"""simple docstring"""


import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


a							=importlib.metadata.version('numpy')
a							='.'.join([str(x) for x in sys.version_info[:3]])






class    __UpperCAmelCase						(	__lowerCAmelCase	):

				def 		_a	(      self      ):
										# lt + different version strings
										require_version_core("numpy<1000.4.5"      )
										require_version_core("numpy<1000.4"      )
										require_version_core("numpy<1000"      )

										# le
										require_version_core("numpy<=1000.4.5"      )
										require_version_core(F'''numpy<={numpy_ver}'''      )

										# eq
										require_version_core(F'''numpy=={numpy_ver}'''      )

										# ne
										require_version_core("numpy!=1000.4.5"      )

										# ge
										require_version_core("numpy>=1.0"      )
										require_version_core("numpy>=1.0.0"      )
										require_version_core(F'''numpy>={numpy_ver}'''      )

										# gt
										require_version_core("numpy>1.0.0"      )

										# mix
										require_version_core("numpy>1.0.0,<1000"      )

										# requirement w/o version
										require_version_core("numpy"      )

										# unmet requirements due to version conflict
										for req in ["numpy==1.0.0", "numpy>=1000.0.0", F'''numpy<{numpy_ver}''']:
																try:
																						require_version_core(_lowerCamelCase      )
																except ImportError as e:
																						self.assertIn(F'''{req} is required'''	, str(_lowerCamelCase      )      )
																						self.assertIn("but found"	, str(_lowerCamelCase      )      )

        # unmet requirements due to missing module
										for req in ["numpipypie>1", "numpipypie2"]:
																try:
																						require_version_core(_lowerCamelCase      )
																except importlib.metadata.PackageNotFoundError as e:
																						self.assertIn(F'''The \'{req}\' distribution was not found and is required by this application'''	, str(_lowerCamelCase      )      )
																						self.assertIn("Try: pip install transformers -U"	, str(_lowerCamelCase      )      )

        # bogus requirements formats:
        # 1. whole thing
										for req in ["numpy??1.0.0", "numpy1.0.0"]:
																try:
																						require_version_core(_lowerCamelCase      )
																except ValueError as e:
																						self.assertIn("requirement needs to be in the pip package format"	, str(_lowerCamelCase      )      )
        # 2. only operators
										for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
																try:
																						require_version_core(_lowerCamelCase      )
																except ValueError as e:
																						self.assertIn("need one of "	, str(_lowerCamelCase      )      )






				def 		_a	(      self      ):
										# matching requirement
										require_version("python>=3.6.0"      )

										# not matching requirements
										for req in ["python>9.9.9", "python<3.0.0"]:
																try:
																						require_version_core(_lowerCamelCase      )
																except ImportError as e:
																						self.assertIn(F'''{req} is required'''	, str(_lowerCamelCase      )      )
																						self.assertIn(F'''but found python=={python_ver}'''	, str(_lowerCamelCase      )      )



"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


a							=logging.get_logger(__name__)

a							={
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   Optional[int]  							=       '''mpnet'''

				def __init__(      self	, _lowerCamelCase=30527	, _lowerCamelCase=768	, _lowerCamelCase=12	, _lowerCamelCase=12	, _lowerCamelCase=3072	, _lowerCamelCase="gelu"	, _lowerCamelCase=0.1	, _lowerCamelCase=0.1	, _lowerCamelCase=512	, _lowerCamelCase=0.0_2	, _lowerCamelCase=1E-12	, _lowerCamelCase=32	, _lowerCamelCase=1	, _lowerCamelCase=0	, _lowerCamelCase=2	, **_lowerCamelCase	, ):
										super().__init__(pad_token_id=_lowerCamelCase	, bos_token_id=_lowerCamelCase	, eos_token_id=_lowerCamelCase	, **_lowerCamelCase      )

										lowerCamelCase__					=vocab_size
										lowerCamelCase__					=hidden_size
										lowerCamelCase__					=num_hidden_layers
										lowerCamelCase__					=num_attention_heads
										lowerCamelCase__					=hidden_act
										lowerCamelCase__					=intermediate_size
										lowerCamelCase__					=hidden_dropout_prob
										lowerCamelCase__					=attention_probs_dropout_prob
										lowerCamelCase__					=max_position_embeddings
										lowerCamelCase__					=initializer_range
										lowerCamelCase__					=layer_norm_eps
										lowerCamelCase__					=relative_attention_num_buckets


