


'''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 						_snake_case   (       a__    ,				unittest.TestCase		):
					lowerCAmelCase :int						=   CodeGenTokenizer
					lowerCAmelCase :str						=   CodeGenTokenizerFast
					lowerCAmelCase :List[Any]						=   True
					lowerCAmelCase :Union[str, Any]						=   {'''add_prefix_space''': True}
					lowerCAmelCase :Optional[int]						=   False




					def 			snake_case__  ( self):
								super().setUp()

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

								UpperCAmelCase__					:   str       				=       os.path.join(self.tmpdirname							,							VOCAB_FILES_NAMES["""vocab_file"""])
								UpperCAmelCase__					:   List[str]       				=       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(_lowerCamelCase) + """\n""")
								with open(self.merges_file							,							"""w"""							,							encoding="""utf-8""") as fp:
											fp.write("""\n""".join(_lowerCamelCase))




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




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




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   List[str]       				=       """lower newer"""
								UpperCAmelCase__					:   List[str]       				=       """lower newer"""
								return input_text, output_text




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

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




					def 			snake_case__  ( self):
								if not self.test_rust_tokenizer:
											return

								UpperCAmelCase__					:   Optional[Any]       				=       self.get_tokenizer()
								UpperCAmelCase__					:   str       				=       self.get_rust_tokenizer(add_prefix_space=_lowerCamelCase)

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

								# Testing tokenization
								UpperCAmelCase__					:   Dict       				=       tokenizer.tokenize(_lowerCamelCase							,							add_prefix_space=_lowerCamelCase)
								UpperCAmelCase__					:   Union[str, Any]       				=       rust_tokenizer.tokenize(_lowerCamelCase)
								self.assertListEqual(_lowerCamelCase							,							_lowerCamelCase)

								# Testing conversion to ids without special tokens
								UpperCAmelCase__					:   List[str]       				=       tokenizer.encode(_lowerCamelCase							,							add_special_tokens=_lowerCamelCase							,							add_prefix_space=_lowerCamelCase)
								UpperCAmelCase__					:   int       				=       rust_tokenizer.encode(_lowerCamelCase							,							add_special_tokens=_lowerCamelCase)
								self.assertListEqual(_lowerCamelCase							,							_lowerCamelCase)

								# Testing conversion to ids with special tokens
								UpperCAmelCase__					:   List[Any]       				=       self.get_rust_tokenizer(add_prefix_space=_lowerCamelCase)
								UpperCAmelCase__					:   Any       				=       tokenizer.encode(_lowerCamelCase							,							add_prefix_space=_lowerCamelCase)
								UpperCAmelCase__					:   Union[str, Any]       				=       rust_tokenizer.encode(_lowerCamelCase)
								self.assertListEqual(_lowerCamelCase							,							_lowerCamelCase)

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




					def 			snake_case__  ( self							,							*_lowerCamelCase							,							**_lowerCamelCase):
								# 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 			snake_case__  ( self							,							_lowerCamelCase=15):
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
														UpperCAmelCase__					:   int       				=       self.rust_tokenizer_class.from_pretrained(_lowerCamelCase							,							**_lowerCamelCase)

														# Simple input
														UpperCAmelCase__					:   Any       				=       """This is a simple input"""
														UpperCAmelCase__					:   Optional[Any]       				=       ["""This is a simple input 1""", """This is a simple input 2"""]
														UpperCAmelCase__					:   Dict       				=       ("""This is a simple input""", """This is a pair""")
														UpperCAmelCase__					:   str       				=       [
														    ("""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(_lowerCamelCase							,							tokenizer_r.encode							,							_lowerCamelCase							,							max_length=_lowerCamelCase							,							padding="""max_length""")

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

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

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

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

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




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

								# Simple input
								UpperCAmelCase__					:   int       				=       """This is a simple input"""
								UpperCAmelCase__					:   Tuple       				=       ["""This is a simple input looooooooong""", """This is a simple input"""]
								UpperCAmelCase__					:   int       				=       ("""This is a simple input""", """This is a pair""")
								UpperCAmelCase__					:   int       				=       [
								    ("""This is a simple input loooooong""", """This is a simple input"""),
								    ("""This is a simple pair loooooong""", """This is a simple pair"""),
								]

								UpperCAmelCase__					:   int       				=       tokenizer.pad_token_id

								UpperCAmelCase__					:   List[str]       				=       tokenizer(_lowerCamelCase							,							padding="""max_length"""							,							max_length=30							,							return_tensors="""np""")
								UpperCAmelCase__					:   List[str]       				=       tokenizer(_lowerCamelCase							,							padding=_lowerCamelCase							,							truncate=_lowerCamelCase							,							return_tensors="""np""")
								UpperCAmelCase__					:   Any       				=       tokenizer(*_lowerCamelCase							,							padding="""max_length"""							,							max_length=60							,							return_tensors="""np""")
								UpperCAmelCase__					:   int       				=       tokenizer(_lowerCamelCase							,							padding=_lowerCamelCase							,							truncate=_lowerCamelCase							,							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 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       """$$$"""
								UpperCAmelCase__					:   Optional[Any]       				=       CodeGenTokenizer.from_pretrained(self.tmpdirname							,							bos_token=_lowerCamelCase							,							add_bos_token=_lowerCamelCase)

								UpperCAmelCase__					:   int       				=       """This is a simple input"""
								UpperCAmelCase__					:   List[Any]       				=       ["""This is a simple input 1""", """This is a simple input 2"""]

								UpperCAmelCase__					:   int       				=       tokenizer.bos_token_id

								UpperCAmelCase__					:   Any       				=       tokenizer(_lowerCamelCase)
								UpperCAmelCase__					:   List[str]       				=       tokenizer(_lowerCamelCase)

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

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

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




					@slow
					def 			snake_case__  ( self):
								UpperCAmelCase__					:   List[Any]       				=       CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono""")

								UpperCAmelCase__					:   List[Any]       				=       """\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
								UpperCAmelCase__					:   Union[str, Any]       				=       """\nif len_a > len_b:      result = a\nelse:      result = b"""

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




					def 			snake_case__  ( self):
								pass



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A		={
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__A		=[
		    'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TableTransformerForObjectDetection',
		    'TableTransformerModel',
		    'TableTransformerPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_table_transformer import (
		    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    TableTransformerConfig,
		    TableTransformerOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_table_transformer import (
				    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TableTransformerForObjectDetection,
				    TableTransformerModel,
				    TableTransformerPreTrainedModel,
				)

else:
		import sys

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