



import argparse
import collections
import importlib.util
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
lowerCamelCase__     =	"""src/diffusers"""
lowerCamelCase__     =	"""docs/source/en"""
lowerCamelCase__     =	"""."""

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Any			,       _SCREAMING_SNAKE_CASE    :     str			,       _SCREAMING_SNAKE_CASE    :     Optional[int]      ):
				"""simple docstring"""







				with open(_SCREAMING_SNAKE_CASE			,       """r"""			,       encoding="""utf-8"""			,       newline="""\n"""      ) as f:
								__a					       =						f.readlines()
				# Find the start prompt.
				__a					       =						0
				while not lines[start_index].startswith(_SCREAMING_SNAKE_CASE      ):
								start_index += 1
				start_index += 1

				__a					       =						start_index
				while not lines[end_index].startswith(_SCREAMING_SNAKE_CASE      ):
								end_index += 1
				end_index -= 1

				while len(lines[start_index]      ) <= 1:
								start_index += 1
				while len(lines[end_index]      ) <= 1:
								end_index -= 1
				end_index += 1
				return "".join(lines[start_index:end_index]      ), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
lowerCamelCase__     =	"""Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
lowerCamelCase__     =	re.compile(r"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
lowerCamelCase__     =	re.compile(r"""Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
lowerCamelCase__     =	re.compile(r"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


# This is to make sure the diffusers module imported is the one in the repo.
lowerCamelCase__     =	importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(TRANSFORMERS_PATH, """__init__.py"""),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
lowerCamelCase__     =	spec.loader.load_module()

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]      ):
				"""simple docstring"""







				__a					       =						re.finditer(""".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"""			,       _SCREAMING_SNAKE_CASE      )
				return [m.group(0      ) for m in matches]

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     List[str]			,       _SCREAMING_SNAKE_CASE    :     str      ):
				"""simple docstring"""







				__a					       =						2 if text == """✅""" or text == """❌""" else len(_SCREAMING_SNAKE_CASE      )
				__a					       =						(width - text_length) // 2
				__a					       =						width - text_length - left_indent
				return " " * left_indent + text + " " * right_indent

def 					lowerCAmelCase__  (							):
				"""simple docstring"""







				__a					       =						diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
				__a					       =						{
				    name: config_mapping_names[code]
				    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
				    if code in config_mapping_names
				}
				__a					       =						{name: config.replace("""ConfigMixin"""			,       """"""      ) for name, config in model_name_to_config.items()}

				# Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
				__a					       =						collections.defaultdict(_SCREAMING_SNAKE_CASE      )
				__a					       =						collections.defaultdict(_SCREAMING_SNAKE_CASE      )
				__a					       =						collections.defaultdict(_SCREAMING_SNAKE_CASE      )
				__a					       =						collections.defaultdict(_SCREAMING_SNAKE_CASE      )
				__a					       =						collections.defaultdict(_SCREAMING_SNAKE_CASE      )

				# Let's lookup through all diffusers object (once).
				for attr_name in dir(_SCREAMING_SNAKE_CASE      ):
								__a					       =						None
								if attr_name.endswith("""Tokenizer"""      ):
												__a					       =						slow_tokenizers
												__a					       =						attr_name[:-9]
								elif attr_name.endswith("""TokenizerFast"""      ):
												__a					       =						fast_tokenizers
												__a					       =						attr_name[:-13]
								elif _re_tf_models.match(_SCREAMING_SNAKE_CASE      ) is not None:
												__a					       =						tf_models
												__a					       =						_re_tf_models.match(_SCREAMING_SNAKE_CASE      ).groups()[0]
								elif _re_flax_models.match(_SCREAMING_SNAKE_CASE      ) is not None:
												__a					       =						flax_models
												__a					       =						_re_flax_models.match(_SCREAMING_SNAKE_CASE      ).groups()[0]
								elif _re_pt_models.match(_SCREAMING_SNAKE_CASE      ) is not None:
												__a					       =						pt_models
												__a					       =						_re_pt_models.match(_SCREAMING_SNAKE_CASE      ).groups()[0]

								if lookup_dict is not None:
												while len(_SCREAMING_SNAKE_CASE      ) > 0:
																if attr_name in model_name_to_prefix.values():
																				__a					       =						True
																				break
																# Try again after removing the last word in the name
																__a					       =						"""""".join(camel_case_split(_SCREAMING_SNAKE_CASE      )[:-1]      )

    # Let's build that table!
				__a					       =						list(model_name_to_config.keys()      )
				model_names.sort(key=str.lower      )
				__a					       =						["""Model""", """Tokenizer slow""", """Tokenizer fast""", """PyTorch support""", """TensorFlow support""", """Flax Support"""]
				# We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
				__a					       =						[len(_SCREAMING_SNAKE_CASE      ) + 2 for c in columns]
				__a					       =						max([len(_SCREAMING_SNAKE_CASE      ) for name in model_names]      ) + 2

				# Build the table per se
				__a					       =						"""|""" + """|""".join([_center_text(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE      ) for c, w in zip(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE      )]      ) + """|\n"""
				# Use ":-----:" format to center-aligned table cell texts
				table += "|" + "|".join([""":""" + """-""" * (w - 2) + """:""" for w in widths]      ) + "|\n"

				__a					       =						{True: """✅""", False: """❌"""}
				for name in model_names:
								__a					       =						model_name_to_prefix[name]
								__a					       =						[
								    name,
								    check[slow_tokenizers[prefix]],
								    check[fast_tokenizers[prefix]],
								    check[pt_models[prefix]],
								    check[tf_models[prefix]],
								    check[flax_models[prefix]],
								]
								table += "|" + "|".join([_center_text(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE      ) for l, w in zip(_SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE      )]      ) + "|\n"
				return table

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Union[str, Any]=False      ):
				"""simple docstring"""







				__a       ,   __a       ,   __a       ,   __a					       =						_find_text_in_file(
				    filename=os.path.join(_SCREAMING_SNAKE_CASE			,       """index.mdx"""      )			,       start_prompt="""<!--This table is updated automatically from the auto modules"""			,       end_prompt="""<!-- End table-->"""			,       )
				__a					       =						get_model_table_from_auto_modules()

				if current_table != new_table:
								if overwrite:
												with open(os.path.join(_SCREAMING_SNAKE_CASE			,       """index.mdx"""      )			,       """w"""			,       encoding="""utf-8"""			,       newline="""\n"""      ) as f:
																f.writelines(lines[:start_index] + [new_table] + lines[end_index:]      )
								else:
												raise ValueError(
												    """The model table in the `index.mdx` has not been updated. Run `make fix-copies` to fix this."""      )


if __name__ == "__main__":
						lowerCamelCase__     =	argparse.ArgumentParser()
						parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
						lowerCamelCase__     =	parser.parse_args()

						check_model_table(args.fix_and_overwrite)





# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


lowerCamelCase__     =	"""Update an existing config file with the latest defaults while maintaining the old configuration."""

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Tuple      ):
				"""simple docstring"""







				__a					       =						args.config_file
				if config_file is None and Path(_SCREAMING_SNAKE_CASE      ).exists():
								__a					       =						default_config_file
				elif not Path(_SCREAMING_SNAKE_CASE      ).exists():
								raise ValueError(f"The passed config file located at {config_file} doesn't exist."      )
				__a					       =						load_config_from_file(_SCREAMING_SNAKE_CASE      )

				if config_file.endswith(""".json"""      ):
								config.to_json_file(_SCREAMING_SNAKE_CASE      )
				else:
								config.to_yaml_file(_SCREAMING_SNAKE_CASE      )
				return config_file

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]			,       _SCREAMING_SNAKE_CASE    :     int      ):
				"""simple docstring"""







				__a					       =						parser.add_parser("""update"""			,       parents=_SCREAMING_SNAKE_CASE			,       help=_SCREAMING_SNAKE_CASE			,       formatter_class=_SCREAMING_SNAKE_CASE      )
				parser.add_argument(
				    """--config_file"""			,       default=_SCREAMING_SNAKE_CASE			,       help=(
				        """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
				        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
				        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
				        """with 'huggingface'."""
				    )			,       )

				parser.set_defaults(func=_SCREAMING_SNAKE_CASE      )
				return parser

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[Any]      ):
				"""simple docstring"""







				__a					       =						update_config(_SCREAMING_SNAKE_CASE      )
				print(f"Sucessfully updated the configuration file at {config_file}."      )
