Fix test failure on differing precision of float in proto string #5911
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Problem: CI Pytest MacOS (3.10) fails because float value is output with a lower precision than in expected textproto. (https://github.com/quantumlib/Cirq/actions/runs/3192951160/jobs/5211002538) Solution: Update expected textproto to a lower precision and replace high-precision values in the tested string.
pavoljuhas
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maffoo
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Oct 6, 2022
| @@ -269,6 +269,7 @@ def test_xeb_to_calibration_layer(): | |||
| layer_str = str(new_layer) | |||
| # Fix precision issues | |||
| layer_str = re.sub(r'0.004999\d+', '0.005', layer_str) | |||
| layer_str = re.sub(r'\b0.78539818\d*', '0.7853982', layer_str) | |||
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Could we fix this by setting theta on the fsim gate to a different value that can be exactly represented by floats, e.g. theta=0.5? We could do something similar on fatol to avoid the need for the previous string substitution hack, setting it to something like 2**-7 == 0.0078125 instead of 0.005.
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Sure, that is nicer than substitution. Done in 6148c40.
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…ntumlib#5911) Problem: CI Pytest MacOS (3.10) fails because float value is output with a lower precision than in the expected textproto, https://github.com/quantumlib/Cirq/actions/runs/3192951160/jobs/5211002538. Solution: Test with parameters that have exact decimal representation, theta = 0.75, fatol = xatol = 2**-7 = 0.0078125.
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Problem: CI Pytest MacOS (3.10) fails because float value is output with
a lower precision than in the expected textproto,
https://github.com/quantumlib/Cirq/actions/runs/3192951160/jobs/5211002538.
Solution: Test with parameters that have exact decimal representation,
theta = 0.75, fatol = xatol = 2**-7 = 0.0078125.