code: def __call__(self, x, weights=None):
      inputs = [x]
      self.weights = weights
      dtype = np.dtype(np.int_)
      if weights is not None:
          inputs.append(weights)
          dtype = weights.dtype
      return self.new_tensor(inputs, dtype=dtype, shape=(np.nan,))
  
imports: import itertools
  import functools
  from typing import Optional
  import numpy
  import pandas
  from ...None import opcodes, options, get_context
  from ...core import recursive_tile, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import Int64Field, ReferenceField
  from ...utils import ceildiv, has_unknown_shape
  from ..datasource import tensor
  from ..operands import TensorOperandMixin, TensorMapReduceOperand
label_desc: Use image node_id 1 for calling the TensorBinCount obj's underlying member method code with example usage: obj.__call__(x, weights) and returns: self