
'''simple docstring'''

import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase__				:	Optional[int]					=						logging.get_logger(__name__)

UpperCAmelCase__				:	List[Any]					=						{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCAmelCase__				:	List[Any]					=						{
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

UpperCAmelCase__				:	Tuple					=						{
    "microsoft/biogpt": 10_24,
}







def 					A       ( UpperCamelCase_   :       Optional[Any] )   ->    Optional[Any]:







			'''simple docstring'''



			lowerCAmelCase__									=							set()
			lowerCAmelCase__									=							word[0]
			for char in word[1:]:
						pairs.add((prev_char, char) )
						lowerCAmelCase__									=							char
			return pairs






class 				A       (		SCREAMING_SNAKE_CASE__      ):
	snake_case__ :List[str]				       =       VOCAB_FILES_NAMES
	snake_case__ :int				       =       PRETRAINED_VOCAB_FILES_MAP
	snake_case__ :Tuple				       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__ :int				       =       ['input_ids', 'attention_mask']





	def __init__(   self     :    Dict ,							__magic_name__     :    List[Any] ,							__magic_name__     :    List[Any] ,							__magic_name__     :    List[str]="<unk>" ,							__magic_name__     :    Optional[Any]="<s>" ,							__magic_name__     :    Dict="</s>" ,							__magic_name__     :    Optional[Any]="</s>" ,							__magic_name__     :    str="<pad>" ,							**__magic_name__     :    Union[str, Any] ,							):


				"""simple docstring"""

				super().__init__(
				    bos_token=__magic_name__ ,							eos_token=__magic_name__ ,							sep_token=__magic_name__ ,							unk_token=__magic_name__ ,							pad_token=__magic_name__ ,							**__magic_name__ ,							)

				try:
							import sacremoses
				except ImportError:
							raise ImportError(
							    "You need to install sacremoses to use BioGptTokenizer. "
							    "See https://pypi.org/project/sacremoses/ for installation."							)

				lowerCAmelCase__									=							"en"
				lowerCAmelCase__									=							sacremoses
				# cache of sm.MosesTokenizer instance
				lowerCAmelCase__									=							{}
				lowerCAmelCase__									=							{}
				with open(__magic_name__ ,							encoding="utf-8"							) as vocab_handle:
							lowerCAmelCase__									=							json.load(__magic_name__							)
				lowerCAmelCase__									=							{v: k for k, v in self.encoder.items()}
				with open(__magic_name__ ,							encoding="utf-8"							) as merges_handle:
							lowerCAmelCase__									=							merges_handle.read().split("\n"							)[:-1]
				lowerCAmelCase__									=							[tuple(merge.split()[:2]							) for merge in merges]
				lowerCAmelCase__									=							dict(zip(__magic_name__ ,							range(len(__magic_name__							)							)							)							)
				lowerCAmelCase__									=							{}





	@property
	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				return len(self.encoder							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Any							):


				"""simple docstring"""

				return dict(self.encoder ,							**self.added_tokens_encoder							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Tuple ,							__magic_name__     :    Union[str, Any] ,							__magic_name__     :    Optional[Any]							):


				"""simple docstring"""

				if lang not in self.cache_moses_tokenizer:
							lowerCAmelCase__									=							self.sm.MosesTokenizer(lang=__magic_name__							)
							lowerCAmelCase__									=							moses_tokenizer
				return self.cache_moses_tokenizer[lang].tokenize(
				    __magic_name__ ,							aggressive_dash_splits=__magic_name__ ,							return_str=__magic_name__ ,							escape=__magic_name__							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[int] ,							__magic_name__     :    List[Any] ,							__magic_name__     :    Dict							):


				"""simple docstring"""

				if lang not in self.cache_moses_detokenizer:
							lowerCAmelCase__									=							self.sm.MosesDetokenizer(lang=__magic_name__							)
							lowerCAmelCase__									=							moses_detokenizer
				return self.cache_moses_detokenizer[lang].detokenize(__magic_name__							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    str ,							__magic_name__     :    Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__									=							tuple(token[:-1]							) + (token[-1] + "</w>",)
				if token in self.cache:
							return self.cache[token]
				lowerCAmelCase__									=							get_pairs(__magic_name__							)

				if not pairs:
							return token + "</w>"

				while True:
							lowerCAmelCase__									=							min(__magic_name__ ,							key=lambda __magic_name__							: self.bpe_ranks.get(__magic_name__ ,							float("inf"							)							)							)
							if bigram not in self.bpe_ranks:
										break
							lowerCAmelCase__		,lowerCAmelCase__									=							bigram
							lowerCAmelCase__									=							[]
							lowerCAmelCase__									=							0
							while i < len(__magic_name__							):
										try:
													lowerCAmelCase__									=							word.index(__magic_name__ ,							__magic_name__							)
										except ValueError:
													new_word.extend(word[i:]							)
													break
										else:
													new_word.extend(word[i:j]							)
													lowerCAmelCase__									=							j

										if word[i] == first and i < len(__magic_name__							) - 1 and word[i + 1] == second:
													new_word.append(first + second							)
													i += 2
										else:
													new_word.append(word[i]							)
													i += 1
							lowerCAmelCase__									=							tuple(__magic_name__							)
							lowerCAmelCase__									=							new_word
							if len(__magic_name__							) == 1:
										break
							else:
										lowerCAmelCase__									=							get_pairs(__magic_name__							)
				lowerCAmelCase__									=							" ".join(__magic_name__							)
				if word == "\n  </w>":
							lowerCAmelCase__									=							"\n</w>"
				lowerCAmelCase__									=							word
				return word





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Dict ,							__magic_name__     :    Union[str, Any] ,							__magic_name__     :    int=False							):


				"""simple docstring"""

				if bypass_tokenizer:
							lowerCAmelCase__									=							text.split()
				else:
							lowerCAmelCase__									=							self.moses_tokenize(__magic_name__ ,							self.lang							)

				lowerCAmelCase__									=							[]
				for token in text:
							if token:
										split_tokens.extend(list(self.bpe(__magic_name__							).split(" "							)							)							)

				return split_tokens





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Union[str, Any] ,							__magic_name__     :    Tuple							):


				"""simple docstring"""

				return self.encoder.get(__magic_name__ ,							self.encoder.get(self.unk_token							)							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[Any] ,							__magic_name__     :    Tuple							):


				"""simple docstring"""

				return self.decoder.get(__magic_name__ ,							self.unk_token							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Any ,							__magic_name__     :    Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__									=							[t.replace(" " ,							""							).replace("</w>" ,							" "							) for t in tokens]
				lowerCAmelCase__									=							"".join(__magic_name__							).split()
				# detokenize
				lowerCAmelCase__									=							self.moses_detokenize(__magic_name__ ,							self.lang							)
				return text





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Tuple ,							__magic_name__     :    List[int] ,							__magic_name__     :    Optional[List[int]] = None							):


				"""simple docstring"""

				if token_ids_a is None:
							return [self.sep_token_id] + token_ids_a
				lowerCAmelCase__									=							[self.sep_token_id]
				return sep + token_ids_a + sep + token_ids_a





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Any ,							__magic_name__     :    List[int] ,							__magic_name__     :    Optional[List[int]] = None ,							__magic_name__     :    bool = False							):


				"""simple docstring"""

				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=__magic_name__ ,							token_ids_a=__magic_name__ ,							already_has_special_tokens=__magic_name__							)
				# no bos used in fairseq
				if token_ids_a is not None:
							return [1] + ([0] * len(__magic_name__							)) + [1] + ([0] * len(__magic_name__							))
				return [1] + ([0] * len(__magic_name__							))





	def 							__SCREAMING_SNAKE_CASE					(   self     :    str ,							__magic_name__     :    List[int] ,							__magic_name__     :    Optional[List[int]] = None							):


				"""simple docstring"""

				lowerCAmelCase__									=							[self.sep_token_id]

				# no bos used in fairseq
				if token_ids_a is None:
							return len(token_ids_a + sep							) * [0]
				return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]





	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any] ,							__magic_name__     :    str ,							__magic_name__     :    Optional[str] = None							):


				"""simple docstring"""

				if not os.path.isdir(__magic_name__							):
							logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
							return
				lowerCAmelCase__									=							os.path.join(
				    __magic_name__ ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
				lowerCAmelCase__									=							os.path.join(
				    __magic_name__ ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]							)

				with open(__magic_name__ ,							"w" ,							encoding="utf-8"							) as f:
							f.write(json.dumps(self.encoder ,							indent=2 ,							sort_keys=__magic_name__ ,							ensure_ascii=__magic_name__							) + "\n"							)

				lowerCAmelCase__									=							0
				with open(__magic_name__ ,							"w" ,							encoding="utf-8"							) as writer:
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,							key=lambda __magic_name__							: kv[1]							):
										if index != token_index:
													logger.warning(
													    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
													    " Please check that the tokenizer is not corrupted!"							)
													lowerCAmelCase__									=							token_index
										writer.write(" ".join(__magic_name__							) + "\n"							)
										index += 1

				return vocab_file, merge_file





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


				"""simple docstring"""

				lowerCAmelCase__									=							self.__dict__.copy()
				lowerCAmelCase__									=							None
				return state







	def __setstate__(   self     :    int ,							__magic_name__     :    Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__									=							d

				try:
							import sacremoses
				except ImportError:
							raise ImportError(
							    "You need to install sacremoses to use XLMTokenizer. "
							    "See https://pypi.org/project/sacremoses/ for installation."							)

				lowerCAmelCase__									=							sacremoses







'''simple docstring'''

import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types






class 				A       (		unittest.TestCase					, SCREAMING_SNAKE_CASE__      ):





	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any]							):


				"""simple docstring"""

				lowerCAmelCase__									=							load_tool("translation"							)
				self.tool.setup()
				lowerCAmelCase__									=							load_tool("translation" ,							remote=__magic_name__							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Tuple							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.tool("Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.remote_tool("Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any]							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.tool(text="Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.remote_tool(text="Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

				# There is a single output
				if len(self.tool.outputs							) == 1:
							lowerCAmelCase__									=							[outputs]

				self.assertListEqual(output_types(__magic_name__							) ,							self.tool.outputs							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    str							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

				if not isinstance(__magic_name__ ,							__magic_name__							):
							lowerCAmelCase__									=							[outputs]

				self.assertEqual(len(__magic_name__							) ,							len(self.tool.outputs							)							)

				for output, output_type in zip(__magic_name__ ,							self.tool.outputs							):
							lowerCAmelCase__									=							AGENT_TYPE_MAPPING[output_type]
							self.assertTrue(isinstance(__magic_name__ ,							__magic_name__							)							)







	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]

				lowerCAmelCase__									=							[]

				for _input, input_type in zip(__magic_name__ ,							self.tool.inputs							):
							if isinstance(__magic_name__ ,							__magic_name__							):
										_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input							) for _input_type in input_type]							)
							else:
										_inputs.append(AGENT_TYPE_MAPPING[input_type](_input							)							)

        # Should not raise an error
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

				if not isinstance(__magic_name__ ,							__magic_name__							):
							lowerCAmelCase__									=							[outputs]

				self.assertEqual(len(__magic_name__							) ,							len(self.tool.outputs							)							)





