code: def _input_channels_and_dtype_and_values(draw):
      input_channels = draw(st.integers(min_value=1, max_value=2))
      x_shape = draw(helpers.get_shape()) + (input_channels,)
      dtype, vals = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("float"),
              shape=x_shape,
              min_value=0,
              max_value=1,
              small_abs_safety_factor=4,
              safety_factor_scale="log",
          )
      )
      return input_channels, dtype, vals
  
imports: import numpy
  from hypothesis import assume
  from hypothesis import strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy.data_classes.container import Container
  from ivy.functional.ivy.gradients import _variable
  from ivy.functional.ivy.layers import _deconv_length
  from ivy_tests.test_ivy.helpers import handle_method
  from ivy_tests.test_ivy.helpers.assertions import assert_same_type_and_shape
  from ivy_tests.test_ivy.test_functional.test_experimental.test_nn import test_layers
  from ivy_tests.test_ivy.test_functional.test_experimental.test_nn.test_layers import _valid_dct
label_desc: Use image node_id 3 for calling a global function with example usage: _input_channels_and_dtype_and_values(draw) and returns: input_channels,  dtype,  vals