
"""simple docstring"""




import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 		a__						(      a_,			unittest.TestCase						):
   __lowerCAmelCase            =				GPTSanJapaneseTokenizer
   __lowerCAmelCase            =				False
   __lowerCAmelCase            =				{"""do_clean_text""": False, """add_prefix_space""": False}
   def 			__magic_name__			(			self				):
          super().setUp()

          # fmt: off
          lowercase    :				Any       		=							["こん", "こんに", "にちは", "ばんは", "世界,㔺界", "、", "。", "<BR>", "<SP>", "<TAB>", "<URL>", "<EMAIL>", "<TEL>", "<DATE>", "<PRICE>", "<BLOCK>", "<KIGOU>", "<U2000U2BFF>", "<|emoji1|>", "<unk>", "<|bagoftoken|>", "<|endoftext|>"]
          # fmt: on
          lowercase    :				str       		=							{"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
          lowercase    :				List[Any]       		=							{"unk_token": "<unk>"}

          lowercase    :				str       		=							os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["vocab_file"]				)
          lowercase    :				Dict       		=							os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["emoji_file"]				)
          with open(self.vocab_file	,    "w"	,    encoding="utf-8"				) as vocab_writer:
                 vocab_writer.write("".join([x + "\n" for x in vocab_tokens]				)				)
          with open(self.emoji_file	,    "w"				) as emoji_writer:
                 emoji_writer.write(json.dumps(_a				)				)
   def 			__magic_name__			(			self	,    **_a				):
          kwargs.update(self.special_tokens_map				)
          return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname	,    **_a				)
   def 			__magic_name__			(			self	,    _a				):
          lowercase    :				Dict       		=							"こんにちは、世界。 \nこんばんは、㔺界。😀"
          lowercase    :				str       		=							"こんにちは、世界。 \nこんばんは、世界。😀"
          return input_text, output_text
   def 			__magic_name__			(			self	,    _a				):
          lowercase		,    lowercase    :				str       		=							self.get_input_output_texts(_a				)
          lowercase    :				List[str]       		=							tokenizer.encode(_a	,    add_special_tokens=_a				)
          lowercase    :				Optional[Any]       		=							tokenizer.decode(_a	,    clean_up_tokenization_spaces=_a				)
          return text, ids
   def 			__magic_name__			(			self				):
          pass  # TODO add if relevant
   def 			__magic_name__			(			self				):
          pass  # TODO add if relevant
   def 			__magic_name__			(			self				):
          pass  # TODO add if relevant
   def 			__magic_name__			(			self				):
          lowercase    :				List[str]       		=							self.get_tokenizer()

          # Testing tokenization
          lowercase    :				Optional[Any]       		=							"こんにちは、世界。　こんばんは、㔺界。"
          lowercase    :				int       		=							["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
          lowercase    :				List[str]       		=							tokenizer.tokenize(_a				)
          self.assertListEqual(_a	,    _a				)

          # Testing conversion to ids without special tokens
          lowercase    :				int       		=							[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
          lowercase    :				Optional[int]       		=							tokenizer.convert_tokens_to_ids(_a				)
          self.assertListEqual(_a	,    _a				)

          # Testing conversion to ids with special tokens
          lowercase    :				List[Any]       		=							tokens + [tokenizer.unk_token]
          lowercase    :				str       		=							[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
          lowercase    :				List[Any]       		=							tokenizer.convert_tokens_to_ids(_a				)
          self.assertListEqual(_a	,    _a				)
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							self.get_tokenizer()

          # Testing tokenization
          lowercase    :				Union[str, Any]       		=							"こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"
          lowercase    :				str       		=							"こんにちは、、、、世界。こんばんは、、、、世界。"
          lowercase    :				List[str]       		=							tokenizer.encode(_a				)
          lowercase    :				List[str]       		=							tokenizer.decode(_a				)
          self.assertEqual(_a	,    _a				)
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				List[str]       		=							self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"				)

          # Testing tokenization
          lowercase    :				int       		=							"こんにちは、世界。"
          lowercase    :				List[Any]       		=							"こんばんは、㔺界。😀"
          lowercase    :				Dict       		=							"こんにちは、世界。こんばんは、世界。😀"
          lowercase    :				str       		=							tokenizer.encode(prefix_text + input_text				)
          lowercase    :				Optional[Any]       		=							tokenizer.encode(""	,    prefix_text=prefix_text + input_text				)
          lowercase    :				Dict       		=							tokenizer.encode(_a	,    prefix_text=_a				)
          lowercase    :				str       		=							tokenizer.decode(_a				)
          lowercase    :				Union[str, Any]       		=							tokenizer.decode(_a				)
          lowercase    :				int       		=							tokenizer.decode(_a				)
          self.assertEqual(_a	,    _a				)
          self.assertEqual(_a	,    _a				)
          self.assertEqual(_a	,    _a				)
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				Dict       		=							self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"				)

          # Testing tokenization
          lowercase    :				Union[str, Any]       		=							"こんにちは、世界。"
          lowercase    :				List[Any]       		=							"こんばんは、㔺界。😀"

          lowercase    :				Tuple       		=							len(tokenizer.encode(_a				)				) - 2
          lowercase    :				Dict       		=							len(tokenizer.encode(_a				)				) - 2

          lowercase    :				Union[str, Any]       		=							[1] + [0] * (len_prefix + len_text + 1)
          lowercase    :				List[str]       		=							[1] * (len_prefix + len_text + 1) + [0]
          lowercase    :				List[str]       		=							[1] + [1] * (len_prefix) + [0] * (len_text + 1)

          lowercase    :				Optional[Any]       		=							tokenizer(prefix_text + input_text				).token_type_ids
          lowercase    :				Optional[Any]       		=							tokenizer(""	,    prefix_text=prefix_text + input_text				).token_type_ids
          lowercase    :				Dict       		=							tokenizer(_a	,    prefix_text=_a				).token_type_ids
          self.assertListEqual(_a	,    _a				)
          self.assertListEqual(_a	,    _a				)
          self.assertListEqual(_a	,    _a				)
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				Optional[int]       		=							self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"				)

          lowercase    :				str       		=							tokenizer.encode("あンいワ"				)
          lowercase    :				Any       		=							tokenizer.encode(""	,    prefix_text="あンいワ"				)
          lowercase    :				str       		=							tokenizer.encode("いワ"	,    prefix_text="あン"				)

          self.assertEqual(tokenizer.decode(_a				)	,    tokenizer.decode(_a				)				)
          self.assertEqual(tokenizer.decode(_a				)	,    tokenizer.decode(_a				)				)
          self.assertNotEqual(_a	,    _a				)
          self.assertNotEqual(_a	,    _a				)
          self.assertEqual(x_token_a[1]	,    x_token_a[-1]				)  # SEG token
          self.assertEqual(x_token_a[1]	,    x_token_a[3]				)  # SEG token
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"				)

          lowercase    :				Optional[Any]       		=							[["武田信玄", "は、"], ["織田信長", "の配下の、"]]
          lowercase    :				Optional[int]       		=							tokenizer(_a	,    padding=_a				)
          lowercase    :				List[str]       		=							tokenizer.batch_encode_plus(_a	,    padding=_a				)

          # fmt: off
          lowercase    :				Any       		=							[[35_993, 8_640, 25_948, 35_998, 30_647, 35_675, 35_999, 35_999], [35_993, 10_382, 9_868, 35_998, 30_646, 9_459, 30_646, 35_675]]
          lowercase    :				List[str]       		=							[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
          lowercase    :				int       		=							[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
          # fmt: on
          self.assertListEqual(x_token.input_ids	,    _a				)
          self.assertListEqual(x_token.token_type_ids	,    _a				)
          self.assertListEqual(x_token.attention_mask	,    _a				)
          self.assertListEqual(x_token_a.input_ids	,    _a				)
          self.assertListEqual(x_token_a.token_type_ids	,    _a				)
          self.assertListEqual(x_token_a.attention_mask	,    _a				)
   def 			__magic_name__			(			self				):
          # Intentionally convert some words to accommodate character fluctuations unique to Japanese
          pass

   def 			__magic_name__			(			self				):
          # tokenizer has no padding token
          pass




"""simple docstring"""




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_A			:       int   		=       """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""

class 		a__						(      unittest.TestCase,			a_						):
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							load_tool("text-question-answering"				)
          self.tool.setup()
          lowercase    :				Dict       		=							load_tool("text-question-answering"	,    remote=_a				)
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							self.tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				Union[str, Any]       		=							self.remote_tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							self.tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)

   def 			__magic_name__			(			self				):
          lowercase    :				Optional[Any]       		=							self.remote_tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)


