class_docstr: Class providing an artificial backend, that reads data into memory.
class_docstr_tok: ["Class","providing","an","artificial","backend",",","that","reads","data","into","memory","."]
docstr: Initialise NoBackend.
  
  Parameters
  ----------
  identifier: initialize data source identifier, provides loader.
  use_indexer: bool or mapper object
       Flag or mapper object to tell whether data should be indexed (default: `False`).
  remap: bool
       Flag for partitioner to indicate whether to remap previously indexed data to (0, <size_of_partition>)
       (default: `False`).
  name: str
       Name identifying files for the indexer, partition name/id.
  parent:
       Parent data loader that persists data.
  verbose: bool
       Verbosity.
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code: def __init__(
      self,
      identifier,
      use_indexer=True,
      remap=False,
      name="main_partition",
      parent=None,
      in_memory=True,
      root_directory=None,
      use_filter=False,
      verbose=False,
  ):
      """Initialise NoBackend.
  
      Parameters
      ----------
      identifier: initialize data source identifier, provides loader.
      use_indexer: bool or mapper object
           Flag or mapper object to tell whether data should be indexed (default: `False`).
      remap: bool
           Flag for partitioner to indicate whether to remap previously indexed data to (0, <size_of_partition>)
           (default: `False`).
      name: str
           Name identifying files for the indexer, partition name/id.
      parent:
           Parent data loader that persists data.
      verbose: bool
           Verbosity.
      """
      # in_memory = False
      self.verbose = verbose
      self.identifier = identifier
      self.use_indexer = use_indexer
      self.remap = remap
      self.name = name
      self.parent = parent
      self.in_memory = in_memory
      if root_directory is None:
          self.root_directory = tempfile.gettempdir()
      else:
          self.root_directory = root_directory
      self.use_filter = use_filter
      self.sources = {}
  
imports: import logging
  import tempfile
  import uuid
  from datetime import datetime
  import numpy
  import pandas
  import tensorflow
  from .data_indexer import DataIndexer
  from .source_identifier import DataSourceIdentifier
label_desc: Use image node_id 1 to create a new NoBackend object  with example: obj = NoBackend(identifier, use_indexer, remap, name, parent, in_memory, root_directory, use_filter, verbose)