
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 		UpperCamelCase						(   lowercase_			,			lowercase_=False )		->						Dict:


  '''simple docstring'''






  try:
    lowercase__	: Any     		=   os.environ[key]
  except KeyError:
    # KEY isn't set, default to `default`.
    lowercase__	: str     		=   default
  else:
    # KEY is set, convert it to True or False.
    try:
      lowercase__	: Union[str, Any]     		=   strtobool(lowercase_ )
    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


lowerCamelCase__     :		Union[str, Any]        = parse_flag_from_env("""RUN_SLOW""", default=False)

def 		UpperCamelCase						(   lowercase_ )		->						Optional[Any]:


  '''simple docstring'''






  return unittest.skip("""Test was skipped""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						List[str]:


  '''simple docstring'''






  return unittest.skipUnless(_run_slow_tests			,			"""test is slow""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Tuple:


  '''simple docstring'''






  return unittest.skipUnless(not torch.cuda.is_available()			,			"""test requires only a CPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						int:


  '''simple docstring'''






  return unittest.skipUnless(torch.cuda.is_available()			,			"""test requires a GPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						List[str]:


  '''simple docstring'''






  return unittest.skipUnless(is_xpu_available()			,			"""test requires a XPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Any:


  '''simple docstring'''






  return unittest.skipUnless(is_mps_available()			,			"""test requires a `mps` backend support in `torch`""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						str:


  '''simple docstring'''






  return unittest.skipUnless(
      is_transformers_available() and is_datasets_available()			,			"""test requires the Hugging Face suite""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						int:


  '''simple docstring'''






  return unittest.skipUnless(is_bnb_available()			,			"""test requires the bitsandbytes library""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Optional[int]:


  '''simple docstring'''






  return unittest.skipUnless(is_tpu_available()			,			"""test requires TPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Any:


  '''simple docstring'''






  return unittest.skipUnless(torch.cuda.device_count() == 1			,			"""test requires a GPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Union[str, Any]:


  '''simple docstring'''






  return unittest.skipUnless(torch.xpu.device_count() == 1			,			"""test requires a XPU""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Union[str, Any]:


  '''simple docstring'''






  return unittest.skipUnless(torch.cuda.device_count() > 1			,			"""test requires multiple GPUs""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						int:


  '''simple docstring'''






  return unittest.skipUnless(torch.xpu.device_count() > 1			,			"""test requires multiple XPUs""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Optional[Any]:


  '''simple docstring'''






  return unittest.skipUnless(is_safetensors_available()			,			"""test requires safetensors""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Optional[int]:


  '''simple docstring'''






  return unittest.skipUnless(is_deepspeed_available()			,			"""test requires DeepSpeed""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Tuple:


  '''simple docstring'''






  return unittest.skipUnless(is_torch_version(""">="""			,			"""1.12.0""" )			,			"""test requires torch version >= 1.12.0""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_=None			,			lowercase_=None )		->						List[str]:


  '''simple docstring'''






  if test_case is None:
    return partial(lowercase_			,			version=lowercase_ )
  return unittest.skipUnless(is_torch_version(""">="""			,			lowercase_ )			,			F'test requires torch version >= {version}' )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Any:


  '''simple docstring'''






  return unittest.skipUnless(is_tensorboard_available()			,			"""test requires Tensorboard""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						Optional[int]:


  '''simple docstring'''






  return unittest.skipUnless(is_wandb_available()			,			"""test requires wandb""" )(lowercase_ )

def 		UpperCamelCase						(   lowercase_ )		->						str:


  '''simple docstring'''






  return unittest.skipUnless(is_comet_ml_available()			,			"""test requires comet_ml""" )(lowercase_ )


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

def 		UpperCamelCase						(   lowercase_ )		->						Union[str, Any]:


  '''simple docstring'''






  return unittest.skipUnless(
      _atleast_one_tracker_available			,			"""test requires at least one tracker to be available and for `comet_ml` to not be installed"""			,			)(lowercase_ )



class    _snake_case (						unittest.TestCase				):
 __lowerCAmelCase	:  Optional[Any]	   =      True


 @classmethod
 def   lowercase__  (       cls):


   '''simple docstring'''




   lowercase__	: Tuple     		=   tempfile.mkdtemp()


 @classmethod
 def   lowercase__  (       cls):


   '''simple docstring'''




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



 def   lowercase__  (       self):


   '''simple docstring'''




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



class    _snake_case (						unittest.TestCase				):


 def   lowercase__  (       self):


   '''simple docstring'''




   super().tearDown()
   # Reset the state of the AcceleratorState singleton.
   AcceleratorState._reset_state()
   PartialState._reset_state()



class    _snake_case (						unittest.TestCase				):


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__	: Dict     		=   mocks if isinstance(SCREAMING_SNAKE_CASE_       ,	(tuple, list)) else [mocks]
   for m in self.mocks:
     m.start()
     self.addCleanup(m.stop)

def 		UpperCamelCase						(   lowercase_ )		->						Dict:


  '''simple docstring'''






  lowercase__	: Tuple     		=   AcceleratorState()
  lowercase__	: Union[str, Any]     		=   tensor[None].clone().to(state.device )
  lowercase__	: List[str]     		=   gather(lowercase_ ).cpu()
  lowercase__	: List[Any]     		=   tensor[0].cpu()
  for i in range(tensors.shape[0] ):
    if not torch.equal(tensors[i]			,			lowercase_ ):
      return False
  return True



class    _snake_case :


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__	: Dict     		=   returncode
   lowercase__	: Dict     		=   stdout
   lowercase__	: str     		=   stderr

async def 		UpperCamelCase						(   lowercase_			,			lowercase_ )		->						List[str]:


  '''simple docstring'''






  while True:
    lowercase__	: str     		=   await stream.readline()
    if line:
      callback(lowercase_ )
    else:
      break

async def 		UpperCamelCase						(   lowercase_			,			lowercase_=None			,			lowercase_=None			,			lowercase_=None			,			lowercase_=False			,			lowercase_=False )		->						_RunOutput:


  '''simple docstring'''






  if echo:
    print("""\nRunning: """			,			""" """.join(lowercase_ ) )

  lowercase__	: int     		=   await asyncio.create_subprocess_exec(
      cmd[0]			,			*cmd[1:]			,			stdin=lowercase_			,			stdout=asyncio.subprocess.PIPE			,			stderr=asyncio.subprocess.PIPE			,			env=lowercase_			,			)

  # 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)

  lowercase__	: Optional[Any]     		=   []
  lowercase__	: Optional[Any]     		=   []

  def tee(lowercase_			,			lowercase_			,			lowercase_			,			lowercase_="" ):
    lowercase__	: Union[str, Any]     		=   line.decode("""utf-8""" ).rstrip()
    sink.append(lowercase_ )
    if not quiet:
      print(lowercase_			,			lowercase_			,			file=lowercase_ )

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

def 		UpperCamelCase						(   lowercase_			,			lowercase_=None			,			lowercase_=None			,			lowercase_=1_80			,			lowercase_=False			,			lowercase_=True )		->						_RunOutput:


  '''simple docstring'''






  lowercase__	: Dict     		=   asyncio.get_event_loop()
  lowercase__	: List[str]     		=   loop.run_until_complete(
      _stream_subprocess(lowercase_			,			env=lowercase_			,			stdin=lowercase_			,			timeout=lowercase_			,			quiet=lowercase_			,			echo=lowercase_ ) )

  lowercase__	: Dict     		=   """ """.join(lowercase_ )
  if result.returncode > 0:
    lowercase__	: Optional[Any]     		=   """\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    _snake_case (						UpperCAmelCase_				):
 pass

def 		UpperCamelCase						(   lowercase_			,			lowercase_=False )		->						Union[str, Any]:


  '''simple docstring'''






  try:
    lowercase__	: Optional[Any]     		=   subprocess.check_output(lowercase_			,			stderr=subprocess.STDOUT )
    if return_stdout:
      if hasattr(lowercase_			,			"""decode""" ):
        lowercase__	: Tuple     		=   output.decode("""utf-8""" )
      return output
  except subprocess.CalledProcessError as e:
    raise SubprocessCallException(
        F'Command `{" ".join(lowercase_ )}` failed with the following error:\n\n{e.output.decode()}' ) from e










"""simple docstring"""






import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin






@require_jieba
class      A(  lowerCamelCase__				,							unittest.TestCase		):

		"""simple docstring"""





		A    =							CpmAntTokenizer
		A    =							False
		def   _UpperCamelCase( self   )      ->	Union[str, Any]:

					"""simple docstring"""



					super().setUp()

					_UpperCamelCase					:str					     =	[
					    '''<d>''',
					    '''</d>''',
					    '''<s>''',
					    '''</s>''',
					    '''</_>''',
					    '''<unk>''',
					    '''<pad>''',
					    '''</n>''',
					    '''我''',
					    '''是''',
					    '''C''',
					    '''P''',
					    '''M''',
					    '''A''',
					    '''n''',
					    '''t''',
					]
					_UpperCamelCase					:List[str]					     =	os.path.join(self.tmpdirname					,				VOCAB_FILES_NAMES['''vocab_file''']   )
					with open(self.vocab_file					,				'''w'''					,				encoding='''utf-8'''   ) as vocab_writer:
								vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]   )   )





		@tooslow
		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					_UpperCamelCase					:Any					     =	CpmAntTokenizer.from_pretrained('''openbmb/cpm-ant-10b'''   )
					_UpperCamelCase					:List[str]					     =	'''今天天气真好！'''
					_UpperCamelCase					:Tuple					     =	['''今天''', '''天气''', '''真''', '''好''', '''！''']
					_UpperCamelCase					:Tuple					     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE__   )
					self.assertListEqual(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Dict					     =	'''今天天气真好！'''
					_UpperCamelCase					:Optional[int]					     =	[tokenizer.bos_token] + tokens

					_UpperCamelCase					:List[str]					     =	[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )					,				SCREAMING_SNAKE_CASE__   )

					_UpperCamelCase					:str					     =	tokenizer.decode(SCREAMING_SNAKE_CASE__   )
					self.assertEqual(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )

