



a_						:     int	     =		'Tobias Carryer'

from time import time





class    lowerCamelCase__  :
     """simple docstring"""



     def __init__(self				,			__a				,			__a				,			__a				,			__a=int(time()    )    ):  # noqa: B008






           '''simple docstring'''



           lowerCamelCase								=		multiplier
           lowerCamelCase								=		increment
           lowerCamelCase								=		modulo
           lowerCamelCase								=		seed







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		(self.multiplier * self.seed + self.increment) % self.modulo
           return self.seed


if __name__ == "__main__":
     # Show the LCG in action.
     a_						:     Union[str, Any]	     =		LinearCongruentialGenerator(1_6_6_4_5_2_5, 1_0_1_3_9_0_4_2_2_3, 2 << 3_1)
     while True:
          print(lcg.next_number())




# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_						:     Tuple	     =		{
    'configuration_xmod': [
        'XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XmodConfig',
        'XmodOnnxConfig',
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     a_						:     List[Any]	     =		[
         'XMOD_PRETRAINED_MODEL_ARCHIVE_LIST',
         'XmodForCausalLM',
         'XmodForMaskedLM',
         'XmodForMultipleChoice',
         'XmodForQuestionAnswering',
         'XmodForSequenceClassification',
         'XmodForTokenClassification',
         'XmodModel',
         'XmodPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_xmod import (
              XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
              XmodForCausalLM,
              XmodForMaskedLM,
              XmodForMultipleChoice,
              XmodForQuestionAnswering,
              XmodForSequenceClassification,
              XmodForTokenClassification,
              XmodModel,
              XmodPreTrainedModel,
          )

else:
     import sys

     a_						:     str	     =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)