

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     _a						(__magic_name__		,   unittest.TestCase				):


					'''simple docstring'''






					UpperCAmelCase__:   Union[str, Any]  							=       CodeGenTokenizer
					UpperCAmelCase__:   Dict  							=       CodeGenTokenizerFast
					UpperCAmelCase__:   str  							=       True
					UpperCAmelCase__:   List[Any]  							=       {'''add_prefix_space''': True}
					UpperCAmelCase__:   Dict  							=       False






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

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

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






					def   __A			( self    ,       **A__			):
						kwargs.update(self.special_tokens_map			)
						return CodeGenTokenizer.from_pretrained(self.tmpdirname    ,       **A__			)






					def   __A			( self    ,       **A__			):
						kwargs.update(self.special_tokens_map			)
						return CodeGenTokenizerFast.from_pretrained(self.tmpdirname    ,       **A__			)






					def   __A			( self    ,       A__			):
						A__							:    int        =		"""lower newer"""
						A__							:    Optional[int]        =		"""lower newer"""
						return input_text, output_text






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

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






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

						A__							:    Optional[int]        =		self.get_tokenizer()
						A__							:    Union[str, Any]        =		self.get_rust_tokenizer(add_prefix_space=A__			)

						A__							:    Optional[Any]        =		"""lower newer"""

						# Testing tokenization
						A__							:    Dict        =		tokenizer.tokenize(A__    ,       add_prefix_space=A__			)
						A__							:    str        =		rust_tokenizer.tokenize(A__			)
						self.assertListEqual(A__    ,       A__			)

						# Testing conversion to ids without special tokens
						A__							:    Any        =		tokenizer.encode(A__    ,       add_special_tokens=A__    ,       add_prefix_space=A__			)
						A__							:    Any        =		rust_tokenizer.encode(A__    ,       add_special_tokens=A__			)
						self.assertListEqual(A__    ,       A__			)

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

						# Testing the unknown token
						A__							:    Optional[Any]        =		tokens + [rust_tokenizer.unk_token]
						A__							:    Dict        =		[14, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(A__			)    ,       A__			)






					def   __A			( self    ,       *A__    ,       **A__			):
						# 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   __A			( self    ,       A__=15			):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
								A__							:    Optional[int]        =		self.rust_tokenizer_class.from_pretrained(A__    ,       **A__			)

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

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

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

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

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

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






					def   __A			( self			):
						A__							:    Optional[Any]        =		CodeGenTokenizer.from_pretrained(self.tmpdirname    ,       pad_token="""<pad>"""			)

						# Simple input
						A__							:    int        =		"""This is a simple input"""
						A__							:    List[Any]        =		["""This is a simple input looooooooong""", """This is a simple input"""]
						A__							:    Optional[Any]        =		("""This is a simple input""", """This is a pair""")
						A__							:    int        =		[
						    ("""This is a simple input loooooong""", """This is a simple input"""),
						    ("""This is a simple pair loooooong""", """This is a simple pair"""),
						]

						A__							:    Optional[Any]        =		tokenizer.pad_token_id

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

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

						A__							:    List[Any]        =		tokenizer.bos_token_id

						A__							:    Union[str, Any]        =		tokenizer(A__			)
						A__							:    int        =		tokenizer(A__			)

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

						A__							:    int        =		tokenizer.decode(out_s.input_ids			)
						A__							:    int        =		tokenizer.batch_decode(out_sa.input_ids			)

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






					@slow
					def   __A			( self			):
						A__							:    Dict        =		CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""			)

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

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






					def   __A			( self			):
						pass






def 						UpperCamelCase					(lowercase_: int = 10					)     ->      str:
	if not isinstance(lowercase_    ,      lowercase_					) or n < 0:
		raise ValueError("""Invalid input"""					)
	A__							:    List[str]        =		10**n
	A__							:    Any        =		28433 * (pow(2    ,      7830457    ,      lowercase_					)) + 1
	return str(number % modulus					)


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	print(f'''{solution(10) = }''')



