docstr: ivy.Container static 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
  ----------
  x
      input container. 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``.
  key_chains
      The key-chains to apply or not apply the method to.
      Default is ``None``.
  to_apply
      If True, the method will be applied to key_chains,
      otherwise key_chains will be skipped. Default is ``True``.
  prune_unapplied
      Whether to prune key_chains for which the function was
      not applied. Default is ``False``.
  map_sequences
      Whether to also map method to sequences (lists, tuples).
      Default is ``False``.
  out
      optional output, for writing the result to.
      It must have a shape that the inputs broadcast to.
  
  Returns
  -------
  ret
      container, 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
  --------
  With :class:`ivy.Container` input:
  
  >>> x = ivy.Container(a=ivy.array([1, 2, 3]),
  ...                   b=ivy.array([2, 3, 4]))
  >>> y = ivy.Container.static_amin(x)
  >>> print(y)
  {
      a: ivy.array(1),
      b: ivy.array(2)
  }
  
  >>> x = ivy.Container(a=ivy.array([[1, 2, 3], [-1, 0, 2]]),
  ...                   b=ivy.array([[2, 3, 4], [0, 1, 2]]))
  >>> y = ivy.Container.static_amin(x, axis=1)
  >>> print(y)
  {
      a:ivy.array([1, -1]),
      b:ivy.array([2, 0])
  }
code: def static_amin(
      x: ivy.Container,
      /,
      *,
      axis: Optional[Union[int, Sequence[int], ivy.Container]] = None,
      keepdims: Union[bool, ivy.Container] = False,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container static 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
      ----------
      x
          input container. 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``.
      key_chains
          The key-chains to apply or not apply the method to.
          Default is ``None``.
      to_apply
          If True, the method will be applied to key_chains,
          otherwise key_chains will be skipped. Default is ``True``.
      prune_unapplied
          Whether to prune key_chains for which the function was
          not applied. Default is ``False``.
      map_sequences
          Whether to also map method to sequences (lists, tuples).
          Default is ``False``.
      out
          optional output, for writing the result to.
          It must have a shape that the inputs broadcast to.
  
      Returns
      -------
      ret
          container, 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
      --------
      With :class:`ivy.Container` input:
  
      >>> x = ivy.Container(a=ivy.array([1, 2, 3]),
      ...                   b=ivy.array([2, 3, 4]))
      >>> y = ivy.Container.static_amin(x)
      >>> print(y)
      {
          a: ivy.array(1),
          b: ivy.array(2)
      }
  
      >>> x = ivy.Container(a=ivy.array([[1, 2, 3], [-1, 0, 2]]),
      ...                   b=ivy.array([[2, 3, 4], [0, 1, 2]]))
      >>> y = ivy.Container.static_amin(x, axis=1)
      >>> print(y)
      {
          a:ivy.array([1, -1]),
          b:ivy.array([2, 0])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "amin",
          x,
          axis=axis,
          keepdims=keepdims,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Sequence
  from numbers import Number
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 3 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.static_amin() and returns: ContainerBase