o i!@sdZddlmZddZddZGdddeZeGd d d eZeGd d d eZeGd ddeZ eGddde Z eGddde Z edGddde Z edGdddeeZeGdddeZdS)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_modulecCst|dkr |dS|S)Nr)len)tuprQ/var/www/edux/Edux_v2/venv/lib/python3.10/site-packages/numpy/core/_exceptions.py _unpack_tuple s rcCst|tsJ|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__)clsrrr_display_as_bases rc@seZdZdZddZdS)UFuncTypeErrorz% Base class for all ufunc exceptions cCs ||_dSN)ufunc)selfrrrr__init__"s zUFuncTypeError.__init__N)r __module__ __qualname____doc__rrrrrr s rc(eZdZdZfddZddZZS)_UFuncBinaryResolutionErrorz' Thrown when a binary resolution fails cs,t|t||_t|jdksJdS)N)superrtupledtypesrrrr __class__rrr)s  z$_UFuncBinaryResolutionError.__init__cCsdj|jjg|jRS)Nz7ufunc {!r} cannot use operands with types {!r} and {!r})formatrr rrrrr__str__.s z#_UFuncBinaryResolutionError.__str__r rrrrr" __classcell__rrrrr&s rcr)_UFuncNoLoopErrorz* Thrown when a ufunc loop cannot be found cst|t||_dSr)rrrrrrrrr9s z_UFuncNoLoopError.__init__cCs6d|jjt|jd|jjt|j|jjdS)NzLufunc {!r} did not contain a loop with signature matching types {!r} -> {!r})r rr rrninr!rrrr"=sz_UFuncNoLoopError.__str__r#rrrrr%6 r%cseZdZfddZZS)_UFuncCastingErrorcs"t|||_||_||_dSr)rrcastingfrom_to)rrr)r*r+rrrrJs  z_UFuncCastingError.__init__)r rrrr$rrrrr(Hsr(cr)_UFuncInputCastingErrorz, Thrown when a ufunc input cannot be casted ct||||||_dSr)rrin_irrr)r*r+irrrrT z _UFuncInputCastingError.__init__cC8|jjdkr d|jnd}d|jj||j|j|jS)Nr{} zGCannot cast ufunc {!r} input {}from {!r} to {!r} with casting rule {!r})rr&r r.r r*r+r)ri_strrrrr"X z_UFuncInputCastingError.__str__r#rrrrr,Qr'r,cr)_UFuncOutputCastingErrorz- Thrown when a ufunc output cannot be casted cr-r)rrout_ir/rrrrfr1z!_UFuncOutputCastingError.__init__cCr2)Nrr3r4zHCannot cast ufunc {!r} output {}from {!r} to {!r} with casting rule {!r})rnoutr r9r r*r+r)r5rrrr"jr7z _UFuncOutputCastingError.__str__r#rrrrr8cr'r8numpyc@seZdZdZdS) TooHardErrorzmax_work was exceeded. This is raised whenever the maximum number of candidate solutions to consider specified by the ``max_work`` parameter is exceeded. Assigning a finite number to max_work may have caused the operation to fail. N)r rrrrrrrr<vs r<c@s&eZdZdZdZdddZddZdS) AxisErroraAxis 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 axisndim_msgNcCsD||ur durnn ||_d|_d|_dS||_||_||_dSr)rAr?r@)rr?r@ msg_prefixrrrrs  zAxisError.__init__cCsT|j}|j}||urdur|jSd|d|}|jdur(|jd|}|S)Nzaxis z) is out of bounds for array of dimension z: r>)rr?r@msgrrrr"s zAxisError.__str__)NN)r rrr __slots__rr"rrrrr=s @  r=c@s8eZdZdZddZeddZeddZdd Z d S) _ArrayMemoryErrorz) Thrown when an array cannot be allocatedcCs||_||_dSr)shapedtype)rrFrGrrrrs z_ArrayMemoryError.__init__cCs |jj}|jD]}||9}q|Sr)rGitemsizerF)r num_bytesdimrrr _total_sizes  z_ArrayMemoryError._total_sizec Csd}d}gd}t|dd|}d||>}||}~t||kr,|d7}||}|t|krDt|d}|d|||>9}|}||}|dkrRd||St|dkr^d||Sd ||S) z5 Convert a number of bytes into a binary size string i)bytesKiBMiBGiBTiBPiBEiBrrz {:.0f} {}iz {:#.3g} {}z {:#.0f} {})max bit_lengthroundrr ) rI LOG2_STEPSTEPunitsunit_iunit_valn_units new_unit_i unit_namerrr_size_to_strings(        z!_ArrayMemoryError._size_to_stringcCs||j}d||j|jS)NzAUnable to allocate {} for an array with shape {} and data type {})r_rKr rFrG)rsize_strrrrr"s z_ArrayMemoryError.__str__N) r rrrrpropertyrK staticmethodr_r"rrrrrEs   $rEN)rnumpy.core.overridesrrr TypeErrorrrr%r(r,r8 RuntimeErrorr< ValueError IndexErrorr= MemoryErrorrErrrrs*  [