




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate


@dataclass(frozen=UpperCAmelCase__					)
class     UpperCamelCase_   (			UpperCAmelCase__					):

    '''simple docstring'''






    UpperCAmelCase__							  =				field(default='''audio-classification'''		, metadata={'''include_in_asdict_even_if_is_default''': True}					)
    UpperCAmelCase__							  =				Features({'''audio''': Audio()}					)
    UpperCAmelCase__							  =				Features({'''labels''': ClassLabel}					)
    UpperCAmelCase__							  =				"audio"
    UpperCAmelCase__							  =				"labels"


    def 	SCREAMING_SNAKE_CASE							(      self				:     str ,			UpperCAmelCase__				:     Dict)						->str:





           '''simple docstring'''

           if self.label_column not in features:
                  raise ValueError(f"""Column {self.label_column} is not present in features.""")
           if not isinstance(features[self.label_column] ,			UpperCAmelCase__):
                  raise ValueError(f"""Column {self.label_column} is not a ClassLabel.""")
           A__							=   copy.deepcopy(self)
           A__							=   self.label_schema.copy()
           A__							=   features[self.label_column]
           A__							=   label_schema
           return task_template





    @property
    def 	SCREAMING_SNAKE_CASE							(      self				:     Dict)						->Dict[str, str]:





           '''simple docstring'''

           return {
               self.audio_column: "audio",
               self.label_column: "labels",
           }








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     UpperCamelCase_   (			unittest.TestCase					):

    '''simple docstring'''






    def 	SCREAMING_SNAKE_CASE							(      self				:     Dict)						->Tuple:





           '''simple docstring'''

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

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

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


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->str:





           '''simple docstring'''

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

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


    def 	SCREAMING_SNAKE_CASE							(      self				:     Any)						->str:





           '''simple docstring'''

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

           A__							=   DisjunctiveConstraint(UpperCAmelCase__)

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

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

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





    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any])						->Tuple:





           '''simple docstring'''

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

           A__							=   DisjunctiveConstraint(UpperCAmelCase__)

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

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

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

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

           dc.reset()

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

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

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


