Metadata-Version: 2.4
Name: lazyr
Version: 0.0.24
Summary: Creates lazily-imported modules in a more readable and safer way.
Home-page: https://github.com/Chitaoji/lazyr/
Author: Chitaoji
Author-email: 2360742040@qq.com
License: BSD
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8.13
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary


# lazyr
Creates lazily-imported modules in a more readable and safer way.

A lazily-imported module (or a lazy module, to be short) is not physically loaded in the Python environment until its attributes are being accessed. This could be useful when you are importing some modules that are hardly used but take a lot of time to be loaded.

## README.md

* en [English](README.md)
* zh_CN [简体中文](README.zh_CN.md)

## Installation

```sh
$ pip install lazyr
```

## Usage
### Make a lazy module
Make *numpy* become a lazy module, for example:

```py
>>> import lazyr
>>> lazyr.register("numpy") # numpy becomes a lazy module
LazyModule(numpy) # this is the LazyModule object

>>> import numpy as np # numpy is not loaded since it's lazy
>>> np
LazyModule(numpy) # np is assigned the LazyModule object instead

>>> arr = np.array([]) # numpy is actually loaded now
>>> np
<module 'numpy' from '/../..'>
```

There is also a simpler way to create a lazy module, but it may cause *type hints* to lose efficacy:

```py
>>> np = lazyr.register("numpy")
```

### Check if a module is lazy

Use `islazy()` to check if a module is lazy or not:

```py
>>> scipy = lazyr.register("scipy")
>>> lazyr.islazy(scipy)
True
```

### Wake up a module

The lazy modules are not physically loaded until their attrubutes are imported or used, but sometimes you may want to activate a lazy module without accessing any of its attributes. On that purpose, you can 'wake up' the module like this:

```py
>>> lazyr.wakeup(scipy) # scipy is woken up and loaded
>>> lazyr.islazy(scipy)
False
```

### Ignore attributes

You can make a module even lazier by setting the `ignore` parameter of `register()`, which specifies the names of submodules to be ignored. The ignored submodules will become lazy modules, too.

```py
>>> lazyr.register("pandas", ignore=["DataFrame", "Series"]) # make DataFrame and Series lazy modules
LazyModule(pandas, ignore=['DataFrame', 'Series'])
```

The statement above has roughly the same effect as the following code piece:

```py
>>> _, _ = lazyr.register("pandas.DataFrame"), lazyr.register("pandas.Series")
```

### List all lazy modules

Use `listall()` to check all the inactivated lazy modules in the system:

```py
>>> lazyr.listall()
[LazyModule(pandas, ignore=['Series', 'DataFrame']), LazyModule(pandas.DataFrame), LazyModule(pandas.Series)]
```

### Logging

Specify the `verbose` parameter when calling `register()` to see what exactly will happen to a lazy module during the runtime:

```py
>>> _ = lazyr.register("matplotlib.pyplot", verbose=2)
INFO:lazyr:register --> matplotlib.pyplot
INFO:lazyr:register --> matplotlib

>>> import matplotlib.pyplot as plt
DEBUG:lazyr:access --> matplotlib.pyplot.__spec__
DEBUG:lazyr:access --> matplotlib.__spec__
DEBUG:lazyr:access --> matplotlib.pyplot

>>> plot = plt.plot
DEBUG:lazyr:access --> matplotlib.pyplot.plot
INFO:lazyr:load --> matplotlib.pyplot(.plot)
```

## See Also
### Github repository
* https://github.com/Chitaoji/lazyr/

### PyPI project
* https://pypi.org/project/lazyr/

## License
This project falls under the BSD 3-Clause License.

## History
### v0.0.24
* Updated `register()`: verbosity will be set to the argument `verbose` if lazy module exists.
* Beautified the logging messages.

### v0.0.23
* Updated `register()`: now error will be raised when attempting relative import with no known parent package.

### v0.0.21
* Updated the logging function.

### v0.0.19
* New global variable `VERBOSE`.

### v0.0.18
* Even objects that are not modules can be registered as lazy-modules now, e.g., `pandas.DataFrame`, `numpy.array`, etc.
* The statement `register("foo", ignore=["bar"])` will have the same effect as `register("foo.bar")` now.
* New function `list()`, for checking all the inactivated lazy modules in the system.

### v0.0.17
* Updated README.

### v0.0.16
* New function `islazy()`, for checking the status of a module.
* Improved the representational strings of lazy modules.

### v0.0.15
* Various improvements.

### v0.0.12
* Prettier logs.

### v0.0.11
* Fixed the meta-data.
* Performance enhancements.

### v0.0.9
* Updated LICENSE.

### v0.0.7
* Removed unnecessary objects from the main `lazyr` namespace.

### v0.0.6
* Improved logging:
    * Created a separate logger named 'lazyr' for lazy modules;
    * More detailed logs when `verbose` > 0.

### v0.0.4
* `LazyModule` no longer activated by `_ipython_*()` or `_repr_*()` methods.

### v0.0.3
* Various improvements.

### v0.0.2
* New function `wakeup()`, for compulsively activating modules.

### v0.0.1
* Initial release.
