






'''simple docstring'''







import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin

class _lowercase			(       _lowercase       ,   unittest.TestCase	):

							'''simple docstring'''





							a          = XLMTokenizer
							a          = False




							def 	lowerCamelCase_       (							self:       Optional[Any]  ):
														super().setUp()

														# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
														lowerCamelCase__      :			Union[str, Any] 						= [
														    """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>""",
														]
														lowerCamelCase__      :			Any 						= dict(zip(UpperCamelCase__    ,							range(len(UpperCamelCase__  )  )  )  )
														lowerCamelCase__      :			Optional[Any] 						= ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

														lowerCamelCase__      :			Tuple 						= os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES["""vocab_file"""]  )
														lowerCamelCase__      :			Dict 						= os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES["""merges_file"""]  )
														with open(self.vocab_file    ,							"""w"""  ) as fp:
																					fp.write(json.dumps(UpperCamelCase__  )  )
														with open(self.merges_file    ,							"""w"""  ) as fp:
																					fp.write("""\n""".join(UpperCamelCase__  )  )




							def 	lowerCamelCase_       (							self:       Tuple    ,							UpperCamelCase__:       Optional[int]  ):
														lowerCamelCase__      :			Tuple 						= """lower newer"""
														lowerCamelCase__      :			List[Any] 						= """lower newer"""
														return input_text, output_text




							def 	lowerCamelCase_       (							self:       List[Any]  ):
														lowerCamelCase__      :			Union[str, Any] 						= XLMTokenizer(self.vocab_file    ,							self.merges_file  )

														lowerCamelCase__      :			str 						= """lower"""
														lowerCamelCase__      :			int 						= ["""low""", """er</w>"""]
														lowerCamelCase__      :			str 						= tokenizer.tokenize(UpperCamelCase__  )
														self.assertListEqual(UpperCamelCase__    ,							UpperCamelCase__  )

														lowerCamelCase__      :			Tuple 						= tokens + ["""<unk>"""]
														lowerCamelCase__      :			str 						= [14, 15, 20]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__  )    ,							UpperCamelCase__  )




							@slow
							def 	lowerCamelCase_       (							self:       List[str]  ):
														lowerCamelCase__      :			List[str] 						= XLMTokenizer.from_pretrained("""xlm-mlm-en-2048"""  )

														lowerCamelCase__      :			Tuple 						= tokenizer.encode("""sequence builders"""    ,							add_special_tokens=UpperCamelCase__  )
														lowerCamelCase__      :			Optional[int] 						= tokenizer.encode("""multi-sequence build"""    ,							add_special_tokens=UpperCamelCase__  )

														lowerCamelCase__      :			Any 						= tokenizer.build_inputs_with_special_tokens(UpperCamelCase__  )
														lowerCamelCase__      :			List[Any] 						= tokenizer.build_inputs_with_special_tokens(UpperCamelCase__    ,							UpperCamelCase__  )

														assert encoded_sentence == [0] + text + [1]
														assert encoded_pair == [0] + text + [1] + text_a + [1]









'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A			:    Optional[Any]					  =logging.get_logger(__name__)

_A			:    Optional[int]					  ={
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}

class _lowercase			(       _lowercase	):
							a          = """rwkv"""
							a          = {"""max_position_embeddings""": """context_length"""}




							def __init__(							self:       Tuple    ,							UpperCamelCase__:       Optional[Any]=50_277    ,							UpperCamelCase__:       Union[str, Any]=1_024    ,							UpperCamelCase__:       Tuple=4_096    ,							UpperCamelCase__:       List[Any]=32    ,							UpperCamelCase__:       Dict=None    ,							UpperCamelCase__:       Dict=None    ,							UpperCamelCase__:       int=1e-5    ,							UpperCamelCase__:       Any=0    ,							UpperCamelCase__:       str=0    ,							UpperCamelCase__:       Union[str, Any]=6    ,							UpperCamelCase__:       Optional[int]=False    ,							UpperCamelCase__:       Dict=True    ,							**UpperCamelCase__:       Dict    ,							):
														lowerCamelCase__      :			Dict 						= vocab_size
														lowerCamelCase__      :			Optional[Any] 						= context_length
														lowerCamelCase__      :			Optional[Any] 						= hidden_size
														lowerCamelCase__      :			Any 						= num_hidden_layers
														lowerCamelCase__      :			int 						= attention_hidden_size if attention_hidden_size is not None else hidden_size
														lowerCamelCase__      :			Union[str, Any] 						= intermediate_size if intermediate_size is not None else 4 * hidden_size
														lowerCamelCase__      :			List[str] 						= layer_norm_epsilon
														lowerCamelCase__      :			int 						= rescale_every
														lowerCamelCase__      :			Optional[int] 						= use_cache

														lowerCamelCase__      :			Dict 						= bos_token_id
														lowerCamelCase__      :			Any 						= eos_token_id

														super().__init__(
														    tie_word_embeddings=UpperCamelCase__    ,							bos_token_id=UpperCamelCase__    ,							eos_token_id=UpperCamelCase__    ,							**UpperCamelCase__  )

