code: def test_scalar_dtype_and_validity_decimal(slr, dtype, expect):
      if expect is pa.lib.ArrowInvalid:
          with pytest.raises(expect):
              cudf.Scalar(slr, dtype=dtype)
          return
      else:
          result = cudf.Scalar(slr, dtype=dtype)
          assert result.dtype == dtype
          assert result.is_valid
  
imports: import datetime
  import re
  from decimal import Decimal
  import numpy
  import pandas
  import pyarrow
  import pytest
  import rmm
  import cudf
  from cudf._lib.copying import get_element
  from cudf.testing._utils import ALL_TYPES, DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES
label_desc: Use image node_id 10 for calling a global function with example usage: test_scalar_dtype_and_validity_decimal(slr, dtype, expect) without return types