class_docstr: Calculates if all values are 'True' in a list.
  
  Description:
      Given a list of booleans, return `True` if all
      of the values are `True`.
  
  Examples:
      >>> all = All()
      >>> all([False, False, False, True])
      False
code: def get_function(self, agg_type=Library.PANDAS):
      if agg_type == Library.DASK:
  
          def chunk(s):
              return s.agg(np.all)
  
          def agg(s):
              return s.agg(np.all)
  
          return dd.Aggregation(self.name, chunk=chunk, agg=agg)
  
      return np.all
  
imports: import numpy
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Boolean, BooleanNullable
  from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive
  from featuretools.utils.gen_utils import Library, import_or_none
label_desc: Use image node_id 1 for calling the All obj's underlying member method code with example usage: obj.get_function(agg_type) and returns: np, dd, s, s