Replace usage of legacy numpy random api with modern api

[jenshnielsen]

No description provided.

[Copilot]

Pull request overview

Updates the codebase to use NumPy’s modern Generator-based random API (default_rng) instead of the legacy global np.random.* functions, and removes the corresponding lint ignore.

Changes:

• Replaced legacy np.random.* usage across tests, benchmarks, mock instruments, and docs with np.random.default_rng() + Generator methods.
• Introduced local/per-scope RNG instances in several places to avoid relying on global RNG state.
• Removed NPY002 from Ruff ignore list in pyproject.toml.

Reviewed changes

Copilot reviewed 33 out of 33 changed files in this pull request and generated 7 comments.

Show a summary per file

File	Description
tests/validators/test_arrays.py	Uses default_rng().integers instead of np.random.randint in a validator test.
tests/parameter/test_parameter_with_setpoints.py	Replaces numpy.random.rand import with a module-level Generator.
tests/parameter/test_parameter_scale_offset.py	Updates randn usage to standard_normal.
tests/drivers/test_tektronix_AWG70000A.py	Migrates waveform/mask generation to Generator.
tests/drivers/test_tektronix_AWG5014C.py	Migrates waveform/mask generation to Generator.
tests/drivers/test_Keithley_2450.py	Migrates choice calls to Generator.choice.
tests/drivers/keysight_b1500/b1500_driver_tests/test_sampling_measurement.py	Replaces global seeding + rand with seeded default_rng(1).
tests/dataset_generators.py	Updates outlier dataset generator to default_rng().random.
tests/dataset/test_string_data.py	Migrates choice for string sampling to Generator.choice.
tests/dataset/test_plotting.py	Replaces random data sources for hypothesis examples and dummy instrument getters.
tests/dataset/test_dataset_basic.py	Migrates random array generation to Generator.random.
tests/dataset/test_database_creation_and_upgrading.py	Uses a per-run Generator for nested random loops.
tests/dataset/test__get_data_from_ds.py	Migrates multidimensional rand to Generator.random.
tests/dataset/measurement/test_measurement_context_manager.py	Migrates randn usage to standard_normal; adjusts expected values to avoid global seeding.
tests/dataset/conftest.py	Introduces instance RNGs in dummy spectrum/parameter implementations; replaces global seeding.
src/qcodes/instrument_drivers/mock_instruments/init.py	Adds per-instance RNGs and migrates noise/random generation to Generator.
pyproject.toml	Removes NPY002 from Ruff ignore list.
docs/examples/writing_drivers/A-ParameterWithSetpoints-Example-with-Dual-Setpoints.ipynb	Updates randn to default_rng().standard_normal.
docs/examples/plotting/auto_color_scale.ipynb	Uses a local Generator for repeated random calls.
docs/examples/Parameters/Simple-Example-of-ParameterWithSetpoints.ipynb	Updates rand to default_rng().random.
docs/examples/Parameters/Parameter-With-Setpoints-defined-on-a-different-instrument.ipynb	Updates rand to default_rng().random.
docs/examples/DataSet/Threaded data acquisition.ipynb	Uses Generator.standard_normal for noise in the decay example.
docs/examples/DataSet/Saving_data_in_the_background.ipynb	Updates scalar/vector noise generation to Generator API.
docs/examples/DataSet/Performing-measurements-using-qcodes-parameters-and-dataset.ipynb	Introduces local RNGs and migrates random sampling.
docs/examples/DataSet/Pedestrian example of subscribing to a DataSet.ipynb	Introduces local RNGs and migrates randn usage.
docs/examples/DataSet/Paramtypes explained.ipynb	Updates randn to default_rng().standard_normal.
docs/examples/DataSet/Offline plotting with categorical data.ipynb	Adds local RNGs and migrates random sampling calls.
docs/examples/DataSet/Offline Plotting Tutorial.ipynb	Uses local RNGs for shuffling and noise.
docs/examples/DataSet/Linking to parent datasets.ipynb	Updates noise generation to Generator.standard_normal.
docs/examples/DataSet/Extracting-runs-from-one-DB-file-to-another.ipynb	Updates randn loops to Generator.standard_normal.
docs/examples/DataSet/Dataset_Performance.ipynb	Uses a local RNG in performance example.
docs/examples/DataSet/Benchmarking.ipynb	Uses a local RNG in benchmarking examples.
benchmarking/benchmarks/dataset.py	Uses a local RNG for benchmark value generation.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 70.08%. Comparing base (b60f7cb) to head (fc53730).
⚠️ Report is 7 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #7985   +/-   ##
=======================================
  Coverage   70.08%   70.08%           
=======================================
  Files         333      333           
  Lines       32250    32250           
=======================================
+ Hits        22602    22604    +2     
+ Misses       9648     9646    -2     

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