code: def _homogenize(data, index, dtype=None):
      oindex = None
      homogenized = []
  
      for val in data:
          if isinstance(val, ABCSeries):
              if dtype is not None:
                  val = val.astype(dtype)
              if val.index is not index:
                  # Forces alignment. No need to copy data since we
                  # are putting it into an ndarray later
                  val = val.reindex(index, copy=False)
          else:
              if isinstance(val, dict):
                  if oindex is None:
                      oindex = index.astype("O")
  
                  if isinstance(
                      index, (ABCDatetimeIndex, ABCTimedeltaIndex)
                  ):
                      val = com.dict_compat(val)
                  else:
                      val = dict(val)
                  val = lib.fast_multiget(
                      val, oindex.values, default=np.nan
                  )
              val = sanitize_array(
                  val,
                  index,
                  dtype=dtype,
                  copy=False,
                  raise_cast_failure=False,
              )
  
          homogenized.append(val)
  
      return homogenized
  
imports: from collections import OrderedDict
  import numpy
  import numpy.ma
  from pandas._libs import lib
  from pandas._libs.tslibs import IncompatibleFrequency
  import pandas.compat
  from pandas.compat import get_range_parameters, lmap, lrange, raise_with_traceback, range
  from pandas.core.dtypes.cast import construct_1d_arraylike_from_scalar, construct_1d_ndarray_preserving_na, construct_1d_object_array_from_listlike, infer_dtype_from_scalar, maybe_cast_to_datetime, maybe_cast_to_integer_array, maybe_castable, maybe_convert_platform, maybe_infer_to_datetimelike, maybe_upcast
  from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64tz_dtype, is_dtype_equal, is_extension_array_dtype, is_extension_type, is_float_dtype, is_integer_dtype, is_iterator, is_list_like, is_object_dtype, pandas_dtype
  from pandas.core.dtypes.generic import ABCDataFrame, ABCDatetimeIndex, ABCIndexClass, ABCPandasArray, ABCPeriodIndex, ABCSeries, ABCTimedeltaIndex
  from pandas.core.dtypes.missing import isna
  from pandas.core import algorithms, common
  from pandas.core.arrays import Categorical, ExtensionArray, period_array
  from pandas.core.index import Index, _get_objs_combined_axis, _union_indexes, ensure_index
  from pandas.core.indexes import base
  from pandas.core.internals import create_block_manager_from_arrays, create_block_manager_from_blocks
  from pandas.core.internals.arrays import extract_array
label_desc: Use image node_id 6 for calling a global function with example usage: _homogenize(data, index, dtype) and returns: homogenized