


"""simple docstring"""
from __future__ import annotations

from typing import Any





class      __A     :





							'''simple docstring'''

							def __init__(				self							:      Tuple		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      float = 0       )					->None:



														"""simple docstring"""



														snake_case_       ,						snake_case_           =		row, column
														snake_case_           =		[[default_value for c in range(UpperCAmelCase_       )] for r in range(UpperCAmelCase_       )]



							def __str__(				self							:      Optional[int]       )					->str:



														"""simple docstring"""



														snake_case_           =		F"""Matrix consist of {self.row} rows and {self.column} columns\n"""

														# Make string identifier
														snake_case_           =		0
														for row_vector in self.array:
																					for obj in row_vector:
																												snake_case_           =		max(UpperCAmelCase_		,       len(str(UpperCAmelCase_       )       )       )
														snake_case_           =		F"""%{max_element_length}s"""

														# Make string and return
														def single_line(UpperCAmelCase_							:      list[float]       ) -> str:
																					nonlocal string_format_identifier
																					snake_case_           =		"""["""
																					line += ", ".join(string_format_identifier % (obj,) for obj in row_vector       )
																					line += "]"
																					return line

														s += "\n".join(single_line(UpperCAmelCase_       ) for row_vector in self.array       )
														return s



							def __repr__(				self							:      Tuple       )					->str:



														"""simple docstring"""



														return str(self       )



							def 		lowerCAmelCase       (				self							:      List[str]		,       UpperCAmelCase_							:      tuple[int, int]       )					->bool:



														"""simple docstring"""



														if not (isinstance(UpperCAmelCase_		,       (list, tuple)       ) and len(UpperCAmelCase_       ) == 2):
																					return False
														elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
																					return False
														else:
																					return True



							def __getitem__(				self							:      Union[str, Any]		,       UpperCAmelCase_							:      tuple[int, int]       )					->Any:



														"""simple docstring"""



														assert self.validate_indicies(UpperCAmelCase_       )
														return self.array[loc[0]][loc[1]]



							def __setitem__(				self							:      Dict		,       UpperCAmelCase_							:      tuple[int, int]		,       UpperCAmelCase_							:      float       )					->None:



														"""simple docstring"""



														assert self.validate_indicies(UpperCAmelCase_       )
														snake_case_           =		value



							def __add__(				self							:      Optional[int]		,       UpperCAmelCase_							:      Matrix       )					->Matrix:



														"""simple docstring"""



														assert isinstance(UpperCAmelCase_		,       UpperCAmelCase_       )
														assert self.row == another.row and self.column == another.column

														# Add
														snake_case_           =		Matrix(self.row		,       self.column       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		self[r, c] + another[r, c]
														return result



							def __neg__(				self							:      int       )					->Matrix:



														"""simple docstring"""



														snake_case_           =		Matrix(self.row		,       self.column       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		-self[r, c]
														return result



							def __sub__(				self							:      Optional[Any]		,       UpperCAmelCase_							:      Matrix       )					->Matrix:



														"""simple docstring"""



														return self + (-another)



							def __mul__(				self							:      List[str]		,       UpperCAmelCase_							:      int | float | Matrix       )					->Matrix:



														"""simple docstring"""



														if isinstance(UpperCAmelCase_		,       (int, float)       ):  # Scalar multiplication
																					snake_case_           =		Matrix(self.row		,       self.column       )
																					for r in range(self.row       ):
																												for c in range(self.column       ):
																																			snake_case_           =		self[r, c] * another
																					return result
														elif isinstance(UpperCAmelCase_		,       UpperCAmelCase_       ):  # Matrix multiplication
																					assert self.column == another.row
																					snake_case_           =		Matrix(self.row		,       another.column       )
																					for r in range(self.row       ):
																												for c in range(another.column       ):
																																			for i in range(self.column       ):
																																										result[r, c] += self[r, i] * another[i, c]
																					return result
														else:
																					snake_case_           =		F"""Unsupported type given for another ({type(UpperCAmelCase_       )})"""
																					raise TypeError(UpperCAmelCase_       )



							def 		lowerCAmelCase       (				self							:      Optional[int]       )					->Matrix:



														"""simple docstring"""



														snake_case_           =		Matrix(self.column		,       self.row       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		self[r, c]
														return result



							def 		lowerCAmelCase       (				self							:      str		,       UpperCAmelCase_							:      Matrix		,       UpperCAmelCase_							:      Matrix       )					->Any:



														"""simple docstring"""



														assert isinstance(UpperCAmelCase_		,       UpperCAmelCase_       ) and isinstance(UpperCAmelCase_		,       UpperCAmelCase_       )
														assert self.row == self.column == u.row == v.row  # u, v should be column vector
														assert u.column == v.column == 1  # u, v should be column vector

														# Calculate
														snake_case_           =		v.transpose()
														snake_case_           =		(v_t * self * u)[0, 0] + 1
														if numerator_factor == 0:
																					return None  # It's not invertable
														return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":







				def 						_a				(      )    ->				None:
											# a^(-1)
											snake_case_           =		Matrix(3				, 3				, 0				)
											for i in range(3				):
																		snake_case_           =		1
											print(f"""a^(-1) is {ainv}"""				)
											# u, v
											snake_case_           =		Matrix(3				, 1				, 0				)
											snake_case_       ,						snake_case_       ,						snake_case_           =		1, 2, -3
											snake_case_           =		Matrix(3				, 1				, 0				)
											snake_case_       ,						snake_case_       ,						snake_case_           =		4, -2, 5
											print(f"""u is {u}"""				)
											print(f"""v is {v}"""				)
											print(f"""uv^T is {u * v.transpose()}"""				)
											# Sherman Morrison
											print(f"""(a + uv^T)^(-1) is {ainv.sherman_morrison(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				)}"""				)







				def 						_a				(      )    ->				None:
											import doctest

											doctest.testmod()





				testa()







"""simple docstring"""
# XXX: we want transformers master here - in the absense of conftest manipulating sys.path:
# hack it in for now:
import sys
from pathlib import Path


__SCREAMING_SNAKE_CASE							:    Union[str, Any]		=    Path(__file__).resolve().parents[3] / 'src'
sys.path.insert(1, str(git_repo_path))

import dataclasses  # noqa
import io  # noqa
import itertools  # noqa
import json  # noqa
import os  # noqa
import unittest  # noqa
from copy import deepcopy  # noqa

from parameterized import parameterized  # noqa
from transformers import TrainingArguments, is_torch_available  # noqa
from transformers.deepspeed import is_deepspeed_available  # noqa
from transformers.file_utils import WEIGHTS_NAME  # noqa
from transformers.testing_utils import (  # noqa
    CaptureLogger,
    ExtendSysPath,
    TestCasePlus,
    execute_subprocess_async,
    get_gpu_count,
    mockenv_context,
    require_deepspeed,
    require_torch_gpu,
    require_torch_multi_gpu,
    slow,
)
from transformers.trainer_utils import set_seed  # noqa


set_seed(42)

__SCREAMING_SNAKE_CASE							:    Dict		=    {'base': 'patrickvonplaten/wav2vec2_tiny_random', 'robust': 'patrickvonplaten/wav2vec2_tiny_random_robust'}

__SCREAMING_SNAKE_CASE							:    Dict		=    'zero2'
__SCREAMING_SNAKE_CASE							:    List[Any]		=    'zero3'
__SCREAMING_SNAKE_CASE							:    int		=    [ZEROa, ZEROa]







def 						_a				(      _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				)    ->				Union[str, Any]:
							# customize the test name generator function as we want both params to appear in the sub-test
							# name, as by default it shows only the first param
							snake_case_           =		parameterized.to_safe_name("""_""".join(str(_SCREAMING_SNAKE_CASE				) for x in param.args				)				)
							return f"""{func.__name__}_{param_based_name}"""


# Cartesian-product of zero stages with models to test
__SCREAMING_SNAKE_CASE							:    Dict		=    list(itertools.product(stages, models.keys()))





@slow
@require_deepspeed
@require_torch_gpu
class      __A     (snake_case__):





							'''simple docstring'''

							@parameterized.expand(UpperCAmelCase_		,       name_func=UpperCAmelCase_       )
							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      Dict		,       UpperCAmelCase_							:      Union[str, Any]       )					->Any:



														"""simple docstring"""



														self.run_and_check(
														    stage=UpperCAmelCase_		,       model=UpperCAmelCase_		,       distributed=UpperCAmelCase_		,       fpaa=UpperCAmelCase_		,       )



							@require_torch_multi_gpu
							@parameterized.expand(UpperCAmelCase_		,       name_func=UpperCAmelCase_       )
							def 		lowerCAmelCase       (				self							:      Optional[int]		,       UpperCAmelCase_							:      List[Any]		,       UpperCAmelCase_							:      Optional[Any]       )					->Optional[Any]:



														"""simple docstring"""



														self.run_and_check(
														    stage=UpperCAmelCase_		,       model=UpperCAmelCase_		,       distributed=UpperCAmelCase_		,       fpaa=UpperCAmelCase_		,       )



							@parameterized.expand(UpperCAmelCase_		,       name_func=UpperCAmelCase_       )
							def 		lowerCAmelCase       (				self							:      Tuple		,       UpperCAmelCase_							:      Dict		,       UpperCAmelCase_							:      Optional[int]       )					->List[str]:



														"""simple docstring"""



														self.run_and_check(
														    stage=UpperCAmelCase_		,       model=UpperCAmelCase_		,       distributed=UpperCAmelCase_		,       fpaa=UpperCAmelCase_		,       )



							@require_torch_multi_gpu
							@parameterized.expand(UpperCAmelCase_		,       name_func=UpperCAmelCase_       )
							def 		lowerCAmelCase       (				self							:      Dict		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      List[Any]       )					->Optional[int]:



														"""simple docstring"""



														self.run_and_check(
														    stage=UpperCAmelCase_		,       model=UpperCAmelCase_		,       distributed=UpperCAmelCase_		,       fpaa=UpperCAmelCase_		,       )



							def 		lowerCAmelCase       (				self							:      Optional[int]		,       UpperCAmelCase_							:      Union[str, Any]       )					->Optional[int]:



														"""simple docstring"""



														pass



							def 		lowerCAmelCase       (				self							:      Any		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      int = 10		,       UpperCAmelCase_							:      bool = True		,       UpperCAmelCase_							:      bool = True		,       UpperCAmelCase_							:      bool = True		,       )					->List[str]:



														"""simple docstring"""



														snake_case_           =		models[model]

														snake_case_           =		self.run_trainer(
														    stage=UpperCAmelCase_		,       model_name=UpperCAmelCase_		,       eval_steps=UpperCAmelCase_		,       num_train_epochs=1		,       distributed=UpperCAmelCase_		,       fpaa=UpperCAmelCase_		,       )

														self.do_checks(UpperCAmelCase_       )

														return output_dir



							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      int = 10		,       UpperCAmelCase_							:      int = 1		,       UpperCAmelCase_							:      bool = True		,       UpperCAmelCase_							:      bool = True		,       )					->List[str]:



														"""simple docstring"""



														snake_case_           =		self.get_auto_remove_tmp_dir("""./xxx"""		,       after=UpperCAmelCase_       )
														snake_case_           =		F"""
            --model_name_or_path {model_name}
            --dataset_name hf-internal-testing/librispeech_asr_dummy
            --dataset_config_name clean
            --train_split_name validation
            --validation_split_name validation
            --output_dir {output_dir}
            --num_train_epochs {str(UpperCAmelCase_       )}
            --per_device_train_batch_size 2
            --per_device_eval_batch_size 2
            --evaluation_strategy steps
            --learning_rate 5e-4
            --warmup_steps 8
            --orthography timit
            --preprocessing_num_workers 1
            --group_by_length
            --freeze_feature_extractor
            --report_to none
            --save_steps 0
            --eval_steps {eval_steps}
            --report_to none
        """.split()

														if fpaa:
																					args.extend(["""--fp16"""]       )

														# currently ds_config_wav2vec2_zero.json requires "zero_optimization.find_unused_parameters": true,
														# hence the separate config files
														snake_case_           =		F"""--deepspeed {self.test_file_dir_str}/ds_config_wav2vec2_{stage}.json""".split()
														snake_case_           =		[F"""{self.examples_dir_str}/research_projects/wav2vec2/run_asr.py"""]
														snake_case_           =		self.get_launcher(UpperCAmelCase_       )

														snake_case_           =		launcher + script + args + ds_args
														# keep for quick debug
														# print(" ".join([f"\nPYTHONPATH={self.src_dir_str}"] +cmd)); die
														execute_subprocess_async(UpperCAmelCase_		,       env=self.get_env()       )

														return output_dir



							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      Any=False       )					->Tuple:



														"""simple docstring"""



														snake_case_           =		min(2		,       get_gpu_count()       ) if distributed else 1
														return F"""deepspeed --num_nodes 1 --num_gpus {num_gpus}""".split()



