using for loop to install conda package
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.CondaPkg/env/Lib/site-packages/lazy_loader-0.2.dist-info/METADATA
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Metadata-Version: 2.1
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Name: lazy_loader
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Version: 0.2
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Summary: lazy_loader
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Author: Scientific Python Developers
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Requires-Python: >=3.7
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Description-Content-Type: text/markdown
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Classifier: Development Status :: 4 - Beta
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Requires-Dist: pre-commit >= 3.1 ; extra == "lint"
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Requires-Dist: pytest >= 7.2 ; extra == "test"
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Requires-Dist: pytest-cov >= 4.0 ; extra == "test"
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Project-URL: Home, https://scientific-python.org/specs/spec-0001/
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Project-URL: Source, https://github.com/scientific-python/lazy_loader
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Provides-Extra: lint
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Provides-Extra: test
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[](https://pypi.org/project/lazy_loader/)
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[](https://github.com/scientific-python/lazy_loader/actions?query=workflow%3A%22test%22)
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[](https://app.codecov.io/gh/scientific-python/lazy_loader/branch/main)
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`lazy_loader` makes it easy to load subpackages and functions on demand.
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## Motivation
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1. Allow subpackages to be made visible to users without incurring import costs.
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2. Allow external libraries to be imported only when used, improving import times.
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For a more detailed discussion, see [the SPEC](https://scientific-python.org/specs/spec-0001/).
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## Installation
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```
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pip install -U lazy_loader
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```
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## Usage
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### Lazily load subpackages
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Consider the `__init__.py` from [scikit-image](https://scikit-image.org):
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```python
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subpackages = [
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...,
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'filters',
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...
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]
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import lazy_loader as lazy
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__getattr__, __dir__, _ = lazy.attach(__name__, subpackages)
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```
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You can now do:
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```python
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import skimage as ski
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ski.filters.gaussian(...)
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```
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The `filters` subpackages will only be loaded once accessed.
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### Lazily load subpackages and functions
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Consider `skimage/filters/__init__.py`:
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```python
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from ..util import lazy
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__getattr__, __dir__, __all__ = lazy.attach(
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__name__,
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submodules=['rank'],
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submod_attrs={
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'_gaussian': ['gaussian', 'difference_of_gaussians'],
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'edges': ['sobel', 'scharr', 'prewitt', 'roberts',
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'laplace', 'farid']
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}
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)
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```
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The above is equivalent to:
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```python
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from . import rank
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from ._gaussian import gaussian, difference_of_gaussians
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from .edges import (sobel, scharr, prewitt, roberts,
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laplace, farid)
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```
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Except that all subpackages (such as `rank`) and functions (such as `sobel`) are loaded upon access.
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### Type checkers
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Static type checkers and IDEs cannot infer type information from
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lazily loaded imports. As a workaround you can load [type
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stubs](https://mypy.readthedocs.io/en/stable/stubs.html) (`.pyi`
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files) with `lazy.attach_stub`:
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```python
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import lazy_loader as lazy
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__getattr__, __dir__, _ = lazy.attach_stub(__name__, "subpackages.pyi")
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```
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Note that, since imports are now defined in `.pyi` files, those
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are not only necessary for type checking but also at runtime.
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The SPEC [describes this workaround in more
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detail](https://scientific-python.org/specs/spec-0001/#type-checkers).
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### Early failure
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With lazy loading, missing imports no longer fail upon loading the
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library. During development and testing, you can set the `EAGER_IMPORT`
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environment variable to disable lazy loading.
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### External libraries
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The `lazy.attach` function discussed above is used to set up package
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internal imports.
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Use `lazy.load` to lazily import external libraries:
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```python
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linalg = lazy.load('scipy.linalg') # `linalg` will only be loaded when accessed
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```
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You can also ask `lazy.load` to raise import errors as soon as it is called:
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```
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linalg = lazy.load('scipy.linalg', error_on_import=True)
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```
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