"""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 				_A		( unittest.TestCase			):

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			3
            lowercase														=			250

            lowercase														=			ids_tensor((batch_size, length)	, __lowerCAmelCase		)
            lowercase														=			torch.ones((batch_size, length)	, device=__lowerCAmelCase	, dtype=torch.float		) / length
            return input_ids, scores

      def        A__ (		self		):







            """simple docstring"""



            lowercase							,							lowercase														=			self._get_tensors(5		)

            lowercase														=			StoppingCriteriaList(
                [
                    MaxLengthCriteria(max_length=10		),
                    MaxTimeCriteria(max_time=0.1		),
                ]		)

            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(9		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(10		)
            self.assertTrue(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			MaxLengthCriteria(max_length=10		)

            lowercase							,							lowercase														=			self._get_tensors(5		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(9		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(10		)
            self.assertTrue(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			MaxNewTokensCriteria(start_length=5	, max_new_tokens=5		)

            lowercase							,							lowercase														=			self._get_tensors(5		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(9		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase							,							lowercase														=			self._get_tensors(10		)
            self.assertTrue(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

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

      def        A__ (		self		):







            """simple docstring"""



            lowercase							,							lowercase														=			self._get_tensors(5		)

            lowercase														=			MaxTimeCriteria(max_time=0.1		)
            self.assertFalse(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)

            lowercase														=			MaxTimeCriteria(max_time=0.1	, initial_timestamp=time.time() - 0.2		)
            self.assertTrue(criteria(__lowerCAmelCase	, __lowerCAmelCase		)		)







      def        A__ (		self		):







            """simple docstring"""



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

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

            lowercase														=			validate_stopping_criteria(StoppingCriteriaList()	, 11		)

            self.assertEqual(len(__lowerCAmelCase		)	, 1		)




"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


__lowerCAmelCase					: List[str]        =logging.get_logger(__name__)





class 				_A		( lowerCAmelCase			):

      def __init__(		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



            warnings.warn(
                """The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
                """ use YolosImageProcessor instead."""	, __lowerCAmelCase	, )
            super().__init__(*__lowerCAmelCase	, **__lowerCAmelCase		)



