diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 629fd787..18877785 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -8,6 +8,9 @@ on: branches: - "*" types: [opened, synchronize, reopened] +concurrency: + group: ${{ github.ref }} + cancel-in-progress: false jobs: build: name: Build binaries @@ -18,17 +21,6 @@ jobs: - Debug - Release steps: - - name: Wait for previous workflows - if: github.event_name == 'push' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/develop') - uses: softprops/turnstyle@v1 - with: - poll-interval-seconds: 10 - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - - - name: Set up git config - run: git config --global url."https://".insteadOf git:// - - name: Check out files uses: actions/checkout@v3 with: @@ -38,10 +30,9 @@ jobs: lfs: false - name: Add msbuild to PATH - uses: microsoft/setup-msbuild@v1.0.2 + uses: microsoft/setup-msbuild@v1.1.3 - name: Generate project files - #run: tools/premake5 vs2022 --ci-build run: tools/premake5 vs2022 - name: Set up problem matching @@ -51,7 +42,7 @@ jobs: run: msbuild /m /v:minimal /p:Configuration=${{matrix.configuration}} /p:Platform=x64 build/h1-mod.sln - name: Upload ${{matrix.configuration}} binaries - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v3.1.0 with: name: ${{matrix.configuration}} binaries path: | @@ -59,7 +50,7 @@ jobs: build/bin/x64/${{matrix.configuration}}/h1-mod.pdb - name: Upload ${{matrix.configuration}} data artifacts - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v3.1.0 with: name: ${{matrix.configuration}} data artifacts path: | @@ -79,12 +70,12 @@ jobs: run: echo "H1_MOD_MASTER_PATH=${{ secrets.H1_MOD_MASTER_SSH_PATH_DEV }}" >> $GITHUB_ENV - name: Download Release binaries - uses: actions/download-artifact@v2 + uses: actions/download-artifact@v3 with: name: Release binaries - name: Download Release data artifacts - uses: actions/download-artifact@v2 + uses: actions/download-artifact@v3 with: name: Release data artifacts path: data @@ -98,13 +89,6 @@ jobs: - name: Add known hosts run: ssh-keyscan -H ${{ secrets.H1_MOD_MASTER_SSH_ADDRESS }} >> ~/.ssh/known_hosts - - name: Wait for previous workflows - uses: softprops/turnstyle@v1 - with: - poll-interval-seconds: 10 - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - - name: Remove old data files run: ssh ${{ secrets.H1_MOD_MASTER_SSH_USER }}@${{ secrets.H1_MOD_MASTER_SSH_ADDRESS }} rm -rf ${{ env.H1_MOD_MASTER_PATH }}/h1-mod/* diff --git a/.gitmodules b/.gitmodules index a6a9bd10..62d68e1f 100644 --- a/.gitmodules +++ b/.gitmodules @@ -12,7 +12,7 @@ url = https://github.com/TsudaKageyu/minhook.git [submodule "deps/discord-rpc"] path = deps/discord-rpc - url = https://github.com/discord/discord-rpc.git + url = https://github.com/fedddddd/discord-rpc.git [submodule "deps/asmjit"] path = deps/asmjit url = https://github.com/asmjit/asmjit.git @@ -50,7 +50,7 @@ [submodule "deps/gsc-tool"] path = deps/gsc-tool url = https://github.com/xensik/gsc-tool.git - branch = xlabs + branch = dev [submodule "deps/stb"] path = deps/stb url = https://github.com/nothings/stb.git diff --git a/README.md b/README.md index 46739214..2e731411 100644 --- a/README.md +++ b/README.md @@ -10,9 +10,7 @@

-A client for Call of Duty: Modern Warfare Remastered. - -[This project is based on S1x.](https://github.com/XLabsProject/s1x-client) +NOTE: You must legally own Call of Duty®: Modern Warfare Remastered to run this mod. Cracked/Pirated versions of the game are **NOT** supported. ## Compile from source @@ -27,13 +25,11 @@ A client for Call of Duty: Modern Warfare Remastered. | `--copy-to=PATH` | Optional, copy the EXE to a custom folder after build, define the path here if wanted. | | `--dev-build` | Enable development builds of the client. | -## Credits: +## Credits -- [XLabsProject](https://github.com/XLabsProject) - codebase and iw6x/s1x research -- [quaK](https://github.com/Joelrau) - lots of insight and help -- [fed](https://github.com/fedddddd) - fixed DW/networking, work from [h2-mod](https://github.com/fedddddd/h2-mod) -- [Skull](https://github.com/skkuull) + [mjkzy](https://github.com/mjkzy) - porting code from s1x -- [momo5502](https://github.com/momo5502) - Arxan/Steam research, developer of XLabsProject :D +- [S1x](https://github.com/XLabsProject/s1x-client) - codebase and research (predecessor of MWR) +- [h2-mod](https://github.com/fedddddd/h2-mod) - research (successor of MWR) +- [momo5502](https://github.com/momo5502) - Arxan/Steam research, developer of [XLabsProject](https://github.com/XLabsProject) ## Disclaimer diff --git a/data/cdata/scripts/mp/classes.gsc b/data/cdata/scripts/mp/classes.gsc new file mode 100644 index 00000000..0286f8e7 --- /dev/null +++ b/data/cdata/scripts/mp/classes.gsc @@ -0,0 +1,34 @@ +main() +{ + replacefunc(maps\mp\gametypes\_menus::getclasschoice, ::getclasschoice); +} + +getclasschoice(choice) +{ + if (choice <= 100) + { + if (getdvar("sv_disableCustomClasses") == "1") + { + return "class0"; + } + + choice = "custom" + choice; + } + else if (choice <= 200) + { + choice -= 101; + choice = "class" + choice; + } + else if ( choice <= 206 ) + { + choice -= 200; + choice = "axis_recipe" + choice; + } + else + { + choice -= 206; + choice = "allies_recipe" + choice; + } + + return choice; +} diff --git a/data/cdata/scripts/mp_patches/custom_weapons.gsc b/data/cdata/scripts/mp_patches/custom_weapons.gsc new file mode 100644 index 00000000..cbbd16cd --- /dev/null +++ b/data/cdata/scripts/mp_patches/custom_weapons.gsc @@ -0,0 +1,383 @@ +main() +{ + replacefunc(maps\mp\gametypes\_class::isvalidprimary, ::isvalidprimary); + replacefunc(maps\mp\gametypes\_class::isvalidsecondary, ::isvalidsecondary); + replacefunc(maps\mp\gametypes\_class::isvalidweapon, ::isvalidweapon); + replacefunc(maps\mp\gametypes\_class::buildweaponname, ::buildweaponname); + replacefunc(maps\mp\gametypes\_weapons::watchweaponchange, ::watchweaponchange); +} + +find_in_table(csv, weap) +{ + rows = tablegetrowcount(csv); + + for (i = 0; i < rows; i++) + { + if (tablelookupbyrow(csv, i, 0) == weap) + { + return true; + } + } + + return false; +} + +get_attachment_override(weapon, attachment) +{ + csv = "mp/attachoverrides.csv"; + rows = tablegetrowcount(csv); + + if (!issubstr(weapon, "_mp")) + { + weapon += "_mp"; + } + + for (i = 0; i < rows; i++) + { + if (tablelookupbyrow(csv, i, 0) == weapon && tablelookupbyrow(csv, i, 1) == attachment) + { + return tablelookupbyrow(csv, i, 2); + } + } +} + +get_attachment_name(weapon, attachment) +{ + name = tablelookup("mp/attachkits.csv", 1, attachment, 2); + override = get_attachment_override(weapon, name); + + if (isdefined(override) && override != "") + { + return override; + } + + return name; +} + +is_custom_weapon(weap) +{ + return find_in_table("mp/customweapons.csv", weap); +} + +watchweaponchange() +{ + self endon("death"); + self endon("disconnect"); + self endon("faux_spawn"); + thread maps\mp\gametypes\_weapons::watchstartweaponchange(); + self.lastdroppableweapon = self.currentweaponatspawn; + self.hitsthismag = []; + var_0 = self getcurrentweapon(); + + if (maps\mp\_utility::iscacprimaryweapon(var_0) && !isdefined(self.hitsthismag[var_0])) + { + self.hitsthismag[var_0] = weaponclipsize(var_0); + } + + self.bothbarrels = undefined; + + if (issubstr(var_0, "ranger")) + { + thread maps\mp\gametypes\_weapons::watchrangerusage(var_0); + } + + var_1 = 1; + + for (;;) + { + if (!var_1) + { + self waittill("weapon_change"); + } + + var_1 = 0; + var_0 = self getcurrentweapon(); + + if (var_0 == "none") + { + continue; + } + + var_2 = getweaponattachments(var_0); + self.has_opticsthermal = 0; + self.has_target_enhancer = 0; + self.has_stock = 0; + self.has_laser = 0; + + if (isdefined(var_2)) + { + foreach (var_4 in var_2) + { + if (var_4 == "opticstargetenhancer") + { + self.has_target_enhancer = 1; + continue; + } + + if (var_4 == "stock") + { + self.has_stock = 1; + continue; + } + + if (var_4 == "lasersight") + { + self.has_laser = 1; + continue; + } + + if (issubstr(var_4, "opticsthermal")) + { + self.has_opticsthermal = 1; + } + } + } + + if (maps\mp\_utility::isbombsiteweapon(var_0)) + { + continue; + } + + var_6 = maps\mp\_utility::getweaponnametokens(var_0); + self.bothbarrels = undefined; + + if (issubstr(var_0, "ranger")) + { + thread maps\mp\gametypes\_weapons::watchrangerusage(var_0); + } + + if (var_6[0] == "alt") + { + var_7 = getsubstr(var_0, 4); + var_0 = var_7; + var_6 = maps\mp\_utility::getweaponnametokens(var_0); + } + + if (var_0 != "none" && var_6[0] != "iw5" && var_6[0] != "iw6" && var_6[0] != "h1" && var_6[0] != "h2") + { + if (maps\mp\_utility::iscacprimaryweapon(var_0) && !isdefined(self.hitsthismag[var_0 + "_mp"])) + { + self.hitsthismag[var_0 + "_mp"] = weaponclipsize(var_0 + "_mp"); + } + } + else if (var_0 != "none" && (var_6[0] == "iw5" || var_6[0] == "iw6" || var_6[0] == "h1" || var_6[0] == "h2")) + { + if (maps\mp\_utility::iscacprimaryweapon(var_0) && !isdefined(self.hitsthismag[var_0])) + { + self.hitsthismag[var_0] = weaponclipsize(var_0); + } + } + + if (maps\mp\gametypes\_weapons::maydropweapon(var_0)) + { + self.lastdroppableweapon = var_0; + } + + self.changingweapon = undefined; + } +} + +buildweaponname(var_0, var_1, var_2, var_3, var_4, var_5) +{ + if (!isdefined(var_0) || var_0 == "none" || var_0 == "") + { + return var_0; + } + + if (!isdefined(level.lettertonumber)) + { + level.lettertonumber = maps\mp\gametypes\_class::makeletterstonumbers(); + } + + var_6 = ""; + + if (issubstr(var_0, "iw5_") || issubstr(var_0, "h1_") || issubstr(var_0, "h2_")) + { + var_7 = var_0 + "_mp"; + var_8 = var_0.size; + + if (issubstr(var_0, "h1_") || issubstr(var_0, "h2_")) + { + var_6 = getsubstr(var_0, 3, var_8); + } + else + { + var_6 = getsubstr(var_0, 4, var_8); + } + } + else + { + var_7 = var_0; + var_6 = var_0; + } + + if (var_7 == "h1_junsho_mp") + { + var_1 = "akimbohidden"; + } + + var_9 = isdefined(var_1) && var_1 != "none"; + var_10 = isdefined(var_2) && var_2 != "none"; + + if (!var_10) + { + var_11 = tablelookuprownum("mp/furniturekits/base.csv", 0, var_7); + + if (var_11 >= 0) + { + var_2 = "base"; + var_10 = 1; + } + } + + if (!issubstr(var_0, "h1_")) + { + if (var_9) + { + name = get_attachment_name(var_0, var_1); + if (isdefined(name) && name != "") + { + var_7 += "_" + name; + } + } + } + else if (var_9 || var_10) + { + if (!var_9) + var_1 = "none"; + + if (!var_10) + var_2 = "base"; + + var_7 += ("_a#" + var_1); + var_7 += ("_f#" + var_2); + } + + if (issubstr(var_7, "iw5_") || issubstr(var_7, "h1_") || issubstr(var_7, "h2_")) + { + var_7 = maps\mp\gametypes\_class::buildweaponnamereticle(var_7, var_4); + var_7 = maps\mp\gametypes\_class::buildweaponnameemblem(var_7, var_5); + var_7 = maps\mp\gametypes\_class::buildweaponnamecamo(var_7, var_3); + return var_7; + } + else if (!isvalidweapon(var_7 + "_mp")) + { + return var_0 + "_mp"; + } + else + { + var_7 = maps\mp\gametypes\_class::buildweaponnamereticle(var_7, var_4); + var_7 = maps\mp\gametypes\_class::buildweaponnameemblem(var_7, var_5); + var_7 = maps\mp\gametypes\_class::buildweaponnamecamo(var_7, var_3); + return var_7 + "_mp"; + } +} + +isvalidweapon(var_0, var_1) +{ + if (!isdefined(level.weaponrefs)) + { + level.weaponrefs = []; + + foreach (var_3 in level.weaponlist) + { + level.weaponrefs[var_3] = 1; + } + } + + if (isdefined(level.weaponrefs[var_0])) + { + return 1; + } + + return 0; +} + +isvalidsecondary(var_0, var_1, var_2) +{ + if (maps\mp\_utility::is_true(var_1)) + { + return isvalidprimary(var_0); + } + + if (maps\mp\_utility::islootweapon(var_0)) + { + var_0 = maps\mp\gametypes\_class::getbasefromlootversion(var_0); + } + + if (is_custom_weapon(var_0)) + { + return true; + } + + switch (var_0) + { + case "none": + case "h1_beretta": + case "h1_colt45": + case "h1_deserteagle": + case "h1_deserteagle55": + case "h1_usp": + case "h1_janpst": + case "h1_aprpst": + case "h1_augpst": + case "h1_rpg": + return 1; + default: + return 0; + } + + return 0; +} + + +isvalidprimary(var_0, var_1) +{ + if (is_custom_weapon(var_0)) + { + return true; + } + + switch (var_0) + { + case "h1_ak47": + case "h1_g3": + case "h1_g36c": + case "h1_m14": + case "h1_m16": + case "h1_m4": + case "h1_mp44": + case "h1_xmlar": + case "h1_aprast": + case "h1_augast": + case "h1_ak74u": + case "h1_mp5": + case "h1_p90": + case "h1_skorpion": + case "h1_uzi": + case "h1_febsmg": + case "h1_aprsmg": + case "h1_augsmg": + case "h1_m1014": + case "h1_winchester1200": + case "h1_kam12": + case "h1_junsho": + case "h1_m60e4": + case "h1_rpd": + case "h1_saw": + case "h1_feblmg": + case "h1_junlmg": + case "h1_barrett": + case "h1_dragunov": + case "h1_m21": + case "h1_m40a3": + case "h1_remington700": + case "h1_febsnp": + case "h1_junsnp": + return 1; + default: + return 0; + } + + return 0; +} diff --git a/data/cdata/scripts/sp/battlechatter_patch.gsc b/data/cdata/scripts/sp/battlechatter_patch.gsc new file mode 100644 index 00000000..8dcb59d2 --- /dev/null +++ b/data/cdata/scripts/sp/battlechatter_patch.gsc @@ -0,0 +1,242 @@ +main() +{ + replacefunc(animscripts\battlechatter::init_battlechatter, ::init_battlechatter); +} + +init_battlechatter() +{ + if ( isdefined( anim.chatinitialized ) && anim.chatinitialized ) + return; + + if ( getdvar( "bcs_enable" ) == "" ) + setdvar( "bcs_enable", "on" ); + + if ( getdvar( "bcs_enable" ) == "off" ) + { + anim.chatinitialized = 0; + anim.player.chatinitialized = 0; + return; + } + + anim.chatinitialized = 1; + anim.player.chatinitialized = 0; + + if ( getdvar( "bcs_filterThreat" ) == "" ) + setdvar( "bcs_filterThreat", "off" ); + + if ( getdvar( "bcs_filterInform" ) == "" ) + setdvar( "bcs_filterInform", "off" ); + + if ( getdvar( "bcs_filterOrder" ) == "" ) + setdvar( "bcs_filterOrder", "off" ); + + if ( getdvar( "bcs_filterReaction" ) == "" ) + setdvar( "bcs_filterReaction", "off" ); + + if ( getdvar( "bcs_filterResponse" ) == "" ) + setdvar( "bcs_filterResponse", "off" ); + + if ( getdvar( "bcs_threatLimitTargettedBySelf" ) == "" ) + setdvar( "bcs_threatLimitTargettedBySelf", "off" ); + + if ( getdvar( "bcs_threatLimitTargetingPlayer" ) == "" ) + setdvar( "bcs_threatLimitTargetingPlayer", "off" ); + + if ( getdvar( "bcs_threatLimitInPlayerFOV" ) == "" ) + setdvar( "bcs_threatLimitInPlayerFOV", "on" ); + + if ( getdvar( "bcs_threatLimitInLocation" ) == "" ) + setdvar( "bcs_threatLimitInLocation", "on" ); + + if ( getdvar( "bcs_threatLimitSpeakerDist" ) == "" ) + setdvar( "bcs_threatLimitSpeakerDist", "512" ); + + if ( getdvar( "bcs_threatLimitThreatDist" ) == "" ) + setdvar( "bcs_threatLimitThreatDist", "2048" ); + + if ( getdvar( "bcs_threatPlayerRelative" ) == "" ) + setdvar( "bcs_threatPlayerRelative", "off" ); + + if ( getdvar( "debug_bcprint" ) == "" ) + setdvar( "debug_bcprint", "off" ); + + if ( getdvar( "debug_bcshowqueue" ) == "" ) + setdvar( "debug_bcshowqueue", "off" ); + + if ( getdvar( "debug_bcprintdump" ) == "" ) + setdvar( "debug_bcprintdump", "off" ); + + anim.countryids["british"] = "UK"; + anim.countryids["american"] = "US"; + anim.countryids["russian"] = "RU"; + anim.countryids["arab"] = "AB"; + anim.usedids = []; + anim.usedids["russian"] = []; + anim.usedids["russian"][0] = spawnstruct(); + anim.usedids["russian"][0].count = 0; + anim.usedids["russian"][0].npcid = "1"; + anim.usedids["russian"][1] = spawnstruct(); + anim.usedids["russian"][1].count = 0; + anim.usedids["russian"][1].npcid = "2"; + anim.usedids["russian"][2] = spawnstruct(); + anim.usedids["russian"][2].count = 0; + anim.usedids["russian"][2].npcid = "3"; + anim.usedids["british"] = []; + anim.usedids["british"][0] = spawnstruct(); + anim.usedids["british"][0].count = 0; + anim.usedids["british"][0].npcid = "0"; + anim.usedids["british"][1] = spawnstruct(); + anim.usedids["british"][1].count = 0; + anim.usedids["british"][1].npcid = "1"; + anim.usedids["british"][2] = spawnstruct(); + anim.usedids["british"][2].count = 0; + anim.usedids["british"][2].npcid = "2"; + anim.usedids["british"][3] = spawnstruct(); + anim.usedids["british"][3].count = 0; + anim.usedids["british"][3].npcid = "3"; + anim.usedids["american"] = []; + anim.usedids["american"][0] = spawnstruct(); + anim.usedids["american"][0].count = 0; + anim.usedids["american"][0].npcid = "0"; //0 - US_7 + anim.usedids["american"][1] = spawnstruct(); + anim.usedids["american"][1].count = 0; + anim.usedids["american"][1].npcid = "1"; + anim.usedids["american"][2] = spawnstruct(); + anim.usedids["american"][2].count = 0; + anim.usedids["american"][2].npcid = "2"; + anim.usedids["american"][3] = spawnstruct(); + anim.usedids["american"][3].count = 0; + anim.usedids["american"][3].npcid = "3"; + anim.usedids["american"][4] = spawnstruct(); + anim.usedids["american"][4].count = 0; + anim.usedids["american"][4].npcid = "4"; //4 - US_6 + anim.usedids["arab"] = []; + anim.usedids["arab"][0] = spawnstruct(); + anim.usedids["arab"][0].count = 0; + anim.usedids["arab"][0].npcid = "0"; + anim.usedids["arab"][1] = spawnstruct(); + anim.usedids["arab"][1].count = 0; + anim.usedids["arab"][1].npcid = "1"; + anim.usedids["arab"][2] = spawnstruct(); + anim.usedids["arab"][2].count = 0; + anim.usedids["arab"][2].npcid = "2"; + anim.usedids["arab"][3] = spawnstruct(); + anim.usedids["arab"][3].count = 0; + anim.usedids["arab"][3].npcid = "3"; + anim.eventtypeminwait = []; + anim.eventtypeminwait["threat"] = []; + anim.eventtypeminwait["response"] = []; + anim.eventtypeminwait["reaction"] = []; + anim.eventtypeminwait["order"] = []; + anim.eventtypeminwait["inform"] = []; + anim.eventtypeminwait["custom"] = []; + anim.eventtypeminwait["direction"] = []; + + if ( isdefined( level._stealth ) ) + { + anim.eventactionminwait["threat"]["self"] = 20000; + anim.eventactionminwait["threat"]["squad"] = 30000; + } + else + { + anim.eventactionminwait["threat"]["self"] = 12000; + anim.eventactionminwait["threat"]["squad"] = 8000; + } + + anim.eventactionminwait["response"]["self"] = 1000; + anim.eventactionminwait["response"]["squad"] = 1000; + anim.eventactionminwait["reaction"]["self"] = 1000; + anim.eventactionminwait["reaction"]["squad"] = 1000; + anim.eventactionminwait["order"]["self"] = 8000; + anim.eventactionminwait["order"]["squad"] = 40000; + anim.eventactionminwait["inform"]["self"] = 6000; + anim.eventactionminwait["inform"]["squad"] = 8000; + anim.eventactionminwait["custom"]["self"] = 0; + anim.eventactionminwait["custom"]["squad"] = 5000; + anim.eventtypeminwait["reaction"]["casualty"] = 20000; + anim.eventtypeminwait["reaction"]["taunt"] = 200000; + anim.eventtypeminwait["inform"]["reloading"] = 20000; + anim.eventpriority["threat"]["infantry"] = 0.5; + anim.eventpriority["threat"]["vehicle"] = 0.7; + anim.eventpriority["response"]["killfirm"] = 0.8; + anim.eventpriority["response"]["ack"] = 0.9; + anim.eventpriority["reaction"]["casualty"] = 0.5; + anim.eventpriority["reaction"]["taunt"] = 0.9; + anim.eventpriority["order"]["cover"] = 0.9; + anim.eventpriority["order"]["action"] = 0.5; + anim.eventpriority["order"]["move"] = 0.9; + anim.eventpriority["order"]["displace"] = 0.5; + anim.eventpriority["inform"]["killfirm"] = 0.6; + anim.eventpriority["inform"]["attack"] = 0.9; + anim.eventpriority["inform"]["incoming"] = 0.8; + anim.eventpriority["inform"]["reloading"] = 0.2; + anim.eventpriority["inform"]["suppressed"] = 0.2; + anim.eventpriority["custom"]["generic"] = 1.0; + anim.eventduration["threat"]["infantry"] = 1000; + anim.eventduration["threat"]["vehicle"] = 1000; + anim.eventduration["response"]["killfirm"] = 3000; + anim.eventduration["response"]["ack"] = 2000; + anim.eventduration["reaction"]["casualty"] = 2000; + anim.eventduration["reaction"]["taunt"] = 2000; + anim.eventduration["order"]["cover"] = 3000; + anim.eventduration["order"]["action"] = 3000; + anim.eventduration["order"]["move"] = 3000; + anim.eventduration["order"]["displace"] = 3000; + anim.eventduration["inform"]["killfirm"] = 1000; + anim.eventduration["inform"]["attack"] = 1000; + anim.eventduration["inform"]["incoming"] = 1000; + anim.eventduration["inform"]["reloading"] = 1000; + anim.eventduration["inform"]["suppressed"] = 2000; + anim.eventduration["custom"]["generic"] = 1000; + anim.chatcount = 0; + anim.moveorigin = spawn( "script_origin", ( 0.0, 0.0, 0.0 ) ); + anim.areas = getentarray( "trigger_location", "targetname" ); + anim.locations = getentarray( "trigger_location", "targetname" ); + anim.landmarks = getentarray( "trigger_landmark", "targetname" ); + anim.squadcreatefuncs[anim.squadcreatefuncs.size] = animscripts\battlechatter::init_squadbattlechatter; + anim.squadcreatestrings[anim.squadcreatestrings.size] = "::init_squadBattleChatter"; + anim.isteamspeaking["allies"] = 0; + anim.isteamsaying["allies"]["threat"] = 0; + anim.isteamsaying["allies"]["order"] = 0; + anim.isteamsaying["allies"]["reaction"] = 0; + anim.isteamsaying["allies"]["response"] = 0; + anim.isteamsaying["allies"]["inform"] = 0; + anim.isteamsaying["allies"]["custom"] = 0; + anim.isteamspeaking["axis"] = 0; + anim.isteamsaying["axis"]["threat"] = 0; + anim.isteamsaying["axis"]["order"] = 0; + anim.isteamsaying["axis"]["reaction"] = 0; + anim.isteamsaying["axis"]["response"] = 0; + anim.isteamsaying["axis"]["inform"] = 0; + anim.isteamsaying["axis"]["custom"] = 0; + anim.isteamspeaking["neutral"] = 0; + anim.isteamsaying["neutral"]["threat"] = 0; + anim.isteamsaying["neutral"]["order"] = 0; + anim.isteamsaying["neutral"]["reaction"] = 0; + anim.isteamsaying["neutral"]["response"] = 0; + anim.isteamsaying["neutral"]["inform"] = 0; + anim.isteamsaying["neutral"]["custom"] = 0; + + if ( !isdefined( level.battlechatter ) ) + { + level.battlechatter = []; + level.battlechatter["allies"] = 1; + level.battlechatter["axis"] = 1; + level.battlechatter["neutral"] = 1; + } + + anim.lastteamspeaktime = []; + anim.lastteamspeaktime["allies"] = -5000; + anim.lastteamspeaktime["axis"] = -5000; + + for ( var_0 = 0; var_0 < anim.squadindex.size; var_0++ ) + { + if ( isdefined( anim.squadindex[var_0].chatinitialized ) && anim.squadindex[var_0].chatinitialized ) + continue; + + anim.squadindex[var_0] animscripts\battlechatter::init_squadbattlechatter(); + } + + level notify( "battlechatter initialized" ); + anim notify( "battlechatter initialized" ); +} \ No newline at end of file diff --git a/data/cdata/ui_scripts/classes/__init__.lua b/data/cdata/ui_scripts/classes/__init__.lua new file mode 100644 index 00000000..f1c997ee --- /dev/null +++ b/data/cdata/ui_scripts/classes/__init__.lua @@ -0,0 +1,13 @@ +if game:issingleplayer() or (Engine.InFrontend()) then + return +end + +local getclasscount = Cac.GetCustomClassCount +Cac.GetCustomClassCount = function(...) + local value = Engine.GetDvarBool("sv_disableCustomClasses") + if (value) then + return 0 + end + + return getclasscount(...) +end \ No newline at end of file diff --git a/data/cdata/ui_scripts/custom_weapons/__init__.lua b/data/cdata/ui_scripts/custom_weapons/__init__.lua new file mode 100644 index 00000000..7adcd8fb --- /dev/null +++ b/data/cdata/ui_scripts/custom_weapons/__init__.lua @@ -0,0 +1,26 @@ +if game:issingleplayer() or (not Engine.InFrontend()) then + return +end + +local cols = { + name = 0, + class = 1, +} + +local csv = "mp/customWeapons.csv" +local rows = Engine.TableGetRowCount(csv) +for i = 0, rows do + local weap = Engine.TableLookupByRow(csv, i, cols.name) + local class = Engine.TableLookupByRow(csv, i, cols.class) + if (type(Cac.Weapons.Primary[class]) == "table") then + table.insert(Cac.Weapons.Primary[class], { + weap, + 0 + }) + elseif (type(Cac.Weapons.Secondary[class]) == "table") then + table.insert(Cac.Weapons.Secondary[class], { + weap, + 0 + }) + end +end diff --git a/data/cdata/ui_scripts/discord/__init__.lua b/data/cdata/ui_scripts/discord/__init__.lua index fe988a68..a4d0520f 100644 --- a/data/cdata/ui_scripts/discord/__init__.lua +++ b/data/cdata/ui_scripts/discord/__init__.lua @@ -2,7 +2,7 @@ if (game:issingleplayer() or Engine.InFrontend()) then return end -local container = LUI.UIVerticalList.new({ +local container = LUI.UIElement.new({ topAnchor = true, rightAnchor = true, top = 20, @@ -11,20 +11,6 @@ local container = LUI.UIVerticalList.new({ spacing = 5 }) -function canasktojoin(userid) - history = history or {} - if (history[userid] ~= nil) then - return false - end - - history[userid] = true - game:ontimeout(function() - history[userid] = nil - end, 15000) - - return true -end - function truncatename(name, length) if (#name <= length - 3) then return name @@ -33,27 +19,57 @@ function truncatename(name, length) return name:sub(1, length - 3) .. "..." end +local requestlist = {} +local requestcount = 0 + function addrequest(request) - if (not canasktojoin(request.userid)) then - return + for i = 1, #requestlist do + if (requestlist[i].userid == request.userid or #requestlist > 5) then + return + end end - if (container.temp) then - container:removeElement(container.temp) - container.temp = nil - end + request.id = requestcount + requestcount = requestcount + 1 + local yoffset = #requestlist * (75 + 5) local invite = LUI.UIElement.new({ leftAnchor = true, rightAnchor = true, - height = 75 + height = 75, + top = yoffset }) + local getcurrentindex = function() + for i = 1, #requestlist do + if (requestlist[i].id == request.id) then + return i + end + end + + return 0 + end + + invite:registerEventHandler("update_position", function() + yoffset = (getcurrentindex() - 1) * (75 + 5) + local state = { + leftAnchor = true, + height = 75, + width = 200, + left = -220, + top = yoffset + } + + invite:registerAnimationState("default", state) + invite:animateToState("default", 50) + end) + invite:registerAnimationState("move_in", { leftAnchor = true, height = 75, width = 200, - left = -220 + left = -220, + top = yoffset }) invite:animateToState("move_in", 100) @@ -105,7 +121,7 @@ function addrequest(request) width = 32, height = 32, left = 1, - material = RegisterMaterial(avatarmaterial) + material = avatarmaterial }) local username = LUI.UIText.new({ @@ -119,8 +135,9 @@ function addrequest(request) font = CoD.TextSettings.BodyFontBold.Font }) - username:setText(string.format("%s^7#%s requested to join your game!", truncatename(request.username, 18), - request.discriminator)) + local requesttext = Engine.Localize("LUA_MENU_DISCORD_REQUEST", truncatename(request.displayname, 18)) + + username:setText(requesttext) local buttons = LUI.UIElement.new({ leftAnchor = true, @@ -156,51 +173,54 @@ function addrequest(request) return button end - buttons:addElement(createbutton("[F1] Accept", true)) - buttons:addElement(createbutton("[F2] Deny")) + local accepttext = Engine.Localize("LUA_MENU_DISCORD_ACCEPT", game:getcommandbind("discord_accept")) + local denytext = Engine.Localize("LUA_MENU_DISCORD_DENY", game:getcommandbind("discord_deny")) + + buttons:addElement(createbutton(accepttext, true)) + buttons:addElement(createbutton(denytext)) local fadeouttime = 50 local timeout = 10 * 1000 - fadeouttime local function close() - container:processEvent({ - name = "update_navigation", - dispatchToChildren = true + table.remove(requestlist, getcurrentindex()) + + invite:registerAnimationState("fade_out", { + leftAnchor = true, + rightAnchor = true, + height = 75, + alpha = 0, + left = 0, + top = yoffset }) + invite:animateToState("fade_out", fadeouttime) invite:addElement(LUI.UITimer.new(fadeouttime + 50, "remove")) invite:registerEventHandler("remove", function() container:removeElement(invite) - if (container.temp) then - container:removeElement(container.temp) - container.temp = nil - end - local temp = LUI.UIElement.new({}) - container.temp = temp - container:addElement(temp) + container:processEvent({ + name = "update_position", + dispatchToChildren = true + }) end) end - buttons:registerEventHandler("keydown_", function(element, event) - if (event.key == "F1") then - close() - discord.respond(request.userid, discord.reply.yes) + local closed = false + request.handleresponse = function(event) + if (closed) then + return end - if (event.key == "F2") then - close() + if (event.accept) then + discord.respond(request.userid, discord.reply.yes) + else discord.respond(request.userid, discord.reply.no) end - end) - invite:registerAnimationState("fade_out", { - leftAnchor = true, - rightAnchor = true, - height = 75, - alpha = 0, - left = 0 - }) + closed = true + close() + end invite:addElement(LUI.UITimer.new(timeout, "end_invite")) invite:registerEventHandler("end_invite", function() @@ -236,7 +256,7 @@ function addrequest(request) avatar:registerEventHandler("update", function() local avatarmaterial = discord.getavatarmaterial(request.userid) - avatar:setImage(RegisterMaterial(avatarmaterial)) + avatar:setImage(avatarmaterial) end) avatar:addElement(LUI.UITimer.new(100, "update")) @@ -250,19 +270,17 @@ function addrequest(request) padding:addElement(buttons) container:addElement(invite) + + table.insert(requestlist, request) end -container:registerEventHandler("keydown", function(element, event) - local first = container:getFirstChild() - - if (not first) then +LUI.roots.UIRoot0:registerEventHandler("discord_response", function(element, event) + if (#requestlist <= 0) then return end - first:processEvent({ - name = "keydown_", - key = event.key - }) + local request = requestlist[1] + request.handleresponse(event) end) LUI.roots.UIRoot0:registerEventHandler("discord_join_request", function(element, event) diff --git a/data/cdata/ui_scripts/patches/__init__.lua b/data/cdata/ui_scripts/patches/__init__.lua index 6e0cc090..c8776663 100644 --- a/data/cdata/ui_scripts/patches/__init__.lua +++ b/data/cdata/ui_scripts/patches/__init__.lua @@ -1,5 +1,6 @@ require("language") require("background_effects") +require("pausequit") if game:issingleplayer() then require("sp_unlockall") diff --git a/data/cdata/ui_scripts/patches/language.lua b/data/cdata/ui_scripts/patches/language.lua index 1d322afa..809af8bf 100644 --- a/data/cdata/ui_scripts/patches/language.lua +++ b/data/cdata/ui_scripts/patches/language.lua @@ -49,8 +49,8 @@ LUI.MenuBuilder.registerType("choose_language_menu", function(a1) menu:AddButton(Engine.Localize(string.format("MENU_%s", available_languages[i])), function() LUI.yesnopopup({ title = Engine.Localize("@MENU_NOTICE"), - text = Engine.Localize("MENU_" .. current_language) .. " → " .. - Engine.Localize("MENU_" .. available_languages[i]) .. "\n\n" .. + text = "^2" .. Engine.Localize("MENU_" .. current_language) .. "^7 → ^5" .. + Engine.Localize("MENU_" .. available_languages[i]) .. "\n\n^7" .. Engine.Localize("@LUA_MENU_CONFIRM_LANGUAGE") .. " " .. Engine.Localize("@MENU_APPLY_LANGUAGE_SETTINGS"), callback = function(result) diff --git a/data/cdata/ui_scripts/patches/pausequit.lua b/data/cdata/ui_scripts/patches/pausequit.lua new file mode 100644 index 00000000..224e944a --- /dev/null +++ b/data/cdata/ui_scripts/patches/pausequit.lua @@ -0,0 +1,32 @@ +if (Engine.InFrontend()) then + return +end + +if game:issingleplayer() and Engine.GetDvarString("mapname") == "coup" then + LUI.onmenuopen("sp_pause_menu", function(element) + local menu = element:getFirstChild() + menu:AddButton("@MENU_SP_SKIP_MISSION", function() + Engine.Exec("map blackout") + end) + end) +end + +if game:issingleplayer() then + LUI.onmenuopen("sp_pause_menu", function(element) + local menu = element:getFirstChild() + menu:AddButton("@MENU_QUIT_TO_DESKTOP", function() + LUI.FlowManager.RequestAddMenu(nil, "quit_popmenu") + end) + end) +end + +if not game:issingleplayer() then + local quitToDesktop = function() + LUI.FlowManager.RequestAddMenu(nil, "quit_popmenu") + end + local addQuitButton = function(element) + local menu = element + menu:AddButton("@MENU_QUIT_TO_DESKTOP", quitToDesktop) + end + LUI.onmenuopen("mp_pause_menu", addQuitButton) +end diff --git a/data/cdata/ui_scripts/patches/shader_dialog.lua b/data/cdata/ui_scripts/patches/shader_dialog.lua index d4723fe0..3b18e53a 100644 --- a/data/cdata/ui_scripts/patches/shader_dialog.lua +++ b/data/cdata/ui_scripts/patches/shader_dialog.lua @@ -15,7 +15,7 @@ local function dialog(...) yes_text = Engine.Localize("@MENU_YES"), no_text = Engine.Localize("@MENU_NO_DONT_ASK"), no_action = function() - Engine.SetDvarInt("r_preloadShadersFrontendAllow", 0) + Engine.SetDvarBool("r_preloadShadersFrontendAllow", false) end, default_focus_index = 2, cancel_will_close = false diff --git a/data/cdata/ui_scripts/server_list/lobby.lua b/data/cdata/ui_scripts/server_list/lobby.lua index 8d71585c..e2d48619 100644 --- a/data/cdata/ui_scripts/server_list/lobby.lua +++ b/data/cdata/ui_scripts/server_list/lobby.lua @@ -1,7 +1,7 @@ local Lobby = luiglobals.Lobby local MPLobbyOnline = LUI.mp_menus.MPLobbyOnline -function LeaveLobby(f5_arg0) +function LeaveLobby() LeaveXboxLive() if Lobby.IsInPrivateParty() == false or Lobby.IsPrivatePartyHost() then LUI.FlowManager.RequestLeaveMenuByName("menu_xboxlive") @@ -9,7 +9,7 @@ function LeaveLobby(f5_arg0) end end -function menu_xboxlive(f16_arg0, f16_arg1) +function menu_xboxlive(f16_arg0) local menu = LUI.MPLobbyBase.new(f16_arg0, { menu_title = "@PLATFORM_UI_HEADER_PLAY_MP_CAPS", memberListState = Lobby.MemberListStates.Prelobby @@ -17,7 +17,7 @@ function menu_xboxlive(f16_arg0, f16_arg1) menu:setClass(LUI.MPLobbyOnline) - local serverListButton = menu:AddButton("@LUA_MENU_SERVERLIST", function(a1, a2) + local serverListButton = menu:AddButton("@LUA_MENU_SERVERLIST", function(a1) LUI.FlowManager.RequestAddMenu(a1, "menu_systemlink_join", true, nil) end) serverListButton:setDisabledRefreshRate(500) @@ -27,9 +27,7 @@ function menu_xboxlive(f16_arg0, f16_arg1) menu:AddPersonalizationButton() menu:AddDepotButton() - -- kinda a weird place to do this, but it's whatever - -- add "MODS" button below depot button - local modsButton = menu:AddButton("@MENU_MODS", function(a1, a2) + menu:AddButton("@MENU_MODS", function(a1) LUI.FlowManager.RequestAddMenu(a1, "mods_menu", true, nil) end) end @@ -58,6 +56,8 @@ function menu_xboxlive(f16_arg0, f16_arg1) menu:addElement(self) end + menu:AddMenuDescription(1) + menu:AddMarketingPanel(LUI.MarketingLocation.Featured, LUI.ComScore.ScreenID.PlayOnline) menu.isSignInMenu = true menu:registerEventHandler("gain_focus", LUI.MPLobbyOnline.OnGainFocus) menu:registerEventHandler("player_joined", luiglobals.Cac.PlayerJoinedEvent) @@ -81,7 +81,16 @@ function menu_xboxlive(f16_arg0, f16_arg1) end end) + menu:AddHelp({ + name = "add_button_helper_text", + button_ref = "", + helper_text = " ", + side = "left", + priority = -9000, + clickable = false + }) + return menu end -LUI.MenuBuilder.m_types_build["menu_xboxlive"] = menu_xboxlive +LUI.MenuBuilder.m_types_build["menu_xboxlive"] = menu_xboxlive \ No newline at end of file diff --git a/data/cdata/ui_scripts/server_list/serverlist.lua b/data/cdata/ui_scripts/server_list/serverlist.lua index e6c80757..bf9525e8 100644 --- a/data/cdata/ui_scripts/server_list/serverlist.lua +++ b/data/cdata/ui_scripts/server_list/serverlist.lua @@ -10,19 +10,23 @@ local columns = {{ text = "@MENU_HOST_NAME", dataindex = 0 }, { - offset = 500, + offset = 440, text = "@MENU_MAP", dataindex = 1 }, { - offset = 725, + offset = 615, text = "@MENU_TYPE1", dataindex = 3 }, { - offset = 920, + offset = 780, + text = "@EXE_SV_INFO_MOD", + dataindex = 6 +}, { + offset = 980, text = "@MENU_NUMPLAYERS", dataindex = 2 }, { - offset = 1070, + offset = 1100, text = "@MENU_PING", dataindex = 4 }, { diff --git a/data/zone_source/h1_mod_common.csv b/data/zone_source/h1_mod_common.csv index b69a5031..a0e9c4f5 100644 --- a/data/zone_source/h1_mod_common.csv +++ b/data/zone_source/h1_mod_common.csv @@ -1,2 +1,3 @@ localize,english +ttf,fonts/bank_h1.ttf ttf,fonts/default.otf \ No newline at end of file diff --git a/data/zonetool/fra_h1_mod_common_mp/localizedstrings/french.json b/data/zonetool/fra_h1_mod_common_mp/localizedstrings/french.json index 1b006bfd..fbabba13 100644 --- a/data/zonetool/fra_h1_mod_common_mp/localizedstrings/french.json +++ b/data/zonetool/fra_h1_mod_common_mp/localizedstrings/french.json @@ -2,7 +2,7 @@ "LUA_MENU_SERVERLIST": "Liste des serveurs", "PLATFORM_SYSTEM_LINK_TITLE": "LISTE DES SERVEURS", "MENU_NUMPLAYERS": "Joueurs", - "MENU_PING": "Latence", + "MENU_PING": "Ping", "SERVERLIST_PLAYER_COUNT": "&&1 Joueurs", "SERVERLIST_SERVER_COUNT": "&&1 Serveurs", @@ -25,8 +25,8 @@ "LUA_MENU_EDIT_STATS": "Modifier les statistiques", "UPDATER_POPUP_NO_UPDATES_AVAILABLE": "Aucune mise à jour disponible", - "UPDATER_POPUP_AVAILABLE_UPDATE_TEXT": "Une mise à jour est disponible,\npoursuivre l'installation ?", + "MENU_CCS_NEW_PATCH_NOTICE": "Une mise à jour est disponible,\npoursuivre l'installation ?", "UPDATER_POPUP_SUCCESSFUL": "Mise à jour réussie", - "UPDATER_POPUP_RESTART_POPUP_TEXT": "La mise à jour nécessite un redémarrage", + "MENU_CCS_RESTART_CONFIRMATION_TEXT": "La mise à jour nécessite un redémarrage", "UPDATER_POPUP_CHECKING_FOR_UPDATES": "Vérification des mises à jour..." } \ No newline at end of file diff --git a/data/zonetool/h1_mod_common/fonts/bank_h1.ttf b/data/zonetool/h1_mod_common/fonts/bank_h1.ttf new file mode 100644 index 00000000..71ffc345 Binary files /dev/null and b/data/zonetool/h1_mod_common/fonts/bank_h1.ttf differ diff --git a/data/zonetool/h1_mod_common/fonts/default.otf b/data/zonetool/h1_mod_common/fonts/default.otf index ad4f12ef..6bdf48ec 100644 Binary files a/data/zonetool/h1_mod_common/fonts/default.otf and b/data/zonetool/h1_mod_common/fonts/default.otf differ diff --git a/data/zonetool/h1_mod_common/localizedstrings/english.json b/data/zonetool/h1_mod_common/localizedstrings/english.json index 6ee0187a..989ede95 100644 --- a/data/zonetool/h1_mod_common/localizedstrings/english.json +++ b/data/zonetool/h1_mod_common/localizedstrings/english.json @@ -31,6 +31,7 @@ "PLATFORM_SYSTEM_LINK_TITLE": "SERVER LIST", "MENU_NUMPLAYERS": "Players", "MENU_PING": "Ping", + "MENU_MOD": "Mod", "SERVERLIST_PLAYER_COUNT": "&&1 Players", "SERVERLIST_SERVER_COUNT": "&&1 Servers", "EXE_SAY": "^3Match^7", @@ -55,9 +56,10 @@ "LUA_MENU_EDIT_STATS": "Edit Stats", "UPDATER_POPUP_NO_UPDATES_AVAILABLE": "No updates available", - "UPDATER_POPUP_AVAILABLE_UPDATE_TEXT": "An update is available, proceed with installation?", + "MENU_CCS_NEW_PATCH_NOTICE": "An update is available, proceed with installation?", + "MENU_DOWNLOAD_AUTOUPDATE_PATCH": " ", "UPDATER_POPUP_SUCCESSFUL": "Update successful", - "UPDATER_POPUP_RESTART_POPUP_TEXT": "Update requires restart", + "MENU_CCS_RESTART_CONFIRMATION_TEXT": "Update requires restart", "UPDATER_POPUP_CHECKING_FOR_UPDATES": "Checking for updates...", "MPHUD_FPS": "FPS: ", @@ -93,5 +95,6 @@ "LOCALE_RUSSIAN": "Russian", "LOCALE_SIMPLIFIED_CHINESE": "Simplified Chinese", "LOCALE_SPANISH": "Spanish", - "LOCALE_TRADITIONAL_CHINESE": "Traditional Chinese" + "LOCALE_TRADITIONAL_CHINESE": "Traditional Chinese", + "MENU_QUIT_TO_DESKTOP": "Quit to Desktop" } \ No newline at end of file diff --git a/data/zonetool/localizedstrings/english.json b/data/zonetool/localizedstrings/english.json index f0b9b8dc..726e5cf0 100644 --- a/data/zonetool/localizedstrings/english.json +++ b/data/zonetool/localizedstrings/english.json @@ -2,5 +2,10 @@ "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Unlock All Missions and Intel", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Cancel Unlock All Missions", "LUA_MENU_CHOOSE_LANGUAGE_DESC": "Choose your language.", - "MENU_APPLY_LANGUAGE_SETTINGS": "Apply language settings?" + "MENU_APPLY_LANGUAGE_SETTINGS": "Apply language settings?", + + "LUA_MENU_DISCORD_REQUEST": "&&1^7 requested to join your game!", + "LUA_MENU_DISCORD_REQUEST_DISCRIMINATOR": "&&1^7#&&2 requested to join your game!", + "LUA_MENU_DISCORD_ACCEPT": "[&&1] Accept", + "LUA_MENU_DISCORD_DENY": "[&&1] Deny" } \ No newline at end of file diff --git a/data/zonetool/localizedstrings/french.json b/data/zonetool/localizedstrings/french.json index f32229e3..d29a48fc 100644 --- a/data/zonetool/localizedstrings/french.json +++ b/data/zonetool/localizedstrings/french.json @@ -9,7 +9,7 @@ "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Débloquer toutes les missions", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Annuler déblocage", - "MENU_MODS": "MODS", + "MENU_MODS": "Mods", "MENU_MODS_DESC": "Charger les mods installés.", "LUA_MENU_MOD_DESC_DEFAULT": "Charger &&1.", "LUA_MENU_MOD_DESC": "&&1\nAuteur: &&2\nVersion: &&3", @@ -22,9 +22,9 @@ "MENU_NO_DONT_ASK": "Non, ne plus me le demander", "UPDATER_POPUP_NO_UPDATES_AVAILABLE": "Aucune mise à jour disponible", - "UPDATER_POPUP_AVAILABLE_UPDATE_TEXT": "Une mise à jour est disponible,\npoursuivre l'installation ?", + "MENU_CCS_NEW_PATCH_NOTICE": "Une mise à jour est disponible,\npoursuivre l'installation ?", "UPDATER_POPUP_SUCCESSFUL": "Mise à jour réussie", - "UPDATER_POPUP_RESTART_POPUP_TEXT": "La mise à jour nécessite un redémarrage", + "MENU_CCS_RESTART_CONFIRMATION_TEXT": "La mise à jour nécessite un redémarrage", "UPDATER_POPUP_CHECKING_FOR_UPDATES": "Vérification des mises à jour...", "MPHUD_FPS": "IPS: ", @@ -45,6 +45,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "Chinois simplifié", "LOCALE_SPANISH": "Espagnol", "LOCALE_TRADITIONAL_CHINESE": "Chinois traditionnel", + "MENU_QUIT_TO_DESKTOP": "Retour au bureau", "LUA_MENU_CHOOSE_LANGUAGE": "Choisissez la langue", "LUA_MENU_CHOOSE_LANGUAGE_DESC": "Choisissez la langue." diff --git a/data/zonetool/localizedstrings/german.json b/data/zonetool/localizedstrings/german.json index ab9a9770..c7d87f34 100644 --- a/data/zonetool/localizedstrings/german.json +++ b/data/zonetool/localizedstrings/german.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "Vereinfachtes Chinesisch", "LOCALE_SPANISH": "Spanisch", "LOCALE_TRADITIONAL_CHINESE": "Traditionelles Chinesisch", + "MENU_QUIT_TO_DESKTOP": "Zum Desktop", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Alle Missionen freischalten", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Freischalten abbrechen" } \ No newline at end of file diff --git a/data/zonetool/localizedstrings/italian.json b/data/zonetool/localizedstrings/italian.json index af0a304d..cd50ace6 100644 --- a/data/zonetool/localizedstrings/italian.json +++ b/data/zonetool/localizedstrings/italian.json @@ -26,5 +26,6 @@ "LOCALE_RUSSIAN": "Russo", "LOCALE_SIMPLIFIED_CHINESE": "Cinese semplificato", "LOCALE_SPANISH": "Spagnolo", - "LOCALE_TRADITIONAL_CHINESE": "Cinese tradizionale" + "LOCALE_TRADITIONAL_CHINESE": "Cinese tradizionale", + "MENU_QUIT_TO_DESKTOP": "Esci e torna al desktop" } \ No newline at end of file diff --git a/data/zonetool/localizedstrings/japanese_partial.json b/data/zonetool/localizedstrings/japanese_partial.json index e9066310..dacb82da 100644 --- a/data/zonetool/localizedstrings/japanese_partial.json +++ b/data/zonetool/localizedstrings/japanese_partial.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "簡体字中国語", "LOCALE_SPANISH": "スペイン語", "LOCALE_TRADITIONAL_CHINESE": "繁体字中国語", + "MENU_QUIT_TO_DESKTOP": "デスクトップに戻る", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "全ミッションをアンロック", "LUA_MENU_CANCEL_UNLOCK_CAPS": "アンロックをキャンセル" diff --git a/data/zonetool/localizedstrings/korean.json b/data/zonetool/localizedstrings/korean.json index 96972e89..00a32abc 100644 --- a/data/zonetool/localizedstrings/korean.json +++ b/data/zonetool/localizedstrings/korean.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "중국어(간체)", "LOCALE_SPANISH": "스페인어", "LOCALE_TRADITIONAL_CHINESE": "중국어(번체)", + "MENU_QUIT_TO_DESKTOP": "데스크탑으로 나가기", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "모든 임무 잠금 해제", "LUA_MENU_CANCEL_UNLOCK_CAPS": "잠금 해제 취소" diff --git a/data/zonetool/localizedstrings/polish.json b/data/zonetool/localizedstrings/polish.json index e8323a37..30318415 100644 --- a/data/zonetool/localizedstrings/polish.json +++ b/data/zonetool/localizedstrings/polish.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "Chiński uproszczony", "LOCALE_SPANISH": "Hiszpański", "LOCALE_TRADITIONAL_CHINESE": "Chiński tradycyjny", + "MENU_QUIT_TO_DESKTOP": "Wyjdź do pulpitu", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Odblokuj wszystkie misje", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Anuluj odblokowanie" diff --git a/data/zonetool/localizedstrings/portuguese.json b/data/zonetool/localizedstrings/portuguese.json index cfcbf86d..aed9edfb 100644 --- a/data/zonetool/localizedstrings/portuguese.json +++ b/data/zonetool/localizedstrings/portuguese.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "Chinês simplificado", "LOCALE_SPANISH": "Español", "LOCALE_TRADITIONAL_CHINESE": "Chinês tradicional", + "MENU_QUIT_TO_DESKTOP": "Sair para a área de trabalho", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Desbloquear todas as missões", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Cancelar desbloqueio" diff --git a/data/zonetool/localizedstrings/russian.json b/data/zonetool/localizedstrings/russian.json index 5ac4fe31..a49b64ba 100644 --- a/data/zonetool/localizedstrings/russian.json +++ b/data/zonetool/localizedstrings/russian.json @@ -11,7 +11,7 @@ "LUA_MENU_CHOOSE_LANGUAGE": "Выбор языка", "LUA_MENU_CHOOSE_LANGUAGE_DESC": "Поменять язык интерфейса и озвучки.", - "MENU_MODS": "МОДЫ", + "MENU_MODS": "Моды", "MENU_MODS_DESC": "Запуск установленных модов.", "LUA_MENU_MOD_DESC_DEFAULT": "Запустить &&1.", "LUA_MENU_MOD_DESC": "&&1\nАвтор: &&2\nВерсия: &&3.", @@ -24,9 +24,9 @@ "MENU_NO_DONT_ASK": "Нет, больше не спрашивать", "UPDATER_POPUP_NO_UPDATES_AVAILABLE": "У вас установлены все последние обновления", - "UPDATER_POPUP_AVAILABLE_UPDATE_TEXT": "Доступно обновление клиента игры,\nначать установку сейчас?", + "MENU_CCS_NEW_PATCH_NOTICE": "Доступно обновление клиента игры,\nначать установку сейчас?", "UPDATER_POPUP_SUCCESSFUL": "Обновление завершено", - "UPDATER_POPUP_RESTART_POPUP_TEXT": "Для применения изменений необходим перезапуск игры", + "MENU_CCS_RESTART_CONFIRMATION_TEXT": "Для применения изменений необходим перезапуск игры", "UPDATER_POPUP_CHECKING_FOR_UPDATES": "Проверка наличия обновлений...", "MPHUD_FPS": "К/С: ", @@ -48,6 +48,7 @@ "LOCALE_SPANISH": "Испанский", "LOCALE_TRADITIONAL_CHINESE": "Китайский традиционный", "LUA_MENU_DOWNLOAD": "Скачать", + "MENU_QUIT_TO_DESKTOP": "Выйти на рабочий стол", "MPUI_MP44": "MP-44", "WEAPON_AT4": "AT4", diff --git a/data/zonetool/localizedstrings/simplified_chinese.json b/data/zonetool/localizedstrings/simplified_chinese.json index 5560337e..069d21a5 100644 --- a/data/zonetool/localizedstrings/simplified_chinese.json +++ b/data/zonetool/localizedstrings/simplified_chinese.json @@ -2,7 +2,7 @@ "LUA_MENU_SERVERLIST": "服务器列表", "PLATFORM_SYSTEM_LINK_TITLE": "服务器列表", "MENU_NUMPLAYERS": "玩家", - "MENU_PING": "Ping", + "MENU_PING": "时延", "LOCALE_ENGLISH": "英语", "LOCALE_ENGLISH_SAFE": "英语 (审查制度)", "LOCALE_FRENCH": "法语", @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "简体中文", "LOCALE_SPANISH": "西班牙语", "LOCALE_TRADITIONAL_CHINESE": "繁体中文", + "MENU_QUIT_TO_DESKTOP": "退至桌面", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "解锁全部任务", "LUA_MENU_CANCEL_UNLOCK_CAPS": "取消解锁" diff --git a/data/zonetool/localizedstrings/spanish.json b/data/zonetool/localizedstrings/spanish.json index bdebeb16..d4d420be 100644 --- a/data/zonetool/localizedstrings/spanish.json +++ b/data/zonetool/localizedstrings/spanish.json @@ -16,6 +16,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "Chino simplificado", "LOCALE_SPANISH": "Español", "LOCALE_TRADITIONAL_CHINESE": "Chino tradicional", + "MENU_QUIT_TO_DESKTOP": "Salir al escritorio", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "Desbloquear todas las misiones", "LUA_MENU_CANCEL_UNLOCK_CAPS": "Cancelar desbloqueo" diff --git a/data/zonetool/localizedstrings/traditional_chinese.json b/data/zonetool/localizedstrings/traditional_chinese.json index 16f3ca3d..7c7ea96f 100644 --- a/data/zonetool/localizedstrings/traditional_chinese.json +++ b/data/zonetool/localizedstrings/traditional_chinese.json @@ -2,7 +2,7 @@ "LUA_MENU_SERVERLIST": "伺服器列表", "PLATFORM_SYSTEM_LINK_TITLE": "伺服器列表", "MENU_NUMPLAYERS": "玩家", - "MENU_PING": "網路延遲", + "MENU_PING": "延遲", "MENU_TYPE1": "類型", "LOCALE_ENGLISH": "英文", "LOCALE_ENGLISH_SAFE": "英文 (審查制度)", @@ -17,6 +17,7 @@ "LOCALE_SIMPLIFIED_CHINESE": "簡體中文", "LOCALE_SPANISH": "西班牙文", "LOCALE_TRADITIONAL_CHINESE": "繁體中文", + "MENU_QUIT_TO_DESKTOP": "返回桌面", "LUA_MENU_CAMPAIGN_UNLOCKED_ALL_TITLE": "解鎖所有任務", "LUA_MENU_CANCEL_UNLOCK_CAPS": "取消解鎖" diff --git a/data/zonetool/rus_h1_mod_common_mp/localizedstrings/russian.json b/data/zonetool/rus_h1_mod_common_mp/localizedstrings/russian.json index b568d035..d2973591 100644 --- a/data/zonetool/rus_h1_mod_common_mp/localizedstrings/russian.json +++ b/data/zonetool/rus_h1_mod_common_mp/localizedstrings/russian.json @@ -117,6 +117,7 @@ "EXE_SV_INFO_FRIENDLY_FIRE": "Огонь по своим", "EXE_SV_INFO_GAMETYPE": "Режим игры", "EXE_SV_INFO_KILLCAM": "Повтор", + "EXE_SV_INFO_MOD": "Мод", "EXE_SV_INFO_NAME": "имя", "EXE_SV_INFO_PASSWORD": "С паролем", "EXE_SV_INFO_PING": "пинг", diff --git a/deps/GSL b/deps/GSL index 6c6111ac..e64c97fc 160000 --- a/deps/GSL +++ b/deps/GSL @@ -1 +1 @@ -Subproject commit 6c6111acb7b5d687ac006969ac96e5b1f21374cd +Subproject commit e64c97fc2cfc11992098bb38eda932de275e3f4d diff --git a/deps/asmjit b/deps/asmjit index 5b5b0b38..7c10a14d 160000 --- a/deps/asmjit +++ b/deps/asmjit @@ -1 +1 @@ -Subproject commit 5b5b0b38775938df4d3779604ff1db60b9a9dcbf +Subproject commit 7c10a14d347879f889c6d11a9398f1d453acc690 diff --git a/deps/curl b/deps/curl index 4ab601d9..102de7aa 160000 --- a/deps/curl +++ b/deps/curl @@ -1 +1 @@ -Subproject commit 4ab601d93a07cee665ec2458a51fccd0767c03f1 +Subproject commit 102de7aa8d5bfc6ed5fe85e89c7b943d0c186f03 diff --git a/deps/discord-rpc b/deps/discord-rpc index 963aa9f3..b3383798 160000 --- a/deps/discord-rpc +++ b/deps/discord-rpc @@ -1 +1 @@ -Subproject commit 963aa9f3e5ce81a4682c6ca3d136cddda614db33 +Subproject commit b3383798b353c31ea6770fee673740c27f6e3489 diff --git a/deps/extra/gsc-tool/interface.cpp b/deps/extra/gsc-tool/interface.cpp deleted file mode 100644 index 28b7ad73..00000000 --- a/deps/extra/gsc-tool/interface.cpp +++ /dev/null @@ -1,30 +0,0 @@ -#include "stdafx.hpp" - -#include - -#include "interface.hpp" - -namespace gsc -{ - std::unique_ptr compiler() - { - auto compiler = std::make_unique(); - compiler->mode(xsk::gsc::build::prod); - return compiler; - } - - std::unique_ptr decompiler() - { - return std::make_unique(); - } - - std::unique_ptr assembler() - { - return std::make_unique(); - } - - std::unique_ptr disassembler() - { - return std::make_unique(); - } -} diff --git a/deps/extra/gsc-tool/interface.hpp b/deps/extra/gsc-tool/interface.hpp deleted file mode 100644 index 133e6ae2..00000000 --- a/deps/extra/gsc-tool/interface.hpp +++ /dev/null @@ -1,9 +0,0 @@ -#pragma once - -namespace gsc -{ - std::unique_ptr compiler(); - std::unique_ptr decompiler(); - std::unique_ptr assembler(); - std::unique_ptr disassembler(); -} diff --git a/deps/gsc-tool b/deps/gsc-tool index 7d374025..cbfcce1d 160000 --- a/deps/gsc-tool +++ b/deps/gsc-tool @@ -1 +1 @@ -Subproject commit 7d374025b7675bada64c247ebe9378dd335a33da +Subproject commit cbfcce1dd67534c2115331e41d4cb6893e96196c diff --git a/deps/json b/deps/json index 4c6cde72..a259ecc5 160000 --- a/deps/json +++ b/deps/json @@ -1 +1 @@ -Subproject commit 4c6cde72e533158e044252718c013a48bcff346c +Subproject commit a259ecc51e1951e12f757ce17db958e9881e9c6c diff --git a/deps/libtomcrypt b/deps/libtomcrypt index 29986d04..7e863d21 160000 --- a/deps/libtomcrypt +++ b/deps/libtomcrypt @@ -1 +1 @@ -Subproject commit 29986d04f2dca985ee64fbca1c7431ea3e3422f4 +Subproject commit 7e863d21429f94ed6a720e24499a12a3f852bb31 diff --git a/deps/libtommath b/deps/libtommath index 03de03de..8314bde5 160000 --- a/deps/libtommath +++ b/deps/libtommath @@ -1 +1 @@ -Subproject commit 03de03dee753442d4b23166982514639c4ccbc39 +Subproject commit 8314bde5e5c8e5d9331460130a9d1066e324f091 diff --git a/deps/lua b/deps/lua index be908a7d..7923dbbf 160000 --- a/deps/lua +++ b/deps/lua @@ -1 +1 @@ -Subproject commit be908a7d4d8130264ad67c5789169769f824c5d1 +Subproject commit 7923dbbf72da303ca1cca17efd24725668992f15 diff --git a/deps/minhook b/deps/minhook index 49d03ad1..f5485b84 160000 --- a/deps/minhook +++ b/deps/minhook @@ -1 +1 @@ -Subproject commit 49d03ad118cf7f6768c79a8f187e14b8f2a07f94 +Subproject commit f5485b8454544c2f034c78f8f127c1d03dea3636 diff --git a/deps/premake/gsc-tool.lua b/deps/premake/gsc-tool.lua index 08da07de..87cc40c5 100644 --- a/deps/premake/gsc-tool.lua +++ b/deps/premake/gsc-tool.lua @@ -1,5 +1,5 @@ gsc_tool = { - source = path.join(dependencies.basePath, "gsc-tool/src") + source = path.join(dependencies.basePath, "gsc-tool") } function gsc_tool.import() @@ -9,60 +9,54 @@ end function gsc_tool.includes() includedirs { - path.join(gsc_tool.source, "utils"), - path.join(gsc_tool.source, "h1"), - path.join(dependencies.basePath, "extra/gsc-tool") -- https://github.com/GEEKiDoS/open-teknomw3/blob/master/deps/extra/gsc-tool + path.join(gsc_tool.source, "include") } end --- https://github.com/xensik/gsc-tool/blob/dev/premake5.lua#L95 function gsc_tool.project() project "xsk-gsc-utils" - kind "StaticLib" - language "C++" + kind "StaticLib" + language "C++" + warnings "Off" - pchheader "stdafx.hpp" - pchsource(path.join(gsc_tool.source, "utils/stdafx.cpp")) + files { + path.join(gsc_tool.source, "include/xsk/utils/*.hpp"), + path.join(gsc_tool.source, "src/utils/*.cpp") + } - files { - path.join(gsc_tool.source, "utils/**.h"), - path.join(gsc_tool.source, "utils/**.hpp"), - path.join(gsc_tool.source, "utils/**.cpp") - } + includedirs { + path.join(gsc_tool.source, "include") + } - includedirs { - path.join(gsc_tool.source, "utils"), - gsc_tool.source - } - - zlib.includes() + zlib.includes() project "xsk-gsc-h1" - kind "StaticLib" - language "C++" + kind "StaticLib" + language "C++" + warnings "Off" - pchheader "stdafx.hpp" - pchsource(path.join(gsc_tool.source, "h1/stdafx.cpp")) - - files { - path.join(gsc_tool.source, "h1/**.h"), - path.join(gsc_tool.source, "h1/**.hpp"), - path.join(gsc_tool.source, "h1/**.cpp"), - path.join(dependencies.basePath, "extra/gsc-tool/interface.cpp") - } - - includedirs { - path.join(gsc_tool.source, "h1"), - gsc_tool.source, - path.join(dependencies.basePath, "extra/gsc-tool") - } - - -- https://github.com/xensik/gsc-tool/blob/dev/premake5.lua#L25 - -- adding these build options fixes a bunch of parser stuff filter "action:vs*" - buildoptions "/bigobj" buildoptions "/Zc:__cplusplus" filter {} + + files { + path.join(gsc_tool.source, "include/xsk/stdinc.hpp"), + + path.join(gsc_tool.source, "include/xsk/gsc/engine/h1.hpp"), + path.join(gsc_tool.source, "src/gsc/engine/h1.cpp"), + + path.join(gsc_tool.source, "src/gsc/engine/h1_code.cpp"), + path.join(gsc_tool.source, "src/gsc/engine/h1_func.cpp"), + path.join(gsc_tool.source, "src/gsc/engine/h1_meth.cpp"), + path.join(gsc_tool.source, "src/gsc/engine/h1_token.cpp"), path.join(gsc_tool.source, "src/gsc/*.cpp"), + + path.join(gsc_tool.source, "src/gsc/common/*.cpp"), + path.join(gsc_tool.source, "include/xsk/gsc/common/*.hpp") + } + + includedirs { + path.join(gsc_tool.source, "include") + } end table.insert(dependencies, gsc_tool) diff --git a/deps/protobuf b/deps/protobuf index 7ce9c415..5a3dac89 160000 --- a/deps/protobuf +++ b/deps/protobuf @@ -1 +1 @@ -Subproject commit 7ce9c415455c098409222702b3b4572b47232882 +Subproject commit 5a3dac894157bf3618b2c906a8b9073b4cad62b6 diff --git a/deps/rapidjson b/deps/rapidjson index a98e9999..6089180e 160000 --- a/deps/rapidjson +++ b/deps/rapidjson @@ -1 +1 @@ -Subproject commit a98e99992bd633a2736cc41f96ec85ef0c50e44d +Subproject commit 6089180ecb704cb2b136777798fa1be303618975 diff --git a/deps/sol2 b/deps/sol2 index f81643aa..9c882a28 160000 --- a/deps/sol2 +++ b/deps/sol2 @@ -1 +1 @@ -Subproject commit f81643aa0c0c507c0cd8400b8cfedc74a34a19f6 +Subproject commit 9c882a28fdb6f4ad79a53a4191b43ce48a661175 diff --git a/deps/stb b/deps/stb index 8b5f1f37..f4a71b13 160000 --- a/deps/stb +++ b/deps/stb @@ -1 +1 @@ -Subproject commit 8b5f1f37b5b75829fc72d38e7b5d4bcbf8a26d55 +Subproject commit f4a71b13373436a2866c5d68f8f80ac6f0bc1ffe diff --git a/deps/zlib b/deps/zlib index e5546956..643e17b7 160000 --- a/deps/zlib +++ b/deps/zlib @@ -1 +1 @@ -Subproject commit e554695638228b846d49657f31eeff0ca4680e8a +Subproject commit 643e17b7498d12ab8d15565662880579692f769d diff --git a/src/client/component/branding.cpp b/src/client/component/branding.cpp index 342b8b0f..8e6b6512 100644 --- a/src/client/component/branding.cpp +++ b/src/client/component/branding.cpp @@ -31,20 +31,30 @@ namespace branding void draw_branding() { const auto font = game::R_RegisterFont("fonts/fira_mono_bold.ttf", 22); - if (font) + if (!font) { -#ifdef DEBUG - game::R_AddCmdDrawText("h1-mod: " VERSION " (" __DATE__ " " __TIME__ ")", - 0x7FFFFFFF, font, 10.f, - 5.f + static_cast(font->pixelHeight), - 1.f, 1.f, 0.0f, color, 0); -#else - game::R_AddCmdDrawText("h1-mod", - 0x7FFFFFFF, font, 10.f, - 5.f + static_cast(font->pixelHeight), - 1.f, 1.f, 0.0f, color, 0); -#endif + return; } + +#ifdef DEBUG + const auto text = "h1-mod: " VERSION " (" __DATE__ " " __TIME__ ")"; +#else + const auto text = "h1-mod: " VERSION; +#endif + + const auto placement = game::ScrPlace_GetViewPlacement(); + float text_color[4] = {0.6f, 0.6f, 0.6f, 0.6f}; + + game::rectDef_s rect{}; + rect.x = 0; + rect.y = 0; + rect.w = 500; + rect.horzAlign = 0; + rect.vertAlign = 0; + + game::rectDef_s text_rect{}; + + game::UI_DrawWrappedText(placement, text, &rect, font, -102.5f, 10.f, 0.17f, text_color, 0, 0, &text_rect, 0); } } diff --git a/src/client/component/command.cpp b/src/client/component/command.cpp index 58c0918d..b3b576c0 100644 --- a/src/client/component/command.cpp +++ b/src/client/component/command.cpp @@ -4,11 +4,12 @@ #include "command.hpp" #include "console.hpp" #include "dvars.hpp" -#include "game_console.hpp" #include "fastfiles.hpp" #include "filesystem.hpp" -#include "scheduler.hpp" +#include "game_console.hpp" #include "logfile.hpp" +#include "mods.hpp" +#include "scheduler.hpp" #include "game/game.hpp" #include "game/dvars.hpp" @@ -28,8 +29,6 @@ namespace command std::unordered_map> handlers; std::unordered_map> handlers_sv; - std::optional saved_fs_game; - void main_handler() { params params = {}; @@ -557,43 +556,11 @@ namespace command } } - void register_fs_game_path() - { - const auto* fs_game = game::Dvar_FindVar("fs_game"); - const auto new_mod_path = fs_game->current.string; - - // check if the last saved fs_game value isn't empty and if it doesn't equal the new fs_game - if (saved_fs_game.has_value() && saved_fs_game != new_mod_path) - { - // unregister path to be used as a fs directory - filesystem::unregister_path(saved_fs_game.value()); - } - - if (new_mod_path && !new_mod_path[0]) - { - return; - } - - // register fs_game value as a fs directory used for many things - filesystem::register_path(new_mod_path); - saved_fs_game = new_mod_path; - } - class component final : public component_interface { public: void post_unpack() override { - // it might be overdone to change the filesystem path on every new value change, but to be fair, - // for the mods that don't need full restarts, this is good because it'll adjust and work like so - // in my opinion, this is fine. if a user tries to modify the dvar themselves, they'll have problems - // but i seriously doubt it'll be bad. - dvars::callback::on_new_value("fs_game", []() - { - console::warn("fs_game value changed, filesystem paths will be adjusted to new dvar value."); - register_fs_game_path(); - }); - if (game::environment::is_sp()) { add_commands_sp(); @@ -702,7 +669,6 @@ namespace command const auto name = params.get(1); const auto dvar = game::Dvar_FindVar(name); - if (dvar == nullptr) { console::info("%s doesn't exist\n", name); diff --git a/src/client/component/command.hpp b/src/client/component/command.hpp index a891b802..06228c9d 100644 --- a/src/client/component/command.hpp +++ b/src/client/component/command.hpp @@ -49,6 +49,4 @@ namespace command void add_sv(const char* name, std::function callback); void execute(std::string command, bool sync = false); - - void register_fs_game_path(); } \ No newline at end of file diff --git a/src/client/component/dedicated_info.cpp b/src/client/component/dedicated_info.cpp index 8164345b..d8fbb1d6 100644 --- a/src/client/component/dedicated_info.cpp +++ b/src/client/component/dedicated_info.cpp @@ -21,7 +21,7 @@ namespace dedicated_info scheduler::loop([] { - auto* sv_running = game::Dvar_FindVar("sv_running"); + const auto sv_running = game::Dvar_FindVar("sv_running"); if (!sv_running || !sv_running->current.enabled || (*game::mp::svs_clients) == nullptr) { SetConsoleTitle("H1-Mod Dedicated Server"); diff --git a/src/client/component/discord.cpp b/src/client/component/discord.cpp index 7677662f..689d0006 100644 --- a/src/client/component/discord.cpp +++ b/src/client/component/discord.cpp @@ -5,7 +5,6 @@ #include "command.hpp" #include "discord.hpp" #include "materials.hpp" -#include "network.hpp" #include "party.hpp" #include "scheduler.hpp" @@ -28,119 +27,181 @@ namespace discord { namespace { - DiscordRichPresence discord_presence; - - void update_discord() + struct discord_presence_state_t { - if (!game::CL_IsCgameInitialized() || game::VirtualLobby_Loaded()) + int start_timestamp; + int party_size; + int party_max; + }; + + struct discord_presence_strings_t + { + std::string state; + std::string details; + std::string small_image_key; + std::string small_image_text; + std::string large_image_key; + std::string large_image_text; + std::string party_id; + std::string join_secret; + }; + + DiscordRichPresence discord_presence{}; + discord_presence_strings_t discord_strings; + + std::mutex avatar_map_mutex; + std::unordered_map avatar_material_map; + game::Material* default_avatar_material{}; + + void update_discord_frontend() + { + discord_presence.details = SELECT_VALUE("Singleplayer", "Multiplayer"); + discord_presence.startTimestamp = 0; + + static const auto in_firing_range = game::Dvar_FindVar("virtualLobbyInFiringRange"); + if (in_firing_range != nullptr && in_firing_range->current.enabled == 1) { - discord_presence.details = SELECT_VALUE("Singleplayer", "Multiplayer"); - discord_presence.state = "Main Menu"; - - const auto in_firing_range = game::Dvar_FindVar("virtualLobbyInFiringRange"); - if (in_firing_range && in_firing_range->current.enabled == 1) - { - discord_presence.state = "Firing Range"; - } - - discord_presence.partySize = 0; - discord_presence.partyMax = 0; - discord_presence.startTimestamp = 0; - discord_presence.largeImageKey = SELECT_VALUE("menu_singleplayer", "menu_multiplayer"); - - // set to blank when in lobby - discord_presence.matchSecret = ""; - discord_presence.joinSecret = ""; - discord_presence.partyId = ""; + discord_presence.state = "Firing Range"; + discord_presence.largeImageKey = "mp_vlobby_room"; } else { - static char details[0x80] = {0}; - const auto map = game::Dvar_FindVar("mapname")->current.string; - const auto key = utils::string::va("PRESENCE_%s%s", SELECT_VALUE("SP_", ""), map); - const char* mapname = map; - - if (game::DB_XAssetExists(game::ASSET_TYPE_LOCALIZE, key) && !game::DB_IsXAssetDefault(game::ASSET_TYPE_LOCALIZE, key)) - { - mapname = game::UI_SafeTranslateString(key); - } - - if (game::environment::is_mp()) - { - static char clean_gametype[0x80] = {0}; - const auto gametype = game::UI_GetGameTypeDisplayName( - game::Dvar_FindVar("g_gametype")->current.string); - utils::string::strip(gametype, - clean_gametype, sizeof(clean_gametype)); - strcpy_s(details, 0x80, utils::string::va("%s on %s", clean_gametype, mapname)); - - static char clean_hostname[0x80] = {0}; - utils::string::strip(game::Dvar_FindVar("sv_hostname")->current.string, - clean_hostname, sizeof(clean_hostname)); - auto max_clients = party::server_client_count(); - - if (game::SV_Loaded()) - { - strcpy_s(clean_hostname, "Private Match"); - max_clients = game::Dvar_FindVar("sv_maxclients")->current.integer; - discord_presence.partyPrivacy = DISCORD_PARTY_PRIVATE; - } - else - { - const auto server_net_info = party::get_state_host(); - const auto server_ip_port = utils::string::va("%i.%i.%i.%i:%i", - static_cast(server_net_info.ip[0]), - static_cast(server_net_info.ip[1]), - static_cast(server_net_info.ip[2]), - static_cast(server_net_info.ip[3]), - static_cast(ntohs(server_net_info.port)) - ); - - static char join_secret[0x80] = {0}; - strcpy_s(join_secret, 0x80, server_ip_port); - - static char party_id[0x80] = {0}; - const auto server_ip_port_hash = utils::cryptography::sha1::compute(server_ip_port, true).substr(0, 8); - strcpy_s(party_id, 0x80, server_ip_port_hash.data()); - - discord_presence.partyId = party_id; - discord_presence.joinSecret = join_secret; - discord_presence.partyPrivacy = DISCORD_PARTY_PUBLIC; - } - - const auto client_state = *game::mp::client_state; - if (client_state != nullptr) - { - discord_presence.partySize = client_state->num_players; - } - else - { - discord_presence.partySize = 0; - } - - discord_presence.partyMax = max_clients; - discord_presence.state = clean_hostname; - discord_presence.largeImageKey = map; - } - else if (game::environment::is_sp()) - { - discord_presence.state = ""; - discord_presence.largeImageKey = map; - strcpy_s(details, 0x80, mapname); - } - - discord_presence.details = details; - - if (!discord_presence.startTimestamp) - { - discord_presence.startTimestamp = std::chrono::duration_cast( - std::chrono::system_clock::now().time_since_epoch()).count(); - } + discord_presence.state = "Main Menu"; + discord_presence.largeImageKey = SELECT_VALUE("menu_singleplayer", "menu_multiplayer"); } Discord_UpdatePresence(&discord_presence); } + void update_discord_ingame() + { + static const auto mapname_dvar = game::Dvar_FindVar("mapname"); + auto mapname = mapname_dvar->current.string; + + discord_strings.large_image_key = mapname; + + const auto presence_key = utils::string::va("PRESENCE_%s%s", SELECT_VALUE("SP_", ""), mapname); + if (game::DB_XAssetExists(game::ASSET_TYPE_LOCALIZE, presence_key) && + !game::DB_IsXAssetDefault(game::ASSET_TYPE_LOCALIZE, presence_key)) + { + mapname = game::UI_SafeTranslateString(presence_key); + } + + if (game::environment::is_mp()) + { + static const auto gametype_dvar = game::Dvar_FindVar("g_gametype"); + static const auto max_clients_dvar = game::Dvar_FindVar("sv_maxclients"); + static const auto hostname_dvar = game::Dvar_FindVar("sv_hostname"); + + const auto gametype_display_name = game::UI_GetGameTypeDisplayName(gametype_dvar->current.string); + const auto gametype = utils::string::strip(gametype_display_name); + + discord_strings.details = std::format("{} on {}", gametype, mapname); + + const auto client_state = *game::mp::client_state; + if (client_state != nullptr) + { + discord_presence.partySize = client_state->num_players; + } + + if (game::SV_Loaded()) + { + discord_strings.state = "Private Match"; + discord_presence.partyMax = max_clients_dvar->current.integer; + discord_presence.partyPrivacy = DISCORD_PARTY_PRIVATE; + } + else + { + discord_strings.state = utils::string::strip(hostname_dvar->current.string); + + const auto server_connection_state = party::get_server_connection_state(); + const auto server_ip_port = std::format("{}.{}.{}.{}:{}", + static_cast(server_connection_state.host.ip[0]), + static_cast(server_connection_state.host.ip[1]), + static_cast(server_connection_state.host.ip[2]), + static_cast(server_connection_state.host.ip[3]), + static_cast(ntohs(server_connection_state.host.port)) + ); + + discord_strings.party_id = utils::cryptography::sha1::compute(server_ip_port, true).substr(0, 8); + discord_presence.partyMax = server_connection_state.max_clients; + discord_presence.partyPrivacy = DISCORD_PARTY_PUBLIC; + discord_strings.join_secret = server_ip_port; + } + + auto server_discord_info = party::get_server_discord_info(); + if (server_discord_info.has_value()) + { + discord_strings.small_image_key = server_discord_info->image; + discord_strings.small_image_text = server_discord_info->image_text; + } + } + else if (game::environment::is_sp()) + { + discord_strings.details = mapname; + } + + if (discord_presence.startTimestamp == 0) + { + discord_presence.startTimestamp = std::chrono::duration_cast( + std::chrono::system_clock::now().time_since_epoch()).count(); + } + + discord_presence.state = discord_strings.state.data(); + discord_presence.details = discord_strings.details.data(); + discord_presence.smallImageKey = discord_strings.small_image_key.data(); + discord_presence.smallImageText = discord_strings.small_image_text.data(); + discord_presence.largeImageKey = discord_strings.large_image_key.data(); + discord_presence.largeImageText = discord_strings.large_image_text.data(); + discord_presence.partyId = discord_strings.party_id.data(); + discord_presence.joinSecret = discord_strings.join_secret.data(); + + Discord_UpdatePresence(&discord_presence); + } + + void update_discord() + { + const auto saved_time = discord_presence.startTimestamp; + discord_presence = {}; + discord_presence.startTimestamp = saved_time; + + if (!game::CL_IsCgameInitialized() || game::VirtualLobby_Loaded()) + { + update_discord_frontend(); + } + else + { + update_discord_ingame(); + } + } + + game::Material* create_avatar_material(const std::string& name, const std::string& data) + { + const auto material = materials::create_material(name); + try + { + if (!materials::setup_material_image(material, data)) + { + materials::free_material(material); + return nullptr; + } + + { + std::lock_guard _0(avatar_map_mutex); + avatar_material_map.insert(std::make_pair(name, material)); + } + + return material; + } + catch (const std::exception& e) + { + materials::free_material(material); + console::error("Failed to load user avatar image: %s\n", e.what()); + } + + return nullptr; + } + void download_user_avatar(const std::string& id, const std::string& avatar) { const auto data = utils::http::get_data( @@ -156,10 +217,10 @@ namespace discord return; } - materials::add(utils::string::va(AVATAR, id.data()), value.buffer); + const auto name = utils::string::va(AVATAR, id.data()); + create_avatar_material(name, value.buffer); } - bool has_default_avatar = false; void download_default_avatar() { const auto data = utils::http::get_data(DEFAULT_AVATAR_URL); @@ -174,25 +235,146 @@ namespace discord return; } - has_default_avatar = true; - materials::add(DEFAULT_AVATAR, value.buffer); + default_avatar_material = create_avatar_material(DEFAULT_AVATAR, value.buffer); + } + + void ready(const DiscordUser* request) + { + DiscordRichPresence presence{}; + presence.instance = 1; + presence.state = ""; + console::info("Discord: Ready on %s (%s)\n", request->username, request->userId); + Discord_UpdatePresence(&presence); + } + + void errored(const int error_code, const char* message) + { + console::error("Discord: %s (%i)\n", message, error_code); + } + + void join_game(const char* join_secret) + { + console::debug("Discord: join_game called with secret '%s'\n", join_secret); + + scheduler::once([=] + { + game::netadr_s target{}; + if (game::NET_StringToAdr(join_secret, &target)) + { + console::info("Discord: Connecting to server '%s'\n", join_secret); + party::connect(target); + } + }, scheduler::pipeline::main); + } + + std::string get_display_name(const DiscordUser* user) + { + if (user->discriminator != nullptr && user->discriminator != "0"s) + { + return std::format("{}#{}", user->username, user->discriminator); + } + else if (user->globalName[0] != 0) + { + return user->globalName; + } + else + { + return user->username; + } + } + + void join_request(const DiscordUser* request) + { + console::debug("Discord: Join request from %s (%s)\n", request->username, request->userId); + + if (game::Com_InFrontend() || !ui_scripting::lui_running()) + { + Discord_Respond(request->userId, DISCORD_REPLY_IGNORE); + return; + } + + static std::unordered_map last_requests; + + const std::string user_id = request->userId; + const std::string avatar = request->avatar; + const std::string discriminator = request->discriminator; + const std::string username = request->username; + const auto display_name = get_display_name(request); + + const auto now = std::chrono::high_resolution_clock::now(); + auto iter = last_requests.find(user_id); + if (iter != last_requests.end()) + { + if ((now - iter->second) < 15s) + { + return; + } + else + { + iter->second = now; + } + } + else + { + last_requests.insert(std::make_pair(user_id, now)); + } + + scheduler::once([=] + { + const ui_scripting::table request_table{}; + request_table.set("avatar", avatar); + request_table.set("discriminator", discriminator); + request_table.set("userid", user_id); + request_table.set("username", username); + request_table.set("displayname", display_name); + + ui_scripting::notify("discord_join_request", + { + {"request", request_table} + }); + }, scheduler::pipeline::lui); + + const auto material_name = utils::string::va(AVATAR, user_id.data()); + if (!avatar.empty() && !avatar_material_map.contains(material_name)) + { + download_user_avatar(user_id, avatar); + } + } + + void set_default_bindings() + { + const auto set_binding = [](const std::string& command, const game::keyNum_t key) + { + const auto binding = game::Key_GetBindingForCmd(command.data()); + for (auto i = 0; i < 256; i++) + { + if (game::playerKeys[0].keys[i].binding == binding) + { + return; + } + } + + if (game::playerKeys[0].keys[key].binding == 0) + { + game::Key_SetBinding(0, key, binding); + } + }; + + set_binding("discord_accept", game::K_F1); + set_binding("discord_deny", game::K_F2); } } - std::string get_avatar_material(const std::string& id) + game::Material* get_avatar_material(const std::string& id) { - const auto avatar_name = utils::string::va(AVATAR, id.data()); - if (materials::exists(avatar_name)) + const auto material_name = utils::string::va(AVATAR, id.data()); + const auto iter = avatar_material_map.find(material_name); + if (iter == avatar_material_map.end()) { - return avatar_name; + return default_avatar_material; } - if (has_default_avatar) - { - return DEFAULT_AVATAR; - } - - return "black"; + return iter->second; } void respond(const std::string& id, int reply) @@ -206,15 +388,14 @@ namespace discord class component final : public component_interface { public: - void post_load() override + void post_unpack() override { if (game::environment::is_dedi()) { return; } - DiscordEventHandlers handlers; - ZeroMemory(&handlers, sizeof(handlers)); + DiscordEventHandlers handlers{}; handlers.ready = ready; handlers.errored = errored; handlers.disconnected = errored; @@ -233,16 +414,29 @@ namespace discord Discord_Initialize("947125042930667530", &handlers, 1, nullptr); - scheduler::once(download_default_avatar, scheduler::pipeline::async); - - scheduler::once([] + if (game::environment::is_mp()) { - scheduler::once(update_discord, scheduler::pipeline::async); - scheduler::loop(update_discord, scheduler::pipeline::async, 5s); - scheduler::loop(Discord_RunCallbacks, scheduler::pipeline::async, 1s); - }, scheduler::pipeline::main); + scheduler::on_game_initialized([] + { + scheduler::once(download_default_avatar, scheduler::async); + set_default_bindings(); + }, scheduler::main); + } + + scheduler::loop(Discord_RunCallbacks, scheduler::async, 500ms); + scheduler::loop(update_discord, scheduler::async, 5s); initialized_ = true; + + command::add("discord_accept", []() + { + ui_scripting::notify("discord_response", {{"accept", true}}); + }); + + command::add("discord_deny", []() + { + ui_scripting::notify("discord_response", {{"accept", false}}); + }); } void pre_destroy() override @@ -257,67 +451,6 @@ namespace discord private: bool initialized_ = false; - - static void ready(const DiscordUser* request) - { - ZeroMemory(&discord_presence, sizeof(discord_presence)); - discord_presence.instance = 1; - console::info("Discord: Ready on %s (%s)\n", request->username, request->userId); - Discord_UpdatePresence(&discord_presence); - } - - static void errored(const int error_code, const char* message) - { - console::error("Discord: Error (%i): %s\n", error_code, message); - } - - static void join_game(const char* join_secret) - { - scheduler::once([=] - { - game::netadr_s target{}; - if (game::NET_StringToAdr(join_secret, &target)) - { - console::info("Discord: Connecting to server: %s\n", join_secret); - party::connect(target); - } - }, scheduler::pipeline::main); - } - - static void join_request(const DiscordUser* request) - { - console::info("Discord: Join request from %s (%s)\n", request->username, request->userId); - - if (game::Com_InFrontend() || !ui_scripting::lui_running()) - { - Discord_Respond(request->userId, DISCORD_REPLY_IGNORE); - return; - } - - std::string user_id = request->userId; - std::string avatar = request->avatar; - std::string discriminator = request->discriminator; - std::string username = request->username; - - scheduler::once([=] - { - const ui_scripting::table request_table{}; - request_table.set("avatar", avatar); - request_table.set("discriminator", discriminator); - request_table.set("userid", user_id); - request_table.set("username", username); - - ui_scripting::notify("discord_join_request", - { - {"request", request_table} - }); - }, scheduler::pipeline::lui); - - if (!materials::exists(utils::string::va(AVATAR, user_id.data()))) - { - download_user_avatar(user_id, avatar); - } - } }; } diff --git a/src/client/component/discord.hpp b/src/client/component/discord.hpp index 5399f952..54c75ca9 100644 --- a/src/client/component/discord.hpp +++ b/src/client/component/discord.hpp @@ -1,7 +1,9 @@ #pragma once +#include "game/game.hpp" + namespace discord { - std::string get_avatar_material(const std::string& id); + game::Material* get_avatar_material(const std::string& id); void respond(const std::string& id, int reply); } diff --git a/src/client/component/download.cpp b/src/client/component/download.cpp index 9d4ce938..18e152ee 100644 --- a/src/client/component/download.cpp +++ b/src/client/component/download.cpp @@ -8,6 +8,8 @@ #include "game/ui_scripting/execution.hpp" +#include "utils/hash.hpp" + #include #include #include @@ -23,10 +25,16 @@ namespace download bool active{}; }; + std::atomic_bool kill_downloads = false; utils::concurrency::container globals; bool download_aborted() { + if (kill_downloads) + { + return true; + } + return globals.access([](globals_t& globals_) { return globals_.abort; @@ -159,10 +167,10 @@ namespace download const auto url = utils::string::va("%s/%s", base.data(), file.name.data()); console::debug("Downloading %s from %s: %s\n", file.name.data(), base.data(), url); - const auto data = utils::http::get_data(url, {}, {}, &progress_callback); + auto data = utils::http::get_data(url, {}, {}, &progress_callback); if (!data.has_value()) { - menu_error("Download failed: An unknown error occurred, please try again."); + menu_error(utils::string::va("Download failed: An unknown error occurred when getting data from '%s', please try again.", url)); return; } @@ -171,9 +179,16 @@ namespace download return; } - const auto& result = data.value(); + auto& result = data.value(); if (result.code != CURLE_OK) { + if (result.code == CURLE_COULDNT_CONNECT) + { + menu_error(utils::string::va("Download failed: Couldn't connect to server '%s' (%i)\n", + url, result.code)); + return; + } + menu_error(utils::string::va("Download failed: %s (%i)\n", curl_easy_strerror(result.code), result.code)); return; @@ -181,15 +196,15 @@ namespace download if (result.response_code >= 400) { - menu_error(utils::string::va("Download failed: Server returned bad response code %i\n", + menu_error(utils::string::va("Download failed: Server returned bad response code (%i)\n", result.response_code)); return; } - const auto hash = utils::cryptography::sha1::compute(result.buffer, true); + const auto hash = utils::hash::get_buffer_hash(result.buffer, file.name); if (hash != file.hash) { - menu_error(utils::string::va("Download failed: file hash doesn't match the server's (%s: %s != %s)\n", + menu_error(utils::string::va("Download failed: File hash doesn't match the server's (%s: %s != %s)\n", file.name.data(), hash.data(), file.hash.data())); return; } @@ -225,7 +240,18 @@ namespace download scheduler::once([] { ui_scripting::notify("mod_download_done", {}); - party::menu_error("Download for server mod has been cancelled."); + party::menu_error("Download failed: Aborted"); }, scheduler::pipeline::lui); } + + class component final : public component_interface + { + public: + void pre_destroy() override + { + kill_downloads = true; + } + }; } + +REGISTER_COMPONENT(download::component) diff --git a/src/client/component/dvars.cpp b/src/client/component/dvars.cpp index 3fec1fd4..d6cfc5aa 100644 --- a/src/client/component/dvars.cpp +++ b/src/client/component/dvars.cpp @@ -2,8 +2,10 @@ #include "loader/component_loader.hpp" #include "dvars.hpp" +#include "console.hpp" #include "game/game.hpp" +#include "game/dvars.hpp" #include @@ -255,13 +257,13 @@ namespace dvars namespace callback { - static std::unordered_map> new_value_callbacks; + static std::unordered_map> dvar_new_value_callbacks; static std::unordered_map> dvar_on_register_function_map; - void on_new_value(const std::string& name, const std::function callback) + void on_new_value(const std::string& name, const std::function callback) { - new_value_callbacks[game::generateHashValue(name.data())] = callback; + dvar_new_value_callbacks[game::generateHashValue(name.data())] = callback; } void on_register(const std::string& name, const std::function& callback) @@ -532,15 +534,34 @@ namespace dvars { dvar_set_variant_hook.invoke(dvar, value, source); - if (callback::new_value_callbacks.find(dvar->hash) != callback::new_value_callbacks.end()) + if (callback::dvar_new_value_callbacks.contains(dvar->hash)) { - callback::new_value_callbacks[dvar->hash](); + callback::dvar_new_value_callbacks[dvar->hash](value); } } class component final : public component_interface { public: + void post_start() override + { + try + { + const auto list_json = utils::nt::load_resource(DVAR_LIST); + const auto list = nlohmann::json::parse(list_json); + for (const auto& [_0, dvar_info] : list.items()) + { + const auto name = dvar_info[0].get(); + const auto description = dvar_info[1].get(); + dvars::insert_dvar_info(name, description); + } + } + catch (const std::exception& e) + { + console::error("Failed to parse dvar list: %s\n", e.what()); + } + } + void post_unpack() override { dvar_register_bool_hook.create(SELECT_VALUE(0x419220_b, 0x182340_b), &dvar_register_bool); diff --git a/src/client/component/dvars.hpp b/src/client/component/dvars.hpp index 3c9831c8..707f229a 100644 --- a/src/client/component/dvars.hpp +++ b/src/client/component/dvars.hpp @@ -1,5 +1,7 @@ #pragma once +#include "game/game.hpp" + namespace dvars { namespace disable @@ -29,7 +31,7 @@ namespace dvars namespace callback { - void on_new_value(const std::string& name, const std::function callback); + void on_new_value(const std::string& name, const std::function callback); void on_register(const std::string& name, const std::function& callback); } diff --git a/src/client/component/experimental.cpp b/src/client/component/experimental.cpp new file mode 100644 index 00000000..e9fc4d21 --- /dev/null +++ b/src/client/component/experimental.cpp @@ -0,0 +1,30 @@ +#include +#include "loader/component_loader.hpp" + +#include "dvars.hpp" +#include "scheduler.hpp" + +#include "game/game.hpp" +#include "game/dvars.hpp" + +#include + +namespace experimental +{ + class component final : public component_interface + { + public: + void post_unpack() override + { + // fix static model's lighting going black sometimes + //dvars::override::register_int("r_smodelInstancedThreshold", 0, 0, 128, 0x0); + + // change minimum cap to -2000 instead of -1000 (culling issue) + dvars::override::register_float("r_lodBiasRigid", 0, -2000, 0, game::DVAR_FLAG_SAVED); + } + }; +} + +#ifdef DEBUG +REGISTER_COMPONENT(experimental::component) +#endif \ No newline at end of file diff --git a/src/client/component/fastfiles.cpp b/src/client/component/fastfiles.cpp index a85bfb8b..36e04289 100644 --- a/src/client/component/fastfiles.cpp +++ b/src/client/component/fastfiles.cpp @@ -5,6 +5,8 @@ #include "console.hpp" #include "fastfiles.hpp" #include "filesystem.hpp" +#include "imagefiles.hpp" +#include "weapon.hpp" #include "game/dvars.hpp" @@ -22,13 +24,17 @@ namespace fastfiles { utils::hook::detour db_try_load_x_file_internal_hook; utils::hook::detour db_find_xasset_header_hook; - game::dvar_t* g_dump_scripts; - std::vector fastfile_handles; + game::dvar_t* g_dump_scripts; + game::dvar_t* db_print_default_assets; + + utils::concurrency::container> fastfile_handles; + bool is_mod_pre_gfx = false; void db_try_load_x_file_internal(const char* zone_name, const int flags) { console::info("Loading fastfile %s\n", zone_name); + is_mod_pre_gfx = zone_name == "mod_pre_gfx"s; current_fastfile.access([&](std::string& fastfile) { fastfile = zone_name; @@ -68,12 +74,13 @@ namespace fastfiles dump_gsc_script(name, result); } + const std::string override_asset_name = "override/"s + name; + if (type == game::XAssetType::ASSET_TYPE_RAWFILE) { if (result.rawfile) { - const std::string override_rawfile_name = "override/"s + name; - const auto override_rawfile = db_find_xasset_header_hook.invoke(type, override_rawfile_name.data(), 0); + const auto override_rawfile = db_find_xasset_header_hook.invoke(type, override_asset_name.data(), 0); if (override_rawfile.rawfile) { result.rawfile = override_rawfile.rawfile; @@ -82,6 +89,25 @@ namespace fastfiles } } + if (type == game::XAssetType::ASSET_TYPE_STRINGTABLE) + { + if (result.stringTable) + { + const auto override_stringtable = db_find_xasset_header_hook.invoke(type, override_asset_name.data(), 0); + if (override_stringtable.stringTable) + { + result.stringTable = override_stringtable.stringTable; + console::debug("using override asset for stringtable: \"%s\"\n", name); + } + } + } + + if (db_print_default_assets->current.enabled && game::DB_IsXAssetDefault(type, name)) + { + console::warn("Waited %i msec for default asset \"%s\" of type \"%s\"\n", + diff, name, game::g_assetNames[type]); + } + if (diff > 100) { console::print( @@ -214,7 +240,10 @@ namespace fastfiles FILE_FLAG_OVERLAPPED | FILE_FLAG_NO_BUFFERING, nullptr); if (handle != INVALID_HANDLE_VALUE) { - fastfile_handles.push_back(handle); + fastfile_handles.access([&](std::vector& handles) + { + handles.push_back(handle); + }); } return handle; @@ -231,8 +260,9 @@ namespace fastfiles const auto& usermap_value = usermap.value(); const std::string usermap_file = utils::string::va("%s.ff", usermap_value.data()); const std::string usermap_load_file = utils::string::va("%s_load.ff", usermap_value.data()); + const std::string usermap_pak_file = utils::string::va("%s.pak", usermap_value.data()); - if (mapname == usermap_file || mapname == usermap_load_file) + if (mapname == usermap_file || mapname == usermap_load_file || mapname == usermap_pak_file) { const auto path = utils::string::va("usermaps\\%s\\%s", usermap_value.data(), mapname.data()); @@ -288,7 +318,7 @@ namespace fastfiles } } - if (name.ends_with(".ff")) + if (name.ends_with(".ff") || name.ends_with(".pak")) { handle = find_fastfile(name, true); } @@ -336,11 +366,17 @@ namespace fastfiles void load_pre_gfx_zones(game::XZoneInfo* zoneInfo, unsigned int zoneCount, game::DBSyncMode syncMode) { + imagefiles::close_custom_handles(); + std::vector data; merge(&data, zoneInfo, zoneCount); // code_pre_gfx + weapon::clear_modifed_enums(); + try_load_zone("mod_pre_gfx", true); + try_load_zone("h1_mod_pre_gfx", true); + game::DB_LoadXAssets(data.data(), static_cast(data.size()), syncMode); } @@ -429,6 +465,642 @@ namespace fastfiles console::warn("No aipaths found for this map\n"); } } + + int format_bsp_name(char* filename, int size, const char* mapname) + { + std::string name = mapname; + auto fmt = "maps/%s.d3dbsp"; + if (name.starts_with("mp_")) + { + fmt = "maps/mp/%s.d3dbsp"; + } + + return game::Com_sprintf(filename, size, fmt, mapname); + } + + void get_bsp_filename_stub(char* filename, int size, const char* mapname) + { + auto base_mapname = mapname; + game::Com_IsAddonMap(mapname, &base_mapname); + format_bsp_name(filename, size, base_mapname); + } + + utils::hook::detour image_file_decrypt_value_hook; + bool image_file_decrypt_value_stub(char* value, int size, char* buffer) + { + auto is_all_zero = true; + for (auto i = 0; i < size; i++) + { + if (value[i] != 0) + { + is_all_zero = false; + } + } + + if (is_all_zero) + { + return true; + } + + return image_file_decrypt_value_hook.invoke(value, size, buffer); + } + + int com_sprintf_stub(char* dest, int size, const char* /*fmt*/, const char* mapname) + { + return format_bsp_name(dest, size, mapname); + } + + const char* get_zone_name(const unsigned int index) + { + if (game::environment::is_sp()) + { + return game::sp::g_zones[index].name; + } + else + { + return game::mp::g_zones[index].name; + } + } + + utils::hook::detour db_unload_x_zones_hook; + void db_unload_x_zones_stub(const unsigned short* unload_zones, + const unsigned int unload_count, const bool create_default) + { + for (auto i = 0u; i < unload_count; i++) + { + const auto zone_name = get_zone_name(unload_zones[i]); + if (zone_name[0] != '\0') + { + imagefiles::close_handle(zone_name); + } + } + + db_unload_x_zones_hook.invoke(unload_zones, unload_count, create_default); + } + + namespace mp + { + constexpr unsigned int get_asset_type_size(const game::XAssetType type) + { + constexpr int asset_type_sizes[] = + { + 96, 88, 128, 56, 40, 216, + 56, 680, 592, 32, 32, 32, + 32, 32, 2112, 1936, 104, + 32, 24, 152, 152, 152, 16, + 64, 640, 40, 16, 136, 24, + 296, 176, 2864, 48, 0, 24, + 200, 88, 16, 144, 3616, 56, + 64, 16, 16, 0, 0, 0, 0, 24, + 40, 24, 48, 40, 24, 16, 80, + 128, 2256, 136, 32, 72, + 24, 64, 88, 48, 32, 96, 152, + 64, 32, 32, + }; + + return asset_type_sizes[type]; + } + + constexpr unsigned int get_pool_type_size(const game::XAssetType type) + { + constexpr int asset_pool_sizes[] = + { + 128, 256, 16, 1, 128, 5000, + 5248, 4352, 17536, 256, 49152, + 12288, 12288, 72864, 512, + 2750, 23264, 16000, 256, 64, + 64, 64, 64, 8000, 1, 1, 1, 1, + 1, 2, 1, 1, 32, 0, 128, 910, + 16, 14100, 128, 200, 1, 2048, + 4, 6, 0, 0, 0, 0, 1024, 768, + 400, 128, 128, 24, 24, 24, + 32, 32, 2, 128, 64, 384, 128, + 1, 128, 64, 32, 32, 16, 32, 16 + }; + + return asset_pool_sizes[type]; + } + + template + char* reallocate_asset_pool() + { + constexpr auto element_size = get_asset_type_size(Type); + static char new_pool[element_size * Size] = {0}; + static_assert(element_size != 0); + assert(element_size == game::DB_GetXAssetTypeSize(Type)); + + std::memmove(new_pool, game::g_assetPool[Type], game::g_poolSize[Type] * element_size); + + game::g_assetPool[Type] = new_pool; + game::g_poolSize[Type] = Size; + + return new_pool; + } + + template + char* reallocate_asset_pool_multiplier() + { + constexpr auto pool_size = get_pool_type_size(Type); + return reallocate_asset_pool(); + } + +#define RVA(ptr) static_cast(reinterpret_cast(ptr) - 0_b) + + struct buffer_info + { + void* ptr; + size_t size; + }; + + std::vector string_buffers; + void memset_stub(void* place, int value, size_t size) + { + for (const auto& buffer : string_buffers) + { + std::memset(buffer.ptr, 0, buffer.size); + } + + std::memset(place, value, size); + } + + void reallocate_weapon_pool() + { + constexpr auto multiplier = 2; + constexpr auto pool_size = get_pool_type_size(game::ASSET_TYPE_WEAPON) * multiplier; + static void* weapon_complete_defs[pool_size]{}; + static void* weapon_strings[pool_size]{}; + + string_buffers.emplace_back(weapon_strings, pool_size * sizeof(void*)); + + utils::hook::set(0x1186A4_b + 4, RVA(weapon_strings)); + utils::hook::set(0x1186B5_b + 4, RVA(weapon_strings)); + utils::hook::set(0x104BD2_b + 4, RVA(weapon_strings) - 0x38F1750); + + reallocate_asset_pool(); + + utils::hook::inject(0x2E3005_b + 3, + reinterpret_cast(reinterpret_cast(weapon_complete_defs) + 8)); + + utils::hook::inject(0xED734_b + 3, weapon_complete_defs); + utils::hook::inject(0x1D59F4_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DCEDB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7BB5_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7D35_b + 3, weapon_complete_defs); + utils::hook::inject(0x2ECCD0_b + 3, weapon_complete_defs); + utils::hook::inject(0x429B84_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1DFD_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E21AB_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E8BC9_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DDBA6_b + 3, weapon_complete_defs); + utils::hook::inject(0x549FF0_b + 3, weapon_complete_defs); + utils::hook::inject(0x563D20_b + 3, weapon_complete_defs); + utils::hook::inject(0x563E04_b + 3, weapon_complete_defs); + utils::hook::inject(0x618464_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DB218_b + 3, weapon_complete_defs); + utils::hook::inject(0x41ECDC_b + 3, weapon_complete_defs); + utils::hook::inject(0x42C882_b + 3, weapon_complete_defs); + utils::hook::inject(0xEFE22_b + 3, weapon_complete_defs); + utils::hook::inject(0x1199DD_b + 3, weapon_complete_defs); + utils::hook::inject(0x11D857_b + 3, weapon_complete_defs); + utils::hook::inject(0x128E28_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DB83B_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DC5BC_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2549_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E29DF_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6337_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7963_b + 3, weapon_complete_defs); + utils::hook::inject(0x2F0BA3_b + 3, weapon_complete_defs); + utils::hook::inject(0x3044C3_b + 3, weapon_complete_defs); + utils::hook::inject(0x305118_b + 3, weapon_complete_defs); + utils::hook::inject(0x41B385_b + 3, weapon_complete_defs); + utils::hook::inject(0x42544A_b + 3, weapon_complete_defs); + utils::hook::inject(0x425EAB_b + 3, weapon_complete_defs); + utils::hook::inject(0x426971_b + 3, weapon_complete_defs); + utils::hook::inject(0x42ACA7_b + 3, weapon_complete_defs); + utils::hook::inject(0x10A173_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D922C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DD2D0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DE6C4_b + 3, weapon_complete_defs); + utils::hook::inject(0x2F041F_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E2BC_b + 3, weapon_complete_defs); + utils::hook::inject(0x41F054_b + 3, weapon_complete_defs); + utils::hook::inject(0x427487_b + 3, weapon_complete_defs); + utils::hook::inject(0x461657_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A351_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A524_b + 3, weapon_complete_defs); + utils::hook::inject(0x567328_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DE83F_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DF050_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EBFE0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DF290_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A6A0_b + 3, weapon_complete_defs); + utils::hook::inject(0xE97A0_b + 3, weapon_complete_defs); + utils::hook::inject(0xE97F0_b + 3, weapon_complete_defs); + utils::hook::inject(0xE9900_b + 3, weapon_complete_defs); + utils::hook::inject(0xE9954_b + 3, weapon_complete_defs); + utils::hook::inject(0xEDAEC_b + 3, weapon_complete_defs); + utils::hook::inject(0x1BA6FC_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E99B2_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E9AD2_b + 3, weapon_complete_defs); + utils::hook::inject(0x2818CA_b + 3, weapon_complete_defs); + utils::hook::inject(0x2845FD_b + 3, weapon_complete_defs); + utils::hook::inject(0x284C2D_b + 3, weapon_complete_defs); + utils::hook::inject(0x285694_b + 3, weapon_complete_defs); + utils::hook::inject(0x285C2C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2C606A_b + 3, weapon_complete_defs); + utils::hook::inject(0x2CD275_b + 3, weapon_complete_defs); + utils::hook::inject(0x2CD2B4_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D50A4_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D8B20_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DC824_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DCDE1_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DEA7C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1463_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E14EF_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E15EB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E17FB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E18EB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E19EB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E339E_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E360A_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E3CE0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E56C8_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E5840_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E58BB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E5FE2_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6890_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E68F0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6960_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6AB0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6CA0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7640_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E76A0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7700_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7760_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E77C0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7A80_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E8753_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EA650_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EB870_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EC488_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EFD84_b + 3, weapon_complete_defs); + utils::hook::inject(0x427D5C_b + 3, weapon_complete_defs); + utils::hook::inject(0x4288F8_b + 3, weapon_complete_defs); + utils::hook::inject(0x428C89_b + 3, weapon_complete_defs); + utils::hook::inject(0x43748E_b + 3, weapon_complete_defs); + utils::hook::inject(0x4376AE_b + 3, weapon_complete_defs); + utils::hook::inject(0x43796E_b + 3, weapon_complete_defs); + utils::hook::inject(0x54953B_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A21F_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A5F0_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A7E7_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A8D9_b + 3, weapon_complete_defs); + utils::hook::inject(0x54ADA0_b + 3, weapon_complete_defs); + utils::hook::inject(0x54BAC0_b + 3, weapon_complete_defs); + utils::hook::inject(0x472198_b + 3, weapon_complete_defs); + utils::hook::inject(0x285FF2_b + 3, weapon_complete_defs); + utils::hook::inject(0x2C3154_b + 3, weapon_complete_defs); + utils::hook::inject(0x2C3AC0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DD193_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DECC4_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DEE68_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E16EB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1ACB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1CFB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1EDB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2015_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E20AB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7530_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E8950_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EBA5C_b + 3, weapon_complete_defs); + utils::hook::inject(0x30307B_b + 3, weapon_complete_defs); + utils::hook::inject(0x30308E_b + 3, weapon_complete_defs); + utils::hook::inject(0x30917E_b + 3, weapon_complete_defs); + utils::hook::inject(0x41AE27_b + 3, weapon_complete_defs); + utils::hook::inject(0x549354_b + 3, weapon_complete_defs); + utils::hook::inject(0x54A867_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D4FDB_b + 3, weapon_complete_defs); + utils::hook::inject(0xEB3BA_b + 3, weapon_complete_defs); + utils::hook::inject(0xFDC77_b + 3, weapon_complete_defs); + utils::hook::inject(0x1072EB_b + 3, weapon_complete_defs); + utils::hook::inject(0x11C14E_b + 3, weapon_complete_defs); + utils::hook::inject(0x1270D5_b + 3, weapon_complete_defs); + utils::hook::inject(0x12868F_b + 3, weapon_complete_defs); + utils::hook::inject(0x128848_b + 3, weapon_complete_defs); + utils::hook::inject(0x2C4160_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7B12_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EA7C6_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EAE75_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EB077_b + 3, weapon_complete_defs); + utils::hook::inject(0x41BB9D_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E64B_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E868_b + 3, weapon_complete_defs); + utils::hook::inject(0x41EBCB_b + 3, weapon_complete_defs); + utils::hook::inject(0x426172_b + 3, weapon_complete_defs); + utils::hook::inject(0x4262A0_b + 3, weapon_complete_defs); + utils::hook::inject(0x439669_b + 3, weapon_complete_defs); + utils::hook::inject(0x45E912_b + 3, weapon_complete_defs); + utils::hook::inject(0x46284E_b + 3, weapon_complete_defs); + utils::hook::inject(0x46D658_b + 3, weapon_complete_defs); + utils::hook::inject(0x46DF93_b + 3, weapon_complete_defs); + utils::hook::inject(0xD597B_b + 3, weapon_complete_defs); + utils::hook::inject(0xF3375_b + 3, weapon_complete_defs); + utils::hook::inject(0x121F3A_b + 3, weapon_complete_defs); + utils::hook::inject(0x1BA9C8_b + 3, weapon_complete_defs); + utils::hook::inject(0x1D3F28_b + 3, weapon_complete_defs); + utils::hook::inject(0x2C4220_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D70DB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DB108_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2FC1_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EB8D9_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EBB85_b + 3, weapon_complete_defs); + utils::hook::inject(0x40C304_b + 3, weapon_complete_defs); + utils::hook::inject(0x42A795_b + 3, weapon_complete_defs); + utils::hook::inject(0x472530_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E9939_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E7F79_b + 3, weapon_complete_defs); + utils::hook::inject(0x117129_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DE589_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E4D2E_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E4E73_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E578E_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6686_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6DCD_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E05A_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E1D3_b + 3, weapon_complete_defs); + utils::hook::inject(0x428ECE_b + 3, weapon_complete_defs); + utils::hook::inject(0x54BB26_b + 3, weapon_complete_defs); + utils::hook::inject(0x6183A6_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D6FF6_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EBCED_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E041A_b + 3, weapon_complete_defs); + utils::hook::inject(0xF38FE_b + 3, weapon_complete_defs); + utils::hook::inject(0xF7880_b + 3, weapon_complete_defs); + utils::hook::inject(0x102153_b + 3, weapon_complete_defs); + utils::hook::inject(0x1021FB_b + 3, weapon_complete_defs); + utils::hook::inject(0x10415B_b + 3, weapon_complete_defs); + utils::hook::inject(0x1168F5_b + 3, weapon_complete_defs); + utils::hook::inject(0x126C09_b + 3, weapon_complete_defs); + utils::hook::inject(0x180552_b + 3, weapon_complete_defs); + utils::hook::inject(0x1CCFD0_b + 3, weapon_complete_defs); + utils::hook::inject(0x1D929F_b + 3, weapon_complete_defs); + utils::hook::inject(0x1D9575_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E8E0E_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E98CC_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D4EF3_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D638B_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DC023_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E31D7_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E3EC8_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E9364_b + 3, weapon_complete_defs); + utils::hook::inject(0x2FCEDF_b + 3, weapon_complete_defs); + utils::hook::inject(0x324376_b + 3, weapon_complete_defs); + utils::hook::inject(0x440497_b + 3, weapon_complete_defs); + utils::hook::inject(0x460237_b + 3, weapon_complete_defs); + utils::hook::inject(0x46025A_b + 3, weapon_complete_defs); + utils::hook::inject(0x461200_b + 3, weapon_complete_defs); + utils::hook::inject(0x46EBE4_b + 3, weapon_complete_defs); + utils::hook::inject(0x46EE70_b + 3, weapon_complete_defs); + utils::hook::inject(0x46F4E1_b + 3, weapon_complete_defs); + utils::hook::inject(0x46FD48_b + 3, weapon_complete_defs); + utils::hook::inject(0x5F2479_b + 3, weapon_complete_defs); + utils::hook::inject(0x6641D_b + 3, weapon_complete_defs); + utils::hook::inject(0x1074F2_b + 3, weapon_complete_defs); + utils::hook::inject(0x1C7B8D_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DE40E_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DE8B5_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DF63C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DF7DF_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E0CD9_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2ADD_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2B7C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E2DB1_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E4C10_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E9F50_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EA0B0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EA535_b + 3, weapon_complete_defs); + utils::hook::inject(0x2ED0A5_b + 3, weapon_complete_defs); + utils::hook::inject(0x305581_b + 3, weapon_complete_defs); + utils::hook::inject(0x3236BD_b + 3, weapon_complete_defs); + utils::hook::inject(0x3F2CDA_b + 3, weapon_complete_defs); + utils::hook::inject(0x407BE5_b + 3, weapon_complete_defs); + utils::hook::inject(0x4155E0_b + 3, weapon_complete_defs); + utils::hook::inject(0x41C61D_b + 3, weapon_complete_defs); + utils::hook::inject(0x41D96E_b + 3, weapon_complete_defs); + utils::hook::inject(0x41DA71_b + 3, weapon_complete_defs); + utils::hook::inject(0x42A442_b + 3, weapon_complete_defs); + utils::hook::inject(0x42F56F_b + 3, weapon_complete_defs); + utils::hook::inject(0x5482BB_b + 3, weapon_complete_defs); + utils::hook::inject(0x54AA1D_b + 3, weapon_complete_defs); + utils::hook::inject(0x1075A9_b + 3, weapon_complete_defs); + utils::hook::inject(0xC5394_b + 3, weapon_complete_defs); + utils::hook::inject(0xEEC4D_b + 3, weapon_complete_defs); + utils::hook::inject(0x11C2E2_b + 3, weapon_complete_defs); + utils::hook::inject(0x11E6F2_b + 3, weapon_complete_defs); + utils::hook::inject(0x1994C0_b + 3, weapon_complete_defs); + utils::hook::inject(0x1E9DE0_b + 3, weapon_complete_defs); + utils::hook::inject(0x285E44_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E1BE1_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E3F34_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E474C_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E6B2E_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E9530_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E95B0_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EC08D_b + 3, weapon_complete_defs); + utils::hook::inject(0x2ECC4D_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EFD59_b + 3, weapon_complete_defs); + utils::hook::inject(0x2FCEFE_b + 3, weapon_complete_defs); + utils::hook::inject(0x2FCF15_b + 3, weapon_complete_defs); + utils::hook::inject(0x328444_b + 3, weapon_complete_defs); + utils::hook::inject(0x40F47E_b + 3, weapon_complete_defs); + utils::hook::inject(0x4169AB_b + 3, weapon_complete_defs); + utils::hook::inject(0x41C481_b + 3, weapon_complete_defs); + utils::hook::inject(0x41E742_b + 3, weapon_complete_defs); + utils::hook::inject(0x41EE62_b + 3, weapon_complete_defs); + utils::hook::inject(0x41EF3E_b + 3, weapon_complete_defs); + utils::hook::inject(0x45FD83_b + 3, weapon_complete_defs); + utils::hook::inject(0x46181E_b + 3, weapon_complete_defs); + utils::hook::inject(0x46EDD8_b + 3, weapon_complete_defs); + utils::hook::inject(0x54924D_b + 3, weapon_complete_defs); + utils::hook::inject(0x54AFA5_b + 3, weapon_complete_defs); + utils::hook::inject(0x617F77_b + 3, weapon_complete_defs); + utils::hook::inject(0xF30DF_b + 3, weapon_complete_defs); + utils::hook::inject(0x2BC095_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D605B_b + 3, weapon_complete_defs); + utils::hook::inject(0x2D8CD1_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DA7DB_b + 3, weapon_complete_defs); + utils::hook::inject(0x2DC379_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E3121_b + 3, weapon_complete_defs); + utils::hook::inject(0x2E5953_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EA8C2_b + 3, weapon_complete_defs); + utils::hook::inject(0x2EE9F7_b + 3, weapon_complete_defs); + utils::hook::inject(0x303318_b + 3, weapon_complete_defs); + utils::hook::inject(0x424D33_b + 3, weapon_complete_defs); + utils::hook::inject(0x429149_b + 3, weapon_complete_defs); + utils::hook::inject(0x4299F4_b + 3, weapon_complete_defs); + utils::hook::inject(0x4417C9_b + 3, weapon_complete_defs); + utils::hook::inject(0x471083_b + 3, weapon_complete_defs); + + utils::hook::inject(0x2E0440_b + 3, weapon_complete_defs); + + utils::hook::set(0x427EB1_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x4240A8_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x54B8B1_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2D274B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x311DA8_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x311EB8_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x323BD1_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2E0864_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2F170C_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42CB3B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x136327_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x4671FF_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x46722F_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x46754C_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x565FA2_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x56600E_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2EA352_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2EA369_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x56483F_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x2EA337_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x402261_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x4022A9_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x41CED5_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42B540_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42B560_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x5660CB_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42B523_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x117C82_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x411438_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x12AB34_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x129F9B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x12AC16_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x12AC9D_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x424087_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x54B897_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x129F5C_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42406A_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x54B87B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x565D1B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x123FF5_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42CB1B_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x42CAFE_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x136310_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x46752E_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x1362F3_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0xF454D_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x41CC61_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x41D7FB_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x427E8F_b + 4, RVA(&weapon_complete_defs)); + utils::hook::set(0x427E72_b + 4, RVA(&weapon_complete_defs)); + + utils::hook::set(0x11865F_b + 4, RVA(&weapon_complete_defs)); + } + + void reallocate_attachment_pool() + { + constexpr auto multiplier = 2; + constexpr auto pool_size = get_pool_type_size(game::ASSET_TYPE_ATTACHMENT) * multiplier; + reallocate_asset_pool(); + + static void* attachment_array[pool_size]{}; + static void* attachment_strings[pool_size]{}; + + string_buffers.emplace_back(attachment_strings, pool_size * sizeof(void*)); + + utils::hook::inject(0x118599_b + 3, attachment_strings); + utils::hook::inject(0x441187_b + 3, attachment_strings); + utils::hook::set(0x104C8A_b + 4, RVA(attachment_strings) - 0x38F1750); + + const auto sub_118540_stub = [](utils::hook::assembler& a) + { + a.mov(rax, reinterpret_cast(&attachment_array[0])); + a.mov(r8d, pool_size); + a.mov(rdx, rax); + a.mov(ecx, game::ASSET_TYPE_ATTACHMENT); + a.call(0x59D460_b); + a.jmp(0x118573_b); + }; + + const auto loc_1185A0_stub = [](utils::hook::assembler& a) + { + a.mov(rax, reinterpret_cast(&attachment_array[0])); + a.push(rbx); + a.imul(rbx, 8); + a.mov(rcx, qword_ptr(rax, rbx)); + a.pop(rbx); + a.cmp(qword_ptr(rcx, 8), 0); + a.lea(rsi, qword_ptr(rcx, 8)); + a.jmp(0x1185AE_b); + }; + + utils::hook::jump(0x11855F_b, utils::hook::assemble(sub_118540_stub), true); + utils::hook::jump(0x1185A0_b, utils::hook::assemble(loc_1185A0_stub), true); + } + + void reallocate_attachment_and_weapon() + { + // weapon & attachment strings are reset here (we need to also reset the reallocated ones) + utils::hook::call(0x13ABBA_b, memset_stub); + utils::hook::call(0x13AC5C_b, memset_stub); + utils::hook::call(0x13ACF0_b, memset_stub); + utils::hook::call(0x17D1C5_b, memset_stub); + + reallocate_weapon_pool(); + reallocate_attachment_pool(); + } + + void reallocate_sound_pool() + { + constexpr auto original_pool_size = get_pool_type_size(game::ASSET_TYPE_SOUND); + constexpr auto multiplier = 2; + constexpr auto pool_size = original_pool_size * multiplier; + + const auto pool = reallocate_asset_pool(); + utils::hook::inject(0x39621D_b + 3, reinterpret_cast(reinterpret_cast(pool) + 8)); + + static unsigned short net_const_string_sound_map[pool_size]{}; + utils::hook::inject(0x2B0CEA_b + 3, net_const_string_sound_map); + utils::hook::inject(0x2B0F52_b + 3, net_const_string_sound_map); + utils::hook::inject(0x2B1866_b + 3, net_const_string_sound_map); + utils::hook::inject(0x2B1CC7_b + 3, net_const_string_sound_map); + } + + void reallocate_asset_pools() + { + reallocate_attachment_and_weapon(); + reallocate_sound_pool(); + reallocate_asset_pool_multiplier(); + reallocate_asset_pool_multiplier(); + reallocate_asset_pool_multiplier(); + } + } + + void reallocate_asset_pools() + { + if (!game::environment::is_sp()) + { + mp::reallocate_asset_pools(); + } + } + + utils::hook::detour db_link_x_asset_entry_hook; + game::XAssetEntry* db_link_x_asset_entry_stub(game::XAssetType type, game::XAssetHeader* header) + { + if (!is_mod_pre_gfx) + { + return db_link_x_asset_entry_hook.invoke(type, header); + } + + static game::XAssetEntry entry{}; + + if (type != game::ASSET_TYPE_STRINGTABLE) + { + return &entry; + } + + return db_link_x_asset_entry_hook.invoke(type, header); + } } bool exists(const std::string& zone, bool ignore_usermap) @@ -466,10 +1138,14 @@ namespace fastfiles void close_fastfile_handles() { - for (const auto& handle : fastfile_handles) + fastfile_handles.access([&](std::vector& handles) { - CloseHandle(handle); - } + for (const auto& handle : handles) + { + CloseHandle(handle); + } + }); + } void set_usermap(const std::string& usermap) @@ -521,12 +1197,28 @@ namespace fastfiles SELECT_VALUE(0x1F5700_b, 0x39A620_b), &db_try_load_x_file_internal); db_find_xasset_header_hook.create(game::DB_FindXAssetHeader, db_find_xasset_header_stub); + db_unload_x_zones_hook.create(SELECT_VALUE(0x1F6040_b, + 0x39B3C0_b), db_unload_x_zones_stub); + + db_print_default_assets = dvars::register_bool("db_printDefaultAssets", + false, game::DVAR_FLAG_SAVED, "Print default asset usage"); + + if (!game::environment::is_sp()) + { + db_link_x_asset_entry_hook.create(0x396E80_b, db_link_x_asset_entry_stub); + } + g_dump_scripts = dvars::register_bool("g_dumpScripts", false, game::DVAR_FLAG_NONE, "Dump GSC scripts"); - // Allow loading of unsigned fastfiles + reallocate_asset_pools(); + + // Allow loading of unsigned fastfiles & imagefiles if (!game::environment::is_sp()) { utils::hook::nop(0x368153_b, 2); // DB_InflateInit + + image_file_decrypt_value_hook.create(0x367520_b, image_file_decrypt_value_stub); + utils::hook::set(0x366F00_b, 0xC301B0); } if (game::environment::is_sp()) @@ -536,6 +1228,12 @@ namespace fastfiles // Don't sys_error if aipaths are missing utils::hook::call(0x2F8EE9_b, db_find_aipaths_stub); } + else + { + // Allow loading sp maps on mp + utils::hook::jump(0x15AFC0_b, get_bsp_filename_stub); + utils::hook::call(0x112ED8_b, com_sprintf_stub); + } // Allow loading of mixed compressor types utils::hook::nop(SELECT_VALUE(0x1C4BE7_b, 0x3687A7_b), 2); @@ -595,6 +1293,53 @@ namespace fastfiles console::warn("loadzone: zone \"%s\" could not be found!\n", name); } }); + + command::add("poolUsages", []() + { + for (auto i = 0; i < game::ASSET_TYPE_COUNT; i++) + { + auto count = 0; + enum_assets(static_cast(i), [&](game::XAssetHeader header) + { + count++; + }, true); + + console::info("%i %s: %i / %i\n", i, game::g_assetNames[i], count, game::g_poolSize[i]); + } + }); + + command::add("poolUsage", [](const command::params& params) + { + if (params.size() < 2) + { + console::info("Usage: poolUsage \n"); + return; + } + + const auto type = static_cast(std::atoi(params.get(1))); + + auto count = 0; + enum_assets(type, [&](game::XAssetHeader header) + { + count++; + }, true); + + console::info("%i %s: %i / %i\n", type, game::g_assetNames[type], count, game::g_poolSize[type]); + }); + + command::add("assetCount", [](const command::params& params) + { + auto count = 0; + for (auto i = 0; i < game::ASSET_TYPE_COUNT; i++) + { + enum_assets(static_cast(i), [&](game::XAssetHeader header) + { + count++; + }, true); + } + + console::info("assets: %i / %i\n", count, 155000); + }); } }; } diff --git a/src/client/component/filesystem.cpp b/src/client/component/filesystem.cpp index e007b036..8f231216 100644 --- a/src/client/component/filesystem.cpp +++ b/src/client/component/filesystem.cpp @@ -5,6 +5,7 @@ #include "console.hpp" #include "filesystem.hpp" #include "localized_strings.hpp" +#include "mods.hpp" #include "updater.hpp" #include "game/game.hpp" @@ -39,11 +40,10 @@ namespace filesystem void fs_startup_stub(const char* name) { - console::debug("[FS] Startup\n"); + console::info("[FS] Startup\n"); initialized = true; - // hardcoded paths filesystem::register_path(utils::properties::get_appdata_path() / CLIENT_DATA_FOLDER); filesystem::register_path(L"."); filesystem::register_path(L"h1-mod"); @@ -53,9 +53,13 @@ namespace filesystem filesystem::register_path(L"raw"); filesystem::register_path(L"main"); - fs_startup_hook.invoke(name); + const auto mod_path = utils::flags::get_flag("mod"); + if (mod_path.has_value()) + { + mods::set_mod(mod_path.value()); + } - command::register_fs_game_path(); + fs_startup_hook.invoke(name); } std::vector get_paths(const std::filesystem::path& path) @@ -175,7 +179,7 @@ namespace filesystem { if (can_insert_path(path_)) { - console::debug("[FS] Registering path '%s'\n", path_.generic_string().data()); + console::info("[FS] Registering path '%s'\n", path_.generic_string().data()); get_search_paths_internal().push_front(path_); } } diff --git a/src/client/component/game_console.cpp b/src/client/component/game_console.cpp index 91684ee2..49649f60 100644 --- a/src/client/component/game_console.cpp +++ b/src/client/component/game_console.cpp @@ -181,12 +181,12 @@ namespace game_console { input = utils::string::to_lower(input); - for (const auto& dvar : dvars::dvar_list) + for (const auto& [hash, dvar] : dvars::dvar_map) { auto name = utils::string::to_lower(dvar.name); if (game::Dvar_FindVar(name.data()) && utils::string::match_compare(input, name, exact)) { - suggestions.push_back(dvar); + suggestions.emplace_back(dvar); } if (exact && suggestions.size() > 1) @@ -197,7 +197,7 @@ namespace game_console if (suggestions.size() == 0 && game::Dvar_FindVar(input.data())) { - suggestions.push_back({input, ""}); + suggestions.emplace_back(input, ""); } game::cmd_function_s* cmd = (*game::cmd_functions); @@ -209,7 +209,7 @@ namespace game_console if (utils::string::match_compare(input, name, exact)) { - suggestions.push_back({cmd->name, ""}); + suggestions.emplace_back(cmd->name, ""); } if (exact && suggestions.size() > 1) @@ -269,17 +269,13 @@ namespace game_console if (matches.size() > 24) { draw_hint_box(1, dvars::con_inputHintBoxColor->current.vector); - draw_hint_text(0, utils::string::va("%i matches (too many to show here). Press SHIFT + TAB to show more", matches.size()), - dvars::con_inputDvarMatchColor->current.vector); - - if (game::playerKeys[0].keys[game::keyNum_t::K_SHIFT].down && game::playerKeys[0].keys[game::keyNum_t::K_TAB].down) - { - console::info("]%s\n", con.buffer); - for (size_t i = 0; i < matches.size(); i++) - { - console::info("\t%s\n", matches[i].name.data()); - } - } + draw_hint_text(0, + utils::string::va( + "%i matches (too many to show here, " + "press shift+tilde to open full console, " + "press tab to print them all)", + matches.size() + ), dvars::con_inputDvarMatchColor->current.vector); } else if (matches.size() == 1) { @@ -717,6 +713,15 @@ namespace game_console clear(); } + + if (key == game::keyNum_t::K_TAB && std::strlen(con.buffer) >= 2 && matches.size() > 24) + { + console::info("]%s\n", con.buffer); + for (const auto& match : matches) + { + console::info("\t%s\n", match.name.data()); + } + } } } diff --git a/src/client/component/gsc/script_error.cpp b/src/client/component/gsc/script_error.cpp index 20af68f2..6a1a90d6 100644 --- a/src/client/component/gsc/script_error.cpp +++ b/src/client/component/gsc/script_error.cpp @@ -2,11 +2,15 @@ #include "loader/component_loader.hpp" #include "game/game.hpp" +#include "script_extension.hpp" #include "script_error.hpp" #include "component/scripting.hpp" #include +#include + +using namespace utils::string; namespace gsc { @@ -18,6 +22,37 @@ namespace gsc std::string unknown_function_error; + std::array var_typename = + { + "undefined", + "object", + "string", + "localized string", + "vector", + "float", + "int", + "codepos", + "precodepos", + "function", + "builtin function", + "builtin method", + "stack", + "animation", + "pre animation", + "thread", + "thread", + "thread", + "thread", + "struct", + "removed entity", + "entity", + "array", + "removed thread", + "", + "thread list", + "endon list", + }; + void scr_emit_function_stub(std::uint32_t filename, std::uint32_t thread_name, char* code_pos) { current_filename = filename; @@ -43,13 +78,14 @@ namespace gsc { const auto& pos = function.value(); unknown_function_error = std::format( - "while processing function '{}' in script '{}':\nunknown script '{}'", - pos.first, pos.second, scripting::current_file + "while processing function '{}' in script '{}':\nunknown script '{}' ({})", + pos.first, pos.second, scripting::current_file, scripting::current_file_id ); } else { - unknown_function_error = std::format("unknown script '{}'", scripting::current_file); + unknown_function_error = std::format("unknown script '{}' ({})", + scripting::current_file, scripting::current_file_id); } } @@ -59,29 +95,212 @@ namespace gsc const auto name = scripting::get_token(thread_name); unknown_function_error = std::format( - "while processing script '{}':\nunknown function '{}::{}'", + "while processing script '{}':\nunknown function '{}::{}'", scripting::current_file, filename, name ); } - void unknown_function_stub(const char* code_pos) + void compile_error_stub(const char* code_pos, [[maybe_unused]] const char* msg) { get_unknown_function_error(code_pos); - game::Com_Error(game::ERR_DROP, "script link error\n%s", - unknown_function_error.data()); + game::Com_Error(game::ERR_SCRIPT_DROP, "script link error\n%s", unknown_function_error.data()); } - + std::uint32_t find_variable_stub(std::uint32_t parent_id, std::uint32_t thread_name) { const auto res = game::FindVariable(parent_id, thread_name); if (!res) { get_unknown_function_error(thread_name); - game::Com_Error(game::ERR_DROP, "script link error\n%s", - unknown_function_error.data()); + game::Com_Error(game::ERR_SCRIPT_DROP, "script link error\n%s", unknown_function_error.data()); } return res; } + + unsigned int scr_get_object(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (value->type == game::VAR_POINTER) + { + return value->u.pointerValue; + } + + scr_error(va("Type %s is not an object", var_typename[value->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + unsigned int scr_get_const_string(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (game::Scr_CastString(value)) + { + assert(value->type == game::VAR_STRING); + return value->u.stringValue; + } + + game::Scr_ErrorInternal(); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + unsigned int scr_get_const_istring(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (value->type == game::VAR_ISTRING) + { + return value->u.stringValue; + } + + scr_error(va("Type %s is not a localized string", var_typename[value->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + void scr_validate_localized_string_ref(int parm_index, const char* token, int token_len) + { + assert(token); + assert(token_len >= 0); + + if (token_len < 2) + { + return; + } + + for (auto char_iter = 0; char_iter < token_len; ++char_iter) + { + if (!std::isalnum(static_cast(token[char_iter])) && token[char_iter] != '_') + { + scr_error(va("Illegal localized string reference: %s must contain only alpha-numeric characters and underscores", token)); + } + } + } + + void scr_get_vector(unsigned int index, float* vector_value) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (value->type == game::VAR_VECTOR) + { + std::memcpy(vector_value, value->u.vectorValue, sizeof(std::float_t[3])); + return; + } + + scr_error(va("Type %s is not a vector", var_typename[value->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + } + + int scr_get_int(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (value->type == game::VAR_INTEGER) + { + return value->u.intValue; + } + + scr_error(va("Type %s is not an int", var_typename[value->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + float scr_get_float(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + auto* value = game::scr_VmPub->top - index; + if (value->type == game::VAR_FLOAT) + { + return value->u.floatValue; + } + + if (value->type == game::VAR_INTEGER) + { + return static_cast(value->u.intValue); + } + + scr_error(va("Type %s is not a float", var_typename[value->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0.0f; + } + + int scr_get_pointer_type(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + if ((game::scr_VmPub->top - index)->type == game::VAR_POINTER) + { + return static_cast(game::GetObjectType((game::scr_VmPub->top - index)->u.uintValue)); + } + + scr_error(va("Type %s is not an object", var_typename[(game::scr_VmPub->top - index)->type])); + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + int scr_get_type(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + return (game::scr_VmPub->top - index)->type; + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return 0; + } + + const char* scr_get_type_name(unsigned int index) + { + if (index < game::scr_VmPub->outparamcount) + { + return var_typename[(game::scr_VmPub->top - index)->type]; + } + + scr_error(va("Parameter %u does not exist", index + 1)); + return nullptr; + } + + template + void safe_func() + { + static utils::hook::detour hook; + static const auto stub = []() + { + __try + { + hook.invoke(); + } + __except (EXCEPTION_EXECUTE_HANDLER) + { + game::Scr_ErrorInternal(); + } + }; + + const auto ptr = rva + 0_b; + hook.create(reinterpret_cast(ptr), stub); + } } std::optional> find_function(const char* pos) @@ -108,9 +327,27 @@ namespace gsc { scr_emit_function_hook.create(SELECT_VALUE(0x3BD680_b, 0x504660_b), &scr_emit_function_stub); - utils::hook::call(SELECT_VALUE(0x3BD626_b, 0x504606_b), unknown_function_stub); // CompileError (LinkFile) - utils::hook::call(SELECT_VALUE(0x3BD672_b, 0x504652_b), unknown_function_stub); // ^ - utils::hook::call(SELECT_VALUE(0x3BD75A_b, 0x50473A_b), find_variable_stub); // Scr_EmitFunction + utils::hook::call(SELECT_VALUE(0x3BD626_b, 0x504606_b), compile_error_stub); // CompileError (LinkFile) + utils::hook::call(SELECT_VALUE(0x3BD672_b, 0x504652_b), compile_error_stub); // ^ + utils::hook::call(SELECT_VALUE(0x3BD75A_b, 0x50473A_b), find_variable_stub); // Scr_EmitFunction + + // Restore basic error messages for commonly used scr functions + utils::hook::jump(SELECT_VALUE(0x3C89F0_b, 0x50F9E0_b), scr_get_object); + utils::hook::jump(SELECT_VALUE(0x3C84C0_b, 0x50F560_b), scr_get_const_string); + utils::hook::jump(SELECT_VALUE(0x3C8280_b, 0x50F320_b), scr_get_const_istring); + utils::hook::jump(SELECT_VALUE(0x2D6950_b, 0x452EF0_b), scr_validate_localized_string_ref); + utils::hook::jump(SELECT_VALUE(0x3C8F30_b, 0x50FF20_b), scr_get_vector); + utils::hook::jump(SELECT_VALUE(0x3C8930_b, 0x50F920_b), scr_get_int); + utils::hook::jump(SELECT_VALUE(0x3C87D0_b, 0x50F870_b), scr_get_float); + + utils::hook::jump(SELECT_VALUE(0x3C8C10_b, 0x50FC00_b), scr_get_pointer_type); + utils::hook::jump(SELECT_VALUE(0x3C8DE0_b, 0x50FDD0_b), scr_get_type); + utils::hook::jump(SELECT_VALUE(0x3C8E50_b, 0x50FE40_b), scr_get_type_name); + + if (!game::environment::is_sp()) + { + safe_func<0xBA7A0>(); // fix vlobby cac crash + } } void pre_destroy() override diff --git a/src/client/component/gsc/script_error.hpp b/src/client/component/gsc/script_error.hpp index e8742026..1cee00d2 100644 --- a/src/client/component/gsc/script_error.hpp +++ b/src/client/component/gsc/script_error.hpp @@ -1,4 +1,3 @@ - #pragma once namespace gsc diff --git a/src/client/component/gsc/script_extension.cpp b/src/client/component/gsc/script_extension.cpp index 9afcfd0b..5e174beb 100644 --- a/src/client/component/gsc/script_extension.cpp +++ b/src/client/component/gsc/script_extension.cpp @@ -3,23 +3,17 @@ #include "game/dvars.hpp" #include "game/game.hpp" -#include "game/scripting/execution.hpp" -#include "game/scripting/function.hpp" -#include "game/scripting/functions.hpp" -#include "game/scripting/lua/error.hpp" - -#include +#include "component/logfile.hpp" #include "component/command.hpp" #include "component/console.hpp" #include "component/scripting.hpp" -#include "component/logfile.hpp" -#include -#include - -#include "script_extension.hpp" #include "script_error.hpp" +#include "script_extension.hpp" +#include "script_loading.hpp" + +#include namespace gsc { @@ -33,8 +27,8 @@ namespace gsc namespace { - std::unordered_map functions; - std::unordered_map methods; + std::unordered_map functions; + std::unordered_map methods; bool force_error_print = false; std::optional gsc_error_msg; @@ -70,10 +64,15 @@ namespace gsc reinterpret_cast(pos - 2)); } + game::scr_entref_t get_entity_id_stub(std::uint32_t ent_id) + { + const auto ref = game::Scr_GetEntityIdRef(ent_id); + saved_ent_ref = ref; + return ref; + } + void execute_custom_function(const std::uint16_t id) { - auto error = false; - try { const auto& function = functions[id]; @@ -85,23 +84,33 @@ namespace gsc return_value(result); } } - catch (const std::exception& e) + catch (const std::exception& ex) { - error = true; - force_error_print = true; - gsc_error_msg = e.what(); + scr_error(ex.what()); + } + } + + void vm_call_builtin_function_stub(builtin_function func) + { + const auto function_id = get_function_id(); + const auto custom = functions.contains(static_cast(function_id)); + if (custom) + { + execute_custom_function(function_id); + return; } - if (error) + if (func == nullptr) { - game::Scr_ErrorInternal(); + scr_error(utils::string::va("builtin function \"%s\" doesn't exist", gsc_ctx->func_name(function_id).data()), true); + return; } + + func(); } void execute_custom_method(const std::uint16_t id) { - auto error = false; - try { const auto& method = methods[id]; @@ -113,52 +122,29 @@ namespace gsc return_value(result); } } - catch (const std::exception& e) + catch (const std::exception& ex) { - error = true; - force_error_print = true; - gsc_error_msg = e.what(); - } - - if (error) - { - game::Scr_ErrorInternal(); + scr_error(ex.what()); } } - void vm_call_builtin_function_stub(builtin_function function) + void vm_call_builtin_method_stub(builtin_method meth) { - const auto function_id = get_function_id(); - - if (!functions.contains(function_id)) + const auto method_id = get_function_id(); + const auto custom = methods.contains(static_cast(method_id)); + if (custom) { - function(); + execute_custom_method(method_id); + return; } - else - { - execute_custom_function(function_id); - } - } - game::scr_entref_t get_entity_id_stub(std::uint32_t ent_id) - { - const auto ref = game::Scr_GetEntityIdRef(ent_id); - saved_ent_ref = ref; - return ref; - } - - void vm_call_builtin_method_stub(builtin_method method) - { - const auto function_id = get_function_id(); - - if (!methods.contains(function_id)) + if (meth == nullptr) { - method(saved_ent_ref); - } - else - { - execute_custom_method(function_id); + scr_error(utils::string::va("builtin method \"%s\" doesn't exist", gsc_ctx->meth_name(method_id).data()), true); + return; } + + meth(saved_ent_ref); } void builtin_call_error(const std::string& error) @@ -167,13 +153,11 @@ namespace gsc if (function_id > 0x1000) { - console::warn("in call to builtin method \"%s\"%s", - xsk::gsc::h1::resolver::method_name(function_id).data(), error.data()); + console::warn("in call to builtin method \"%s\"%s", gsc_ctx->meth_name(function_id).data(), error.data()); } else { - console::warn("in call to builtin function \"%s\"%s", - xsk::gsc::h1::resolver::function_name(function_id).data(), error.data()); + console::warn("in call to builtin function \"%s\"%s", gsc_ctx->func_name(function_id).data(), error.data()); } } @@ -181,7 +165,8 @@ namespace gsc { try { - return {xsk::gsc::h1::resolver::opcode_name(opcode)}; + const auto index = gsc_ctx->opcode_enum(opcode); + return { gsc_ctx->opcode_name(index) }; } catch (...) { @@ -209,7 +194,8 @@ namespace gsc void vm_error_stub(int mark_pos) { - if (!developer_script->current.enabled && !force_error_print) + const bool dev_script = developer_script ? developer_script->current.enabled : false; + if (!dev_script && !force_error_print) { utils::hook::invoke(SELECT_VALUE(0x415C90_b, 0x59DDA0_b), mark_pos); return; @@ -266,19 +252,27 @@ namespace gsc } } + void scr_error(const char* error, const bool force_print) + { + force_error_print = force_print; + gsc_error_msg = error; + + game::Scr_ErrorInternal(); + } + namespace function { void add(const std::string& name, script_function function) { - if (xsk::gsc::h1::resolver::find_function(name)) + if (gsc_ctx->func_exists(name)) { - const auto id = xsk::gsc::h1::resolver::function_id(name); + const auto id = gsc_ctx->func_id(name); functions[id] = function; } else { const auto id = ++function_id_start; - xsk::gsc::h1::resolver::add_function(name, static_cast(id)); + gsc_ctx->func_add(name, static_cast(id)); functions[id] = function; } } @@ -288,15 +282,15 @@ namespace gsc { void add(const std::string& name, script_method method) { - if (xsk::gsc::h1::resolver::find_method(name)) + if (gsc_ctx->meth_exists(name)) { - const auto id = xsk::gsc::h1::resolver::method_id(name); + const auto id = gsc_ctx->meth_id(name); methods[id] = method; } else { const auto id = ++method_id_start; - xsk::gsc::h1::resolver::add_method(name, static_cast(id)); + gsc_ctx->meth_add(name, static_cast(id)); methods[id] = method; } } @@ -332,6 +326,8 @@ namespace gsc public: void post_unpack() override { + developer_script = dvars::register_bool("developer_script", false, 0, "Enable developer script comments"); + utils::hook::set(SELECT_VALUE(0x3BD86C_b, 0x50484C_b), 0x1000); // change builtin func count utils::hook::set(SELECT_VALUE(0x3BD872_b, 0x504852_b) + 4, @@ -348,8 +344,6 @@ namespace gsc utils::hook::inject(SELECT_VALUE(0x3BDC36_b, 0x504C66_b) + 3, &meth_table); utils::hook::set(SELECT_VALUE(0x3BDC3F_b, 0x504C6F_b), sizeof(meth_table)); - developer_script = dvars::register_bool("developer_script", false, 0, "Enable developer script comments"); - utils::hook::nop(SELECT_VALUE(0x3CB723_b, 0x512783_b), 8); utils::hook::call(SELECT_VALUE(0x3CB723_b, 0x512783_b), vm_call_builtin_function_stub); @@ -358,7 +352,7 @@ namespace gsc utils::hook::nop(SELECT_VALUE(0x3CBA4E_b, 0x512AAE_b), 2); utils::hook::call(SELECT_VALUE(0x3CBA46_b, 0x512AA6_b), vm_call_builtin_method_stub); - utils::hook::call(SELECT_VALUE(0x3CC9F3_b, 0x513A53_b), vm_error_stub); + utils::hook::call(SELECT_VALUE(0x3CC9F3_b, 0x513A53_b), vm_error_stub); // LargeLocalResetToMark if (game::environment::is_dedi()) { @@ -424,7 +418,7 @@ namespace gsc if (what.type != game::VAR_FUNCTION || with.type != game::VAR_FUNCTION) { - throw std::runtime_error("replaceFunc: parameter 1 must be a function"); + throw std::runtime_error("replacefunc: parameter 1 must be a function"); } logfile::set_gsc_hook(what.u.codePosValue, with.u.codePosValue); @@ -455,8 +449,7 @@ namespace gsc function::add("executecommand", [](const function_args& args) { - const auto cmd = args[0].as(); - command::execute(cmd, true); + command::execute(args[0].as(), false); return scripting::script_value{}; }); diff --git a/src/client/component/gsc/script_extension.hpp b/src/client/component/gsc/script_extension.hpp index 2aae4a2e..ad57e2b5 100644 --- a/src/client/component/gsc/script_extension.hpp +++ b/src/client/component/gsc/script_extension.hpp @@ -34,6 +34,8 @@ namespace gsc extern const game::dvar_t* developer_script; + void scr_error(const char* error, const bool force_print = false); + namespace function { void add(const std::string& name, script_function function); diff --git a/src/client/component/gsc/script_loading.cpp b/src/client/component/gsc/script_loading.cpp index 5d9c2cf5..ab24a55b 100644 --- a/src/client/component/gsc/script_loading.cpp +++ b/src/client/component/gsc/script_loading.cpp @@ -6,7 +6,7 @@ #include "component/filesystem.hpp" #include "component/logfile.hpp" #include "component/scripting.hpp" -#include "component/gsc/script_loading.hpp" +#include "component/memory.hpp" #include "game/dvars.hpp" @@ -14,39 +14,34 @@ #include "game/scripting/execution.hpp" #include "game/scripting/function.hpp" -#include -#include -#include -#include -#include -#include -#include -#include +#include "script_extension.hpp" +#include "script_loading.hpp" +#include #include #include #include namespace gsc { + std::unique_ptr gsc_ctx = std::make_unique();; + namespace { - auto compiler = ::gsc::compiler(); - auto decompiler = ::gsc::decompiler(); - auto assembler = ::gsc::assembler(); - auto disassembler = ::gsc::disassembler(); + utils::hook::detour scr_begin_load_scripts_hook; + utils::hook::detour scr_end_load_scripts_hook; std::unordered_map main_handles; std::unordered_map init_handles; utils::memory::allocator scriptfile_allocator; - std::unordered_map loaded_scripts; + std::unordered_map loaded_scripts; struct { char* buf = nullptr; char* pos = nullptr; - unsigned int size = 0x1000000; + const unsigned int size = memory::custom_script_mem_size; } script_memory; char* allocate_buffer(size_t size) @@ -83,15 +78,14 @@ namespace gsc free_script_memory(); } - bool read_script_file(const std::string& name, std::string* data) + bool read_raw_script_file(const std::string& name, std::string* data) { if (filesystem::read_file(name, data)) { return true; } - const auto name_str = name.data(); - + const auto* name_str = name.data(); if (game::DB_XAssetExists(game::ASSET_TYPE_RAWFILE, name_str) && !game::DB_IsXAssetDefault(game::ASSET_TYPE_RAWFILE, name_str)) { @@ -110,41 +104,75 @@ namespace gsc return false; } + bool force_load = false; + game::ScriptFile* load_custom_script(const char* file_name, const std::string& real_name) { - if (game::VirtualLobby_Loaded()) - { - return nullptr; - } - - if (const auto itr = loaded_scripts.find(real_name); itr != loaded_scripts.end()) + if (const auto itr = loaded_scripts.find(file_name); itr != loaded_scripts.end()) { return itr->second; } - std::string source_buffer; - if (!read_script_file(real_name + ".gsc", &source_buffer) || source_buffer.empty()) + if (game::VirtualLobby_Loaded() && !force_load) { return nullptr; } - if (game::DB_XAssetExists(game::ASSET_TYPE_SCRIPTFILE, file_name) && + std::string source_buffer{}; + if (!read_raw_script_file(real_name + ".gsc", &source_buffer) || source_buffer.empty()) + { + return nullptr; + } + + // filter out "GSC rawfiles" that were used for development usage and are not meant for us. + // each "GSC rawfile" has a ScriptFile counterpart to be used instead + if (game::DB_XAssetExists(game::ASSET_TYPE_SCRIPTFILE, file_name) && !game::DB_IsXAssetDefault(game::ASSET_TYPE_SCRIPTFILE, file_name)) { - // filter out gsc rawfiles that contain developer code (has ScriptFile counterparts for ship, won't compile either) - if ((real_name.starts_with("maps/createfx") || real_name.starts_with("maps/createart") || real_name.starts_with("maps/mp")) + if ((real_name.starts_with("maps/createfx") || real_name.starts_with("maps/createart") || real_name.starts_with("maps/mp")) && (real_name.ends_with("_fx") || real_name.ends_with("_fog") || real_name.ends_with("_hdr"))) { + console::debug("Refusing to compile rawfile '%s'\n", real_name.data()); return game::DB_FindXAssetHeader(game::ASSET_TYPE_SCRIPTFILE, file_name, false).scriptfile; } } - std::vector data; - data.assign(source_buffer.begin(), source_buffer.end()); + console::debug("Loading custom gsc '%s.gsc'", real_name.data()); try { - compiler->compile(real_name, data); + auto& compiler = gsc_ctx->compiler(); + auto& assembler = gsc_ctx->assembler(); + + std::vector data; + data.assign(source_buffer.begin(), source_buffer.end()); + + const auto assembly_ptr = compiler.compile(real_name, data); + const auto output_script = assembler.assemble(*assembly_ptr); + + const auto bytecode = output_script.first; // formerly named "script" + const auto stack = output_script.second; + + const auto script_file_ptr = static_cast(scriptfile_allocator.allocate(sizeof(game::ScriptFile))); + script_file_ptr->name = file_name; + + script_file_ptr->len = static_cast(stack.size); + script_file_ptr->bytecodeLen = static_cast(bytecode.size); + + const auto stack_size = static_cast(stack.size + 1); + const auto byte_code_size = static_cast(bytecode.size + 1); + + script_file_ptr->buffer = static_cast(scriptfile_allocator.allocate(stack_size)); + std::memcpy(const_cast(script_file_ptr->buffer), stack.data, stack.size); + + script_file_ptr->bytecode = allocate_buffer(byte_code_size); + std::memcpy(script_file_ptr->bytecode, bytecode.data, bytecode.size); + + script_file_ptr->compressedLen = 0; + + loaded_scripts[file_name] = script_file_ptr; + + return script_file_ptr; } catch (const std::exception& e) { @@ -153,46 +181,21 @@ namespace gsc console::error("**********************************************\n"); return nullptr; } + } - auto assembly = compiler->output(); - - try + std::string get_raw_script_file_name(const std::string& name) + { + if (name.ends_with(".gsh")) { - assembler->assemble(real_name, assembly); - } - catch (const std::exception& e) - { - console::error("*********** script compile error *************\n"); - console::error("failed to assemble '%s':\n%s", real_name.data(), e.what()); - console::error("**********************************************\n"); - return nullptr; + return name; } - const auto script_file_ptr = scriptfile_allocator.allocate(); - script_file_ptr->name = file_name; - - const auto stack = assembler->output_stack(); - script_file_ptr->len = static_cast(stack.size()); - - const auto script = assembler->output_script(); - script_file_ptr->bytecodeLen = static_cast(script.size()); - - script_file_ptr->buffer = game::Hunk_AllocateTempMemoryHigh(stack.size() + 1); - std::memcpy(script_file_ptr->buffer, stack.data(), stack.size()); - - script_file_ptr->bytecode = allocate_buffer(script.size() + 1); - std::memcpy(script_file_ptr->bytecode, script.data(), script.size()); - - script_file_ptr->compressedLen = 0; - - loaded_scripts[real_name] = script_file_ptr; - - return script_file_ptr; + return name + ".gsc"; } std::string get_script_file_name(const std::string& name) { - const auto id = xsk::gsc::h1::resolver::token_id(name); + const auto id = gsc_ctx->token_id(name); if (!id) { return name; @@ -201,27 +204,25 @@ namespace gsc return std::to_string(id); } - std::vector decompile_script_file(const std::string& name, const std::string& real_name) + std::pair> read_compiled_script_file(const std::string& name, const std::string& real_name) { const auto* script_file = game::DB_FindXAssetHeader(game::ASSET_TYPE_SCRIPTFILE, name.data(), false).scriptfile; - if (!script_file) + if (script_file == nullptr) { throw std::runtime_error(std::format("Could not load scriptfile '{}'", real_name)); } - console::info("Decompiling scriptfile '%s'\n", real_name.data()); + console::debug("Decompiling scriptfile '%s'\n", real_name.data()); - std::vector stack{script_file->buffer, script_file->buffer + script_file->len}; - std::vector bytecode{script_file->bytecode, script_file->bytecode + script_file->bytecodeLen}; + const auto len = script_file->compressedLen; + const std::string stack{script_file->buffer, static_cast(len)}; - auto decompressed_stack = xsk::utils::zlib::decompress(stack, static_cast(stack.size())); + const auto decompressed_stack = utils::compression::zlib::decompress(stack); - disassembler->disassemble(name, bytecode, decompressed_stack); - auto output = disassembler->output(); + std::vector stack_data; + stack_data.assign(decompressed_stack.begin(), decompressed_stack.end()); - decompiler->decompile(name, output); - - return decompiler->output(); + return {{reinterpret_cast(script_file->bytecode), static_cast(script_file->bytecodeLen)}, stack_data}; } void load_script(const std::string& name) @@ -231,31 +232,31 @@ namespace gsc return; } - const auto main_handle = game::Scr_GetFunctionHandle(name.data(), xsk::gsc::h1::resolver::token_id("main")); - const auto init_handle = game::Scr_GetFunctionHandle(name.data(), xsk::gsc::h1::resolver::token_id("init")); + const auto main_handle = game::Scr_GetFunctionHandle(name.data(), gsc_ctx->token_id("main")); + const auto init_handle = game::Scr_GetFunctionHandle(name.data(), gsc_ctx->token_id("init")); if (main_handle) { - console::info("Loaded '%s::main'\n", name.data()); + console::debug("Loaded '%s::main'\n", name.data()); main_handles[name] = main_handle; } if (init_handle) { - console::info("Loaded '%s::init'\n", name.data()); + console::debug("Loaded '%s::init'\n", name.data()); init_handles[name] = init_handle; } } - void load_scripts(const std::filesystem::path& root_dir, const std::filesystem::path& script_dir) + void load_scripts(const std::filesystem::path& root_dir, const std::filesystem::path& subfolder) { - std::filesystem::path script_dir_path = root_dir / script_dir; - if (!utils::io::directory_exists(script_dir_path.generic_string())) + std::filesystem::path script_dir = root_dir / subfolder; + if (!utils::io::directory_exists(script_dir.generic_string())) { return; } - const auto scripts = utils::io::list_files(script_dir_path.generic_string()); + const auto scripts = utils::io::list_files(script_dir.generic_string()); for (const auto& script : scripts) { if (!script.ends_with(".gsc")) @@ -281,25 +282,31 @@ namespace gsc return game::DB_IsXAssetDefault(type, name); } - void gscr_load_gametype_script_stub(void* a1, void* a2) + void load_gametype_script_stub(void* a1, void* a2) { utils::hook::invoke(SELECT_VALUE(0x2B9DA0_b, 0x18BC00_b), a1, a2); - if (game::VirtualLobby_Loaded()) - { - return; - } - for (const auto& path : filesystem::get_search_paths()) { - load_scripts(path, "scripts/"); if (game::environment::is_sp()) { load_scripts(path, "scripts/sp/"); + load_scripts(path, "scripts/"); } else { - load_scripts(path, "scripts/mp/"); + if (!game::VirtualLobby_Loaded()) + { + load_scripts(path, "scripts/mp/"); + load_scripts(path, "scripts/"); + } + + force_load = true; + const auto _0 = gsl::finally([&] + { + force_load = false; + }); + load_scripts(path, "scripts/mp_patches/"); } } } @@ -313,28 +320,48 @@ namespace gsc return; } - utils::hook::invoke(SELECT_VALUE(0x1F1E00_b, 0x396080_b), rawfile, buf, size); + game::DB_GetRawBuffer(rawfile, buf, size); } - void pmem_init_stub() + void scr_begin_load_scripts_stub() { - utils::hook::invoke(SELECT_VALUE(0x420260_b, 0x5A5590_b)); + const bool dev_script = developer_script ? developer_script->current.enabled : false; + const auto comp_mode = dev_script ? + xsk::gsc::build::dev: + xsk::gsc::build::prod; - const auto type_0 = &game::g_scriptmem[0]; - const auto type_1 = &game::g_scriptmem[1]; + gsc_ctx->init(comp_mode, [](const std::string& include_name) + -> std::pair> + { + const auto real_name = get_raw_script_file_name(include_name); - const auto size_0 = 0x100000; // default size - const auto size_1 = 0x100000 + script_memory.size; + std::string file_buffer; + if (!read_raw_script_file(real_name, &file_buffer) || file_buffer.empty()) + { + const auto name = get_script_file_name(include_name); + if (game::DB_XAssetExists(game::ASSET_TYPE_SCRIPTFILE, name.data())) + { + return read_compiled_script_file(name, real_name); + } - const auto block = reinterpret_cast(VirtualAlloc(NULL, size_0 + size_1, MEM_RESERVE, PAGE_READWRITE)); + throw std::runtime_error(std::format("Could not load gsc file '{}'", real_name)); + } - type_0->buf = block; - type_0->size = size_0; + std::vector script_data; + script_data.assign(file_buffer.begin(), file_buffer.end()); - type_1->buf = block + size_0; - type_1->size = size_1; + return {{}, script_data}; + }); - utils::hook::set(SELECT_VALUE(0x420252_b, 0x5A5582_b), size_0 + size_1); + scr_begin_load_scripts_hook.invoke(); + } + + void scr_end_load_scripts_stub() + { + // cleanup the compiler + gsc_ctx->cleanup(); + + scr_end_load_scripts_hook.invoke(); } } @@ -342,7 +369,7 @@ namespace gsc { for (auto& function_handle : main_handles) { - console::info("Executing '%s::main'\n", function_handle.first.data()); + console::debug("Executing '%s::main'\n", function_handle.first.data()); game::RemoveRefToObject(game::Scr_ExecThread(function_handle.second, 0)); } } @@ -351,7 +378,7 @@ namespace gsc { for (auto& function_handle : init_handles) { - console::info("Executing '%s::init'\n", function_handle.first.data()); + console::debug("Executing '%s::init'\n", function_handle.first.data()); game::RemoveRefToObject(game::Scr_ExecThread(function_handle.second, 0)); } } @@ -362,7 +389,7 @@ namespace gsc const auto id = static_cast(std::atoi(name)); if (id) { - real_name = xsk::gsc::h1::resolver::token_name(id); + real_name = gsc_ctx->token_name(id); } auto* script = load_custom_script(name, real_name); @@ -379,53 +406,36 @@ namespace gsc public: void post_unpack() override { - // allow custom scripts to include other custom scripts - xsk::gsc::h1::resolver::init([](const auto& include_name) - { - const auto real_name = include_name + ".gsc"; + // Load our scripts with an uncompressed stack + utils::hook::call(SELECT_VALUE(0x3C7280_b, 0x50E3C0_b), db_get_raw_buffer_stub); - std::string file_buffer; - if (!read_script_file(real_name, &file_buffer) || file_buffer.empty()) - { - const auto name = get_script_file_name(include_name); - if (game::DB_XAssetExists(game::ASSET_TYPE_SCRIPTFILE, name.data())) - { - return decompile_script_file(name, real_name); - } - else - { - throw std::runtime_error(std::format("Could not load gsc file '{}'", real_name)); - } - } + scr_begin_load_scripts_hook.create(SELECT_VALUE(0x3BDB90_b, 0x504BC0_b), scr_begin_load_scripts_stub); + scr_end_load_scripts_hook.create(SELECT_VALUE(0x3BDCC0_b, 0x504CF0_b), scr_end_load_scripts_stub); - std::vector result; - result.assign(file_buffer.begin(), file_buffer.end()); - - return result; - }); - - // hook xasset functions to return our own custom scripts + // ProcessScript: hook xasset functions to return our own custom scripts utils::hook::call(SELECT_VALUE(0x3C7217_b, 0x50E357_b), find_script); utils::hook::call(SELECT_VALUE(0x3C7227_b, 0x50E367_b), db_is_x_asset_default); - // GScr_LoadScripts - utils::hook::call(SELECT_VALUE(0x2BA152_b, 0x18C325_b), gscr_load_gametype_script_stub); + // GScr_LoadScripts: initial loading of scripts + utils::hook::call(SELECT_VALUE(0x2BA152_b, 0x18C325_b), load_gametype_script_stub); - // loads scripts with an uncompressed stack - utils::hook::call(SELECT_VALUE(0x3C7280_b, 0x50E3C0_b), db_get_raw_buffer_stub); - - // Increase script memory - utils::hook::call(SELECT_VALUE(0x38639C_b, 0x15C4D6_b), pmem_init_stub); + // main is called from scripting.cpp + // init is called from scripting.cpp scripting::on_shutdown([](bool free_scripts, bool post_shutdown) { if (free_scripts && post_shutdown) { - xsk::gsc::h1::resolver::cleanup(); clear(); } }); } + + void pre_destroy() override + { + scr_begin_load_scripts_hook.clear(); + scr_end_load_scripts_hook.clear(); + } }; } diff --git a/src/client/component/gsc/script_loading.hpp b/src/client/component/gsc/script_loading.hpp index e42a7e45..8fcdff2c 100644 --- a/src/client/component/gsc/script_loading.hpp +++ b/src/client/component/gsc/script_loading.hpp @@ -1,7 +1,10 @@ #pragma once +#include namespace gsc { + extern std::unique_ptr gsc_ctx; + void load_main_handles(); void load_init_handles(); game::ScriptFile* find_script(game::XAssetType type, const char* name, int allow_create_default); diff --git a/src/client/component/imagefiles.cpp b/src/client/component/imagefiles.cpp new file mode 100644 index 00000000..bd1cdf72 --- /dev/null +++ b/src/client/component/imagefiles.cpp @@ -0,0 +1,230 @@ +#include +#include "loader/component_loader.hpp" + +#include "images.hpp" +#include "console.hpp" +#include "filesystem.hpp" +#include "fastfiles.hpp" +#include "scheduler.hpp" +#include "imagefiles.hpp" + +#include "game/game.hpp" + +#include +#include +#include +#include + +#define CUSTOM_IMAGE_FILE_INDEX 96 + +namespace imagefiles +{ + namespace + { + utils::memory::allocator image_file_allocator; + std::unordered_map image_file_handles; + + std::string get_image_file_name() + { + return fastfiles::get_current_fastfile(); + } + + namespace mp + { + struct image_file_unk + { + char __pad0[120]; + }; + + std::unordered_map image_file_unk_map; + + void* get_image_file_unk_mp(unsigned int index) + { + if (index != CUSTOM_IMAGE_FILE_INDEX) + { + return &reinterpret_cast( + SELECT_VALUE(0x4802090_b, 0x6306770_b))[index]; + } + + const auto name = get_image_file_name(); + if (image_file_unk_map.find(name) == image_file_unk_map.end()) + { + const auto unk = image_file_allocator.allocate(); + image_file_unk_map[name] = unk; + return unk; + } + + return image_file_unk_map[name]; + } + } + + namespace sp + { + struct image_file_unk + { + char __pad0[96]; + }; + + std::unordered_map image_file_unk_map; + + void* get_image_file_unk_mp(unsigned int index) + { + if (index != CUSTOM_IMAGE_FILE_INDEX) + { + return &reinterpret_cast( + SELECT_VALUE(0x4802090_b, 0x6306770_b))[index]; + } + + const auto name = get_image_file_name(); + if (image_file_unk_map.find(name) == image_file_unk_map.end()) + { + const auto unk = image_file_allocator.allocate(); + image_file_unk_map[name] = unk; + return unk; + } + + return image_file_unk_map[name]; + } + } + + game::DB_IFileSysFile* get_image_file_handle(unsigned int index) + { + if (index != CUSTOM_IMAGE_FILE_INDEX) + { + return reinterpret_cast( + SELECT_VALUE(0x4801D80_b, 0x6306180_b))[index]; + } + + const auto name = get_image_file_name(); + return image_file_handles[name]; + } + + void db_create_gfx_image_stream_stub(utils::hook::assembler& a) + { + const auto check_image_file_handle = a.newLabel(); + const auto handle_is_open = a.newLabel(); + + a.movzx(eax, cx); + a.push(rax); + a.push(rax); + a.pushad64(); + a.mov(rcx, rax); + a.call_aligned(SELECT_VALUE(sp::get_image_file_unk_mp, mp::get_image_file_unk_mp)); + a.mov(qword_ptr(rsp, 0x80), rax); + a.popad64(); + a.pop(rax); + a.mov(rsi, rax); + a.pop(rax); + + a.push(rax); + a.push(rax); + a.pushad64(); + a.mov(rcx, rax); + a.call_aligned(get_image_file_handle); + a.mov(qword_ptr(rsp, 0x80), rax); + a.popad64(); + a.pop(rax); + a.mov(r12, rax); + a.pop(rax); + + a.cmp(r12, r13); + a.jnz(handle_is_open); + a.jmp(SELECT_VALUE(0x1FAD49_b, 0x3A0CA5_b)); + + a.bind(handle_is_open); + a.jmp(SELECT_VALUE(0x1FAD99_b, 0x3A0CF5_b)); + } + + void* pakfile_open_stub(void* /*handles*/, unsigned int count, int is_imagefile, + unsigned int index, int is_localized) + { + if (index != CUSTOM_IMAGE_FILE_INDEX) + { + return utils::hook::invoke( + SELECT_VALUE(0x42BC00_b, 0x5B2030_b), + SELECT_VALUE(0x4801D80_b, 0x6306180_b), + count, is_imagefile, index, is_localized + ); + } + + const auto name = get_image_file_name(); + const auto db_fs = *game::db_fs; + const auto handle = db_fs->vftbl->OpenFile(db_fs, + game::SF_PAKFILE, utils::string::va("%s.pak", name.data())); + if (handle != nullptr) + { + image_file_handles[name] = handle; + } + return handle; + } + + int com_sprintf_stub(char* buffer, const int len, const char* fmt, unsigned int index) + { + if (index != CUSTOM_IMAGE_FILE_INDEX) + { + return game::Com_sprintf(buffer, len, fmt, index); + } + + const auto name = get_image_file_name(); + return game::Com_sprintf(buffer, len, "%s.pak", name.data()); + } + } + + void close_custom_handles() + { + const auto db_fs = *game::db_fs; + for (const auto& handle : image_file_handles) + { + if (handle.second != nullptr) + { + db_fs->vftbl->Close(db_fs, handle.second); + } + } + + image_file_handles.clear(); + sp::image_file_unk_map.clear(); + mp::image_file_unk_map.clear(); + image_file_allocator.clear(); + } + + void close_handle(const std::string& fastfile) + { + if (!image_file_handles.contains(fastfile)) + { + return; + } + + const auto db_fs = *game::db_fs; + const auto handle = image_file_handles[fastfile]; + if (handle != nullptr) + { + db_fs->vftbl->Close(db_fs, handle); + } + + image_file_handles.erase(fastfile); + if (game::environment::is_sp()) + { + image_file_allocator.free(sp::image_file_unk_map[fastfile]); + sp::image_file_unk_map.erase(fastfile); + } + else + { + image_file_allocator.free(mp::image_file_unk_map[fastfile]); + mp::image_file_unk_map.erase(fastfile); + } + } + + class component final : public component_interface + { + public: + void post_unpack() override + { + utils::hook::jump(SELECT_VALUE(0x1FAD35_b, 0x3A0C95_b), + utils::hook::assemble(db_create_gfx_image_stream_stub), true); + utils::hook::call(SELECT_VALUE(0x1FAD7B_b, 0x3A0CD7_b), pakfile_open_stub); + utils::hook::call(SELECT_VALUE(0x1FAD5D_b, 0x3A0CB9_b), com_sprintf_stub); + } + }; +} + +REGISTER_COMPONENT(imagefiles::component) diff --git a/src/client/component/imagefiles.hpp b/src/client/component/imagefiles.hpp new file mode 100644 index 00000000..ff309625 --- /dev/null +++ b/src/client/component/imagefiles.hpp @@ -0,0 +1,7 @@ +#pragma once + +namespace imagefiles +{ + void close_custom_handles(); + void close_handle(const std::string& fastfile); +} diff --git a/src/client/component/input.cpp b/src/client/component/input.cpp index ad14ae43..36fbb49e 100644 --- a/src/client/component/input.cpp +++ b/src/client/component/input.cpp @@ -17,15 +17,6 @@ namespace input void cl_char_event_stub(const int local_client_num, const int key) { - if (game::environment::is_sp() && ui_scripting::lui_running()) - { - ui_scripting::notify("keypress", - { - {"keynum", key}, - {"key", game::Key_KeynumToString(key, 0, 1)}, - }); - } - if (!game_console::console_char_event(local_client_num, key)) { return; @@ -36,15 +27,6 @@ namespace input void cl_key_event_stub(const int local_client_num, const int key, const int down) { - if (game::environment::is_sp() && ui_scripting::lui_running()) - { - ui_scripting::notify(down ? "keydown" : "keyup", - { - {"keynum", key}, - {"key", game::Key_KeynumToString(key, 0, 1)}, - }); - } - if (!game_console::console_key_event(local_client_num, key, down)) { return; diff --git a/src/client/component/logger.cpp b/src/client/component/logger.cpp index 80c59025..4db069f5 100644 --- a/src/client/component/logger.cpp +++ b/src/client/component/logger.cpp @@ -96,6 +96,12 @@ namespace logger console::info("%s", buffer); } + + void r_warn_once_per_frame_vsnprintf_stub(char* buffer, size_t buffer_length, char* msg, va_list va) + { + vsnprintf(buffer, buffer_length, msg, va); + console::warn(buffer); + } } class component final : public component_interface @@ -108,7 +114,15 @@ namespace logger // lua stuff utils::hook::jump(SELECT_VALUE(0x106010_b, 0x27CBB0_b), print_dev); // debug utils::hook::jump(SELECT_VALUE(0x107680_b, 0x27E210_b), print_error); // error - utils::hook::jump(SELECT_VALUE(0x0E6E30_b, 0x1F6140_b), printf); // print + utils::hook::jump(SELECT_VALUE(0x0E6E30_b, 0x1F6140_b), print); // print + + if (game::environment::is_mp()) + { + utils::hook::call(0x6BBB81_b, r_warn_once_per_frame_vsnprintf_stub); + + utils::hook::jump(0x498BD0_b, print_warning); // dmWarn + utils::hook::jump(0x498AD0_b, print); // dmLog + } } com_error_hook.create(game::Com_Error, com_error_stub); diff --git a/src/client/component/map_patches.cpp b/src/client/component/map_patches.cpp index 7c59b80c..cac9de29 100644 --- a/src/client/component/map_patches.cpp +++ b/src/client/component/map_patches.cpp @@ -7,6 +7,49 @@ namespace map_patches { + struct GfxLightGridTree + { + unsigned char index; + unsigned char maxDepth; + char unused[2]; + int nodeCount; + int leafCount; + int coordMinGridSpace[3]; + int coordMaxGridSpace[3]; + int coordHalfSizeGridSpace[3]; + int defaultColorIndexBitCount; + int defaultLightIndexBitCount; + unsigned int* p_nodeTable; + int leafTableSize; + unsigned char* p_leafTable; + }; + + enum leaf_table_version : std::int8_t + { + h2 = 0i8, + h1 = 0i8, + s1 = 0i8, + iw6 = 1i8, + }; + + utils::hook::detour r_decode_light_grid_block_hook; + void r_decode_light_grid_block_stub(GfxLightGridTree* p_tree, int child_mask, + char child_index, int encoded_node_address, char* p_node_raw, char* p_leaf_raw) + { + static const auto p_address = 0x6A032E_b + 1; + if (p_tree->unused[0] == leaf_table_version::iw6) + { + utils::hook::set(p_address, 6); // iw6 + } + else + { + utils::hook::set(p_address, 7); // s1,h1,h2 + } + + r_decode_light_grid_block_hook.invoke(p_tree, child_mask, + child_index, encoded_node_address, p_node_raw, p_leaf_raw); + } + class component final : public component_interface { public: @@ -20,6 +63,9 @@ namespace map_patches // skip fx name prefix checks utils::hook::set(0x2F377D_b, 0xEB); // createfx parse utils::hook::set(0x4444E0_b, 0xEB); // scr_loadfx + + // patch iw6 leafTable decoding + r_decode_light_grid_block_hook.create(0x69E7D0_b, r_decode_light_grid_block_stub); } }; } diff --git a/src/client/component/map_rotation.cpp b/src/client/component/map_rotation.cpp index 7b80bebf..1a39c0cb 100644 --- a/src/client/component/map_rotation.cpp +++ b/src/client/component/map_rotation.cpp @@ -3,6 +3,7 @@ #include "command.hpp" #include "console.hpp" +#include "map_rotation.hpp" #include "scheduler.hpp" #include "game/game.hpp" @@ -15,20 +16,23 @@ namespace map_rotation { namespace { - DWORD previous_priority{}; + rotation_data dedicated_rotation; - void set_dvar(const std::string& dvar, const std::string& value) - { - command::execute(utils::string::va("%s \"%s\"", dvar.data(), value.data()), true); - } + const game::dvar_t* sv_map_rotation; + const game::dvar_t* sv_map_rotation_current; + const game::dvar_t* sv_random_map_rotation; void set_gametype(const std::string& gametype) { - set_dvar("g_gametype", gametype); + assert(!gametype.empty()); + + game::Dvar_SetFromStringByNameFromSource("g_gametype", gametype.data(), game::DVAR_SOURCE_INTERNAL); } void launch_map(const std::string& mapname) { + assert(!mapname.empty()); + command::execute(utils::string::va("map %s", mapname.data()), false); } @@ -46,53 +50,103 @@ namespace map_rotation } } - std::string load_current_map_rotation() + void apply_rotation(rotation_data& rotation) { - auto* rotation = game::Dvar_FindVar("sv_mapRotationCurrent"); - if (!strlen(rotation->current.string)) + assert(!rotation.empty()); + + std::size_t i = 0; + while (i < rotation.get_entries_size()) { - rotation = game::Dvar_FindVar("sv_mapRotation"); - set_dvar("sv_mapRotationCurrent", rotation->current.string); - } - - return rotation->current.string; - } - - std::vector parse_current_map_rotation() - { - const auto rotation = load_current_map_rotation(); - return utils::string::split(rotation, ' '); - } - - void store_new_rotation(const std::vector& elements, const size_t index) - { - std::string value{}; - - for (auto i = index; i < elements.size(); ++i) - { - if (i != index) + const auto& entry = rotation.get_next_entry(); + if (entry.first == "map"s) { - value.push_back(' '); + console::info("Loading new map: '%s'\n", entry.second.data()); + if (!game::SV_MapExists(entry.second.data())) + { + console::info("map_rotation: '%s' map doesn't exist!\n", entry.second.data()); + launch_default_map(); + return; + } + + launch_map(entry.second); + + break; } - value.append(elements[i]); - } + if (entry.first == "gametype"s) + { + console::info("Applying new gametype: '%s'\n", entry.second.data()); + set_gametype(entry.second); + } - set_dvar("sv_mapRotationCurrent", value); + ++i; + } } - void change_process_priority() + void load_rotation(const std::string& data) { - auto* const dvar = game::Dvar_FindVar("sv_autoPriority"); - if (dvar && dvar->current.enabled) + static auto loaded = false; + if (loaded) { - scheduler::on_game_initialized([] - { - SetPriorityClass(GetCurrentProcess(), previous_priority); - }, scheduler::pipeline::main, 1s); + return; + } - previous_priority = GetPriorityClass(GetCurrentProcess()); - SetPriorityClass(GetCurrentProcess(), NORMAL_PRIORITY_CLASS); + loaded = true; + try + { + dedicated_rotation.parse(data); + } + catch (const std::exception& ex) + { + console::error("%s: sv_map_rotation contains invalid data!\n", ex.what()); + } + + console::debug("dedicated_rotation size after parsing is '%llu'", dedicated_rotation.get_entries_size()); + } + + void load_map_rotation() + { + const std::string map_rotation = sv_map_rotation->current.string; + if (!map_rotation.empty()) + { + console::debug("sv_map_rotation is not empty. Parsing...\n"); + load_rotation(map_rotation); + } + } + + void apply_map_rotation_current(const std::string& data) + { + assert(!data.empty()); + + rotation_data rotation_current; + + try + { + rotation_current.parse(data); + } + catch (const std::exception& ex) + { + console::error("%s: sv_map_rotation_current contains invalid data!\n", ex.what()); + } + + game::Dvar_SetFromStringByNameFromSource("sv_map_rotation_current", "", game::DVAR_SOURCE_INTERNAL); + + if (rotation_current.empty()) + { + console::warn("sv_map_rotation_current is empty or contains invalid data\n"); + launch_default_map(); + return; + } + + apply_rotation(rotation_current); + } + + void randomize_map_rotation() + { + if (sv_random_map_rotation->current.enabled) + { + console::info("Randomizing map rotation\n"); + dedicated_rotation.randomize(); } } @@ -104,37 +158,28 @@ namespace map_rotation return; } - const auto rotation = parse_current_map_rotation(); + console::info("Rotating map...\n"); - for (size_t i = 0; !rotation.empty() && i < (rotation.size() - 1); i += 2) + // This takes priority because of backwards compatibility + const std::string map_rotation_current = sv_map_rotation_current->current.string; + if (!map_rotation_current.empty()) { - const auto& key = rotation[i]; - const auto& value = rotation[i + 1]; - - if (key == "gametype") - { - set_gametype(value); - } - else if (key == "map") - { - store_new_rotation(rotation, i + 2); - change_process_priority(); - if (!game::SV_MapExists(value.data())) - { - console::info("map_rotation: '%s' map doesn't exist!\n", value.data()); - launch_default_map(); - return; - } - launch_map(value); - return; - } - else - { - console::info("Invalid map rotation key: %s\n", key.data()); - } + console::debug("Applying sv_map_rotation_current\n"); + apply_map_rotation_current(map_rotation_current); + return; } - launch_default_map(); + load_map_rotation(); + if (dedicated_rotation.empty()) + { + console::warn("sv_map_rotation is empty or contains invalid data. Restarting map\n"); + launch_default_map(); + return; + } + + randomize_map_rotation(); + + apply_rotation(dedicated_rotation); } void trigger_map_rotation() @@ -152,6 +197,68 @@ namespace map_rotation } } + rotation_data::rotation_data() + : index_(0) + { + } + + void rotation_data::randomize() + { + std::random_device rd; + std::mt19937 gen(rd()); + + std::ranges::shuffle(this->rotation_entries_, gen); + } + + void rotation_data::add_entry(const std::string& key, const std::string& value) + { + this->rotation_entries_.emplace_back(std::make_pair(key, value)); + } + + bool rotation_data::contains(const std::string& key, const std::string& value) const + { + return std::ranges::any_of(this->rotation_entries_, [&](const auto& entry) + { + return entry.first == key && entry.second == value; + }); + } + + bool rotation_data::empty() const noexcept + { + return this->rotation_entries_.empty(); + } + + std::size_t rotation_data::get_entries_size() const noexcept + { + return this->rotation_entries_.size(); + } + + rotation_data::rotation_entry& rotation_data::get_next_entry() + { + const auto index = this->index_; + ++this->index_ %= this->rotation_entries_.size(); + return this->rotation_entries_.at(index); + } + + void rotation_data::parse(const std::string& data) + { + const auto tokens = utils::string::split(data, ' '); + for (std::size_t i = 0; !tokens.empty() && i < (tokens.size() - 1); i += 2) + { + const auto& key = tokens[i]; + const auto& value = tokens[i + 1]; + + if (key == "map"s || key == "gametype"s) + { + this->add_entry(key, value); + } + else + { + throw parse_rotation_error(); + } + } + } + class component final : public component_interface { public: @@ -164,17 +271,16 @@ namespace map_rotation scheduler::once([] { - dvars::register_string("sv_mapRotation", "", game::DVAR_FLAG_NONE, ""); - dvars::register_string("sv_mapRotationCurrent", "", game::DVAR_FLAG_NONE, ""); - dvars::register_string("sv_autoPriority", "", game::DVAR_FLAG_NONE, "Lowers the process priority during map changes to not cause lags on other servers."); + sv_map_rotation = dvars::register_string("sv_mapRotation", "", game::DVAR_FLAG_NONE, ""); + sv_map_rotation_current = dvars::register_string("sv_mapRotationCurrent", "", game::DVAR_FLAG_NONE, ""); }, scheduler::pipeline::main); + sv_random_map_rotation = dvars::register_bool("sv_randomMapRotation", false, game::DVAR_FLAG_NONE, "Randomize map rotation"); + command::add("map_rotate", &perform_map_rotation); // Hook GScr_ExitLevel utils::hook::jump(0xE2670_b, &trigger_map_rotation, true); // not sure if working - - previous_priority = GetPriorityClass(GetCurrentProcess()); } }; } diff --git a/src/client/component/map_rotation.hpp b/src/client/component/map_rotation.hpp new file mode 100644 index 00000000..ab5d6605 --- /dev/null +++ b/src/client/component/map_rotation.hpp @@ -0,0 +1,34 @@ +#pragma once + +namespace map_rotation +{ + struct parse_rotation_error : public std::exception + { + const char* what() const noexcept override { return "Rotation parse error"; } + }; + + class rotation_data + { + public: + using rotation_entry = std::pair; + + rotation_data(); + + void randomize(); + + // In case a new way to enrich the map rotation is added (other than sv_mapRotation) + // this method should be called to add a new entry (gamemode/map & value) + void add_entry(const std::string& key, const std::string& value); + + [[nodiscard]] bool contains(const std::string& key, const std::string& value) const; + [[nodiscard]] bool empty() const noexcept; + [[nodiscard]] std::size_t get_entries_size() const noexcept; + [[nodiscard]] rotation_entry& get_next_entry(); + + void parse(const std::string& data); + + private: + std::vector rotation_entries_; + std::size_t index_; + }; +} diff --git a/src/client/component/mapents.cpp b/src/client/component/mapents.cpp index eee4297f..f38016e4 100644 --- a/src/client/component/mapents.cpp +++ b/src/client/component/mapents.cpp @@ -3,17 +3,12 @@ #include "game/game.hpp" #include "console.hpp" +#include "filesystem.hpp" #include #include -#include -#include -#include -#include -#include -#include -#include +#include "gsc/script_loading.hpp" namespace mapents { @@ -30,6 +25,7 @@ namespace mapents for (auto i = 0; i < lines.size(); i++) { + auto line_num = i+1; auto line = lines[i]; if (line.ends_with('\r')) { @@ -67,7 +63,7 @@ namespace mapents if (line[0] == '{' && in_map_ent) { - console::error("[map_ents parser] Unexpected '{' on line %i\n", i); + console::error("[map_ents parser] Unexpected '{' on line %i\n", line_num); return {}; } @@ -92,15 +88,15 @@ namespace mapents if (line[0] == '}' && !in_map_ent) { - console::error("[map_ents parser] Unexpected '}' on line %i\n", i); + console::error("[map_ents parser] Unexpected '}' on line %i\n", line_num); return {}; } std::regex expr(R"~((.+) "(.*)")~"); std::smatch match{}; - if (!std::regex_search(line, match, expr)) + if (!std::regex_search(line, match, expr) && !line.empty()) { - console::warn("[map_ents parser] Failed to parse line %i (%s)\n", i, line.data()); + console::warn("[map_ents parser] Failed to parse line %i (%s)\n", line_num, line.data()); continue; } @@ -109,7 +105,7 @@ namespace mapents if (key.size() <= 0) { - console::warn("[map_ents parser] Invalid key ('%s') on line %i (%s)\n", key.data(), i, line.data()); + console::warn("[map_ents parser] Invalid key ('%s') on line %i (%s)\n", key.data(), line_num, line.data()); continue; } @@ -128,10 +124,10 @@ namespace mapents } const auto key_ = key.substr(1, key.size() - 2); - const auto id = xsk::gsc::h1::resolver::token_id(key_); + const auto id = gsc::gsc_ctx->token_id(key_); if (id == 0) { - console::warn("[map_ents parser] Key '%s' not found, on line %i (%s)\n", key_.data(), i, line.data()); + console::warn("[map_ents parser] Key '%s' not found, on line %i (%s)\n", key_.data(), line_num, line.data()); continue; } @@ -141,16 +137,48 @@ namespace mapents return {out_buffer}; } + std::string raw_ents; + bool load_raw_mapents() + { + auto mapents_name = utils::string::va("%s.ents", **reinterpret_cast(SELECT_VALUE(0xB489D40_b, 0xA975F40_b))); + if (filesystem::exists(mapents_name)) + { + try + { + console::debug("Reading raw ents file \"%s\"\n", mapents_name); + raw_ents = filesystem::read_file(mapents_name); + if (!raw_ents.empty()) + { + return true; + } + } + catch (const std::exception& ex) + { + console::error("Failed to read raw ents file \"%s\"\n%s\n", mapents_name, ex.what()); + } + } + return false; + } + std::string entity_string; const char* cm_entity_string_stub() { - if (!entity_string.empty()) + const char* ents = nullptr; + if (load_raw_mapents()) { - return entity_string.data(); + ents = raw_ents.data(); + } + else + { + if (!entity_string.empty()) + { + return entity_string.data(); + } + + ents = utils::hook::invoke(SELECT_VALUE(0x3685C0_b, 0x4CD140_b)); } - const auto original = utils::hook::invoke(SELECT_VALUE(0x3685C0_b, 0x4CD140_b)); - const auto parsed = parse_mapents(original); + const auto parsed = parse_mapents(ents); if (parsed.has_value()) { entity_string = parsed.value(); @@ -158,13 +186,14 @@ namespace mapents } else { - return original; + return ents; } } void cm_unload_stub(void* clip_map) { entity_string.clear(); + raw_ents.clear(); utils::hook::invoke(SELECT_VALUE(0x368560_b, 0x4CD0E0_b), clip_map); } } diff --git a/src/client/component/materials.cpp b/src/client/component/materials.cpp index 371bea53..ee8cce39 100644 --- a/src/client/component/materials.cpp +++ b/src/client/component/materials.cpp @@ -4,6 +4,7 @@ #include "materials.hpp" #include "console.hpp" #include "filesystem.hpp" +#include "scheduler.hpp" #include "game/game.hpp" #include "game/dvars.hpp" @@ -20,123 +21,17 @@ namespace materials namespace { utils::hook::detour db_material_streaming_fail_hook; - utils::hook::detour material_register_handle_hook; utils::hook::detour db_get_material_index_hook; - struct material_data_t - { - std::unordered_map materials; - std::unordered_map images; - }; +#ifdef DEBUG + utils::hook::detour material_compare_hook; + utils::hook::detour set_pixel_texture_hook; + + const game::dvar_t* debug_materials = nullptr; +#endif char constant_table[0x20] = {}; - - utils::concurrency::container material_data; - - game::GfxImage* setup_image(game::GfxImage* image, const utils::image& raw_image) - { - image->imageFormat = 0x1000003; - image->resourceSize = -1; - - D3D11_SUBRESOURCE_DATA data{}; - data.SysMemPitch = raw_image.get_width() * 4; - data.SysMemSlicePitch = data.SysMemPitch * raw_image.get_height(); - data.pSysMem = raw_image.get_buffer(); - - game::Image_Setup(image, raw_image.get_width(), raw_image.get_height(), image->depth, image->numElements, - image->imageFormat, DXGI_FORMAT_R8G8B8A8_UNORM, image->name, &data); - - return image; - } - - game::Material* create_material(const std::string& name, const std::string& data) - { - const auto white = material_register_handle_hook.invoke("white"); - const auto material = utils::memory::get_allocator()->allocate(); - const auto texture_table = utils::memory::get_allocator()->allocate(); - const auto image = utils::memory::get_allocator()->allocate(); - - std::memcpy(material, white, sizeof(game::Material)); - std::memcpy(texture_table, white->textureTable, sizeof(game::MaterialTextureDef)); - std::memcpy(image, white->textureTable->u.image, sizeof(game::GfxImage)); - - material->constantTable = &constant_table; - material->name = utils::memory::get_allocator()->duplicate_string(name); - image->name = material->name; - - material->textureTable = texture_table; - material->textureTable->u.image = setup_image(image, data); - - return material; - } - - void free_material(game::Material* material) - { - material->textureTable->u.image->textures.___u0.map->Release(); - material->textureTable->u.image->textures.shaderView->Release(); - utils::memory::get_allocator()->free(material->textureTable->u.image); - utils::memory::get_allocator()->free(material->textureTable); - utils::memory::get_allocator()->free(material->name); - utils::memory::get_allocator()->free(material); - } - - game::Material* load_material(const std::string& name) - { - return material_data.access([&](material_data_t& data_) -> game::Material* - { - if (const auto i = data_.materials.find(name); i != data_.materials.end()) - { - return i->second; - } - - std::string data{}; - if (const auto i = data_.images.find(name); i != data_.images.end()) - { - data = i->second; - } - - if (data.empty() && !filesystem::read_file(utils::string::va("materials/%s.png", name.data()), &data)) - { - data_.materials[name] = nullptr; - return nullptr; - } - - const auto material = create_material(name, data); - data_.materials[name] = material; - - return material; - }); - } - - game::Material* try_load_material(const std::string& name) - { - if (name == "white") - { - return nullptr; - } - - try - { - return load_material(name); - } - catch (const std::exception& e) - { - console::error("Failed to load material %s: %s\n", name.data(), e.what()); - } - - return nullptr; - } - - game::Material* material_register_handle_stub(const char* name) - { - auto result = try_load_material(name); - if (result == nullptr) - { - result = material_register_handle_hook.invoke(name); - } - return result; - } - + int db_material_streaming_fail_stub(game::Material* material) { if (material->constantTable == &constant_table) @@ -156,40 +51,148 @@ namespace materials return db_get_material_index_hook.invoke(material); } - } - void add(const std::string& name, const std::string& data) - { - material_data.access([&](material_data_t& data_) +#ifdef DEBUG + char material_compare_stub(unsigned int index_a, unsigned int index_b) { - data_.images[name] = data; - }); - } + char result = 0; - bool exists(const std::string& name) - { - return material_data.access([&](material_data_t& data_) - { - return data_.images.find(name) != data_.images.end(); - }); - } - - void clear() - { - material_data.access([&](material_data_t& data_) - { - for (auto& material : data_.materials) + __try { - if (material.second == nullptr) - { - continue; - } - - free_material(material.second); + result = material_compare_hook.invoke(index_a, index_b); + } + __except (EXCEPTION_EXECUTE_HANDLER) + { + const auto* material_a = utils::hook::invoke(0x395FE0_b, index_a); + const auto* material_b = utils::hook::invoke(0x395FE0_b, index_b); + console::error("Material_Compare: %s - %s (%d - %d)", + material_a->name, material_b->name, material_a->info.sortKey, material_b->info.sortKey); } - data_.materials.clear(); - }); + return result; + } + + void print_material(const game::Material* material) + { + if (!debug_materials || !debug_materials->current.enabled) + { + return; + } + + console::debug("current material is \"%s\"\n", material->name); + } + + void print_current_material_stub(utils::hook::assembler& a) + { + const auto loc_6AD59B = a.newLabel(); + + a.pushad64(); + a.mov(rcx, r15); + a.call_aligned(print_material); + a.popad64(); + + a.cmp(byte_ptr(rbx), 5); + a.mov(rax, ptr(r15, 0x130)); + + a.jnz(loc_6AD59B); + a.nop(dword_ptr(rax, rax, 0x00000000)); + + a.jmp(0x6AD570_b); + + a.bind(loc_6AD59B); + a.jmp(0x6AD59B_b); + } + + void set_pixel_texture_stub(void* cmd_buf_state, unsigned int a2, const game::GfxImage* image) + { + if (!debug_materials || !debug_materials->current.enabled) + { + set_pixel_texture_hook.invoke(cmd_buf_state, a2, image); + return; + } + + if (image && image->name) + { + console::debug("set_pixel_texture_stub: \"%s\"\n", image->name); + } + else + { + console::error("set_pixel_texture_stub: texture has no name or is nullptr\n"); + } + + set_pixel_texture_hook.invoke(cmd_buf_state, a2, image); + } +#endif + } + + bool setup_material_image(game::Material* material, const std::string& data) + { + if (*game::d3d11_device == nullptr) + { + console::error("Tried to create texture while d3d11 device isn't initialized\n"); + return false; + } + + const auto image = material->textureTable->u.image; + image->imageFormat = 0x1000003; + image->resourceSize = -1; + + auto raw_image = utils::image{data}; + + D3D11_SUBRESOURCE_DATA resource_data{}; + resource_data.SysMemPitch = raw_image.get_width() * 4; + resource_data.SysMemSlicePitch = resource_data.SysMemPitch * raw_image.get_height(); + resource_data.pSysMem = raw_image.get_buffer(); + + game::Image_Setup(image, raw_image.get_width(), raw_image.get_height(), image->depth, image->numElements, + image->imageFormat, DXGI_FORMAT_R8G8B8A8_UNORM, image->name, &resource_data); + return true; + } + + game::Material* create_material(const std::string& name) + { + const auto white = game::Material_RegisterHandle("$white"); + const auto material = utils::memory::allocate(); + const auto texture_table = utils::memory::allocate(); + const auto image = utils::memory::allocate(); + + std::memcpy(material, white, sizeof(game::Material)); + std::memcpy(texture_table, white->textureTable, sizeof(game::MaterialTextureDef)); + std::memcpy(image, white->textureTable->u.image, sizeof(game::GfxImage)); + + material->constantTable = &constant_table; + material->name = utils::memory::duplicate_string(name); + image->name = material->name; + + image->textures.map = nullptr; + image->textures.shaderView = nullptr; + image->textures.shaderViewAlternate = nullptr; + texture_table->u.image = image; + + material->textureTable = texture_table; + + return material; + } + + void free_material(game::Material* material) + { + const auto try_release = [](T** resource) + { + if (*resource != nullptr) + { + (*resource)->Release(); + *resource = nullptr; + } + }; + + try_release(&material->textureTable->u.image->textures.map); + try_release(&material->textureTable->u.image->textures.shaderView); + try_release(&material->textureTable->u.image->textures.shaderViewAlternate); + + utils::memory::free(material->textureTable->u.image); + utils::memory::free(material->textureTable); + utils::memory::free(material->name); + utils::memory::free(material); } class component final : public component_interface @@ -202,9 +205,23 @@ namespace materials return; } - material_register_handle_hook.create(game::Material_RegisterHandle, material_register_handle_stub); db_material_streaming_fail_hook.create(SELECT_VALUE(0x1FB400_b, 0x3A1600_b), db_material_streaming_fail_stub); db_get_material_index_hook.create(SELECT_VALUE(0x1F1D80_b, 0x396000_b), db_get_material_index_stub); + +#ifdef DEBUG + if (!game::environment::is_sp()) + { + material_compare_hook.create(0x693B90_b, material_compare_stub); + set_pixel_texture_hook.create(0x6B33E0_b, set_pixel_texture_stub); + + utils::hook::jump(0x6AD55C_b, utils::hook::assemble(print_current_material_stub), true); + + scheduler::once([] + { + debug_materials = dvars::register_bool("debug_materials", false, game::DVAR_FLAG_NONE, "Print current material and images"); + }, scheduler::main); + } +#endif } }; } diff --git a/src/client/component/materials.hpp b/src/client/component/materials.hpp index 0c02227f..7ca0ddfa 100644 --- a/src/client/component/materials.hpp +++ b/src/client/component/materials.hpp @@ -1,8 +1,10 @@ #pragma once +#include "game/game.hpp" + namespace materials { - void add(const std::string& name, const std::string& data); - bool exists(const std::string& name); - void clear(); + bool setup_material_image(game::Material* material, const std::string& data); + game::Material* create_material(const std::string& name); + void free_material(game::Material* material); } diff --git a/src/client/component/memory.cpp b/src/client/component/memory.cpp new file mode 100644 index 00000000..e8fdaf8e --- /dev/null +++ b/src/client/component/memory.cpp @@ -0,0 +1,143 @@ +#include +#include "loader/component_loader.hpp" + +#include "memory.hpp" + +#include "game/game.hpp" + +#include +#include + +namespace memory +{ + namespace + { + constexpr auto mem_low_size = 0x80000000ui64 * 2; // default: 0x80000000 + constexpr auto mem_high_size = 0x80000000ui64 * 2; // default: 0x80000000 + + constexpr auto script_mem_low_size = 0x100000ui64; // default: 0x100000 + constexpr auto script_mem_high_size = 0x100000ui64 + custom_script_mem_size; // default: 0x100000 + + constexpr auto phys_mem_low_size = 0x700000000ui64; // default: 0x700000000 + constexpr auto phys_mem_high_size = 0x300000000i64; // default: 0x300000000 + + constexpr auto pmem_alloc_size = + mem_low_size + + mem_high_size + + script_mem_low_size + + script_mem_high_size + + phys_mem_low_size + + phys_mem_high_size; + + constexpr auto mem_low_buf = 0; + constexpr auto mem_high_buf = mem_low_buf + mem_low_size; + + constexpr auto script_mem_low_buf = mem_high_buf + mem_high_size; + constexpr auto script_mem_high_buf = script_mem_low_buf + script_mem_low_size; + + constexpr auto phys_mem_low_buf = script_mem_high_buf + script_mem_high_size; + constexpr auto phys_mem_high_buf = phys_mem_low_buf + phys_mem_low_size; + + constexpr auto stream_mem_size = 0x2000000ui64; + + void pmem_init() + { + const auto size = pmem_alloc_size; + const auto allocated_buffer = VirtualAlloc(NULL, size, MEM_RESERVE, PAGE_READWRITE); + auto buffer = reinterpret_cast(allocated_buffer); + *game::pmem_size = size; + *game::pmem_buffer = buffer; + + memset(game::g_mem, 0, sizeof(*game::g_mem)); + + game::g_mem->prim[game::PHYS_ALLOC_LOW].buf = buffer + mem_low_buf; + game::g_mem->prim[game::PHYS_ALLOC_LOW].pos = mem_low_size; + game::g_mem->prim[game::PHYS_ALLOC_HIGH].buf = buffer + mem_high_buf; + game::g_mem->prim[game::PHYS_ALLOC_HIGH].pos = mem_high_size; + + game::g_mem->prim[game::PHYS_ALLOC_LOW].unk1 = 0; + game::g_mem->prim[game::PHYS_ALLOC_HIGH].unk1 = 0; + + memset(game::g_scriptmem, 0, sizeof(*game::g_scriptmem)); + + game::g_scriptmem->prim[game::PHYS_ALLOC_LOW].buf = buffer + script_mem_low_buf; + game::g_scriptmem->prim[game::PHYS_ALLOC_LOW].pos = script_mem_low_size; + game::g_scriptmem->prim[game::PHYS_ALLOC_HIGH].buf = buffer + script_mem_high_buf; + game::g_scriptmem->prim[game::PHYS_ALLOC_HIGH].pos = script_mem_high_size; + + game::g_scriptmem->prim[game::PHYS_ALLOC_LOW].unk1 = 0; + game::g_scriptmem->prim[game::PHYS_ALLOC_HIGH].unk1 = 0; + + memset(game::g_physmem, 0, sizeof(*game::g_physmem)); + + game::g_physmem->prim[game::PHYS_ALLOC_LOW].buf = buffer + phys_mem_low_buf; + game::g_physmem->prim[game::PHYS_ALLOC_LOW].pos = phys_mem_low_size; + game::g_physmem->prim[game::PHYS_ALLOC_HIGH].buf = buffer + phys_mem_high_buf; + game::g_physmem->prim[game::PHYS_ALLOC_HIGH].pos = phys_mem_high_size; + + game::g_physmem->prim[game::PHYS_ALLOC_LOW].unk1 = 2; + game::g_physmem->prim[game::PHYS_ALLOC_HIGH].unk1 = 2; + + *game::stream_size = stream_mem_size; + *game::stream_buffer = reinterpret_cast(VirtualAlloc(NULL, *game::stream_size, MEM_COMMIT, PAGE_READWRITE)); + } + + void pmem_init_stub() + { + // call our own init + pmem_init(); + + const auto script_mem_size = script_mem_low_size + script_mem_high_size; + utils::hook::set(SELECT_VALUE(0x420252_b, 0x5A5582_b), static_cast(script_mem_size)); + } + } + + namespace + { + int out_of_memory_text_stub(char* dest, int size, const char* fmt, ...) + { + fmt = "%s (%d)\n\n" + "Disable shader caching, lower graphic settings, free up RAM, or update your GPU drivers.\n\n" + "If this still occurs, try using the '-memoryfix' parameter to generate the 'players2' folder."; + + char buffer[2048]; + + { + va_list ap; + va_start(ap, fmt); + + vsnprintf_s(buffer, sizeof(buffer), _TRUNCATE, fmt, ap); + + va_end(ap); + } + + return utils::hook::invoke(SELECT_VALUE(0x429200_b, 0x5AF0F0_b), dest, size, "%s", buffer); + } + } + + class component final : public component_interface + { + public: + void post_unpack() override + { + // patch PMem_Init, so we can use whatever memory size we want + utils::hook::call(SELECT_VALUE(0x38639C_b, 0x15C4D6_b), pmem_init_stub); + + // Com_sprintf for "Out of memory. You are probably low on disk space." + utils::hook::call(SELECT_VALUE(0x457BC9_b, 0x1D8E09_b), out_of_memory_text_stub); + + // "fix" for rare 'Out of memory error' error + // this will *at least* generate the configs for mp/sp, which is the #1 issue + if (utils::flags::has_flag("memoryfix")) + { + utils::hook::jump(SELECT_VALUE(0x5110D0_b, 0x6200C0_b), malloc); + utils::hook::jump(SELECT_VALUE(0x510FF0_b, 0x61FFE0_b), _aligned_malloc); + utils::hook::jump(SELECT_VALUE(0x511130_b, 0x620120_b), free); + utils::hook::jump(SELECT_VALUE(0x511220_b, 0x620210_b), realloc); + utils::hook::jump(SELECT_VALUE(0x511050_b, 0x620040_b), _aligned_realloc); + } + } + }; +} + +REGISTER_COMPONENT(memory::component) \ No newline at end of file diff --git a/src/client/component/memory.hpp b/src/client/component/memory.hpp new file mode 100644 index 00000000..2d430224 --- /dev/null +++ b/src/client/component/memory.hpp @@ -0,0 +1,6 @@ +#pragma once + +namespace memory +{ + constexpr auto custom_script_mem_size = 0x1000000ui64; +} diff --git a/src/client/component/mods.cpp b/src/client/component/mods.cpp index aad8c6ac..cfabb84d 100644 --- a/src/client/component/mods.cpp +++ b/src/client/component/mods.cpp @@ -5,12 +5,14 @@ #include "command.hpp" #include "console.hpp" +#include "dvars.hpp" #include "filesystem.hpp" #include "fonts.hpp" #include "localized_strings.hpp" #include "materials.hpp" #include "mods.hpp" #include "scheduler.hpp" +#include "game/demonware/services.hpp" #include #include @@ -28,7 +30,6 @@ namespace mods { if (release_assets) { - materials::clear(); fonts::clear(); } @@ -53,8 +54,11 @@ namespace mods { if (game::environment::is_mp()) { - // vid_restart works on multiplayer, but not on singleplayer command::execute("vid_restart"); + scheduler::once([] + { + mods::read_stats(); + }, scheduler::main); return; } @@ -69,32 +73,37 @@ namespace mods return utils::io::file_exists(path + "/mod.ff") || utils::io::file_exists(path + "/zone/mod.ff"); } - void set_filesystem_data(const std::string& path) + void set_filesystem_data(const std::string& path, bool change_fs_game) { if (mod_path.has_value()) { filesystem::unregister_path(mod_path.value()); } - if (!game::environment::is_sp()) + if (change_fs_game) { - // modify fs_game on mp/dedi because its not set when we obviously vid_restart (sp does a full relaunch with command line arguments) - game::Dvar_SetFromStringByNameFromSource("fs_game", path.data(), - game::DVAR_SOURCE_INTERNAL); + game::Dvar_SetFromStringByNameFromSource("fs_game", path.data(), game::DVAR_SOURCE_INTERNAL); + } + + if (path != "") + { + filesystem::register_path(path); } } } - void set_mod(const std::string& path) + void set_mod(const std::string& path, bool change_fs_game) { - set_filesystem_data(path); - mod_path = path; - } + set_filesystem_data(path, change_fs_game); - void clear_mod() - { - set_filesystem_data(""); - mod_path.reset(); + if (path != "") + { + mod_path = path; + } + else + { + mod_path.reset(); + } } std::optional get_mod() @@ -102,6 +111,12 @@ namespace mods return mod_path; } + void read_stats() + { + demonware::set_storage_path(mod_path.value_or("")); + utils::hook::invoke(0x4E6B60_b, 0); // read stats + } + class component final : public component_interface { public: @@ -114,6 +129,12 @@ namespace mods db_release_xassets_hook.create(SELECT_VALUE(0x1F4DB0_b, 0x399740_b), db_release_xassets_stub); + dvars::callback::on_new_value("fs_game", [](game::dvar_value* value) + { + console::warn("fs_game value changed to '%s'\n", value->string); + set_mod(value->string, false); + }); + command::add("loadmod", [](const command::params& params) { if (params.size() < 2) @@ -143,7 +164,7 @@ namespace mods mod_requires_restart(path)) { console::info("Restarting...\n"); - full_restart("+set fs_game \""s + path + "\""); + full_restart("-mod \""s + path + "\""); } else { @@ -171,12 +192,12 @@ namespace mods if (mod_requires_restart(mod_path.value())) { console::info("Restarting...\n"); - clear_mod(); + set_mod(""); full_restart(""); } else { - clear_mod(); + set_mod(""); restart(); } }); diff --git a/src/client/component/mods.hpp b/src/client/component/mods.hpp index 6359a7ab..950e2c23 100644 --- a/src/client/component/mods.hpp +++ b/src/client/component/mods.hpp @@ -2,7 +2,7 @@ namespace mods { - void set_mod(const std::string& path); - void clear_mod(); + void set_mod(const std::string& path, bool change_fs_game = true); std::optional get_mod(); -} \ No newline at end of file + void read_stats(); +} diff --git a/src/client/component/motd.cpp b/src/client/component/motd.cpp new file mode 100644 index 00000000..0b8400c1 --- /dev/null +++ b/src/client/component/motd.cpp @@ -0,0 +1,37 @@ +#include +#include "loader/component_loader.hpp" + +#include "materials.hpp" + +#include "game/game.hpp" + +#include + +namespace motd +{ + class component final : public component_interface + { + public: + void post_load() override + { + std::thread([] + { + //auto data = utils::http::get_data("https://h1.gg/data/motd.png"); + //if (data.has_value()) + //{ + // materials::add("motd_image", data.value().buffer); + //} + }).detach(); + } + + void post_unpack() override + { + if (game::environment::is_sp()) + { + return; + } + } + }; +} + +REGISTER_COMPONENT(motd::component) \ No newline at end of file diff --git a/src/client/component/movement.cpp b/src/client/component/movement.cpp index e1b52750..85177539 100644 --- a/src/client/component/movement.cpp +++ b/src/client/component/movement.cpp @@ -112,7 +112,7 @@ namespace movement const auto ps = pm->ps; - ps->sprintButtonUpRequired = 1; + ps->sprintState.sprintButtonUpRequired = 1; float fmove{}, smove{}, wishspeed{}; game::vec3_t wishvel{}, wishdir{}; diff --git a/src/client/component/party.cpp b/src/client/component/party.cpp index a136f8b6..0ccf100b 100644 --- a/src/client/component/party.cpp +++ b/src/client/component/party.cpp @@ -11,11 +11,14 @@ #include "fastfiles.hpp" #include "mods.hpp" +#include "game/dvars.hpp" #include "game/game.hpp" #include "game/ui_scripting/execution.hpp" #include "steam/steam.hpp" +#include "utils/hash.hpp" + #include #include #include @@ -23,19 +26,14 @@ #include #include +#include + namespace party { namespace { - struct - { - game::netadr_s host{}; - std::string challenge{}; - bool hostDefined{false}; - } connect_state; - - std::string sv_motd; - int sv_maxclients; + connection_state server_connection_state{}; + std::optional server_discord_info{}; struct usermap_file { @@ -44,11 +42,20 @@ namespace party bool optional; }; + // snake case these names before release std::vector usermap_files = { - {".ff", "usermaphash", false}, - {"_load.ff", "usermaploadhash", true}, - {".arena", "usermaparenahash", true}, + {".ff", "usermap_hash", false}, + {"_load.ff", "usermap_load_hash", true}, + {".arena", "usermap_arena_hash", true}, + {".pak", "usermap_pak_hash", true}, + }; + + std::vector mod_files = + { + {".ff", "mod_hash", false}, + {"_pre_gfx.ff", "mod_pre_gfx_hash", true}, + {".pak", "mod_pak_hash", true}, }; struct @@ -57,6 +64,8 @@ namespace party utils::info_string info_string{}; } saved_info_response; + const game::dvar_t* sv_say_name = nullptr; + void perform_game_initialization() { command::execute("onlinegame 1", true); @@ -149,11 +158,11 @@ namespace party const char* get_didyouknow_stub(void* table, int row, int column) { - if (party::sv_motd.empty()) + if (server_connection_state.motd.empty()) { return utils::hook::invoke(0x5A0AC0_b, table, row, column); } - return utils::string::va("%s", party::sv_motd.data()); + return utils::string::va("%s", server_connection_state.motd.data()); } void disconnect() @@ -188,26 +197,46 @@ namespace party std::string get_file_hash(const std::string& file) { - if (!utils::io::file_exists(file)) - { - return {}; - } - const auto iter = hash_cache.find(file); if (iter != hash_cache.end()) { return iter->second; } - const auto data = utils::io::read_file(file); - const auto sha = utils::cryptography::sha1::compute(data, true); - hash_cache[file] = sha; - return sha; + const auto hash = utils::hash::get_file_hash(file); + if (!hash.empty()) + { + hash_cache.insert(std::make_pair(file, hash)); + } + + return hash; } std::string get_usermap_file_path(const std::string& mapname, const std::string& extension) { - return utils::string::va("usermaps\\%s\\%s%s", mapname.data(), mapname.data(), extension.data()); + return std::format("usermaps\\{}\\{}{}", mapname, mapname, extension); + } + + // generate hashes so they are cached + void generate_hashes(const std::string& mapname) + { + // usermap + for (const auto& file : usermap_files) + { + const auto path = get_usermap_file_path(mapname, file.extension); + get_file_hash(path); + } + + // mod + const auto fs_game = get_dvar_string("fs_game"); + if (!fs_game.empty()) + { + for (const auto& file : mod_files) + { + const auto path = std::format("{}\\mod{}", fs_game, file.extension); + get_file_hash(path); + } + } } void check_download_map(const utils::info_string& info, std::vector& files) @@ -223,21 +252,23 @@ namespace party throw std::runtime_error(utils::string::va("Invalid server mapname value %s\n", mapname.data())); } - const auto check_file = [&](const std::string& ext, const std::string& name, bool optional) + const auto check_file = [&](const usermap_file& file) { - const std::string filename = utils::string::va("usermaps/%s/%s%s", mapname.data(), mapname.data(), ext.data()); - const auto source_hash = info.get(name); + const std::string filename = utils::string::va("usermaps/%s/%s%s", + mapname.data(), mapname.data(), file.extension.data()); + const auto source_hash = info.get(file.name); if (source_hash.empty()) { - if (!optional) + if (!file.optional) { - throw std::runtime_error(utils::string::va("Server %s is empty", name.data())); + throw std::runtime_error(utils::string::va("Server %s is empty", file.name.data())); } return; } const auto hash = get_file_hash(filename); + console::debug("hash != source_hash => %s != %s\n", source_hash.data(), hash.data()); if (hash != source_hash) { files.emplace_back(filename, source_hash); @@ -245,9 +276,9 @@ namespace party } }; - for (const auto& [ext, name, opt] : usermap_files) + for (const auto& file : usermap_files) { - check_file(ext, name, opt); + check_file(file); } } @@ -264,7 +295,7 @@ namespace party if (server_fs_game.empty() && !client_fs_game.empty()) { - mods::clear_mod(); + mods::set_mod(""); return true; } @@ -273,35 +304,52 @@ namespace party throw std::runtime_error(utils::string::va("Invalid server fs_game value %s\n", server_fs_game.data())); } - const auto source_hash = info.get("modHash"); - if (source_hash.empty()) + auto needs_restart = false; + for (const auto& file : mod_files) { - throw std::runtime_error("Connection failed: Server mod hash is empty."); + const auto source_hash = info.get(file.name); + if (source_hash.empty()) + { + if (file.optional) + { + continue; + } + + throw std::runtime_error( + utils::string::va("Connection failed: Server %s is empty.", file.name.data())); + } + + const auto file_path = server_fs_game + "/mod" + file.extension; + auto has_to_download = !utils::io::file_exists(file_path); + + if (!has_to_download) + { + const auto hash = get_file_hash(file_path); + console::debug("has_to_download = %s != %s\n", source_hash.data(), hash.data()); + has_to_download = source_hash != hash; + } + + if (has_to_download) + { + // unload mod before downloading it + if (client_fs_game == server_fs_game) + { + mods::set_mod("", true); + return true; + } + else + { + files.emplace_back(file_path, source_hash); + } + } + else if (client_fs_game != server_fs_game) + { + mods::set_mod(server_fs_game); + needs_restart = true; + } } - const auto mod_path = server_fs_game + "/mod.ff"; - auto has_to_download = !utils::io::file_exists(mod_path); - - if (!has_to_download) - { - const auto data = utils::io::read_file(mod_path); - const auto hash = utils::cryptography::sha1::compute(data, true); - - has_to_download = source_hash != hash; - } - - if (has_to_download) - { - files.emplace_back(mod_path, source_hash); - return false; - } - else if (client_fs_game != server_fs_game) - { - mods::set_mod(server_fs_game); - return true; - } - - return false; + return needs_restart; } void close_joining_popups() @@ -404,6 +452,7 @@ namespace party needs_vid_restart = false; scheduler::once([=]() { + mods::read_stats(); connect(target); }, scheduler::pipeline::main); return true; @@ -428,21 +477,21 @@ namespace party fastfiles::set_usermap(mapname); - for (const auto& [ext, key, opt] : usermap_files) + for (const auto& file : usermap_files) { char buffer[0x100] = {0}; const std::string source_hash = game::MSG_ReadStringLine(msg, buffer, static_cast(sizeof(buffer))); - const auto path = get_usermap_file_path(mapname, ext); + const auto path = get_usermap_file_path(mapname, file.extension); const auto hash = get_file_hash(path); - if ((!source_hash.empty() && hash != source_hash) || (source_hash.empty() && !opt)) + if ((!source_hash.empty() && hash != source_hash) || (source_hash.empty() && !file.optional)) { command::execute("disconnect"); scheduler::once([] { - connect(connect_state.host); + connect(server_connection_state.host); }, scheduler::pipeline::main); return; } @@ -473,6 +522,12 @@ namespace party hash_cache.clear(); current_sv_mapname = map; + + if (game::environment::is_dedi()) + { + generate_hashes(map); + } + utils::hook::invoke(0x54BBB0_b, map, a2, a3, a4, a5); } @@ -496,19 +551,14 @@ namespace party line(current_sv_mapname); line(sv_gametype->current.string); - const auto add_hash = [&](const std::string extension) - { - const auto filename = get_usermap_file_path(current_sv_mapname, extension); - const auto hash = get_file_hash(filename); - line(hash); - }; - const auto is_usermap = fastfiles::usermap_exists(current_sv_mapname); - for (const auto& [ext, key, opt] : usermap_files) + for (const auto& file : usermap_files) { if (is_usermap) { - add_hash(ext); + const auto filename = get_usermap_file_path(current_sv_mapname, file.extension); + const auto hash = get_file_hash(filename); + line(hash); } else { @@ -557,7 +607,7 @@ namespace party void clear_sv_motd() { - party::sv_motd.clear(); + server_connection_state.motd.clear(); } int get_client_num_by_name(const std::string& name) @@ -579,9 +629,9 @@ namespace party return -1; } - void reset_connect_state() + void reset_server_connection_state() { - connect_state = {}; + server_connection_state = {}; } int get_client_count() @@ -634,16 +684,11 @@ namespace party command::execute("lui_open_popup popup_acceptinginvite", false); - connect_state.host = target; - connect_state.challenge = utils::cryptography::random::get_challenge(); - connect_state.hostDefined = true; + server_connection_state.host = target; + server_connection_state.challenge = utils::cryptography::random::get_challenge(); + server_connection_state.hostDefined = true; - network::send(target, "getInfo", connect_state.challenge); - } - - game::netadr_s get_state_host() - { - return connect_state.host; + network::send(target, "getInfo", server_connection_state.challenge); } void start_map(const std::string& mapname, bool dev) @@ -705,9 +750,14 @@ namespace party } } - int server_client_count() + connection_state get_server_connection_state() { - return party::sv_maxclients; + return server_connection_state; + } + + std::optional get_server_discord_info() + { + return server_discord_info; } class component final : public component_interface @@ -720,7 +770,7 @@ namespace party return; } - // detour CL_Disconnect to clear motd + // clear motd & usermap cl_disconnect_hook.create(0x12F080_b, cl_disconnect_stub); if (game::environment::is_mp()) @@ -792,7 +842,7 @@ namespace party command::add("reconnect", [](const command::params& argument) { - if (!connect_state.hostDefined) + if (!server_connection_state.hostDefined) { console::info("Cannot connect to server.\n"); return; @@ -805,7 +855,7 @@ namespace party } else { - connect(connect_state.host); + connect(server_connection_state.host); } }); @@ -908,8 +958,7 @@ namespace party scheduler::once([]() { - const auto hash = game::generateHashValue("sv_sayName"); - game::Dvar_RegisterString(hash, "sv_sayName", "console", game::DvarFlags::DVAR_FLAG_NONE); + sv_say_name = dvars::register_string("sv_sayName", "console", game::DvarFlags::DVAR_FLAG_NONE, "Custom name for RCON console"); }, scheduler::pipeline::main); command::add("tell", [](const command::params& params) @@ -921,7 +970,7 @@ namespace party const auto client_num = atoi(params.get(1)); const auto message = params.join(2); - const auto* const name = game::Dvar_FindVar("sv_sayName")->current.string; + const auto* const name = sv_say_name->current.string; game::SV_GameSendServerCommand(client_num, game::SV_CMD_CAN_IGNORE, utils::string::va("%c \"%s: %s\"", 84, name, message.data())); @@ -951,7 +1000,7 @@ namespace party } const auto message = params.join(1); - const auto* const name = game::Dvar_FindVar("sv_sayName")->current.string; + const auto* const name = sv_say_name->current.string; game::SV_GameSendServerCommand( -1, game::SV_CMD_CAN_IGNORE, utils::string::va("%c \"%s: %s\"", 84, name, message.data())); @@ -972,6 +1021,17 @@ namespace party console::info("%s\n", message.data()); }); + command::add("hash", [](const command::params& params) + { + if (params.size() < 2) + { + return; + } + + const auto hash = get_file_hash(params.get(1)); + console::info("hash output: %s\n", hash.data()); + }); + network::on("getInfo", [](const game::netadr_s& target, const std::string& data) { const auto mapname = get_dvar_string("mapname"); @@ -993,19 +1053,16 @@ namespace party info.set("sv_running", utils::string::va("%i", get_dvar_bool("sv_running") && !game::VirtualLobby_Loaded())); info.set("dedicated", utils::string::va("%i", get_dvar_bool("dedicated"))); info.set("sv_wwwBaseUrl", get_dvar_string("sv_wwwBaseUrl")); + info.set("sv_discordImageUrl", get_dvar_string("sv_discordImageUrl")); + info.set("sv_discordImageText", get_dvar_string("sv_discordImageText")); if (!fastfiles::is_stock_map(mapname)) { - const auto add_hash = [&](const std::string& extension, const std::string& name) + for (const auto& file : usermap_files) { - const auto path = get_usermap_file_path(mapname, extension); + const auto path = get_usermap_file_path(mapname, file.extension); const auto hash = get_file_hash(path); - info.set(name, hash); - }; - - for (const auto& [ext, name, opt] : usermap_files) - { - add_hash(ext, name); + info.set(file.name, hash); } } @@ -1014,8 +1071,12 @@ namespace party if (!fs_game.empty()) { - const auto hash = get_file_hash(utils::string::va("%s/mod.ff", fs_game.data())); - info.set("modHash", hash); + for (const auto& file : mod_files) + { + const auto hash = get_file_hash(utils::string::va("%s/mod%s", + fs_game.data(), file.extension.data())); + info.set(file.name, hash); + } } network::send(target, "infoResponse", info.build(), '\n'); @@ -1026,7 +1087,7 @@ namespace party const utils::info_string info(data); server_list::handle_info_response(target, info); - if (connect_state.host != target) + if (server_connection_state.host != target) { return; } @@ -1035,7 +1096,14 @@ namespace party saved_info_response.host = target; saved_info_response.info_string = info; - if (info.get("challenge") != connect_state.challenge) + const auto protocol = info.get("protocol"); + if (std::atoi(protocol.data()) != PROTOCOL) + { + menu_error("Connection failed: Invalid protocol."); + return; + } + + if (info.get("challenge") != server_connection_state.challenge) { menu_error("Connection failed: Invalid challenge."); return; @@ -1081,8 +1149,17 @@ namespace party return; } - party::sv_motd = info.get("sv_motd"); - party::sv_maxclients = std::stoi(info.get("sv_maxclients")); + server_connection_state.motd = info.get("sv_motd"); + server_connection_state.max_clients = std::stoi(info.get("sv_maxclients")); + server_connection_state.base_url = info.get("sv_wwwBaseUrl"); + + discord_information discord_info{}; + discord_info.image = info.get("sv_discordImageUrl"); + discord_info.image_text = info.get("sv_discordImageText"); + if (!discord_info.image.empty() || !discord_info.image_text.empty()) + { + server_discord_info.emplace(discord_info); + } connect_to_party(target, mapname, gametype); }); @@ -1090,4 +1167,4 @@ namespace party }; } -REGISTER_COMPONENT(party::component) \ No newline at end of file +REGISTER_COMPONENT(party::component) diff --git a/src/client/component/party.hpp b/src/client/component/party.hpp index ca4852b2..a9c387bf 100644 --- a/src/client/component/party.hpp +++ b/src/client/component/party.hpp @@ -3,19 +3,34 @@ namespace party { - std::string get_www_url(); + struct connection_state + { + game::netadr_s host; + std::string challenge; + bool hostDefined; + std::string motd; + int max_clients; + std::string base_url; + }; + + struct discord_information + { + std::string image; + std::string image_text; + }; + void user_download_response(bool response); void menu_error(const std::string& error); - void reset_connect_state(); + void reset_server_connection_state(); void connect(const game::netadr_s& target); void start_map(const std::string& mapname, bool dev = false); void clear_sv_motd(); - game::netadr_s get_state_host(); - int server_client_count(); + connection_state get_server_connection_state(); + std::optional get_server_discord_info(); int get_client_num_by_name(const std::string& name); diff --git a/src/client/component/patches.cpp b/src/client/component/patches.cpp index 1dfd1b8f..c1dce5eb 100644 --- a/src/client/component/patches.cpp +++ b/src/client/component/patches.cpp @@ -68,7 +68,7 @@ namespace patches void cg_set_client_dvar_from_server_stub(void* clientNum, void* cgameGlob, const char* dvar_hash, const char* value) { - int hash = atoi(dvar_hash); + const auto hash = std::atoi(dvar_hash); auto* dvar = game::Dvar_FindMalleableVar(hash); if (hash == game::generateHashValue("cg_fov") || @@ -192,7 +192,7 @@ namespace patches void sv_execute_client_message_stub(game::mp::client_t* client, game::msg_t* msg) { - if (client->reliableAcknowledge < 0) + if ((client->reliableSequence - client->reliableAcknowledge) < 0) { client->reliableAcknowledge = client->reliableSequence; console::info("Negative reliableAcknowledge from %s - cl->reliableSequence is %i, reliableAcknowledge is %i\n", @@ -223,7 +223,7 @@ namespace patches utils::hook::detour init_network_dvars_hook; void init_network_dvars_stub(game::dvar_t* dvar) { - static const auto hash = game::generateHashValue("r_tonemapHighlightRange"); + constexpr auto hash = dvars::generate_hash("r_tonemapHighlightRange"); if (dvar->hash == hash) { init_network_dvars_hook.invoke(dvar); @@ -244,26 +244,6 @@ namespace patches } } - int out_of_memory_text_stub(char* dest, int size, const char* fmt, ...) - { - fmt = "%s (%d)\n\n" - "Disable shader caching, lower graphic settings, free up RAM, or update your GPU drivers.\n\n" - "If this still occurs, try using the '-memoryfix' parameter to generate the 'players2' folder."; - - char buffer[2048]; - - { - va_list ap; - va_start(ap, fmt); - - vsnprintf_s(buffer, sizeof(buffer), _TRUNCATE, fmt, ap); - - va_end(ap); - } - - return utils::hook::invoke(SELECT_VALUE(0x429200_b, 0x5AF0F0_b), dest, size, "%s", buffer); - } - void create_2d_texture_stub_1(const char* fmt, ...) { fmt = "Create2DTexture( %s, %i, %i, %i, %i ) failed\n\n" @@ -351,9 +331,18 @@ namespace patches dvars::override::register_float("cg_fovScale", 1.f, 0.1f, 2.f, game::DvarFlags::DVAR_FLAG_SAVED); dvars::override::register_float("cg_fovMin", 1.f, 1.0f, 90.f, game::DvarFlags::DVAR_FLAG_SAVED); + // Enable Marketing Comms + dvars::override::register_int("marketing_active", 1, 1, 1, game::DVAR_FLAG_WRITE); + + // Makes com_maxfps saved dvar + dvars::override::register_int("com_maxfps", 0, 0, 1000, game::DVAR_FLAG_SAVED); + // Makes mis_cheat saved dvar dvars::override::register_bool("mis_cheat", 0, game::DVAR_FLAG_SAVED); + // Fix speaker config bug + dvars::override::register_int("snd_detectedSpeakerConfig", 0, 0, 100, 0); + // Allow kbam input when gamepad is enabled utils::hook::nop(SELECT_VALUE(0x1AC0CE_b, 0x135EFB_b), 2); utils::hook::nop(SELECT_VALUE(0x1A9DDC_b, 0x13388F_b), 6); @@ -368,18 +357,6 @@ namespace patches utils::hook::call(SELECT_VALUE(0x55E919_b, 0x681A69_b), create_2d_texture_stub_1); // Sys_Error for "Create2DTexture( %s, %i, %i, %i, %i ) failed" utils::hook::call(SELECT_VALUE(0x55EACB_b, 0x681C1B_b), create_2d_texture_stub_2); // Com_Error for ^ utils::hook::call(SELECT_VALUE(0x5B35BA_b, 0x6CB1BC_b), swap_chain_stub); // Com_Error for "IDXGISwapChain::Present failed: %s" - utils::hook::call(SELECT_VALUE(0x457BC9_b, 0x1D8E09_b), out_of_memory_text_stub); // Com_sprintf for "Out of memory. You are probably low on disk space." - - // "fix" for rare 'Out of memory error' error - // this will *at least* generate the configs for mp/sp, which is the #1 issue - if (utils::flags::has_flag("memoryfix")) - { - utils::hook::jump(SELECT_VALUE(0x5110D0_b, 0x6200C0_b), malloc); - utils::hook::jump(SELECT_VALUE(0x510FF0_b, 0x61FFE0_b), _aligned_malloc); - utils::hook::jump(SELECT_VALUE(0x511130_b, 0x620120_b), free); - utils::hook::jump(SELECT_VALUE(0x511220_b, 0x620210_b), realloc); - utils::hook::jump(SELECT_VALUE(0x511050_b, 0x620040_b), _aligned_realloc); - } // Uncheat protect gamepad-related dvars dvars::override::register_float("gpad_button_deadzone", 0.13f, 0, 1, game::DVAR_FLAG_SAVED); @@ -438,7 +415,7 @@ namespace patches // prevent servers overriding our fov utils::hook::nop(0x17DA96_b, 0x16); utils::hook::nop(0xE00BE_b, 0x17); - utils::hook::set(0x307F39_b, 0xEB); + utils::hook::nop(0x307F90_b, 0x5); // don't change cg_fov when toggling third person spectating // make setclientdvar behave like older games cg_set_client_dvar_from_server_hook.create(0x11AA90_b, cg_set_client_dvar_from_server_stub); @@ -474,8 +451,6 @@ namespace patches dvars::override::register_bool("ui_drawCrosshair", true, game::DVAR_FLAG_WRITE); utils::hook::jump(0x1E6010_b, ui_draw_crosshair); - dvars::override::register_int("com_maxfps", 0, 0, 1000, game::DVAR_FLAG_SAVED); - // Prevent clients from ending the game as non host by sending 'end_game' lui notification cmd_lui_notify_server_hook.create(0x412D50_b, cmd_lui_notify_server_stub); @@ -497,4 +472,4 @@ namespace patches }; } -REGISTER_COMPONENT(patches::component) \ No newline at end of file +REGISTER_COMPONENT(patches::component) diff --git a/src/client/component/redirect.cpp b/src/client/component/redirect.cpp index e44be742..1fa38f44 100644 --- a/src/client/component/redirect.cpp +++ b/src/client/component/redirect.cpp @@ -21,10 +21,10 @@ namespace redirect ZeroMemory(&process_info, sizeof(process_info)); startup_info.cb = sizeof(startup_info); - auto* arguments = const_cast(utils::string::va("%s%s%s", self.get_path().data(), + auto* arguments = const_cast(utils::string::va("%s%s%s", self.get_path().generic_string().data(), (singleplayer ? " -singleplayer" : " -multiplayer"), (mode.empty() ? "" : (" +"s + mode).data()))); - CreateProcessA(self.get_path().data(), arguments, nullptr, nullptr, false, NULL, nullptr, nullptr, + CreateProcessA(self.get_path().generic_string().data(), arguments, nullptr, nullptr, false, NULL, nullptr, nullptr, &startup_info, &process_info); if (process_info.hThread && process_info.hThread != INVALID_HANDLE_VALUE) diff --git a/src/client/component/renderer.cpp b/src/client/component/renderer.cpp index f2758790..3c0e8b0e 100644 --- a/src/client/component/renderer.cpp +++ b/src/client/component/renderer.cpp @@ -132,6 +132,21 @@ namespace renderer a.jmp(0x1C4136_b); }); } + + void r_preload_shaders_stub(utils::hook::assembler& a) + { + const auto is_zero = a.newLabel(); + + a.mov(rax, qword_ptr(SELECT_VALUE(0x123FFF30_b, 0x111DC230_b))); + a.test(rax, rax); + a.jz(is_zero); + + a.mov(rcx, qword_ptr(rax, 0x540C68)); + a.jmp(SELECT_VALUE(0x5CF1FF_b, 0x6E76FF_b)); + + a.bind(is_zero); + a.jmp(SELECT_VALUE(0x5CF20A_b, 0x6E7722_b)); + } } class component final : public component_interface @@ -166,6 +181,10 @@ namespace renderer r_use_custom_red_dot_brightness = dvars::register_bool("r_useCustomRedDotBrightness", true, game::DVAR_FLAG_SAVED, "Use custom red-dot brightness values"); } + + // patch r_preloadShaders crash at init + utils::hook::jump(SELECT_VALUE(0x5CF1F1_b, 0x6E76F1_b), utils::hook::assemble(r_preload_shaders_stub), true); + dvars::override::register_bool("r_preloadShaders", false, game::DVAR_FLAG_SAVED); } }; } diff --git a/src/client/component/scripting.cpp b/src/client/component/scripting.cpp index 3f9e9ad9..6b9e1b35 100644 --- a/src/client/component/scripting.cpp +++ b/src/client/component/scripting.cpp @@ -28,6 +28,7 @@ namespace scripting utils::concurrency::container shared_table; std::string current_file; + unsigned int current_file_id{}; namespace { @@ -46,8 +47,7 @@ namespace scripting utils::hook::detour db_find_xasset_header_hook; - std::string current_script_file; - unsigned int current_file_id{}; + const char* current_script_file_name; game::dvar_t* g_dump_scripts; @@ -63,7 +63,7 @@ namespace scripting const auto* string = game::SL_ConvertToString(string_value); if (string) { - event e; + event e{}; e.name = string; e.entity = notify_list_owner_id; @@ -97,20 +97,16 @@ namespace scripting game::G_LogPrintf("InitGame\n"); lua::engine::start(); - - gsc::load_main_handles(); } + gsc::load_main_handles(); + g_load_structs_hook.invoke(); } void scr_load_level_stub() { - if (!game::VirtualLobby_Loaded()) - { - gsc::load_init_handles(); - } - + gsc::load_init_handles(); scr_load_level_hook.invoke(); } @@ -157,12 +153,13 @@ namespace scripting void process_script_stub(const char* filename) { - current_script_file = filename; + current_script_file_name = filename; const auto file_id = atoi(filename); if (file_id) { current_file_id = static_cast(file_id); + current_file = scripting::get_token(current_file_id); } else { @@ -176,14 +173,10 @@ namespace scripting void add_function_sort(unsigned int id, const char* pos) { std::string filename = current_file; - if (current_file_id) - { - filename = scripting::get_token(current_file_id); - } if (!script_function_table_sort.contains(filename)) { - const auto script = gsc::find_script(game::ASSET_TYPE_SCRIPTFILE, current_script_file.data(), false); + const auto script = gsc::find_script(game::ASSET_TYPE_SCRIPTFILE, current_script_file_name, false); if (script) { const auto end = &script->bytecode[script->bytecodeLen]; @@ -207,15 +200,7 @@ namespace scripting { add_function_sort(thread_name, code_pos); - if (current_file_id) - { - const auto name = get_token(current_file_id); - add_function(name, thread_name, code_pos); - } - else - { - add_function(current_file, thread_name, code_pos); - } + add_function(current_file, thread_name, code_pos); scr_set_thread_position_hook.invoke(thread_name, code_pos); } diff --git a/src/client/component/scripting.hpp b/src/client/component/scripting.hpp index 12598b9c..14f2bd49 100644 --- a/src/client/component/scripting.hpp +++ b/src/client/component/scripting.hpp @@ -13,6 +13,7 @@ namespace scripting extern utils::concurrency::container shared_table; extern std::string current_file; + extern unsigned int current_file_id; void on_shutdown(const std::function& callback); std::optional get_canonical_string(const unsigned int id); diff --git a/src/client/component/server_list.cpp b/src/client/component/server_list.cpp index 7dc1bde8..e3577e2e 100644 --- a/src/client/component/server_list.cpp +++ b/src/client/component/server_list.cpp @@ -33,6 +33,7 @@ namespace server_list std::string host_name; std::string map_name; std::string game_type; + std::string mod_name; game::CodPlayMode play_mode; char in_game; game::netadr_s address; @@ -76,7 +77,7 @@ namespace server_list server_list_page = 0; } - party::reset_connect_state(); + party::reset_server_connection_state(); if (get_master_server(master_state.address)) { @@ -131,39 +132,29 @@ namespace server_list return ""; } - if (column == 0) + switch (column) { - return servers[i].host_name.empty() ? "" : utils::string::va("%s", servers[i].host_name.data()); - } - - if (column == 1) - { - return servers[i].map_name.empty() ? "Unknown" : utils::string::va("%s", servers[i].map_name.data()); - } - - if (column == 2) + case 0: + return servers[i].host_name.empty() ? "" : servers[i].host_name.data(); + case 1: + return servers[i].map_name.empty() ? "Unknown" : servers[i].map_name.data(); + case 2: { const auto client_count = servers[i].clients - servers[i].bots; return utils::string::va("%d/%d [%d]", client_count, servers[i].max_clients, servers[i].clients); } - - if (column == 3) - { - return servers[i].game_type.empty() ? "" : utils::string::va("%s", servers[i].game_type.data()); - } - - if (column == 4) - { - return servers[i].game_type.empty() ? "" : utils::string::va("%i", servers[i].ping); - } - - if (column == 5) - { + case 3: + return servers[i].game_type.empty() ? "" : servers[i].game_type.data(); + case 4: + return servers[i].ping ? utils::string::va("%i", servers[i].ping) : "999"; + case 5: return servers[i].is_private ? "1" : "0"; + case 6: + return servers[i].mod_name.empty() ? "" : servers[i].mod_name.data(); + default: + return ""; } - - return ""; } void sort_serverlist() @@ -325,6 +316,13 @@ namespace server_list void handle_info_response(const game::netadr_s& address, const utils::info_string& info) { + // Don't show servers that aren't using the same protocol! + const auto protocol = std::atoi(info.get("protocol").data()); + if (protocol != PROTOCOL) + { + return; + } + // Don't show servers that aren't dedicated! const auto dedicated = std::atoi(info.get("dedicated").data()); if (!dedicated) @@ -372,6 +370,7 @@ namespace server_list server.host_name = info.get("hostname"); server.map_name = game::UI_GetMapDisplayName(info.get("mapname").data()); server.game_type = game::UI_GetGameTypeDisplayName(info.get("gametype").data()); + server.mod_name = info.get("fs_game"); server.play_mode = playmode; server.clients = atoi(info.get("clients").data()); server.max_clients = atoi(info.get("sv_maxclients").data()); @@ -411,7 +410,7 @@ namespace server_list scheduler::once([]() { // add dvars to change destination master server ip/port - master_server_ip = dvars::register_string("masterServerIP", "h1.fed0001.xyz", game::DVAR_FLAG_NONE, + master_server_ip = dvars::register_string("masterServerIP", "h1.fed.cat", game::DVAR_FLAG_NONE, "IP of the destination master server to connect to"); master_server_port = dvars::register_string("masterServerPort", "20810", game::DVAR_FLAG_NONE, "Port of the destination master server to connect to"); diff --git a/src/client/component/thirdperson.cpp b/src/client/component/thirdperson.cpp new file mode 100644 index 00000000..2c6359ba --- /dev/null +++ b/src/client/component/thirdperson.cpp @@ -0,0 +1,84 @@ +#include +#include "loader/component_loader.hpp" + +#include "game/game.hpp" +#include "game/dvars.hpp" + +#include "scheduler.hpp" + +#include + +namespace thirdperson +{ + namespace + { + game::dvar_t* cg_thirdPerson = nullptr; + game::dvar_t* cg_thirdPersonRange = nullptr; + game::dvar_t* cg_thirdPersonAngle = nullptr; + + namespace mp + { + __int64 sub_1D5950_stub([[maybe_unused]] int local_client_num, game::mp::cg_s* a2) + { + auto next_snap = a2->nextSnap; + if (next_snap->ps.pm_type < 7u) + { + int link_flags = next_snap->ps.linkFlags; + if ((link_flags & 2) == 0 && (next_snap->ps.otherFlags & 4) == 0) + { + auto client_globals = a2; + if (!client_globals->unk_979676 || !client_globals->unk_979696) + { + if (cg_thirdPerson && cg_thirdPerson->current.enabled) + { + return 1; + } + + if (!(link_flags & (1 << 0xE)) || client_globals->unk_979696) + return (link_flags >> 27) & 1; + if (link_flags & (1 << 0x1D)) + return 0; + if (!(link_flags & (1 << 0x1C))) + return a2->unk_601088; + } + } + } + return 1; + } + + void sub_10C280_stub(int local_client_num, float angle, float range, int a4, int a5, int a6, int a7) + { + angle = cg_thirdPersonAngle->current.value; + range = cg_thirdPersonRange->current.value; + utils::hook::invoke(0x10C280_b, local_client_num, angle, range, a4, a5, a6, a7); + } + } + + } + + class component final : public component_interface + { + public: + void post_unpack() override + { + if (!game::environment::is_mp()) + { + return; + } + + scheduler::once([]() + { + cg_thirdPerson = dvars::register_bool("cg_thirdPerson", 0, 4, "Use third person view"); + cg_thirdPersonAngle = dvars::register_float("cg_thirdPersonAngle", 356.0f, -180.0f, 360.0f, 4, + "The angle of the camera from the player in third person view"); + cg_thirdPersonRange = dvars::register_float("cg_thirdPersonRange", 120.0f, 0.0f, 1024, 4, + "The range of the camera from the player in third person view"); + }, scheduler::main); + + utils::hook::jump(0x1D5950_b, mp::sub_1D5950_stub); + utils::hook::call(0x10C26B_b, mp::sub_10C280_stub); + } + }; +} + +REGISTER_COMPONENT(thirdperson::component) diff --git a/src/client/component/ui_scripting.cpp b/src/client/component/ui_scripting.cpp index 1fcfb1d1..bfb8730d 100644 --- a/src/client/component/ui_scripting.cpp +++ b/src/client/component/ui_scripting.cpp @@ -9,6 +9,7 @@ #include "localized_strings.hpp" #include "console.hpp" +#include "discord.hpp" #include "download.hpp" #include "game_module.hpp" #include "fps.hpp" @@ -33,6 +34,8 @@ #include "steam/steam.hpp" +#include + namespace ui_scripting { namespace @@ -318,7 +321,7 @@ namespace ui_scripting game_type["virtuallobbypresentable"] = [](const game&) { - ::game::Dvar_SetFromStringByNameFromSource("virtualLobbyPresentable", "1", ::game::DvarSetSource::DVAR_SOURCE_INTERNAL); + ::game::Dvar_SetFromStringByNameFromSource("virtualLobbyPresentable", "1", ::game::DVAR_SOURCE_INTERNAL); }; game_type["getcurrentgamelanguage"] = [](const game&) @@ -332,6 +335,29 @@ namespace ui_scripting material.data())); }; + game_type["getcommandbind"] = [](const game&, const std::string& cmd) + { + const auto binding = ::game::Key_GetBindingForCmd(cmd.data()); + auto key = -1; + for (auto i = 0; i < 256; i++) + { + if (::game::playerKeys[0].keys[i].binding == binding) + { + key = i; + } + } + + if (key == -1) + { + return ::game::UI_SafeTranslateString("KEY_UNBOUND"); + } + else + { + const auto loc_string = ::game::Key_KeynumToString(key, 1, 0); + return ::game::UI_SafeTranslateString(loc_string); + } + }; + auto server_list_table = table(); lua["serverlist"] = server_list_table; @@ -367,7 +393,29 @@ namespace ui_scripting download_table["abort"] = download::stop_download; download_table["userdownloadresponse"] = party::user_download_response; - download_table["getwwwurl"] = party::get_www_url; + download_table["getwwwurl"] = party::get_server_connection_state().base_url; + + auto discord_table = table(); + lua["discord"] = discord_table; + + discord_table["respond"] = discord::respond; + + discord_table["getavatarmaterial"] = [](const std::string& id) + -> script_value + { + const auto material = discord::get_avatar_material(id); + if (material == nullptr) + { + return {}; + } + + return lightuserdata(material); + }; + + discord_table["reply"] = table(); + discord_table["reply"]["yes"] = DISCORD_REPLY_YES; + discord_table["reply"]["ignore"] = DISCORD_REPLY_IGNORE; + discord_table["reply"]["no"] = DISCORD_REPLY_NO; } void start() @@ -379,7 +427,26 @@ namespace ui_scripting setup_functions(); - lua["print"] = function(reinterpret_cast(SELECT_VALUE(0x93490_b, 0x209EB0_b))); + lua["print"] = [](const variadic_args& va) + { + std::string buffer{}; + const auto to_string = get_globals()["tostring"]; + + for (auto i = 0; i < va.size(); i++) + { + const auto& arg = va[i]; + const auto str = to_string(arg)[0].as(); + buffer.append(str); + + if (i < va.size() - 1) + { + buffer.append("\t"); + } + } + + console::info("%s\n", buffer.data()); + }; + lua["table"]["unpack"] = lua["unpack"]; lua["luiglobals"] = lua; @@ -553,6 +620,8 @@ namespace ui_scripting return; } + dvars::register_bool("r_preloadShadersFrontendAllow", true, game::DVAR_FLAG_SAVED, "Allow shader popup on startup"); + utils::hook::call(SELECT_VALUE(0xE7419_b, 0x25E809_b), db_find_x_asset_header_stub); utils::hook::call(SELECT_VALUE(0xE72CB_b, 0x25E6BB_b), db_find_x_asset_header_stub); diff --git a/src/client/component/updater.cpp b/src/client/component/updater.cpp index dcb44584..7d56e769 100644 --- a/src/client/component/updater.cpp +++ b/src/client/component/updater.cpp @@ -14,13 +14,12 @@ #include #include -#include #include #include #include #include -#define MASTER "https://master.fed0001.xyz/h1-mod/" +#define MASTER "https://h1-mod.fed.cat/" #define FILES_PATH "files.json" #define FILES_PATH_DEV "files-dev.json" @@ -161,10 +160,17 @@ namespace updater { return utils::string::va("%i", uint32_t(time(nullptr))); } - - std::optional download_file(const std::string& name) + + std::optional download_data_file(const std::string& name) { - return utils::http::get_data(MASTER + select(DATA_PATH, DATA_PATH_DEV) + name + "?" + get_time_str()); + const auto file = std::format("{}{}?{}", select(DATA_PATH, DATA_PATH_DEV), name, get_time_str()); + return updater::get_server_file(file); + } + + std::optional download_file_list() + { + const auto file = std::format("{}?{}", select(FILES_PATH, FILES_PATH_DEV), get_time_str()); + return updater::get_server_file(file); } bool has_old_data_files() @@ -301,6 +307,34 @@ namespace updater } } + std::optional get_server_file(const std::string& endpoint) + { + static std::vector server_urls = + { + {"https://h1-mod.fed.cat/"}, + {"https://master.fed0001.xyz/h1-mod/"}, // remove this at some point + }; + + const auto try_url = [&](const std::string& base_url) + { + const auto url = base_url + endpoint; + console::debug("[HTTP] GET file \"%s\"\n", url.data()); + const auto result = utils::http::get_data(url); + return result; + }; + + for (const auto& url : server_urls) + { + const auto result = try_url(url); + if (result.has_value()) + { + return result; + } + } + + return {}; + } + void relaunch() { const auto mode = game::environment::is_mp() ? "-multiplayer" : "-singleplayer"; @@ -406,7 +440,7 @@ namespace updater scheduler::once([]() { - const auto files_data = utils::http::get_data(MASTER + select(FILES_PATH, FILES_PATH_DEV) + "?" + get_time_str()); + const auto files_data = download_file_list(); if (is_update_cancelled()) { @@ -546,7 +580,7 @@ namespace updater console::debug("[Updater] downloading file %s\n", file.data()); - const auto data = download_file(file); + const auto data = download_data_file(file); if (is_update_cancelled()) { diff --git a/src/client/component/updater.hpp b/src/client/component/updater.hpp index 0301a6c3..ba8039c2 100644 --- a/src/client/component/updater.hpp +++ b/src/client/component/updater.hpp @@ -2,8 +2,12 @@ #define CLIENT_DATA_FOLDER "cdata" +#include + namespace updater { + std::optional get_server_file(const std::string& endpoint); + void relaunch(); void set_has_tried_update(bool tried); diff --git a/src/client/component/weapon.cpp b/src/client/component/weapon.cpp index e7e2342f..3b2c1713 100644 --- a/src/client/component/weapon.cpp +++ b/src/client/component/weapon.cpp @@ -6,8 +6,10 @@ #include "fastfiles.hpp" #include "game/game.hpp" +#include "game/dvars.hpp" #include +#include namespace weapon { @@ -37,27 +39,38 @@ namespace weapon // precache items for (std::size_t i = 0; i < weapons.size(); i++) { - console::debug("precaching weapon \"%s\"\n", weapons[i]->name); + //console::debug("precaching weapon \"%s\"\n", weapons[i]->name); game::G_GetWeaponForName(weapons[i]->name); } } utils::hook::detour xmodel_get_bone_index_hook; - __int64 xmodel_get_bone_index_stub(game::XModel* model, game::scr_string_t name, unsigned int offset, char* index) + int xmodel_get_bone_index_stub(game::XModel* model, game::scr_string_t name, unsigned int offset, char* index) { - auto result = xmodel_get_bone_index_hook.invoke<__int64>(model, name, offset, index); - if (!result) + auto result = xmodel_get_bone_index_hook.invoke(model, name, offset, index); + if (result) { - if (name == game::SL_GetString("tag_weapon_right", 0) || - name == game::SL_GetString("tag_knife_attach", 0)) + return result; + } + + const auto original_index = *index; + const auto original_result = result; + + if (name == game::SL_FindString("tag_weapon_right") || + name == game::SL_FindString("tag_knife_attach")) + { + const auto tag_weapon = game::SL_FindString("tag_weapon"); + result = xmodel_get_bone_index_hook.invoke(model, tag_weapon, offset, index); + if (result) { - result = xmodel_get_bone_index_hook.invoke<__int64>(model, game::SL_GetString("tag_weapon", 0), offset, index); - if (result) - { - console::debug("using tag_weapon instead of %s (%s, %d)\n", game::SL_ConvertToString(name), model->name, offset); - } + console::debug("using tag_weapon instead of %s (%s, %d, %d)\n", game::SL_ConvertToString(name), model->name, offset, *index); + return result; } } + + *index = original_index; + result = original_result; + return result; } @@ -116,6 +129,131 @@ namespace weapon { set_weapon_field(weapon_name, field, value); } + + int compare_hash(const void* a, const void* b) + { + const auto hash_a = reinterpret_cast( + reinterpret_cast(a))->hash; + const auto hash_b = reinterpret_cast( + reinterpret_cast(b))->hash; + + if (hash_a < hash_b) + { + return -1; + } + else if (hash_a > hash_b) + { + return 1; + } + + return 0; + } + + utils::memory::allocator ddl_allocator; + std::unordered_set modified_enums; + + std::vector get_stringtable_entries(const std::string& name) + { + std::vector entries; + + const auto string_table = game::DB_FindXAssetHeader( + game::ASSET_TYPE_STRINGTABLE, name.data(), false).stringTable; + + if (string_table == nullptr) + { + return entries; + } + + for (auto row = 0; row < string_table->rowCount; row++) + { + if (string_table->columnCount <= 0) + { + continue; + } + + const auto index = (row * string_table->columnCount); + const auto weapon = string_table->values[index].string; + entries.push_back(ddl_allocator.duplicate_string(weapon)); + } + + return entries; + } + + void add_entries_to_enum(game::DDLEnum* enum_, const std::vector entries) + { + if (entries.size() <= 0) + { + return; + } + + const auto new_size = enum_->memberCount + entries.size(); + const auto members = ddl_allocator.allocate_array(new_size); + const auto hash_list = ddl_allocator.allocate_array(new_size); + + std::memcpy(members, enum_->members, 8 * enum_->memberCount); + std::memcpy(hash_list, enum_->hashTable.list, 8 * enum_->hashTable.count); + + for (auto i = 0; i < entries.size(); i++) + { + const auto hash = utils::hook::invoke(0x794FB0_b, entries[i], 0); + const auto index = enum_->memberCount + i; + hash_list[index].index = index; + hash_list[index].hash = hash; + members[index] = entries[i]; + } + + std::qsort(hash_list, new_size, sizeof(game::DDLHash), compare_hash); + + enum_->members = members; + enum_->hashTable.list = hash_list; + enum_->memberCount = static_cast(new_size); + enum_->hashTable.count = static_cast(new_size); + } + + void load_ddl_asset_stub(game::DDLRoot** asset) + { + const auto root = *asset; + if (!root->ddlDef) + { + return utils::hook::invoke(0x39BE20_b, root); + } + + auto ddl_def = root->ddlDef; + while (ddl_def) + { + for (auto i = 0; i < ddl_def->enumCount; i++) + { + const auto enum_ = &ddl_def->enumList[i]; + if (modified_enums.contains(enum_)) + { + continue; + } + + if ((enum_->name == "WeaponStats"s || enum_->name == "Weapon"s)) + { + const auto weapons = get_stringtable_entries("mp/customweapons.csv"); + add_entries_to_enum(enum_, weapons); + modified_enums.insert(enum_); + } + + if (enum_->name == "AttachmentBase"s) + { + const auto attachments = get_stringtable_entries("mp/customattachments.csv"); + add_entries_to_enum(enum_, attachments); + modified_enums.insert(enum_); + } + } + + ddl_def = ddl_def->next; + } + + utils::hook::invoke(0x39BE20_b, asset); + } + } + + void clear_modifed_enums() + { + modified_enums.clear(); } class component final : public component_interface @@ -137,6 +275,11 @@ namespace weapon // patch attachment configstring so it will create if not found utils::hook::call(0x41C595_b, g_find_config_string_index_stub); + + utils::hook::call(0x36B4D4_b, load_ddl_asset_stub); + + dvars::register_bool("sv_disableCustomClasses", + false, game::DVAR_FLAG_REPLICATED, "Disable custom classes on server"); } #ifdef DEBUG diff --git a/src/client/component/weapon.hpp b/src/client/component/weapon.hpp new file mode 100644 index 00000000..f0033b2e --- /dev/null +++ b/src/client/component/weapon.hpp @@ -0,0 +1,6 @@ +#pragma once + +namespace weapon +{ + void clear_modifed_enums(); +} \ No newline at end of file diff --git a/src/client/game/demonware/data_types.hpp b/src/client/game/demonware/data_types.hpp index 9b6a909b..8d1bb377 100644 --- a/src/client/game/demonware/data_types.hpp +++ b/src/client/game/demonware/data_types.hpp @@ -237,4 +237,29 @@ namespace demonware buffer->read_string(&this->filename); } }; + + class bdMarketingMessage final : public bdTaskResult + { + public: + uint64_t m_messageID; + std::string m_languageCode; + std::string m_content; + std::string m_metadata; + + void serialize(byte_buffer* buffer) override + { + buffer->write_uint64(this->m_messageID); + buffer->write_string(this->m_languageCode); + buffer->write_blob(this->m_content); + buffer->write_blob(this->m_metadata); + } + + void deserialize(byte_buffer* buffer) override + { + buffer->read_uint64(&this->m_messageID); + buffer->read_string(&this->m_languageCode); + buffer->read_blob(&this->m_content); + buffer->read_blob(&this->m_metadata); + } + }; } diff --git a/src/client/game/demonware/services/bdMarketingComms.cpp b/src/client/game/demonware/services/bdMarketingComms.cpp index 409b278a..aa6ac61c 100644 --- a/src/client/game/demonware/services/bdMarketingComms.cpp +++ b/src/client/game/demonware/services/bdMarketingComms.cpp @@ -1,4 +1,6 @@ #include + +#include #include "../services.hpp" namespace demonware @@ -7,11 +9,71 @@ namespace demonware { this->register_task(1, &bdMarketingComms::getMessages); this->register_task(4, &bdMarketingComms::reportFullMessagesViewed); + this->register_task(5, &bdMarketingComms::getMessages_); } void bdMarketingComms::getMessages(service_server* server, byte_buffer* /*buffer*/) const { - // TODO: + /*auto reply = server->create_reply(this->task_id()); + + const int timeout = 7; // seconds + + std::optional motd_content; + std::optional featured_content; + std::optional featured2_content; + + auto get_motd = [&motd_content]() + { + motd_content = utils::http::get_data("https://h1.gg/data/motd.json", {}, {}, {}, timeout); + }; + auto get_featured = [&featured_content]() + { + featured_content = utils::http::get_data("https://h1.gg/data/featured.json", {}, {}, {}, timeout); + }; + auto get_featured2 = [&featured2_content]() + { + featured2_content = utils::http::get_data("https://h1.gg/data/featured2.json", {}, {}, {}, timeout); + }; + + std::thread get_motd_thread(get_motd); + std::thread get_featured_thread(get_featured); + std::thread get_featured2_thread(get_featured2); + + get_motd_thread.join(); + get_featured_thread.join(); + get_featured2_thread.join(); + + if (motd_content.has_value()) + { + const auto motd = new bdMarketingMessage; + motd->m_messageID = 1; + motd->m_languageCode = "en-US"; + motd->m_content = motd_content.value().buffer.data(); + motd->m_metadata = "{}"; + reply->add(motd); + } + + if (featured_content.has_value()) + { + const auto featured = new bdMarketingMessage; + featured->m_messageID = 2; + featured->m_languageCode = "en-US"; + featured->m_content = featured_content.value().buffer.data(); + featured->m_metadata = "{}"; + reply->add(featured); + } + + if (featured2_content.has_value()) + { + const auto featured2 = new bdMarketingMessage; + featured2->m_messageID = 3; + featured2->m_languageCode = "en-US"; + featured2->m_content = featured2_content.value().buffer.data(); + featured2->m_metadata = "{}"; + reply->add(featured2); + } + + reply->send();*/ auto reply = server->create_reply(this->task_id()); reply->send(); } @@ -22,4 +84,11 @@ namespace demonware auto reply = server->create_reply(this->task_id()); reply->send(); } + + void bdMarketingComms::getMessages_(service_server* server, byte_buffer* /*buffer*/) const + { + // TODO: + auto reply = server->create_reply(this->task_id()); + reply->send(); + } } diff --git a/src/client/game/demonware/services/bdMarketingComms.hpp b/src/client/game/demonware/services/bdMarketingComms.hpp index c973d7ae..8a4aa007 100644 --- a/src/client/game/demonware/services/bdMarketingComms.hpp +++ b/src/client/game/demonware/services/bdMarketingComms.hpp @@ -10,5 +10,6 @@ namespace demonware private: void getMessages(service_server* server, byte_buffer* buffer) const; void reportFullMessagesViewed(service_server* server, byte_buffer* buffer) const; + void getMessages_(service_server* server, byte_buffer* buffer) const; }; } diff --git a/src/client/game/demonware/services/bdStorage.cpp b/src/client/game/demonware/services/bdStorage.cpp index b5a80925..047f8a64 100644 --- a/src/client/game/demonware/services/bdStorage.cpp +++ b/src/client/game/demonware/services/bdStorage.cpp @@ -7,8 +7,16 @@ #include "game/game.hpp" +#include "../../../component/mods.hpp" + namespace demonware { + std::string storage_path; + void set_storage_path(const std::string& path) + { + storage_path = path; + } + bdStorage::bdStorage() : service(10, "bdStorage") { this->register_task(20, &bdStorage::list_publisher_files); @@ -162,7 +170,31 @@ namespace demonware std::string bdStorage::get_user_file_path(const std::string& name) { - return "players2/user/" + name; + const auto regular_path = "players2/user/"; + if (storage_path.empty()) + { + return regular_path + name; + } + + const auto custom_path = regular_path + storage_path + "/"; + if (!utils::io::directory_exists(custom_path)) + { + utils::io::create_directory(custom_path); + const auto copy_file = [&](const std::string& name) + { + const auto file_path = regular_path + name; + if (utils::io::file_exists(file_path)) + { + const auto data = utils::io::read_file(file_path); + utils::io::write_file(custom_path + name, data, false); + } + }; + + copy_file("commondata"); + copy_file("mpdata"); + } + + return custom_path + name; } void bdStorage::upload_and_validate_files(service_server* server, byte_buffer* buffer) const diff --git a/src/client/game/demonware/services/bdStorage.hpp b/src/client/game/demonware/services/bdStorage.hpp index e34036fb..58dcbd80 100644 --- a/src/client/game/demonware/services/bdStorage.hpp +++ b/src/client/game/demonware/services/bdStorage.hpp @@ -2,6 +2,8 @@ namespace demonware { + void set_storage_path(const std::string& path); + class bdStorage final : public service { public: diff --git a/src/client/game/dvars.cpp b/src/client/game/dvars.cpp index 739a087a..035d1588 100644 --- a/src/client/game/dvars.cpp +++ b/src/client/game/dvars.cpp @@ -10,6 +10,8 @@ namespace dvars { + std::unordered_map dvar_map; + game::dvar_t* aimassist_enabled = nullptr; game::dvar_t* con_inputBoxColor = nullptr; @@ -176,11695 +178,54 @@ namespace dvars } } - constexpr int generate_hash(const char* string) + std::int32_t generate_hash(const std::string& string) { - const char* v1; - char v2, v6; - int v4, v5, v7; - char* end_ptr; - - v1 = string; - v2 = *string; - - if (v2 == 48 && v1[1] == 120) - { - return strtoul(v1 + 2, &end_ptr, 16); - } - - v4 = v2; - - if ((v2 - 65) <= 0x19u) - { - v4 = v2 + 32; - } - - v5 = 0xB3CB2E29 * static_cast(v4 ^ 0x319712C3); - - if (v2) - { - do - { - v6 = *++v1; - v7 = v6; - if ((v6 - 65) <= 0x19u) - { - v7 = v6 + 32; - } - - v5 = 0xB3CB2E29 * static_cast(v5 ^ v7); - } - while (v6); - } - - return v5; + return generate_hash(string.data()); } - std::vector dvar_list = + void insert_dvar_info(const std::int32_t hash, const std::string& name, const std::string& description) { - { - "ai_count", - "Sets AI count.", - generate_hash("ai_count") - }, - { - "accessToSubscriberContent", - "Whether to display the subscriber maps.", - generate_hash("accessToSubscriberContent") - }, - { - "aci", - "", - generate_hash("aci") - }, - { - "actionSlotsHide", - "Hide the actionslots.", - generate_hash("actionSlotsHide") - }, - { - "ai_grenadeReturn_approachMinDot", - "Minimal dot product between the approach and throw vectors to perform a grenade return", - generate_hash("ai_grenadeReturn_approachMinDot") - }, - { - "ai_grenadeReturn_debug", - "Turns on debug info for AI grenade returns", - generate_hash("ai_grenadeReturn_debug") - }, - { - "ai_grenadeReturn_extraFuseTime", - "The amount of time (in ms) to add to a grenade fuse when trying to return grenade that's below minFuseTime", - generate_hash("ai_grenadeReturn_extraFuseTime") - }, - { - "ai_grenadeReturn_minDistSqr", - "Minimal distance to a grenade to consider it for a return so that transition anims will play", - generate_hash("ai_grenadeReturn_minDistSqr") - }, - { - "ai_grenadeReturn_minFuseTime", - "If the fuse time drops below this value when an ally is attempting to return a grenade, add extra fuse time", - generate_hash("ai_grenadeReturn_minFuseTime") - }, - { - "ai_grenadeReturn_stationary", - "If set, AI will attempt to return grenades that they are within pickup distance - regardless of min dist", - generate_hash("ai_grenadeReturn_stationary") - }, - { - "ai_grenadeReturn_traceToGrenade", - "If set, AI will only attempt to return grenades when they have a clear sight trace to the grenade", - generate_hash("ai_grenadeReturn_traceToGrenade") - }, - { - "ai_threatUpdateInterval", - "AI target threat update interval in milliseconds", - generate_hash("ai_threatUpdateInterval") - }, - { - "aim_autoaim_enabled", - "", - generate_hash("aim_autoaim_enabled") - }, - { - "aim_target_sentient_radius", - "The radius used to calculate target bounds for a sentient(actor or player)", - generate_hash("aim_target_sentient_radius") - }, - { - "ammoCounterHide", - "Hide the Ammo Counter", - generate_hash("ammoCounterHide") - }, - { - "armory_contentpacks_enabled", - "Allowed armory content packs. 0: none , 1: first armory content pack enabled, 2: first and second armory content pack enabled", - generate_hash("armory_contentpacks_enabled") - }, - { - "badHost_detectMinServerTime", - "Time in MS before the bad host dection system kicks in after match start", - generate_hash("badHost_detectMinServerTime") - }, - { - "badhost_maxDoISuckFrames", - "Max lagged frames need to end match", - generate_hash("badhost_maxDoISuckFrames") - }, - { - "band_12players", - "12 player bandwidth req'd", - generate_hash("band_12players") - }, - { - "band_18players", - "18 player bandwidth req'd", - generate_hash("band_18players") - }, - { - "band_2players", - "2 player bandwidth req'd", - generate_hash("band_2players") - }, - { - "band_4players", - "4 player bandwidth req'd", - generate_hash("band_4players") - }, - { - "band_8players", - "8 player bandwidth req'd", - generate_hash("band_8players") - }, - { - "bg_allowScuffFootsteps", - "If true, scuff sounds will be played when the player rotates in place.", - generate_hash("bg_allowScuffFootsteps") - }, - { - "bg_bulletExplDmgFactor", - "Weapon damage multiplier that will be applied at the center of the slash damage area.", - generate_hash("bg_bulletExplDmgFactor") - }, - { - "bg_bulletExplRadius", - "The radius of the bullet splash damage, where the damage gradually falls off to 0.", - generate_hash("bg_bulletExplRadius") - }, - { - "bg_compassShowEnemies", - "Whether enemies are visible on the compass at all times", - generate_hash("bg_compassShowEnemies") - }, - { - "bg_idleSwingSpeed", - "The rate at which the player's legs swing around when idle (multi-player only)", - generate_hash("bg_idleSwingSpeed") - }, - { - "bg_shieldHitEncodeHeightVM", - "The decoding range, in height, of a client's viewmodel shield.", - generate_hash("bg_shieldHitEncodeHeightVM") - }, - { - "bg_shieldHitEncodeHeightWorld", - "The encoding range, in height, of a client's world shield. A hit in this range is encoded into one of 8 rows.", - generate_hash("bg_shieldHitEncodeHeightWorld") - }, - { - "bg_shieldHitEncodeWidthVM", - "The decoding range, in width, of a client's viewmodel shield.", - generate_hash("bg_shieldHitEncodeWidthVM") - }, - { - "bg_shieldHitEncodeWidthWorld", - "The encoding range, in width, of a client's world shield. A hit in this range is encoded into one of 16 collumns.", - generate_hash("bg_shieldHitEncodeWidthWorld") - }, - { - "bg_shock_fadeOverride", - "Override the time for the shellshock kick effect to fade in MP", - generate_hash("bg_shock_fadeOverride") - }, - { - "bg_shock_lookControl", - "Alter player control during shellshock", - generate_hash("bg_shock_lookControl") - }, - { - "bg_shock_lookControl_fadeTime", - "The time for the shellshock player control to fade in seconds", - generate_hash("bg_shock_lookControl_fadeTime") - }, - { - "bg_shock_lookControl_maxpitchspeed", - "Maximum pitch movement rate while shellshocked in degrees per second", - generate_hash("bg_shock_lookControl_maxpitchspeed") - }, - { - "bg_shock_lookControl_maxyawspeed", - "Maximum yaw movement rate while shell shocked in degrees per second", - generate_hash("bg_shock_lookControl_maxyawspeed") - }, - { - "bg_shock_lookControl_mousesensitivityscale", - "Sensitivity scale to apply to a shellshocked player", - generate_hash("bg_shock_lookControl_mousesensitivityscale") - }, - { - "bg_shock_movement", - "Affect player's movement speed duringi shellshock", - generate_hash("bg_shock_movement") - }, - { - "bg_shock_screenBlurBlendFadeTime", - "The amount of time in seconds for the shellshock effect to fade", - generate_hash("bg_shock_screenBlurBlendFadeTime") - }, - { - "bg_shock_screenBlurBlendTime", - "The amount of time in seconds for the shellshock effect to fade", - generate_hash("bg_shock_screenBlurBlendTime") - }, - { - "bg_shock_screenFlashShotFadeTime", - "In seconds, how soon from the end of the effect to start blending out the whiteout layer.", - generate_hash("bg_shock_screenFlashShotFadeTime") - }, - { - "bg_shock_screenFlashWhiteFadeTime", - "In seconds, how soon from the end of the effect to start blending out the whiteout layer.", - generate_hash("bg_shock_screenFlashWhiteFadeTime") - }, - { - "bg_shock_screenType", - "Shell shock screen effect type", - generate_hash("bg_shock_screenType") - }, - { - "bg_shock_sound", - "Play shell shock sound", - generate_hash("bg_shock_sound") - }, - { - "bg_shock_soundDryLevel", - "Shell shock sound dry level", - generate_hash("bg_shock_soundDryLevel") - }, - { - "bg_shock_soundEnd", - "Shellshock end sound alias", - generate_hash("bg_shock_soundEnd") - }, - { - "bg_shock_soundEndAbort", - "Shellshock aborted end sound alias", - generate_hash("bg_shock_soundEndAbort") - }, - { - "bg_shock_soundFadeInTime", - "Shell shock sound fade in time in seconds", - generate_hash("bg_shock_soundFadeInTime") - }, - { - "bg_shock_soundFadeOutTime", - "Shell shock sound fade out time in seconds", - generate_hash("bg_shock_soundFadeOutTime") - }, - { - "bg_shock_soundLoop", - "Shellshock loop alias", - generate_hash("bg_shock_soundLoop") - }, - { - "bg_shock_soundLoopEndDelay", - "Sound loop end offset time from the end of the shellshock in seconds", - generate_hash("bg_shock_soundLoopEndDelay") - }, - { - "bg_shock_soundLoopFadeTime", - "Shell shock sound loop fade time in seconds", - generate_hash("bg_shock_soundLoopFadeTime") - }, - { - "bg_shock_soundLoopSilent", - "The sound that gets blended with the shellshock loop alias", - generate_hash("bg_shock_soundLoopSilent") - }, - { - "bg_shock_soundModEndDelay", - "The delay from the end of the shell shock to the end of the sound modification", - generate_hash("bg_shock_soundModEndDelay") - }, - { - "bg_shock_soundRoomType", - "Shell shock sound reverb room type", - generate_hash("bg_shock_soundRoomType") - }, - { - "bg_shock_soundSubmix", - "Shell shock submix to apply", - generate_hash("bg_shock_soundSubmix") - }, - { - "bg_shock_soundWetLevel", - "Shell shock sound wet level", - generate_hash("bg_shock_soundWetLevel") - }, - { - "bg_shock_viewKickFadeTime", - "The time for the shellshock kick effect to fade", - generate_hash("bg_shock_viewKickFadeTime") - }, - { - "bg_shock_viewKickPeriod", - "The period of the shellshock view kick effect", - generate_hash("bg_shock_viewKickPeriod") - }, - { - "bg_shock_viewKickRadius", - "Shell shock kick radius", - generate_hash("bg_shock_viewKickRadius") - }, - { - "bg_swingSpeed", - "The rate at which the player's legs swing around when idle (multi-player only)", - generate_hash("bg_swingSpeed") - }, - { - "bg_torsoSwingSpeed", - "The rate at which the player's torso swings around when strafing (multi-player only)", - generate_hash("bg_torsoSwingSpeed") - }, - { - "boostcheatHeadshotsTotalCoef", - "", - generate_hash("boostcheatHeadshotsTotalCoef") - }, - { - "boostcheatHeadshotsTotalMean", - "", - generate_hash("boostcheatHeadshotsTotalMean") - }, - { - "boostcheatHeadshotsTotalStddev", - "", - generate_hash("boostcheatHeadshotsTotalStddev") - }, - { - "boostcheatIntercept", - "", - generate_hash("boostcheatIntercept") - }, - { - "boostcheatKillerXAnomalyCoef", - "", - generate_hash("boostcheatKillerXAnomalyCoef") - }, - { - "boostcheatKillerXAnomalyMean", - "", - generate_hash("boostcheatKillerXAnomalyMean") - }, - { - "boostcheatKillerXAnomalyStddev", - "", - generate_hash("boostcheatKillerXAnomalyStddev") - }, - { - "boostcheatKillerYAnomalyCoef", - "", - generate_hash("boostcheatKillerYAnomalyCoef") - }, - { - "boostcheatKillerYAnomalyMean", - "", - generate_hash("boostcheatKillerYAnomalyMean") - }, - { - "boostcheatKillerYAnomalyStddev", - "", - generate_hash("boostcheatKillerYAnomalyStddev") - }, - { - "boostcheatMeanDistanceMostKilledPlayerTraveledMean", - "", - generate_hash("boostcheatMeanDistanceMostKilledPlayerTraveledMean") - }, - { - "boostcheatMeanDistanceVictimTraveledCoef", - "", - generate_hash("boostcheatMeanDistanceVictimTraveledCoef") - }, - { - "boostcheatMeanDistanceVictimTraveledMean", - "", - generate_hash("boostcheatMeanDistanceVictimTraveledMean") - }, - { - "boostcheatMeanDistanceVictimTraveledStddev", - "", - generate_hash("boostcheatMeanDistanceVictimTraveledStddev") - }, - { - "boostcheatMeanMostKilledPlayerLifetimeMillisecondsMean", - "", - generate_hash("boostcheatMeanMostKilledPlayerLifetimeMillisecondsMean") - }, - { - "boostcheatMostKilledPlayerHKRatioCoef", - "", - generate_hash("boostcheatMostKilledPlayerHKRatioCoef") - }, - { - "boostcheatMostKilledPlayerHKRatioMean", - "", - generate_hash("boostcheatMostKilledPlayerHKRatioMean") - }, - { - "boostcheatMostKilledPlayerHKRatioStddev", - "", - generate_hash("boostcheatMostKilledPlayerHKRatioStddev") - }, - { - "boostcheatMostKilledPlayerKillsRatioCoef", - "", - generate_hash("boostcheatMostKilledPlayerKillsRatioCoef") - }, - { - "boostcheatMostKilledPlayerKillsRatioMean", - "", - generate_hash("boostcheatMostKilledPlayerKillsRatioMean") - }, - { - "boostcheatMostKilledPlayerKillsRatioStddev", - "", - generate_hash("boostcheatMostKilledPlayerKillsRatioStddev") - }, - { - "boostcheatMostKilledPlayerKillsTotalCoef", - "", - generate_hash("boostcheatMostKilledPlayerKillsTotalCoef") - }, - { - "boostcheatMostKilledPlayerKillsTotalMean", - "", - generate_hash("boostcheatMostKilledPlayerKillsTotalMean") - }, - { - "boostcheatMostKilledPlayerKillsTotalStddev", - "", - generate_hash("boostcheatMostKilledPlayerKillsTotalStddev") - }, - { - "boostcheatMostKilledPlayerKillTimestampsAnomalyMean", - "", - generate_hash("boostcheatMostKilledPlayerKillTimestampsAnomalyMean") - }, - { - "boostcheatVictimXAnomalyCoef", - "", - generate_hash("boostcheatVictimXAnomalyCoef") - }, - { - "boostcheatVictimXAnomalyMean", - "", - generate_hash("boostcheatVictimXAnomalyMean") - }, - { - "boostcheatVictimXAnomalyStddev", - "", - generate_hash("boostcheatVictimXAnomalyStddev") - }, - { - "boostcheatVictimYAnomalyCoef", - "", - generate_hash("boostcheatVictimYAnomalyCoef") - }, - { - "boostcheatVictimYAnomalyMean", - "", - generate_hash("boostcheatVictimYAnomalyMean") - }, - { - "boostcheatVictimYAnomalyStddev", - "", - generate_hash("boostcheatVictimYAnomalyStddev") - }, - { - "bot_DifficultyDefault", - "default difficulty level of bots", - generate_hash("bot_DifficultyDefault") - }, - { - "ca_auto_signin", - "CoD Anywhere start sign-in task automatically on startup or first party sign-in", - generate_hash("ca_auto_signin") - }, - { - "ca_do_mlc", - "CoD Anywhere Do Multi Login check", - generate_hash("ca_do_mlc") - }, - { - "ca_intra_only", - "CoD Anywhere Intra Network Only", - generate_hash("ca_intra_only") - }, - { - "ca_require_signin", - "CoD Anywhere require sign in to enter MP", - generate_hash("ca_require_signin") - }, - { - "ca_show_signup_request", - "CoD Anywhere should you show new users a popup requesting they create a CoD Account?", - generate_hash("ca_show_signup_request") - }, - { - "camera_thirdPerson", - "Use third person view globally", - generate_hash("camera_thirdPerson") - }, - { - "cameraShakeRemoteHelo_Angles", - "Remote helicopter gunner cam, range to shake the view.", - generate_hash("cameraShakeRemoteHelo_Angles") - }, - { - "cameraShakeRemoteHelo_Freqs", - "Remote helicopter gunner cam, how fast to shake.", - generate_hash("cameraShakeRemoteHelo_Freqs") - }, - { - "cameraShakeRemoteHelo_SpeedRange", - "Remote helicopter gunner cam, range of missile speed to scale the shaking.", - generate_hash("cameraShakeRemoteHelo_SpeedRange") - }, - { - "cameraShakeRemoteMissile_Angles", - "Remote missile-cam, range to shake the view.", - generate_hash("cameraShakeRemoteMissile_Angles") - }, - { - "cameraShakeRemoteMissile_Freqs", - "Remote missile-cam, how fast to shake.", - generate_hash("cameraShakeRemoteMissile_Freqs") - }, - { - "cameraShakeRemoteMissile_SpeedRange", - "Remote missile-cam, range of missile speed to scale the shaking.", - generate_hash("cameraShakeRemoteMissile_SpeedRange") - }, - { - "cg_airstrikeCamFstop", - "Airstrike kill camera aperture. Lower f-stop yields a shallower depth of field. Typical values range from 1 to 22", - generate_hash("cg_airstrikeCamFstop") - }, - { - "cg_airstrikeKillCamFarBlur", - "", - generate_hash("cg_airstrikeKillCamFarBlur") - }, - { - "cg_airstrikeKillCamFarBlurDist", - "", - generate_hash("cg_airstrikeKillCamFarBlurDist") - }, - { - "cg_airstrikeKillCamFarBlurStart", - "", - generate_hash("cg_airstrikeKillCamFarBlurStart") - }, - { - "cg_airstrikeKillCamFov", - "Airstrike kill camera field of view.", - generate_hash("cg_airstrikeKillCamFov") - }, - { - "cg_airstrikeKillCamNearBlur", - "", - generate_hash("cg_airstrikeKillCamNearBlur") - }, - { - "cg_airstrikeKillCamNearBlurEnd", - "", - generate_hash("cg_airstrikeKillCamNearBlurEnd") - }, - { - "cg_airstrikeKillCamNearBlurStart", - "", - generate_hash("cg_airstrikeKillCamNearBlurStart") - }, - { - "cg_blood", - "Show Blood", - generate_hash("cg_blood") - }, - { - "cg_bloodThickColor", - "Color of the blood overlay's thick blood splatter", - generate_hash("cg_bloodThickColor") - }, - { - "cg_bloodThinColor", - "Color of the blood overlay's thin blood splatter", - generate_hash("cg_bloodThinColor") - }, - { - "cg_brass", - "Weapons eject brass", - generate_hash("cg_brass") - }, - { - "cg_centertime", - "The time for a center printed message to fade", - generate_hash("cg_centertime") - }, - { - "cg_chatHeight", - "The font height of a chat message", - generate_hash("cg_chatHeight") - }, - { - "cg_chatTime", - "The amount of time that a chat message is visible", - generate_hash("cg_chatTime") - }, - { - "cg_ColorBlind_EnemyTeam", - "Enemy team color for color blind people", - generate_hash("cg_ColorBlind_EnemyTeam") - }, - { - "cg_ColorBlind_MyParty", - "Player party color for color blind people", - generate_hash("cg_ColorBlind_MyParty") - }, - { - "cg_ColorBlind_MyTeam", - "Player team color for color blind people", - generate_hash("cg_ColorBlind_MyTeam") - }, - { - "cg_connectionIconSize", - "Size of the connection icon", - generate_hash("cg_connectionIconSize") - }, - { - "cg_constantSizeHeadIcons", - "Head icons are the same size regardless of distance from the player", - generate_hash("cg_constantSizeHeadIcons") - }, - { - "cg_crosshairAlpha", - "The alpha value of the crosshair", - generate_hash("cg_crosshairAlpha") - }, - { - "cg_crosshairAlphaMin", - "The minimum alpha value of the crosshair when it fades in", - generate_hash("cg_crosshairAlphaMin") - }, - { - "cg_crosshairDynamic", - "Crosshair is Dynamic", - generate_hash("cg_crosshairDynamic") - }, - { - "cg_crosshairEnemyColor", - "The crosshair color when over an enemy", - generate_hash("cg_crosshairEnemyColor") - }, - { - "cg_crosshairVerticalOffset", - "Amount to vertically offset the crosshair from the center.", - generate_hash("cg_crosshairVerticalOffset") - }, - { - "cg_cullBulletAngle", - "Cull bullet trajectories that don't fall within this fov", - generate_hash("cg_cullBulletAngle") - }, - { - "cg_cullBullets", - "Whether to cull bullet fire prediction if trajectory doesn't pass your view or anywhere near you", - generate_hash("cg_cullBullets") - }, - { - "cg_cursorHints", - "Draw cursor hints where:\n 0: no hints", - generate_hash("cg_cursorHints") - }, - { - "cg_deadChatWithDead", - "If true, dead players can all chat together, regardless of team", - generate_hash("cg_deadChatWithDead") - }, - { - "cg_deadChatWithTeam", - "If true, dead players can talk to living players on their team", - generate_hash("cg_deadChatWithTeam") - }, - { - "cg_deadHearAllLiving", - "If true, dead players can hear all living players talk", - generate_hash("cg_deadHearAllLiving") - }, - { - "cg_deadHearTeamLiving", - "If true, dead players can hear living players on their team talk", - generate_hash("cg_deadHearTeamLiving") - }, - { - "cg_descriptiveText", - "Draw descriptive spectator messages", - generate_hash("cg_descriptiveText") - }, - { - "cg_draw2D", - "Draw 2D screen elements", - generate_hash("cg_draw2D") - }, - { - "cg_drawBreathHint", - "Draw a 'hold breath to steady' hint", - generate_hash("cg_drawBreathHint") - }, - { - "cg_drawBuildName", - "Draw build name", - generate_hash("cg_drawBuildName") - }, - { - "cg_drawCrosshair", - "Turn on weapon crosshair", - generate_hash("cg_drawCrosshair") - }, - { - "cg_drawCrosshairNames", - "Draw the name of an enemy under the crosshair", - generate_hash("cg_drawCrosshairNames") - }, - { - "cg_drawCrosshairNamesPosX", - "", - generate_hash("cg_drawCrosshairNamesPosX") - }, - { - "cg_drawCrosshairNamesPosY", - "", - generate_hash("cg_drawCrosshairNamesPosY") - }, - { - "cg_drawDamageDirection", - "Draw hit direction arrow.", - generate_hash("cg_drawDamageDirection") - }, - { - "cg_drawDamageFlash", - "Draw flash when hit.", - generate_hash("cg_drawDamageFlash") - }, - { - "cg_drawDoubleTapDetonateHint", - "Draw a 'double tap to detonate grenade' hint", - generate_hash("cg_drawDoubleTapDetonateHint") - }, - { - "cg_drawEffectNum", - "Draw counts of effects and elements", - generate_hash("cg_drawEffectNum") - }, - { - "cg_drawFPS", - "Draw frames per second", - generate_hash("cg_drawFPS") - }, - { - "cg_drawFPSLabels", - "Draw FPS Info Labels", - generate_hash("cg_drawFPSLabels") - }, - { - "cg_drawFriendlyHUDGrenades", - "Draw grenade warning indicators for friendly grenades (should be true if friendly-fire is enabled)", - generate_hash("cg_drawFriendlyHUDGrenades") - }, - { - "cg_drawFriendlyNames", - "Whether to show friendly names in game", - generate_hash("cg_drawFriendlyNames") - }, - { - "cg_drawFriendlyNamesAlways", - "Whether to always show friendly names in game (for certain gametypes)", - generate_hash("cg_drawFriendlyNamesAlways") - }, - { - "cg_drawGun", - "Draw the view model", - generate_hash("cg_drawGun") - }, - { - "cg_drawHealth", - "Draw health bar", - generate_hash("cg_drawHealth") - }, - { - "cg_drawMantleHint", - "Draw a 'press key to mantle' hint", - generate_hash("cg_drawMantleHint") - }, - { - "cg_drawMaterial", - "Draw debugging information for materials", - generate_hash("cg_drawMaterial") - }, - { - "cg_drawpaused", - "Draw paused screen", - generate_hash("cg_drawpaused") - }, - { - "cg_drawScriptUsage", - "Draw debugging information for scripts", - generate_hash("cg_drawScriptUsage") - }, - { - "cg_drawSnapshot", - "Draw debugging information for snapshots", - generate_hash("cg_drawSnapshot") - }, - { - "cg_drawStatsSource", - "Draw stats source", - generate_hash("cg_drawStatsSource") - }, - { - "cg_drawTalk", - "Controls which icons CG_TALKER ownerdraw draws", - generate_hash("cg_drawTalk") - }, - { - "cg_drawTurretCrosshair", - "Draw a cross hair when using a turret", - generate_hash("cg_drawTurretCrosshair") - }, - { - "cg_drawViewpos", - "Draw viewpos", - generate_hash("cg_drawViewpos") - }, - { - "cg_e3TrailerHacks", - "Tweaks for trailer recording", - generate_hash("cg_e3TrailerHacks") - }, - { - "cg_equipmentSounds", - "Play equipment sounds", - generate_hash("cg_equipmentSounds") - }, - { - "cg_errordecay", - "Decay for predicted error", - generate_hash("cg_errordecay") - }, - { - "cg_everyoneHearsEveryone", - "If true, all players can all chat together, regardless of team or death", - generate_hash("cg_everyoneHearsEveryone") - }, - { - "cg_explosiveKillCamBackDist", - "Explosive kill camera: distance of camera backwards from explosive.", - generate_hash("cg_explosiveKillCamBackDist") - }, - { - "cg_explosiveKillCamGroundBackDist", - "Explosive kill camera when stuck to ground: distance of camera backwards from explosive.", - generate_hash("cg_explosiveKillCamGroundBackDist") - }, - { - "cg_explosiveKillCamGroundUpDist", - "Explosive kill camera when stuck to ground: distance of camera backwards from explosive.", - generate_hash("cg_explosiveKillCamGroundUpDist") - }, - { - "cg_explosiveKillCamStopDecelDist", - "Rocket and Grenade Launcher kill camera: distance from player to begin coming to rest", - generate_hash("cg_explosiveKillCamStopDecelDist") - }, - { - "cg_explosiveKillCamStopDist", - "Rocket and Grenade Launcher kill camera: distance from player to begin coming to rest", - generate_hash("cg_explosiveKillCamStopDist") - }, - { - "cg_explosiveKillCamUpDist", - "Explosive kill camera: distance of camera backwards from explosive.", - generate_hash("cg_explosiveKillCamUpDist") - }, - { - "cg_explosiveKillCamWallOutDist", - "Explosive kill camera when stuck to wall: distance of camera out from wall.", - generate_hash("cg_explosiveKillCamWallOutDist") - }, - { - "cg_explosiveKillCamWallSideDist", - "Explosive kill camera when stuck to wall: distance of camera out from wall.", - generate_hash("cg_explosiveKillCamWallSideDist") - }, - { - "cg_flashbangNameFadeIn", - "Time in milliseconds to fade in friendly names", - generate_hash("cg_flashbangNameFadeIn") - }, - { - "cg_flashbangNameFadeOut", - "Time in milliseconds to fade out friendly names", - generate_hash("cg_flashbangNameFadeOut") - }, - { - "cg_foliagesnd_alias", - "The sound that plays when an actor or player enters a foliage clip brush.", - generate_hash("cg_foliagesnd_alias") - }, - { - "cg_footsteps", - "Play footstep sounds that are NOT sprint", - generate_hash("cg_footsteps") - }, - { - "cg_footstepsSprint", - "Play sprint footstep sounds", - generate_hash("cg_footstepsSprint") - }, - { - "cg_fov", - "The field of view angle in degrees", - generate_hash("cg_fov") - }, - { - "cg_fovMin", - "The minimum possible field of view", - generate_hash("cg_fovMin") - }, - { - "cg_fovScale", - "Scale applied to the field of view", - generate_hash("cg_fovScale") - }, - { - "cg_friendlyNameFadeIn", - "Time in milliseconds to fade in friendly names", - generate_hash("cg_friendlyNameFadeIn") - }, - { - "cg_friendlyNameFadeOut", - "Time in milliseconds to fade out friendly names", - generate_hash("cg_friendlyNameFadeOut") - }, - { - "cg_gameBoldMessageWidth", - "The maximum character width of the bold game messages", - generate_hash("cg_gameBoldMessageWidth") - }, - { - "cg_gameMessageWidth", - "The maximum character width of the game messages", - generate_hash("cg_gameMessageWidth") - }, - { - "cg_gun_x", - "Forward position of the viewmodel", - generate_hash("cg_gun_x") - }, - { - "cg_gun_y", - "Right position of the viewmodel", - generate_hash("cg_gun_y") - }, - { - "cg_gun_z", - "Up position of the viewmodel", - generate_hash("cg_gun_z") - }, - { - "cg_headIconMinScreenRadius", - "The minumum radius of a head icon on the screen", - generate_hash("cg_headIconMinScreenRadius") - }, - { - "cg_hearKillerTime", - "Duration (in milliseconds) to hear the person you just killed", - generate_hash("cg_hearKillerTime") - }, - { - "cg_hearVictimEnabled", - "If true, you can hear the person you just killed", - generate_hash("cg_hearVictimEnabled") - }, - { - "cg_hearVictimTime", - "Duration (in milliseconds) to hear the person you just killed", - generate_hash("cg_hearVictimTime") - }, - { - "cg_heliKillCamFarBlur", - "", - generate_hash("cg_heliKillCamFarBlur") - }, - { - "cg_heliKillCamFarBlurDist", - "", - generate_hash("cg_heliKillCamFarBlurDist") - }, - { - "cg_heliKillCamFarBlurStart", - "", - generate_hash("cg_heliKillCamFarBlurStart") - }, - { - "cg_heliKillCamFov", - "Helicopter kill camera field of view.", - generate_hash("cg_heliKillCamFov") - }, - { - "cg_heliKillCamFstop", - "Helicopter kill camera aperture. Lower f-stop yields a shallower depth of field. Typical values range from 1 to 22", - generate_hash("cg_heliKillCamFstop") - }, - { - "cg_heliKillCamNearBlur", - "", - generate_hash("cg_heliKillCamNearBlur") - }, - { - "cg_heliKillCamNearBlurEnd", - "", - generate_hash("cg_heliKillCamNearBlurEnd") - }, - { - "cg_heliKillCamNearBlurStart", - "", - generate_hash("cg_heliKillCamNearBlurStart") - }, - { - "cg_hintFadeTime", - "Time in milliseconds for the cursor hint to fade", - generate_hash("cg_hintFadeTime") - }, - { - "cg_hudChatIntermissionPosition", - "Position of the HUD chat box during intermission", - generate_hash("cg_hudChatIntermissionPosition") - }, - { - "cg_hudChatPosition", - "Position of the HUD chat box", - generate_hash("cg_hudChatPosition") - }, - { - "cg_hudDamageIconHeight", - "The height of the damage icon", - generate_hash("cg_hudDamageIconHeight") - }, - { - "cg_hudDamageIconInScope", - "Draw damage icons when aiming down the sight of a scoped weapon", - generate_hash("cg_hudDamageIconInScope") - }, - { - "cg_hudDamageIconOffset", - "The offset from the center of the damage icon", - generate_hash("cg_hudDamageIconOffset") - }, - { - "cg_hudDamageIconOverlayTime", - "The amount of time (in ms) for the overlay portion of the damage icon to stay on screen", - generate_hash("cg_hudDamageIconOverlayTime") - }, - { - "cg_hudDamageIconStartFadeTime", - "The amount of time (in ms) before the damage icon begins to fade", - generate_hash("cg_hudDamageIconStartFadeTime") - }, - { - "cg_hudDamageIconTime", - "The amount of time for the damage icon to stay on screen after damage is taken", - generate_hash("cg_hudDamageIconTime") - }, - { - "cg_hudDamageIconWidth", - "The width of the damage icon", - generate_hash("cg_hudDamageIconWidth") - }, - { - "cg_hudGrenadeIconEnabledFlash", - "Show the grenade indicator for flash grenades", - generate_hash("cg_hudGrenadeIconEnabledFlash") - }, - { - "cg_hudGrenadeIconHeight", - "The height of the grenade indicator icon", - generate_hash("cg_hudGrenadeIconHeight") - }, - { - "cg_hudGrenadeIconInScope", - "Show the grenade indicator when aiming down the sight of a scoped weapon", - generate_hash("cg_hudGrenadeIconInScope") - }, - { - "cg_hudGrenadeIconMaxRangeFlash", - "The minimum distance that a flashbang has to be from a player in order to be shown on the grenade indicator", - generate_hash("cg_hudGrenadeIconMaxRangeFlash") - }, - { - "cg_hudGrenadeIconMaxRangeFrag", - "The minimum distance that a grenade has to be from a player in order to be shown on the grenade indicator", - generate_hash("cg_hudGrenadeIconMaxRangeFrag") - }, - { - "cg_hudGrenadeIconOffset", - "The offset from the center of the screen for a grenade icon", - generate_hash("cg_hudGrenadeIconOffset") - }, - { - "cg_hudGrenadeIconWidth", - "The width of the grenade indicator icon", - generate_hash("cg_hudGrenadeIconWidth") - }, - { - "cg_hudGrenadePointerHeight", - "The height of the grenade indicator pointer", - generate_hash("cg_hudGrenadePointerHeight") - }, - { - "cg_hudGrenadePointerPivot", - "The pivot point of th grenade indicator pointer", - generate_hash("cg_hudGrenadePointerPivot") - }, - { - "cg_hudGrenadePointerPulseFreq", - "The number of times per second that the grenade indicator flashes in Hertz", - generate_hash("cg_hudGrenadePointerPulseFreq") - }, - { - "cg_hudGrenadePointerPulseMax", - "The maximum alpha of the grenade indicator pulse. Values higher than 1 will cause the indicator to remain at full brightness for longer", - generate_hash("cg_hudGrenadePointerPulseMax") - }, - { - "cg_hudGrenadePointerPulseMin", - "The minimum alpha of the grenade indicator pulse. Values lower than 0 will cause the indicator to remain at full transparency for longer", - generate_hash("cg_hudGrenadePointerPulseMin") - }, - { - "cg_hudGrenadePointerWidth", - "The width of the grenade indicator pointer", - generate_hash("cg_hudGrenadePointerWidth") - }, - { - "cg_hudLegacySplitscreenScale", - "Screen scale for hud elements in splitscreen", - generate_hash("cg_hudLegacySplitscreenScale") - }, - { - "cg_hudLighting_basic_additiveLumOffset", - "[basic] Offset applied to additive light color.", - generate_hash("cg_hudLighting_basic_additiveLumOffset") - }, - { - "cg_hudLighting_basic_additiveLumScale", - "[basic] Scale applied to additive light color.", - generate_hash("cg_hudLighting_basic_additiveLumScale") - }, - { - "cg_hudLighting_basic_additiveOffset", - "", - generate_hash("cg_hudLighting_basic_additiveOffset") - }, - { - "cg_hudLighting_basic_additiveScale", - "", - generate_hash("cg_hudLighting_basic_additiveScale") - }, - { - "cg_hudLighting_basic_ambientLumOffset", - "[basic] Offset applied to ambient light color.", - generate_hash("cg_hudLighting_basic_ambientLumOffset") - }, - { - "cg_hudLighting_basic_ambientLumScale", - "[basic] Scale applied to ambient light color.", - generate_hash("cg_hudLighting_basic_ambientLumScale") - }, - { - "cg_hudLighting_basic_ambientOffset", - "", - generate_hash("cg_hudLighting_basic_ambientOffset") - }, - { - "cg_hudLighting_basic_ambientScale", - "", - generate_hash("cg_hudLighting_basic_ambientScale") - }, - { - "cg_hudLighting_basic_diffuseLumOffset", - "[basic] Offset applied to diffuse light color.", - generate_hash("cg_hudLighting_basic_diffuseLumOffset") - }, - { - "cg_hudLighting_basic_diffuseLumScale", - "[basic] Scale applied to diffuse light color.", - generate_hash("cg_hudLighting_basic_diffuseLumScale") - }, - { - "cg_hudLighting_basic_diffuseOffset", - "", - generate_hash("cg_hudLighting_basic_diffuseOffset") - }, - { - "cg_hudLighting_basic_diffuseScale", - "", - generate_hash("cg_hudLighting_basic_diffuseScale") - }, - { - "cg_hudLighting_basic_specExponent", - "[basic] Specular exponent. Higher values result in sharper highlights.", - generate_hash("cg_hudLighting_basic_specExponent") - }, - { - "cg_hudLighting_basic_specLumOffset", - "[basic] Offset applied to spec light luminance.", - generate_hash("cg_hudLighting_basic_specLumOffset") - }, - { - "cg_hudLighting_basic_specLumScale", - "[basic] Scale applied to spec light luminance.", - generate_hash("cg_hudLighting_basic_specLumScale") - }, - { - "cg_hudLighting_basic_specOffset", - "", - generate_hash("cg_hudLighting_basic_specOffset") - }, - { - "cg_hudLighting_basic_specScale", - "", - generate_hash("cg_hudLighting_basic_specScale") - }, - { - "cg_hudLighting_blood_additiveLumOffset", - "[blood] Offset applied to additive light color.", - generate_hash("cg_hudLighting_blood_additiveLumOffset") - }, - { - "cg_hudLighting_blood_additiveLumScale", - "[blood] Scale applied to additive light color.", - generate_hash("cg_hudLighting_blood_additiveLumScale") - }, - { - "cg_hudLighting_blood_additiveOffset", - "", - generate_hash("cg_hudLighting_blood_additiveOffset") - }, - { - "cg_hudLighting_blood_additiveScale", - "", - generate_hash("cg_hudLighting_blood_additiveScale") - }, - { - "cg_hudLighting_blood_ambientLumOffset", - "[blood] Offset applied to ambient light color.", - generate_hash("cg_hudLighting_blood_ambientLumOffset") - }, - { - "cg_hudLighting_blood_ambientLumScale", - "[blood] Scale applied to ambient light color.", - generate_hash("cg_hudLighting_blood_ambientLumScale") - }, - { - "cg_hudLighting_blood_ambientOffset", - "", - generate_hash("cg_hudLighting_blood_ambientOffset") - }, - { - "cg_hudLighting_blood_ambientScale", - "", - generate_hash("cg_hudLighting_blood_ambientScale") - }, - { - "cg_hudLighting_blood_diffuseLumOffset", - "[blood] Offset applied to diffuse light color.", - generate_hash("cg_hudLighting_blood_diffuseLumOffset") - }, - { - "cg_hudLighting_blood_diffuseLumScale", - "[blood] Scale applied to diffuse light color.", - generate_hash("cg_hudLighting_blood_diffuseLumScale") - }, - { - "cg_hudLighting_blood_diffuseOffset", - "", - generate_hash("cg_hudLighting_blood_diffuseOffset") - }, - { - "cg_hudLighting_blood_diffuseScale", - "", - generate_hash("cg_hudLighting_blood_diffuseScale") - }, - { - "cg_hudLighting_blood_specExponent", - "[blood] Specular exponent. Higher values result in sharper highlights.", - generate_hash("cg_hudLighting_blood_specExponent") - }, - { - "cg_hudLighting_blood_specLumOffset", - "[blood] Offset applied to spec light luminance.", - generate_hash("cg_hudLighting_blood_specLumOffset") - }, - { - "cg_hudLighting_blood_specLumScale", - "[blood] Scale applied to spec light luminance.", - generate_hash("cg_hudLighting_blood_specLumScale") - }, - { - "cg_hudLighting_blood_specOffset", - "", - generate_hash("cg_hudLighting_blood_specOffset") - }, - { - "cg_hudLighting_blood_specScale", - "", - generate_hash("cg_hudLighting_blood_specScale") - }, - { - "cg_hudLighting_fadeSharpness", - "This controls how sharp the lines are when fading using the mask alpha. Higher values are sharper.", - generate_hash("cg_hudLighting_fadeSharpness") - }, - { - "cg_hudMapBorderWidth", - "The size of the full map's border, filled by the CG_PLAYER_FULLMAP_BORDER ownerdraw", - generate_hash("cg_hudMapBorderWidth") - }, - { - "cg_hudMapFriendlyHeight", - "", - generate_hash("cg_hudMapFriendlyHeight") - }, - { - "cg_hudMapFriendlyWidth", - "", - generate_hash("cg_hudMapFriendlyWidth") - }, - { - "cg_hudMapPlayerHeight", - "", - generate_hash("cg_hudMapPlayerHeight") - }, - { - "cg_hudMapPlayerWidth", - "", - generate_hash("cg_hudMapPlayerWidth") - }, - { - "cg_hudMapRadarLineThickness", - "Thickness, relative to the map width, of the radar texture that sweeps across the full screen map", - generate_hash("cg_hudMapRadarLineThickness") - }, - { - "cg_hudObjectiveTextScale", - "", - generate_hash("cg_hudObjectiveTextScale") - }, - { - "cg_hudProneY", - "Virtual screen y coordinate of the prone blocked message", - generate_hash("cg_hudProneY") - }, - { - "cg_hudSayPosition", - "Position of the HUD say box", - generate_hash("cg_hudSayPosition") - }, - { - "cg_hudSplitscreenCompassElementScale", - "Scale value to apply to compass elements in splitscreen", - generate_hash("cg_hudSplitscreenCompassElementScale") - }, - { - "cg_hudSplitscreenCompassScale", - "Scale value to apply to the compass in splitscreen", - generate_hash("cg_hudSplitscreenCompassScale") - }, - { - "cg_hudSplitscreenStanceScale", - "Scale value to apply to the stance HUD element in splitscreen", - generate_hash("cg_hudSplitscreenStanceScale") - }, - { - "cg_hudStanceFlash", - "The background color of the flash when the stance changes", - generate_hash("cg_hudStanceFlash") - }, - { - "cg_hudVotePosition", - "Position of the HUD vote box", - generate_hash("cg_hudVotePosition") - }, - { - "cg_invalidCmdHintBlinkInterval", - "Blink rate of an invalid command hint", - generate_hash("cg_invalidCmdHintBlinkInterval") - }, - { - "cg_invalidCmdHintDuration", - "Duration of an invalid command hint", - generate_hash("cg_invalidCmdHintDuration") - }, - { - "cg_javelinKillCamCloseZDist", - "Javelin kill camera: closest distance above the target.", - generate_hash("cg_javelinKillCamCloseZDist") - }, - { - "cg_javelinKillCamDownDist", - "Javelin kill camera: distance to follow during ascent.", - generate_hash("cg_javelinKillCamDownDist") - }, - { - "cg_javelinKillCamFov", - "Javelin kill camera: fov", - generate_hash("cg_javelinKillCamFov") - }, - { - "cg_javelinKillCamLookLerpDist", - "Javelin kill camera: distance over which to lerp to look at player during descent. A value of zero means don't lerp at all.", - generate_hash("cg_javelinKillCamLookLerpDist") - }, - { - "cg_javelinKillCamPassDist", - "Javelin kill camera: distance away when passing.", - generate_hash("cg_javelinKillCamPassDist") - }, - { - "cg_javelinKillCamPassTime", - "Javelin kill camera: time in seconds to pass javelin on the way up", - generate_hash("cg_javelinKillCamPassTime") - }, - { - "cg_javelinKillCamUpDist", - "Javelin kill camera: distance to follow during ascent.", - generate_hash("cg_javelinKillCamUpDist") - }, - { - "cg_killCamDefaultLerpTime", - "Default time used to lerp between killcam entities.", - generate_hash("cg_killCamDefaultLerpTime") - }, - { - "cg_killCamTurretLerpTime", - "Time used to lerp to a killcam entity of the TURRET type.", - generate_hash("cg_killCamTurretLerpTime") - }, - { - "cg_landingSounds", - "Play landing on surface sounds", - generate_hash("cg_landingSounds") - }, - { - "cg_largeExplosiveKillCamBackDist", - "Large Explosive kill camera: distance of camera backwards from explosive.", - generate_hash("cg_largeExplosiveKillCamBackDist") - }, - { - "cg_largeExplosiveKillCamUpDist", - "Large Explosive kill camera: distance of camera backwards from explosive.", - generate_hash("cg_largeExplosiveKillCamUpDist") - }, - { - "cg_mapLocationSelectionCursorSpeed", - "Speed of the cursor when selecting a location on the map", - generate_hash("cg_mapLocationSelectionCursorSpeed") - }, - { - "cg_marks_ents_player_only", - "Marks on entities from players' bullets only.", - generate_hash("cg_marks_ents_player_only") - }, - { - "cg_minCullBulletDist", - "Don't cull bullet trajectories that are within this distance to you.", - generate_hash("cg_minCullBulletDist") - }, - { - "cg_objectiveText", - "", - generate_hash("cg_objectiveText") - }, - { - "cg_overheadIconSize", - "The maximum size to show overhead icons like 'rank'", - generate_hash("cg_overheadIconSize") - }, - { - "cg_overheadNamesFarDist", - "The far distance at which name sizes are scaled by cg_overheadNamesFarScale", - generate_hash("cg_overheadNamesFarDist") - }, - { - "cg_overheadNamesFarScale", - "The amount to scale overhead name sizes at cg_overheadNamesFarDist", - generate_hash("cg_overheadNamesFarScale") - }, - { - "cg_overheadNamesFont", - "Font for overhead names ( see menudefinition.h )", - generate_hash("cg_overheadNamesFont") - }, - { - "cg_overheadNamesGlow", - "Glow color for overhead names", - generate_hash("cg_overheadNamesGlow") - }, - { - "cg_overheadNamesMaxDist", - "The maximum distance for showing friendly player names", - generate_hash("cg_overheadNamesMaxDist") - }, - { - "cg_overheadNamesNearDist", - "The near distance at which names are full size", - generate_hash("cg_overheadNamesNearDist") - }, - { - "cg_overheadNamesSize", - "The maximum size to show overhead names", - generate_hash("cg_overheadNamesSize") - }, - { - "cg_overheadRankSize", - "The size to show rank text", - generate_hash("cg_overheadRankSize") - }, - { - "cg_remoteMissileKillCamBackDist", - "Remote missile kill camera: distance of camera backwards from rocket.", - generate_hash("cg_remoteMissileKillCamBackDist") - }, - { - "cg_remoteMissileKillCamUpDist", - "Remote missile kill camera: distance of camera backwards from rocket.", - generate_hash("cg_remoteMissileKillCamUpDist") - }, - { - "cg_rocketKillCamBackDist", - "Rocket kill camera: distance of camera backwards from rocket.", - generate_hash("cg_rocketKillCamBackDist") - }, - { - "cg_rocketKillCamUpDist", - "Rocket kill camera: distance of camera backwards from rocket.", - generate_hash("cg_rocketKillCamUpDist") - }, - { - "cg_scriptIconSize", - "Size of Icons defined by script", - generate_hash("cg_scriptIconSize") - }, - { - "cg_showmiss", - "Show prediction errors", - generate_hash("cg_showmiss") - }, - { - "cg_sprintMeterDisabledColor", - "The color of the sprint meter when the sprint meter is full", - generate_hash("cg_sprintMeterDisabledColor") - }, - { - "cg_sprintMeterEmptyColor", - "The color of the sprint meter when the sprint meter is full", - generate_hash("cg_sprintMeterEmptyColor") - }, - { - "cg_sprintMeterFullColor", - "The color of the sprint meter when the sprint meter is full", - generate_hash("cg_sprintMeterFullColor") - }, - { - "cg_subtitleMinTime", - "The minimum time that the subtitles are displayed on screen in seconds", - generate_hash("cg_subtitleMinTime") - }, - { - "cg_subtitleWidthStandard", - "The width of the subtitles on a non wide-screen", - generate_hash("cg_subtitleWidthStandard") - }, - { - "cg_subtitleWidthWidescreen", - "The width of the subtitle on a wide-screen", - generate_hash("cg_subtitleWidthWidescreen") - }, - { - "cg_teamChatsOnly", - "Allow chatting only on the same team", - generate_hash("cg_teamChatsOnly") - }, - { - "cg_TeamColor_Allies", - "Allies team color", - generate_hash("cg_TeamColor_Allies") - }, - { - "cg_TeamColor_Axis", - "Axis team color", - generate_hash("cg_TeamColor_Axis") - }, - { - "cg_TeamColor_EnemyTeam", - "Enemy team color", - generate_hash("cg_TeamColor_EnemyTeam") - }, - { - "cg_TeamColor_Free", - "Free Team color", - generate_hash("cg_TeamColor_Free") - }, - { - "cg_TeamColor_MyParty", - "Player team color when in the same party", - generate_hash("cg_TeamColor_MyParty") - }, - { - "cg_TeamColor_MyTeam", - "Player team color", - generate_hash("cg_TeamColor_MyTeam") - }, - { - "cg_TeamColor_Spectator", - "Spectator team color", - generate_hash("cg_TeamColor_Spectator") - }, - { - "cg_turretKillCamBackDist", - "Turret kill camera: distance of camera backwards from Turret.", - generate_hash("cg_turretKillCamBackDist") - }, - { - "cg_turretKillCamFov", - "Turret kill camera field of view.", - generate_hash("cg_turretKillCamFov") - }, - { - "cg_turretKillCamUpDist", - "Turret kill camera: distance of camera backwards from Turret.", - generate_hash("cg_turretKillCamUpDist") - }, - { - "cg_turretRemoteKillCamBackDist", - "Remote Turret kill camera: distance of camera backwards from Turret.", - generate_hash("cg_turretRemoteKillCamBackDist") - }, - { - "cg_turretRemoteKillCamFov", - "Remote Turret kill camera field of view.", - generate_hash("cg_turretRemoteKillCamFov") - }, - { - "cg_turretRemoteKillCamUpDist", - "Remote Turret kill camera: distance of camera backwards from Turret.", - generate_hash("cg_turretRemoteKillCamUpDist") - }, - { - "cg_vectorFieldsForceUniform", - "Forces all vector field assets to represent a single, uniform direction", - generate_hash("cg_vectorFieldsForceUniform") - }, - { - "cg_viewVehicleInfluence", - "The influence on the view angles from being in a vehicle", - generate_hash("cg_viewVehicleInfluence") - }, - { - "cg_viewZSmoothingMax", - "Threshhold for the maximum smoothing distance we'll do", - generate_hash("cg_viewZSmoothingMax") - }, - { - "cg_viewZSmoothingMin", - "Threshhold for the minimum smoothing distance it must move to smooth", - generate_hash("cg_viewZSmoothingMin") - }, - { - "cg_viewZSmoothingTime", - "Amount of time to spread the smoothing over", - generate_hash("cg_viewZSmoothingTime") - }, - { - "cg_voiceIconSize", - "Size of the 'voice' icon", - generate_hash("cg_voiceIconSize") - }, - { - "cg_waterSheeting_distortionScaleFactor", - "Distortion uv scales (Default to 1)", - generate_hash("cg_waterSheeting_distortionScaleFactor") - }, - { - "cg_waterSheeting_magnitude", - "Distortion magnitude", - generate_hash("cg_waterSheeting_magnitude") - }, - { - "cg_waterSheeting_radius", - "Tweak dev var; Glow radius in pixels at 640x480", - generate_hash("cg_waterSheeting_radius") - }, - { - "cg_weapHitCullAngle", - "Angle of cone within which to cull back facing weapon hit effects", - generate_hash("cg_weapHitCullAngle") - }, - { - "cg_weapHitCullEnable", - "When true, cull back facing weapon hit fx.", - generate_hash("cg_weapHitCullEnable") - }, - { - "cg_weaponCycleDelay", - "The delay after cycling to a new weapon to prevent holding down the cycle weapon button from cycling too fast", - generate_hash("cg_weaponCycleDelay") - }, - { - "cg_weaponHintsCoD1Style", - "Draw weapon hints in CoD1 style: with the weapon name, and with the icon below", - generate_hash("cg_weaponHintsCoD1Style") - }, - { - "cg_weaponVisInterval", - "Do weapon vis checks once per this many frames, per centity", - generate_hash("cg_weaponVisInterval") - }, - { - "cg_youInKillCamSize", - "Size of the 'you' Icon in the kill cam", - generate_hash("cg_youInKillCamSize") - }, - { - "cl_anglespeedkey", - "Multiplier for max angle speed for game pad and keyboard", - generate_hash("cl_anglespeedkey") - }, - { - "cl_bypassMouseInput", - "Bypass UI mouse input and send directly to the game", - generate_hash("cl_bypassMouseInput") - }, - { - "cl_connectionAttempts", - "Maximum number of connection attempts before aborting", - generate_hash("cl_connectionAttempts") - }, - { - "cl_connectTimeout", - "Timeout time in seconds while connecting to a server", - generate_hash("cl_connectTimeout") - }, - { - "cl_demo_uploadfb", - "Should we upload to FB", - generate_hash("cl_demo_uploadfb") - }, - { - "cl_dirSelConvergenceTime", - "Time to converge to the new direction when selecting a direction on the map.", - generate_hash("cl_dirSelConvergenceTime") - }, - { - "cl_force_paused", - "Force the client to be paused. Can't be overridden by LUA scripts, the start button, etc.", - generate_hash("cl_force_paused") - }, - { - "cl_freelook", - "Enable looking with mouse", - generate_hash("cl_freelook") - }, - { - "cl_hudDrawsBehindUI", - "Should the HUD draw when the UI is up?", - generate_hash("cl_hudDrawsBehindUI") - }, - { - "cl_ingame", - "True if the game is active", - generate_hash("cl_ingame") - }, - { - "cl_inhibit_stats_upload", - "Inhibit upload of stats during demo playback", - generate_hash("cl_inhibit_stats_upload") - }, - { - "cl_lessprint", - "Print less to the console by filtering out certain spammy channels", - generate_hash("cl_lessprint") - }, - { - "cl_maxpackets", - "Maximum number of packets sent per frame", - generate_hash("cl_maxpackets") - }, - { - "cl_maxPing", - "Maximum ping for the client", - generate_hash("cl_maxPing") - }, - { - "cl_migrationTimeout", - "Seconds to wait to hear from new host during host migration before timeout occurs", - generate_hash("cl_migrationTimeout") - }, - { - "cl_modifiedDebugPlacement", - "Modify the location of debug output (outside of safe area)", - generate_hash("cl_modifiedDebugPlacement") - }, - { - "cl_motdString", - "", - generate_hash("cl_motdString") - }, - { - "cl_mouseAccel", - "Mouse acceleration", - generate_hash("cl_mouseAccel") - }, - { - "cl_noprint", - "Print nothing to the console", - generate_hash("cl_noprint") - }, - { - "cl_packetdup", - "Enable packet duplication", - generate_hash("cl_packetdup") - }, - { - "cl_pauseAudioZoneEnabled", - "Enable the paused audio zone when the menus are up", - generate_hash("cl_pauseAudioZoneEnabled") - }, - { - "cl_paused", - "Pause the game", - generate_hash("cl_paused") - }, - { - "cl_pitchspeed", - "Max pitch speed in degrees for game pad", - generate_hash("cl_pitchspeed") - }, - { - "cl_pranks", - "pranks", - generate_hash("cl_pranks") - }, - { - "cl_pushToTalk", - "Do we have to press a button to talk", - generate_hash("cl_pushToTalk") - }, - { - "cl_serverStatusResendTime", - "Time in milliseconds to resend a server status message", - generate_hash("cl_serverStatusResendTime") - }, - { - "cl_showmouserate", - "Print mouse rate debugging information to the console", - generate_hash("cl_showmouserate") - }, - { - "cl_textChatEnabled", - "Do we want to use text chat", - generate_hash("cl_textChatEnabled") - }, - { - "cl_timeout", - "Seconds with no received packets until a timeout occurs", - generate_hash("cl_timeout") - }, - { - "cl_voice", - "Use voice communications", - generate_hash("cl_voice") - }, - { - "cl_yawspeed", - "Max yaw speed in degrees for game pad and keyboard", - generate_hash("cl_yawspeed") - }, - { - "clientSideEffects", - "Enable loading _fx.gsc files on the client", - generate_hash("clientSideEffects") - }, - { - "cod_anywhere_errorMessage", - "CoD Anywhere error message", - generate_hash("cod_anywhere_errorMessage") - }, - { - "cod_anywhere_showPopup", - "Temp Development: Should we show the CoD Anywhere popup", - generate_hash("cod_anywhere_showPopup") - }, - { - "cod_anywhere_single_task_popup_text", - "CoD Anywhere success message", - generate_hash("cod_anywhere_single_task_popup_text") - }, - { - "com_animCheck", - "Check anim tree", - generate_hash("com_animCheck") - }, - { - "com_cinematicEndInWhite", - "Set by script. True if cinematic ends with a white screen.", - generate_hash("com_cinematicEndInWhite") - }, - { - "com_completionResolveCommand", - "Command to run when the message box successfully closes", - generate_hash("com_completionResolveCommand") - }, - { - "com_errorMessage", - "Most recent error message", - generate_hash("com_errorMessage") - }, - { - "com_errorResolveCommand", - "Command to run when they close the error box", - generate_hash("com_errorResolveCommand") - }, - { - "com_filter_output", - "Use console filters for filtering output.", - generate_hash("com_filter_output") - }, - { - "com_maxfps", - "Cap frames per second", - generate_hash("com_maxfps") - }, - { - "com_maxFrameTime", - "Time slows down if a frame takes longer than this many milliseconds", - generate_hash("com_maxFrameTime") - }, - { - "com_playerProfile", - "Set to the name of the profile", - generate_hash("com_playerProfile") - }, - { - "com_recommendedSet", - "", - generate_hash("com_recommendedSet") - }, - { - "commerce_dl_retry_step", - "Step in m/s for the commerce download retry", - generate_hash("commerce_dl_retry_step") - }, - { - "commerce_manifest_file_max_retry_time", - "Max time that the commerce manifest can retry", - generate_hash("commerce_manifest_file_max_retry_time") - }, - { - "commerce_manifest_file_retry_step", - "Step in m/s for the commerce manifest retry", - generate_hash("commerce_manifest_file_retry_step") - }, - { - "commerce_max_dl_retry_time", - "Max time that the commerce download can retry", - generate_hash("commerce_max_dl_retry_time") - }, - { - "commerce_max_retry_time", - "Max time that the commerce upload can retry", - generate_hash("commerce_max_retry_time") - }, - { - "commerce_retry_step", - "Step in m/s for the commerce upload retry", - generate_hash("commerce_retry_step") - }, - { - "compass", - "Display Compass", - generate_hash("compass") - }, - { - "compassClampIcons", - "If true, friendlies and enemy pings clamp to the edge of the radar. If false, they disappear off the edge.", - generate_hash("compassClampIcons") - }, - { - "compassCoords", - "x = North-South coord base value, \ny = East-West coord base value, \nz = scale (game units per coord unit)", - generate_hash("compassCoords") - }, - { - "compassECoordCutoff", - "Left cutoff for the scrolling east-west coords", - generate_hash("compassECoordCutoff") - }, - { - "compassFriendlyHeight", - "", - generate_hash("compassFriendlyHeight") - }, - { - "compassFriendlyWidth", - "", - generate_hash("compassFriendlyWidth") - }, - { - "compassHideSansObjectivePointer", - "Hide the compass, but leave the obective pointer visible.", - generate_hash("compassHideSansObjectivePointer") - }, - { - "compassHideVehicles", - "When enabled, disables the CG_PLAYER_COMPASS_VEHICLES ownerdraw.", - generate_hash("compassHideVehicles") - }, - { - "compassMaxRange", - "The maximum range from the player in world space that objects will be shown on the compass", - generate_hash("compassMaxRange") - }, - { - "compassMinRadius", - "The minimum radius from the center of the compass that objects will appear.", - generate_hash("compassMinRadius") - }, - { - "compassMinRange", - "The minimum range from the player in world space that objects will appear on the compass", - generate_hash("compassMinRange") - }, - { - "compassObjectiveArrowHeight", - "", - generate_hash("compassObjectiveArrowHeight") - }, - { - "compassObjectiveArrowOffset", - "The offset of the objective arrow inward from the edge of the compass map", - generate_hash("compassObjectiveArrowOffset") - }, - { - "compassObjectiveArrowRotateDist", - "Distance from the corner of the compass map at which the objective arrow rotates to 45 degrees", - generate_hash("compassObjectiveArrowRotateDist") - }, - { - "compassObjectiveArrowWidth", - "", - generate_hash("compassObjectiveArrowWidth") - }, - { - "compassObjectiveDetailDist", - "When an objective is closer than this distance (in meters), the icon will not be drawn on the tickertape.", - generate_hash("compassObjectiveDetailDist") - }, - { - "compassObjectiveDrawLines", - "Draw horizontal and vertical lines to the active target, if it is within the minimap boundries", - generate_hash("compassObjectiveDrawLines") - }, - { - "compassObjectiveHeight", - "", - generate_hash("compassObjectiveHeight") - }, - { - "compassObjectiveIconHeight", - "", - generate_hash("compassObjectiveIconHeight") - }, - { - "compassObjectiveIconWidth", - "", - generate_hash("compassObjectiveIconWidth") - }, - { - "compassObjectiveMaxHeight", - "The maximum height that an objective is considered to be on this level", - generate_hash("compassObjectiveMaxHeight") - }, - { - "compassObjectiveMaxRange", - "The maximum range at which an objective is visible on the compass", - generate_hash("compassObjectiveMaxRange") - }, - { - "compassObjectiveMinAlpha", - "The minimum alpha for an objective at the edge of the compass", - generate_hash("compassObjectiveMinAlpha") - }, - { - "compassObjectiveMinDistRange", - "The distance that objective transition effects play over, centered on compassObjectiveNearbyDist.", - generate_hash("compassObjectiveMinDistRange") - }, - { - "compassObjectiveMinHeight", - "The minimum height that an objective is considered to be on this level", - generate_hash("compassObjectiveMinHeight") - }, - { - "compassObjectiveNearbyDist", - "When an objective is closer than this distance (in meters), the icon will not be drawn on the tickertape.", - generate_hash("compassObjectiveNearbyDist") - }, - { - "compassObjectiveNumRings", - "The number of rings when a new objective appears", - generate_hash("compassObjectiveNumRings") - }, - { - "compassObjectiveRingSize", - "The maximum objective ring sige when a new objective appears on the compass", - generate_hash("compassObjectiveRingSize") - }, - { - "compassObjectiveRingTime", - "The amount of time between each ring when an objective appears", - generate_hash("compassObjectiveRingTime") - }, - { - "compassObjectiveTextHeight", - "Objective text height", - generate_hash("compassObjectiveTextHeight") - }, - { - "compassObjectiveTextScale", - "Scale to apply to hud objectives", - generate_hash("compassObjectiveTextScale") - }, - { - "compassObjectiveWidth", - "", - generate_hash("compassObjectiveWidth") - }, - { - "compassObjectiveWraparoundTime", - "How long it takes for the objective to wrap around the compass from one edge to the other", - generate_hash("compassObjectiveWraparoundTime") - }, - { - "compassPlayerHeight", - "", - generate_hash("compassPlayerHeight") - }, - { - "compassPlayerWidth", - "", - generate_hash("compassPlayerWidth") - }, - { - "compassRadarLineThickness", - "Thickness, relative to the compass size, of the radar texture that sweeps across the map", - generate_hash("compassRadarLineThickness") - }, - { - "compassRadarPingFadeTime", - "How long an enemy is visible on the compass after it is detected by radar", - generate_hash("compassRadarPingFadeTime") - }, - { - "compassRotation", - "Style of compass", - generate_hash("compassRotation") - }, - { - "compassSize", - "Scale the compass", - generate_hash("compassSize") - }, - { - "compassSoundPingFadeTime", - "The time in seconds for the sound overlay on the compass to fade", - generate_hash("compassSoundPingFadeTime") - }, - { - "compassTickertapeStretch", - "How far the tickertape should stretch from its center.", - generate_hash("compassTickertapeStretch") - }, - { - "comscore_active", - "Are we allowed to enable ComScore tracking or not", - generate_hash("comscore_active") - }, - { - "con_gameMsgWindow0FadeInTime", - "", - generate_hash("con_gameMsgWindow0FadeInTime") - }, - { - "con_gameMsgWindow0FadeOutTime", - "", - generate_hash("con_gameMsgWindow0FadeOutTime") - }, - { - "con_gameMsgWindow0Filter", - "", - generate_hash("con_gameMsgWindow0Filter") - }, - { - "con_gameMsgWindow0LineCount", - "", - generate_hash("con_gameMsgWindow0LineCount") - }, - { - "con_gameMsgWindow0MsgTime", - "", - generate_hash("con_gameMsgWindow0MsgTime") - }, - { - "con_gameMsgWindow0ScrollTime", - "", - generate_hash("con_gameMsgWindow0ScrollTime") - }, - { - "con_gameMsgWindow1FadeInTime", - "", - generate_hash("con_gameMsgWindow1FadeInTime") - }, - { - "con_gameMsgWindow1FadeOutTime", - "", - generate_hash("con_gameMsgWindow1FadeOutTime") - }, - { - "con_gameMsgWindow1Filter", - "", - generate_hash("con_gameMsgWindow1Filter") - }, - { - "con_gameMsgWindow1LineCount", - "", - generate_hash("con_gameMsgWindow1LineCount") - }, - { - "con_gameMsgWindow1MsgTime", - "", - generate_hash("con_gameMsgWindow1MsgTime") - }, - { - "con_gameMsgWindow1ScrollTime", - "", - generate_hash("con_gameMsgWindow1ScrollTime") - }, - { - "con_gameMsgWindow2FadeInTime", - "", - generate_hash("con_gameMsgWindow2FadeInTime") - }, - { - "con_gameMsgWindow2FadeOutTime", - "", - generate_hash("con_gameMsgWindow2FadeOutTime") - }, - { - "con_gameMsgWindow2Filter", - "", - generate_hash("con_gameMsgWindow2Filter") - }, - { - "con_gameMsgWindow2LineCount", - "", - generate_hash("con_gameMsgWindow2LineCount") - }, - { - "con_gameMsgWindow2MsgTime", - "", - generate_hash("con_gameMsgWindow2MsgTime") - }, - { - "con_gameMsgWindow2ScrollTime", - "", - generate_hash("con_gameMsgWindow2ScrollTime") - }, - { - "con_gameMsgWindow3FadeInTime", - "", - generate_hash("con_gameMsgWindow3FadeInTime") - }, - { - "con_gameMsgWindow3FadeOutTime", - "", - generate_hash("con_gameMsgWindow3FadeOutTime") - }, - { - "con_gameMsgWindow3Filter", - "", - generate_hash("con_gameMsgWindow3Filter") - }, - { - "con_gameMsgWindow3LineCount", - "", - generate_hash("con_gameMsgWindow3LineCount") - }, - { - "con_gameMsgWindow3MsgTime", - "", - generate_hash("con_gameMsgWindow3MsgTime") - }, - { - "con_gameMsgWindow3ScrollTime", - "", - generate_hash("con_gameMsgWindow3ScrollTime") - }, - { - "con_subtitleLeading", - "Leading for subtitles, calculated as a percentage of the font height", - generate_hash("con_subtitleLeading") - }, - { - "con_typewriterColorGlowCheckpoint", - "", - generate_hash("con_typewriterColorGlowCheckpoint") - }, - { - "con_typewriterColorGlowCompleted", - "", - generate_hash("con_typewriterColorGlowCompleted") - }, - { - "con_typewriterColorGlowFailed", - "", - generate_hash("con_typewriterColorGlowFailed") - }, - { - "con_typewriterColorGlowUpdated", - "", - generate_hash("con_typewriterColorGlowUpdated") - }, - { - "con_typewriterColorInteriorCheckpoint", - "", - generate_hash("con_typewriterColorInteriorCheckpoint") - }, - { - "con_typewriterColorInteriorCompleted", - "", - generate_hash("con_typewriterColorInteriorCompleted") - }, - { - "con_typewriterColorInteriorFailed", - "", - generate_hash("con_typewriterColorInteriorFailed") - }, - { - "con_typewriterColorInteriorUpdated", - "", - generate_hash("con_typewriterColorInteriorUpdated") - }, - { - "con_typewriterDecayDuration", - "Time (in milliseconds) to spend disolving the line away.", - generate_hash("con_typewriterDecayDuration") - }, - { - "con_typewriterDecayStartTime", - "Time (in milliseconds) to spend between the build and disolve phases.", - generate_hash("con_typewriterDecayStartTime") - }, - { - "con_typewriterPrintSpeed", - "Time (in milliseconds) to print each letter in the line.", - generate_hash("con_typewriterPrintSpeed") - }, - { - "counterDownloadInterval", - "Number of minutes before all the global counters are uploaded", - generate_hash("counterDownloadInterval") - }, - { - "counterUploadInterval", - "Number of minutes before all the global counters are uploaded", - generate_hash("counterUploadInterval") - }, - { - "cpu_speed_12players", - "12 player sys_configureGHz req'd", - generate_hash("cpu_speed_12players") - }, - { - "cpu_speed_18players", - "18 player sys_configureGHz req'd", - generate_hash("cpu_speed_18players") - }, - { - "cpu_speed_8players", - "8 player sys_configureGHz req'd", - generate_hash("cpu_speed_8players") - }, - { - "cSplineDebugRender", - "Debug Render the csplines.", - generate_hash("cSplineDebugRender") - }, - { - "cSplineDebugRenderCorridor", - "Debug Render the cspline corridor.", - generate_hash("cSplineDebugRenderCorridor") - }, - { - "cSplineDebugRenderData", - "Debug Render the cspline data.", - generate_hash("cSplineDebugRenderData") - }, - { - "cSplineDebugRenderSplineId", - "Select a cspline - 0 for all.", - generate_hash("cSplineDebugRenderSplineId") - }, - { - "dailychallenge_killswitch", - "daily challenge killswitch - int with bits used to flag individual daily challenges as enabled", - generate_hash("dailychallenge_killswitch") - }, - { - "dailychallenge_killswitch2", - "daily challenge killswitch2 - int with bits used to flag 2nd set of individual daily challenges as enabled", - generate_hash("dailychallenge_killswitch2") - }, - { - "dailychallenge_period", - "daily challenge period - utc value for a day", - generate_hash("dailychallenge_period") - }, - { - "data_validation_allow_drop", - "", - generate_hash("data_validation_allow_drop") - }, - { - "dc_lobbymerge", - "Allows lobby merging across data centres", - generate_hash("dc_lobbymerge") - }, - { - "dcacheSimulateNoHDD", - "When turned on, simulate no HDD for caching.", - generate_hash("dcacheSimulateNoHDD") - }, - { - "dcacheThrottleEnabled", - "Enable or disable dcache upload throttling.", - generate_hash("dcacheThrottleEnabled") - }, - { - "dcacheThrottleKBytesPerSec", - "Dcache upload throttle limit in K Bytes per second.", - generate_hash("dcacheThrottleKBytesPerSec") - }, - { - "dedicated_dhclient", - "True if we're a client playing on a DH server", - generate_hash("dedicated_dhclient") - }, - { - "demonwareConsideredConnectedTime", - "Number of milliseconds after being disconnected from demonware before considering shutting down.", - generate_hash("demonwareConsideredConnectedTime") - }, - { - "developer", - "Enable development options", - generate_hash("developer") - }, - { - "didyouknow", - "", - generate_hash("didyouknow") - }, - { - "discard_playerstats_on_suspend", - "Forces stats discard on suspend", - generate_hash("discard_playerstats_on_suspend") - }, - { - "drawEntityCount", - "Enable entity count drawing", - generate_hash("drawEntityCount") - }, - { - "drawEntityCountPos", - "Where to draw the entity count graph", - generate_hash("drawEntityCountPos") - }, - { - "drawEntityCountSize", - "undefined", - generate_hash("drawEntityCountSize") - }, - { - "drawKillcamData", - "Enable drawing server killcam data", - generate_hash("drawKillcamData") - }, - { - "drawKillcamDataPos", - "Where to draw the server killcam graph", - generate_hash("drawKillcamDataPos") - }, - { - "drawKillcamDataSize", - "How big to draw the killcam data graph", - generate_hash("drawKillcamDataSize") - }, - { - "drawServerBandwidth", - "Enable drawing server bandwidth", - generate_hash("drawServerBandwidth") - }, - { - "drawServerBandwidthPos", - "Where to draw the server bandwidth graph", - generate_hash("drawServerBandwidthPos") - }, - { - "ds_dcid", - "optional datacenter id - from playlist", - generate_hash("ds_dcid") - }, - { - "ds_dcid_override", - "force datacenter id", - generate_hash("ds_dcid_override") - }, - { - "ds_info", - "ds info string", - generate_hash("ds_info") - }, - { - "ds_info_enable", - "Enable ds info string", - generate_hash("ds_info_enable") - }, - { - "ds_introRequestTimeout", - "ds intro request timeout (ms)", - generate_hash("ds_introRequestTimeout") - }, - { - "ds_keepaliveInterval", - "ds keepalive interval (ms)", - generate_hash("ds_keepaliveInterval") - }, - { - "ds_keepaliveTimeout", - "ds keepalive timeout (ms)", - generate_hash("ds_keepaliveTimeout") - }, - { - "ds_pingclient_max_reping_distance", - "don't re-ping a datacenter if it's further away than this (miles)", - generate_hash("ds_pingclient_max_reping_distance") - }, - { - "ds_pingclient_max_repings", - "max # of times to re-ping a datacenter", - generate_hash("ds_pingclient_max_repings") - }, - { - "ds_pingclient_maxpings", - "max pings to send per datacenter", - generate_hash("ds_pingclient_maxpings") - }, - { - "ds_pingclient_maxpings_per_tick", - "max new pings each tick", - generate_hash("ds_pingclient_maxpings_per_tick") - }, - { - "ds_pingclient_min_reping_delay", - "min msec delay between re-pings", - generate_hash("ds_pingclient_min_reping_delay") - }, - { - "ds_pingclient_min_reping_latency", - "don't re-ping a datacenter if latency is less than this", - generate_hash("ds_pingclient_min_reping_latency") - }, - { - "ds_pingclient_minpings", - "min responses required per datacenter", - generate_hash("ds_pingclient_minpings") - }, - { - "ds_pingclient_odsf", - "does dsping set odsf flag", - generate_hash("ds_pingclient_odsf") - }, - { - "dsping_dc_0", - "", - generate_hash("dsping_dc_0") - }, - { - "dsping_dc_1", - "", - generate_hash("dsping_dc_1") - }, - { - "dsping_dc_10", - "", - generate_hash("dsping_dc_10") - }, - { - "dsping_dc_11", - "", - generate_hash("dsping_dc_11") - }, - { - "dsping_dc_12", - "", - generate_hash("dsping_dc_12") - }, - { - "dsping_dc_13", - "", - generate_hash("dsping_dc_13") - }, - { - "dsping_dc_14", - "", - generate_hash("dsping_dc_14") - }, - { - "dsping_dc_15", - "", - generate_hash("dsping_dc_15") - }, - { - "dsping_dc_16", - "", - generate_hash("dsping_dc_16") - }, - { - "dsping_dc_17", - "", - generate_hash("dsping_dc_17") - }, - { - "dsping_dc_18", - "", - generate_hash("dsping_dc_18") - }, - { - "dsping_dc_19", - "", - generate_hash("dsping_dc_19") - }, - { - "dsping_dc_2", - "", - generate_hash("dsping_dc_2") - }, - { - "dsping_dc_20", - "", - generate_hash("dsping_dc_20") - }, - { - "dsping_dc_21", - "", - generate_hash("dsping_dc_21") - }, - { - "dsping_dc_22", - "", - generate_hash("dsping_dc_22") - }, - { - "dsping_dc_23", - "", - generate_hash("dsping_dc_23") - }, - { - "dsping_dc_24", - "", - generate_hash("dsping_dc_24") - }, - { - "dsping_dc_25", - "", - generate_hash("dsping_dc_25") - }, - { - "dsping_dc_26", - "", - generate_hash("dsping_dc_26") - }, - { - "dsping_dc_27", - "", - generate_hash("dsping_dc_27") - }, - { - "dsping_dc_28", - "", - generate_hash("dsping_dc_28") - }, - { - "dsping_dc_29", - "", - generate_hash("dsping_dc_29") - }, - { - "dsping_dc_3", - "", - generate_hash("dsping_dc_3") - }, - { - "dsping_dc_30", - "", - generate_hash("dsping_dc_30") - }, - { - "dsping_dc_31", - "", - generate_hash("dsping_dc_31") - }, - { - "dsping_dc_32", - "", - generate_hash("dsping_dc_32") - }, - { - "dsping_dc_33", - "", - generate_hash("dsping_dc_33") - }, - { - "dsping_dc_34", - "", - generate_hash("dsping_dc_34") - }, - { - "dsping_dc_35", - "", - generate_hash("dsping_dc_35") - }, - { - "dsping_dc_36", - "", - generate_hash("dsping_dc_36") - }, - { - "dsping_dc_37", - "", - generate_hash("dsping_dc_37") - }, - { - "dsping_dc_38", - "", - generate_hash("dsping_dc_38") - }, - { - "dsping_dc_39", - "", - generate_hash("dsping_dc_39") - }, - { - "dsping_dc_4", - "", - generate_hash("dsping_dc_4") - }, - { - "dsping_dc_40", - "", - generate_hash("dsping_dc_40") - }, - { - "dsping_dc_41", - "", - generate_hash("dsping_dc_41") - }, - { - "dsping_dc_42", - "", - generate_hash("dsping_dc_42") - }, - { - "dsping_dc_43", - "", - generate_hash("dsping_dc_43") - }, - { - "dsping_dc_44", - "", - generate_hash("dsping_dc_44") - }, - { - "dsping_dc_45", - "", - generate_hash("dsping_dc_45") - }, - { - "dsping_dc_46", - "", - generate_hash("dsping_dc_46") - }, - { - "dsping_dc_47", - "", - generate_hash("dsping_dc_47") - }, - { - "dsping_dc_48", - "", - generate_hash("dsping_dc_48") - }, - { - "dsping_dc_49", - "", - generate_hash("dsping_dc_49") - }, - { - "dsping_dc_5", - "", - generate_hash("dsping_dc_5") - }, - { - "dsping_dc_50", - "", - generate_hash("dsping_dc_50") - }, - { - "dsping_dc_51", - "", - generate_hash("dsping_dc_51") - }, - { - "dsping_dc_52", - "", - generate_hash("dsping_dc_52") - }, - { - "dsping_dc_53", - "", - generate_hash("dsping_dc_53") - }, - { - "dsping_dc_54", - "", - generate_hash("dsping_dc_54") - }, - { - "dsping_dc_55", - "", - generate_hash("dsping_dc_55") - }, - { - "dsping_dc_56", - "", - generate_hash("dsping_dc_56") - }, - { - "dsping_dc_57", - "", - generate_hash("dsping_dc_57") - }, - { - "dsping_dc_58", - "", - generate_hash("dsping_dc_58") - }, - { - "dsping_dc_59", - "", - generate_hash("dsping_dc_59") - }, - { - "dsping_dc_6", - "", - generate_hash("dsping_dc_6") - }, - { - "dsping_dc_60", - "", - generate_hash("dsping_dc_60") - }, - { - "dsping_dc_61", - "", - generate_hash("dsping_dc_61") - }, - { - "dsping_dc_62", - "", - generate_hash("dsping_dc_62") - }, - { - "dsping_dc_63", - "", - generate_hash("dsping_dc_63") - }, - { - "dsping_dc_7", - "", - generate_hash("dsping_dc_7") - }, - { - "dsping_dc_8", - "", - generate_hash("dsping_dc_8") - }, - { - "dsping_dc_9", - "", - generate_hash("dsping_dc_9") - }, - { - "dvl", - "Enables the data validation system. Only available in non-retail builds.", - generate_hash("dvl") - }, - { - "dw_addrHandleTimeout", - "Delay before destroying an addrHandle after the connection is lost\n", - generate_hash("dw_addrHandleTimeout") - }, - { - "dw_leaderboard_write_active", - "Are leaderboard writes enabled", - generate_hash("dw_leaderboard_write_active") - }, - { - "dw_presence_active", - "Is the demonware presence system enabled", - generate_hash("dw_presence_active") - }, - { - "dw_presence_coop_join_active", - "Do we allow players to join on presence for private coop matches (post session to demonware", - generate_hash("dw_presence_coop_join_active") - }, - { - "dw_presence_get_delay", - "Number of milliseconds to wait after booting the game to fetch demonware presence", - generate_hash("dw_presence_get_delay") - }, - { - "dw_presence_get_rate", - "Number of milliseconds to wait between sending presence state to demonware", - generate_hash("dw_presence_get_rate") - }, - { - "dw_presence_put_delay", - "Number of milliseconds to wait in a presence state before sending to demonware", - generate_hash("dw_presence_put_delay") - }, - { - "dw_presence_put_rate", - "Number of milliseconds to wait between sending presence state to demonware", - generate_hash("dw_presence_put_rate") - }, - { - "dw_region_lookup_timeout", - "Timeout (in MS) after which we will accept not having found a region code and use the default", - generate_hash("dw_region_lookup_timeout") - }, - { - "dw_shared_presence_active", - "Is the demonware shared presence system enabled", - generate_hash("dw_shared_presence_active") - }, - { - "dw_shared_presence_get_delay", - "Number of milliseconds to wait after booting the game to fetch demonware presence", - generate_hash("dw_shared_presence_get_delay") - }, - { - "dw_shared_presence_get_rate", - "Number of milliseconds to wait between sending presence state to demonware", - generate_hash("dw_shared_presence_get_rate") - }, - { - "dw_shared_presence_put_delay", - "Number of milliseconds to wait in a shared presence state before sending to demonware", - generate_hash("dw_shared_presence_put_delay") - }, - { - "dw_shared_presence_put_rate", - "Number of milliseconds to wait between sending presence state to demonware", - generate_hash("dw_shared_presence_put_rate") - }, - { - "dwBandwidthTestTaskTimeout", - "default timeout for the bandwidth test task (in ms). 0 means no timeout", - generate_hash("dwBandwidthTestTaskTimeout") - }, - { - "dynEnt_active", - "Disable/enable dynent reactions", - generate_hash("dynEnt_active") - }, - { - "dynEnt_playerWakeUpRadius", - "Determines threshold distance from player within which all dynents are woken up.", - generate_hash("dynEnt_playerWakeUpRadius") - }, - { - "dynEnt_playerWakeUpZOffset", - "Determines vertical distance from player's feet from which wake up sphere is centered.", - generate_hash("dynEnt_playerWakeUpZOffset") - }, - { - "elite_clan_active", - "Are we allowed to show Elite Clans or not", - generate_hash("elite_clan_active") - }, - { - "elite_clan_cool_off_time", - "Cool off time between calls to fetch the elite clan", - generate_hash("elite_clan_cool_off_time") - }, - { - "elite_clan_delay", - "Delay before the bdTeams calls start to Demonware. -1 means On-Demand and it will wait until the 'starteliteclan' menu call", - generate_hash("elite_clan_delay") - }, - { - "elite_clan_division_icon_active", - "Are we allowed to show Elite Clan division icon or not", - generate_hash("elite_clan_division_icon_active") - }, - { - "elite_clan_get_blob_profile_max_retry_time", - "Max time that the Elite Clan get private profile can retry", - generate_hash("elite_clan_get_blob_profile_max_retry_time") - }, - { - "elite_clan_get_blob_profile_retry_step", - "Step in m/s for the Elite Clan get private profile retry", - generate_hash("elite_clan_get_blob_profile_retry_step") - }, - { - "elite_clan_get_clan_max_retry_time", - "Max time that the Elite Clan get clan can retry", - generate_hash("elite_clan_get_clan_max_retry_time") - }, - { - "elite_clan_get_clan_retry_step", - "Step in m/s for the Elite Clan get clan retry", - generate_hash("elite_clan_get_clan_retry_step") - }, - { - "elite_clan_get_members_max_retry_time", - "Max time that the Elite Clan get members can retry", - generate_hash("elite_clan_get_members_max_retry_time") - }, - { - "elite_clan_get_members_retry_step", - "Step in m/s for the Elite Clan get members retry", - generate_hash("elite_clan_get_members_retry_step") - }, - { - "elite_clan_get_private_member_profile_max_retry_time", - "Max time that the Elite Clan get private profile can retry", - generate_hash("elite_clan_get_private_member_profile_max_retry_time") - }, - { - "elite_clan_get_private_member_profile_retry_step", - "Step in m/s for the Elite Clan get private profile retry", - generate_hash("elite_clan_get_private_member_profile_retry_step") - }, - { - "elite_clan_get_public_profile_max_retry_time", - "Max time that the Elite Clan get public profile can retry", - generate_hash("elite_clan_get_public_profile_max_retry_time") - }, - { - "elite_clan_get_public_profile_retry_step", - "Step in m/s for the Elite Clan get public profile retry", - generate_hash("elite_clan_get_public_profile_retry_step") - }, - { - "elite_clan_get_team_stats_max_retry_time", - "Max time that the Elite Clan get team stats can retry", - generate_hash("elite_clan_get_team_stats_max_retry_time") - }, - { - "elite_clan_get_team_stats_retry_step", - "Step in m/s for the Elite Clan get team stats retry", - generate_hash("elite_clan_get_team_stats_retry_step") - }, - { - "elite_clan_motd_throttle_time", - "Throttle time between motd update calls", - generate_hash("elite_clan_motd_throttle_time") - }, - { - "elite_clan_remote_view_active", - "Are we allowed to view the clans for remote players", - generate_hash("elite_clan_remote_view_active") - }, - { - "elite_clan_remote_view_max_retry_time", - "Max time that the Elite Clan remote viewing can retry", - generate_hash("elite_clan_remote_view_max_retry_time") - }, - { - "elite_clan_remote_view_retry_step", - "Step in m/s for the retry for viewing a remote Elite Clan", - generate_hash("elite_clan_remote_view_retry_step") - }, - { - "elite_clan_send_message_to_members_max_retry_time", - "Max time that the Elite Clan send message to members can retry", - generate_hash("elite_clan_send_message_to_members_max_retry_time") - }, - { - "elite_clan_send_message_to_members_retry_step", - "Step in m/s for the Elite Clan send message to members retry", - generate_hash("elite_clan_send_message_to_members_retry_step") - }, - { - "elite_clan_set_private_member_profile_max_retry_time", - "Max time that the Elite Clan set private member profile can retry", - generate_hash("elite_clan_set_private_member_profile_max_retry_time") - }, - { - "elite_clan_set_private_member_profile_retry_step", - "Step in m/s for the Elite Clan set private member profile retry", - generate_hash("elite_clan_set_private_member_profile_retry_step") - }, - { - "elite_clan_single_task_popup_text", - "String to be displayed on popup when a single task is being performed", - generate_hash("elite_clan_single_task_popup_text") - }, - { - "elite_clan_using_title", - "Stores whether the Elite Clan title is in use by the user", - generate_hash("elite_clan_using_title") - }, - { - "emblems_active", - "Are we allowed to enable Emblems or not", - generate_hash("emblems_active") - }, - { - "enable_recordRecentActivity", - "records the timestamp of when the player was recently active to the tracker leaderboards", - generate_hash("enable_recordRecentActivity") - }, - { - "enableReportingRegisteredParties", - "If true then party membership data and host status will be reported in matchdata blob.", - generate_hash("enableReportingRegisteredParties") - }, - { - "entitlements_active", - "Are we allowed to show Entitlements or not", - generate_hash("entitlements_active") - }, - { - "entitlements_config_file_max_retry_time", - "Max time that the Entitlements config file read can retry", - generate_hash("entitlements_config_file_max_retry_time") - }, - { - "entitlements_config_file_retry_step", - "Step in m/s for the Entitlements config file read retry", - generate_hash("entitlements_config_file_retry_step") - }, - { - "entitlements_cool_off_time", - "Cool off time between calls to fetch the elite clan", - generate_hash("entitlements_cool_off_time") - }, - { - "entitlements_delay", - "Delay before the entitlement calls start to Demonware. -1 means On-Demand and it will wait until the 'startentitlements' menu call", - generate_hash("entitlements_delay") - }, - { - "entitlements_key_archive_max_retry_time", - "Max time that the Entitlements key archive read can retry", - generate_hash("entitlements_key_archive_max_retry_time") - }, - { - "entitlements_key_archive_retry_step", - "Step in m/s for the Entitlements key archive read retry", - generate_hash("entitlements_key_archive_retry_step") - }, - { - "entitlementSystemOk", - "Set by the game to inform that the entitlement system is initialised", - generate_hash("entitlementSystemOk") - }, - { - "facebook_active", - "Are we allowed to show Facebook or not", - generate_hash("facebook_active") - }, - { - "facebook_delay", - "Delay before the Facebook calls start to Demonware. -1 means On-Demand and it will wait until the 'startfacebook' menu call", - generate_hash("facebook_delay") - }, - { - "facebook_friends_active", - "Are we allowed to show Facebook Friends or not", - generate_hash("facebook_friends_active") - }, - { - "facebook_friends_max_retry_time", - "Max time that the Facebook friends read can retry", - generate_hash("facebook_friends_max_retry_time") - }, - { - "facebook_friends_refresh_time", - "Time in seconds between Facebook friend refreshes", - generate_hash("facebook_friends_refresh_time") - }, - { - "facebook_friends_retry_step", - "Step in m/s for the Facebook friends read retry", - generate_hash("facebook_friends_retry_step") - }, - { - "facebook_friends_showing_count", - "Contains how many facebook friends are being shown in the UI.", - generate_hash("facebook_friends_showing_count") - }, - { - "facebook_friends_throttle_time", - "Throttle time between Facebook friend pages", - generate_hash("facebook_friends_throttle_time") - }, - { - "facebook_max_retry_time", - "Max time that the Facebook authentication can retry", - generate_hash("facebook_max_retry_time") - }, - { - "facebook_password", - "Facebook Password", - generate_hash("facebook_password") - }, - { - "facebook_password_asterisk", - "Facebook Password (Asterisk Version)", - generate_hash("facebook_password_asterisk") - }, - { - "facebook_popup_text", - "Facebook Popup Text", - generate_hash("facebook_popup_text") - }, - { - "facebook_retry_step", - "Step in m/s for the Facebook authentication retry", - generate_hash("facebook_retry_step") - }, - { - "facebook_upload_photo_active", - "Are we allowed to Upload Photos to Facebook or not", - generate_hash("facebook_upload_photo_active") - }, - { - "facebook_upload_video_active", - "Are we allowed to Upload Videos to Facebook or not", - generate_hash("facebook_upload_video_active") - }, - { - "facebook_username", - "Facebook Username", - generate_hash("facebook_username") - }, - { - "fixedtime", - "Use a fixed time rate for each frame", - generate_hash("fixedtime") - }, - { - "FoFIconMaxSize", - "Maximum size a Friend-or-Foe icon should ever grow to.", - generate_hash("FoFIconMaxSize") - }, - { - "FoFIconMinSize", - "Minimum size a Friend-or-Foe icon should ever shrink to.", - generate_hash("FoFIconMinSize") - }, - { - "FoFIconScale", - "Base scale of Friend-or-Foe icons.", - generate_hash("FoFIconScale") - }, - { - "FoFIconSpawnTimeDelay", - "How long to wait, after spawning, before showing the Friend-or-Foe icon on a player.", - generate_hash("FoFIconSpawnTimeDelay") - }, - { - "FoFIconSpawnTimeFade", - "Length of the Friend-or-Foe icons' fade-ins.", - generate_hash("FoFIconSpawnTimeFade") - }, - { - "friendsCacheSteamFriends", - "Use cache of steam friends before querying steam api", - generate_hash("friendsCacheSteamFriends") - }, - { - "friendsMaxSteamLookupsPerFrame", - "Number of steam friends to query steam status per frame when doing a refresh.\n", - generate_hash("friendsMaxSteamLookupsPerFrame") - }, - { - "friendsWidgetMinimumRefreshTimer", - "Minimum delay before refreshing friends data if you aren't on the friends screen\n", - generate_hash("friendsWidgetMinimumRefreshTimer") - }, - { - "fs_basegame", - "Base game name", - generate_hash("fs_basegame") - }, - { - "fs_basepath", - "Base game path", - generate_hash("fs_basepath") - }, - { - "fs_basepath_output", - "Base game path", - generate_hash("fs_basepath_output") - }, - { - "fs_cdpath", - "CD path", - generate_hash("fs_cdpath") - }, - { - "fs_copyfiles", - "Copy all used files to another location", - generate_hash("fs_copyfiles") - }, - { - "fs_debug", - "Enable file system debugging information", - generate_hash("fs_debug") - }, - { - "fs_game", - "Game data directory. Must be \"\" or a sub directory of 'mods/'.", - generate_hash("fs_game") - }, - { - "fs_homepath", - "Game home path", - generate_hash("fs_homepath") - }, - { - "fs_ignoreLocalized", - "Ignore localized assets", - generate_hash("fs_ignoreLocalized") - }, - { - "fx_alphaThreshold", - "Don't draw billboard sprites, oriented sprites or tails with alpha below this threshold (0-256).", - generate_hash("fx_alphaThreshold") - }, - { - "fx_cast_shadow", - "Enable transparency shadow mapping from script", - generate_hash("fx_cast_shadow") - }, - { - "fx_count", - "Debug effects count", - generate_hash("fx_count") - }, - { - "fx_cull_elem_draw", - "Culls effect elems for drawing", - generate_hash("fx_cull_elem_draw") - }, - { - "fx_cull_elem_draw_flicker", - "Flicker DPVS culled effect elems", - generate_hash("fx_cull_elem_draw_flicker") - }, - { - "fx_cull_elem_spawn", - "Culls effect elems for spawning", - generate_hash("fx_cull_elem_spawn") - }, - { - "fx_debugBolt", - "Debug effects bolt", - generate_hash("fx_debugBolt") - }, - { - "fx_deferelem", - "Toggles deferred processing of elements instead of effects", - generate_hash("fx_deferelem") - }, - { - "fx_dpvs_cull_elem_draw", - "Culls effect elems for drawing using DPVS(2: ignore per-effect portal culling flag)", - generate_hash("fx_dpvs_cull_elem_draw") - }, - { - "fx_draw", - "", - generate_hash("fx_draw") - }, - { - "fx_draw_omniLight", - "", - generate_hash("fx_draw_omniLight") - }, - { - "fx_draw_simd", - "Draw effects using SIMD / Vector code.", - generate_hash("fx_draw_simd") - }, - { - "fx_draw_spotLight", - "", - generate_hash("fx_draw_spotLight") - }, - { - "fx_drawClouds", - "Toggles the drawing of particle clouds", - generate_hash("fx_drawClouds") - }, - { - "fx_enable", - "Toggles all effects processing", - generate_hash("fx_enable") - }, - { - "fx_flare", - "Toggles fx flare", - generate_hash("fx_flare") - }, - { - "fx_freeze", - "Freeze effects", - generate_hash("fx_freeze") - }, - { - "fx_killEffectOnRewind", - "Causes effects that have been marked for a soft kill (fade out) to be killed immediately on a rewind.", - generate_hash("fx_killEffectOnRewind") - }, - { - "fx_lightGridSampleOffset", - "the length of effect sample's offset along X Axis", - generate_hash("fx_lightGridSampleOffset") - }, - { - "fx_mark_profile", - "Turn on FX profiling for marks (specify which local client, with '1' being the first.)", - generate_hash("fx_mark_profile") - }, - { - "fx_marks", - "Toggles whether bullet hits leave marks", - generate_hash("fx_marks") - }, - { - "fx_marks_ents", - "Toggles whether bullet hits leave marks", - generate_hash("fx_marks_ents") - }, - { - "fx_marks_nearlimit", - "Sets limit of number of decals that can exist at the same location (0 for unlimited)", - generate_hash("fx_marks_nearlimit") - }, - { - "fx_marks_smodels", - "Toggles whether bullet hits leave marks", - generate_hash("fx_marks_smodels") - }, - { - "fx_physicsImpactVelocityThreshold", - "Set the min normal velocity threshold in order for model physics fx to generate child impact effects.", - generate_hash("fx_physicsImpactVelocityThreshold") - }, - { - "fx_profile", - "Turn on FX profiling (specify which local client, with '1' being the first.)", - generate_hash("fx_profile") - }, - { - "fx_profileFilter", - "Only show effects with this as a substring in FX profile", - generate_hash("fx_profileFilter") - }, - { - "fx_profileFilterElemCountZero", - "Do not include FX that have a zero element count", - generate_hash("fx_profileFilterElemCountZero") - }, - { - "fx_profileSkip", - "Skip the first n lines in FX profile (to see ones off bottom of screen)", - generate_hash("fx_profileSkip") - }, - { - "fx_profileSort", - "Choose sort criteria for FX profiling", - generate_hash("fx_profileSort") - }, - { - "fx_showLightGridSampleOffset", - "show light grid sample offset in CreateFX mode", - generate_hash("fx_showLightGridSampleOffset") - }, - { - "fx_visMinTraceDist", - "Minimum visibility trace size", - generate_hash("fx_visMinTraceDist") - }, - { - "g_ai", - "Enable AI", - generate_hash("g_ai") - }, - { - "g_allowVote", - "Enable voting on this server", - generate_hash("g_allowVote") - }, - { - "g_atmosFogDistanceScaleReadOnly", - "scale applied to scene distance used for atmospheric fog calculation", - generate_hash("g_atmosFogDistanceScaleReadOnly") - }, - { - "g_atmosFogEnabledReadOnly", - "use atmospheric fog", - generate_hash("g_atmosFogEnabledReadOnly") - }, - { - "g_atmosFogExtinctionStrengthReadOnly", - "scale out scatter contribution of atmospheric fog", - generate_hash("g_atmosFogExtinctionStrengthReadOnly") - }, - { - "g_atmosFogHalfPlaneDistanceReadOnly", - "distance at which atmospheric fog contributes half the pixels color", - generate_hash("g_atmosFogHalfPlaneDistanceReadOnly") - }, - { - "g_atmosFogHazeSpreadReadOnly", - "directionality of haze (1ReadOnly = all forward scatter, 0ReadOnly = all back scatter)", - generate_hash("g_atmosFogHazeSpreadReadOnly") - }, - { - "g_atmosFogHazeStrengthReadOnly", - "portion of atmospheric fog density that is haze (0ReadOnly = all fog, 1ReadOnly = all haze)", - generate_hash("g_atmosFogHazeStrengthReadOnly") - }, - { - "g_atmosFogHeightFogBaseHeightReadOnly", - "height fog is full density at this world height and below", - generate_hash("g_atmosFogHeightFogBaseHeightReadOnly") - }, - { - "g_atmosFogHeightFogEnabledReadOnly", - "use height for atmospheric fog", - generate_hash("g_atmosFogHeightFogEnabledReadOnly") - }, - { - "g_atmosFogHeightFogHalfPlaneDistanceReadOnly", - "at this distance above g_atmosFogHeightFogBaseHeight, height fog density is half", - generate_hash("g_atmosFogHeightFogHalfPlaneDistanceReadOnly") - }, - { - "g_atmosFogInScatterStrengthReadOnly", - "scale in scatter contribution of atmospheric fog", - generate_hash("g_atmosFogInScatterStrengthReadOnly") - }, - { - "g_atmosFogSkyAngularFalloffEnabledReadOnly", - "use angular sky falloff for atmospheric fog", - generate_hash("g_atmosFogSkyAngularFalloffEnabledReadOnly") - }, - { - "g_atmosFogSkyDistanceReadOnly", - "distance used for sky box when applying atmospheric fog", - generate_hash("g_atmosFogSkyDistanceReadOnly") - }, - { - "g_atmosFogSkyFalloffAngleRangeReadOnly", - "sky fog angular falloff angle range sky fog falls off over this range from the start angle", - generate_hash("g_atmosFogSkyFalloffAngleRangeReadOnly") - }, - { - "g_atmosFogSkyFalloffStartAngleReadOnly", - "sky fog angular falloff start angle (full strength fog at this angle)", - generate_hash("g_atmosFogSkyFalloffStartAngleReadOnly") - }, - { - "g_atmosFogStartDistanceReadOnly", - "distance from camera at which fog contribution begins", - generate_hash("g_atmosFogStartDistanceReadOnly") - }, - { - "g_atmosFogSunDirectionReadOnly", - "sun direction used when calculating atmospheric fog", - generate_hash("g_atmosFogSunDirectionReadOnly") - }, - { - "g_banIPs", - "IP addresses to ban from playing", - generate_hash("g_banIPs") - }, - { - "g_clonePlayerMaxVelocity", - "Maximum velocity in each axis of a cloned player\n(for death animations)", - generate_hash("g_clonePlayerMaxVelocity") - }, - { - "g_deadChat", - "Allow dead players to chat with living players", - generate_hash("g_deadChat") - }, - { - "g_dropForwardSpeed", - "Forward speed of a dropped item", - generate_hash("g_dropForwardSpeed") - }, - { - "g_dropHorzSpeedRand", - "Random component of the initial horizontal speed of a dropped item", - generate_hash("g_dropHorzSpeedRand") - }, - { - "g_dropUpSpeedBase", - "Base component of the initial vertical speed of a dropped item", - generate_hash("g_dropUpSpeedBase") - }, - { - "g_dropUpSpeedRand", - "Random component of the initial vertical speed of a dropped item", - generate_hash("g_dropUpSpeedRand") - }, - { - "g_earthquakeEnable", - "Enable camera shake", - generate_hash("g_earthquakeEnable") - }, - { - "g_fogColorIntensityReadOnly", - "HDR fog color intensity that was set in the most recent call to \"setexpfog\"", - generate_hash("g_fogColorIntensityReadOnly") - }, - { - "g_fogColorReadOnly", - "Fog color that was set in the most recent call to \"setexpfog\"", - generate_hash("g_fogColorReadOnly") - }, - { - "g_fogHalfDistReadOnly", - "", - generate_hash("g_fogHalfDistReadOnly") - }, - { - "g_fogMaxOpacityReadOnly", - "Fog max opacity that was set in the most recent call to \"setexpfog\"", - generate_hash("g_fogMaxOpacityReadOnly") - }, - { - "g_fogStartDistReadOnly", - "", - generate_hash("g_fogStartDistReadOnly") - }, - { - "g_friendlyfireDist", - "Maximum range for disabling fire at a friendly", - generate_hash("g_friendlyfireDist") - }, - { - "g_friendlyNameDist", - "Maximum range for seeing a friendly's name", - generate_hash("g_friendlyNameDist") - }, - { - "g_gametype", - "The current game mode", - generate_hash("g_gametype") - }, - { - "g_giveAll", - "Give all weapons", - generate_hash("g_giveAll") - }, - { - "g_hardcore", - "Hardcore?", - generate_hash("g_hardcore") - }, - { - "g_heightFogBaseHeightReadOnly", - "height fog is full density at this world height and below", - generate_hash("g_heightFogBaseHeightReadOnly") - }, - { - "g_heightFogEnabledReadOnly", - "use height for normal/sun fog, set in the most recent call to \"setexpfog\"", - generate_hash("g_heightFogEnabledReadOnly") - }, - { - "g_heightFogHalfPlaneDistanceReadOnly", - "at this distance above g_heightFogBaseHeight, height fog density is half, set in the most recent call to \"setexpfog\"", - generate_hash("g_heightFogHalfPlaneDistanceReadOnly") - }, - { - "g_inactivity", - "Time delay before player is kicked for inactivity", - generate_hash("g_inactivity") - }, - { - "g_keyboarduseholdtime", - "The time to hold down the 'use' button to activate a 'use' command on a keyboard", - generate_hash("g_keyboarduseholdtime") - }, - { - "g_knockback", - "Maximum knockback", - generate_hash("g_knockback") - }, - { - "g_lagged_damage_threshold", - "Threshold (ms) beyond which we will report a damaged lagged client to the tracker leaderboards.", - generate_hash("g_lagged_damage_threshold") - }, - { - "g_listEntity", - "List the entities", - generate_hash("g_listEntity") - }, - { - "g_mantleBlockTimeBuffer", - "Time that the client think is delayed after mantling", - generate_hash("g_mantleBlockTimeBuffer") - }, - { - "g_maxDroppedWeapons", - "Maximum number of dropped weapons", - generate_hash("g_maxDroppedWeapons") - }, - { - "g_minGrenadeDamageSpeed", - "Minimum speed at which getting hit be a grenade will do damage (not the grenade explosion damage)", - generate_hash("g_minGrenadeDamageSpeed") - }, - { - "g_oldschool", - "Oldschool?", - generate_hash("g_oldschool") - }, - { - "g_password", - "Password", - generate_hash("g_password") - }, - { - "g_playerCollisionEjectSpeed", - "Speed at which to push intersecting players away from each other", - generate_hash("g_playerCollisionEjectSpeed") - }, - { - "g_ScoresColor_Allies", - "Allies team color on scoreboard", - generate_hash("g_ScoresColor_Allies") - }, - { - "g_ScoresColor_Axis", - "Axis team color on scoreboard", - generate_hash("g_ScoresColor_Axis") - }, - { - "g_ScoresColor_EnemyTeam", - "Enemy team color on scoreboard", - generate_hash("g_ScoresColor_EnemyTeam") - }, - { - "g_ScoresColor_Free", - "Free Team color on scoreboard", - generate_hash("g_ScoresColor_Free") - }, - { - "g_ScoresColor_MyParty", - "Player team color on scoreboard when in the same party", - generate_hash("g_ScoresColor_MyParty") - }, - { - "g_ScoresColor_MyTeam", - "Player team color on scoreboard", - generate_hash("g_ScoresColor_MyTeam") - }, - { - "g_ScoresColor_Spectator", - "Spectator team color on scoreboard", - generate_hash("g_ScoresColor_Spectator") - }, - { - "g_scriptMainMenu", - "", - generate_hash("g_scriptMainMenu") - }, - { - "g_sunFogBeginFadeAngleReadOnly", - "Angle from the sun direction to start fade away from the sun fog color that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogBeginFadeAngleReadOnly") - }, - { - "g_sunFogColorIntensityReadOnly", - "HDR sun fog color intensity that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogColorIntensityReadOnly") - }, - { - "g_sunFogColorReadOnly", - "Sun fog color that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogColorReadOnly") - }, - { - "g_sunFogDirReadOnly", - "Sun fog direction that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogDirReadOnly") - }, - { - "g_sunFogEnabledReadOnly", - "Sun fog was enabled in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogEnabledReadOnly") - }, - { - "g_sunFogEndFadeAngleReadOnly", - "Angle from the sun direction to end fade away from the sun fog color that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogEndFadeAngleReadOnly") - }, - { - "g_sunFogScaleReadOnly", - "Distance scale in the sun fog direction that was set in the most recent call to \"setexpfog\"", - generate_hash("g_sunFogScaleReadOnly") - }, - { - "g_TeamIcon_Allies", - "Icon name for the allied scores banner", - generate_hash("g_TeamIcon_Allies") - }, - { - "g_TeamIcon_Axis", - "Icon name for the axis scores banner", - generate_hash("g_TeamIcon_Axis") - }, - { - "g_TeamIcon_EnemyAllies", - "Icon name for the allied scores banner", - generate_hash("g_TeamIcon_EnemyAllies") - }, - { - "g_TeamIcon_EnemyAxis", - "Icon name for the axis scores banner when you're on axis.", - generate_hash("g_TeamIcon_EnemyAxis") - }, - { - "g_TeamIcon_Free", - "Icon name for the scores of players with no team", - generate_hash("g_TeamIcon_Free") - }, - { - "g_TeamIcon_MyAllies", - "Icon name for the allied scores banner", - generate_hash("g_TeamIcon_MyAllies") - }, - { - "g_TeamIcon_MyAxis", - "Icon name for the axis scores banner when you're on axis.", - generate_hash("g_TeamIcon_MyAxis") - }, - { - "g_TeamIcon_Spectator", - "Icon name for the scores of players who are spectators", - generate_hash("g_TeamIcon_Spectator") - }, - { - "g_TeamName_Allies", - "Allied team name", - generate_hash("g_TeamName_Allies") - }, - { - "g_TeamName_Axis", - "Axis team name", - generate_hash("g_TeamName_Axis") - }, - { - "g_TeamTitleColor_EnemyTeam", - "Enemy team color for titles", - generate_hash("g_TeamTitleColor_EnemyTeam") - }, - { - "g_TeamTitleColor_MyTeam", - "Player team color for titles", - generate_hash("g_TeamTitleColor_MyTeam") - }, - { - "g_TeamTitleColor_Spectator", - "Spectator team color for titles", - generate_hash("g_TeamTitleColor_Spectator") - }, - { - "g_useholdspawndelay", - "Time in milliseconds that the player is unable to 'use' after spawning", - generate_hash("g_useholdspawndelay") - }, - { - "g_useholdtime", - "Time to hold the 'use' button to activate use on a gamepad", - generate_hash("g_useholdtime") - }, - { - "g_voiceChatTalkingDuration", - "Time after the last talk packet was received that the player is considered by the\nserver to still be talking in milliseconds", - generate_hash("g_voiceChatTalkingDuration") - }, - { - "g_gravity", - "Game gravity in inches per second squared", - generate_hash("g_gravity") - }, - { - "g_speed", - "changes the speed of the player", - generate_hash("g_speed") - }, - { - "gamedate", - "The date compiled", - generate_hash("gamedate") - }, - { - "gamedvr_active", - "Are we allowed to enable GameDVR or not", - generate_hash("gamedvr_active") - }, - { - "gameMode", - "Current gameMode", - generate_hash("gameMode") - }, - { - "gamename", - "The name of the game", - generate_hash("gamename") - }, - { - "glass_angular_vel", - "Sets the range of angular velocities used by new glass pieces", - generate_hash("glass_angular_vel") - }, - { - "glass_beamDamage", - "The amount of damage beam attacks do to glass", - generate_hash("glass_beamDamage") - }, - { - "glass_break", - "Toggle whether or not glass breaks when shot", - generate_hash("glass_break") - }, - { - "glass_crack_pattern_scale", - "The scale applied to the radius used for the crack pattern", - generate_hash("glass_crack_pattern_scale") - }, - { - "glass_damageToDestroy", - "The amount of damage a piece of glass must take to look damaged", - generate_hash("glass_damageToDestroy") - }, - { - "glass_damageToWeaken", - "The amount of damage a piece of glass must take to look damaged", - generate_hash("glass_damageToWeaken") - }, - { - "glass_edge_angle", - "Sets the range of angle deflections used by new glass pieces on a supported edge", - generate_hash("glass_edge_angle") - }, - { - "glass_fall_delay", - "Sets how long a heavy piece supported by a single edge waits before falling, based on glass_fall_ratio", - generate_hash("glass_fall_delay") - }, - { - "glass_fall_gravity", - "Gravity for falling pieces of glass", - generate_hash("glass_fall_gravity") - }, - { - "glass_fall_ratio", - "Ratio of piece area to supporting edge length squared. Below the min, the piece never falls.", - generate_hash("glass_fall_ratio") - }, - { - "glass_fringe_maxcoverage", - "The maximum portion of the original piece of glass that is allowed to remain after the glass shatters", - generate_hash("glass_fringe_maxcoverage") - }, - { - "glass_fringe_maxsize", - "The maximum area for an edge piece of glass when shattering. Pieces larger than this will be broken into smaller ones", - generate_hash("glass_fringe_maxsize") - }, - { - "glass_fx_chance", - "Chance to play an effect on a small piece of glass when it hits the ground", - generate_hash("glass_fx_chance") - }, - { - "glass_hinge_friction", - "Friction used by moving glass pieces when joined like a hinge to a frame", - generate_hash("glass_hinge_friction") - }, - { - "glass_linear_vel", - "Sets the range of linear velocities used by new glass pieces", - generate_hash("glass_linear_vel") - }, - { - "glass_max_pieces_per_frame", - "Maximum number of pieces to create in one frame. This is a guideline and not a hard limit.", - generate_hash("glass_max_pieces_per_frame") - }, - { - "glass_max_shatter_fx_per_frame", - "Maximum number of shatter effects to play in one frame This is a guideline and not a hard limit.", - generate_hash("glass_max_shatter_fx_per_frame") - }, - { - "glass_meleeDamage", - "The amount of damage melee attacks do to glass", - generate_hash("glass_meleeDamage") - }, - { - "glass_physics_chance", - "The chance for a given shard of glass to use physics", - generate_hash("glass_physics_chance") - }, - { - "glass_physics_maxdist", - "The maximum distance of a glass piece from the player to do physics", - generate_hash("glass_physics_maxdist") - }, - { - "glass_radiusDamageMultiplier", - "The amount to scale damage to glass from grenades and other explosions", - generate_hash("glass_radiusDamageMultiplier") - }, - { - "glass_shard_maxsize", - "The maximum area for a flying piece of glass when shattering. Pieces larger than this will be broken into smaller ones", - generate_hash("glass_shard_maxsize") - }, - { - "glass_shattered_scale", - "The scale of the shattered glass material", - generate_hash("glass_shattered_scale") - }, - { - "glass_trace_interval", - "The length of time, in milliseconds, between glass piece traces", - generate_hash("glass_trace_interval") - }, - { - "gpad_button_deadzone", - "Game pad button deadzone threshhold", - generate_hash("gpad_button_deadzone") - }, - { - "gpad_dpadDebounceTime", - "", - generate_hash("gpad_dpadDebounceTime") - }, - { - "gpad_menu_scroll_delay_first", - "Menu scroll key-repeat delay, for the first repeat, in milliseconds", - generate_hash("gpad_menu_scroll_delay_first") - }, - { - "gpad_menu_scroll_delay_rest_accel", - "Menu scroll key-repeat delay acceleration from start to end, for repeats after the first, in milliseconds per repeat", - generate_hash("gpad_menu_scroll_delay_rest_accel") - }, - { - "gpad_menu_scroll_delay_rest_end", - "Menu scroll key-repeat delay end, for repeats after the first, in milliseconds", - generate_hash("gpad_menu_scroll_delay_rest_end") - }, - { - "gpad_menu_scroll_delay_rest_start", - "Menu scroll key-repeat delay start, for repeats after the first, in milliseconds", - generate_hash("gpad_menu_scroll_delay_rest_start") - }, - { - "gpad_stick_deadzone_max", - "Game pad maximum stick deadzone", - generate_hash("gpad_stick_deadzone_max") - }, - { - "gpad_stick_deadzone_min", - "Game pad minimum stick deadzone", - generate_hash("gpad_stick_deadzone_min") - }, - { - "gpad_stick_pressed", - "Game pad stick pressed threshhold", - generate_hash("gpad_stick_pressed") - }, - { - "gpad_stick_pressed_hysteresis", - "Game pad stick pressed no-change-zone around gpad_stick_pressed to prevent bouncing", - generate_hash("gpad_stick_pressed_hysteresis") - }, - { - "groupDownloadInterval", - "Minimum interval to wait before getting new group counts", - generate_hash("groupDownloadInterval") - }, - { - "groupUploadInterval", - "Minimum interval to wait before setting new group counts", - generate_hash("groupUploadInterval") - }, - { - "heli_barrelMaxVelocity", - "", - generate_hash("heli_barrelMaxVelocity") - }, - { - "heli_barrelRotation", - "How much to rotate the turret barrel when a helicopter fires", - generate_hash("heli_barrelRotation") - }, - { - "heli_barrelSlowdown", - "", - generate_hash("heli_barrelSlowdown") - }, - { - "hiDef", - "True if the game video is running in high-def.", - generate_hash("hiDef") - }, - { - "httpnetfs", - "Stream fastfiles from the specified http server", - generate_hash("httpnetfs") - }, - { - "hud_bloodOverlayLerpRate", - "Rate at which blood overlay fades out", - generate_hash("hud_bloodOverlayLerpRate") - }, - { - "hud_deathQuoteFadeTime", - "The time for the death quote to fade", - generate_hash("hud_deathQuoteFadeTime") - }, - { - "hud_drawHud", - "", - generate_hash("hud_drawHud") - }, - { - "hud_enable", - "Enable hud elements", - generate_hash("hud_enable") - }, - { - "hud_fade_ammodisplay", - "The time for the ammo display to fade in seconds", - generate_hash("hud_fade_ammodisplay") - }, - { - "hud_fade_compass", - "The time for the compass to fade in seconds", - generate_hash("hud_fade_compass") - }, - { - "hud_fade_healthbar", - "The time for the health bar to fade in seconds", - generate_hash("hud_fade_healthbar") - }, - { - "hud_fade_offhand", - "The time for the offhand weapons to fade in seconds", - generate_hash("hud_fade_offhand") - }, - { - "hud_fade_sprint", - "The time for the sprint meter to fade in seconds", - generate_hash("hud_fade_sprint") - }, - { - "hud_flash_period_offhand", - "Offhand weapons flash period on changing weapon", - generate_hash("hud_flash_period_offhand") - }, - { - "hud_flash_time_offhand", - "Offhand weapons flash duration on changing weapon", - generate_hash("hud_flash_time_offhand") - }, - { - "hud_health_pulserate_critical", - "The pulse rate of the 'critical' pulse effect", - generate_hash("hud_health_pulserate_critical") - }, - { - "hud_health_pulserate_injured", - "The pulse rate of the 'injured' pulse effect", - generate_hash("hud_health_pulserate_injured") - }, - { - "hud_health_startpulse_critical", - "The health level at which to start the 'injured' pulse effect", - generate_hash("hud_health_startpulse_critical") - }, - { - "hud_health_startpulse_injured", - "The health level at which to start the 'injured' pulse effect", - generate_hash("hud_health_startpulse_injured") - }, - { - "hudElemPausedBrightness", - "Brightness of the hudelems when the game is paused.", - generate_hash("hudElemPausedBrightness") - }, - { - "hudOutlineDuringADS", - "Turn on the HUD outline (green for friendly, red for enemy) when you are pointing at a player while in ADS.", - generate_hash("hudOutlineDuringADS") - }, - { - "igs_config_dw_filename", - "Name of the configuration file on DW Publisher storage.", - generate_hash("igs_config_dw_filename") - }, - { - "igs_sosp", - "Show Original Season Pass", - generate_hash("igs_sosp") - }, - { - "igs_td", - "Show Trial DLC", - generate_hash("igs_td") - }, - { - "igs_version", - "Version id for the In-game store. Set version number to 0, to disable update.", - generate_hash("igs_version") - }, - { - "in_mouse", - "Initialize the mouse drivers", - generate_hash("in_mouse") - }, - { - "inpubliclobby", - "Currently in a public lobby", - generate_hash("inpubliclobby") - }, - { - "intro", - "Intro movie should play", - generate_hash("intro") - }, - { - "inventory_addEntitlementsToLocalInventory", - "bypass the exchange and directly add entitlements to the local cached player inventory.", - generate_hash("inventory_addEntitlementsToLocalInventory") - }, - { - "inventory_enabled", - "enable/disable the inventory feature", - generate_hash("inventory_enabled") - }, - { - "inventory_enableEntitlementDLCScanning", - "enable scanning of entitlement DLC.", - generate_hash("inventory_enableEntitlementDLCScanning") - }, - { - "inventory_enableRevoke", - "Enable revoke on purchases you no longer have rights to.", - generate_hash("inventory_enableRevoke") - }, - { - "inventory_exchangeEnabled", - "enable/disable the 1st party exchange feature", - generate_hash("inventory_exchangeEnabled") - }, - { - "inventory_exchangeMaxConsumablesPerBoot", - "The maximum number of the same consumable that can be added per boot.", - generate_hash("inventory_exchangeMaxConsumablesPerBoot") - }, - { - "inventory_exchangeRetryBaseMS", - "The amount to delay with each subsequent retry as base value to be multiplied by an exponential factor 1000 = (1000, 2000, 4000, 8000 etc.)", - generate_hash("inventory_exchangeRetryBaseMS") - }, - { - "inventory_exchangeRetryByRound", - "enable/disable retry with exponential delay one round of exchanges at a time (1, 2, 3, 1, 2, 3, 1, 2, 3 etc.), vs exponential delay per exchange (1, 1, 1, 2, 2, 2, 3, 3, 3 etc.)", - generate_hash("inventory_exchangeRetryByRound") - }, - { - "inventory_exchangeRetryMax", - "The number of times to retry for each exchange.", - generate_hash("inventory_exchangeRetryMax") - }, - { - "inventory_excludeEntitlementDLCScanning", - "exclude scanning of entitlement DLC (comma separated list of ids to exclude).", - generate_hash("inventory_excludeEntitlementDLCScanning") - }, - { - "inventory_ignoreDWPushNotification_claimAchievement", - "ignore incoming push notifications from DW to signal item update", - generate_hash("inventory_ignoreDWPushNotification_claimAchievement") - }, - { - "inventory_ignoreDWPushNotification_itemUpdate", - "ignore incoming push notifications from DW to signal item update", - generate_hash("inventory_ignoreDWPushNotification_itemUpdate") - }, - { - "inventory_taskDefaultTimeout", - "default timeout for inventory tasks (in seconds)", - generate_hash("inventory_taskDefaultTimeout") - }, - { - "inventory_taskExchangeTimeout", - "default timeout for inventory exchange tasks (in seconds)", - generate_hash("inventory_taskExchangeTimeout") - }, - { - "inventory_taskGetTimeout", - "default timeout for inventory GET tasks (in seconds)", - generate_hash("inventory_taskGetTimeout") - }, - { - "inventory_triggerExchangeOnContentMount", - "trigger an exchange after mounting new content packs", - generate_hash("inventory_triggerExchangeOnContentMount") - }, - { - "inventory_triggerExchangeOnStoreExit", - "trigger an exchange when exiting the store", - generate_hash("inventory_triggerExchangeOnStoreExit") - }, - { - "iotd_active", - "Is the IOTD system enabled", - generate_hash("iotd_active") - }, - { - "iotd_retry", - "Can the IOTD system retry fetching data from Demonware", - generate_hash("iotd_retry") - }, - { - "jump_slowdownEnable", - "Slow player movement after jumping", - generate_hash("jump_slowdownEnable") - }, - { - "jump_height", - "The maximum height of a player\'s jump", - generate_hash("jump_height") - }, - { - "laserDebug", - "Enables the display of various debug info.", - generate_hash("laserDebug") - }, - { - "laserLightRadius", - "undefined", - generate_hash("laserLightRadius") - }, - { - "laserRadius", - "undefined", - generate_hash("laserRadius") - }, - { - "lb_filter", - "Filter applied to the leaderboard display: ('none','friends','facebook_friends')", - generate_hash("lb_filter") - }, - { - "lb_group", - "GroupID applied to the leaderboard display", - generate_hash("lb_group") - }, - { - "lb_maxrows", - "Maximum number of rows to fetch", - generate_hash("lb_maxrows") - }, - { - "lb_minrefresh", - "Minimum time (in seconds) between leaderboard fetches", - generate_hash("lb_minrefresh") - }, - { - "lb_readDelay", - "Delay time between reads(in milliseconds) between leaderboard fetches", - generate_hash("lb_readDelay") - }, - { - "lb_throttle_time", - "Lobby throttling amount", - generate_hash("lb_throttle_time") - }, - { - "lb_times_in_window", - "Lobby throttling window amount", - generate_hash("lb_times_in_window") - }, - { - "lb_window", - "Lobby throttling window", - generate_hash("lb_window") - }, - { - "live_qosec_firstupdatems", - "MS to wait before deciding to early out qos", - generate_hash("live_qosec_firstupdatems") - }, - { - "live_qosec_lastupdatems", - "MS since last update required to early out qos", - generate_hash("live_qosec_lastupdatems") - }, - { - "live_qosec_minpercent", - "Minimum percentage of probe results required before early outing qos", - generate_hash("live_qosec_minpercent") - }, - { - "live_qosec_minprobes", - "Minimum probe results required before early outing qos", - generate_hash("live_qosec_minprobes") - }, - { - "liveanticheatunknowndvar", - "Live Anti Cheat Unknown Dvar", - generate_hash("liveanticheatunknowndvar") - }, - { - "livestreaming_active", - "Are we allowed to enable LiveStreaming or not", - generate_hash("livestreaming_active") - }, - { - "loading_sre_fatal", - "Loading errors prevent level from loading.", - generate_hash("loading_sre_fatal") - }, - { - "lobby_animationSpeed", - "How long each frame of the animation should draw, in milliseconds", - generate_hash("lobby_animationSpeed") - }, - { - "lobby_animationTilesHigh", - "How many animation tiles high is the searching_for_player texture", - generate_hash("lobby_animationTilesHigh") - }, - { - "lobby_animationTilesWide", - "How many animation tiles wide is the searching_for_player texture", - generate_hash("lobby_animationTilesWide") - }, - { - "lobby_numAnimationFrames", - "How many animation tiles are in the searching_for_player texture", - generate_hash("lobby_numAnimationFrames") - }, - { - "lobby_searchingPartyColor", - "The color to show that we're searching for that slot when shown in lobbies", - generate_hash("lobby_searchingPartyColor") - }, - { - "loc_language", - "Language", - generate_hash("loc_language") - }, - { - "loc_translate", - "Enable translations", - generate_hash("loc_translate") - }, - { - "log_host_migration_chance", - "The % chance of host migration results telemetry", - generate_hash("log_host_migration_chance") - }, - { - "log_party_state", - "Log party state updates to Black Box system", - generate_hash("log_party_state") - }, - { - "lowAmmoWarningColor1", - "Color 1 of 2 to oscilate between", - generate_hash("lowAmmoWarningColor1") - }, - { - "lowAmmoWarningColor2", - "Color 2 of 2 to oscilate between", - generate_hash("lowAmmoWarningColor2") - }, - { - "lowAmmoWarningNoAmmoColor1", - "Like lowAmmoWarningColor1, but when no ammo.", - generate_hash("lowAmmoWarningNoAmmoColor1") - }, - { - "lowAmmoWarningNoAmmoColor2", - "lowAmmoWarningColor2, but when no ammo.", - generate_hash("lowAmmoWarningNoAmmoColor2") - }, - { - "lowAmmoWarningNoReloadColor1", - "Like lowAmmoWarningColor1, but when no ammo.", - generate_hash("lowAmmoWarningNoReloadColor1") - }, - { - "lowAmmoWarningNoReloadColor2", - "lowAmmoWarningColor2, but when no ammo.", - generate_hash("lowAmmoWarningNoReloadColor2") - }, - { - "lowAmmoWarningPulseFreq", - "Frequency of the pulse (oscilation between the 2 colors)", - generate_hash("lowAmmoWarningPulseFreq") - }, - { - "lowAmmoWarningPulseMax", - "Min of oscilation range: 0 is color1 and 1.0 is color2. Can be < 0, and the wave will clip at 0.", - generate_hash("lowAmmoWarningPulseMax") - }, - { - "lowAmmoWarningPulseMin", - "Max of oscilation range: 0 is color1 and 1.0 is color2. Can be > 1.0, and the wave will clip at 1.0.", - generate_hash("lowAmmoWarningPulseMin") - }, - { - "lsp_enumertion_max_retry_time", - "Max time that the LSP enumeration can retry", - generate_hash("lsp_enumertion_max_retry_time") - }, - { - "lsp_enumertion_retry_step", - "Step in m/s for the LSP enumeration retry", - generate_hash("lsp_enumertion_retry_step") - }, - { - "lui_demoMode", - "Check if the game is in demo mode.", - generate_hash("lui_demoMode") - }, - { - "lui_FFotDSupportEnabled", - "Enables lui to update itself via the ffotd", - generate_hash("lui_FFotDSupportEnabled") - }, - { - "lui_hud_motion_angle_ease_speed", - "Hud motion ease percentage of degrees per second", - generate_hash("lui_hud_motion_angle_ease_speed") - }, - { - "lui_hud_motion_bob_scale", - "Hud motion bob scale", - generate_hash("lui_hud_motion_bob_scale") - }, - { - "lui_hud_motion_enabled", - "Enable hud motion", - generate_hash("lui_hud_motion_enabled") - }, - { - "lui_hud_motion_perspective", - "value for hud motion perspective transform in pixels", - generate_hash("lui_hud_motion_perspective") - }, - { - "lui_hud_motion_rotation_max", - "Hud motion rotation max", - generate_hash("lui_hud_motion_rotation_max") - }, - { - "lui_hud_motion_rotation_scale", - "Hud motion rotation scale", - generate_hash("lui_hud_motion_rotation_scale") - }, - { - "lui_hud_motion_trans_ease_speed", - "Hud motion ease percentage of pixels per second", - generate_hash("lui_hud_motion_trans_ease_speed") - }, - { - "lui_hud_motion_translation_max", - "Hud motion translation max", - generate_hash("lui_hud_motion_translation_max") - }, - { - "lui_hud_motion_translation_scale", - "Hud motion translation scale", - generate_hash("lui_hud_motion_translation_scale") - }, - { - "lui_loot_duplicateredemption", - "Whether a user can redeem duplicate loot items in the Armory", - generate_hash("lui_loot_duplicateredemption") - }, - { - "LUI_MemErrorsFatal", - "Out of memory errors cause drops when true, reinits the UI system if false", - generate_hash("LUI_MemErrorsFatal") - }, - { - "lui_menuFlowEnabled", - "Enables LUI menu flow", - generate_hash("lui_menuFlowEnabled") - }, - { - "lui_mlg_rules_unlocked", - "Whether MLG rules are unlocked", - generate_hash("lui_mlg_rules_unlocked") - }, - { - "lui_priv_lobby_team", - "Team selected in private match lobby", - generate_hash("lui_priv_lobby_team") - }, - { - "lui_splitscreensignin_menu", - "Enables the LUI splitscreensignin menu", - generate_hash("lui_splitscreensignin_menu") - }, - { - "lui_splitscreenupscaling", - "Force splitscreen upscaling off/on (-1 off, 1 on) -- requires map change", - generate_hash("lui_splitscreenupscaling") - }, - { - "lui_systemlink_menu", - "Enables the LUI systemlink menu", - generate_hash("lui_systemlink_menu") - }, - { - "lui_waitingforgavelmessagesconfirmed", - "", - generate_hash("lui_waitingforgavelmessagesconfirmed") - }, - { - "lui_waitingfornetworktype", - "value is LuiWaitingForNetworkType enum", - generate_hash("lui_waitingfornetworktype") - }, - { - "lui_waitingforonlinedatafetch_controller", - "the controller index that is fetching the online stats data", - generate_hash("lui_waitingforonlinedatafetch_controller") - }, - { - "LUI_WorkerCmdGC", - "Dev-only flag to enable/disable LUI workerCmd GC thread", - generate_hash("LUI_WorkerCmdGC") - }, - { - "lui_xboxlive_menu", - "Enables the LUI xboxlive menu", - generate_hash("lui_xboxlive_menu") - }, - { - "m_filter", - "Allow mouse movement smoothing", - generate_hash("m_filter") - }, - { - "m_forward", - "Forward speed in units per second", - generate_hash("m_forward") - }, - { - "m_pitch", - "Default pitch", - generate_hash("m_pitch") - }, - { - "m_side", - "Sideways motion in units per second", - generate_hash("m_side") - }, - { - "m_yaw", - "Default yaw", - generate_hash("m_yaw") - }, - { - "manifestfs", - "Use a manifest file to read segmented fastfiles", - generate_hash("manifestfs") - }, - { - "mapname", - "The current map name", - generate_hash("mapname") - }, - { - "mapPackMPGroupFourFlags", - "Map pack flags that comprise MP ala carte map pack 1", - generate_hash("mapPackMPGroupFourFlags") - }, - { - "mapPackMPGroupFreeFlags", - "Map pack flags that comprise the free MP ala carte map pack", - generate_hash("mapPackMPGroupFreeFlags") - }, - { - "mapPackMPGroupOneFlags", - "Map pack flags that comprise MP ala carte map pack 1", - generate_hash("mapPackMPGroupOneFlags") - }, - { - "mapPackMPGroupThreeFlags", - "Map pack flags that comprise MP ala carte map pack 1", - generate_hash("mapPackMPGroupThreeFlags") - }, - { - "mapPackMPGroupTwoFlags", - "Map pack flags that comprise MP ala carte map pack 1", - generate_hash("mapPackMPGroupTwoFlags") - }, - { - "marketing_active", - "Are we allowed to enable Marketing Comms or not", - generate_hash("marketing_active") - }, - { - "marketing_refresh_time", - "time in seconds to wait before refreshing marketing messages from demonware", - generate_hash("marketing_refresh_time") - }, - { - "matchdata_active", - "Are match data uploads enabled", - generate_hash("matchdata_active") - }, - { - "matchdata_maxcompressionbuffer", - "Max SP match data compression buffer to use (in bytes)", - generate_hash("matchdata_maxcompressionbuffer") - }, - { - "matchmaking_debug", - "Enable matchmaking debugging information", - generate_hash("matchmaking_debug") - }, - { - "max_ping_threshold_good", - "max ping value to be considered as good", - generate_hash("max_ping_threshold_good") - }, - { - "max_ping_threshold_medium", - "max ping value to be considered as medium", - generate_hash("max_ping_threshold_medium") - }, - { - "max_xp_per_match", - "", - generate_hash("max_xp_per_match") - }, - { - "maxPrestigeOverride", - "Overrides the maximum prestige level, disabled if 0.", - generate_hash("maxPrestigeOverride") - }, - { - "maxVoicePacketsPerSec", - "", - generate_hash("maxVoicePacketsPerSec") - }, - { - "maxVoicePacketsPerSecForServer", - "", - generate_hash("maxVoicePacketsPerSecForServer") - }, - { - "mdsd", - "enable match data stat delta logging?", - generate_hash("mdsd") - }, - { - "melee_debug", - "Turn on debug lines for melee traces", - generate_hash("melee_debug") - }, - { - "mis_cheat", - "Set when level unlock cheat is performed", - generate_hash("mis_cheat") - }, - { - "migration_dvarErrors", - "Whether to check for illegal script dvar changes.", - generate_hash("migration_dvarErrors") - }, - { - "min_wait_for_players", - "", - generate_hash("min_wait_for_players") - }, - { - "missileRemoteFOV", - "Remote missile-cam, FOV to use.", - generate_hash("missileRemoteFOV") - }, - { - "missileRemoteSteerPitchRange", - "Remote-controlled missile allowed up/down range. To keep players from steering missiles above the horizon.", - generate_hash("missileRemoteSteerPitchRange") - }, - { - "missileRemoteSteerPitchRate", - "Remote-controlled missile up/down steering speed.", - generate_hash("missileRemoteSteerPitchRate") - }, - { - "missileRemoteSteerYawRate", - "Remote-controlled missile left/right steering speed.", - generate_hash("missileRemoteSteerYawRate") - }, - { - "mm_aw_onboarding_rank", - "If a player is at or above this rank in AW, she is not considered onboarding", - generate_hash("mm_aw_onboarding_rank") - }, - { - "mm_blops2_onboarding_skill", - "Used to determine onboarding status for Ghosts", - generate_hash("mm_blops2_onboarding_skill") - }, - { - "mm_bucket_option", - "if using bucketing, describes what pools can join with each other", - generate_hash("mm_bucket_option") - }, - { - "mm_country_code", - "country code", - generate_hash("mm_country_code") - }, - { - "mm_ghosts_onboarding_skill", - "Used to determine onboarding status for Ghosts", - generate_hash("mm_ghosts_onboarding_skill") - }, - { - "mm_past_title_stats_source", - "what type of information do we use from the past titles (rank vs kdr, etc)", - generate_hash("mm_past_title_stats_source") - }, - { - "mm_skill_calculation_type", - "", - generate_hash("mm_skill_calculation_type") - }, - { - "mm_skill_enforcement", - "", - generate_hash("mm_skill_enforcement") - }, - { - "mm_skill_lower_bucket", - "lower mm skill bucket", - generate_hash("mm_skill_lower_bucket") - }, - { - "mm_skill_param_delta", - "Delta parameter for Johnson SU distribution curve", - generate_hash("mm_skill_param_delta") - }, - { - "mm_skill_param_gamma", - "Gamma parameter for Johnson SU distribution curve", - generate_hash("mm_skill_param_gamma") - }, - { - "mm_skill_param_lambda", - "Lambda parameter for Johnson SU distribution curve", - generate_hash("mm_skill_param_lambda") - }, - { - "mm_skill_param_xi", - "Xi parameter for Johnson SU distribution curve", - generate_hash("mm_skill_param_xi") - }, - { - "mm_skill_strict_enforcement", - "", - generate_hash("mm_skill_strict_enforcement") - }, - { - "mm_skill_type", - "mm skill type", - generate_hash("mm_skill_type") - }, - { - "mm_skill_upper_bucket", - "upper mm skill bucket", - generate_hash("mm_skill_upper_bucket") - }, - { - "mm_sph_1", - "", - generate_hash("mm_sph_1") - }, - { - "mm_sph_10", - "", - generate_hash("mm_sph_10") - }, - { - "mm_sph_11", - "", - generate_hash("mm_sph_11") - }, - { - "mm_sph_12", - "", - generate_hash("mm_sph_12") - }, - { - "mm_sph_13", - "", - generate_hash("mm_sph_13") - }, - { - "mm_sph_14", - "", - generate_hash("mm_sph_14") - }, - { - "mm_sph_15", - "", - generate_hash("mm_sph_15") - }, - { - "mm_sph_16", - "", - generate_hash("mm_sph_16") - }, - { - "mm_sph_17", - "", - generate_hash("mm_sph_17") - }, - { - "mm_sph_18", - "", - generate_hash("mm_sph_18") - }, - { - "mm_sph_2", - "", - generate_hash("mm_sph_2") - }, - { - "mm_sph_3", - "", - generate_hash("mm_sph_3") - }, - { - "mm_sph_4", - "", - generate_hash("mm_sph_4") - }, - { - "mm_sph_5", - "", - generate_hash("mm_sph_5") - }, - { - "mm_sph_6", - "", - generate_hash("mm_sph_6") - }, - { - "mm_sph_7", - "", - generate_hash("mm_sph_7") - }, - { - "mm_sph_8", - "", - generate_hash("mm_sph_8") - }, - { - "mm_sph_9", - "", - generate_hash("mm_sph_9") - }, - { - "mm_split_population", - "", - generate_hash("mm_split_population") - }, - { - "mm_test_type", - "mm test type", - generate_hash("mm_test_type") - }, - { - "mm_use_onboarding_skill", - "If set, we will for the player's skill to be the lowest available", - generate_hash("mm_use_onboarding_skill") - }, - { - "monkeytoy", - "Restrict console access", - generate_hash("monkeytoy") - }, - { - "motd", - "", - generate_hash("motd") - }, - { - "motd_store_link", - "Add a link to the in-game store in the MOTD popup", - generate_hash("motd_store_link") - }, - { - "motionTrackerBlurDuration", - "The motion blur duration for motion tracker dots", - generate_hash("motionTrackerBlurDuration") - }, - { - "motionTrackerCenterX", - "", - generate_hash("motionTrackerCenterX") - }, - { - "motionTrackerCenterY", - "", - generate_hash("motionTrackerCenterY") - }, - { - "motionTrackerPingFadeTime", - "How long an enemy is visible on the motion tracker after being detected", - generate_hash("motionTrackerPingFadeTime") - }, - { - "motionTrackerPingPitchAddPerEnemy", - "The added percentage of pitch for each additional enemy that is detected (final pitch = base pitch * (1 + enemy count * this))", - generate_hash("motionTrackerPingPitchAddPerEnemy") - }, - { - "motionTrackerPingPitchBase", - "The pitch of the motion tracker sound for a nearby enemy", - generate_hash("motionTrackerPingPitchBase") - }, - { - "motionTrackerPingPitchNearby", - "The pitch of the motion tracker sound for a nearby enemy", - generate_hash("motionTrackerPingPitchNearby") - }, - { - "motionTrackerPingSize", - "The width and height of the motion tracker's enemy indicators as a percentage of motion tracker scale", - generate_hash("motionTrackerPingSize") - }, - { - "msg_field_delta2", - "enable the delta2 serialization.", - generate_hash("msg_field_delta2") - }, - { - "name", - "Player name", - generate_hash("name") - }, - { - "net_authPort", - "UDP port for Steam authentication", - generate_hash("net_authPort") - }, - { - "net_ip", - "Network IP Address", - generate_hash("net_ip") - }, - { - "net_masterServerPort", - "UDP port for Steam server browser", - generate_hash("net_masterServerPort") - }, - { - "net_noudp", - "Disable UDP", - generate_hash("net_noudp") - }, - { - "net_port", - "Network port", - generate_hash("net_port") - }, - { - "net_socksEnabled", - "Enable network sockets", - generate_hash("net_socksEnabled") - }, - { - "net_socksPassword", - "Network socket password", - generate_hash("net_socksPassword") - }, - { - "net_socksPort", - "Network socket port", - generate_hash("net_socksPort") - }, - { - "net_socksServer", - "Network socket server", - generate_hash("net_socksServer") - }, - { - "net_socksUsername", - "Network socket username", - generate_hash("net_socksUsername") - }, - { - "nextmap", - "Next map to play", - generate_hash("nextmap") - }, - { - "nightVisionDisableEffects", - "", - generate_hash("nightVisionDisableEffects") - }, - { - "nightVisionFadeInOutTime", - "How long the fade to/from black lasts when putting on or removing night vision goggles.", - generate_hash("nightVisionFadeInOutTime") - }, - { - "nightVisionPowerOnTime", - "How long the black-to-nightvision fade lasts when turning on the goggles.", - generate_hash("nightVisionPowerOnTime") - }, - { - "num_available_map_packs", - "Number of map packs available for this platform", - generate_hash("num_available_map_packs") - }, - { - "objectiveFontSize", - "Onscreen Objective Pointer - Fontsize of the icon's text.", - generate_hash("objectiveFontSize") - }, - { - "objectiveTextOffsetY", - "Onscreen Objective Pointer - Offset of the icon's text.", - generate_hash("objectiveTextOffsetY") - }, - { - "onlinegame", - "Current game is an online game with stats, custom classes, unlocks", - generate_hash("onlinegame") - }, - { - "overrideNVGModelWithKnife", - "When true, nightvision animations will attach the weapDef's knife model instead of the night vision goggles.", - generate_hash("overrideNVGModelWithKnife") - }, - { - "overtimeTimeLimit", - "", - generate_hash("overtimeTimeLimit") - }, - { - "p2pAuth_allow_steam_p2p", - "Determines if Steam based P2P is allowed if direct connectivity is not possible.", - generate_hash("p2pAuth_allow_steam_p2p") - }, - { - "p2pAuth_disable", - "", - generate_hash("p2pAuth_disable") - }, - { - "paintExplosionRadius", - "The radius of the paint grenade explosion", - generate_hash("paintExplosionRadius") - }, - { - "painVisionLerpOutRate", - "Rate at which pain vision effect lerps out", - generate_hash("painVisionLerpOutRate") - }, - { - "painVisionTriggerHealth", - "Health (0 to 1) that will trigger the pain vision effect", - generate_hash("painVisionTriggerHealth") - }, - { - "party_alternateMapVoteStatus", - "Alternate map vote progress", - generate_hash("party_alternateMapVoteStatus") - }, - { - "party_dlc_only_intended_mappacks", - "When selecting next map for rotation, should any maps not in the intended search be excluded, even if available?", - generate_hash("party_dlc_only_intended_mappacks") - }, - { - "party_firstSubpartyIndex", - "Determines sort order and coloring of parties in lobbies. Randomly set by code. Dvar provided for debugging.", - generate_hash("party_firstSubpartyIndex") - }, - { - "party_followPartyHostOutOfGames", - "Whether we should follow our party host out of a game in progress.", - generate_hash("party_followPartyHostOutOfGames") - }, - { - "party_gamesize", - "Current maximum game size", - generate_hash("party_gamesize") - }, - { - "party_gametype", - "Current gametype", - generate_hash("party_gametype") - }, - { - "party_inactiveHeartbeatPeriod", - "How often to send inactive party keep alive packets in milliseconds.", - generate_hash("party_inactiveHeartbeatPeriod") - }, - { - "party_initial_dlc_search_timer", - "Time until DLC enabled search should show an error dialog suggesting the user consider going to non dlc search", - generate_hash("party_initial_dlc_search_timer") - }, - { - "party_IsLocalClientSelected", - "True if selected player is a local client. Only valid when used with party feeders.", - generate_hash("party_IsLocalClientSelected") - }, - { - "party_kickplayerquestion", - "String to store the question about kicking the selected player", - generate_hash("party_kickplayerquestion") - }, - { - "party_listFocus", - "True when an item in the party list has focus.", - generate_hash("party_listFocus") - }, - { - "party_lobbyPlayerCount", - "Number of players currently in the party/lobby", - generate_hash("party_lobbyPlayerCount") - }, - { - "party_mapname", - "Current map name", - generate_hash("party_mapname") - }, - { - "party_mapvote_entrya_mapname", - "Primary map vote entry name", - generate_hash("party_mapvote_entrya_mapname") - }, - { - "party_mapvote_entryb_mapname", - "Alternate map vote entry name", - generate_hash("party_mapvote_entryb_mapname") - }, - { - "party_matchedPlayerCount", - "Number of matched players before revealing their true names", - generate_hash("party_matchedPlayerCount") - }, - { - "party_maxplayers", - "Maximum number of players in a party", - generate_hash("party_maxplayers") - }, - { - "party_maxPrivatePartyPlayers", - "Max number of players allowed in a private party.", - generate_hash("party_maxPrivatePartyPlayers") - }, - { - "party_maxTeamDiff", - "Maximum difference allowed between teams before starting a match", - generate_hash("party_maxTeamDiff") - }, - { - "party_membersMissingMapPack", - "Whether any party member is missing one of the enabled map packs. Only valid after running partyUpdateMissingMapPackDvar", - generate_hash("party_membersMissingMapPack") - }, - { - "party_minLobbyTime", - "Minimum time (in seconds) for a lobby to be open before auto starting a match", - generate_hash("party_minLobbyTime") - }, - { - "party_minplayers", - "Minimum number of players in a party", - generate_hash("party_minplayers") - }, - { - "party_nextMapVoteStatus", - "Next map vote progress", - generate_hash("party_nextMapVoteStatus") - }, - { - "party_partyPlayerCount", - "Number of players currently in the party/lobby", - generate_hash("party_partyPlayerCount") - }, - { - "party_partyPlayerCountNum", - "Number of players currently in the party/lobby", - generate_hash("party_partyPlayerCountNum") - }, - { - "party_playersCoop", - "True if the current playlist places all players on the allies team", - generate_hash("party_playersCoop") - }, - { - "party_playervisible", - "Whether selected player in party is showing true info or not. Only valid when used with party feeders.", - generate_hash("party_playervisible") - }, - { - "party_randomMapVoteStatus", - "Random map vote progress", - generate_hash("party_randomMapVoteStatus") - }, - { - "party_resume_dlc_search_timer", - "Time until DLC enabled search should show an error dialog suggesting the user consider going to non dlc search", - generate_hash("party_resume_dlc_search_timer") - }, - { - "party_search_for_dlc_content", - "search for DLC enabled games else standard maps only will be used", - generate_hash("party_search_for_dlc_content") - }, - { - "party_selectedIndex", - "Current selected player index in the feeder.", - generate_hash("party_selectedIndex") - }, - { - "party_selectedIndexChangedTime", - "Time stamp in milliseconds when the selected index last changed.", - generate_hash("party_selectedIndexChangedTime") - }, - { - "party_statusString", - "Party Status (localized )", - generate_hash("party_statusString") - }, - { - "party_teambased", - "True if the current playlist is team based", - generate_hash("party_teambased") - }, - { - "party_teamsVisible", - "teams are visible in UI", - generate_hash("party_teamsVisible") - }, - { - "party_timer", - "Time until game begins in seconds, for UI display", - generate_hash("party_timer") - }, - { - "partyChatDisallowed", - "Whether to disallow ps4 Live Party Chat", - generate_hash("partyChatDisallowed") - }, - { - "partymigrate_broadcast_interval", - "Time between telling people who the new host is when migrating lobby", - generate_hash("partymigrate_broadcast_interval") - }, - { - "partymigrate_cpuBonusPing", - "The ping rewarded to a CPU meeting the bonus threshold when scoring hosts.", - generate_hash("partymigrate_cpuBonusPing") - }, - { - "partymigrate_cpuBonusThreshold", - "The required excess %CPU speed to get a bonus when scoring hosts.", - generate_hash("partymigrate_cpuBonusThreshold") - }, - { - "partymigrate_logResults", - "Instrumentation - Whether to log the best host calculation results. 0 is disabled, 1 for games, 2 for parties, 3 for both.", - generate_hash("partymigrate_logResults") - }, - { - "partymigrate_makeHostTimeout", - "Time before giving up on makeHost requests", - generate_hash("partymigrate_makeHostTimeout") - }, - { - "partymigrate_pingtest_active", - "Whether to do a ping test when lobby migrating", - generate_hash("partymigrate_pingtest_active") - }, - { - "partymigrate_pingtest_filterThreshold", - "Acceptable ping difference from best ping host for host selection (ms)", - generate_hash("partymigrate_pingtest_filterThreshold") - }, - { - "partymigrate_pingtest_minThreshold", - "Minimum meaningful ping delta for host selection (ms)", - generate_hash("partymigrate_pingtest_minThreshold") - }, - { - "partymigrate_pingtest_retry", - "Time between ping tests when migrating lobby", - generate_hash("partymigrate_pingtest_retry") - }, - { - "partymigrate_pingtest_timeout", - "Time to give up on ping tests when migrating lobby", - generate_hash("partymigrate_pingtest_timeout") - }, - { - "partymigrate_preferSameHost", - "When possible, prefer keeping the same host on migrations", - generate_hash("partymigrate_preferSameHost") - }, - { - "partymigrate_selectiontime", - "Time before requiring a host selection when migrating lobby", - generate_hash("partymigrate_selectiontime") - }, - { - "partymigrate_timeout", - "Time before giving up on lobby migration if we hear nothing", - generate_hash("partymigrate_timeout") - }, - { - "partymigrate_timeoutmax", - "Time before giving up on lobby migration if we hear nothing", - generate_hash("partymigrate_timeoutmax") - }, - { - "partymigrate_uploadtest_minThreshold", - "Minimum meaningful upload bandwidth delta for host selection (bps)", - generate_hash("partymigrate_uploadtest_minThreshold") - }, - { - "password", - "", - generate_hash("password") - }, - { - "perk_armorPiercingDamage", - "", - generate_hash("perk_armorPiercingDamage") - }, - { - "perk_blastShieldScale", - "", - generate_hash("perk_blastShieldScale") - }, - { - "perk_blastShieldScale_HC", - "", - generate_hash("perk_blastShieldScale_HC") - }, - { - "perk_bulletPenetrationMultiplier", - "Multiplier for extra bullet penetration", - generate_hash("perk_bulletPenetrationMultiplier") - }, - { - "perk_extendedMagsMGAmmo", - "Number of extra bullets per clip for machine gun weapons with the extended mags perk.", - generate_hash("perk_extendedMagsMGAmmo") - }, - { - "perk_extendedMagsPistolAmmo", - "Number of extra bullets per clip for pistol weapons with the extended mags perk.", - generate_hash("perk_extendedMagsPistolAmmo") - }, - { - "perk_extendedMagsRifleAmmo", - "Number of extra bullets per clip for rifle weapons with the extended mags perk.", - generate_hash("perk_extendedMagsRifleAmmo") - }, - { - "perk_extendedMagsSMGAmmo", - "Number of extra bullets per clip for sub machine gun weapons with the extended mags perk.", - generate_hash("perk_extendedMagsSMGAmmo") - }, - { - "perk_extendedMagsSpreadAmmo", - "Number of extra bullets per clip for spread weapons with the extended mags perk.", - generate_hash("perk_extendedMagsSpreadAmmo") - }, - { - "perk_extraBreath", - "Number of extra seconds a player can hold his breath", - generate_hash("perk_extraBreath") - }, - { - "perk_fastClimb", - "Scales the ladder climb time", - generate_hash("perk_fastClimb") - }, - { - "perk_fastRegenRate", - "", - generate_hash("perk_fastRegenRate") - }, - { - "perk_fastRegenWaitMS", - "", - generate_hash("perk_fastRegenWaitMS") - }, - { - "perk_fastSnipeScale", - "Scales the recovery speed of the view kick when using a sniper.", - generate_hash("perk_fastSnipeScale") - }, - { - "perk_footstepVolumeAlly", - "", - generate_hash("perk_footstepVolumeAlly") - }, - { - "perk_footstepVolumeEnemy", - "", - generate_hash("perk_footstepVolumeEnemy") - }, - { - "perk_footstepVolumePlayer", - "", - generate_hash("perk_footstepVolumePlayer") - }, - { - "perk_footstepVolumeSelectiveHearingMin", - "", - generate_hash("perk_footstepVolumeSelectiveHearingMin") - }, - { - "perk_improvedExtraBreath", - "Number of extra seconds a player can hold his breath", - generate_hash("perk_improvedExtraBreath") - }, - { - "perk_lightWeightViewBobScale", - "Scale for first person view movement while lightweight.", - generate_hash("perk_lightWeightViewBobScale") - }, - { - "perk_numExtraLethal", - "Number of extra lethal grenades", - generate_hash("perk_numExtraLethal") - }, - { - "perk_numExtraTactical", - "Number of extra tactical grenades", - generate_hash("perk_numExtraTactical") - }, - { - "perk_parabolicAngle", - "Eavesdrop perk's effective FOV angle", - generate_hash("perk_parabolicAngle") - }, - { - "perk_parabolicIcon", - "Eavesdrop icon to use when displaying eavesdropped voice chats", - generate_hash("perk_parabolicIcon") - }, - { - "perk_parabolicRadius", - "Eavesdrop perk's effective radius", - generate_hash("perk_parabolicRadius") - }, - { - "perk_quickDrawSpeedScale", - "Scales the 'Hip to ADS' transition speed.", - generate_hash("perk_quickDrawSpeedScale") - }, - { - "perk_quickDrawSpeedScaleSniper", - "Scales the 'Hip to ADS' transition speed.", - generate_hash("perk_quickDrawSpeedScaleSniper") - }, - { - "perk_scavengerMode", - "", - generate_hash("perk_scavengerMode") - }, - { - "perk_sprintMultiplier", - "Multiplier for player_sprinttime", - generate_hash("perk_sprintMultiplier") - }, - { - "perk_sprintRecoveryMultiplierActual", - "", - generate_hash("perk_sprintRecoveryMultiplierActual") - }, - { - "perk_sprintRecoveryMultiplierVisual", - "", - generate_hash("perk_sprintRecoveryMultiplierVisual") - }, - { - "perk_weapRateMultiplier", - "Percentage of weapon firing rate to use", - generate_hash("perk_weapRateMultiplier") - }, - { - "perk_weapReloadMultiplier", - "Percentage of weapon reload time to use", - generate_hash("perk_weapReloadMultiplier") - }, - { - "perk_weapSpreadMultiplier", - "Percentage of weapon spread to use", - generate_hash("perk_weapSpreadMultiplier") - }, - { - "phys_autoDisableLinear", - "A body must have linear velocity less than this to be considered idle.", - generate_hash("phys_autoDisableLinear") - }, - { - "phys_autoDisableTime", - "The amount of time a body must be idle for it to go to sleep.", - generate_hash("phys_autoDisableTime") - }, - { - "phys_bulletSpinScale", - "Scale of the effective offset from the center of mass for the bullet impacts.", - generate_hash("phys_bulletSpinScale") - }, - { - "phys_bulletUpBias", - "Up Bias for the direction of the bullet impact.", - generate_hash("phys_bulletUpBias") - }, - { - "phys_dragAngular", - "The amount of angular drag, applied globally", - generate_hash("phys_dragAngular") - }, - { - "phys_dragLinear", - "The amount of linear drag, applied globally", - generate_hash("phys_dragLinear") - }, - { - "phys_gravity", - "Physics gravity in units/sec^2.", - generate_hash("phys_gravity") - }, - { - "phys_gravity_ragdoll", - "Physics gravity used by ragdolls in units/sec^2.", - generate_hash("phys_gravity_ragdoll") - }, - { - "phys_gravityChangeWakeupRadius", - "The radius around the player within which objects get awakened when gravity changes", - generate_hash("phys_gravityChangeWakeupRadius") - }, - { - "phys_jitterMaxMass", - "Maximum mass to jitter - jitter will fall off up to this mass", - generate_hash("phys_jitterMaxMass") - }, - { - "physVeh_explodeForce", - "The force applied to physics vehicles due to explosions", - generate_hash("physVeh_explodeForce") - }, - { - "physVeh_explodeSpinScale", - "The max (random) offset from the center of mass at which splash damage applies its force", - generate_hash("physVeh_explodeSpinScale") - }, - { - "physVeh_jump", - "Set to 1 to make a vehicle jump.", - generate_hash("physVeh_jump") - }, - { - "physVeh_minContactImpulse", - "The minimum impulse needed to register a contact notification", - generate_hash("physVeh_minContactImpulse") - }, - { - "physVeh_minImpactMomentum", - "The minimum collision momentum needed to register an impact", - generate_hash("physVeh_minImpactMomentum") - }, - { - "physVeh_StepsPerFrame", - "The number of physics timesteps that the server frame will be divided into.", - generate_hash("physVeh_StepsPerFrame") - }, - { - "pickupPrints", - "Print a message to the game window when picking up ammo, etc.", - generate_hash("pickupPrints") - }, - { - "player_breath_snd_delay", - "The delay before playing the breathe in sound", - generate_hash("player_breath_snd_delay") - }, - { - "player_breath_snd_lerp", - "The interpolation rate for the player hold breath sound", - generate_hash("player_breath_snd_lerp") - }, - { - "player_current_floor", - "", - generate_hash("player_current_floor") - }, - { - "player_MGUseRadius", - "The radius within which a player can mount a machine gun", - generate_hash("player_MGUseRadius") - }, - { - "player_stunWhiteFlash", - "If enabled, player's screens will flash white when they are stunned.", - generate_hash("player_stunWhiteFlash") - }, - { - "player_throwbackInnerRadius", - "The radius to a live grenade player must be within initially to do a throwback", - generate_hash("player_throwbackInnerRadius") - }, - { - "player_throwbackOuterRadius", - "The radius player is allow to throwback a grenade once the player has been in the inner radius", - generate_hash("player_throwbackOuterRadius") - }, - { - "player_useRadius", - "The radius within which a player can use things", - generate_hash("player_useRadius") - }, - { - "playercard_cache_download_max_retry_time", - "Max time that the player cache download can retry", - generate_hash("playercard_cache_download_max_retry_time") - }, - { - "playercard_cache_download_retry_step", - "Step in m/s for the player cache download retry", - generate_hash("playercard_cache_download_retry_step") - }, - { - "playercard_cache_upload_max_retry_time", - "Max time that the player cache upload can retry", - generate_hash("playercard_cache_upload_max_retry_time") - }, - { - "playercard_cache_upload_retry_step", - "Step in m/s for the player cache upload retry", - generate_hash("playercard_cache_upload_retry_step") - }, - { - "playercard_cache_validity_life", - "The life of a cached gamercard (it can be re-downloaded after this)", - generate_hash("playercard_cache_validity_life") - }, - { - "playerPositionRecordSampleTime", - "How often to sample player positions and save them into match data.", - generate_hash("playerPositionRecordSampleTime") - }, - { - "playlist", - "The playlist number", - generate_hash("playlist") - }, - { - "playlistAggrFilename", - "Aggregated playlist filename", - generate_hash("playlistAggrFilename") - }, - { - "playlistFilename", - "Playlist filename", - generate_hash("playlistFilename") - }, - { - "playListUpdateCheckMinutes", - "Minutes to wait between checking for updated playlist.", - generate_hash("playListUpdateCheckMinutes") - }, - { - "prestige_shop_active", - "Are we allowed to show the Prestige Shop or not", - generate_hash("prestige_shop_active") - }, - { - "prestige30EasterEggEnabled", - "Enables the easter egg for prestige 30 if 1, disabled if 0.", - generate_hash("prestige30EasterEggEnabled") - }, - { - "privateMatch_joinPassword", - "", - generate_hash("privateMatch_joinPassword") - }, - { - "privateMatch_serverPassword", - "", - generate_hash("privateMatch_serverPassword") - }, - { - "profileMenuOption_blacklevel", - "", - generate_hash("profileMenuOption_blacklevel") - }, - { - "profileMenuOption_offensiveContentMode", - "Mode of the offensive content warning at startup - 0, skip and turn on; 1, skip and turn off; 2, ask user", - generate_hash("profileMenuOption_offensiveContentMode") - }, - { - "profileMenuOption_safeAreaHorz", - "", - generate_hash("profileMenuOption_safeAreaHorz") - }, - { - "profileMenuOption_safeAreaVert", - "", - generate_hash("profileMenuOption_safeAreaVert") - }, - { - "profileMenuOption_volume", - "", - generate_hash("profileMenuOption_volume") - }, - { - "protocol", - "Protocol version", - generate_hash("protocol") - }, - { - "pt_AliensReadyUpPrivateInUse", - "Do we use the co-op Ready Up feature in public lobbies?", - generate_hash("pt_AliensReadyUpPrivateInUse") - }, - { - "pt_AliensReadyUpPublicInUse", - "Do we use the co-op Ready Up feature in public lobbies?", - generate_hash("pt_AliensReadyUpPublicInUse") - }, - { - "pt_AliensReadyUpPublicStartTimerLength", - "co-op Ready Up start timer length in seconds", - generate_hash("pt_AliensReadyUpPublicStartTimerLength") - }, - { - "pt_allMembersDoQoS", - "Whether to send search results to all party/lobby members to get QoS data", - generate_hash("pt_allMembersDoQoS") - }, - { - "pt_backoutOnClientPresence", - "Whether the host should backout the party on client presence. 0=fully disabled, 1=out of game only, 2=in-game also", - generate_hash("pt_backoutOnClientPresence") - }, - { - "pt_connectAttempts", - "Connect timeout when joining another game/party, per attempt", - generate_hash("pt_connectAttempts") - }, - { - "pt_connectTimeout", - "Connect timeout when joining another game/party, per attempt", - generate_hash("pt_connectTimeout") - }, - { - "pt_gameStartTimerLength", - "Time in seconds before a game start once enough party members are ready", - generate_hash("pt_gameStartTimerLength") - }, - { - "pt_logHostSelectionChance", - "Sets the probability that we log our host selection results", - generate_hash("pt_logHostSelectionChance") - }, - { - "pt_memberTimeout", - "Client timeout time in the general case", - generate_hash("pt_memberTimeout") - }, - { - "pt_migrateBeforeAdvertise", - "Whether lobbies made by private parties should migrate host before publishing", - generate_hash("pt_migrateBeforeAdvertise") - }, - { - "pt_migrationBandwidthBonusPing", - "The ping rewarded to the bonus bandwidth threshold when scoring hosts.", - generate_hash("pt_migrationBandwidthBonusPing") - }, - { - "pt_migrationBandwidthBonusThreshold", - "The required excess % upload bandwidth to get a bonus when scoring hosts.", - generate_hash("pt_migrationBandwidthBonusThreshold") - }, - { - "pt_migrationCPUWeight", - "How important CPU speed is when selecting a new host", - generate_hash("pt_migrationCPUWeight") - }, - { - "pt_migrationNotInstalledWeight", - "How important not being done installing is when selecting a new host", - generate_hash("pt_migrationNotInstalledWeight") - }, - { - "pt_migrationPingBad", - "", - generate_hash("pt_migrationPingBad") - }, - { - "pt_migrationPingWeight", - "", - generate_hash("pt_migrationPingWeight") - }, - { - "pt_migrationQuitsBad", - "", - generate_hash("pt_migrationQuitsBad") - }, - { - "pt_migrationQuitsWeight", - "", - generate_hash("pt_migrationQuitsWeight") - }, - { - "pt_migrationRAMWeight", - "How important it is to have the minimum amount of RAM when selecting a new host", - generate_hash("pt_migrationRAMWeight") - }, - { - "pt_migrationThreshold", - "Minimum amount which another client must be better than the current host to trigger a migration", - generate_hash("pt_migrationThreshold") - }, - { - "pt_migrationUploadBad", - "", - generate_hash("pt_migrationUploadBad") - }, - { - "pt_migrationUploadWeight", - "", - generate_hash("pt_migrationUploadWeight") - }, - { - "pt_migrationWifiPenalty", - "How important Wifi is when selecting a new host", - generate_hash("pt_migrationWifiPenalty") - }, - { - "pt_pregameStartTimerLength", - "Time in seconds before showing and starting the game start timer", - generate_hash("pt_pregameStartTimerLength") - }, - { - "pt_rejoin", - "Enable defensive rejoin command", - generate_hash("pt_rejoin") - }, - { - "pt_reservedAnonymousSlotTime", - "Time in milliseconds that ANONYMOUS slots will be reserved.", - generate_hash("pt_reservedAnonymousSlotTime") - }, - { - "pt_reservedCommittedSlotTime", - "Time in milliseconds that COMMITTED slots will be reserved", - generate_hash("pt_reservedCommittedSlotTime") - }, - { - "pt_reservedJoiningSlotTime", - "Time in milliseconds that JOINING slots will be reserved", - generate_hash("pt_reservedJoiningSlotTime") - }, - { - "pt_searchConnectAttempts", - "Connect timeout when joining another game/party, per attempt", - generate_hash("pt_searchConnectAttempts") - }, - { - "pt_searchPauseTime", - "Minimum amount of time to pause between searches", - generate_hash("pt_searchPauseTime") - }, - { - "pt_searchRandomDelay", - "Time period over which the search timers will get randomly delayed.", - generate_hash("pt_searchRandomDelay") - }, - { - "pt_searchResultsLifetime", - "Time at which we consider the search results stale", - generate_hash("pt_searchResultsLifetime") - }, - { - "pt_searchResultsMin", - "Minimum amount of time that has to pass before we'll search again for matches", - generate_hash("pt_searchResultsMin") - }, - { - "pt_stillConnectingWaitTime", - "Amount of time to wait for someone to finish connecting before searching for lobbies to merge with", - generate_hash("pt_stillConnectingWaitTime") - }, - { - "pt_useMigrationWeights", - "Killswitch to turn on or off the host selection by weights", - generate_hash("pt_useMigrationWeights") - }, - { - "publisherFileFetchTimeout", - "default timeout for publisher files FETCH tasks (in seconds)", - generate_hash("publisherFileFetchTimeout") - }, - { - "r_adaptiveSubdiv", - "Enables screen space Catmull Clark adaptive tessellation. If disabled, models tessellate to their designed subdivision level.", - generate_hash("r_adaptiveSubdiv") - }, - { - "r_adaptiveSubdivBaseFactor", - "Screen space Catmull Clark adaptive tessellation factor for the base model. Smaller values mean more tessellation.", - generate_hash("r_adaptiveSubdivBaseFactor") - }, - { - "r_adaptiveSubdivPatchFactor", - "Screen space Catmull Clark adaptive tessellation factor for the base model. Smaller values mean more tessellation.", - generate_hash("r_adaptiveSubdivPatchFactor") - }, - { - "r_allCells", - "Draw all cells. Most useful for seeing if portals or cells are hiding things they should not..", - generate_hash("r_allCells") - }, - { - "r_amdGPU", - "At least on AMD GPU used for rendering.", - generate_hash("r_amdGPU") - }, - { - "r_aoBlurSharpness", - "Controls the tolerance for depth discontinuities during the bilateral blur step. Larger values reduce the depth tolerance and effectively sharpen more edges.", - generate_hash("r_aoBlurSharpness") - }, - { - "r_aoBlurStep", - "Step scale applied to sample offsets during the bilateral blur. A value of 1 results in a normal gaussian blur. Increasing it to 2 or 3 makes the filter larger but causes fine dithering patterns.", - generate_hash("r_aoBlurStep") - }, - { - "r_aoDiminish", - "Decrease the effect of occlusion on brighter colors", - generate_hash("r_aoDiminish") - }, - { - "r_aoPower", - "Power curve applied to AO factor", - generate_hash("r_aoPower") - }, - { - "r_aoStrength", - "Strength of Ambient Occlusion effect", - generate_hash("r_aoStrength") - }, - { - "r_aoUseTweaks", - "Use r_ao* dvars instead of the current light set values for AO common params", - generate_hash("r_aoUseTweaks") - }, - { - "r_artUseTweaks", - "Tells the game that art tweaks is enabled and script is in control (as opposed to ColorEd).", - generate_hash("r_artUseTweaks") - }, - { - "r_aspectRatio", - "Screen aspect ratio. Most widescreen monitors are 16:10 instead of 16:9.", - generate_hash("r_aspectRatio") - }, - { - "r_asyncCompute", - "Enables scheduling GPU compute shader work prior to the graphics frame, improving overlap.", - generate_hash("r_asyncCompute") - }, - { - "r_atlasAnimFPS", - "Speed to animate atlased 2d materials", - generate_hash("r_atlasAnimFPS") - }, - { - "r_autopriority", - "Automatically set the priority of the windows process when the game is minimized", - generate_hash("r_autopriority") - }, - { - "r_balanceLightmapOpaqueLists", - "Split lightmap opaque into multiple draw lists.", - generate_hash("r_balanceLightmapOpaqueLists") - }, - { - "r_blacklevel", - "Black level (negative brightens output)", - generate_hash("r_blacklevel") - }, - { - "r_blur", - "Dev tweak to blur the screen", - generate_hash("r_blur") - }, - { - "r_blurdstGaussianBlurLevel", - "MIP level to start gaussian blur at", - generate_hash("r_blurdstGaussianBlurLevel") - }, - { - "r_blurdstGaussianBlurRadius", - "Amount to gaussian blur blur distortion render target", - generate_hash("r_blurdstGaussianBlurRadius") - }, - { - "r_brightness", - "Brightness adjustment", - generate_hash("r_brightness") - }, - { - "r_cacheModelLighting", - "Speed up model lighting by caching previous results", - generate_hash("r_cacheModelLighting") - }, - { - "r_cacheSModelLighting", - "Speed up static model lighting by caching previous results", - generate_hash("r_cacheSModelLighting") - }, - { - "r_charLightAmbient", - "", - generate_hash("r_charLightAmbient") - }, - { - "r_clampLodScale", - "Clamps the amount that the engine can adjust the LOD distance. 0 the engine can fully adjust. 1 the engine cannot adjust it at all. 0.5 the maximum the engine can adjust the LOD distance is 50% or the default.", - generate_hash("r_clampLodScale") - }, - { - "r_clear", - "Controls how the color buffer is cleared", - generate_hash("r_clear") - }, - { - "r_clearColor", - "Color to clear the screen to when clearing the frame buffer", - generate_hash("r_clearColor") - }, - { - "r_clearColor2", - "Color to clear every second frame to (for use during development)", - generate_hash("r_clearColor2") - }, - { - "r_clutCompositeVisionSet", - "Composite clut with vision set.", - generate_hash("r_clutCompositeVisionSet") - }, - { - "r_cmdbuf_worker", - "Process command buffer in a separate thread", - generate_hash("r_cmdbuf_worker") - }, - { - "r_colorGradingEnable", - "Enable color grading.", - generate_hash("r_colorGradingEnable") - }, - { - "r_colorMap", - "Replace all color maps with pure black or pure white", - generate_hash("r_colorMap") - }, - { - "r_colorScaleUseTweaks", - "Override color scale LightSet settings with tweak dvar values. (MP)", - generate_hash("r_colorScaleUseTweaks") - }, - { - "r_combinePostOpaqueFx", - "", - generate_hash("r_combinePostOpaqueFx") - }, - { - "r_contrast", - "Contrast adjustment", - generate_hash("r_contrast") - }, - { - "r_darkBlur", - "Apply blur (decrease of visual acuity) when dark", - generate_hash("r_darkBlur") - }, - { - "r_darkBlurPower", - "Power curve of blurring (decrease of visual acuity) when dark", - generate_hash("r_darkBlurPower") - }, - { - "r_darkBlurRadius", - "Radius of blurring (decrease of visual acuity) when dark", - generate_hash("r_darkBlurRadius") - }, - { - "r_darkColor", - "Reduce color sensitivity when dark", - generate_hash("r_darkColor") - }, - { - "r_darkColorPower", - "Power curve of color sensitivity when dark", - generate_hash("r_darkColorPower") - }, - { - "r_debugLineWidth", - "Width of server side debug lines", - generate_hash("r_debugLineWidth") - }, - { - "r_defaultPatchCount", - "Patches per thread group for all other surfaces.", - generate_hash("r_defaultPatchCount") - }, - { - "r_depthPrepass", - "Enable depth prepass for various geometries", - generate_hash("r_depthPrepass") - }, - { - "r_depthSortEnable", - "Enable sorting of transparent surfaces.", - generate_hash("r_depthSortEnable") - }, - { - "r_depthSortRange", - "Range to consider depth sort,", - generate_hash("r_depthSortRange") - }, - { - "r_desaturation", - "Desaturation adjustment", - generate_hash("r_desaturation") - }, - { - "r_detailMap", - "Replace all detail maps with an image that effectively disables them", - generate_hash("r_detailMap") - }, - { - "r_diffuseColorScale", - "Globally scale the diffuse color of all point lights", - generate_hash("r_diffuseColorScale") - }, - { - "r_displacementMap", - "Replace all displacement maps with an image that effectively disables them", - generate_hash("r_displacementMap") - }, - { - "r_displacementPatchCount", - "Patches per thread group for displacement surfaces.", - generate_hash("r_displacementPatchCount") - }, - { - "r_distortion", - "Enable distortion", - generate_hash("r_distortion") - }, - { - "r_distortion_script_force_off", - "Force distortion off in script", - generate_hash("r_distortion_script_force_off") - }, - { - "r_dlightLimit", - "Maximum number of dynamic lights drawn simultaneously", - generate_hash("r_dlightLimit") - }, - { - "r_dof_bias", - "Depth of field bias as a power function (like gamma); less than 1 is sharper", - generate_hash("r_dof_bias") - }, - { - "r_dof_enable", - "Enable the depth of field effect", - generate_hash("r_dof_enable") - }, - { - "r_dof_farBlur", - "", - generate_hash("r_dof_farBlur") - }, - { - "r_dof_farEnd", - "Depth of field far end distance, in inches", - generate_hash("r_dof_farEnd") - }, - { - "r_dof_farStart", - "Depth of field far start distance, in inches", - generate_hash("r_dof_farStart") - }, - { - "r_dof_nearBlur", - "", - generate_hash("r_dof_nearBlur") - }, - { - "r_dof_nearEnd", - "Depth of field near end distance, in inches", - generate_hash("r_dof_nearEnd") - }, - { - "r_dof_nearStart", - "Depth of field near start distance, in inches", - generate_hash("r_dof_nearStart") - }, - { - "r_dof_physical_adsFocusSpeed", - "ADS focus speed (focus dist. far to near, focus dist. near to far, aperture opening, aperture closing)", - generate_hash("r_dof_physical_adsFocusSpeed") - }, - { - "r_dof_physical_adsMaxFstop", - "ADS maximum f-stop (optimal aperture and focus distance are automatically calculated for this mode)", - generate_hash("r_dof_physical_adsMaxFstop") - }, - { - "r_dof_physical_adsMinFstop", - "ADS minimum f-stop (optimal aperture and focus distance are automatically calculated for this mode)", - generate_hash("r_dof_physical_adsMinFstop") - }, - { - "r_dof_physical_bokehEnable", - "Enable the bokeh depth of field effect", - generate_hash("r_dof_physical_bokehEnable") - }, - { - "r_dof_physical_bokehPreset", - "Changes dof sampling quality", - generate_hash("r_dof_physical_bokehPreset") - }, - { - "r_dof_physical_bokehRotation", - "Bokeh shape rotation in degrees (hexagonal and octogonal only)", - generate_hash("r_dof_physical_bokehRotation") - }, - { - "r_dof_physical_bokehShape", - "Changes the bokeh shape", - generate_hash("r_dof_physical_bokehShape") - }, - { - "r_dof_physical_bokehSharpness", - "Bokeh shape sharpness, trades sharpness for stability (circular only)", - generate_hash("r_dof_physical_bokehSharpness") - }, - { - "r_dof_physical_enable", - "enable physical camera controls (using aperture priority)", - generate_hash("r_dof_physical_enable") - }, - { - "r_dof_physical_filmDiagonal", - "Diagonal size of the film/sensor (mm). The bigger the sensor size, the bigger the circle of confusion (which means stronger blurring at all distances). Defaults to full-frame 35mm", - generate_hash("r_dof_physical_filmDiagonal") - }, - { - "r_dof_physical_focusDistance", - "Distance to the plane in focus for the scene", - generate_hash("r_dof_physical_focusDistance") - }, - { - "r_dof_physical_fstop", - "Aperture of the camera for the scene. Lower f-stop yields a shallower depth of field. Typical values range from f/1 to f/22. Rare extremes are f/0.75 and f/32", - generate_hash("r_dof_physical_fstop") - }, - { - "r_dof_physical_hipEnable", - "Enable hyperfocal mode", - generate_hash("r_dof_physical_hipEnable") - }, - { - "r_dof_physical_hipFocusSpeed", - "Hyperfocal mode focus speed (focus dist. far to near, focus dist. near to far, aperture opening, aperture closing)", - generate_hash("r_dof_physical_hipFocusSpeed") - }, - { - "r_dof_physical_hipFstop", - "Aperture of the camera for the scene in the hyperfocal mode", - generate_hash("r_dof_physical_hipFstop") - }, - { - "r_dof_physical_hipSharpCocDiameter", - "Defines what circle of confusion can be considered sharp (mm). Defaults to 0.03mm, generally accepted value for 35mm", - generate_hash("r_dof_physical_hipSharpCocDiameter") - }, - { - "r_dof_physical_maxCocDiameter", - "Maximum circle of confusion diameter (virtual units, might be clamped for bokeh dof)", - generate_hash("r_dof_physical_maxCocDiameter") - }, - { - "r_dof_physical_minFocusDistance", - "Minimum focus distance (inches)", - generate_hash("r_dof_physical_minFocusDistance") - }, - { - "r_dof_physical_viewModelFocusDistance", - "Distance to the plane in focus for the scene", - generate_hash("r_dof_physical_viewModelFocusDistance") - }, - { - "r_dof_physical_viewModelFstop", - "Aperture of the camera for the view model. Lower f-stop yields a shallower depth of field. Typical values range from f/1 to f/22. Rare extremes are f/0.75 and f/32", - generate_hash("r_dof_physical_viewModelFstop") - }, - { - "r_dof_tweak", - "Use dvars to set the depth of field effect; overrides r_dof_enable", - generate_hash("r_dof_tweak") - }, - { - "r_dof_viewModelEnd", - "Depth of field viewmodel end distance, in inches", - generate_hash("r_dof_viewModelEnd") - }, - { - "r_dof_viewModelStart", - "Depth of field viewmodel start distance, in inches", - generate_hash("r_dof_viewModelStart") - }, - { - "r_drawSun", - "Enable sun effects", - generate_hash("r_drawSun") - }, - { - "r_drawWater", - "Enable water animation", - generate_hash("r_drawWater") - }, - { - "r_dynamicOPL", - "Enable drawing vfx lights as overlapping primary light for saving gpu performance.", - generate_hash("r_dynamicOPL") - }, - { - "r_dynamicSpotLightShadows", - "Enable shadows for dynamic/VFX spot lights, you should set this dvar then spawn the new light.", - generate_hash("r_dynamicSpotLightShadows") - }, - { - "r_elevatedPriority", - "Utilize priority elevation for process.", - generate_hash("r_elevatedPriority") - }, - { - "r_emblemBrightnessScale", - "Modifier that scales the brightness of the emblem on model materials", - generate_hash("r_emblemBrightnessScale") - }, - { - "r_emissiveMap", - "Replace all emissive maps with pure black or pure white", - generate_hash("r_emissiveMap") - }, - { - "r_enableNoTessBuckets", - "Enables placing triangles that don't need tessellation into additional draw calls using non-tessellated shaders.", - generate_hash("r_enableNoTessBuckets") - }, - { - "r_envBrdfLutMap", - "Replace environment BRDF lookup table with pure black (no secondary specular) or pure white (maximum secondary specular)", - generate_hash("r_envBrdfLutMap") - }, - { - "r_envMapExponent", - "Reflection exponent.", - generate_hash("r_envMapExponent") - }, - { - "r_envMapMaxIntensity", - "Max reflection intensity based on glancing angle.", - generate_hash("r_envMapMaxIntensity") - }, - { - "r_envMapMinIntensity", - "", - generate_hash("r_envMapMinIntensity") - }, - { - "r_envMapOverride", - "", - generate_hash("r_envMapOverride") - }, - { - "r_envMapSunIntensity", - "Max sun specular intensity intensity with env map materials.", - generate_hash("r_envMapSunIntensity") - }, - { - "r_eyePupil", - " Change eye's pupil Size.", - generate_hash("r_eyePupil") - }, - { - "r_eyeRedness", - " Change eye's redness.", - generate_hash("r_eyeRedness") - }, - { - "r_eyeWetness", - " Change eye's wetness.", - generate_hash("r_eyeWetness") - }, - { - "r_fastModelPrimaryLightCheck", - "Reduce R_GetNonSunPrimaryLightForSphere/R_GetNonSunPrimaryLightForBox function calls", - generate_hash("r_fastModelPrimaryLightCheck") - }, - { - "r_fastModelPrimaryLightLink", - "Speed up R_LinkSphereEntityToPrimaryLights and R_LinkBoxEntityToPrimaryLights.", - generate_hash("r_fastModelPrimaryLightLink") - }, - { - "r_filmAltShader", - "Use alternate shader (with middle tint and dark desat) for film color.", - generate_hash("r_filmAltShader") - }, - { - "r_filmTweakBrightness", - "Tweak dev var; film color brightness", - generate_hash("r_filmTweakBrightness") - }, - { - "r_filmTweakContrast", - "Tweak dev var; film color contrast", - generate_hash("r_filmTweakContrast") - }, - { - "r_filmTweakDarkTint", - "", - generate_hash("r_filmTweakDarkTint") - }, - { - "r_filmTweakDesaturation", - "Tweak dev var; Desaturation applied after all 3D drawing to light areas", - generate_hash("r_filmTweakDesaturation") - }, - { - "r_filmTweakDesaturationDark", - "Tweak dev var; Additional desaturation applied after all 3D drawing to dark areas", - generate_hash("r_filmTweakDesaturationDark") - }, - { - "r_filmTweakEnable", - "Tweak dev var; enable film color effects", - generate_hash("r_filmTweakEnable") - }, - { - "r_filmTweakInvert", - "Tweak dev var; enable inverted video", - generate_hash("r_filmTweakInvert") - }, - { - "r_filmTweakLightTint", - "", - generate_hash("r_filmTweakLightTint") - }, - { - "r_filmTweakMediumTint", - "", - generate_hash("r_filmTweakMediumTint") - }, - { - "r_filmUseTweaks", - "Overide film effects with tweak dvar values.", - generate_hash("r_filmUseTweaks") - }, - { - "r_flushAfterExecute", - "Whether to Flush after ExecuteCommandList.", - generate_hash("r_flushAfterExecute") - }, - { - "r_fog", - "Set to 0 to disable fog", - generate_hash("r_fog") - }, - { - "r_fog_depthhack_scale", - "Fog scale for depth hack surfaces", - generate_hash("r_fog_depthhack_scale") - }, - { - "r_fog_ev_adjust", - "Fog color ev adjustment (+2 means fog color is 2 stops brighter)", - generate_hash("r_fog_ev_adjust") - }, - { - "r_font_cache_debug_display", - "Display the current fontcache texture on the HUD for debug purposes", - generate_hash("r_font_cache_debug_display") - }, - { - "r_forceLod", - "Force all level of detail to this level", - generate_hash("r_forceLod") - }, - { - "r_fullbright", - "Toggles rendering without lighting", - generate_hash("r_fullbright") - }, - { - "r_fxaaSubpixel", - "FXAA sub-pixel amount, lower values have more aliasing and less blur", - generate_hash("r_fxaaSubpixel") - }, - { - "r_FXAverageColorFunc", - "How to compute FX system average color? 0 = use IWrad equation, 1 = legacy equation, 2 = spherical harmonics 1 coefficient.", - generate_hash("r_FXAverageColorFunc") - }, - { - "r_globalGenericMaterialScale", - "Hack global generic material constants", - generate_hash("r_globalGenericMaterialScale") - }, - { - "r_glow_allowed", - "Allow glow.", - generate_hash("r_glow_allowed") - }, - { - "r_glow_allowed_script_forced", - "Force 'allow glow' to be treated as true, by script.", - generate_hash("r_glow_allowed_script_forced") - }, - { - "r_gunSightColorEntityScale", - "Scale the gun sight color when over an entity.", - generate_hash("r_gunSightColorEntityScale") - }, - { - "r_gunSightColorNoneScale", - "Scale the gun sight color when not over an entity.", - generate_hash("r_gunSightColorNoneScale") - }, - { - "r_hbaoBias", - "HBAO bias", - generate_hash("r_hbaoBias") - }, - { - "r_hbaoBlurEnable", - "HBAO blur enabled", - generate_hash("r_hbaoBlurEnable") - }, - { - "r_hbaoBlurSharpness", - "HBAO blur sharpness", - generate_hash("r_hbaoBlurSharpness") - }, - { - "r_hbaoCoarseAO", - "HBAO coarse AO", - generate_hash("r_hbaoCoarseAO") - }, - { - "r_hbaoDebug", - "Debug render HBAO occlusion", - generate_hash("r_hbaoDebug") - }, - { - "r_hbaoDetailAO", - "HBAO detail AO", - generate_hash("r_hbaoDetailAO") - }, - { - "r_hbaoPowerExponent", - "HBAO power exponent", - generate_hash("r_hbaoPowerExponent") - }, - { - "r_hbaoRadius", - "HBAO radius", - generate_hash("r_hbaoRadius") - }, - { - "r_hbaoSceneScale", - "HBAO scene scale", - generate_hash("r_hbaoSceneScale") - }, - { - "r_hbaoStrengthBlend", - "Blend factor between the artist-tuned proportional strength r_hbaoStrengthScale*artStrength, and the fixed strength r_hbaoStrengthFixed. A value of 0.0 is fully the proportional value, and a value of 1.0 is fully the fixed value.", - generate_hash("r_hbaoStrengthBlend") - }, - { - "r_hbaoStrengthFixed", - "Fixed HBAO strength. Only used if r_hbaoStrengthBlend > 0.0.", - generate_hash("r_hbaoStrengthFixed") - }, - { - "r_hbaoStrengthScale", - "Scale factor to convert SSAO strength to HBAO strength. Only used if r_hbaoStrengthBlend < 1.0.", - generate_hash("r_hbaoStrengthScale") - }, - { - "r_hbaoUseScriptScale", - "Enable/disable script-controlled strength scale while HBAO is active.", - generate_hash("r_hbaoUseScriptScale") - }, - { - "r_hemiAoBlurTolerance", - "Hemi SSAO Blur Tolerance (log10)", - generate_hash("r_hemiAoBlurTolerance") - }, - { - "r_hemiAoCombineResolutionsBeforeBlur", - "The higher quality modes blend wide and narrow sampling patterns. The wide pattern is due to deinterleaving and requires blurring. The narrow pattern is not on a deinterleaved buffer, but it only samples every other pixel. The blur on it is optional. If you combine the two before blurring, the narrow will get blurred as well. This creates a softer effect but can remove any visible noise from having 50% sample coverage.", - generate_hash("r_hemiAoCombineResolutionsBeforeBlur") - }, - { - "r_hemiAoCombineResolutionsWithMul", - "When combining the wide and narrow patterns, a mul() operation can be used or a min() operation. Multiplication exaggerates the result creating even darker creases. This is an artistic choice. I think it looks less natural, but often art teams prefer more exaggerated contrast. For me, it's more about having the right AO falloff so that it's a smooth gradient rather than falling off precipitously and forming overly dark recesses.", - generate_hash("r_hemiAoCombineResolutionsWithMul") - }, - { - "r_hemiAoDepthSquash", - "Hemi SSAO depth squash. Value is rcp.", - generate_hash("r_hemiAoDepthSquash") - }, - { - "r_hemiAoEnable", - "Enable Hemi SSAO", - generate_hash("r_hemiAoEnable") - }, - { - "r_hemiAoHierarchyDepth", - "Hemi SSAO recursion depth (filter width)", - generate_hash("r_hemiAoHierarchyDepth") - }, - { - "r_hemiAoMaxDepthDownsample", - "Use max depth value when downsampling, instead of pseudo-randomly picking a depth sample? Leaving this at the default false may produce more stable results.", - generate_hash("r_hemiAoMaxDepthDownsample") - }, - { - "r_hemiAoNoiseFilterTolerance", - "This is necessary to filter out pixel shimmer due to bilateral upsampling with too much lost resolution. High frequency detail can sometimes not be reconstructed, and the noise filter fills in the missing pixels with the result of the higher resolution SSAO. Value is log10.", - generate_hash("r_hemiAoNoiseFilterTolerance") - }, - { - "r_hemiAoPower", - "Power curve applied to Hemi SSAO factor, not applied in game yet", - generate_hash("r_hemiAoPower") - }, - { - "r_hemiAoQualityLevel", - "Hemi SSAO quality setting", - generate_hash("r_hemiAoQualityLevel") - }, - { - "r_hemiAoRejectionFalloff", - "Controls how aggressive to fade off samples that occlude spheres but by so much as to be unreliable. This is what gives objects a dark halo around them when placed in front of a wall. If you want to fade off the halo, boost your rejection falloff. The tradeoff is that it reduces overall AO. Value is rcp.", - generate_hash("r_hemiAoRejectionFalloff") - }, - { - "r_hemiAoStrength", - "Strength of Hemi Screen Space Ambient Occlusion effect", - generate_hash("r_hemiAoStrength") - }, - { - "r_hemiAoUpsampleTolerance", - "Hemi SSAO Upsample Tolerance (log10)", - generate_hash("r_hemiAoUpsampleTolerance") - }, - { - "r_heroLighting", - "Enable hero-only lighting", - generate_hash("r_heroLighting") - }, - { - "r_highLodDist", - "Distance for high level of detail", - generate_hash("r_highLodDist") - }, - { - "r_hudFx", - "Draw HUD Effects", - generate_hash("r_hudFx") - }, - { - "r_hudOutlineEnable", - "Enables wireframe outlines to be drawn around DObjs (as a post process).", - generate_hash("r_hudOutlineEnable") - }, - { - "r_hudOutlinePostMode", - "hud outline apply mode", - generate_hash("r_hudOutlinePostMode") - }, - { - "r_hudOutlineWidth", - "Set the width of the Hud Outline", - generate_hash("r_hudOutlineWidth") - }, - { - "r_ignore", - "", - generate_hash("r_ignore") - }, - { - "r_ignoref", - "", - generate_hash("r_ignoref") - }, - { - "r_imageQuality", - "Image quality", - generate_hash("r_imageQuality") - }, - { - "r_inGameVideo", - "Allow in game cinematics", - generate_hash("r_inGameVideo") - }, - { - "r_lateAllocParamCacheAllowed", - "Enable late allocation of parameter cache for VS stage.", - generate_hash("r_lateAllocParamCacheAllowed") - }, - { - "r_lateAllocParamCacheDefault", - "Late allocation of parameter cache value for sub-div materials.", - generate_hash("r_lateAllocParamCacheDefault") - }, - { - "r_lateAllocParamCacheDisplacement", - "Late allocation of parameter cache value for sub-div materials.", - generate_hash("r_lateAllocParamCacheDisplacement") - }, - { - "r_lateAllocParamCacheSubdiv", - "Late allocation of parameter cache value for sub-div materials.", - generate_hash("r_lateAllocParamCacheSubdiv") - }, - { - "r_lightCacheLessFrequentMaxDistance", - "Adjust the distance fx models (and models tagged as less-frequently-lit by script) move before immediately being relit", - generate_hash("r_lightCacheLessFrequentMaxDistance") - }, - { - "r_lightCacheLessFrequentPeriod", - "Adjust how frequently fx models (and models tagged as less-frequently-lit by script) get relit on average (1 is every frame, 8 is every 8th frame)", - generate_hash("r_lightCacheLessFrequentPeriod") - }, - { - "r_lightGridAvgApplyPrimaryLight", - "apply primary light color onto r_showLightGridAvgProbes boxes", - generate_hash("r_lightGridAvgApplyPrimaryLight") - }, - { - "r_lightGridAvgFollowCamera", - "allow the r_showLightGridAvgProbes boxes following current camera position", - generate_hash("r_lightGridAvgFollowCamera") - }, - { - "r_lightGridAvgProbeCount", - "how many light grid avg color probes will show up)", - generate_hash("r_lightGridAvgProbeCount") - }, - { - "r_lightGridAvgTraceGround", - " lock boxes to ground ", - generate_hash("r_lightGridAvgTraceGround") - }, - { - "r_lightGridContrast", - "Adjust the contrast of light color from the light grid", - generate_hash("r_lightGridContrast") - }, - { - "r_lightGridDefaultFXLightingLookup", - "Default FX lighting lookup location\n", - generate_hash("r_lightGridDefaultFXLightingLookup") - }, - { - "r_lightGridDefaultModelLightingLookup", - "Default model lighting lookup location", - generate_hash("r_lightGridDefaultModelLightingLookup") - }, - { - "r_lightGridEnableTweaks", - "Enable tweaks of the light color from the light grid", - generate_hash("r_lightGridEnableTweaks") - }, - { - "r_lightGridIntensity", - "Adjust the intensity of light color from the light grid", - generate_hash("r_lightGridIntensity") - }, - { - "r_lightGridSHBands", - "Spherical harmonics bands being used for evaluating current-gen light grids colors. 0 = default, 1 = 1 band, 2 = 2 bands, 3 = 3 bands.\n", - generate_hash("r_lightGridSHBands") - }, - { - "r_lightGridUseTweakedValues", - "Use tweaked values instead of default", - generate_hash("r_lightGridUseTweakedValues") - }, - { - "r_lightMap", - "Replace all lightmaps with pure black or pure white", - generate_hash("r_lightMap") - }, - { - "r_litSurfaceHDRScalar", - "Vision set based scalar applied to lit surfaces", - generate_hash("r_litSurfaceHDRScalar") - }, - { - "r_loadForRenderer", - "Set to false to disable dx allocations (for dedicated server mode)", - generate_hash("r_loadForRenderer") - }, - { - "r_lockPvs", - "Lock the viewpoint used for determining what is visible to the current position and direction", - generate_hash("r_lockPvs") - }, - { - "r_lod4Dist", - "Distance for lowest level of detail 4", - generate_hash("r_lod4Dist") - }, - { - "r_lod5Dist", - "Distance for lowest level of detail 5", - generate_hash("r_lod5Dist") - }, - { - "r_lodBiasRigid", - "", - generate_hash("r_lodBiasRigid") - }, - { - "r_lodBiasSkinned", - "", - generate_hash("r_lodBiasSkinned") - }, - { - "r_lodScaleRigid", - "", - generate_hash("r_lodScaleRigid") - }, - { - "r_lodScaleSkinned", - "", - generate_hash("r_lodScaleSkinned") - }, - { - "r_lowestLodDist", - "Distance for lowest level of detail", - generate_hash("r_lowestLodDist") - }, - { - "r_lowLodDist", - "Distance for low level of detail", - generate_hash("r_lowLodDist") - }, - { - "r_mbEnable", - "Set of objects which will be enabled for motion blur", - generate_hash("r_mbEnable") - }, - { - "r_mbFastEnable", - "Toggle on/off fast high quality motion blur", - generate_hash("r_mbFastEnable") - }, - { - "r_mbFastPreset", - "Changes motion blur quality", - generate_hash("r_mbFastPreset") - }, - { - "r_mdao", - "Enable the medium distance ambient occlusion feature", - generate_hash("r_mdao") - }, - { - "r_mdaoAsyncOccluderGen", - "The occluder generation step is performed via async compute", - generate_hash("r_mdaoAsyncOccluderGen") - }, - { - "r_mdaoBoneInfluenceRadiusScale", - "Scale for the bone influence radius for mdao", - generate_hash("r_mdaoBoneInfluenceRadiusScale") - }, - { - "r_mdaoCapsuleStrength", - "MDAO strength for capsule occluders", - generate_hash("r_mdaoCapsuleStrength") - }, - { - "r_mdaoMinBoneBoundsToOcclude", - "Minimum volume of the bone collider to create occluders for", - generate_hash("r_mdaoMinBoneBoundsToOcclude") - }, - { - "r_mdaoOccluderCullDistance", - "Culling distance for mdao occluders", - generate_hash("r_mdaoOccluderCullDistance") - }, - { - "r_mdaoOccluderFadeOutStartDistance", - "Fade out distance for mdao occluders", - generate_hash("r_mdaoOccluderFadeOutStartDistance") - }, - { - "r_mdaoUseTweaks", - "Use r_mdao* dvars instead of the current light set values for MDAO", - generate_hash("r_mdaoUseTweaks") - }, - { - "r_mdaoVolumeStrength", - "MDAO strength for volume occluders", - generate_hash("r_mdaoVolumeStrength") - }, - { - "r_mediumLodDist", - "Distance for medium level of detail", - generate_hash("r_mediumLodDist") - }, - { - "r_mode", - "Display mode", - generate_hash("r_mode") - }, - { - "r_modelLightingMap", - "Replace all model lighting maps (light grid) with pure black", - generate_hash("r_modelLightingMap") - }, - { - "r_monitor", - "Index of the monitor to use in a multi monitor system; 0 picks automatically.", - generate_hash("r_monitor") - }, - { - "r_mpRimColor", - "Change character's rim color for multiplayer", - generate_hash("r_mpRimColor") - }, - { - "r_mpRimDiffuseTint", - "Change character's rim diffuse tint for multiplayer.", - generate_hash("r_mpRimDiffuseTint") - }, - { - "r_mpRimStrength", - "Change character's rim color for multiplayer", - generate_hash("r_mpRimStrength") - }, - { - "r_multiGPU", - "Enable multi GPU compat mode.", - generate_hash("r_multiGPU") - }, - { - "r_normalMap", - "Replace all normal maps with a flat normal map", - generate_hash("r_normalMap") - }, - { - "r_nvidiaGPU", - "Enable NV API.", - generate_hash("r_nvidiaGPU") - }, - { - "r_offchipTessellationAllowed", - "Enable off-chip tessellation support.", - generate_hash("r_offchipTessellationAllowed") - }, - { - "r_offchipTessellationTfThreshold", - "Tessellation factor threshold for off-chip.", - generate_hash("r_offchipTessellationTfThreshold") - }, - { - "r_offchipTessellationWaveThreshold", - "Domain shader wave threshold for off-chip.", - generate_hash("r_offchipTessellationWaveThreshold") - }, - { - "r_omitUnusedRenderTargets", - "Omit unused render targets to save memory. Changing this requires a vid_restart.", - generate_hash("r_omitUnusedRenderTargets") - }, - { - "r_outdoor", - "Prevents snow from going indoors", - generate_hash("r_outdoor") - }, - { - "r_outdoorFeather", - "Outdoor z-feathering value", - generate_hash("r_outdoorFeather") - }, - { - "r_particleHdr", - "Enable Hdr Particle Features", - generate_hash("r_particleHdr") - }, - { - "r_patchCountAllowed", - "Enable run-time setting of patch count per draw call.", - generate_hash("r_patchCountAllowed") - }, - { - "r_picmip", - "Picmip level of color maps. If r_picmip_manual is 0, this is read-only.", - generate_hash("r_picmip") - }, - { - "r_picmip_bump", - "Picmip level of normal maps. If r_picmip_manual is 0, this is read-only.", - generate_hash("r_picmip_bump") - }, - { - "r_picmip_spec", - "Picmip level of specular maps. If r_picmip_manual is 0, this is read-only.", - generate_hash("r_picmip_spec") - }, - { - "r_picmip_water", - "Picmip level of water maps.", - generate_hash("r_picmip_water") - }, - { - "r_polygonOffsetBias", - "Offset bias for decal polygons; bigger values z-fight less but poke through walls more", - generate_hash("r_polygonOffsetBias") - }, - { - "r_polygonOffsetClamp", - "Offset clamp for decal polygons; bigger values z-fight less but poke through walls more", - generate_hash("r_polygonOffsetClamp") - }, - { - "r_polygonOffsetScale", - "Offset scale for decal polygons; bigger values z-fight less but poke through walls more", - generate_hash("r_polygonOffsetScale") - }, - { - "r_portalBevels", - "Helps cull geometry by angles of portals that are acute when projected onto the screen, value is the cosine of the angle", - generate_hash("r_portalBevels") - }, - { - "r_portalBevelsOnly", - "Use screen-space bounding box of portals rather than the actual shape of the portal projected onto the screen", - generate_hash("r_portalBevelsOnly") - }, - { - "r_portalMinClipArea", - "Don't clip child portals by a parent portal smaller than this fraction of the screen area.", - generate_hash("r_portalMinClipArea") - }, - { - "r_portalMinRecurseDepth", - "Ignore r_portalMinClipArea for portals with fewer than this many parent portals.", - generate_hash("r_portalMinRecurseDepth") - }, - { - "r_portalWalkLimit", - "Stop portal recursion after this many iterations. Useful for debugging portal errors.", - generate_hash("r_portalWalkLimit") - }, - { - "r_postAA", - "Post process antialiasing mode", - generate_hash("r_postAA") - }, - { - "r_postfx_enable", - "Enable post-processing effects such as color correction, bloom, depth-of-field, etc.", - generate_hash("r_postfx_enable") - }, - { - "r_preloadShaders", - "Force D3D to draw dummy geometry with all shaders during level load; may fix long pauses at level start.", - generate_hash("r_preloadShaders") - }, - { - "r_primaryLightTweakDiffuseStrength", - "Tweak the diffuse intensity for primary lights", - generate_hash("r_primaryLightTweakDiffuseStrength") - }, - { - "r_primaryLightTweakSpecularStrength", - "Tweak the specular intensity for primary lights", - generate_hash("r_primaryLightTweakSpecularStrength") - }, - { - "r_primaryLightUseTweaks", - "", - generate_hash("r_primaryLightUseTweaks") - }, - { - "r_reactiveMotionActorRadius", - "Radial distance from the ai characters that influences reactive motion models (inches)", - generate_hash("r_reactiveMotionActorRadius") - }, - { - "r_reactiveMotionActorVelocityMax", - "AI velocity considered the maximum when determining the length of motion tails (inches/sec)", - generate_hash("r_reactiveMotionActorVelocityMax") - }, - { - "r_reactiveMotionActorZOffset", - "Distance from the actor origin along Z direction where the actor's reactive motion effector sphere is centered at.", - generate_hash("r_reactiveMotionActorZOffset") - }, - { - "r_reactiveMotionEffectorStrengthScale", - "Additional scale for the effector influence, as a factor of the model part distance from the effector center and model part extents", - generate_hash("r_reactiveMotionEffectorStrengthScale") - }, - { - "r_reactiveMotionHelicopterLimit", - "Maximum number of helicopter entities that actively influence reactive motion. Can increase CPU cost of the scene.", - generate_hash("r_reactiveMotionHelicopterLimit") - }, - { - "r_reactiveMotionHelicopterRadius", - "Radial distance from the helicopter that influences reactive motion models (inches)", - generate_hash("r_reactiveMotionHelicopterRadius") - }, - { - "r_reactiveMotionHelicopterStrength", - "Scales the influence of helicopter wind tunnel motion", - generate_hash("r_reactiveMotionHelicopterStrength") - }, - { - "r_reactiveMotionPlayerHeightAdjust", - "Amount to adjust the vertical distance of the effector from the player position (inches)", - generate_hash("r_reactiveMotionPlayerHeightAdjust") - }, - { - "r_reactiveMotionPlayerRadius", - "Radial distance from the player that influences reactive motion models (inches)", - generate_hash("r_reactiveMotionPlayerRadius") - }, - { - "r_reactiveMotionPlayerZOffset", - "Distance from the player origin along Z direction where the player's reactive motion effector sphere is centered at.", - generate_hash("r_reactiveMotionPlayerZOffset") - }, - { - "r_reactiveMotionVelocityTailScale", - "Additional scale for the velocity-based motion tails, as a factor of the effector radius", - generate_hash("r_reactiveMotionVelocityTailScale") - }, - { - "r_reactiveMotionWindAmplitudeScale", - "Scales amplitude of wind wave motion", - generate_hash("r_reactiveMotionWindAmplitudeScale") - }, - { - "r_reactiveMotionWindAreaScale", - "Scales distribution of wind motion", - generate_hash("r_reactiveMotionWindAreaScale") - }, - { - "r_reactiveMotionWindDir", - "Controls the global wind direction", - generate_hash("r_reactiveMotionWindDir") - }, - { - "r_reactiveMotionWindFrequencyScale", - "Scales frequency of wind wave motion", - generate_hash("r_reactiveMotionWindFrequencyScale") - }, - { - "r_reactiveMotionWindStrength", - "Scale of the global wind direction (inches/sec)", - generate_hash("r_reactiveMotionWindStrength") - }, - { - "r_reflectionProbeMap", - "Replace all reflection probes with pure black", - generate_hash("r_reflectionProbeMap") - }, - { - "r_reflectionProbeNmlLuminance", - "Enable/disable shader code for computing luminance during reflection probe denormalization. This is just an experiment.\n", - generate_hash("r_reflectionProbeNmlLuminance") - }, - { - "r_rimLight0Color", - "", - generate_hash("r_rimLight0Color") - }, - { - "r_rimLight0Heading", - "Rim Light 0 heading in degrees", - generate_hash("r_rimLight0Heading") - }, - { - "r_rimLight0Pitch", - "Rim Light 0 pitch in degrees -90 is noon.", - generate_hash("r_rimLight0Pitch") - }, - { - "r_rimLightBias", - "How much to bias the n.l calculation", - generate_hash("r_rimLightBias") - }, - { - "r_rimLightDiffuseIntensity", - "Strength of the diffuse component of the rim light.", - generate_hash("r_rimLightDiffuseIntensity") - }, - { - "r_rimLightFalloffMaxDistance", - "Distance at which the rim light hits intensity of 100%.", - generate_hash("r_rimLightFalloffMaxDistance") - }, - { - "r_rimLightFalloffMinDistance", - "Distance at which the rim light hits intensity of 100%.", - generate_hash("r_rimLightFalloffMinDistance") - }, - { - "r_rimLightFalloffMinIntensity", - "Intensity of the effect at and before minDistance.", - generate_hash("r_rimLightFalloffMinIntensity") - }, - { - "r_rimLightPower", - "Power to raise the n.l calculation", - generate_hash("r_rimLightPower") - }, - { - "r_rimLightSpecIntensity", - "Strength of the spec ( additive) component of the rim light", - generate_hash("r_rimLightSpecIntensity") - }, - { - "r_rimLightUseTweaks", - "Turn on rim lighting tweaks", - generate_hash("r_rimLightUseTweaks") - }, - { - "r_scaleViewport", - "Scale 3D viewports by this fraction. Use this to see if framerate is pixel shader bound.", - generate_hash("r_scaleViewport") - }, - { - "r_sceneMipShowOverlay", - "Toggles scene mip rendertarget overlay", - generate_hash("r_sceneMipShowOverlay") - }, - { - "r_showLightGrid", - "Show light grid debugging information (2: detailed, 3: detailed for this box only)", - generate_hash("r_showLightGrid") - }, - { - "r_showLightGridAvgProbes", - "show an array of boxes which are using the light grid average color at its location", - generate_hash("r_showLightGridAvgProbes") - }, - { - "r_showLightGridDetailInfo", - "Show more details for light grid debugging.", - generate_hash("r_showLightGridDetailInfo") - }, - { - "r_showLightProbes", - "Show the light probes at the light grid sample locations in world space centered around the camera.", - generate_hash("r_showLightProbes") - }, - { - "r_showMissingLightGrid", - "Use rainbow colors for entities that are outside the light grid", - generate_hash("r_showMissingLightGrid") - }, - { - "r_showModelLightingLowWaterMark", - "", - generate_hash("r_showModelLightingLowWaterMark") - }, - { - "r_showPortals", - "Show portals for debugging", - generate_hash("r_showPortals") - }, - { - "r_showPortalsOverview", - "Render 2d XY portal overlay scaled to fit to this distance. Useful for debugging portal errors.", - generate_hash("r_showPortalsOverview") - }, - { - "r_showReflectionProbeSelection", - "Show reflection probe selection", - generate_hash("r_showReflectionProbeSelection") - }, - { - "r_singleCell", - "Only draw things in the same cell as the camera. Most useful for seeing how big the current cell is.", - generate_hash("r_singleCell") - }, - { - "r_skipPvs", - "Skipt the determination of what is in the potentially visible set (disables most drawing)", - generate_hash("r_skipPvs") - }, - { - "r_sky_fog_intensity", - "Amount of sky fog fading", - generate_hash("r_sky_fog_intensity") - }, - { - "r_sky_fog_max_angle", - "End of angular sky fog fading", - generate_hash("r_sky_fog_max_angle") - }, - { - "r_sky_fog_min_angle", - "Start of angular sky fog fading", - generate_hash("r_sky_fog_min_angle") - }, - { - "r_skyFogUseTweaks", - "Enable dvar control of sky fog", - generate_hash("r_skyFogUseTweaks") - }, - { - "r_smaaThreshold", - "SMAA edge detection threshold", - generate_hash("r_smaaThreshold") - }, - { - "r_smodelInstancedRenderer", - "Render static models with instanced renderer", - generate_hash("r_smodelInstancedRenderer") - }, - { - "r_smodelInstancedThreshold", - "Minimum number of static model instances before instanced rendering is used", - generate_hash("r_smodelInstancedThreshold") - }, - { - "r_smp_backend", - "Process renderer back end in a separate thread", - generate_hash("r_smp_backend") - }, - { - "r_smp_worker", - "Process renderer front end in a separate thread", - generate_hash("r_smp_worker") - }, - { - "r_smp_worker_thread0", - "", - generate_hash("r_smp_worker_thread0") - }, - { - "r_smp_worker_thread1", - "", - generate_hash("r_smp_worker_thread1") - }, - { - "r_smp_worker_thread2", - "", - generate_hash("r_smp_worker_thread2") - }, - { - "r_smp_worker_thread3", - "undefined", - generate_hash("r_smp_worker_thread3") - }, - { - "r_smp_worker_thread4", - "undefined", - generate_hash("r_smp_worker_thread4") - }, - { - "r_smp_worker_thread5", - "undefined", - generate_hash("r_smp_worker_thread5") - }, - { - "r_smp_worker_thread6", - "undefined", - generate_hash("r_smp_worker_thread6") - }, - { - "r_smp_worker_thread7", - "undefined", - generate_hash("r_smp_worker_thread7") - }, - { - "r_specOccMap", - "Replace all specular occlusion maps with pure black (fully occluded) or pure white (not occluded)", - generate_hash("r_specOccMap") - }, - { - "r_specularColorScale", - "Set greater than 1 to brighten specular highlights", - generate_hash("r_specularColorScale") - }, - { - "r_specularMap", - "Replace all specular maps with pure black (off) or pure white (super shiny)", - generate_hash("r_specularMap") - }, - { - "r_spotLightEntityShadows", - "Enable entity shadows for spot lights.", - generate_hash("r_spotLightEntityShadows") - }, - { - "r_spotLightShadows", - "Enable shadows for spot lights.", - generate_hash("r_spotLightShadows") - }, - { - "r_ssao", - "Screen Space Ambient Occlusion mode", - generate_hash("r_ssao") - }, - { - "r_ssaoDebug", - "Render calculated or blurred Screen Space Ambient Occlusion values", - generate_hash("r_ssaoDebug") - }, - { - "r_ssaoDebugMip", - "Selects which mip level to render when r_ssaoDebug is enabled. If 0 and r_ssaoDownsample is enabled, will render mip 1.", - generate_hash("r_ssaoDebugMip") - }, - { - "r_ssaoDepthScale", - "Scale applied to depth values used for occlusion tests.", - generate_hash("r_ssaoDepthScale") - }, - { - "r_ssaoDepthScaleViewModel", - "Scale applied to depth values used for occlusion tests.", - generate_hash("r_ssaoDepthScaleViewModel") - }, - { - "r_ssaoDownsample", - "Screen Space Ambient Occlusion calculation occurs at half linear resolution", - generate_hash("r_ssaoDownsample") - }, - { - "r_ssaoFadeDepth", - "Depth at which the SSAO begins to fade out. It fades at even increments of this distance (e.g. it's at 1 for depth r_ssaoFadeDepth, 1/2 for depth 2*r_ssaoFadeDepth, etc.)", - generate_hash("r_ssaoFadeDepth") - }, - { - "r_ssaoGapFalloff", - "Falloff used to blend between creases (that should darken) and silhouettes (that should not darken). Lower values falloff more quickly.", - generate_hash("r_ssaoGapFalloff") - }, - { - "r_ssaoGradientFalloff", - "Falloff used to fade out the effect for steep depth gradients (i.e. surfaces nearly parallel to the camera direction). This fixes sampling artifacts that appear for surfaces nearly parallel to the camera direction (commonly occuring for flat ground planes).", - generate_hash("r_ssaoGradientFalloff") - }, - { - "r_ssaoMaxStrengthDepth", - "Depth at which SSAO strength is at its maximum", - generate_hash("r_ssaoMaxStrengthDepth") - }, - { - "r_ssaoMethod", - "Screen Space Ambient Occlusion method (original or IW6, both are volumetric obscurance)", - generate_hash("r_ssaoMethod") - }, - { - "r_ssaoMinPixelWidth", - "Minimum pixel width of the effect. When the effect is smaller than this, it is culled entirely.", - generate_hash("r_ssaoMinPixelWidth") - }, - { - "r_ssaoMinStrengthDepth", - "Depth at which SSAO strength is zero, effectively disabled", - generate_hash("r_ssaoMinStrengthDepth") - }, - { - "r_ssaoMultiRes", - "Screen Space Ambient Occlusion calculation occurs at half linear resolution", - generate_hash("r_ssaoMultiRes") - }, - { - "r_ssaoPower", - "Power curve applied to SSAO factor", - generate_hash("r_ssaoPower") - }, - { - "r_ssaoRejectDepth", - "Depth at which the SSAO is disabled. Smaller values result in more rejected pixels which is faster, but limits the distance at which the effect is visible.", - generate_hash("r_ssaoRejectDepth") - }, - { - "r_ssaoSampleCount", - "Selects the number of samples used for SSAO", - generate_hash("r_ssaoSampleCount") - }, - { - "r_ssaoScriptScale", - "Allows script to lerp to disable or enable the SSAO. This applies a scalar value to the SSAO strength. When set to 0, this effectively disables SSAO.", - generate_hash("r_ssaoScriptScale") - }, - { - "r_ssaoStrength", - "Strength of Screen Space Ambient Occlusion effect", - generate_hash("r_ssaoStrength") - }, - { - "r_ssaoUseTweaks", - "Use r_ssao* dvars instead of the current light set values for SSAO", - generate_hash("r_ssaoUseTweaks") - }, - { - "r_ssaoWidth", - "The width of the SSAO effect, in pixels at 720p. Larger values increase area but lower effective quality.", - generate_hash("r_ssaoWidth") - }, - { - "r_sse_skinning", - "Use Streaming SIMD Extensions for skinning", - generate_hash("r_sse_skinning") - }, - { - "r_ssrBlendScale", - "Add extra scale to ssr weight versus reflection probe weight, >1 value will make ssr more obvious.", - generate_hash("r_ssrBlendScale") - }, - { - "r_ssrFadeInDuration", - "Duration of the screen-space reflection fade-in, which occurs whenever the reflection source buffer is invalidated due to view changes (in particular, dual-view scope transitions).", - generate_hash("r_ssrFadeInDuration") - }, - { - "r_ssrPositionCorrection", - "Screen space reflection position correction blend factor", - generate_hash("r_ssrPositionCorrection") - }, - { - "r_ssrRoughnessMipParameters", - "X: mirror mip; Y: roughest mip; Z: roughness middle point, may need different value for different screen resolution on PC.", - generate_hash("r_ssrRoughnessMipParameters") - }, - { - "r_sssBlendWeight", - "Controls the blend between the wide (zero) and narrow (one) gaussians", - generate_hash("r_sssBlendWeight") - }, - { - "r_sssDebugMaterial", - "Debug Feature: toggle materials with SSS", - generate_hash("r_sssDebugMaterial") - }, - { - "r_sssEnable", - "Enables the subsurface scattering effect (note that disabling SSS will not prevent the filter from running)", - generate_hash("r_sssEnable") - }, - { - "r_sssGlobalRadius", - "Controls the global radius (in inches)", - generate_hash("r_sssGlobalRadius") - }, - { - "r_sssJitterRadius", - "Percentage of the kernel to be jittered", - generate_hash("r_sssJitterRadius") - }, - { - "r_sssNarrowRadius", - "Controls the narrow Gaussian radius", - generate_hash("r_sssNarrowRadius") - }, - { - "r_sssPreset", - "Changes subsurface scattering quality", - generate_hash("r_sssPreset") - }, - { - "r_sssWideRadius", - "Controls the wide Gaussian radius", - generate_hash("r_sssWideRadius") - }, - { - "r_subdiv", - "Enables Catmull Clark surface subdivision.", - generate_hash("r_subdiv") - }, - { - "r_subdivLimit", - "Set the maximum Catmull Clark subdivision level.", - generate_hash("r_subdivLimit") - }, - { - "r_subdivPatchCount", - "Patches per thread group for sub-division surfaces.", - generate_hash("r_subdivPatchCount") - }, - { - "r_subdomainLimit", - "Maximum number of extra tessellation subdivisions using instancing (max tess amts are 0:64, 1:128, 2:192, 3:256, max instances used are 0:1, 1:4, 2:9, 3:12)", - generate_hash("r_subdomainLimit") - }, - { - "r_subdomainScale", - "Debug only: Scales the extra subdivision amount (for values < 1, not all instanced sub triangles will draw).", - generate_hash("r_subdomainScale") - }, - { - "r_subwindow", - "subwindow to draw: left, right, top, bottom", - generate_hash("r_subwindow") - }, - { - "r_sun_from_dvars", - "Set sun flare values from dvars rather than the level", - generate_hash("r_sun_from_dvars") - }, - { - "r_sun_fx_position", - "Position in degrees of the sun effect", - generate_hash("r_sun_fx_position") - }, - { - "r_sunblind_fadein", - "time in seconds to fade blind from 0% to 100%", - generate_hash("r_sunblind_fadein") - }, - { - "r_sunblind_fadeout", - "time in seconds to fade blind from 100% to 0%", - generate_hash("r_sunblind_fadeout") - }, - { - "r_sunblind_max_angle", - "angle from sun in degrees inside which effect is max", - generate_hash("r_sunblind_max_angle") - }, - { - "r_sunblind_max_darken", - "0-1 fraction for how black the world is at max blind", - generate_hash("r_sunblind_max_darken") - }, - { - "r_sunblind_min_angle", - "angle from sun in degrees outside which effect is 0", - generate_hash("r_sunblind_min_angle") - }, - { - "r_sunflare_fadein", - "time in seconds to fade alpha from 0% to 100%", - generate_hash("r_sunflare_fadein") - }, - { - "r_sunflare_fadeout", - "time in seconds to fade alpha from 100% to 0%", - generate_hash("r_sunflare_fadeout") - }, - { - "r_sunflare_max_alpha", - "0-1 vertex color and alpha of sun at max effect", - generate_hash("r_sunflare_max_alpha") - }, - { - "r_sunflare_max_angle", - "angle from sun in degrees inside which effect is max", - generate_hash("r_sunflare_max_angle") - }, - { - "r_sunflare_max_size", - "largest size of flare effect in pixels at 640x480", - generate_hash("r_sunflare_max_size") - }, - { - "r_sunflare_min_angle", - "angle from sun in degrees outside which effect is 0", - generate_hash("r_sunflare_min_angle") - }, - { - "r_sunflare_min_size", - "smallest size of flare effect in pixels at 640x480", - generate_hash("r_sunflare_min_size") - }, - { - "r_sunflare_shader", - "name for flare effect; can be any material", - generate_hash("r_sunflare_shader") - }, - { - "r_sunglare_fadein", - "time in seconds to fade glare from 0% to 100%", - generate_hash("r_sunglare_fadein") - }, - { - "r_sunglare_fadeout", - "time in seconds to fade glare from 100% to 0%", - generate_hash("r_sunglare_fadeout") - }, - { - "r_sunglare_max_angle", - "angle from sun in degrees inside which effect is max", - generate_hash("r_sunglare_max_angle") - }, - { - "r_sunglare_max_lighten", - "0-1 fraction for how white the world is at max glare", - generate_hash("r_sunglare_max_lighten") - }, - { - "r_sunglare_min_angle", - "angle from sun in degrees inside which effect is max", - generate_hash("r_sunglare_min_angle") - }, - { - "r_sunInfDist", - "Sun infinite distance used to place sun fx", - generate_hash("r_sunInfDist") - }, - { - "r_sunshadowmap_cmdbuf_worker", - "Process shadowmap command buffer in a separate thread", - generate_hash("r_sunshadowmap_cmdbuf_worker") - }, - { - "r_sunsprite_shader", - "name for static sprite; can be any material", - generate_hash("r_sunsprite_shader") - }, - { - "r_sunsprite_size", - "diameter in pixels at 640x480 and 80 fov", - generate_hash("r_sunsprite_size") - }, - { - "r_surfaceHDRScalarUseTweaks", - "Enables lit and unlit surface scalar tweaks", - generate_hash("r_surfaceHDRScalarUseTweaks") - }, - { - "r_tessellation", - "Enables tessellation of world geometry, with an optional cutoff distance.", - generate_hash("r_tessellation") - }, - { - "r_tessellationCutoffDistance", - "Distance at which world geometry ceases to tessellate.", - generate_hash("r_tessellationCutoffDistance") - }, - { - "r_tessellationCutoffFalloff", - "Range over which tessellation is faded out, up to the cutoff.", - generate_hash("r_tessellationCutoffFalloff") - }, - { - "r_tessellationEyeScale", - "Scale applied due to eye * object normal for less tessellation on facing polygons.", - generate_hash("r_tessellationEyeScale") - }, - { - "r_tessellationFactor", - "Target edge length, based on dividing full window height by this factor, for dynamic tessellation. Use zero to disable tessellation.", - generate_hash("r_tessellationFactor") - }, - { - "r_tessellationHeightAuto", - "Correctly auto scale displacement heights for layers to grow as texture is stretched over larger surface areas to preserve feature proportions.", - generate_hash("r_tessellationHeightAuto") - }, - { - "r_tessellationHeightScale", - "Displacement height scale factor.", - generate_hash("r_tessellationHeightScale") - }, - { - "r_tessellationHybrid", - "Hybrid per pixel displacement scale.", - generate_hash("r_tessellationHybrid") - }, - { - "r_tessellationLodBias", - "Displacement map lod bias.", - generate_hash("r_tessellationLodBias") - }, - { - "r_texFilterAnisoMax", - "Maximum anisotropy to use for texture filtering", - generate_hash("r_texFilterAnisoMax") - }, - { - "r_texFilterAnisoMin", - "Minimum anisotropy to use for texture filtering (overridden by max)", - generate_hash("r_texFilterAnisoMin") - }, - { - "r_texFilterDisable", - "Disables all texture filtering (uses nearest only.)", - generate_hash("r_texFilterDisable") - }, - { - "r_texFilterMipBias", - "Change the mipmap bias", - generate_hash("r_texFilterMipBias") - }, - { - "r_texFilterMipMode", - "Forces all mipmaps to use a particular blend between levels (or disables mipping.)", - generate_hash("r_texFilterMipMode") - }, - { - "r_texFilterProbeBilinear", - "Force reflection probe to use bilinear filter", - generate_hash("r_texFilterProbeBilinear") - }, - { - "r_texShowMipMode", - "Forces textures with the specified mip filtering to draw black.", - generate_hash("r_texShowMipMode") - }, - { - "r_thermalColorOffset", - "Offset of the thermal colors (offset + scale*color)", - generate_hash("r_thermalColorOffset") - }, - { - "r_thermalColorScale", - "Scale of the thermal colors (offset + scale*color)", - generate_hash("r_thermalColorScale") - }, - { - "r_thermalDetailScale", - "Scale of the detail that is added to the thermal map from the normal map (multiplies the detail amount from AssetManager)", - generate_hash("r_thermalDetailScale") - }, - { - "r_thermalFadeColor", - "Color the thermal fades to at distance.", - generate_hash("r_thermalFadeColor") - }, - { - "r_thermalFadeControl", - "Select thermal fade mode", - generate_hash("r_thermalFadeControl") - }, - { - "r_thermalFadeMax", - "Distance at which thermal stops fading", - generate_hash("r_thermalFadeMax") - }, - { - "r_thermalFadeMin", - "Distance at which thermal starts fading", - generate_hash("r_thermalFadeMin") - }, - { - "r_tonemap", - "HDR Tonemapping mode", - generate_hash("r_tonemap") - }, - { - "r_tonemapAdaptSpeed", - "HDR Tonemap exposure adaptation speed", - generate_hash("r_tonemapAdaptSpeed") - }, - { - "r_tonemapAuto", - "HDR Tonemapping performs auto-exposure", - generate_hash("r_tonemapAuto") - }, - { - "r_tonemapAutoExposureAdjust", - "HDR Tonemap Auto Exposure Adjust value (set to 0.0 for automatic adjustment)", - generate_hash("r_tonemapAutoExposureAdjust") - }, - { - "r_tonemapBlack", - "HDR Filmic Tonemap black point", - generate_hash("r_tonemapBlack") - }, - { - "r_tonemapBlend", - "HDR Tonemapping blends between exposures", - generate_hash("r_tonemapBlend") - }, - { - "r_tonemapCrossover", - "HDR Filmic Tonemap crossover point", - generate_hash("r_tonemapCrossover") - }, - { - "r_tonemapDarkEv", - "HDR Tonemap Dark EV", - generate_hash("r_tonemapDarkEv") - }, - { - "r_tonemapDarkExposureAdjust", - "HDR Tonemap Dark Exposure Adjust", - generate_hash("r_tonemapDarkExposureAdjust") - }, - { - "r_tonemapExposure", - "HDR Tonemap exposure (in EV) override (only works in non-auto mode)", - generate_hash("r_tonemapExposure") - }, - { - "r_tonemapExposureAdjust", - "HDR Tonemap exposure adjustment (in EV, 0 is no adjustment, works like a camera where +1 reduces EV by 1)", - generate_hash("r_tonemapExposureAdjust") - }, - { - "r_tonemapGamma", - "HDR Tonemap gamma curve power", - generate_hash("r_tonemapGamma") - }, - { - "r_tonemapHighlightRange", - "HDR Tonemap dynamic range, which determines white point luminance", - generate_hash("r_tonemapHighlightRange") - }, - { - "r_tonemapLightEv", - "HDR Tonemap Light EV", - generate_hash("r_tonemapLightEv") - }, - { - "r_tonemapLightExposureAdjust", - "HDR Tonemap Light Exposure Adjust", - generate_hash("r_tonemapLightExposureAdjust") - }, - { - "r_tonemapLockAutoExposureAdjust", - "HDR Tonemapping lock auto exposure adjust", - generate_hash("r_tonemapLockAutoExposureAdjust") - }, - { - "r_tonemapMaxExposure", - "HDR Tonemap maximum exposure (in EV)", - generate_hash("r_tonemapMaxExposure") - }, - { - "r_tonemapMaxExposureAdjust", - "HDR Tonemap Max Exposure Adjust", - generate_hash("r_tonemapMaxExposureAdjust") - }, - { - "r_tonemapMidEv", - "HDR Tonemap Mid EV", - generate_hash("r_tonemapMidEv") - }, - { - "r_tonemapMidExposureAdjust", - "HDR Tonemap Mid Exposure Adjust", - generate_hash("r_tonemapMidExposureAdjust") - }, - { - "r_tonemapMinExposureAdjust", - "HDR Tonemap Min Exposure Adjust", - generate_hash("r_tonemapMinExposureAdjust") - }, - { - "r_tonemapShoulder", - "HDR Filmic Tonemap shoulder control (0 is linear)", - generate_hash("r_tonemapShoulder") - }, - { - "r_tonemapToe", - "HDR Filmic Tonemap toe control (0 is linear)", - generate_hash("r_tonemapToe") - }, - { - "r_tonemapUseCS", - "HDR Tonemapping uses compute shader.", - generate_hash("r_tonemapUseCS") - }, - { - "r_tonemapUseTweaks", - "Override tone map LightSet settings with tweak dvar values.", - generate_hash("r_tonemapUseTweaks") - }, - { - "r_tonemapWhite", - "HDR Filmic Tonemap white point", - generate_hash("r_tonemapWhite") - }, - { - "r_ui3d_debug_display", - "Show UI3D debug overlay", - generate_hash("r_ui3d_debug_display") - }, - { - "r_ui3d_h", - "ui3d texture window height", - generate_hash("r_ui3d_h") - }, - { - "r_ui3d_use_debug_values", - "Use UI debug values", - generate_hash("r_ui3d_use_debug_values") - }, - { - "r_ui3d_w", - "ui3d texture window width", - generate_hash("r_ui3d_w") - }, - { - "r_ui3d_x", - "ui3d texture window x", - generate_hash("r_ui3d_x") - }, - { - "r_ui3d_y", - "ui3d texture window y", - generate_hash("r_ui3d_y") - }, - { - "r_uiBlurDstMode", - "UI blur distortion mode. Fast uses the scene mip map render target, PostSun uses a downsampled post sun resolve buffer, PostSun HQ uses a gaussian blurred post sun resolve buffer.", - generate_hash("r_uiBlurDstMode") - }, - { - "r_umbra", - "Enables Umbra-based portal culling.", - generate_hash("r_umbra") - }, - { - "r_umbraAccurateOcclusionThreshold", - "The distance (in inches) to which accurate occlusion information is gathered. -1.0 = deduced automatically.", - generate_hash("r_umbraAccurateOcclusionThreshold") - }, - { - "r_umbraExclusive", - "Toggle Umbra for exclusive static culling (disables static portal dpvs)", - generate_hash("r_umbraExclusive") - }, - { - "r_umbraQueryParts", - "The number of parts the Umbra query frustum is broken into for async query processing as an M x N grid (0, 0 = all queries are synchronous).", - generate_hash("r_umbraQueryParts") - }, - { - "r_umbraUseBadPlaces", - "Enable/disable ability to disable umbra when inside special volumes defined in mp/umbraBadPlaces.csv.", - generate_hash("r_umbraUseBadPlaces") - }, - { - "r_umbraUseDpvsCullDist", - "Use cull distance from the DPVS instead of the far plane distance.", - generate_hash("r_umbraUseDpvsCullDist") - }, - { - "r_unlitSurfaceHDRScalar", - "Vision set based scalar applied to unlit surfaces to balance those surfaces with the luminance of the scene", - generate_hash("r_unlitSurfaceHDRScalar") - }, - { - "r_useComputeSkinning", - "Enables compute shader (GPU) skinning.", - generate_hash("r_useComputeSkinning") - }, - { - "r_useLayeredMaterials", - "Set to true to use layered materials on shader model 3 hardware", - generate_hash("r_useLayeredMaterials") - }, - { - "r_useLightGridDefaultFXLightingLookup", - "Enable/disable default fx lighting lookup\n", - generate_hash("r_useLightGridDefaultFXLightingLookup") - }, - { - "r_useLightGridDefaultModelLightingLookup", - "Enable/disable default model lighting lookup\n", - generate_hash("r_useLightGridDefaultModelLightingLookup") - }, - { - "r_useShadowGeomOpt", - "Enable iwRad shadow geometry optimization. It only works when we have the data generated in iwRad.", - generate_hash("r_useShadowGeomOpt") - }, - { - "r_useSunShadowPortals", - "Enable sun shadow portals when dir light change and not using cached shadow.", - generate_hash("r_useSunShadowPortals") - }, - { - "r_useXAnimIK", - "Enables IK animation.", - generate_hash("r_useXAnimIK") - }, - { - "r_vc_makelog", - "Enable logging of light grid points for the vis cache. 1 starts from scratch, 2 appends.", - generate_hash("r_vc_makelog") - }, - { - "r_vc_showlog", - "Show this many rows of light grid points for the vis cache", - generate_hash("r_vc_showlog") - }, - { - "r_veil", - "Apply veiling luminance (HDR glow)", - generate_hash("r_veil") - }, - { - "r_veilAntialiasing", - "Veil antialiasing mode (downsample technique used for first mip).", - generate_hash("r_veilAntialiasing") - }, - { - "r_veilBackgroundStrength", - "Strength of background when applying veiling luminance (HDR glow)", - generate_hash("r_veilBackgroundStrength") - }, - { - "r_veilFalloffScale1", - "Controls the size of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)", - generate_hash("r_veilFalloffScale1") - }, - { - "r_veilFalloffScale2", - "Controls the size of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)", - generate_hash("r_veilFalloffScale2") - }, - { - "r_veilFalloffWeight1", - "Controls the weight of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)", - generate_hash("r_veilFalloffWeight1") - }, - { - "r_veilFalloffWeight2", - "Controls the weight of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)", - generate_hash("r_veilFalloffWeight2") - }, - { - "r_veilFilter", - "Changes the veil filtering mode", - generate_hash("r_veilFilter") - }, - { - "r_veilPreset", - "Changes veil sampling quality", - generate_hash("r_veilPreset") - }, - { - "r_veilRadius", - "Controls the radius of the first Gaussian in virtual pixels (remaining Gaussians follow proportionally).", - generate_hash("r_veilRadius") - }, - { - "r_veilStrength", - "Strength of veiling luminance (HDR glow)", - generate_hash("r_veilStrength") - }, - { - "r_veilUseTweaks", - "Override veil LightSet settings with tweak dvar values.", - generate_hash("r_veilUseTweaks") - }, - { - "r_velocityPrepass", - "Perform velocity rendering during the depth prepass", - generate_hash("r_velocityPrepass") - }, - { - "r_viewModelLightAmbient", - "", - generate_hash("r_viewModelLightAmbient") - }, - { - "r_viewModelPrimaryLightTweakDiffuseStrength", - "Tweak the diffuse intensity for view model primary lights", - generate_hash("r_viewModelPrimaryLightTweakDiffuseStrength") - }, - { - "r_viewModelPrimaryLightTweakSpecularStrength", - "Tweak the specular intensity for view model primary lights", - generate_hash("r_viewModelPrimaryLightTweakSpecularStrength") - }, - { - "r_viewModelPrimaryLightUseTweaks", - "", - generate_hash("r_viewModelPrimaryLightUseTweaks") - }, - { - "r_volumeLightScatter", - "Enables volumetric light scattering", - generate_hash("r_volumeLightScatter") - }, - { - "r_volumeLightScatterAngularAtten", - "Distance of sun from center of screen before angular attenuation starts for god rays", - generate_hash("r_volumeLightScatterAngularAtten") - }, - { - "r_volumeLightScatterBackgroundDistance", - "Distance at which pixels are considered background for volume light scatter effect", - generate_hash("r_volumeLightScatterBackgroundDistance") - }, - { - "r_volumeLightScatterColor", - "", - generate_hash("r_volumeLightScatterColor") - }, - { - "r_volumeLightScatterDepthAttenFar", - "Pixels >= than this depth recieve full volume light scatter.", - generate_hash("r_volumeLightScatterDepthAttenFar") - }, - { - "r_volumeLightScatterDepthAttenNear", - "Pixels <= than this depth recieve no volume light scatter.", - generate_hash("r_volumeLightScatterDepthAttenNear") - }, - { - "r_volumeLightScatterEv", - "Light intensity (in EV) for volumetric light scattering", - generate_hash("r_volumeLightScatterEv") - }, - { - "r_volumeLightScatterLinearAtten", - "Coefficient of linear attenuation of god rays", - generate_hash("r_volumeLightScatterLinearAtten") - }, - { - "r_volumeLightScatterQuadraticAtten", - "Coefficient of quadratic attenuation of god rays)", - generate_hash("r_volumeLightScatterQuadraticAtten") - }, - { - "r_volumeLightScatterUseTweaks", - "Enables volumetric light scattering tweaks", - generate_hash("r_volumeLightScatterUseTweaks") - }, - { - "r_vsync", - "Enable v-sync before drawing the next frame to avoid 'tearing' artifacts.", - generate_hash("r_vsync") - }, - { - "r_warningRepeatDelay", - "Number of seconds after displaying a \"per-frame\" warning before it will display again", - generate_hash("r_warningRepeatDelay") - }, - { - "r_wideTessFactorsThreshold", - "If a surface has more than this many triangles, process triangles in parallel instead of surfaces.", - generate_hash("r_wideTessFactorsThreshold") - }, - { - "r_zfar", - "Change the distance at which culling fog reaches 100% opacity; 0 is off", - generate_hash("r_zfar") - }, - { - "r_znear", - "Things closer than this aren't drawn. Reducing this increases z-fighting in the distance.", - generate_hash("r_znear") - }, - { - "radarjamDistMax", - "", - generate_hash("radarjamDistMax") - }, - { - "radarjamDistMin", - "", - generate_hash("radarjamDistMin") - }, - { - "radarjamSinCurve", - "", - generate_hash("radarjamSinCurve") - }, - { - "radius_damage_debug", - "Turn on debug lines for radius damage traces", - generate_hash("radius_damage_debug") - }, - { - "ragdoll_baselerp_time", - "Default time ragdoll baselerp bones take to reach the base pose", - generate_hash("ragdoll_baselerp_time") - }, - { - "ragdoll_bullet_force", - "Bullet force applied to ragdolls", - generate_hash("ragdoll_bullet_force") - }, - { - "ragdoll_bullet_upbias", - "Upward bias applied to ragdoll bullet effects", - generate_hash("ragdoll_bullet_upbias") - }, - { - "ragdoll_dump_anims", - "Dump animation data when ragdoll fails", - generate_hash("ragdoll_dump_anims") - }, - { - "ragdoll_enable", - "Turn on ragdoll death animations", - generate_hash("ragdoll_enable") - }, - { - "ragdoll_explode_force", - "Explosive force applied to ragdolls", - generate_hash("ragdoll_explode_force") - }, - { - "ragdoll_explode_upbias", - "Upwards bias applied to ragdoll explosion effects", - generate_hash("ragdoll_explode_upbias") - }, - { - "ragdoll_exploding_bullet_force", - "Force applied to ragdolls from explosive bullets", - generate_hash("ragdoll_exploding_bullet_force") - }, - { - "ragdoll_exploding_bullet_upbias", - "Upwards bias applied to ragdoll from explosive bullets", - generate_hash("ragdoll_exploding_bullet_upbias") - }, - { - "ragdoll_idle_min_velsq", - "Minimum squared speed a ragdoll body needs to be moving before it will shut down due to time", - generate_hash("ragdoll_idle_min_velsq") - }, - { - "ragdoll_jitter_scale", - "Scale up or down the effect of physics jitter on ragdolls", - generate_hash("ragdoll_jitter_scale") - }, - { - "ragdoll_jointlerp_time", - "Default time taken to lerp down ragdoll joint friction", - generate_hash("ragdoll_jointlerp_time") - }, - { - "ragdoll_link_to_moving_platform", - "Enable client-side linking of ragdolls to script brush models when they go idle.", - generate_hash("ragdoll_link_to_moving_platform") - }, - { - "ragdoll_max_life", - "Max lifetime of a ragdoll system in msec", - generate_hash("ragdoll_max_life") - }, - { - "ragdoll_max_simulating", - "Max number of simultaneous active ragdolls - archived", - generate_hash("ragdoll_max_simulating") - }, - { - "ragdoll_max_stretch_pct", - "Force ragdoll limbs to not stretch more than this percentage in one frame", - generate_hash("ragdoll_max_stretch_pct") - }, - { - "ragdoll_mp_limit", - "Max number of simultaneous active ragdolls - archived", - generate_hash("ragdoll_mp_limit") - }, - { - "ragdoll_mp_resume_share_after_killcam", - "Msec after returning from killcam that splitscreen players will share ragdolls again.", - generate_hash("ragdoll_mp_resume_share_after_killcam") - }, - { - "ragdoll_resolve_penetration_bias", - "Bias value on force to push ragdolls out of environment.", - generate_hash("ragdoll_resolve_penetration_bias") - }, - { - "ragdoll_rotvel_scale", - "Ragdoll rotational velocity estimate scale", - generate_hash("ragdoll_rotvel_scale") - }, - { - "ragdoll_self_collision_scale", - "Scale the size of the collision capsules used to prevent ragdoll limbs from interpenetrating", - generate_hash("ragdoll_self_collision_scale") - }, - { - "ragdoll_stretch_iters", - "Iterations to run the alternate limb solver", - generate_hash("ragdoll_stretch_iters") - }, - { - "rankedPlayEndMatchKeepLobby", - "keep the lobby if the lobby host is in our private party.", - generate_hash("rankedPlayEndMatchKeepLobby") - }, - { - "rankedPlaylistLockoutDuration", - "Time in seconds to lock the ranked play playlist if a player quit the match early.", - generate_hash("rankedPlaylistLockoutDuration") - }, - { - "rate", - "Player's preferred network rate", - generate_hash("rate") - }, - { - "RemoteCameraSounds_DryLevel", - "", - generate_hash("RemoteCameraSounds_DryLevel") - }, - { - "RemoteCameraSounds_RoomType", - "", - generate_hash("RemoteCameraSounds_RoomType") - }, - { - "RemoteCameraSounds_WetLevel", - "", - generate_hash("RemoteCameraSounds_WetLevel") - }, - { - "requireOpenNat", - "", - generate_hash("requireOpenNat") - }, - { - "restrictMapPacksToGroups", - "Restrict map pack usage to needing all maps in an ala carte package in order to use as search criteria", - generate_hash("restrictMapPacksToGroups") - }, - { - "riotshield_bullet_damage_scale", - "Value to scale bullet damage to deployed riotshield.", - generate_hash("riotshield_bullet_damage_scale") - }, - { - "riotshield_deploy_limit_radius", - "Min distance deployed riotshields must be from each other.", - generate_hash("riotshield_deploy_limit_radius") - }, - { - "riotshield_deploy_trace_parallel", - "Report collisions when riotshield traces are parallel to plane of triangle. If disabled traces parallel to triangle planes do not report collisions at all.", - generate_hash("riotshield_deploy_trace_parallel") - }, - { - "riotshield_deployed_health", - "Deployed riotshield health.", - generate_hash("riotshield_deployed_health") - }, - { - "riotshield_destroyed_cleanup_time", - "Time (in seconds) destroyed riotshield model persists before disappearing", - generate_hash("riotshield_destroyed_cleanup_time") - }, - { - "riotshield_explosive_damage_scale", - "Value to scale explosive damage to deployed riotshield..", - generate_hash("riotshield_explosive_damage_scale") - }, - { - "riotshield_melee_damage_scale", - "Value to scale melee damage to deployed riotshield.", - generate_hash("riotshield_melee_damage_scale") - }, - { - "riotshield_projectile_damage_scale", - "Value to scale projectile damage to deployed riotshield.", - generate_hash("riotshield_projectile_damage_scale") - }, - { - "s_aggregate_ping_offset", - "offset to apply to aggregate ping values", - generate_hash("s_aggregate_ping_offset") - }, - { - "s_aggregate_ping_scale", - "8-bit fixed-point aggregate ping scaler value", - generate_hash("s_aggregate_ping_scale") - }, - { - "s_avg_max_weighting", - "weighting from 0-256 of party average ping vs. worst ping", - generate_hash("s_avg_max_weighting") - }, - { - "s_ds_pingclient_reping_wait_db", - "wait this# of frames for the db thread to settle down before repinging", - generate_hash("s_ds_pingclient_reping_wait_db") - }, - { - "s_use_aggregate_datacenter_pings", - "use newer system for aggregating party pings", - generate_hash("s_use_aggregate_datacenter_pings") - }, - { - "safeArea_adjusted_horizontal", - "User-adjustable horizontal safe area as a fraction of the screen width", - generate_hash("safeArea_adjusted_horizontal") - }, - { - "safeArea_adjusted_vertical", - "User-adjustable vertical safe area as a fraction of the screen height", - generate_hash("safeArea_adjusted_vertical") - }, - { - "safeArea_horizontal", - "Horizontal safe area as a fraction of the screen width", - generate_hash("safeArea_horizontal") - }, - { - "safeArea_vertical", - "Vertical safe area as a fraction of the screen height", - generate_hash("safeArea_vertical") - }, - { - "scr_conf_numlives", - "", - generate_hash("scr_conf_numlives") - }, - { - "scr_conf_playerrespawndelay", - "", - generate_hash("scr_conf_playerrespawndelay") - }, - { - "scr_conf_roundlimit", - "", - generate_hash("scr_conf_roundlimit") - }, - { - "scr_conf_scorelimit", - "", - generate_hash("scr_conf_scorelimit") - }, - { - "scr_conf_timelimit", - "", - generate_hash("scr_conf_timelimit") - }, - { - "scr_conf_waverespawndelay", - "", - generate_hash("scr_conf_waverespawndelay") - }, - { - "scr_conf_winlimit", - "", - generate_hash("scr_conf_winlimit") - }, - { - "scr_default_maxagents", - "", - generate_hash("scr_default_maxagents") - }, - { - "scr_diehard", - "", - generate_hash("scr_diehard") - }, - { - "scr_disableClientSpawnTraces", - "", - generate_hash("scr_disableClientSpawnTraces") - }, - { - "scr_dm_numlives", - "", - generate_hash("scr_dm_numlives") - }, - { - "scr_dm_playerrespawndelay", - "", - generate_hash("scr_dm_playerrespawndelay") - }, - { - "scr_dm_roundlimit", - "", - generate_hash("scr_dm_roundlimit") - }, - { - "scr_dm_scorelimit", - "", - generate_hash("scr_dm_scorelimit") - }, - { - "scr_dm_timelimit", - "", - generate_hash("scr_dm_timelimit") - }, - { - "scr_dm_waverespawndelay", - "", - generate_hash("scr_dm_waverespawndelay") - }, - { - "scr_dm_winlimit", - "", - generate_hash("scr_dm_winlimit") - }, - { - "scr_dom_numlives", - "", - generate_hash("scr_dom_numlives") - }, - { - "scr_dom_playerrespawndelay", - "", - generate_hash("scr_dom_playerrespawndelay") - }, - { - "scr_dom_roundlimit", - "", - generate_hash("scr_dom_roundlimit") - }, - { - "scr_dom_scorelimit", - "", - generate_hash("scr_dom_scorelimit") - }, - { - "scr_dom_timelimit", - "", - generate_hash("scr_dom_timelimit") - }, - { - "scr_dom_waverespawndelay", - "", - generate_hash("scr_dom_waverespawndelay") - }, - { - "scr_dom_winlimit", - "", - generate_hash("scr_dom_winlimit") - }, - { - "scr_explBulletMod", - "", - generate_hash("scr_explBulletMod") - }, - { - "scr_game_allowkillcam", - "script allow killcam", - generate_hash("scr_game_allowkillcam") - }, - { - "scr_game_deathpointloss", - "", - generate_hash("scr_game_deathpointloss") - }, - { - "scr_game_forceuav", - "", - generate_hash("scr_game_forceuav") - }, - { - "scr_game_graceperiod", - "", - generate_hash("scr_game_graceperiod") - }, - { - "scr_game_hardpoints", - "", - generate_hash("scr_game_hardpoints") - }, - { - "scr_game_killstreakdelay", - "", - generate_hash("scr_game_killstreakdelay") - }, - { - "scr_game_lockspectatorpov", - "Lock spectator mode globally, 0=freelook/unlocked, 1=first_person, 2=third_person", - generate_hash("scr_game_lockspectatorpov") - }, - { - "scr_game_onlyheadshots", - "", - generate_hash("scr_game_onlyheadshots") - }, - { - "scr_game_perks", - "", - generate_hash("scr_game_perks") - }, - { - "scr_game_spectatetype", - "", - generate_hash("scr_game_spectatetype") - }, - { - "scr_game_suicidepointloss", - "", - generate_hash("scr_game_suicidepointloss") - }, - { - "scr_gameended", - "", - generate_hash("scr_gameended") - }, - { - "scr_hardcore", - "", - generate_hash("scr_hardcore") - }, - { - "scr_horde_difficulty", - "", - generate_hash("scr_horde_difficulty") - }, - { - "scr_horde_maxagents", - "", - generate_hash("scr_horde_maxagents") - }, - { - "scr_horde_numlives", - "", - generate_hash("scr_horde_numlives") - }, - { - "scr_horde_playerrespawndelay", - "", - generate_hash("scr_horde_playerrespawndelay") - }, - { - "scr_horde_roundlimit", - "", - generate_hash("scr_horde_roundlimit") - }, - { - "scr_horde_scorelimit", - "", - generate_hash("scr_horde_scorelimit") - }, - { - "scr_horde_timelimit", - "", - generate_hash("scr_horde_timelimit") - }, - { - "scr_horde_waverespawndelay", - "", - generate_hash("scr_horde_waverespawndelay") - }, - { - "scr_horde_winlimit", - "", - generate_hash("scr_horde_winlimit") - }, - { - "scr_infect_numlives", - "", - generate_hash("scr_infect_numlives") - }, - { - "scr_infect_playerrespawndelay", - "", - generate_hash("scr_infect_playerrespawndelay") - }, - { - "scr_infect_roundlimit", - "", - generate_hash("scr_infect_roundlimit") - }, - { - "scr_infect_timelimit", - "", - generate_hash("scr_infect_timelimit") - }, - { - "scr_infect_waverespawndelay", - "", - generate_hash("scr_infect_waverespawndelay") - }, - { - "scr_infect_winlimit", - "", - generate_hash("scr_infect_winlimit") - }, - { - "scr_isgamescom", - "script use gamescom demo flow", - generate_hash("scr_isgamescom") - }, - { - "scr_maxPerPlayerExplosives", - "", - generate_hash("scr_maxPerPlayerExplosives") - }, - { - "scr_nukeCancelMode", - "", - generate_hash("scr_nukeCancelMode") - }, - { - "scr_nukeTimer", - "", - generate_hash("scr_nukeTimer") - }, - { - "scr_patientZero", - "", - generate_hash("scr_patientZero") - }, - { - "scr_player_forcerespawn", - "", - generate_hash("scr_player_forcerespawn") - }, - { - "scr_player_healthregentime", - "", - generate_hash("scr_player_healthregentime") - }, - { - "scr_player_maxhealth", - "", - generate_hash("scr_player_maxhealth") - }, - { - "scr_player_numlives", - "", - generate_hash("scr_player_numlives") - }, - { - "scr_player_respawndelay", - "", - generate_hash("scr_player_respawndelay") - }, - { - "scr_player_sprinttime", - "", - generate_hash("scr_player_sprinttime") - }, - { - "scr_player_suicidespawndelay", - "", - generate_hash("scr_player_suicidespawndelay") - }, - { - "scr_RequiredMapAspectratio", - "", - generate_hash("scr_RequiredMapAspectratio") - }, - { - "scr_riotShieldXPBullets", - "", - generate_hash("scr_riotShieldXPBullets") - }, - { - "scr_sd_bombtimer", - "", - generate_hash("scr_sd_bombtimer") - }, - { - "scr_sd_defusetime", - "", - generate_hash("scr_sd_defusetime") - }, - { - "scr_sd_multibomb", - "", - generate_hash("scr_sd_multibomb") - }, - { - "scr_sd_numlives", - "", - generate_hash("scr_sd_numlives") - }, - { - "scr_sd_planttime", - "", - generate_hash("scr_sd_planttime") - }, - { - "scr_sd_playerrespawndelay", - "", - generate_hash("scr_sd_playerrespawndelay") - }, - { - "scr_sd_roundlimit", - "", - generate_hash("scr_sd_roundlimit") - }, - { - "scr_sd_roundswitch", - "", - generate_hash("scr_sd_roundswitch") - }, - { - "scr_sd_scorelimit", - "", - generate_hash("scr_sd_scorelimit") - }, - { - "scr_sd_timelimit", - "", - generate_hash("scr_sd_timelimit") - }, - { - "scr_sd_waverespawndelay", - "", - generate_hash("scr_sd_waverespawndelay") - }, - { - "scr_sd_winlimit", - "", - generate_hash("scr_sd_winlimit") - }, - { - "scr_sr_bombtimer", - "", - generate_hash("scr_sr_bombtimer") - }, - { - "scr_sr_defusetime", - "", - generate_hash("scr_sr_defusetime") - }, - { - "scr_sr_multibomb", - "", - generate_hash("scr_sr_multibomb") - }, - { - "scr_sr_numlives", - "", - generate_hash("scr_sr_numlives") - }, - { - "scr_sr_planttime", - "", - generate_hash("scr_sr_planttime") - }, - { - "scr_sr_playerrespawndelay", - "", - generate_hash("scr_sr_playerrespawndelay") - }, - { - "scr_sr_roundlimit", - "", - generate_hash("scr_sr_roundlimit") - }, - { - "scr_sr_roundswitch", - "", - generate_hash("scr_sr_roundswitch") - }, - { - "scr_sr_scorelimit", - "", - generate_hash("scr_sr_scorelimit") - }, - { - "scr_sr_timelimit", - "", - generate_hash("scr_sr_timelimit") - }, - { - "scr_sr_waverespawndelay", - "", - generate_hash("scr_sr_waverespawndelay") - }, - { - "scr_sr_winlimit", - "", - generate_hash("scr_sr_winlimit") - }, - { - "scr_team_fftype", - "script team friendly fire type", - generate_hash("scr_team_fftype") - }, - { - "scr_team_respawntime", - "", - generate_hash("scr_team_respawntime") - }, - { - "scr_team_teamkillpointloss", - "", - generate_hash("scr_team_teamkillpointloss") - }, - { - "scr_team_teamkillspawndelay", - "", - generate_hash("scr_team_teamkillspawndelay") - }, - { - "scr_thirdPerson", - "", - generate_hash("scr_thirdPerson") - }, - { - "scr_tispawndelay", - "", - generate_hash("scr_tispawndelay") - }, - { - "scr_war_halftime", - "", - generate_hash("scr_war_halftime") - }, - { - "scr_war_numlives", - "", - generate_hash("scr_war_numlives") - }, - { - "scr_war_playerrespawndelay", - "", - generate_hash("scr_war_playerrespawndelay") - }, - { - "scr_war_roundlimit", - "", - generate_hash("scr_war_roundlimit") - }, - { - "scr_war_roundswitch", - "", - generate_hash("scr_war_roundswitch") - }, - { - "scr_war_scorelimit", - "", - generate_hash("scr_war_scorelimit") - }, - { - "scr_war_timelimit", - "", - generate_hash("scr_war_timelimit") - }, - { - "scr_war_waverespawndelay", - "", - generate_hash("scr_war_waverespawndelay") - }, - { - "scr_war_winlimit", - "", - generate_hash("scr_war_winlimit") - }, - { - "scr_xpscale", - "", - generate_hash("scr_xpscale") - }, - { - "screenshots_active", - "Are we allowed to enable Screenshots or not", - generate_hash("screenshots_active") - }, - { - "search_weight_asn", - "The weight used for the asn in weighted matchmaking.", - generate_hash("search_weight_asn") - }, - { - "search_weight_country_code", - "The weight used for the country code in weighted matchmaking.", - generate_hash("search_weight_country_code") - }, - { - "search_weight_lat_long", - "The weight used for the lat long in weighted matchmaking.", - generate_hash("search_weight_lat_long") - }, - { - "sensitivity", - "Mouse sensitivity", - generate_hash("sensitivity") - }, - { - "sentry_placement_feet_offset", - "Position of the feet from the center axis.", - generate_hash("sentry_placement_feet_offset") - }, - { - "sentry_placement_feet_trace_dist_z", - "Max distance for a foot to be considered touching the ground", - generate_hash("sentry_placement_feet_trace_dist_z") - }, - { - "sentry_placement_trace_dist", - "Distance along the trace axis where the sentry will attempt to position itself", - generate_hash("sentry_placement_trace_dist") - }, - { - "sentry_placement_trace_min_normal", - "Minimum normal to accept a sentry position", - generate_hash("sentry_placement_trace_min_normal") - }, - { - "sentry_placement_trace_parallel", - "Enable turret traces that are parallel to plane of triangle. If 0, traces parallel to triangle planes do not report collisions at all. If 2 (debug-only), then trace code ping pongs between new and old.", - generate_hash("sentry_placement_trace_parallel") - }, - { - "sentry_placement_trace_pitch", - "Pitch used for the trace axis", - generate_hash("sentry_placement_trace_pitch") - }, - { - "sentry_placement_trace_radius", - "Radius of the bound used for the placement trace", - generate_hash("sentry_placement_trace_radius") - }, - { - "sentry_placement_trace_radius_canon_safety", - "Extra radius used in the forward direction to compensate for the canon length", - generate_hash("sentry_placement_trace_radius_canon_safety") - }, - { - "server1", - "", - generate_hash("server1") - }, - { - "server10", - "", - generate_hash("server10") - }, - { - "server11", - "", - generate_hash("server11") - }, - { - "server12", - "", - generate_hash("server12") - }, - { - "server13", - "", - generate_hash("server13") - }, - { - "server14", - "", - generate_hash("server14") - }, - { - "server15", - "", - generate_hash("server15") - }, - { - "server16", - "", - generate_hash("server16") - }, - { - "server2", - "", - generate_hash("server2") - }, - { - "server3", - "", - generate_hash("server3") - }, - { - "server4", - "", - generate_hash("server4") - }, - { - "server5", - "", - generate_hash("server5") - }, - { - "server6", - "", - generate_hash("server6") - }, - { - "server7", - "", - generate_hash("server7") - }, - { - "server8", - "", - generate_hash("server8") - }, - { - "server9", - "", - generate_hash("server9") - }, - { - "session_immediateDeleteTinySessions", - "Whether to immediately delete sessions with 1 user", - generate_hash("session_immediateDeleteTinySessions") - }, - { - "session_modify_retry_on_failure", - "Enable session modify retry on failures.", - generate_hash("session_modify_retry_on_failure") - }, - { - "session_nonblocking", - "Non-blocking Session code", - generate_hash("session_nonblocking") - }, - { - "sf_use_bw", - "Intel Cheat - CoD Noir.", - generate_hash("sf_use_bw") - }, - { - "sf_use_chaplin", - "Intel Cheat - Ragtime Warfare.", - generate_hash("sf_use_chaplin") - }, - { - "sf_use_clustergrenade", - "Intel Cheat - Cluster Bombs.", - generate_hash("sf_use_clustergrenade") - }, - { - "sf_use_contrast", - "Intel Cheat - Super Contrast.", - generate_hash("sf_use_contrast") - }, - { - "sf_use_ignoreammo", - "Intel Cheat - Infinite Ammo.", - generate_hash("sf_use_ignoreammo") - }, - { - "sf_use_invert", - "Intel Cheat - Photo-Negative.", - generate_hash("sf_use_invert") - }, - { - "sf_use_lemonade_mode", - "Intel Cheat - Lemon-nade.", - generate_hash("sf_use_lemonade_mode") - }, - { - "sf_use_melon_mode", - "Intel Cheat - Melon Heads.", - generate_hash("sf_use_melon_mode") - }, - { - "sf_use_ragdoll_mode", - "Intel Cheat - Ragdoll Impact.", - generate_hash("sf_use_ragdoll_mode") - }, - { - "sf_use_slowmo", - "Intel Cheat - Slow-Mo Ability.", - generate_hash("sf_use_slowmo") - }, - { - "sf_use_tire_explosion", - "Intel Cheat - A Bad Year.", - generate_hash("sf_use_tire_explosion") - }, - { - "sf_use_tracksuit_mode", - "Intel Cheat - Zakhaev's Sons.", - generate_hash("sf_use_tracksuit_mode") - }, - { - "shortversion", - "Short game version", - generate_hash("shortversion") - }, - { - "showDebugAmmoCounter", - "Show the debug ammo counter when unable to show ar ammo counter", - generate_hash("showDebugAmmoCounter") - }, - { - "showPlaylistTotalPlayers", - "Toggle the display of the total number of players in a playlist and online", - generate_hash("showPlaylistTotalPlayers") - }, - { - "sm_cacheSpotShadows", - "Cache spot shadow maps, improves shadow map performance at the cost of memory (requires vid_restart)", - generate_hash("sm_cacheSpotShadows") - }, - { - "sm_cacheSpotShadowsEnabled", - "Enables caching of spot shadows.", - generate_hash("sm_cacheSpotShadowsEnabled") - }, - { - "sm_cacheSunShadow", - "Cache sun shadow map, improves shadow map performance at the cost of memory (requires vid_restart)", - generate_hash("sm_cacheSunShadow") - }, - { - "sm_cacheSunShadowEnabled", - "Enables caching of sun-based shadows.", - generate_hash("sm_cacheSunShadowEnabled") - }, - { - "sm_cameraOffset", - "", - generate_hash("sm_cameraOffset") - }, - { - "sm_dynlightAllSModels", - "Enable, from script, rendering all static models in dynamic light volume when shadow mapping", - generate_hash("sm_dynlightAllSModels") - }, - { - "sm_enable", - "Enable shadow mapping", - generate_hash("sm_enable") - }, - { - "sm_fastSunShadow", - "Fast sun shadow", - generate_hash("sm_fastSunShadow") - }, - { - "sm_lightScore_eyeProjectDist", - "When picking shadows for primary lights, measure distance from a point this far in front of the camera.", - generate_hash("sm_lightScore_eyeProjectDist") - }, - { - "sm_lightScore_spotProjectFrac", - "When picking shadows for primary lights, measure distance from a point this far in front of the camera.", - generate_hash("sm_lightScore_spotProjectFrac") - }, - { - "sm_maxLightsWithShadows", - "Limits how many primary lights can have shadow maps", - generate_hash("sm_maxLightsWithShadows") - }, - { - "sm_minSpotLightScore", - "Minimum score (based on intensity, radius, and position relative to the camera) for a spot light to have shadow maps.", - generate_hash("sm_minSpotLightScore") - }, - { - "sm_polygonOffsetBias", - "Shadow map offset bias", - generate_hash("sm_polygonOffsetBias") - }, - { - "sm_polygonOffsetClamp", - "Shadow map offset clamp", - generate_hash("sm_polygonOffsetClamp") - }, - { - "sm_polygonOffsetPreset", - "Shadow map polygon offset preset.", - generate_hash("sm_polygonOffsetPreset") - }, - { - "sm_polygonOffsetScale", - "Shadow map offset scale", - generate_hash("sm_polygonOffsetScale") - }, - { - "sm_qualitySpotShadow", - "Fast spot shadow", - generate_hash("sm_qualitySpotShadow") - }, - { - "sm_shadowUseTweaks", - "Override shadow LightSet settings with tweak dvar values.", - generate_hash("sm_shadowUseTweaks") - }, - { - "sm_spotDistCull", - "Distance cull spot shadows", - generate_hash("sm_spotDistCull") - }, - { - "sm_spotEnable", - "Enable spot shadow mapping from script", - generate_hash("sm_spotEnable") - }, - { - "sm_spotFilterRadius", - "Spot soft shadows filter radius", - generate_hash("sm_spotFilterRadius") - }, - { - "sm_spotLightScoreModelScale", - "Scale the calculated spot light score by this value if the light currently only affects static or script brush models.", - generate_hash("sm_spotLightScoreModelScale") - }, - { - "sm_spotLightScoreRadiusPower", - "Power to apply to light radius when determining spot light shadowing score (1.0 means radius scales up score a lot, 0.0 means don't scale score using radius)", - generate_hash("sm_spotLightScoreRadiusPower") - }, - { - "sm_spotLimit", - "Limit number of spot shadows from script", - generate_hash("sm_spotLimit") - }, - { - "sm_spotShadowFadeTime", - "How many seconds it takes for a primary light shadow map to fade in or out", - generate_hash("sm_spotShadowFadeTime") - }, - { - "sm_strictCull", - "Strict shadow map cull", - generate_hash("sm_strictCull") - }, - { - "sm_sunEnable", - "Enable sun shadow mapping from script", - generate_hash("sm_sunEnable") - }, - { - "sm_sunFilterRadius", - "Sun soft shadows filter radius", - generate_hash("sm_sunFilterRadius") - }, - { - "sm_sunSampleSizeNear", - "Shadow sample size", - generate_hash("sm_sunSampleSizeNear") - }, - { - "sm_sunShadowBoundsMax", - "Max Shadow Bounds", - generate_hash("sm_sunShadowBoundsMax") - }, - { - "sm_sunShadowBoundsMin", - "Min Shadow Bounds", - generate_hash("sm_sunShadowBoundsMin") - }, - { - "sm_sunShadowBoundsOverride", - "Override Shadow Bounds", - generate_hash("sm_sunShadowBoundsOverride") - }, - { - "sm_sunShadowCenter", - "Sun shadow center, 0 0 0 means don't override", - generate_hash("sm_sunShadowCenter") - }, - { - "sm_sunShadowCenterMode", - "When false center value only used for far map, when true sets both maps", - generate_hash("sm_sunShadowCenterMode") - }, - { - "sm_sunShadowScale", - "Sun shadow scale optimization", - generate_hash("sm_sunShadowScale") - }, - { - "sm_sunShadowScaleLocked", - "Lock usage of sm_sunShadowScale at 1", - generate_hash("sm_sunShadowScaleLocked") - }, - { - "sm_usedSunCascadeCount", - "How many shadow cascade we are using", - generate_hash("sm_usedSunCascadeCount") - }, - { - "snd_allowHeadphoneHRTF", - "Enable HRTF over headphones", - generate_hash("snd_allowHeadphoneHRTF") - }, - { - "snd_announcerDisabled", - "Disable all in-game announcers", - generate_hash("snd_announcerDisabled") - }, - { - "snd_announcerVoicePrefix", - "Local mp announcer voice to use", - generate_hash("snd_announcerVoicePrefix") - }, - { - "snd_battlechatterDisabled", - "Disable all in-game battle chatter", - generate_hash("snd_battlechatterDisabled") - }, - { - "snd_cinematicVolumeScale", - "Scales the volume of Bink videos.", - generate_hash("snd_cinematicVolumeScale") - }, - { - "snd_detectedSpeakerConfig", - "speaker configuration:\n0: autodetect\n1: mono\n2: stereo\n4: quadrophonic\n6: 5.1 surround\n8: 7.1 surround", - generate_hash("snd_detectedSpeakerConfig") - }, - { - "snd_dopplerAuditionEnable", - "Enables doppler calculation preview mode", - generate_hash("snd_dopplerAuditionEnable") - }, - { - "snd_dopplerBaseSpeedOfSound", - "The base speed of sound used in doppler calculation", - generate_hash("snd_dopplerBaseSpeedOfSound") - }, - { - "snd_dopplerEnable", - "Enables doppler calculation", - generate_hash("snd_dopplerEnable") - }, - { - "snd_dopplerPitchMax", - "Maximum pitch that can be legally applied by doppler", - generate_hash("snd_dopplerPitchMax") - }, - { - "snd_dopplerPitchMin", - "Minimum pitch that can be legally applied by doppler", - generate_hash("snd_dopplerPitchMin") - }, - { - "snd_dopplerPlayerVelocityScale", - "The scale of the player velocity, relative the the sound source velocity, when applied to the doppler calculation", - generate_hash("snd_dopplerPlayerVelocityScale") - }, - { - "snd_dopplerSmoothing", - "Smoothing factor applied to doppler to eliminate jitter or sudden acceleration changes", - generate_hash("snd_dopplerSmoothing") - }, - { - "snd_draw3D", - "Draw the position and info of world sounds", - generate_hash("snd_draw3D") - }, - { - "snd_drawInfo", - "Draw debugging information for sounds", - generate_hash("snd_drawInfo") - }, - { - "snd_enable2D", - "Enable 2D sounds", - generate_hash("snd_enable2D") - }, - { - "snd_enable3D", - "Enable 3D sounds", - generate_hash("snd_enable3D") - }, - { - "snd_enableEq", - "Enable equalization filter", - generate_hash("snd_enableEq") - }, - { - "snd_enableReverb", - "Enable sound reverberation", - generate_hash("snd_enableReverb") - }, - { - "snd_enableStream", - "Enable streamed sounds", - generate_hash("snd_enableStream") - }, - { - "snd_envFollowerBuffScale", - "Amount of buffer to use for envelope follower. Smaller value indicates faster envelope.", - generate_hash("snd_envFollowerBuffScale") - }, - { - "snd_errorOnMissing", - "Cause a Com_Error if a sound file is missing.", - generate_hash("snd_errorOnMissing") - }, - { - "snd_hitsoundDisabled", - "Disable the hit indicator sound", - generate_hash("snd_hitsoundDisabled") - }, - { - "snd_inheritSecondaryPitchVol", - "Set to true for secondary aliases to inherit the pitch of the parent", - generate_hash("snd_inheritSecondaryPitchVol") - }, - { - "snd_levelFadeTime", - "The amout of time in milliseconds for all audio to fade in at the start of a level", - generate_hash("snd_levelFadeTime") - }, - { - "snd_loadFadeTime", - "Fade time for loading from a checkpoint after death.", - generate_hash("snd_loadFadeTime") - }, - { - "snd_loopFadeTime", - "Fade-in time for looping sounds.", - generate_hash("snd_loopFadeTime") - }, - { - "snd_musicDisabled", - "Disable all in-game music", - generate_hash("snd_musicDisabled") - }, - { - "snd_musicDisabledForCustomSoundtrack", - "Disable all in-game music due to user playing a custom soundtrack", - generate_hash("snd_musicDisabledForCustomSoundtrack") - }, - { - "snd_occlusionDelay", - "Minimum delay in (ms) between occlusion updates", - generate_hash("snd_occlusionDelay") - }, - { - "snd_occlusionLerpTime", - "Time to lerp to target occlusion lerp when occluded", - generate_hash("snd_occlusionLerpTime") - }, - { - "snd_peakLimiterCompression", - "Peak limiter compression factor. The output data is scaled by this and then normalized: F < 1 = disabled; F >= 1 enabled.", - generate_hash("snd_peakLimiterCompression") - }, - { - "snd_peakLimiterDecay", - "Peak limiter compression decay ratio.", - generate_hash("snd_peakLimiterDecay") - }, - { - "snd_peakLimiterSustainFrames", - "Number of frames to sustain the limiter peak. 1 frame = 10 msec.", - generate_hash("snd_peakLimiterSustainFrames") - }, - { - "snd_premixVolume", - "Game sound pre-mix volume", - generate_hash("snd_premixVolume") - }, - { - "snd_reverbZoneOutsideFactor", - "When a 3d sound is played in a different reverb zone than the player, this factor will be applied to its wet level.", - generate_hash("snd_reverbZoneOutsideFactor") - }, - { - "snd_slaveFadeTime", - "The amount of time in milliseconds for a 'slave' sound\nto fade its volumes when a master sound starts or stops", - generate_hash("snd_slaveFadeTime") - }, - { - "snd_speakerConfig", - "speaker configuration:\n0: autodetect\n1: mono\n2: stereo\n4: quadrophonic\n6: 5.1 surround\n8: 7.1 surround", - generate_hash("snd_speakerConfig") - }, - { - "snd_touchStreamFilesOnLoad", - "Check whether stream sound files exist while loading", - generate_hash("snd_touchStreamFilesOnLoad") - }, - { - "snd_useOldPanning", - "Use old and busted panning", - generate_hash("snd_useOldPanning") - }, - { - "snd_virtualChannelInfo", - "Display virtual voice info.", - generate_hash("snd_virtualChannelInfo") - }, - { - "snd_virtualMinDur", - "The minimum duration (in seconds) of a sound if it is to be added to the virtual voice buffer.", - generate_hash("snd_virtualMinDur") - }, - { - "snd_virtualMinPri", - "The minimum priority of an alias if it is to be added to the virtual voice buffer.", - generate_hash("snd_virtualMinPri") - }, - { - "snd_virtualMinTimeLeftToRevive", - "The minimum time (in ms) left in a sample in order to attempt to revive it.", - generate_hash("snd_virtualMinTimeLeftToRevive") - }, - { - "snd_virtualReviveVoices", - "Whether or not to restore virtual voices.", - generate_hash("snd_virtualReviveVoices") - }, - { - "snd_virtualWaitToReviveTime", - "The minimum time (in ms) to wait before trying to revive the voice.", - generate_hash("snd_virtualWaitToReviveTime") - }, - { - "snd_volume", - "Game sound master volume", - generate_hash("snd_volume") - }, - { - "speech_active", - "Are we allowed to enable Speech or not", - generate_hash("speech_active") - }, - { - "splitscreen", - "Current game is a splitscreen game", - generate_hash("splitscreen") - }, - { - "steam_ingame_p2p_throttle", - "Time, in MS, to wait between P2P packet lookups when in-game", - generate_hash("steam_ingame_p2p_throttle") - }, - { - "stringtable_debug", - "spam debug info for stringtable lookups", - generate_hash("stringtable_debug") - }, - { - "sv_allowClientConsole", - "Allow remote clients to access the console", - generate_hash("sv_allowClientConsole") - }, - { - "sv_allowedClan1", - "", - generate_hash("sv_allowedClan1") - }, - { - "sv_allowedClan2", - "", - generate_hash("sv_allowedClan2") - }, - { - "sv_archiveClientsPositions", - "Archive the client positions to speed up SV_GetClientPositionsAtTime", - generate_hash("sv_archiveClientsPositions") - }, - { - "sv_checkMinPlayers", - "Check min players. 0 disables", - generate_hash("sv_checkMinPlayers") - }, - { - "sv_clientArchive", - "Have the clients archive data to save bandwidth on the server", - generate_hash("sv_clientArchive") - }, - { - "sv_connectTimeout", - "seconds without any message when a client is loading", - generate_hash("sv_connectTimeout") - }, - { - "sv_cumulThinkTime", - "Max client think per server 50 msec frame", - generate_hash("sv_cumulThinkTime") - }, - { - "sv_error_on_baseline_failure", - "Throw an error if the const baseline data is invalid.", - generate_hash("sv_error_on_baseline_failure") - }, - { - "sv_exponentialBackoffAfterNonAckedMsgs", - "start exponential backoff on msg frequency if the client has not acked the last X messages", - generate_hash("sv_exponentialBackoffAfterNonAckedMsgs") - }, - { - "sv_hostname", - "Host name of the server", - generate_hash("sv_hostname") - }, - { - "sv_hugeSnapshotDelay", - "How long to wait before building a new snapshot after a 'huge' snapshot is sent", - generate_hash("sv_hugeSnapshotDelay") - }, - { - "sv_hugeSnapshotSize", - "Size of a snapshot to be considered 'huge'", - generate_hash("sv_hugeSnapshotSize") - }, - { - "sv_kickBanTime", - "Time in seconds for a player to be banned from the server after being kicked", - generate_hash("sv_kickBanTime") - }, - { - "sv_local_client_snapshot_msec", - "Local client snapshot rate, add to cl_penaltyTime", - generate_hash("sv_local_client_snapshot_msec") - }, - { - "sv_maxclients", - "The maximum number of clients that can connect to a server", - generate_hash("sv_maxclients") - }, - { - "sv_minPingClamp", - "Clamp the minimum ping to this value", - generate_hash("sv_minPingClamp") - }, - { - "sv_network_fps", - "Number of times per second the server checks for net messages", - generate_hash("sv_network_fps") - }, - { - "sv_numExpBackoffBeforeReleasingCachedSnapshots", - "if a client is under an exponential backoff over this dvar, then we will release all the cached snapshot data he owns and will send him a baseline if he reconnects", - generate_hash("sv_numExpBackoffBeforeReleasingCachedSnapshots") - }, - { - "sv_paused", - "Pause the server", - generate_hash("sv_paused") - }, - { - "sv_privateClients", - "Maximum number of private clients allowed on the server", - generate_hash("sv_privateClients") - }, - { - "sv_privateClientsForClients", - "The # of private clients (we send this to clients)", - generate_hash("sv_privateClientsForClients") - }, - { - "sv_privatePassword", - "password for the privateClient slots", - generate_hash("sv_privatePassword") - }, - { - "sv_reconnectlimit", - "minimum seconds between connect messages", - generate_hash("sv_reconnectlimit") - }, - { - "sv_rejoinTimeout", - "seconds without any message before allowing a rejoin", - generate_hash("sv_rejoinTimeout") - }, - { - "sv_remote_client_snapshot_joiningstate_msec", - "Remote client snapshot rate during join (until the client acked his first delta message)", - generate_hash("sv_remote_client_snapshot_joiningstate_msec") - }, - { - "sv_remote_client_snapshot_msec", - "Remote client snapshot rate, add to cl_penaltyTime", - generate_hash("sv_remote_client_snapshot_msec") - }, - { - "sv_resetOnSpawn", - "Have clients reset some player state fields when spawning rather than sending them over the network", - generate_hash("sv_resetOnSpawn") - }, - { - "sv_running", - "Server is running", - generate_hash("sv_running") - }, - { - "sv_sayName", - "", - generate_hash("sv_sayName") - }, - { - "sv_showAverageBPS", - "Show average bytes per second for net debugging", - generate_hash("sv_showAverageBPS") - }, - { - "sv_testValue", - "Max antilag rewind", - generate_hash("sv_testValue") - }, - { - "sv_timeout", - "seconds without any message", - generate_hash("sv_timeout") - }, - { - "sv_trackFrameMsecThreshold", - "server frame time that will trigger script time tracking.", - generate_hash("sv_trackFrameMsecThreshold") - }, - { - "sv_useExtraCompress", - "Use zlib compress for gamestate/baseline/score packets", - generate_hash("sv_useExtraCompress") - }, - { - "sv_zlib_threshold", - "Message size threshold which triggers more aggressive compression", - generate_hash("sv_zlib_threshold") - }, - { - "sv_zombietime", - "seconds to sync messages after disconnect", - generate_hash("sv_zombietime") - }, - { - "svwp", - "playerdata server write protection: 0 = disable, 1 = silent, 2 = kick", - generate_hash("svwp") - }, - { - "syncTimeTimeout", - "default timeout for sync time task (in seconds)", - generate_hash("syncTimeTimeout") - }, - { - "sys_configSum", - "Configuration checksum", - generate_hash("sys_configSum") - }, - { - "sys_configureGHz", - "Normalized total CPU power, based on cpu type, count, and speed; used in autoconfigure", - generate_hash("sys_configureGHz") - }, - { - "sys_cpuGHz", - "Measured CPU speed", - generate_hash("sys_cpuGHz") - }, - { - "sys_cpuName", - "CPU name description", - generate_hash("sys_cpuName") - }, - { - "sys_gpu", - "GPU description", - generate_hash("sys_gpu") - }, - { - "sys_lockThreads", - "Prevents specified threads from changing CPUs; improves profiling and may fix some bugs, but can hurt performance", - generate_hash("sys_lockThreads") - }, - { - "sys_quitMigrateTime", - "Time in msec to wait for host migration when user closes the window", - generate_hash("sys_quitMigrateTime") - }, - { - "sys_smp_allowed", - "Allow multi-threading", - generate_hash("sys_smp_allowed") - }, - { - "sys_SSE", - "Operating system allows Streaming SIMD Extensions", - generate_hash("sys_SSE") - }, - { - "sys_sysMB", - "Physical memory in the system", - generate_hash("sys_sysMB") - }, - { - "systemlink", - "Current game is a system link game", - generate_hash("systemlink") - }, - { - "systemlink_host", - "Local client is hosting system link game", - generate_hash("systemlink_host") - }, - { - "tb_report", - "tb event record", - generate_hash("tb_report") - }, - { - "team_rebalance", - "rebalance", - generate_hash("team_rebalance") - }, - { - "teambalance_option", - "Selects active teambalance algorithm. 0 = heuristic 1 = exhaustive", - generate_hash("teambalance_option") - }, - { - "theater_active", - "Are we allowed to show theater or not.", - generate_hash("theater_active") - }, - { - "thermal_playerModel", - "Model to draw for players when in thermal vision mode", - generate_hash("thermal_playerModel") - }, - { - "thermalBlurFactorNoScope", - "Amount of blur to use when drawing blur through a weapon's thermal scope.", - generate_hash("thermalBlurFactorNoScope") - }, - { - "thermalBlurFactorScope", - "Amount of blur to use when drawing blur through a weapon's thermal scope.", - generate_hash("thermalBlurFactorScope") - }, - { - "timescale", - "Set the game speed.", - generate_hash("timescale") - }, - { - "tokensEnabled", - "Is token economy enabled", - generate_hash("tokensEnabled") - }, - { - "tracer_explosiveColor1", - "The 1st color of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveColor1") - }, - { - "tracer_explosiveColor2", - "The 2nd color of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveColor2") - }, - { - "tracer_explosiveColor3", - "The 3rd color of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveColor3") - }, - { - "tracer_explosiveColor4", - "The 4th color of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveColor4") - }, - { - "tracer_explosiveColor5", - "The 5th color of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveColor5") - }, - { - "tracer_explosiveOverride", - "When turned on, will apply an override to the tracer settings when shooting explosive bullets.", - generate_hash("tracer_explosiveOverride") - }, - { - "tracer_explosiveWidth", - "The width of a bullet tracer when using explosive bullets", - generate_hash("tracer_explosiveWidth") - }, - { - "tracer_firstPersonMaxWidth", - "The maximum width our OWN tracers can be when looking through our ADS", - generate_hash("tracer_firstPersonMaxWidth") - }, - { - "tracer_stoppingPowerColor1", - "The 1st color of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerColor1") - }, - { - "tracer_stoppingPowerColor2", - "The 2nd color of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerColor2") - }, - { - "tracer_stoppingPowerColor3", - "The 3rd color of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerColor3") - }, - { - "tracer_stoppingPowerColor4", - "The 4th color of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerColor4") - }, - { - "tracer_stoppingPowerColor5", - "The 5th color of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerColor5") - }, - { - "tracer_stoppingPowerOverride", - "When turned on, will apply an override to the tracer settings when shooting explosive bullets.", - generate_hash("tracer_stoppingPowerOverride") - }, - { - "tracer_stoppingPowerWidth", - "The width of a bullet tracer when using explosive bullets", - generate_hash("tracer_stoppingPowerWidth") - }, - { - "tracer_thermalWidthMult", - "The multiplier applied to the base width when viewed in thermal vision", - generate_hash("tracer_thermalWidthMult") - }, - { - "transients_verbose", - "Verbose logging information for transient fastfiles.", - generate_hash("transients_verbose") - }, - { - "triggerDLCEnumerationOnSocialConfigLoad", - "Triggers a new DLC enumeration after social config has loaded.", - generate_hash("triggerDLCEnumerationOnSocialConfigLoad") - }, - { - "ui_allow_controlschange", - "", - generate_hash("ui_allow_controlschange") - }, - { - "ui_allow_teamchange", - "", - generate_hash("ui_allow_teamchange") - }, - { - "ui_autodetectGamepad", - "undefined", - generate_hash("ui_autodetectGamepad") - }, - { - "ui_autodetectGamepadDone", - "undefined", - generate_hash("ui_autodetectGamepadDone") - }, - { - "ui_bigFont", - "Big font scale", - generate_hash("ui_bigFont") - }, - { - "ui_blurAmount", - "Max amount to blur background menu items.", - generate_hash("ui_blurAmount") - }, - { - "ui_blurDarkenAmount", - "Amount to darken blurred UI.", - generate_hash("ui_blurDarkenAmount") - }, - { - "ui_blurTime", - "Time in milliseconds to fade in/out the blur.", - generate_hash("ui_blurTime") - }, - { - "ui_borderLowLightScale", - "Scales the border color for the lowlight color on certain UI borders", - generate_hash("ui_borderLowLightScale") - }, - { - "ui_browserFriendlyfire", - "Friendly fire is active", - generate_hash("ui_browserFriendlyfire") - }, - { - "ui_browserKillcam", - "Kill cam is active", - generate_hash("ui_browserKillcam") - }, - { - "ui_browserMod", - "UI Mod value", - generate_hash("ui_browserMod") - }, - { - "ui_browserShowDedicated", - "Show dedicated servers only", - generate_hash("ui_browserShowDedicated") - }, - { - "ui_browserShowEmpty", - "Show empty servers", - generate_hash("ui_browserShowEmpty") - }, - { - "ui_browserShowFull", - "Show full servers", - generate_hash("ui_browserShowFull") - }, - { - "ui_browserShowPassword", - "Show servers that are password protected", - generate_hash("ui_browserShowPassword") - }, - { - "ui_browserShowPure", - "Show pure servers only", - generate_hash("ui_browserShowPure") - }, - { - "ui_buildLocation", - "Where to draw the build number", - generate_hash("ui_buildLocation") - }, - { - "ui_buildSize", - "Font size to use for the build number", - generate_hash("ui_buildSize") - }, - { - "ui_challenge_1_ref", - "", - generate_hash("ui_challenge_1_ref") - }, - { - "ui_challenge_2_ref", - "", - generate_hash("ui_challenge_2_ref") - }, - { - "ui_challenge_3_ref", - "", - generate_hash("ui_challenge_3_ref") - }, - { - "ui_challenge_4_ref", - "", - generate_hash("ui_challenge_4_ref") - }, - { - "ui_challenge_5_ref", - "", - generate_hash("ui_challenge_5_ref") - }, - { - "ui_challenge_6_ref", - "", - generate_hash("ui_challenge_6_ref") - }, - { - "ui_challenge_7_ref", - "", - generate_hash("ui_challenge_7_ref") - }, - { - "ui_changeclass_menu_open", - "", - generate_hash("ui_changeclass_menu_open") - }, - { - "ui_changeteam_menu_open", - "", - generate_hash("ui_changeteam_menu_open") - }, - { - "ui_cinematicsTimestamp", - "Shows cinematics timestamp on subtitle UI elements.", - generate_hash("ui_cinematicsTimestamp") - }, - { - "ui_class_menu_open", - "", - generate_hash("ui_class_menu_open") - }, - { - "ui_connectScreenTextGlowColor", - "Glow color applied to the mode and map name strings on the connect screen.", - generate_hash("ui_connectScreenTextGlowColor") - }, - { - "ui_contextualMenuLocation", - "Contextual menu location from where you entered the store.", - generate_hash("ui_contextualMenuLocation") - }, - { - "ui_controls_menu_open", - "", - generate_hash("ui_controls_menu_open") - }, - { - "ui_currentFeederMapIndex", - "Currently selected map", - generate_hash("ui_currentFeederMapIndex") - }, - { - "ui_currentMap", - "Current map index", - generate_hash("ui_currentMap") - }, - { - "ui_customClassName", - "Custom Class name", - generate_hash("ui_customClassName") - }, - { - "ui_customModeEditName", - "Name to give the currently edited custom game mode when editing is complete", - generate_hash("ui_customModeEditName") - }, - { - "ui_customModeName", - "Custom game mode name", - generate_hash("ui_customModeName") - }, - { - "ui_danger_team", - "", - generate_hash("ui_danger_team") - }, - { - "ui_debugMode", - "Draw ui debug info on the screen.", - generate_hash("ui_debugMode") - }, - { - "ui_disableInGameStore", - "This will disable the ingame store button on the xbox live menu.", - generate_hash("ui_disableInGameStore") - }, - { - "ui_disableTokenRedemption", - "This will disable the token redemption option in the in-game store menu.", - generate_hash("ui_disableTokenRedemption") - }, - { - "ui_drawCrosshair", - "Whether to draw crosshairs.", - generate_hash("ui_drawCrosshair") - }, - { - "ui_editSquadMemberIndex", - "Which squad member is currently being edited", - generate_hash("ui_editSquadMemberIndex") - }, - { - "ui_extraBigFont", - "Extra big font scale", - generate_hash("ui_extraBigFont") - }, - { - "ui_game_state", - "", - generate_hash("ui_game_state") - }, - { - "ui_gametype", - "Current game type", - generate_hash("ui_gametype") - }, - { - "ui_halftime", - "", - generate_hash("ui_halftime") - }, - { - "ui_hitloc_0", - "", - generate_hash("ui_hitloc_0") - }, - { - "ui_hitloc_1", - "", - generate_hash("ui_hitloc_1") - }, - { - "ui_hitloc_2", - "", - generate_hash("ui_hitloc_2") - }, - { - "ui_hitloc_3", - "", - generate_hash("ui_hitloc_3") - }, - { - "ui_hitloc_4", - "", - generate_hash("ui_hitloc_4") - }, - { - "ui_hitloc_5", - "", - generate_hash("ui_hitloc_5") - }, - { - "ui_hitloc_damage_0", - "", - generate_hash("ui_hitloc_damage_0") - }, - { - "ui_hitloc_damage_1", - "", - generate_hash("ui_hitloc_damage_1") - }, - { - "ui_hitloc_damage_2", - "", - generate_hash("ui_hitloc_damage_2") - }, - { - "ui_hitloc_damage_3", - "", - generate_hash("ui_hitloc_damage_3") - }, - { - "ui_hitloc_damage_4", - "", - generate_hash("ui_hitloc_damage_4") - }, - { - "ui_hitloc_damage_5", - "", - generate_hash("ui_hitloc_damage_5") - }, - { - "ui_hud_hardcore", - "Whether the HUD should be suppressed for hardcore mode", - generate_hash("ui_hud_hardcore") - }, - { - "ui_hud_obituaries", - "", - generate_hash("ui_hud_obituaries") - }, - { - "ui_inactiveBaseColor", - "The local player's rank/stats font color when shown in lobbies and parties", - generate_hash("ui_inactiveBaseColor") - }, - { - "ui_inactivePartyColor", - "", - generate_hash("ui_inactivePartyColor") - }, - { - "ui_inGameStoreOpen", - "is the InGameStore open", - generate_hash("ui_inGameStoreOpen") - }, - { - "ui_inhostmigration", - "", - generate_hash("ui_inhostmigration") - }, - { - "ui_joinGametype", - "Game join type", - generate_hash("ui_joinGametype") - }, - { - "ui_loadMenuName", - "Frontend menu will start on this level instead of lockout", - generate_hash("ui_loadMenuName") - }, - { - "ui_mapname", - "Current map name", - generate_hash("ui_mapname") - }, - { - "ui_mapvote_entrya_gametype", - "Primary map vote entry game type", - generate_hash("ui_mapvote_entrya_gametype") - }, - { - "ui_mapvote_entrya_mapname", - "Primary map vote entry map name", - generate_hash("ui_mapvote_entrya_mapname") - }, - { - "ui_mapvote_entryb_gametype", - "Secondary map vote entry game type", - generate_hash("ui_mapvote_entryb_gametype") - }, - { - "ui_mapvote_entryb_mapname", - "Secondary map vote entry map name", - generate_hash("ui_mapvote_entryb_mapname") - }, - { - "ui_maxclients", - "undefined", - generate_hash("ui_maxclients") - }, - { - "ui_missingMapName", - "Name of map to show in missing content error", - generate_hash("ui_missingMapName") - }, - { - "ui_mousePitch", - "", - generate_hash("ui_mousePitch") - }, - { - "ui_multiplayer", - "True if the game is multiplayer", - generate_hash("ui_multiplayer") - }, - { - "ui_myPartyColor", - "Player name font color when in the same party as the local player", - generate_hash("ui_myPartyColor") - }, - { - "ui_netGametype", - "Game type", - generate_hash("ui_netGametype") - }, - { - "ui_netGametypeName", - "Displayed game type name", - generate_hash("ui_netGametypeName") - }, - { - "ui_netSource", - "The network source where:\n 0:Local\n 1:Internet\n 2:Favourites", - generate_hash("ui_netSource") - }, - { - "ui_onlineRequired", - "UI requires online connection to be present.", - generate_hash("ui_onlineRequired") - }, - { - "ui_opensummary", - "", - generate_hash("ui_opensummary") - }, - { - "ui_override_halftime", - "", - generate_hash("ui_override_halftime") - }, - { - "ui_partyFull", - "True if the current party is full.", - generate_hash("ui_partyFull") - }, - { - "ui_playerPartyColor", - "", - generate_hash("ui_playerPartyColor") - }, - { - "ui_playlistActionButtonAlpha", - "The current alpha of the playlist selection button", - generate_hash("ui_playlistActionButtonAlpha") - }, - { - "ui_playlistCategoryDisabledColor", - "The color of playlist categories when disabled", - generate_hash("ui_playlistCategoryDisabledColor") - }, - { - "ui_playlistCategoryEnabledColor", - "The color of playlist categories when enabled", - generate_hash("ui_playlistCategoryEnabledColor") - }, - { - "ui_promotion", - "", - generate_hash("ui_promotion") - }, - { - "ui_remoteTankUseTime", - "", - generate_hash("ui_remoteTankUseTime") - }, - { - "ui_scorelimit", - "", - generate_hash("ui_scorelimit") - }, - { - "ui_selectedFeederMap", - "Current preview game type", - generate_hash("ui_selectedFeederMap") - }, - { - "ui_serverStatusTimeOut", - "Time in milliseconds before a server status request times out", - generate_hash("ui_serverStatusTimeOut") - }, - { - "ui_show_store", - "Use to enable the store button", - generate_hash("ui_show_store") - }, - { - "ui_showDLCMaps", - "Whether to display the DLC maps.", - generate_hash("ui_showDLCMaps") - }, - { - "ui_showInfo", - "", - generate_hash("ui_showInfo") - }, - { - "ui_showList", - "Show onscreen list of currently visible menus", - generate_hash("ui_showList") - }, - { - "ui_showmap", - "", - generate_hash("ui_showmap") - }, - { - "ui_showMenuOnly", - "If set, only menus using this name will draw.", - generate_hash("ui_showMenuOnly") - }, - { - "ui_showMinimap", - "", - generate_hash("ui_showMinimap") - }, - { - "ui_sliderSteps", - "The number of steps for a slider itemdef", - generate_hash("ui_sliderSteps") - }, - { - "ui_smallFont", - "Small font scale", - generate_hash("ui_smallFont") - }, - { - "ui_textScrollFadeTime", - "Text scrolling takes this long (seconds) to fade out at the end before restarting", - generate_hash("ui_textScrollFadeTime") - }, - { - "ui_textScrollPauseEnd", - "Text scrolling waits this long (seconds) before starting", - generate_hash("ui_textScrollPauseEnd") - }, - { - "ui_textScrollPauseStart", - "Text scrolling waits this long (seconds) before starting", - generate_hash("ui_textScrollPauseStart") - }, - { - "ui_textScrollSpeed", - "Speed at which text scrolls vertically", - generate_hash("ui_textScrollSpeed") - }, - { - "ui_timelimit", - "", - generate_hash("ui_timelimit") - }, - { - "uiscript_debug", - "spam debug info for the ui script", - generate_hash("uiscript_debug") - }, - { - "unlock_breadcrumb_killswitch", - "True to enable unlock breadcrumbs", - generate_hash("unlock_breadcrumb_killswitch") - }, - { - "uno_current_tos_version", - "Current Uno Terms of Service Version", - generate_hash("uno_current_tos_version") - }, - { - "use_filtered_query_pass", - "Dictates whether to use the filtered query for MMing or not", - generate_hash("use_filtered_query_pass") - }, - { - "use_weighted_dlc_exactmatch_pass", - "Dictates whether to use a search weighted pass with the DLC match set to exact for MMing or not", - generate_hash("use_weighted_dlc_exactmatch_pass") - }, - { - "use_weighted_pass", - "Dictates whether to use the search weighted pass for MMing or not", - generate_hash("use_weighted_pass") - }, - { - "useCPMarkerForCPOwnership", - "If set, we will check the player inventory to see if he owns the redeemedItem for a contentPack if this contentPack is not available for the player", - generate_hash("useCPMarkerForCPOwnership") - }, - { - "useonlinestats", - "Whether to use online stats when in offline modes", - generate_hash("useonlinestats") - }, - { - "useRelativeTeamColors", - "Whether to use relative team colors.", - generate_hash("useRelativeTeamColors") - }, - { - "userFileFetchTimeout", - "default timeout for user files FETCH tasks (in seconds)", - generate_hash("userFileFetchTimeout") - }, - { - "userGroup_active", - "Are we allowed to show Usergroups or not", - generate_hash("userGroup_active") - }, - { - "userGroup_cool_off_time", - "Cool off time between calls to fetch the elite clan", - generate_hash("userGroup_cool_off_time") - }, - { - "userGroup_coop_delay", - "Delay between a player joining a coop lobby and the DW user group task starting", - generate_hash("userGroup_coop_delay") - }, - { - "userGroup_max_retry_time", - "Max time that the usergroup read find can retry", - generate_hash("userGroup_max_retry_time") - }, - { - "userGroup_refresh_time_secs", - "Time in seconds between re-sending lobby group data to confirmed users.", - generate_hash("userGroup_refresh_time_secs") - }, - { - "userGroup_retry_step", - "Step in m/s for the usegroup read retry", - generate_hash("userGroup_retry_step") - }, - { - "userGroup_RetryTime", - "Time in ms between sending lobby group data retrys.", - generate_hash("userGroup_RetryTime") - }, - { - "useStatsGroups", - "If true then StatsGroups are in use for all playerdata.ddl accessing.", - generate_hash("useStatsGroups") - }, - { - "useTagFlashSilenced", - "When true, silenced weapons will use \"tag_flash_silenced\" instead of \"tag_flash\".", - generate_hash("useTagFlashSilenced") - }, - { - "using_mlg", - "MLG feature on/off", - generate_hash("using_mlg") - }, - { - "validate_apply_clamps", - "True if individual stat validation failure reverts the value", - generate_hash("validate_apply_clamps") - }, - { - "validate_apply_revert", - "True if individual stat validation failure reverts the value", - generate_hash("validate_apply_revert") - }, - { - "validate_apply_revert_full", - "True if any individual stat validation failure causes a full stats revert", - generate_hash("validate_apply_revert_full") - }, - { - "validate_clamp_assists", - "The maximum number of assists a player can make in a match", - generate_hash("validate_clamp_assists") - }, - { - "validate_clamp_experience", - "The maximum experience a player can gain in a match", - generate_hash("validate_clamp_experience") - }, - { - "validate_clamp_headshots", - "The maximum number of headshots a player can make in a match", - generate_hash("validate_clamp_headshots") - }, - { - "validate_clamp_hits", - "The maximum number of hits player can make in a match", - generate_hash("validate_clamp_hits") - }, - { - "validate_clamp_kills", - "The maximum number of kills a player can make in a match", - generate_hash("validate_clamp_kills") - }, - { - "validate_clamp_losses", - "The maximum number of losses a player can make in a match", - generate_hash("validate_clamp_losses") - }, - { - "validate_clamp_misses", - "The maximum number of misses player can make in a match", - generate_hash("validate_clamp_misses") - }, - { - "validate_clamp_ties", - "The maximum number of ties a player can make in a match", - generate_hash("validate_clamp_ties") - }, - { - "validate_clamp_totalshots", - "The maximum number of totalshots player can make in a match", - generate_hash("validate_clamp_totalshots") - }, - { - "validate_clamp_weaponXP", - "The maximum experience a weapon can gain in a match", - generate_hash("validate_clamp_weaponXP") - }, - { - "validate_clamp_wins", - "The maximum number of wins a player can make in a match", - generate_hash("validate_clamp_wins") - }, - { - "validate_drop_on_fail", - "True if stats validation failure results in dropping from the match", - generate_hash("validate_drop_on_fail") - }, - { - "veh_aiOverSteerScale", - "Scaler used to cause ai vehicles to over steer", - generate_hash("veh_aiOverSteerScale") - }, - { - "veh_boneControllerLodDist", - "Distance at which bone controllers are not updated.", - generate_hash("veh_boneControllerLodDist") - }, - { - "veh_boneControllerUnLodDist", - "Distance at which bone controllers start updating when not moving.", - generate_hash("veh_boneControllerUnLodDist") - }, - { - "vehAudio_inAirPitchDownLerp", - "Rate at which the pitch lerps down", - generate_hash("vehAudio_inAirPitchDownLerp") - }, - { - "vehAudio_inAirPitchUpLerp", - "Rate at which the pitch lerps up", - generate_hash("vehAudio_inAirPitchUpLerp") - }, - { - "vehAudio_spawnVolumeTime", - "Seconds it takes for spawned vehicles to reach full volume.", - generate_hash("vehAudio_spawnVolumeTime") - }, - { - "vehCam_freeLook", - "Enables free look mode", - generate_hash("vehCam_freeLook") - }, - { - "vehCam_mode", - "Camera modes: 1st person, 3rd person, or both", - generate_hash("vehCam_mode") - }, - { - "vehDroneDebugDrawPath", - "Debug render the drone draw paths.", - generate_hash("vehDroneDebugDrawPath") - }, - { - "vehHelicopterBoundsRadius", - "The radius of the collision volume to be used when colliding with world geometry.", - generate_hash("vehHelicopterBoundsRadius") - }, - { - "vehHelicopterDecelerationFwd", - "Set the deceleration of the player helicopter (as a fraction of acceleration) in the direction the chopper is facing. So 1.0 makes it equal to the acceleration.", - generate_hash("vehHelicopterDecelerationFwd") - }, - { - "vehHelicopterDecelerationSide", - "Set the side-to-side deceleration of the player helicopter (as a fraction of acceleration). So 1.0 makes it equal to the acceleration.", - generate_hash("vehHelicopterDecelerationSide") - }, - { - "vehHelicopterDecelerationUp", - "Set the vertical deceleration of the player helicopter (as a fraction of acceleration). So 1.0 makes it equal to the acceleration.", - generate_hash("vehHelicopterDecelerationUp") - }, - { - "vehHelicopterHeadSwayDontSwayTheTurret", - "If set, the turret will not fire through the crosshairs, but straight ahead of the vehicle, when the player is not freelooking.", - generate_hash("vehHelicopterHeadSwayDontSwayTheTurret") - }, - { - "vehHelicopterHoverSpeedThreshold", - "The speed below which the player helicopter begins to jitter the tilt, for hovering", - generate_hash("vehHelicopterHoverSpeedThreshold") - }, - { - "vehHelicopterInvertUpDown", - "Invert the altitude control on the player helicopter.", - generate_hash("vehHelicopterInvertUpDown") - }, - { - "vehHelicopterJitterJerkyness", - "Specifies how jerky the tilt jitter should be", - generate_hash("vehHelicopterJitterJerkyness") - }, - { - "vehHelicopterLookaheadTime", - "How far ahead (in seconds) the player helicopter looks ahead, to avoid hard collisions. (Like driving down the highway, you should keep 2 seconds distance between you and the vehicle in front of you)", - generate_hash("vehHelicopterLookaheadTime") - }, - { - "vehHelicopterMaxAccel", - "Maximum horizontal acceleration of the player helicopter (in MPH per second)", - generate_hash("vehHelicopterMaxAccel") - }, - { - "vehHelicopterMaxAccelVertical", - "Maximum vertical acceleration of the player helicopter (in MPH per second)", - generate_hash("vehHelicopterMaxAccelVertical") - }, - { - "vehHelicopterMaxPitch", - "Maximum pitch of the player helicopter", - generate_hash("vehHelicopterMaxPitch") - }, - { - "vehHelicopterMaxRoll", - "Maximum roll of the player helicopter", - generate_hash("vehHelicopterMaxRoll") - }, - { - "vehHelicopterMaxSpeed", - "Maximum horizontal speed of the player helicopter (in MPH)", - generate_hash("vehHelicopterMaxSpeed") - }, - { - "vehHelicopterMaxSpeedVertical", - "Maximum vertical speed of the player helicopter (in MPH)", - generate_hash("vehHelicopterMaxSpeedVertical") - }, - { - "vehHelicopterMaxYawAccel", - "Maximum yaw acceleration of the player helicopter", - generate_hash("vehHelicopterMaxYawAccel") - }, - { - "vehHelicopterMaxYawRate", - "Maximum yaw speed of the player helicopter", - generate_hash("vehHelicopterMaxYawRate") - }, - { - "vehHelicopterPitchOffset", - "The resting pitch of the helicopter", - generate_hash("vehHelicopterPitchOffset") - }, - { - "vehHelicopterRightStickDeadzone", - "Dead-zone for the axes of the right thumbstick. This helps to better control the two axes separately.", - generate_hash("vehHelicopterRightStickDeadzone") - }, - { - "vehHelicopterScaleMovement", - "Scales down the smaller of the left stick axes.", - generate_hash("vehHelicopterScaleMovement") - }, - { - "vehHelicopterSoftCollisions", - "Player helicopters have soft collisions (slow down before they collide).", - generate_hash("vehHelicopterSoftCollisions") - }, - { - "vehHelicopterStrafeDeadzone", - "Dead-zone so that you can fly straight forward easily without accidentally strafing (and thus rolling).", - generate_hash("vehHelicopterStrafeDeadzone") - }, - { - "vehHelicopterTiltFromAcceleration", - "The amount of tilt caused by acceleration", - generate_hash("vehHelicopterTiltFromAcceleration") - }, - { - "vehHelicopterTiltFromControllerAxes", - "The amount of tilt caused by the desired velocity (i.e., the amount of controller stick deflection)", - generate_hash("vehHelicopterTiltFromControllerAxes") - }, - { - "vehHelicopterTiltFromDeceleration", - "The amount of tilt caused by deceleration", - generate_hash("vehHelicopterTiltFromDeceleration") - }, - { - "vehHelicopterTiltFromFwdAndYaw", - "The amount of roll caused by yawing while moving forward.", - generate_hash("vehHelicopterTiltFromFwdAndYaw") - }, - { - "vehHelicopterTiltFromFwdAndYaw_VelAtMaxTilt", - "The forward speed (as a fraction of top speed) at which the tilt due to yaw reaches is maximum value.", - generate_hash("vehHelicopterTiltFromFwdAndYaw_VelAtMaxTilt") - }, - { - "vehHelicopterTiltFromVelocity", - "The amount of tilt caused by the current velocity", - generate_hash("vehHelicopterTiltFromVelocity") - }, - { - "vehHelicopterTiltMomentum", - "The amount of rotational momentum the helicopter has with regards to tilting.", - generate_hash("vehHelicopterTiltMomentum") - }, - { - "vehHelicopterTiltSpeed", - "The rate at which the player helicopter's tilt responds", - generate_hash("vehHelicopterTiltSpeed") - }, - { - "vehHelicopterYawOnLeftStick", - "The yaw speed created by the left stick when pushing the stick diagonally (e.g., moving forward and strafing slightly).", - generate_hash("vehHelicopterYawOnLeftStick") - }, - { - "vehicle_debug_render_spline_plane", - "Do we want to render the spline plane data", - generate_hash("vehicle_debug_render_spline_plane") - }, - { - "vehicle_pathsmooth", - "Smoothed vehicle pathing.", - generate_hash("vehicle_pathsmooth") - }, - { - "vehUGVPitchTrack", - "UGV body pitch orientation speed", - generate_hash("vehUGVPitchTrack") - }, - { - "vehUGVRollTrack", - "UGV body roll orientation speed", - generate_hash("vehUGVRollTrack") - }, - { - "vehUGVWheelInfluence", - "UGV wheel influence on the orientation of the body", - generate_hash("vehUGVWheelInfluence") - }, - { - "vehWalkerControlMode", - "Walker controls (0==move no turn, 1=move and turn, 2=move relative(tank))", - generate_hash("vehWalkerControlMode") - }, - { - "version", - "Game version", - generate_hash("version") - }, - { - "vid_xpos", - "Game window horizontal position", - generate_hash("vid_xpos") - }, - { - "vid_ypos", - "Game window vertical position", - generate_hash("vid_ypos") - }, - { - "viewangNow", - "", - generate_hash("viewangNow") - }, - { - "viewModelDebugNotetracks", - "Enable display of viewmodel notetrack debug info.", - generate_hash("viewModelDebugNotetracks") - }, - { - "viewModelHacks", - "Enabled depth hack and remove viewmodel from shadows.", - generate_hash("viewModelHacks") - }, - { - "viewposNow", - "", - generate_hash("viewposNow") - }, - { - "virtualLobbyActive", - "Indicates the VL is actively being displayed.", - generate_hash("virtualLobbyActive") - }, - { - "virtualLobbyAllocated", - "Indicates the first VL zone has been loaded.", - generate_hash("virtualLobbyAllocated") - }, - { - "virtualLobbyEnabled", - "VirtualLobby is enabled (must be true before loading UI zone)", - generate_hash("virtualLobbyEnabled") - }, - { - "virtualLobbyInFiringRange", - "VirtualLobby is in firing range mode", - generate_hash("virtualLobbyInFiringRange") - }, - { - "virtualLobbyMap", - "VirtualLobby map to load (must be set before starting vl)", - generate_hash("virtualLobbyMap") - }, - { - "virtualLobbyMembers", - "Number of members in the VirtualLobby (set by script)", - generate_hash("virtualLobbyMembers") - }, - { - "virtualLobbyPresentable", - "Indicates to LUA the VirtualLobby is ready to be displayed (set by script).", - generate_hash("virtualLobbyPresentable") - }, - { - "virtualLobbyReady", - "Indicates to LUA the VirtualLobby is loaded and running (set by script).", - generate_hash("virtualLobbyReady") - }, - { - "vl_clan_models_loaded", - "Indicates to LUA when all models are loaded for the clan highlights so it can begin the fade-in without any popping(set by script).", - generate_hash("vl_clan_models_loaded") - }, - { - "voMtxEnable", - "When set (e.g. via config), will enable voice over packs", - generate_hash("voMtxEnable") - }, - { - "waypointAerialIconMaxSize", - "Max size of aerial targeting waypoints.", - generate_hash("waypointAerialIconMaxSize") - }, - { - "waypointAerialIconMinSize", - "Min size of aerial targeting waypoints.", - generate_hash("waypointAerialIconMinSize") - }, - { - "waypointAerialIconScale", - "Base scale of aerial targeting waypoints.", - generate_hash("waypointAerialIconScale") - }, - { - "waypointDebugDraw", - "", - generate_hash("waypointDebugDraw") - }, - { - "waypointDistScaleRangeMax", - "Distance from player that icon distance scaling ends.", - generate_hash("waypointDistScaleRangeMax") - }, - { - "waypointDistScaleRangeMin", - "Distance from player that icon distance scaling ends.", - generate_hash("waypointDistScaleRangeMin") - }, - { - "waypointDistScaleSmallest", - "Smallest scale that the distance effect uses.", - generate_hash("waypointDistScaleSmallest") - }, - { - "waypointIconHeight", - "", - generate_hash("waypointIconHeight") - }, - { - "waypointIconWidth", - "", - generate_hash("waypointIconWidth") - }, - { - "waypointOffscreenCornerRadius", - "Size of the rounded corners.", - generate_hash("waypointOffscreenCornerRadius") - }, - { - "waypointOffscreenDistanceThresholdAlpha", - "Distance from the threshold over which offscreen objective icons lerp their alpha.", - generate_hash("waypointOffscreenDistanceThresholdAlpha") - }, - { - "waypointOffscreenPadBottom", - "", - generate_hash("waypointOffscreenPadBottom") - }, - { - "waypointOffscreenPadLeft", - "", - generate_hash("waypointOffscreenPadLeft") - }, - { - "waypointOffscreenPadRight", - "", - generate_hash("waypointOffscreenPadRight") - }, - { - "waypointOffscreenPadTop", - "", - generate_hash("waypointOffscreenPadTop") - }, - { - "waypointOffscreenPointerDistance", - "Distance from the center of the offscreen objective icon to the center its arrow.", - generate_hash("waypointOffscreenPointerDistance") - }, - { - "waypointOffscreenPointerHeight", - "", - generate_hash("waypointOffscreenPointerHeight") - }, - { - "waypointOffscreenPointerWidth", - "", - generate_hash("waypointOffscreenPointerWidth") - }, - { - "waypointOffscreenRoundedCorners", - "Off-screen icons take rounded corners when true. 90-degree corners when false.", - generate_hash("waypointOffscreenRoundedCorners") - }, - { - "waypointOffscreenScaleLength", - "How far the offscreen icon scale travels from full to smallest scale.", - generate_hash("waypointOffscreenScaleLength") - }, - { - "waypointOffscreenScaleSmallest", - "Smallest scale that the offscreen effect uses.", - generate_hash("waypointOffscreenScaleSmallest") - }, - { - "waypointPlayerOffsetCrouch", - "For waypoints pointing to players, how high to offset off of their origin when they are prone.", - generate_hash("waypointPlayerOffsetCrouch") - }, - { - "waypointPlayerOffsetProne", - "For waypoints pointing to players, how high to offset off of their origin when they are prone.", - generate_hash("waypointPlayerOffsetProne") - }, - { - "waypointPlayerOffsetStand", - "For waypoints pointing to players, how high to offset off of their origin when they are prone.", - generate_hash("waypointPlayerOffsetStand") - }, - { - "waypointScreenCenterFadeAdsMin", - "When 'waypointScreenCenterFadeRadius' enabled, minimum amount that waypoint will fade when in ads", - generate_hash("waypointScreenCenterFadeAdsMin") - }, - { - "waypointScreenCenterFadeHipMin", - "When 'waypointScreenCenterFadeRadius' enabled, minimum amount that waypoint will fade when in ads", - generate_hash("waypointScreenCenterFadeHipMin") - }, - { - "waypointScreenCenterFadeRadius", - "Radius from screen center that a waypoint will start fading out. Setting to 0 will turn this off", - generate_hash("waypointScreenCenterFadeRadius") - }, - { - "waypointSplitscreenScale", - "Scale applied to waypoint icons in splitscreen views.", - generate_hash("waypointSplitscreenScale") - }, - { - "waypointTweakY", - "", - generate_hash("waypointTweakY") - }, - { - "weap_thermoDebuffMod", - "", - generate_hash("weap_thermoDebuffMod") - }, - { - "wideScreen", - "True if the game video is running in 16x9 aspect, false if 4x3.", - generate_hash("wideScreen") - }, - { - "winvoice_loopback", - "Echo microphone input locally", - generate_hash("winvoice_loopback") - }, - { - "winvoice_mic_mute", - "Mute the microphone", - generate_hash("winvoice_mic_mute") - }, - { - "winvoice_mic_outTime", - "Microphone voice amount of silence before we cut the mic", - generate_hash("winvoice_mic_outTime") - }, - { - "winvoice_mic_reclevel", - "Microphone recording level", - generate_hash("winvoice_mic_reclevel") - }, - { - "winvoice_mic_scaler", - "Microphone scaler value", - generate_hash("winvoice_mic_scaler") - }, - { - "winvoice_mic_threshold", - "Microphone voice threshold", - generate_hash("winvoice_mic_threshold") - }, - { - "winvoice_save_voice", - "Write voice data to a file", - generate_hash("winvoice_save_voice") - }, - { - "xanim_disableIK", - "Disable inverse kinematics solvers", - generate_hash("xanim_disableIK") - }, - { - "xblive_competitionmatch", - "MLG Rules?", - generate_hash("xblive_competitionmatch") - }, - { - "xblive_hostingprivateparty", - "true only if we're hosting a party", - generate_hash("xblive_hostingprivateparty") - }, - { - "xblive_loggedin", - "User is logged into xbox live", - generate_hash("xblive_loggedin") - }, - { - "xblive_privatematch", - "Current game is a private match", - generate_hash("xblive_privatematch") - }, - { - "xblive_privatematch_solo", - "Current game is an Extinction solo match", - generate_hash("xblive_privatematch_solo") - }, - { - "xphys_maxJointPositionError", - "If a joints with position error exceeding this value is detected, then the whole xphys system gets snapped back to the animation pose", - generate_hash("xphys_maxJointPositionError") - }, - { - "aa_player_kills", - "Player kills", - generate_hash("aa_player_kills") - }, - { - "aa_player_damage_dealt", - "Player damages dealt", - generate_hash("aa_player_damage_dealt") - }, - { - "aa_ads_damage_dealt", - "Player damages dealt in ads", - generate_hash("aa_ads_damage_dealt") - }, - { - "aa_deaths", - "Player deaths", - generate_hash("aa_deaths") - }, - { - "aa_time_tracking", - "Time in game", - generate_hash("aa_time_tracking") - }, - }; + dvar_info info{}; + info.hash = hash; + info.name = name; + info.description = description; + dvar_map.insert(std::make_pair(hash, info)); + } + + void insert_dvar_info(const std::string& name, const std::string& description) + { + insert_dvar_info(generate_hash(name), name, description); + } + + std::optional get_dvar_info_from_hash(const std::int32_t hash) + { + const auto iter = dvar_map.find(hash); + if (iter != dvar_map.end()) + { + return iter->second; + } + + return {}; + } + + std::optional get_dvar_info(const std::string& name) + { + const auto hash = generate_hash(name); + return get_dvar_info_from_hash(hash); + } std::string dvar_get_description(const std::string& name) { - const auto lower = utils::string::to_lower(name); - for (std::uint32_t i = 0; i < dvar_list.size(); i++) + const auto info = get_dvar_info(name); + if (info.has_value()) { - if (utils::string::to_lower(dvar_list[i].name) == lower) - { - return dvar_list[i].description; - } + return info->description; } return {}; } - bool can_add_dvar_to_list(std::string name) - { - const auto lower = utils::string::to_lower(name); - for (std::uint32_t i = 0; i < dvar_list.size(); i++) - { - if (utils::string::to_lower(dvar_list[i].name) == lower) - { - return false; - } - } - - return true; - } - - std::optional get_dvar_info_from_hash(const int hash) - { - for (std::uint32_t i = 0; i < dvar_list.size(); i++) - { - if (dvar_list[i].hash == hash) - { - return {dvar_list[i]}; - } - } - - return {}; - } - - std::string hash_to_string(const int hash) + std::string hash_to_string(const std::int32_t hash) { return utils::string::va("0x%lX", hash); } @@ -11872,78 +233,48 @@ namespace dvars game::dvar_t* register_int(const std::string& name, int value, int min, int max, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({name, description}); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterInt(hash, "", value, min, max, flags); } game::dvar_t* register_bool(const std::string& name, bool value, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({name, description}); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterBool(hash, "", value, flags); } game::dvar_t* register_string(const std::string& name, const char* value, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({name, description}); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterString(hash, "", value, flags); } game::dvar_t* register_float(const std::string& name, float value, float min, float max, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({name, description}); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterFloat(hash, "", value, min, max, flags); } game::dvar_t* register_float_hashed(const std::string& name, float value, float min, float max, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({ name, description }); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterFloatHashed(hash, "", value, min, max, flags); } game::dvar_t* register_vec4(const std::string& name, float x, float y, float z, float w, float min, float max, unsigned int flags, const std::string& description) { - const auto hash = game::generateHashValue(name.data()); - - if (can_add_dvar_to_list(name)) - { - dvar_list.push_back({name, description}); - } - + const auto hash = generate_hash(name); + insert_dvar_info(hash, name, description); return game::Dvar_RegisterVec4(hash, "", x, y, z, w, min, max, flags); } } diff --git a/src/client/game/dvars.hpp b/src/client/game/dvars.hpp index d884877f..42f12ec9 100644 --- a/src/client/game/dvars.hpp +++ b/src/client/game/dvars.hpp @@ -10,9 +10,11 @@ namespace dvars { std::string name; std::string description; - int hash; + std::int32_t hash; }; + extern std::unordered_map dvar_map; + extern game::dvar_t* aimassist_enabled; extern game::dvar_t* con_inputBoxColor; @@ -48,12 +50,57 @@ namespace dvars extern game::dvar_t* cg_legacyCrashHandling; - extern std::vector dvar_list; + constexpr int generate_hash(const char* string) + { + const char* v1; + char v2, v6; + int v4, v5, v7; + char* end_ptr; + + v1 = string; + v2 = *string; + + if (v2 == 48 && v1[1] == 120) + { + return strtoul(v1 + 2, &end_ptr, 16); + } + + v4 = v2; + + if ((v2 - 65) <= 0x19u) + { + v4 = v2 + 32; + } + + v5 = 0xB3CB2E29 * static_cast(v4 ^ 0x319712C3); + + if (v2) + { + do + { + v6 = *++v1; + v7 = v6; + if ((v6 - 65) <= 0x19u) + { + v7 = v6 + 32; + } + + v5 = 0xB3CB2E29 * static_cast(v5 ^ v7); + } while (v6); + } + + return v5; + } + + std::int32_t generate_hash(const std::string& string); + + void insert_dvar_info(const std::int32_t hash, const std::string& name, const std::string& description); + void insert_dvar_info(const std::string& name, const std::string& description); std::string dvar_get_vector_domain(const int components, const game::dvar_limits& domain); std::string dvar_get_domain(const game::dvar_type type, const game::dvar_limits& domain); std::string dvar_get_description(const std::string& name); - std::optional get_dvar_info_from_hash(const int hash); + std::optional get_dvar_info_from_hash(const std::int32_t hash); game::dvar_t* register_int(const std::string& name, int value, int min, int max, unsigned int flags, const std::string& description); diff --git a/src/client/game/scripting/functions.cpp b/src/client/game/scripting/functions.cpp index 165e56a9..daf766ee 100644 --- a/src/client/game/scripting/functions.cpp +++ b/src/client/game/scripting/functions.cpp @@ -1,80 +1,79 @@ #include #include "functions.hpp" -#include "component/console.hpp" -#include "component/gsc/script_extension.hpp" - -#include -#include - #include +#include "component/gsc/script_extension.hpp" +#include "component/gsc/script_loading.hpp" + namespace scripting { namespace { - int find_function_index(const std::string& name, const bool prefer_global) + int find_function_index(const std::string& name, [[maybe_unused]] const bool prefer_global) { const auto target = utils::string::to_lower(name); - auto first = xsk::gsc::h1::resolver::function_id; - auto second = xsk::gsc::h1::resolver::method_id; + auto const& first = gsc::gsc_ctx->func_map(); + auto const& second = gsc::gsc_ctx->meth_map(); + if (!prefer_global) { - std::swap(first, second); + if (const auto itr = second.find(name); itr != second.end()) + { + return static_cast(itr->second); + } + + if (const auto itr = first.find(name); itr != first.end()) + { + return static_cast(itr->second); + } } - const auto first_res = first(target); - if (first_res) + if (const auto itr = first.find(name); itr != first.end()) { - return first_res; + return static_cast(itr->second); } - const auto second_res = second(target); - if (second_res) + if (const auto itr = second.find(name); itr != second.end()) { - return second_res; + return static_cast(itr->second); } return -1; } - - script_function get_function_by_index(const unsigned index) - { - if (index < 0x1000) - { - return reinterpret_cast(gsc::func_table)[index - 1]; - } - - return reinterpret_cast(gsc::meth_table)[index - 0x8000]; - } - - unsigned int parse_token_id(const std::string& name) - { - if (name.starts_with("_ID")) - { - return static_cast(std::strtol(name.substr(3).data(), nullptr, 10)); - } - - if (name.starts_with("_id_")) - { - return static_cast(std::strtol(name.substr(4).data(), nullptr, 16)); - } - - return 0; - } } - std::string find_token(unsigned int id) + std::uint32_t parse_token_id(const std::string& name) { - return xsk::gsc::h1::resolver::token_name(static_cast(id)); + if (name.starts_with("_ID")) + { + return static_cast(std::strtol(name.substr(3).data(), nullptr, 10)); + } + + if (name.starts_with("_id_")) + { + return static_cast(std::strtol(name.substr(4).data(), nullptr, 16)); + } + + return 0; + } + + std::string find_token(std::uint32_t id) + { + return gsc::gsc_ctx->token_name(id); + } + + std::string find_token_single(std::uint32_t id) + { + return gsc::gsc_ctx->token_name(id); } unsigned int find_token_id(const std::string& name) { - const auto result = xsk::gsc::h1::resolver::token_id(name); - if (result) + const auto id = gsc::gsc_ctx->token_id(name); + if (id) { - return result; + return id; } const auto parsed_id = parse_token_id(name); @@ -86,14 +85,24 @@ namespace scripting return game::SL_GetCanonicalString(name.data()); } + script_function get_function_by_index(const std::uint32_t index) + { + static const auto function_table = &gsc::func_table; + static const auto method_table = &gsc::meth_table; + + if (index < 0x1000) + { + return reinterpret_cast(function_table)[index - 1]; + } + + return reinterpret_cast(method_table)[index - 0x8000]; + } + script_function find_function(const std::string& name, const bool prefer_global) { const auto index = find_function_index(name, prefer_global); - if (index < 0) - { - return nullptr; - } + if (index < 0) return nullptr; return get_function_by_index(index); } -} +} \ No newline at end of file diff --git a/src/client/game/scripting/functions.hpp b/src/client/game/scripting/functions.hpp index 0685a92e..5bd1c764 100644 --- a/src/client/game/scripting/functions.hpp +++ b/src/client/game/scripting/functions.hpp @@ -5,8 +5,10 @@ namespace scripting { using script_function = void(*)(game::scr_entref_t); - std::string find_token(unsigned int id); + std::string find_token(std::uint32_t id); + std::string find_token_single(std::uint32_t id); unsigned int find_token_id(const std::string& name); + script_function get_function_by_index(std::uint32_t index); script_function find_function(const std::string& name, const bool prefer_global); } diff --git a/src/client/game/scripting/lua/context.cpp b/src/client/game/scripting/lua/context.cpp index 8a719e0e..8c483551 100644 --- a/src/client/game/scripting/lua/context.cpp +++ b/src/client/game/scripting/lua/context.cpp @@ -11,8 +11,7 @@ #include "component/fastfiles.hpp" #include "component/scheduler.hpp" -#include -#include +#include "component/gsc/script_loading.hpp" #include #include @@ -217,7 +216,7 @@ namespace scripting::lua auto entity_type = state.new_usertype("entity"); - for (const auto& func : xsk::gsc::h1::resolver::get_methods()) + for (auto const& func : gsc::gsc_ctx->meth_map()) { const auto name = std::string(func.first); entity_type[name] = [name](const entity& entity, const sol::this_state s, sol::variadic_args va) @@ -336,7 +335,7 @@ namespace scripting::lua auto game_type = state.new_usertype("game_"); state["game"] = game(); - for (const auto& func : xsk::gsc::h1::resolver::get_functions()) + for (auto const& func : gsc::gsc_ctx->func_map()) { const auto name = std::string(func.first); game_type[name] = [name](const game&, const sol::this_state s, sol::variadic_args va) diff --git a/src/client/game/structs.hpp b/src/client/game/structs.hpp index aa953275..f2f57509 100644 --- a/src/client/game/structs.hpp +++ b/src/client/game/structs.hpp @@ -1,7 +1,15 @@ #pragma once #include -#define PROTOCOL 1 +#define PROTOCOL 2 + +#ifdef DEBUG +#define assert_sizeof(__ASSET__, __SIZE__) static_assert(sizeof(__ASSET__) == __SIZE__) +#define assert_offsetof(__ASSET__, __VARIABLE__, __OFFSET__) static_assert(offsetof(__ASSET__, __VARIABLE__) == __OFFSET__) +#else +#define assert_sizeof(__ASSET__, __SIZE__) +#define assert_offsetof(__ASSET__, __VARIABLE__, __OFFSET__) +#endif namespace game { @@ -223,6 +231,40 @@ namespace game SF_COUNT = 0x6, }; + enum FileSysResult : std::int32_t + { + FILESYSRESULT_SUCCESS = 0x0, + FILESYSRESULT_EOF = 0x1, + FILESYSRESULT_ERROR = 0x2, + }; + + struct DB_IFileSysFile + { + void* file; + uint64_t last_read; + uint64_t bytes_read; + }; + + static_assert(sizeof(DB_IFileSysFile) == 24); + + struct DB_FileSysInterface; + + // this is a best guess, interface doesn't match up exactly w/other games (IW8, T9) + struct DB_FileSysInterface_vtbl + { + DB_IFileSysFile* (__fastcall* OpenFile)(DB_FileSysInterface* _this, Sys_Folder folder, const char* filename); + FileSysResult(__fastcall* Read)(DB_FileSysInterface* _this, DB_IFileSysFile* handle, unsigned __int64 offset, unsigned __int64 size, void* dest); + FileSysResult(__fastcall* Tell)(DB_FileSysInterface* _this, DB_IFileSysFile* handle, unsigned __int64* bytesRead); + __int64(__fastcall* Size)(DB_FileSysInterface* _this, DB_IFileSysFile* handle); + void(__fastcall* Close)(DB_FileSysInterface* _this, DB_IFileSysFile* handle); + bool(__fastcall* Exists)(DB_FileSysInterface* _this, Sys_Folder folder, const char* filename); + }; + + struct DB_FileSysInterface + { + DB_FileSysInterface_vtbl* vftbl; + }; + enum CodPlayMode { CODPLAYMODE_NONE = 0x0, @@ -1052,6 +1094,13 @@ namespace game int freeFlags; }; + struct XZoneInfoInternal + { + char name[64]; + int flags; + int isBaseMap; + }; + enum XAssetType { ASSET_TYPE_PHYSPRESET, @@ -1217,22 +1266,133 @@ namespace game char rasterizerState; }; - struct Material + struct Packed128 + { + std::uint64_t p0; + std::uint64_t p1; + }; + + struct GfxDrawSurfFields + { + unsigned __int64 objectId : 16; // p0 >> 0 + unsigned __int64 pad0 : 20; + unsigned __int64 reflectionProbeIndex : 8; + unsigned __int64 hasGfxEntIndex : 1; + unsigned __int64 customIndex : 5; // p0 >> 45 + unsigned __int64 materialSortedIndex : 14; // p0 >> 50 + unsigned __int64 tessellation : 2; // p1 >> 0 + unsigned __int64 prepass : 2; // p1 >> 2 + unsigned __int64 pad1 : 4; + unsigned __int64 useHeroLighting : 1; + unsigned __int64 sceneLightEnvIndex : 16; + unsigned __int64 viewModelRender : 1; + unsigned __int64 surfType : 4; + unsigned __int64 primarySortKey : 6; // p1 >> 30 + unsigned __int64 unused : 28; + }; + + union GfxDrawSurf + { + GfxDrawSurfFields fields; + Packed128 packed; + }; + + enum SurfaceTypeBits : std::uint64_t + { + SURFTYPE_BITS_DEFAULT = 0x0, + SURFTYPE_BITS_BARK = 0x1, + SURFTYPE_BITS_BRICK = 0x2, + SURFTYPE_BITS_CARPET = 0x4, + SURFTYPE_BITS_CLOTH = 0x8, + SURFTYPE_BITS_CONCRETE = 0x10, + SURFTYPE_BITS_DIRT = 0x20, + SURFTYPE_BITS_FLESH = 0x40, + SURFTYPE_BITS_FOLIAGE_DEBRIS = 0x80, + SURFTYPE_BITS_GLASS = 0x100, + SURFTYPE_BITS_GRASS = 0x200, + SURFTYPE_BITS_GRAVEL = 0x400, + SURFTYPE_BITS_ICE = 0x800, + SURFTYPE_BITS_METAL_SOLID = 0x1000, + SURFTYPE_BITS_METAL_GRATE = 0x2000, + SURFTYPE_BITS_MUD = 0x4000, + SURFTYPE_BITS_PAPER = 0x8000, + SURFTYPE_BITS_PLASTER = 0x10000, + SURFTYPE_BITS_ROCK = 0x20000, + SURFTYPE_BITS_SAND = 0x40000, + SURFTYPE_BITS_SNOW = 0x80000, + SURFTYPE_BITS_WATER_WAIST = 0x100000, + SURFTYPE_BITS_WOOD_SOLID = 0x200000, + SURFTYPE_BITS_ASPHALT = 0x400000, + SURFTYPE_BITS_CERAMIC = 0x800000, + SURFTYPE_BITS_PLASTIC_SOLID = 0x1000000, + SURFTYPE_BITS_RUBBER = 0x2000000, + SURFTYPE_BITS_FRUIT = 0x4000000, + SURFTYPE_BITS_PAINTEDMETAL = 0x8000000, + SURFTYPE_BITS_RIOTSHIELD = 0x10000000, + SURFTYPE_BITS_SLUSH = 0x20000000, + SURFTYPE_BITS_ASPHALT_WET = 0x40000000, + SURFTYPE_BITS_ASPHALT_DEBRIS = 0x80000000, + SURFTYPE_BITS_CONCRETE_WET = 0x100000000, + SURFTYPE_BITS_CONCRETE_DEBRIS = 0x200000000, + SURFTYPE_BITS_FOLIAGE_VEGETATION = 0x400000000, + SURFTYPE_BITS_FOLIAGE_LEAVES = 0x800000000, + SURFTYPE_BITS_GRASS_TALL = 0x1000000000, + SURFTYPE_BITS_METAL_HOLLOW = 0x2000000000, + SURFTYPE_BITS_METAL_VEHICLE = 0x4000000000, + SURFTYPE_BITS_METAL_THIN = 0x8000000000, + SURFTYPE_BITS_METAL_WET = 0x10000000000, + SURFTYPE_BITS_METAL_DEBRIS = 0x20000000000, + SURFTYPE_BITS_PLASTIC_HOLLOW = 0x40000000000, + SURFTYPE_BITS_PLASTIC_TARP = 0x80000000000, + SURFTYPE_BITS_ROCK_WET = 0x100000000000, + SURFTYPE_BITS_ROCK_DEBRIS = 0x200000000000, + SURFTYPE_BITS_WATER_ANKLE = 0x400000000000, + SURFTYPE_BITS_WATER_KNEE = 0x800000000000, + SURFTYPE_BITS_WOOD_HOLLOW = 0x1000000000000, + SURFTYPE_BITS_WOOD_WET = 0x2000000000000, + SURFTYPE_BITS_WOOD_DEBRIS = 0x4000000000000, + SURFTYPE_BITS_CUSHION = 0x8000000000000, + }; + + struct MaterialInfo { const char* name; - char __pad0[0x118]; - char textureCount; - char constantCount; - char stateBitsCount; - char stateFlags; - char cameraRegion; - char materialType; - char assetFlags; + unsigned char gameFlags; + unsigned char sortKey; + unsigned char textureAtlasRowCount; + unsigned char textureAtlasColumnCount; + unsigned char textureAtlasFrameBlend; + unsigned char textureAtlasAsArray; + unsigned char renderFlags; + GfxDrawSurf drawSurf; + void* surfaceTypeBits; + unsigned int hashIndex; + }; + + struct Material + { + union + { + const char* name; + MaterialInfo info; + }; + unsigned char stateBitsEntry[240]; + unsigned char textureCount; + unsigned char constantCount; + unsigned char stateBitsCount; + unsigned char stateFlags; + unsigned char cameraRegion; + unsigned char materialType; + unsigned char layerCount; + unsigned char assetFlags; MaterialTechniqueSet* techniqueSet; MaterialTextureDef* textureTable; void* constantTable; GfxStateBits* stateBitsTable; - char __pad2[0x108]; + unsigned char constantBufferIndex[240]; + void* constantBufferTable; + unsigned char constantBufferCount; + const char** subMaterials; }; static_assert(sizeof(Material) == 0x250); @@ -1382,18 +1542,16 @@ namespace game char data[1]; }; - union $3FA29451CE6F1FA138A5ABAB84BE9676 - { - ID3D11Texture1D* linemap; - ID3D11Texture2D* map; - ID3D11Texture3D* volmap; - ID3D11Texture2D* cubemap; - GfxImageLoadDef* loadDef; - }; - struct GfxTexture { - $3FA29451CE6F1FA138A5ABAB84BE9676 ___u0; + union + { + ID3D11Texture1D* linemap; + ID3D11Texture2D* map; + ID3D11Texture3D* volmap; + ID3D11Texture2D* cubemap; + GfxImageLoadDef* loadDef; + }; ID3D11ShaderResourceView* shaderView; ID3D11ShaderResourceView* shaderViewAlternate; }; @@ -1448,6 +1606,81 @@ namespace game const char* name; }; + struct DDLMember + { + const char* name; + int index; + void* parent; + int bitSize; + int limitSize; + int offset; + int type; + int externalIndex; + unsigned int rangeLimit; + unsigned int serverDelta; + unsigned int clientDelta; + int arraySize; + int enumIndex; + int permission; + }; + + struct DDLHash + { + unsigned int hash; + int index; + }; + + struct DDLHashTable + { + DDLHash* list; + int count; + int max; + }; + + struct DDLStruct + { + const char* name; + int bitSize; + int memberCount; + DDLMember* members; + DDLHashTable hashTableUpper; + DDLHashTable hashTableLower; + }; + + struct DDLEnum + { + const char* name; + int memberCount; + const char** members; + DDLHashTable hashTable; + }; + + struct DDLDef + { + char* name; + unsigned short version; + unsigned int checksum; + unsigned char flags; + int bitSize; + int byteSize; + DDLStruct* structList; + int structCount; + DDLEnum* enumList; + int enumCount; + DDLDef* next; + int headerBitSize; + int headerByteSize; + int reserveSize; + int userFlagsSize; + bool paddingUsed; + }; + + struct DDLRoot + { + const char* name; + DDLDef* ddlDef; + }; + union XAssetHeader { void* data; @@ -1510,6 +1743,16 @@ namespace game float halfSize[3]; }; + struct rectDef_s + { + float x; + float y; + float w; + float h; + int horzAlign; + int vertAlign; + }; + // made up struct client_state_t { @@ -1599,6 +1842,13 @@ namespace game int ingame_cursor_visible; }; + enum PMem_Direction + { + PHYS_ALLOC_LOW = 0x0, + PHYS_ALLOC_HIGH = 0x1, + PHYS_ALLOC_COUNT = 0x2, + }; + enum PMem_Source { PMEM_SOURCE_EXTERNAL = 0x0, @@ -1607,19 +1857,38 @@ namespace game PMEM_SOURCE_DEFAULT_HIGH = 0x3, PMEM_SOURCE_MOVIE = 0x4, PMEM_SOURCE_SCRIPT = 0x5, + PMEM_SOURCE_UNK5 = 0x5, + PMEM_SOURCE_UNK6 = 0x6, + PMEM_SOURCE_UNK7 = 0x7, + PMEM_SOURCE_UNK8 = 0x8, + PMEM_SOURCE_CUSTOMIZATION = 0x9, }; - struct physical_memory + struct PhysicalMemoryAllocation { - char __pad0[0x10]; - char* buf; - char __pad1[0x8]; - int unk1; - size_t size; - char __pad2[0x500]; - }; + const char* name; + char __pad0[16]; + unsigned __int64 pos; + char __pad1[8]; + }; static_assert(sizeof(PhysicalMemoryAllocation) == 40); - static_assert(sizeof(physical_memory) == 0x530); + struct PhysicalMemoryPrim + { + const char* name; + unsigned int allocListCount; + char __pad0[4]; + unsigned char* buf; + char __pad1[8]; + int unk1; + char __pad2[4]; + unsigned __int64 pos; + PhysicalMemoryAllocation allocList[32]; + }; static_assert(sizeof(PhysicalMemoryPrim) == 1328); + + struct PhysicalMemory + { + PhysicalMemoryPrim prim[2]; + }; static_assert(sizeof(PhysicalMemory) == 0xA60); namespace mp { @@ -1660,16 +1929,20 @@ namespace game { char __pad0[2]; char pm_type; // 2 - char __pad1[18573]; + char __pad1[297]; + float angles[3]; // 300 304 308 + char __pad2[18264]; sessionState_t sessionState; - char __pad2[220]; // 254 + char __pad3[220]; // 254 team_t team; - char __pad3[30]; + char __pad4[30]; char name[32]; // 18834 - char __pad4[622]; + char __pad5[622]; int flags; // 19488 }; // size = ? + static_assert(offsetof(gclient_s, angles) == 300); + static_assert(offsetof(gclient_s, sessionState) == 18576); static_assert(offsetof(gclient_s, team) == 18800); static_assert(offsetof(gclient_s, name) == 18834); static_assert(offsetof(gclient_s, flags) == 19488); @@ -1701,16 +1974,75 @@ namespace game static_assert(sizeof(gentity_s) == 736); + struct SprintState + { + int sprintButtonUpRequired; + int sprintDelay; + int lastSprintStart; + int lastSprintEnd; + int sprintStartMaxLength; + }; + struct playerState_s { - int clientNum; - char __pad0[116]; + char clientNum; + char __pad0[1]; + char pm_type; + char __pad1[44]; + int otherFlags; + char __pad2[28]; + int pm_time; + int pm_flags; + int eFlags; + int linkFlags; + char __pad3[24]; vec3_t origin; vec3_t velocity; - char __pad1[312]; - int sprintButtonUpRequired; + char __pad4[312]; + SprintState sprintState; + char __pad5[88]; + int weaponState0; + char __pad6[7040]; + int perks[2]; }; + static_assert(offsetof(playerState_s, pm_type) == 2); + //static_assert(offsetof(playerState_s, groundEntityNum) == 34); + static_assert(offsetof(playerState_s, otherFlags) == 48); + static_assert(offsetof(playerState_s, pm_time) == 80); + static_assert(offsetof(playerState_s, pm_flags) == 84); + static_assert(offsetof(playerState_s, eFlags) == 88); + static_assert(offsetof(playerState_s, linkFlags) == 92); + static_assert(offsetof(playerState_s, origin) == 120); + static_assert(offsetof(playerState_s, velocity) == 132); + static_assert(offsetof(playerState_s, sprintState) == 456); + static_assert(offsetof(playerState_s, weaponState0) == 564); + static_assert(offsetof(playerState_s, perks) == 7608); + + struct snapshot_s + { + playerState_s ps; + }; + + struct cg_s + { + char __pad0[18680]; + snapshot_s* nextSnap; + char __pad1[582400]; + int unk_601088; + int renderingThirdPerson; + char __pad2[378580]; + int unk_979676; + char __pad3[16]; + int unk_979696; + }; + + static_assert(offsetof(cg_s, nextSnap) == 18680); + static_assert(offsetof(cg_s, unk_601088) == 601088); + static_assert(offsetof(cg_s, renderingThirdPerson) == 601092); + static_assert(offsetof(cg_s, unk_979676) == 979676); + static_assert(offsetof(cg_s, unk_979696) == 979696); + struct pmove_t { playerState_s* ps; @@ -1752,6 +2084,15 @@ namespace game }; // size = 1011960 static_assert(sizeof(client_t) == 1011960); + + struct XZone + { + char __pad0[32]; + char name[64]; + char __pad1[408]; + }; + + static_assert(sizeof(XZone) == 504); } namespace sp @@ -1773,6 +2114,15 @@ namespace game struct playerState_s { }; + + struct XZone + { + char __pad0[32]; + char name[64]; + char __pad1[128]; + }; + + static_assert(sizeof(XZone) == 224); } union playerState_s @@ -1781,6 +2131,293 @@ namespace game mp::playerState_s* mp; }; + struct GfxWorldDpvsPlanes + { + int cellCount; + void* planes; + unsigned short* nodes; + unsigned int* sceneEntCellBits; + }; assert_sizeof(GfxWorldDpvsPlanes, 32); + + struct sunflare_t + { + bool hasValidData; + Material* spriteMaterial; + Material* flareMaterial; + float spriteSize; + float flareMinSize; + float flareMinDot; + float flareMaxSize; + float flareMaxDot; + float flareMaxAlpha; + int flareFadeInTime; + int flareFadeOutTime; + float blindMinDot; + float blindMaxDot; + float blindMaxDarken; + int blindFadeInTime; + int blindFadeOutTime; + float glareMinDot; + float glareMaxDot; + float glareMaxLighten; + int glareFadeInTime; + int glareFadeOutTime; + float sunFxPosition[3]; + }; assert_sizeof(sunflare_t, 112); + + typedef void* umbraTomePtr_t; + + struct GfxBuildInfo + { + const char* args0; + const char* args1; + const char* buildStartTime; + const char* buildEndTime; + }; assert_sizeof(GfxBuildInfo, 32); + + struct GfxStaticModelDrawInst + { + char __pad0[56]; + XModel* __ptr64 model; + unsigned short cullDist; + unsigned short flags; + unsigned short lightingHandle; + unsigned short staticModelId; + unsigned short primaryLightEnvIndex; + short unk0; + char unk1; // lod related + unsigned char reflectionProbeIndex; + unsigned char firstMtlSkinIndex; + unsigned char sunShadowFlags; + }; assert_sizeof(GfxStaticModelDrawInst, 80); + assert_offsetof(GfxStaticModelDrawInst, model, 56); + assert_offsetof(GfxStaticModelDrawInst, cullDist, 64); + assert_offsetof(GfxStaticModelDrawInst, flags, 66); + assert_offsetof(GfxStaticModelDrawInst, lightingHandle, 68); + assert_offsetof(GfxStaticModelDrawInst, primaryLightEnvIndex, 72); + assert_offsetof(GfxStaticModelDrawInst, reflectionProbeIndex, 77); // maybe wrong + assert_offsetof(GfxStaticModelDrawInst, firstMtlSkinIndex, 78); + + struct GfxStaticModelVertexLighting + { + unsigned char visibility[4]; + unsigned short ambientColorFloat16[4]; + unsigned short highlightColorFloat16[4]; + }; assert_sizeof(GfxStaticModelVertexLighting, 20); + + struct GfxStaticModelVertexLightingInfo + { + GfxStaticModelVertexLighting* lightingValues; + ID3D11Buffer* lightingValuesVb; + int numLightingValues; + }; + + struct GfxStaticModelLightmapInfo + { + float offset[2]; + float scale[2]; + unsigned int lightmapIndex; + }; + + struct GfxStaticModelGroundLightingInfo + { + unsigned short groundLighting[4]; // float16 + }; + + struct GfxStaticModelLightGridLightingInfo + { + unsigned short colorFloat16[4]; + int a; + float b; + char __pad1[8]; + }; + + union GfxStaticModelLighting + { + GfxStaticModelVertexLightingInfo vertexLightingInfo; + GfxStaticModelLightmapInfo modelLightmapInfo; + GfxStaticModelGroundLightingInfo modelGroundLightingInfo; + GfxStaticModelLightGridLightingInfo modelLightGridLightingInfo; + }; assert_sizeof(GfxStaticModelLighting, 24); + + struct GfxWorldDpvsStatic + { + unsigned int smodelCount; // 0 + unsigned int subdivVertexLightingInfoCount; // 4 + unsigned int staticSurfaceCount; // 8 + unsigned int litOpaqueSurfsBegin; // 12 + unsigned int litOpaqueSurfsEnd; // 16 + unsigned int unkSurfsBegin; + unsigned int unkSurfsEnd; + unsigned int litDecalSurfsBegin; // 28 + unsigned int litDecalSurfsEnd; // 32 + unsigned int litTransSurfsBegin; // 36 + unsigned int litTransSurfsEnd; // 40 + unsigned int shadowCasterSurfsBegin; // 44 + unsigned int shadowCasterSurfsEnd; // 48 + unsigned int emissiveSurfsBegin; // 52 + unsigned int emissiveSurfsEnd; // 56 + unsigned int smodelVisDataCount; // 60 + unsigned int surfaceVisDataCount; // 64 + unsigned int* smodelVisData[4]; // 72 80 88 96 + unsigned int* smodelUnknownVisData[27]; + unsigned int* surfaceVisData[4]; // 320 328 336 344 + unsigned int* surfaceUnknownVisData[27]; + unsigned int* smodelUmbraVisData[4]; // 568 576 584 592 + unsigned int* surfaceUmbraVisData[4]; // 600 608 616 624 + unsigned int* lodData; // 632 + unsigned int* tessellationCutoffVisData; // 640 + unsigned int* sortedSurfIndex; // 648 + void* smodelInsts; // 656 + void* surfaces; // 664 + void* surfacesBounds; // 672 + GfxStaticModelDrawInst* smodelDrawInsts; // 680 + unsigned int* unknownSModelVisData1; // 688 + unsigned int* unknownSModelVisData2; // 696 + GfxStaticModelLighting* smodelLighting; // 704 (array) + void* subdivVertexLighting; // 712 (array) + GfxDrawSurf* surfaceMaterials; // 720 + unsigned int* surfaceCastsSunShadow; // 728 + unsigned int sunShadowOptCount; // 736 + unsigned int sunSurfVisDataCount; // 740 + unsigned int* surfaceCastsSunShadowOpt; // 744 + void* surfaceDeptAndSurf; // 752 + void* constantBuffersLit; // 760 + void* constantBuffersAmbient; // 768 + int usageCount; // 776 + }; assert_sizeof(GfxWorldDpvsStatic, 784); + assert_offsetof(GfxWorldDpvsStatic, smodelVisData[0], 72); + assert_offsetof(GfxWorldDpvsStatic, surfaceVisData[0], 320); + assert_offsetof(GfxWorldDpvsStatic, smodelUmbraVisData[0], 568); + assert_offsetof(GfxWorldDpvsStatic, tessellationCutoffVisData, 640); + assert_offsetof(GfxWorldDpvsStatic, smodelDrawInsts, 680); + assert_offsetof(GfxWorldDpvsStatic, smodelLighting, 704); + assert_offsetof(GfxWorldDpvsStatic, sunSurfVisDataCount, 740); + assert_offsetof(GfxWorldDpvsStatic, constantBuffersAmbient, 768); + + struct GfxWorld + { + const char* name; // 0 + const char* baseName; // 8 + unsigned int bspVersion; // 16 + int planeCount; // 20 + int nodeCount; // 24 + unsigned int surfaceCount; // 28 + int skyCount; // 32 + void* skies; // 40 + unsigned int portalGroupCount; // 48 + unsigned int lastSunPrimaryLightIndex; // 52 + unsigned int primaryLightCount; // 56 + unsigned int primaryLightEnvCount; // 60 + unsigned int sortKeyLitDecal; // 64 + unsigned int sortKeyEffectDecal; // 68 + unsigned int sortKeyTopDecal; // 72 + unsigned int sortKeyEffectAuto; // 76 + unsigned int sortKeyDistortion; // 80 + unsigned int sortKeyUnknown; // 84 + unsigned int sortKeyUnknown2; // 88 + char __pad0[4]; // 92 + GfxWorldDpvsPlanes dpvsPlanes; // 96 + void* aabbTreeCounts; // 128 + void* aabbTrees; // 136 + void* cells; // 144 + void* portalGroup; // 152 + int unk_vec4_count_0; // 160 + char __pad1[4]; + vec4_t* unk_vec4_0; // 168 + + //GfxWorldDraw draw; // 176 + //GfxLightGrid lightGrid; // 432 + char __pad2[1336]; // 176 + + int modelCount; // 1512 + void* models; // 1520 + vec3_t mins1; + vec3_t maxs1; + vec3_t mins2; + vec3_t maxs2; + unsigned int checksum; + int materialMemoryCount; // 1580 + void* materialMemory; // 1584 + sunflare_t sun; // 1592 + float outdoorLookupMatrix[4][4]; + GfxImage* outdoorImage; // 1768 + unsigned int* cellCasterBits; // 1776 + unsigned int* cellHasSunLitSurfsBits; // 1784 + void* sceneDynModel; // 1792 + void* sceneDynBrush; // 1800 + unsigned int* primaryLightEntityShadowVis; // 1808 + unsigned int* primaryLightDynEntShadowVis[2]; // 1816 1824 + unsigned short* nonSunPrimaryLightForModelDynEnt; // 1832 + void* shadowGeom; // 1840 + void* shadowGeomOptimized; // 1848 + void* lightRegion; // 1856 + + GfxWorldDpvsStatic dpvs; // 1864 + //GfxWorldDpvsDynamic dpvsDyn; // 2648 + char __pad3[96]; // 2648 + + unsigned int mapVtxChecksum; // 2744 + unsigned int heroOnlyLightCount; // 2748 + void* heroOnlyLights; // 2752 + unsigned char fogTypesAllowed; // 2760 + unsigned int umbraTomeSize; // 2764 + char* umbraTomeData; // 2768 + umbraTomePtr_t umbraTomePtr; // 2776 + unsigned int mdaoVolumesCount; // 2784 + void* mdaoVolumes; // 2792 + char __pad4[32]; + GfxBuildInfo buildInfo; // 2832 + }; assert_sizeof(GfxWorld, 0xB30); + assert_offsetof(GfxWorld, skyCount, 32); + assert_offsetof(GfxWorld, skies, 40); + assert_offsetof(GfxWorld, dpvsPlanes, 96); + assert_offsetof(GfxWorld, aabbTreeCounts, 128); + assert_offsetof(GfxWorld, cells, 144); + assert_offsetof(GfxWorld, portalGroup, 152); + assert_offsetof(GfxWorld, unk_vec4_count_0, 160); + assert_offsetof(GfxWorld, unk_vec4_0, 168); + assert_offsetof(GfxWorld, __pad2, 176); + //assert_offsetof(GfxWorld, lightGrid, 432); + assert_offsetof(GfxWorld, modelCount, 1512); + assert_offsetof(GfxWorld, models, 1520); + assert_offsetof(GfxWorld, materialMemoryCount, 1580); + assert_offsetof(GfxWorld, materialMemory, 1584); + assert_offsetof(GfxWorld, sun, 1592); + assert_offsetof(GfxWorld, outdoorImage, 1768); + assert_offsetof(GfxWorld, cellCasterBits, 1776); + assert_offsetof(GfxWorld, cellHasSunLitSurfsBits, 1784); + assert_offsetof(GfxWorld, dpvs, 1864); + assert_offsetof(GfxWorld, __pad3, 2648); + assert_offsetof(GfxWorld, heroOnlyLightCount, 2748); + assert_offsetof(GfxWorld, heroOnlyLights, 2752); + assert_offsetof(GfxWorld, umbraTomeSize, 2764); + assert_offsetof(GfxWorld, umbraTomeData, 2768); + assert_offsetof(GfxWorld, umbraTomePtr, 2776); + assert_offsetof(GfxWorld, mdaoVolumesCount, 2784); + assert_offsetof(GfxWorld, mdaoVolumes, 2792); + assert_offsetof(GfxWorld, mdaoVolumes, 2792); + assert_offsetof(GfxWorld, buildInfo, 2832); + + struct DB_AuthSignature + { + unsigned char bytes[256]; + }; + + struct DB_AuthHash + { + unsigned char bytes[32]; + }; + + struct XPakHeader + { + char header[8]; + std::int32_t version; + unsigned char unknown[16]; + DB_AuthHash hash; + DB_AuthSignature signature; + }; + namespace hks { struct lua_State; diff --git a/src/client/game/symbols.hpp b/src/client/game/symbols.hpp index 8d48b504..3c77e591 100644 --- a/src/client/game/symbols.hpp +++ b/src/client/game/symbols.hpp @@ -47,7 +47,9 @@ namespace game WEAK symbol Com_SetSlowMotion{0x0, 0x17E5F0}; WEAK symbol Com_Error{0x384820, 0x159860}; WEAK symbol Com_Quit_f{0x0, 0x1F9280}; - WEAK symbol Com_Shutdown{0x3A6A50, 0x0}; + WEAK symbol Com_Shutdown{0x3A6A50, 0x157E10}; + WEAK symbol Com_IsAddonMap{0x40AED0, 0x17C100}; + WEAK symbol Com_sprintf{0x429200, 0x5AF0F0}; WEAK symbol Quit{0x3A5A20, 0x17CF50}; @@ -94,6 +96,7 @@ namespace game WEAK symbol FS_Startup{0x40D890, 0x0}; WEAK symbol FS_AddLocalizedGameDirectory{0x40B1E0, 0x1878F0}; + WEAK symbol GetObjectType{0x3C3680, 0x50A810}; WEAK symbol GetVariable{0x3C3740, 0x50A8D0}; WEAK symbol GetNewVariable{0x3C3360, 0x50A4F0}; WEAK symbol GetNewArrayVariable{0x3C31E0, 0x50A370}; @@ -122,6 +125,8 @@ namespace game WEAK symbol I_CleanStr{0x4293E0, 0x5AF2E0}; WEAK symbol Key_KeynumToString{0x1AC410, 0x199990}; + WEAK symbol Key_GetBindingForCmd{0x377280, 0x1572B0}; + WEAK symbol Key_SetBinding{0x1AC570, 0x199AE0}; WEAK symbol Live_SyncOnlineDataFlags{0x0, 0x1A5C10}; @@ -175,6 +180,7 @@ namespace game WEAK symbol Scr_GetFloat{0x3C87D0, 0x50F870}; WEAK symbol Scr_GetString{0x3C8CC0, 0x50FCB0}; WEAK symbol Scr_GetNumParam{0x3C89E0, 0x50F9D0}; + WEAK symbol Scr_CastString{0x3C4450, 0x50B4B0}; WEAK symbol Scr_ClearOutParams{0x3C7EF0, 0x50F070}; WEAK symbol Scr_GetEntityIdRef{0x3C6760, 0x50D8E0}; WEAK symbol Scr_GetEntityId{0x3C66B0, 0x50D830}; @@ -193,7 +199,7 @@ namespace game WEAK symbol DB_EnumXAssets_Internal{0x1F0BF0, 0x394C60}; WEAK symbol DB_GetXAssetName{0x1BF890, 0x366140}; - WEAK symbol DB_GetXAssetTypeSize{0x0, 0x0}; + WEAK symbol DB_GetXAssetTypeSize{0x0, 0x366180}; WEAK symbol DB_FindXAssetHeader{0x1F1120, 0x3950C0}; WEAK symbol UI_AddMenuList{0x0, 0x1D9960}; WEAK symbol UI_SafeTranslateString{0x3840A0, 0x4E8BC0}; + WEAK symbol UI_DrawWrappedText{0x406CD0, 0x1DCE30}; WEAK symbol UI_SetActiveMenu{0x0, 0x1E4D80}; @@ -296,25 +304,34 @@ namespace game WEAK symbol connectionState{0x0, 0x2EC82C8}; - // TODO: move to dvars.cpp when done - WEAK symbol fs_gameDirVal{0x0, 0x2EC86B8}; - - WEAK symbol g_poolSize{0x0, 0x10B3C80}; + WEAK symbol g_poolSize{0xEC97D0, 0x10B3C80}; WEAK symbol g_compressor{0x2574804, 0x3962804}; WEAK symbol scr_VarGlob{0xBD80E00, 0xB138180}; WEAK symbol scr_VmPub{0xC3F4E20, 0xB7AE3C0}; WEAK symbol scr_function_stack{0xC4015C0, 0xB7B8940}; - WEAK symbol g_scriptmem{0xD5F3140, 0xC92EC40}; + WEAK game::symbol pmem_size{0xD5F26D8, 0xC92E1D8}; + WEAK game::symbol pmem_buffer{0xD5F26D0, 0xC92E1D0}; + + WEAK game::symbol g_mem{0xD5F26E0, 0xC92E1E0}; + WEAK game::symbol g_scriptmem{0xD5F3140, 0xC92EC40}; + WEAK game::symbol g_physmem{0xD5F3BA0, 0xC92F6A0}; + + WEAK game::symbol stream_size{0x1DAD810, 0x258AA10}; + WEAK game::symbol stream_buffer{0x1DAD808, 0x258AA08}; WEAK symbol gfxDrawMethod{0xF7530B0, 0xE9213F0}; WEAK symbol dvarCount{0xC90E550, 0x2999C34}; WEAK symbol dvarPool{0xC90E560, 0x344DF20}; - WEAK symbol DB_XAssetPool{0xEC9FB0, 0x10B4460}; + WEAK symbol g_assetPool{0xEC9FB0, 0x10B4460}; WEAK symbol g_assetNames{0x991BA0, 0x10B30D0}; + WEAK symbol g_zoneInfo{0x0, 0x5F5A370}; + WEAK symbol g_zoneIndex{0x0, 0x3D1008C}; + + WEAK symbol db_fs{0x25C1168, 0x1566C08}; WEAK symbol keyCatchers{0x252AF70, 0x2EC82C4}; WEAK symbol playerKeys{0x2395B0C, 0x2999E1C}; @@ -332,6 +349,8 @@ namespace game WEAK symbol maps{0x7CE5A0, 0x926C80}; + WEAK symbol d3d11_device{0x1163B98, 0x12DFBF8}; + namespace mp { WEAK symbol g_entities{0x0, 0x71F19E0}; @@ -345,11 +364,15 @@ namespace game WEAK symbol client_state{0x0, 0x2EC84F0}; WEAK symbol connect_state{0x0, 0x2EC8510}; + + WEAK symbol g_zones{0x0, 0x5F292B0}; } namespace sp { WEAK symbol g_entities{0x56E74D0, 0x0}; + + WEAK symbol g_zones{0x45FE990, 0x0}; } namespace hks diff --git a/src/client/launcher/html/html_frame.cpp b/src/client/launcher/html/html_frame.cpp index d844ffec..0c5c992e 100644 --- a/src/client/launcher/html/html_frame.cpp +++ b/src/client/launcher/html/html_frame.cpp @@ -1,40 +1,117 @@ #include #include "html_frame.hpp" - -#include +#include "utils/nt.hpp" +#include "utils/io.hpp" +#include "utils/hook.hpp" std::atomic html_frame::frame_count_ = 0; +namespace +{ + void* original_func{}; + GUID browser_emulation_guid{ 0xac969931, 0x3566, 0x4b50, {0xae, 0x48, 0x71, 0xb9, 0x6a, 0x75, 0xc8, 0x79} }; + + int WINAPI co_internet_feature_value_internal_stub(const GUID* guid, uint32_t* result) + { + const auto res = static_cast(original_func)(guid, result); + + if (IsEqualGUID(*guid, browser_emulation_guid)) + { + *result = 11000; + return 0; + } + + return res; + } + + void patch_cached_browser_emulator(const utils::nt::library& urlmon) + { + std::string data{}; + if (!utils::io::read_file(urlmon.get_path().generic_string(), &data)) + { + return; + } + + const utils::nt::library file_lib(reinterpret_cast(data.data())); + + auto translate_file_offset_to_rva = [&](const size_t file_offset) -> size_t + { + const auto sections = file_lib.get_section_headers(); + for (const auto* section : sections) + { + if (section->PointerToRawData <= file_offset && section->PointerToRawData + section->SizeOfRawData > file_offset) + { + const auto section_va = file_offset - section->PointerToRawData; + return section_va + section->VirtualAddress; + } + } + + return 0; + }; + + const auto guid_pos = data.find(std::string(reinterpret_cast(&browser_emulation_guid), sizeof(browser_emulation_guid))); + if (guid_pos == std::string::npos) + { + return; + } + + const auto guid_rva = translate_file_offset_to_rva(guid_pos); + const auto guid_va = reinterpret_cast(urlmon.get_ptr() + guid_rva); + + if (!IsEqualGUID(*guid_va, browser_emulation_guid)) + { + return; + } + + const size_t unrelocated_guid_va = file_lib.get_optional_header()->ImageBase + guid_rva; + const auto guid_ptr_pos = data.find(std::string(reinterpret_cast(&unrelocated_guid_va), sizeof(unrelocated_guid_va))); + if (guid_ptr_pos == std::string::npos) + { + return; + } + + const auto guid_ptr_rva = translate_file_offset_to_rva(guid_ptr_pos); + *reinterpret_cast(urlmon.get_ptr() + guid_ptr_rva) = guid_va; + } + + void setup_ie_hooks() + { + static const auto _ = [] + { + const auto urlmon = utils::nt::library::load("urlmon.dll"s); + const auto target = urlmon.get_iat_entry("iertutil.dll", MAKEINTRESOURCEA(700)); + + original_func = *target; + utils::hook::set(target, co_internet_feature_value_internal_stub); + + patch_cached_browser_emulator(urlmon); + + return 0; + }(); + (void)_; + } +} + html_frame::callback_params::callback_params(DISPPARAMS* params, VARIANT* res) : result(res) { for (auto i = params->cArgs; i > 0; --i) { - auto* param = ¶ms->rgvarg[i - 1]; + auto param = ¶ms->rgvarg[i - 1]; this->arguments.emplace_back(param); } } -html_frame::html_frame() - : in_place_frame_(this) - , in_place_site_(this) - , ui_handler_(this) - , client_site_(this) - , html_dispatch_(this) +html_frame::html_frame() : in_place_frame_(this), in_place_site_(this), ui_handler_(this), client_site_(this), +html_dispatch_(this) { + setup_ie_hooks(); if (frame_count_++ == 0 && OleInitialize(nullptr) != S_OK) { throw std::runtime_error("Unable to initialize the OLE library"); } - auto needs_restart = false; - needs_restart |= set_browser_feature("FEATURE_BROWSER_EMULATION", 11000); - needs_restart |= set_browser_feature("FEATURE_GPU_RENDERING", 1); - - if (needs_restart) - { - utils::nt::relaunch_self(); - utils::nt::terminate(0); - } + set_browser_feature("FEATURE_BROWSER_EMULATION", 11000); + set_browser_feature("FEATURE_GPU_RENDERING", 1); } html_frame::~html_frame() diff --git a/src/client/launcher/window.cpp b/src/client/launcher/window.cpp index b9390612..eceaf84b 100644 --- a/src/client/launcher/window.cpp +++ b/src/client/launcher/window.cpp @@ -3,6 +3,10 @@ #include +#ifndef DWMWA_USE_IMMERSIVE_DARK_MODE +#define DWMWA_USE_IMMERSIVE_DARK_MODE 20 +#endif + std::mutex window::mutex_; std::vector window::windows_; @@ -37,6 +41,10 @@ void window::create(const std::string& title, const int width, const int height, this->handle_ = CreateWindowExA(NULL, this->wc_.lpszClassName, title.data(), flags, x, y, width, height, nullptr, nullptr, this->wc_.hInstance, this); + BOOL value = TRUE; + DwmSetWindowAttribute(this->handle_, + DWMWA_USE_IMMERSIVE_DARK_MODE, &value, sizeof(value)); + SendMessageA(this->handle_, WM_DPICHANGED, 0, 0); } @@ -50,7 +58,7 @@ void window::close() { if (!this->handle_) return; - SendMessageA(this->handle_, WM_KILL_WINDOW, NULL, NULL); + DestroyWindow(this->handle_); this->handle_ = nullptr; } diff --git a/src/client/launcher/window.hpp b/src/client/launcher/window.hpp index 4dea45d6..ddb4fd88 100644 --- a/src/client/launcher/window.hpp +++ b/src/client/launcher/window.hpp @@ -1,4 +1,5 @@ #pragma once +#pragma comment (lib, "dwmapi.lib") #define WM_KILL_WINDOW (WM_USER+0) diff --git a/src/client/main.cpp b/src/client/main.cpp index c61a57cc..97e4d7e1 100644 --- a/src/client/main.cpp +++ b/src/client/main.cpp @@ -164,12 +164,41 @@ void remove_crash_file() void enable_dpi_awareness() { const utils::nt::library user32{"user32.dll"}; - const auto set_dpi = user32 - ? user32.get_proc("SetProcessDpiAwarenessContext") - : nullptr; - if (set_dpi) + { - set_dpi(DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE_V2); + const auto set_dpi = user32 + ? user32.get_proc( + "SetProcessDpiAwarenessContext") + : nullptr; + if (set_dpi) + { + set_dpi(DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE_V2); + return; + } + } + + { + const utils::nt::library shcore{"shcore.dll"}; + const auto set_dpi = shcore + ? shcore.get_proc( + "SetProcessDpiAwareness") + : nullptr; + if (set_dpi) + { + set_dpi(PROCESS_PER_MONITOR_DPI_AWARE); + return; + } + } + + { + const auto set_dpi = user32 + ? user32.get_proc( + "SetProcessDPIAware") + : nullptr; + if (set_dpi) + { + set_dpi(); + } } } diff --git a/src/client/resource.hpp b/src/client/resource.hpp index ceb43a33..9636a45c 100644 --- a/src/client/resource.hpp +++ b/src/client/resource.hpp @@ -20,3 +20,5 @@ #define LUI_UPDATER 310 #define LUA_JSON 311 + +#define DVAR_LIST 312 diff --git a/src/client/resource.rc b/src/client/resource.rc index b833631f..fd0c2fb1 100644 --- a/src/client/resource.rc +++ b/src/client/resource.rc @@ -123,6 +123,8 @@ LUI_UPDATER RCDATA "resources/ui_scripts/updater.lua" LUA_JSON RCDATA "resources/json.lua" +DVAR_LIST RCDATA "resources/dvar_list.json" + #endif // English (United States) resources ///////////////////////////////////////////////////////////////////////////// diff --git a/src/client/resources/dvar_list.json b/src/client/resources/dvar_list.json new file mode 100644 index 00000000..8ed37cf4 --- /dev/null +++ b/src/client/resources/dvar_list.json @@ -0,0 +1,9286 @@ +[ + [ + "ai_count", + "Sets AI count." + ], + [ + "accessToSubscriberContent", + "Whether to display the subscriber maps." + ], + [ + "aci", + "" + ], + [ + "actionSlotsHide", + "Hide the actionslots." + ], + [ + "ai_grenadeReturn_approachMinDot", + "Minimal dot product between the approach and throw vectors to perform a grenade return" + ], + [ + "ai_grenadeReturn_debug", + "Turns on debug info for AI grenade returns" + ], + [ + "ai_grenadeReturn_extraFuseTime", + "The amount of time (in ms) to add to a grenade fuse when trying to return grenade that's below minFuseTime" + ], + [ + "ai_grenadeReturn_minDistSqr", + "Minimal distance to a grenade to consider it for a return so that transition anims will play" + ], + [ + "ai_grenadeReturn_minFuseTime", + "If the fuse time drops below this value when an ally is attempting to return a grenade, add extra fuse time" + ], + [ + "ai_grenadeReturn_stationary", + "If set, AI will attempt to return grenades that they are within pickup distance - regardless of min dist" + ], + [ + "ai_grenadeReturn_traceToGrenade", + "If set, AI will only attempt to return grenades when they have a clear sight trace to the grenade" + ], + [ + "ai_threatUpdateInterval", + "AI target threat update interval in milliseconds" + ], + [ + "aim_autoaim_enabled", + "" + ], + [ + "aim_target_sentient_radius", + "The radius used to calculate target bounds for a sentient(actor or player)" + ], + [ + "ammoCounterHide", + "Hide the Ammo Counter" + ], + [ + "armory_contentpacks_enabled", + "Allowed armory content packs. 0: none , 1: first armory content pack enabled, 2: first and second armory content pack enabled" + ], + [ + "badHost_detectMinServerTime", + "Time in MS before the bad host dection system kicks in after match start" + ], + [ + "badhost_maxDoISuckFrames", + "Max lagged frames need to end match" + ], + [ + "band_12players", + "12 player bandwidth req'd" + ], + [ + "band_18players", + "18 player bandwidth req'd" + ], + [ + "band_2players", + "2 player bandwidth req'd" + ], + [ + "band_4players", + "4 player bandwidth req'd" + ], + [ + "band_8players", + "8 player bandwidth req'd" + ], + [ + "bg_allowScuffFootsteps", + "If true, scuff sounds will be played when the player rotates in place." + ], + [ + "bg_bulletExplDmgFactor", + "Weapon damage multiplier that will be applied at the center of the slash damage area." + ], + [ + "bg_bulletExplRadius", + "The radius of the bullet splash damage, where the damage gradually falls off to 0." + ], + [ + "bg_compassShowEnemies", + "Whether enemies are visible on the compass at all times" + ], + [ + "bg_idleSwingSpeed", + "The rate at which the player's legs swing around when idle (multi-player only)" + ], + [ + "bg_shieldHitEncodeHeightVM", + "The decoding range, in height, of a client's viewmodel shield." + ], + [ + "bg_shieldHitEncodeHeightWorld", + "The encoding range, in height, of a client's world shield. A hit in this range is encoded into one of 8 rows." + ], + [ + "bg_shieldHitEncodeWidthVM", + "The decoding range, in width, of a client's viewmodel shield." + ], + [ + "bg_shieldHitEncodeWidthWorld", + "The encoding range, in width, of a client's world shield. A hit in this range is encoded into one of 16 collumns." + ], + [ + "bg_shock_fadeOverride", + "Override the time for the shellshock kick effect to fade in MP" + ], + [ + "bg_shock_lookControl", + "Alter player control during shellshock" + ], + [ + "bg_shock_lookControl_fadeTime", + "The time for the shellshock player control to fade in seconds" + ], + [ + "bg_shock_lookControl_maxpitchspeed", + "Maximum pitch movement rate while shellshocked in degrees per second" + ], + [ + "bg_shock_lookControl_maxyawspeed", + "Maximum yaw movement rate while shell shocked in degrees per second" + ], + [ + "bg_shock_lookControl_mousesensitivityscale", + "Sensitivity scale to apply to a shellshocked player" + ], + [ + "bg_shock_movement", + "Affect player's movement speed duringi shellshock" + ], + [ + "bg_shock_screenBlurBlendFadeTime", + "The amount of time in seconds for the shellshock effect to fade" + ], + [ + "bg_shock_screenBlurBlendTime", + "The amount of time in seconds for the shellshock effect to fade" + ], + [ + "bg_shock_screenFlashShotFadeTime", + "In seconds, how soon from the end of the effect to start blending out the whiteout layer." + ], + [ + "bg_shock_screenFlashWhiteFadeTime", + "In seconds, how soon from the end of the effect to start blending out the whiteout layer." + ], + [ + "bg_shock_screenType", + "Shell shock screen effect type" + ], + [ + "bg_shock_sound", + "Play shell shock sound" + ], + [ + "bg_shock_soundDryLevel", + "Shell shock sound dry level" + ], + [ + "bg_shock_soundEnd", + "Shellshock end sound alias" + ], + [ + "bg_shock_soundEndAbort", + "Shellshock aborted end sound alias" + ], + [ + "bg_shock_soundFadeInTime", + "Shell shock sound fade in time in seconds" + ], + [ + "bg_shock_soundFadeOutTime", + "Shell shock sound fade out time in seconds" + ], + [ + "bg_shock_soundLoop", + "Shellshock loop alias" + ], + [ + "bg_shock_soundLoopEndDelay", + "Sound loop end offset time from the end of the shellshock in seconds" + ], + [ + "bg_shock_soundLoopFadeTime", + "Shell shock sound loop fade time in seconds" + ], + [ + "bg_shock_soundLoopSilent", + "The sound that gets blended with the shellshock loop alias" + ], + [ + "bg_shock_soundModEndDelay", + "The delay from the end of the shell shock to the end of the sound modification" + ], + [ + "bg_shock_soundRoomType", + "Shell shock sound reverb room type" + ], + [ + "bg_shock_soundSubmix", + "Shell shock submix to apply" + ], + [ + "bg_shock_soundWetLevel", + "Shell shock sound wet level" + ], + [ + "bg_shock_viewKickFadeTime", + "The time for the shellshock kick effect to fade" + ], + [ + "bg_shock_viewKickPeriod", + "The period of the shellshock view kick effect" + ], + [ + "bg_shock_viewKickRadius", + "Shell shock kick radius" + ], + [ + "bg_swingSpeed", + "The rate at which the player's legs swing around when idle (multi-player only)" + ], + [ + "bg_torsoSwingSpeed", + "The rate at which the player's torso swings around when strafing (multi-player only)" + ], + [ + "boostcheatHeadshotsTotalCoef", + "" + ], + [ + "boostcheatHeadshotsTotalMean", + "" + ], + [ + "boostcheatHeadshotsTotalStddev", + "" + ], + [ + "boostcheatIntercept", + "" + ], + [ + "boostcheatKillerXAnomalyCoef", + "" + ], + [ + "boostcheatKillerXAnomalyMean", + "" + ], + [ + "boostcheatKillerXAnomalyStddev", + "" + ], + [ + "boostcheatKillerYAnomalyCoef", + "" + ], + [ + "boostcheatKillerYAnomalyMean", + "" + ], + [ + "boostcheatKillerYAnomalyStddev", + "" + ], + [ + "boostcheatMeanDistanceMostKilledPlayerTraveledMean", + "" + ], + [ + "boostcheatMeanDistanceVictimTraveledCoef", + "" + ], + [ + "boostcheatMeanDistanceVictimTraveledMean", + "" + ], + [ + "boostcheatMeanDistanceVictimTraveledStddev", + "" + ], + [ + "boostcheatMeanMostKilledPlayerLifetimeMillisecondsMean", + "" + ], + [ + "boostcheatMostKilledPlayerHKRatioCoef", + "" + ], + [ + "boostcheatMostKilledPlayerHKRatioMean", + "" + ], + [ + "boostcheatMostKilledPlayerHKRatioStddev", + "" + ], + [ + "boostcheatMostKilledPlayerKillsRatioCoef", + "" + ], + [ + "boostcheatMostKilledPlayerKillsRatioMean", + "" + ], + [ + "boostcheatMostKilledPlayerKillsRatioStddev", + "" + ], + [ + "boostcheatMostKilledPlayerKillsTotalCoef", + "" + ], + [ + "boostcheatMostKilledPlayerKillsTotalMean", + "" + ], + [ + "boostcheatMostKilledPlayerKillsTotalStddev", + "" + ], + [ + "boostcheatMostKilledPlayerKillTimestampsAnomalyMean", + "" + ], + [ + "boostcheatVictimXAnomalyCoef", + "" + ], + [ + "boostcheatVictimXAnomalyMean", + "" + ], + [ + "boostcheatVictimXAnomalyStddev", + "" + ], + [ + "boostcheatVictimYAnomalyCoef", + "" + ], + [ + "boostcheatVictimYAnomalyMean", + "" + ], + [ + "boostcheatVictimYAnomalyStddev", + "" + ], + [ + "bot_DifficultyDefault", + "default difficulty level of bots" + ], + [ + "ca_auto_signin", + "CoD Anywhere start sign-in task automatically on startup or first party sign-in" + ], + [ + "ca_do_mlc", + "CoD Anywhere Do Multi Login check" + ], + [ + "ca_intra_only", + "CoD Anywhere Intra Network Only" + ], + [ + "ca_require_signin", + "CoD Anywhere require sign in to enter MP" + ], + [ + "ca_show_signup_request", + "CoD Anywhere should you show new users a popup requesting they create a CoD Account?" + ], + [ + "camera_thirdPerson", + "Use third person view globally" + ], + [ + "cameraShakeRemoteHelo_Angles", + "Remote helicopter gunner cam, range to shake the view." + ], + [ + "cameraShakeRemoteHelo_Freqs", + "Remote helicopter gunner cam, how fast to shake." + ], + [ + "cameraShakeRemoteHelo_SpeedRange", + "Remote helicopter gunner cam, range of missile speed to scale the shaking." + ], + [ + "cameraShakeRemoteMissile_Angles", + "Remote missile-cam, range to shake the view." + ], + [ + "cameraShakeRemoteMissile_Freqs", + "Remote missile-cam, how fast to shake." + ], + [ + "cameraShakeRemoteMissile_SpeedRange", + "Remote missile-cam, range of missile speed to scale the shaking." + ], + [ + "cg_airstrikeCamFstop", + "Airstrike kill camera aperture. Lower f-stop yields a shallower depth of field. Typical values range from 1 to 22" + ], + [ + "cg_airstrikeKillCamFarBlur", + "" + ], + [ + "cg_airstrikeKillCamFarBlurDist", + "" + ], + [ + "cg_airstrikeKillCamFarBlurStart", + "" + ], + [ + "cg_airstrikeKillCamFov", + "Airstrike kill camera field of view." + ], + [ + "cg_airstrikeKillCamNearBlur", + "" + ], + [ + "cg_airstrikeKillCamNearBlurEnd", + "" + ], + [ + "cg_airstrikeKillCamNearBlurStart", + "" + ], + [ + "cg_blood", + "Show Blood" + ], + [ + "cg_bloodThickColor", + "Color of the blood overlay's thick blood splatter" + ], + [ + "cg_bloodThinColor", + "Color of the blood overlay's thin blood splatter" + ], + [ + "cg_brass", + "Weapons eject brass" + ], + [ + "cg_centertime", + "The time for a center printed message to fade" + ], + [ + "cg_chatHeight", + "The font height of a chat message" + ], + [ + "cg_chatTime", + "The amount of time that a chat message is visible" + ], + [ + "cg_ColorBlind_EnemyTeam", + "Enemy team color for color blind people" + ], + [ + "cg_ColorBlind_MyParty", + "Player party color for color blind people" + ], + [ + "cg_ColorBlind_MyTeam", + "Player team color for color blind people" + ], + [ + "cg_connectionIconSize", + "Size of the connection icon" + ], + [ + "cg_constantSizeHeadIcons", + "Head icons are the same size regardless of distance from the player" + ], + [ + "cg_crosshairAlpha", + "The alpha value of the crosshair" + ], + [ + "cg_crosshairAlphaMin", + "The minimum alpha value of the crosshair when it fades in" + ], + [ + "cg_crosshairDynamic", + "Crosshair is Dynamic" + ], + [ + "cg_crosshairEnemyColor", + "The crosshair color when over an enemy" + ], + [ + "cg_crosshairVerticalOffset", + "Amount to vertically offset the crosshair from the center." + ], + [ + "cg_cullBulletAngle", + "Cull bullet trajectories that don't fall within this fov" + ], + [ + "cg_cullBullets", + "Whether to cull bullet fire prediction if trajectory doesn't pass your view or anywhere near you" + ], + [ + "cg_cursorHints", + "Draw cursor hints where:\n 0: no hints" + ], + [ + "cg_deadChatWithDead", + "If true, dead players can all chat together, regardless of team" + ], + [ + "cg_deadChatWithTeam", + "If true, dead players can talk to living players on their team" + ], + [ + "cg_deadHearAllLiving", + "If true, dead players can hear all living players talk" + ], + [ + "cg_deadHearTeamLiving", + "If true, dead players can hear living players on their team talk" + ], + [ + "cg_descriptiveText", + "Draw descriptive spectator messages" + ], + [ + "cg_draw2D", + "Draw 2D screen elements" + ], + [ + "cg_drawBreathHint", + "Draw a 'hold breath to steady' hint" + ], + [ + "cg_drawBuildName", + "Draw build name" + ], + [ + "cg_drawCrosshair", + "Turn on weapon crosshair" + ], + [ + "cg_drawCrosshairNames", + "Draw the name of an enemy under the crosshair" + ], + [ + "cg_drawCrosshairNamesPosX", + "" + ], + [ + "cg_drawCrosshairNamesPosY", + "" + ], + [ + "cg_drawDamageDirection", + "Draw hit direction arrow." + ], + [ + "cg_drawDamageFlash", + "Draw flash when hit." + ], + [ + "cg_drawDoubleTapDetonateHint", + "Draw a 'double tap to detonate grenade' hint" + ], + [ + "cg_drawEffectNum", + "Draw counts of effects and elements" + ], + [ + "cg_drawFPS", + "Draw frames per second" + ], + [ + "cg_drawFPSLabels", + "Draw FPS Info Labels" + ], + [ + "cg_drawFriendlyHUDGrenades", + "Draw grenade warning indicators for friendly grenades (should be true if friendly-fire is enabled)" + ], + [ + "cg_drawFriendlyNames", + "Whether to show friendly names in game" + ], + [ + "cg_drawFriendlyNamesAlways", + "Whether to always show friendly names in game (for certain gametypes)" + ], + [ + "cg_drawGun", + "Draw the view model" + ], + [ + "cg_drawHealth", + "Draw health bar" + ], + [ + "cg_drawMantleHint", + "Draw a 'press key to mantle' hint" + ], + [ + "cg_drawMaterial", + "Draw debugging information for materials" + ], + [ + "cg_drawpaused", + "Draw paused screen" + ], + [ + "cg_drawScriptUsage", + "Draw debugging information for scripts" + ], + [ + "cg_drawSnapshot", + "Draw debugging information for snapshots" + ], + [ + "cg_drawStatsSource", + "Draw stats source" + ], + [ + "cg_drawTalk", + "Controls which icons CG_TALKER ownerdraw draws" + ], + [ + "cg_drawTurretCrosshair", + "Draw a cross hair when using a turret" + ], + [ + "cg_drawViewpos", + "Draw viewpos" + ], + [ + "cg_e3TrailerHacks", + "Tweaks for trailer recording" + ], + [ + "cg_equipmentSounds", + "Play equipment sounds" + ], + [ + "cg_errordecay", + "Decay for predicted error" + ], + [ + "cg_everyoneHearsEveryone", + "If true, all players can all chat together, regardless of team or death" + ], + [ + "cg_explosiveKillCamBackDist", + "Explosive kill camera: distance of camera backwards from explosive." + ], + [ + "cg_explosiveKillCamGroundBackDist", + "Explosive kill camera when stuck to ground: distance of camera backwards from explosive." + ], + [ + "cg_explosiveKillCamGroundUpDist", + "Explosive kill camera when stuck to ground: distance of camera backwards from explosive." + ], + [ + "cg_explosiveKillCamStopDecelDist", + "Rocket and Grenade Launcher kill camera: distance from player to begin coming to rest" + ], + [ + "cg_explosiveKillCamStopDist", + "Rocket and Grenade Launcher kill camera: distance from player to begin coming to rest" + ], + [ + "cg_explosiveKillCamUpDist", + "Explosive kill camera: distance of camera backwards from explosive." + ], + [ + "cg_explosiveKillCamWallOutDist", + "Explosive kill camera when stuck to wall: distance of camera out from wall." + ], + [ + "cg_explosiveKillCamWallSideDist", + "Explosive kill camera when stuck to wall: distance of camera out from wall." + ], + [ + "cg_flashbangNameFadeIn", + "Time in milliseconds to fade in friendly names" + ], + [ + "cg_flashbangNameFadeOut", + "Time in milliseconds to fade out friendly names" + ], + [ + "cg_foliagesnd_alias", + "The sound that plays when an actor or player enters a foliage clip brush." + ], + [ + "cg_footsteps", + "Play footstep sounds that are NOT sprint" + ], + [ + "cg_footstepsSprint", + "Play sprint footstep sounds" + ], + [ + "cg_fov", + "The field of view angle in degrees" + ], + [ + "cg_fovMin", + "The minimum possible field of view" + ], + [ + "cg_fovScale", + "Scale applied to the field of view" + ], + [ + "cg_friendlyNameFadeIn", + "Time in milliseconds to fade in friendly names" + ], + [ + "cg_friendlyNameFadeOut", + "Time in milliseconds to fade out friendly names" + ], + [ + "cg_gameBoldMessageWidth", + "The maximum character width of the bold game messages" + ], + [ + "cg_gameMessageWidth", + "The maximum character width of the game messages" + ], + [ + "cg_gun_x", + "Forward position of the viewmodel" + ], + [ + "cg_gun_y", + "Right position of the viewmodel" + ], + [ + "cg_gun_z", + "Up position of the viewmodel" + ], + [ + "cg_headIconMinScreenRadius", + "The minumum radius of a head icon on the screen" + ], + [ + "cg_hearKillerTime", + "Duration (in milliseconds) to hear the person you just killed" + ], + [ + "cg_hearVictimEnabled", + "If true, you can hear the person you just killed" + ], + [ + "cg_hearVictimTime", + "Duration (in milliseconds) to hear the person you just killed" + ], + [ + "cg_heliKillCamFarBlur", + "" + ], + [ + "cg_heliKillCamFarBlurDist", + "" + ], + [ + "cg_heliKillCamFarBlurStart", + "" + ], + [ + "cg_heliKillCamFov", + "Helicopter kill camera field of view." + ], + [ + "cg_heliKillCamFstop", + "Helicopter kill camera aperture. Lower f-stop yields a shallower depth of field. Typical values range from 1 to 22" + ], + [ + "cg_heliKillCamNearBlur", + "" + ], + [ + "cg_heliKillCamNearBlurEnd", + "" + ], + [ + "cg_heliKillCamNearBlurStart", + "" + ], + [ + "cg_hintFadeTime", + "Time in milliseconds for the cursor hint to fade" + ], + [ + "cg_hudChatIntermissionPosition", + "Position of the HUD chat box during intermission" + ], + [ + "cg_hudChatPosition", + "Position of the HUD chat box" + ], + [ + "cg_hudDamageIconHeight", + "The height of the damage icon" + ], + [ + "cg_hudDamageIconInScope", + "Draw damage icons when aiming down the sight of a scoped weapon" + ], + [ + "cg_hudDamageIconOffset", + "The offset from the center of the damage icon" + ], + [ + "cg_hudDamageIconOverlayTime", + "The amount of time (in ms) for the overlay portion of the damage icon to stay on screen" + ], + [ + "cg_hudDamageIconStartFadeTime", + "The amount of time (in ms) before the damage icon begins to fade" + ], + [ + "cg_hudDamageIconTime", + "The amount of time for the damage icon to stay on screen after damage is taken" + ], + [ + "cg_hudDamageIconWidth", + "The width of the damage icon" + ], + [ + "cg_hudGrenadeIconEnabledFlash", + "Show the grenade indicator for flash grenades" + ], + [ + "cg_hudGrenadeIconHeight", + "The height of the grenade indicator icon" + ], + [ + "cg_hudGrenadeIconInScope", + "Show the grenade indicator when aiming down the sight of a scoped weapon" + ], + [ + "cg_hudGrenadeIconMaxRangeFlash", + "The minimum distance that a flashbang has to be from a player in order to be shown on the grenade indicator" + ], + [ + "cg_hudGrenadeIconMaxRangeFrag", + "The minimum distance that a grenade has to be from a player in order to be shown on the grenade indicator" + ], + [ + "cg_hudGrenadeIconOffset", + "The offset from the center of the screen for a grenade icon" + ], + [ + "cg_hudGrenadeIconWidth", + "The width of the grenade indicator icon" + ], + [ + "cg_hudGrenadePointerHeight", + "The height of the grenade indicator pointer" + ], + [ + "cg_hudGrenadePointerPivot", + "The pivot point of th grenade indicator pointer" + ], + [ + "cg_hudGrenadePointerPulseFreq", + "The number of times per second that the grenade indicator flashes in Hertz" + ], + [ + "cg_hudGrenadePointerPulseMax", + "The maximum alpha of the grenade indicator pulse. Values higher than 1 will cause the indicator to remain at full brightness for longer" + ], + [ + "cg_hudGrenadePointerPulseMin", + "The minimum alpha of the grenade indicator pulse. Values lower than 0 will cause the indicator to remain at full transparency for longer" + ], + [ + "cg_hudGrenadePointerWidth", + "The width of the grenade indicator pointer" + ], + [ + "cg_hudLegacySplitscreenScale", + "Screen scale for hud elements in splitscreen" + ], + [ + "cg_hudLighting_basic_additiveLumOffset", + "[basic] Offset applied to additive light color." + ], + [ + "cg_hudLighting_basic_additiveLumScale", + "[basic] Scale applied to additive light color." + ], + [ + "cg_hudLighting_basic_additiveOffset", + "" + ], + [ + "cg_hudLighting_basic_additiveScale", + "" + ], + [ + "cg_hudLighting_basic_ambientLumOffset", + "[basic] Offset applied to ambient light color." + ], + [ + "cg_hudLighting_basic_ambientLumScale", + "[basic] Scale applied to ambient light color." + ], + [ + "cg_hudLighting_basic_ambientOffset", + "" + ], + [ + "cg_hudLighting_basic_ambientScale", + "" + ], + [ + "cg_hudLighting_basic_diffuseLumOffset", + "[basic] Offset applied to diffuse light color." + ], + [ + "cg_hudLighting_basic_diffuseLumScale", + "[basic] Scale applied to diffuse light color." + ], + [ + "cg_hudLighting_basic_diffuseOffset", + "" + ], + [ + "cg_hudLighting_basic_diffuseScale", + "" + ], + [ + "cg_hudLighting_basic_specExponent", + "[basic] Specular exponent. Higher values result in sharper highlights." + ], + [ + "cg_hudLighting_basic_specLumOffset", + "[basic] Offset applied to spec light luminance." + ], + [ + "cg_hudLighting_basic_specLumScale", + "[basic] Scale applied to spec light luminance." + ], + [ + "cg_hudLighting_basic_specOffset", + "" + ], + [ + "cg_hudLighting_basic_specScale", + "" + ], + [ + "cg_hudLighting_blood_additiveLumOffset", + "[blood] Offset applied to additive light color." + ], + [ + "cg_hudLighting_blood_additiveLumScale", + "[blood] Scale applied to additive light color." + ], + [ + "cg_hudLighting_blood_additiveOffset", + "" + ], + [ + "cg_hudLighting_blood_additiveScale", + "" + ], + [ + "cg_hudLighting_blood_ambientLumOffset", + "[blood] Offset applied to ambient light color." + ], + [ + "cg_hudLighting_blood_ambientLumScale", + "[blood] Scale applied to ambient light color." + ], + [ + "cg_hudLighting_blood_ambientOffset", + "" + ], + [ + "cg_hudLighting_blood_ambientScale", + "" + ], + [ + "cg_hudLighting_blood_diffuseLumOffset", + "[blood] Offset applied to diffuse light color." + ], + [ + "cg_hudLighting_blood_diffuseLumScale", + "[blood] Scale applied to diffuse light color." + ], + [ + "cg_hudLighting_blood_diffuseOffset", + "" + ], + [ + "cg_hudLighting_blood_diffuseScale", + "" + ], + [ + "cg_hudLighting_blood_specExponent", + "[blood] Specular exponent. Higher values result in sharper highlights." + ], + [ + "cg_hudLighting_blood_specLumOffset", + "[blood] Offset applied to spec light luminance." + ], + [ + "cg_hudLighting_blood_specLumScale", + "[blood] Scale applied to spec light luminance." + ], + [ + "cg_hudLighting_blood_specOffset", + "" + ], + [ + "cg_hudLighting_blood_specScale", + "" + ], + [ + "cg_hudLighting_fadeSharpness", + "This controls how sharp the lines are when fading using the mask alpha. Higher values are sharper." + ], + [ + "cg_hudMapBorderWidth", + "The size of the full map's border, filled by the CG_PLAYER_FULLMAP_BORDER ownerdraw" + ], + [ + "cg_hudMapFriendlyHeight", + "" + ], + [ + "cg_hudMapFriendlyWidth", + "" + ], + [ + "cg_hudMapPlayerHeight", + "" + ], + [ + "cg_hudMapPlayerWidth", + "" + ], + [ + "cg_hudMapRadarLineThickness", + "Thickness, relative to the map width, of the radar texture that sweeps across the full screen map" + ], + [ + "cg_hudObjectiveTextScale", + "" + ], + [ + "cg_hudProneY", + "Virtual screen y coordinate of the prone blocked message" + ], + [ + "cg_hudSayPosition", + "Position of the HUD say box" + ], + [ + "cg_hudSplitscreenCompassElementScale", + "Scale value to apply to compass elements in splitscreen" + ], + [ + "cg_hudSplitscreenCompassScale", + "Scale value to apply to the compass in splitscreen" + ], + [ + "cg_hudSplitscreenStanceScale", + "Scale value to apply to the stance HUD element in splitscreen" + ], + [ + "cg_hudStanceFlash", + "The background color of the flash when the stance changes" + ], + [ + "cg_hudVotePosition", + "Position of the HUD vote box" + ], + [ + "cg_invalidCmdHintBlinkInterval", + "Blink rate of an invalid command hint" + ], + [ + "cg_invalidCmdHintDuration", + "Duration of an invalid command hint" + ], + [ + "cg_javelinKillCamCloseZDist", + "Javelin kill camera: closest distance above the target." + ], + [ + "cg_javelinKillCamDownDist", + "Javelin kill camera: distance to follow during ascent." + ], + [ + "cg_javelinKillCamFov", + "Javelin kill camera: fov" + ], + [ + "cg_javelinKillCamLookLerpDist", + "Javelin kill camera: distance over which to lerp to look at player during descent. A value of zero means don't lerp at all." + ], + [ + "cg_javelinKillCamPassDist", + "Javelin kill camera: distance away when passing." + ], + [ + "cg_javelinKillCamPassTime", + "Javelin kill camera: time in seconds to pass javelin on the way up" + ], + [ + "cg_javelinKillCamUpDist", + "Javelin kill camera: distance to follow during ascent." + ], + [ + "cg_killCamDefaultLerpTime", + "Default time used to lerp between killcam entities." + ], + [ + "cg_killCamTurretLerpTime", + "Time used to lerp to a killcam entity of the TURRET type." + ], + [ + "cg_landingSounds", + "Play landing on surface sounds" + ], + [ + "cg_largeExplosiveKillCamBackDist", + "Large Explosive kill camera: distance of camera backwards from explosive." + ], + [ + "cg_largeExplosiveKillCamUpDist", + "Large Explosive kill camera: distance of camera backwards from explosive." + ], + [ + "cg_mapLocationSelectionCursorSpeed", + "Speed of the cursor when selecting a location on the map" + ], + [ + "cg_marks_ents_player_only", + "Marks on entities from players' bullets only." + ], + [ + "cg_minCullBulletDist", + "Don't cull bullet trajectories that are within this distance to you." + ], + [ + "cg_objectiveText", + "" + ], + [ + "cg_overheadIconSize", + "The maximum size to show overhead icons like 'rank'" + ], + [ + "cg_overheadNamesFarDist", + "The far distance at which name sizes are scaled by cg_overheadNamesFarScale" + ], + [ + "cg_overheadNamesFarScale", + "The amount to scale overhead name sizes at cg_overheadNamesFarDist" + ], + [ + "cg_overheadNamesFont", + "Font for overhead names ( see menudefinition.h )" + ], + [ + "cg_overheadNamesGlow", + "Glow color for overhead names" + ], + [ + "cg_overheadNamesMaxDist", + "The maximum distance for showing friendly player names" + ], + [ + "cg_overheadNamesNearDist", + "The near distance at which names are full size" + ], + [ + "cg_overheadNamesSize", + "The maximum size to show overhead names" + ], + [ + "cg_overheadRankSize", + "The size to show rank text" + ], + [ + "cg_remoteMissileKillCamBackDist", + "Remote missile kill camera: distance of camera backwards from rocket." + ], + [ + "cg_remoteMissileKillCamUpDist", + "Remote missile kill camera: distance of camera backwards from rocket." + ], + [ + "cg_rocketKillCamBackDist", + "Rocket kill camera: distance of camera backwards from rocket." + ], + [ + "cg_rocketKillCamUpDist", + "Rocket kill camera: distance of camera backwards from rocket." + ], + [ + "cg_scriptIconSize", + "Size of Icons defined by script" + ], + [ + "cg_showmiss", + "Show prediction errors" + ], + [ + "cg_sprintMeterDisabledColor", + "The color of the sprint meter when the sprint meter is full" + ], + [ + "cg_sprintMeterEmptyColor", + "The color of the sprint meter when the sprint meter is full" + ], + [ + "cg_sprintMeterFullColor", + "The color of the sprint meter when the sprint meter is full" + ], + [ + "cg_subtitleMinTime", + "The minimum time that the subtitles are displayed on screen in seconds" + ], + [ + "cg_subtitleWidthStandard", + "The width of the subtitles on a non wide-screen" + ], + [ + "cg_subtitleWidthWidescreen", + "The width of the subtitle on a wide-screen" + ], + [ + "cg_teamChatsOnly", + "Allow chatting only on the same team" + ], + [ + "cg_TeamColor_Allies", + "Allies team color" + ], + [ + "cg_TeamColor_Axis", + "Axis team color" + ], + [ + "cg_TeamColor_EnemyTeam", + "Enemy team color" + ], + [ + "cg_TeamColor_Free", + "Free Team color" + ], + [ + "cg_TeamColor_MyParty", + "Player team color when in the same party" + ], + [ + "cg_TeamColor_MyTeam", + "Player team color" + ], + [ + "cg_TeamColor_Spectator", + "Spectator team color" + ], + [ + "cg_turretKillCamBackDist", + "Turret kill camera: distance of camera backwards from Turret." + ], + [ + "cg_turretKillCamFov", + "Turret kill camera field of view." + ], + [ + "cg_turretKillCamUpDist", + "Turret kill camera: distance of camera backwards from Turret." + ], + [ + "cg_turretRemoteKillCamBackDist", + "Remote Turret kill camera: distance of camera backwards from Turret." + ], + [ + "cg_turretRemoteKillCamFov", + "Remote Turret kill camera field of view." + ], + [ + "cg_turretRemoteKillCamUpDist", + "Remote Turret kill camera: distance of camera backwards from Turret." + ], + [ + "cg_vectorFieldsForceUniform", + "Forces all vector field assets to represent a single, uniform direction" + ], + [ + "cg_viewVehicleInfluence", + "The influence on the view angles from being in a vehicle" + ], + [ + "cg_viewZSmoothingMax", + "Threshhold for the maximum smoothing distance we'll do" + ], + [ + "cg_viewZSmoothingMin", + "Threshhold for the minimum smoothing distance it must move to smooth" + ], + [ + "cg_viewZSmoothingTime", + "Amount of time to spread the smoothing over" + ], + [ + "cg_voiceIconSize", + "Size of the 'voice' icon" + ], + [ + "cg_waterSheeting_distortionScaleFactor", + "Distortion uv scales (Default to 1)" + ], + [ + "cg_waterSheeting_magnitude", + "Distortion magnitude" + ], + [ + "cg_waterSheeting_radius", + "Tweak dev var; Glow radius in pixels at 640x480" + ], + [ + "cg_weapHitCullAngle", + "Angle of cone within which to cull back facing weapon hit effects" + ], + [ + "cg_weapHitCullEnable", + "When true, cull back facing weapon hit fx." + ], + [ + "cg_weaponCycleDelay", + "The delay after cycling to a new weapon to prevent holding down the cycle weapon button from cycling too fast" + ], + [ + "cg_weaponHintsCoD1Style", + "Draw weapon hints in CoD1 style: with the weapon name, and with the icon below" + ], + [ + "cg_weaponVisInterval", + "Do weapon vis checks once per this many frames, per centity" + ], + [ + "cg_youInKillCamSize", + "Size of the 'you' Icon in the kill cam" + ], + [ + "cl_anglespeedkey", + "Multiplier for max angle speed for game pad and keyboard" + ], + [ + "cl_bypassMouseInput", + "Bypass UI mouse input and send directly to the game" + ], + [ + "cl_connectionAttempts", + "Maximum number of connection attempts before aborting" + ], + [ + "cl_connectTimeout", + "Timeout time in seconds while connecting to a server" + ], + [ + "cl_demo_uploadfb", + "Should we upload to FB" + ], + [ + "cl_dirSelConvergenceTime", + "Time to converge to the new direction when selecting a direction on the map." + ], + [ + "cl_force_paused", + "Force the client to be paused. Can't be overridden by LUA scripts, the start button, etc." + ], + [ + "cl_freelook", + "Enable looking with mouse" + ], + [ + "cl_hudDrawsBehindUI", + "Should the HUD draw when the UI is up?" + ], + [ + "cl_ingame", + "True if the game is active" + ], + [ + "cl_inhibit_stats_upload", + "Inhibit upload of stats during demo playback" + ], + [ + "cl_lessprint", + "Print less to the console by filtering out certain spammy channels" + ], + [ + "cl_maxpackets", + "Maximum number of packets sent per frame" + ], + [ + "cl_maxPing", + "Maximum ping for the client" + ], + [ + "cl_migrationTimeout", + "Seconds to wait to hear from new host during host migration before timeout occurs" + ], + [ + "cl_modifiedDebugPlacement", + "Modify the location of debug output (outside of safe area)" + ], + [ + "cl_motdString", + "" + ], + [ + "cl_mouseAccel", + "Mouse acceleration" + ], + [ + "cl_noprint", + "Print nothing to the console" + ], + [ + "cl_packetdup", + "Enable packet duplication" + ], + [ + "cl_pauseAudioZoneEnabled", + "Enable the paused audio zone when the menus are up" + ], + [ + "cl_paused", + "Pause the game" + ], + [ + "cl_pitchspeed", + "Max pitch speed in degrees for game pad" + ], + [ + "cl_pranks", + "pranks" + ], + [ + "cl_pushToTalk", + "Do we have to press a button to talk" + ], + [ + "cl_serverStatusResendTime", + "Time in milliseconds to resend a server status message" + ], + [ + "cl_showmouserate", + "Print mouse rate debugging information to the console" + ], + [ + "cl_textChatEnabled", + "Do we want to use text chat" + ], + [ + "cl_timeout", + "Seconds with no received packets until a timeout occurs" + ], + [ + "cl_voice", + "Use voice communications" + ], + [ + "cl_yawspeed", + "Max yaw speed in degrees for game pad and keyboard" + ], + [ + "clientSideEffects", + "Enable loading _fx.gsc files on the client" + ], + [ + "cod_anywhere_errorMessage", + "CoD Anywhere error message" + ], + [ + "cod_anywhere_showPopup", + "Temp Development: Should we show the CoD Anywhere popup" + ], + [ + "cod_anywhere_single_task_popup_text", + "CoD Anywhere success message" + ], + [ + "com_animCheck", + "Check anim tree" + ], + [ + "com_cinematicEndInWhite", + "Set by script. True if cinematic ends with a white screen." + ], + [ + "com_completionResolveCommand", + "Command to run when the message box successfully closes" + ], + [ + "com_errorMessage", + "Most recent error message" + ], + [ + "com_errorResolveCommand", + "Command to run when they close the error box" + ], + [ + "com_filter_output", + "Use console filters for filtering output." + ], + [ + "com_maxfps", + "Cap frames per second" + ], + [ + "com_maxFrameTime", + "Time slows down if a frame takes longer than this many milliseconds" + ], + [ + "com_playerProfile", + "Set to the name of the profile" + ], + [ + "com_recommendedSet", + "" + ], + [ + "commerce_dl_retry_step", + "Step in m/s for the commerce download retry" + ], + [ + "commerce_manifest_file_max_retry_time", + "Max time that the commerce manifest can retry" + ], + [ + "commerce_manifest_file_retry_step", + "Step in m/s for the commerce manifest retry" + ], + [ + "commerce_max_dl_retry_time", + "Max time that the commerce download can retry" + ], + [ + "commerce_max_retry_time", + "Max time that the commerce upload can retry" + ], + [ + "commerce_retry_step", + "Step in m/s for the commerce upload retry" + ], + [ + "compass", + "Display Compass" + ], + [ + "compassClampIcons", + "If true, friendlies and enemy pings clamp to the edge of the radar. If false, they disappear off the edge." + ], + [ + "compassCoords", + "x = North-South coord base value, \ny = East-West coord base value, \nz = scale (game units per coord unit)" + ], + [ + "compassECoordCutoff", + "Left cutoff for the scrolling east-west coords" + ], + [ + "compassFriendlyHeight", + "" + ], + [ + "compassFriendlyWidth", + "" + ], + [ + "compassHideSansObjectivePointer", + "Hide the compass, but leave the obective pointer visible." + ], + [ + "compassHideVehicles", + "When enabled, disables the CG_PLAYER_COMPASS_VEHICLES ownerdraw." + ], + [ + "compassMaxRange", + "The maximum range from the player in world space that objects will be shown on the compass" + ], + [ + "compassMinRadius", + "The minimum radius from the center of the compass that objects will appear." + ], + [ + "compassMinRange", + "The minimum range from the player in world space that objects will appear on the compass" + ], + [ + "compassObjectiveArrowHeight", + "" + ], + [ + "compassObjectiveArrowOffset", + "The offset of the objective arrow inward from the edge of the compass map" + ], + [ + "compassObjectiveArrowRotateDist", + "Distance from the corner of the compass map at which the objective arrow rotates to 45 degrees" + ], + [ + "compassObjectiveArrowWidth", + "" + ], + [ + "compassObjectiveDetailDist", + "When an objective is closer than this distance (in meters), the icon will not be drawn on the tickertape." + ], + [ + "compassObjectiveDrawLines", + "Draw horizontal and vertical lines to the active target, if it is within the minimap boundries" + ], + [ + "compassObjectiveHeight", + "" + ], + [ + "compassObjectiveIconHeight", + "" + ], + [ + "compassObjectiveIconWidth", + "" + ], + [ + "compassObjectiveMaxHeight", + "The maximum height that an objective is considered to be on this level" + ], + [ + "compassObjectiveMaxRange", + "The maximum range at which an objective is visible on the compass" + ], + [ + "compassObjectiveMinAlpha", + "The minimum alpha for an objective at the edge of the compass" + ], + [ + "compassObjectiveMinDistRange", + "The distance that objective transition effects play over, centered on compassObjectiveNearbyDist." + ], + [ + "compassObjectiveMinHeight", + "The minimum height that an objective is considered to be on this level" + ], + [ + "compassObjectiveNearbyDist", + "When an objective is closer than this distance (in meters), the icon will not be drawn on the tickertape." + ], + [ + "compassObjectiveNumRings", + "The number of rings when a new objective appears" + ], + [ + "compassObjectiveRingSize", + "The maximum objective ring sige when a new objective appears on the compass" + ], + [ + "compassObjectiveRingTime", + "The amount of time between each ring when an objective appears" + ], + [ + "compassObjectiveTextHeight", + "Objective text height" + ], + [ + "compassObjectiveTextScale", + "Scale to apply to hud objectives" + ], + [ + "compassObjectiveWidth", + "" + ], + [ + "compassObjectiveWraparoundTime", + "How long it takes for the objective to wrap around the compass from one edge to the other" + ], + [ + "compassPlayerHeight", + "" + ], + [ + "compassPlayerWidth", + "" + ], + [ + "compassRadarLineThickness", + "Thickness, relative to the compass size, of the radar texture that sweeps across the map" + ], + [ + "compassRadarPingFadeTime", + "How long an enemy is visible on the compass after it is detected by radar" + ], + [ + "compassRotation", + "Style of compass" + ], + [ + "compassSize", + "Scale the compass" + ], + [ + "compassSoundPingFadeTime", + "The time in seconds for the sound overlay on the compass to fade" + ], + [ + "compassTickertapeStretch", + "How far the tickertape should stretch from its center." + ], + [ + "comscore_active", + "Are we allowed to enable ComScore tracking or not" + ], + [ + "con_gameMsgWindow0FadeInTime", + "" + ], + [ + "con_gameMsgWindow0FadeOutTime", + "" + ], + [ + "con_gameMsgWindow0Filter", + "" + ], + [ + "con_gameMsgWindow0LineCount", + "" + ], + [ + "con_gameMsgWindow0MsgTime", + "" + ], + [ + "con_gameMsgWindow0ScrollTime", + "" + ], + [ + "con_gameMsgWindow1FadeInTime", + "" + ], + [ + "con_gameMsgWindow1FadeOutTime", + "" + ], + [ + "con_gameMsgWindow1Filter", + "" + ], + [ + "con_gameMsgWindow1LineCount", + "" + ], + [ + "con_gameMsgWindow1MsgTime", + "" + ], + [ + "con_gameMsgWindow1ScrollTime", + "" + ], + [ + "con_gameMsgWindow2FadeInTime", + "" + ], + [ + "con_gameMsgWindow2FadeOutTime", + "" + ], + [ + "con_gameMsgWindow2Filter", + "" + ], + [ + "con_gameMsgWindow2LineCount", + "" + ], + [ + "con_gameMsgWindow2MsgTime", + "" + ], + [ + "con_gameMsgWindow2ScrollTime", + "" + ], + [ + "con_gameMsgWindow3FadeInTime", + "" + ], + [ + "con_gameMsgWindow3FadeOutTime", + "" + ], + [ + "con_gameMsgWindow3Filter", + "" + ], + [ + "con_gameMsgWindow3LineCount", + "" + ], + [ + "con_gameMsgWindow3MsgTime", + "" + ], + [ + "con_gameMsgWindow3ScrollTime", + "" + ], + [ + "con_subtitleLeading", + "Leading for subtitles, calculated as a percentage of the font height" + ], + [ + "con_typewriterColorGlowCheckpoint", + "" + ], + [ + "con_typewriterColorGlowCompleted", + "" + ], + [ + "con_typewriterColorGlowFailed", + "" + ], + [ + "con_typewriterColorGlowUpdated", + "" + ], + [ + "con_typewriterColorInteriorCheckpoint", + "" + ], + [ + "con_typewriterColorInteriorCompleted", + "" + ], + [ + "con_typewriterColorInteriorFailed", + "" + ], + [ + "con_typewriterColorInteriorUpdated", + "" + ], + [ + "con_typewriterDecayDuration", + "Time (in milliseconds) to spend disolving the line away." + ], + [ + "con_typewriterDecayStartTime", + "Time (in milliseconds) to spend between the build and disolve phases." + ], + [ + "con_typewriterPrintSpeed", + "Time (in milliseconds) to print each letter in the line." + ], + [ + "counterDownloadInterval", + "Number of minutes before all the global counters are uploaded" + ], + [ + "counterUploadInterval", + "Number of minutes before all the global counters are uploaded" + ], + [ + "cpu_speed_12players", + "12 player sys_configureGHz req'd" + ], + [ + "cpu_speed_18players", + "18 player sys_configureGHz req'd" + ], + [ + "cpu_speed_8players", + "8 player sys_configureGHz req'd" + ], + [ + "cSplineDebugRender", + "Debug Render the csplines." + ], + [ + "cSplineDebugRenderCorridor", + "Debug Render the cspline corridor." + ], + [ + "cSplineDebugRenderData", + "Debug Render the cspline data." + ], + [ + "cSplineDebugRenderSplineId", + "Select a cspline - 0 for all." + ], + [ + "dailychallenge_killswitch", + "daily challenge killswitch - int with bits used to flag individual daily challenges as enabled" + ], + [ + "dailychallenge_killswitch2", + "daily challenge killswitch2 - int with bits used to flag 2nd set of individual daily challenges as enabled" + ], + [ + "dailychallenge_period", + "daily challenge period - utc value for a day" + ], + [ + "data_validation_allow_drop", + "" + ], + [ + "dc_lobbymerge", + "Allows lobby merging across data centres" + ], + [ + "dcacheSimulateNoHDD", + "When turned on, simulate no HDD for caching." + ], + [ + "dcacheThrottleEnabled", + "Enable or disable dcache upload throttling." + ], + [ + "dcacheThrottleKBytesPerSec", + "Dcache upload throttle limit in K Bytes per second." + ], + [ + "dedicated_dhclient", + "True if we're a client playing on a DH server" + ], + [ + "demonwareConsideredConnectedTime", + "Number of milliseconds after being disconnected from demonware before considering shutting down." + ], + [ + "developer", + "Enable development options" + ], + [ + "didyouknow", + "" + ], + [ + "discard_playerstats_on_suspend", + "Forces stats discard on suspend" + ], + [ + "drawEntityCount", + "Enable entity count drawing" + ], + [ + "drawEntityCountPos", + "Where to draw the entity count graph" + ], + [ + "drawEntityCountSize", + "undefined" + ], + [ + "drawKillcamData", + "Enable drawing server killcam data" + ], + [ + "drawKillcamDataPos", + "Where to draw the server killcam graph" + ], + [ + "drawKillcamDataSize", + "How big to draw the killcam data graph" + ], + [ + "drawServerBandwidth", + "Enable drawing server bandwidth" + ], + [ + "drawServerBandwidthPos", + "Where to draw the server bandwidth graph" + ], + [ + "ds_dcid", + "optional datacenter id - from playlist" + ], + [ + "ds_dcid_override", + "force datacenter id" + ], + [ + "ds_info", + "ds info string" + ], + [ + "ds_info_enable", + "Enable ds info string" + ], + [ + "ds_introRequestTimeout", + "ds intro request timeout (ms)" + ], + [ + "ds_keepaliveInterval", + "ds keepalive interval (ms)" + ], + [ + "ds_keepaliveTimeout", + "ds keepalive timeout (ms)" + ], + [ + "ds_pingclient_max_reping_distance", + "don't re-ping a datacenter if it's further away than this (miles)" + ], + [ + "ds_pingclient_max_repings", + "max # of times to re-ping a datacenter" + ], + [ + "ds_pingclient_maxpings", + "max pings to send per datacenter" + ], + [ + "ds_pingclient_maxpings_per_tick", + "max new pings each tick" + ], + [ + "ds_pingclient_min_reping_delay", + "min msec delay between re-pings" + ], + [ + "ds_pingclient_min_reping_latency", + "don't re-ping a datacenter if latency is less than this" + ], + [ + "ds_pingclient_minpings", + "min responses required per datacenter" + ], + [ + "ds_pingclient_odsf", + "does dsping set odsf flag" + ], + [ + "dsping_dc_0", + "" + ], + [ + "dsping_dc_1", + "" + ], + [ + "dsping_dc_10", + "" + ], + [ + "dsping_dc_11", + "" + ], + [ + "dsping_dc_12", + "" + ], + [ + "dsping_dc_13", + "" + ], + [ + "dsping_dc_14", + "" + ], + [ + "dsping_dc_15", + "" + ], + [ + "dsping_dc_16", + "" + ], + [ + "dsping_dc_17", + "" + ], + [ + "dsping_dc_18", + "" + ], + [ + "dsping_dc_19", + "" + ], + [ + "dsping_dc_2", + "" + ], + [ + "dsping_dc_20", + "" + ], + [ + "dsping_dc_21", + "" + ], + [ + "dsping_dc_22", + "" + ], + [ + "dsping_dc_23", + "" + ], + [ + "dsping_dc_24", + "" + ], + [ + "dsping_dc_25", + "" + ], + [ + "dsping_dc_26", + "" + ], + [ + "dsping_dc_27", + "" + ], + [ + "dsping_dc_28", + "" + ], + [ + "dsping_dc_29", + "" + ], + [ + "dsping_dc_3", + "" + ], + [ + "dsping_dc_30", + "" + ], + [ + "dsping_dc_31", + "" + ], + [ + "dsping_dc_32", + "" + ], + [ + "dsping_dc_33", + "" + ], + [ + "dsping_dc_34", + "" + ], + [ + "dsping_dc_35", + "" + ], + [ + "dsping_dc_36", + "" + ], + [ + "dsping_dc_37", + "" + ], + [ + "dsping_dc_38", + "" + ], + [ + "dsping_dc_39", + "" + ], + [ + "dsping_dc_4", + "" + ], + [ + "dsping_dc_40", + "" + ], + [ + "dsping_dc_41", + "" + ], + [ + "dsping_dc_42", + "" + ], + [ + "dsping_dc_43", + "" + ], + [ + "dsping_dc_44", + "" + ], + [ + "dsping_dc_45", + "" + ], + [ + "dsping_dc_46", + "" + ], + [ + "dsping_dc_47", + "" + ], + [ + "dsping_dc_48", + "" + ], + [ + "dsping_dc_49", + "" + ], + [ + "dsping_dc_5", + "" + ], + [ + "dsping_dc_50", + "" + ], + [ + "dsping_dc_51", + "" + ], + [ + "dsping_dc_52", + "" + ], + [ + "dsping_dc_53", + "" + ], + [ + "dsping_dc_54", + "" + ], + [ + "dsping_dc_55", + "" + ], + [ + "dsping_dc_56", + "" + ], + [ + "dsping_dc_57", + "" + ], + [ + "dsping_dc_58", + "" + ], + [ + "dsping_dc_59", + "" + ], + [ + "dsping_dc_6", + "" + ], + [ + "dsping_dc_60", + "" + ], + [ + "dsping_dc_61", + "" + ], + [ + "dsping_dc_62", + "" + ], + [ + "dsping_dc_63", + "" + ], + [ + "dsping_dc_7", + "" + ], + [ + "dsping_dc_8", + "" + ], + [ + "dsping_dc_9", + "" + ], + [ + "dvl", + "Enables the data validation system. Only available in non-retail builds." + ], + [ + "dw_addrHandleTimeout", + "Delay before destroying an addrHandle after the connection is lost\n" + ], + [ + "dw_leaderboard_write_active", + "Are leaderboard writes enabled" + ], + [ + "dw_presence_active", + "Is the demonware presence system enabled" + ], + [ + "dw_presence_coop_join_active", + "Do we allow players to join on presence for private coop matches (post session to demonware" + ], + [ + "dw_presence_get_delay", + "Number of milliseconds to wait after booting the game to fetch demonware presence" + ], + [ + "dw_presence_get_rate", + "Number of milliseconds to wait between sending presence state to demonware" + ], + [ + "dw_presence_put_delay", + "Number of milliseconds to wait in a presence state before sending to demonware" + ], + [ + "dw_presence_put_rate", + "Number of milliseconds to wait between sending presence state to demonware" + ], + [ + "dw_region_lookup_timeout", + "Timeout (in MS) after which we will accept not having found a region code and use the default" + ], + [ + "dw_shared_presence_active", + "Is the demonware shared presence system enabled" + ], + [ + "dw_shared_presence_get_delay", + "Number of milliseconds to wait after booting the game to fetch demonware presence" + ], + [ + "dw_shared_presence_get_rate", + "Number of milliseconds to wait between sending presence state to demonware" + ], + [ + "dw_shared_presence_put_delay", + "Number of milliseconds to wait in a shared presence state before sending to demonware" + ], + [ + "dw_shared_presence_put_rate", + "Number of milliseconds to wait between sending presence state to demonware" + ], + [ + "dwBandwidthTestTaskTimeout", + "default timeout for the bandwidth test task (in ms). 0 means no timeout" + ], + [ + "dynEnt_active", + "Disable/enable dynent reactions" + ], + [ + "dynEnt_playerWakeUpRadius", + "Determines threshold distance from player within which all dynents are woken up." + ], + [ + "dynEnt_playerWakeUpZOffset", + "Determines vertical distance from player's feet from which wake up sphere is centered." + ], + [ + "elite_clan_active", + "Are we allowed to show Elite Clans or not" + ], + [ + "elite_clan_cool_off_time", + "Cool off time between calls to fetch the elite clan" + ], + [ + "elite_clan_delay", + "Delay before the bdTeams calls start to Demonware. -1 means On-Demand and it will wait until the 'starteliteclan' menu call" + ], + [ + "elite_clan_division_icon_active", + "Are we allowed to show Elite Clan division icon or not" + ], + [ + "elite_clan_get_blob_profile_max_retry_time", + "Max time that the Elite Clan get private profile can retry" + ], + [ + "elite_clan_get_blob_profile_retry_step", + "Step in m/s for the Elite Clan get private profile retry" + ], + [ + "elite_clan_get_clan_max_retry_time", + "Max time that the Elite Clan get clan can retry" + ], + [ + "elite_clan_get_clan_retry_step", + "Step in m/s for the Elite Clan get clan retry" + ], + [ + "elite_clan_get_members_max_retry_time", + "Max time that the Elite Clan get members can retry" + ], + [ + "elite_clan_get_members_retry_step", + "Step in m/s for the Elite Clan get members retry" + ], + [ + "elite_clan_get_private_member_profile_max_retry_time", + "Max time that the Elite Clan get private profile can retry" + ], + [ + "elite_clan_get_private_member_profile_retry_step", + "Step in m/s for the Elite Clan get private profile retry" + ], + [ + "elite_clan_get_public_profile_max_retry_time", + "Max time that the Elite Clan get public profile can retry" + ], + [ + "elite_clan_get_public_profile_retry_step", + "Step in m/s for the Elite Clan get public profile retry" + ], + [ + "elite_clan_get_team_stats_max_retry_time", + "Max time that the Elite Clan get team stats can retry" + ], + [ + "elite_clan_get_team_stats_retry_step", + "Step in m/s for the Elite Clan get team stats retry" + ], + [ + "elite_clan_motd_throttle_time", + "Throttle time between motd update calls" + ], + [ + "elite_clan_remote_view_active", + "Are we allowed to view the clans for remote players" + ], + [ + "elite_clan_remote_view_max_retry_time", + "Max time that the Elite Clan remote viewing can retry" + ], + [ + "elite_clan_remote_view_retry_step", + "Step in m/s for the retry for viewing a remote Elite Clan" + ], + [ + "elite_clan_send_message_to_members_max_retry_time", + "Max time that the Elite Clan send message to members can retry" + ], + [ + "elite_clan_send_message_to_members_retry_step", + "Step in m/s for the Elite Clan send message to members retry" + ], + [ + "elite_clan_set_private_member_profile_max_retry_time", + "Max time that the Elite Clan set private member profile can retry" + ], + [ + "elite_clan_set_private_member_profile_retry_step", + "Step in m/s for the Elite Clan set private member profile retry" + ], + [ + "elite_clan_single_task_popup_text", + "String to be displayed on popup when a single task is being performed" + ], + [ + "elite_clan_using_title", + "Stores whether the Elite Clan title is in use by the user" + ], + [ + "emblems_active", + "Are we allowed to enable Emblems or not" + ], + [ + "enable_recordRecentActivity", + "records the timestamp of when the player was recently active to the tracker leaderboards" + ], + [ + "enableReportingRegisteredParties", + "If true then party membership data and host status will be reported in matchdata blob." + ], + [ + "entitlements_active", + "Are we allowed to show Entitlements or not" + ], + [ + "entitlements_config_file_max_retry_time", + "Max time that the Entitlements config file read can retry" + ], + [ + "entitlements_config_file_retry_step", + "Step in m/s for the Entitlements config file read retry" + ], + [ + "entitlements_cool_off_time", + "Cool off time between calls to fetch the elite clan" + ], + [ + "entitlements_delay", + "Delay before the entitlement calls start to Demonware. -1 means On-Demand and it will wait until the 'startentitlements' menu call" + ], + [ + "entitlements_key_archive_max_retry_time", + "Max time that the Entitlements key archive read can retry" + ], + [ + "entitlements_key_archive_retry_step", + "Step in m/s for the Entitlements key archive read retry" + ], + [ + "entitlementSystemOk", + "Set by the game to inform that the entitlement system is initialised" + ], + [ + "facebook_active", + "Are we allowed to show Facebook or not" + ], + [ + "facebook_delay", + "Delay before the Facebook calls start to Demonware. -1 means On-Demand and it will wait until the 'startfacebook' menu call" + ], + [ + "facebook_friends_active", + "Are we allowed to show Facebook Friends or not" + ], + [ + "facebook_friends_max_retry_time", + "Max time that the Facebook friends read can retry" + ], + [ + "facebook_friends_refresh_time", + "Time in seconds between Facebook friend refreshes" + ], + [ + "facebook_friends_retry_step", + "Step in m/s for the Facebook friends read retry" + ], + [ + "facebook_friends_showing_count", + "Contains how many facebook friends are being shown in the UI." + ], + [ + "facebook_friends_throttle_time", + "Throttle time between Facebook friend pages" + ], + [ + "facebook_max_retry_time", + "Max time that the Facebook authentication can retry" + ], + [ + "facebook_password", + "Facebook Password" + ], + [ + "facebook_password_asterisk", + "Facebook Password (Asterisk Version)" + ], + [ + "facebook_popup_text", + "Facebook Popup Text" + ], + [ + "facebook_retry_step", + "Step in m/s for the Facebook authentication retry" + ], + [ + "facebook_upload_photo_active", + "Are we allowed to Upload Photos to Facebook or not" + ], + [ + "facebook_upload_video_active", + "Are we allowed to Upload Videos to Facebook or not" + ], + [ + "facebook_username", + "Facebook Username" + ], + [ + "fixedtime", + "Use a fixed time rate for each frame" + ], + [ + "FoFIconMaxSize", + "Maximum size a Friend-or-Foe icon should ever grow to." + ], + [ + "FoFIconMinSize", + "Minimum size a Friend-or-Foe icon should ever shrink to." + ], + [ + "FoFIconScale", + "Base scale of Friend-or-Foe icons." + ], + [ + "FoFIconSpawnTimeDelay", + "How long to wait, after spawning, before showing the Friend-or-Foe icon on a player." + ], + [ + "FoFIconSpawnTimeFade", + "Length of the Friend-or-Foe icons' fade-ins." + ], + [ + "friendsCacheSteamFriends", + "Use cache of steam friends before querying steam api" + ], + [ + "friendsMaxSteamLookupsPerFrame", + "Number of steam friends to query steam status per frame when doing a refresh.\n" + ], + [ + "friendsWidgetMinimumRefreshTimer", + "Minimum delay before refreshing friends data if you aren't on the friends screen\n" + ], + [ + "fs_basegame", + "Base game name" + ], + [ + "fs_basepath", + "Base game path" + ], + [ + "fs_basepath_output", + "Base game path" + ], + [ + "fs_cdpath", + "CD path" + ], + [ + "fs_copyfiles", + "Copy all used files to another location" + ], + [ + "fs_debug", + "Enable file system debugging information" + ], + [ + "fs_game", + "Game data directory. Must be \"\" or a sub directory of 'mods/'. Use \"Mods\" menu to change." + ], + [ + "fs_homepath", + "Game home path" + ], + [ + "fs_ignoreLocalized", + "Ignore localized assets" + ], + [ + "fx_alphaThreshold", + "Don't draw billboard sprites, oriented sprites or tails with alpha below this threshold (0-256)." + ], + [ + "fx_cast_shadow", + "Enable transparency shadow mapping from script" + ], + [ + "fx_count", + "Debug effects count" + ], + [ + "fx_cull_elem_draw", + "Culls effect elems for drawing" + ], + [ + "fx_cull_elem_draw_flicker", + "Flicker DPVS culled effect elems" + ], + [ + "fx_cull_elem_spawn", + "Culls effect elems for spawning" + ], + [ + "fx_debugBolt", + "Debug effects bolt" + ], + [ + "fx_deferelem", + "Toggles deferred processing of elements instead of effects" + ], + [ + "fx_dpvs_cull_elem_draw", + "Culls effect elems for drawing using DPVS(2: ignore per-effect portal culling flag)" + ], + [ + "fx_draw", + "" + ], + [ + "fx_draw_omniLight", + "" + ], + [ + "fx_draw_simd", + "Draw effects using SIMD / Vector code." + ], + [ + "fx_draw_spotLight", + "" + ], + [ + "fx_drawClouds", + "Toggles the drawing of particle clouds" + ], + [ + "fx_enable", + "Toggles all effects processing" + ], + [ + "fx_flare", + "Toggles fx flare" + ], + [ + "fx_freeze", + "Freeze effects" + ], + [ + "fx_killEffectOnRewind", + "Causes effects that have been marked for a soft kill (fade out) to be killed immediately on a rewind." + ], + [ + "fx_lightGridSampleOffset", + "the length of effect sample's offset along X Axis" + ], + [ + "fx_mark_profile", + "Turn on FX profiling for marks (specify which local client, with '1' being the first.)" + ], + [ + "fx_marks", + "Toggles whether bullet hits leave marks" + ], + [ + "fx_marks_ents", + "Toggles whether bullet hits leave marks" + ], + [ + "fx_marks_nearlimit", + "Sets limit of number of decals that can exist at the same location (0 for unlimited)" + ], + [ + "fx_marks_smodels", + "Toggles whether bullet hits leave marks" + ], + [ + "fx_physicsImpactVelocityThreshold", + "Set the min normal velocity threshold in order for model physics fx to generate child impact effects." + ], + [ + "fx_profile", + "Turn on FX profiling (specify which local client, with '1' being the first.)" + ], + [ + "fx_profileFilter", + "Only show effects with this as a substring in FX profile" + ], + [ + "fx_profileFilterElemCountZero", + "Do not include FX that have a zero element count" + ], + [ + "fx_profileSkip", + "Skip the first n lines in FX profile (to see ones off bottom of screen)" + ], + [ + "fx_profileSort", + "Choose sort criteria for FX profiling" + ], + [ + "fx_showLightGridSampleOffset", + "show light grid sample offset in CreateFX mode" + ], + [ + "fx_visMinTraceDist", + "Minimum visibility trace size" + ], + [ + "g_ai", + "Enable AI" + ], + [ + "g_allowVote", + "Enable voting on this server" + ], + [ + "g_atmosFogDistanceScaleReadOnly", + "scale applied to scene distance used for atmospheric fog calculation" + ], + [ + "g_atmosFogEnabledReadOnly", + "use atmospheric fog" + ], + [ + "g_atmosFogExtinctionStrengthReadOnly", + "scale out scatter contribution of atmospheric fog" + ], + [ + "g_atmosFogHalfPlaneDistanceReadOnly", + "distance at which atmospheric fog contributes half the pixels color" + ], + [ + "g_atmosFogHazeSpreadReadOnly", + "directionality of haze (1ReadOnly = all forward scatter, 0ReadOnly = all back scatter)" + ], + [ + "g_atmosFogHazeStrengthReadOnly", + "portion of atmospheric fog density that is haze (0ReadOnly = all fog, 1ReadOnly = all haze)" + ], + [ + "g_atmosFogHeightFogBaseHeightReadOnly", + "height fog is full density at this world height and below" + ], + [ + "g_atmosFogHeightFogEnabledReadOnly", + "use height for atmospheric fog" + ], + [ + "g_atmosFogHeightFogHalfPlaneDistanceReadOnly", + "at this distance above g_atmosFogHeightFogBaseHeight, height fog density is half" + ], + [ + "g_atmosFogInScatterStrengthReadOnly", + "scale in scatter contribution of atmospheric fog" + ], + [ + "g_atmosFogSkyAngularFalloffEnabledReadOnly", + "use angular sky falloff for atmospheric fog" + ], + [ + "g_atmosFogSkyDistanceReadOnly", + "distance used for sky box when applying atmospheric fog" + ], + [ + "g_atmosFogSkyFalloffAngleRangeReadOnly", + "sky fog angular falloff angle range sky fog falls off over this range from the start angle" + ], + [ + "g_atmosFogSkyFalloffStartAngleReadOnly", + "sky fog angular falloff start angle (full strength fog at this angle)" + ], + [ + "g_atmosFogStartDistanceReadOnly", + "distance from camera at which fog contribution begins" + ], + [ + "g_atmosFogSunDirectionReadOnly", + "sun direction used when calculating atmospheric fog" + ], + [ + "g_banIPs", + "IP addresses to ban from playing" + ], + [ + "g_clonePlayerMaxVelocity", + "Maximum velocity in each axis of a cloned player\n(for death animations)" + ], + [ + "g_deadChat", + "Allow dead players to chat with living players" + ], + [ + "g_dropForwardSpeed", + "Forward speed of a dropped item" + ], + [ + "g_dropHorzSpeedRand", + "Random component of the initial horizontal speed of a dropped item" + ], + [ + "g_dropUpSpeedBase", + "Base component of the initial vertical speed of a dropped item" + ], + [ + "g_dropUpSpeedRand", + "Random component of the initial vertical speed of a dropped item" + ], + [ + "g_earthquakeEnable", + "Enable camera shake" + ], + [ + "g_fogColorIntensityReadOnly", + "HDR fog color intensity that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_fogColorReadOnly", + "Fog color that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_fogHalfDistReadOnly", + "" + ], + [ + "g_fogMaxOpacityReadOnly", + "Fog max opacity that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_fogStartDistReadOnly", + "" + ], + [ + "g_friendlyfireDist", + "Maximum range for disabling fire at a friendly" + ], + [ + "g_friendlyNameDist", + "Maximum range for seeing a friendly's name" + ], + [ + "g_gametype", + "The current game mode" + ], + [ + "g_giveAll", + "Give all weapons" + ], + [ + "g_hardcore", + "Hardcore?" + ], + [ + "g_heightFogBaseHeightReadOnly", + "height fog is full density at this world height and below" + ], + [ + "g_heightFogEnabledReadOnly", + "use height for normal/sun fog, set in the most recent call to \"setexpfog\"" + ], + [ + "g_heightFogHalfPlaneDistanceReadOnly", + "at this distance above g_heightFogBaseHeight, height fog density is half, set in the most recent call to \"setexpfog\"" + ], + [ + "g_inactivity", + "Time delay before player is kicked for inactivity" + ], + [ + "g_keyboarduseholdtime", + "The time to hold down the 'use' button to activate a 'use' command on a keyboard" + ], + [ + "g_knockback", + "Maximum knockback" + ], + [ + "g_lagged_damage_threshold", + "Threshold (ms) beyond which we will report a damaged lagged client to the tracker leaderboards." + ], + [ + "g_listEntity", + "List the entities" + ], + [ + "g_mantleBlockTimeBuffer", + "Time that the client think is delayed after mantling" + ], + [ + "g_maxDroppedWeapons", + "Maximum number of dropped weapons" + ], + [ + "g_minGrenadeDamageSpeed", + "Minimum speed at which getting hit be a grenade will do damage (not the grenade explosion damage)" + ], + [ + "g_oldschool", + "Oldschool?" + ], + [ + "g_password", + "Password" + ], + [ + "g_playerCollisionEjectSpeed", + "Speed at which to push intersecting players away from each other" + ], + [ + "g_ScoresColor_Allies", + "Allies team color on scoreboard" + ], + [ + "g_ScoresColor_Axis", + "Axis team color on scoreboard" + ], + [ + "g_ScoresColor_EnemyTeam", + "Enemy team color on scoreboard" + ], + [ + "g_ScoresColor_Free", + "Free Team color on scoreboard" + ], + [ + "g_ScoresColor_MyParty", + "Player team color on scoreboard when in the same party" + ], + [ + "g_ScoresColor_MyTeam", + "Player team color on scoreboard" + ], + [ + "g_ScoresColor_Spectator", + "Spectator team color on scoreboard" + ], + [ + "g_scriptMainMenu", + "" + ], + [ + "g_sunFogBeginFadeAngleReadOnly", + "Angle from the sun direction to start fade away from the sun fog color that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogColorIntensityReadOnly", + "HDR sun fog color intensity that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogColorReadOnly", + "Sun fog color that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogDirReadOnly", + "Sun fog direction that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogEnabledReadOnly", + "Sun fog was enabled in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogEndFadeAngleReadOnly", + "Angle from the sun direction to end fade away from the sun fog color that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_sunFogScaleReadOnly", + "Distance scale in the sun fog direction that was set in the most recent call to \"setexpfog\"" + ], + [ + "g_TeamIcon_Allies", + "Icon name for the allied scores banner" + ], + [ + "g_TeamIcon_Axis", + "Icon name for the axis scores banner" + ], + [ + "g_TeamIcon_EnemyAllies", + "Icon name for the allied scores banner" + ], + [ + "g_TeamIcon_EnemyAxis", + "Icon name for the axis scores banner when you're on axis." + ], + [ + "g_TeamIcon_Free", + "Icon name for the scores of players with no team" + ], + [ + "g_TeamIcon_MyAllies", + "Icon name for the allied scores banner" + ], + [ + "g_TeamIcon_MyAxis", + "Icon name for the axis scores banner when you're on axis." + ], + [ + "g_TeamIcon_Spectator", + "Icon name for the scores of players who are spectators" + ], + [ + "g_TeamName_Allies", + "Allied team name" + ], + [ + "g_TeamName_Axis", + "Axis team name" + ], + [ + "g_TeamTitleColor_EnemyTeam", + "Enemy team color for titles" + ], + [ + "g_TeamTitleColor_MyTeam", + "Player team color for titles" + ], + [ + "g_TeamTitleColor_Spectator", + "Spectator team color for titles" + ], + [ + "g_useholdspawndelay", + "Time in milliseconds that the player is unable to 'use' after spawning" + ], + [ + "g_useholdtime", + "Time to hold the 'use' button to activate use on a gamepad" + ], + [ + "g_voiceChatTalkingDuration", + "Time after the last talk packet was received that the player is considered by the\nserver to still be talking in milliseconds" + ], + [ + "g_gravity", + "Game gravity in inches per second squared" + ], + [ + "g_speed", + "changes the speed of the player" + ], + [ + "gamedate", + "The date compiled" + ], + [ + "gamedvr_active", + "Are we allowed to enable GameDVR or not" + ], + [ + "gameMode", + "Current gameMode" + ], + [ + "gamename", + "The name of the game" + ], + [ + "glass_angular_vel", + "Sets the range of angular velocities used by new glass pieces" + ], + [ + "glass_beamDamage", + "The amount of damage beam attacks do to glass" + ], + [ + "glass_break", + "Toggle whether or not glass breaks when shot" + ], + [ + "glass_crack_pattern_scale", + "The scale applied to the radius used for the crack pattern" + ], + [ + "glass_damageToDestroy", + "The amount of damage a piece of glass must take to look damaged" + ], + [ + "glass_damageToWeaken", + "The amount of damage a piece of glass must take to look damaged" + ], + [ + "glass_edge_angle", + "Sets the range of angle deflections used by new glass pieces on a supported edge" + ], + [ + "glass_fall_delay", + "Sets how long a heavy piece supported by a single edge waits before falling, based on glass_fall_ratio" + ], + [ + "glass_fall_gravity", + "Gravity for falling pieces of glass" + ], + [ + "glass_fall_ratio", + "Ratio of piece area to supporting edge length squared. Below the min, the piece never falls." + ], + [ + "glass_fringe_maxcoverage", + "The maximum portion of the original piece of glass that is allowed to remain after the glass shatters" + ], + [ + "glass_fringe_maxsize", + "The maximum area for an edge piece of glass when shattering. Pieces larger than this will be broken into smaller ones" + ], + [ + "glass_fx_chance", + "Chance to play an effect on a small piece of glass when it hits the ground" + ], + [ + "glass_hinge_friction", + "Friction used by moving glass pieces when joined like a hinge to a frame" + ], + [ + "glass_linear_vel", + "Sets the range of linear velocities used by new glass pieces" + ], + [ + "glass_max_pieces_per_frame", + "Maximum number of pieces to create in one frame. This is a guideline and not a hard limit." + ], + [ + "glass_max_shatter_fx_per_frame", + "Maximum number of shatter effects to play in one frame This is a guideline and not a hard limit." + ], + [ + "glass_meleeDamage", + "The amount of damage melee attacks do to glass" + ], + [ + "glass_physics_chance", + "The chance for a given shard of glass to use physics" + ], + [ + "glass_physics_maxdist", + "The maximum distance of a glass piece from the player to do physics" + ], + [ + "glass_radiusDamageMultiplier", + "The amount to scale damage to glass from grenades and other explosions" + ], + [ + "glass_shard_maxsize", + "The maximum area for a flying piece of glass when shattering. Pieces larger than this will be broken into smaller ones" + ], + [ + "glass_shattered_scale", + "The scale of the shattered glass material" + ], + [ + "glass_trace_interval", + "The length of time, in milliseconds, between glass piece traces" + ], + [ + "gpad_button_deadzone", + "Game pad button deadzone threshhold" + ], + [ + "gpad_dpadDebounceTime", + "" + ], + [ + "gpad_menu_scroll_delay_first", + "Menu scroll key-repeat delay, for the first repeat, in milliseconds" + ], + [ + "gpad_menu_scroll_delay_rest_accel", + "Menu scroll key-repeat delay acceleration from start to end, for repeats after the first, in milliseconds per repeat" + ], + [ + "gpad_menu_scroll_delay_rest_end", + "Menu scroll key-repeat delay end, for repeats after the first, in milliseconds" + ], + [ + "gpad_menu_scroll_delay_rest_start", + "Menu scroll key-repeat delay start, for repeats after the first, in milliseconds" + ], + [ + "gpad_stick_deadzone_max", + "Game pad maximum stick deadzone" + ], + [ + "gpad_stick_deadzone_min", + "Game pad minimum stick deadzone" + ], + [ + "gpad_stick_pressed", + "Game pad stick pressed threshhold" + ], + [ + "gpad_stick_pressed_hysteresis", + "Game pad stick pressed no-change-zone around gpad_stick_pressed to prevent bouncing" + ], + [ + "groupDownloadInterval", + "Minimum interval to wait before getting new group counts" + ], + [ + "groupUploadInterval", + "Minimum interval to wait before setting new group counts" + ], + [ + "heli_barrelMaxVelocity", + "" + ], + [ + "heli_barrelRotation", + "How much to rotate the turret barrel when a helicopter fires" + ], + [ + "heli_barrelSlowdown", + "" + ], + [ + "hiDef", + "True if the game video is running in high-def." + ], + [ + "httpnetfs", + "Stream fastfiles from the specified http server" + ], + [ + "hud_bloodOverlayLerpRate", + "Rate at which blood overlay fades out" + ], + [ + "hud_deathQuoteFadeTime", + "The time for the death quote to fade" + ], + [ + "hud_drawHud", + "" + ], + [ + "hud_enable", + "Enable hud elements" + ], + [ + "hud_fade_ammodisplay", + "The time for the ammo display to fade in seconds" + ], + [ + "hud_fade_compass", + "The time for the compass to fade in seconds" + ], + [ + "hud_fade_healthbar", + "The time for the health bar to fade in seconds" + ], + [ + "hud_fade_offhand", + "The time for the offhand weapons to fade in seconds" + ], + [ + "hud_fade_sprint", + "The time for the sprint meter to fade in seconds" + ], + [ + "hud_flash_period_offhand", + "Offhand weapons flash period on changing weapon" + ], + [ + "hud_flash_time_offhand", + "Offhand weapons flash duration on changing weapon" + ], + [ + "hud_health_pulserate_critical", + "The pulse rate of the 'critical' pulse effect" + ], + [ + "hud_health_pulserate_injured", + "The pulse rate of the 'injured' pulse effect" + ], + [ + "hud_health_startpulse_critical", + "The health level at which to start the 'injured' pulse effect" + ], + [ + "hud_health_startpulse_injured", + "The health level at which to start the 'injured' pulse effect" + ], + [ + "hudElemPausedBrightness", + "Brightness of the hudelems when the game is paused." + ], + [ + "hudOutlineDuringADS", + "Turn on the HUD outline (green for friendly, red for enemy) when you are pointing at a player while in ADS." + ], + [ + "igs_config_dw_filename", + "Name of the configuration file on DW Publisher storage." + ], + [ + "igs_sosp", + "Show Original Season Pass" + ], + [ + "igs_td", + "Show Trial DLC" + ], + [ + "igs_version", + "Version id for the In-game store. Set version number to 0, to disable update." + ], + [ + "in_mouse", + "Initialize the mouse drivers" + ], + [ + "inpubliclobby", + "Currently in a public lobby" + ], + [ + "intro", + "Intro movie should play" + ], + [ + "inventory_addEntitlementsToLocalInventory", + "bypass the exchange and directly add entitlements to the local cached player inventory." + ], + [ + "inventory_enabled", + "enable/disable the inventory feature" + ], + [ + "inventory_enableEntitlementDLCScanning", + "enable scanning of entitlement DLC." + ], + [ + "inventory_enableRevoke", + "Enable revoke on purchases you no longer have rights to." + ], + [ + "inventory_exchangeEnabled", + "enable/disable the 1st party exchange feature" + ], + [ + "inventory_exchangeMaxConsumablesPerBoot", + "The maximum number of the same consumable that can be added per boot." + ], + [ + "inventory_exchangeRetryBaseMS", + "The amount to delay with each subsequent retry as base value to be multiplied by an exponential factor 1000 = (1000, 2000, 4000, 8000 etc.)" + ], + [ + "inventory_exchangeRetryByRound", + "enable/disable retry with exponential delay one round of exchanges at a time (1, 2, 3, 1, 2, 3, 1, 2, 3 etc.), vs exponential delay per exchange (1, 1, 1, 2, 2, 2, 3, 3, 3 etc.)" + ], + [ + "inventory_exchangeRetryMax", + "The number of times to retry for each exchange." + ], + [ + "inventory_excludeEntitlementDLCScanning", + "exclude scanning of entitlement DLC (comma separated list of ids to exclude)." + ], + [ + "inventory_ignoreDWPushNotification_claimAchievement", + "ignore incoming push notifications from DW to signal item update" + ], + [ + "inventory_ignoreDWPushNotification_itemUpdate", + "ignore incoming push notifications from DW to signal item update" + ], + [ + "inventory_taskDefaultTimeout", + "default timeout for inventory tasks (in seconds)" + ], + [ + "inventory_taskExchangeTimeout", + "default timeout for inventory exchange tasks (in seconds)" + ], + [ + "inventory_taskGetTimeout", + "default timeout for inventory GET tasks (in seconds)" + ], + [ + "inventory_triggerExchangeOnContentMount", + "trigger an exchange after mounting new content packs" + ], + [ + "inventory_triggerExchangeOnStoreExit", + "trigger an exchange when exiting the store" + ], + [ + "iotd_active", + "Is the IOTD system enabled" + ], + [ + "iotd_retry", + "Can the IOTD system retry fetching data from Demonware" + ], + [ + "jump_slowdownEnable", + "Slow player movement after jumping" + ], + [ + "jump_height", + "The maximum height of a player\\'s jump" + ], + [ + "laserDebug", + "Enables the display of various debug info." + ], + [ + "laserLightRadius", + "undefined" + ], + [ + "laserRadius", + "undefined" + ], + [ + "lb_filter", + "Filter applied to the leaderboard display: ('none','friends','facebook_friends')" + ], + [ + "lb_group", + "GroupID applied to the leaderboard display" + ], + [ + "lb_maxrows", + "Maximum number of rows to fetch" + ], + [ + "lb_minrefresh", + "Minimum time (in seconds) between leaderboard fetches" + ], + [ + "lb_readDelay", + "Delay time between reads(in milliseconds) between leaderboard fetches" + ], + [ + "lb_throttle_time", + "Lobby throttling amount" + ], + [ + "lb_times_in_window", + "Lobby throttling window amount" + ], + [ + "lb_window", + "Lobby throttling window" + ], + [ + "live_qosec_firstupdatems", + "MS to wait before deciding to early out qos" + ], + [ + "live_qosec_lastupdatems", + "MS since last update required to early out qos" + ], + [ + "live_qosec_minpercent", + "Minimum percentage of probe results required before early outing qos" + ], + [ + "live_qosec_minprobes", + "Minimum probe results required before early outing qos" + ], + [ + "liveanticheatunknowndvar", + "Live Anti Cheat Unknown Dvar" + ], + [ + "livestreaming_active", + "Are we allowed to enable LiveStreaming or not" + ], + [ + "loading_sre_fatal", + "Loading errors prevent level from loading." + ], + [ + "lobby_animationSpeed", + "How long each frame of the animation should draw, in milliseconds" + ], + [ + "lobby_animationTilesHigh", + "How many animation tiles high is the searching_for_player texture" + ], + [ + "lobby_animationTilesWide", + "How many animation tiles wide is the searching_for_player texture" + ], + [ + "lobby_numAnimationFrames", + "How many animation tiles are in the searching_for_player texture" + ], + [ + "lobby_searchingPartyColor", + "The color to show that we're searching for that slot when shown in lobbies" + ], + [ + "loc_language", + "Language" + ], + [ + "loc_translate", + "Enable translations" + ], + [ + "log_host_migration_chance", + "The % chance of host migration results telemetry" + ], + [ + "log_party_state", + "Log party state updates to Black Box system" + ], + [ + "lowAmmoWarningColor1", + "Color 1 of 2 to oscilate between" + ], + [ + "lowAmmoWarningColor2", + "Color 2 of 2 to oscilate between" + ], + [ + "lowAmmoWarningNoAmmoColor1", + "Like lowAmmoWarningColor1, but when no ammo." + ], + [ + "lowAmmoWarningNoAmmoColor2", + "lowAmmoWarningColor2, but when no ammo." + ], + [ + "lowAmmoWarningNoReloadColor1", + "Like lowAmmoWarningColor1, but when no ammo." + ], + [ + "lowAmmoWarningNoReloadColor2", + "lowAmmoWarningColor2, but when no ammo." + ], + [ + "lowAmmoWarningPulseFreq", + "Frequency of the pulse (oscilation between the 2 colors)" + ], + [ + "lowAmmoWarningPulseMax", + "Min of oscilation range: 0 is color1 and 1.0 is color2. Can be < 0, and the wave will clip at 0." + ], + [ + "lowAmmoWarningPulseMin", + "Max of oscilation range: 0 is color1 and 1.0 is color2. Can be > 1.0, and the wave will clip at 1.0." + ], + [ + "lsp_enumertion_max_retry_time", + "Max time that the LSP enumeration can retry" + ], + [ + "lsp_enumertion_retry_step", + "Step in m/s for the LSP enumeration retry" + ], + [ + "lui_demoMode", + "Check if the game is in demo mode." + ], + [ + "lui_FFotDSupportEnabled", + "Enables lui to update itself via the ffotd" + ], + [ + "lui_hud_motion_angle_ease_speed", + "Hud motion ease percentage of degrees per second" + ], + [ + "lui_hud_motion_bob_scale", + "Hud motion bob scale" + ], + [ + "lui_hud_motion_enabled", + "Enable hud motion" + ], + [ + "lui_hud_motion_perspective", + "value for hud motion perspective transform in pixels" + ], + [ + "lui_hud_motion_rotation_max", + "Hud motion rotation max" + ], + [ + "lui_hud_motion_rotation_scale", + "Hud motion rotation scale" + ], + [ + "lui_hud_motion_trans_ease_speed", + "Hud motion ease percentage of pixels per second" + ], + [ + "lui_hud_motion_translation_max", + "Hud motion translation max" + ], + [ + "lui_hud_motion_translation_scale", + "Hud motion translation scale" + ], + [ + "lui_loot_duplicateredemption", + "Whether a user can redeem duplicate loot items in the Armory" + ], + [ + "LUI_MemErrorsFatal", + "Out of memory errors cause drops when true, reinits the UI system if false" + ], + [ + "lui_menuFlowEnabled", + "Enables LUI menu flow" + ], + [ + "lui_mlg_rules_unlocked", + "Whether MLG rules are unlocked" + ], + [ + "lui_priv_lobby_team", + "Team selected in private match lobby" + ], + [ + "lui_splitscreensignin_menu", + "Enables the LUI splitscreensignin menu" + ], + [ + "lui_splitscreenupscaling", + "Force splitscreen upscaling off/on (-1 off, 1 on) -- requires map change" + ], + [ + "lui_systemlink_menu", + "Enables the LUI systemlink menu" + ], + [ + "lui_waitingforgavelmessagesconfirmed", + "" + ], + [ + "lui_waitingfornetworktype", + "value is LuiWaitingForNetworkType enum" + ], + [ + "lui_waitingforonlinedatafetch_controller", + "the controller index that is fetching the online stats data" + ], + [ + "LUI_WorkerCmdGC", + "Dev-only flag to enable/disable LUI workerCmd GC thread" + ], + [ + "lui_xboxlive_menu", + "Enables the LUI xboxlive menu" + ], + [ + "m_filter", + "Allow mouse movement smoothing" + ], + [ + "m_forward", + "Forward speed in units per second" + ], + [ + "m_pitch", + "Default pitch" + ], + [ + "m_side", + "Sideways motion in units per second" + ], + [ + "m_yaw", + "Default yaw" + ], + [ + "manifestfs", + "Use a manifest file to read segmented fastfiles" + ], + [ + "mapname", + "The current map name" + ], + [ + "mapPackMPGroupFourFlags", + "Map pack flags that comprise MP ala carte map pack 1" + ], + [ + "mapPackMPGroupFreeFlags", + "Map pack flags that comprise the free MP ala carte map pack" + ], + [ + "mapPackMPGroupOneFlags", + "Map pack flags that comprise MP ala carte map pack 1" + ], + [ + "mapPackMPGroupThreeFlags", + "Map pack flags that comprise MP ala carte map pack 1" + ], + [ + "mapPackMPGroupTwoFlags", + "Map pack flags that comprise MP ala carte map pack 1" + ], + [ + "marketing_active", + "Enable/Disable Marketing Comms" + ], + [ + "marketing_refresh_time", + "Time in seconds to wait before refreshing marketing messages from demonware" + ], + [ + "marketing_motd_once_per_day", + "Display motd once per day" + ], + [ + "matchdata_active", + "Are match data uploads enabled" + ], + [ + "matchdata_maxcompressionbuffer", + "Max SP match data compression buffer to use (in bytes)" + ], + [ + "matchmaking_debug", + "Enable matchmaking debugging information" + ], + [ + "max_ping_threshold_good", + "max ping value to be considered as good" + ], + [ + "max_ping_threshold_medium", + "max ping value to be considered as medium" + ], + [ + "max_xp_per_match", + "" + ], + [ + "maxPrestigeOverride", + "Overrides the maximum prestige level, disabled if 0." + ], + [ + "maxVoicePacketsPerSec", + "" + ], + [ + "maxVoicePacketsPerSecForServer", + "" + ], + [ + "mdsd", + "enable match data stat delta logging?" + ], + [ + "melee_debug", + "Turn on debug lines for melee traces" + ], + [ + "mis_cheat", + "Set when level unlock cheat is performed" + ], + [ + "migration_dvarErrors", + "Whether to check for illegal script dvar changes." + ], + [ + "min_wait_for_players", + "" + ], + [ + "missileRemoteFOV", + "Remote missile-cam, FOV to use." + ], + [ + "missileRemoteSteerPitchRange", + "Remote-controlled missile allowed up/down range. To keep players from steering missiles above the horizon." + ], + [ + "missileRemoteSteerPitchRate", + "Remote-controlled missile up/down steering speed." + ], + [ + "missileRemoteSteerYawRate", + "Remote-controlled missile left/right steering speed." + ], + [ + "mm_aw_onboarding_rank", + "If a player is at or above this rank in AW, she is not considered onboarding" + ], + [ + "mm_blops2_onboarding_skill", + "Used to determine onboarding status for Ghosts" + ], + [ + "mm_bucket_option", + "if using bucketing, describes what pools can join with each other" + ], + [ + "mm_country_code", + "country code" + ], + [ + "mm_ghosts_onboarding_skill", + "Used to determine onboarding status for Ghosts" + ], + [ + "mm_past_title_stats_source", + "what type of information do we use from the past titles (rank vs kdr, etc)" + ], + [ + "mm_skill_calculation_type", + "" + ], + [ + "mm_skill_enforcement", + "" + ], + [ + "mm_skill_lower_bucket", + "lower mm skill bucket" + ], + [ + "mm_skill_param_delta", + "Delta parameter for Johnson SU distribution curve" + ], + [ + "mm_skill_param_gamma", + "Gamma parameter for Johnson SU distribution curve" + ], + [ + "mm_skill_param_lambda", + "Lambda parameter for Johnson SU distribution curve" + ], + [ + "mm_skill_param_xi", + "Xi parameter for Johnson SU distribution curve" + ], + [ + "mm_skill_strict_enforcement", + "" + ], + [ + "mm_skill_type", + "mm skill type" + ], + [ + "mm_skill_upper_bucket", + "upper mm skill bucket" + ], + [ + "mm_sph_1", + "" + ], + [ + "mm_sph_10", + "" + ], + [ + "mm_sph_11", + "" + ], + [ + "mm_sph_12", + "" + ], + [ + "mm_sph_13", + "" + ], + [ + "mm_sph_14", + "" + ], + [ + "mm_sph_15", + "" + ], + [ + "mm_sph_16", + "" + ], + [ + "mm_sph_17", + "" + ], + [ + "mm_sph_18", + "" + ], + [ + "mm_sph_2", + "" + ], + [ + "mm_sph_3", + "" + ], + [ + "mm_sph_4", + "" + ], + [ + "mm_sph_5", + "" + ], + [ + "mm_sph_6", + "" + ], + [ + "mm_sph_7", + "" + ], + [ + "mm_sph_8", + "" + ], + [ + "mm_sph_9", + "" + ], + [ + "mm_split_population", + "" + ], + [ + "mm_test_type", + "mm test type" + ], + [ + "mm_use_onboarding_skill", + "If set, we will for the player's skill to be the lowest available" + ], + [ + "monkeytoy", + "Restrict console access" + ], + [ + "motd", + "" + ], + [ + "motd_store_link", + "Add a link to the in-game store in the MOTD popup" + ], + [ + "motionTrackerBlurDuration", + "The motion blur duration for motion tracker dots" + ], + [ + "motionTrackerCenterX", + "" + ], + [ + "motionTrackerCenterY", + "" + ], + [ + "motionTrackerPingFadeTime", + "How long an enemy is visible on the motion tracker after being detected" + ], + [ + "motionTrackerPingPitchAddPerEnemy", + "The added percentage of pitch for each additional enemy that is detected (final pitch = base pitch * (1 + enemy count * this))" + ], + [ + "motionTrackerPingPitchBase", + "The pitch of the motion tracker sound for a nearby enemy" + ], + [ + "motionTrackerPingPitchNearby", + "The pitch of the motion tracker sound for a nearby enemy" + ], + [ + "motionTrackerPingSize", + "The width and height of the motion tracker's enemy indicators as a percentage of motion tracker scale" + ], + [ + "msg_field_delta2", + "enable the delta2 serialization." + ], + [ + "name", + "Player name" + ], + [ + "net_authPort", + "UDP port for Steam authentication" + ], + [ + "net_ip", + "Network IP Address" + ], + [ + "net_masterServerPort", + "UDP port for Steam server browser" + ], + [ + "net_noudp", + "Disable UDP" + ], + [ + "net_port", + "Network port" + ], + [ + "net_socksEnabled", + "Enable network sockets" + ], + [ + "net_socksPassword", + "Network socket password" + ], + [ + "net_socksPort", + "Network socket port" + ], + [ + "net_socksServer", + "Network socket server" + ], + [ + "net_socksUsername", + "Network socket username" + ], + [ + "nextmap", + "Next map to play" + ], + [ + "nightVisionDisableEffects", + "" + ], + [ + "nightVisionFadeInOutTime", + "How long the fade to/from black lasts when putting on or removing night vision goggles." + ], + [ + "nightVisionPowerOnTime", + "How long the black-to-nightvision fade lasts when turning on the goggles." + ], + [ + "num_available_map_packs", + "Number of map packs available for this platform" + ], + [ + "objectiveFontSize", + "Onscreen Objective Pointer - Fontsize of the icon's text." + ], + [ + "objectiveTextOffsetY", + "Onscreen Objective Pointer - Offset of the icon's text." + ], + [ + "onlinegame", + "Current game is an online game with stats, custom classes, unlocks" + ], + [ + "overrideNVGModelWithKnife", + "When true, nightvision animations will attach the weapDef's knife model instead of the night vision goggles." + ], + [ + "overtimeTimeLimit", + "" + ], + [ + "p2pAuth_allow_steam_p2p", + "Determines if Steam based P2P is allowed if direct connectivity is not possible." + ], + [ + "p2pAuth_disable", + "" + ], + [ + "paintExplosionRadius", + "The radius of the paint grenade explosion" + ], + [ + "painVisionLerpOutRate", + "Rate at which pain vision effect lerps out" + ], + [ + "painVisionTriggerHealth", + "Health (0 to 1) that will trigger the pain vision effect" + ], + [ + "party_alternateMapVoteStatus", + "Alternate map vote progress" + ], + [ + "party_dlc_only_intended_mappacks", + "When selecting next map for rotation, should any maps not in the intended search be excluded, even if available?" + ], + [ + "party_firstSubpartyIndex", + "Determines sort order and coloring of parties in lobbies. Randomly set by code. Dvar provided for debugging." + ], + [ + "party_followPartyHostOutOfGames", + "Whether we should follow our party host out of a game in progress." + ], + [ + "party_gamesize", + "Current maximum game size" + ], + [ + "party_gametype", + "Current gametype" + ], + [ + "party_inactiveHeartbeatPeriod", + "How often to send inactive party keep alive packets in milliseconds." + ], + [ + "party_initial_dlc_search_timer", + "Time until DLC enabled search should show an error dialog suggesting the user consider going to non dlc search" + ], + [ + "party_IsLocalClientSelected", + "True if selected player is a local client. Only valid when used with party feeders." + ], + [ + "party_kickplayerquestion", + "String to store the question about kicking the selected player" + ], + [ + "party_listFocus", + "True when an item in the party list has focus." + ], + [ + "party_lobbyPlayerCount", + "Number of players currently in the party/lobby" + ], + [ + "party_mapname", + "Current map name" + ], + [ + "party_mapvote_entrya_mapname", + "Primary map vote entry name" + ], + [ + "party_mapvote_entryb_mapname", + "Alternate map vote entry name" + ], + [ + "party_matchedPlayerCount", + "Number of matched players before revealing their true names" + ], + [ + "party_maxplayers", + "Maximum number of players in a party" + ], + [ + "party_maxPrivatePartyPlayers", + "Max number of players allowed in a private party." + ], + [ + "party_maxTeamDiff", + "Maximum difference allowed between teams before starting a match" + ], + [ + "party_membersMissingMapPack", + "Whether any party member is missing one of the enabled map packs. Only valid after running partyUpdateMissingMapPackDvar" + ], + [ + "party_minLobbyTime", + "Minimum time (in seconds) for a lobby to be open before auto starting a match" + ], + [ + "party_minplayers", + "Minimum number of players in a party" + ], + [ + "party_nextMapVoteStatus", + "Next map vote progress" + ], + [ + "party_partyPlayerCount", + "Number of players currently in the party/lobby" + ], + [ + "party_partyPlayerCountNum", + "Number of players currently in the party/lobby" + ], + [ + "party_playersCoop", + "True if the current playlist places all players on the allies team" + ], + [ + "party_playervisible", + "Whether selected player in party is showing true info or not. Only valid when used with party feeders." + ], + [ + "party_randomMapVoteStatus", + "Random map vote progress" + ], + [ + "party_resume_dlc_search_timer", + "Time until DLC enabled search should show an error dialog suggesting the user consider going to non dlc search" + ], + [ + "party_search_for_dlc_content", + "search for DLC enabled games else standard maps only will be used" + ], + [ + "party_selectedIndex", + "Current selected player index in the feeder." + ], + [ + "party_selectedIndexChangedTime", + "Time stamp in milliseconds when the selected index last changed." + ], + [ + "party_statusString", + "Party Status (localized )" + ], + [ + "party_teambased", + "True if the current playlist is team based" + ], + [ + "party_teamsVisible", + "teams are visible in UI" + ], + [ + "party_timer", + "Time until game begins in seconds, for UI display" + ], + [ + "partyChatDisallowed", + "Whether to disallow ps4 Live Party Chat" + ], + [ + "partymigrate_broadcast_interval", + "Time between telling people who the new host is when migrating lobby" + ], + [ + "partymigrate_cpuBonusPing", + "The ping rewarded to a CPU meeting the bonus threshold when scoring hosts." + ], + [ + "partymigrate_cpuBonusThreshold", + "The required excess %CPU speed to get a bonus when scoring hosts." + ], + [ + "partymigrate_logResults", + "Instrumentation - Whether to log the best host calculation results. 0 is disabled, 1 for games, 2 for parties, 3 for both." + ], + [ + "partymigrate_makeHostTimeout", + "Time before giving up on makeHost requests" + ], + [ + "partymigrate_pingtest_active", + "Whether to do a ping test when lobby migrating" + ], + [ + "partymigrate_pingtest_filterThreshold", + "Acceptable ping difference from best ping host for host selection (ms)" + ], + [ + "partymigrate_pingtest_minThreshold", + "Minimum meaningful ping delta for host selection (ms)" + ], + [ + "partymigrate_pingtest_retry", + "Time between ping tests when migrating lobby" + ], + [ + "partymigrate_pingtest_timeout", + "Time to give up on ping tests when migrating lobby" + ], + [ + "partymigrate_preferSameHost", + "When possible, prefer keeping the same host on migrations" + ], + [ + "partymigrate_selectiontime", + "Time before requiring a host selection when migrating lobby" + ], + [ + "partymigrate_timeout", + "Time before giving up on lobby migration if we hear nothing" + ], + [ + "partymigrate_timeoutmax", + "Time before giving up on lobby migration if we hear nothing" + ], + [ + "partymigrate_uploadtest_minThreshold", + "Minimum meaningful upload bandwidth delta for host selection (bps)" + ], + [ + "password", + "" + ], + [ + "perk_armorPiercingDamage", + "" + ], + [ + "perk_blastShieldScale", + "" + ], + [ + "perk_blastShieldScale_HC", + "" + ], + [ + "perk_bulletPenetrationMultiplier", + "Multiplier for extra bullet penetration" + ], + [ + "perk_extendedMagsMGAmmo", + "Number of extra bullets per clip for machine gun weapons with the extended mags perk." + ], + [ + "perk_extendedMagsPistolAmmo", + "Number of extra bullets per clip for pistol weapons with the extended mags perk." + ], + [ + "perk_extendedMagsRifleAmmo", + "Number of extra bullets per clip for rifle weapons with the extended mags perk." + ], + [ + "perk_extendedMagsSMGAmmo", + "Number of extra bullets per clip for sub machine gun weapons with the extended mags perk." + ], + [ + "perk_extendedMagsSpreadAmmo", + "Number of extra bullets per clip for spread weapons with the extended mags perk." + ], + [ + "perk_extraBreath", + "Number of extra seconds a player can hold his breath" + ], + [ + "perk_fastClimb", + "Scales the ladder climb time" + ], + [ + "perk_fastRegenRate", + "" + ], + [ + "perk_fastRegenWaitMS", + "" + ], + [ + "perk_fastSnipeScale", + "Scales the recovery speed of the view kick when using a sniper." + ], + [ + "perk_footstepVolumeAlly", + "" + ], + [ + "perk_footstepVolumeEnemy", + "" + ], + [ + "perk_footstepVolumePlayer", + "" + ], + [ + "perk_footstepVolumeSelectiveHearingMin", + "" + ], + [ + "perk_improvedExtraBreath", + "Number of extra seconds a player can hold his breath" + ], + [ + "perk_lightWeightViewBobScale", + "Scale for first person view movement while lightweight." + ], + [ + "perk_numExtraLethal", + "Number of extra lethal grenades" + ], + [ + "perk_numExtraTactical", + "Number of extra tactical grenades" + ], + [ + "perk_parabolicAngle", + "Eavesdrop perk's effective FOV angle" + ], + [ + "perk_parabolicIcon", + "Eavesdrop icon to use when displaying eavesdropped voice chats" + ], + [ + "perk_parabolicRadius", + "Eavesdrop perk's effective radius" + ], + [ + "perk_quickDrawSpeedScale", + "Scales the 'Hip to ADS' transition speed." + ], + [ + "perk_quickDrawSpeedScaleSniper", + "Scales the 'Hip to ADS' transition speed." + ], + [ + "perk_scavengerMode", + "" + ], + [ + "perk_sprintMultiplier", + "Multiplier for player_sprinttime" + ], + [ + "perk_sprintRecoveryMultiplierActual", + "" + ], + [ + "perk_sprintRecoveryMultiplierVisual", + "" + ], + [ + "perk_weapRateMultiplier", + "Percentage of weapon firing rate to use" + ], + [ + "perk_weapReloadMultiplier", + "Percentage of weapon reload time to use" + ], + [ + "perk_weapSpreadMultiplier", + "Percentage of weapon spread to use" + ], + [ + "phys_autoDisableLinear", + "A body must have linear velocity less than this to be considered idle." + ], + [ + "phys_autoDisableTime", + "The amount of time a body must be idle for it to go to sleep." + ], + [ + "phys_bulletSpinScale", + "Scale of the effective offset from the center of mass for the bullet impacts." + ], + [ + "phys_bulletUpBias", + "Up Bias for the direction of the bullet impact." + ], + [ + "phys_dragAngular", + "The amount of angular drag, applied globally" + ], + [ + "phys_dragLinear", + "The amount of linear drag, applied globally" + ], + [ + "phys_gravity", + "Physics gravity in units/sec^2." + ], + [ + "phys_gravity_ragdoll", + "Physics gravity used by ragdolls in units/sec^2." + ], + [ + "phys_gravityChangeWakeupRadius", + "The radius around the player within which objects get awakened when gravity changes" + ], + [ + "phys_jitterMaxMass", + "Maximum mass to jitter - jitter will fall off up to this mass" + ], + [ + "physVeh_explodeForce", + "The force applied to physics vehicles due to explosions" + ], + [ + "physVeh_explodeSpinScale", + "The max (random) offset from the center of mass at which splash damage applies its force" + ], + [ + "physVeh_jump", + "Set to 1 to make a vehicle jump." + ], + [ + "physVeh_minContactImpulse", + "The minimum impulse needed to register a contact notification" + ], + [ + "physVeh_minImpactMomentum", + "The minimum collision momentum needed to register an impact" + ], + [ + "physVeh_StepsPerFrame", + "The number of physics timesteps that the server frame will be divided into." + ], + [ + "pickupPrints", + "Print a message to the game window when picking up ammo, etc." + ], + [ + "player_breath_snd_delay", + "The delay before playing the breathe in sound" + ], + [ + "player_breath_snd_lerp", + "The interpolation rate for the player hold breath sound" + ], + [ + "player_current_floor", + "" + ], + [ + "player_MGUseRadius", + "The radius within which a player can mount a machine gun" + ], + [ + "player_stunWhiteFlash", + "If enabled, player's screens will flash white when they are stunned." + ], + [ + "player_throwbackInnerRadius", + "The radius to a live grenade player must be within initially to do a throwback" + ], + [ + "player_throwbackOuterRadius", + "The radius player is allow to throwback a grenade once the player has been in the inner radius" + ], + [ + "player_useRadius", + "The radius within which a player can use things" + ], + [ + "playercard_cache_download_max_retry_time", + "Max time that the player cache download can retry" + ], + [ + "playercard_cache_download_retry_step", + "Step in m/s for the player cache download retry" + ], + [ + "playercard_cache_upload_max_retry_time", + "Max time that the player cache upload can retry" + ], + [ + "playercard_cache_upload_retry_step", + "Step in m/s for the player cache upload retry" + ], + [ + "playercard_cache_validity_life", + "The life of a cached gamercard (it can be re-downloaded after this)" + ], + [ + "playerPositionRecordSampleTime", + "How often to sample player positions and save them into match data." + ], + [ + "playlist", + "The playlist number" + ], + [ + "playlistAggrFilename", + "Aggregated playlist filename" + ], + [ + "playlistFilename", + "Playlist filename" + ], + [ + "playListUpdateCheckMinutes", + "Minutes to wait between checking for updated playlist." + ], + [ + "prestige_shop_active", + "Are we allowed to show the Prestige Shop or not" + ], + [ + "prestige30EasterEggEnabled", + "Enables the easter egg for prestige 30 if 1, disabled if 0." + ], + [ + "privateMatch_joinPassword", + "" + ], + [ + "privateMatch_serverPassword", + "" + ], + [ + "profileMenuOption_blacklevel", + "" + ], + [ + "profileMenuOption_offensiveContentMode", + "Mode of the offensive content warning at startup - 0, skip and turn on; 1, skip and turn off; 2, ask user" + ], + [ + "profileMenuOption_safeAreaHorz", + "" + ], + [ + "profileMenuOption_safeAreaVert", + "" + ], + [ + "profileMenuOption_volume", + "" + ], + [ + "protocol", + "Protocol version" + ], + [ + "pt_AliensReadyUpPrivateInUse", + "Do we use the co-op Ready Up feature in public lobbies?" + ], + [ + "pt_AliensReadyUpPublicInUse", + "Do we use the co-op Ready Up feature in public lobbies?" + ], + [ + "pt_AliensReadyUpPublicStartTimerLength", + "co-op Ready Up start timer length in seconds" + ], + [ + "pt_allMembersDoQoS", + "Whether to send search results to all party/lobby members to get QoS data" + ], + [ + "pt_backoutOnClientPresence", + "Whether the host should backout the party on client presence. 0=fully disabled, 1=out of game only, 2=in-game also" + ], + [ + "pt_connectAttempts", + "Connect timeout when joining another game/party, per attempt" + ], + [ + "pt_connectTimeout", + "Connect timeout when joining another game/party, per attempt" + ], + [ + "pt_gameStartTimerLength", + "Time in seconds before a game start once enough party members are ready" + ], + [ + "pt_logHostSelectionChance", + "Sets the probability that we log our host selection results" + ], + [ + "pt_memberTimeout", + "Client timeout time in the general case" + ], + [ + "pt_migrateBeforeAdvertise", + "Whether lobbies made by private parties should migrate host before publishing" + ], + [ + "pt_migrationBandwidthBonusPing", + "The ping rewarded to the bonus bandwidth threshold when scoring hosts." + ], + [ + "pt_migrationBandwidthBonusThreshold", + "The required excess % upload bandwidth to get a bonus when scoring hosts." + ], + [ + "pt_migrationCPUWeight", + "How important CPU speed is when selecting a new host" + ], + [ + "pt_migrationNotInstalledWeight", + "How important not being done installing is when selecting a new host" + ], + [ + "pt_migrationPingBad", + "" + ], + [ + "pt_migrationPingWeight", + "" + ], + [ + "pt_migrationQuitsBad", + "" + ], + [ + "pt_migrationQuitsWeight", + "" + ], + [ + "pt_migrationRAMWeight", + "How important it is to have the minimum amount of RAM when selecting a new host" + ], + [ + "pt_migrationThreshold", + "Minimum amount which another client must be better than the current host to trigger a migration" + ], + [ + "pt_migrationUploadBad", + "" + ], + [ + "pt_migrationUploadWeight", + "" + ], + [ + "pt_migrationWifiPenalty", + "How important Wifi is when selecting a new host" + ], + [ + "pt_pregameStartTimerLength", + "Time in seconds before showing and starting the game start timer" + ], + [ + "pt_rejoin", + "Enable defensive rejoin command" + ], + [ + "pt_reservedAnonymousSlotTime", + "Time in milliseconds that ANONYMOUS slots will be reserved." + ], + [ + "pt_reservedCommittedSlotTime", + "Time in milliseconds that COMMITTED slots will be reserved" + ], + [ + "pt_reservedJoiningSlotTime", + "Time in milliseconds that JOINING slots will be reserved" + ], + [ + "pt_searchConnectAttempts", + "Connect timeout when joining another game/party, per attempt" + ], + [ + "pt_searchPauseTime", + "Minimum amount of time to pause between searches" + ], + [ + "pt_searchRandomDelay", + "Time period over which the search timers will get randomly delayed." + ], + [ + "pt_searchResultsLifetime", + "Time at which we consider the search results stale" + ], + [ + "pt_searchResultsMin", + "Minimum amount of time that has to pass before we'll search again for matches" + ], + [ + "pt_stillConnectingWaitTime", + "Amount of time to wait for someone to finish connecting before searching for lobbies to merge with" + ], + [ + "pt_useMigrationWeights", + "Killswitch to turn on or off the host selection by weights" + ], + [ + "publisherFileFetchTimeout", + "default timeout for publisher files FETCH tasks (in seconds)" + ], + [ + "r_adaptiveSubdiv", + "Enables screen space Catmull Clark adaptive tessellation. If disabled, models tessellate to their designed subdivision level." + ], + [ + "r_adaptiveSubdivBaseFactor", + "Screen space Catmull Clark adaptive tessellation factor for the base model. Smaller values mean more tessellation." + ], + [ + "r_adaptiveSubdivPatchFactor", + "Screen space Catmull Clark adaptive tessellation factor for the base model. Smaller values mean more tessellation." + ], + [ + "r_allCells", + "Draw all cells. Most useful for seeing if portals or cells are hiding things they should not.." + ], + [ + "r_amdGPU", + "At least on AMD GPU used for rendering." + ], + [ + "r_aoBlurSharpness", + "Controls the tolerance for depth discontinuities during the bilateral blur step. Larger values reduce the depth tolerance and effectively sharpen more edges." + ], + [ + "r_aoBlurStep", + "Step scale applied to sample offsets during the bilateral blur. A value of 1 results in a normal gaussian blur. Increasing it to 2 or 3 makes the filter larger but causes fine dithering patterns." + ], + [ + "r_aoDiminish", + "Decrease the effect of occlusion on brighter colors" + ], + [ + "r_aoPower", + "Power curve applied to AO factor" + ], + [ + "r_aoStrength", + "Strength of Ambient Occlusion effect" + ], + [ + "r_aoUseTweaks", + "Use r_ao* dvars instead of the current light set values for AO common params" + ], + [ + "r_artUseTweaks", + "Tells the game that art tweaks is enabled and script is in control (as opposed to ColorEd)." + ], + [ + "r_aspectRatio", + "Screen aspect ratio. Most widescreen monitors are 16:10 instead of 16:9." + ], + [ + "r_asyncCompute", + "Enables scheduling GPU compute shader work prior to the graphics frame, improving overlap." + ], + [ + "r_atlasAnimFPS", + "Speed to animate atlased 2d materials" + ], + [ + "r_autopriority", + "Automatically set the priority of the windows process when the game is minimized" + ], + [ + "r_balanceLightmapOpaqueLists", + "Split lightmap opaque into multiple draw lists." + ], + [ + "r_blacklevel", + "Black level (negative brightens output)" + ], + [ + "r_blur", + "Dev tweak to blur the screen" + ], + [ + "r_blurdstGaussianBlurLevel", + "MIP level to start gaussian blur at" + ], + [ + "r_blurdstGaussianBlurRadius", + "Amount to gaussian blur blur distortion render target" + ], + [ + "r_brightness", + "Brightness adjustment" + ], + [ + "r_cacheModelLighting", + "Speed up model lighting by caching previous results" + ], + [ + "r_cacheSModelLighting", + "Speed up static model lighting by caching previous results" + ], + [ + "r_charLightAmbient", + "" + ], + [ + "r_clampLodScale", + "Clamps the amount that the engine can adjust the LOD distance. 0 the engine can fully adjust. 1 the engine cannot adjust it at all. 0.5 the maximum the engine can adjust the LOD distance is 50% or the default." + ], + [ + "r_clear", + "Controls how the color buffer is cleared" + ], + [ + "r_clearColor", + "Color to clear the screen to when clearing the frame buffer" + ], + [ + "r_clearColor2", + "Color to clear every second frame to (for use during development)" + ], + [ + "r_clutCompositeVisionSet", + "Composite clut with vision set." + ], + [ + "r_cmdbuf_worker", + "Process command buffer in a separate thread" + ], + [ + "r_colorGradingEnable", + "Enable color grading." + ], + [ + "r_colorMap", + "Replace all color maps with pure black or pure white" + ], + [ + "r_colorScaleUseTweaks", + "Override color scale LightSet settings with tweak dvar values. (MP)" + ], + [ + "r_combinePostOpaqueFx", + "" + ], + [ + "r_contrast", + "Contrast adjustment" + ], + [ + "r_darkBlur", + "Apply blur (decrease of visual acuity) when dark" + ], + [ + "r_darkBlurPower", + "Power curve of blurring (decrease of visual acuity) when dark" + ], + [ + "r_darkBlurRadius", + "Radius of blurring (decrease of visual acuity) when dark" + ], + [ + "r_darkColor", + "Reduce color sensitivity when dark" + ], + [ + "r_darkColorPower", + "Power curve of color sensitivity when dark" + ], + [ + "r_debugLineWidth", + "Width of server side debug lines" + ], + [ + "r_defaultPatchCount", + "Patches per thread group for all other surfaces." + ], + [ + "r_depthPrepass", + "Enable depth prepass for various geometries" + ], + [ + "r_depthSortEnable", + "Enable sorting of transparent surfaces." + ], + [ + "r_depthSortRange", + "Range to consider depth sort," + ], + [ + "r_desaturation", + "Desaturation adjustment" + ], + [ + "r_detailMap", + "Replace all detail maps with an image that effectively disables them" + ], + [ + "r_diffuseColorScale", + "Globally scale the diffuse color of all point lights" + ], + [ + "r_displacementMap", + "Replace all displacement maps with an image that effectively disables them" + ], + [ + "r_displacementPatchCount", + "Patches per thread group for displacement surfaces." + ], + [ + "r_distortion", + "Enable distortion" + ], + [ + "r_distortion_script_force_off", + "Force distortion off in script" + ], + [ + "r_dlightLimit", + "Maximum number of dynamic lights drawn simultaneously" + ], + [ + "r_dof_bias", + "Depth of field bias as a power function (like gamma); less than 1 is sharper" + ], + [ + "r_dof_enable", + "Enable the depth of field effect" + ], + [ + "r_dof_farBlur", + "" + ], + [ + "r_dof_farEnd", + "Depth of field far end distance, in inches" + ], + [ + "r_dof_farStart", + "Depth of field far start distance, in inches" + ], + [ + "r_dof_nearBlur", + "" + ], + [ + "r_dof_nearEnd", + "Depth of field near end distance, in inches" + ], + [ + "r_dof_nearStart", + "Depth of field near start distance, in inches" + ], + [ + "r_dof_physical_adsFocusSpeed", + "ADS focus speed (focus dist. far to near, focus dist. near to far, aperture opening, aperture closing)" + ], + [ + "r_dof_physical_adsMaxFstop", + "ADS maximum f-stop (optimal aperture and focus distance are automatically calculated for this mode)" + ], + [ + "r_dof_physical_adsMinFstop", + "ADS minimum f-stop (optimal aperture and focus distance are automatically calculated for this mode)" + ], + [ + "r_dof_physical_bokehEnable", + "Enable the bokeh depth of field effect" + ], + [ + "r_dof_physical_bokehPreset", + "Changes dof sampling quality" + ], + [ + "r_dof_physical_bokehRotation", + "Bokeh shape rotation in degrees (hexagonal and octogonal only)" + ], + [ + "r_dof_physical_bokehShape", + "Changes the bokeh shape" + ], + [ + "r_dof_physical_bokehSharpness", + "Bokeh shape sharpness, trades sharpness for stability (circular only)" + ], + [ + "r_dof_physical_enable", + "enable physical camera controls (using aperture priority)" + ], + [ + "r_dof_physical_filmDiagonal", + "Diagonal size of the film/sensor (mm). The bigger the sensor size, the bigger the circle of confusion (which means stronger blurring at all distances). Defaults to full-frame 35mm" + ], + [ + "r_dof_physical_focusDistance", + "Distance to the plane in focus for the scene" + ], + [ + "r_dof_physical_fstop", + "Aperture of the camera for the scene. Lower f-stop yields a shallower depth of field. Typical values range from f/1 to f/22. Rare extremes are f/0.75 and f/32" + ], + [ + "r_dof_physical_hipEnable", + "Enable hyperfocal mode" + ], + [ + "r_dof_physical_hipFocusSpeed", + "Hyperfocal mode focus speed (focus dist. far to near, focus dist. near to far, aperture opening, aperture closing)" + ], + [ + "r_dof_physical_hipFstop", + "Aperture of the camera for the scene in the hyperfocal mode" + ], + [ + "r_dof_physical_hipSharpCocDiameter", + "Defines what circle of confusion can be considered sharp (mm). Defaults to 0.03mm, generally accepted value for 35mm" + ], + [ + "r_dof_physical_maxCocDiameter", + "Maximum circle of confusion diameter (virtual units, might be clamped for bokeh dof)" + ], + [ + "r_dof_physical_minFocusDistance", + "Minimum focus distance (inches)" + ], + [ + "r_dof_physical_viewModelFocusDistance", + "Distance to the plane in focus for the scene" + ], + [ + "r_dof_physical_viewModelFstop", + "Aperture of the camera for the view model. Lower f-stop yields a shallower depth of field. Typical values range from f/1 to f/22. Rare extremes are f/0.75 and f/32" + ], + [ + "r_dof_tweak", + "Use dvars to set the depth of field effect; overrides r_dof_enable" + ], + [ + "r_dof_viewModelEnd", + "Depth of field viewmodel end distance, in inches" + ], + [ + "r_dof_viewModelStart", + "Depth of field viewmodel start distance, in inches" + ], + [ + "r_drawSun", + "Enable sun effects" + ], + [ + "r_drawWater", + "Enable water animation" + ], + [ + "r_dynamicOPL", + "Enable drawing vfx lights as overlapping primary light for saving gpu performance." + ], + [ + "r_dynamicSpotLightShadows", + "Enable shadows for dynamic/VFX spot lights, you should set this dvar then spawn the new light." + ], + [ + "r_elevatedPriority", + "Utilize priority elevation for process." + ], + [ + "r_emblemBrightnessScale", + "Modifier that scales the brightness of the emblem on model materials" + ], + [ + "r_emissiveMap", + "Replace all emissive maps with pure black or pure white" + ], + [ + "r_enableNoTessBuckets", + "Enables placing triangles that don't need tessellation into additional draw calls using non-tessellated shaders." + ], + [ + "r_envBrdfLutMap", + "Replace environment BRDF lookup table with pure black (no secondary specular) or pure white (maximum secondary specular)" + ], + [ + "r_envMapExponent", + "Reflection exponent." + ], + [ + "r_envMapMaxIntensity", + "Max reflection intensity based on glancing angle." + ], + [ + "r_envMapMinIntensity", + "" + ], + [ + "r_envMapOverride", + "" + ], + [ + "r_envMapSunIntensity", + "Max sun specular intensity intensity with env map materials." + ], + [ + "r_eyePupil", + " Change eye's pupil Size." + ], + [ + "r_eyeRedness", + " Change eye's redness." + ], + [ + "r_eyeWetness", + " Change eye's wetness." + ], + [ + "r_fastModelPrimaryLightCheck", + "Reduce R_GetNonSunPrimaryLightForSphere/R_GetNonSunPrimaryLightForBox function calls" + ], + [ + "r_fastModelPrimaryLightLink", + "Speed up R_LinkSphereEntityToPrimaryLights and R_LinkBoxEntityToPrimaryLights." + ], + [ + "r_filmAltShader", + "Use alternate shader (with middle tint and dark desat) for film color." + ], + [ + "r_filmTweakBrightness", + "Tweak dev var; film color brightness" + ], + [ + "r_filmTweakContrast", + "Tweak dev var; film color contrast" + ], + [ + "r_filmTweakDarkTint", + "" + ], + [ + "r_filmTweakDesaturation", + "Tweak dev var; Desaturation applied after all 3D drawing to light areas" + ], + [ + "r_filmTweakDesaturationDark", + "Tweak dev var; Additional desaturation applied after all 3D drawing to dark areas" + ], + [ + "r_filmTweakEnable", + "Tweak dev var; enable film color effects" + ], + [ + "r_filmTweakInvert", + "Tweak dev var; enable inverted video" + ], + [ + "r_filmTweakLightTint", + "" + ], + [ + "r_filmTweakMediumTint", + "" + ], + [ + "r_filmUseTweaks", + "Overide film effects with tweak dvar values." + ], + [ + "r_flushAfterExecute", + "Whether to Flush after ExecuteCommandList." + ], + [ + "r_fog", + "Set to 0 to disable fog" + ], + [ + "r_fog_depthhack_scale", + "Fog scale for depth hack surfaces" + ], + [ + "r_fog_ev_adjust", + "Fog color ev adjustment (+2 means fog color is 2 stops brighter)" + ], + [ + "r_font_cache_debug_display", + "Display the current fontcache texture on the HUD for debug purposes" + ], + [ + "r_forceLod", + "Force all level of detail to this level" + ], + [ + "r_fullbright", + "Toggles rendering without lighting" + ], + [ + "r_fxaaSubpixel", + "FXAA sub-pixel amount, lower values have more aliasing and less blur" + ], + [ + "r_FXAverageColorFunc", + "How to compute FX system average color? 0 = use IWrad equation, 1 = legacy equation, 2 = spherical harmonics 1 coefficient." + ], + [ + "r_globalGenericMaterialScale", + "Hack global generic material constants" + ], + [ + "r_glow_allowed", + "Allow glow." + ], + [ + "r_glow_allowed_script_forced", + "Force 'allow glow' to be treated as true, by script." + ], + [ + "r_gunSightColorEntityScale", + "Scale the gun sight color when over an entity." + ], + [ + "r_gunSightColorNoneScale", + "Scale the gun sight color when not over an entity." + ], + [ + "r_hbaoBias", + "HBAO bias" + ], + [ + "r_hbaoBlurEnable", + "HBAO blur enabled" + ], + [ + "r_hbaoBlurSharpness", + "HBAO blur sharpness" + ], + [ + "r_hbaoCoarseAO", + "HBAO coarse AO" + ], + [ + "r_hbaoDebug", + "Debug render HBAO occlusion" + ], + [ + "r_hbaoDetailAO", + "HBAO detail AO" + ], + [ + "r_hbaoPowerExponent", + "HBAO power exponent" + ], + [ + "r_hbaoRadius", + "HBAO radius" + ], + [ + "r_hbaoSceneScale", + "HBAO scene scale" + ], + [ + "r_hbaoStrengthBlend", + "Blend factor between the artist-tuned proportional strength r_hbaoStrengthScale*artStrength, and the fixed strength r_hbaoStrengthFixed. A value of 0.0 is fully the proportional value, and a value of 1.0 is fully the fixed value." + ], + [ + "r_hbaoStrengthFixed", + "Fixed HBAO strength. Only used if r_hbaoStrengthBlend > 0.0." + ], + [ + "r_hbaoStrengthScale", + "Scale factor to convert SSAO strength to HBAO strength. Only used if r_hbaoStrengthBlend < 1.0." + ], + [ + "r_hbaoUseScriptScale", + "Enable/disable script-controlled strength scale while HBAO is active." + ], + [ + "r_hemiAoBlurTolerance", + "Hemi SSAO Blur Tolerance (log10)" + ], + [ + "r_hemiAoCombineResolutionsBeforeBlur", + "The higher quality modes blend wide and narrow sampling patterns. The wide pattern is due to deinterleaving and requires blurring. The narrow pattern is not on a deinterleaved buffer, but it only samples every other pixel. The blur on it is optional. If you combine the two before blurring, the narrow will get blurred as well. This creates a softer effect but can remove any visible noise from having 50% sample coverage." + ], + [ + "r_hemiAoCombineResolutionsWithMul", + "When combining the wide and narrow patterns, a mul() operation can be used or a min() operation. Multiplication exaggerates the result creating even darker creases. This is an artistic choice. I think it looks less natural, but often art teams prefer more exaggerated contrast. For me, it's more about having the right AO falloff so that it's a smooth gradient rather than falling off precipitously and forming overly dark recesses." + ], + [ + "r_hemiAoDepthSquash", + "Hemi SSAO depth squash. Value is rcp." + ], + [ + "r_hemiAoEnable", + "Enable Hemi SSAO" + ], + [ + "r_hemiAoHierarchyDepth", + "Hemi SSAO recursion depth (filter width)" + ], + [ + "r_hemiAoMaxDepthDownsample", + "Use max depth value when downsampling, instead of pseudo-randomly picking a depth sample? Leaving this at the default false may produce more stable results." + ], + [ + "r_hemiAoNoiseFilterTolerance", + "This is necessary to filter out pixel shimmer due to bilateral upsampling with too much lost resolution. High frequency detail can sometimes not be reconstructed, and the noise filter fills in the missing pixels with the result of the higher resolution SSAO. Value is log10." + ], + [ + "r_hemiAoPower", + "Power curve applied to Hemi SSAO factor, not applied in game yet" + ], + [ + "r_hemiAoQualityLevel", + "Hemi SSAO quality setting" + ], + [ + "r_hemiAoRejectionFalloff", + "Controls how aggressive to fade off samples that occlude spheres but by so much as to be unreliable. This is what gives objects a dark halo around them when placed in front of a wall. If you want to fade off the halo, boost your rejection falloff. The tradeoff is that it reduces overall AO. Value is rcp." + ], + [ + "r_hemiAoStrength", + "Strength of Hemi Screen Space Ambient Occlusion effect" + ], + [ + "r_hemiAoUpsampleTolerance", + "Hemi SSAO Upsample Tolerance (log10)" + ], + [ + "r_heroLighting", + "Enable hero-only lighting" + ], + [ + "r_highLodDist", + "Distance for high level of detail" + ], + [ + "r_hudFx", + "Draw HUD Effects" + ], + [ + "r_hudOutlineEnable", + "Enables wireframe outlines to be drawn around DObjs (as a post process)." + ], + [ + "r_hudOutlinePostMode", + "hud outline apply mode" + ], + [ + "r_hudOutlineWidth", + "Set the width of the Hud Outline" + ], + [ + "r_ignore", + "" + ], + [ + "r_ignoref", + "" + ], + [ + "r_imageQuality", + "Image quality" + ], + [ + "r_inGameVideo", + "Allow in game cinematics" + ], + [ + "r_lateAllocParamCacheAllowed", + "Enable late allocation of parameter cache for VS stage." + ], + [ + "r_lateAllocParamCacheDefault", + "Late allocation of parameter cache value for sub-div materials." + ], + [ + "r_lateAllocParamCacheDisplacement", + "Late allocation of parameter cache value for sub-div materials." + ], + [ + "r_lateAllocParamCacheSubdiv", + "Late allocation of parameter cache value for sub-div materials." + ], + [ + "r_lightCacheLessFrequentMaxDistance", + "Adjust the distance fx models (and models tagged as less-frequently-lit by script) move before immediately being relit" + ], + [ + "r_lightCacheLessFrequentPeriod", + "Adjust how frequently fx models (and models tagged as less-frequently-lit by script) get relit on average (1 is every frame, 8 is every 8th frame)" + ], + [ + "r_lightGridAvgApplyPrimaryLight", + "apply primary light color onto r_showLightGridAvgProbes boxes" + ], + [ + "r_lightGridAvgFollowCamera", + "allow the r_showLightGridAvgProbes boxes following current camera position" + ], + [ + "r_lightGridAvgProbeCount", + "how many light grid avg color probes will show up)" + ], + [ + "r_lightGridAvgTraceGround", + " lock boxes to ground " + ], + [ + "r_lightGridContrast", + "Adjust the contrast of light color from the light grid" + ], + [ + "r_lightGridDefaultFXLightingLookup", + "Default FX lighting lookup location\n" + ], + [ + "r_lightGridDefaultModelLightingLookup", + "Default model lighting lookup location" + ], + [ + "r_lightGridEnableTweaks", + "Enable tweaks of the light color from the light grid" + ], + [ + "r_lightGridIntensity", + "Adjust the intensity of light color from the light grid" + ], + [ + "r_lightGridSHBands", + "Spherical harmonics bands being used for evaluating current-gen light grids colors. 0 = default, 1 = 1 band, 2 = 2 bands, 3 = 3 bands.\n" + ], + [ + "r_lightGridUseTweakedValues", + "Use tweaked values instead of default" + ], + [ + "r_lightMap", + "Replace all lightmaps with pure black or pure white" + ], + [ + "r_litSurfaceHDRScalar", + "Vision set based scalar applied to lit surfaces" + ], + [ + "r_loadForRenderer", + "Set to false to disable dx allocations (for dedicated server mode)" + ], + [ + "r_lockPvs", + "Lock the viewpoint used for determining what is visible to the current position and direction" + ], + [ + "r_lod4Dist", + "Distance for lowest level of detail 4" + ], + [ + "r_lod5Dist", + "Distance for lowest level of detail 5" + ], + [ + "r_lodBiasRigid", + "" + ], + [ + "r_lodBiasSkinned", + "" + ], + [ + "r_lodScaleRigid", + "" + ], + [ + "r_lodScaleSkinned", + "" + ], + [ + "r_lowestLodDist", + "Distance for lowest level of detail" + ], + [ + "r_lowLodDist", + "Distance for low level of detail" + ], + [ + "r_mbEnable", + "Set of objects which will be enabled for motion blur" + ], + [ + "r_mbFastEnable", + "Toggle on/off fast high quality motion blur" + ], + [ + "r_mbFastPreset", + "Changes motion blur quality" + ], + [ + "r_mdao", + "Enable the medium distance ambient occlusion feature" + ], + [ + "r_mdaoAsyncOccluderGen", + "The occluder generation step is performed via async compute" + ], + [ + "r_mdaoBoneInfluenceRadiusScale", + "Scale for the bone influence radius for mdao" + ], + [ + "r_mdaoCapsuleStrength", + "MDAO strength for capsule occluders" + ], + [ + "r_mdaoMinBoneBoundsToOcclude", + "Minimum volume of the bone collider to create occluders for" + ], + [ + "r_mdaoOccluderCullDistance", + "Culling distance for mdao occluders" + ], + [ + "r_mdaoOccluderFadeOutStartDistance", + "Fade out distance for mdao occluders" + ], + [ + "r_mdaoUseTweaks", + "Use r_mdao* dvars instead of the current light set values for MDAO" + ], + [ + "r_mdaoVolumeStrength", + "MDAO strength for volume occluders" + ], + [ + "r_mediumLodDist", + "Distance for medium level of detail" + ], + [ + "r_mode", + "Display mode" + ], + [ + "r_modelLightingMap", + "Replace all model lighting maps (light grid) with pure black" + ], + [ + "r_monitor", + "Index of the monitor to use in a multi monitor system; 0 picks automatically." + ], + [ + "r_mpRimColor", + "Change character's rim color for multiplayer" + ], + [ + "r_mpRimDiffuseTint", + "Change character's rim diffuse tint for multiplayer." + ], + [ + "r_mpRimStrength", + "Change character's rim color for multiplayer" + ], + [ + "r_multiGPU", + "Enable multi GPU compat mode." + ], + [ + "r_normalMap", + "Replace all normal maps with a flat normal map" + ], + [ + "r_nvidiaGPU", + "Enable NV API." + ], + [ + "r_offchipTessellationAllowed", + "Enable off-chip tessellation support." + ], + [ + "r_offchipTessellationTfThreshold", + "Tessellation factor threshold for off-chip." + ], + [ + "r_offchipTessellationWaveThreshold", + "Domain shader wave threshold for off-chip." + ], + [ + "r_omitUnusedRenderTargets", + "Omit unused render targets to save memory. Changing this requires a vid_restart." + ], + [ + "r_outdoor", + "Prevents snow from going indoors" + ], + [ + "r_outdoorFeather", + "Outdoor z-feathering value" + ], + [ + "r_particleHdr", + "Enable Hdr Particle Features" + ], + [ + "r_patchCountAllowed", + "Enable run-time setting of patch count per draw call." + ], + [ + "r_picmip", + "Picmip level of color maps. If r_picmip_manual is 0, this is read-only." + ], + [ + "r_picmip_bump", + "Picmip level of normal maps. If r_picmip_manual is 0, this is read-only." + ], + [ + "r_picmip_spec", + "Picmip level of specular maps. If r_picmip_manual is 0, this is read-only." + ], + [ + "r_picmip_water", + "Picmip level of water maps." + ], + [ + "r_polygonOffsetBias", + "Offset bias for decal polygons; bigger values z-fight less but poke through walls more" + ], + [ + "r_polygonOffsetClamp", + "Offset clamp for decal polygons; bigger values z-fight less but poke through walls more" + ], + [ + "r_polygonOffsetScale", + "Offset scale for decal polygons; bigger values z-fight less but poke through walls more" + ], + [ + "r_portalBevels", + "Helps cull geometry by angles of portals that are acute when projected onto the screen, value is the cosine of the angle" + ], + [ + "r_portalBevelsOnly", + "Use screen-space bounding box of portals rather than the actual shape of the portal projected onto the screen" + ], + [ + "r_portalMinClipArea", + "Don't clip child portals by a parent portal smaller than this fraction of the screen area." + ], + [ + "r_portalMinRecurseDepth", + "Ignore r_portalMinClipArea for portals with fewer than this many parent portals." + ], + [ + "r_portalWalkLimit", + "Stop portal recursion after this many iterations. Useful for debugging portal errors." + ], + [ + "r_postAA", + "Post process antialiasing mode" + ], + [ + "r_postfx_enable", + "Enable post-processing effects such as color correction, bloom, depth-of-field, etc." + ], + [ + "r_preloadShaders", + "Force D3D to draw dummy geometry with all shaders during level load; may fix long pauses at level start." + ], + [ + "r_primaryLightTweakDiffuseStrength", + "Tweak the diffuse intensity for primary lights" + ], + [ + "r_primaryLightTweakSpecularStrength", + "Tweak the specular intensity for primary lights" + ], + [ + "r_primaryLightUseTweaks", + "" + ], + [ + "r_reactiveMotionActorRadius", + "Radial distance from the ai characters that influences reactive motion models (inches)" + ], + [ + "r_reactiveMotionActorVelocityMax", + "AI velocity considered the maximum when determining the length of motion tails (inches/sec)" + ], + [ + "r_reactiveMotionActorZOffset", + "Distance from the actor origin along Z direction where the actor's reactive motion effector sphere is centered at." + ], + [ + "r_reactiveMotionEffectorStrengthScale", + "Additional scale for the effector influence, as a factor of the model part distance from the effector center and model part extents" + ], + [ + "r_reactiveMotionHelicopterLimit", + "Maximum number of helicopter entities that actively influence reactive motion. Can increase CPU cost of the scene." + ], + [ + "r_reactiveMotionHelicopterRadius", + "Radial distance from the helicopter that influences reactive motion models (inches)" + ], + [ + "r_reactiveMotionHelicopterStrength", + "Scales the influence of helicopter wind tunnel motion" + ], + [ + "r_reactiveMotionPlayerHeightAdjust", + "Amount to adjust the vertical distance of the effector from the player position (inches)" + ], + [ + "r_reactiveMotionPlayerRadius", + "Radial distance from the player that influences reactive motion models (inches)" + ], + [ + "r_reactiveMotionPlayerZOffset", + "Distance from the player origin along Z direction where the player's reactive motion effector sphere is centered at." + ], + [ + "r_reactiveMotionVelocityTailScale", + "Additional scale for the velocity-based motion tails, as a factor of the effector radius" + ], + [ + "r_reactiveMotionWindAmplitudeScale", + "Scales amplitude of wind wave motion" + ], + [ + "r_reactiveMotionWindAreaScale", + "Scales distribution of wind motion" + ], + [ + "r_reactiveMotionWindDir", + "Controls the global wind direction" + ], + [ + "r_reactiveMotionWindFrequencyScale", + "Scales frequency of wind wave motion" + ], + [ + "r_reactiveMotionWindStrength", + "Scale of the global wind direction (inches/sec)" + ], + [ + "r_reflectionProbeMap", + "Replace all reflection probes with pure black" + ], + [ + "r_reflectionProbeNmlLuminance", + "Enable/disable shader code for computing luminance during reflection probe denormalization. This is just an experiment.\n" + ], + [ + "r_rimLight0Color", + "" + ], + [ + "r_rimLight0Heading", + "Rim Light 0 heading in degrees" + ], + [ + "r_rimLight0Pitch", + "Rim Light 0 pitch in degrees -90 is noon." + ], + [ + "r_rimLightBias", + "How much to bias the n.l calculation" + ], + [ + "r_rimLightDiffuseIntensity", + "Strength of the diffuse component of the rim light." + ], + [ + "r_rimLightFalloffMaxDistance", + "Distance at which the rim light hits intensity of 100%." + ], + [ + "r_rimLightFalloffMinDistance", + "Distance at which the rim light hits intensity of 100%." + ], + [ + "r_rimLightFalloffMinIntensity", + "Intensity of the effect at and before minDistance." + ], + [ + "r_rimLightPower", + "Power to raise the n.l calculation" + ], + [ + "r_rimLightSpecIntensity", + "Strength of the spec ( additive) component of the rim light" + ], + [ + "r_rimLightUseTweaks", + "Turn on rim lighting tweaks" + ], + [ + "r_scaleViewport", + "Scale 3D viewports by this fraction. Use this to see if framerate is pixel shader bound." + ], + [ + "r_sceneMipShowOverlay", + "Toggles scene mip rendertarget overlay" + ], + [ + "r_showLightGrid", + "Show light grid debugging information (2: detailed, 3: detailed for this box only)" + ], + [ + "r_showLightGridAvgProbes", + "show an array of boxes which are using the light grid average color at its location" + ], + [ + "r_showLightGridDetailInfo", + "Show more details for light grid debugging." + ], + [ + "r_showLightProbes", + "Show the light probes at the light grid sample locations in world space centered around the camera." + ], + [ + "r_showMissingLightGrid", + "Use rainbow colors for entities that are outside the light grid" + ], + [ + "r_showModelLightingLowWaterMark", + "" + ], + [ + "r_showPortals", + "Show portals for debugging" + ], + [ + "r_showPortalsOverview", + "Render 2d XY portal overlay scaled to fit to this distance. Useful for debugging portal errors." + ], + [ + "r_showReflectionProbeSelection", + "Show reflection probe selection" + ], + [ + "r_singleCell", + "Only draw things in the same cell as the camera. Most useful for seeing how big the current cell is." + ], + [ + "r_skipPvs", + "Skipt the determination of what is in the potentially visible set (disables most drawing)" + ], + [ + "r_sky_fog_intensity", + "Amount of sky fog fading" + ], + [ + "r_sky_fog_max_angle", + "End of angular sky fog fading" + ], + [ + "r_sky_fog_min_angle", + "Start of angular sky fog fading" + ], + [ + "r_skyFogUseTweaks", + "Enable dvar control of sky fog" + ], + [ + "r_smaaThreshold", + "SMAA edge detection threshold" + ], + [ + "r_smodelInstancedRenderer", + "Render static models with instanced renderer" + ], + [ + "r_smodelInstancedThreshold", + "Minimum number of static model instances before instanced rendering is used" + ], + [ + "r_smp_backend", + "Process renderer back end in a separate thread" + ], + [ + "r_smp_worker", + "Process renderer front end in a separate thread" + ], + [ + "r_smp_worker_thread0", + "" + ], + [ + "r_smp_worker_thread1", + "" + ], + [ + "r_smp_worker_thread2", + "" + ], + [ + "r_smp_worker_thread3", + "undefined" + ], + [ + "r_smp_worker_thread4", + "undefined" + ], + [ + "r_smp_worker_thread5", + "undefined" + ], + [ + "r_smp_worker_thread6", + "undefined" + ], + [ + "r_smp_worker_thread7", + "undefined" + ], + [ + "r_specOccMap", + "Replace all specular occlusion maps with pure black (fully occluded) or pure white (not occluded)" + ], + [ + "r_specularColorScale", + "Set greater than 1 to brighten specular highlights" + ], + [ + "r_specularMap", + "Replace all specular maps with pure black (off) or pure white (super shiny)" + ], + [ + "r_spotLightEntityShadows", + "Enable entity shadows for spot lights." + ], + [ + "r_spotLightShadows", + "Enable shadows for spot lights." + ], + [ + "r_ssao", + "Screen Space Ambient Occlusion mode" + ], + [ + "r_ssaoDebug", + "Render calculated or blurred Screen Space Ambient Occlusion values" + ], + [ + "r_ssaoDebugMip", + "Selects which mip level to render when r_ssaoDebug is enabled. If 0 and r_ssaoDownsample is enabled, will render mip 1." + ], + [ + "r_ssaoDepthScale", + "Scale applied to depth values used for occlusion tests." + ], + [ + "r_ssaoDepthScaleViewModel", + "Scale applied to depth values used for occlusion tests." + ], + [ + "r_ssaoDownsample", + "Screen Space Ambient Occlusion calculation occurs at half linear resolution" + ], + [ + "r_ssaoFadeDepth", + "Depth at which the SSAO begins to fade out. It fades at even increments of this distance (e.g. it's at 1 for depth r_ssaoFadeDepth, 1/2 for depth 2*r_ssaoFadeDepth, etc.)" + ], + [ + "r_ssaoGapFalloff", + "Falloff used to blend between creases (that should darken) and silhouettes (that should not darken). Lower values falloff more quickly." + ], + [ + "r_ssaoGradientFalloff", + "Falloff used to fade out the effect for steep depth gradients (i.e. surfaces nearly parallel to the camera direction). This fixes sampling artifacts that appear for surfaces nearly parallel to the camera direction (commonly occuring for flat ground planes)." + ], + [ + "r_ssaoMaxStrengthDepth", + "Depth at which SSAO strength is at its maximum" + ], + [ + "r_ssaoMethod", + "Screen Space Ambient Occlusion method (original or IW6, both are volumetric obscurance)" + ], + [ + "r_ssaoMinPixelWidth", + "Minimum pixel width of the effect. When the effect is smaller than this, it is culled entirely." + ], + [ + "r_ssaoMinStrengthDepth", + "Depth at which SSAO strength is zero, effectively disabled" + ], + [ + "r_ssaoMultiRes", + "Screen Space Ambient Occlusion calculation occurs at half linear resolution" + ], + [ + "r_ssaoPower", + "Power curve applied to SSAO factor" + ], + [ + "r_ssaoRejectDepth", + "Depth at which the SSAO is disabled. Smaller values result in more rejected pixels which is faster, but limits the distance at which the effect is visible." + ], + [ + "r_ssaoSampleCount", + "Selects the number of samples used for SSAO" + ], + [ + "r_ssaoScriptScale", + "Allows script to lerp to disable or enable the SSAO. This applies a scalar value to the SSAO strength. When set to 0, this effectively disables SSAO." + ], + [ + "r_ssaoStrength", + "Strength of Screen Space Ambient Occlusion effect" + ], + [ + "r_ssaoUseTweaks", + "Use r_ssao* dvars instead of the current light set values for SSAO" + ], + [ + "r_ssaoWidth", + "The width of the SSAO effect, in pixels at 720p. Larger values increase area but lower effective quality." + ], + [ + "r_sse_skinning", + "Use Streaming SIMD Extensions for skinning" + ], + [ + "r_ssrBlendScale", + "Add extra scale to ssr weight versus reflection probe weight, >1 value will make ssr more obvious." + ], + [ + "r_ssrFadeInDuration", + "Duration of the screen-space reflection fade-in, which occurs whenever the reflection source buffer is invalidated due to view changes (in particular, dual-view scope transitions)." + ], + [ + "r_ssrPositionCorrection", + "Screen space reflection position correction blend factor" + ], + [ + "r_ssrRoughnessMipParameters", + "X: mirror mip; Y: roughest mip; Z: roughness middle point, may need different value for different screen resolution on PC." + ], + [ + "r_sssBlendWeight", + "Controls the blend between the wide (zero) and narrow (one) gaussians" + ], + [ + "r_sssDebugMaterial", + "Debug Feature: toggle materials with SSS" + ], + [ + "r_sssEnable", + "Enables the subsurface scattering effect (note that disabling SSS will not prevent the filter from running)" + ], + [ + "r_sssGlobalRadius", + "Controls the global radius (in inches)" + ], + [ + "r_sssJitterRadius", + "Percentage of the kernel to be jittered" + ], + [ + "r_sssNarrowRadius", + "Controls the narrow Gaussian radius" + ], + [ + "r_sssPreset", + "Changes subsurface scattering quality" + ], + [ + "r_sssWideRadius", + "Controls the wide Gaussian radius" + ], + [ + "r_subdiv", + "Enables Catmull Clark surface subdivision." + ], + [ + "r_subdivLimit", + "Set the maximum Catmull Clark subdivision level." + ], + [ + "r_subdivPatchCount", + "Patches per thread group for sub-division surfaces." + ], + [ + "r_subdomainLimit", + "Maximum number of extra tessellation subdivisions using instancing (max tess amts are 0:64, 1:128, 2:192, 3:256, max instances used are 0:1, 1:4, 2:9, 3:12)" + ], + [ + "r_subdomainScale", + "Debug only: Scales the extra subdivision amount (for values < 1, not all instanced sub triangles will draw)." + ], + [ + "r_subwindow", + "subwindow to draw: left, right, top, bottom" + ], + [ + "r_sun_from_dvars", + "Set sun flare values from dvars rather than the level" + ], + [ + "r_sun_fx_position", + "Position in degrees of the sun effect" + ], + [ + "r_sunblind_fadein", + "time in seconds to fade blind from 0% to 100%" + ], + [ + "r_sunblind_fadeout", + "time in seconds to fade blind from 100% to 0%" + ], + [ + "r_sunblind_max_angle", + "angle from sun in degrees inside which effect is max" + ], + [ + "r_sunblind_max_darken", + "0-1 fraction for how black the world is at max blind" + ], + [ + "r_sunblind_min_angle", + "angle from sun in degrees outside which effect is 0" + ], + [ + "r_sunflare_fadein", + "time in seconds to fade alpha from 0% to 100%" + ], + [ + "r_sunflare_fadeout", + "time in seconds to fade alpha from 100% to 0%" + ], + [ + "r_sunflare_max_alpha", + "0-1 vertex color and alpha of sun at max effect" + ], + [ + "r_sunflare_max_angle", + "angle from sun in degrees inside which effect is max" + ], + [ + "r_sunflare_max_size", + "largest size of flare effect in pixels at 640x480" + ], + [ + "r_sunflare_min_angle", + "angle from sun in degrees outside which effect is 0" + ], + [ + "r_sunflare_min_size", + "smallest size of flare effect in pixels at 640x480" + ], + [ + "r_sunflare_shader", + "name for flare effect; can be any material" + ], + [ + "r_sunglare_fadein", + "time in seconds to fade glare from 0% to 100%" + ], + [ + "r_sunglare_fadeout", + "time in seconds to fade glare from 100% to 0%" + ], + [ + "r_sunglare_max_angle", + "angle from sun in degrees inside which effect is max" + ], + [ + "r_sunglare_max_lighten", + "0-1 fraction for how white the world is at max glare" + ], + [ + "r_sunglare_min_angle", + "angle from sun in degrees inside which effect is max" + ], + [ + "r_sunInfDist", + "Sun infinite distance used to place sun fx" + ], + [ + "r_sunshadowmap_cmdbuf_worker", + "Process shadowmap command buffer in a separate thread" + ], + [ + "r_sunsprite_shader", + "name for static sprite; can be any material" + ], + [ + "r_sunsprite_size", + "diameter in pixels at 640x480 and 80 fov" + ], + [ + "r_surfaceHDRScalarUseTweaks", + "Enables lit and unlit surface scalar tweaks" + ], + [ + "r_tessellation", + "Enables tessellation of world geometry, with an optional cutoff distance." + ], + [ + "r_tessellationCutoffDistance", + "Distance at which world geometry ceases to tessellate." + ], + [ + "r_tessellationCutoffFalloff", + "Range over which tessellation is faded out, up to the cutoff." + ], + [ + "r_tessellationEyeScale", + "Scale applied due to eye * object normal for less tessellation on facing polygons." + ], + [ + "r_tessellationFactor", + "Target edge length, based on dividing full window height by this factor, for dynamic tessellation. Use zero to disable tessellation." + ], + [ + "r_tessellationHeightAuto", + "Correctly auto scale displacement heights for layers to grow as texture is stretched over larger surface areas to preserve feature proportions." + ], + [ + "r_tessellationHeightScale", + "Displacement height scale factor." + ], + [ + "r_tessellationHybrid", + "Hybrid per pixel displacement scale." + ], + [ + "r_tessellationLodBias", + "Displacement map lod bias." + ], + [ + "r_texFilterAnisoMax", + "Maximum anisotropy to use for texture filtering" + ], + [ + "r_texFilterAnisoMin", + "Minimum anisotropy to use for texture filtering (overridden by max)" + ], + [ + "r_texFilterDisable", + "Disables all texture filtering (uses nearest only.)" + ], + [ + "r_texFilterMipBias", + "Change the mipmap bias" + ], + [ + "r_texFilterMipMode", + "Forces all mipmaps to use a particular blend between levels (or disables mipping.)" + ], + [ + "r_texFilterProbeBilinear", + "Force reflection probe to use bilinear filter" + ], + [ + "r_texShowMipMode", + "Forces textures with the specified mip filtering to draw black." + ], + [ + "r_thermalColorOffset", + "Offset of the thermal colors (offset + scale*color)" + ], + [ + "r_thermalColorScale", + "Scale of the thermal colors (offset + scale*color)" + ], + [ + "r_thermalDetailScale", + "Scale of the detail that is added to the thermal map from the normal map (multiplies the detail amount from AssetManager)" + ], + [ + "r_thermalFadeColor", + "Color the thermal fades to at distance." + ], + [ + "r_thermalFadeControl", + "Select thermal fade mode" + ], + [ + "r_thermalFadeMax", + "Distance at which thermal stops fading" + ], + [ + "r_thermalFadeMin", + "Distance at which thermal starts fading" + ], + [ + "r_tonemap", + "HDR Tonemapping mode" + ], + [ + "r_tonemapAdaptSpeed", + "HDR Tonemap exposure adaptation speed" + ], + [ + "r_tonemapAuto", + "HDR Tonemapping performs auto-exposure" + ], + [ + "r_tonemapAutoExposureAdjust", + "HDR Tonemap Auto Exposure Adjust value (set to 0.0 for automatic adjustment)" + ], + [ + "r_tonemapBlack", + "HDR Filmic Tonemap black point" + ], + [ + "r_tonemapBlend", + "HDR Tonemapping blends between exposures" + ], + [ + "r_tonemapCrossover", + "HDR Filmic Tonemap crossover point" + ], + [ + "r_tonemapDarkEv", + "HDR Tonemap Dark EV" + ], + [ + "r_tonemapDarkExposureAdjust", + "HDR Tonemap Dark Exposure Adjust" + ], + [ + "r_tonemapExposure", + "HDR Tonemap exposure (in EV) override (only works in non-auto mode)" + ], + [ + "r_tonemapExposureAdjust", + "HDR Tonemap exposure adjustment (in EV, 0 is no adjustment, works like a camera where +1 reduces EV by 1)" + ], + [ + "r_tonemapGamma", + "HDR Tonemap gamma curve power" + ], + [ + "r_tonemapHighlightRange", + "HDR Tonemap dynamic range, which determines white point luminance" + ], + [ + "r_tonemapLightEv", + "HDR Tonemap Light EV" + ], + [ + "r_tonemapLightExposureAdjust", + "HDR Tonemap Light Exposure Adjust" + ], + [ + "r_tonemapLockAutoExposureAdjust", + "HDR Tonemapping lock auto exposure adjust" + ], + [ + "r_tonemapMaxExposure", + "HDR Tonemap maximum exposure (in EV)" + ], + [ + "r_tonemapMaxExposureAdjust", + "HDR Tonemap Max Exposure Adjust" + ], + [ + "r_tonemapMidEv", + "HDR Tonemap Mid EV" + ], + [ + "r_tonemapMidExposureAdjust", + "HDR Tonemap Mid Exposure Adjust" + ], + [ + "r_tonemapMinExposureAdjust", + "HDR Tonemap Min Exposure Adjust" + ], + [ + "r_tonemapShoulder", + "HDR Filmic Tonemap shoulder control (0 is linear)" + ], + [ + "r_tonemapToe", + "HDR Filmic Tonemap toe control (0 is linear)" + ], + [ + "r_tonemapUseCS", + "HDR Tonemapping uses compute shader." + ], + [ + "r_tonemapUseTweaks", + "Override tone map LightSet settings with tweak dvar values." + ], + [ + "r_tonemapWhite", + "HDR Filmic Tonemap white point" + ], + [ + "r_ui3d_debug_display", + "Show UI3D debug overlay" + ], + [ + "r_ui3d_h", + "ui3d texture window height" + ], + [ + "r_ui3d_use_debug_values", + "Use UI debug values" + ], + [ + "r_ui3d_w", + "ui3d texture window width" + ], + [ + "r_ui3d_x", + "ui3d texture window x" + ], + [ + "r_ui3d_y", + "ui3d texture window y" + ], + [ + "r_uiBlurDstMode", + "UI blur distortion mode. Fast uses the scene mip map render target, PostSun uses a downsampled post sun resolve buffer, PostSun HQ uses a gaussian blurred post sun resolve buffer." + ], + [ + "r_umbra", + "Enables Umbra-based portal culling." + ], + [ + "r_umbraAccurateOcclusionThreshold", + "The distance (in inches) to which accurate occlusion information is gathered. -1.0 = deduced automatically." + ], + [ + "r_umbraExclusive", + "Toggle Umbra for exclusive static culling (disables static portal dpvs)" + ], + [ + "r_umbraQueryParts", + "The number of parts the Umbra query frustum is broken into for async query processing as an M x N grid (0, 0 = all queries are synchronous)." + ], + [ + "r_umbraUseBadPlaces", + "Enable/disable ability to disable umbra when inside special volumes defined in mp/umbraBadPlaces.csv." + ], + [ + "r_umbraUseDpvsCullDist", + "Use cull distance from the DPVS instead of the far plane distance." + ], + [ + "r_unlitSurfaceHDRScalar", + "Vision set based scalar applied to unlit surfaces to balance those surfaces with the luminance of the scene" + ], + [ + "r_useComputeSkinning", + "Enables compute shader (GPU) skinning." + ], + [ + "r_useLayeredMaterials", + "Set to true to use layered materials on shader model 3 hardware" + ], + [ + "r_useLightGridDefaultFXLightingLookup", + "Enable/disable default fx lighting lookup\n" + ], + [ + "r_useLightGridDefaultModelLightingLookup", + "Enable/disable default model lighting lookup\n" + ], + [ + "r_useShadowGeomOpt", + "Enable iwRad shadow geometry optimization. It only works when we have the data generated in iwRad." + ], + [ + "r_useSunShadowPortals", + "Enable sun shadow portals when dir light change and not using cached shadow." + ], + [ + "r_useXAnimIK", + "Enables IK animation." + ], + [ + "r_vc_makelog", + "Enable logging of light grid points for the vis cache. 1 starts from scratch, 2 appends." + ], + [ + "r_vc_showlog", + "Show this many rows of light grid points for the vis cache" + ], + [ + "r_veil", + "Apply veiling luminance (HDR glow)" + ], + [ + "r_veilAntialiasing", + "Veil antialiasing mode (downsample technique used for first mip)." + ], + [ + "r_veilBackgroundStrength", + "Strength of background when applying veiling luminance (HDR glow)" + ], + [ + "r_veilFalloffScale1", + "Controls the size of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)" + ], + [ + "r_veilFalloffScale2", + "Controls the size of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)" + ], + [ + "r_veilFalloffWeight1", + "Controls the weight of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)" + ], + [ + "r_veilFalloffWeight2", + "Controls the weight of individual Gaussians (Gaussians 4-6 in XYZ, where Gaussian 6 is the wider one)" + ], + [ + "r_veilFilter", + "Changes the veil filtering mode" + ], + [ + "r_veilPreset", + "Changes veil sampling quality" + ], + [ + "r_veilRadius", + "Controls the radius of the first Gaussian in virtual pixels (remaining Gaussians follow proportionally)." + ], + [ + "r_veilStrength", + "Strength of veiling luminance (HDR glow)" + ], + [ + "r_veilUseTweaks", + "Override veil LightSet settings with tweak dvar values." + ], + [ + "r_velocityPrepass", + "Perform velocity rendering during the depth prepass" + ], + [ + "r_viewModelLightAmbient", + "" + ], + [ + "r_viewModelPrimaryLightTweakDiffuseStrength", + "Tweak the diffuse intensity for view model primary lights" + ], + [ + "r_viewModelPrimaryLightTweakSpecularStrength", + "Tweak the specular intensity for view model primary lights" + ], + [ + "r_viewModelPrimaryLightUseTweaks", + "" + ], + [ + "r_volumeLightScatter", + "Enables volumetric light scattering" + ], + [ + "r_volumeLightScatterAngularAtten", + "Distance of sun from center of screen before angular attenuation starts for god rays" + ], + [ + "r_volumeLightScatterBackgroundDistance", + "Distance at which pixels are considered background for volume light scatter effect" + ], + [ + "r_volumeLightScatterColor", + "" + ], + [ + "r_volumeLightScatterDepthAttenFar", + "Pixels >= than this depth recieve full volume light scatter." + ], + [ + "r_volumeLightScatterDepthAttenNear", + "Pixels <= than this depth recieve no volume light scatter." + ], + [ + "r_volumeLightScatterEv", + "Light intensity (in EV) for volumetric light scattering" + ], + [ + "r_volumeLightScatterLinearAtten", + "Coefficient of linear attenuation of god rays" + ], + [ + "r_volumeLightScatterQuadraticAtten", + "Coefficient of quadratic attenuation of god rays)" + ], + [ + "r_volumeLightScatterUseTweaks", + "Enables volumetric light scattering tweaks" + ], + [ + "r_vsync", + "Enable v-sync before drawing the next frame to avoid 'tearing' artifacts." + ], + [ + "r_warningRepeatDelay", + "Number of seconds after displaying a \"per-frame\" warning before it will display again" + ], + [ + "r_wideTessFactorsThreshold", + "If a surface has more than this many triangles, process triangles in parallel instead of surfaces." + ], + [ + "r_zfar", + "Change the distance at which culling fog reaches 100% opacity; 0 is off" + ], + [ + "r_znear", + "Things closer than this aren't drawn. Reducing this increases z-fighting in the distance." + ], + [ + "radarjamDistMax", + "" + ], + [ + "radarjamDistMin", + "" + ], + [ + "radarjamSinCurve", + "" + ], + [ + "radius_damage_debug", + "Turn on debug lines for radius damage traces" + ], + [ + "ragdoll_baselerp_time", + "Default time ragdoll baselerp bones take to reach the base pose" + ], + [ + "ragdoll_bullet_force", + "Bullet force applied to ragdolls" + ], + [ + "ragdoll_bullet_upbias", + "Upward bias applied to ragdoll bullet effects" + ], + [ + "ragdoll_dump_anims", + "Dump animation data when ragdoll fails" + ], + [ + "ragdoll_enable", + "Turn on ragdoll death animations" + ], + [ + "ragdoll_explode_force", + "Explosive force applied to ragdolls" + ], + [ + "ragdoll_explode_upbias", + "Upwards bias applied to ragdoll explosion effects" + ], + [ + "ragdoll_exploding_bullet_force", + "Force applied to ragdolls from explosive bullets" + ], + [ + "ragdoll_exploding_bullet_upbias", + "Upwards bias applied to ragdoll from explosive bullets" + ], + [ + "ragdoll_idle_min_velsq", + "Minimum squared speed a ragdoll body needs to be moving before it will shut down due to time" + ], + [ + "ragdoll_jitter_scale", + "Scale up or down the effect of physics jitter on ragdolls" + ], + [ + "ragdoll_jointlerp_time", + "Default time taken to lerp down ragdoll joint friction" + ], + [ + "ragdoll_link_to_moving_platform", + "Enable client-side linking of ragdolls to script brush models when they go idle." + ], + [ + "ragdoll_max_life", + "Max lifetime of a ragdoll system in msec" + ], + [ + "ragdoll_max_simulating", + "Max number of simultaneous active ragdolls - archived" + ], + [ + "ragdoll_max_stretch_pct", + "Force ragdoll limbs to not stretch more than this percentage in one frame" + ], + [ + "ragdoll_mp_limit", + "Max number of simultaneous active ragdolls - archived" + ], + [ + "ragdoll_mp_resume_share_after_killcam", + "Msec after returning from killcam that splitscreen players will share ragdolls again." + ], + [ + "ragdoll_resolve_penetration_bias", + "Bias value on force to push ragdolls out of environment." + ], + [ + "ragdoll_rotvel_scale", + "Ragdoll rotational velocity estimate scale" + ], + [ + "ragdoll_self_collision_scale", + "Scale the size of the collision capsules used to prevent ragdoll limbs from interpenetrating" + ], + [ + "ragdoll_stretch_iters", + "Iterations to run the alternate limb solver" + ], + [ + "rankedPlayEndMatchKeepLobby", + "keep the lobby if the lobby host is in our private party." + ], + [ + "rankedPlaylistLockoutDuration", + "Time in seconds to lock the ranked play playlist if a player quit the match early." + ], + [ + "rate", + "Player's preferred network rate" + ], + [ + "RemoteCameraSounds_DryLevel", + "" + ], + [ + "RemoteCameraSounds_RoomType", + "" + ], + [ + "RemoteCameraSounds_WetLevel", + "" + ], + [ + "requireOpenNat", + "" + ], + [ + "restrictMapPacksToGroups", + "Restrict map pack usage to needing all maps in an ala carte package in order to use as search criteria" + ], + [ + "riotshield_bullet_damage_scale", + "Value to scale bullet damage to deployed riotshield." + ], + [ + "riotshield_deploy_limit_radius", + "Min distance deployed riotshields must be from each other." + ], + [ + "riotshield_deploy_trace_parallel", + "Report collisions when riotshield traces are parallel to plane of triangle. If disabled traces parallel to triangle planes do not report collisions at all." + ], + [ + "riotshield_deployed_health", + "Deployed riotshield health." + ], + [ + "riotshield_destroyed_cleanup_time", + "Time (in seconds) destroyed riotshield model persists before disappearing" + ], + [ + "riotshield_explosive_damage_scale", + "Value to scale explosive damage to deployed riotshield.." + ], + [ + "riotshield_melee_damage_scale", + "Value to scale melee damage to deployed riotshield." + ], + [ + "riotshield_projectile_damage_scale", + "Value to scale projectile damage to deployed riotshield." + ], + [ + "s_aggregate_ping_offset", + "offset to apply to aggregate ping values" + ], + [ + "s_aggregate_ping_scale", + "8-bit fixed-point aggregate ping scaler value" + ], + [ + "s_avg_max_weighting", + "weighting from 0-256 of party average ping vs. worst ping" + ], + [ + "s_ds_pingclient_reping_wait_db", + "wait this# of frames for the db thread to settle down before repinging" + ], + [ + "s_use_aggregate_datacenter_pings", + "use newer system for aggregating party pings" + ], + [ + "safeArea_adjusted_horizontal", + "User-adjustable horizontal safe area as a fraction of the screen width" + ], + [ + "safeArea_adjusted_vertical", + "User-adjustable vertical safe area as a fraction of the screen height" + ], + [ + "safeArea_horizontal", + "Horizontal safe area as a fraction of the screen width" + ], + [ + "safeArea_vertical", + "Vertical safe area as a fraction of the screen height" + ], + [ + "scr_conf_numlives", + "" + ], + [ + "scr_conf_playerrespawndelay", + "" + ], + [ + "scr_conf_roundlimit", + "" + ], + [ + "scr_conf_scorelimit", + "" + ], + [ + "scr_conf_timelimit", + "" + ], + [ + "scr_conf_waverespawndelay", + "" + ], + [ + "scr_conf_winlimit", + "" + ], + [ + "scr_default_maxagents", + "" + ], + [ + "scr_diehard", + "" + ], + [ + "scr_disableClientSpawnTraces", + "" + ], + [ + "scr_dm_numlives", + "" + ], + [ + "scr_dm_playerrespawndelay", + "" + ], + [ + "scr_dm_roundlimit", + "" + ], + [ + "scr_dm_scorelimit", + "" + ], + [ + "scr_dm_timelimit", + "" + ], + [ + "scr_dm_waverespawndelay", + "" + ], + [ + "scr_dm_winlimit", + "" + ], + [ + "scr_dom_numlives", + "" + ], + [ + "scr_dom_playerrespawndelay", + "" + ], + [ + "scr_dom_roundlimit", + "" + ], + [ + "scr_dom_scorelimit", + "" + ], + [ + "scr_dom_timelimit", + "" + ], + [ + "scr_dom_waverespawndelay", + "" + ], + [ + "scr_dom_winlimit", + "" + ], + [ + "scr_explBulletMod", + "" + ], + [ + "scr_game_allowkillcam", + "script allow killcam" + ], + [ + "scr_game_deathpointloss", + "" + ], + [ + "scr_game_forceuav", + "" + ], + [ + "scr_game_graceperiod", + "" + ], + [ + "scr_game_hardpoints", + "" + ], + [ + "scr_game_killstreakdelay", + "" + ], + [ + "scr_game_lockspectatorpov", + "Lock spectator mode globally, 0=freelook/unlocked, 1=first_person, 2=third_person" + ], + [ + "scr_game_onlyheadshots", + "" + ], + [ + "scr_game_perks", + "" + ], + [ + "scr_game_spectatetype", + "" + ], + [ + "scr_game_suicidepointloss", + "" + ], + [ + "scr_gameended", + "" + ], + [ + "scr_hardcore", + "" + ], + [ + "scr_horde_difficulty", + "" + ], + [ + "scr_horde_maxagents", + "" + ], + [ + "scr_horde_numlives", + "" + ], + [ + "scr_horde_playerrespawndelay", + "" + ], + [ + "scr_horde_roundlimit", + "" + ], + [ + "scr_horde_scorelimit", + "" + ], + [ + "scr_horde_timelimit", + "" + ], + [ + "scr_horde_waverespawndelay", + "" + ], + [ + "scr_horde_winlimit", + "" + ], + [ + "scr_infect_numlives", + "" + ], + [ + "scr_infect_playerrespawndelay", + "" + ], + [ + "scr_infect_roundlimit", + "" + ], + [ + "scr_infect_timelimit", + "" + ], + [ + "scr_infect_waverespawndelay", + "" + ], + [ + "scr_infect_winlimit", + "" + ], + [ + "scr_isgamescom", + "script use gamescom demo flow" + ], + [ + "scr_maxPerPlayerExplosives", + "" + ], + [ + "scr_nukeCancelMode", + "" + ], + [ + "scr_nukeTimer", + "" + ], + [ + "scr_patientZero", + "" + ], + [ + "scr_player_forcerespawn", + "" + ], + [ + "scr_player_healthregentime", + "" + ], + [ + "scr_player_maxhealth", + "" + ], + [ + "scr_player_numlives", + "" + ], + [ + "scr_player_respawndelay", + "" + ], + [ + "scr_player_sprinttime", + "" + ], + [ + "scr_player_suicidespawndelay", + "" + ], + [ + "scr_RequiredMapAspectratio", + "" + ], + [ + "scr_riotShieldXPBullets", + "" + ], + [ + "scr_sd_bombtimer", + "" + ], + [ + "scr_sd_defusetime", + "" + ], + [ + "scr_sd_multibomb", + "" + ], + [ + "scr_sd_numlives", + "" + ], + [ + "scr_sd_planttime", + "" + ], + [ + "scr_sd_playerrespawndelay", + "" + ], + [ + "scr_sd_roundlimit", + "" + ], + [ + "scr_sd_roundswitch", + "" + ], + [ + "scr_sd_scorelimit", + "" + ], + [ + "scr_sd_timelimit", + "" + ], + [ + "scr_sd_waverespawndelay", + "" + ], + [ + "scr_sd_winlimit", + "" + ], + [ + "scr_sr_bombtimer", + "" + ], + [ + "scr_sr_defusetime", + "" + ], + [ + "scr_sr_multibomb", + "" + ], + [ + "scr_sr_numlives", + "" + ], + [ + "scr_sr_planttime", + "" + ], + [ + "scr_sr_playerrespawndelay", + "" + ], + [ + "scr_sr_roundlimit", + "" + ], + [ + "scr_sr_roundswitch", + "" + ], + [ + "scr_sr_scorelimit", + "" + ], + [ + "scr_sr_timelimit", + "" + ], + [ + "scr_sr_waverespawndelay", + "" + ], + [ + "scr_sr_winlimit", + "" + ], + [ + "scr_team_fftype", + "script team friendly fire type" + ], + [ + "scr_team_respawntime", + "" + ], + [ + "scr_team_teamkillpointloss", + "" + ], + [ + "scr_team_teamkillspawndelay", + "" + ], + [ + "scr_thirdPerson", + "" + ], + [ + "scr_tispawndelay", + "" + ], + [ + "scr_war_halftime", + "" + ], + [ + "scr_war_numlives", + "" + ], + [ + "scr_war_playerrespawndelay", + "" + ], + [ + "scr_war_roundlimit", + "" + ], + [ + "scr_war_roundswitch", + "" + ], + [ + "scr_war_scorelimit", + "" + ], + [ + "scr_war_timelimit", + "" + ], + [ + "scr_war_waverespawndelay", + "" + ], + [ + "scr_war_winlimit", + "" + ], + [ + "scr_xpscale", + "" + ], + [ + "screenshots_active", + "Are we allowed to enable Screenshots or not" + ], + [ + "search_weight_asn", + "The weight used for the asn in weighted matchmaking." + ], + [ + "search_weight_country_code", + "The weight used for the country code in weighted matchmaking." + ], + [ + "search_weight_lat_long", + "The weight used for the lat long in weighted matchmaking." + ], + [ + "sensitivity", + "Mouse sensitivity" + ], + [ + "sentry_placement_feet_offset", + "Position of the feet from the center axis." + ], + [ + "sentry_placement_feet_trace_dist_z", + "Max distance for a foot to be considered touching the ground" + ], + [ + "sentry_placement_trace_dist", + "Distance along the trace axis where the sentry will attempt to position itself" + ], + [ + "sentry_placement_trace_min_normal", + "Minimum normal to accept a sentry position" + ], + [ + "sentry_placement_trace_parallel", + "Enable turret traces that are parallel to plane of triangle. If 0, traces parallel to triangle planes do not report collisions at all. If 2 (debug-only), then trace code ping pongs between new and old." + ], + [ + "sentry_placement_trace_pitch", + "Pitch used for the trace axis" + ], + [ + "sentry_placement_trace_radius", + "Radius of the bound used for the placement trace" + ], + [ + "sentry_placement_trace_radius_canon_safety", + "Extra radius used in the forward direction to compensate for the canon length" + ], + [ + "server1", + "" + ], + [ + "server10", + "" + ], + [ + "server11", + "" + ], + [ + "server12", + "" + ], + [ + "server13", + "" + ], + [ + "server14", + "" + ], + [ + "server15", + "" + ], + [ + "server16", + "" + ], + [ + "server2", + "" + ], + [ + "server3", + "" + ], + [ + "server4", + "" + ], + [ + "server5", + "" + ], + [ + "server6", + "" + ], + [ + "server7", + "" + ], + [ + "server8", + "" + ], + [ + "server9", + "" + ], + [ + "session_immediateDeleteTinySessions", + "Whether to immediately delete sessions with 1 user" + ], + [ + "session_modify_retry_on_failure", + "Enable session modify retry on failures." + ], + [ + "session_nonblocking", + "Non-blocking Session code" + ], + [ + "sf_use_bw", + "Intel Cheat - CoD Noir." + ], + [ + "sf_use_chaplin", + "Intel Cheat - Ragtime Warfare." + ], + [ + "sf_use_clustergrenade", + "Intel Cheat - Cluster Bombs." + ], + [ + "sf_use_contrast", + "Intel Cheat - Super Contrast." + ], + [ + "sf_use_ignoreammo", + "Intel Cheat - Infinite Ammo." + ], + [ + "sf_use_invert", + "Intel Cheat - Photo-Negative." + ], + [ + "sf_use_lemonade_mode", + "Intel Cheat - Lemon-nade." + ], + [ + "sf_use_melon_mode", + "Intel Cheat - Melon Heads." + ], + [ + "sf_use_ragdoll_mode", + "Intel Cheat - Ragdoll Impact." + ], + [ + "sf_use_slowmo", + "Intel Cheat - Slow-Mo Ability." + ], + [ + "sf_use_tire_explosion", + "Intel Cheat - A Bad Year." + ], + [ + "sf_use_tracksuit_mode", + "Intel Cheat - Zakhaev's Sons." + ], + [ + "shortversion", + "Short game version" + ], + [ + "showDebugAmmoCounter", + "Show the debug ammo counter when unable to show ar ammo counter" + ], + [ + "showPlaylistTotalPlayers", + "Toggle the display of the total number of players in a playlist and online" + ], + [ + "sm_cacheSpotShadows", + "Cache spot shadow maps, improves shadow map performance at the cost of memory (requires vid_restart)" + ], + [ + "sm_cacheSpotShadowsEnabled", + "Enables caching of spot shadows." + ], + [ + "sm_cacheSunShadow", + "Cache sun shadow map, improves shadow map performance at the cost of memory (requires vid_restart)" + ], + [ + "sm_cacheSunShadowEnabled", + "Enables caching of sun-based shadows." + ], + [ + "sm_cameraOffset", + "" + ], + [ + "sm_dynlightAllSModels", + "Enable, from script, rendering all static models in dynamic light volume when shadow mapping" + ], + [ + "sm_enable", + "Enable shadow mapping" + ], + [ + "sm_fastSunShadow", + "Fast sun shadow" + ], + [ + "sm_lightScore_eyeProjectDist", + "When picking shadows for primary lights, measure distance from a point this far in front of the camera." + ], + [ + "sm_lightScore_spotProjectFrac", + "When picking shadows for primary lights, measure distance from a point this far in front of the camera." + ], + [ + "sm_maxLightsWithShadows", + "Limits how many primary lights can have shadow maps" + ], + [ + "sm_minSpotLightScore", + "Minimum score (based on intensity, radius, and position relative to the camera) for a spot light to have shadow maps." + ], + [ + "sm_polygonOffsetBias", + "Shadow map offset bias" + ], + [ + "sm_polygonOffsetClamp", + "Shadow map offset clamp" + ], + [ + "sm_polygonOffsetPreset", + "Shadow map polygon offset preset." + ], + [ + "sm_polygonOffsetScale", + "Shadow map offset scale" + ], + [ + "sm_qualitySpotShadow", + "Fast spot shadow" + ], + [ + "sm_shadowUseTweaks", + "Override shadow LightSet settings with tweak dvar values." + ], + [ + "sm_spotDistCull", + "Distance cull spot shadows" + ], + [ + "sm_spotEnable", + "Enable spot shadow mapping from script" + ], + [ + "sm_spotFilterRadius", + "Spot soft shadows filter radius" + ], + [ + "sm_spotLightScoreModelScale", + "Scale the calculated spot light score by this value if the light currently only affects static or script brush models." + ], + [ + "sm_spotLightScoreRadiusPower", + "Power to apply to light radius when determining spot light shadowing score (1.0 means radius scales up score a lot, 0.0 means don't scale score using radius)" + ], + [ + "sm_spotLimit", + "Limit number of spot shadows from script" + ], + [ + "sm_spotShadowFadeTime", + "How many seconds it takes for a primary light shadow map to fade in or out" + ], + [ + "sm_strictCull", + "Strict shadow map cull" + ], + [ + "sm_sunEnable", + "Enable sun shadow mapping from script" + ], + [ + "sm_sunFilterRadius", + "Sun soft shadows filter radius" + ], + [ + "sm_sunSampleSizeNear", + "Shadow sample size" + ], + [ + "sm_sunShadowBoundsMax", + "Max Shadow Bounds" + ], + [ + "sm_sunShadowBoundsMin", + "Min Shadow Bounds" + ], + [ + "sm_sunShadowBoundsOverride", + "Override Shadow Bounds" + ], + [ + "sm_sunShadowCenter", + "Sun shadow center, 0 0 0 means don't override" + ], + [ + "sm_sunShadowCenterMode", + "When false center value only used for far map, when true sets both maps" + ], + [ + "sm_sunShadowScale", + "Sun shadow scale optimization" + ], + [ + "sm_sunShadowScaleLocked", + "Lock usage of sm_sunShadowScale at 1" + ], + [ + "sm_usedSunCascadeCount", + "How many shadow cascade we are using" + ], + [ + "snd_allowHeadphoneHRTF", + "Enable HRTF over headphones" + ], + [ + "snd_announcerDisabled", + "Disable all in-game announcers" + ], + [ + "snd_announcerVoicePrefix", + "Local mp announcer voice to use" + ], + [ + "snd_battlechatterDisabled", + "Disable all in-game battle chatter" + ], + [ + "snd_cinematicVolumeScale", + "Scales the volume of Bink videos." + ], + [ + "snd_detectedSpeakerConfig", + "speaker configuration:\n0: autodetect\n1: mono\n2: stereo\n4: quadrophonic\n6: 5.1 surround\n8: 7.1 surround" + ], + [ + "snd_dopplerAuditionEnable", + "Enables doppler calculation preview mode" + ], + [ + "snd_dopplerBaseSpeedOfSound", + "The base speed of sound used in doppler calculation" + ], + [ + "snd_dopplerEnable", + "Enables doppler calculation" + ], + [ + "snd_dopplerPitchMax", + "Maximum pitch that can be legally applied by doppler" + ], + [ + "snd_dopplerPitchMin", + "Minimum pitch that can be legally applied by doppler" + ], + [ + "snd_dopplerPlayerVelocityScale", + "The scale of the player velocity, relative the the sound source velocity, when applied to the doppler calculation" + ], + [ + "snd_dopplerSmoothing", + "Smoothing factor applied to doppler to eliminate jitter or sudden acceleration changes" + ], + [ + "snd_draw3D", + "Draw the position and info of world sounds" + ], + [ + "snd_drawInfo", + "Draw debugging information for sounds" + ], + [ + "snd_enable2D", + "Enable 2D sounds" + ], + [ + "snd_enable3D", + "Enable 3D sounds" + ], + [ + "snd_enableEq", + "Enable equalization filter" + ], + [ + "snd_enableReverb", + "Enable sound reverberation" + ], + [ + "snd_enableStream", + "Enable streamed sounds" + ], + [ + "snd_envFollowerBuffScale", + "Amount of buffer to use for envelope follower. Smaller value indicates faster envelope." + ], + [ + "snd_errorOnMissing", + "Cause a Com_Error if a sound file is missing." + ], + [ + "snd_hitsoundDisabled", + "Disable the hit indicator sound" + ], + [ + "snd_inheritSecondaryPitchVol", + "Set to true for secondary aliases to inherit the pitch of the parent" + ], + [ + "snd_levelFadeTime", + "The amout of time in milliseconds for all audio to fade in at the start of a level" + ], + [ + "snd_loadFadeTime", + "Fade time for loading from a checkpoint after death." + ], + [ + "snd_loopFadeTime", + "Fade-in time for looping sounds." + ], + [ + "snd_musicDisabled", + "Disable all in-game music" + ], + [ + "snd_musicDisabledForCustomSoundtrack", + "Disable all in-game music due to user playing a custom soundtrack" + ], + [ + "snd_occlusionDelay", + "Minimum delay in (ms) between occlusion updates" + ], + [ + "snd_occlusionLerpTime", + "Time to lerp to target occlusion lerp when occluded" + ], + [ + "snd_peakLimiterCompression", + "Peak limiter compression factor. The output data is scaled by this and then normalized: F < 1 = disabled; F >= 1 enabled." + ], + [ + "snd_peakLimiterDecay", + "Peak limiter compression decay ratio." + ], + [ + "snd_peakLimiterSustainFrames", + "Number of frames to sustain the limiter peak. 1 frame = 10 msec." + ], + [ + "snd_premixVolume", + "Game sound pre-mix volume" + ], + [ + "snd_reverbZoneOutsideFactor", + "When a 3d sound is played in a different reverb zone than the player, this factor will be applied to its wet level." + ], + [ + "snd_slaveFadeTime", + "The amount of time in milliseconds for a 'slave' sound\nto fade its volumes when a master sound starts or stops" + ], + [ + "snd_speakerConfig", + "speaker configuration:\n0: autodetect\n1: mono\n2: stereo\n4: quadrophonic\n6: 5.1 surround\n8: 7.1 surround" + ], + [ + "snd_touchStreamFilesOnLoad", + "Check whether stream sound files exist while loading" + ], + [ + "snd_useOldPanning", + "Use old and busted panning" + ], + [ + "snd_virtualChannelInfo", + "Display virtual voice info." + ], + [ + "snd_virtualMinDur", + "The minimum duration (in seconds) of a sound if it is to be added to the virtual voice buffer." + ], + [ + "snd_virtualMinPri", + "The minimum priority of an alias if it is to be added to the virtual voice buffer." + ], + [ + "snd_virtualMinTimeLeftToRevive", + "The minimum time (in ms) left in a sample in order to attempt to revive it." + ], + [ + "snd_virtualReviveVoices", + "Whether or not to restore virtual voices." + ], + [ + "snd_virtualWaitToReviveTime", + "The minimum time (in ms) to wait before trying to revive the voice." + ], + [ + "snd_volume", + "Game sound master volume" + ], + [ + "speech_active", + "Are we allowed to enable Speech or not" + ], + [ + "splitscreen", + "Current game is a splitscreen game" + ], + [ + "steam_ingame_p2p_throttle", + "Time, in MS, to wait between P2P packet lookups when in-game" + ], + [ + "stringtable_debug", + "spam debug info for stringtable lookups" + ], + [ + "sv_allowClientConsole", + "Allow remote clients to access the console" + ], + [ + "sv_allowedClan1", + "" + ], + [ + "sv_allowedClan2", + "" + ], + [ + "sv_archiveClientsPositions", + "Archive the client positions to speed up SV_GetClientPositionsAtTime" + ], + [ + "sv_checkMinPlayers", + "Check min players. 0 disables" + ], + [ + "sv_clientArchive", + "Have the clients archive data to save bandwidth on the server" + ], + [ + "sv_connectTimeout", + "seconds without any message when a client is loading" + ], + [ + "sv_cumulThinkTime", + "Max client think per server 50 msec frame" + ], + [ + "sv_error_on_baseline_failure", + "Throw an error if the const baseline data is invalid." + ], + [ + "sv_exponentialBackoffAfterNonAckedMsgs", + "start exponential backoff on msg frequency if the client has not acked the last X messages" + ], + [ + "sv_hostname", + "Host name of the server" + ], + [ + "sv_hugeSnapshotDelay", + "How long to wait before building a new snapshot after a 'huge' snapshot is sent" + ], + [ + "sv_hugeSnapshotSize", + "Size of a snapshot to be considered 'huge'" + ], + [ + "sv_kickBanTime", + "Time in seconds for a player to be banned from the server after being kicked" + ], + [ + "sv_local_client_snapshot_msec", + "Local client snapshot rate, add to cl_penaltyTime" + ], + [ + "sv_maxclients", + "The maximum number of clients that can connect to a server" + ], + [ + "sv_minPingClamp", + "Clamp the minimum ping to this value" + ], + [ + "sv_network_fps", + "Number of times per second the server checks for net messages" + ], + [ + "sv_numExpBackoffBeforeReleasingCachedSnapshots", + "if a client is under an exponential backoff over this dvar, then we will release all the cached snapshot data he owns and will send him a baseline if he reconnects" + ], + [ + "sv_paused", + "Pause the server" + ], + [ + "sv_privateClients", + "Maximum number of private clients allowed on the server" + ], + [ + "sv_privateClientsForClients", + "The # of private clients (we send this to clients)" + ], + [ + "sv_privatePassword", + "password for the privateClient slots" + ], + [ + "sv_reconnectlimit", + "minimum seconds between connect messages" + ], + [ + "sv_rejoinTimeout", + "seconds without any message before allowing a rejoin" + ], + [ + "sv_remote_client_snapshot_joiningstate_msec", + "Remote client snapshot rate during join (until the client acked his first delta message)" + ], + [ + "sv_remote_client_snapshot_msec", + "Remote client snapshot rate, add to cl_penaltyTime" + ], + [ + "sv_resetOnSpawn", + "Have clients reset some player state fields when spawning rather than sending them over the network" + ], + [ + "sv_running", + "Server is running" + ], + [ + "sv_sayName", + "" + ], + [ + "sv_showAverageBPS", + "Show average bytes per second for net debugging" + ], + [ + "sv_testValue", + "Max antilag rewind" + ], + [ + "sv_timeout", + "seconds without any message" + ], + [ + "sv_trackFrameMsecThreshold", + "server frame time that will trigger script time tracking." + ], + [ + "sv_useExtraCompress", + "Use zlib compress for gamestate/baseline/score packets" + ], + [ + "sv_zlib_threshold", + "Message size threshold which triggers more aggressive compression" + ], + [ + "sv_zombietime", + "seconds to sync messages after disconnect" + ], + [ + "svwp", + "playerdata server write protection: 0 = disable, 1 = silent, 2 = kick" + ], + [ + "syncTimeTimeout", + "default timeout for sync time task (in seconds)" + ], + [ + "sys_configSum", + "Configuration checksum" + ], + [ + "sys_configureGHz", + "Normalized total CPU power, based on cpu type, count, and speed; used in autoconfigure" + ], + [ + "sys_cpuGHz", + "Measured CPU speed" + ], + [ + "sys_cpuName", + "CPU name description" + ], + [ + "sys_gpu", + "GPU description" + ], + [ + "sys_lockThreads", + "Prevents specified threads from changing CPUs; improves profiling and may fix some bugs, but can hurt performance" + ], + [ + "sys_quitMigrateTime", + "Time in msec to wait for host migration when user closes the window" + ], + [ + "sys_smp_allowed", + "Allow multi-threading" + ], + [ + "sys_SSE", + "Operating system allows Streaming SIMD Extensions" + ], + [ + "sys_sysMB", + "Physical memory in the system" + ], + [ + "systemlink", + "Current game is a system link game" + ], + [ + "systemlink_host", + "Local client is hosting system link game" + ], + [ + "tb_report", + "tb event record" + ], + [ + "team_rebalance", + "rebalance" + ], + [ + "teambalance_option", + "Selects active teambalance algorithm. 0 = heuristic 1 = exhaustive" + ], + [ + "theater_active", + "Are we allowed to show theater or not." + ], + [ + "thermal_playerModel", + "Model to draw for players when in thermal vision mode" + ], + [ + "thermalBlurFactorNoScope", + "Amount of blur to use when drawing blur through a weapon's thermal scope." + ], + [ + "thermalBlurFactorScope", + "Amount of blur to use when drawing blur through a weapon's thermal scope." + ], + [ + "timescale", + "Set the game speed." + ], + [ + "tokensEnabled", + "Is token economy enabled" + ], + [ + "tracer_explosiveColor1", + "The 1st color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_explosiveColor2", + "The 2nd color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_explosiveColor3", + "The 3rd color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_explosiveColor4", + "The 4th color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_explosiveColor5", + "The 5th color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_explosiveOverride", + "When turned on, will apply an override to the tracer settings when shooting explosive bullets." + ], + [ + "tracer_explosiveWidth", + "The width of a bullet tracer when using explosive bullets" + ], + [ + "tracer_firstPersonMaxWidth", + "The maximum width our OWN tracers can be when looking through our ADS" + ], + [ + "tracer_stoppingPowerColor1", + "The 1st color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_stoppingPowerColor2", + "The 2nd color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_stoppingPowerColor3", + "The 3rd color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_stoppingPowerColor4", + "The 4th color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_stoppingPowerColor5", + "The 5th color of a bullet tracer when using explosive bullets" + ], + [ + "tracer_stoppingPowerOverride", + "When turned on, will apply an override to the tracer settings when shooting explosive bullets." + ], + [ + "tracer_stoppingPowerWidth", + "The width of a bullet tracer when using explosive bullets" + ], + [ + "tracer_thermalWidthMult", + "The multiplier applied to the base width when viewed in thermal vision" + ], + [ + "transients_verbose", + "Verbose logging information for transient fastfiles." + ], + [ + "triggerDLCEnumerationOnSocialConfigLoad", + "Triggers a new DLC enumeration after social config has loaded." + ], + [ + "ui_allow_controlschange", + "" + ], + [ + "ui_allow_teamchange", + "" + ], + [ + "ui_autodetectGamepad", + "undefined" + ], + [ + "ui_autodetectGamepadDone", + "undefined" + ], + [ + "ui_bigFont", + "Big font scale" + ], + [ + "ui_blurAmount", + "Max amount to blur background menu items." + ], + [ + "ui_blurDarkenAmount", + "Amount to darken blurred UI." + ], + [ + "ui_blurTime", + "Time in milliseconds to fade in/out the blur." + ], + [ + "ui_borderLowLightScale", + "Scales the border color for the lowlight color on certain UI borders" + ], + [ + "ui_browserFriendlyfire", + "Friendly fire is active" + ], + [ + "ui_browserKillcam", + "Kill cam is active" + ], + [ + "ui_browserMod", + "UI Mod value" + ], + [ + "ui_browserShowDedicated", + "Show dedicated servers only" + ], + [ + "ui_browserShowEmpty", + "Show empty servers" + ], + [ + "ui_browserShowFull", + "Show full servers" + ], + [ + "ui_browserShowPassword", + "Show servers that are password protected" + ], + [ + "ui_browserShowPure", + "Show pure servers only" + ], + [ + "ui_buildLocation", + "Where to draw the build number" + ], + [ + "ui_buildSize", + "Font size to use for the build number" + ], + [ + "ui_challenge_1_ref", + "" + ], + [ + "ui_challenge_2_ref", + "" + ], + [ + "ui_challenge_3_ref", + "" + ], + [ + "ui_challenge_4_ref", + "" + ], + [ + "ui_challenge_5_ref", + "" + ], + [ + "ui_challenge_6_ref", + "" + ], + [ + "ui_challenge_7_ref", + "" + ], + [ + "ui_changeclass_menu_open", + "" + ], + [ + "ui_changeteam_menu_open", + "" + ], + [ + "ui_cinematicsTimestamp", + "Shows cinematics timestamp on subtitle UI elements." + ], + [ + "ui_class_menu_open", + "" + ], + [ + "ui_connectScreenTextGlowColor", + "Glow color applied to the mode and map name strings on the connect screen." + ], + [ + "ui_contextualMenuLocation", + "Contextual menu location from where you entered the store." + ], + [ + "ui_controls_menu_open", + "" + ], + [ + "ui_currentFeederMapIndex", + "Currently selected map" + ], + [ + "ui_currentMap", + "Current map index" + ], + [ + "ui_customClassName", + "Custom Class name" + ], + [ + "ui_customModeEditName", + "Name to give the currently edited custom game mode when editing is complete" + ], + [ + "ui_customModeName", + "Custom game mode name" + ], + [ + "ui_danger_team", + "" + ], + [ + "ui_debugMode", + "Draw ui debug info on the screen." + ], + [ + "ui_disableInGameStore", + "This will disable the ingame store button on the xbox live menu." + ], + [ + "ui_disableTokenRedemption", + "This will disable the token redemption option in the in-game store menu." + ], + [ + "ui_drawCrosshair", + "Whether to draw crosshairs." + ], + [ + "ui_editSquadMemberIndex", + "Which squad member is currently being edited" + ], + [ + "ui_extraBigFont", + "Extra big font scale" + ], + [ + "ui_game_state", + "" + ], + [ + "ui_gametype", + "Current game type" + ], + [ + "ui_halftime", + "" + ], + [ + "ui_hitloc_0", + "" + ], + [ + "ui_hitloc_1", + "" + ], + [ + "ui_hitloc_2", + "" + ], + [ + "ui_hitloc_3", + "" + ], + [ + "ui_hitloc_4", + "" + ], + [ + "ui_hitloc_5", + "" + ], + [ + "ui_hitloc_damage_0", + "" + ], + [ + "ui_hitloc_damage_1", + "" + ], + [ + "ui_hitloc_damage_2", + "" + ], + [ + "ui_hitloc_damage_3", + "" + ], + [ + "ui_hitloc_damage_4", + "" + ], + [ + "ui_hitloc_damage_5", + "" + ], + [ + "ui_hud_hardcore", + "Whether the HUD should be suppressed for hardcore mode" + ], + [ + "ui_hud_obituaries", + "" + ], + [ + "ui_inactiveBaseColor", + "The local player's rank/stats font color when shown in lobbies and parties" + ], + [ + "ui_inactivePartyColor", + "" + ], + [ + "ui_inGameStoreOpen", + "is the InGameStore open" + ], + [ + "ui_inhostmigration", + "" + ], + [ + "ui_joinGametype", + "Game join type" + ], + [ + "ui_loadMenuName", + "Frontend menu will start on this level instead of lockout" + ], + [ + "ui_mapname", + "Current map name" + ], + [ + "ui_mapvote_entrya_gametype", + "Primary map vote entry game type" + ], + [ + "ui_mapvote_entrya_mapname", + "Primary map vote entry map name" + ], + [ + "ui_mapvote_entryb_gametype", + "Secondary map vote entry game type" + ], + [ + "ui_mapvote_entryb_mapname", + "Secondary map vote entry map name" + ], + [ + "ui_maxclients", + "undefined" + ], + [ + "ui_missingMapName", + "Name of map to show in missing content error" + ], + [ + "ui_mousePitch", + "" + ], + [ + "ui_multiplayer", + "True if the game is multiplayer" + ], + [ + "ui_myPartyColor", + "Player name font color when in the same party as the local player" + ], + [ + "ui_netGametype", + "Game type" + ], + [ + "ui_netGametypeName", + "Displayed game type name" + ], + [ + "ui_netSource", + "The network source where:\n 0:Local\n 1:Internet\n 2:Favourites" + ], + [ + "ui_onlineRequired", + "UI requires online connection to be present." + ], + [ + "ui_opensummary", + "" + ], + [ + "ui_override_halftime", + "" + ], + [ + "ui_partyFull", + "True if the current party is full." + ], + [ + "ui_playerPartyColor", + "" + ], + [ + "ui_playlistActionButtonAlpha", + "The current alpha of the playlist selection button" + ], + [ + "ui_playlistCategoryDisabledColor", + "The color of playlist categories when disabled" + ], + [ + "ui_playlistCategoryEnabledColor", + "The color of playlist categories when enabled" + ], + [ + "ui_promotion", + "" + ], + [ + "ui_remoteTankUseTime", + "" + ], + [ + "ui_scorelimit", + "" + ], + [ + "ui_selectedFeederMap", + "Current preview game type" + ], + [ + "ui_serverStatusTimeOut", + "Time in milliseconds before a server status request times out" + ], + [ + "ui_show_store", + "Use to enable the store button" + ], + [ + "ui_showDLCMaps", + "Whether to display the DLC maps." + ], + [ + "ui_showInfo", + "" + ], + [ + "ui_showList", + "Show onscreen list of currently visible menus" + ], + [ + "ui_showmap", + "" + ], + [ + "ui_showMenuOnly", + "If set, only menus using this name will draw." + ], + [ + "ui_showMinimap", + "" + ], + [ + "ui_sliderSteps", + "The number of steps for a slider itemdef" + ], + [ + "ui_smallFont", + "Small font scale" + ], + [ + "ui_textScrollFadeTime", + "Text scrolling takes this long (seconds) to fade out at the end before restarting" + ], + [ + "ui_textScrollPauseEnd", + "Text scrolling waits this long (seconds) before starting" + ], + [ + "ui_textScrollPauseStart", + "Text scrolling waits this long (seconds) before starting" + ], + [ + "ui_textScrollSpeed", + "Speed at which text scrolls vertically" + ], + [ + "ui_timelimit", + "" + ], + [ + "uiscript_debug", + "spam debug info for the ui script" + ], + [ + "unlock_breadcrumb_killswitch", + "True to enable unlock breadcrumbs" + ], + [ + "uno_current_tos_version", + "Current Uno Terms of Service Version" + ], + [ + "use_filtered_query_pass", + "Dictates whether to use the filtered query for MMing or not" + ], + [ + "use_weighted_dlc_exactmatch_pass", + "Dictates whether to use a search weighted pass with the DLC match set to exact for MMing or not" + ], + [ + "use_weighted_pass", + "Dictates whether to use the search weighted pass for MMing or not" + ], + [ + "useCPMarkerForCPOwnership", + "If set, we will check the player inventory to see if he owns the redeemedItem for a contentPack if this contentPack is not available for the player" + ], + [ + "useonlinestats", + "Whether to use online stats when in offline modes" + ], + [ + "useRelativeTeamColors", + "Whether to use relative team colors." + ], + [ + "userFileFetchTimeout", + "default timeout for user files FETCH tasks (in seconds)" + ], + [ + "userGroup_active", + "Are we allowed to show Usergroups or not" + ], + [ + "userGroup_cool_off_time", + "Cool off time between calls to fetch the elite clan" + ], + [ + "userGroup_coop_delay", + "Delay between a player joining a coop lobby and the DW user group task starting" + ], + [ + "userGroup_max_retry_time", + "Max time that the usergroup read find can retry" + ], + [ + "userGroup_refresh_time_secs", + "Time in seconds between re-sending lobby group data to confirmed users." + ], + [ + "userGroup_retry_step", + "Step in m/s for the usegroup read retry" + ], + [ + "userGroup_RetryTime", + "Time in ms between sending lobby group data retrys." + ], + [ + "useStatsGroups", + "If true then StatsGroups are in use for all playerdata.ddl accessing." + ], + [ + "useTagFlashSilenced", + "When true, silenced weapons will use \"tag_flash_silenced\" instead of \"tag_flash\"." + ], + [ + "using_mlg", + "MLG feature on/off" + ], + [ + "validate_apply_clamps", + "True if individual stat validation failure reverts the value" + ], + [ + "validate_apply_revert", + "True if individual stat validation failure reverts the value" + ], + [ + "validate_apply_revert_full", + "True if any individual stat validation failure causes a full stats revert" + ], + [ + "validate_clamp_assists", + "The maximum number of assists a player can make in a match" + ], + [ + "validate_clamp_experience", + "The maximum experience a player can gain in a match" + ], + [ + "validate_clamp_headshots", + "The maximum number of headshots a player can make in a match" + ], + [ + "validate_clamp_hits", + "The maximum number of hits player can make in a match" + ], + [ + "validate_clamp_kills", + "The maximum number of kills a player can make in a match" + ], + [ + "validate_clamp_losses", + "The maximum number of losses a player can make in a match" + ], + [ + "validate_clamp_misses", + "The maximum number of misses player can make in a match" + ], + [ + "validate_clamp_ties", + "The maximum number of ties a player can make in a match" + ], + [ + "validate_clamp_totalshots", + "The maximum number of totalshots player can make in a match" + ], + [ + "validate_clamp_weaponXP", + "The maximum experience a weapon can gain in a match" + ], + [ + "validate_clamp_wins", + "The maximum number of wins a player can make in a match" + ], + [ + "validate_drop_on_fail", + "True if stats validation failure results in dropping from the match" + ], + [ + "veh_aiOverSteerScale", + "Scaler used to cause ai vehicles to over steer" + ], + [ + "veh_boneControllerLodDist", + "Distance at which bone controllers are not updated." + ], + [ + "veh_boneControllerUnLodDist", + "Distance at which bone controllers start updating when not moving." + ], + [ + "vehAudio_inAirPitchDownLerp", + "Rate at which the pitch lerps down" + ], + [ + "vehAudio_inAirPitchUpLerp", + "Rate at which the pitch lerps up" + ], + [ + "vehAudio_spawnVolumeTime", + "Seconds it takes for spawned vehicles to reach full volume." + ], + [ + "vehCam_freeLook", + "Enables free look mode" + ], + [ + "vehCam_mode", + "Camera modes: 1st person, 3rd person, or both" + ], + [ + "vehDroneDebugDrawPath", + "Debug render the drone draw paths." + ], + [ + "vehHelicopterBoundsRadius", + "The radius of the collision volume to be used when colliding with world geometry." + ], + [ + "vehHelicopterDecelerationFwd", + "Set the deceleration of the player helicopter (as a fraction of acceleration) in the direction the chopper is facing. So 1.0 makes it equal to the acceleration." + ], + [ + "vehHelicopterDecelerationSide", + "Set the side-to-side deceleration of the player helicopter (as a fraction of acceleration). So 1.0 makes it equal to the acceleration." + ], + [ + "vehHelicopterDecelerationUp", + "Set the vertical deceleration of the player helicopter (as a fraction of acceleration). So 1.0 makes it equal to the acceleration." + ], + [ + "vehHelicopterHeadSwayDontSwayTheTurret", + "If set, the turret will not fire through the crosshairs, but straight ahead of the vehicle, when the player is not freelooking." + ], + [ + "vehHelicopterHoverSpeedThreshold", + "The speed below which the player helicopter begins to jitter the tilt, for hovering" + ], + [ + "vehHelicopterInvertUpDown", + "Invert the altitude control on the player helicopter." + ], + [ + "vehHelicopterJitterJerkyness", + "Specifies how jerky the tilt jitter should be" + ], + [ + "vehHelicopterLookaheadTime", + "How far ahead (in seconds) the player helicopter looks ahead, to avoid hard collisions. (Like driving down the highway, you should keep 2 seconds distance between you and the vehicle in front of you)" + ], + [ + "vehHelicopterMaxAccel", + "Maximum horizontal acceleration of the player helicopter (in MPH per second)" + ], + [ + "vehHelicopterMaxAccelVertical", + "Maximum vertical acceleration of the player helicopter (in MPH per second)" + ], + [ + "vehHelicopterMaxPitch", + "Maximum pitch of the player helicopter" + ], + [ + "vehHelicopterMaxRoll", + "Maximum roll of the player helicopter" + ], + [ + "vehHelicopterMaxSpeed", + "Maximum horizontal speed of the player helicopter (in MPH)" + ], + [ + "vehHelicopterMaxSpeedVertical", + "Maximum vertical speed of the player helicopter (in MPH)" + ], + [ + "vehHelicopterMaxYawAccel", + "Maximum yaw acceleration of the player helicopter" + ], + [ + "vehHelicopterMaxYawRate", + "Maximum yaw speed of the player helicopter" + ], + [ + "vehHelicopterPitchOffset", + "The resting pitch of the helicopter" + ], + [ + "vehHelicopterRightStickDeadzone", + "Dead-zone for the axes of the right thumbstick. This helps to better control the two axes separately." + ], + [ + "vehHelicopterScaleMovement", + "Scales down the smaller of the left stick axes." + ], + [ + "vehHelicopterSoftCollisions", + "Player helicopters have soft collisions (slow down before they collide)." + ], + [ + "vehHelicopterStrafeDeadzone", + "Dead-zone so that you can fly straight forward easily without accidentally strafing (and thus rolling)." + ], + [ + "vehHelicopterTiltFromAcceleration", + "The amount of tilt caused by acceleration" + ], + [ + "vehHelicopterTiltFromControllerAxes", + "The amount of tilt caused by the desired velocity (i.e., the amount of controller stick deflection)" + ], + [ + "vehHelicopterTiltFromDeceleration", + "The amount of tilt caused by deceleration" + ], + [ + "vehHelicopterTiltFromFwdAndYaw", + "The amount of roll caused by yawing while moving forward." + ], + [ + "vehHelicopterTiltFromFwdAndYaw_VelAtMaxTilt", + "The forward speed (as a fraction of top speed) at which the tilt due to yaw reaches is maximum value." + ], + [ + "vehHelicopterTiltFromVelocity", + "The amount of tilt caused by the current velocity" + ], + [ + "vehHelicopterTiltMomentum", + "The amount of rotational momentum the helicopter has with regards to tilting." + ], + [ + "vehHelicopterTiltSpeed", + "The rate at which the player helicopter's tilt responds" + ], + [ + "vehHelicopterYawOnLeftStick", + "The yaw speed created by the left stick when pushing the stick diagonally (e.g., moving forward and strafing slightly)." + ], + [ + "vehicle_debug_render_spline_plane", + "Do we want to render the spline plane data" + ], + [ + "vehicle_pathsmooth", + "Smoothed vehicle pathing." + ], + [ + "vehUGVPitchTrack", + "UGV body pitch orientation speed" + ], + [ + "vehUGVRollTrack", + "UGV body roll orientation speed" + ], + [ + "vehUGVWheelInfluence", + "UGV wheel influence on the orientation of the body" + ], + [ + "vehWalkerControlMode", + "Walker controls (0==move no turn, 1=move and turn, 2=move relative(tank))" + ], + [ + "version", + "Game version" + ], + [ + "vid_xpos", + "Game window horizontal position" + ], + [ + "vid_ypos", + "Game window vertical position" + ], + [ + "viewangNow", + "" + ], + [ + "viewModelDebugNotetracks", + "Enable display of viewmodel notetrack debug info." + ], + [ + "viewModelHacks", + "Enabled depth hack and remove viewmodel from shadows." + ], + [ + "viewposNow", + "" + ], + [ + "virtualLobbyActive", + "Indicates the VL is actively being displayed." + ], + [ + "virtualLobbyAllocated", + "Indicates the first VL zone has been loaded." + ], + [ + "virtualLobbyEnabled", + "VirtualLobby is enabled (must be true before loading UI zone)" + ], + [ + "virtualLobbyInFiringRange", + "VirtualLobby is in firing range mode" + ], + [ + "virtualLobbyMap", + "VirtualLobby map to load (must be set before starting vl)" + ], + [ + "virtualLobbyMembers", + "Number of members in the VirtualLobby (set by script)" + ], + [ + "virtualLobbyPresentable", + "Indicates to LUA the VirtualLobby is ready to be displayed (set by script)." + ], + [ + "virtualLobbyReady", + "Indicates to LUA the VirtualLobby is loaded and running (set by script)." + ], + [ + "vl_clan_models_loaded", + "Indicates to LUA when all models are loaded for the clan highlights so it can begin the fade-in without any popping(set by script)." + ], + [ + "voMtxEnable", + "When set (e.g. via config), will enable voice over packs" + ], + [ + "waypointAerialIconMaxSize", + "Max size of aerial targeting waypoints." + ], + [ + "waypointAerialIconMinSize", + "Min size of aerial targeting waypoints." + ], + [ + "waypointAerialIconScale", + "Base scale of aerial targeting waypoints." + ], + [ + "waypointDebugDraw", + "" + ], + [ + "waypointDistScaleRangeMax", + "Distance from player that icon distance scaling ends." + ], + [ + "waypointDistScaleRangeMin", + "Distance from player that icon distance scaling ends." + ], + [ + "waypointDistScaleSmallest", + "Smallest scale that the distance effect uses." + ], + [ + "waypointIconHeight", + "" + ], + [ + "waypointIconWidth", + "" + ], + [ + "waypointOffscreenCornerRadius", + "Size of the rounded corners." + ], + [ + "waypointOffscreenDistanceThresholdAlpha", + "Distance from the threshold over which offscreen objective icons lerp their alpha." + ], + [ + "waypointOffscreenPadBottom", + "" + ], + [ + "waypointOffscreenPadLeft", + "" + ], + [ + "waypointOffscreenPadRight", + "" + ], + [ + "waypointOffscreenPadTop", + "" + ], + [ + "waypointOffscreenPointerDistance", + "Distance from the center of the offscreen objective icon to the center its arrow." + ], + [ + "waypointOffscreenPointerHeight", + "" + ], + [ + "waypointOffscreenPointerWidth", + "" + ], + [ + "waypointOffscreenRoundedCorners", + "Off-screen icons take rounded corners when true. 90-degree corners when false." + ], + [ + "waypointOffscreenScaleLength", + "How far the offscreen icon scale travels from full to smallest scale." + ], + [ + "waypointOffscreenScaleSmallest", + "Smallest scale that the offscreen effect uses." + ], + [ + "waypointPlayerOffsetCrouch", + "For waypoints pointing to players, how high to offset off of their origin when they are prone." + ], + [ + "waypointPlayerOffsetProne", + "For waypoints pointing to players, how high to offset off of their origin when they are prone." + ], + [ + "waypointPlayerOffsetStand", + "For waypoints pointing to players, how high to offset off of their origin when they are prone." + ], + [ + "waypointScreenCenterFadeAdsMin", + "When 'waypointScreenCenterFadeRadius' enabled, minimum amount that waypoint will fade when in ads" + ], + [ + "waypointScreenCenterFadeHipMin", + "When 'waypointScreenCenterFadeRadius' enabled, minimum amount that waypoint will fade when in ads" + ], + [ + "waypointScreenCenterFadeRadius", + "Radius from screen center that a waypoint will start fading out. Setting to 0 will turn this off" + ], + [ + "waypointSplitscreenScale", + "Scale applied to waypoint icons in splitscreen views." + ], + [ + "waypointTweakY", + "" + ], + [ + "weap_thermoDebuffMod", + "" + ], + [ + "wideScreen", + "True if the game video is running in 16x9 aspect, false if 4x3." + ], + [ + "winvoice_loopback", + "Echo microphone input locally" + ], + [ + "winvoice_mic_mute", + "Mute the microphone" + ], + [ + "winvoice_mic_outTime", + "Microphone voice amount of silence before we cut the mic" + ], + [ + "winvoice_mic_reclevel", + "Microphone recording level" + ], + [ + "winvoice_mic_scaler", + "Microphone scaler value" + ], + [ + "winvoice_mic_threshold", + "Microphone voice threshold" + ], + [ + "winvoice_save_voice", + "Write voice data to a file" + ], + [ + "xanim_disableIK", + "Disable inverse kinematics solvers" + ], + [ + "xblive_competitionmatch", + "MLG Rules?" + ], + [ + "xblive_hostingprivateparty", + "true only if we're hosting a party" + ], + [ + "xblive_loggedin", + "User is logged into xbox live" + ], + [ + "xblive_privatematch", + "Current game is a private match" + ], + [ + "xblive_privatematch_solo", + "Current game is an Extinction solo match" + ], + [ + "xphys_maxJointPositionError", + "If a joints with position error exceeding this value is detected, then the whole xphys system gets snapped back to the animation pose" + ], + [ + "aa_player_kills", + "Player kills" + ], + [ + "aa_player_damage_dealt", + "Player damages dealt" + ], + [ + "aa_ads_damage_dealt", + "Player damages dealt in ads" + ], + [ + "aa_deaths", + "Player deaths" + ], + [ + "aa_time_tracking", + "Time in game" + ] +] diff --git a/src/client/resources/icon.ico b/src/client/resources/icon.ico index b6c8943d..ba668330 100644 Binary files a/src/client/resources/icon.ico and b/src/client/resources/icon.ico differ diff --git a/src/client/resources/icon.png b/src/client/resources/icon.png index c7f4980a..625055ba 100644 Binary files a/src/client/resources/icon.png and b/src/client/resources/icon.png differ diff --git a/src/client/resources/main.html b/src/client/resources/main.html index 8faf0f5c..6e87228b 100644 --- a/src/client/resources/main.html +++ b/src/client/resources/main.html @@ -12,6 +12,7 @@ -ms-user-select: none; cursor: default; box-sizing: border-box; + line-height: 130%; } h5 { @@ -21,16 +22,16 @@ html, body { + overflow: hidden; -ms-overflow-style: none; margin: 0; - background: 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') no-repeat center center fixed; background-size: cover; background-position: center; background-repeat: no-repeat; + background-color: #202020; color: white; - font-family: "Segoe UI Light", "Segoe UI", "Lucida Sans", Arial, sans-serif; - font-style: normal; - font-weight: lighter; + font-family: "HModMix-Medium", "Segoe UI Light", "Segoe UI", "Lucida Sans", Arial, sans-serif; display: flex; min-height: 100vh; flex-direction: column; @@ -44,10 +45,9 @@ } p { - font-weight: 200; - font-size: 1.4em; + font-size: 3.1vw; color: rgb(255, 255, 255); - text-shadow: 1px 1px #000000; + text-shadow: 1px 1px 3px #000000, 0px 0 20px #000000; } a { @@ -60,14 +60,14 @@ } p a { - font-weight: bold; - color: #236b2f; + color: #66e391; text-decoration: none; - text-shadow: 2px 2px #000000; + text-shadow: 2px 1px 1px #000000, 1px 1px 3px #000000, 0 0 13px #000000; } p a:hover { - color: #00ff4c; + color: #a1fe65; + cursor: pointer; } nav { @@ -107,7 +107,7 @@ nav .nav-link { display: inline-block; - font-size: 1.3em; + font-size: 2.8vw; color: white; text-transform: uppercase; padding: 0 10px; @@ -115,15 +115,25 @@ padding: 10px 0px; margin-right: 15px; margin-bottom: -1px; + text-shadow: none; } nav .nav-link.active { border-bottom: 1px solid white; } + nav .nav-link:hover { + cursor: pointer; + } + nav .nav-link:hover, nav .nav-link.active { - text-shadow: 0px 0px 8px rgba(255, 255, 255, 0.748); + text-shadow: 0px 0px 10px rgba(255, 255, 255, 0.5); + } + + nav .nav-link.active { + border-bottom: 1px solid white; + cursor: default; } nav .nav-link:first-child { @@ -196,12 +206,10 @@ margin-left: 5px; margin-top: 0; letter-spacing: 1px; - font-weight: 200; } .container h3 { margin-bottom: 0px; - font-weight: 500; } .full-row .card { @@ -242,7 +250,7 @@ flex-direction: column; overflow: hidden; border: 1px solid #454a4d; - border-radius: 10px; + border-radius: 8px; box-shadow: 0px 0px 5px 0px rgba(0, 0, 0, 0.5); transition: all 0.5s ease; } @@ -253,7 +261,6 @@ .card .card-img { overflow: hidden; - height: 185px; } .card img { @@ -263,6 +270,7 @@ object-fit: cover; z-index: 1; transition: all 0.5s ease; + cursor: pointer; } .card.full .card-img { @@ -286,15 +294,16 @@ .card:hover .card-content { background-color: rgba(255, 255, 255, 0.321); color: rgb(255, 255, 255); - text-shadow: 1px 1px #000000; + text-shadow: 1px 1px 3px #000000; + cursor: pointer; } .card .card-content span { - font-size: 1.7em; - font-weight: 500; + font-size: 3.8vw; text-transform: uppercase; - letter-spacing: 1px; - text-shadow: 2px 2px #000000; + letter-spacing: 2px; + text-shadow: 0.3px 0 0 currentColor, 0 0.3px 0 currentColor, 2px 2px 4px #0a320a, 0px 0px 12px #317e37, 0px 1px 2px #003a02; + cursor: pointer; } .card .card-content p { @@ -305,6 +314,7 @@ opacity: 1; bottom: 0; border-color: rgba(0, 0, 0, 0.25); + cursor: pointer; } .card .card-action { @@ -319,8 +329,8 @@ text-transform: uppercase; padding: 7px; box-sizing: border-box; - font-weight: 500; transition: opacity bottom 0.5s; + font-size: 2.2vw; } .card .card-action.hidden-action { @@ -339,7 +349,6 @@ background-color: rgba(0, 0, 0, 0.2); border: 1px solid rgba(255, 255, 255, 0.42); color: white; - font-weight: 600; padding: 10px 100px; border-radius: 1px; transition: all 0.5s ease; @@ -391,6 +400,14 @@ background: linear-gradient(145deg, rgba(121, 121, 121, 1) 0%, rgba(0, 212, 255, 1) 100%); transition: all 0.2s linear; } + + @font-face { + font-family: 'HModMix-Medium'; + src: 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') 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" />
Singleplayer @@ -439,7 +456,7 @@
+ 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" />
Multiplayer @@ -466,22 +483,22 @@
-
+

Check out H1-Mod official links:
- Discord, - Website, - Docs, + Discord, + Website, + Docs, GitHub

This project is based on work from S1x and H2-Mod. + onClick="window.external.openUrl('https://github.com/fedddddd/h2-mod');">H2-Mod

diff --git a/src/client/resources/ui_scripts/updater.lua b/src/client/resources/ui_scripts/updater.lua index ac1b556a..2cb0761b 100644 --- a/src/client/resources/ui_scripts/updater.lua +++ b/src/client/resources/ui_scripts/updater.lua @@ -28,7 +28,7 @@ function startupdatecheck(popup, autoclose) LUI.yesnopopup({ title = Engine.Localize("@MENU_NOTICE"), - text = Engine.Localize("UPDATER_POPUP_AVAILABLE_UPDATE_TEXT"), + text = Engine.Localize("@MENU_CCS_NEW_PATCH_NOTICE") .. " " .. Engine.Localize("@MENU_DOWNLOAD_AUTOUPDATE_PATCH"), callback = function(result) if (result) then startupdatedownload(popup, autoclose) @@ -75,7 +75,7 @@ function startupdatedownload(popup, autoclose) if (updater.isrestartrequired()) then LUI.confirmationpopup({ title = Engine.Localize("@MENU_CCS_RESTART_CONFIRMATION_TITLE"), - text = Engine.Localize("UPDATER_POPUP_RESTART_POPUP_TEXT"), + text = Engine.Localize("@MENU_CCS_RESTART_CONFIRMATION_TEXT"), buttontext = Engine.Localize("@MENU_CCS_RESTART_BUTTON_LABEL"), callback = function() updater.relaunch() diff --git a/src/client/std_include.hpp b/src/client/std_include.hpp index 02d361c2..fe3276ab 100644 --- a/src/client/std_include.hpp +++ b/src/client/std_include.hpp @@ -48,6 +48,8 @@ #include #include #include +#include +#include // min and max is required by gdi, therefore NOMINMAX won't work #ifdef max @@ -83,12 +85,17 @@ #include #include #include +#include #include #include #include #include + +#pragma warning(push) +#pragma warning(disable: 4459) #include +#pragma warning(pop) #define RAPIDJSON_NOEXCEPT #define RAPIDJSON_ASSERT(cond) if(cond); else throw std::runtime_error("rapidjson assert fail"); diff --git a/src/client/utils/hash.cpp b/src/client/utils/hash.cpp new file mode 100644 index 00000000..2995c796 --- /dev/null +++ b/src/client/utils/hash.cpp @@ -0,0 +1,157 @@ +#include + +#include "game/game.hpp" + +#include "hash.hpp" +#include "component/console.hpp" + +#include +#include +#include + +namespace utils::hash +{ + namespace + { + constexpr auto read_buffer_size = 1ull * 1024ull * 1024ull; // 1MB + + std::string get_file_hash_pakfile(std::ifstream& file_stream, const std::size_t file_size, + const std::string& filename) + { + if (file_size < sizeof(game::XPakHeader)) + { + return {}; + } + + game::XPakHeader header{}; + file_stream.read(reinterpret_cast(&header), sizeof(game::XPakHeader)); + + constexpr auto hash_size = sizeof(game::DB_AuthHash); + + game::DB_AuthHash empty_hash{}; + if (!std::memcmp(header.hash.bytes, empty_hash.bytes, hash_size)) + { + console::warn("Computing pakfile hash because its missing, this may take some time...\n"); + + hash_state state; + sha256_init(&state); + + std::string buffer; + buffer.resize(read_buffer_size); + + auto bytes_to_read = file_size - sizeof(game::XPakHeader); + while (bytes_to_read > 0) + { + const auto read_size = std::min(read_buffer_size, bytes_to_read); + file_stream.read(buffer.data(), read_size); + sha256_process(&state, reinterpret_cast(buffer.data()), static_cast(read_size)); + bytes_to_read -= read_size; + } + + file_stream.close(); + + if (sha256_done(&state, header.hash.bytes) != CRYPT_OK) + { + return {}; + } + + std::fstream out_stream; + out_stream.open(filename, std::ios_base::binary | std::ios_base::out | std::ios_base::in); + out_stream.write(reinterpret_cast(&header), sizeof(game::XPakHeader)); + } + + const auto hash_str = std::string{header.hash.bytes, header.hash.bytes + hash_size}; + + return utils::string::dump_hex(hash_str, ""); + } + + std::string get_file_hash_generic(std::ifstream& file_stream, const std::size_t file_size) + { + auto crc_value = crc32(0L, Z_NULL, 0); + auto bytes_to_read = file_size; + + std::string buffer; + buffer.resize(read_buffer_size); + + while (bytes_to_read > 0) + { + const auto read_size = std::min(bytes_to_read, read_buffer_size); + file_stream.read(buffer.data(), read_size); + crc_value = crc32(crc_value, reinterpret_cast(buffer.data()), static_cast(read_size)); + bytes_to_read -= read_size; + } + + std::string hash; + hash.append(reinterpret_cast(&crc_value), sizeof(crc_value)); + return utils::string::dump_hex(hash, ""); + } + + std::string get_pakfile_buffer_hash(std::string& buffer) + { + if (buffer.size() < sizeof(game::XPakHeader)) + { + return {}; + } + + constexpr auto hash_size = sizeof(game::DB_AuthHash); + const auto header = reinterpret_cast(buffer.data()); + + game::DB_AuthHash empty_hash{}; + if (!std::memcmp(header->hash.bytes, empty_hash.bytes, hash_size)) + { + console::warn("Computing pakfile hash because its missing, this may take some time...\n"); + const auto hash_start = reinterpret_cast(buffer.data() + sizeof(game::XPakHeader)); + const auto len = buffer.size() - sizeof(game::XPakHeader); + const auto hash = utils::cryptography::sha256::compute(hash_start, len, false); + std::memcpy(header->hash.bytes, hash.data(), sizeof(header->hash)); + } + + std::string hash = {header->hash.bytes, header->hash.bytes + hash_size}; + return utils::string::dump_hex(hash, ""); + } + + std::string get_generic_buffer_hash(const std::string& buffer) + { + auto crc_value = crc32(0L, Z_NULL, 0); + crc_value = crc32(crc_value, reinterpret_cast(buffer.data()), + static_cast(buffer.size())); + std::string hash; + hash.append(reinterpret_cast(&crc_value), sizeof(crc_value)); + return utils::string::dump_hex(hash, ""); + } + } + + std::string get_file_hash(const std::string& file) + { + std::ifstream file_stream(file, std::ios::binary); + if (!file_stream.is_open()) + { + return {}; + } + + file_stream.seekg(0, std::ios::end); + const auto file_size = static_cast(file_stream.tellg()); + file_stream.seekg(0, std::ios::beg); + + if (file.ends_with(".pak")) + { + return get_file_hash_pakfile(file_stream, file_size, file); + } + else + { + return get_file_hash_generic(file_stream, file_size); + } + } + + std::string get_buffer_hash(std::string& buffer, const std::string& filename) + { + if (filename.ends_with(".pak")) + { + return get_pakfile_buffer_hash(buffer); + } + else + { + return get_generic_buffer_hash(buffer); + } + } +} diff --git a/src/client/utils/hash.hpp b/src/client/utils/hash.hpp new file mode 100644 index 00000000..4e5c9e56 --- /dev/null +++ b/src/client/utils/hash.hpp @@ -0,0 +1,7 @@ +#pragma once + +namespace utils::hash +{ + std::string get_file_hash(const std::string& file); + std::string get_buffer_hash(std::string& buffer, const std::string& filename); +} diff --git a/src/common/utils/flags.cpp b/src/common/utils/flags.cpp index a90247ac..539b6640 100644 --- a/src/common/utils/flags.cpp +++ b/src/common/utils/flags.cpp @@ -6,42 +6,110 @@ namespace utils::flags { - void parse_flags(std::vector& flags) + namespace { - int num_args; - auto* const argv = CommandLineToArgvW(GetCommandLineW(), &num_args); + bool parsed = false; - flags.clear(); + using flag_map_t = std::unordered_map>; - if (argv) + flag_map_t& get_flags() { - for (auto i = 0; i < num_args; ++i) - { - std::wstring wide_flag(argv[i]); - if (wide_flag[0] == L'-') - { - wide_flag.erase(wide_flag.begin()); - const auto flag = string::convert(wide_flag); - flags.emplace_back(string::to_lower(flag)); - } - } + static flag_map_t map = {}; + return map; + } - LocalFree(argv); + void parse_flags(flag_map_t& flags) + { + int num_args; + auto* const argv = CommandLineToArgvW(GetCommandLineW(), &num_args); + + flags.clear(); + + if (argv) + { + std::optional last_flag{}; + for (auto i = 0; i < num_args; ++i) + { + std::wstring wide_flag(argv[i]); + if (wide_flag[0] == L'-') + { + wide_flag.erase(wide_flag.begin()); + const auto flag = string::convert(wide_flag); + + last_flag = flag; + flags[flag] = {}; + } + else if (last_flag.has_value()) + { + const auto& flag = last_flag.value(); + + flags[flag] = string::convert(wide_flag); + last_flag = {}; + } + } + + LocalFree(argv); + } + } + + void check_parse_flags() + { + if (!parsed) + { + parse_flags(get_flags()); + parsed = true; + } } } bool has_flag(const std::string& flag) { - static auto parsed = false; - static std::vector enabled_flags; + check_parse_flags(); - if (!parsed) + for (const auto& [name, value] : get_flags()) { - parse_flags(enabled_flags); - parsed = true; + if (string::to_lower(name) == string::to_lower(flag)) + { + return true; + } } - return std::ranges::any_of(enabled_flags.cbegin(), enabled_flags.cend(), - [flag](const auto& elem) { return elem == string::to_lower(flag); }); + return false; + } + + std::optional get_flag(const std::string& flag) + { + check_parse_flags(); + + for (const auto& [name, value] : get_flags()) + { + if (string::to_lower(name) == string::to_lower(flag)) + { + return value; + } + } + + return {}; + } + + std::optional get_flag(const std::string& flag, const std::string& shortname) + { + auto value = get_flag(flag); + if (!value.has_value()) + { + value = get_flag(shortname); + } + return value; + } + + std::string get_flag(const std::string& flag, const std::string& shortname, + const std::string& default_) + { + const auto value = get_flag(flag, shortname); + if (!value.has_value()) + { + return default_; + } + return value.value(); } } diff --git a/src/common/utils/flags.hpp b/src/common/utils/flags.hpp index cf304b20..c38b076b 100644 --- a/src/common/utils/flags.hpp +++ b/src/common/utils/flags.hpp @@ -1,8 +1,13 @@ #pragma once #include +#include namespace utils::flags { bool has_flag(const std::string& flag); + std::optional get_flag(const std::string& flag); + std::optional get_flag(const std::string& flag, const std::string& shortname); + std::string get_flag(const std::string& flag, const std::string& shortname, + const std::string& default_); } diff --git a/src/common/utils/hook.cpp b/src/common/utils/hook.cpp index be05cb96..5e6bc9bb 100644 --- a/src/common/utils/hook.cpp +++ b/src/common/utils/hook.cpp @@ -3,6 +3,13 @@ #include +Mem seg_ptr(const SReg& segment, const uint64_t off) +{ + auto mem = ptr_abs(off); + mem.setSegment(segment); + return mem; +} + namespace utils::hook { namespace @@ -307,4 +314,31 @@ namespace utils::hook return extract(data + 1); } + + uint8_t* allocate_somewhere_near(const void* base_address, const size_t size) + { + size_t offset = 0; + while (true) + { + offset += size; + auto* target_address = static_cast(base_address) - offset; + if (utils::hook::is_relatively_far(base_address, target_address)) + { + return nullptr; + } + + const auto res = VirtualAlloc(const_cast(target_address), size, MEM_RESERVE | MEM_COMMIT, + PAGE_EXECUTE_READWRITE); + if (res) + { + if (utils::hook::is_relatively_far(base_address, target_address)) + { + VirtualFree(res, 0, MEM_RELEASE); + return nullptr; + } + + return static_cast(res); + } + } + } } diff --git a/src/common/utils/hook.hpp b/src/common/utils/hook.hpp index bb24f8ce..911b183d 100644 --- a/src/common/utils/hook.hpp +++ b/src/common/utils/hook.hpp @@ -1,11 +1,14 @@ #pragma once #include "signature.hpp" +#include "memory.hpp" #include #include using namespace asmjit::x86; +Mem seg_ptr(const SReg& segment, const uint64_t off); + namespace utils::hook { namespace detail @@ -202,4 +205,61 @@ namespace utils::hook { return static_cast(func)(args...); } + + uint8_t* allocate_somewhere_near(const void* base_address, const size_t size); + + template + void* allocate_far_jump() + { + constexpr auto alloc_size = 0x1000; + constexpr auto far_jmp_size = 0xC; + + const auto alloc_jump_table = [] + { + return reinterpret_cast( + memory::allocate_near(Base, alloc_size, PAGE_EXECUTE_READWRITE)); + }; + + static auto jump_table = alloc_jump_table(); + static auto current_pos = jump_table; + + if (current_pos + far_jmp_size >= jump_table + alloc_size) + { + jump_table = alloc_jump_table(); + current_pos = jump_table; + } + + const auto ptr = current_pos; + current_pos += far_jmp_size; + return ptr; + } + + template + void* create_far_jump(const T dest) + { + static std::unordered_map allocated_jumps; + if (const auto iter = allocated_jumps.find(reinterpret_cast(dest)); iter != allocated_jumps.end()) + { + return iter->second; + } + + const auto pos = allocate_far_jump(); + jump(pos, dest, true); + allocated_jumps.insert(std::make_pair(dest, pos)); + return pos; + } + + template + void far_jump(const size_t address, const T dest) + { + const auto pos = create_far_jump(dest); + jump(address, pos, false); + } + + template + void far_call(const size_t address, const T dest) + { + const auto pos = create_far_jump(dest); + call(address, pos); + } } diff --git a/src/common/utils/http.cpp b/src/common/utils/http.cpp index d7afc2d3..8c0753f4 100644 --- a/src/common/utils/http.cpp +++ b/src/common/utils/http.cpp @@ -43,7 +43,7 @@ namespace utils::http } std::optional get_data(const std::string& url, const std::string& fields, - const headers& headers, const std::function& callback) + const headers& headers, const std::function& callback, int timeout) { curl_slist* header_list = nullptr; auto* curl = curl_easy_init(); @@ -77,6 +77,8 @@ namespace utils::http curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1); curl_easy_setopt(curl, CURLOPT_NOPROGRESS, 0); + curl_easy_setopt(curl, CURLOPT_TIMEOUT, timeout); + if (!fields.empty()) { curl_easy_setopt(curl, CURLOPT_POSTFIELDS, fields.data()); diff --git a/src/common/utils/http.hpp b/src/common/utils/http.hpp index d0fdbc2f..0207ff22 100644 --- a/src/common/utils/http.hpp +++ b/src/common/utils/http.hpp @@ -19,7 +19,7 @@ namespace utils::http using headers = std::unordered_map; std::optional get_data(const std::string& url, const std::string& fields = {}, - const headers& headers = {}, const std::function& callback = {}); + const headers& headers = {}, const std::function& callback = {}, int timeout = 0); std::future> get_data_async(const std::string& url, const std::string& fields = {}, const headers& headers = {}, const std::function& callback = {}); } diff --git a/src/common/utils/info_string.cpp b/src/common/utils/info_string.cpp index 56ed56ab..229d0ef8 100644 --- a/src/common/utils/info_string.cpp +++ b/src/common/utils/info_string.cpp @@ -36,25 +36,25 @@ namespace utils buffer = buffer.substr(1); } - auto key_values = string::split(buffer, '\\'); + const auto key_values = string::split(buffer, '\\'); for (size_t i = 0; !key_values.empty() && i < (key_values.size() - 1); i += 2) { const auto& key = key_values[i]; const auto& value = key_values[i + 1]; - this->key_value_pairs_[key] = value; + + if (!this->key_value_pairs_.contains(key)) + { + this->key_value_pairs_[key] = value; + } } } std::string info_string::build() const { - //auto first = true; std::string info_string; for (const auto& [key, val] : this->key_value_pairs_) { - //if (first) first = false; - /*else*/ info_string.append("\\"); - info_string.append(key); info_string.append("\\"); info_string.append(val); diff --git a/src/common/utils/memory.cpp b/src/common/utils/memory.cpp index 12b36e70..9f079814 100644 --- a/src/common/utils/memory.cpp +++ b/src/common/utils/memory.cpp @@ -43,7 +43,7 @@ namespace utils { std::lock_guard _(this->mutex_); - const auto data = memory::allocate(length); + auto* data = memory::allocate(length); this->pool_.push_back(data); return data; } @@ -57,7 +57,7 @@ namespace utils { std::lock_guard _(this->mutex_); - const auto data = memory::duplicate_string(string); + auto* data = memory::duplicate_string(string); this->pool_.push_back(data); return data; } @@ -166,6 +166,33 @@ namespace utils return false; } + void* memory::allocate_near(const size_t address, const size_t size, const std::uint32_t protect) + { + SYSTEM_INFO system_info{}; + GetSystemInfo(&system_info); + + const auto page_size = system_info.dwPageSize; + const auto aligned_size = size + (~size & (page_size - 1)); + auto current_address = address; + + while (true) + { + current_address -= page_size; + + if (current_address <= reinterpret_cast(system_info.lpMinimumApplicationAddress)) + { + return nullptr; + } + + const auto result = VirtualAlloc(reinterpret_cast(current_address), aligned_size, MEM_RESERVE | MEM_COMMIT, protect); + if (result != nullptr) + { + std::memset(result, 0, aligned_size); + return result; + } + } + } + memory::allocator* memory::get_allocator() { return &memory::mem_allocator_; diff --git a/src/common/utils/memory.hpp b/src/common/utils/memory.hpp index 01f9554f..9887e308 100644 --- a/src/common/utils/memory.hpp +++ b/src/common/utils/memory.hpp @@ -69,6 +69,8 @@ namespace utils static bool is_bad_code_ptr(const void* ptr); static bool is_rdata_ptr(void* ptr); + static void* allocate_near(const size_t address, const size_t size, const std::uint32_t protect); + static allocator* get_allocator(); private: diff --git a/src/common/utils/nt.cpp b/src/common/utils/nt.cpp index 4cead0fa..6b7e4f11 100644 --- a/src/common/utils/nt.cpp +++ b/src/common/utils/nt.cpp @@ -15,7 +15,8 @@ namespace utils::nt library library::get_by_address(void* address) { HMODULE handle = nullptr; - GetModuleHandleExA(GET_MODULE_HANDLE_EX_FLAG_FROM_ADDRESS | GET_MODULE_HANDLE_EX_FLAG_UNCHANGED_REFCOUNT, static_cast(address), &handle); + GetModuleHandleExA(GET_MODULE_HANDLE_EX_FLAG_FROM_ADDRESS | GET_MODULE_HANDLE_EX_FLAG_UNCHANGED_REFCOUNT, + static_cast(address), &handle); return library(handle); } @@ -117,29 +118,29 @@ namespace utils::nt { if (!this->is_valid()) return ""; - auto path = this->get_path(); - const auto pos = path.find_last_of("/\\"); - if (pos == std::string::npos) return path; + const auto path = this->get_path(); + const auto pos = path.generic_string().find_last_of("/\\"); + if (pos == std::string::npos) return path.generic_string(); - return path.substr(pos + 1); + return path.generic_string().substr(pos + 1); } - std::string library::get_path() const + std::filesystem::path library::get_path() const { - if (!this->is_valid()) return ""; + if (!this->is_valid()) return {}; - char name[MAX_PATH] = {0}; - GetModuleFileNameA(this->module_, name, sizeof name); + wchar_t name[MAX_PATH] = { 0 }; + GetModuleFileNameW(this->module_, name, MAX_PATH); - return name; + return { name }; } - std::string library::get_folder() const - { - if (!this->is_valid()) return ""; - const auto path = std::filesystem::path(this->get_path()); - return path.parent_path().generic_string(); + std::filesystem::path library::get_folder() const + { + if (!this->is_valid()) return {}; + + return this->get_path().parent_path().generic_string(); } void library::free() @@ -156,7 +157,12 @@ namespace utils::nt return this->module_; } - void** library::get_iat_entry(const std::string& module_name, const std::string& proc_name) const + void** library::get_iat_entry(const std::string& module_name, std::string proc_name) const + { + return this->get_iat_entry(module_name, proc_name.data()); + } + + void** library::get_iat_entry(const std::string& module_name, const char* proc_name) const { if (!this->is_valid()) return nullptr; @@ -166,7 +172,7 @@ namespace utils::nt auto* const target_function = other_module.get_proc(proc_name); if (!target_function) return nullptr; - auto* header = this->get_optional_header(); + const auto* header = this->get_optional_header(); if (!header) return nullptr; auto* import_descriptor = reinterpret_cast(this->get_ptr() + header->DataDirectory @@ -183,16 +189,22 @@ namespace utils::nt while (original_thunk_data->u1.AddressOfData) { - const size_t ordinal_number = original_thunk_data->u1.AddressOfData & 0xFFFFFFF; - - if (ordinal_number > 0xFFFF) continue; - - if (GetProcAddress(other_module.module_, reinterpret_cast(ordinal_number)) == - target_function) + if (thunk_data->u1.Function == reinterpret_cast(target_function)) { return reinterpret_cast(&thunk_data->u1.Function); } + const size_t ordinal_number = original_thunk_data->u1.AddressOfData & 0xFFFFFFF; + + if (ordinal_number <= 0xFFFF) + { + auto* proc = GetProcAddress(other_module.module_, reinterpret_cast(ordinal_number)); + if (reinterpret_cast(proc) == target_function) + { + return reinterpret_cast(&thunk_data->u1.Function); + } + } + ++original_thunk_data; ++thunk_data; } @@ -208,15 +220,13 @@ namespace utils::nt bool is_wine() { - static std::optional is_wine = {}; - - if (!is_wine.has_value()) + static const auto has_wine_export = []() -> bool { - const utils::nt::library ntdll("ntdll.dll"); - is_wine = ntdll.get_proc("wine_get_version") != nullptr; - } + const library ntdll("ntdll.dll"); + return ntdll.get_proc("wine_get_version"); + }(); - return is_wine.value(); + return has_wine_export; } void raise_hard_exception() @@ -265,8 +275,8 @@ namespace utils::nt } } - CreateProcessA(self.get_path().data(), command_line.data(), nullptr, nullptr, false, NULL, nullptr, current_dir, - &startup_info, &process_info); + CreateProcessA(self.get_path().generic_string().data(), command_line.data(), nullptr, nullptr, false, + CREATE_NEW_CONSOLE, nullptr, current_dir, &startup_info, &process_info); if (process_info.hThread && process_info.hThread != INVALID_HANDLE_VALUE) CloseHandle(process_info.hThread); if (process_info.hProcess && process_info.hProcess != INVALID_HANDLE_VALUE) CloseHandle(process_info.hProcess); @@ -275,5 +285,6 @@ namespace utils::nt void terminate(const uint32_t code) { TerminateProcess(GetCurrentProcess(), code); + _Exit(code); } } diff --git a/src/common/utils/nt.hpp b/src/common/utils/nt.hpp index c4f58afe..58dd6c73 100644 --- a/src/common/utils/nt.hpp +++ b/src/common/utils/nt.hpp @@ -40,23 +40,29 @@ namespace utils::nt operator HMODULE() const; void unprotect() const; - void* get_entry_point() const; - size_t get_relative_entry_point() const; + [[nodiscard]] void* get_entry_point() const; + [[nodiscard]] size_t get_relative_entry_point() const; - bool is_valid() const; - std::string get_name() const; - std::string get_path() const; - std::string get_folder() const; - std::uint8_t* get_ptr() const; + [[nodiscard]] bool is_valid() const; + [[nodiscard]] std::string get_name() const; + [[nodiscard]] std::filesystem::path get_path() const; + [[nodiscard]] std::filesystem::path get_folder() const; + [[nodiscard]] std::uint8_t* get_ptr() const; void free(); - HMODULE get_handle() const; + [[nodiscard]] HMODULE get_handle() const; template - T get_proc(const std::string& process) const + [[nodiscard]] T get_proc(const char* process) const { if (!this->is_valid()) T{}; - return reinterpret_cast(GetProcAddress(this->module_, process.data())); + return reinterpret_cast(GetProcAddress(this->module_, process)); + } + + template + [[nodiscard]] T get_proc(const std::string& process) const + { + return get_proc(process.data()); } template @@ -90,13 +96,14 @@ namespace utils::nt return T(); } - std::vector get_section_headers() const; + [[nodiscard]] std::vector get_section_headers() const; - PIMAGE_NT_HEADERS get_nt_headers() const; - PIMAGE_DOS_HEADER get_dos_header() const; - PIMAGE_OPTIONAL_HEADER get_optional_header() const; + [[nodiscard]] PIMAGE_NT_HEADERS get_nt_headers() const; + [[nodiscard]] PIMAGE_DOS_HEADER get_dos_header() const; + [[nodiscard]] PIMAGE_OPTIONAL_HEADER get_optional_header() const; - void** get_iat_entry(const std::string& module_name, const std::string& proc_name) const; + [[nodiscard]] void** get_iat_entry(const std::string& module_name, std::string proc_name) const; + [[nodiscard]] void** get_iat_entry(const std::string& module_name, const char* proc_name) const; private: HMODULE module_; diff --git a/src/common/utils/string.cpp b/src/common/utils/string.cpp index 30e35e9d..7da02312 100644 --- a/src/common/utils/string.cpp +++ b/src/common/utils/string.cpp @@ -131,6 +131,14 @@ namespace utils::string *out = '\0'; } + std::string strip(const std::string& string) + { + std::string new_string; + new_string.resize(string.size() + 1, 0); + strip(string.data(), new_string.data(), static_cast(new_string.size())); + return new_string.data(); + } + std::string convert(const std::wstring& wstr) { std::string result; diff --git a/src/common/utils/string.hpp b/src/common/utils/string.hpp index 13bcbbf8..fa1c696f 100644 --- a/src/common/utils/string.hpp +++ b/src/common/utils/string.hpp @@ -92,6 +92,7 @@ namespace utils::string std::string get_clipboard_data(); void strip(const char* in, char* out, int max); + std::string strip(const std::string& string); std::string convert(const std::wstring& wstr); std::wstring convert(const std::string& str);