




import builtins
import sys

from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP


_snake_case            = False
try:
  _snake_case            = _is_package_available("google.colab")
except ModuleNotFoundError:
  pass







@input.register
class 		lowercase							:

     def __init__(						self	,  _a = None	,  _a = []       )		->							str:
           _A							:  List[str]    =		0
           _A							:  Tuple    =		choices
           _A							:  Optional[int]    =		prompt
           if sys.platform == "win32":
                 _A							:  List[Any]    =		"""*"""
           else:
                 _A							:  Dict    =		"""➔ """

     def       a__			(						self	,  _a	,  _a = ""       )		->							List[str]:
           if sys.platform != "win32":
                 writeColor(self.choices[index]	,  32	,  _a       )
           else:
                 forceWrite(self.choices[index]	,  _a       )

     def       a__			(						self	,  _a       )		->							Tuple:
           if index == self.position:
                 forceWrite(F''' {self.arrow_char} '''       )
                 self.write_choice(_a       )
           else:
                 forceWrite(F'''    {self.choices[index]}'''       )
           reset_cursor()

     def       a__			(						self	,  _a	,  _a = 1       )		->							str:
           _A							:  Optional[int]    =		self.position
           if direction == Direction.DOWN:
                 if self.position + 1 >= len(self.choices       ):
                       return
                 self.position += num_spaces
           else:
                 if self.position - 1 < 0:
                       return
                 self.position -= num_spaces
           clear_line()
           self.print_choice(_a       )
           move_cursor(_a	,  direction.name       )
           self.print_choice(self.position       )

     @input.mark(KEYMAP["""up"""]       )
     def       a__			(						self       )		->							List[Any]:
           self.move_direction(Direction.UP       )

     @input.mark(KEYMAP["""down"""]       )
     def       a__			(						self       )		->							Optional[int]:
           self.move_direction(Direction.DOWN       )

     @input.mark(KEYMAP["""newline"""]       )
     def       a__			(						self       )		->							Optional[int]:
           move_cursor(len(self.choices       ) - self.position	,  """DOWN"""       )
           return self.position

     @input.mark(KEYMAP["""interrupt"""]       )
     def       a__			(						self       )		->							List[Any]:
           move_cursor(len(self.choices       ) - self.position	,  """DOWN"""       )
           raise KeyboardInterrupt

     @input.mark_multiple(*[KEYMAP[str(_a       )] for number in range(10       )]       )
     def       a__			(						self       )		->							List[Any]:
           _A							:  Dict    =		int(chr(self.current_selection       )       )
           _A							:  Dict    =		index - self.position
           if index == self.position:
                 return
           if index < len(self.choices       ):
                 if self.position > index:
                       self.move_direction(Direction.UP	,  -movement       )
                 elif self.position < index:
                       self.move_direction(Direction.DOWN	,  _a       )
                 else:
                       return
           else:
                 return



     def       a__			(						self	,  _a = 0       )		->							Optional[Any]:
           if self.prompt:
                 linebreak()
                 forceWrite(self.prompt	,  """\n"""       )
                 if in_colab:
                       forceWrite("""Please input a choice index (starting from 0), and press enter"""	,  """\n"""       )
                 else:
                       forceWrite("""Please select a choice using the arrow or number keys, and selecting with enter"""	,  """\n"""       )
           _A							:  int    =		default_choice
           for i in range(len(self.choices       )       ):
                 self.print_choice(_a       )
                 forceWrite("""\n"""       )
           move_cursor(len(self.choices       ) - self.position	,  """UP"""       )
           with cursor.hide():
                 while True:
                       if in_colab:
                             try:
                                   _A							:  Dict    =		int(builtins.input()       )
                             except ValueError:
                                   _A							:  List[Any]    =		default_choice
                       else:
                             _A							:  Union[str, Any]    =		self.handle_input()
                       if choice is not None:
                             reset_cursor()
                             for _ in range(len(self.choices       ) + 1       ):
                                   move_cursor(1	,  """UP"""       )
                                   clear_line()
                             self.write_choice(_a	,  """\n"""       )
                             return choice







import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
  from transformers.models.rag.configuration_rag import RagConfig
  from transformers.models.rag.tokenization_rag import RagTokenizer







@require_faiss
@require_torch
class 		lowercase							(     UpperCamelCase__	):

     def       a__			(						self       )		->							int:
           _A							:  int    =		tempfile.mkdtemp()
           _A							:  Union[str, Any]    =		8

           # DPR tok
           _A							:  List[str]    =		[
               """[UNK]""",
               """[CLS]""",
               """[SEP]""",
               """[PAD]""",
               """[MASK]""",
               """want""",
               """##want""",
               """##ed""",
               """wa""",
               """un""",
               """runn""",
               """##ing""",
               """,""",
               """low""",
               """lowest""",
           ]
           _A							:  List[str]    =		os.path.join(self.tmpdirname	,  """dpr_tokenizer"""       )
           os.makedirs(_a	,  exist_ok=_a       )
           _A							:  str    =		os.path.join(_a	,  DPR_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]       )       )

           # BART tok
           _A							:  Dict    =		[
               """l""",
               """o""",
               """w""",
               """e""",
               """r""",
               """s""",
               """t""",
               """i""",
               """d""",
               """n""",
               """\u0120""",
               """\u0120l""",
               """\u0120n""",
               """\u0120lo""",
               """\u0120low""",
               """er""",
               """\u0120lowest""",
               """\u0120newer""",
               """\u0120wider""",
               """<unk>""",
           ]
           _A							:  Optional[Any]    =		dict(zip(_a	,  range(len(_a       )       )       )       )
           _A							:  Tuple    =		["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
           _A							:  Dict    =		{"""unk_token""": """<unk>"""}

           _A							:  Optional[Any]    =		os.path.join(self.tmpdirname	,  """bart_tokenizer"""       )
           os.makedirs(_a	,  exist_ok=_a       )
           _A							:  str    =		os.path.join(_a	,  BART_VOCAB_FILES_NAMES["""vocab_file"""]       )
           _A							:  List[Any]    =		os.path.join(_a	,  BART_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       a__			(						self       )		->							DPRQuestionEncoderTokenizer:
           return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname	,  """dpr_tokenizer"""       )       )

     def       a__			(						self       )		->							BartTokenizer:
           return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname	,  """bart_tokenizer"""       )       )

     def       a__			(						self       )		->							Optional[Any]:
           shutil.rmtree(self.tmpdirname       )

     @require_tokenizers
     def       a__			(						self       )		->							str:
           _A							:  Optional[Any]    =		os.path.join(self.tmpdirname	,  """rag_tokenizer"""       )
           _A							:  int    =		RagConfig(question_encoder=DPRConfig().to_dict()	,  generator=BartConfig().to_dict()       )
           _A							:  Any    =		RagTokenizer(question_encoder=self.get_dpr_tokenizer()	,  generator=self.get_bart_tokenizer()       )
           rag_config.save_pretrained(_a       )
           rag_tokenizer.save_pretrained(_a       )
           _A							:  Optional[Any]    =		RagTokenizer.from_pretrained(_a	,  config=_a       )
           self.assertIsInstance(new_rag_tokenizer.question_encoder	,  _a       )
           self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()	,  rag_tokenizer.question_encoder.get_vocab()       )
           self.assertIsInstance(new_rag_tokenizer.generator	,  _a       )
           self.assertEqual(new_rag_tokenizer.generator.get_vocab()	,  rag_tokenizer.generator.get_vocab()       )

     @slow
     def       a__			(						self       )		->							str:
           _A							:  Union[str, Any]    =		RagTokenizer.from_pretrained("""facebook/rag-token-nq"""       )
           _A							:  Tuple    =		[
               """who got the first nobel prize in physics""",
               """when is the next deadpool movie being released""",
               """which mode is used for short wave broadcast service""",
               """who is the owner of reading football club""",
               """when is the next scandal episode coming out""",
               """when is the last time the philadelphia won the superbowl""",
               """what is the most current adobe flash player version""",
               """how many episodes are there in dragon ball z""",
               """what is the first step in the evolution of the eye""",
               """where is gall bladder situated in human body""",
               """what is the main mineral in lithium batteries""",
               """who is the president of usa right now""",
               """where do the greasers live in the outsiders""",
               """panda is a national animal of which country""",
               """what is the name of manchester united stadium""",
           ]
           _A							:  Tuple    =		tokenizer(_a       )
           self.assertIsNotNone(_a       )



     @slow
     def       a__			(						self       )		->							Dict:
           _A							:  Dict    =		RagTokenizer.from_pretrained("""facebook/rag-sequence-nq"""       )
           _A							:  str    =		[
               """who got the first nobel prize in physics""",
               """when is the next deadpool movie being released""",
               """which mode is used for short wave broadcast service""",
               """who is the owner of reading football club""",
               """when is the next scandal episode coming out""",
               """when is the last time the philadelphia won the superbowl""",
               """what is the most current adobe flash player version""",
               """how many episodes are there in dragon ball z""",
               """what is the first step in the evolution of the eye""",
               """where is gall bladder situated in human body""",
               """what is the main mineral in lithium batteries""",
               """who is the president of usa right now""",
               """where do the greasers live in the outsiders""",
               """panda is a national animal of which country""",
               """what is the name of manchester united stadium""",
           ]
           _A							:  Optional[Any]    =		tokenizer(_a       )
           self.assertIsNotNone(_a       )

