



'''simple docstring'''




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

						lowerCamelCase							:List[str]       = True
except ImportError:
						lowerCamelCase							:Optional[int]       = False

lowerCamelCase							:Any       = logging.get_logger(__name__)  # pylint: disable=invalid-name



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return AddNewModelCommand(args.testing						,				args.testing_file						,				path=args.path   )







class      _lowerCAmelCase							(      __UpperCAmelCase			):


	@staticmethod
	def    _a     (lowercase							):
				A_     :						Any     =					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=lowercase	,				help="""Configuration file on which to run."""							)
				add_new_model_parser.add_argument(
				    """--path"""	,				type=lowercase	,				help="""Path to cookiecutter. Should only be used for testing purposes."""							)
				add_new_model_parser.set_defaults(func=lowercase							)


	def __init__(self	,				lowercase	,				lowercase	,				lowercase=None	,				*lowercase							):
				A_     :						List[str]     =					testing
				A_     :						List[Any]     =					testing_file
				A_     :						Union[str, Any]     =					path


	def    _a     (self							):
				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_     :						Optional[int]     =					[directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
				if len(lowercase							) > 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_     :						Tuple     =					(
				    Path(lowercase							).parent.parent.parent.parent if self._path is None else Path(self._path							).parent.parent
				)
				A_     :						Optional[int]     =					path_to_transformer_root / """templates""" / """adding_a_new_model"""

				# Execute cookiecutter
				if not self._testing:
							cookiecutter(str(lowercase							)							)
				else:
							with open(self._testing_file	,				"""r"""							) as configuration_file:
										A_     :						Dict     =					json.load(lowercase							)

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

				A_     :						Union[str, Any]     =					[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_     :						Optional[Any]     =					json.load(lowercase							)

				A_     :						str     =					configuration["""lowercase_modelname"""]
				A_     :						Optional[int]     =					configuration["""generate_tensorflow_pytorch_and_flax"""]
				os.remove(F'{directory}/configuration.json'							)

				A_     :						Union[str, Any]     =					"""PyTorch""" in generate_tensorflow_pytorch_and_flax
				A_     :						int     =					"""TensorFlow""" in generate_tensorflow_pytorch_and_flax
				A_     :						List[str]     =					"""Flax""" in generate_tensorflow_pytorch_and_flax

				A_     :						List[str]     =					F'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
				os.makedirs(lowercase	,				exist_ok=lowercase							)
				os.makedirs(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}'	,				exist_ok=lowercase							)

				# 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(lowercase							):
							with open(lowercase	,				"""r"""							) as f:
										A_     :						Any     =					f.readlines()
							with open(lowercase	,				"""w"""							) as f:
										for line in lines:
													if "# Copied from transformers." not in line:
																f.write(lowercase							)

				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(lowercase	,				lowercase	,				lowercase							):
							# Create temp file
							A_,   A_     :						Dict     =					mkstemp()
							A_     :						Tuple     =					False
							with fdopen(lowercase	,				"""w"""							) as new_file:
										with open(lowercase							) as old_file:
													for line in old_file:
																new_file.write(lowercase							)
																if line_to_copy_below in line:
																			A_     :						Optional[int]     =					True
																			for line_to_copy in lines_to_copy:
																						new_file.write(lowercase							)

							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(lowercase	,				lowercase							)
							# Remove original file
							remove(lowercase							)
							# Move new file
							move(lowercase	,				lowercase							)

				def skip_units(lowercase							):
							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(lowercase							):
							with open(lowercase							) as datafile:
										A_     :						Union[str, Any]     =					[]
										A_     :						List[Any]     =					False
										A_     :						List[Any]     =					False
										for line in datafile:
													if "# To replace in: " in line and "##" not in line:
																A_     :						Optional[int]     =					line.split("""\""""							)[1]
																A_     :						str     =					skip_units(lowercase							)
													elif "# Below: " in line and "##" not in line:
																A_     :						Any     =					line.split("""\""""							)[1]
																A_     :						Any     =					skip_units(lowercase							)
													elif "# End." in line and "##" not in line:
																if not skip_file and not skip_snippet:
																			replace(lowercase	,				lowercase	,				lowercase							)

																A_     :						Tuple     =					[]
													elif "# Replace with" in line and "##" not in line:
																A_     :						Optional[int]     =					[]
													elif "##" not in line:
																lines_to_copy.append(lowercase							)

							remove(lowercase							)

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




'''simple docstring'''




from typing import Dict

from .base import GenericTensor, Pipeline







class      _lowerCAmelCase							(      __UpperCAmelCase			):


	def    _a     (self	,				lowercase=None	,				lowercase=None	,				lowercase=None	,				**lowercase							):
				if tokenize_kwargs is None:
							A_     :						Optional[Any]     =					{}

				if truncation is not None:
							if "truncation" in tokenize_kwargs:
										raise ValueError(
										    """truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)"""							)
							A_     :						str     =					truncation

				A_     :						List[str]     =					tokenize_kwargs

				A_     :						Dict     =					{}
				if return_tensors is not None:
							A_     :						List[Any]     =					return_tensors

				return preprocess_params, {}, postprocess_params


	def    _a     (self	,				lowercase	,				**lowercase							):
				A_     :						Optional[int]     =					self.framework
				A_     :						str     =					self.tokenizer(lowercase	,				return_tensors=lowercase	,				**lowercase							)
				return model_inputs


	def    _a     (self	,				lowercase							):
				A_     :						str     =					self.model(**lowercase							)
				return model_outputs


	def    _a     (self	,				lowercase	,				lowercase=False							):
				# [0] is the first available tensor, logits or last_hidden_state.
				if return_tensors:
							return model_outputs[0]
				if self.framework == "pt":
							return model_outputs[0].tolist()
				elif self.framework == "tf":
							return model_outputs[0].numpy().tolist()


	def __call__(self	,				*lowercase	,				**lowercase							):
				return super().__call__(*lowercase	,				**lowercase							)