


"""simple docstring"""



import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
  import torch

  from transformers.generation import (
      MaxLengthCriteria,
      MaxNewTokensCriteria,
      MaxTimeCriteria,
      StoppingCriteriaList,
      validate_stopping_criteria,
  )







@require_torch
class _lowerCAmelCase       (   unittest.TestCase			):







   def 				lowerCamelCase	(			self		,			UpperCamelCase__		)			->	Optional[Any]:

       '''simple docstring'''




       snake_case					:   List[Any]         =					3
       snake_case					:   List[str]         =					250

       snake_case					:   Any         =					ids_tensor((batch_size, length)		,			UpperCamelCase__		)
       snake_case					:   Tuple         =					torch.ones((batch_size, length)		,			device=UpperCamelCase__		,			dtype=torch.float		) / length
       return input_ids, scores







   def 				lowerCamelCase	(			self		)			->	Optional[Any]:

       '''simple docstring'''




       snake_case					:   int         =					self._get_tensors(5		)

       snake_case					:   int         =					StoppingCriteriaList(
           [
               MaxLengthCriteria(max_length=10		),
               MaxTimeCriteria(max_time=0.1		),
           ]		)

       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   Dict         =					self._get_tensors(9		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   int         =					self._get_tensors(10		)
       self.assertTrue(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)







   def 				lowerCamelCase	(			self		)			->	List[Any]:

       '''simple docstring'''




       snake_case					:   int         =					MaxLengthCriteria(max_length=10		)

       snake_case					:   Dict         =					self._get_tensors(5		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   Tuple         =					self._get_tensors(9		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   int         =					self._get_tensors(10		)
       self.assertTrue(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)







   def 				lowerCamelCase	(			self		)			->	Optional[Any]:

       '''simple docstring'''




       snake_case					:   Optional[int]         =					MaxNewTokensCriteria(start_length=5		,			max_new_tokens=5		)

       snake_case					:   Union[str, Any]         =					self._get_tensors(5		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   Any         =					self._get_tensors(9		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   str         =					self._get_tensors(10		)
       self.assertTrue(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   List[str]         =					StoppingCriteriaList([criteria]		)
       self.assertEqual(criteria_list.max_length		,			10		)







   def 				lowerCamelCase	(			self		)			->	int:

       '''simple docstring'''




       snake_case					:   List[Any]         =					self._get_tensors(5		)

       snake_case					:   Union[str, Any]         =					MaxTimeCriteria(max_time=0.1		)
       self.assertFalse(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)

       snake_case					:   Optional[int]         =					MaxTimeCriteria(max_time=0.1		,			initial_timestamp=time.time() - 0.2		)
       self.assertTrue(criteria(UpperCamelCase__		,			UpperCamelCase__		)		)







   def 				lowerCamelCase	(			self		)			->	Dict:

       '''simple docstring'''




       validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10		)]		)		,			10		)

       with self.assertWarns(UpperCamelCase__		):
           validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10		)]		)		,			11		)

       snake_case					:   Optional[int]         =					validate_stopping_criteria(StoppingCriteriaList()		,			11		)

       self.assertEqual(len(UpperCamelCase__		)		,			1		)









"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


__snake_case         =					logging.get_logger(__name__)

__snake_case         =					{
    """facebook/xmod-base""": """https://huggingface.co/facebook/xmod-base/resolve/main/config.json""",
    """facebook/xmod-large-prenorm""": """https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json""",
    """facebook/xmod-base-13-125k""": """https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-125k""": """https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-195k""": """https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json""",
    """facebook/xmod-base-60-125k""": """https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json""",
    """facebook/xmod-base-60-265k""": """https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json""",
    """facebook/xmod-base-75-125k""": """https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json""",
    """facebook/xmod-base-75-269k""": """https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json""",
}







class _lowerCAmelCase       (   snake_case_			):
   __UpperCAmelCase				: Union[str, Any]													=						'''xmod'''







   def __init__(			self		,			UpperCamelCase__=3_0522		,			UpperCamelCase__=768		,			UpperCamelCase__=12		,			UpperCamelCase__=12		,			UpperCamelCase__=3072		,			UpperCamelCase__="gelu"		,			UpperCamelCase__=0.1		,			UpperCamelCase__=0.1		,			UpperCamelCase__=512		,			UpperCamelCase__=2		,			UpperCamelCase__=0.02		,			UpperCamelCase__=1e-12		,			UpperCamelCase__=1		,			UpperCamelCase__=0		,			UpperCamelCase__=2		,			UpperCamelCase__="absolute"		,			UpperCamelCase__=True		,			UpperCamelCase__=None		,			UpperCamelCase__=False		,			UpperCamelCase__=2		,			UpperCamelCase__=False		,			UpperCamelCase__=True		,			UpperCamelCase__=True		,			UpperCamelCase__=("en_XX",)		,			UpperCamelCase__=None		,			**UpperCamelCase__		,			)			->	List[str]:

       '''simple docstring'''




       super().__init__(pad_token_id=UpperCamelCase__		,			bos_token_id=UpperCamelCase__		,			eos_token_id=UpperCamelCase__		,			**UpperCamelCase__		)

       snake_case					:   Optional[int]         =					vocab_size
       snake_case					:   Optional[Any]         =					hidden_size
       snake_case					:   Union[str, Any]         =					num_hidden_layers
       snake_case					:   int         =					num_attention_heads
       snake_case					:   Dict         =					hidden_act
       snake_case					:   Union[str, Any]         =					intermediate_size
       snake_case					:   str         =					hidden_dropout_prob
       snake_case					:   List[str]         =					attention_probs_dropout_prob
       snake_case					:   Dict         =					max_position_embeddings
       snake_case					:   Union[str, Any]         =					type_vocab_size
       snake_case					:   Union[str, Any]         =					initializer_range
       snake_case					:   str         =					layer_norm_eps
       snake_case					:   Dict         =					position_embedding_type
       snake_case					:   Any         =					use_cache
       snake_case					:   str         =					classifier_dropout
       snake_case					:   Any         =					pre_norm
       snake_case					:   Union[str, Any]         =					adapter_reduction_factor
       snake_case					:   Optional[int]         =					adapter_layer_norm
       snake_case					:   int         =					adapter_reuse_layer_norm
       snake_case					:   List[Any]         =					ln_before_adapter
       snake_case					:   Tuple         =					list(UpperCamelCase__		)
       snake_case					:   Tuple         =					default_language







class _lowerCAmelCase       (   snake_case_			):







   @property
   def 				lowerCamelCase	(			self		)			->	Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




       if self.task == "multiple-choice":
           snake_case					:   str         =					{0: "batch", 1: "choice", 2: "sequence"}
       else:
           snake_case					:   Tuple         =					{0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("input_ids", dynamic_axis),
               ("attention_mask", dynamic_axis),
           ]		)





