docstr: ivy.Array instance method variant of ivy.amin. This method simply
  wraps the function, and so the docstring for ivy.amin also applies to
  this method with minimal changes.
  
  Parameters
  ----------
  self
      input array. Should have a real-valued data type.
  axis
      axis or axes along which minimum values must be computed. By default, the
      minimum value must be computed over the entire array. If a tuple of
      integers, minimum values must be computed over multiple axes.
      Default: ``None``.
  keepdims
      optional boolean, if ``True``, the reduced axes (dimensions) must be
      included in the result as singleton dimensions, and, accordingly, the
      result must be compatible with the input array
      (see `broadcasting<https://data-apis.org/array-api/latest/
      API_specification/broadcasting.html#broadcasting>`_). Otherwise,
      if ``False``, the reduced axes (dimensions)
      must not be included in the result.
      Default: ``False``.
  out
      optional output array, for writing the result to.
  
  Returns
  -------
  ret
      if the minimum value was computed over the entire array, a zero-dimensional
      array containing the minimum value; otherwise, a non-zero-dimensional array
      containing the minimum values. The returned array must have the same
      data type as ``x``.
  
  Examples
  --------
  >>> x = ivy.array([3., 4., 5.])
  >>> y = x.amin()
  >>> print(y)
  ivy.array(3.)
  
  >>> x = ivy.array([[-1, 0, 1], [2, 3, 4]])
  >>> y = x.amin(axis=1)
  >>> print(y)
  ivy.array([-1,  2])
  
  >>> x = ivy.array([0.1, 1.1, 2.1])
  >>> y = ivy.array(0.)
  >>> x.amin(out=y)
  >>> print(y)
  ivy.array(0.1)
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code: def amin(
      self: ivy.Array,
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      keepdims: bool = False,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """ivy.Array instance method variant of ivy.amin. This method simply
      wraps the function, and so the docstring for ivy.amin also applies to
      this method with minimal changes.
  
      Parameters
      ----------
      self
          input array. Should have a real-valued data type.
      axis
          axis or axes along which minimum values must be computed. By default, the
          minimum value must be computed over the entire array. If a tuple of
          integers, minimum values must be computed over multiple axes.
          Default: ``None``.
      keepdims
          optional boolean, if ``True``, the reduced axes (dimensions) must be
          included in the result as singleton dimensions, and, accordingly, the
          result must be compatible with the input array
          (see `broadcasting<https://data-apis.org/array-api/latest/
          API_specification/broadcasting.html#broadcasting>`_). Otherwise,
          if ``False``, the reduced axes (dimensions)
          must not be included in the result.
          Default: ``False``.
      out
          optional output array, for writing the result to.
  
      Returns
      -------
      ret
          if the minimum value was computed over the entire array, a zero-dimensional
          array containing the minimum value; otherwise, a non-zero-dimensional array
          containing the minimum values. The returned array must have the same
          data type as ``x``.
  
      Examples
      --------
      >>> x = ivy.array([3., 4., 5.])
      >>> y = x.amin()
      >>> print(y)
      ivy.array(3.)
  
      >>> x = ivy.array([[-1, 0, 1], [2, 3, 4]])
      >>> y = x.amin(axis=1)
      >>> print(y)
      ivy.array([-1,  2])
  
      >>> x = ivy.array([0.1, 1.1, 2.1])
      >>> y = ivy.array(0.)
      >>> x.amin(out=y)
      >>> print(y)
      ivy.array(0.1)
      """
      return ivy.amin(self._data, axis=axis, keepdims=keepdims, out=out)
  
imports: import abc
  from typing import Optional, Union, Tuple, List, Sequence
  from numbers import Number
  import ivy
label_desc: Use image node_id 2 for calling the _ArrayWithElementWiseExperimental obj's underlying member method code with example usage: obj.amin() and returns: ivy