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







class   lowerCamelCase	(						snake_case__						):





     def __init__(self   :					Any     )		->		Tuple:
         self.test()





     def 	UpperCAmelCase(self   :					List[str]     )		->		str:
         snake_case				  =      0
         snake_case				  =      False
         while not completed:
             if counter == 1:
                 self.reset()
             snake_case				  =      self.advance()
             if not self.does_advance(UpperCAmelCase_     ):
                 raise Exception(
                     "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."     )

             snake_case  ,							snake_case  ,							snake_case				  =      self.update(UpperCAmelCase_     )
             counter += 1

             if counter > 1_0_0_0_0:
                 raise Exception("update() does not fulfill the constraint."     )

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





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





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





     @abstractmethod
     def 	UpperCAmelCase(self   :					List[Any]       ,					_A   :					int     )		->		List[str]:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'     )





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





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





     @abstractmethod
     def 	UpperCAmelCase(self   :					List[Any]       ,					_A   :					Optional[Any]=False     )		->		List[Any]:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'     )







class   lowerCamelCase	(						snake_case__						):





     def __init__(self   :					Dict       ,					_A   :					List[int]     )		->		str:
         super(UpperCAmelCase_       ,					self     ).__init__()

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

         snake_case				  =      token_ids

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





     def 	UpperCAmelCase(self   :					int     )		->		Dict:



         if self.completed:
             return None
         return self.token_ids[self.fulfilled_idx + 1]





     def 	UpperCAmelCase(self   :					Tuple       ,					_A   :					int     )		->		Optional[int]:



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

         if self.completed:
             return False

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





     def 	UpperCAmelCase(self   :					Tuple       ,					_A   :					int     )		->		List[Any]:



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

         snake_case				  =      False
         snake_case				  =      False
         snake_case				  =      False

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





     def 	UpperCAmelCase(self   :					Dict     )		->		Optional[Any]:
         snake_case				  =      False
         snake_case				  =      0





     def 	UpperCAmelCase(self   :					List[Any]     )		->		Dict:
         return self.seqlen - (self.fulfilled_idx + 1)





     def 	UpperCAmelCase(self   :					Any       ,					_A   :					Dict=False     )		->		List[str]:
         snake_case				  =      PhrasalConstraint(self.token_ids     )

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

         return new_constraint







class   lowerCamelCase	:





     def __init__(self   :					Optional[Any]       ,					_A   :					List[List[int]]       ,					_A   :					Optional[int]=True     )		->		Union[str, Any]:
         snake_case				  =      max([len(UpperCAmelCase_     ) for one in nested_token_ids]     )

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

                 snake_case				  =      level[token_id]

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

         snake_case				  =      root





     def 	UpperCAmelCase(self   :					Optional[Any]       ,					_A   :					Optional[int]     )		->		Optional[Any]:
         snake_case				  =      self.trie

         for current_token in current_seq:
             snake_case				  =      start[current_token]

         snake_case				  =      list(start.keys()     )

         return next_tokens





     def 	UpperCAmelCase(self   :					str       ,					_A   :					int     )		->		Optional[int]:
         snake_case				  =      self.next_tokens(UpperCAmelCase_     )

         return len(UpperCAmelCase_     ) == 0





     def 	UpperCAmelCase(self   :					int       ,					_A   :					Dict     )		->		List[str]:
         snake_case				  =      list(root.values()     )
         if len(UpperCAmelCase_     ) == 0:
             return 1
         else:
             return sum([self.count_leaves(UpperCAmelCase_     ) for nn in next_nodes]     )





     def 	UpperCAmelCase(self   :					str       ,					_A   :					Union[str, Any]       ,					_A   :					Union[str, Any]     )		->		List[Any]:
         snake_case				  =      self.count_leaves(UpperCAmelCase_     )
         return len(UpperCAmelCase_     ) != leaf_count







class   lowerCamelCase	(						snake_case__						):





     def __init__(self   :					Optional[int]       ,					_A   :					List[List[int]]     )		->		List[str]:
         super(UpperCAmelCase_       ,					self     ).__init__()

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

         snake_case				  =      DisjunctiveTrie(UpperCAmelCase_     )
         snake_case				  =      nested_token_ids

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





     def 	UpperCAmelCase(self   :					List[str]     )		->		List[Any]:
         snake_case				  =      self.trie.next_tokens(self.current_seq     )

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





     def 	UpperCAmelCase(self   :					Union[str, Any]       ,					_A   :					int     )		->		int:



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

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

         return token_id in next_tokens





     def 	UpperCAmelCase(self   :					Optional[Any]       ,					_A   :					int     )		->		Dict:



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

         snake_case				  =      False
         snake_case				  =      False
         snake_case				  =      False

         if self.does_advance(UpperCAmelCase_     ):
             self.current_seq.append(UpperCAmelCase_     )
             snake_case				  =      True
         else:
             snake_case				  =      True
             self.reset()

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

         return stepped, completed, reset





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Dict:
         snake_case				  =      False
         snake_case				  =      []





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		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   :					str       ,					_A   :					Optional[Any]=False     )		->		List[Any]:
         snake_case				  =      DisjunctiveConstraint(self.token_ids     )

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

         return new_constraint







class   lowerCamelCase	:





     def __init__(self   :					str       ,					_A   :					List[Constraint]     )		->		Any:
         snake_case				  =      constraints

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

         self.init_state()





     def 	UpperCAmelCase(self   :					int     )		->		Dict:
         snake_case				  =      []
         snake_case				  =      None
         snake_case				  =      [constraint.copy(stateful=UpperCAmelCase_     ) for constraint in self.constraints]





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

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





     def 	UpperCAmelCase(self   :					Optional[int]       ,					_A   :					Optional[List[int]]     )		->		Dict:
         self.init_state()

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

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





     def 	UpperCAmelCase(self   :					Union[str, Any]       ,					_A   :					int     )		->		List[Any]:



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

         snake_case  ,							snake_case				  =      False, False

         if self.completed:
             snake_case				  =      True
             snake_case				  =      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

             snake_case  ,							snake_case  ,							snake_case				  =      self.inprogress_constraint.update(UpperCAmelCase_     )
             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=UpperCAmelCase_     )     )
                 snake_case				  =      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     )
                 snake_case				  =      None

                 if len(self.pending_constraints     ) == 0:
                     # we're done!
                     snake_case				  =      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(UpperCAmelCase_     ):
                     snake_case  ,							snake_case  ,							snake_case				  =      pending_constraint.update(UpperCAmelCase_     )

                     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(UpperCAmelCase_     )
                         snake_case				  =      None

                     if not complete and stepped:
                         snake_case				  =      pending_constraint

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

                         snake_case				  =      (
                             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.

                             snake_case				  =      True

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

         return complete, stepped





     def 	UpperCAmelCase(self   :					Tuple       ,					_A   :					Optional[Any]=True     )		->		Optional[int]:
         snake_case				  =      ConstraintListState(self.constraints     )  # we actually never though self.constraints objects
         # throughout this process. So it's at initialization state.

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

         return new_state



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment







class   lowerCamelCase	(						unittest.TestCase						):





     def 	UpperCAmelCase(self   :					Dict     )		->		Dict:
         snake_case				  =      inspect.getfile(accelerate.test_utils     )
         snake_case				  =      os.path.sep.join(mod_file.split(os.path.sep     )[:-1] + ["scripts", "test_script.py"]     )
         snake_case				  =      os.path.sep.join(
             mod_file.split(os.path.sep     )[:-1] + ["scripts", "test_distributed_data_loop.py"]     )
         snake_case				  =      os.path.sep.join(mod_file.split(os.path.sep     )[:-1] + ["scripts", "test_ops.py"]     )





     @require_multi_gpu
     def 	UpperCAmelCase(self   :					List[Any]     )		->		int:
         print(f'Found {torch.cuda.device_count()} devices.'     )
         snake_case				  =      ["torchrun", f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
         with patch_environment(omp_num_threads=1     ):
             execute_subprocess_async(_A       ,					env=os.environ.copy()     )





     @require_multi_gpu
     def 	UpperCAmelCase(self   :					Any     )		->		Optional[Any]:
         print(f'Found {torch.cuda.device_count()} devices.'     )
         snake_case				  =      ["torchrun", f'--nproc_per_node={torch.cuda.device_count()}', self.operation_file_path]
         print(f'Command: {cmd}'     )
         with patch_environment(omp_num_threads=1     ):
             execute_subprocess_async(_A       ,					env=os.environ.copy()     )





     @require_multi_gpu
     def 	UpperCAmelCase(self   :					Union[str, Any]     )		->		Dict:
         snake_case				  =      ["torchrun", f'--nproc_per_node={torch.cuda.device_count()}', inspect.getfile(self.__class__     )]
         with patch_environment(omp_num_threads=1     ):
             execute_subprocess_async(_A       ,					env=os.environ.copy()     )





     @require_multi_gpu
     def 	UpperCAmelCase(self   :					List[str]     )		->		Dict:
         print(f'Found {torch.cuda.device_count()} devices, using 2 devices only'     )
         snake_case				  =      ["torchrun", f'--nproc_per_node={torch.cuda.device_count()}', self.data_loop_file_path]
         with patch_environment(omp_num_threads=1       ,					cuda_visible_devices="0,1"     ):
             execute_subprocess_async(_A       ,					env=os.environ.copy()     )


if __name__ == "__main__":
   _A						      =				Accelerator()
   _A						      =				(accelerator.state.process_index + 2, 10)
   _A						      =				torch.randint(0, 10, shape).to(accelerator.device)

   _A						      =				""

   _A						      =				accelerator.pad_across_processes(tensor)
   if tensora.shape[0] != accelerator.state.num_processes + 1:
      error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
   if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
      error_msg += "Tensors have different values."
   if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
      error_msg += "Padding was not done with the right value (0)."

   _A						      =				accelerator.pad_across_processes(tensor, pad_first=True)
   if tensora.shape[0] != accelerator.state.num_processes + 1:
      error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
   _A						      =				accelerator.state.num_processes - accelerator.state.process_index - 1
   if not torch.equal(tensora[index:], tensor):
      error_msg += "Tensors have different values."
   if not torch.all(tensora[:index] == 0):
      error_msg += "Padding was not done with the right value (0)."

   # Raise error at the end to make sure we don't stop at the first failure.
   if len(error_msg) > 0:
      raise ValueError(error_msg)

