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a z[yc� � @ s� d Z ddlmZ dd� Zdd� ZG dd� de�ZeG d d � d e��ZeG d d � d e��ZeG d d� de��Z eG dd� de ��Z eG dd� de ��Z ed�G dd� de ��Z ed�G dd� dee��ZeG dd� de��ZdS )z� Various richly-typed exceptions, that also help us deal with string formatting in python where it's easier. By putting the formatting in `__str__`, we also avoid paying the cost for users who silence the exceptions. � )� set_modulec C s t | �dkr| d S | S d S )N� r )�len)�tup� r �</usr/lib64/python3.9/site-packages/numpy/core/_exceptions.py� _unpack_tuple s r c C s t | t�sJ �| jj| _| S )aG A decorator that makes an exception class look like its base. We use this to hide subclasses that are implementation details - the user should catch the base type, which is what the traceback will show them. Classes decorated with this decorator are subject to removal without a deprecation warning. )� issubclass� Exception�__base__�__name__)�clsr r r �_display_as_base s r c @ s e Zd ZdZdd� ZdS )�UFuncTypeErrorz% Base class for all ufunc exceptions c C s || _ d S �N)�ufunc)�selfr r r r �__init__" s zUFuncTypeError.__init__N)r � __module__� __qualname__�__doc__r r r r r r s r c s( e Zd ZdZ� fdd�Zdd� Z� ZS )�_UFuncBinaryResolutionErrorz' Thrown when a binary resolution fails c s, t � �|� t|�| _t| j�dks(J �d S )N� )�superr �tuple�dtypesr �r r r �� __class__r r r ) s z$_UFuncBinaryResolutionError.__init__c C s dj | jjg| j�R � S )Nz7ufunc {!r} cannot use operands with types {!r} and {!r})�formatr r r �r r r r �__str__. s ���z#_UFuncBinaryResolutionError.__str__�r r r r r r! � __classcell__r r r r r & s r c s( e Zd ZdZ� fdd�Zdd� Z� ZS )�_UFuncNoLoopErrorz* Thrown when a ufunc loop cannot be found c s t � �|� t|�| _d S r )r r r r r r r r r 9 s z_UFuncNoLoopError.__init__c C s6 d� | jjt| jd | jj� �t| j| jjd � ��S )NzLufunc {!r} did not contain a loop with signature matching types {!r} -> {!r})r r r r r �ninr r r r r! = s ��z_UFuncNoLoopError.__str__r" r r r r r$ 6 s r$ c s e Zd Z� fdd�Z� ZS )�_UFuncCastingErrorc s" t � �|� || _|| _|| _d S r )r r �casting�from_�to)r r r' r( r) r r r r J s z_UFuncCastingError.__init__)r r r r r# r r r r r& H s r& c s( e Zd ZdZ� fdd�Zdd� Z� ZS )�_UFuncInputCastingErrorz, Thrown when a ufunc input cannot be casted c s t � �||||� || _d S r )r r �in_i�r r r' r( r) �ir r r r T s z _UFuncInputCastingError.__init__c C s8 | j jdkrd�| j�nd}d�| j j|| j| j| j�S )Nr �{} � zGCannot cast ufunc {!r} input {}from {!r} to {!r} with casting rule {!r})r r% r r+ r r( r) r' �r Zi_strr r r r! X s ��z _UFuncInputCastingError.__str__r" r r r r r* Q s r* c s( e Zd ZdZ� fdd�Zdd� Z� ZS )�_UFuncOutputCastingErrorz- Thrown when a ufunc output cannot be casted c s t � �||||� || _d S r )r r �out_ir, r r r r f s z!_UFuncOutputCastingError.__init__c C s8 | j jdkrd�| j�nd}d�| j j|| j| j| j�S )Nr r. r/ zHCannot cast ufunc {!r} output {}from {!r} to {!r} with casting rule {!r})r Znoutr r2 r r( r) r' r0 r r r r! j s ��z _UFuncOutputCastingError.__str__r" r r r r r1 c s r1 Znumpyc @ s e Zd ZdS )� TooHardErrorN)r r r r r r r r3 v s r3 c @ s& e Zd ZdZdZddd�Zdd� ZdS ) � AxisErrora� Axis supplied was invalid. This is raised whenever an ``axis`` parameter is specified that is larger than the number of array dimensions. For compatibility with code written against older numpy versions, which raised a mixture of `ValueError` and `IndexError` for this situation, this exception subclasses both to ensure that ``except ValueError`` and ``except IndexError`` statements continue to catch `AxisError`. .. versionadded:: 1.13 Parameters ---------- axis : int or str The out of bounds axis or a custom exception message. If an axis is provided, then `ndim` should be specified as well. ndim : int, optional The number of array dimensions. msg_prefix : str, optional A prefix for the exception message. Attributes ---------- axis : int, optional The out of bounds axis or ``None`` if a custom exception message was provided. This should be the axis as passed by the user, before any normalization to resolve negative indices. .. versionadded:: 1.22 ndim : int, optional The number of array dimensions or ``None`` if a custom exception message was provided. .. versionadded:: 1.22 Examples -------- >>> array_1d = np.arange(10) >>> np.cumsum(array_1d, axis=1) Traceback (most recent call last): ... numpy.AxisError: axis 1 is out of bounds for array of dimension 1 Negative axes are preserved: >>> np.cumsum(array_1d, axis=-2) Traceback (most recent call last): ... numpy.AxisError: axis -2 is out of bounds for array of dimension 1 The class constructor generally takes the axis and arrays' dimensionality as arguments: >>> print(np.AxisError(2, 1, msg_prefix='error')) error: axis 2 is out of bounds for array of dimension 1 Alternatively, a custom exception message can be passed: >>> print(np.AxisError('Custom error message')) Custom error message ��axis�ndim�_msgNc C sB || u rd u r,n n|| _ d | _d | _n|| _ || _|| _d S r )r8 r6 r7 )r r6 r7 Z msg_prefixr r r r � s zAxisError.__init__c C s\ | j }| j}|| u r d u r*n n| jS d|� d|� �}| jd urT| j� d|� �}|S d S )Nzaxis z) is out of bounds for array of dimension z: r5 )r r6 r7 �msgr r r r! � s zAxisError.__str__)NN)r r r r � __slots__r r! r r r r r4 { s @ r4 c @ s8 e Zd ZdZdd� Zedd� �Zedd� �Zdd � Z d S ) �_ArrayMemoryErrorz) Thrown when an array cannot be allocatedc C s || _ || _d S r )�shape�dtype)r r< r= r r r r � s z_ArrayMemoryError.__init__c C s | j j}| jD ] }||9 }q|S r )r= �itemsizer< )r � num_bytesZdimr r r � _total_size� s z _ArrayMemoryError._total_sizec C s� d}d}g d�}t | �� d d�| }d|| > }| | }~t|�|krX|d7 }|| }|t|�kr�t|�d }|d|| | > 9 }|}|| }|dkr�d�||�S t|�dk r�d�||�S d �||�S d S ) z5 Convert a number of bytes into a binary size string � i )�bytesZKiBZMiBZGiBZTiBZPiBZEiBr r z {:.0f} {}i� z {:#.3g} {}z {:#.0f} {}N)�max� bit_length�roundr r ) r? Z LOG2_STEPZSTEPZunitsZunit_iZunit_valZn_unitsZ new_unit_iZ unit_namer r r �_size_to_string� s( z!_ArrayMemoryError._size_to_stringc C s | � | j�}d�|| j| j�S )NzAUnable to allocate {} for an array with shape {} and data type {})rF r@ r r< r= )r Zsize_strr r r r! s ��z_ArrayMemoryError.__str__N) r r r r r �propertyr@ � staticmethodrF r! r r r r r; � s $r; N)r Znumpy.core.overridesr r r � TypeErrorr r r$ r& r* r1 � RuntimeErrorr3 � ValueError� IndexErrorr4 � MemoryErrorr; r r r r �<module> s( [
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