





"""simple docstring"""
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
       import torch

       from transformers.generation import DisjunctiveConstraint







@require_torch
class       a							(   unittest.TestCase  ):



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= [[1, 2, 4], [1, 2, 3, 4]]
  lowerCAmelCase    				= DisjunctiveConstraint(_snake_case     )
  self.assertTrue(isinstance(dc.token_ids				,       _snake_case     )     )

  with self.assertRaises(_snake_case     ):
   DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]     )     )

  with self.assertRaises(_snake_case     ):
   DisjunctiveConstraint([torch.LongTensor([1, 2, 4]     ), torch.LongTensor([1, 2, 3, 4, 5]     )]     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= [[1, 2], [1, 2, 3, 4]]

  with self.assertRaises(_snake_case     ):
   DisjunctiveConstraint(_snake_case     )  # fails here



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= [[1, 2, 3], [1, 2, 4]]

  lowerCAmelCase    				= DisjunctiveConstraint(_snake_case     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(1     )
  lowerCAmelCase    				= stepped is True and completed is False and reset is False
  self.assertTrue(_snake_case     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.current_seq == [1]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(2     )
  lowerCAmelCase    				= stepped is True and completed is False and reset is False
  self.assertTrue(_snake_case     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.current_seq == [1, 2]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(3     )
  lowerCAmelCase    				= stepped is True and completed is True and reset is False
  self.assertTrue(_snake_case     )
  self.assertTrue(dc.completed     )  # Completed!
  self.assertTrue(dc.current_seq == [1, 2, 3]     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

  lowerCAmelCase    				= DisjunctiveConstraint(_snake_case     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(1     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.current_seq == [1]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(2     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.current_seq == [1, 2]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(4     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.current_seq == [1, 2, 4]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(5     )
  self.assertTrue(dc.completed     )  # Completed!
  self.assertTrue(dc.current_seq == [1, 2, 4, 5]     )

  dc.reset()

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(1     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.remaining() == 3     )
  self.assertTrue(dc.current_seq == [1]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(2     )
  self.assertTrue(not dc.completed     )
  self.assertTrue(dc.remaining() == 2     )
  self.assertTrue(dc.current_seq == [1, 2]     )

  lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= dc.update(5     )
  self.assertTrue(dc.completed     )  # Completed!
  self.assertTrue(dc.remaining() == 0     )
  self.assertTrue(dc.current_seq == [1, 2, 5]     )












"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

__UpperCamelCase     :						Tuple						       =  {
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}







class       a							(   a__  ):
 snake_case__             =       '''glpn'''



 def __init__(     self				,       _snake_case=3				,       _snake_case=4				,       _snake_case=[2, 2, 2, 2]				,       _snake_case=[8, 4, 2, 1]				,       _snake_case=[32, 64, 1_60, 2_56]				,       _snake_case=[7, 3, 3, 3]				,       _snake_case=[4, 2, 2, 2]				,       _snake_case=[1, 2, 5, 8]				,       _snake_case=[4, 4, 4, 4]				,       _snake_case="gelu"				,       _snake_case=0.0				,       _snake_case=0.0				,       _snake_case=0.02				,       _snake_case=0.1				,       _snake_case=1E-6				,       _snake_case=64				,       _snake_case=10				,       _snake_case=-1				,       **_snake_case				,       ):







  """simple docstring"""






  super().__init__(**_snake_case     )

  lowerCAmelCase    				= num_channels
  lowerCAmelCase    				= num_encoder_blocks
  lowerCAmelCase    				= depths
  lowerCAmelCase    				= sr_ratios
  lowerCAmelCase    				= hidden_sizes
  lowerCAmelCase    				= patch_sizes
  lowerCAmelCase    				= strides
  lowerCAmelCase    				= mlp_ratios
  lowerCAmelCase    				= num_attention_heads
  lowerCAmelCase    				= hidden_act
  lowerCAmelCase    				= hidden_dropout_prob
  lowerCAmelCase    				= attention_probs_dropout_prob
  lowerCAmelCase    				= initializer_range
  lowerCAmelCase    				= drop_path_rate
  lowerCAmelCase    				= layer_norm_eps
  lowerCAmelCase    				= decoder_hidden_size
  lowerCAmelCase    				= max_depth
  lowerCAmelCase    				= head_in_index





