




import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 		A__				(   __SCREAMING_SNAKE_CASE		,     unittest.TestCase ):
	lowerCamelCase__		: Any				    =HerbertTokenizer
	lowerCamelCase__		: str				    =HerbertTokenizerFast
	lowerCamelCase__		: Dict				    =True






	def  lowercase      (	self						)      ->   Union[str, Any]:




						"""simple docstring"""






						super().setUp()

						# Use a simpler test file without japanese/chinese characters
						with open(F'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''				,     encoding='''utf-8'''						) as f_data:
											__magic_name__					:							Dict		   =							f_data.read().replace('''\n\n'''				,     '''\n'''						).strip()

						__magic_name__					:							Tuple		   =							[
						    '''<s>''',
						    '''</s>''',
						    '''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>''',
						    ''',</w>''',
						    '''<unk>''',
						]
						__magic_name__					:							List[str]		   =							dict(zip(lowerCamelCase				,     range(len(lowerCamelCase						)						)						)						)
						__magic_name__					:							List[Any]		   =							['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

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






	def  lowercase      (	self				,     lowerCamelCase						)      ->   Optional[Any]:




						"""simple docstring"""






						__magic_name__					:							List[Any]		   =							'''lower newer'''
						__magic_name__					:							List[str]		   =							'''lower newer'''
						return input_text, output_text






	def  lowercase      (	self						)      ->   Any:




						"""simple docstring"""






						__magic_name__					:							Optional[int]		   =							self.tokenizer_class(vocab_file=self.vocab_file				,     merges_file=self.merges_file						)

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

						__magic_name__					:							Any		   =							tokens + ['''<unk>''']
						__magic_name__					:							Dict		   =							[16, 17, 23]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase						)				,     lowerCamelCase						)






	def  lowercase      (	self						)      ->   Any:




						"""simple docstring"""






						if not self.test_rust_tokenizer:
											return

						__magic_name__					:							Union[str, Any]		   =							self.get_tokenizer()
						__magic_name__					:							Optional[Any]		   =							self.get_rust_tokenizer()

						__magic_name__					:							List[str]		   =							'''lower,newer'''

						__magic_name__					:							List[Any]		   =							tokenizer.tokenize(lowerCamelCase						)
						__magic_name__					:							List[str]		   =							rust_tokenizer.tokenize(lowerCamelCase						)
						self.assertListEqual(lowerCamelCase				,     lowerCamelCase						)

						__magic_name__					:							Dict		   =							tokenizer.encode(lowerCamelCase				,     add_special_tokens=lowerCamelCase						)
						__magic_name__					:							Tuple		   =							rust_tokenizer.encode(lowerCamelCase				,     add_special_tokens=lowerCamelCase						)
						self.assertListEqual(lowerCamelCase				,     lowerCamelCase						)

						__magic_name__					:							List[Any]		   =							self.get_rust_tokenizer()
						__magic_name__					:							Dict		   =							tokenizer.encode(lowerCamelCase						)
						__magic_name__					:							List[str]		   =							rust_tokenizer.encode(lowerCamelCase						)
						self.assertListEqual(lowerCamelCase				,     lowerCamelCase						)






	@slow
	def  lowercase      (	self						)      ->   Optional[int]:




						"""simple docstring"""






						__magic_name__					:							Tuple		   =							self.tokenizer_class.from_pretrained('''allegro/herbert-base-cased'''						)

						__magic_name__					:							Tuple		   =							tokenizer.encode('''konstruowanie sekwencji'''				,     add_special_tokens=lowerCamelCase						)
						__magic_name__					:							List[Any]		   =							tokenizer.encode('''konstruowanie wielu sekwencji'''				,     add_special_tokens=lowerCamelCase						)

						__magic_name__					:							Optional[Any]		   =							tokenizer.build_inputs_with_special_tokens(lowerCamelCase						)
						__magic_name__					:							Dict		   =							tokenizer.build_inputs_with_special_tokens(lowerCamelCase				,     lowerCamelCase						)

						assert encoded_sentence == [0] + text + [2]
						assert encoded_pair == [0] + text + [2] + text_a + [2]






"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__A     :    int    =		{'configuration_bit': ['BIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BitConfig', 'BitOnnxConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    Optional[Any]    =		[
	    'BIT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'BitForImageClassification',
	    'BitModel',
	    'BitPreTrainedModel',
	    'BitBackbone',
	]


try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    List[Any]    =		['BitImageProcessor']


if TYPE_CHECKING:
	from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_bit import (
		    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BitBackbone,
		    BitForImageClassification,
		    BitModel,
		    BitPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_bit import BitImageProcessor

else:
	import sys

	__A     :    Union[str, Any]    =		_LazyModule(__name__, globals()['__file__'], _import_structure)





