code: def get_second_solve_matrix(draw):
      # batch_shape, shared, random_size
      # float16 causes a crash when filtering out matrices
      # for which `np.linalg.cond` is large.
      input_dtype_strategy = st.shared(
          st.sampled_from(draw(helpers.get_dtypes("float"))).filter(
              lambda x: "float16" not in x
          ),
          key="shared_dtype",
      )
      input_dtype = draw(input_dtype_strategy)
  
      shared_size = draw(
          st.shared(
              helpers.ints(min_value=2, max_value=4), key="shared_size"
          )
      )
      return input_dtype, draw(
          helpers.array_values(
              dtype=input_dtype,
              shape=(shared_size, 1),
              min_value=2,
              max_value=5,
          )
      )
  
imports: import numpy
  import hypothesis.extra.numpy
  from hypothesis import strategies
  from hypothesis.internal.floats import float_of
  from functools import reduce
  from operator import mul
  import sys
  import string
  import ml_dtypes
  import ivy_tests.test_ivy.helpers.globals
  from ..pipeline_helper import WithBackendContext
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers import get_dtypes
  from .None import general_helpers
  from .None import dtype_helpers, number_helpers
  from ..globals import mod_backend
label_desc: Use image node_id 23 for calling a global function with example usage: get_second_solve_matrix(draw) and returns: input_dtype,  draw