
'''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 (_lowerCamelCase     ,    unittest.TestCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE					=     HerbertTokenizer
       SCREAMING_SNAKE_CASE					=     HerbertTokenizerFast
       SCREAMING_SNAKE_CASE					=     True






       def 				UpperCamelCase (							self					)			->	Tuple:
          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:
             _SCREAMING_SNAKE_CASE          = f_data.read().replace("""\n\n"""				,							"""\n"""					).strip()

          _SCREAMING_SNAKE_CASE          = [
              """<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>""",
          ]
          _SCREAMING_SNAKE_CASE          = dict(zip(A__				,							range(len(A__					)					)					)					)
          _SCREAMING_SNAKE_CASE          = ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

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






       def 				UpperCamelCase (							self				,							A__					)			->	Union[str, Any]:
          _SCREAMING_SNAKE_CASE          = """lower newer"""
          _SCREAMING_SNAKE_CASE          = """lower newer"""
          return input_text, output_text






       def 				UpperCamelCase (							self					)			->	str:
          _SCREAMING_SNAKE_CASE          = self.tokenizer_class(vocab_file=self.vocab_file				,							merges_file=self.merges_file					)

          _SCREAMING_SNAKE_CASE          = """lower"""
          _SCREAMING_SNAKE_CASE          = ["""low""", """er</w>"""]
          _SCREAMING_SNAKE_CASE          = tokenizer.tokenize(A__					)
          self.assertListEqual(A__				,							A__					)

          _SCREAMING_SNAKE_CASE          = tokens + ["""<unk>"""]
          _SCREAMING_SNAKE_CASE          = [16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A__					)				,							A__					)






       def 				UpperCamelCase (							self					)			->	Any:
          if not self.test_rust_tokenizer:
             return

          _SCREAMING_SNAKE_CASE          = self.get_tokenizer()
          _SCREAMING_SNAKE_CASE          = self.get_rust_tokenizer()

          _SCREAMING_SNAKE_CASE          = """lower,newer"""

          _SCREAMING_SNAKE_CASE          = tokenizer.tokenize(A__					)
          _SCREAMING_SNAKE_CASE          = rust_tokenizer.tokenize(A__					)
          self.assertListEqual(A__				,							A__					)

          _SCREAMING_SNAKE_CASE          = tokenizer.encode(A__				,							add_special_tokens=A__					)
          _SCREAMING_SNAKE_CASE          = rust_tokenizer.encode(A__				,							add_special_tokens=A__					)
          self.assertListEqual(A__				,							A__					)

          _SCREAMING_SNAKE_CASE          = self.get_rust_tokenizer()
          _SCREAMING_SNAKE_CASE          = tokenizer.encode(A__					)
          _SCREAMING_SNAKE_CASE          = rust_tokenizer.encode(A__					)
          self.assertListEqual(A__				,							A__					)






       @slow
       def 				UpperCamelCase (							self					)			->	Union[str, Any]:
          _SCREAMING_SNAKE_CASE          = self.tokenizer_class.from_pretrained("""allegro/herbert-base-cased"""					)

          _SCREAMING_SNAKE_CASE          = tokenizer.encode("""konstruowanie sekwencji"""				,							add_special_tokens=A__					)
          _SCREAMING_SNAKE_CASE          = tokenizer.encode("""konstruowanie wielu sekwencji"""				,							add_special_tokens=A__					)

          _SCREAMING_SNAKE_CASE          = tokenizer.build_inputs_with_special_tokens(A__					)
          _SCREAMING_SNAKE_CASE          = tokenizer.build_inputs_with_special_tokens(A__				,							A__					)

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








'''simple docstring'''



import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil
@pytest.fixture
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_  )   ->   Union[str, Any]:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE          = tmp_path / """text.txt"""
   _SCREAMING_SNAKE_CASE          = textwrap.dedent(
       """\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        """  )
   with open(SCREAMING_SNAKE_CASE_			,					"""w"""			,					encoding="""utf-8"""  ) as f:
      f.write(SCREAMING_SNAKE_CASE_  )
   return str(SCREAMING_SNAKE_CASE_  )
@pytest.fixture
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_			,					SCREAMING_SNAKE_CASE_  )   ->   Optional[int]:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE          = tmp_path / """text_with_image.txt"""
   with open(SCREAMING_SNAKE_CASE_			,					"""w"""			,					encoding="""utf-8"""  ) as f:
      f.write(SCREAMING_SNAKE_CASE_  )
   return str(SCREAMING_SNAKE_CASE_  )
@pytest.mark.parametrize("""keep_linebreaks"""			,					[True, False]  )
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_			,					SCREAMING_SNAKE_CASE_  )   ->   int:




   """simple docstring"""
   with open(SCREAMING_SNAKE_CASE_			,					encoding="""utf-8"""  ) as f:
      _SCREAMING_SNAKE_CASE          = f.read().splitlines(keepends=SCREAMING_SNAKE_CASE_  )
   _SCREAMING_SNAKE_CASE          = Text(keep_linebreaks=SCREAMING_SNAKE_CASE_			,					encoding="""utf-8"""  )
   _SCREAMING_SNAKE_CASE          = text._generate_tables([[text_file]]  )
   _SCREAMING_SNAKE_CASE          = pa.concat_tables([table for _, table in generator]  ).to_pydict()["""text"""]
   assert generated_content == expected_content
@require_pil
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_  )   ->   List[str]:




   """simple docstring"""
   with open(SCREAMING_SNAKE_CASE_			,					encoding="""utf-8"""  ) as f:
      _SCREAMING_SNAKE_CASE          = f.read().splitlines()[0]
   _SCREAMING_SNAKE_CASE          = Text(encoding="""utf-8"""			,					features=Features({"""image""": Image()}  )  )
   _SCREAMING_SNAKE_CASE          = text._generate_tables([[text_file_with_image]]  )
   _SCREAMING_SNAKE_CASE          = pa.concat_tables([table for _, table in generator]  )
   assert pa_table.schema.field("""image"""  ).type == Image()()
   _SCREAMING_SNAKE_CASE          = pa_table.to_pydict()["""image"""]
   assert generated_content == [{"path": image_file, "bytes": None}]







@pytest.mark.parametrize("""sample_by"""			,					["""line""", """paragraph""", """document"""]  )
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_			,					SCREAMING_SNAKE_CASE_  )   ->   List[Any]:




   """simple docstring"""
   with open(SCREAMING_SNAKE_CASE_			,					encoding="""utf-8"""  ) as f:
      _SCREAMING_SNAKE_CASE          = f.read()
   if sample_by == "line":
      _SCREAMING_SNAKE_CASE          = expected_content.splitlines()
   elif sample_by == "paragraph":
      _SCREAMING_SNAKE_CASE          = expected_content.split("""\n\n"""  )
   elif sample_by == "document":
      _SCREAMING_SNAKE_CASE          = [expected_content]
   _SCREAMING_SNAKE_CASE          = Text(sample_by=SCREAMING_SNAKE_CASE_			,					encoding="""utf-8"""			,					chunksize=1_00  )
   _SCREAMING_SNAKE_CASE          = text._generate_tables([[text_file]]  )
   _SCREAMING_SNAKE_CASE          = pa.concat_tables([table for _, table in generator]  ).to_pydict()["""text"""]
   assert generated_content == expected_content






