




"""simple docstring"""





from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: List[str]		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Any		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: Tuple		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Optional[Any]		=					(1 - _cos) / 2
			__UpperCAmelCase	: Any		=					1 - _cos

			__UpperCAmelCase	: List[str]		=					1 + alpha
			__UpperCAmelCase	: List[Any]		=					-2 * _cos
			__UpperCAmelCase	: Dict		=					1 - alpha

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: int		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[Any]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Dict		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: Tuple		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Dict		=					(1 + _cos) / 2
			__UpperCAmelCase	: Tuple		=					-1 - _cos

			__UpperCAmelCase	: Any		=					1 + alpha
			__UpperCAmelCase	: int		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha

			__UpperCAmelCase	: Union[str, Any]		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Tuple		=					tau * frequency / samplerate
			__UpperCAmelCase	: Tuple		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: List[str]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[Any]		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Any		=					_sin / 2
			__UpperCAmelCase	: Optional[int]		=					0
			__UpperCAmelCase	: int		=					-ba

			__UpperCAmelCase	: Dict		=					1 + alpha
			__UpperCAmelCase	: List[str]		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha

			__UpperCAmelCase	: int		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: str		=					tau * frequency / samplerate
			__UpperCAmelCase	: List[Any]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Any		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[str]		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Optional[Any]		=					1 - alpha
			__UpperCAmelCase	: Tuple		=					-2 * _cos
			__UpperCAmelCase	: List[Any]		=					1 + alpha

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([ba, ba, ba]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Dict		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[Any]		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: List[Any]		=					10 ** (gain_db / 40)

			__UpperCAmelCase	: List[str]		=					1 + alpha * big_a
			__UpperCAmelCase	: Optional[Any]		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha * big_a
			__UpperCAmelCase	: Optional[int]		=					1 + alpha / big_a
			__UpperCAmelCase	: Union[str, Any]		=					-2 * _cos
			__UpperCAmelCase	: Dict		=					1 - alpha / big_a

			__UpperCAmelCase	: Dict		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: str		=					tau * frequency / samplerate
			__UpperCAmelCase	: int		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: str		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: str		=					10 ** (gain_db / 40)
			__UpperCAmelCase	: Union[str, Any]		=					(big_a + 1) - (big_a - 1) * _cos
			__UpperCAmelCase	: Optional[int]		=					(big_a + 1) + (big_a - 1) * _cos
			__UpperCAmelCase	: List[str]		=					(big_a - 1) - (big_a + 1) * _cos
			__UpperCAmelCase	: List[Any]		=					(big_a - 1) + (big_a + 1) * _cos
			__UpperCAmelCase	: Optional[Any]		=					2 * sqrt(UpperCamelCase							) * alpha

			__UpperCAmelCase	: Tuple		=					big_a * (pmc + aaa)
			__UpperCAmelCase	: Union[str, Any]		=					2 * big_a * mpc
			__UpperCAmelCase	: Optional[int]		=					big_a * (pmc - aaa)
			__UpperCAmelCase	: Any		=					ppmc + aaa
			__UpperCAmelCase	: Dict		=					-2 * pmpc
			__UpperCAmelCase	: Any		=					ppmc - aaa

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt





def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Dict		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Dict		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: str		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: int		=					10 ** (gain_db / 40)
			__UpperCAmelCase	: Optional[Any]		=					(big_a + 1) - (big_a - 1) * _cos
			__UpperCAmelCase	: Optional[int]		=					(big_a + 1) + (big_a - 1) * _cos
			__UpperCAmelCase	: Union[str, Any]		=					(big_a - 1) - (big_a + 1) * _cos
			__UpperCAmelCase	: Tuple		=					(big_a - 1) + (big_a + 1) * _cos
			__UpperCAmelCase	: Optional[Any]		=					2 * sqrt(UpperCamelCase							) * alpha

			__UpperCAmelCase	: Tuple		=					big_a * (ppmc + aaa)
			__UpperCAmelCase	: Any		=					-2 * big_a * pmpc
			__UpperCAmelCase	: int		=					big_a * (ppmc - aaa)
			__UpperCAmelCase	: int		=					pmc + aaa
			__UpperCAmelCase	: Tuple		=					2 * mpc
			__UpperCAmelCase	: Union[str, Any]		=					pmc - aaa

			__UpperCAmelCase	: Any		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt








"""simple docstring"""





import argparse
import collections
import os
import re

from transformers.utils import direct_transformers_import


# 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/transformers"""
A   =       """docs/source/en"""
A   =       """."""

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase							)			->			int:


			"""simple docstring"""
			with open(UpperCamelCase				,       "r"				,       encoding="utf-8"				,       newline="\n"							) as f:
						__UpperCAmelCase	: str		=					f.readlines()
			# Find the start prompt.
			__UpperCAmelCase	: Optional[int]		=					0
			while not lines[start_index].startswith(UpperCamelCase							):
						start_index += 1
			start_index += 1

			__UpperCAmelCase	: Union[str, Any]		=					start_index
			while not lines[end_index].startswith(UpperCamelCase							):
						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 transformers module imported is the one in the repo.
A   =       direct_transformers_import(TRANSFORMERS_PATH)

def 					_UpperCamelCase    (			UpperCamelCase							)			->			str:


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

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase							)			->			Dict:


			"""simple docstring"""
			__UpperCAmelCase	: Optional[int]		=					2 if text == "✅" or text == "❌" else len(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					(width - text_length) // 2
			__UpperCAmelCase	: Tuple		=					width - text_length - left_indent
			return " " * left_indent + text + " " * right_indent

def 					_UpperCamelCase    (			)			->			Union[str, Any]:


			"""simple docstring"""
			__UpperCAmelCase	: str		=					transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
			__UpperCAmelCase	: Dict		=					{
			    name: config_maping_names[code]
			    for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
			    if code in config_maping_names
			}
			__UpperCAmelCase	: Tuple		=					{name: config.replace("Config"				,       ""							) 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	: int		=					collections.defaultdict(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					collections.defaultdict(UpperCamelCase							)
			__UpperCAmelCase	: Optional[int]		=					collections.defaultdict(UpperCamelCase							)
			__UpperCAmelCase	: Any		=					collections.defaultdict(UpperCamelCase							)
			__UpperCAmelCase	: str		=					collections.defaultdict(UpperCamelCase							)

			# Let's lookup through all transformers object (once).
			for attr_name in dir(UpperCamelCase							):
						__UpperCAmelCase	: Union[str, Any]		=					None
						if attr_name.endswith("Tokenizer"							):
									__UpperCAmelCase	: int		=					slow_tokenizers
									__UpperCAmelCase	: Optional[Any]		=					attr_name[:-9]
						elif attr_name.endswith("TokenizerFast"							):
									__UpperCAmelCase	: Any		=					fast_tokenizers
									__UpperCAmelCase	: Union[str, Any]		=					attr_name[:-13]
						elif _re_tf_models.match(UpperCamelCase							) is not None:
									__UpperCAmelCase	: Dict		=					tf_models
									__UpperCAmelCase	: List[str]		=					_re_tf_models.match(UpperCamelCase							).groups()[0]
						elif _re_flax_models.match(UpperCamelCase							) is not None:
									__UpperCAmelCase	: List[str]		=					flax_models
									__UpperCAmelCase	: List[str]		=					_re_flax_models.match(UpperCamelCase							).groups()[0]
						elif _re_pt_models.match(UpperCamelCase							) is not None:
									__UpperCAmelCase	: Dict		=					pt_models
									__UpperCAmelCase	: List[str]		=					_re_pt_models.match(UpperCamelCase							).groups()[0]

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

    # Let's build that table!
			__UpperCAmelCase	: List[str]		=					list(model_name_to_config.keys()							)
			model_names.sort(key=str.lower							)
			__UpperCAmelCase	: Optional[Any]		=					["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	: Optional[int]		=					[len(UpperCamelCase							) + 2 for c in columns]
			__UpperCAmelCase	: Tuple		=					max([len(UpperCamelCase							) for name in model_names]							) + 2

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

			__UpperCAmelCase	: Optional[Any]		=					{True: "✅", False: "❌"}
			for name in model_names:
						__UpperCAmelCase	: List[Any]		=					model_name_to_prefix[name]
						__UpperCAmelCase	: int		=					[
						    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(UpperCamelCase				,       UpperCamelCase							) for l, w in zip(UpperCamelCase				,       UpperCamelCase							)]							) + "|\n"
			return table

def 					_UpperCamelCase    (			UpperCamelCase=False							)			->			str:


			"""simple docstring"""
			__UpperCAmelCase	,     __UpperCAmelCase	,     __UpperCAmelCase	,     __UpperCAmelCase	: Union[str, Any]		=					_find_text_in_file(
			    filename=os.path.join(UpperCamelCase				,       "index.md"							)				,       start_prompt="<!--This table is updated automatically from the auto modules"				,       end_prompt="<!-- End table-->"				,       )
			__UpperCAmelCase	: Optional[Any]		=					get_model_table_from_auto_modules()

			if current_table != new_table:
						if overwrite:
									with open(os.path.join(UpperCamelCase				,       "index.md"							)				,       "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.md` 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)


