



'''simple docstring'''
import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

_UpperCamelCase									=      [[12, 10], [3, 9]]
_UpperCamelCase									=      [[3, 4], [7, 4]]
_UpperCamelCase									=      [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
_UpperCamelCase									=      [[3, 0, -2], [2, 0, 2], [0, 1, 1]]
_UpperCamelCase									=      [[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
_UpperCamelCase									=      [1]
_UpperCamelCase									=      [2]

_UpperCamelCase									=      logging.getLogger()
_UpperCamelCase									=      logging.DEBUG
_UpperCamelCase									=      logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ("""mat1""", """mat2""")      ,				[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]			)
def 	lowercase_						( lowerCAmelCase__						:	List[str]      ,				lowerCAmelCase__						:	List[Any]			):

			"""simple docstring"""





			if (np.array(lowerCAmelCase__			)).shape < (2, 2) or (np.array(lowerCAmelCase__			)).shape < (2, 2):
						with pytest.raises(lowerCAmelCase__			):
									logger.info(f'\n\t{test_addition.__name__} returned integer'			)
									matop.add(lowerCAmelCase__      ,				lowerCAmelCase__			)
			elif (np.array(lowerCAmelCase__			)).shape == (np.array(lowerCAmelCase__			)).shape:
						logger.info(f'\n\t{test_addition.__name__} with same matrix dims'			)
						__UpperCAmelCase :   Union[str, Any]    					=  (np.array(lowerCAmelCase__			) + np.array(lowerCAmelCase__			)).tolist()
						__UpperCAmelCase :   List[str]    					=  matop.add(lowerCAmelCase__      ,				lowerCAmelCase__			)
						assert theo == act
			else:
						with pytest.raises(lowerCAmelCase__			):
									logger.info(f'\n\t{test_addition.__name__} with different matrix dims'			)
									matop.add(lowerCAmelCase__      ,				lowerCAmelCase__			)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ("""mat1""", """mat2""")      ,				[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]			)
def 	lowercase_						( lowerCAmelCase__						:	Tuple      ,				lowerCAmelCase__						:	str			):

			"""simple docstring"""





			if (np.array(lowerCAmelCase__			)).shape < (2, 2) or (np.array(lowerCAmelCase__			)).shape < (2, 2):
						with pytest.raises(lowerCAmelCase__			):
									logger.info(f'\n\t{test_subtraction.__name__} returned integer'			)
									matop.subtract(lowerCAmelCase__      ,				lowerCAmelCase__			)
			elif (np.array(lowerCAmelCase__			)).shape == (np.array(lowerCAmelCase__			)).shape:
						logger.info(f'\n\t{test_subtraction.__name__} with same matrix dims'			)
						__UpperCAmelCase :   Any    					=  (np.array(lowerCAmelCase__			) - np.array(lowerCAmelCase__			)).tolist()
						__UpperCAmelCase :   Any    					=  matop.subtract(lowerCAmelCase__      ,				lowerCAmelCase__			)
						assert theo == act
			else:
						with pytest.raises(lowerCAmelCase__			):
									logger.info(f'\n\t{test_subtraction.__name__} with different matrix dims'			)
									assert matop.subtract(lowerCAmelCase__      ,				lowerCAmelCase__			)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ("""mat1""", """mat2""")      ,				[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]			)
def 	lowercase_						( lowerCAmelCase__						:	Dict      ,				lowerCAmelCase__						:	Tuple			):

			"""simple docstring"""





			if (np.array(lowerCAmelCase__			)).shape < (2, 2) or (np.array(lowerCAmelCase__			)).shape < (2, 2):
						logger.info(f'\n\t{test_multiplication.__name__} returned integer'			)
						with pytest.raises(lowerCAmelCase__			):
									matop.add(lowerCAmelCase__      ,				lowerCAmelCase__			)
			elif (np.array(lowerCAmelCase__			)).shape == (np.array(lowerCAmelCase__			)).shape:
						logger.info(f'\n\t{test_multiplication.__name__} meets dim requirements'			)
						__UpperCAmelCase :   Tuple    					=  (np.matmul(lowerCAmelCase__      ,				lowerCAmelCase__			)).tolist()
						__UpperCAmelCase :   Optional[Any]    					=  matop.multiply(lowerCAmelCase__      ,				lowerCAmelCase__			)
						assert theo == act
			else:
						with pytest.raises(lowerCAmelCase__			):
									logger.info(
									    f'\n\t{test_multiplication.__name__} does not meet dim requirements'			)
									assert matop.subtract(lowerCAmelCase__      ,				lowerCAmelCase__			)


@pytest.mark.mat_ops
def 	lowercase_						( ):

			"""simple docstring"""





			__UpperCAmelCase :   List[Any]    					=  (3.5 * np.array(lowerCAmelCase__			)).tolist()
			__UpperCAmelCase :   List[str]    					=  matop.scalar_multiply(lowerCAmelCase__      ,				3.5			)
			assert theo == act


@pytest.mark.mat_ops
def 	lowercase_						( ):

			"""simple docstring"""





			__UpperCAmelCase :   Union[str, Any]    					=  (np.identity(5			)).tolist()
			__UpperCAmelCase :   Optional[int]    					=  matop.identity(5			)
			assert theo == act






@pytest.mark.mat_ops
@pytest.mark.parametrize("""mat"""      ,				[mat_a, mat_b, mat_c, mat_d, mat_e, mat_f]			)
def 	lowercase_						( lowerCAmelCase__						:	Optional[Any]			):

			"""simple docstring"""





			if (np.array(lowerCAmelCase__			)).shape < (2, 2):
						with pytest.raises(lowerCAmelCase__			):
									logger.info(f'\n\t{test_transpose.__name__} returned integer'			)
									matop.transpose(lowerCAmelCase__			)
			else:
						__UpperCAmelCase :   Tuple    					=  (np.transpose(lowerCAmelCase__			)).tolist()
						__UpperCAmelCase :   Any    					=  matop.transpose(lowerCAmelCase__      ,				return_map=lowerCAmelCase__			)
						assert theo == act









'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation

_UpperCamelCase									=      logging.get_logger(__name__)

_UpperCamelCase									=      {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

_UpperCamelCase									=      {
    '''vocab_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/vocab.json''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/vocab.json''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/vocab.json''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/vocab.json''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/merges.txt''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/merges.txt''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/merges.txt''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/merges.txt''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/merges.txt''',
    },
}

_UpperCamelCase									=      {
    '''gpt2''': 1024,
    '''gpt2-medium''': 1024,
    '''gpt2-large''': 1024,
    '''gpt2-xl''': 1024,
    '''distilgpt2''': 1024,
}


@lru_cache()
def 	lowercase_						( ):

			"""simple docstring"""





			__UpperCAmelCase :   Dict    					=  (
			    list(range(ord("""!"""			)      ,				ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)      ,				ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)      ,				ord("""ÿ"""			) + 1			)			)
			)
			__UpperCAmelCase :   Union[str, Any]    					=  bs[:]
			__UpperCAmelCase :   Optional[int]    					=  0
			for b in range(2**8			):
						if b not in bs:
									bs.append(lowerCAmelCase__			)
									cs.append(2**8 + n			)
									n += 1
			__UpperCAmelCase :   List[str]    					=  [chr(lowerCAmelCase__			) for n in cs]
			return dict(zip(lowerCAmelCase__      ,				lowerCAmelCase__			)			)


def 	lowercase_						( lowerCAmelCase__						:	List[str]			):

			"""simple docstring"""





			__UpperCAmelCase :   Any    					=  set()
			__UpperCAmelCase :   Dict    					=  word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						__UpperCAmelCase :   Union[str, Any]    					=  char
			return pairs






class _A	(     __SCREAMING_SNAKE_CASE     ):
		_SCREAMING_SNAKE_CASE       :     Any       =      VOCAB_FILES_NAMES
		_SCREAMING_SNAKE_CASE       :     str       =      PRETRAINED_VOCAB_FILES_MAP
		_SCREAMING_SNAKE_CASE       :     str       =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_SCREAMING_SNAKE_CASE       :     Dict       =      ["input_ids", "attention_mask"]





		def __init__(  self			,							__UpperCAmelCase			,							__UpperCAmelCase			,							__UpperCAmelCase="replace"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase=None			,							__UpperCAmelCase=False			,							__UpperCAmelCase=False			,							**__UpperCAmelCase			,							)							->  List[Any]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else bos_token
					__UpperCAmelCase :   List[str]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else eos_token
					__UpperCAmelCase :   Optional[Any]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else unk_token
					__UpperCAmelCase :   Union[str, Any]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else pad_token
					super().__init__(
					    errors=__UpperCAmelCase			,							unk_token=__UpperCAmelCase			,							bos_token=__UpperCAmelCase			,							eos_token=__UpperCAmelCase			,							pad_token=__UpperCAmelCase			,							add_prefix_space=__UpperCAmelCase			,							add_bos_token=__UpperCAmelCase			,							**__UpperCAmelCase			,							)
					__UpperCAmelCase :   Optional[Any]    					=  add_bos_token

					with open(__UpperCAmelCase			,							encoding="""utf-8"""					) as vocab_handle:
								__UpperCAmelCase :   str    					=  json.load(__UpperCAmelCase					)
					__UpperCAmelCase :   List[str]    					=  {v: k for k, v in self.encoder.items()}
					__UpperCAmelCase :   Tuple    					=  errors  # how to handle errors in decoding
					__UpperCAmelCase :   List[Any]    					=  bytes_to_unicode()
					__UpperCAmelCase :   Optional[Any]    					=  {v: k for k, v in self.byte_encoder.items()}
					with open(__UpperCAmelCase			,							encoding="""utf-8"""					) as merges_handle:
								__UpperCAmelCase :   Optional[int]    					=  merges_handle.read().split("""\n"""					)[1:-1]
					__UpperCAmelCase :   List[str]    					=  [tuple(merge.split()					) for merge in bpe_merges]
					__UpperCAmelCase :   int    					=  dict(zip(__UpperCAmelCase			,							range(len(__UpperCAmelCase					)					)					)					)
					__UpperCAmelCase :   Tuple    					=  {}
					__UpperCAmelCase :   List[Any]    					=  add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					__UpperCAmelCase :   Tuple    					=  re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""					)





		@property
		def 				__A							(  self					)							->  List[str]:

					'''simple docstring'''
					return len(self.encoder					)





		def 				__A							(  self					)							->  Tuple:

					'''simple docstring'''
					return dict(self.encoder			,							**self.added_tokens_encoder					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  int:

					'''simple docstring'''
					if token in self.cache:
								return self.cache[token]
					__UpperCAmelCase :   str    					=  tuple(__UpperCAmelCase					)
					__UpperCAmelCase :   Optional[int]    					=  get_pairs(__UpperCAmelCase					)

					if not pairs:
								return token

					while True:
								__UpperCAmelCase :   Dict    					=  min(__UpperCAmelCase			,							key=lambda __UpperCAmelCase					: self.bpe_ranks.get(__UpperCAmelCase			,							float("""inf"""					)					)					)
								if bigram not in self.bpe_ranks:
											break
								__UpperCAmelCase					,	__UpperCAmelCase :   Union[str, Any]    					=  bigram
								__UpperCAmelCase :   Optional[Any]    					=  []
								__UpperCAmelCase :   Any    					=  0
								while i < len(__UpperCAmelCase					):
											try:
														__UpperCAmelCase :   Optional[Any]    					=  word.index(__UpperCAmelCase			,							__UpperCAmelCase					)
											except ValueError:
														new_word.extend(word[i:]					)
														break
											else:
														new_word.extend(word[i:j]					)
														__UpperCAmelCase :   Tuple    					=  j

											if word[i] == first and i < len(__UpperCAmelCase					) - 1 and word[i + 1] == second:
														new_word.append(first + second					)
														i += 2
											else:
														new_word.append(word[i]					)
														i += 1
								__UpperCAmelCase :   int    					=  tuple(__UpperCAmelCase					)
								__UpperCAmelCase :   Optional[int]    					=  new_word
								if len(__UpperCAmelCase					) == 1:
											break
								else:
											__UpperCAmelCase :   Union[str, Any]    					=  get_pairs(__UpperCAmelCase					)
					__UpperCAmelCase :   List[str]    					=  """ """.join(__UpperCAmelCase					)
					__UpperCAmelCase :   List[Any]    					=  word
					return word





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=None					)							->  Tuple:

					'''simple docstring'''
					if self.add_bos_token:
								__UpperCAmelCase :   List[Any]    					=  [self.bos_token_id]
					else:
								__UpperCAmelCase :   List[Any]    					=  []

					__UpperCAmelCase :   Optional[Any]    					=  bos_token_ids + token_ids_a

					if token_ids_a is None:
								return output

					return output + bos_token_ids + token_ids_a





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None			,							__UpperCAmelCase = False					)							->  List[int]:

					'''simple docstring'''
					if already_has_special_tokens:
								return super().get_special_tokens_mask(
								    token_ids_a=__UpperCAmelCase			,							token_ids_a=__UpperCAmelCase			,							already_has_special_tokens=__UpperCAmelCase					)

					if not self.add_bos_token:
								return super().get_special_tokens_mask(
								    token_ids_a=__UpperCAmelCase			,							token_ids_a=__UpperCAmelCase			,							already_has_special_tokens=__UpperCAmelCase					)

					if token_ids_a is None:
								return [1] + ([0] * len(__UpperCAmelCase					))
					return [1] + ([0] * len(__UpperCAmelCase					)) + [1] + ([0] * len(__UpperCAmelCase					))





		def 				__A							(  self			,							__UpperCAmelCase					)							->  int:

					'''simple docstring'''
					__UpperCAmelCase :   Optional[Any]    					=  []
					for token in re.findall(self.pat			,							__UpperCAmelCase					):
								__UpperCAmelCase :   str    					=  """""".join(
								    self.byte_encoder[b] for b in token.encode("""utf-8"""					)					)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
								bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__UpperCAmelCase					).split(""" """					)					)
					return bpe_tokens





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Tuple:

					'''simple docstring'''
					return self.encoder.get(__UpperCAmelCase			,							self.encoder.get(self.unk_token					)					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Dict:

					'''simple docstring'''
					return self.decoder.get(__UpperCAmelCase					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Any:

					'''simple docstring'''
					__UpperCAmelCase :   int    					=  """""".join(__UpperCAmelCase					)
					__UpperCAmelCase :   Dict    					=  bytearray([self.byte_decoder[c] for c in text]					).decode("""utf-8"""			,							errors=self.errors					)
					return text





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None					)							->  Tuple[str]:

					'''simple docstring'''
					if not os.path.isdir(__UpperCAmelCase					):
								logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
								return
					__UpperCAmelCase :   Tuple    					=  os.path.join(
					    __UpperCAmelCase			,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
					__UpperCAmelCase :   str    					=  os.path.join(
					    __UpperCAmelCase			,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

					with open(__UpperCAmelCase			,							"""w"""			,							encoding="""utf-8"""					) as f:
								f.write(json.dumps(self.encoder			,							indent=2			,							sort_keys=__UpperCAmelCase			,							ensure_ascii=__UpperCAmelCase					) + """\n"""					)

					__UpperCAmelCase :   List[Any]    					=  0
					with open(__UpperCAmelCase			,							"""w"""			,							encoding="""utf-8"""					) as writer:
								writer.write("""#version: 0.2\n"""					)
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,							key=lambda __UpperCAmelCase					: kv[1]					):
											if index != token_index:
														logger.warning(
														    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
														    """ Please check that the tokenizer is not corrupted!"""					)
														__UpperCAmelCase :   List[Any]    					=  token_index
											writer.write(""" """.join(__UpperCAmelCase					) + """\n"""					)
											index += 1

					return vocab_file, merge_file





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=False			,							**__UpperCAmelCase					)							->  Tuple:

					'''simple docstring'''
					__UpperCAmelCase :   Dict    					=  kwargs.pop("""add_prefix_space"""			,							self.add_prefix_space					)
					if is_split_into_words or add_prefix_space:
								__UpperCAmelCase :   int    					=  """ """ + text
					return (text, kwargs)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  List[int]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  []
					for is_user, text in conversation.iter_texts():
								input_ids.extend(self.encode(__UpperCAmelCase			,							add_special_tokens=__UpperCAmelCase					) + [self.eos_token_id]					)
					if len(__UpperCAmelCase					) > self.model_max_length:
								__UpperCAmelCase :   Optional[int]    					=  input_ids[-self.model_max_length :]
					return input_ids




