






import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

SCREAMING_SNAKE_CASE__      :			str							=		[
    """cross_validation.py""",
    """gradient_accumulation.py""",
    """local_sgd.py""",
    """multi_process_metrics.py""",
    """memory.py""",
    """automatic_gradient_accumulation.py""",
    """fsdp_with_peak_mem_tracking.py""",
    """deepspeed_with_config_support.py""",
    """megatron_lm_gpt_pretraining.py""",
]
class 						lowerCamelCase_				(      unittest.TestCase ):







    def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None       ,					__lowerCAmelCase = None     ):
        """simple docstring"""
        __magic_name__		:Optional[int]        =      None
        __magic_name__		:Optional[int]        =      os.path.abspath(os.path.join('''examples'''       ,					'''by_feature'''     )     )
        __magic_name__		:List[str]        =      os.path.abspath('''examples'''     )
        for item in os.listdir(__lowerCAmelCase     ):
            if item not in EXCLUDE_EXAMPLES:
                __magic_name__		:List[Any]        =      os.path.join(__lowerCAmelCase       ,					__lowerCAmelCase     )
                if os.path.isfile(__lowerCAmelCase     ) and ".py" in item_path:
                    with self.subTest(
                        tested_script=__lowerCAmelCase       ,					feature_script=__lowerCAmelCase       ,					tested_section='''main()''' if parser_only else '''training_function()'''       ,					):
                        __magic_name__		:Tuple        =      compare_against_test(
                            os.path.join(__lowerCAmelCase       ,					__lowerCAmelCase     )       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     )
                        __magic_name__		:int        =      '''\n'''.join(__lowerCAmelCase     )
                        if special_strings is not None:
                            for string in special_strings:
                                __magic_name__		:int        =      diff.replace(__lowerCAmelCase       ,					''''''     )
                        self.assertEqual(__lowerCAmelCase       ,					''''''     )







    def 			A	(						self     ):
        """simple docstring"""
        self.one_complete_example('''complete_nlp_example.py'''       ,					__lowerCAmelCase     )
        self.one_complete_example('''complete_nlp_example.py'''       ,					__lowerCAmelCase     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:str        =      os.path.abspath(os.path.join('''examples'''       ,					'''cv_example.py'''     )     )
        __magic_name__		:Union[str, Any]        =      [
            ''' ''' * 1_6 + '''{\n\n''',
            ''' ''' * 2_0 + '''"accuracy": eval_metric["accuracy"],\n\n''',
            ''' ''' * 2_0 + '''"f1": eval_metric["f1"],\n\n''',
            ''' ''' * 2_0 + '''"train_loss": total_loss.item() / len(train_dataloader),\n\n''',
            ''' ''' * 2_0 + '''"epoch": epoch,\n\n''',
            ''' ''' * 1_6 + '''},\n\n''',
            ''' ''' * 1_6 + '''step=epoch,\n''',
            ''' ''' * 1_2,
            ''' ''' * 8 + '''for step, batch in enumerate(active_dataloader):\n''',
        ]
        self.one_complete_example('''complete_cv_example.py'''       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     )
        self.one_complete_example('''complete_cv_example.py'''       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase     )







@mock.patch.dict(os.environ			,				{'''TESTING_MOCKED_DATALOADERS''': '''1'''} )
class 						lowerCamelCase_				(      lowerCamelCase ):
    a__					       =  False







    @classmethod
    def 			A	(						cls     ):
        """simple docstring"""
        super().setUpClass()
        __magic_name__		:List[str]        =      tempfile.mkdtemp()
        __magic_name__		:Dict        =      os.path.join(cls._tmpdir       ,					'''default_config.yml'''     )

        write_basic_config(save_location=cls.configPath     )
        __magic_name__		:Optional[Any]        =      ['''accelerate''', '''launch''', '''--config_file''', cls.configPath]







    @classmethod
    def 			A	(						cls     ):
        """simple docstring"""
        super().tearDownClass()
        shutil.rmtree(cls._tmpdir     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:Any        =      F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        '''.split()
        run_command(self._launch_args + testargs     )
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir       ,					'''epoch_0'''     )     )     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:str        =      F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        '''.split()
        __magic_name__		:Optional[Any]        =      run_command(self._launch_args + testargs     )
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir       ,					'''step_2'''     )     )     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:Optional[Any]        =      F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir       ,					"epoch_0"     )}
        '''.split()
        __magic_name__		:str        =      run_command(self._launch_args + testargs       ,					return_stdout=__lowerCAmelCase     )
        self.assertNotIn('''epoch 0:'''       ,					__lowerCAmelCase     )
        self.assertIn('''epoch 1:'''       ,					__lowerCAmelCase     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:Optional[int]        =      F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir       ,					"step_2"     )}
        '''.split()
        __magic_name__		:Tuple        =      run_command(self._launch_args + testargs       ,					return_stdout=__lowerCAmelCase     )
        if torch.cuda.is_available():
            __magic_name__		:List[str]        =      torch.cuda.device_count()
        else:
            __magic_name__		:Optional[int]        =      1
        if num_processes > 1:
            self.assertNotIn('''epoch 0:'''       ,					__lowerCAmelCase     )
            self.assertIn('''epoch 1:'''       ,					__lowerCAmelCase     )
        else:
            self.assertIn('''epoch 0:'''       ,					__lowerCAmelCase     )
            self.assertIn('''epoch 1:'''       ,					__lowerCAmelCase     )







    @slow
    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:Any        =      '''
        examples/by_feature/cross_validation.py
        --num_folds 2
        '''.split()
        with mock.patch.dict(os.environ       ,					{'''TESTING_MOCKED_DATALOADERS''': '''0'''}     ):
            __magic_name__		:List[Any]        =      run_command(self._launch_args + testargs       ,					return_stdout=__lowerCAmelCase     )
            __magic_name__		:Tuple        =      re.findall('''({.+})'''       ,					__lowerCAmelCase     )
            __magic_name__		:Tuple        =      [r for r in results if '''accuracy''' in r][-1]
            __magic_name__		:str        =      ast.literal_eval(__lowerCAmelCase     )
            self.assertGreaterEqual(results['''accuracy''']       ,					0.75     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:str        =      ['''examples/by_feature/multi_process_metrics.py''']
        run_command(self._launch_args + testargs     )







    @require_trackers
    @mock.patch.dict(os.environ       ,					{'''WANDB_MODE''': '''offline'''}     )
    def 			A	(						self     ):
        """simple docstring"""
        with tempfile.TemporaryDirectory() as tmpdir:
            __magic_name__		:int        =      F'''
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            '''.split()
            run_command(self._launch_args + testargs     )
            self.assertTrue(os.path.exists(os.path.join(__lowerCAmelCase       ,					'''tracking'''     )     )     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:Optional[int]        =      ['''examples/by_feature/gradient_accumulation.py''']
        run_command(self._launch_args + testargs     )







    def 			A	(						self     ):
        """simple docstring"""
        __magic_name__		:List[Any]        =      ['''examples/by_feature/local_sgd.py''']
        run_command(self._launch_args + testargs     )














from __future__ import annotations

from typing import Any
class 						lowerCamelCase_				:







				def __init__(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase       ,					__lowerCAmelCase = 0     ):
								"""simple docstring"""
								__magic_name__     ,				__magic_name__		:Any        =      row, column
								__magic_name__		:Union[str, Any]        =      [[default_value for c in range(__lowerCAmelCase     )] for r in range(__lowerCAmelCase     )]







				def __str__(						self     ):
								"""simple docstring"""
								__magic_name__		:str        =      F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

								# Make string identifier
								__magic_name__		:Dict        =      0
								for row_vector in self.array:
												for obj in row_vector:
																__magic_name__		:Dict        =      max(__lowerCAmelCase       ,					len(str(__lowerCAmelCase     )     )     )
								__magic_name__		:List[str]        =      F'''%{max_element_length}s'''

								# Make string and return
								def single_line(__lowerCAmelCase     ) -> str:
												nonlocal string_format_identifier
												__magic_name__		:int        =      '''['''
												line += ", ".join(string_format_identifier % (obj,) for obj in row_vector     )
												line += "]"
												return line

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







				def __repr__(						self     ):
								"""simple docstring"""
								return str(self     )







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







				def __getitem__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert self.validate_indicies(__lowerCAmelCase     )
								return self.array[loc[0]][loc[1]]







				def __setitem__(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert self.validate_indicies(__lowerCAmelCase     )
								__magic_name__		:List[Any]        =      value







				def __add__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     )
								assert self.row == another.row and self.column == another.column

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







				def __neg__(						self     ):
								"""simple docstring"""
								__magic_name__		:Dict        =      Matrix(self.row       ,					self.column     )
								for r in range(self.row     ):
												for c in range(self.column     ):
																__magic_name__		:Any        =      -self[r, c]
								return result







				def __sub__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self + (-another)







				def __mul__(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""

								if isinstance(__lowerCAmelCase       ,					(int, float)     ):  # Scalar multiplication
												__magic_name__		:List[str]        =      Matrix(self.row       ,					self.column     )
												for r in range(self.row     ):
																for c in range(self.column     ):
																				__magic_name__		:Tuple        =      self[r, c] * another
												return result
								elif isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     ):  # Matrix multiplication
												assert self.column == another.row
												__magic_name__		:List[Any]        =      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:
												__magic_name__		:List[str]        =      F'''Unsupported type given for another ({type(__lowerCAmelCase     )})'''
												raise TypeError(__lowerCAmelCase     )







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:int        =      Matrix(self.column       ,					self.row     )
								for r in range(self.row     ):
												for c in range(self.column     ):
																__magic_name__		:List[str]        =      self[r, c]
								return result







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								assert isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     ) and isinstance(__lowerCAmelCase       ,					__lowerCAmelCase     )
								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
								__magic_name__		:int        =      v.transpose()
								__magic_name__		:str        =      (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      __lowercase					( ):







									"""simple docstring"""






									__magic_name__		:Optional[int]        =      Matrix(3,  3,  0 )
									for i in range(3 ):
													__magic_name__		:Tuple        =      1
									print(f'''a^(-1) is {ainv}''' )
									# u, v
									__magic_name__		:Optional[int]        =      Matrix(3,  1,  0 )
									__magic_name__     ,				__magic_name__     ,				__magic_name__		:Optional[int]        =      1, 2, -3
									__magic_name__		:int        =      Matrix(3,  1,  0 )
									__magic_name__     ,				__magic_name__     ,				__magic_name__		:str        =      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(snake_case,  snake_case )}''' )

					def      __lowercase					( ):







									"""simple docstring"""






									import doctest

									doctest.testmod()

					testa()






