






"""simple docstring"""





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       (						lowercase_    ,					unittest.TestCase   ):





   '''simple docstring'''






   UpperCamelCase__      					=    HerbertTokenizer
   UpperCamelCase__      					=    HerbertTokenizerFast
   UpperCamelCase__      					=    True





   def __lowercase    (   self)	-> List[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:
                 lowercase__:    List[Any]        =      f_data.read().replace("\n\n"			,				"\n").strip()

          lowercase__:    List[str]        =      [
              "<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>",
          ]
          lowercase__:    List[str]        =      dict(zip(UpperCAmelCase_			,				range(len(UpperCAmelCase_))))
          lowercase__:    Union[str, Any]        =      ["l o 123", "lo w 1456", "e r</w> 1789", ""]

          lowercase__:    Union[str, Any]        =      os.path.join(self.tmpdirname			,				VOCAB_FILES_NAMES["vocab_file"])
          lowercase__:    int        =      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 __lowercase    (   self			,				UpperCAmelCase_)	-> List[str]:




          '''simple docstring'''




          lowercase__:    Optional[Any]        =      "lower newer"
          lowercase__:    List[str]        =      "lower newer"
          return input_text, output_text





   def __lowercase    (   self)	-> List[str]:




          '''simple docstring'''




          lowercase__:    Optional[Any]        =      self.tokenizer_class(vocab_file=self.vocab_file			,				merges_file=self.merges_file)

          lowercase__:    Optional[int]        =      "lower"
          lowercase__:    Tuple        =      ["low", "er</w>"]
          lowercase__:    List[str]        =      tokenizer.tokenize(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    str        =      tokens + ["<unk>"]
          lowercase__:    Optional[int]        =      [16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_)			,				UpperCAmelCase_)





   def __lowercase    (   self)	-> Any:




          '''simple docstring'''




          if not self.test_rust_tokenizer:
                 return

          lowercase__:    str        =      self.get_tokenizer()
          lowercase__:    Optional[Any]        =      self.get_rust_tokenizer()

          lowercase__:    str        =      "lower,newer"

          lowercase__:    int        =      tokenizer.tokenize(UpperCAmelCase_)
          lowercase__:    Optional[int]        =      rust_tokenizer.tokenize(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    Any        =      tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          lowercase__:    int        =      rust_tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    str        =      self.get_rust_tokenizer()
          lowercase__:    int        =      tokenizer.encode(UpperCAmelCase_)
          lowercase__:    Optional[Any]        =      rust_tokenizer.encode(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)





   @slow
   def __lowercase    (   self)	-> Dict:




          '''simple docstring'''




          lowercase__:    int        =      self.tokenizer_class.from_pretrained("allegro/herbert-base-cased")

          lowercase__:    int        =      tokenizer.encode("konstruowanie sekwencji"			,				add_special_tokens=UpperCAmelCase_)
          lowercase__:    Tuple        =      tokenizer.encode("konstruowanie wielu sekwencji"			,				add_special_tokens=UpperCAmelCase_)

          lowercase__:    Dict        =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_)
          lowercase__:    Union[str, Any]        =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_			,				UpperCAmelCase_)

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














"""simple docstring"""





# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase			=      {
    """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
    """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase			=      ["""DocumentQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageCaptioningTool"""]
  UpperCamelCase			=      ["""ImageQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageSegmentationTool"""]
  UpperCamelCase			=      ["""SpeechToTextTool"""]
  UpperCamelCase			=      ["""TextClassificationTool"""]
  UpperCamelCase			=      ["""TextQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""TextSummarizationTool"""]
  UpperCamelCase			=      ["""TextToSpeechTool"""]
  UpperCamelCase			=      ["""TranslationTool"""]

if TYPE_CHECKING:
  from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
  from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .document_question_answering import DocumentQuestionAnsweringTool
    from .image_captioning import ImageCaptioningTool
    from .image_question_answering import ImageQuestionAnsweringTool
    from .image_segmentation import ImageSegmentationTool
    from .speech_to_text import SpeechToTextTool
    from .text_classification import TextClassificationTool
    from .text_question_answering import TextQuestionAnsweringTool
    from .text_summarization import TextSummarizationTool
    from .text_to_speech import TextToSpeechTool
    from .translation import TranslationTool
else:
  import sys

  UpperCamelCase			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






