
"""simple docstring"""
from abc import ABC, abstractmethod
from typing import List, Optional
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     def __init__(     self				):




       """simple docstring"""


       self.test()
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = 0
       _SCREAMING_SNAKE_CASE   :				Tuple							    = False
       while not completed:
         if counter == 1:
           self.reset()
         _SCREAMING_SNAKE_CASE   :				Any							    = self.advance()
         if not self.does_advance(snake_case__				):
           raise Exception(
               "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."				)

         _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				List[str]							    = self.update(snake_case__				)
         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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)
     @abstractmethod
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)
     @abstractmethod
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)
     @abstractmethod
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)
     @abstractmethod
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)




     @abstractmethod
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__=False				):




       """simple docstring"""


       raise NotImplementedError(
           F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''				)
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     def __init__(     self  ,     snake_case__				):




       """simple docstring"""


       super(snake_case__  ,     self				).__init__()

       if not isinstance(snake_case__  ,     snake_case__				) or len(snake_case__				) == 0:
         raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.'''				)
       if any((not isinstance(snake_case__  ,     snake_case__				) 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}.'''				)

       _SCREAMING_SNAKE_CASE   :				str							    = token_ids

       _SCREAMING_SNAKE_CASE   :				List[str]							    = len(self.token_ids				)
       _SCREAMING_SNAKE_CASE   :				int							    = -1  # the index of the currently fulfilled step
       _SCREAMING_SNAKE_CASE   :				Any							    = False
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       if self.completed:
         return None
       return self.token_ids[self.fulfilled_idx + 1]
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if not isinstance(snake_case__  ,     snake_case__				):
         raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(snake_case__				)}'''				)

       if self.completed:
         return False

       return token_id == self.token_ids[self.fulfilled_idx + 1]
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if not isinstance(snake_case__  ,     snake_case__				):
         raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(snake_case__				)}'''				)

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = False
       _SCREAMING_SNAKE_CASE   :				int							    = False
       _SCREAMING_SNAKE_CASE   :				List[str]							    = False

       if self.does_advance(snake_case__				):
         self.fulfilled_idx += 1
         _SCREAMING_SNAKE_CASE   :				List[str]							    = True
         if self.fulfilled_idx == (self.seqlen - 1):
           _SCREAMING_SNAKE_CASE   :				str							    = True
         _SCREAMING_SNAKE_CASE   :				int							    = completed
       else:
         # failed to make progress.
         _SCREAMING_SNAKE_CASE   :				Tuple							    = True
         self.reset()
       return stepped, completed, reset
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = False
       _SCREAMING_SNAKE_CASE   :				int							    = 0
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       return self.seqlen - (self.fulfilled_idx + 1)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__=False				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = PhrasalConstraint(self.token_ids				)

       if stateful:
         _SCREAMING_SNAKE_CASE   :				str							    = self.seqlen
         _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.fulfilled_idx
         _SCREAMING_SNAKE_CASE   :				Any							    = self.completed

       return new_constraint
class 			UpperCamelCase      :
     def __init__(     self  ,     snake_case__  ,     snake_case__=True				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = max([len(snake_case__				) for one in nested_token_ids]				)

       _SCREAMING_SNAKE_CASE   :				List[str]							    = {}
       for token_ids in nested_token_ids:
         _SCREAMING_SNAKE_CASE   :				Tuple							    = root
         for tidx, token_id in enumerate(snake_case__				):
           if token_id not in level:
             _SCREAMING_SNAKE_CASE   :				Any							    = {}

           _SCREAMING_SNAKE_CASE   :				Optional[int]							    = level[token_id]

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

       _SCREAMING_SNAKE_CASE   :				List[Any]							    = root
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = self.trie

       for current_token in current_seq:
         _SCREAMING_SNAKE_CASE   :				Dict							    = start[current_token]

       _SCREAMING_SNAKE_CASE   :				Any							    = list(start.keys()				)

       return next_tokens
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = self.next_tokens(snake_case__				)

       return len(snake_case__				) == 0
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = list(root.values()				)
       if len(snake_case__				) == 0:
         return 1
       else:
         return sum([self.count_leaves(snake_case__				) for nn in next_nodes]				)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = self.count_leaves(snake_case__				)
       return len(snake_case__				) != leaf_count
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     def __init__(     self  ,     snake_case__				):




       """simple docstring"""


       super(snake_case__  ,     self				).__init__()

       if not isinstance(snake_case__  ,     snake_case__				) or len(snake_case__				) == 0:
         raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''				)
       if any(not isinstance(snake_case__  ,     snake_case__				) 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(snake_case__  ,     snake_case__				) 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}.'''				)

       _SCREAMING_SNAKE_CASE   :				Dict							    = DisjunctiveTrie(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Tuple							    = nested_token_ids

       _SCREAMING_SNAKE_CASE   :				Dict							    = self.trie.max_height
       _SCREAMING_SNAKE_CASE   :				List[str]							    = []
       _SCREAMING_SNAKE_CASE   :				int							    = False
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.trie.next_tokens(self.current_seq				)

       if len(snake_case__				) == 0:
         return None
       else:
         return token_list
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if not isinstance(snake_case__  ,     snake_case__				):
         raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(snake_case__				)}'''				)

       _SCREAMING_SNAKE_CASE   :				int							    = self.trie.next_tokens(self.current_seq				)

       return token_id in next_tokens
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if not isinstance(snake_case__  ,     snake_case__				):
         raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(snake_case__				)}'''				)

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = False
       _SCREAMING_SNAKE_CASE   :				Tuple							    = False
       _SCREAMING_SNAKE_CASE   :				Tuple							    = False

       if self.does_advance(snake_case__				):
         self.current_seq.append(snake_case__				)
         _SCREAMING_SNAKE_CASE   :				str							    = True
       else:
         _SCREAMING_SNAKE_CASE   :				Dict							    = True
         self.reset()

       _SCREAMING_SNAKE_CASE   :				Tuple							    = self.trie.reached_leaf(self.current_seq				)
       _SCREAMING_SNAKE_CASE   :				Tuple							    = completed

       return stepped, completed, reset
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = False
       _SCREAMING_SNAKE_CASE   :				List[str]							    = []
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       if self.completed:
         # since this can be completed without reaching max height
         return 0
       else:
         return self.seqlen - len(self.current_seq				)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__=False				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = DisjunctiveConstraint(self.token_ids				)

       if stateful:
         _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.seqlen
         _SCREAMING_SNAKE_CASE   :				List[str]							    = self.current_seq
         _SCREAMING_SNAKE_CASE   :				Any							    = self.completed

       return new_constraint
class 			UpperCamelCase      :
     def __init__(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = constraints

       # max # of steps required to fulfill a given constraint
       _SCREAMING_SNAKE_CASE   :				int							    = max([c.seqlen for c in constraints]				)
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = len(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Any							    = False

       self.init_state()
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = []
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = None
       _SCREAMING_SNAKE_CASE   :				List[str]							    = [constraint.copy(stateful=snake_case__				) for constraint in self.constraints]
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = 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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = []
       if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
           _SCREAMING_SNAKE_CASE   :				Any							    = constraint.advance()
           if isinstance(snake_case__  ,     snake_case__				):
             token_list.append(snake_case__				)
           elif isinstance(snake_case__  ,     snake_case__				):
             token_list.extend(snake_case__				)
       else:
         _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.inprogress_constraint.advance()
         if isinstance(snake_case__  ,     snake_case__				):
           token_list.append(snake_case__				)
         elif isinstance(snake_case__  ,     snake_case__				):
           token_list.extend(snake_case__				)

       if len(snake_case__				) == 0:
         return None
       else:
         return token_list
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       self.init_state()

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

           # the entire list of constraints are fulfilled
           if self.completed:
             break
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if not isinstance(snake_case__  ,     snake_case__				):
         raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.'''				)

       _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Dict							    = False, False

       if self.completed:
         _SCREAMING_SNAKE_CASE   :				Optional[int]							    = True
         _SCREAMING_SNAKE_CASE   :				List[str]							    = 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

         _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Optional[int]							    = self.inprogress_constraint.update(snake_case__				)
         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=snake_case__				)				)
           _SCREAMING_SNAKE_CASE   :				int							    = 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				)
           _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = None

           if len(self.pending_constraints				) == 0:
             # we're done!
             _SCREAMING_SNAKE_CASE   :				str							    = 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(snake_case__				):
             _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				int							    = pending_constraint.update(snake_case__				)

             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(snake_case__				)
               _SCREAMING_SNAKE_CASE   :				Tuple							    = None

             if not complete and stepped:
               _SCREAMING_SNAKE_CASE   :				str							    = pending_constraint

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

               _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = (
                   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.

                 _SCREAMING_SNAKE_CASE   :				Any							    = True

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

       return complete, stepped




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__=True				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = ConstraintListState(self.constraints				)  # we actually never though self.constraints objects
       # throughout this process. So it's at initialization state.

       if stateful:
         _SCREAMING_SNAKE_CASE   :				int							    = [
             constraint.copy(stateful=snake_case__				) for constraint in self.complete_constraints
         ]
         if self.inprogress_constraint is not None:
           _SCREAMING_SNAKE_CASE   :				Any							    = self.inprogress_constraint.copy(stateful=snake_case__				)
         _SCREAMING_SNAKE_CASE   :				Any							    = [constraint.copy() for constraint in self.pending_constraints]

       return new_state





"""simple docstring"""
from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
      import numpy as np
      import tensorflow as tf

      from transformers import TFCamembertModel
@require_tf
@require_sentencepiece
@require_tokenizers
class 			UpperCamelCase      (							unittest.TestCase  ):
     @slow
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = TFCamembertModel.from_pretrained("jplu/tf-camembert-base"				)

       _SCREAMING_SNAKE_CASE   :				str							    = tf.convert_to_tensor(
           [[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]]  ,     dtype=tf.intaa  ,     )  # J'aime le camembert !"

       _SCREAMING_SNAKE_CASE   :				str							    = model(snake_case__				)["last_hidden_state"]
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = tf.TensorShape((1, 10, 768)				)
       self.assertEqual(output.shape  ,     snake_case__				)
       # compare the actual values for a slice.
       _SCREAMING_SNAKE_CASE   :				int							    = tf.convert_to_tensor(
           [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]]  ,     dtype=tf.floataa  ,     )
       # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
       # camembert.eval()
       # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

       self.assertTrue(np.allclose(output[:, :3, :3].numpy()  ,     expected_slice.numpy()  ,     atol=1E-4				)				)



