code: def floor(x, out=None, where=None, **kwargs):
      r"""
      Return the floor of the input, element-wise.
  
      The floor of the scalar `x` is the largest integer `i`, such that
      `i <= x`.  It is often denoted as :math:`\lfloor x \rfloor`.
  
      Parameters
      ----------
      x : array_like
          Input data.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      y : Tensor or scalar
          The floor of each element in `x`.
  
      See Also
      --------
      ceil, trunc, rint
  
      Notes
      -----
      Some spreadsheet programs calculate the "floor-towards-zero", in other
      words ``floor(-2.5) == -2``.  NumPy instead uses the definition of
      `floor` where `floor(-2.5) == -3`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> a = mt.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
      >>> mt.floor(a).execute()
      array([-2., -2., -1.,  0.,  1.,  1.,  2.])
      """
      op = TensorFloor(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/floor.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: floor(x, out, where) and returns: op