
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   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							List[Any]     =	CodeGenTokenizer
     UpperCAmelCase__       :							List[str]     =	CodeGenTokenizerFast
     UpperCAmelCase__       :							List[str]     =	True
     UpperCAmelCase__       :							Optional[Any]     =	{"add_prefix_space": True}
     UpperCAmelCase__       :							Union[str, Any]     =	False





     def 	UpperCAmelCase(self   :					List[Any]     )		->		Any:
         super().setUp()

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

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





     def 	UpperCAmelCase(self   :					Dict       ,					**_A   :					Union[str, Any]     )		->		List[Any]:
         kwargs.update(self.special_tokens_map     )
         return CodeGenTokenizerFast.from_pretrained(self.tmpdirname       ,					**_A     )





     def 	UpperCAmelCase(self   :					int       ,					_A   :					str     )		->		Tuple:
         snake_case				  =      "lower newer"
         snake_case				  =      "lower newer"
         return input_text, output_text





     def 	UpperCAmelCase(self   :					Any     )		->		Dict:
         snake_case				  =      CodeGenTokenizer(self.vocab_file       ,					self.merges_file       ,					**self.special_tokens_map     )
         snake_case				  =      "lower newer"
         snake_case				  =      ["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
         snake_case				  =      tokenizer.tokenize(_A       ,					add_prefix_space=_A     )
         self.assertListEqual(_A       ,					_A     )

         snake_case				  =      tokens + [tokenizer.unk_token]
         snake_case				  =      [1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )





     def 	UpperCAmelCase(self   :					str     )		->		Dict:
         if not self.test_rust_tokenizer:
             return

         snake_case				  =      self.get_tokenizer()
         snake_case				  =      self.get_rust_tokenizer(add_prefix_space=_A     )

         snake_case				  =      "lower newer"

         # Testing tokenization
         snake_case				  =      tokenizer.tokenize(_A       ,					add_prefix_space=_A     )
         snake_case				  =      rust_tokenizer.tokenize(_A     )
         self.assertListEqual(_A       ,					_A     )

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

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

         # Testing the unknown token
         snake_case				  =      tokens + [rust_tokenizer.unk_token]
         snake_case				  =      [1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
         self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )





     def 	UpperCAmelCase(self   :					Optional[Any]       ,					*_A   :					Optional[Any]       ,					**_A   :					Dict     )		->		List[str]:
         # 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   :					List[Any]       ,					_A   :					Union[str, Any]=1_5     )		->		List[str]:
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
                 snake_case				  =      self.rust_tokenizer_class.from_pretrained(_A       ,					**_A     )

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

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

         snake_case				  =      tokenizer.pad_token_id

         snake_case				  =      tokenizer(_A       ,					padding="max_length"       ,					max_length=3_0       ,					return_tensors="np"     )
         snake_case				  =      tokenizer(_A       ,					padding=_A       ,					truncate=_A       ,					return_tensors="np"     )
         snake_case				  =      tokenizer(*_A       ,					padding="max_length"       ,					max_length=6_0       ,					return_tensors="np"     )
         snake_case				  =      tokenizer(_A       ,					padding=_A       ,					truncate=_A       ,					return_tensors="np"     )

         # s
         # test single string max_length padding
         self.assertEqual(out_s["input_ids"].shape[-1]       ,					3_0     )
         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]       ,					3_3     )
         # 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]       ,					6_0     )
         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]       ,					5_2     )
         # 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   :					Optional[Any]     )		->		Dict:
         snake_case				  =      "$$$"
         snake_case				  =      CodeGenTokenizer.from_pretrained(self.tmpdirname       ,					bos_token=_A       ,					add_bos_token=_A     )

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

         snake_case				  =      tokenizer.bos_token_id

         snake_case				  =      tokenizer(_A     )
         snake_case				  =      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     )     )

         snake_case				  =      tokenizer.decode(out_s.input_ids     )
         snake_case				  =      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   :					List[str]     )		->		str:
         snake_case				  =      CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"     )

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

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





     def 	UpperCAmelCase(self   :					Tuple     )		->		Optional[Any]:
         pass



import os

# Precomputes a list of the 100 first triangular numbers
_A						      =				[int(0.5 * n * (n + 1)) for n in range(1, 1_01)]



def 		lowercase_    (     )							->							Tuple:
    """simple docstring"""

    snake_case				  =      os.path.dirname(os.path.realpath(A__	)	)
    snake_case				  =      os.path.join(A__				,	"words.txt"	)

    snake_case				  =      ""
    with open(A__	) as f:
        snake_case				  =      f.readline()

    snake_case				  =      [word.strip("\""	) for word in words.strip("\r\n"	).split(","	)]
    snake_case				  =      [
        word
        for word in [sum(ord(A__	) - 64 for x in word	) for word in words]
        if word in TRIANGULAR_NUMBERS
    ]
    return len(A__	)


if __name__ == "__main__":
   print(solution())

