



'''simple docstring'''





import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class        UpperCAmelCase_			(			_a						,						unittest.TestCase      ):
    """simple docstring"""







    lowercase   =						CodeGenTokenizer
    lowercase   =						CodeGenTokenizerFast
    lowercase   =						True
    lowercase   =						{"add_prefix_space": True}
    lowercase   =						False




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

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          snake_case__    :       str       		= [
              """l""",
              """o""",
              """w""",
              """e""",
              """r""",
              """s""",
              """t""",
              """i""",
              """d""",
              """n""",
              """\u0120""",
              """\u0120l""",
              """\u0120n""",
              """\u0120lo""",
              """\u0120low""",
              """er""",
              """\u0120lowest""",
              """\u0120newer""",
              """\u0120wider""",
              """<unk>""",
              """<|endoftext|>""",
          ]
          snake_case__    :       Tuple       		= dict(zip(snake_case_					,	range(len(snake_case_		)		)		)		)
          snake_case__    :       List[str]       		= ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
          snake_case__    :       List[str]       		= {"""unk_token""": """<unk>"""}

          snake_case__    :       Union[str, Any]       		= os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["""vocab_file"""]		)
          snake_case__    :       Optional[Any]       		= os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["""merges_file"""]		)
          with open(self.vocab_file					,	"""w"""					,	encoding="""utf-8"""		) as fp:
                fp.write(json.dumps(snake_case_		) + """\n"""		)
          with open(self.merges_file					,	"""w"""					,	encoding="""utf-8"""		) as fp:
                fp.write("""\n""".join(snake_case_		)		)




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




    def lowerCamelCase			(       self   :	Dict					,	**snake_case_   :	Any		):
          kwargs.update(self.special_tokens_map		)
          return CodeGenTokenizerFast.from_pretrained(self.tmpdirname					,	**snake_case_		)




    def lowerCamelCase			(       self   :	List[str]					,	snake_case_   :	List[str]		):
          snake_case__    :       Dict       		= """lower newer"""
          snake_case__    :       str       		= """lower newer"""
          return input_text, output_text




    def lowerCamelCase			(       self   :	Tuple		):
          snake_case__    :       List[str]       		= CodeGenTokenizer(self.vocab_file					,	self.merges_file					,	**self.special_tokens_map		)
          snake_case__    :       Union[str, Any]       		= """lower newer"""
          snake_case__    :       Union[str, Any]       		= ["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
          snake_case__    :       Tuple       		= tokenizer.tokenize(snake_case_					,	add_prefix_space=snake_case_		)
          self.assertListEqual(snake_case_					,	snake_case_		)

          snake_case__    :       Optional[int]       		= tokens + [tokenizer.unk_token]
          snake_case__    :       int       		= [14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_		)					,	snake_case_		)




    def lowerCamelCase			(       self   :	List[str]		):
          if not self.test_rust_tokenizer:
                return

          snake_case__    :       Any       		= self.get_tokenizer()
          snake_case__    :       Any       		= self.get_rust_tokenizer(add_prefix_space=snake_case_		)

          snake_case__    :       Union[str, Any]       		= """lower newer"""

          # Testing tokenization
          snake_case__    :       Optional[Any]       		= tokenizer.tokenize(snake_case_					,	add_prefix_space=snake_case_		)
          snake_case__    :       Union[str, Any]       		= rust_tokenizer.tokenize(snake_case_		)
          self.assertListEqual(snake_case_					,	snake_case_		)

          # Testing conversion to ids without special tokens
          snake_case__    :       Optional[int]       		= tokenizer.encode(snake_case_					,	add_special_tokens=snake_case_					,	add_prefix_space=snake_case_		)
          snake_case__    :       int       		= rust_tokenizer.encode(snake_case_					,	add_special_tokens=snake_case_		)
          self.assertListEqual(snake_case_					,	snake_case_		)

          # Testing conversion to ids with special tokens
          snake_case__    :       Optional[int]       		= self.get_rust_tokenizer(add_prefix_space=snake_case_		)
          snake_case__    :       List[str]       		= tokenizer.encode(snake_case_					,	add_prefix_space=snake_case_		)
          snake_case__    :       List[str]       		= rust_tokenizer.encode(snake_case_		)
          self.assertListEqual(snake_case_					,	snake_case_		)

          # Testing the unknown token
          snake_case__    :       Tuple       		= tokens + [rust_tokenizer.unk_token]
          snake_case__    :       int       		= [14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(snake_case_		)					,	snake_case_		)




    def lowerCamelCase			(       self   :	List[str]					,	*snake_case_   :	Optional[int]					,	**snake_case_   :	int		):
          # It's very difficult to mix/test pretokenization with byte-level
          # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
          pass




    def lowerCamelCase			(       self   :	Union[str, Any]					,	snake_case_   :	Optional[Any]=15		):
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"		):
                      snake_case__    :       Dict       		= self.rust_tokenizer_class.from_pretrained(snake_case_					,	**snake_case_		)

                      # Simple input
                      snake_case__    :       Optional[int]       		= """This is a simple input"""
                      snake_case__    :       str       		= ["""This is a simple input 1""", """This is a simple input 2"""]
                      snake_case__    :       int       		= ("""This is a simple input""", """This is a pair""")
                      snake_case__    :       Tuple       		= [
                          ("""This is a simple input 1""", """This is a simple input 2"""),
                          ("""This is a simple pair 1""", """This is a simple pair 2"""),
                      ]

                      # Simple input tests
                      self.assertRaises(snake_case_					,	tokenizer_r.encode					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""		)

                      # Simple input
                      self.assertRaises(snake_case_					,	tokenizer_r.encode_plus					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""		)

                      # Simple input
                      self.assertRaises(
                          snake_case_					,	tokenizer_r.batch_encode_plus					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""					,	)

                      # Pair input
                      self.assertRaises(snake_case_					,	tokenizer_r.encode					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""		)

                      # Pair input
                      self.assertRaises(snake_case_					,	tokenizer_r.encode_plus					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""		)

                      # Pair input
                      self.assertRaises(
                          snake_case_					,	tokenizer_r.batch_encode_plus					,	snake_case_					,	max_length=snake_case_					,	padding="""max_length"""					,	)




    def lowerCamelCase			(       self   :	List[str]		):
          snake_case__    :       List[str]       		= CodeGenTokenizer.from_pretrained(self.tmpdirname					,	pad_token="""<pad>"""		)

          # Simple input
          snake_case__    :       Union[str, Any]       		= """This is a simple input"""
          snake_case__    :       List[str]       		= ["""This is a simple input looooooooong""", """This is a simple input"""]
          snake_case__    :       List[str]       		= ("""This is a simple input""", """This is a pair""")
          snake_case__    :       str       		= [
              ("""This is a simple input loooooong""", """This is a simple input"""),
              ("""This is a simple pair loooooong""", """This is a simple pair"""),
          ]

          snake_case__    :       Union[str, Any]       		= tokenizer.pad_token_id

          snake_case__    :       int       		= tokenizer(snake_case_					,	padding="""max_length"""					,	max_length=30					,	return_tensors="""np"""		)
          snake_case__    :       Optional[int]       		= tokenizer(snake_case_					,	padding=snake_case_					,	truncate=snake_case_					,	return_tensors="""np"""		)
          snake_case__    :       Dict       		= tokenizer(*snake_case_					,	padding="""max_length"""					,	max_length=60					,	return_tensors="""np"""		)
          snake_case__    :       str       		= tokenizer(snake_case_					,	padding=snake_case_					,	truncate=snake_case_					,	return_tensors="""np"""		)

          # s
          # test single string max_length padding
          self.assertEqual(out_s["""input_ids"""].shape[-1]					,	30		)
          self.assertTrue(pad_token_id in out_s["""input_ids"""]		)
          self.assertTrue(0 in out_s["""attention_mask"""]		)

          # s2
          # test automatic padding
          self.assertEqual(out_sa["""input_ids"""].shape[-1]					,	33		)
          # long slice doesn't have padding
          self.assertFalse(pad_token_id in out_sa["""input_ids"""][0]		)
          self.assertFalse(0 in out_sa["""attention_mask"""][0]		)
          # short slice does have padding
          self.assertTrue(pad_token_id in out_sa["""input_ids"""][1]		)
          self.assertTrue(0 in out_sa["""attention_mask"""][1]		)

          # p
          # test single pair max_length padding
          self.assertEqual(out_p["""input_ids"""].shape[-1]					,	60		)
          self.assertTrue(pad_token_id in out_p["""input_ids"""]		)
          self.assertTrue(0 in out_p["""attention_mask"""]		)

          # p2
          # test automatic padding pair
          self.assertEqual(out_pa["""input_ids"""].shape[-1]					,	52		)
          # long slice pair doesn't have padding
          self.assertFalse(pad_token_id in out_pa["""input_ids"""][0]		)
          self.assertFalse(0 in out_pa["""attention_mask"""][0]		)
          # short slice pair does have padding
          self.assertTrue(pad_token_id in out_pa["""input_ids"""][1]		)
          self.assertTrue(0 in out_pa["""attention_mask"""][1]		)




    def lowerCamelCase			(       self   :	str		):
          snake_case__    :       List[Any]       		= """$$$"""
          snake_case__    :       Dict       		= CodeGenTokenizer.from_pretrained(self.tmpdirname					,	bos_token=snake_case_					,	add_bos_token=snake_case_		)

          snake_case__    :       str       		= """This is a simple input"""
          snake_case__    :       List[Any]       		= ["""This is a simple input 1""", """This is a simple input 2"""]

          snake_case__    :       Optional[int]       		= tokenizer.bos_token_id

          snake_case__    :       Any       		= tokenizer(snake_case_		)
          snake_case__    :       Any       		= tokenizer(snake_case_		)

          self.assertEqual(out_s.input_ids[0]					,	snake_case_		)
          self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids		)		)

          snake_case__    :       Union[str, Any]       		= tokenizer.decode(out_s.input_ids		)
          snake_case__    :       Tuple       		= tokenizer.batch_decode(out_sa.input_ids		)

          self.assertEqual(decode_s.split()[0]					,	snake_case_		)
          self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa		)		)




    @slow
    def lowerCamelCase			(       self   :	int		):
          snake_case__    :       Any       		= CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""		)

          snake_case__    :       Any       		= """\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
          snake_case__    :       Tuple       		= """\nif len_a > len_b:      result = a\nelse:      result = b"""

          snake_case__    :       Optional[Any]       		= tokenizer.encode(snake_case_		)
          snake_case__    :       List[Any]       		= ["""^#""", re.escape("""<|endoftext|>"""		), """^'''""", """^\"\"\"""", """\n\n\n"""]
          snake_case__    :       Tuple       		= tokenizer.decode(snake_case_					,	truncate_before_pattern=snake_case_		)
          self.assertEqual(snake_case_					,	snake_case_		)




    def lowerCamelCase			(       self   :	Optional[int]		):
          pass





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__a  			=						{
    "configuration_bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
        "BigBirdPegasusOnnxConfig",
    ],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __a  			=						[
           "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
           "BigBirdPegasusForCausalLM",
           "BigBirdPegasusForConditionalGeneration",
           "BigBirdPegasusForQuestionAnswering",
           "BigBirdPegasusForSequenceClassification",
           "BigBirdPegasusModel",
           "BigBirdPegasusPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_bigbird_pegasus import (
           BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
           BigBirdPegasusConfig,
           BigBirdPegasusOnnxConfig,
       )

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_bigbird_pegasus import (
                  BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BigBirdPegasusForCausalLM,
                  BigBirdPegasusForConditionalGeneration,
                  BigBirdPegasusForQuestionAnswering,
                  BigBirdPegasusForSequenceClassification,
                  BigBirdPegasusModel,
                  BigBirdPegasusPreTrainedModel,
              )


else:
       import sys

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