



'''simple docstring'''





from typing import TYPE_CHECKING

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


__a          =		{
    "configuration_maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig"],
    "configuration_maskformer_swin": ["MaskFormerSwinConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __a          =		["MaskFormerFeatureExtractor"]
       __a          =		["MaskFormerImageProcessor"]


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __a          =		[
           "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
           "MaskFormerForInstanceSegmentation",
           "MaskFormerModel",
           "MaskFormerPreTrainedModel",
       ]
       __a          =		[
           "MaskFormerSwinBackbone",
           "MaskFormerSwinModel",
           "MaskFormerSwinPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
       from .configuration_maskformer_swin import MaskFormerSwinConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_maskformer import MaskFormerFeatureExtractor
              from .image_processing_maskformer import MaskFormerImageProcessor
       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_maskformer import (
                  MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  MaskFormerForInstanceSegmentation,
                  MaskFormerModel,
                  MaskFormerPreTrainedModel,
              )
              from .modeling_maskformer_swin import (
                  MaskFormerSwinBackbone,
                  MaskFormerSwinModel,
                  MaskFormerSwinPreTrainedModel,
              )


else:
       import sys

       __a          =		_LazyModule(__name__, globals()["__file__"], _import_structure)





'''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     UpperCAmelCase_       (       _a		,		unittest.TestCase	):
    """simple docstring"""







    lowercase					=		GPTSanJapaneseTokenizer
    lowercase					=		False
    lowercase					=		{"do_clean_text": False, "add_prefix_space": False}




    def lowerCamelCase       (    self					:     str						):
          super().setUp()

          # fmt: off
          snake_case__  :    Optional[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
          snake_case__  :    int    						=      {"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
          snake_case__  :    List[Any]    						=      {"""unk_token""": """<unk>"""}

          snake_case__  :    Optional[Any]    						=      os.path.join(self.tmpdirname ,     VOCAB_FILES_NAMES["""vocab_file"""]						)
          snake_case__  :    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(snake_case_						)						)




    def lowerCamelCase       (    self					:     Any ,     **snake_case_					:     Union[str, Any]						):
          kwargs.update(self.special_tokens_map						)
          return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname ,     **snake_case_						)




    def lowerCamelCase       (    self					:     Any ,     snake_case_					:     str						):
          snake_case__  :    Union[str, Any]    						=      """こんにちは、世界。 \nこんばんは、㔺界。😀"""
          snake_case__  :    List[str]    						=      """こんにちは、世界。 \nこんばんは、世界。😀"""
          return input_text, output_text




    def lowerCamelCase       (    self					:     Any ,     snake_case_					:     Dict						):
          snake_case__						,				snake_case__  :    int    						=      self.get_input_output_texts(snake_case_						)
          snake_case__  :    int    						=      tokenizer.encode(snake_case_ ,     add_special_tokens=snake_case_						)
          snake_case__  :    List[str]    						=      tokenizer.decode(snake_case_ ,     clean_up_tokenization_spaces=snake_case_						)
          return text, ids




    def lowerCamelCase       (    self					:     Optional[Any]						):
          pass  # TODO add if relevant




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          pass  # TODO add if relevant




    def lowerCamelCase       (    self					:     List[str]						):
          pass  # TODO add if relevant




    def lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    Optional[Any]    						=      self.get_tokenizer()

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

          # Testing conversion to ids without special tokens
          snake_case__  :    Union[str, Any]    						=      [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
          snake_case__  :    List[Any]    						=      tokenizer.convert_tokens_to_ids(snake_case_						)
          self.assertListEqual(snake_case_ ,     snake_case_						)

          # Testing conversion to ids with special tokens
          snake_case__  :    Union[str, Any]    						=      tokens + [tokenizer.unk_token]
          snake_case__  :    Dict    						=      [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
          snake_case__  :    Any    						=      tokenizer.convert_tokens_to_ids(snake_case_						)
          self.assertListEqual(snake_case_ ,     snake_case_						)




    def lowerCamelCase       (    self					:     Optional[Any]						):
          snake_case__  :    Union[str, Any]    						=      self.get_tokenizer()

          # Testing tokenization
          snake_case__  :    Union[str, Any]    						=      """こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
          snake_case__  :    Optional[int]    						=      """こんにちは、、、、世界。こんばんは、、、、世界。"""
          snake_case__  :    Any    						=      tokenizer.encode(snake_case_						)
          snake_case__  :    int    						=      tokenizer.decode(snake_case_						)
          self.assertEqual(snake_case_ ,     snake_case_						)




    @slow
    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    Optional[Any]    						=      self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""						)

          # Testing tokenization
          snake_case__  :    Tuple    						=      """こんにちは、世界。"""
          snake_case__  :    Optional[Any]    						=      """こんばんは、㔺界。😀"""
          snake_case__  :    List[str]    						=      """こんにちは、世界。こんばんは、世界。😀"""
          snake_case__  :    Dict    						=      tokenizer.encode(prefix_text + input_text						)
          snake_case__  :    Dict    						=      tokenizer.encode("""""" ,     prefix_text=prefix_text + input_text						)
          snake_case__  :    int    						=      tokenizer.encode(snake_case_ ,     prefix_text=snake_case_						)
          snake_case__  :    Optional[Any]    						=      tokenizer.decode(snake_case_						)
          snake_case__  :    Union[str, Any]    						=      tokenizer.decode(snake_case_						)
          snake_case__  :    str    						=      tokenizer.decode(snake_case_						)
          self.assertEqual(snake_case_ ,     snake_case_						)
          self.assertEqual(snake_case_ ,     snake_case_						)
          self.assertEqual(snake_case_ ,     snake_case_						)




    @slow
    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    Optional[Any]    						=      self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""						)

          # Testing tokenization
          snake_case__  :    Dict    						=      """こんにちは、世界。"""
          snake_case__  :    Optional[int]    						=      """こんばんは、㔺界。😀"""

          snake_case__  :    Any    						=      len(tokenizer.encode(snake_case_						)						) - 2
          snake_case__  :    Optional[int]    						=      len(tokenizer.encode(snake_case_						)						) - 2

          snake_case__  :    List[str]    						=      [1] + [0] * (len_prefix + len_text + 1)
          snake_case__  :    Optional[int]    						=      [1] * (len_prefix + len_text + 1) + [0]
          snake_case__  :    int    						=      [1] + [1] * (len_prefix) + [0] * (len_text + 1)

          snake_case__  :    Any    						=      tokenizer(prefix_text + input_text						).token_type_ids
          snake_case__  :    str    						=      tokenizer("""""" ,     prefix_text=prefix_text + input_text						).token_type_ids
          snake_case__  :    Optional[Any]    						=      tokenizer(snake_case_ ,     prefix_text=snake_case_						).token_type_ids
          self.assertListEqual(snake_case_ ,     snake_case_						)
          self.assertListEqual(snake_case_ ,     snake_case_						)
          self.assertListEqual(snake_case_ ,     snake_case_						)




    @slow
    def lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    Optional[Any]    						=      self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""						)

          snake_case__  :    Union[str, Any]    						=      tokenizer.encode("""あンいワ"""						)
          snake_case__  :    int    						=      tokenizer.encode("""""" ,     prefix_text="""あンいワ"""						)
          snake_case__  :    Dict    						=      tokenizer.encode("""いワ""" ,     prefix_text="""あン"""						)

          self.assertEqual(tokenizer.decode(snake_case_						) ,     tokenizer.decode(snake_case_						)						)
          self.assertEqual(tokenizer.decode(snake_case_						) ,     tokenizer.decode(snake_case_						)						)
          self.assertNotEqual(snake_case_ ,     snake_case_						)
          self.assertNotEqual(snake_case_ ,     snake_case_						)
          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 lowerCamelCase       (    self					:     Any						):
          snake_case__  :    Optional[int]    						=      self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""						)

          snake_case__  :    int    						=      [["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
          snake_case__  :    Optional[Any]    						=      tokenizer(snake_case_ ,     padding=snake_case_						)
          snake_case__  :    Tuple    						=      tokenizer.batch_encode_plus(snake_case_ ,     padding=snake_case_						)

          # fmt: off
          snake_case__  :    Optional[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]]
          snake_case__  :    Optional[Any]    						=      [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
          snake_case__  :    Optional[Any]    						=      [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
          # fmt: on
          self.assertListEqual(x_token.input_ids ,     snake_case_						)
          self.assertListEqual(x_token.token_type_ids ,     snake_case_						)
          self.assertListEqual(x_token.attention_mask ,     snake_case_						)
          self.assertListEqual(x_token_a.input_ids ,     snake_case_						)
          self.assertListEqual(x_token_a.token_type_ids ,     snake_case_						)
          self.assertListEqual(x_token_a.attention_mask ,     snake_case_						)




    def lowerCamelCase       (    self					:     Any						):
          # Intentionally convert some words to accommodate character fluctuations unique to Japanese
          pass




    def lowerCamelCase       (    self					:     List[str]						):
          # tokenizer has no padding token
          pass
