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

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

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

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

		def 							__lowerCamelCase							(   self ,	**_SCREAMING_SNAKE_CASE				):
			kwargs.update(self.special_tokens_map				)
			return CodeGenTokenizer.from_pretrained(self.tmpdirname ,	**_SCREAMING_SNAKE_CASE				)

		def 							__lowerCamelCase							(   self ,	**_SCREAMING_SNAKE_CASE				):
			kwargs.update(self.special_tokens_map				)
			return CodeGenTokenizerFast.from_pretrained(self.tmpdirname ,	**_SCREAMING_SNAKE_CASE				)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE				):
			__lowerCAmelCase    :		Optional[int]		    =   'lower newer'
			__lowerCAmelCase    :		Optional[int]		    =   'lower newer'
			return input_text, output_text

		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		Union[str, Any]		    =   CodeGenTokenizer(self.vocab_file ,	self.merges_file ,	**self.special_tokens_map				)
			__lowerCAmelCase    :		Optional[Any]		    =   'lower newer'
			__lowerCAmelCase    :		Optional[Any]		    =   ['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
			__lowerCAmelCase    :		int		    =   tokenizer.tokenize(_SCREAMING_SNAKE_CASE ,	add_prefix_space=_SCREAMING_SNAKE_CASE				)
			self.assertListEqual(_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE				)

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

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

			__lowerCAmelCase    :		str		    =   self.get_tokenizer()
			__lowerCAmelCase    :		Dict		    =   self.get_rust_tokenizer(add_prefix_space=_SCREAMING_SNAKE_CASE				)

			__lowerCAmelCase    :		Tuple		    =   'lower newer'

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

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

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

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

		def 							__lowerCamelCase							(   self ,	*_SCREAMING_SNAKE_CASE ,	**_SCREAMING_SNAKE_CASE				):
			# 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 ,	_SCREAMING_SNAKE_CASE=15				):
			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
				with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"				):
					__lowerCAmelCase    :		Optional[Any]		    =   self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE ,	**_SCREAMING_SNAKE_CASE				)

					# Simple input
					__lowerCAmelCase    :		Union[str, Any]		    =   'This is a simple input'
					__lowerCAmelCase    :		Dict		    =   ['This is a simple input 1', 'This is a simple input 2']
					__lowerCAmelCase    :		str		    =   ('This is a simple input', 'This is a pair')
					__lowerCAmelCase    :		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(_SCREAMING_SNAKE_CASE ,	tokenizer_r.encode ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length'				)

					# Simple input
					self.assertRaises(_SCREAMING_SNAKE_CASE ,	tokenizer_r.encode_plus ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length'				)

					# Simple input
					self.assertRaises(
					    _SCREAMING_SNAKE_CASE ,	tokenizer_r.batch_encode_plus ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length' ,	)

					# Pair input
					self.assertRaises(_SCREAMING_SNAKE_CASE ,	tokenizer_r.encode ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length'				)

					# Pair input
					self.assertRaises(_SCREAMING_SNAKE_CASE ,	tokenizer_r.encode_plus ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length'				)

					# Pair input
					self.assertRaises(
					    _SCREAMING_SNAKE_CASE ,	tokenizer_r.batch_encode_plus ,	_SCREAMING_SNAKE_CASE ,	max_length=_SCREAMING_SNAKE_CASE ,	padding='max_length' ,	)

		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		Tuple		    =   CodeGenTokenizer.from_pretrained(self.tmpdirname ,	pad_token='<pad>'				)

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

			__lowerCAmelCase    :		Dict		    =   tokenizer.pad_token_id

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

			__lowerCAmelCase    :		Optional[int]		    =   'This is a simple input'
			__lowerCAmelCase    :		Dict		    =   ['This is a simple input 1', 'This is a simple input 2']

			__lowerCAmelCase    :		Any		    =   tokenizer.bos_token_id

			__lowerCAmelCase    :		Union[str, Any]		    =   tokenizer(_SCREAMING_SNAKE_CASE				)
			__lowerCAmelCase    :		str		    =   tokenizer(_SCREAMING_SNAKE_CASE				)

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

			__lowerCAmelCase    :		Optional[int]		    =   tokenizer.decode(out_s.input_ids				)
			__lowerCAmelCase    :		str		    =   tokenizer.batch_decode(out_sa.input_ids				)

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

		@slow
		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		Dict		    =   CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'				)

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

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







		def 							__lowerCamelCase							(   self				):
			pass

"""simple docstring"""







def 					__lowerCAmelCase       (_UpperCamelCase	):
	if n_term == "":
		return []
	__lowerCAmelCase    :		list		    =   []
	for temp in range(int(_UpperCamelCase	)	):
		series.append(F"1/{temp + 1}" if series else '1'	)
	return series


if __name__ == "__main__":
							lowerCamelCase__           =	input("""Enter the last number (nth term) of the Harmonic Series""")
							print("""Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n""")
							print(harmonic_series(nth_term))