


'''simple docstring'''




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 			lowerCAmelCase					(					a   ,					unittest.TestCase				):
	_lowerCamelCase :       int         =			BertweetTokenizer
	_lowerCamelCase :       Union[str, Any]         =			False



	def 					lowercase  (       self     ):
		super().setUp()

		# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
		lowerCAmelCase       :     Optional[Any]   				=			['I', 'm', 'V@@', 'R@@', 'r', 'e@@']
		lowerCAmelCase       :     Union[str, Any]   				=			dict(zip(snake_case__			,       range(len(snake_case__     )     )     )     )
		lowerCAmelCase       :     Optional[Any]   				=			['#version: 0.2', 'a m</w>']
		lowerCAmelCase       :     Optional[Any]   				=			{'unk_token': '<unk>'}

		lowerCAmelCase       :     Optional[Any]   				=			os.path.join(self.tmpdirname			,       VOCAB_FILES_NAMES['vocab_file']     )
		lowerCAmelCase       :     Tuple   				=			os.path.join(self.tmpdirname			,       VOCAB_FILES_NAMES['merges_file']     )
		with open(self.vocab_file			,       'w'			,       encoding='utf-8'     ) as fp:
			for token in vocab_tokens:
				fp.write(f"{token} {vocab_tokens[token]}\n"     )
		with open(self.merges_file			,       'w'			,       encoding='utf-8'     ) as fp:
			fp.write('\n'.join(snake_case__     )     )



	def 					lowercase  (       self			,       **snake_case__     ):
		kwargs.update(self.special_tokens_map     )
		return BertweetTokenizer.from_pretrained(self.tmpdirname			,       **snake_case__     )



	def 					lowercase  (       self			,       snake_case__     ):
		lowerCAmelCase       :     List[Any]   				=			'I am VinAI Research'
		lowerCAmelCase       :     Optional[Any]   				=			'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
		return input_text, output_text



	def 					lowercase  (       self     ):
		lowerCAmelCase       :     List[str]   				=			BertweetTokenizer(self.vocab_file			,       self.merges_file			,       **self.special_tokens_map     )
		lowerCAmelCase       :     List[str]   				=			'I am VinAI Research'
		lowerCAmelCase       :     Union[str, Any]   				=			'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
		lowerCAmelCase       :     str   				=			tokenizer.tokenize(snake_case__     )
		self.assertListEqual(snake_case__			,       snake_case__     )

		lowerCAmelCase       :     Tuple   				=			tokens + [tokenizer.unk_token]

		lowerCAmelCase       :     Optional[int]   				=			[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
		self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__     )			,       snake_case__     )




'''simple docstring'''




from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available

def       __UpperCamelCase     (     _A     :					List[str]					)     ->   Any:




	"""simple docstring"""





	if is_torch_available():
		import torch

		if isinstance(_A       , torch.Tensor					):
			return True

	return isinstance(_A       , np.ndarray					)






class 			lowerCAmelCase					(					a				):



	def 					lowercase  (       self     ):
		lowerCAmelCase       :     List[str]   				=			fields(self     )

		# Safety and consistency checks
		if not len(snake_case__     ):
			raise ValueError(f"{self.__class__.__name__} has no fields."     )

		lowerCAmelCase       :     List[str]   				=			getattr(self			,       class_fields[0].name     )
		lowerCAmelCase       :     List[Any]   				=			all(getattr(self			,       field.name     ) is None for field in class_fields[1:]     )

		if other_fields_are_none and isinstance(snake_case__			,       snake_case__     ):
			for key, value in first_field.items():
				lowerCAmelCase       :     Optional[int]   				=			value
		else:
			for field in class_fields:
				lowerCAmelCase       :     str   				=			getattr(self			,       field.name     )
				if v is not None:
					lowerCAmelCase       :     Optional[Any]   				=			v



	def __delitem__(       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``__delitem__`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``setdefault`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``pop`` on a {self.__class__.__name__} instance."     )



	def 					lowercase  (       self			,       *snake_case__			,       **snake_case__     ):
		raise Exception(f"You cannot use ``update`` on a {self.__class__.__name__} instance."     )



	def __getitem__(       self			,       snake_case__     ):
		if isinstance(snake_case__			,       snake_case__     ):
			lowerCAmelCase       :     Dict   				=			dict(self.items()     )
			return inner_dict[k]
		else:
			return self.to_tuple()[k]



	def __setattr__(       self			,       snake_case__			,       snake_case__     ):
		if name in self.keys() and value is not None:
			# Don't call self.__setitem__ to avoid recursion errors
			super().__setitem__(snake_case__			,       snake_case__     )
		super().__setattr__(snake_case__			,       snake_case__     )



	def __setitem__(       self			,       snake_case__			,       snake_case__     ):
		# Will raise a KeyException if needed
		super().__setitem__(snake_case__			,       snake_case__     )
		# Don't call self.__setattr__ to avoid recursion errors
		super().__setattr__(snake_case__			,       snake_case__     )



	def 					lowercase  (       self     ):
		return tuple(self[k] for k in self.keys()     )
