





'''simple docstring'''






import argparse
import logging

import numpy as np
import torch

from transformers import AutoModelForCausalLM, AutoTokenizer


logging.basicConfig(
    format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
    datefmt="%m/%d/%Y %H:%M:%S",
    level=logging.INFO,
)
__UpperCamelCase										=  logging.getLogger(__name__)







def 				_a	(					_lowerCamelCase   ):



			"""simple docstring"""


			np.random.seed(args.seed   )
			torch.manual_seed(args.seed   )
			if args.n_gpu > 0:
						torch.cuda.manual_seed_all(args.seed   )







def 				_a	(					):



			"""simple docstring"""


			__snake_case				:			Tuple       			=    argparse.ArgumentParser()
			parser.add_argument(
			    """--model_name_or_path"""						,  default=_lowerCamelCase						,  type=_lowerCamelCase						,  required=_lowerCamelCase						,  )
			parser.add_argument("""--prompt"""						,  type=_lowerCamelCase						,  default=""""""   )
			parser.add_argument("""--length"""						,  type=_lowerCamelCase						,  default=20   )
			parser.add_argument("""--stop_token"""						,  type=_lowerCamelCase						,  default=_lowerCamelCase						,  help="""Token at which text generation is stopped"""   )
			parser.add_argument(
			    """--temperature"""						,  type=_lowerCamelCase						,  default=1.0						,  help="""temperature of 1.0 has no effect, lower tend toward greedy sampling"""						,  )
			parser.add_argument(
			    """--repetition_penalty"""						,  type=_lowerCamelCase						,  default=1.0						,  help="""primarily useful for CTRL model; in that case, use 1.2"""   )
			parser.add_argument("""--k"""						,  type=_lowerCamelCase						,  default=0   )
			parser.add_argument("""--penalty_alpha"""						,  type=_lowerCamelCase						,  default=0.0   )
			parser.add_argument("""--p"""						,  type=_lowerCamelCase						,  default=0.9   )

			parser.add_argument("""--prefix"""						,  type=_lowerCamelCase						,  default=""""""						,  help="""Text added prior to input."""   )
			parser.add_argument("""--padding_text"""						,  type=_lowerCamelCase						,  default=""""""						,  help="""Deprecated, the use of `--prefix` is preferred."""   )
			parser.add_argument("""--xlm_language"""						,  type=_lowerCamelCase						,  default=""""""						,  help="""Optional language when used with the XLM model."""   )

			parser.add_argument("""--seed"""						,  type=_lowerCamelCase						,  default=42						,  help="""random seed for initialization"""   )
			parser.add_argument("""--no_cuda"""						,  action="""store_true"""						,  help="""Avoid using CUDA when available"""   )
			parser.add_argument(
			    """--fp16"""						,  action="""store_true"""						,  help="""Whether to use 16-bit (mixed) precision (through NVIDIA apex) instead of 32-bit"""						,  )
			__snake_case				:			int       			=    parser.parse_args()

			__snake_case				:			Dict       			=    torch.device("""cuda""" if torch.cuda.is_available() and not args.no_cuda else """cpu"""   )
			__snake_case				:			Optional[int]       			=    0 if args.no_cuda else torch.cuda.device_count()

			logger.warning(F'''device: {args.device}, n_gpu: {args.n_gpu}, 16-bits training: {args.fpaa}'''   )

			set_seed(_lowerCamelCase   )

			# Initialize the model and tokenizer
			__snake_case				:			Tuple       			=    AutoTokenizer.from_pretrained(args.model_name_or_path   )
			__snake_case				:			Tuple       			=    AutoModelForCausalLM.from_pretrained(args.model_name_or_path   )

			# tokenizer = GPT2Tokenizer.from_pretrained(args.model_name_or_path)
			# model = OPTForCausalLM.from_pretrained(args.model_name_or_path)
			model.to(args.device   )

			if args.fpaa:
						model.half()

			logger.info(_lowerCamelCase   )
			__snake_case				:			List[Any]       			=    args.prompt if args.prompt else input("""Model prompt >>> """   )

			__snake_case				:			List[Any]       			=    tokenizer(_lowerCamelCase						,  return_tensors="""pt"""						,  add_special_tokens=_lowerCamelCase   )
			__snake_case				:			Dict       			=    {key: value.to(args.device   ) for key, value in inputs.items()}

			__snake_case				:			str       			=    model.generate(
			    **_lowerCamelCase						,  max_length=args.length + len(inputs["""input_ids"""][0]   )						,  penalty_alpha=args.penalty_alpha						,  top_k=args.k						,  )

			__snake_case				:			str       			=    []
			for generated_sequence_idx, generated_sequence in enumerate(_lowerCamelCase   ):
						print(F'''=== GENERATED SEQUENCE {generated_sequence_idx + 1} ==='''   )
						__snake_case				:			str       			=    generated_sequence.tolist()

						# Decode text
						__snake_case				:			str       			=    tokenizer.decode(_lowerCamelCase						,  clean_up_tokenization_spaces=_lowerCamelCase						,  add_special_tokens=_lowerCamelCase   )

						# Remove all text after the stop token
						__snake_case				:			str       			=    text[: text.find(args.stop_token   ) if args.stop_token else None]

						# Add the prompt at the beginning of the sequence. Remove the excess text that was used for pre-processing
						__snake_case				:			List[Any]       			=    (
						    prompt_text + text[len(tokenizer.decode(inputs["""input_ids"""][0]						,  clean_up_tokenization_spaces=_lowerCamelCase   )   ) :]
						)

						generated_sequences.append(_lowerCamelCase   )
						print(_lowerCamelCase   )

			return generated_sequences


if __name__ == "__main__":
	main()









'''simple docstring'''






import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english




@require_tokenizers
class    _A   (				__lowercase	,				unittest.TestCase		):
		lowercase__:      str							    =      ElectraTokenizer
		lowercase__:      Dict							    =      ElectraTokenizerFast
		lowercase__:      Union[str, Any]							    =      True
		lowercase__:      Tuple							    =      True
		lowercase__:      int							    =      filter_non_english

		def   lowercase__    (      self				:      Tuple )				->						Tuple:


					"""simple docstring"""

					super().setUp()

					__snake_case				:			Union[str, Any]       			=    [
					    """[UNK]""",
					    """[CLS]""",
					    """[SEP]""",
					    """[PAD]""",
					    """[MASK]""",
					    """want""",
					    """##want""",
					    """##ed""",
					    """wa""",
					    """un""",
					    """runn""",
					    """##ing""",
					    """,""",
					    """low""",
					    """lowest""",
					]
					__snake_case				:			List[Any]       			=    os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES["""vocab_file"""] )
					with open(self.vocab_file     ,			"""w"""     ,			encoding="""utf-8""" ) as vocab_writer:
								vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )

		def   lowercase__    (      self				:      List[Any]     ,			__magic_name__				:      str )				->						str:


					"""simple docstring"""

					__snake_case				:			List[str]       			=    """UNwant\u00E9d,running"""
					__snake_case				:			Any       			=    """unwanted, running"""
					return input_text, output_text

		def   lowercase__    (      self				:      Union[str, Any] )				->						List[str]:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    self.tokenizer_class(self.vocab_file )

					__snake_case				:			Dict       			=    tokenizer.tokenize("""UNwant\u00E9d,running""" )
					self.assertListEqual(__magic_name__     ,			["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""] )
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__ )     ,			[9, 6, 7, 12, 10, 11] )

		def   lowercase__    (      self				:      Dict )				->						int:


					"""simple docstring"""

					if not self.test_rust_tokenizer:
								return

					__snake_case				:			str       			=    self.get_tokenizer()
					__snake_case				:			Union[str, Any]       			=    self.get_rust_tokenizer()

					__snake_case				:			Tuple       			=    """UNwant\u00E9d,running"""

					__snake_case				:			List[str]       			=    tokenizer.tokenize(__magic_name__ )
					__snake_case				:			Dict       			=    rust_tokenizer.tokenize(__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

					__snake_case				:			int       			=    tokenizer.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
					__snake_case				:			str       			=    rust_tokenizer.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

					__snake_case				:			Dict       			=    self.get_rust_tokenizer()
					__snake_case				:			Optional[int]       			=    tokenizer.encode(__magic_name__ )
					__snake_case				:			int       			=    rust_tokenizer.encode(__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

					# With lower casing
					__snake_case				:			str       			=    self.get_tokenizer(do_lower_case=__magic_name__ )
					__snake_case				:			str       			=    self.get_rust_tokenizer(do_lower_case=__magic_name__ )

					__snake_case				:			int       			=    """UNwant\u00E9d,running"""

					__snake_case				:			int       			=    tokenizer.tokenize(__magic_name__ )
					__snake_case				:			List[str]       			=    rust_tokenizer.tokenize(__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

					__snake_case				:			Any       			=    tokenizer.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
					__snake_case				:			Tuple       			=    rust_tokenizer.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

					__snake_case				:			List[Any]       			=    self.get_rust_tokenizer()
					__snake_case				:			Tuple       			=    tokenizer.encode(__magic_name__ )
					__snake_case				:			Optional[int]       			=    rust_tokenizer.encode(__magic_name__ )
					self.assertListEqual(__magic_name__     ,			__magic_name__ )

		def   lowercase__    (      self				:      Union[str, Any] )				->						str:


					"""simple docstring"""

					__snake_case				:			Union[str, Any]       			=    BasicTokenizer()

					self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""" )     ,			["""ah""", """\u535A""", """\u63A8""", """zz"""] )

		def   lowercase__    (      self				:      Tuple )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    BasicTokenizer(do_lower_case=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )     ,			["""hello""", """!""", """how""", """are""", """you""", """?"""] )
					self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,			["""hello"""] )

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


					"""simple docstring"""

					__snake_case				:			Tuple       			=    BasicTokenizer(do_lower_case=__magic_name__     ,			strip_accents=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,			["""hällo""", """!""", """how""", """are""", """you""", """?"""] )
					self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,			["""h\u00E9llo"""] )

		def   lowercase__    (      self				:      Optional[int] )				->						Any:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    BasicTokenizer(do_lower_case=__magic_name__     ,			strip_accents=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,			["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
					self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,			["""hello"""] )

		def   lowercase__    (      self				:      Any )				->						Optional[Any]:


					"""simple docstring"""

					__snake_case				:			Any       			=    BasicTokenizer(do_lower_case=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,			["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
					self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,			["""hello"""] )

		def   lowercase__    (      self				:      Dict )				->						int:


					"""simple docstring"""

					__snake_case				:			Any       			=    BasicTokenizer(do_lower_case=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )     ,			["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

		def   lowercase__    (      self				:      Union[str, Any] )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			str       			=    BasicTokenizer(do_lower_case=__magic_name__     ,			strip_accents=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,			["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

		def   lowercase__    (      self				:      str )				->						int:


					"""simple docstring"""

					__snake_case				:			str       			=    BasicTokenizer(do_lower_case=__magic_name__     ,			strip_accents=__magic_name__ )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,			["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

		def   lowercase__    (      self				:      Optional[Any] )				->						Optional[Any]:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    BasicTokenizer(do_lower_case=__magic_name__     ,			never_split=["""[UNK]"""] )

					self.assertListEqual(
					    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""" )     ,			["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""] )

		def   lowercase__    (      self				:      List[str] )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			str       			=    ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

					__snake_case				:			Union[str, Any]       			=    {}
					for i, token in enumerate(__magic_name__ ):
								__snake_case				:			List[str]       			=    i
					__snake_case				:			Union[str, Any]       			=    WordpieceTokenizer(vocab=__magic_name__     ,			unk_token="""[UNK]""" )

					self.assertListEqual(tokenizer.tokenize("""""" )     ,			[] )

					self.assertListEqual(tokenizer.tokenize("""unwanted running""" )     ,			["""un""", """##want""", """##ed""", """runn""", """##ing"""] )

					self.assertListEqual(tokenizer.tokenize("""unwantedX running""" )     ,			["""[UNK]""", """runn""", """##ing"""] )

		def   lowercase__    (      self				:      str )				->						Dict:


					"""simple docstring"""

					self.assertTrue(_is_whitespace(""" """ ) )
					self.assertTrue(_is_whitespace("""\t""" ) )
					self.assertTrue(_is_whitespace("""\r""" ) )
					self.assertTrue(_is_whitespace("""\n""" ) )
					self.assertTrue(_is_whitespace("""\u00A0""" ) )

					self.assertFalse(_is_whitespace("""A""" ) )
					self.assertFalse(_is_whitespace("""-""" ) )

		def   lowercase__    (      self				:      Optional[int] )				->						Optional[int]:


					"""simple docstring"""

					self.assertTrue(_is_control("""\u0005""" ) )

					self.assertFalse(_is_control("""A""" ) )
					self.assertFalse(_is_control(""" """ ) )
					self.assertFalse(_is_control("""\t""" ) )
					self.assertFalse(_is_control("""\r""" ) )

		def   lowercase__    (      self				:      Tuple )				->						Dict:


					"""simple docstring"""

					self.assertTrue(_is_punctuation("""-""" ) )
					self.assertTrue(_is_punctuation("""$""" ) )
					self.assertTrue(_is_punctuation("""`""" ) )
					self.assertTrue(_is_punctuation(""".""" ) )

					self.assertFalse(_is_punctuation("""A""" ) )
					self.assertFalse(_is_punctuation(""" """ ) )

		def   lowercase__    (      self				:      Union[str, Any] )				->						Optional[Any]:


					"""simple docstring"""

					__snake_case				:			Union[str, Any]       			=    self.get_tokenizer()
					__snake_case				:			Union[str, Any]       			=    self.get_rust_tokenizer()

					# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
					self.assertListEqual([tokenizer.tokenize(__magic_name__ ) for t in ["""Test""", """\xad""", """test"""]]     ,			[["""[UNK]"""], [], ["""[UNK]"""]] )

					self.assertListEqual(
					    [rust_tokenizer.tokenize(__magic_name__ ) for t in ["""Test""", """\xad""", """test"""]]     ,			[["""[UNK]"""], [], ["""[UNK]"""]] )

		@slow
		def   lowercase__    (      self				:      int )				->						Dict:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    self.tokenizer_class.from_pretrained("""google/electra-base-discriminator""" )

					__snake_case				:			Optional[int]       			=    tokenizer.encode("""sequence builders"""     ,			add_special_tokens=__magic_name__ )
					__snake_case				:			Optional[Any]       			=    tokenizer.encode("""multi-sequence build"""     ,			add_special_tokens=__magic_name__ )

					__snake_case				:			List[str]       			=    tokenizer.build_inputs_with_special_tokens(__magic_name__ )
					__snake_case				:			Any       			=    tokenizer.build_inputs_with_special_tokens(__magic_name__     ,			__magic_name__ )

					assert encoded_sentence == [1_01] + text + [1_02]
					assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]

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


					"""simple docstring"""

					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
											__snake_case				:			Tuple       			=    self.rust_tokenizer_class.from_pretrained(__magic_name__     ,			**__magic_name__ )

											__snake_case				:			int       			=    f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
											__snake_case				:			Optional[Any]       			=    tokenizer_r.encode_plus(
											    __magic_name__     ,			return_attention_mask=__magic_name__     ,			return_token_type_ids=__magic_name__     ,			return_offsets_mapping=__magic_name__     ,			add_special_tokens=__magic_name__     ,			)

											__snake_case				:			Optional[int]       			=    tokenizer_r.do_lower_case if hasattr(__magic_name__     ,			"""do_lower_case""" ) else False
											__snake_case				:			List[str]       			=    (
											    [
											        ((0, 0), tokenizer_r.cls_token),
											        ((0, 1), """A"""),
											        ((1, 2), ""","""),
											        ((3, 5), """na"""),
											        ((5, 6), """##ï"""),
											        ((6, 8), """##ve"""),
											        ((9, 15), tokenizer_r.mask_token),
											        ((16, 21), """Allen"""),
											        ((21, 23), """##NL"""),
											        ((23, 24), """##P"""),
											        ((25, 33), """sentence"""),
											        ((33, 34), """."""),
											        ((0, 0), tokenizer_r.sep_token),
											    ]
											    if not do_lower_case
											    else [
											        ((0, 0), tokenizer_r.cls_token),
											        ((0, 1), """a"""),
											        ((1, 2), ""","""),
											        ((3, 8), """naive"""),
											        ((9, 15), tokenizer_r.mask_token),
											        ((16, 21), """allen"""),
											        ((21, 23), """##nl"""),
											        ((23, 24), """##p"""),
											        ((25, 33), """sentence"""),
											        ((33, 34), """."""),
											        ((0, 0), tokenizer_r.sep_token),
											    ]
											)

											self.assertEqual(
											    [e[1] for e in expected_results]     ,			tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""] ) )
											self.assertEqual([e[0] for e in expected_results]     ,			tokens["""offset_mapping"""] )

		def   lowercase__    (      self				:      Optional[int] )				->						int:


					"""simple docstring"""

					__snake_case				:			Any       			=    ["""的""", """人""", """有"""]
					__snake_case				:			Union[str, Any]       			=    """""".join(__magic_name__ )
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
											__snake_case				:			Tuple       			=    True
											__snake_case				:			List[str]       			=    self.tokenizer_class.from_pretrained(__magic_name__     ,			**__magic_name__ )
											__snake_case				:			Tuple       			=    self.rust_tokenizer_class.from_pretrained(__magic_name__     ,			**__magic_name__ )

											__snake_case				:			Tuple       			=    tokenizer_p.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
											__snake_case				:			Optional[int]       			=    tokenizer_r.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )

											__snake_case				:			Union[str, Any]       			=    tokenizer_r.convert_ids_to_tokens(__magic_name__ )
											__snake_case				:			Tuple       			=    tokenizer_p.convert_ids_to_tokens(__magic_name__ )

											# it is expected that each Chinese character is not preceded by "##"
											self.assertListEqual(__magic_name__     ,			__magic_name__ )
											self.assertListEqual(__magic_name__     ,			__magic_name__ )

											__snake_case				:			Dict       			=    False
											__snake_case				:			str       			=    self.rust_tokenizer_class.from_pretrained(__magic_name__     ,			**__magic_name__ )
											__snake_case				:			Tuple       			=    self.tokenizer_class.from_pretrained(__magic_name__     ,			**__magic_name__ )

											__snake_case				:			List[Any]       			=    tokenizer_r.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )
											__snake_case				:			str       			=    tokenizer_p.encode(__magic_name__     ,			add_special_tokens=__magic_name__ )

											__snake_case				:			Optional[Any]       			=    tokenizer_r.convert_ids_to_tokens(__magic_name__ )
											__snake_case				:			List[Any]       			=    tokenizer_p.convert_ids_to_tokens(__magic_name__ )

											# it is expected that only the first Chinese character is not preceded by "##".
											__snake_case				:			Dict       			=    [
											    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(__magic_name__ )
											]
											self.assertListEqual(__magic_name__     ,			__magic_name__ )
											self.assertListEqual(__magic_name__     ,			__magic_name__ )


