
"""simple docstring"""


import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


_lowercase							   =				(
    '''https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'''
)


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






def       _snake_case				(		):
	A						   =   'https://pypi.org/pypi/diffusers/json'
	A						   =   json.loads(request.urlopen(_lowercase     ).read()     )['releases'].keys()
	return sorted(_lowercase	,      key=lambda snake_case__     : version.Version(_lowercase     )     )






def       _snake_case				(		):







	if HF_MODULES_CACHE in sys.path:
		return

	sys.path.append(_lowercase     )
	os.makedirs(_lowercase	,      exist_ok=_lowercase     )
	A						   =   Path(_lowercase     ) / '__init__.py'
	if not init_path.exists():
		init_path.touch()






def       _snake_case				(		snake_case__   :     Any     ):
	init_hf_modules()
	A						   =   Path(_lowercase     ) / name
	# If the parent module does not exist yet, recursively create it.
	if not dynamic_module_path.parent.exists():
		create_dynamic_module(dynamic_module_path.parent     )
	os.makedirs(_lowercase	,      exist_ok=_lowercase     )
	A						   =   dynamic_module_path / '__init__.py'
	if not init_path.exists():
		init_path.touch()






def       _snake_case				(		snake_case__   :     Union[str, Any]     ):







	with open(_lowercase	,      'r'	,      encoding='utf-8'     ) as f:
		A						   =   f.read()

	# Imports of the form `import .xxx`
	A						   =   re.findall('^\s*import\s+\.(\S+)\s*$'	,      _lowercase	,      flags=re.MULTILINE     )
	# Imports of the form `from .xxx import yyy`
	relative_imports += re.findall('^\s*from\s+\.(\S+)\s+import'	,      _lowercase	,      flags=re.MULTILINE     )
	# Unique-ify
	return list(set(_lowercase     )     )






def       _snake_case				(		snake_case__   :     Any     ):
	A						   =   False
	A						   =   [module_file]
	A						   =   []

	# Let's recurse through all relative imports
	while not no_change:
		A						   =   []
		for f in files_to_check:
			new_imports.extend(get_relative_imports(_lowercase     )     )

		A						   =   Path(_lowercase     ).parent
		A						   =   [str(module_path / m     ) for m in new_imports]
		A						   =   [f for f in new_import_files if f not in all_relative_imports]
		A						   =   [F'{f}.py' for f in new_import_files]

		A						   =   len(_lowercase     ) == 0
		all_relative_imports.extend(_lowercase     )

	return all_relative_imports






def       _snake_case				(		snake_case__   :     List[str]     ):







	with open(_lowercase	,      'r'	,      encoding='utf-8'     ) as f:
		A						   =   f.read()

	# Imports of the form `import xxx`
	A						   =   re.findall('^\s*import\s+(\S+)\s*$'	,      _lowercase	,      flags=re.MULTILINE     )
	# Imports of the form `from xxx import yyy`
	imports += re.findall('^\s*from\s+(\S+)\s+import'	,      _lowercase	,      flags=re.MULTILINE     )
	# Only keep the top-level module
	A						   =   [imp.split('.'     )[0] for imp in imports if not imp.startswith('.'     )]

	# Unique-ify and test we got them all
	A						   =   list(set(_lowercase     )     )
	A						   =   []
	for imp in imports:
		try:
			importlib.import_module(_lowercase     )
		except ImportError:
			missing_packages.append(_lowercase     )

	if len(_lowercase     ) > 0:
		raise ImportError(
		    'This modeling file requires the following packages that were not found in your environment: '
		    F'{", ".join(_lowercase     )}. Run `pip install {" ".join(_lowercase     )}`'     )

	return get_relative_imports(_lowercase     )






def       _snake_case				(		snake_case__   :     Optional[Any]	,      snake_case__   :     Dict     ):
	A						   =   module_path.replace(os.path.sep	,      '.'     )
	A						   =   importlib.import_module(_lowercase     )

	if class_name is None:
		return find_pipeline_class(_lowercase     )
	return getattr(_lowercase	,      _lowercase     )






def       _snake_case				(		snake_case__   :     Optional[Any]     ):
	from ..pipelines import DiffusionPipeline

	A						   =   dict(inspect.getmembers(_lowercase	,      inspect.isclass     )     )

	A						   =   None
	for cls_name, cls in cls_members.items():
		if (
		    cls_name != DiffusionPipeline.__name__
		    and issubclass(cls	,      _lowercase     )
		    and cls.__module__.split('.'     )[0] != "diffusers"
		):
			if pipeline_class is not None:
				raise ValueError(
				    F'Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'
				    F' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'
				    F' {loaded_module}.'     )
			A						   =   cls

	return pipeline_class






def       _snake_case				(		snake_case__   :     Tuple	,      snake_case__   :     Union[str, Any]	,      snake_case__   :     Any = None	,      snake_case__   :     Union[str, Any] = False	,      snake_case__   :     Tuple = False	,      snake_case__   :     int = None	,      snake_case__   :     Any = None	,      snake_case__   :     Tuple = None	,      snake_case__   :     Any = False	,      ):
	A						   =   str(_lowercase     )

	A						   =   os.path.join(_lowercase	,      _lowercase     )

	if os.path.isfile(_lowercase     ):
		A						   =   module_file_or_url
		A						   =   'local'
	elif pretrained_model_name_or_path.count('/'     ) == 0:
		A						   =   get_diffusers_versions()
		# cut ".dev0"
		A						   =   'v' + '.'.join(__version__.split('.'     )[:3]     )

		# retrieve github version that matches
		if revision is None:
			A						   =   latest_version if latest_version[1:] in available_versions else 'main'
			logger.info(F'Defaulting to latest_version: {revision}.'     )
		elif revision in available_versions:
			A						   =   F'v{revision}'
		elif revision == "main":
			A						   =   revision
		else:
			raise ValueError(
			    F'`custom_revision`: {revision} does not exist. Please make sure to choose one of'
			    F' {", ".join(available_versions + ["main"]     )}.'     )

		# community pipeline on GitHub
		A						   =   COMMUNITY_PIPELINES_URL.format(revision=_lowercase	,      pipeline=_lowercase     )
		try:
			A						   =   cached_download(
			    _lowercase	,      cache_dir=_lowercase	,      force_download=_lowercase	,      proxies=_lowercase	,      resume_download=_lowercase	,      local_files_only=_lowercase	,      use_auth_token=_lowercase	,      )
			A						   =   'git'
			A						   =   pretrained_model_name_or_path + '.py'
		except EnvironmentError:
			logger.error(F'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'     )
			raise
	else:
		try:
			# Load from URL or cache if already cached
			A						   =   hf_hub_download(
			    _lowercase	,      _lowercase	,      cache_dir=_lowercase	,      force_download=_lowercase	,      proxies=_lowercase	,      resume_download=_lowercase	,      local_files_only=_lowercase	,      use_auth_token=_lowercase	,      )
			A						   =   os.path.join('local'	,      '--'.join(pretrained_model_name_or_path.split('/'     )     )     )
		except EnvironmentError:
			logger.error(F'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'     )
			raise

    # Check we have all the requirements in our environment
	A						   =   check_imports(_lowercase     )

	# Now we move the module inside our cached dynamic modules.
	A						   =   DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
	create_dynamic_module(_lowercase     )
	A						   =   Path(_lowercase     ) / full_submodule
	if submodule == "local" or submodule == "git":
		# We always copy local files (we could hash the file to see if there was a change, and give them the name of
		# that hash, to only copy when there is a modification but it seems overkill for now).
		# The only reason we do the copy is to avoid putting too many folders in sys.path.
		shutil.copy(_lowercase	,      submodule_path / module_file     )
		for module_needed in modules_needed:
			A						   =   F'{module_needed}.py'
			shutil.copy(os.path.join(_lowercase	,      _lowercase     )	,      submodule_path / module_needed     )
	else:
		# Get the commit hash
		# TODO: we will get this info in the etag soon, so retrieve it from there and not here.
		if isinstance(_lowercase	,      _lowercase     ):
			A						   =   use_auth_token
		elif use_auth_token is True:
			A						   =   HfFolder.get_token()
		else:
			A						   =   None

		A						   =   model_info(_lowercase	,      revision=_lowercase	,      token=_lowercase     ).sha

		# The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
		# benefit of versioning.
		A						   =   submodule_path / commit_hash
		A						   =   full_submodule + os.path.sep + commit_hash
		create_dynamic_module(_lowercase     )

		if not (submodule_path / module_file).exists():
			shutil.copy(_lowercase	,      submodule_path / module_file     )
		# Make sure we also have every file with relative
		for module_needed in modules_needed:
			if not (submodule_path / module_needed).exists():
				get_cached_module_file(
				    _lowercase	,      F'{module_needed}.py'	,      cache_dir=_lowercase	,      force_download=_lowercase	,      resume_download=_lowercase	,      proxies=_lowercase	,      use_auth_token=_lowercase	,      revision=_lowercase	,      local_files_only=_lowercase	,      )
	return os.path.join(_lowercase	,      _lowercase     )






def       _snake_case				(		snake_case__   :     List[str]	,      snake_case__   :     Tuple	,      snake_case__   :     Tuple = None	,      snake_case__   :     Any = None	,      snake_case__   :     Any = False	,      snake_case__   :     Tuple = False	,      snake_case__   :     Any = None	,      snake_case__   :     str = None	,      snake_case__   :     List[str] = None	,      snake_case__   :     Tuple = False	,      **snake_case__   :     int	,      ):
	A						   =   get_cached_module_file(
	    _lowercase	,      _lowercase	,      cache_dir=_lowercase	,      force_download=_lowercase	,      resume_download=_lowercase	,      proxies=_lowercase	,      use_auth_token=_lowercase	,      revision=_lowercase	,      local_files_only=_lowercase	,      )
	return get_class_in_module(_lowercase	,      final_module.replace('.py'	,      ''     )     )







"""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

		_lowercase							   =				True
except ImportError:
		_lowercase							   =				False

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






def       _snake_case				(		snake_case__   :     Namespace     ):
	return AddNewModelCommand(args.testing	,      args.testing_file	,      path=args.path     )







class 				lowerCAmelCase_				(      _lowercase    ):



						'''simple docstring'''


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


						def __init__( self     :      Tuple  ,A_     :      bool  ,A_     :      str  ,A_     :      Tuple=None  ,*A_     :      List[str]      )     ->   Union[str, Any]:
							A						   =   testing
							A						   =   testing_file
							A						   =   path




						def 						_SCREAMING_SNAKE_CASE      ( self     :      int      )     ->   int:
							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(A_      ) > 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(A_      ).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(A_      )      )
							else:
								with open(self._testing_file  ,'r'      ) as configuration_file:
									A						   =   json.load(A_      )

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

							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(A_      )

							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(A_  ,exist_ok=A_      )
							os.makedirs(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}'  ,exist_ok=A_      )

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

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

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

							def skip_units(A_     :      Dict      ):
								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(A_     :      Tuple      ):
								with open(A_      ) 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(A_      )
										elif "# Below: " in line and "##" not in line:
											A						   =   line.split('"'      )[1]
											A						   =   skip_units(A_      )
										elif "# End." in line and "##" not in line:
											if not skip_file and not skip_snippet:
												replace(A_  ,A_  ,A_      )

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

								remove(A_      )

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