






from abc import ABC, abstractmethod
from typing import List, Optional


class 						_a       (  _SCREAMING_SNAKE_CASE    ):






  """simple docstring"""





  def __init__(     self )			-> Optional[Any]:
     self.test()




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     0
     UpperCamelCase_									=     False
     while not completed:
        if counter == 1:
           self.reset()
        UpperCamelCase_									=     self.advance()
        if not self.does_advance(A_ ):
           raise Exception(
               'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.' )

        UpperCamelCase_		,      UpperCamelCase_		,      UpperCamelCase_									=     self.update(A_ )
        counter += 1

        if counter > 10000:
           raise Exception('update() does not fulfill the constraint.' )

     if self.remaining() != 0:
        raise Exception('Custom Constraint is not defined correctly.' )




  @abstractmethod
  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




  @abstractmethod
  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> str:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




  @abstractmethod
  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> int:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




  @abstractmethod
  def    _UpperCAmelCase     (     self )			-> Any:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




  @abstractmethod
  def    _UpperCAmelCase     (     self )			-> str:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




  @abstractmethod
  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase=False )			-> int:
     raise NotImplementedError(
         f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called.""" )




class 						_a       (  _SCREAMING_SNAKE_CASE    ):






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase )			-> Any:
     super(A_		,		self ).__init__()

     if not isinstance(A_		,		A_ ) or len(A_ ) == 0:
        raise ValueError(f"""`token_ids` has to be a non-empty list, but is {token_ids}.""" )
     if any((not isinstance(A_		,		A_ ) or token_id < 0) for token_id in token_ids ):
        raise ValueError(f"""Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.""" )

     UpperCamelCase_									=     token_ids

     UpperCamelCase_									=     len(self.token_ids )
     UpperCamelCase_									=     -1  # the index of the currently fulfilled step
     UpperCamelCase_									=     False




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     if self.completed:
        return None
     return self.token_ids[self.fulfilled_idx + 1]




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Optional[int]:
     if not isinstance(A_		,		A_ ):
        raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(A_ )}""" )

     if self.completed:
        return False

     return token_id == self.token_ids[self.fulfilled_idx + 1]




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Optional[int]:
     if not isinstance(A_		,		A_ ):
        raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(A_ )}""" )

     UpperCamelCase_									=     False
     UpperCamelCase_									=     False
     UpperCamelCase_									=     False

     if self.does_advance(A_ ):
        self.fulfilled_idx += 1
        UpperCamelCase_									=     True
        if self.fulfilled_idx == (self.seqlen - 1):
           UpperCamelCase_									=     True
        UpperCamelCase_									=     completed
     else:
        # failed to make progress.
        UpperCamelCase_									=     True
        self.reset()
     return stepped, completed, reset




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     False
     UpperCamelCase_									=     0




  def    _UpperCAmelCase     (     self )			-> int:
     return self.seqlen - (self.fulfilled_idx + 1)




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase=False )			-> Union[str, Any]:
     UpperCamelCase_									=     PhrasalConstraint(self.token_ids )

     if stateful:
        UpperCamelCase_									=     self.seqlen
        UpperCamelCase_									=     self.fulfilled_idx
        UpperCamelCase_									=     self.completed

     return new_constraint




class 						_a       :






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase		,		_UpperCAmelCase=True )			-> List[Any]:
     UpperCamelCase_									=     max([len(A_ ) for one in nested_token_ids] )

     UpperCamelCase_									=     {}
     for token_ids in nested_token_ids:
        UpperCamelCase_									=     root
        for tidx, token_id in enumerate(A_ ):
           if token_id not in level:
              UpperCamelCase_									=     {}

           UpperCamelCase_									=     level[token_id]

     if no_subsets and self.has_subsets(A_		,		A_ ):
        raise ValueError(
            'Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'
            f""" {nested_token_ids}.""" )

     UpperCamelCase_									=     root




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Optional[Any]:
     UpperCamelCase_									=     self.trie

     for current_token in current_seq:
        UpperCamelCase_									=     start[current_token]

     UpperCamelCase_									=     list(start.keys() )

     return next_tokens




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Union[str, Any]:
     UpperCamelCase_									=     self.next_tokens(A_ )

     return len(A_ ) == 0




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> List[str]:
     UpperCamelCase_									=     list(root.values() )
     if len(A_ ) == 0:
        return 1
     else:
        return sum([self.count_leaves(A_ ) for nn in next_nodes] )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase		,		_UpperCAmelCase )			-> Optional[int]:
     UpperCamelCase_									=     self.count_leaves(A_ )
     return len(A_ ) != leaf_count




class 						_a       (  _SCREAMING_SNAKE_CASE    ):






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase )			-> str:
     super(A_		,		self ).__init__()

     if not isinstance(A_		,		A_ ) or len(A_ ) == 0:
        raise ValueError(f"""`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.""" )
     if any(not isinstance(A_		,		A_ ) for token_ids in nested_token_ids ):
        raise ValueError(f"""`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.""" )
     if any(
         any((not isinstance(A_		,		A_ ) or token_id < 0) for token_id in token_ids )
         for token_ids in nested_token_ids ):
        raise ValueError(
            f"""Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.""" )

     UpperCamelCase_									=     DisjunctiveTrie(A_ )
     UpperCamelCase_									=     nested_token_ids

     UpperCamelCase_									=     self.trie.max_height
     UpperCamelCase_									=     []
     UpperCamelCase_									=     False




  def    _UpperCAmelCase     (     self )			-> Union[str, Any]:
     UpperCamelCase_									=     self.trie.next_tokens(self.current_seq )

     if len(A_ ) == 0:
        return None
     else:
        return token_list




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Optional[Any]:
     if not isinstance(A_		,		A_ ):
        raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_ )}""" )

     UpperCamelCase_									=     self.trie.next_tokens(self.current_seq )

     return token_id in next_tokens




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Optional[Any]:
     if not isinstance(A_		,		A_ ):
        raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_ )}""" )

     UpperCamelCase_									=     False
     UpperCamelCase_									=     False
     UpperCamelCase_									=     False

     if self.does_advance(A_ ):
        self.current_seq.append(A_ )
        UpperCamelCase_									=     True
     else:
        UpperCamelCase_									=     True
        self.reset()

     UpperCamelCase_									=     self.trie.reached_leaf(self.current_seq )
     UpperCamelCase_									=     completed

     return stepped, completed, reset




  def    _UpperCAmelCase     (     self )			-> str:
     UpperCamelCase_									=     False
     UpperCamelCase_									=     []




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     if self.completed:
        # since this can be completed without reaching max height
        return 0
     else:
        return self.seqlen - len(self.current_seq )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase=False )			-> int:
     UpperCamelCase_									=     DisjunctiveConstraint(self.token_ids )

     if stateful:
        UpperCamelCase_									=     self.seqlen
        UpperCamelCase_									=     self.current_seq
        UpperCamelCase_									=     self.completed

     return new_constraint




class 						_a       :






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase )			-> Tuple:
     UpperCamelCase_									=     constraints

     # max # of steps required to fulfill a given constraint
     UpperCamelCase_									=     max([c.seqlen for c in constraints] )
     UpperCamelCase_									=     len(A_ )
     UpperCamelCase_									=     False

     self.init_state()




  def    _UpperCAmelCase     (     self )			-> List[str]:
     UpperCamelCase_									=     []
     UpperCamelCase_									=     None
     UpperCamelCase_									=     [constraint.copy(stateful=A_ ) for constraint in self.constraints]




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     UpperCamelCase_									=     0
     if self.inprogress_constraint:
        # extra points for having a constraint mid-fulfilled
        add += self.max_seqlen - self.inprogress_constraint.remaining()

     return (len(self.complete_constraints ) * self.max_seqlen) + add




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     UpperCamelCase_									=     []
     if self.inprogress_constraint is None:
        for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
           UpperCamelCase_									=     constraint.advance()
           if isinstance(A_		,		A_ ):
              token_list.append(A_ )
           elif isinstance(A_		,		A_ ):
              token_list.extend(A_ )
     else:
        UpperCamelCase_									=     self.inprogress_constraint.advance()
        if isinstance(A_		,		A_ ):
           token_list.append(A_ )
        elif isinstance(A_		,		A_ ):
           token_list.extend(A_ )

     if len(A_ ) == 0:
        return None
     else:
        return token_list




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Any:
     self.init_state()

     if token_ids is not None:
        for token in token_ids:
           # completes or steps **one** constraint
           UpperCamelCase_		,      UpperCamelCase_									=     self.add(A_ )

           # the entire list of constraints are fulfilled
           if self.completed:
              break




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> int:
     if not isinstance(A_		,		A_ ):
        raise ValueError(f"""`token_id` should be an `int`, but is `{token_id}`.""" )

     UpperCamelCase_		,      UpperCamelCase_									=     False, False

     if self.completed:
        UpperCamelCase_									=     True
        UpperCamelCase_									=     False
        return complete, stepped

     if self.inprogress_constraint is not None:
        # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
        # job, simply update the state

        UpperCamelCase_		,      UpperCamelCase_		,      UpperCamelCase_									=     self.inprogress_constraint.update(A_ )
        if reset:
           # 1. If the next token breaks the progress, then we must restart.
           #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

           #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
           #     constraint, not the full list of constraints.

           self.pending_constraints.append(self.inprogress_constraint.copy(stateful=A_ ) )
           UpperCamelCase_									=     None

        if complete:
           # 2. If the next token completes the constraint, move it to completed list, set
           #     inprogress to None. If there are no pending constraints either, then this full list of constraints
           #     is complete.

           self.complete_constraints.append(self.inprogress_constraint )
           UpperCamelCase_									=     None

           if len(self.pending_constraints ) == 0:
              # we're done!
              UpperCamelCase_									=     True

     else:
        # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
        # of constraints?

        for cidx, pending_constraint in enumerate(self.pending_constraints ):
           if pending_constraint.does_advance(A_ ):
              UpperCamelCase_		,      UpperCamelCase_		,      UpperCamelCase_									=     pending_constraint.update(A_ )

              if not stepped:
                 raise Exception(
                     '`constraint.update(token_id)` is not yielding incremental progress, '
                     'even though `constraint.does_advance(token_id)` is true.' )

              if complete:
                 self.complete_constraints.append(A_ )
                 UpperCamelCase_									=     None

              if not complete and stepped:
                 UpperCamelCase_									=     pending_constraint

              if complete or stepped:
                 # If we made any progress at all, then it's at least not a "pending constraint".

                 UpperCamelCase_									=     (
                     self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                 )

                 if len(self.pending_constraints ) == 0 and self.inprogress_constraint is None:
                    # If there's no longer any pending after this and no inprogress either, then we must be
                    # complete.

                    UpperCamelCase_									=     True

                 break  # prevent accidentally stepping through multiple constraints with just one token.

     return complete, stepped




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase=True )			-> Tuple:
     UpperCamelCase_									=     ConstraintListState(self.constraints )  # we actually never though self.constraints objects
     # throughout this process. So it's at initialization state.

     if stateful:
        UpperCamelCase_									=     [
            constraint.copy(stateful=A_ ) for constraint in self.complete_constraints
        ]
        if self.inprogress_constraint is not None:
           UpperCamelCase_									=     self.inprogress_constraint.copy(stateful=A_ )
        UpperCamelCase_									=     [constraint.copy() for constraint in self.pending_constraints]

     return new_state













import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case__      :	Optional[int]       	=      pytest.mark.integration






@pytest.mark.parametrize('path'    ,      ['paws', 'csv'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_dataset(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning')
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning')
@pytest.mark.parametrize('path'    ,      ['accuracy'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_metric(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.parametrize(
    'path, config_name, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_info(__lowercase    ,      config_name=__lowercase)
   assert info.config_name == config_name
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_config_info(__lowercase    ,      config_name=__lowercase)






@pytest.mark.parametrize(
    'path, expected'    ,      [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_names(__lowercase)
   assert expected in config_names






@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'    ,      [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert list(infos.keys()) == expected_configs
   UpperCamelCase_									=     expected_configs[0]
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits_in_first_config






@pytest.mark.parametrize(
    'path, expected_config, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_split_names(__lowercase    ,      config_name=__lowercase)





