


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 		snake_case_	(			self: Any,A_: Any					):






            '''simple docstring'''




            __UpperCamelCase =			3
            __UpperCamelCase =			250

            __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: List[str]					):






            '''simple docstring'''




            __UpperCamelCase,    __UpperCamelCase =			self._get_tensors(5					)

            __UpperCamelCase =			StoppingCriteriaList(
                [
                    MaxLengthCriteria(max_length=10					),
                    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(10					)
            self.assertTrue(criteria(A_,A_					)					)







       def 		snake_case_	(			self: Optional[int]					):






            '''simple docstring'''




            __UpperCamelCase =			MaxLengthCriteria(max_length=10					)

            __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(10					)
            self.assertTrue(criteria(A_,A_					)					)







       def 		snake_case_	(			self: List[str]					):






            '''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(10					)
            self.assertTrue(criteria(A_,A_					)					)

            __UpperCamelCase =			StoppingCriteriaList([criteria]					)
            self.assertEqual(criteria_list.max_length,10					)







       def 		snake_case_	(			self: Dict					):






            '''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: Optional[Any]					):






            '''simple docstring'''




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

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

            __UpperCamelCase =			validate_stopping_criteria(StoppingCriteriaList(),11					)

            self.assertEqual(len(A_					),1					)








'''simple docstring'''







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      List[Any]        =			FileLock(str(tmpdir / """foo.lock"""				)				)
     snake_case			:      str        =			FileLock(str(tmpdir / """foo.lock"""				)				)
     snake_case			:      Any        =			0.01
     with locka.acquire():
          with pytest.raises(__lowercase				):
               snake_case			:      Union[str, Any]        =			time.time()
               locka.acquire(__lowercase				)
               assert time.time() - _start > timeout







def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      List[Any]        =			"""a""" * 1_000 + """.lock"""
     snake_case			:      List[str]        =			FileLock(str(tmpdir / filename				)				)
     assert locka._lock_file.endswith(""".lock"""				)
     assert not locka._lock_file.endswith(__lowercase				)
     assert len(os.path.basename(locka._lock_file				)				) <= 255
     snake_case			:      Any        =			FileLock(tmpdir / filename				)
     with locka.acquire():
          with pytest.raises(__lowercase				):
               locka.acquire(0				)



