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a z[ycO � @ s� U d Z ddlmZ ddlmZ ddlmZmZmZ ddl Z zbddl Z ddl m Z ddlmZmZ ddlmZmZmZ dd lmZ eege f ZdZd ed < W n( ey� Z zeZW Y dZ[n dZ[0 0 g Z d ed < dd�dd�Z d d�dd�Z dd�dd�Z e � Z ded< e � Z!ded< e � Z"ded< dd d �d d �Z#e�sFedu �r�d dd!d"�d#d$�Z$d%dd&d'd(�d)d*�Z%G d+d,� d,e�Z&dd-d.�d/d0�Z'ndd-d.�d1d0�Z'dS )2a A mypy_ plugin for managing a number of platform-specific annotations. Its functionality can be split into three distinct parts: * Assigning the (platform-dependent) precisions of certain `~numpy.number` subclasses, including the likes of `~numpy.int_`, `~numpy.intp` and `~numpy.longlong`. See the documentation on :ref:`scalar types <arrays.scalars.built-in>` for a comprehensive overview of the affected classes. Without the plugin the precision of all relevant classes will be inferred as `~typing.Any`. * Removing all extended-precision `~numpy.number` subclasses that are unavailable for the platform in question. Most notably this includes the likes of `~numpy.float128` and `~numpy.complex256`. Without the plugin *all* extended-precision types will, as far as mypy is concerned, be available to all platforms. * Assigning the (platform-dependent) precision of `~numpy.ctypeslib.c_intp`. Without the plugin the type will default to `ctypes.c_int64`. .. versionadded:: 1.22 Examples -------- To enable the plugin, one must add it to their mypy `configuration file`_: .. code-block:: ini [mypy] plugins = numpy.typing.mypy_plugin .. _mypy: http://mypy-lang.org/ .. _configuration file: https://mypy.readthedocs.io/en/stable/config_file.html � )� annotations)�Iterable)�Final� TYPE_CHECKING�CallableN)�Type)�Plugin�AnalyzeTypeContext)�MypyFile� ImportFrom� Statement)�PRI_MEDzNone | ModuleNotFoundError�MYPY_EXz list[str]�__all__zdict[str, str])�returnc C s� dt jfdt jfdt jfdt jfdt jfdt jfdt jfdt jfd t j fd t j fg } i }| D ],\}}d |� j j }d |� d �|d|� �< q\|S )NZ _NBitByteZ _NBitShortZ _NBitIntCZ _NBitIntPZ_NBitIntZ _NBitLongLongZ _NBitHalfZ _NBitSingleZ _NBitDoubleZ_NBitLongDouble� znumpy._ZBit�numpy._typing._nbit.) �npZbyteZshortZintcZintpZint_�longlongZhalfZsingleZdouble� longdouble�dtype�itemsize)�names�ret�name�typ�n� r �>/usr/lib64/python3.9/site-packages/numpy/typing/mypy_plugin.py�_get_precision_dict8 s � r c s. t jt jt jt jg} h d�� � fdd�| D �S )N> Zuint256Zfloat256Zint128Zuint128Z complex160Z complex192Zint256Zfloat128Z complex512Zfloat96Z complex256Zfloat80c s g | ]}|j � v r|j �qS r )�__name__)�.0�i�Zextended_namesr r � <listcomp>] � z0_get_extended_precision_list.<locals>.<listcomp>)r Z ulonglongr r Z clongdouble)Zextended_typesr r# r � _get_extended_precision_listM s r& �strc C s8 t �d�j} | dkrdS | dkr$dS | dkr0dS dS d S )N�pr" Zc_int�lZc_long�qZ c_longlong)r r �char)r+ r r r �_get_c_intp_name` s r, r �_PRECISION_DICT�_EXTENDED_PRECISION_LIST�_C_INTPr r )�ctxr c C s2 | \}}}|j �d�d }td|� � }|�|�S )z;Replace a type-alias with a concrete ``NBitBase`` subclass.�.���r )r �splitr- Z named_type)r0 r �_Zapir Zname_newr r r �_hookx s r5 zIterable[Statement]�int)�iterable�idr c C s< t | �D ] \}}t|dd�|kr| S qtd|����dS )z>Identify the first ``ImportFrom`` instance the specified `id`.r8 NzBFailed to identify a `ImportFrom` instance with the following id: )� enumerate�getattr� ValueError)r7 r8 r" �valuer r r �_index� s �r= r z list[tuple[str, None | str]]�None)�file�module�importsr c C s< t |d|d�}d|_| j| jfD ]}t||�}|||< q dS )z<Override the first `module`-based import with new `imports`.r )r TN)r Z is_top_levelZdefsrA r= )r? r@ rA Z import_objZlstr" r r r �_override_imports� s rB c @ s0 e Zd ZdZddd�dd�Zddd �d d �Zd S ) � _NumpyPluginz>A mypy plugin for handling versus numpy-specific typing tasks.r' zNone | _HookFunc)�fullnamer c C s |t v r tS dS )z�Set the precision of platform-specific `numpy.number` subclasses. For example: `numpy.int_`, `numpy.longlong` and `numpy.longdouble`. N)r- r5 )�selfrD r r r �get_type_analyze_hook� s z"_NumpyPlugin.get_type_analyze_hookr zlist[tuple[int, str, int]])r? r c C sT t |jdfg}|jdkr2t|ddd� tD �d� n |jdkrPt|dtd fgd� |S ) a. Handle all import-based overrides. * Import platform-specific extended-precision `numpy.number` subclasses (*e.g.* `numpy.float96`, `numpy.float128` and `numpy.complex256`). * Import the appropriate `ctypes` equivalent to `numpy.intp`. r2 �numpyz!numpy._typing._extended_precisionc S s g | ] }||f�qS r r )r! �vr r r r$ � r% z4_NumpyPlugin.get_additional_deps.<locals>.<listcomp>)rA znumpy.ctypeslibZctypesZ_c_intp)r rD rB r. r/ )rE r? r r r r �get_additional_deps� s � �z _NumpyPlugin.get_additional_depsN)r � __module__� __qualname__�__doc__rF rI r r r r rC � s rC ztype[_NumpyPlugin])�versionr c C s t S )�An entry-point for mypy.)rC �rM r r r �plugin� s rP c C s t �dS )rN N)r rO r r r rP � s )(rL Z __future__r �collections.abcr �typingr r r rG r Z mypy.typesZmypyr Z mypy.pluginr r Z mypy.nodesr r r Z mypy.buildr Z _HookFuncr �__annotations__�ModuleNotFoundError�exr r r& r, r- r. r/ r5 r= rB rC rP r r r r �<module> s8 ! &
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