




from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


lowercase_								=     {
    "susnato/ernie-m-base_pytorch": "https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json",
    "susnato/ernie-m-large_pytorch": "https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json",
}
class 				_snake_case			(					__lowerCAmelCase):
				UpperCamelCase__				:					Any     		="ernie_m"
				UpperCamelCase__				:					Dict[str, str]     		={"dropout": "classifier_dropout", "num_classes": "num_labels"}




				def __init__(						self					:						Optional[int],					__lowercase					:						int = 25_0002,					__lowercase					:						int = 768,					__lowercase					:						int = 12,					__lowercase					:						int = 12,					__lowercase					:						int = 3072,					__lowercase					:						str = "gelu",					__lowercase					:						float = 0.1,					__lowercase					:						float = 0.1,					__lowercase					:						int = 514,					__lowercase					:						float = 0.02,					__lowercase					:						int = 1,					__lowercase					:						float = 1e-0_5,					__lowercase					:						List[str]=None,					__lowercase					:						List[Any]=False,					__lowercase					:						Dict=0.0,					**__lowercase					:						Optional[Any],					):
							super().__init__(pad_token_id=lowerCamelCase__,					**lowerCamelCase__						)
							lowercase__					  =				vocab_size
							lowercase__					  =				hidden_size
							lowercase__					  =				num_hidden_layers
							lowercase__					  =				num_attention_heads
							lowercase__					  =				intermediate_size
							lowercase__					  =				hidden_act
							lowercase__					  =				hidden_dropout_prob
							lowercase__					  =				attention_probs_dropout_prob
							lowercase__					  =				max_position_embeddings
							lowercase__					  =				initializer_range
							lowercase__					  =				layer_norm_eps
							lowercase__					  =				classifier_dropout
							lowercase__					  =				is_decoder
							lowercase__					  =				act_dropout









import re
from pathlib import Path
from unittest import TestCase

import pytest
@pytest.mark.integration
class 				_snake_case			(					lowercase__):




				def 							A__      (						self					:						Optional[Any],					__lowercase					:						str						):

							with open(__lowercase,					encoding="utf-8"						) as input_file:
										lowercase__					  =				re.compile(R"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"						)
										lowercase__					  =				input_file.read()
										lowercase__					  =				regexp.search(__lowercase						)

							return match




				def 							A__      (						self					:						str,					__lowercase					:						str						):

							with open(__lowercase,					encoding="utf-8"						) as input_file:
										lowercase__					  =				re.compile(R"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()",					re.DOTALL						)
										lowercase__					  =				input_file.read()
										# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
										lowercase__					  =				regexp.finditer(__lowercase						)

							lowercase__					  =				[match for match in matches if match is not None and match.group(1						) is not None]
							return matches[0] if matches else None




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				Path("./datasets"						)
							lowercase__					  =				list(dataset_paths.absolute().glob("**/*.py"						)						)

							for dataset in dataset_files:
										if self._no_encoding_on_file_open(str(__lowercase						)						):
													raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''						)




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				Path("./datasets"						)
							lowercase__					  =				list(dataset_paths.absolute().glob("**/*.py"						)						)

							for dataset in dataset_files:
										if self._no_print_statements(str(__lowercase						)						):
													raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''						)




