



import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
	from cookiecutter.main import cookiecutter

	__snake_case		:str   	=  True
except ImportError:
	__snake_case		:str   	=  False

__snake_case		:int   	=  logging.get_logger(__name__)  # pylint: disable=invalid-name





def   __snake_case			(    _UpperCAmelCase       ):
				return AddNewModelCommand(args.testing     ,				args.testing_file     ,				path=args.path       )

class 					_A (			__UpperCAmelCase					):



							@staticmethod
							def 	_lowerCamelCase    (	__SCREAMING_SNAKE_CASE							:  ArgumentParser):


											'''simple docstring'''

											__a		 =       parser.add_parser('''add-new-model''')
											add_new_model_parser.add_argument('''--testing'''  ,	action='''store_true'''  ,	help='''If in testing mode.''')
											add_new_model_parser.add_argument('''--testing_file'''  ,	type=__SCREAMING_SNAKE_CASE  ,	help='''Configuration file on which to run.''')
											add_new_model_parser.add_argument(
											    '''--path'''  ,	type=__SCREAMING_SNAKE_CASE  ,	help='''Path to cookiecutter. Should only be used for testing purposes.''')
											add_new_model_parser.set_defaults(func=__SCREAMING_SNAKE_CASE)



							def __init__(	self							:  Any  ,	__SCREAMING_SNAKE_CASE							:  bool  ,	__SCREAMING_SNAKE_CASE							:  str  ,	__SCREAMING_SNAKE_CASE							:  int=None  ,	*__SCREAMING_SNAKE_CASE							:  List[Any]):


											'''simple docstring'''

											__a		 =       testing
											__a		 =       testing_file
											__a		 =       path





							def 	_lowerCamelCase    (	self							:  List[str]):


											'''simple docstring'''

											warnings.warn(
											    '''The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. '''
											    '''It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality '''
											    '''checks, you should use `transformers-cli add-new-model-like` instead.''')
											if not _has_cookiecutter:
															raise ImportError(
															    '''Model creation dependencies are required to use the `add_new_model` command. Install them by running '''
															    '''the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n''')
											# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
											__a		 =       [directory for directory in os.listdir() if '''cookiecutter-template-''' == directory[:22]]
											if len(__SCREAMING_SNAKE_CASE) > 0:
															raise ValueError(
															    '''Several directories starting with `cookiecutter-template-` in current working directory. '''
															    '''Please clean your directory by removing all folders starting with `cookiecutter-template-` or '''
															    '''change your working directory.''')

											__a		 =       (
											    Path(__SCREAMING_SNAKE_CASE).parent.parent.parent.parent if self._path is None else Path(self._path).parent.parent
											)
											__a		 =       path_to_transformer_root / '''templates''' / '''adding_a_new_model'''

											# Execute cookiecutter
											if not self._testing:
															cookiecutter(str(__SCREAMING_SNAKE_CASE))
											else:
															with open(self._testing_file  ,	'''r''') as configuration_file:
																			__a		 =       json.load(__SCREAMING_SNAKE_CASE)

															cookiecutter(
															    str(path_to_cookiecutter if self._path is None else self._path)  ,	no_input=__SCREAMING_SNAKE_CASE  ,	extra_context=__SCREAMING_SNAKE_CASE  ,	)

											__a		 =       [directory for directory in os.listdir() if '''cookiecutter-template-''' in directory[:22]][0]

											# Retrieve configuration
											with open(directory + '''/configuration.json'''  ,	'''r''') as configuration_file:
															__a		 =       json.load(__SCREAMING_SNAKE_CASE)

											__a		 =       configuration['''lowercase_modelname''']
											__a		 =       configuration['''generate_tensorflow_pytorch_and_flax''']
											os.remove(F'{directory}/configuration.json')

											__a		 =       '''PyTorch''' in generate_tensorflow_pytorch_and_flax
											__a		 =       '''TensorFlow''' in generate_tensorflow_pytorch_and_flax
											__a		 =       '''Flax''' in generate_tensorflow_pytorch_and_flax

											__a		 =       F'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
											os.makedirs(__SCREAMING_SNAKE_CASE  ,	exist_ok=__SCREAMING_SNAKE_CASE)
											os.makedirs(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}'  ,	exist_ok=__SCREAMING_SNAKE_CASE)

											# Tests require submodules as they have parent imports
											with open(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py'  ,	'''w'''):
															pass

											shutil.move(
											    F'{directory}/__init__.py'  ,	F'{model_dir}/__init__.py'  ,	)
											shutil.move(
											    F'{directory}/configuration_{lowercase_model_name}.py'  ,	F'{model_dir}/configuration_{lowercase_model_name}.py'  ,	)

											def remove_copy_lines(__SCREAMING_SNAKE_CASE							:  List[str]):
															with open(__SCREAMING_SNAKE_CASE  ,	'''r''') as f:
																			__a		 =       f.readlines()
															with open(__SCREAMING_SNAKE_CASE  ,	'''w''') as f:
																			for line in lines:
																							if "# Copied from transformers." not in line:
																											f.write(__SCREAMING_SNAKE_CASE)

											if output_pytorch:
															if not self._testing:
																			remove_copy_lines(F'{directory}/modeling_{lowercase_model_name}.py')

															shutil.move(
															    F'{directory}/modeling_{lowercase_model_name}.py'  ,	F'{model_dir}/modeling_{lowercase_model_name}.py'  ,	)

															shutil.move(
															    F'{directory}/test_modeling_{lowercase_model_name}.py'  ,	F'{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py'  ,	)
											else:
															os.remove(F'{directory}/modeling_{lowercase_model_name}.py')
															os.remove(F'{directory}/test_modeling_{lowercase_model_name}.py')

											if output_tensorflow:
															if not self._testing:
																			remove_copy_lines(F'{directory}/modeling_tf_{lowercase_model_name}.py')

															shutil.move(
															    F'{directory}/modeling_tf_{lowercase_model_name}.py'  ,	F'{model_dir}/modeling_tf_{lowercase_model_name}.py'  ,	)

															shutil.move(
															    F'{directory}/test_modeling_tf_{lowercase_model_name}.py'  ,	F'{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py'  ,	)
											else:
															os.remove(F'{directory}/modeling_tf_{lowercase_model_name}.py')
															os.remove(F'{directory}/test_modeling_tf_{lowercase_model_name}.py')

											if output_flax:
															if not self._testing:
																			remove_copy_lines(F'{directory}/modeling_flax_{lowercase_model_name}.py')

															shutil.move(
															    F'{directory}/modeling_flax_{lowercase_model_name}.py'  ,	F'{model_dir}/modeling_flax_{lowercase_model_name}.py'  ,	)

															shutil.move(
															    F'{directory}/test_modeling_flax_{lowercase_model_name}.py'  ,	F'{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py'  ,	)
											else:
															os.remove(F'{directory}/modeling_flax_{lowercase_model_name}.py')
															os.remove(F'{directory}/test_modeling_flax_{lowercase_model_name}.py')

											shutil.move(
											    F'{directory}/{lowercase_model_name}.md'  ,	F'{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md'  ,	)

											shutil.move(
											    F'{directory}/tokenization_{lowercase_model_name}.py'  ,	F'{model_dir}/tokenization_{lowercase_model_name}.py'  ,	)

											shutil.move(
											    F'{directory}/tokenization_fast_{lowercase_model_name}.py'  ,	F'{model_dir}/tokenization_{lowercase_model_name}_fast.py'  ,	)

											from os import fdopen, remove
											from shutil import copymode, move
											from tempfile import mkstemp

											def replace(__SCREAMING_SNAKE_CASE							:  str  ,	__SCREAMING_SNAKE_CASE							:  str  ,	__SCREAMING_SNAKE_CASE							:  List[str]):
															# Create temp file
															__a ,     __a		 =       mkstemp()
															__a		 =       False
															with fdopen(__SCREAMING_SNAKE_CASE  ,	'''w''') as new_file:
																			with open(__SCREAMING_SNAKE_CASE) as old_file:
																							for line in old_file:
																											new_file.write(__SCREAMING_SNAKE_CASE)
																											if line_to_copy_below in line:
																															__a		 =       True
																															for line_to_copy in lines_to_copy:
																																			new_file.write(__SCREAMING_SNAKE_CASE)

															if not line_found:
																			raise ValueError(F'Line {line_to_copy_below} was not found in file.')

															# Copy the file permissions from the old file to the new file
															copymode(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)
															# Remove original file
															remove(__SCREAMING_SNAKE_CASE)
															# Move new file
															move(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)

											def skip_units(__SCREAMING_SNAKE_CASE							:  Union[str, Any]):
															return (
															    ("generating PyTorch" in line and not output_pytorch)
															    or ("generating TensorFlow" in line and not output_tensorflow)
															    or ("generating Flax" in line and not output_flax)
															)

											def replace_in_files(__SCREAMING_SNAKE_CASE							:  str):
															with open(__SCREAMING_SNAKE_CASE) as datafile:
																			__a		 =       []
																			__a		 =       False
																			__a		 =       False
																			for line in datafile:
																							if "# To replace in: " in line and "##" not in line:
																											__a		 =       line.split('''"''')[1]
																											__a		 =       skip_units(__SCREAMING_SNAKE_CASE)
																							elif "# Below: " in line and "##" not in line:
																											__a		 =       line.split('''"''')[1]
																											__a		 =       skip_units(__SCREAMING_SNAKE_CASE)
																							elif "# End." in line and "##" not in line:
																											if not skip_file and not skip_snippet:
																															replace(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)

																											__a		 =       []
																							elif "# Replace with" in line and "##" not in line:
																											__a		 =       []
																							elif "##" not in line:
																											lines_to_copy.append(__SCREAMING_SNAKE_CASE)

															remove(__SCREAMING_SNAKE_CASE)

											replace_in_files(F'{directory}/to_replace_{lowercase_model_name}.py')
											os.rmdir(__SCREAMING_SNAKE_CASE)










import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__snake_case		:Tuple   	=  logging.getLogger(__name__)

if __name__ == "__main__":
 __snake_case		:Union[str, Any]   	=  argparse.ArgumentParser(
     description='''Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'''
 )
 parser.add_argument(
     '''--data_file''', type=str, default='''data/dump.bert-base-uncased.pickle''', help='''The binarized dataset.'''
 )
 parser.add_argument(
     '''--token_counts_dump''', type=str, default='''data/token_counts.bert-base-uncased.pickle''', help='''The dump file.'''
 )
 parser.add_argument('''--vocab_size''', default=3_0522, type=int)
 __snake_case		:List[str]   	=  parser.parse_args()

 logger.info(f'Loading data from {args.data_file}')
 with open(args.data_file, '''rb''') as fp:
  __snake_case		:Optional[Any]   	=  pickle.load(fp)

 logger.info('''Counting occurrences for MLM.''')
 __snake_case		:Dict   	=  Counter()
 for tk_ids in data:
  counter.update(tk_ids)
 __snake_case		:Optional[Any]   	=  [0] * args.vocab_size
 for k, v in counter.items():
  __snake_case		:Any   	=  v

 logger.info(f'Dump to {args.token_counts_dump}')
 with open(args.token_counts_dump, '''wb''') as handle:
  pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)





