code: def logspace(
      start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0
  ):
      """
      Return numbers spaced evenly on a log scale.
  
      In linear space, the sequence starts at ``base ** start``
      (`base` to the power of `start`) and ends with ``base ** stop``
      (see `endpoint` below).
  
      .. versionchanged:: 1.16.0
          Non-scalar `start` and `stop` are now supported.
  
      Parameters
      ----------
      start : array_like
          ``base ** start`` is the starting value of the sequence.
      stop : array_like
          ``base ** stop`` is the final value of the sequence, unless `endpoint`
          is False.  In that case, ``num + 1`` values are spaced over the
          interval in log-space, of which all but the last (a sequence of
          length `num`) are returned.
      num : integer, optional
          Number of samples to generate.  Default is 50.
      endpoint : boolean, optional
          If true, `stop` is the last sample. Otherwise, it is not included.
          Default is True.
      base : float, optional
          The base of the log space. The step size between the elements in
          ``ln(samples) / ln(base)`` (or ``log_base(samples)``) is uniform.
          Default is 10.0.
      dtype : dtype
          The type of the output array.  If `dtype` is not given, infer the data
          type from the other input arguments.
      axis : int, optional
          The axis in the result to store the samples.  Relevant only if start
          or stop are array-like.  By default (0), the samples will be along a
          new axis inserted at the beginning. Use -1 to get an axis at the end.
  
          .. versionadded:: 1.16.0
  
  
      Returns
      -------
      samples : ndarray
          `num` samples, equally spaced on a log scale.
  
      See Also
      --------
      arange : Similar to linspace, with the step size specified instead of the
               number of samples. Note that, when used with a float endpoint, the
               endpoint may or may not be included.
      linspace : Similar to logspace, but with the samples uniformly distributed
                 in linear space, instead of log space.
      geomspace : Similar to logspace, but with endpoints specified directly.
  
      Notes
      -----
      Logspace is equivalent to the code
  
      >>> y = np.linspace(start, stop, num=num, endpoint=endpoint)
      ... # doctest: +SKIP
      >>> power(base, y).astype(dtype)
      ... # doctest: +SKIP
  
      Examples
      --------
      >>> np.logspace(2.0, 3.0, num=4)
      array([  100.        ,   215.443469  ,   464.15888336,  1000.        ])
      >>> np.logspace(2.0, 3.0, num=4, endpoint=False)
      array([ 100.        ,  177.827941  ,  316.22776602,  562.34132519])
      >>> np.logspace(2.0, 3.0, num=4, base=2.0)
      array([ 4.        ,  5.0396842 ,  6.34960421,  8.        ])
  
      Graphical illustration:
  
      >>> import matplotlib.pyplot as plt
      >>> N = 10
      >>> x1 = np.logspace(0.1, 1, N, endpoint=True)
      >>> x2 = np.logspace(0.1, 1, N, endpoint=False)
      >>> y = np.zeros(N)
      >>> plt.plot(x1, y, 'o')
      [<matplotlib.lines.Line2D object at 0x...>]
      >>> plt.plot(x2, y + 0.5, 'o')
      [<matplotlib.lines.Line2D object at 0x...>]
      >>> plt.ylim([-0.5, 1])
      (-0.5, 1)
      >>> plt.show()
  
      """
      y = linspace(start, stop, num=num, endpoint=endpoint, axis=axis)
      if dtype is None:
          return _nx.power(base, y)
      return _nx.power(base, y).astype(dtype, copy=False)
  
file_path: catboost/contrib/python/numpy/py2/numpy/core/function_base.py
imports: from __future__ import division, absolute_import, print_function
  import functools
  import warnings
  import operator
  from .None import numeric
  from .numeric import result_type, NaN, shares_memory, MAY_SHARE_BOUNDS, TooHardError, asanyarray, ndim
  from numpy.core.multiarray import add_docstring
  from numpy.core import overrides
label_desc: Use image node_id 5 for calling a global function with example usage: logspace(start, stop, num, endpoint, base, dtype, axis) and returns: _nx, _nx