






"""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

						A__       :				List[Any] 					=					True
except ImportError:
						A__       :				List[str] 					=					False

A__       :				str 					=					logging.get_logger(__name__)  # pylint: disable=invalid-name

def  _snake_case				(     lowerCamelCase__	:    Optional[Any]  )				->	Union[str, Any]:
							return AddNewModelCommand(args.testing				,						args.testing_file				,						path=args.path  )







class    lowercase__			(							A__   ):


			@staticmethod
			def 	UpperCAmelCase__						(      snake_case__     :  str					):
										lowerCamelCase_       :							Tuple									=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     :  str   ,       snake_case__     :  List[Any]   ,       snake_case__     :  List[str]   ,       snake_case__     :  Union[str, Any]=None   ,       *snake_case__     :  int					):
										lowerCamelCase_       :							int									=testing
										lowerCamelCase_       :							Optional[int]									=testing_file
										lowerCamelCase_       :							Dict									=path


			def 	UpperCAmelCase__						(      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
										lowerCamelCase_       :							Optional[int]									=[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."					)

										lowerCamelCase_       :							Optional[int]									=(
										    Path(UpperCamelCase_					).parent.parent.parent.parent if self._path is None else Path(self._path					).parent.parent
										)
										lowerCamelCase_       :							int									=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:
																								lowerCamelCase_       :							Union[str, Any]									=json.load(UpperCamelCase_					)

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

										lowerCamelCase_       :							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:
																	lowerCamelCase_       :							Any									=json.load(UpperCamelCase_					)

										lowerCamelCase_       :							Union[str, Any]									=configuration['''lowercase_modelname''']
										lowerCamelCase_       :							Union[str, Any]									=configuration['''generate_tensorflow_pytorch_and_flax''']
										os.remove(F"""{directory}/configuration.json"""					)

										lowerCamelCase_       :							str									='''PyTorch''' in generate_tensorflow_pytorch_and_flax
										lowerCamelCase_       :							str									='''TensorFlow''' in generate_tensorflow_pytorch_and_flax
										lowerCamelCase_       :							List[str]									='''Flax''' in generate_tensorflow_pytorch_and_flax

										lowerCamelCase_       :							List[Any]									=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(snake_case__     :  Dict					):
																	with open(UpperCamelCase_   ,       "r"					) as f:
																								lowerCamelCase_       :							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(snake_case__     :  Dict   ,       snake_case__     :  List[str]   ,       snake_case__     :  Union[str, Any]					):
																	# Create temp file
																	lowerCamelCase_       :							List[str]									=mkstemp()
																	lowerCamelCase_       :							Optional[int]									=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:
																																													lowerCamelCase_       :							int									=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(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(snake_case__     :  Tuple					):
																	with open(UpperCamelCase_					) as datafile:
																								lowerCamelCase_       :							Union[str, Any]									=[]
																								lowerCamelCase_       :							int									=False
																								lowerCamelCase_       :							Dict									=False
																								for line in datafile:
																															if "# To replace in: " in line and "##" not in line:
																																						lowerCamelCase_       :							List[str]									=line.split("\""					)[1]
																																						lowerCamelCase_       :							int									=skip_units(UpperCamelCase_					)
																															elif "# Below: " in line and "##" not in line:
																																						lowerCamelCase_       :							str									=line.split("\""					)[1]
																																						lowerCamelCase_       :							Tuple									=skip_units(UpperCamelCase_					)
																															elif "# End." in line and "##" not in line:
																																						if not skip_file and not skip_snippet:
																																													replace(UpperCamelCase_   ,       UpperCamelCase_   ,       UpperCamelCase_					)

																																						lowerCamelCase_       :							Union[str, Any]									=[]
																															elif "# Replace with" in line and "##" not in line:
																																						lowerCamelCase_       :							str									=[]
																															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_					)







'''simple docstring'''
from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
		if not (is_transformers_available() and is_torch_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
		from .multicontrolnet import MultiControlNetModel
		from .pipeline_controlnet import StableDiffusionControlNetPipeline
		from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
		from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
		from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline