


"""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       SCREAMING_SNAKE_CASE__				(		lowercase   ,    unittest.TestCase				):
       """simple docstring"""


       a  :				Tuple   =CodeGenTokenizer
       a  :				Optional[Any]   =CodeGenTokenizerFast
       a  :				List[Any]   =True
       a  :				str   ={"add_prefix_space": True}
       a  :				List[Any]   =False

       def        lowercase__							(						self						):






         """simple docstring"""





         super().setUp()

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

         lowerCAmelCase     :     Optional[Any]								=							os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES["vocab_file"]						)
         lowerCAmelCase     :     Dict								=							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        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





         kwargs.update(self.special_tokens_map						)
         return CodeGenTokenizer.from_pretrained(self.tmpdirname		,     **snake_case__						)

       def        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





         kwargs.update(self.special_tokens_map						)
         return CodeGenTokenizerFast.from_pretrained(self.tmpdirname		,     **snake_case__						)

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							"lower newer"
         lowerCAmelCase     :     Tuple								=							"lower newer"
         return input_text, output_text

       def        lowercase__							(						self						):






         """simple docstring"""





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

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

       def        lowercase__							(						self						):






         """simple docstring"""





         if not self.test_rust_tokenizer:
           return

         lowerCAmelCase     :     Any								=							self.get_tokenizer()
         lowerCAmelCase     :     Union[str, Any]								=							self.get_rust_tokenizer(add_prefix_space=snake_case__						)

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

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

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

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

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

       def        lowercase__							(						self		,     *snake_case__		,     **snake_case__						):






         """simple docstring"""





         pass

       def        lowercase__							(						self		,     snake_case__=15						):






         """simple docstring"""





         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
             lowerCAmelCase     :     List[Any]								=							self.rust_tokenizer_class.from_pretrained(snake_case__		,     **snake_case__						)

             # Simple input
             lowerCAmelCase     :     Any								=							"This is a simple input"
             lowerCAmelCase     :     Tuple								=							["This is a simple input 1", "This is a simple input 2"]
             lowerCAmelCase     :     Dict								=							("This is a simple input", "This is a pair")
             lowerCAmelCase     :     Union[str, Any]								=							[
                 ("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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     int								=							CodeGenTokenizer.from_pretrained(self.tmpdirname		,     pad_token="<pad>"						)

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

         lowerCAmelCase     :     Optional[int]								=							tokenizer.pad_token_id

         lowerCAmelCase     :     Optional[Any]								=							tokenizer(snake_case__		,     padding="max_length"		,     max_length=30		,     return_tensors="np"						)
         lowerCAmelCase     :     Optional[Any]								=							tokenizer(snake_case__		,     padding=snake_case__		,     truncate=snake_case__		,     return_tensors="np"						)
         lowerCAmelCase     :     List[Any]								=							tokenizer(*snake_case__		,     padding="max_length"		,     max_length=60		,     return_tensors="np"						)
         lowerCAmelCase     :     Dict								=							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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							"$$$"
         lowerCAmelCase     :     int								=							CodeGenTokenizer.from_pretrained(self.tmpdirname		,     bos_token=snake_case__		,     add_bos_token=snake_case__						)

         lowerCAmelCase     :     int								=							"This is a simple input"
         lowerCAmelCase     :     int								=							["This is a simple input 1", "This is a simple input 2"]

         lowerCAmelCase     :     int								=							tokenizer.bos_token_id

         lowerCAmelCase     :     Optional[int]								=							tokenizer(snake_case__						)
         lowerCAmelCase     :     int								=							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						)						)

         lowerCAmelCase     :     int								=							tokenizer.decode(out_s.input_ids						)
         lowerCAmelCase     :     List[Any]								=							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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"						)

         lowerCAmelCase     :     Any								=							"\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"
         lowerCAmelCase     :     List[Any]								=							"\nif len_a > len_b:      result = a\nelse:      result = b"

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







       def        lowercase__							(						self						):






         """simple docstring"""





         pass









"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCAmelCase__      				=   {
    '''configuration_pix2struct''': [
        '''PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''Pix2StructConfig''',
        '''Pix2StructTextConfig''',
        '''Pix2StructVisionConfig''',
    ],
    '''processing_pix2struct''': ['''Pix2StructProcessor'''],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase__      				=   ['''Pix2StructImageProcessor''']


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase__      				=   [
         '''PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''Pix2StructPreTrainedModel''',
         '''Pix2StructForConditionalGeneration''',
         '''Pix2StructVisionModel''',
         '''Pix2StructTextModel''',
     ]

if TYPE_CHECKING:
     from .configuration_pixastruct import (
         PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         PixaStructConfig,
         PixaStructTextConfig,
         PixaStructVisionConfig,
     )
     from .processing_pixastruct import PixaStructProcessor

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_pixastruct import PixaStructImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_pixastruct import (
              PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
              PixaStructForConditionalGeneration,
              PixaStructPreTrainedModel,
              PixaStructTextModel,
              PixaStructVisionModel,
          )

else:
     import sys

     lowerCAmelCase__      				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





