Why does "from [Module] import [Something]" takes more time than "import [Module"

Why does "from [Module] import [Something]" takes more time than "import [Module"

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Why does "from [Module] import [Something]" takes more time than "import [Module"
Tag : python , By : al.
Date : November 24 2020, 05:44 AM

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Why is behavior different with respect to global variables in "import module" vs "from module import * &q

Tag : python , By : doctorbigtime
Date : March 29 2020, 07:55 AM
it fixes the issue When you ask for a.spam there happens a namespace search in the module a and spam is found. But when you ask for just spam:
>>> from a import *  # imported foo, spam doesn't exist yet
>>> foo()
from a import *
from a import *

Is it right that "import pkg.module" is equivalent "import module" in pkg/__init.py__ in 2.7 but not

Tag : python , By : Ian Badcoe
Date : March 29 2020, 07:55 AM
it helps some times Your assumptions are basically right.
The second way may not work in Python 2.7 if there is a module named module in the module search path (sys.path) before the one you actually want to import. That's why Python 3 switched to absolute imports, to make importing safer and more predictable.
from . import module

Tag : development , By : kangfoo2
Date : March 29 2020, 07:55 AM
To fix this issue It turns out that the problem really is the symlink structure. In particular running unittest using the virtual path fails:
python -m unittest <PROJECT_LINKED_DIR>/module/module_test.py
python -m unittest <PROJECT_ACTUAL_DIR>/module/module_test.py

How do I install and run pytorch in MSVS2017 (to avoid "module not found" error on "import torch" st

Tag : python , By : Nic Doye
Date : March 29 2020, 07:55 AM
this will help Probably, at the date of our MSVS2017 installation (esp. if prior to April 2018), there were no official .whl files for Windows pytorch (this has since changed). Also, given the default installation pathway, permissions on Windows (or file lock access) may be a problem (for example, when attempting to install to the "c:\ProgramData" folder).
The solution is to 1) ensure all pytorch requisites are installed first (for example, if, during your failed pytorch installation you get a "_____ requires _____ which is not installed, for example cython, then install cython) 2) avoid permission errors by using the --user switch, and 3) install directly from the online repository.

On Windows, running "import tensorflow" generates No module named "_pywrap_tensorflow" error

Tag : tensorflow , By : Mariocki
Date : March 29 2020, 07:55 AM
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