






'''simple docstring'''





import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

__UpperCAmelCase							:   Dict							=  yaml.safe_load(
    "\\nname: \"\"\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: \"Dataset Card for X\" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: \"Table of Contents\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: \"Dataset Description\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: \"Dataset Summary\"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: \"Supported Tasks and Leaderboards\"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n"
)


__UpperCAmelCase							:   Optional[int]							=  {
    "name": "root",
    "text": "",
    "is_empty_text": True,
    "subsections": [
        {
            "name": "Dataset Card for My Dataset",
            "text": "",
            "is_empty_text": True,
            "subsections": [
                {"name": "Table of Contents", "text": "Some text here.", "is_empty_text": False, "subsections": []},
                {
                    "name": "Dataset Description",
                    "text": "Some text here.",
                    "is_empty_text": False,
                    "subsections": [
                        {
                            "name": "Dataset Summary",
                            "text": "Some text here.",
                            "is_empty_text": False,
                            "subsections": [],
                        },
                        {
                            "name": "Supported Tasks and Leaderboards",
                            "text": "",
                            "is_empty_text": True,
                            "subsections": [],
                        },
                        {"name": "Languages", "text": "Language Text", "is_empty_text": False, "subsections": []},
                    ],
                },
            ],
        }
    ],
}


__UpperCAmelCase							:   Optional[Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"


__UpperCAmelCase							:   Optional[Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   Dict							=  {
    "name": "root",
    "text": "",
    "is_empty_text": True,
    "subsections": [
        {
            "name": "Dataset Card for My Dataset",
            "text": "",
            "is_empty_text": True,
            "subsections": [
                {"name": "Table of Contents", "text": "Some text here.", "is_empty_text": False, "subsections": []},
                {
                    "name": "Dataset Description",
                    "text": "Some text here.",
                    "is_empty_text": False,
                    "subsections": [
                        {
                            "name": "Dataset Summary",
                            "text": "Some text here.",
                            "is_empty_text": False,
                            "subsections": [
                                {
                                    "name": "Extra Ignored Subsection",
                                    "text": "",
                                    "is_empty_text": True,
                                    "subsections": [],
                                }
                            ],
                        },
                        {
                            "name": "Supported Tasks and Leaderboards",
                            "text": "",
                            "is_empty_text": True,
                            "subsections": [],
                        },
                        {"name": "Languages", "text": "Language Text", "is_empty_text": False, "subsections": []},
                    ],
                },
            ],
        }
    ],
}

__UpperCAmelCase							:   str							=  "\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   Tuple							=  (
    "The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README."
)

__UpperCAmelCase							:   Optional[Any]							=  "\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   List[Any]							=  (
    "The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README."
)

__UpperCAmelCase							:   List[str]							=  "\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   List[str]							=  "The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README."

__UpperCAmelCase							:   Optional[int]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"
__UpperCAmelCase							:   Optional[Any]							=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored)."


__UpperCAmelCase							:   Optional[Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n"
__UpperCAmelCase							:   Union[str, Any]							=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found 'None'."

__UpperCAmelCase							:   Union[str, Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   Any							=  "The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`."


__UpperCAmelCase							:   int							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n"

__UpperCAmelCase							:   List[str]							=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty."

__UpperCAmelCase							:   Optional[Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"
__UpperCAmelCase							:   int							=  "The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README."

__UpperCAmelCase							:   List[Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n"

__UpperCAmelCase							:   Optional[int]							=  "The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README."

__UpperCAmelCase							:   int							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   Optional[int]							=  "The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."

__UpperCAmelCase							:   List[str]							=  ""

__UpperCAmelCase							:   str							=  "The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README."

__UpperCAmelCase							:   Union[str, Any]							=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__UpperCAmelCase							:   str							=  "The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections."





@pytest.mark.parametrize(
    "readme_md, expected_dict"	,	[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]	,	)
def 					lowercase_ (    __snake_case     :							List[Any]	,	__snake_case     :							Dict      )     -> Tuple:





				'''simple docstring'''


				assert ReadMe.from_string(__snake_case	,	__snake_case      ).to_dict() == expected_dict





@pytest.mark.parametrize(
    "readme_md, expected_error"	,	[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Any	,	__snake_case     :							Any      )     -> Union[str, Any]:





				'''simple docstring'''


				with pytest.raises(__snake_case	,	match=re.escape(expected_error.format(path="root"      )      )      ):
								snake_case__      :Dict         =   ReadMe.from_string(__snake_case	,	__snake_case      )
								readme.validate()





@pytest.mark.parametrize(
    "readme_md, expected_error"	,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]	,	)
def 					lowercase_ (    __snake_case     :							List[str]	,	__snake_case     :							Optional[Any]      )     -> Any:





				'''simple docstring'''


				with pytest.raises(__snake_case	,	match=re.escape(expected_error.format(path="root"      )      )      ):
								ReadMe.from_string(__snake_case	,	__snake_case      )





@pytest.mark.parametrize(
    "readme_md,"	,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Optional[Any]      )     -> Dict:





				'''simple docstring'''


				ReadMe.from_string(__snake_case	,	__snake_case	,	suppress_parsing_errors=__snake_case      )





@pytest.mark.parametrize(
    "readme_md, expected_dict"	,	[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Any	,	__snake_case     :							int      )     -> str:





				'''simple docstring'''


				with tempfile.TemporaryDirectory() as tmp_dir:
								snake_case__      :List[Any]         =   Path(__snake_case      ) / "README.md"
								with open(__snake_case	,	"w+"      ) as readme_file:
												readme_file.write(__snake_case      )
								snake_case__      :Optional[int]         =   ReadMe.from_readme(__snake_case	,	__snake_case      ).to_dict()
								assert out["name"] == path
								assert out["text"] == ""
								assert out["is_empty_text"]
								assert out["subsections"] == expected_dict["subsections"]





@pytest.mark.parametrize(
    "readme_md, expected_error"	,	[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]	,	)
def 					lowercase_ (    __snake_case     :							List[Any]	,	__snake_case     :							Optional[Any]      )     -> Dict:





				'''simple docstring'''


				with tempfile.TemporaryDirectory() as tmp_dir:
								snake_case__      :Dict         =   Path(__snake_case      ) / "README.md"
								with open(__snake_case	,	"w+"      ) as readme_file:
												readme_file.write(__snake_case      )
								snake_case__      :Tuple         =   expected_error.format(path=__snake_case      )
								with pytest.raises(__snake_case	,	match=re.escape(__snake_case      )      ):
												snake_case__      :List[str]         =   ReadMe.from_readme(__snake_case	,	__snake_case      )
												readme.validate()





@pytest.mark.parametrize(
    "readme_md, expected_error"	,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Any	,	__snake_case     :							Optional[Any]      )     -> Any:





				'''simple docstring'''


				with tempfile.TemporaryDirectory() as tmp_dir:
								snake_case__      :str         =   Path(__snake_case      ) / "README.md"
								with open(__snake_case	,	"w+"      ) as readme_file:
												readme_file.write(__snake_case      )
								snake_case__      :Tuple         =   expected_error.format(path=__snake_case      )
								with pytest.raises(__snake_case	,	match=re.escape(__snake_case      )      ):
												ReadMe.from_readme(__snake_case	,	__snake_case      )





@pytest.mark.parametrize(
    "readme_md,"	,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Any      )     -> Any:





				'''simple docstring'''


				with tempfile.TemporaryDirectory() as tmp_dir:
								snake_case__      :Optional[Any]         =   Path(__snake_case      ) / "README.md"
								with open(__snake_case	,	"w+"      ) as readme_file:
												readme_file.write(__snake_case      )
								ReadMe.from_readme(__snake_case	,	__snake_case	,	suppress_parsing_errors=__snake_case      )







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

	__UpperCAmelCase							:   Dict							=  True
except ImportError:
	__UpperCAmelCase							:   List[Any]							=  False

__UpperCAmelCase							:   Dict							=  logging.get_logger(__name__)  # pylint: disable=invalid-name





def 					lowercase_ (    __snake_case     :							Namespace      )     -> Dict:





				'''simple docstring'''


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


class 					_snake_case						(			_A ):






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






	def __init__(		self					,UpperCamelCase					,UpperCamelCase					,UpperCamelCase=None					,*UpperCamelCase       )						->    Any:
					snake_case__      :Union[str, Any]         =   testing
					snake_case__      :Union[str, Any]         =   testing_file
					snake_case__      :List[str]         =   path






	def    lowerCAmelCase_							(		self       )						->    List[Any]:
					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
					snake_case__      :Tuple         =   [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
					if len(UpperCamelCase       ) > 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."       )

					snake_case__      :str         =   (
					    Path(UpperCamelCase       ).parent.parent.parent.parent if self._path is None else Path(self._path       ).parent.parent
					)
					snake_case__      :Tuple         =   path_to_transformer_root / "templates" / "adding_a_new_model"

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

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

					snake_case__      :List[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:
									snake_case__      :Dict         =   json.load(UpperCamelCase       )

					snake_case__      :Optional[Any]         =   configuration["lowercase_modelname"]
					snake_case__      :List[Any]         =   configuration["generate_tensorflow_pytorch_and_flax"]
					os.remove(f'{directory}/configuration.json'       )

					snake_case__      :Any         =   "PyTorch" in generate_tensorflow_pytorch_and_flax
					snake_case__      :Any         =   "TensorFlow" in generate_tensorflow_pytorch_and_flax
					snake_case__      :Any         =   "Flax" in generate_tensorflow_pytorch_and_flax

					snake_case__      :Dict         =   f'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
					os.makedirs(UpperCamelCase					,exist_ok=UpperCamelCase       )
					os.makedirs(f'{path_to_transformer_root}/tests/models/{lowercase_model_name}'					,exist_ok=UpperCamelCase       )

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

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

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

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

																					snake_case__      :Tuple         =   []
																	elif "# Replace with" in line and "##" not in line:
																					snake_case__      :Optional[Any]         =   []
																	elif "##" not in line:
																					lines_to_copy.append(UpperCamelCase       )

									remove(UpperCamelCase       )

					replace_in_files(f'{directory}/to_replace_{lowercase_model_name}.py'       )
					os.rmdir(UpperCamelCase       )