Simplify name uniquification in inliner

[gramalingam]

The current implementation of using the entire call-stack to produce unique names produces very long names, which makes debugging harder. Simplify this for now. (We may need some investigation to produce more meaningful names, which is future work.)

[codecov]

❌ 1 Tests Failed:

Tests completed	Failed	Passed	Skipped
14300	1	14299	1619

View the top 1 failed tests by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0060_test_argmin_negative_axis_keepdims_example

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
C:\hostedtoolcache\windows\Python\3.10.11\x64\lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_argmin_negative_axis_keepdims_example'

The above exception was the direct cause of the following exception:
.nox\test\lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_argmin_negative_axis_keepdims_example' (e=No module named 'tests.onnx_backend_test_code.test_argmin_negative_axis_keepdims_example') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_argmin_negative_axis_keepdims_example.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_argmin_negative_axis_keepdims_example.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_argmin_negative_axis_keepdims_example(data: FLOAT[2,2]) -> (INT64[2,1]):
E       result = opset13.ArgMin(data, axis=-1, keepdims=1)
E       return result

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