Team 5 shadowdash demo

.circleci/config.yml

@@ -0,0 +1,47 @@
+version: 2.1
+
+executors:
+  docker-executor:
+    docker:
+      - image: cimg/base:stable
+
+jobs:
+  build:
+    executor: docker-executor
+    steps:
+      - checkout
+      - run:
+          name: Install Dependencies
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y clang-tidy
+      - run:
+          name: Build Project
+          command: |
+            cmake -Bbuild-cmake
+            cmake --build build-cmake
+            cp -r ./misc ./build-cmake/
+      - persist_to_workspace:
+          root: .
+          paths:
+            - build-cmake
+
+  test:
+    executor: docker-executor
+    steps:
+      - checkout
+      - attach_workspace:
+          at: .
+      - run:
+          name: Run Tests
+          command: |
+            ./build-cmake/ninja_test
+
+workflows:
+  version: 2
+  build_and_test:
+    jobs:
+      - build
+      - test:
+          requires:
+            - build

CMakeLists.txt

@@ -3,6 +3,14 @@ cmake_minimum_required(VERSION 3.15)
 include(CheckSymbolExists)
 include(CheckIPOSupported)
 
+# Config clang-tidy
+# find_program(CLANG_TIDY_EXE NAMES clang-tidy)
+# if(CLANG_TIDY_EXE)
+#   set(CMAKE_CXX_CLANG_TIDY "${CLANG_TIDY_EXE}")
+# else()
+#   message(WARNING "clang-tidy not found!")
+# endif()
+
 option(NINJA_BUILD_BINARY "Build ninja binary" ON)
 option(NINJA_FORCE_PSELECT "Use pselect() even on platforms that provide ppoll()" OFF)
 
@@ -198,10 +206,18 @@ if(CMAKE_SYSTEM_NAME STREQUAL "OS400" OR CMAKE_SYSTEM_NAME STREQUAL "AIX")
 	add_compile_definitions(__STDC_FORMAT_MACROS)
 endif()
 
+set(SHADOWDASH_SPECIFIC_COMPILE_OPTIONS "-fPIC")
+
 # Main executable is library plus main() function.
 if(NINJA_BUILD_BINARY)
 	add_executable(ninja src/ninja.cc)
 	target_link_libraries(ninja PRIVATE libninja libninja-re2c)
+	add_executable(ninja_hello src/ninja_hello.cc)
+	target_link_libraries(ninja_hello PRIVATE libninja libninja-re2c)
+	add_executable(shadowdash src/shadowdash_build.cc)
+	target_link_libraries(shadowdash PRIVATE libninja libninja-re2c)
+	target_compile_options(shadowdash PRIVATE ${SHADOWDASH_SPECIFIC_COMPILE_OPTIONS})
+	target_link_libraries(shadowdash PRIVATE "/home/ShadowDash/convertor/output/libmanifest.so")
 
 	if(WIN32)
 		target_sources(ninja PRIVATE windows/ninja.manifest)

convertor/bench.py

@@ -0,0 +1,43 @@
+import os
+import subprocess
+import re
+
+# folder = "/home/opensource/llvm-project/build"
+folder = "/home/opensource/zlib"
+
+envs = {"LD_LIBRARY_PATH": "/home/ShadowDash/convertor/output"}
+shadowdash_cmd = """./shadowdash all -d stats -n""".split(" ")
+ninja_cmd = """./ninja -d stats -n""".split(" ")
+
+loop_count = 100
+
+shadowdash_timer = 0
+ninja_timer = 0
+
+os.chdir(folder)
+
+for i in range(loop_count):
+    result = subprocess.run(shadowdash_cmd, env=envs, capture_output=True, text=True, check=True)
+    output:str = result.stdout
+    for line in output.split("\n"):
+        if line.startswith(".shadowdash parse"):
+            res = re.split(r"\s+", line)[3]
+            try:
+                shadowdash_timer += float(res)
+            except:
+                print(line)
+                exit(1)
+            break
+shadowdash_timer /= loop_count
+
+for i in range(loop_count):
+    result = subprocess.run(ninja_cmd, capture_output=True, text=True, check=True)
+    output:str = result.stdout
+    for line in output.split("\n"):
+        if line.startswith(".ninja parse"):
+            res = re.split(r"\s+", line)[3]
+            ninja_timer += float(res)
+            break
+ninja_timer /= loop_count
+
+print(f"shadowdash: {shadowdash_timer}, ninja: {ninja_timer}")

convertor/convertor.py

@@ -0,0 +1 @@
+./convertors/convertor_split_func_new.py