


import argparse
import re
from typing import Dict

import torch
from datasets import Audio, Dataset, load_dataset, load_metric

from transformers import AutoFeatureExtractor, pipeline






def 							__lowercase       (			__lowerCAmelCase							:    Dataset ,   __lowerCAmelCase							:    Dict[str, str]       ):
							a__					=					args.log_outputs
							a__					=					'_'.join(args.dataset.split('/'       ) + [args.config, args.split]       )

							# load metric
							a__					=					load_metric('wer'       )
							a__					=					load_metric('cer'       )

							# compute metrics
							a__					=					wer.compute(references=result['target'] ,   predictions=result['prediction']       )
							a__					=					cer.compute(references=result['target'] ,   predictions=result['prediction']       )

							# print & log results
							a__					=					F'WER: {wer_result}\nCER: {cer_result}'
							print(__lowerCAmelCase       )

							with open(F'{dataset_id}_eval_results.txt' ,   'w'       ) as f:
														f.write(__lowerCAmelCase       )

							# log all results in text file. Possibly interesting for analysis
							if log_outputs is not None:
														a__					=					F'log_{dataset_id}_predictions.txt'
														a__					=					F'log_{dataset_id}_targets.txt'

														with open(__lowerCAmelCase ,   'w'       ) as p, open(__lowerCAmelCase ,   'w'       ) as t:
																					# mapping function to write output
																					def write_to_file(__lowerCAmelCase							:    Optional[int] ,   __lowerCAmelCase							:    Any       ):
																												p.write(F'{i}' + '\n'       )
																												p.write(batch['prediction'] + '\n'       )
																												t.write(F'{i}' + '\n'       )
																												t.write(batch['target'] + '\n'       )

																					result.map(__lowerCAmelCase ,   with_indices=__lowerCAmelCase       )






def 							__lowercase       (			__lowerCAmelCase							:    str       ):
							a__					=					'[,?.!\-\;\:"“%‘”�—’…–]'  # noqa: W605 IMPORTANT: this should correspond to the chars that were ignored during training

							a__					=					re.sub(__lowerCAmelCase ,   '' ,   text.lower()       )

							# In addition, we can normalize the target text, e.g. removing new lines characters etc...
							# note that order is important here!
							a__					=					['\n\n', '\n', '   ', '  ']

							for t in token_sequences_to_ignore:
														a__					=					' '.join(text.split(__lowerCAmelCase       )       )

							return text






def 							__lowercase       (			__lowerCAmelCase							:    Optional[Any]       ):
							# load dataset
							a__					=					load_dataset(args.dataset ,   args.config ,   split=args.split ,   use_auth_token=__lowerCAmelCase       )

							# for testing: only process the first two examples as a test
							# dataset = dataset.select(range(10))

							# load processor
							a__					=					AutoFeatureExtractor.from_pretrained(args.model_id       )
							a__					=					feature_extractor.sampling_rate

							# resample audio
							a__					=					dataset.cast_column('audio' ,   Audio(sampling_rate=__lowerCAmelCase       )       )

							# load eval pipeline
							if args.device is None:
														a__					=					0 if torch.cuda.is_available() else -1
							a__					=					pipeline('automatic-speech-recognition' ,   model=args.model_id ,   device=args.device       )

							# map function to decode audio
							def map_to_pred(__lowerCAmelCase							:    Optional[int]       ):
														a__					=					asr(
														    batch['audio']['array'] ,   chunk_length_s=args.chunk_length_s ,   stride_length_s=args.stride_length_s       )

														a__					=					prediction['text']
														a__					=					normalize_text(batch['sentence']       )
														return batch

							# run inference on all examples
							a__					=					dataset.map(__lowerCAmelCase ,   remove_columns=dataset.column_names       )

							# compute and log_results
							# do not change function below
							log_results(__lowerCAmelCase ,   __lowerCAmelCase       )


if __name__ == "__main__":
						snake_case							:	Optional[int]					      =				argparse.ArgumentParser()

						parser.add_argument(
						    '''--model_id''', type=str, required=True, help='''Model identifier. Should be loadable with 🤗 Transformers'''
						)
						parser.add_argument(
						    '''--dataset''',
						    type=str,
						    required=True,
						    help='''Dataset name to evaluate the `model_id`. Should be loadable with 🤗 Datasets''',
						)
						parser.add_argument(
						    '''--config''', type=str, required=True, help='''Config of the dataset. *E.g.* `\'en\'`  for Common Voice'''
						)
						parser.add_argument('''--split''', type=str, required=True, help='''Split of the dataset. *E.g.* `\'test\'`''')
						parser.add_argument(
						    '''--chunk_length_s''', type=float, default=None, help='''Chunk length in seconds. Defaults to 5 seconds.'''
						)
						parser.add_argument(
						    '''--stride_length_s''', type=float, default=None, help='''Stride of the audio chunks. Defaults to 1 second.'''
						)
						parser.add_argument(
						    '''--log_outputs''', action='''store_true''', help='''If defined, write outputs to log file for analysis.'''
						)
						parser.add_argument(
						    '''--device''',
						    type=int,
						    default=None,
						    help='''The device to run the pipeline on. -1 for CPU (default), 0 for the first GPU and so on.''',
						)
						snake_case							:	Any					      =				parser.parse_args()

						main(args)








import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command







class 	snake_case_       (unittest.TestCase				):
					UpperCAmelCase__ :   Optional[Any]   				=      inspect.getfile(accelerate.test_utils				)
					UpperCAmelCase__ :   Tuple   				=      os.path.sep.join(mod_file.split(os.path.sep				)[:-1] + ['''scripts''', '''test_cli.py''']				)

					UpperCAmelCase__ :   Optional[int]   				=      ['''accelerate''', '''launch''']
					UpperCAmelCase__ :   List[str]   				=      Path.home() / '''.cache/huggingface/accelerate'''
					UpperCAmelCase__ :   Union[str, Any]   				=      '''default_config.yaml'''
					UpperCAmelCase__ :   List[Any]   				=      config_folder / config_file
					UpperCAmelCase__ :   Optional[int]   				=      config_folder / '''_default_config.yaml'''

					UpperCAmelCase__ :   int   				=      Path('''tests/test_configs'''				)
					@classmethod
					def 			lowerCamelCase__(				cls       :Any				) ->   int:
												if cls.config_path.is_file():
																			cls.config_path.rename(cls.changed_path				)
					@classmethod
					def 			lowerCamelCase__(				cls       :Dict				) ->   Union[str, Any]:
												if cls.changed_path.is_file():
																			cls.changed_path.rename(cls.config_path				)
					def 			lowerCamelCase__(				self       :Any				) ->   Optional[int]:
												a__					=					self.base_cmd
												if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
																			cmd += ["--multi_gpu"]
												execute_subprocess_async(cmd + [self.test_file_path]      ,env=os.environ.copy()				)
					def 			lowerCamelCase__(				self       :str				) ->   List[Any]:
												for config in sorted(self.test_config_path.glob('**/*.yaml'				)				):
																			with self.subTest(config_file=__snake_case				):
																										execute_subprocess_async(
																										    self.base_cmd + ['--config_file', str(__snake_case				), self.test_file_path]      ,env=os.environ.copy()				)



					def 			lowerCamelCase__(				self       :int				) ->   List[str]:
												execute_subprocess_async(['accelerate', 'test']      ,env=os.environ.copy()				)







class 	snake_case_       (unittest.TestCase				):
					UpperCAmelCase__ :   List[Any]   				=      '''test-tpu'''
					UpperCAmelCase__ :   str   				=      '''us-central1-a'''
					UpperCAmelCase__ :   Optional[Any]   				=      '''ls'''
					UpperCAmelCase__ :   Optional[int]   				=      ['''accelerate''', '''tpu-config''']
					UpperCAmelCase__ :   Any   				=      '''cd /usr/share'''
					UpperCAmelCase__ :   Tuple   				=      '''tests/test_samples/test_command_file.sh'''
					UpperCAmelCase__ :   List[Any]   				=      '''Running gcloud compute tpus tpu-vm ssh'''
					def 			lowerCamelCase__(				self       :Optional[Any]				) ->   Tuple:
												a__					=					run_command(
												    self.cmd
												    + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :int				) ->   str:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/0_12_0.yaml',
												        '--command',
												        self.command,
												        '--tpu_zone',
												        self.tpu_zone,
												        '--tpu_name',
												        self.tpu_name,
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Any				) ->   Dict:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']      ,return_stdout=__snake_case				)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Tuple				) ->   str:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Dict				) ->   int:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/latest.yaml',
												        '--command',
												        self.command,
												        '--command',
												        'echo "Hello World"',
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo "Hello World" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   List[Any]:
												a__					=					run_command(
												    self.cmd
												    + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :int				) ->   int:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/0_12_0.yaml',
												        '--command_file',
												        self.command_file,
												        '--tpu_zone',
												        self.tpu_zone,
												        '--tpu_name',
												        self.tpu_name,
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   List[Any]:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)



					def 			lowerCamelCase__(				self       :Any				) ->   Optional[int]:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/latest.yaml',
												        '--install_accelerate',
												        '--accelerate_version',
												        '12.0.0',
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)




