

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        a__       (   unittest.TestCase       ):







  """simple docstring"""




  def  _lowercase      (			self    : int				,				UpperCAmelCase__    : Dict		)					->int:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[Any]       =   3
        SCREAMING_SNAKE_CASE :      Optional[Any]       =   2_5_0

        SCREAMING_SNAKE_CASE :      List[Any]       =   ids_tensor((batch_size, length)				,				UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   torch.ones((batch_size, length)				,				device=UpperCAmelCase__				,				dtype=torch.float		) / length
        return input_ids, scores


  def  _lowercase      (			self    : Union[str, Any]		)					->Dict:
        """simple docstring"""







        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Optional[Any]       =   self._get_tensors(5		)

        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   StoppingCriteriaList(
            [
                MaxLengthCriteria(max_length=1_0		),
                MaxTimeCriteria(max_time=0.1		),
            ]		)

        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Any       =   self._get_tensors(9		)
        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Dict       =   self._get_tensors(1_0		)
        self.assertTrue(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)


  def  _lowercase      (			self    : Optional[Any]		)					->Any:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      str       =   MaxLengthCriteria(max_length=1_0		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Optional[int]       =   self._get_tensors(5		)
        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Union[str, Any]       =   self._get_tensors(9		)
        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Dict       =   self._get_tensors(1_0		)
        self.assertTrue(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)


  def  _lowercase      (			self    : int		)					->Dict:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Dict       =   MaxNewTokensCriteria(start_length=5				,				max_new_tokens=5		)

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

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Tuple       =   self._get_tensors(9		)
        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Optional[int]       =   self._get_tensors(1_0		)
        self.assertTrue(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE :      Optional[Any]       =   StoppingCriteriaList([criteria]		)
        self.assertEqual(criteria_list.max_length				,				1_0		)


  def  _lowercase      (			self    : Dict		)					->Tuple:
        """simple docstring"""







        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      str       =   self._get_tensors(5		)

        SCREAMING_SNAKE_CASE :      List[str]       =   MaxTimeCriteria(max_time=0.1		)
        self.assertFalse(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        SCREAMING_SNAKE_CASE :      int       =   MaxTimeCriteria(max_time=0.1				,				initial_timestamp=time.time() - 0.2		)
        self.assertTrue(criteria(UpperCAmelCase__				,				UpperCAmelCase__		)		)




  def  _lowercase      (			self    : List[Any]		)					->Optional[Any]:
        """simple docstring"""







        validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0		)]		)				,				1_0		)

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

        SCREAMING_SNAKE_CASE :      Dict       =   validate_stopping_criteria(StoppingCriteriaList()				,				1_1		)

        self.assertEqual(len(UpperCAmelCase__		)				,				1		)







from math import ceil






def 					__lowercase      (     _A = 1001			)     ->						int:
      SCREAMING_SNAKE_CASE :      Union[str, Any]       =   1

      for i in range(1						,    int(ceil(n / 2.0			)			)			):
            SCREAMING_SNAKE_CASE :      Dict       =   2 * i + 1
            SCREAMING_SNAKE_CASE :      Optional[int]       =   2 * i
            SCREAMING_SNAKE_CASE :      str       =   total + 4 * odd**2 - 6 * even

      return total


if __name__ == "__main__":
  import sys

  if len(sys.argv) == 1:
    print(solution())
  else:
    try:
      UpperCAmelCase__ :     str				    =    int(sys.argv[1])
      print(solution(n))
    except ValueError:
      print("""Invalid entry - please enter a number""")




