
import os
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ... import AutoTokenizer
from ...utils import logging


_snake_case		  =   "block_records.npy"


_snake_case		  =   logging.get_logger(__name__)
def lowerCamelCase_       (			A			:      str		,					A			:      int						):




      """simple docstring"""
      import tensorflow.compat.va as tf

      lowerCAmelCase_						=      tf.data.TFRecordDataset(A		,					buffer_size=5_12 * 10_24 * 10_24						)
      lowerCAmelCase_						=      blocks_dataset.batch(A		,					drop_remainder=A						)
      lowerCAmelCase_						=      next(blocks_dataset.take(1						).as_numpy_iterator()						)

      return np_record


class 			UpperCamelCase_				:




      '''simple docstring'''







      def __init__( self					,					_UpperCAmelCase					,					_UpperCAmelCase					,					_UpperCAmelCase=2					,					_UpperCAmelCase=1_000					,					_UpperCAmelCase=100					,					_UpperCAmelCase=100_000					,					):
            from scann.scann_ops.py.scann_ops_pybind import builder as Builder

            lowerCAmelCase_						=      Builder(db=_UpperCAmelCase					,					num_neighbors=_UpperCAmelCase					,					distance_measure='''dot_product''')
            lowerCAmelCase_						=      builder.tree(
                num_leaves=_UpperCAmelCase					,					num_leaves_to_search=_UpperCAmelCase					,					training_sample_size=_UpperCAmelCase)
            lowerCAmelCase_						=      builder.score_ah(dimensions_per_block=_UpperCAmelCase)

            lowerCAmelCase_						=      builder.build()







      def lowercase__		( self					,					_UpperCAmelCase):
            lowerCAmelCase_			,		lowerCAmelCase_						=      self.searcher.search_batched(question_projection.detach().cpu())
            return retrieved_block_ids.astype('''int64''')


class 			UpperCamelCase_				:




      '''simple docstring'''







      def __init__( self					,					_UpperCAmelCase					,					_UpperCAmelCase):
            super().__init__()
            lowerCAmelCase_						=      block_records
            lowerCAmelCase_						=      tokenizer







      def __call__( self					,					_UpperCAmelCase					,					_UpperCAmelCase					,					_UpperCAmelCase					,					_UpperCAmelCase=None					,					_UpperCAmelCase="pt"):
            lowerCAmelCase_						=      np.take(self.block_records					,					indices=_UpperCAmelCase					,					axis=0)

            lowerCAmelCase_						=      self.tokenizer.decode(question_input_ids[0]					,					skip_special_tokens=_UpperCAmelCase)

            lowerCAmelCase_						=      []
            lowerCAmelCase_						=      []
            for retrieved_block in retrieved_blocks:
                  text.append(_UpperCAmelCase)
                  text_pair.append(retrieved_block.decode())

            lowerCAmelCase_						=      self.tokenizer(
                _UpperCAmelCase					,					_UpperCAmelCase					,					padding=_UpperCAmelCase					,					truncation=_UpperCAmelCase					,					return_special_tokens_mask=_UpperCAmelCase					,					max_length=_UpperCAmelCase)
            lowerCAmelCase_						=      concat_inputs.convert_to_tensors(_UpperCAmelCase)

            if answer_ids is not None:
                  return self.block_has_answer(_UpperCAmelCase					,					_UpperCAmelCase) + (concat_inputs_tensors,)
            else:
                  return (None, None, None, concat_inputs_tensors)







      @classmethod
      def lowercase__		( cls					,					_UpperCAmelCase					,					*_UpperCAmelCase					,					**_UpperCAmelCase):
            if os.path.isdir(_UpperCAmelCase):
                  lowerCAmelCase_						=      os.path.join(_UpperCAmelCase					,					_REALM_BLOCK_RECORDS_FILENAME)
            else:
                  lowerCAmelCase_						=      hf_hub_download(
                      repo_id=_UpperCAmelCase					,					filename=_REALM_BLOCK_RECORDS_FILENAME					,					**_UpperCAmelCase)
            lowerCAmelCase_						=      np.load(_UpperCAmelCase					,					allow_pickle=_UpperCAmelCase)

            lowerCAmelCase_						=      AutoTokenizer.from_pretrained(_UpperCAmelCase					,					*_UpperCAmelCase					,					**_UpperCAmelCase)

            return cls(_UpperCAmelCase					,					_UpperCAmelCase)







      def lowercase__		( self					,					_UpperCAmelCase):
            # save block records
            np.save(os.path.join(_UpperCAmelCase					,					_REALM_BLOCK_RECORDS_FILENAME)					,					self.block_records)
            # save tokenizer
            self.tokenizer.save_pretrained(_UpperCAmelCase)







      def lowercase__		( self					,					_UpperCAmelCase					,					_UpperCAmelCase):
            lowerCAmelCase_						=      []
            lowerCAmelCase_						=      []
            lowerCAmelCase_						=      []
            lowerCAmelCase_						=      0

            for input_id in concat_inputs.input_ids:
                  lowerCAmelCase_						=      input_id.tolist()
                  # Check answers between two [SEP] tokens
                  lowerCAmelCase_						=      input_id_list.index(self.tokenizer.sep_token_id)
                  lowerCAmelCase_						=      first_sep_idx + 1 + input_id_list[first_sep_idx + 1 :].index(self.tokenizer.sep_token_id)

                  start_pos.append([])
                  end_pos.append([])
                  for answer in answer_ids:
                        for idx in range(first_sep_idx + 1					,					_UpperCAmelCase):
                              if answer[0] == input_id_list[idx]:
                                    if input_id_list[idx : idx + len(_UpperCAmelCase)] == answer:
                                          start_pos[-1].append(_UpperCAmelCase)
                                          end_pos[-1].append(idx + len(_UpperCAmelCase) - 1)

                  if len(start_pos[-1]) == 0:
                        has_answers.append(_UpperCAmelCase)
                  else:
                        has_answers.append(_UpperCAmelCase)
                        if len(start_pos[-1]) > max_answers:
                              lowerCAmelCase_						=      len(start_pos[-1])

        # Pad -1 to max_answers
            for start_pos_, end_pos_ in zip(_UpperCAmelCase					,					_UpperCAmelCase):
                  if len(start_pos_) < max_answers:
                        lowerCAmelCase_						=      [-1] * (max_answers - len(start_pos_))
                        start_pos_ += padded
                        end_pos_ += padded
            return has_answers, start_pos, end_pos





from __future__ import annotations
def lowerCamelCase_       (			A			:      list[int]						):




      """simple docstring"""
      if not list_of_ints:
            return []

      if min(A						) < 0:
            raise ValueError('''All numbers must be positive'''						)

      lowerCAmelCase_						=      max(len(bin(A						)[2:]						) for x in list_of_ints						)
      return _msd_radix_sort(A		,					A						)
def lowerCamelCase_       (			A			:      list[int]		,					A			:      int						):




      """simple docstring"""
      if bit_position == 0 or len(A						) in [0, 1]:
            return list_of_ints

      lowerCAmelCase_						=      []
      lowerCAmelCase_						=      []
      # Split numbers based on bit at bit_position from the right
      for number in list_of_ints:
            if (number >> (bit_position - 1)) & 1:
                  # number has a one at bit bit_position
                  ones.append(A						)
            else:
                  # number has a zero at bit bit_position
                  zeros.append(A						)

    # recursively split both lists further
      lowerCAmelCase_						=      _msd_radix_sort(A		,					bit_position - 1						)
      lowerCAmelCase_						=      _msd_radix_sort(A		,					bit_position - 1						)

      # recombine lists
      lowerCAmelCase_						=      zeros
      res.extend(A						)

      return res
def lowerCamelCase_       (			A			:      list[int]						):




      """simple docstring"""
      lowerCAmelCase_						=      len(A						)
      if not list_of_ints or length == 1:
            return

      if min(A						) < 0:
            raise ValueError('''All numbers must be positive'''						)

      lowerCAmelCase_						=      max(len(bin(A						)[2:]						) for x in list_of_ints						)
      _msd_radix_sort_inplace(A		,					A		,					0		,					A						)
def lowerCamelCase_       (			A			:      list[int]		,					A			:      int		,					A			:      int		,					A			:      int						):




      """simple docstring"""
      if bit_position == 0 or end_index - begin_index <= 1:
            return

      bit_position -= 1

      lowerCAmelCase_						=      begin_index
      lowerCAmelCase_						=      end_index - 1
      while i <= j:
            lowerCAmelCase_						=      False
            if not (list_of_ints[i] >> bit_position) & 1:
                  # found zero at the beginning
                  i += 1
                  lowerCAmelCase_						=      True
            if (list_of_ints[j] >> bit_position) & 1:
                  # found one at the end
                  j -= 1
                  lowerCAmelCase_						=      True

            if changed:
                  continue

            lowerCAmelCase_			,		lowerCAmelCase_						=      list_of_ints[j], list_of_ints[i]
            j -= 1
            if j != i:
                  i += 1

      _msd_radix_sort_inplace(A		,					A		,					A		,					A						)
      _msd_radix_sort_inplace(A		,					A		,					A		,					A						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



