


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     (       __snake_case     ,		unittest.TestCase					):

				"""simple docstring"""







				lowerCAmelCase					=			CodeGenTokenizer
				lowerCAmelCase					=			CodeGenTokenizerFast
				lowerCAmelCase					=			True
				lowerCAmelCase					=			{'add_prefix_space': True}
				lowerCAmelCase					=			False

				def   _UpperCAmelCase       (    self )						->					Union[str, Any]:
					super().setUp()

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

					A             =					os.path.join(self.tmpdirname					, VOCAB_FILES_NAMES["""vocab_file"""] )
					A             =					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   _UpperCAmelCase       (    self					, **a__ )						->					Optional[int]:
					kwargs.update(self.special_tokens_map )
					return CodeGenTokenizer.from_pretrained(self.tmpdirname					, **a__ )

				def   _UpperCAmelCase       (    self					, **a__ )						->					int:
					kwargs.update(self.special_tokens_map )
					return CodeGenTokenizerFast.from_pretrained(self.tmpdirname					, **a__ )

				def   _UpperCAmelCase       (    self					, a__ )						->					str:
					A             =					"""lower newer"""
					A             =					"""lower newer"""
					return input_text, output_text

				def   _UpperCAmelCase       (    self )						->					str:
					A             =					CodeGenTokenizer(self.vocab_file					, self.merges_file					, **self.special_tokens_map )
					A             =					"""lower newer"""
					A             =					["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
					A             =					tokenizer.tokenize(a__					, add_prefix_space=a__ )
					self.assertListEqual(a__					, a__ )

					A             =					tokens + [tokenizer.unk_token]
					A             =					[14, 15, 10, 9, 3, 2, 15, 19]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(a__ )					, a__ )

				def   _UpperCAmelCase       (    self )						->					List[Any]:
					if not self.test_rust_tokenizer:
						return

					A             =					self.get_tokenizer()
					A             =					self.get_rust_tokenizer(add_prefix_space=a__ )

					A             =					"""lower newer"""

					# Testing tokenization
					A             =					tokenizer.tokenize(a__					, add_prefix_space=a__ )
					A             =					rust_tokenizer.tokenize(a__ )
					self.assertListEqual(a__					, a__ )

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

					# Testing conversion to ids with special tokens
					A             =					self.get_rust_tokenizer(add_prefix_space=a__ )
					A             =					tokenizer.encode(a__					, add_prefix_space=a__ )
					A             =					rust_tokenizer.encode(a__ )
					self.assertListEqual(a__					, a__ )

					# Testing the unknown token
					A             =					tokens + [rust_tokenizer.unk_token]
					A             =					[14, 15, 10, 9, 3, 2, 15, 19]
					self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(a__ )					, a__ )

				def   _UpperCAmelCase       (    self					, *a__					, **a__ )						->					Dict:
					# 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   _UpperCAmelCase       (    self					, a__=15 )						->					Union[str, Any]:
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})' ):
							A             =					self.rust_tokenizer_class.from_pretrained(a__					, **a__ )

							# Simple input
							A             =					"""This is a simple input"""
							A             =					["""This is a simple input 1""", """This is a simple input 2"""]
							A             =					("""This is a simple input""", """This is a pair""")
							A             =					[
							    ("""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   _UpperCAmelCase       (    self )						->					List[str]:
					A             =					CodeGenTokenizer.from_pretrained(self.tmpdirname					, pad_token="""<pad>""" )

					# Simple input
					A             =					"""This is a simple input"""
					A             =					["""This is a simple input looooooooong""", """This is a simple input"""]
					A             =					("""This is a simple input""", """This is a pair""")
					A             =					[
					    ("""This is a simple input loooooong""", """This is a simple input"""),
					    ("""This is a simple pair loooooong""", """This is a simple pair"""),
					]

					A             =					tokenizer.pad_token_id

					A             =					tokenizer(a__					, padding="""max_length"""					, max_length=30					, return_tensors="""np""" )
					A             =					tokenizer(a__					, padding=a__					, truncate=a__					, return_tensors="""np""" )
					A             =					tokenizer(*a__					, padding="""max_length"""					, max_length=60					, return_tensors="""np""" )
					A             =					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   _UpperCAmelCase       (    self )						->					int:
					A             =					"""$$$"""
					A             =					CodeGenTokenizer.from_pretrained(self.tmpdirname					, bos_token=a__					, add_bos_token=a__ )

					A             =					"""This is a simple input"""
					A             =					["""This is a simple input 1""", """This is a simple input 2"""]

					A             =					tokenizer.bos_token_id

					A             =					tokenizer(a__ )
					A             =					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             =					tokenizer.decode(out_s.input_ids )
					A             =					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   _UpperCAmelCase       (    self )						->					Optional[Any]:
					A             =					CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono""" )

					A             =					"""\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
					A             =					"""\nif len_a > len_b:      result = a\nelse:      result = b"""

					A             =					tokenizer.encode(a__ )
					A             =					["""^#""", re.escape("""<|endoftext|>""" ), """^'''""", """^\"\"\"""", """\n\n\n"""]
					A             =					tokenizer.decode(a__					, truncate_before_pattern=a__ )
					self.assertEqual(a__					, a__ )

				def   _UpperCAmelCase       (    self )						->					Any:
					pass







def 	_lowerCAmelCase					( UpperCamelCase__:  str				,       UpperCamelCase__:  int				,       UpperCamelCase__:  Any=False    )			-> str:





	"""simple docstring"""







	if isinstance(UpperCamelCase__				,       UpperCamelCase__    ) and isinstance(UpperCamelCase__				,       UpperCamelCase__    ):
		A             =					len(set_a.intersection(UpperCamelCase__    )    )

		if alternative_union:
			A             =					len(UpperCamelCase__    ) + len(UpperCamelCase__    )
		else:
			A             =					len(set_a.union(UpperCamelCase__    )    )

		return intersection / union

	if isinstance(UpperCamelCase__				,       (list, tuple)    ) and isinstance(UpperCamelCase__				,       (list, tuple)    ):
		A             =					[element for element in set_a if element in set_b]

		if alternative_union:
			A             =					len(UpperCamelCase__    ) + len(UpperCamelCase__    )
			return len(UpperCamelCase__    ) / union
		else:
			A             =					set_a + [element for element in set_b if element not in set_a]
			return len(UpperCamelCase__    ) / len(UpperCamelCase__    )

		return len(UpperCamelCase__    ) / len(UpperCamelCase__    )
	return None


if __name__ == "__main__":
				_lowercase							:   List[Any]						=						{"a", "b", "c", "d", "e"}
				_lowercase							:   List[Any]						=						{"c", "d", "e", "f", "h", "i"}
				print(jaccard_similarity(set_a, set_b))



