feat: Define modifiers as Python functions

[nicolaassolini-qntm]

close #1290

Added new dummy context managers—control, dagger, and power—to the Guppy language standard library. These additions allow importing the names when running a guppy code that uses with control(...), with dagger, and with power(...), avoiding linter errors.

The new imports have been added to all test files.

New tests about using modifiers with comptime are added

Some open issues are left regarding the error generated from an invalid use of modifier keywords. They are collected in #1569

[github-actions]

Bencher Report

Branch	na/1290-define-modifiers-as-python-functions
Testbed	Linux

Click to view all benchmark results

Benchmark	Latency	Benchmark Result microseconds (µs) (Result Δ%)	Upper Boundary microseconds (µs) (Limit %)
tests/benchmarks/test_big_array.py::test_big_array_check	📈 view plot 🚷 view threshold	694,715.37 µs (-0.65%) Baseline: 699,249.96 µs	734,212.46 µs (94.62%)
tests/benchmarks/test_big_array.py::test_big_array_compile	📈 view plot 🚷 view threshold	1,890,808.27 µs (+1.47%) Baseline: 1,863,453.37 µs	1,956,626.04 µs (96.64%)
tests/benchmarks/test_big_array.py::test_big_array_executable	📈 view plot 🚷 view threshold	8,188,086.29 µs (+0.59%) Baseline: 8,139,676.94 µs	8,546,660.79 µs (95.80%)
tests/benchmarks/test_ctrl_flow.py::test_many_ctrl_flow_check	📈 view plot 🚷 view threshold	49,010.76 µs (-1.31%) Baseline: 49,662.35 µs	52,145.47 µs (93.99%)
tests/benchmarks/test_ctrl_flow.py::test_many_ctrl_flow_compile	📈 view plot 🚷 view threshold	105,727.53 µs (-2.11%) Baseline: 108,005.16 µs	113,405.42 µs (93.23%)
tests/benchmarks/test_ctrl_flow.py::test_many_ctrl_flow_executable	📈 view plot 🚷 view threshold	603,310.65 µs (-0.33%) Baseline: 605,338.32 µs	635,605.24 µs (94.92%)
tests/benchmarks/test_prelude.py::test_import_guppy	📈 view plot 🚷 view threshold	51.37 µs (-12.92%) Baseline: 58.99 µs	61.94 µs (82.93%)

🐰 View full continuous benchmarking report in Bencher

[github-actions]

Bencher Report

Branch	na/1290-define-modifiers-as-python-functions
Testbed	Linux

Click to view all benchmark results

Benchmark	hugr_bytes	Benchmark Result bytes x 1e3 (Result Δ%)	Upper Boundary bytes x 1e3 (Limit %)	hugr_nodes	Benchmark Result nodes (Result Δ%)	Upper Boundary nodes (Limit %)
tests/benchmarks/test_big_array.py::test_big_array_compile	📈 view plot 🚷 view threshold	141.81 x 1e3 (0.00%) Baseline: 141.81 x 1e3	143.23 x 1e3 (99.01%)	📈 view plot 🚷 view threshold	6,620.00 (0.00%) Baseline: 6,620.00	6,686.20 (99.01%)
tests/benchmarks/test_ctrl_flow.py::test_many_ctrl_flow_compile	📈 view plot 🚷 view threshold	17.59 x 1e3 (0.00%) Baseline: 17.59 x 1e3	17.76 x 1e3 (99.01%)	📈 view plot 🚷 view threshold	581.00 (0.00%) Baseline: 581.00	586.81 (99.01%)

🐰 View full continuous benchmarking report in Bencher

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 93.53%. Comparing base (824e924) to head (f30493d).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1571   +/-   ##
=======================================
  Coverage   93.53%   93.53%           
=======================================
  Files         130      130           
  Lines       12331    12335    +4     
=======================================
+ Hits        11534    11538    +4     
  Misses        797      797           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.