docstr: Returns
  -------
  adjustments : list[dict[int -> Adjustment]]
      A list, where each element corresponds to the `columns`, of
      mappings from index to adjustment objects to apply at that index.
docstr_tok: ["Returns","--","--","--","-","adjustments",":","list","[","dict","[","int","-",">","Adjustment","]","]","A","list",",","where","each","element","corresponds","to","the","`","columns","`",",","of","mappings","from","index","to","adjustment","objects","to","apply","at","that","index","."]
code: def load_pricing_adjustments(self, columns, dts, assets):
      """
      Returns
      -------
      adjustments : list[dict[int -> Adjustment]]
          A list, where each element corresponds to the `columns`, of
          mappings from index to adjustment objects to apply at that index.
      """
      out = [None] * len(columns)
      for i, column in enumerate(columns):
          adjs = {}
          for asset in assets:
              adjs.update(
                  self._get_adjustments_in_range(asset, dts, column)
              )
          out[i] = adjs
      return out
  
imports: from abc import ABCMeta, abstractmethod, abstractproperty
  from numpy import concatenate
  from lru import LRU
  from pandas import isnull
  from toolz import sliding_window
  from six import with_metaclass
  from zipline.assets import Equity, Future
  from zipline.assets.continuous_futures import ContinuousFuture
  from zipline.lib._int64window import AdjustedArrayWindow
  from zipline.lib._float64window import AdjustedArrayWindow
  from zipline.lib.adjustment import Float64Multiply, Float64Add
  from zipline.utils.cache import ExpiringCache
  from zipline.utils.math_utils import number_of_decimal_places
  from zipline.utils.memoize import lazyval
  from zipline.utils.numpy_utils import float64_dtype
  from zipline.utils.pandas_utils import find_in_sorted_index, normalize_date
label_desc: Use image node_id 2 for calling the HistoryCompatibleUSEquityAdjustmentReader obj's underlying member method code with example usage: obj.load_pricing_adjustments(columns, dts, assets) and returns: out