

'''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 							lowercase_						(		unittest.TestCase			):

  '''simple docstring'''





  def     snake_case_      (  self ,			a_  )				->					List[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						3
    UpperCAmelCase    				=						2_5_0

    UpperCAmelCase    				=						ids_tensor((batch_size, length) ,			a_  )
    UpperCAmelCase    				=						torch.ones((batch_size, length) ,			device=a_ ,			dtype=torch.float  ) / length
    return input_ids, scores
  def     snake_case_      (  self  )				->					Optional[Any]:


    """simple docstring"""
    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(5  )

    UpperCAmelCase    				=						StoppingCriteriaList(
        [
            MaxLengthCriteria(max_length=1_0  ),
            MaxTimeCriteria(max_time=0.1  ),
        ]  )

    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(9  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(1_0  )
    self.assertTrue(criteria(a_ ,			a_  )  )
  def     snake_case_      (  self  )				->					str:


    """simple docstring"""
    UpperCAmelCase    				=						MaxLengthCriteria(max_length=1_0  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(5  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(9  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(1_0  )
    self.assertTrue(criteria(a_ ,			a_  )  )
  def     snake_case_      (  self  )				->					Optional[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						MaxNewTokensCriteria(start_length=5 ,			max_new_tokens=5  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(5  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(9  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(1_0  )
    self.assertTrue(criteria(a_ ,			a_  )  )

    UpperCAmelCase    				=						StoppingCriteriaList([criteria]  )
    self.assertEqual(criteria_list.max_length ,			1_0  )
  def     snake_case_      (  self  )				->					Union[str, Any]:


    """simple docstring"""
    UpperCAmelCase				,   UpperCAmelCase    				=						self._get_tensors(5  )

    UpperCAmelCase    				=						MaxTimeCriteria(max_time=0.1  )
    self.assertFalse(criteria(a_ ,			a_  )  )

    UpperCAmelCase    				=						MaxTimeCriteria(max_time=0.1 ,			initial_timestamp=time.time() - 0.2  )
    self.assertTrue(criteria(a_ ,			a_  )  )





  def     snake_case_      (  self  )				->					Dict:


    """simple docstring"""
    validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0  )]  ) ,			1_0  )

    with self.assertWarns(a_  ):
      validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0  )]  ) ,			1_1  )

    UpperCAmelCase    				=						validate_stopping_criteria(StoppingCriteriaList() ,			1_1  )

    self.assertEqual(len(a_  ) ,			1  )





'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : List[Any]							, SCREAMING_SNAKE_CASE   : Union[str, Any]    ):
  # "extended trapezoidal rule"
  # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
  UpperCAmelCase    				=						(boundary[1] - boundary[0]) / steps
  UpperCAmelCase    				=						boundary[0]
  UpperCAmelCase    				=						boundary[1]
  UpperCAmelCase    				=						make_points(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  UpperCAmelCase    				=						0.0
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  for i in x_i:
    # print(i)
    y += h * f(SCREAMING_SNAKE_CASE    )
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  return y


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Tuple							, SCREAMING_SNAKE_CASE   : Dict							, SCREAMING_SNAKE_CASE   : Tuple    ):
  UpperCAmelCase    				=						a + h
  while x < (b - h):
    yield x
    UpperCAmelCase    				=						x + h


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Optional[Any]    ):  # enter your function here
  UpperCAmelCase    				=						(x - 0) * (x - 0)
  return y


def    lowerCamelCase__		(    ):
  UpperCAmelCase    				=						0.0  # Lower bound of integration
  UpperCAmelCase    				=						1.0  # Upper bound of integration
  UpperCAmelCase    				=						10.0  # define number of steps or resolution
  UpperCAmelCase    				=						[a, b]  # define boundary of integration
  UpperCAmelCase    				=						method_a(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  print(f'''y = {y}'''    )


if __name__ == "__main__":
  main()


