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debugging - Trace Python imports - Stack Overflow

    https://stackoverflow.com/questions/7332299/trace-python-imports
    import pdb pdb.set_trace () when foo.bar be imported, program will stop at pdb.set_trace () in pdb mode, where you can debug your code. For example, you can use "w" command to print the full calling stack. Share answered Sep 7, 2011 at 10:38 HYRY 89.6k 23 180 185 Add a comment Your Answer Post Your Answer

trace — Trace or track Python statement execution — Python …

    https://docs.python.org/3/library/trace.html
    import sys import trace # create a Trace object, telling it what to ignore, and whether to # do tracing or line-counting or both. tracer = trace. Trace ( ignoredirs = [ sys . prefix , sys . exec_prefix ], trace = 0 , count = 1 ) # run the new command using the given tracer tracer . run ( 'main()' ) # make a report, placing output in the current directory r = tracer . results () r . …

Trace Python imports | OurPython.com

    https://ourpython.com/python/trace-python-imports
    import pdb pdb.set_trace() when foo.bar be imported, program will stop at pdb.set_trace() in pdb mode, where you can debug your code. For example, …

How can I track python imports - newbedev.com

    https://newbedev.com/how-can-i-track-python-imports
    How can I track python imports Here's a simple (and slightly rudimentary;-) way to trace "who's trying to import what" in terms of module names : import inspect import __builtin__ savimp = __builtin__.__import__ def newimp(name, *x): caller = inspect.currentframe().f_back print name, caller.f_globals.get('__name__') return savimp(name, *x) __builtin__.__import__ = newimp

Python import: Advanced Techniques and Tips – Real …

    https://realpython.com/python-import/
    import importlib import pathlib from importlib import resources def _import (package, plugin): """Import the given plugin file from a package""" importlib. import_module (f " {package}. {plugin} ") def _import_all (package): """Import all plugins in a package""" files = resources. contents (package) plugins = [f [:-3] for f in files if f. endswith (".py") and f [0]!= "_"] for plugin in plugins: …

trace – Follow Python statements as they are executed

    https://pymotw.com/2/trace/
    Trace lets you set up fixtures and other dependencies before running a single function or execing a Python command to be traced. import trace from trace_example.recurse import recurse tracer = trace.Trace(count=False, trace=True) tracer.run('recurse (2)')

5. The import system — Python 3.10.4 documentation

    https://docs.python.org/3/reference/import.html
    Python includes a number of default finders and importers. The first one knows how to locate built-in modules, and the second knows how to locate frozen modules. A third default finder searches an import path for modules. The import path is a list of locations that may name file system paths or zip files. It can also be extended to search for any locatable …

Taming the Python Import System - Towards Data Science

    https://towardsdatascience.com/taming-the-python-import-system-fbee2bf0a1e4
    Absolute imports use the full path of the module from the project root, relative imports use dot notation. Absolute is more explicit on where the module exists in a project hierarchy, relative could be used if you don’t want to type long imports and don’t need to know the position of the module relative to the modules it is importing.

Python Circular Import Problem and Solutions - Python Pool

    https://www.pythonpool.com/python-circular-import/
    As python prefers importing from the local current directory first and then from site-packages, it will create a circular import problem. Generally, the Python Circular Import problem occurs when you accidentally name your working file the same as the module name and those modules depend on each other.

GitHub - IBM/import-tracker: Python utility for tracking third party ...

    https://github.com/IBM/import-tracker
    Import Tracker Import Tracker is a Python package offering a number of capabilities related to tracking and managing optional dependencies in Python projects. Specifically, this project enables developers to: Track the dependencies of a python project to map each module within the project to the set of dependencies it relies on.

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