




"""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
UpperCamelCase__ :    Dict 					=							"src/diffusers"
UpperCamelCase__ :    Tuple 					=							"docs/source/en"
UpperCamelCase__ :    Optional[Any] 					=							"."




def       snake_case__	(       lowerCAmelCase   :		Optional[Any]				,					lowerCAmelCase   :		Dict				,					lowerCAmelCase   :		int		):
					with open(lowerCAmelCase				,					"""r"""				,					encoding="""utf-8"""				,					newline="""\n"""		) as f:
										__snake_case          =	f.readlines()
					# Find the start prompt.
					__snake_case          =	0
					while not lines[start_index].startswith(lowerCAmelCase		):
										start_index += 1
					start_index += 1

					__snake_case          =	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 |
UpperCamelCase__ :    Optional[int] 					=							"Model|Encoder|Decoder|ForConditionalGeneration"
# Regexes that match TF/Flax/PT model names.
UpperCamelCase__ :    List[Any] 					=							re.compile(r"TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")
UpperCamelCase__ :    List[Any] 					=							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.
UpperCamelCase__ :    Dict 					=							re.compile(r"(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")


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




def       snake_case__	(       lowerCAmelCase   :		Union[str, Any]		):
					__snake_case          =	re.finditer(""".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"""				,					lowerCAmelCase		)
					return [m.group(0		) for m in matches]




def       snake_case__	(       lowerCAmelCase   :		List[Any]				,					lowerCAmelCase   :		Any		):
					__snake_case          =	2 if text == """✅""" or text == """❌""" else len(lowerCAmelCase		)
					__snake_case          =	(width - text_length) // 2
					__snake_case          =	width - text_length - left_indent
					return " " * left_indent + text + " " * right_indent




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

					# Let's lookup through all diffusers object (once).
					for attr_name in dir(lowerCAmelCase		):
										__snake_case          =	None
										if attr_name.endswith("""Tokenizer"""		):
															__snake_case          =	slow_tokenizers
															__snake_case          =	attr_name[:-9]
										elif attr_name.endswith("""TokenizerFast"""		):
															__snake_case          =	fast_tokenizers
															__snake_case          =	attr_name[:-13]
										elif _re_tf_models.match(lowerCAmelCase		) is not None:
															__snake_case          =	tf_models
															__snake_case          =	_re_tf_models.match(lowerCAmelCase		).groups()[0]
										elif _re_flax_models.match(lowerCAmelCase		) is not None:
															__snake_case          =	flax_models
															__snake_case          =	_re_flax_models.match(lowerCAmelCase		).groups()[0]
										elif _re_pt_models.match(lowerCAmelCase		) is not None:
															__snake_case          =	pt_models
															__snake_case          =	_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():
																									__snake_case          =	True
																									break
																				# Try again after removing the last word in the name
																				__snake_case          =	"""""".join(camel_case_split(lowerCAmelCase		)[:-1]		)

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

					# Build the table per se
					__snake_case          =	"""|""" + """|""".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"

					__snake_case          =	{True: """✅""", False: """❌"""}
					for name in model_names:
										__snake_case          =	model_name_to_prefix[name]
										__snake_case          =	[
										    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       snake_case__	(       lowerCAmelCase   :		Optional[Any]=False		):
					__snake_case      ,      __snake_case      ,      __snake_case      ,      __snake_case          =	_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-->"""				,					)
					__snake_case          =	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__":
		UpperCamelCase__ :    Union[str, Any] 					=							argparse.ArgumentParser()
		parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
		UpperCamelCase__ :    Optional[Any] 					=							parser.parse_args()

		check_model_table(args.fix_and_overwrite)








"""simple docstring"""

from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize
class     A__      (      lowercase_     ):
	A_							:				Tuple						     =      1
	A_							:				Union[str, Any]						     =      2
	A_							:				Union[str, Any]						     =      3




	def __repr__(   self  :	Dict	)					-> Union[str, Any]:
						return f'''{self.__class__.__name__}.{self.name}'''




def       snake_case__	(       lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		int				,					lowerCAmelCase   :		int		):
					__snake_case      ,      __snake_case          =	point
					return degrees(atana(y - miny				,					x - minx		)		)




def       snake_case__	(       lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		tuple[int, int]		):
					__snake_case      ,      __snake_case          =	starting
					__snake_case      ,      __snake_case          =	via
					__snake_case      ,      __snake_case          =	target
					__snake_case          =	degrees(atana(ya - ya				,					xa - xa		)		)
					via_angle %= 360
					__snake_case          =	degrees(atana(ya - ya				,					xa - xa		)		)
					target_angle %= 360
					# t-
					#  \ \
					#   \ v
					#    \|
					#     s
					# via_angle is always lower than target_angle, if direction is left.
					# If they are same, it means they are on a same line of convex hull.
					if target_angle > via_angle:
										return Direction.left
					elif target_angle == via_angle:
										return Direction.straight
					else:
										return Direction.right




def       snake_case__	(       lowerCAmelCase   :		list[tuple[int, int]]		):

					if len(lowerCAmelCase		) <= 2:
										# There is no convex hull
										raise ValueError("""graham_scan: argument must contain more than 3 points."""		)
					if len(lowerCAmelCase		) == 3:
										return points
					# find the lowest and the most left point
					__snake_case          =	0
					__snake_case      ,      __snake_case          =	maxsize, maxsize
					for i, point in enumerate(lowerCAmelCase		):
										__snake_case          =	point[0]
										__snake_case          =	point[1]
										if y < miny:
															__snake_case          =	y
															__snake_case          =	x
															__snake_case          =	i
										if y == miny and x < minx:
															__snake_case          =	x
															__snake_case          =	i

    # remove the lowest and the most left point from points for preparing for sort
					points.pop(lowerCAmelCase		)

					__snake_case          =	sorted(lowerCAmelCase				,					key=lambda lowerCAmelCase		: angle_comparer(lowerCAmelCase				,					lowerCAmelCase				,					lowerCAmelCase		)		)
					# This insert actually costs complexity,
					# and you should instead add (minx, miny) into stack later.
					# I'm using insert just for easy understanding.
					sorted_points.insert(0				,					(minx, miny)		)

					__snake_case          =	deque()
					stack.append(sorted_points[0]		)
					stack.append(sorted_points[1]		)
					stack.append(sorted_points[2]		)
					# In any ways, the first 3 points line are towards left.
					# Because we sort them the angle from minx, miny.
					__snake_case          =	Direction.left

					for i in range(3				,					len(lowerCAmelCase		)		):
										while True:
															__snake_case          =	stack[-2]
															__snake_case          =	stack[-1]
															__snake_case          =	sorted_points[i]
															__snake_case          =	check_direction(lowerCAmelCase				,					lowerCAmelCase				,					lowerCAmelCase		)

															if next_direction == Direction.left:
																				__snake_case          =	Direction.left
																				break
															if next_direction == Direction.straight:
																				if current_direction == Direction.left:
																									# We keep current_direction as left.
																									# Because if the straight line keeps as straight,
																									# we want to know if this straight line is towards left.
																									break
																				elif current_direction == Direction.right:
																									# If the straight line is towards right,
																									# every previous points on those straigh line is not convex hull.
																									stack.pop()
															if next_direction == Direction.right:
																				stack.pop()
										stack.append(sorted_points[i]		)
					return list(lowerCAmelCase		)


