





import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class  __lowerCAmelCase	(      _a,					unittest.TestCase					):
			lowerCamelCase_					:					Dict	      =				BioGptTokenizer
			lowerCamelCase_					:					Optional[Any]	      =				False






			def       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							snake_case_						:   Optional[int]           =  [
							    '''l''',
							    '''o''',
							    '''w''',
							    '''e''',
							    '''r''',
							    '''s''',
							    '''t''',
							    '''i''',
							    '''d''',
							    '''n''',
							    '''w</w>''',
							    '''r</w>''',
							    '''t</w>''',
							    '''lo''',
							    '''low''',
							    '''er</w>''',
							    '''low</w>''',
							    '''lowest</w>''',
							    '''newer</w>''',
							    '''wider</w>''',
							    '''<unk>''',
							]
							snake_case_						:   str           =  dict(zip(__magic_name__ ,							range(len(__magic_name__   )   )   )   )
							snake_case_						:   Dict           =  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

							snake_case_						:   List[str]           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''vocab_file''']   )
							snake_case_						:   List[Any]           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''merges_file''']   )
							with open(self.vocab_file ,							'''w'''   ) as fp:
											fp.write(json.dumps(__magic_name__   )   )
							with open(self.merges_file ,							'''w'''   ) as fp:
											fp.write('''\n'''.join(__magic_name__   )   )






			def       lowerCamelCase  (self ,							__magic_name__   )					->       List[str]:


							'''simple docstring'''



							snake_case_						:   Tuple           =  '''lower newer'''
							snake_case_						:   Union[str, Any]           =  '''lower newer'''
							return input_text, output_text






			def       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							snake_case_						:   int           =  BioGptTokenizer(self.vocab_file ,							self.merges_file   )

							snake_case_						:   str           =  '''lower'''
							snake_case_						:   List[str]           =  ['''low''', '''er</w>''']
							snake_case_						:   Optional[int]           =  tokenizer.tokenize(__magic_name__   )
							self.assertListEqual(__magic_name__ ,							__magic_name__   )

							snake_case_						:   str           =  tokens + ['''<unk>''']
							snake_case_						:   int           =  [14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__   ) ,							__magic_name__   )






			@slow
			def       lowerCamelCase  (self   )					->       List[str]:


							'''simple docstring'''



							snake_case_						:   Union[str, Any]           =  BioGptTokenizer.from_pretrained('''microsoft/biogpt'''   )

							snake_case_						:   List[str]           =  tokenizer.encode('''sequence builders''' ,							add_special_tokens=__magic_name__   )
							snake_case_						:   Union[str, Any]           =  tokenizer.encode('''multi-sequence build''' ,							add_special_tokens=__magic_name__   )

							snake_case_						:   Dict           =  tokenizer.build_inputs_with_special_tokens(__magic_name__   )
							snake_case_						:   int           =  tokenizer.build_inputs_with_special_tokens(__magic_name__ ,							__magic_name__   )

							self.assertTrue(encoded_sentence == [2] + text   )
							self.assertTrue(encoded_pair == [2] + text + [2] + text_a   )







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 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=False			)		->						int:






				"""simple docstring"""


				try:
								snake_case_						:   Optional[Any]           =  os.environ[key]
				except KeyError:
								# KEY isn't set, default to `default`.
								snake_case_						:   Tuple           =  default
				else:
								# KEY is set, convert it to True or False.
								try:
												snake_case_						:   Union[str, Any]           =  strtobool(_UpperCamelCase			)
								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_    =    parse_flag_from_env('''RUN_SLOW''', default=False)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						List[Any]:






				"""simple docstring"""


				return unittest.skip('''Test was skipped'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Optional[int]:






				"""simple docstring"""


				return unittest.skipUnless(_run_slow_tests			,    '''test is slow'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Dict:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						int:






				"""simple docstring"""


				return unittest.skipUnless(torch.cuda.is_available()			,    '''test requires a GPU'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						str:






				"""simple docstring"""


				return unittest.skipUnless(is_xpu_available()			,    '''test requires a XPU'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						List[Any]:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Optional[Any]:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Any:






				"""simple docstring"""


				return unittest.skipUnless(is_bnb_available()			,    '''test requires the bitsandbytes library'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						List[Any]:






				"""simple docstring"""


				return unittest.skipUnless(is_tpu_available()			,    '''test requires TPU'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						List[Any]:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						int:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Any:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Any:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						str:






				"""simple docstring"""


				return unittest.skipUnless(is_safetensors_available()			,    '''test requires safetensors'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						int:






				"""simple docstring"""


				return unittest.skipUnless(is_deepspeed_available()			,    '''test requires DeepSpeed'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Any:






				"""simple docstring"""


				return unittest.skipUnless(is_torch_version('''>='''			,    '''1.12.0'''			)			,    '''test requires torch version >= 1.12.0'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase=None			,    _UpperCamelCase=None			)		->						Tuple:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						int:






				"""simple docstring"""


				return unittest.skipUnless(is_tensorboard_available()			,    '''test requires Tensorboard'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Optional[int]:






				"""simple docstring"""


				return unittest.skipUnless(is_wandb_available()			,    '''test requires wandb'''			)(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Union[str, Any]:






				"""simple docstring"""


				return unittest.skipUnless(is_comet_ml_available()			,    '''test requires comet_ml'''			)(_UpperCamelCase			)


lowerCAmelCase_    =    (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						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'''			,    )(_UpperCamelCase			)



class  __lowerCAmelCase	(      unittest.TestCase					):
			lowerCamelCase_					:					str	      =				True






			@classmethod
			def       lowerCamelCase  (cls   )					->       List[Any]:


							'''simple docstring'''



							snake_case_						:   Any           =  tempfile.mkdtemp()






			@classmethod
			def       lowerCamelCase  (cls   )					->       List[Any]:


							'''simple docstring'''



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






			def       lowerCamelCase  (self   )					->       Optional[int]:


							'''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(__magic_name__   )




class  __lowerCAmelCase	(      unittest.TestCase					):






			def       lowerCamelCase  (self   )					->       int:


							'''simple docstring'''



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




class  __lowerCAmelCase	(      unittest.TestCase					):






			def       lowerCamelCase  (self ,							__magic_name__   )					->       Dict:


							'''simple docstring'''



							snake_case_						:   str           =  mocks if isinstance(__magic_name__ ,							(tuple, list)   ) else [mocks]
							for m in self.mocks:
											m.start()
											self.addCleanup(m.stop   )






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						List[str]:






				"""simple docstring"""


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



class  __lowerCAmelCase	:






			def __init__(self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__   )					->       Optional[Any]:


							'''simple docstring'''



							snake_case_						:   Any           =  returncode
							snake_case_						:   List[Any]           =  stdout
							snake_case_						:   Tuple           =  stderr






async def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			)		->						str:






				"""simple docstring"""


				while True:
								snake_case_						:   Tuple           =  await stream.readline()
								if line:
												callback(_UpperCamelCase			)
								else:
												break






async def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=None			,    _UpperCamelCase=None			,    _UpperCamelCase=None			,    _UpperCamelCase=False			,    _UpperCamelCase=False			)		->						_RunOutput:






				"""simple docstring"""


				if echo:
								print('''\nRunning: '''			,    ''' '''.join(_UpperCamelCase			)			)

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

				# 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)

				snake_case_						:   List[Any]           =  []
				snake_case_						:   List[Any]           =  []

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

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






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=None			,    _UpperCamelCase=None			,    _UpperCamelCase=180			,    _UpperCamelCase=False			,    _UpperCamelCase=True			)		->						_RunOutput:






				"""simple docstring"""


				snake_case_						:   List[str]           =  asyncio.get_event_loop()
				snake_case_						:   List[Any]           =  loop.run_until_complete(
				    _stream_subprocess(_UpperCamelCase			,    env=_UpperCamelCase			,    stdin=_UpperCamelCase			,    timeout=_UpperCamelCase			,    quiet=_UpperCamelCase			,    echo=_UpperCamelCase			)			)

				snake_case_						:   Optional[int]           =  ''' '''.join(_UpperCamelCase			)
				if result.returncode > 0:
								snake_case_						:   Union[str, 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  __lowerCAmelCase	(      _a					):
			pass






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=False			)		->						List[Any]:






				"""simple docstring"""


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