






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 		_snake_case	(	A__ ,     unittest.TestCase       ):
			_lowercase		:     Tuple        =				CodeGenTokenizer
			_lowercase		:     Tuple        =				CodeGenTokenizerFast
			_lowercase		:     Optional[int]        =				True
			_lowercase		:     List[str]        =				{'''add_prefix_space''': True}
			_lowercase		:     Optional[int]        =				False






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

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

						SCREAMING_SNAKE_CASE							=			os.path.join(self.tmpdirname		,       VOCAB_FILES_NAMES['vocab_file'])
						SCREAMING_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  SCREAMING_SNAKE_CASE__     (							self		,       **a)   ->							Any:
						kwargs.update(self.special_tokens_map)
						return CodeGenTokenizer.from_pretrained(self.tmpdirname		,       **a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       **a)   ->							Optional[Any]:
						kwargs.update(self.special_tokens_map)
						return CodeGenTokenizerFast.from_pretrained(self.tmpdirname		,       **a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							Tuple:
						SCREAMING_SNAKE_CASE							=			'lower newer'
						SCREAMING_SNAKE_CASE							=			'lower newer'
						return input_text, output_text






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							int:
						SCREAMING_SNAKE_CASE							=			CodeGenTokenizer(self.vocab_file		,       self.merges_file		,       **self.special_tokens_map)
						SCREAMING_SNAKE_CASE							=			'lower newer'
						SCREAMING_SNAKE_CASE							=			['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
						SCREAMING_SNAKE_CASE							=			tokenizer.tokenize(a		,       add_prefix_space=a)
						self.assertListEqual(a		,       a)

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






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Tuple:
						if not self.test_rust_tokenizer:
									return

						SCREAMING_SNAKE_CASE							=			self.get_tokenizer()
						SCREAMING_SNAKE_CASE							=			self.get_rust_tokenizer(add_prefix_space=a)

						SCREAMING_SNAKE_CASE							=			'lower newer'

						# Testing tokenization
						SCREAMING_SNAKE_CASE							=			tokenizer.tokenize(a		,       add_prefix_space=a)
						SCREAMING_SNAKE_CASE							=			rust_tokenizer.tokenize(a)
						self.assertListEqual(a		,       a)

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

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

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






			def  SCREAMING_SNAKE_CASE__     (							self		,       *a		,       **a)   ->							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  SCREAMING_SNAKE_CASE__     (							self		,       a=15)   ->							List[str]:
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
												SCREAMING_SNAKE_CASE							=			self.rust_tokenizer_class.from_pretrained(a		,       **a)

												# Simple input
												SCREAMING_SNAKE_CASE							=			'This is a simple input'
												SCREAMING_SNAKE_CASE							=			['This is a simple input 1', 'This is a simple input 2']
												SCREAMING_SNAKE_CASE							=			('This is a simple input', 'This is a pair')
												SCREAMING_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  SCREAMING_SNAKE_CASE__     (							self)   ->							Union[str, Any]:
						SCREAMING_SNAKE_CASE							=			CodeGenTokenizer.from_pretrained(self.tmpdirname		,       pad_token='<pad>')

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

						SCREAMING_SNAKE_CASE							=			tokenizer.pad_token_id

						SCREAMING_SNAKE_CASE							=			tokenizer(a		,       padding='max_length'		,       max_length=30		,       return_tensors='np')
						SCREAMING_SNAKE_CASE							=			tokenizer(a		,       padding=a		,       truncate=a		,       return_tensors='np')
						SCREAMING_SNAKE_CASE							=			tokenizer(*a		,       padding='max_length'		,       max_length=60		,       return_tensors='np')
						SCREAMING_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]		,       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  SCREAMING_SNAKE_CASE__     (							self)   ->							Any:
						SCREAMING_SNAKE_CASE							=			'$$$'
						SCREAMING_SNAKE_CASE							=			CodeGenTokenizer.from_pretrained(self.tmpdirname		,       bos_token=a		,       add_bos_token=a)

						SCREAMING_SNAKE_CASE							=			'This is a simple input'
						SCREAMING_SNAKE_CASE							=			['This is a simple input 1', 'This is a simple input 2']

						SCREAMING_SNAKE_CASE							=			tokenizer.bos_token_id

						SCREAMING_SNAKE_CASE							=			tokenizer(a)
						SCREAMING_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))

						SCREAMING_SNAKE_CASE							=			tokenizer.decode(out_s.input_ids)
						SCREAMING_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  SCREAMING_SNAKE_CASE__     (							self)   ->							int:
						SCREAMING_SNAKE_CASE							=			CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono')

						SCREAMING_SNAKE_CASE							=			'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
						SCREAMING_SNAKE_CASE							=			'\nif len_a > len_b:      result = a\nelse:      result = b'

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







			def  SCREAMING_SNAKE_CASE__     (							self)   ->							str:
						pass











from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_   :      Dict			=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_   :      Union[str, Any]			=   {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}

class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		'''rwkv'''
	__UpperCamelCase   =		{'''max_position_embeddings''': '''context_length'''}




	def __init__(						self							:     List[str]					,      __lowerCamelCase							:     Tuple=50_277					,      __lowerCamelCase							:     List[str]=1_024					,      __lowerCamelCase							:     List[Any]=4_096					,      __lowerCamelCase							:     Tuple=32					,      __lowerCamelCase							:     List[str]=None					,      __lowerCamelCase							:     Optional[int]=None					,      __lowerCamelCase							:     Optional[Any]=1E-5					,      __lowerCamelCase							:     Tuple=0					,      __lowerCamelCase							:     int=0					,      __lowerCamelCase							:     Dict=6					,      __lowerCamelCase							:     List[Any]=False					,      __lowerCamelCase							:     Tuple=True					,      **__lowerCamelCase							:     Optional[int]					,      )       -> List[Any]:

			'''simple docstring'''




			__lowercase											=     vocab_size
			__lowercase											=     context_length
			__lowercase											=     hidden_size
			__lowercase											=     num_hidden_layers
			__lowercase											=     attention_hidden_size if attention_hidden_size is not None else hidden_size
			__lowercase											=     intermediate_size if intermediate_size is not None else 4 * hidden_size
			__lowercase											=     layer_norm_epsilon
			__lowercase											=     rescale_every
			__lowercase											=     use_cache

			__lowercase											=     bos_token_id
			__lowercase											=     eos_token_id

			super().__init__(
			    tie_word_embeddings=__lowerCamelCase					,      bos_token_id=__lowerCamelCase					,      eos_token_id=__lowerCamelCase					,      **__lowerCamelCase   )




