code: def execute(cls, ctx, op: "TensorBinCount"):
      if op.stage == OperandStage.map:
          op._execute_map(ctx, op)
      elif op.stage == OperandStage.reduce:
          op._execute_reduce(ctx, op)
      else:
          input_val = ctx[op.inputs[0].key]
          weights_val = (
              ctx[op.weights.key] if op.weights is not None else None
          )
          ctx[op.outputs[0].key] = np.bincount(
              input_val, weights=weights_val, minlength=op.minlength
          )
  
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 7 for calling the TensorBinCount obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types