
"""simple docstring"""


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
A_						       =				"""src/diffusers"""
A_						       =				"""docs/source/en"""
A_						       =				"""."""






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

			lowerCamelCase_ 		=     start_index
			while not lines[end_index].startswith(lowerCAmelCase__	):
						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 |
A_						       =				"""Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
A_						       =				re.compile(R"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
A_						       =				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.
A_						       =				re.compile(R"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


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






def    lowercase	(  lowerCAmelCase__	):
			lowerCamelCase_ 		=     re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''  ,lowerCAmelCase__	)
			return [m.group(0	) for m in matches]






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__	):
			lowerCamelCase_ 		=     2 if text == '''✅''' or text == '''❌''' else len(lowerCAmelCase__	)
			lowerCamelCase_ 		=     (width - text_length) // 2
			lowerCamelCase_ 		=     width - text_length - left_indent
			return " " * left_indent + text + " " * right_indent






def    lowercase	(  ):
			lowerCamelCase_ 		=     diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
			lowerCamelCase_ 		=     {
			    name: config_mapping_names[code]
			    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
			    if code in config_mapping_names
			}
			lowerCamelCase_ 		=     {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.
			lowerCamelCase_ 		=     collections.defaultdict(lowerCAmelCase__	)
			lowerCamelCase_ 		=     collections.defaultdict(lowerCAmelCase__	)
			lowerCamelCase_ 		=     collections.defaultdict(lowerCAmelCase__	)
			lowerCamelCase_ 		=     collections.defaultdict(lowerCAmelCase__	)
			lowerCamelCase_ 		=     collections.defaultdict(lowerCAmelCase__	)

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

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

    # Let's build that table!
			lowerCamelCase_ 		=     list(model_name_to_config.keys()	)
			model_names.sort(key=str.lower	)
			lowerCamelCase_ 		=     ['''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).
			lowerCamelCase_ 		=     [len(lowerCAmelCase__	) + 2 for c in columns]
			lowerCamelCase_ 		=     max([len(lowerCAmelCase__	) for name in model_names]	) + 2

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

			lowerCamelCase_ 		=     {True: '''✅''', False: '''❌'''}
			for name in model_names:
						lowerCamelCase_ 		=     model_name_to_prefix[name]
						lowerCamelCase_ 		=     [
						    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(lowerCAmelCase__  ,lowerCAmelCase__	) for l, w in zip(lowerCAmelCase__  ,lowerCAmelCase__	)]	) + "|\n"
			return table






def    lowercase	(  lowerCAmelCase__=False	):
			lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_ 		=     _find_text_in_file(
			    filename=os.path.join(lowerCAmelCase__  ,'''index.mdx'''	)  ,start_prompt='''<!--This table is updated automatically from the auto modules'''  ,end_prompt='''<!-- End table-->'''  ,)
			lowerCamelCase_ 		=     get_model_table_from_auto_modules()

			if current_table != new_table:
						if overwrite:
									with open(os.path.join(lowerCAmelCase__  ,'''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__":
						A_						       =				argparse.ArgumentParser()
						parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
						A_						       =				parser.parse_args()

						check_model_table(args.fix_and_overwrite)





"""simple docstring"""


import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils




class    __lowerCamelCase     (   unittest.TestCase ):




				@patch('''diffusers.utils.hub_utils.get_full_repo_name'''      )
				def 					UpperCAmelCase__	(							self       ,	UpperCAmelCase      ):
							lowerCamelCase_ 		=     '''full_repo_name'''
							with TemporaryDirectory() as tmpdir:
										# Dummy args values
										lowerCamelCase_ 		=     Mock()
										lowerCamelCase_ 		=     tmpdir
										lowerCamelCase_ 		=     0
										lowerCamelCase_ 		=     '''hub_token'''
										lowerCamelCase_ 		=     '''dataset_name'''
										lowerCamelCase_ 		=     0.0_1
										lowerCamelCase_ 		=     10_0000
										lowerCamelCase_ 		=     1_0000
										lowerCamelCase_ 		=     0.0_1
										lowerCamelCase_ 		=     0.0_2
										lowerCamelCase_ 		=     0.0_3
										lowerCamelCase_ 		=     0.0_0_0_5
										lowerCamelCase_ 		=     0.0_0_0_0_0_1
										lowerCamelCase_ 		=     1
										lowerCamelCase_ 		=     10
										lowerCamelCase_ 		=     0.0_0_1
										lowerCamelCase_ 		=     0.1
										lowerCamelCase_ 		=     0.2
										lowerCamelCase_ 		=     True

										# Model card mush be rendered and saved
										diffusers.utils.hub_utils.create_model_card(UpperCAmelCase       ,	model_name='''model_name'''      )
										self.assertTrue((Path(UpperCAmelCase      ) / '''README.md''').is_file()      )



