python: Removed double \ from regex literal strings.

python/inet/common/compile.py

@@ -68,8 +68,8 @@ def get_parameters_string(self, **kwargs):
 
     def get_input_files(self):
         output_folder = f"out/clang-{self.mode}"
-        object_path = re.sub(r"\\.msg", "_m.cc", self.file_path)
-        dependency_file_path = re.sub(r"\\.msg", "_m.h.d", self.file_path)
+        object_path = re.sub(r"\.msg", "_m.cc", self.file_path)
+        dependency_file_path = re.sub(r"\.msg", "_m.h.d", self.file_path)
         full_file_path = self.simulation_project.get_full_path(os.path.join(output_folder, dependency_file_path))
         if os.path.exists(full_file_path):
             dependency = read_dependency_file(full_file_path)
@@ -80,14 +80,14 @@ def get_input_files(self):
             return [self.file_path]
 
     def get_output_files(self):
-        cpp_file_path = re.sub(r"\\.msg", "_m.cc", self.file_path)
-        header_file_path = re.sub(r"\\.msg", "_m.h", self.file_path)
+        cpp_file_path = re.sub(r"\.msg", "_m.cc", self.file_path)
+        header_file_path = re.sub(r"\.msg", "_m.h", self.file_path)
         return [f"{cpp_file_path}", f"{header_file_path}"]
 
     def get_arguments(self):
         executable = "opp_msgc"
         output_folder = f"out/clang-{self.mode}"
-        header_file_path = re.sub(r"\\.msg", "_m.h", self.file_path)
+        header_file_path = re.sub(r"\.msg", "_m.h", self.file_path)
         import_paths = list(map(lambda msg_folder: self.simulation_project.get_full_path(msg_folder), self.simulation_project.msg_folders))
         return [executable,
                 "--msg6",
@@ -118,8 +118,8 @@ def get_parameters_string(self, **kwargs):
 
     def get_input_files(self):
         output_folder = f"out/clang-{self.mode}"
-        object_path = re.sub(r"\\.cc", ".o", self.file_path)
-        dependency_file_path = re.sub(r"\\.cc", ".o.d", self.file_path)
+        object_path = re.sub(r"\.cc", ".o", self.file_path)
+        dependency_file_path = re.sub(r"\.cc", ".o.d", self.file_path)
         full_file_path = self.simulation_project.get_full_path(os.path.join(output_folder, dependency_file_path))
         if os.path.exists(full_file_path):
             dependency = read_dependency_file(full_file_path)
@@ -130,7 +130,7 @@ def get_input_files(self):
 
     def get_output_files(self):
         output_folder = f"out/clang-{self.mode}"
-        object_path = re.sub(r"\\.cc", ".o", self.file_path)
+        object_path = re.sub(r"\.cc", ".o", self.file_path)
         return [f"{output_folder}/{object_path}"]
 
     def get_arguments(self):

python/inet/simulation/build.py

@@ -117,8 +117,8 @@ def __init__(self, simulation_project=None, name="MSG compile task", mode="relea
         self.simulation_project = simulation_project
         self.mode = mode
         self.input_files = list(map(lambda input_file: self.simulation_project.get_full_path(input_file), self.simulation_project.get_msg_files()))
-        self.output_files = list(map(lambda output_file: re.sub(r"\\.msg", "_m.cc", output_file), self.input_files)) + \
-                            list(map(lambda output_file: re.sub(r"\\.msg", "_m.h", output_file), self.input_files))
+        self.output_files = list(map(lambda output_file: re.sub(r"\.msg", "_m.cc", output_file), self.input_files)) + \
+                            list(map(lambda output_file: re.sub(r"\.msg", "_m.h", output_file), self.input_files))
 
     def get_description(self):
         return self.simulation_project.get_name() + " " + super().get_description()
@@ -165,7 +165,7 @@ def get_object_files(self):
         object_files = []
         for cpp_folder in self.simulation_project.cpp_folders:
             file_paths = glob.glob(self.simulation_project.get_full_path(os.path.join(cpp_folder, "**/*.cc")), recursive=True)
-            object_files = object_files + list(map(lambda file_path: os.path.join(output_folder, self.simulation_project.get_relative_path(re.sub(r"\\.cc", ".o", file_path))), file_paths))
+            object_files = object_files + list(map(lambda file_path: os.path.join(output_folder, self.simulation_project.get_relative_path(re.sub(r"\.cc", ".o", file_path))), file_paths))
         return object_files
 
     def is_up_to_date(self):
@@ -280,7 +280,7 @@ def get_build_tasks(self, **kwargs):
             os.makedirs(output_folder)
         msg_compile_tasks = list(map(lambda msg_file: MsgCompileTask(simulation_project=self.simulation_project, file_path=msg_file, mode=self.mode), self.simulation_project.get_msg_files()))
         multiple_msg_compile_tasks = MultipleMsgCompileTasks(simulation_project=self.simulation_project, mode=self.mode, tasks=msg_compile_tasks, concurrent=self.concurrent_child_tasks)
-        msg_cpp_compile_tasks = list(map(lambda msg_file: CppCompileTask(simulation_project=self.simulation_project, file_path=re.sub(r"\\.msg", "_m.cc", msg_file), mode=self.mode), self.simulation_project.get_msg_files()))
+        msg_cpp_compile_tasks = list(map(lambda msg_file: CppCompileTask(simulation_project=self.simulation_project, file_path=re.sub(r"\.msg", "_m.cc", msg_file), mode=self.mode), self.simulation_project.get_msg_files()))
         cpp_compile_tasks = list(map(lambda cpp_file: CppCompileTask(simulation_project=self.simulation_project, file_path=cpp_file, mode=self.mode), self.simulation_project.get_cpp_files()))
         all_cpp_compile_tasks = msg_cpp_compile_tasks + cpp_compile_tasks
         multiple_cpp_compile_tasks = MultipleCppCompileTasks(simulation_project=self.simulation_project, mode=self.mode, tasks=all_cpp_compile_tasks, concurrent=self.concurrent_child_tasks)

python/inet/simulation/project.py

@@ -271,14 +271,14 @@ def get_effective_include_folders(self):
     def get_cpp_files(self):
         cpp_files = []
         for cpp_folder in self.cpp_folders:
-            file_paths = list(filter(lambda file_path: not re.search(r"_m\\.cc", file_path), glob.glob(self.get_full_path(os.path.join(cpp_folder, "**/*.cc")), recursive=True)))
+            file_paths = list(filter(lambda file_path: not re.search(r"_m\.cc", file_path), glob.glob(self.get_full_path(os.path.join(cpp_folder, "**/*.cc")), recursive=True)))
             cpp_files = cpp_files + list(map(lambda file_path: self.get_relative_path(file_path), file_paths))
         return cpp_files
 
     def get_header_files(self):
         header_files = []
         for cpp_folder in self.cpp_folders:
-            file_paths = list(filter(lambda file_path: not re.search(r"_m\\.h", file_path), glob.glob(self.get_full_path(os.path.join(cpp_folder, "**/*.h")), recursive=True)))
+            file_paths = list(filter(lambda file_path: not re.search(r"_m\.h", file_path), glob.glob(self.get_full_path(os.path.join(cpp_folder, "**/*.h")), recursive=True)))
             header_files = header_files + list(map(lambda file_path: self.get_relative_path(file_path), file_paths))
         return header_files
 
@@ -313,7 +313,7 @@ def create_config_dict(config):
         config_dicts = {"General": create_config_dict("General")}
         config_dict = {}
         for line in file:
-            match = re.match(r"\\[(Config +)?(.*?)\\]", line)
+            match = re.match(r"\[(Config +)?(.*?)\]", line)
             if match:
                 config = match.group(2) or match.group(3)
                 config_dict = create_config_dict(config)

python/inet/test/feature.py

@@ -109,17 +109,17 @@ def read_xml_file(filename, repair_hint=None):
 
 def get_package_folder(package):
     if re.search(r"inet.examples", package):
-        return re.sub(r"inet/", "", re.sub(r"\\.", "/", package))
+        return re.sub(r"inet/", "", re.sub(r"\.", "/", package))
     elif re.search(r"inet.showcases", package):
-        return re.sub(r"inet/", "", re.sub(r"\\.", "/", package))
+        return re.sub(r"inet/", "", re.sub(r"\.", "/", package))
     elif re.search(r"inet.tutorials", package):
-        return re.sub(r"inet/", "", re.sub(r"\\.", "/", package))
+        return re.sub(r"inet/", "", re.sub(r"\.", "/", package))
     elif re.search(r"inet.tests", package):
-        return re.sub(r"inet/", "", re.sub(r"\\.", "/", package))
+        return re.sub(r"inet/", "", re.sub(r"\.", "/", package))
     elif re.search(r"inet.validation", package):
-        return re.sub(r"inet/", "tests/", re.sub(r"\\.", "/", package))
+        return re.sub(r"inet/", "tests/", re.sub(r"\.", "/", package))
     else:
-        return "src/" + re.sub(r"\\.", "/", package)
+        return "src/" + re.sub(r"\.", "/", package)
 
 def get_features(oppfeatures):
     result = []

python/inet/test/statistical.py

@@ -84,7 +84,7 @@ def check_simulation_task_result(self, simulation_task_result, result_name_filte
                         id = next(iter(df.index), None)
                     reason = df.loc[id].to_string()
                     reason = re.sub(r" +", " = ", reason)
-                    reason = re.sub(r"\\n", ", ", reason)
+                    reason = re.sub(r"\n", ", ", reason)
                     return self.task_result_class(task=self, simulation_task_result=simulation_task_result, result="FAIL", reason=reason)
             else:
                 return self.task_result_class(task=self, simulation_task_result=simulation_task_result, result="PASS")

python/inet/test/validation.py

@@ -109,15 +109,15 @@ def compute_asynchronousshaper_icct_endtoend_delay_from_simulation_results(**kwa
     filter_expression = """type =~ scalar AND name =~ meanBitLifeTimePerPacket:histogram:max"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/asynchronousshaper/icct/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max)", "\\1", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\\[[0-4]\\].*", "Flow 4, Class A", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\\[[5-9]\\].*", "Flow 5, Class B", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[[0-9]\\].*", "Flow 1, CDT", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[1[0-9]\\].*", "Flow 2, Class A", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[2[0-9]\\].*", "Flow 3, Class B", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[3[0-4]\\].*", "Flow 6, Class A", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[3[5-9]\\].*", "Flow 7, Class B", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\\[40\\].*", "Flow 8, Best Effort", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max)", "\1", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\[[0-4]\].*", "Flow 4, Class A", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\[[5-9]\].*", "Flow 5, Class B", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[[0-9]\].*", "Flow 1, CDT", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[1[0-9]\].*", "Flow 2, Class A", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[2[0-9]\].*", "Flow 3, Class B", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[3[0-4]\].*", "Flow 6, Class A", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[3[5-9]\].*", "Flow 7, Class B", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[40\].*", "Flow 8, Best Effort", name))
     df = pd.pivot_table(df, index="module", columns="name", values="value", aggfunc="max")
     return df * 1000000
 
@@ -155,11 +155,11 @@ def compute_asynchronousshaper_core4inet_endtoend_delay_from_simulation_results(
     filter_expression = """type =~ scalar AND (name =~ meanBitLifeTimePerPacket:histogram:min OR name =~ meanBitLifeTimePerPacket:histogram:max OR name =~ meanBitLifeTimePerPacket:histogram:mean OR name =~ meanBitLifeTimePerPacket:histogram:stddev)"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/asynchronousshaper/core4inet/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\\1", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[0\\].*", "Best effort", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[1\\].*", "Medium", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[2\\].*", "High", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[3\\].*", "Critical", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\1", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[0\].*", "Best effort", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[1\].*", "Medium", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[2\].*", "High", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[3\].*", "Critical", name))
     df = df.loc[df["module"]!="Best effort"]
     df = pd.pivot_table(df, index="module", columns="name", values="value")
     return df * 1000000
@@ -222,11 +222,11 @@ def compute_creditbasedshaper_endtoend_delay_from_simulation_results(**kwargs):
     filter_expression = """type =~ scalar AND (name =~ meanBitLifeTimePerPacket:histogram:min OR name =~ meanBitLifeTimePerPacket:histogram:max OR name =~ meanBitLifeTimePerPacket:histogram:mean OR name =~ meanBitLifeTimePerPacket:histogram:stddev)"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/creditbasedshaper/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\\1", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[0\\].*", "Best effort", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[1\\].*", "Medium", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[2\\].*", "High", name))
-    df["module"] = df["module"].map(lambda name: re.sub(r".*app\\[3\\].*", "Critical", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\1", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[0\].*", "Best effort", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[1\].*", "Medium", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[2\].*", "High", name))
+    df["module"] = df["module"].map(lambda name: re.sub(r".*app\[3\].*", "Critical", name))
     df = df.loc[df["module"]!="Best effort"]
     df = pd.pivot_table(df, index="module", columns="name", values="value")
     return df * 1000000