




"""simple docstring"""







from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


__A   :  List[str]					=					logging.get_logger(__name__)

__A   :  List[str]					=					{
    """t5-small""": """https://huggingface.co/t5-small/resolve/main/config.json""",
    """t5-base""": """https://huggingface.co/t5-base/resolve/main/config.json""",
    """t5-large""": """https://huggingface.co/t5-large/resolve/main/config.json""",
    """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/config.json""",
    """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/config.json""",
}




class       lowerCAmelCase__       (			_a    ):


				"""simple docstring"""





				__UpperCAmelCase :     Union[str, Any]       =      """t5"""
				__UpperCAmelCase :     str       =      ["""past_key_values"""]
				__UpperCAmelCase :     Dict       =      {"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}



				def __init__(     self					:	int    ,   lowercase__					:	Union[str, Any]=3_2_1_2_8    ,   lowercase__					:	str=5_1_2    ,   lowercase__					:	Dict=6_4    ,   lowercase__					:	Dict=2_0_4_8    ,   lowercase__					:	Tuple=6    ,   lowercase__					:	Optional[int]=None    ,   lowercase__					:	List[str]=8    ,   lowercase__					:	Dict=3_2    ,   lowercase__					:	Optional[int]=1_2_8    ,   lowercase__					:	List[str]=0.1    ,   lowercase__					:	str=1e-6    ,   lowercase__					:	Union[str, Any]=1.0    ,   lowercase__					:	List[Any]="relu"    ,   lowercase__					:	List[Any]=True    ,   lowercase__					:	str=True    ,   lowercase__					:	str=0    ,   lowercase__					:	Dict=1    ,   **lowercase__					:	Optional[int]    ,   ):
						__lowercase				:		Optional[int]												=				vocab_size
						__lowercase				:		List[Any]												=				d_model
						__lowercase				:		Optional[int]												=				d_kv
						__lowercase				:		List[Any]												=				d_ff
						__lowercase				:		Optional[int]												=				num_layers
						__lowercase				:		int												=				(
						    num_decoder_layers if num_decoder_layers is not None else self.num_layers
						)  # default = symmetry
						__lowercase				:		Optional[int]												=				num_heads
						__lowercase				:		Dict												=				relative_attention_num_buckets
						__lowercase				:		Any												=				relative_attention_max_distance
						__lowercase				:		Tuple												=				dropout_rate
						__lowercase				:		Optional[Any]												=				layer_norm_epsilon
						__lowercase				:		List[str]												=				initializer_factor
						__lowercase				:		Any												=				feed_forward_proj
						__lowercase				:		Union[str, Any]												=				use_cache

						__lowercase				:		List[str]												=				self.feed_forward_proj.split("-"						)
						__lowercase				:		Any												=				act_info[-1]
						__lowercase				:		Union[str, Any]												=				act_info[0] == "gated"

						if len(snake_case_						) > 1 and act_info[0] != "gated" or len(snake_case_						) > 2:
								raise ValueError(
								    f'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
								    "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
								    "\'gated-gelu\' or \'relu\'"						)

						# for backwards compatibility
						if feed_forward_proj == "gated-gelu":
								__lowercase				:		Any												=				"gelu_new"

						super().__init__(
						    pad_token_id=snake_case_    ,   eos_token_id=snake_case_    ,   is_encoder_decoder=snake_case_    ,   **snake_case_    ,   )





class       lowerCAmelCase__       (			_a    ):


				"""simple docstring"""





				@property
				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		str												=				{
						    "input_ids": {0: "batch", 1: "encoder_sequence"},
						    "attention_mask": {0: "batch", 1: "encoder_sequence"},
						}
						if self.use_past:
								__lowercase				:		List[str]												=				"past_encoder_sequence + sequence"
								__lowercase				:		Any												=				{0: "batch"}
								__lowercase				:		Any												=				{0: "batch", 1: "past_decoder_sequence + sequence"}
						else:
								__lowercase				:		str												=				{0: "batch", 1: "decoder_sequence"}
								__lowercase				:		Union[str, Any]												=				{0: "batch", 1: "decoder_sequence"}

						if self.use_past:
								self.fill_with_past_key_values_(snake_case_    ,   direction="inputs"						)

						return common_inputs



				@property
				def       snake_case    (     self					:	Any						):
						return 1_3






"""simple docstring"""







import argparse
from collections import defaultdict

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				)			->List[str]:






		"""simple docstring"""


		__lowercase				:		Tuple												=				F'{file}_{class_name}_{test_name}'
		done_test[_id] += 1

		with open(_lowerCamelCase,  "r"				) as f:
				__lowercase				:		Union[str, Any]												=				f.readlines()

		__lowercase				:		str												=				F'class {class_name}('
		__lowercase				:		Union[str, Any]												=				F'{4 * " "}def {test_name}('
		__lowercase				:		List[Any]												=				F'{8 * " "}{correct_line.split()[0]}'
		__lowercase				:		Optional[int]												=				F'{16 * " "}{correct_line.split()[0]}'
		__lowercase				:		List[Any]												=				False
		__lowercase				:		int												=				False
		__lowercase				:		int												=				False
		__lowercase				:		List[Any]												=				False
		__lowercase				:		str												=				0
		__lowercase				:		Dict												=				0

		__lowercase				:		Optional[int]												=				[]
		for line in lines:
				if line.startswith(_lowerCamelCase				):
						__lowercase				:		Optional[int]												=				True
				elif in_class and line.startswith(_lowerCamelCase				):
						__lowercase				:		Optional[int]												=				True
				elif in_class and in_func and (line.startswith(_lowerCamelCase				) or line.startswith(_lowerCamelCase				)):
						__lowercase				:		int												=				len(line.split(correct_line.split()[0]				)[0]				)
						count += 1

						if count == done_test[_id]:
								__lowercase				:		Any												=				True

				if in_class and in_func and in_line:
						if ")" not in line:
								continue
						else:
								__lowercase				:		int												=				True

				if in_class and in_func and in_line and insert_line:
						new_lines.append(F'{spaces * " "}{correct_line}'				)
						__lowercase				:		List[Any]												=				False
				else:
						new_lines.append(_lowerCamelCase				)

		with open(_lowerCamelCase,  "w"				) as f:
				for line in new_lines:
						f.write(_lowerCamelCase				)

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase=None				)			->List[Any]:






		"""simple docstring"""


		if fail is not None:
				with open(_lowerCamelCase,  "r"				) as f:
						__lowercase				:		str												=				{l.strip() for l in f.readlines()}
		else:
				__lowercase				:		List[Any]												=				None

		with open(_lowerCamelCase,  "r"				) as f:
				__lowercase				:		str												=				f.readlines()

		__lowercase				:		List[str]												=				defaultdict(_lowerCamelCase				)
		for line in correct_lines:
				__lowercase						,__lowercase						,__lowercase						,__lowercase				:		str												=				line.split(";"				)
				if test_failures is None or "::".join([file, class_name, test_name]				) in test_failures:
						overwrite_file(_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				)


if __name__ == "__main__":
						__A   :  str					=      argparse.ArgumentParser()
						parser.add_argument('--correct_filename', help='filename of tests with expected result')
						parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
						__A   :  Union[str, Any]					=      parser.parse_args()

						main(args.correct_filename, args.fail_filename)
