
"""simple docstring"""
from functools import partial
from typing import Any, Callable, Dict, List, Type, TypeVar, Union, overload

import torch
import torch.nn as nn
import torch.types

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						# The first operation in a checkpoint can't be in-place, but it's
						# nice to have in-place addition during inference. Thus...
						if not inplace:
												__lowerCAmelCase        =       ma + ma
						else:
												ma += ma

						return ma

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       -1 * len(_lowerCAmelCase		)
						__lowerCAmelCase        =       list(range(len(tensor.shape[:zero_index]		)		)		)
						return tensor.permute(first_inds + [zero_index + i for i in inds]		)

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						return t.reshape(t.shape[:-no_dims] + (-1,)		)

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase = 1E-4		):
						__lowerCAmelCase        =       mask.expand(*value.shape		)
						return torch.sum(mask * value				,  dim=_lowerCAmelCase		) / (eps + torch.sum(_lowerCAmelCase				,  dim=_lowerCAmelCase		))

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase = 2.3_125				,  _lowerCAmelCase = 21.6_875				,  _lowerCAmelCase = 64		):
						__lowerCAmelCase        =       torch.linspace(_lowerCAmelCase				,  _lowerCAmelCase				,  no_bins - 1				,  device=pts.device		)
						__lowerCAmelCase        =       torch.sqrt(torch.sum((pts.unsqueeze(-2		) - pts.unsqueeze(-3		)) ** 2				,  dim=-1		)		)
						return torch.bucketize(_lowerCAmelCase				,  _lowerCAmelCase		)

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       dicts[0]
						__lowerCAmelCase        =       {}
						for k, v in first.items():
												__lowerCAmelCase        =       [d[k] for d in dicts]
												if isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
																		__lowerCAmelCase        =       dict_multimap(_lowerCAmelCase				,  _lowerCAmelCase		)
												else:
																		__lowerCAmelCase        =       fn(_lowerCAmelCase		)

						return new_dict

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       v_bins.view(((1,) * len(x.shape		)) + (len(_lowerCAmelCase		),)		)
						__lowerCAmelCase        =       x[..., None] - reshaped_bins
						__lowerCAmelCase        =       torch.argmin(torch.abs(_lowerCAmelCase		)				,  dim=-1		)
						return nn.functional.one_hot(_lowerCAmelCase				,  num_classes=len(_lowerCAmelCase		)		).float()

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase = 0				,  _lowerCAmelCase = 0		):
						__lowerCAmelCase        =       []
						for i, s in enumerate(data.shape[:no_batch_dims]		):
												__lowerCAmelCase        =       torch.arange(_lowerCAmelCase		)
												__lowerCAmelCase        =       r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape		) - i - 1)))		)
												ranges.append(_lowerCAmelCase		)

						__lowerCAmelCase        =       [slice(_lowerCAmelCase		) for _ in range(len(data.shape		) - no_batch_dims		)]
						__lowerCAmelCase        =       inds
						ranges.extend(_lowerCAmelCase		)
						# Matt note: Editing this to get around the behaviour of using a list as an array index changing
						# in recent Numpy versions
						return data[tuple(_lowerCAmelCase		)]


SCREAMING_SNAKE_CASE_			      =					TypeVar('''T''')

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       {}
						for k, v in dic.items():
												if isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
																		__lowerCAmelCase        =       dict_map(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)
												else:
																		__lowerCAmelCase        =       tree_map(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)

						return new_dict

@overload
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						...

@overload
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						...

@overload
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						...

@overload
def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						...

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						if isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
												return dict_map(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		)
						elif isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
												return [tree_map(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		) for x in tree]
						elif isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
												return tuple(tree_map(_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		) for x in tree		)
						elif isinstance(_lowerCAmelCase				,  _lowerCAmelCase		):
												return fn(_lowerCAmelCase		)
						else:
												print(type(_lowerCAmelCase		)		)
												raise ValueError("""Not supported"""		)



SCREAMING_SNAKE_CASE_			      =					partial(tree_map, leaf_type=torch.Tensor)


"""simple docstring"""
import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
			import torch
class      lowerCAmelCase_						(							unittest.TestCase							,							A__				):



							'''simple docstring'''





							def  A__		(				self							)   ->       Any:
													__lowerCAmelCase        =       load_tool("""speech-to-text"""							)
													self.tool.setup()




							def  A__		(				self							)   ->       int:
													__lowerCAmelCase        =       self.tool(torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)




							def  A__		(				self							)   ->       Optional[int]:
													__lowerCAmelCase        =       self.tool(audio=torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)
