import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)



def A__	(      lowercase:  Optional[Any],		lowercase:  Any=False       )					->		Optional[int]:
       try:
              A    :  Union[str, Any]								=os.environ[key]
       except KeyError:
              # KEY isn't set, default to `default`.
              A    :  Optional[int]								=default
       else:
              # KEY is set, convert it to True or False.
              try:
                     A    :  Any								=strtobool(__A       )
              except ValueError:
                     # More values are supported, but let's keep the message simple.
                     raise ValueError(F'If set, {key} must be yes or no.'       )
       return _value


_lowercase				:   Dict   				=parse_flag_from_env('''RUN_SLOW''', default=False)



def A__	(      lowercase:  Union[str, Any]       )					->		Tuple:
       return unittest.skip('Test was skipped'       )(__A       )



def A__	(      lowercase:  Dict       )					->		Optional[Any]:
       return unittest.skipUnless(_run_slow_tests,		'test is slow'       )(__A       )



def A__	(      lowercase:  Tuple       )					->		Any:
       return unittest.skipUnless(not torch.cuda.is_available(),		'test requires only a CPU'       )(__A       )



def A__	(      lowercase:  List[str]       )					->		List[str]:
       return unittest.skipUnless(torch.cuda.is_available(),		'test requires a GPU'       )(__A       )



def A__	(      lowercase:  str       )					->		Optional[int]:
       return unittest.skipUnless(is_xpu_available(),		'test requires a XPU'       )(__A       )



def A__	(      lowercase:  List[Any]       )					->		str:
       return unittest.skipUnless(is_mps_available(),		'test requires a `mps` backend support in `torch`'       )(__A       )



def A__	(      lowercase:  int       )					->		Dict:
       return unittest.skipUnless(
           is_transformers_available() and is_datasets_available(),		'test requires the Hugging Face suite'       )(__A       )



def A__	(      lowercase:  Tuple       )					->		Dict:
       return unittest.skipUnless(is_bnb_available(),		'test requires the bitsandbytes library'       )(__A       )



def A__	(      lowercase:  List[Any]       )					->		Optional[int]:
       return unittest.skipUnless(is_tpu_available(),		'test requires TPU'       )(__A       )



def A__	(      lowercase:  str       )					->		List[Any]:
       return unittest.skipUnless(torch.cuda.device_count() == 1,		'test requires a GPU'       )(__A       )



def A__	(      lowercase:  Any       )					->		Optional[int]:
       return unittest.skipUnless(torch.xpu.device_count() == 1,		'test requires a XPU'       )(__A       )



def A__	(      lowercase:  Optional[int]       )					->		List[Any]:
       return unittest.skipUnless(torch.cuda.device_count() > 1,		'test requires multiple GPUs'       )(__A       )



def A__	(      lowercase:  Any       )					->		Tuple:
       return unittest.skipUnless(torch.xpu.device_count() > 1,		'test requires multiple XPUs'       )(__A       )



def A__	(      lowercase:  Optional[int]       )					->		Optional[Any]:
       return unittest.skipUnless(is_safetensors_available(),		'test requires safetensors'       )(__A       )



def A__	(      lowercase:  List[str]       )					->		List[Any]:
       return unittest.skipUnless(is_deepspeed_available(),		'test requires DeepSpeed'       )(__A       )



def A__	(      lowercase:  int       )					->		Optional[int]:
       return unittest.skipUnless(is_torch_version('>=',		'1.12.0'       ),		'test requires torch version >= 1.12.0'       )(__A       )



def A__	(      lowercase:  Any=None,		lowercase:  Any=None       )					->		int:
       if test_case is None:
              return partial(__A,		version=__A       )
       return unittest.skipUnless(is_torch_version('>=',		__A       ),		F'test requires torch version >= {version}'       )(__A       )



def A__	(      lowercase:  str       )					->		List[Any]:
       return unittest.skipUnless(is_tensorboard_available(),		'test requires Tensorboard'       )(__A       )



def A__	(      lowercase:  List[Any]       )					->		Optional[Any]:
       return unittest.skipUnless(is_wandb_available(),		'test requires wandb'       )(__A       )



def A__	(      lowercase:  Optional[Any]       )					->		Union[str, Any]:
       return unittest.skipUnless(is_comet_ml_available(),		'test requires comet_ml'       )(__A       )


_lowercase				:   Any   				=(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)



def A__	(      lowercase:  Tuple       )					->		Tuple:
       return unittest.skipUnless(
           _atleast_one_tracker_available,		'test requires at least one tracker to be available and for `comet_ml` to not be installed',		)(__A       )



class 			SCREAMING_SNAKE_CASE_			(       unittest.TestCase      ):
  '''simple docstring'''


  lowercase		:  Union[str, Any]							  =					True







  @classmethod
  def 		SCREAMING_SNAKE_CASE_		(					cls     :       Any  )     ->					Optional[int]:
         A    :  Optional[int]								=tempfile.mkdtemp()







  @classmethod
  def 		SCREAMING_SNAKE_CASE_		(					cls     :       List[str]  )     ->					Optional[Any]:



         if os.path.exists(cls.tmpdir  ):
                shutil.rmtree(cls.tmpdir  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       int  )     ->					int:



         if self.clear_on_setup:
                for path in Path(self.tmpdir  ).glob('**/*'  ):
                       if path.is_file():
                              path.unlink()
                       elif path.is_dir():
                              shutil.rmtree(lowercase__  )







class 			SCREAMING_SNAKE_CASE_			(       unittest.TestCase      ):
  '''simple docstring'''


  def 		SCREAMING_SNAKE_CASE_		(					self     :       Tuple  )     ->					int:
         super().tearDown()
         # Reset the state of the AcceleratorState singleton.
         AcceleratorState._reset_state()
         PartialState._reset_state()







class 			SCREAMING_SNAKE_CASE_			(       unittest.TestCase      ):
  '''simple docstring'''


  def 		SCREAMING_SNAKE_CASE_		(					self     :       int   ,						SCREAMING_SNAKE_CASE__     :       Optional[Any]  )     ->					Tuple:
         A    :  Optional[Any]								=mocks if isinstance(lowercase__   ,						(tuple, list)  ) else [mocks]
         for m in self.mocks:
                m.start()
                self.addCleanup(m.stop  )







def A__	(      lowercase:  Dict       )					->		Union[str, Any]:
       A    :  Optional[int]								=AcceleratorState()
       A    :  Union[str, Any]								=tensor[None].clone().to(state.device       )
       A    :  Any								=gather(__A       ).cpu()
       A    :  Dict								=tensor[0].cpu()
       for i in range(tensors.shape[0]       ):
              if not torch.equal(tensors[i],		__A       ):
                     return False
       return True



class 			SCREAMING_SNAKE_CASE_			:
  '''simple docstring'''


  def __init__(					self     :       int   ,						SCREAMING_SNAKE_CASE__     :       int   ,						SCREAMING_SNAKE_CASE__     :       Tuple   ,						SCREAMING_SNAKE_CASE__     :       Dict  )     ->					Optional[Any]:
         A    :  List[Any]								=returncode
         A    :  Optional[Any]								=stdout
         A    :  int								=stderr







async def A__	(      lowercase:  List[Any],		lowercase:  Optional[int]       )					->		List[str]:
       while True:
              A    :  List[Any]								=await stream.readline()
              if line:
                     callback(__A       )
              else:
                     break



async def A__	(      lowercase:  List[str],		lowercase:  Optional[Any]=None,		lowercase:  List[str]=None,		lowercase:  Tuple=None,		lowercase:  Optional[int]=False,		lowercase:  Optional[int]=False       )					->		_RunOutput:
       if echo:
              print('\nRunning: ',		' '.join(__A       )       )

       A    :  str								=await asyncio.create_subprocess_exec(
           cmd[0],		*cmd[1:],		stdin=__A,		stdout=asyncio.subprocess.PIPE,		stderr=asyncio.subprocess.PIPE,		env=__A,		)

       # note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
       # https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
       #
       # If it starts hanging, will need to switch to the following code. The problem is that no data
       # will be seen until it's done and if it hangs for example there will be no debug info.
       # out, err = await p.communicate()
       # return _RunOutput(p.returncode, out, err)

       A    :  int								=[]
       A    :  Optional[Any]								=[]

       def tee(lowercase:  Union[str, Any],		lowercase:  str,		lowercase:  Tuple,		lowercase:  Union[str, Any]=""       ):
              A    :  int								=line.decode('utf-8'       ).rstrip()
              sink.append(__A       )
              if not quiet:
                     print(__A,		__A,		file=__A       )

    # XXX: the timeout doesn't seem to make any difference here
       await asyncio.wait(
           [
               asyncio.create_task(_read_stream(p.stdout,		lambda lowercase       : tee(__A,		__A,		sys.stdout,		label='stdout:'       )       )       ),
               asyncio.create_task(_read_stream(p.stderr,		lambda lowercase       : tee(__A,		__A,		sys.stderr,		label='stderr:'       )       )       ),
           ],		timeout=__A,		)
       return _RunOutput(await p.wait(),		__A,		__A       )



def A__	(      lowercase:  int,		lowercase:  Optional[Any]=None,		lowercase:  Tuple=None,		lowercase:  Dict=180,		lowercase:  Optional[Any]=False,		lowercase:  Dict=True       )					->		_RunOutput:
       A    :  Dict								=asyncio.get_event_loop()
       A    :  str								=loop.run_until_complete(
           _stream_subprocess(__A,		env=__A,		stdin=__A,		timeout=__A,		quiet=__A,		echo=__A       )       )

       A    :  Any								=' '.join(__A       )
       if result.returncode > 0:
              A    :  Dict								='\n'.join(result.stderr       )
              raise RuntimeError(
                  F'\'{cmd_str}\' failed with returncode {result.returncode}\n\n'
                  F'The combined stderr from workers follows:\n{stderr}'       )

       return result



class 			SCREAMING_SNAKE_CASE_			(       lowerCAmelCase_      ):
  '''simple docstring'''


  pass







def A__	(      lowercase:  List[str],		lowercase:  Any=False       )					->		List[str]:
       try:
              A    :  Tuple								=subprocess.check_output(__A,		stderr=subprocess.STDOUT       )
              if return_stdout:
                     if hasattr(__A,		'decode'       ):
                            A    :  Optional[int]								=output.decode('utf-8'       )
                     return output
       except subprocess.CalledProcessError as e:
              raise SubprocessCallException(
                  F'Command `{" ".join(__A       )}` failed with the following error:\n\n{e.output.decode()}'       ) from e









from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_lowerCamelCase      :					Any					    =      logging.get_logger(__name__)


_lowerCamelCase      :					Tuple					    =      {
    '''nielsr/canine-s''': 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_lowerCamelCase      :					List[str]					    =      111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_lowerCamelCase      :					List[str]					    =      0

_lowerCamelCase      :					Any					    =      0xe_0_0_0
_lowerCamelCase      :					Union[str, Any]					    =      0xe_0_0_1
_lowerCamelCase      :					Any					    =      0xe_0_0_2
_lowerCamelCase      :					List[str]					    =      0xe_0_0_3
_lowerCamelCase      :					Any					    =      0xe_0_0_4

# Maps special codepoints to human-readable names.
_lowerCamelCase      :					Dict[int, str]					    =      {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_lowerCamelCase      :					Dict[str, int]					    =      {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}





class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       lowercase_						=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

       def __init__(							self ,   lowercase__=chr(lowercase__     ) ,   lowercase__=chr(lowercase__     ) ,   lowercase__=chr(lowercase__     ) ,   lowercase__=chr(lowercase__     ) ,   lowercase__=chr(lowercase__     ) ,   lowercase__=chr(lowercase__     ) ,   lowercase__=False ,   lowercase__=2_0_4_8 ,   **lowercase__ ,   ):







             '''simple docstring'''



             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else bos_token
             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else eos_token
             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else sep_token
             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else cls_token
             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else pad_token

             # Mask token behave like a normal word, i.e. include the space before it
             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else mask_token

             super().__init__(
                 bos_token=lowercase__ ,   eos_token=lowercase__ ,   sep_token=lowercase__ ,   cls_token=lowercase__ ,   pad_token=lowercase__ ,   mask_token=lowercase__ ,   add_prefix_space=lowercase__ ,   model_max_length=lowercase__ ,   **lowercase__ ,   )

             # Creates a mapping for looking up the IDs of special symbols.
             __A    ={}
             for codepoint, name in SPECIAL_CODEPOINTS.items():
                   __A    =codepoint

             # Creates a mapping for looking up the string forms of special symbol IDs.
             __A    ={
                 codepoint: name for name, codepoint in self._special_codepoints.items()
             }

             __A    =UNICODE_VOCAB_SIZE
             __A    =len(self._special_codepoints     )

       @property
       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             return self._unicode_vocab_size

       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             return list(lowercase__     )

       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             try:
                   return ord(lowercase__     )
             except TypeError:
                   raise ValueError(f'''invalid token: \'{token}\''''     )

       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             try:
                   if index in SPECIAL_CODEPOINTS:
                         return SPECIAL_CODEPOINTS[index]
                   return chr(lowercase__     )
             except TypeError:
                   raise ValueError(f'''invalid id: {index}'''     )

       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             return "".join(lowercase__     )

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None     ):







             '''simple docstring'''



             __A    =[self.sep_token_id]
             __A    =[self.cls_token_id]

             __A    =cls + token_ids_a + sep
             if token_ids_a is not None:
                   result += token_ids_a + sep
             return result

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None ,   lowercase__ = False     ):







             '''simple docstring'''



             if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=lowercase__ ,   token_ids_a=lowercase__ ,   already_has_special_tokens=lowercase__     )

             __A    =[1] + ([0] * len(lowercase__     )) + [1]
             if token_ids_a is not None:
                   result += ([0] * len(lowercase__     )) + [1]
             return result

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None     ):







             '''simple docstring'''



             __A    =[self.sep_token_id]
             __A    =[self.cls_token_id]

             __A    =len(cls + token_ids_a + sep     ) * [0]
             if token_ids_a is not None:
                   result += len(token_ids_a + sep     ) * [1]
             return result


       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None     ):







             '''simple docstring'''



             return ()


