def _remove_comments_and_commands_to_delete(content, parameters):
  content = [_remove_comments_inline(line) for line in content]
  content = _remove_environment(''.join(content), 'comment')
  content = _remove_iffalse_block(content)
  for environment in parameters.get('environments_to_delete', []):
    content = _remove_environment(content, environment)
  for command in parameters.get('commands_only_to_delete', []):
    content = _remove_command(content, command, True)
  for command in parameters['commands_to_delete']:
    content = _remove_command(content, command, False)
  return content
_remove_comments_and_commands_to_delete(content=['\\begin{document}\n', 'Text\n', '% Whole line comment\n', '\n', 'Text% Inline comment\n', '\\begin{comment}\n', 'This is an environment comment.\n', '\\end{comment}\n', '\n', 'This is a percent \\%.\n', '% Whole line comment without newline\n', '\\includegraphics{images/im1_included.png}\n', '%\\includegraphics{images/im_not_included}\n', '\\includegraphics{images/im3_included.png}\n', '\\includegraphics{%\n', '  images/im4_included.png%\n', '  }\n', '\\includegraphics[width=.5\\linewidth]{%\n', '  images/im5_included.jpg}\n', '%\\includegraphics{%\n', '%  images/im4_not_included.png\n', '%  }\n', '%\\includegraphics[width=.5\\linewidth]{%\n', '%  images/im5_not_included.jpg}\n', '\n', '% test whatever the path satrting with dot works when include graphics\n', '\\includegraphics{./images/im3_included.png}\n', '\n', 'This line should\\mytodo{Do this later} not be separated\n', '\\mytodo{This is a todo command with a nested \\textit{command}.\n', 'Please remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\n', 'from this one.\n', '\n', '\\begin{mynote}\n', '  This is a custom environment that could be excluded.\n', '\\end{mynote}\n', '\n', '\\newif\\ifvar\n', '\n', '\\ifvar\n', '\\if    false\n', '\\if false\n', '\\if 0\n', '\\iffalse\n', '\\ifvar\n', 'Text\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\n', '\\newcommand{\\red}[1]{{\\color{red}

['\\begin{document}\n', 'Text\n', '% Whole line comment\n', '\n', 'Text% Inline comment\n', '\\begin{comment}\n', 'This is an environment comment.\n', '\\end{comment}\n', '\n', 'This is a percent \\%.\n', '% Whole line comment without newline\n', '\\includegraphics{images/im1_included.png}\n', '%\\includegraphics{images/im_not_included}\n', '\\includegraphics{images/im3_included.png}\n', '\\includegraphics{%\n', '  images/im4_included.png%\n', '  }\n', '\\includegraphics[width=.5\\linewidth]{%\n', '  images/im5_included.jpg}\n', '%\\includegraphics{%\n', '%  images/im4_not_included.png\n', '%  }\n', '%\\includegraphics[width=.5\\linewidth]{%\n', '%  images/im5_not_included.jpg}\n', '\n', '% test whatever the path satrting with dot works when include graphics\n', '\\includegraphics{./images/im3_included.png}\n', '\n', 'This line should\\mytodo{Do this later} not be separated\n', '\\mytodo{This is a todo command with a nested \\textit{command}.\n', 'Please remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\n', 'from this one.\n', '\n', '\\begin{mynote}\n', '  This is a custom environment that could be excluded.\n', '\\end{mynote}\n', '\n', '\\newif\\ifvar\n', '\n', '\\ifvar\n', '\\if    false\n', '\\if false\n', '\\if 0\n', '\\iffalse\n', '\\ifvar\n', 'Text\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\n', '\\newcommand{\\red}[1]{{\\color{red} #1}}\n', 'hello test \\red{hello\n', 'test \\red{hello}}\n', 'test\n', '\n', '% content after this line should not be cleaned if \\end{document} is in a comment\n', '\n', '\\input{figures/figure_included.tex}\n', '% \\input{figures/figure_not_included.tex}\n', '\n', '% Test for tikzpicture feature\n', '% should be replaced\n', '\\tikzsetnextfilename{test1}\n', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test1};\n', '\\end{tikzpicture}\n', '\n', '% should be replaced in included file\n', '\\input{figures/figure_included.tikz}\n', '\n', '% should not be be replaced - no preceding tikzsetnextfilename command\n', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test3};\n', '\\end{tikzpicture}\n', '\n', '\\tikzsetnextfilename{test_no_match}\n', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test4};\n', '\\end{tikzpicture}\n', '\n', '\\end{document}\n']

['\\begin{document}\n', 'Text\n', '', '\n', 'Text%\n', '\\begin{comment}\n', 'This is an environment comment.\n', '\\end{comment}\n', '\n', 'This is a percent \\%.\n', '', '\\includegraphics{images/im1_included.png}\n', '', '\\includegraphics{images/im3_included.png}\n', '\\includegraphics{%\n', '  images/im4_included.png%\n', '  }\n', '\\includegraphics[width=.5\\linewidth]{%\n', '  images/im5_included.jpg}\n', '', '', '', '', '', '\n', '', '\\includegraphics{./images/im3_included.png}\n', '\n', 'This line should\\mytodo{Do this later} not be separated\n', '\\mytodo{This is a todo command with a nested \\textit{command}.\n', 'Please remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\n', 'from this one.\n', '\n', '\\begin{mynote}\n', '  This is a custom environment that could be excluded.\n', '\\end{mynote}\n', '\n', '\\newif\\ifvar\n', '\n', '\\ifvar\n', '\\if    false\n', '\\if false\n', '\\if 0\n', '\\iffalse\n', '\\ifvar\n', 'Text\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\\fi\n', '\n', '\\newcommand{\\red}[1]{{\\color{red} #1}}\n', 'hello test \\red{hello\n', 'test \\red{hello}}\n', 'test\n', '\n', '', '\n', '\\input{figures/figure_included.tex}\n', '', '\n', '', '', '\\tikzsetnextfilename{test1}\n', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test1};\n', '\\end{tikzpicture}\n', '\n', '', '\\input{figures/figure_included.tikz}\n', '\n', '', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test3};\n', '\\end{tikzpicture}\n', '\n', '\\tikzsetnextfilename{test_no_match}\n', '\\begin{tikzpicture}\n', '    \\node (test) at (0,0) {Test4};\n', '\\end{tikzpicture}\n', '\n', '\\end{document}\n']

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should\\mytodo{Do this later} not be separated\n\\mytodo{This is a todo command with a nested \\textit{command}.\nPlease remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\nfrom this one.\n\n\\begin{mynote}\n  This is a custom environment that could be excluded.\n\\end{mynote}\n\n\\newif\\ifvar\n\n\\ifvar\n\\if    false\n\\if false\n\\if 0\n\\iffalse\n\\ifvar\nText\n\\fi\n\\fi\n\\fi\n\\fi\n\\fi\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test \\red{hello\ntest \\red{hello}}\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should\\mytodo{Do this later} not be separated\n\\mytodo{This is a todo command with a nested \\textit{command}.\nPlease remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\nfrom this one.\n\n\\begin{mynote}\n  This is a custom environment that could be excluded.\n\\end{mynote}\n\n\\newif\\ifvar\n\n\\ifvar\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test \\red{hello\ntest \\red{hello}}\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should\\mytodo{Do this later} not be separated\n\\mytodo{This is a todo command with a nested \\textit{command}.\nPlease remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\nfrom this one.\n\n\n\n\\newif\\ifvar\n\n\\ifvar\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test \\red{hello\ntest \\red{hello}}\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should\\mytodo{Do this later} not be separated\n\\mytodo{This is a todo command with a nested \\textit{command}.\nPlease remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\nfrom this one.\n\n\n\n\\newif\\ifvar\n\n\\ifvar\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test hello\ntest hello\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should not be separated\n%\nfrom this one.\n\n\n\n\\newif\\ifvar\n\n\\ifvar\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test hello\ntest hello\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'


content = _remove_environment(''.join(content), 'comment')

{'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\.aux$', '\\.sh$', '\\.blg$', '\\.brf$', '\\.log$', '\\.out$', '\\.ps$', '\\.dvi$', '\\.synctex.gz$', '~$', '\\.backup$', '\\.gitignore$', '\\.DS_Store$', '\\.svg$', '^\\.idea', '\\.dpth$', '\\.md5$', '\\.dep$', '\\.auxlock$', '\\.fls$', '\\.fdb_latexmk$', '\\.bib$'], 'figures_to_copy_if_referenced': ['\\.png$', '\\.jpg$', '\\.jpeg$', '\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'}

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should\\mytodo{Do this later} not be separated\n\\mytodo{This is a todo command with a nested \\textit{command}.\nPlease remember that up to \\texttt{2 levels} of \\textit{nesting} are supported.}\nfrom this one.\n\n\\begin{mynote}\n  This is a custom environment that could be excluded.\n\\end{mynote}\n\n\\newif\\ifvar\n\n\\ifvar\n\\if    false\n\\if false\n\\if 0\n\\iffalse\n\\ifvar\nText\n\\fi\n\\fi\n\\fi\n\\fi\n\\fi\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test \\red{hello\ntest \\red{hello}}\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'


content = _remove_command(content, command, False)

'\\begin{document}\nText\n\nText%\n\n\nThis is a percent \\%.\n\\includegraphics{images/im1_included.png}\n\\includegraphics{images/im3_included.png}\n\\includegraphics{%\n  images/im4_included.png%\n  }\n\\includegraphics[width=.5\\linewidth]{%\n  images/im5_included.jpg}\n\n\\includegraphics{./images/im3_included.png}\n\nThis line should not be separated\n%\nfrom this one.\n\n\n\n\\newif\\ifvar\n\n\\ifvar\n\\fi\n\n\\newcommand{\\red}[1]{{\\color{red} #1}}\nhello test hello\ntest hello\ntest\n\n\n\\input{figures/figure_included.tex}\n\n\\tikzsetnextfilename{test1}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test1};\n\\end{tikzpicture}\n\n\\input{figures/figure_included.tikz}\n\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test3};\n\\end{tikzpicture}\n\n\\tikzsetnextfilename{test_no_match}\n\\begin{tikzpicture}\n    \\node (test) at (0,0) {Test4};\n\\end{tikzpicture}\n\n\\end{document}\n'


def apply_changes(file_path: str, changes: List, confirm: bool = False):
    with open(file_path) as f:
        original_file_lines = f.readlines()
    operation_changes = [change for change in changes if "operation" in change]
    explanations = [
        change["explanation"] for change in changes if "explanation" in change
    ]
    operation_changes.sort(key=lambda x: x["line"], reverse=True)
    file_lines = original_file_lines.copy()
    for change in operation_changes:
        operation = change["operation"]
        line = change["line"]
        content = change["content"]
        if operation == "Replace":
            file_lines[line - 1] = content + "\n"
        elif operation == "Delete":
            del file_lines[line - 1]
        elif operation == "InsertAfter":
            file_lines.insert(line, content + "\n")
    cprint("Explanations:", "blue")
    for explanation in explanations:
        cprint(f"- {explanation}", "blue")
    print("\nChanges to be made:")
    diff = difflib.unified_diff(original_file_lines, file_lines, lineterm="")
    for line in diff:
        if line.startswith("+"):
            cprint(line, "green", end="")
        elif line.startswith("-"):
            cprint(line, "red", end="")
        else:
            print(line, end="")
    if confirm:
        confirmation = input("Do you want to apply these changes? (y/n): ")
        if confirmation.lower() != "y":
            print("Changes not applied")
            sys.exit(0)
    with open(file_path, "w") as f:
        f.writelines(file_lines)
    print("Changes applied.")
apply_changes(file_path='/tmp/tmp6qrrn_j9', changes=[{'operation': 'Replace', 'line': 2, 'content': 'new second line'}], confirm=False)

<_io.TextIOWrapper name='/tmp/tmp6qrrn_j9' mode='r' encoding='UTF-8'>

<_io.TextIOWrapper name='/tmp/tmp6qrrn_j9' mode='w' encoding='UTF-8'>

['first line\n', 'second line\n', 'third line']

['first line\n', 'new second line\n', 'third line']

'new second line'

<generator object unified_diff at 0x7f5b71b2cba0>


operation_changes = [change for change in changes if "operation" in change]

[{'operation': 'Replace', 'line': 2, 'content': 'new second line'}]

'new second line'


def test_json_validated_response(mocker, chat_completion_response, nb_retry, fail):
    with open(chat_completion_response, 'r') as file:
        response = file.read()
    mocker.patch(
        "openai.ChatCompletion.create",
        return_value=mock_open_ai_response_object(mocker=mocker, content=response))
    if fail:
        with pytest.raises(Exception) as err:
            json_response = json_validated_response("gpt-4", [
                    {
                        "role": "user",
                        "content": "prompt"
                    }
                ],
                nb_retry=nb_retry
            )
            assert err.value == "No valid json response found after 3 tries. Exiting."
    else:
        json_response = json_validated_response("gpt-4", [
                {
                    "role": "user",
                    "content": "prompt"
                }
            ],
            nb_retry=nb_retry
        )
        assert json_response
test_json_validated_response(mocker={_patches_and_mocks=[], patch=<pytest_mock.plugin.MockerFixture._Patcher object at 0x7f5b71b3ebb0>, call=call, ANY=<ANY>, DEFAULT=sentinel.DEFAULT, sentinel=<unittest.mock._Sentinel object at 0x7f5b72380a00>}, chat_completion_response='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/biobootloader+wolverine/biobootloader+wolverine/tests/test_files/cc_resp.txt', nb_retry=3, fail=False)

{_patches_and_mocks=[(<unittest.mock._patch object at 0x7f5b71abbee0>, <MagicMock name='create' id='140030725832560'>)], patch=<pytest_mock.plugin.MockerFixture._Patcher object at 0x7f5b71b3ebb0>, call=call, ANY=<ANY>, DEFAULT=sentinel.DEFAULT, sentinel=<unittest.mock._Sentinel object at 0x7f5b72380a00>}

Response: 'Explanation: The function `subtract_numbers` is never defined in the script, causing a `NameError` when it is called in the `calculate` function.\n\n[\n  {"explanation": "The \'subtract_numbers\' function is never defined in the script."},\n  {"operation": "InsertAfter", "line": 12, "content": "\\n# Define subtract_numbers function\\ndef subtract_numbers(a, b):\\n    return a - b\\n"},\n  {"operation": "Replace", "line": 18, "content": "    if operation == \\"add\\":\\n        result = add_numbers(num1, num2)\\n    elif operation == \\"subtract\\":\\n        result = subtract_numbers(num1, num2)\\n    elif operation == \\"multiply\\":\\n        result = multiply_numbers(num1, num2)\\n    elif operation == \\"divide\\":\\n        result = divide_numbers(num1, num2)\\n    else:\\n        print(\\"Invalid operation\\")\\n"},\n  {"operation": "Replace", "line": 30, "content": "    return result\\n"}\n]'

[{'explanation': "The 'subtract_numbers' function is never defined in the script."}, {'operation': 'InsertAfter', 'line': 12, 'content': '\n# Define subtract_numbers function\ndef subtract_numbers(a, b):\n    return a - b\n'}, {'operation': 'Replace', 'line': 18, 'content': '    if operation == "add":\n        result = add_numbers(num1, num2)\n    elif operation == "subtract":\n        result = subtract_numbers(num1, num2)\n    elif operation == "multiply":\n        result = multiply_numbers(num1, num2)\n    elif operation == "divide":\n        result = divide_numbers(num1, num2)\n    else:\n        print("Invalid operation")\n'}, {'operation': 'Replace', 'line': 30, 'content': '    return result\n'}]


'Explanation: The function `subtract_numbers` is never defined in the script, causing a `NameError` when it is called in the `calculate` function.\n\n[\n  {"explanation": "The \'subtract_numbers\' function is never defined in the script."},\n  {"operation": "InsertAfter", "line": 12, "content": "\\n# Define subtract_numbers function\\ndef subtract_numbers(a, b):\\n    return a - b\\n"},\n  {"operation": "Replace", "line": 18, "content": "    if operation == \\"add\\":\\n        result = add_numbers(num1, num2)\\n    elif operation == \\"subtract\\":\\n        result = subtract_numbers(num1, num2)\\n    elif operation == \\"multiply\\":\\n        result = multiply_numbers(num1, num2)\\n    elif operation == \\"divide\\":\\n        result = divide_numbers(num1, num2)\\n    else:\\n        print(\\"Invalid operation\\")\\n"},\n  {"operation": "Replace", "line": 30, "content": "    return result\\n"}\n]'

Response: 'Explanation: The function `subtract_numbers` is never defined in the script, causing a `NameError` when it is called in the `calculate` function.\n\n[\n  {"explanation": "The \'subtract_numbers\' function is never defined in the script."},\n  {"operation": "InsertAfter", "line": 12, "content": "\\n# Define subtract_numbers function\\ndef subtract_numbers(a, b):\\n    return a - b\\n"},\n  {"operation": "Replace", "line": 18, "content": "    if operation == \\"add\\":\\n        result = add_numbers(num1, num2)\\n    elif operation == \\"subtract\\":\\n        result = subtract_numbers(num1, num2)\\n    elif operation == \\"multiply\\":\\n        result = multiply_numbers(num1, num2)\\n    elif operation == \\"divide\\":\\n        result = divide_numbers(num1, num2)\\n    else:\\n        print(\\"Invalid operation\\")\\n"},\n  {"operation": "Replace", "line": 30, "content": "    return result\\n"}\n]'


def return_logger(name: str) -> logging.Logger:
    logger = logging.getLogger(name)
    if not len(logger.handlers):
        log_formatter = logging.Formatter('%(asctime)-s: %(levelname)-s %(message)s')
        logger.setLevel(logging.DEBUG)
        console_handler = logging.StreamHandler()
        console_handler.setFormatter(log_formatter)
        logger.addHandler(console_handler)
    return logger
return_logger(name='imagededup.handlers.metrics.classification')

{_style=<logging.PercentStyle object at 0x7fcf18561f10>, _fmt='%(asctime)-s: %(levelname)-s %(message)s', datefmt=None}


def decorator(callback):
            @wraps(callback)
            def wrapper(*args, **kwargs):
                return built_functions[public_name](*args, **kwargs)
            public_name = name or callback.__name__
            assert public_name not in self._built_functions
            built_functions = self._built_functions
            built_functions[public_name] = callback
            self._cached_base_callbacks[public_name] = callback
            return wrapper
decorator(callback=<function AnonymousParamName.goto at 0x7f58666fe4c0>, name='goto_anonymous_param', self=<jedi.plugins._PluginManager object at 0x7f586687bfa0>, self._built_functions={}, self._cached_base_callbacks={}, self._registered_plugins=[])

{'goto_anonymous_param': <function AnonymousParamName.goto at 0x7f58666fe4c0>}

<function AnonymousParamName.goto at 0x7f58666fe550>


def __call__(self, func):
        self.func = func
        if self.check_name is None:
            self.check_name = func.__name__[2:]
        return self
__call__(self=<jedi.inference.compiled.value.CheckAttribute object at 0x7f58667d5430>, func=<function CompiledValue.py__class__ at 0x7f586661d5e0>, self.check_name=None)


def pytest_generate_tests(metafunc):
    test_files = dict(map(parse_test_files_option,
                          metafunc.config.option.test_files))
    if 'case' in metafunc.fixturenames:
        base_dir = metafunc.config.option.integration_case_dir
        thirdparty = metafunc.config.option.thirdparty
        cases = list(run.collect_dir_tests(base_dir, test_files))
        if thirdparty:
            cases.extend(run.collect_dir_tests(
                os.path.join(base_dir, 'thirdparty'), test_files, True))
        ids = ["%s:%s" % (c.module_name, c.line_nr_test) for c in cases]
        metafunc.parametrize('case', cases, ids=ids)
    if 'refactor_case' in metafunc.fixturenames:
        base_dir = metafunc.config.option.refactor_case_dir
        cases = list(refactor.collect_dir_tests(base_dir, test_files))
        metafunc.parametrize(
            'refactor_case', cases,
            ids=[c.refactor_type + '-' + c.name for c in cases]
        )
    if 'static_analysis_case' in metafunc.fixturenames:
        base_dir = os.path.join(os.path.dirname(__file__), 'static_analysis')
        cases = list(collect_static_analysis_tests(base_dir, test_files))
        metafunc.parametrize(
            'static_analysis_case',
            cases,
            ids=[c.name for c in cases]
        )
pytest_generate_tests(metafunc={definition=<FunctionDefinition test_issue436>, config=<_pytest.config.Config object at 0x7f58673c03a0>, fixturenames=['clean_jedi_cache', 'Script', 'environment', 'request'], cls=None, _arg2fixturedefs={'clean_jedi_cache': (<FixtureDef argname='clean_jedi_cache' scope='session' baseid=''>,), 'Script': (<FixtureDef argname='Script' scope='session' baseid=''>,), 'environment': (<FixtureDef argname='environment' scope='session' baseid=''>,)}, _calls=[]})


def collect_file_tests(path, lines, lines_to_execute):
    def makecase(t):
        return IntegrationTestCase(t, correct, line_nr, column,
                                   start, line, path=path,
                                   skip_version_info=skip_version_info)
    start = None
    correct = None
    test_type = None
    skip_version_info = None
    for line_nr, line in enumerate(lines, 1):
        if correct is not None:
            r = re.match(r'^(\d+)\s*(.*)$', correct)
            if r:
                column = int(r.group(1))
                correct = r.group(2)
                start += r.regs[2][0]
            else:
                column = len(line) - 1
            if test_type == '!':
                yield makecase(TEST_GOTO)
            elif test_type == '<':
                yield makecase(TEST_REFERENCES)
            elif correct.startswith('['):
                yield makecase(TEST_COMPLETIONS)
            else:
                yield makecase(TEST_INFERENCE)
            correct = None
        else:
            skip_version_info = skip_python_version(line) or skip_version_info
            try:
                r = re.search(r'(?:^|(?<=\s))
                test_type = r.group(1)
                correct = r.group(2)
                if correct == '':
                    correct = ' '
                start = r.start()
            except AttributeError:
                correct = None
            else:
                for l in lines_to_execute:
                    if isinstance(l, tuple) and l[0] <= line_nr <= l[1] \
                            or line_nr == l:
                        break
                else:
                    if lines_to_execute:
                        correct = None
collect_file_tests(path='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/test/completion/fixture_module.py', lines={}, lines_to_execute=[])

<function collect_file_tests.<locals>.makecase at 0x7f586017dee0>

'# Exists only for completion/pytest.py\n'


def _get_subprocess(self):
        if self._subprocess is not None and not self._subprocess.is_crashed:
            return self._subprocess
        try:
            self._subprocess = CompiledSubprocess(self._start_executable,
                                                  env_vars=self._env_vars)
            info = self._subprocess._send(None, _get_info)
        except Exception as exc:
            raise InvalidPythonEnvironment(
                "Could not get version information for %r: %r" % (
                    self._start_executable,
                    exc))
        self.executable = info[0]
        self.path = info[1]
        self.version_info = _VersionInfo(*info[2])
        return self._subprocess
_get_subprocess(self=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, self._env_vars=None, self._start_executable='/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/bin/python', self.executable='/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/bin/python', self.path='/local/rcs/XXX/miniforge3/envs/davidhalter+jedi', self.version_info=VersionInfo(major=3, minor=9, micro=19))

('/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/bin/python', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi', (3, 9, 19))


def _get_process(self):
        debug.dbg('Start environment subprocess %s', self._executable)
        parso_path = sys.modules['parso'].__file__
        args = (
            self._executable,
            _MAIN_PATH,
            os.path.dirname(os.path.dirname(parso_path)),
            '.'.join(str(x) for x in sys.version_info[:3]),
        )
        process = _GeneralizedPopen(
            args,
            stdin=subprocess.PIPE,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            env=self._env_vars
        )
        self._stderr_queue = queue.Queue()
        self._stderr_thread = t = Thread(
            target=_enqueue_output,
            args=(process.stderr, self._stderr_queue)
        )
        t.daemon = True
        t.start()
        self._cleanup_callable = weakref.finalize(self,
                                                  _cleanup_process,
                                                  process,
                                                  t)
        return process
_get_process(self=<CompiledSubprocess _executable='/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/bin/python', is_crashed=False, pid=2345289>, self._cleanup_callable=<function CompiledSubprocess.__init__.<locals>.<lambda> at 0x7f5856bb9040>, self._env_vars=None, self._executable='/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/bin/python', self._inference_state_deletion_queue=deque([]), self._memoize_method_dct={<function CompiledSubprocess._get_process at 0x7f5866382310>: {}})

<finalize object at 0x7f5856b04060; for 'CompiledSubprocess' at 0x7f5864f8f640>

<Popen: returncode: None args: ('/local/rcs/XXX/miniforge3/envs/davidhalt...>

<Thread(Thread-1, started daemon 140017387796032)>


<Popen: returncode: None args: ('/local/rcs/XXX/miniforge3/envs/davidhalt...>


def _get_module(self):
        names = None
        is_package = False
        if self.path is not None:
            import_names, is_p = transform_path_to_dotted(
                self._inference_state.get_sys_path(add_parent_paths=False),
                self.path
            )
            if import_names is not None:
                names = import_names
                is_package = is_p
        if self.path is None:
            file_io = None
        else:
            file_io = KnownContentFileIO(self.path, self._code)
        if self.path is not None and self.path.suffix == '.pyi':
            stub_module = load_proper_stub_module(
                self._inference_state,
                self._inference_state.latest_grammar,
                file_io,
                names,
                self._module_node
            )
            if stub_module is not None:
                return stub_module
        if names is None:
            names = ('__main__',)
        module = ModuleValue(
            self._inference_state, self._module_node,
            file_io=file_io,
            string_names=names,
            code_lines=self._code_lines,
            is_package=is_package,
        )
        if names[0] not in ('builtins', 'typing'):
            self._inference_state.module_cache.add(names, ValueSet([module]))
        return module
_get_module(self=<Script: 'example.py' <SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>>, self._code='\nimport json\njson.lo', self._code_lines=['\n', 'import json\n', 'json.lo'], self._inference_state=<jedi.inference.InferenceState object at 0x7f58651a5b80>, self._memoize_method_dct={<function Script._get_module at 0x7f586623a040>: {}}, self._module_node=<Module: @2-3>, self._orig_path='example.py', self.path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'))


import_names, is_p = transform_path_to_dotted(


def _get_sys_path(self, inference_state, add_parent_paths=True, add_init_paths=False):
        suffixed = list(self.added_sys_path)
        prefixed = []
        if self._sys_path is None:
            sys_path = list(self._get_base_sys_path(inference_state))
        else:
            sys_path = list(self._sys_path)
        if self._smart_sys_path:
            prefixed.append(str(self._path))
            if inference_state.script_path is not None:
                suffixed += map(str, discover_buildout_paths(
                    inference_state,
                    inference_state.script_path
                ))
                if add_parent_paths:
                    traversed = []
                    for parent_path in inference_state.script_path.parents:
                        if parent_path == self._path \
                                or self._path not in parent_path.parents:
                            break
                        if not add_init_paths \
                                and parent_path.joinpath("__init__.py").is_file():
                            continue
                        traversed.append(str(parent_path))
                    suffixed += reversed(traversed)
        if self._django:
            prefixed.append(str(self._path))
        path = prefixed + sys_path + suffixed
        return list(_remove_duplicates_from_path(path))
_get_sys_path(self=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, inference_state={environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'), compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5865030a00>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function Project._get_sys_path at 0x7f58661fc310>: {}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5865685b80>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f586523f4f0>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f58652edf70>}, add_parent_paths=False, add_init_paths=False, self._django=False, self._environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, self._environment_path=None, self._load_unsafe_extensions=False, self._path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi'), self._smart_sys_path=True, self._sys_path=None, self.added_sys_path=[])

{environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'), compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5865030a00>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function Project._get_sys_path at 0x7f58661fc310>: {}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f58651a5b80>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5865685b80>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f586523f4f0>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f58652edf70>}


def remove_python_path_suffix(path):
    for suffix in all_suffixes() + ['.pyi']:
        if path.suffix == suffix:
            path = path.with_name(path.stem)
            break
    return path
remove_python_path_suffix(path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'))


def complete_dict(module_context, code_lines, leaf, position, string, fuzzy):
    bracket_leaf = leaf
    if bracket_leaf != '[':
        bracket_leaf = leaf.get_previous_leaf()
    cut_end_quote = ''
    if string:
        cut_end_quote = get_quote_ending(string, code_lines, position, invert_result=True)
    if bracket_leaf == '[':
        if string is None and leaf is not bracket_leaf:
            string = cut_value_at_position(leaf, position)
        context = module_context.create_context(bracket_leaf)
        before_node = before_bracket_leaf = bracket_leaf.get_previous_leaf()
        if before_node in (')', ']', '}'):
            before_node = before_node.parent
        if before_node.type in ('atom', 'trailer', 'name'):
            values = infer_call_of_leaf(context, before_bracket_leaf)
            return list(_completions_for_dicts(
                module_context.inference_state,
                values,
                '' if string is None else string,
                cut_end_quote,
                fuzzy=fuzzy,
            ))
    return []
complete_dict(module_context=ModuleContext(<ModuleValue: example@2-3 is_stub=False>), code_lines=['\n', 'import json\n', 'json.lo'], leaf=<Name: lo@3,5>, position=(3, 7), string=None, fuzzy=False)


def _get_code_for_stack(code_lines, leaf, position):
    if leaf.start_pos >= position:
        leaf = leaf.get_previous_leaf()
        if leaf is None:
            return ''
    is_after_newline = leaf.type == 'newline'
    while leaf.type == 'newline':
        leaf = leaf.get_previous_leaf()
        if leaf is None:
            return ''
    if leaf.type == 'error_leaf' or leaf.type == 'string':
        if leaf.start_pos[0] < position[0]:
            return ''
        raise OnErrorLeaf(leaf)
    else:
        user_stmt = leaf
        while True:
            if user_stmt.parent.type in ('file_input', 'suite', 'simple_stmt'):
                break
            user_stmt = user_stmt.parent
        if is_after_newline:
            if user_stmt.start_pos[1] > position[1]:
                return ''
        return _get_code(code_lines, user_stmt.get_start_pos_of_prefix(), position)
_get_code_for_stack(code_lines=['\n', 'import json\n', 'json.lo'], leaf=<Name: lo@3,5>, position=(3, 5))

PythonNode(atom_expr, [<Name: json@3,0>, PythonNode(trailer, [<Operator: .>, <Name: lo@3,5>])])


is_after_newline = leaf.type == 'newline'


def _get_code(code_lines, start_pos, end_pos):
    lines = code_lines[start_pos[0] - 1:end_pos[0]]
    lines[-1] = lines[-1][:end_pos[1]]
    lines[0] = lines[0][start_pos[1]:]
    return ''.join(lines)
_get_code(code_lines=['\n', 'import json\n', 'json.lo'], start_pos=(3, 0), end_pos=(3, 5))


def set_access_handle(self, handle):
        self._handles[handle.id] = handle
set_access_handle(self=<jedi.inference.compiled.subprocess.InferenceStateSameProcess object at 0x7f5855e8a5b0>, handle=<AccessHandle of DirectObjectAccess(<jedi.api.interpreter.NamespaceObject object at 0x..)>, self._handles={}, self._inference_state_id=140017375159920, self._inference_state_weakref=<weakref at 0x7f5855e1fd60; to 'InferenceState' at 0x7f5855e8a670>)

{140017375160592: <AccessHandle of DirectObjectAccess(<jedi.api.interpreter.NamespaceObject object at 0x..)>}


def create_from_access_path(inference_state, access_path):
    value = None
    for name, access in access_path.accesses:
        value = create_cached_compiled_value(
            inference_state,
            access,
            parent_context=None if value is None else value.as_context()
        )
    return value
create_from_access_path(inference_state={environment=<jedi.api.environment.InterpreterEnvironment object at 0x7f5855e8a400>, script_path=None, compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSameProcess object at 0x7f5855e8a5b0>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855e8a3d0>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=False, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=True, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a9a0>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855e8a520>}, access_path={accesses=[('jedi.api.interpreter', <AccessHandle of DirectObjectAccess(<module 'jedi.api.interpreter' from '/local/rcs/ji..)>), ('NamespaceObject', <AccessHandle of DirectObjectAccess(<jedi.api.interpreter.NamespaceObject object at 0x..)>)]})

{environment=<jedi.api.environment.InterpreterEnvironment object at 0x7f5855e8a400>, script_path=None, compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSameProcess object at 0x7f5855e8a5b0>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function create_cached_compiled_value at 0x7f586662d0d0>: {(<jedi.inference.InferenceState object at 0x7f5855e8a670>, (<AccessHandle of DirectObjectAccess(<module 'jedi.api.interpreter' from '/local/rcs/ji..)>, None), frozenset()): <CompiledModule: <module 'jedi.api.interpreter' from '/local/rcs/ji..>}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855e8a3d0>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=False, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=True, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a9a0>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855e8a520>}

{environment=<jedi.api.environment.InterpreterEnvironment object at 0x7f5855e8a400>, script_path=None, compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSameProcess object at 0x7f5855e8a5b0>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function create_cached_compiled_value at 0x7f586662d0d0>: {(<jedi.inference.InferenceState object at 0x7f5855e8a670>, (<AccessHandle of DirectObjectAccess(<module 'jedi.api.interpreter' from '/local/rcs/ji..)>, None), frozenset()): <CompiledModule: <module 'jedi.api.interpreter' from '/local/rcs/ji..>, (<jedi.inference.InferenceState object at 0x7f5855e8a670>, (<AccessHandle of DirectObjectAccess(<jedi.api.interpreter.NamespaceObject object at 0x..)>, CompiledModuleContext(<CompiledModule: <module 'jedi.api.interpreter' from '/local/rcs/ji..>)), frozenset()): <CompiledValue: <jedi.api.interpreter.NamespaceObject object at 0x..>}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855e8a3d0>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=False, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=True, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a9a0>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855e8a520>}


def infer_node(context, element):
    if isinstance(context, CompForContext):
        return _infer_node(context, element)
    if_stmt = element
    while if_stmt is not None:
        if_stmt = if_stmt.parent
        if if_stmt.type in ('if_stmt', 'for_stmt'):
            break
        if parser_utils.is_scope(if_stmt):
            if_stmt = None
            break
    predefined_if_name_dict = context.predefined_names.get(if_stmt)
    if predefined_if_name_dict is None and if_stmt \
            and if_stmt.type == 'if_stmt' and context.inference_state.is_analysis:
        if_stmt_test = if_stmt.children[1]
        name_dicts = [{}]
        if element.start_pos > if_stmt_test.end_pos:
            if_names = get_names_of_node(if_stmt_test)
            element_names = get_names_of_node(element)
            str_element_names = [e.value for e in element_names]
            if any(i.value in str_element_names for i in if_names):
                for if_name in if_names:
                    definitions = context.inference_state.infer(context, if_name)
                    if len(definitions) > 1:
                        if len(name_dicts) * len(definitions) > 16:
                            debug.dbg('Too many options for if branch inference %s.', if_stmt)
                            name_dicts = [{}]
                            break
                        original_name_dicts = list(name_dicts)
                        name_dicts = []
                        for definition in definitions:
                            new_name_dicts = list(original_name_dicts)
                            for i, name_dict in enumerate(new_name_dicts):
                                new_name_dicts[i] = name_dict.copy()
                                new_name_dicts[i][if_name.value] = ValueSet([definition])
                            name_dicts += new_name_dicts
                    else:
                        for name_dict in name_dicts:
                            name_dict[if_name.value] = definitions
        if len(name_dicts) > 1:
            result = NO_VALUES
            for name_dict in name_dicts:
                with context.predefine_names(if_stmt, name_dict):
                    result |= _infer_node(context, element)
            return result
        else:
            return _infer_node_if_inferred(context, element)
    else:
        if predefined_if_name_dict:
            return _infer_node(context, element)
        else:
            return _infer_node_if_inferred(context, element)
infer_node(context=ModuleContext(<ModuleValue: __main__@2-8 is_stub=False>), element=PythonNode(test, [<Name: f@8,11>, <Keyword: if>, PythonNode(atom_expr, [<Name: random@8,16>, PythonNode(trailer, [<Operator: .>, <Name: choice@8,23>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Number: 0>, <Operator: ,>, <Number: 1>]), <Operator: ]>]), <Operator: )>])]), <Keyword: else>, <Name: C@8,42>]))

<ExprStmt: variable = f if random.choice([0,1]) else C@8,0>


def builtins_module(self):
        module_name = 'builtins'
        builtins_module, = self.import_module((module_name,), sys_path=[])
        return builtins_module
builtins_module(self=<jedi.inference.InferenceState object at 0x7f5855d8ac40>, self.access_cache={}, self.allow_unsafe_executions=False, self.analysis=[], self.compiled_cache={}, self.compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5855d8a730>, self.do_dynamic_params_search=True, self.dynamic_params_depth=0, self.environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, self.execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855d8abb0>, self.flow_analysis_enabled=True, self.grammar=<PythonGrammar:single_input file_input eval_input ...>, self.inferred_element_counts={<Module: @2-8>: 2}, self.is_analysis=False, self.latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, self.memoize_cache={<function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: __main__@2-8 is_stub=False>), (PythonNode(test, [<Name: f@8,11>, <Keyword: if>, PythonNode(atom_expr, [<Name: random@8,16>, PythonNode(trailer, [<Operator: .>, <Name: choice@8,23>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Number: 0>, <Operator: ,>, <Number: 1>]), <Operator: ]>]), <Operator: )>])]), <Keyword: else>, <Name: C@8,42>]),), frozenset()): S{}}, <function InferenceState.builtins_module at 0x7f586630b4c0>: {}}, self.mixed_cache={}, self.module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855d8a430>, self.project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, self.recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a970>, self.script_path=None, self.stub_module_cache={})

{<function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: __main__@2-8 is_stub=False>), (PythonNode(test, [<Name: f@8,11>, <Keyword: if>, PythonNode(atom_expr, [<Name: random@8,16>, PythonNode(trailer, [<Operator: .>, <Name: choice@8,23>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Number: 0>, <Operator: ,>, <Number: 1>]), <Operator: ]>]), <Operator: )>])]), <Keyword: else>, <Name: C@8,42>]),), frozenset()): S{}}, <function InferenceState.builtins_module at 0x7f586630b4c0>: {}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855d8ac40>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function create_cached_compiled_value at 0x7f586662d0d0>: {(<jedi.inference.InferenceState object at 0x7f5855d8ac40>, (<AccessHandle of #140274588125920>, None), frozenset()): <CompiledModule: <module 'builtins' (built-in)>>}}


def from_sets(cls, sets):
        aggregated = set()
        for set_ in sets:
            if isinstance(set_, ValueSet):
                aggregated |= set_._set
            else:
                aggregated |= frozenset(set_)
        return cls._from_frozen_set(frozenset(aggregated))
from_sets(cls=<class 'jedi.inference.base_value.ValueSet'>, sets=<generator object import_module_decorator.<locals>.wrapper.<locals>.<genexpr> at 0x7f5855c90190>)

S{<CompiledModule: <module 'builtins' (built-in)>>}


{<CompiledModule: <module 'builtins' (built-in)>>}


def load_module(inference_state, dotted_name, **kwargs):
    if dotted_name.startswith('tensorflow.'):
        return None
    access_path = inference_state.compiled_subprocess.load_module(dotted_name=dotted_name, **kwargs)
    if access_path is None:
        return None
    return create_from_access_path(inference_state, access_path)
load_module(inference_state={environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=None, compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5855d8a730>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: __main__@2-8 is_stub=False>), (PythonNode(test, [<Name: f@8,11>, <Keyword: if>, PythonNode(atom_expr, [<Name: random@8,16>, PythonNode(trailer, [<Operator: .>, <Name: choice@8,23>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Number: 0>, <Operator: ,>, <Number: 1>]), <Operator: ]>]), <Operator: )>])]), <Keyword: else>, <Name: C@8,42>]),), frozenset()): S{}}, <function InferenceState.builtins_module at 0x7f586630b4c0>: {}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855d8ac40>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855d8a430>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={<Module: @2-8>: 2}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a970>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855d8abb0>}, dotted_name='builtins', kwargs={'sys_path': []})

{accesses=[('builtins', <AccessHandle of #140274588125920>)]}

{environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=None, compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5855d8a730>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: __main__@2-8 is_stub=False>), (PythonNode(test, [<Name: f@8,11>, <Keyword: if>, PythonNode(atom_expr, [<Name: random@8,16>, PythonNode(trailer, [<Operator: .>, <Name: choice@8,23>]), PythonNode(trailer, [<Operator: (>, PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Number: 0>, <Operator: ,>, <Number: 1>]), <Operator: ]>]), <Operator: )>])]), <Keyword: else>, <Name: C@8,42>]),), frozenset()): S{}}, <function InferenceState.builtins_module at 0x7f586630b4c0>: {}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855d8ac40>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function create_cached_compiled_value at 0x7f586662d0d0>: {(<jedi.inference.InferenceState object at 0x7f5855d8ac40>, (<AccessHandle of #140274588125920>, None), frozenset()): <CompiledModule: <module 'builtins' (built-in)>>}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855d8a430>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={<Module: @2-8>: 2}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855e8a970>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855d8abb0>}


def get_root_context(self):
        value = self
        if value.parent_context is None:
            return value.as_context()
        while True:
            if value.parent_context is None:
                return value
            value = value.parent_context
get_root_context(self=<FunctionValue: <Function: f@1-3>>, self.inference_state=<jedi.inference.InferenceState object at 0x7f5855c938e0>, self.parent_context=ModuleContext(<ModuleValue: example@1-3 is_stub=False>), self.tree_node=<Function: f@1-3>)


def infer_atom(context, atom):
    state = context.inference_state
    if atom.type == 'name':
        stmt = tree.search_ancestor(atom, 'expr_stmt', 'lambdef', 'if_stmt') or atom
        if stmt.type == 'if_stmt':
            if not any(n.start_pos <= atom.start_pos < n.end_pos for n in stmt.get_test_nodes()):
                stmt = atom
        elif stmt.type == 'lambdef':
            stmt = atom
        position = stmt.start_pos
        if _is_annotation_name(atom):
            position = None
        return context.py__getattribute__(atom, position=position)
    elif atom.type == 'keyword':
        if atom.value in ('False', 'True', 'None'):
            return ValueSet([compiled.builtin_from_name(state, atom.value)])
        elif atom.value == 'yield':
            return NO_VALUES
        assert False, 'Cannot infer the keyword %s' % atom
    elif isinstance(atom, tree.Literal):
        string = state.compiled_subprocess.safe_literal_eval(atom.value)
        return ValueSet([compiled.create_simple_object(state, string)])
    elif atom.type == 'strings':
        value_set = infer_atom(context, atom.children[0])
        for string in atom.children[1:]:
            right = infer_atom(context, string)
            value_set = _infer_comparison(context, value_set, '+', right)
        return value_set
    elif atom.type == 'fstring':
        return compiled.get_string_value_set(state)
    else:
        c = atom.children
        if c[0] == '(' and not len(c) == 2 \
                and not (c[1].type == 'testlist_comp'
                         and len(c[1].children) > 1):
            return context.infer_node(c[1])
        try:
            comp_for = c[1].children[1]
        except (IndexError, AttributeError):
            pass
        else:
            if comp_for == ':':
                try:
                    comp_for = c[1].children[3]
                except IndexError:
                    pass
            if comp_for.type in ('comp_for', 'sync_comp_for'):
                return ValueSet([iterable.comprehension_from_atom(
                    state, context, atom
                )])
        array_node = c[1]
        try:
            array_node_c = array_node.children
        except AttributeError:
            array_node_c = []
        if c[0] == '{' and (array_node == '}' or ':' in array_node_c
                            or '**' in array_node_c):
            new_value = iterable.DictLiteralValue(state, context, atom)
        else:
            new_value = iterable.SequenceLiteralValue(state, context, atom)
        return ValueSet([new_value])
infer_atom(context=ModuleContext(<ModuleValue: example@2-3 is_stub=False>), atom=<Name: os@3,0>)

{environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'), compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5855c93d90>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function Project._get_sys_path at 0x7f58661fc310>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855c93e80>,), frozenset({('add_parent_paths', False)})): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855c93e80>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: example@2-3 is_stub=False>), (<Name: os@3,0>,), frozenset()): S{}}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855c930a0>, stub_module_cache={}, compiled_cache={}, inferred_element_counts={<Module: @2-3>: 1}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855c93a60>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855c93970>}

{environment=<SameEnvironment: 3.9.19 in /local/rcs/XXX/miniforge3/envs/davidhalter+jedi>, script_path=PosixPath('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/example.py'), compiled_subprocess=<jedi.inference.compiled.subprocess.InferenceStateSubprocess object at 0x7f5855c93d90>, grammar=<PythonGrammar:single_input file_input eval_input ...>, latest_grammar=<PythonGrammar:single_input file_input eval_input ...>, memoize_cache={<function Project._get_sys_path at 0x7f58661fc310>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855c93e80>,), frozenset({('add_parent_paths', False)})): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg'], (<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855c93e80>,), frozenset({('add_init_paths', True)})): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function Project._get_base_sys_path at 0x7f58661fc430>: {(<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, (<jedi.inference.InferenceState object at 0x7f5855c93e80>,), frozenset()): ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi', '/local/rcs/XXX/code/pytrace-collector', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python39.zip', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/lib-dynload', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages', '/local/rcs/XXX/miniforge3/envs/davidhalter+jedi/lib/python3.9/site-packages/PySnooper-1.2.0-py3.9.egg']}, <function _infer_node_cached at 0x7f58663563a0>: {(ModuleContext(<ModuleValue: example@2-3 is_stub=False>), (<Name: os@3,0>,), frozenset()): S{}}, <function infer_import at 0x7f58663911f0>: {(ModuleContext(<ModuleValue: example@2-3 is_stub=False>), (<Name: os@2,7>,), frozenset()): S{}}, <function check_sys_path_modifications at 0x7f58667ae0d0>: {(ModuleContext(<ModuleValue: example@2-3 is_stub=False>), (), frozenset()): []}}, module_cache=<jedi.inference.imports.ModuleCache object at 0x7f5855c930a0>, stub_module_cache={('os',): None}, compiled_cache={}, inferred_element_counts={<Module: @2-3>: 1}, mixed_cache={}, analysis=[], dynamic_params_depth=0, do_dynamic_params_search=True, is_analysis=False, project=<Project: /local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi>, access_cache={}, allow_unsafe_executions=False, flow_analysis_enabled=True, recursion_detector=<jedi.inference.recursion.RecursionDetector object at 0x7f5855c93a60>, execution_recursion_detector=<jedi.inference.recursion.ExecutionRecursionDetector object at 0x7f5855c93970>}


def filter_name(filters, name_or_str):
    string_name = name_or_str.value if isinstance(name_or_str, Name) else name_or_str
    names = []
    for filter in filters:
        names = filter.get(string_name)
        if names:
            break
    return list(_remove_del_stmt(names))
filter_name(filters=<generator object get_global_filters at 0x7f58558d9820>, name_or_str=<Name: os@3,0>)

[<TreeNameDefinition: string_name=os start_pos=(2, 7)>]

MergedFilter(<ParserTreeFilter: ModuleContext(<ModuleValue: example@2-3 is_stub=False>)>, <GlobalNameFilter: ModuleContext(<ModuleValue: example@2-3 is_stub=False>)>)


MergedFilter(<ParserTreeFilter: ModuleContext(<ModuleValue: example@2-3 is_stub=False>)>, <GlobalNameFilter: ModuleContext(<ModuleValue: example@2-3 is_stub=False>)>)


[<TreeNameDefinition: string_name=os start_pos=(2, 7)>]


def reachability_check(context, value_scope, node, origin_scope=None):
    if is_big_annoying_library(context) \
            or not context.inference_state.flow_analysis_enabled:
        return UNSURE
    first_flow_scope = get_parent_scope(node, include_flows=True)
    if origin_scope is not None:
        origin_flow_scopes = list(_get_flow_scopes(origin_scope))
        node_flow_scopes = list(_get_flow_scopes(node))
        branch_matches = True
        for flow_scope in origin_flow_scopes:
            if flow_scope in node_flow_scopes:
                node_keyword = get_flow_branch_keyword(flow_scope, node)
                origin_keyword = get_flow_branch_keyword(flow_scope, origin_scope)
                branch_matches = node_keyword == origin_keyword
                if flow_scope.type == 'if_stmt':
                    if not branch_matches:
                        return UNREACHABLE
                elif flow_scope.type == 'try_stmt':
                    if not branch_matches and origin_keyword == 'else' \
                            and node_keyword == 'except':
                        return UNREACHABLE
                if branch_matches:
                    break
        while origin_scope is not None:
            if first_flow_scope == origin_scope and branch_matches:
                return REACHABLE
            origin_scope = origin_scope.parent
    return _break_check(context, value_scope, first_flow_scope, node)
reachability_check(context=ModuleContext(<ModuleValue: example@2-3 is_stub=False>), value_scope=<Module: @2-3>, node=<Name: os@2,7>, origin_scope=<Name: os@3,0>)

PythonNode(atom_expr, [<Name: os@3,0>, PythonNode(trailer, [<Operator: .>, <Name: path@3,3>]), PythonNode(trailer, [<Operator: .>, <Name: join@3,8>])])


def _get_flow_scopes(node):
    while True:
        node = get_parent_scope(node, include_flows=True)
        if node is None or is_scope(node):
            return
        yield node
_get_flow_scopes(node=<Name: os@3,0>)


def get_flow_branch_keyword(flow_node, node):
    start_pos = node.start_pos
    if not (flow_node.start_pos < start_pos <= flow_node.end_pos):
        raise ValueError('The node is not part of the flow.')
    keyword = None
    for i, child in enumerate(flow_node.children):
        if start_pos < child.start_pos:
            return keyword
        first_leaf = child.get_first_leaf()
        if first_leaf in _FLOW_KEYWORDS:
            keyword = first_leaf
    return None
get_flow_branch_keyword(flow_node=<ForStmt: for variable in [keyword, f, C, x]:     variable@15,0>, node=<Name: variable@15,4>)


def _infer_node_if_inferred(context, element):
    parent = element
    while parent is not None:
        parent = parent.parent
        predefined_if_name_dict = context.predefined_names.get(parent)
        if predefined_if_name_dict is not None:
            return _infer_node(context, element)
    return _infer_node_cached(context, element)
_infer_node_if_inferred(context=ModuleContext(<ModuleValue: __main__@2-16 is_stub=False>), element=PythonNode(atom, [<Operator: [>, PythonNode(testlist_comp, [<Name: keyword@15,17>, <Operator: ,>, <Name: f@15,26>, <Operator: ,>, <Name: C@15,29>, <Operator: ,>, <Name: x@15,32>]), <Operator: ]>]))

<ForStmt: for variable in [keyword, f, C, x]:     variable@15,0>


def get_executable_nodes(node, last_added=False):
    result = []
    typ = node.type
    if typ == 'name':
        next_leaf = node.get_next_leaf()
        if last_added is False and node.parent.type != 'param' and next_leaf != '=':
            result.append(node)
    elif typ == 'expr_stmt':
        result.append(node)
        for child in node.children:
            result += get_executable_nodes(child, last_added=True)
    elif typ == 'decorator':
        if node.children[-2] == ')':
            node = node.children[-3]
            if node != '(':
                result += get_executable_nodes(node)
    else:
        try:
            children = node.children
        except AttributeError:
            pass
        else:
            if node.type in _EXECUTE_NODES and not last_added:
                result.append(node)
            for child in children:
                result += get_executable_nodes(child, last_added)
    return result
get_executable_nodes(node=<Name: bar@1,0>, last_added=True)