


'''simple docstring'''

import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin
class     __lowerCAmelCase		(A__    ,	unittest.TestCase	):





      '''simple docstring'''






      lowerCAmelCase__   :	Any       =				BlenderbotSmallTokenizer
      lowerCAmelCase__   :	Tuple       =				False



      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             super().setUp()

             lowercase__      =					['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
             lowercase__      =					dict(zip(snake_case_  ,		range(len(snake_case_					)					)					)					)

             lowercase__      =					['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
             lowercase__      =					{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

             lowercase__      =					os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES['''vocab_file''']					)
             lowercase__      =					os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES['''merges_file''']					)
             with open(self.vocab_file  ,		'''w'''  ,		encoding='''utf-8'''					) as fp:
                    fp.write(json.dumps(snake_case_					) + '''\n'''					)
             with open(self.merges_file  ,		'''w'''  ,		encoding='''utf-8'''					) as fp:
                    fp.write('''\n'''.join(snake_case_					)					)



      def  UpperCamelCase__						(self       :       Optional[Any]  ,		**UpperCamelCase       :       Dict					):

             '''simple docstring'''







             kwargs.update(self.special_tokens_map					)
             return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname  ,		**snake_case_					)



      def  UpperCamelCase__						(self       :       str  ,		UpperCamelCase       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					'''adapt act apte'''
             lowercase__      =					'''adapt act apte'''
             return input_text, output_text



      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             lowercase__      =					BlenderbotSmallTokenizer(self.vocab_file  ,		self.merges_file  ,		**self.special_tokens_map					)
             lowercase__      =					'''adapt act apte'''
             lowercase__      =					['''adapt''', '''act''', '''ap@@''', '''te''']
             lowercase__      =					tokenizer.tokenize(snake_case_					)
             self.assertListEqual(snake_case_  ,		snake_case_					)

             lowercase__      =					[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

             lowercase__      =					[0, 1, 2, 3, 4, 5]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_					)  ,		snake_case_					)



      def  UpperCamelCase__						(self       :       Union[str, Any]					):

             '''simple docstring'''







             lowercase__      =					BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''					)
             assert tok('''sam'''					).input_ids == [1384]
             lowercase__      =					'''I am a small frog.'''
             lowercase__      =					tok([src_text]  ,		padding=snake_case_  ,		truncation=snake_case_					)['''input_ids''']
             lowercase__      =					tok.batch_decode(snake_case_  ,		skip_special_tokens=snake_case_  ,		clean_up_tokenization_spaces=snake_case_					)[0]
             assert src_text != decoded  # I wish it did!
             assert decoded == "i am a small frog ."






      def  UpperCamelCase__						(self       :       Tuple					):

             '''simple docstring'''







             lowercase__      =					BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''					)
             lowercase__      =					'''I am a small frog .'''
             lowercase__      =					'''.'''
             lowercase__      =					tok(snake_case_					)['''input_ids''']
             lowercase__      =					tok(snake_case_					)['''input_ids''']

             assert encoded[-1] == encoded_dot[0]






"""simple docstring"""
import os
import socket
from contextlib import contextmanager

import torch

from ..commands.config.default import write_basic_config  # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .transformer_engine import convert_model
from .versions import is_torch_version


if is_deepspeed_available():
			from deepspeed import DeepSpeedEngine

if is_tpu_available(check_device=False):
			import torch_xla.core.xla_model as xm

def  lowercase     (_lowerCAmelCase						):
						if is_torch_version("""<""" ,    """2.0.0"""						) or not hasattr(_lowerCAmelCase ,    """_dynamo"""						):
												return False
						return isinstance(_lowerCAmelCase ,    torch._dynamo.eval_frame.OptimizedModule						)

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase = True						):
						__lowerCAmelCase     =  (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

						__lowerCAmelCase     =  is_compiled_module(_lowerCAmelCase						)
						if is_compiled:
												__lowerCAmelCase     =  model
												__lowerCAmelCase     =  model._orig_mod

						if is_deepspeed_available():
												options += (DeepSpeedEngine,)

						while isinstance(_lowerCAmelCase ,    _lowerCAmelCase						):
												__lowerCAmelCase     =  model.module

						if not keep_fpaa_wrapper:
												__lowerCAmelCase     =  getattr(_lowerCAmelCase ,    """forward"""						)
												__lowerCAmelCase     =  model.__dict__.pop("""_original_forward""" ,    _lowerCAmelCase						)
												if original_forward is not None:
																		while hasattr(_lowerCAmelCase ,    """__wrapped__"""						):
																								__lowerCAmelCase     =  forward.__wrapped__
																								if forward == original_forward:
																														break
																		__lowerCAmelCase     =  forward
												if getattr(_lowerCAmelCase ,    """_converted_to_transformer_engine""" ,    _lowerCAmelCase						):
																		convert_model(_lowerCAmelCase ,    to_transformer_engine=_lowerCAmelCase						)

						if is_compiled:
												__lowerCAmelCase     =  model
												__lowerCAmelCase     =  compiled_model

						return model

def  lowercase     ():
						PartialState().wait_for_everyone()

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						if PartialState().distributed_type == DistributedType.TPU:
												xm.save(_lowerCAmelCase ,    _lowerCAmelCase						)
						elif PartialState().local_process_index == 0:
												torch.save(_lowerCAmelCase ,    _lowerCAmelCase						)

@contextmanager
def  lowercase     (**_lowerCAmelCase						):
						for key, value in kwargs.items():
												__lowerCAmelCase     =  str(_lowerCAmelCase						)

						yield

						for key in kwargs:
												if key.upper() in os.environ:
																		del os.environ[key.upper()]

def  lowercase     (_lowerCAmelCase						):
						if not hasattr(_lowerCAmelCase ,    """__qualname__"""						) and not hasattr(_lowerCAmelCase ,    """__name__"""						):
												__lowerCAmelCase     =  getattr(_lowerCAmelCase ,    """__class__""" ,    _lowerCAmelCase						)
						if hasattr(_lowerCAmelCase ,    """__qualname__"""						):
												return obj.__qualname__
						if hasattr(_lowerCAmelCase ,    """__name__"""						):
												return obj.__name__
						return str(_lowerCAmelCase						)

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						for key, value in source.items():
												if isinstance(_lowerCAmelCase ,    _lowerCAmelCase						):
																		__lowerCAmelCase     =  destination.setdefault(_lowerCAmelCase ,    {}						)
																		merge_dicts(_lowerCAmelCase ,    _lowerCAmelCase						)
												else:
																		__lowerCAmelCase     =  value

						return destination



def  lowercase     (_lowerCAmelCase = None						):
						if port is None:
												__lowerCAmelCase     =  2_9500
						with socket.socket(socket.AF_INET ,    socket.SOCK_STREAM						) as s:
												return s.connect_ex(("""localhost""", port)						) == 0
