# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from .attribute import is_complex  # noqa: F401
from .attribute import is_integer  # noqa: F401
from .attribute import rank  # noqa: F401
from .attribute import shape  # noqa: F401
from .attribute import real  # noqa: F401
from .attribute import imag  # noqa: F401
from .attribute import is_floating_point  # noqa: F401
from .creation import to_tensor  # noqa: F401
from .creation import diag  # noqa: F401
from .creation import diagflat  # noqa: F401
from .creation import eye  # noqa: F401
from .creation import linspace  # noqa: F401
from .creation import ones  # noqa: F401
from .creation import ones_like  # noqa: F401
from .creation import zeros  # noqa: F401
from .creation import zeros_like  # noqa: F401
from .creation import arange  # noqa: F401
from .creation import full  # noqa: F401
from .creation import full_like  # noqa: F401
from .creation import triu  # noqa: F401
from .creation import tril  # noqa: F401
from .creation import meshgrid  # noqa: F401
from .creation import empty  # noqa: F401
from .creation import empty_like  # noqa: F401
from .creation import complex  # noqa: F401
from .linalg import matmul  # noqa: F401
from .linalg import dot  # noqa: F401
from .linalg import cov  # noqa: F401
from .linalg import norm  # noqa: F401
from .linalg import cond  # noqa: F401
from .linalg import transpose  # noqa: F401
from .linalg import lstsq  # noqa: F401
from .linalg import dist  # noqa: F401
from .linalg import t  # noqa: F401
from .linalg import cross  # noqa: F401
from .linalg import cholesky  # noqa: F401
from .linalg import bmm  # noqa: F401
from .linalg import histogram  # noqa: F401
from .linalg import bincount  # noqa: F401
from .linalg import mv  # noqa: F401
from .linalg import eig  # noqa: F401
from .linalg import matrix_power  # noqa: F401
from .linalg import qr  # noqa: F401
from .linalg import eigvals  # noqa: F401
from .linalg import multi_dot  # noqa: F401
from .linalg import svd  # noqa: F401
from .linalg import eigvalsh  # noqa: F401
from .linalg import eigh  # noqa: F401
from .linalg import pinv  # noqa: F401
from .linalg import solve  # noqa: F401
from .linalg import cholesky_solve  # noqa: F401
from .linalg import lu  # noqa: F401
from .linalg import lu_unpack  # noqa: F401
from .logic import equal  # noqa: F401
from .logic import greater_equal  # noqa: F401
from .logic import greater_than  # noqa: F401
from .logic import is_empty  # noqa: F401
from .logic import less_equal  # noqa: F401
from .logic import less_than  # noqa: F401
from .logic import logical_and  # noqa: F401
from .logic import logical_not  # noqa: F401
from .logic import logical_or  # noqa: F401
from .logic import logical_xor  # noqa: F401
from .logic import bitwise_and  # noqa: F401
from .logic import bitwise_or  # noqa: F401
from .logic import bitwise_xor  # noqa: F401
from .logic import bitwise_not  # noqa: F401
from .logic import not_equal  # noqa: F401
from .logic import allclose  # noqa: F401
from .logic import isclose  # noqa: F401
from .logic import equal_all  # noqa: F401
from .logic import is_tensor  # noqa: F401
from .manipulation import cast  # noqa: F401
from .manipulation import concat  # noqa: F401
from .manipulation import expand  # noqa: F401
from .manipulation import broadcast_to  # noqa: F401
from .manipulation import broadcast_tensors  # noqa: F401
from .manipulation import expand_as  # noqa: F401
from .manipulation import tile  # noqa: F401
from .manipulation import flatten  # noqa: F401
from .manipulation import flatten_  # noqa: F401
from .manipulation import gather  # noqa: F401
from .manipulation import gather_nd  # noqa: F401
from .manipulation import reshape  # noqa: F401
from .manipulation import reshape_  # noqa: F401
from .manipulation import flip as reverse  # noqa: F401
from .manipulation import scatter  # noqa: F401
from .manipulation import scatter_  # noqa: F401
from .manipulation import scatter_nd_add  # noqa: F401
from .manipulation import scatter_nd  # noqa: F401
from .manipulation import shard_index  # noqa: F401
from .manipulation import slice  # noqa: F401
from .manipulation import split  # noqa: F401
from .manipulation import squeeze  # noqa: F401
from .manipulation import squeeze_  # noqa: F401
from .manipulation import stack  # noqa: F401
from .manipulation import strided_slice  # noqa: F401
from .manipulation import unique  # noqa: F401
from .manipulation import unique_consecutive  # noqa: F401
from .manipulation import unsqueeze  # noqa: F401
from .manipulation import unsqueeze_  # noqa: F401
from .manipulation import unstack  # noqa: F401
from .manipulation import flip  # noqa: F401
from .manipulation import rot90  # noqa: F401
from .manipulation import unbind  # noqa: F401
from .manipulation import roll  # noqa: F401
from .manipulation import chunk  # noqa: F401
from .manipulation import tensordot  # noqa: F401
from .manipulation import as_complex  # noqa: F401
from .manipulation import take_along_axis  # noqa: F401
from .manipulation import put_along_axis  # noqa: F401
from .manipulation import put_along_axis_  # noqa: F401
from .manipulation import as_real  # noqa: F401
from .manipulation import moveaxis  # noqa: F401
from .manipulation import repeat_interleave  # noqa: F401
from .math import abs  # noqa: F401
from .math import acos  # noqa: F401
from .math import asin  # noqa: F401
from .math import atan  # noqa: F401
from .math import ceil  # noqa: F401
from .math import ceil_  # noqa: F401
from .math import cos  # noqa: F401
from .math import tan  # noqa: F401
from .math import cosh  # noqa: F401
from .math import cumsum  # noqa: F401
from .math import cumprod  # noqa: F401
from .math import logit  # noqa: F401
from .math import exp  # noqa: F401
from .math import exp_  # noqa: F401
from .math import expm1  # noqa: F401
from .math import floor  # noqa: F401
from .math import floor_  # noqa: F401
from .math import increment  # noqa: F401
from .math import log  # noqa: F401
from .math import multiplex  # noqa: F401
from .math import pow  # noqa: F401
from .math import reciprocal  # noqa: F401
from .math import reciprocal_  # noqa: F401
from .math import round  # noqa: F401
from .math import round_  # noqa: F401
from .math import rsqrt  # noqa: F401
from .math import rsqrt_  # noqa: F401
from .math import scale  # noqa: F401
from .math import scale_  # noqa: F401
from .math import sign  # noqa: F401
from .math import sin  # noqa: F401
from .math import sinh  # noqa: F401
from .math import sqrt  # noqa: F401
from .math import sqrt_  # noqa: F401
from .math import square  # noqa: F401
from .math import stanh  # noqa: F401
from .math import sum  # noqa: F401
from .math import nansum  # noqa: F401
from .math import nanmean  # noqa: F401
from .math import tanh  # noqa: F401
from .math import tanh_  # noqa: F401
from .math import add_n  # noqa: F401
from .math import max  # noqa: F401
from .math import amax  # noqa: F401
from .math import maximum  # noqa: F401
from .math import min  # noqa: F401
from .math import amin  # noqa: F401
from .math import minimum  # noqa: F401
from .math import mm  # noqa: F401
from .math import divide  # noqa: F401
from .math import floor_divide  # noqa: F401
from .math import remainder  # noqa: F401
from .math import mod  # noqa: F401
from .math import floor_mod  # noqa: F401
from .math import multiply  # noqa: F401
from .math import add  # noqa: F401
from .math import add_  # noqa: F401
from .math import subtract  # noqa: F401
from .math import subtract_  # noqa: F401
from .math import atan2  # noqa: F401
from .math import logsumexp  # noqa: F401
from .math import inverse  # noqa: F401
from .math import log2  # noqa: F401
from .math import log10  # noqa: F401
from .math import log1p  # noqa: F401
from .math import erf  # noqa: F401
from .math import addmm  # noqa: F401
from .math import clip  # noqa: F401
from .math import clip_  # noqa: F401
from .math import trace  # noqa: F401
from .math import kron  # noqa: F401
from .math import isfinite  # noqa: F401
from .math import isinf  # noqa: F401
from .math import isnan  # noqa: F401
from .math import prod  # noqa: F401
from .math import all  # noqa: F401
from .math import any  # noqa: F401
from .math import broadcast_shape  # noqa: F401
from .math import conj  # noqa: F401
from .math import trunc  # noqa: F401
from .math import digamma  # noqa: F401
from .math import neg  # noqa: F401
from .math import lgamma  # noqa: F401
from .math import diagonal  # noqa: F401
from .math import acosh  # noqa: F401
from .math import asinh  # noqa: F401
from .math import atanh  # noqa: F401
from .math import lerp  # noqa: F401
from .math import lerp_  # noqa: F401
from .math import erfinv  # noqa: F401
from .math import erfinv_  # noqa: F401
from .math import rad2deg  # noqa: F401
from .math import deg2rad  # noqa: F401
from .math import gcd  # noqa: F401
from .math import lcm  # noqa: F401
from .math import diff  # noqa: F401
from .math import angle  # noqa: F401
from .math import fmax  # noqa: F401
from .math import fmin  # noqa: F401
from .math import inner  # noqa: F401
from .math import outer  # noqa: F401
from .math import frac  # noqa: F401

from .random import multinomial  # noqa: F401
from .random import standard_normal  # noqa: F401
from .random import normal  # noqa: F401
from .random import uniform  # noqa: F401
from .random import uniform_  # noqa: F401
from .random import randn  # noqa: F401
from .random import rand  # noqa: F401
from .random import randint  # noqa: F401
from .random import randint_like  # noqa: F401
from .random import randperm  # noqa: F401
from .random import poisson  # noqa: F401
from .random import exponential_  # noqa: F401
from .search import argmax  # noqa: F401
from .search import argmin  # noqa: F401
from .search import argsort  # noqa: F401
from .search import searchsorted  # noqa: F401
from .search import topk  # noqa: F401
from .search import where  # noqa: F401
from .search import index_select  # noqa: F401
from .search import nonzero  # noqa: F401
from .search import sort  # noqa: F401
from .search import index_sample  # noqa: F401
from .search import masked_select  # noqa: F401
from .search import kthvalue  # noqa: F401
from .search import mode  # noqa: F401

from .stat import mean  # noqa: F401
from .stat import std  # noqa: F401
from .stat import var  # noqa: F401
from .stat import numel  # noqa: F401
from .stat import median  # noqa: F401
from .stat import quantile  # noqa: F401
from .stat import nanquantile  # noqa: F401

from .to_string import set_printoptions  # noqa: F401

from .array import array_length  # noqa: F401
from .array import array_read  # noqa: F401
from .array import array_write  # noqa: F401
from .array import create_array  # noqa: F401

from .einsum import einsum  # noqa: F401

#this list used in math_op_patch.py for _binary_creator_
tensor_method_func  = [ #noqa
           'matmul',
           'dot',
           'cov',
           'norm',
           'cond',
           'transpose',
           'lstsq',
           'dist',
           't',
           'cross',
           'cholesky',
           'bmm',
           'histogram',
           'bincount',
           'mv',
           'matrix_power',
           'qr',
           'eigvals',
           'eigvalsh',
           'abs',
           'acos',
           'all',
           'any',
           'asin',
           'atan',
           'ceil',
           'ceil_',
           'cos',
           'cosh',
           'cumsum',
           'cumprod',
           'logit',
           'exp',
           'exp_',
           'floor',
           'floor_',
           'increment',
           'log',
           'log2',
           'log10',
           'logsumexp',
           'multiplex',
           'pow',
           'prod',
           'reciprocal',
           'reciprocal_',
           'round',
           'round_',
           'rsqrt',
           'rsqrt_',
           'scale',
           'scale_',
           'sign',
           'sin',
           'sinh',
           'sqrt',
           'sqrt_',
           'square',
           'stanh',
           'sum',
           'nansum',
           'nanmean',
           'tanh',
           'tanh_',
           'add_n',
           'max',
           'amax',
           'maximum',
           'min',
           'amin',
           'minimum',
           'fmax',
           'fmin',
           'mm',
           'inner',
           'outer',
           'divide',
           'floor_divide',
           'remainder',
           'mod',
           'floor_mod',
           'multiply',
           'add',
           'add_',
           'subtract',
           'subtract_',
           'atan',
           'logsumexp',
           'inverse',
           'log1p',
           'erf',
           'addmm',
           'clip',
           'clip_',
           'trace',
           'kron',
           'kthvalue',
           'isfinite',
           'isinf',
           'isnan',
           'broadcast_shape',
           'conj',
           'neg',
           'lgamma',
           'equal',
           'equal_all',
           'greater_equal',
           'greater_than',
           'is_empty',
           'less_equal',
           'less_than',
           'logical_and',
           'logical_not',
           'logical_or',
           'logical_xor',
           'not_equal',
           'allclose',
           'isclose',
           'is_tensor',
           'cast',
           'concat',
           'expand',
           'broadcast_to',
           'expand_as',
           'flatten',
           'flatten_',
           'gather',
           'gather_nd',
           'reshape',
           'reshape_',
           'reverse',
           'scatter',
           'scatter_',
           'scatter_nd_add',
           'scatter_nd',
           'shard_index',
           'slice',
           'split',
           'chunk',
           'tensordot',
           'squeeze',
           'squeeze_',
           'stack',
           'strided_slice',
           'transpose',
           'unique',
           'unique_consecutive',
           'unsqueeze',
           'unsqueeze_',
           'unstack',
           'flip',
           'rot90',
           'unbind',
           'roll',
           'tile',
           'argmax',
           'argmin',
           'argsort',
           'masked_select',
           'topk',
           'where',
           'index_select',
           'nonzero',
           'sort',
           'index_sample',
           'mean',
           'std',
           'var',
           'numel',
           'median',
           'quantile',
           'nanquantile',
           'is_complex',
           'is_integer',
           'rank',
           'shape',
           'real',
           'imag',
           'is_floating_point',
           'digamma',
           'diagonal',
           'trunc',
           'frac',
           'bitwise_and',
           'bitwise_or',
           'bitwise_xor',
           'bitwise_not',
           'broadcast_tensors',
           'eig',
           'uniform_',
           'multi_dot',
           'solve',
           'cholesky_solve',
           'triangular_solve',
           'asinh',
           'atanh',
           'acosh',
           'lu',
           'lu_unpack',
           'as_complex',
           'as_real',
           'rad2deg',
           'deg2rad',
           'gcd',
           'lcm',
           'diff',
           "mode",
           'lerp',
           'lerp_',
           'erfinv',
           'erfinv_',
           'angle',
           'moveaxis',
           'repeat_interleave',
           'take_along_axis',
           'put_along_axis',
           'put_along_axis_',
           'exponential_',
]

#this list used in math_op_patch.py for magic_method bind
magic_method_func = [
    ('__and__', 'bitwise_and'),
    ('__or__', 'bitwise_or'),
    ('__xor__', 'bitwise_xor'),
    ('__invert__', 'bitwise_not'),
]