



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

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

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


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

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

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

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

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

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

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

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

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

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

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

				check_model_table(args.fix_and_overwrite)







'''simple docstring'''






import json
import os
import subprocess
import sys
import warnings
from argparse import ArgumentParser
from contextlib import AbstractContextManager
from typing import Dict, List, Optional

import requests

from ..utils import logging
from . import BaseTransformersCLICommand


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


__lowercase	=    '''lfs-multipart-upload'''

class 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	@staticmethod
	def 	__A      (						UpperCamelCase_				: ArgumentParser      ):
			lowerCAmelCase_   :       Dict    							=parser.add_parser(
			    '''lfs-enable-largefiles'''					,						help=(
			        '''Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB.'''
			    )					,						)
			enable_parser.add_argument('''path'''					,						type=UpperCamelCase_					,						help='''Local path to repository you want to configure.'''      )
			enable_parser.set_defaults(func=lambda UpperCamelCase_      : LfsEnableCommand(UpperCamelCase_      )      )

			lowerCAmelCase_   :       str    							=parser.add_parser(
			    UpperCamelCase_					,						help=(
			        '''Deprecated: use `huggingface-cli` instead. '''
			        '''Command will get called by git-lfs, do not call it directly.'''
			    )					,						)
			upload_parser.set_defaults(func=lambda UpperCamelCase_      : LfsUploadCommand(UpperCamelCase_      )      )







class 							_snake_case     :
	"""simple docstring"""





	def __init__(						self				: Any					,						UpperCamelCase_				: str      ):
			lowerCAmelCase_   :       Any    							=args





	def 	__A      (						self				: Optional[int]      ):
			warnings.warn(
			    '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''      )
			lowerCAmelCase_   :       Optional[Any]    							=os.path.abspath(self.args.path      )
			if not os.path.isdir(UpperCamelCase_      ):
					print('''This does not look like a valid git repo.'''      )
					exit(1      )
			subprocess.run(
			    '''git config lfs.customtransfer.multipart.path transformers-cli'''.split()					,						check=UpperCamelCase_					,						cwd=UpperCamelCase_      )
			subprocess.run(
			    F'git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'.split()					,						check=UpperCamelCase_					,						cwd=UpperCamelCase_					,						)
			print('''Local repo set up for largefiles'''      )







def 		SCREAMING_SNAKE_CASE__					(							_SCREAMING_SNAKE_CASE  ):
		lowerCAmelCase_   :       Optional[int]    							=json.dumps(_SCREAMING_SNAKE_CASE  ) + '''\n'''
		sys.stdout.write(_SCREAMING_SNAKE_CASE  )
		sys.stdout.flush()







def 		SCREAMING_SNAKE_CASE__					(							):
		lowerCAmelCase_   :       List[Any]    							=json.loads(sys.stdin.readline().strip()  )

		if "terminate" in (msg.get('''type'''  ), msg.get('''event'''  )):
				# terminate message received
				return None

		if msg.get('''event'''  ) not in ("download", "upload"):
				logger.critical('''Received unexpected message'''  )
				sys.exit(1  )

		return msg

class 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	def __init__(						self				: Tuple					,						UpperCamelCase_				: str					,						UpperCamelCase_				: int					,						UpperCamelCase_				: int      ):
			lowerCAmelCase_   :       int    							=filepath
			lowerCAmelCase_   :       Optional[Any]    							=seek_from
			lowerCAmelCase_   :       Tuple    							=read_limit
			lowerCAmelCase_   :       Tuple    							=0




	def __enter__(						self				: int      ):
			lowerCAmelCase_   :       str    							=open(self.filepath					,						'''rb'''      )
			self.f.seek(self.seek_from      )
			return self




	def __len__(						self				: Optional[Any]      ):
			lowerCAmelCase_   :       Tuple    							=os.fstat(self.f.fileno()      ).st_size
			return min(self.read_limit					,						total_length - self.seek_from      )




	def 	__A      (						self				: Any					,						UpperCamelCase_				: str=-1      ):
			if self.n_seen >= self.read_limit:
					return b""
			lowerCAmelCase_   :       str    							=self.read_limit - self.n_seen
			lowerCAmelCase_   :       Optional[int]    							=self.f.read(remaining_amount if n < 0 else min(UpperCamelCase_					,						UpperCamelCase_      )      )
			self.n_seen += len(UpperCamelCase_      )
			return data




	def __iter__(						self				: int      ):
			yield self.read(n=4 * 1024 * 1024      )





	def __exit__(						self				: Tuple					,						*UpperCamelCase_				: Tuple      ):
			self.f.close()







class 							_snake_case     :
	"""simple docstring"""





	def __init__(						self				: List[str]					,						UpperCamelCase_				: List[str]      ):
			lowerCAmelCase_   :       int    							=args





	def 	__A      (						self				: List[Any]      ):
			# Immediately after invoking a custom transfer process, git-lfs
			# sends initiation data to the process over stdin.
			# This tells the process useful information about the configuration.
			lowerCAmelCase_   :       Union[str, Any]    							=json.loads(sys.stdin.readline().strip()      )
			if not (init_msg.get('''event'''      ) == "init" and init_msg.get('''operation'''      ) == "upload"):
					write_msg({'''error''': {'''code''': 32, '''message''': '''Wrong lfs init operation'''}}      )
					sys.exit(1      )

			# The transfer process should use the information it needs from the
			# initiation structure, and also perform any one-off setup tasks it
			# needs to do. It should then respond on stdout with a simple empty
			# confirmation structure, as follows:
			write_msg({}      )

			# After the initiation exchange, git-lfs will send any number of
			# transfer requests to the stdin of the transfer process, in a serial sequence.
			while True:
					lowerCAmelCase_   :       List[Any]    							=read_msg()
					if msg is None:
							# When all transfers have been processed, git-lfs will send
							# a terminate event to the stdin of the transfer process.
							# On receiving this message the transfer process should
							# clean up and terminate. No response is expected.
							sys.exit(0      )

					lowerCAmelCase_   :       List[Any]    							=msg['''oid''']
					lowerCAmelCase_   :       List[str]    							=msg['''path''']
					lowerCAmelCase_   :       int    							=msg['''action''']['''href''']
					lowerCAmelCase_   :       List[Any]    							=msg['''action''']['''header''']
					lowerCAmelCase_   :       Union[str, Any]    							=int(header.pop('''chunk_size'''      )      )
					lowerCAmelCase_   :       List[str]    							=list(header.values()      )

					lowerCAmelCase_   :       Dict    							=[]
					for i, presigned_url in enumerate(UpperCamelCase_      ):
							with FileSlice(UpperCamelCase_					,						seek_from=i * chunk_size					,						read_limit=UpperCamelCase_      ) as data:
									lowerCAmelCase_   :       Optional[Any]    							=requests.put(UpperCamelCase_					,						data=UpperCamelCase_      )
									r.raise_for_status()
									parts.append(
									    {
									        '''etag''': r.headers.get('''etag'''      ),
									        '''partNumber''': i + 1,
									    }      )
									# In order to support progress reporting while data is uploading / downloading,
									# the transfer process should post messages to stdout
									write_msg(
									    {
									        '''event''': '''progress''',
									        '''oid''': oid,
									        '''bytesSoFar''': (i + 1) * chunk_size,
									        '''bytesSinceLast''': chunk_size,
									    }      )
									# Not precise but that's ok.

					lowerCAmelCase_   :       Optional[Any]    							=requests.post(
					    UpperCamelCase_					,						json={
					        '''oid''': oid,
					        '''parts''': parts,
					    }					,						)
					r.raise_for_status()

					write_msg({'''event''': '''complete''', '''oid''': oid}      )






