


'''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 _lowerCamelCase	(						lowerCamelCase__		,					unittest.TestCase							):



		'''simple docstring'''







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







		def        __lowerCAmelCase		( self		:						Optional[int]      )  ->			Optional[Any]:
			super().setUp()

			# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
			__magic_name__	:   Optional[Any]					     =					[
			    'l',
			    'o',
			    'w',
			    'e',
			    'r',
			    's',
			    't',
			    'i',
			    'd',
			    'n',
			    '\u0120',
			    '\u0120l',
			    '\u0120n',
			    '\u0120lo',
			    '\u0120low',
			    'er',
			    '\u0120lowest',
			    '\u0120newer',
			    '\u0120wider',
			    '<unk>',
			    '<|endoftext|>',
			]
			__magic_name__	:   Any					     =					dict(zip(__snake_case  ,					range(len(__snake_case      )      )      )      )
			__magic_name__	:   int					     =					['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
			__magic_name__	:   Tuple					     =					{'unk_token': '<unk>'}

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







		def        __lowerCAmelCase		( self		:						str  ,					**_A		:						str      )  ->			List[Any]:
			kwargs.update(self.special_tokens_map      )
			return CodeGenTokenizer.from_pretrained(self.tmpdirname  ,					**__snake_case      )







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







		def        __lowerCAmelCase		( self		:						Dict  ,					_A		:						List[str]      )  ->			Union[str, Any]:
			__magic_name__	:   Any					     =					'lower newer'
			__magic_name__	:   Any					     =					'lower newer'
			return input_text, output_text







		def        __lowerCAmelCase		( self		:						Tuple      )  ->			Tuple:
			__magic_name__	:   Optional[int]					     =					CodeGenTokenizer(self.vocab_file  ,					self.merges_file  ,					**self.special_tokens_map      )
			__magic_name__	:   str					     =					'lower newer'
			__magic_name__	:   Optional[int]					     =					['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
			__magic_name__	:   str					     =					tokenizer.tokenize(__snake_case  ,					add_prefix_space=__snake_case      )
			self.assertListEqual(__snake_case  ,					__snake_case      )

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







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

			__magic_name__	:   int					     =					self.get_tokenizer()
			__magic_name__	:   Optional[int]					     =					self.get_rust_tokenizer(add_prefix_space=__snake_case      )

			__magic_name__	:   List[Any]					     =					'lower newer'

			# Testing tokenization
			__magic_name__	:   List[Any]					     =					tokenizer.tokenize(__snake_case  ,					add_prefix_space=__snake_case      )
			__magic_name__	:   Union[str, Any]					     =					rust_tokenizer.tokenize(__snake_case      )
			self.assertListEqual(__snake_case  ,					__snake_case      )

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

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

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







		def        __lowerCAmelCase		( self		:						int  ,					*_A		:						Dict  ,					**_A		:						List[str]      )  ->			Any:
			# 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        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						Union[str, Any]=15      )  ->			Tuple:
			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
				with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
					__magic_name__	:   str					     =					self.rust_tokenizer_class.from_pretrained(__snake_case  ,					**__snake_case      )

					# Simple input
					__magic_name__	:   int					     =					'This is a simple input'
					__magic_name__	:   Dict					     =					['This is a simple input 1', 'This is a simple input 2']
					__magic_name__	:   Optional[Any]					     =					('This is a simple input', 'This is a pair')
					__magic_name__	:   List[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        __lowerCAmelCase		( self		:						int      )  ->			Any:
			__magic_name__	:   List[Any]					     =					CodeGenTokenizer.from_pretrained(self.tmpdirname  ,					pad_token='<pad>'      )

			# Simple input
			__magic_name__	:   Dict					     =					'This is a simple input'
			__magic_name__	:   Optional[Any]					     =					['This is a simple input looooooooong', 'This is a simple input']
			__magic_name__	:   Dict					     =					('This is a simple input', 'This is a pair')
			__magic_name__	:   Optional[Any]					     =					[
			    ('This is a simple input loooooong', 'This is a simple input'),
			    ('This is a simple pair loooooong', 'This is a simple pair'),
			]

			__magic_name__	:   Union[str, Any]					     =					tokenizer.pad_token_id

			__magic_name__	:   Dict					     =					tokenizer(__snake_case  ,					padding='max_length'  ,					max_length=30  ,					return_tensors='np'      )
			__magic_name__	:   int					     =					tokenizer(__snake_case  ,					padding=__snake_case  ,					truncate=__snake_case  ,					return_tensors='np'      )
			__magic_name__	:   Dict					     =					tokenizer(*__snake_case  ,					padding='max_length'  ,					max_length=60  ,					return_tensors='np'      )
			__magic_name__	:   List[Any]					     =					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        __lowerCAmelCase		( self		:						int      )  ->			Tuple:
			__magic_name__	:   int					     =					'$$$'
			__magic_name__	:   List[str]					     =					CodeGenTokenizer.from_pretrained(self.tmpdirname  ,					bos_token=__snake_case  ,					add_bos_token=__snake_case      )

			__magic_name__	:   Optional[int]					     =					'This is a simple input'
			__magic_name__	:   Optional[Any]					     =					['This is a simple input 1', 'This is a simple input 2']

			__magic_name__	:   Tuple					     =					tokenizer.bos_token_id

			__magic_name__	:   int					     =					tokenizer(__snake_case      )
			__magic_name__	:   Any					     =					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      )      )

			__magic_name__	:   Optional[Any]					     =					tokenizer.decode(out_s.input_ids      )
			__magic_name__	:   str					     =					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        __lowerCAmelCase		( self		:						Union[str, Any]      )  ->			List[Any]:
			__magic_name__	:   Optional[Any]					     =					CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'      )

			__magic_name__	:   str					     =					'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
			__magic_name__	:   Optional[int]					     =					'\nif len_a > len_b:      result = a\nelse:      result = b'

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







		def        __lowerCAmelCase		( self		:						List[str]      )  ->			Any:
			pass



'''simple docstring'''

def lowerCamelCase      (      lowerCAmelCase    :     str		):





	"""simple docstring"""







	if not all(x.isalpha() for x in string		):
		raise ValueError('String must only contain alphabetic characters.'		)

	__magic_name__	:   int					     =					sorted(string.lower()		)
	return len(lowerCAmelCase		) == len(set(lowerCAmelCase		)		)


if __name__ == "__main__":
							lowerCAmelCase				:Any        =      input('''Enter a string ''').strip()

							lowerCAmelCase				:List[Any]        =      is_isogram(input_str)
							print(F'{input_str} is {"an" if isogram else "not an"} isogram.')