project_name string | class_name string | class_modifiers string | class_implements int64 | class_extends int64 | function_name string | function_body string | cyclomatic_complexity int64 | NLOC int64 | num_parameter int64 | num_token int64 | num_variable int64 | start_line int64 | end_line int64 | function_index int64 | function_params string | function_variable string | function_return_type string | function_body_line_type string | function_num_functions int64 | function_num_lines int64 | outgoing_function_count int64 | outgoing_function_names string | incoming_function_count int64 | incoming_function_names string | lexical_representation string |
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CAREamics_careamics | public | public | 0 | 0 | test_supervised_configuration_singleton_channel | def test_supervised_configuration_singleton_channel():"""Test that no error is raised if channels are in axes, and the input channel is1."""_create_supervised_config_dict(algorithm="n2n",experiment_name="test",data_type="tiff",axes="CYX",patch_size=[64, 64],batch_size=8,n_channels_in=1,) | 1 | 10 | 0 | 40 | 0 | 269 | 280 | 269 | [] | None | {"Expr": 2} | 1 | 12 | 1 | ["_create_supervised_config_dict"] | 0 | [] | The function (test_supervised_configuration_singleton_channel) defined within the public class called public.The function start at line 269 and ends at 280. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 funct... | |
CAREamics_careamics | public | public | 0 | 0 | test_supervised_configuration_no_channel | def test_supervised_configuration_no_channel():"""Test that no error is raised without channel and number of inputs."""_create_supervised_config_dict(algorithm="n2n",experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,) | 1 | 9 | 0 | 36 | 0 | 283 | 292 | 283 | [] | None | {"Expr": 2} | 1 | 10 | 1 | ["_create_supervised_config_dict"] | 0 | [] | The function (test_supervised_configuration_no_channel) defined within the public class called public.The function start at line 283 and ends at 292. It contains 9 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and... | |
CAREamics_careamics | public | public | 0 | 0 | test_supervised_configuration_error_without_channel_axes | def test_supervised_configuration_error_without_channel_axes():"""Test that an error is raised if channels are not in axes, but the input channelnumber is specified and greater than 1."""with pytest.raises(ValueError):_create_supervised_config_dict(algorithm="n2n",experiment_name="test",data_type="tiff",axes="YX",patch... | 1 | 11 | 0 | 48 | 0 | 295 | 307 | 295 | [] | None | {"Expr": 2, "With": 1} | 2 | 13 | 2 | ["pytest.raises", "_create_supervised_config_dict"] | 0 | [] | The function (test_supervised_configuration_error_without_channel_axes) defined within the public class called public.The function start at line 295 and ends at 307. It contains 11 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares... | |
CAREamics_careamics | public | public | 0 | 0 | test_supervised_configuration_channels | def test_supervised_configuration_channels():"""Test that no error is raised if channels are in axes and the input channelare specified."""_create_supervised_config_dict(algorithm="n2n",experiment_name="test",data_type="tiff",axes="CYX",patch_size=[64, 64],batch_size=8,n_channels_in=4,) | 1 | 10 | 0 | 40 | 0 | 310 | 321 | 310 | [] | None | {"Expr": 2} | 1 | 12 | 1 | ["_create_supervised_config_dict"] | 0 | [] | The function (test_supervised_configuration_channels) defined within the public class called public.The function start at line 310 and ends at 321. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and ... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2n_configuration | def test_n2n_configuration():"""Test that N2N configuration can be created."""config = create_n2n_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,train_dataloader_params={"num_workers": 2},)assert config.algorithm_config.algorithm == "n2n" | 1 | 10 | 0 | 50 | 1 | 324 | 334 | 324 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 11 | 1 | ["create_n2n_configuration"] | 0 | [] | The function (test_n2n_configuration) defined within the public class called public.The function start at line 324 and ends at 334. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 func... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2n_configuration_n_channels | def test_n2n_configuration_n_channels():"""Test the behaviour of the number of channels in and out."""n_channels_in = 4n_channels_out = 5# n_channels_out not specifiedconfig = create_n2n_configuration(experiment_name="test",data_type="tiff",axes="CYX",patch_size=[64, 64],batch_size=8,n_channels_in=n_channels_in,)assert... | 1 | 24 | 0 | 121 | 3 | 337 | 365 | 337 | ['config', 'n_channels_out', 'n_channels_in'] | None | {"Assign": 4, "Expr": 1} | 2 | 29 | 2 | ["create_n2n_configuration", "create_n2n_configuration"] | 0 | [] | The function (test_n2n_configuration_n_channels) defined within the public class called public.The function start at line 337 and ends at 365. It contains 24 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2n_configuration_limit_train_batches | def test_n2n_configuration_limit_train_batches():"""Num_steps parameter is passed to trainer config as limit_train_batches."""num_steps = 15config = create_n2n_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_steps=num_steps,)assert (config.training_config.lightning_t... | 1 | 35 | 0 | 143 | 3 | 368 | 408 | 368 | ['config', 'num_steps', 'num_steps_float'] | None | {"Assign": 5, "Expr": 1} | 3 | 41 | 3 | ["create_n2n_configuration", "create_n2n_configuration", "create_n2n_configuration"] | 0 | [] | The function (test_n2n_configuration_limit_train_batches) defined within the public class called public.The function start at line 368 and ends at 408. It contains 35 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions... | |
CAREamics_careamics | public | public | 0 | 0 | test_care_configuration | def test_care_configuration():"""Test that CARE configuration can be created."""config = create_care_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,train_dataloader_params={"num_workers": 2},)assert config.algorithm_config.algorithm == "care" | 1 | 10 | 0 | 50 | 1 | 411 | 421 | 411 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 11 | 1 | ["create_care_configuration"] | 0 | [] | The function (test_care_configuration) defined within the public class called public.The function start at line 411 and ends at 421. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 fun... | |
CAREamics_careamics | public | public | 0 | 0 | test_care_configuration_n_channels | def test_care_configuration_n_channels():"""Test the behaviour of the number of channels in and out."""n_channels_in = 4n_channels_out = 5# n_channels_out not specifiedconfig = create_care_configuration(experiment_name="test",data_type="tiff",axes="CYX",patch_size=[64, 64],batch_size=8,n_channels_in=n_channels_in,)asse... | 1 | 24 | 0 | 121 | 3 | 424 | 452 | 424 | ['config', 'n_channels_out', 'n_channels_in'] | None | {"Assign": 4, "Expr": 1} | 2 | 29 | 2 | ["create_care_configuration", "create_care_configuration"] | 0 | [] | The function (test_care_configuration_n_channels) defined within the public class called public.The function start at line 424 and ends at 452. It contains 24 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and I... | |
CAREamics_careamics | public | public | 0 | 0 | test_care_configuration_limit_train_batches | def test_care_configuration_limit_train_batches():"""Num_steps parameter is passed to trainer config as limit_train_batches."""num_steps = 10config = create_care_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_steps=num_steps,)assert (config.training_config.lightning... | 1 | 35 | 0 | 143 | 3 | 455 | 495 | 455 | ['config', 'num_steps', 'num_steps_float'] | None | {"Assign": 5, "Expr": 1} | 3 | 41 | 3 | ["create_care_configuration", "create_care_configuration", "create_care_configuration"] | 0 | [] | The function (test_care_configuration_limit_train_batches) defined within the public class called public.The function start at line 455 and ends at 495. It contains 35 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 function... | |
CAREamics_careamics | public | public | 0 | 0 | test_care_configuration_trainer_params | def test_care_configuration_trainer_params():"""Test that trainer_params are correctly passed to CARE trainer config."""num_epochs = 40trainer_params = {"accelerator": "gpu","devices": 1,"precision": "16-mixed","gradient_clip_val": 0.8,"check_val_every_n_epoch": 3,"deterministic": True,}config = create_care_configurati... | 2 | 22 | 0 | 108 | 3 | 498 | 522 | 498 | ['trainer_params', 'num_epochs', 'config'] | None | {"Assign": 3, "Expr": 1, "For": 1} | 2 | 25 | 2 | ["create_care_configuration", "trainer_params.items"] | 0 | [] | The function (test_care_configuration_trainer_params) defined within the public class called public.The function start at line 498 and ends at 522. It contains 22 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, an... | |
CAREamics_careamics | public | public | 0 | 0 | test_care_configuration_trainer_params_override | def test_care_configuration_trainer_params_override():"""Test that explicit parameters override trainer_params in CARE configuration."""num_epochs = 35num_steps = 750trainer_params = {"max_epochs": 200,"limit_train_batches": 3000,"precision": "32-true",}config = create_care_configuration(experiment_name="test",data_typ... | 1 | 24 | 0 | 103 | 4 | 525 | 554 | 525 | ['trainer_params', 'num_steps', 'num_epochs', 'config'] | None | {"Assign": 4, "Expr": 1} | 1 | 30 | 1 | ["create_care_configuration"] | 0 | [] | The function (test_care_configuration_trainer_params_override) defined within the public class called public.The function start at line 525 and ends at 554. It contains 24 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 funct... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration | def test_n2v_configuration():"""Test that N2V configuration can be created."""config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,train_dataloader_params={"num_workers": 2},)assert isinstance(config.algorithm_config, N2VAlgorithm) | 1 | 10 | 0 | 51 | 1 | 557 | 567 | 557 | ['config'] | None | {"Assign": 1, "Expr": 1} | 2 | 11 | 2 | ["create_n2v_configuration", "isinstance"] | 0 | [] | The function (test_n2v_configuration) defined within the public class called public.The function start at line 557 and ends at 567. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fu... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_no_aug | def test_n2v_configuration_no_aug():"""Test the default n2v transforms."""config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,augmentations=[],)assert config.data_config.transforms == [] | 1 | 10 | 0 | 48 | 1 | 570 | 580 | 570 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 11 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_no_aug) defined within the public class called public.The function start at line 570 and ends at 580. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_n2v2_structn2v | def test_n2v_configuration_n2v2_structn2v():"""Test that N2V manipulate is ignored when explicitely passed."""use_n2v2 = Trueroi_size = 15masked_pixel_percentage = 0.5struct_mask_axis = SupportedStructAxis.HORIZONTAL.valuestruct_n2v_span = 15config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes... | 1 | 29 | 0 | 133 | 6 | 583 | 613 | 583 | ['use_n2v2', 'config', 'roi_size', 'masked_pixel_percentage', 'struct_n2v_span', 'struct_mask_axis'] | None | {"Assign": 6, "Expr": 1} | 1 | 31 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_n2v2_structn2v) defined within the public class called public.The function start at line 583 and ends at 613. It contains 29 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and ... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_limit_train_batches | def test_n2v_configuration_limit_train_batches():"""Num_steps parameter is passed to trainer config as limit_train_batches."""num_steps = 20config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_steps=num_steps,)assert (config.training_config.lightning_t... | 1 | 35 | 0 | 143 | 3 | 616 | 656 | 616 | ['config', 'num_steps', 'num_steps_float'] | None | {"Assign": 5, "Expr": 1} | 3 | 41 | 3 | ["create_n2v_configuration", "create_n2v_configuration", "create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_limit_train_batches) defined within the public class called public.The function start at line 616 and ends at 656. It contains 35 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_num_epochs | def test_n2v_configuration_num_epochs():"""Test that num_epochs parameter is correctly passed to trainer config."""num_epochs = 50config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_epochs=num_epochs,)assert config.training_config.lightning_trainer_co... | 1 | 20 | 0 | 94 | 2 | 659 | 682 | 659 | ['config', 'num_epochs'] | None | {"Assign": 3, "Expr": 1} | 2 | 24 | 2 | ["create_n2v_configuration", "create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_num_epochs) defined within the public class called public.The function start at line 659 and ends at 682. It contains 20 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_num_steps | def test_n2v_configuration_num_steps():"""Test that num_steps parameter is correctly passed to trainer config."""num_steps = 1000config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_steps=num_steps,)assert (config.training_config.lightning_trainer_conf... | 1 | 22 | 0 | 92 | 2 | 685 | 710 | 685 | ['config', 'num_steps'] | None | {"Assign": 3, "Expr": 1} | 2 | 26 | 2 | ["create_n2v_configuration", "create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_num_steps) defined within the public class called public.The function start at line 685 and ends at 710. It contains 22 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It ... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_num_epochs_and_num_steps | def test_n2v_configuration_num_epochs_and_num_steps():"""Test that both num_epochs and num_steps can be set simultaneously."""num_epochs = 25num_steps = 500config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_epochs=num_epochs,num_steps=num_steps,)asse... | 1 | 17 | 0 | 72 | 3 | 713 | 731 | 713 | ['config', 'num_steps', 'num_epochs'] | None | {"Assign": 3, "Expr": 1} | 1 | 19 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_num_epochs_and_num_steps) defined within the public class called public.The function start at line 713 and ends at 731. It contains 17 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 funct... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params | def test_n2v_configuration_trainer_params():"""Test that various trainer_params are correctly passed to trainer config."""trainer_params = {"accelerator": "gpu","devices": 2,"precision": 16,"gradient_clip_val": 0.5,"accumulate_grad_batches": 4,"check_val_every_n_epoch": 5,"log_every_n_steps": 10,"enable_checkpointing":... | 2 | 23 | 0 | 106 | 2 | 734 | 759 | 734 | ['trainer_params', 'config'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 26 | 2 | ["create_n2v_configuration", "trainer_params.items"] | 0 | [] | The function (test_n2v_configuration_trainer_params) defined within the public class called public.The function start at line 734 and ends at 759. It contains 23 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, and... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params_with_timing | def test_n2v_configuration_trainer_params_with_timing():"""Test trainer_params with timing-related parameters."""trainer_params = {"min_epochs": 5,"min_steps": 100,"max_time": "00:01:00:00",# 1 hour"val_check_interval": 0.25,}config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size... | 2 | 17 | 0 | 82 | 2 | 762 | 781 | 762 | ['trainer_params', 'config'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 20 | 2 | ["create_n2v_configuration", "trainer_params.items"] | 0 | [] | The function (test_n2v_configuration_trainer_params_with_timing) defined within the public class called public.The function start at line 762 and ends at 781. It contains 17 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 fu... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params_override | def test_n2v_configuration_trainer_params_override():"""Test that explicit parameters override trainer_params."""num_epochs = 30num_steps = 800# trainer_params has conflicting valuestrainer_params = {"max_epochs": 100,"limit_train_batches": 0.5,"accelerator": "cpu",}config = create_n2v_configuration(experiment_name="te... | 1 | 24 | 0 | 105 | 4 | 784 | 815 | 784 | ['trainer_params', 'num_steps', 'num_epochs', 'config'] | None | {"Assign": 4, "Expr": 1} | 1 | 32 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_trainer_params_override) defined within the public class called public.The function start at line 784 and ends at 815. It contains 24 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 functi... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params_profiler | def test_n2v_configuration_trainer_params_profiler():"""Test trainer_params with profiler settings."""trainer_params = {"profiler": "simple","detect_anomaly": True,"benchmark": False,"deterministic": True,}config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size... | 2 | 17 | 0 | 80 | 2 | 818 | 837 | 818 | ['trainer_params', 'config'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 20 | 2 | ["create_n2v_configuration", "trainer_params.items"] | 0 | [] | The function (test_n2v_configuration_trainer_params_profiler) defined within the public class called public.The function start at line 818 and ends at 837. It contains 17 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 funct... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params_distributed | def test_n2v_configuration_trainer_params_distributed():"""Test trainer_params with distributed training settings."""trainer_params = {"strategy": "ddp","num_nodes": 2,"sync_batchnorm": True,"use_distributed_sampler": True,}config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[... | 2 | 17 | 0 | 80 | 2 | 840 | 859 | 840 | ['trainer_params', 'config'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 20 | 2 | ["create_n2v_configuration", "trainer_params.items"] | 0 | [] | The function (test_n2v_configuration_trainer_params_distributed) defined within the public class called public.The function start at line 840 and ends at 859. It contains 17 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 fu... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_all_trainer_combinations | def test_n2v_configuration_all_trainer_combinations():"""Test comprehensive combination of all trainer parameters."""num_epochs = 15num_steps = 300trainer_params = {"accelerator": "auto","devices": "auto","precision": "32-true","gradient_clip_val": 1.0,"gradient_clip_algorithm": "norm","accumulate_grad_batches": 2,"che... | 2 | 41 | 0 | 182 | 4 | 862 | 909 | 862 | ['trainer_params', 'num_steps', 'num_epochs', 'config'] | None | {"Assign": 4, "Expr": 1, "For": 1} | 2 | 48 | 2 | ["create_n2v_configuration", "trainer_params.items"] | 0 | [] | The function (test_n2v_configuration_all_trainer_combinations) defined within the public class called public.The function start at line 862 and ends at 909. It contains 41 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 func... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_empty_trainer_params | def test_n2v_configuration_empty_trainer_params():"""Test that empty trainer_params dict works correctly."""config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_epochs=None,trainer_params={},)# Should have empty dict (no trainer params)assert config.tr... | 1 | 11 | 0 | 52 | 1 | 912 | 925 | 912 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 14 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_empty_trainer_params) defined within the public class called public.The function start at line 912 and ends at 925. It contains 11 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function,... | |
CAREamics_careamics | public | public | 0 | 0 | test_n2v_configuration_trainer_params_none | def test_n2v_configuration_trainer_params_none():"""Test that trainer_params=None works correctly (default behavior)."""config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,num_epochs=None,trainer_params=None,)# Should have empty dict when trainer_params i... | 1 | 11 | 0 | 51 | 1 | 928 | 941 | 928 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 14 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_n2v_configuration_trainer_params_none) defined within the public class called public.The function start at line 928 and ends at 941. It contains 11 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, ... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_save_top_k_default | def test_checkpoint_model_save_top_k_default():"""CheckpointModel's default save_top_k=3 doesn't conflict with trainer params."""from careamics.config.callback_model import CheckpointModel# Test default save_top_k valuecheckpoint_model = CheckpointModel()assert checkpoint_model.save_top_k == 3# Test that default works ... | 1 | 14 | 0 | 75 | 2 | 944 | 963 | 944 | ['config', 'checkpoint_model'] | None | {"Assign": 2, "Expr": 1} | 2 | 20 | 2 | ["CheckpointModel", "create_n2v_configuration"] | 0 | [] | The function (test_checkpoint_model_save_top_k_default) defined within the public class called public.The function start at line 944 and ends at 963. It contains 14 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, ... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_comprehensive_checkpoint_params | def test_checkpoint_model_comprehensive_checkpoint_params():"""Test comprehensive checkpoint parameters with save_top_k=3 default."""checkpoint_params = {"save_top_k": 3,# explicit default"monitor": "val_loss","mode": "min","save_weights_only": False,"save_last": True,"every_n_epochs": 1,"verbose": True,}config = creat... | 1 | 27 | 0 | 123 | 3 | 966 | 996 | 966 | ['config', 'checkpoint_callback', 'checkpoint_params'] | None | {"Assign": 3, "Expr": 1} | 1 | 31 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_checkpoint_model_comprehensive_checkpoint_params) defined within the public class called public.The function start at line 966 and ends at 996. It contains 27 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_save_top_k_with_resource_constraints | def test_checkpoint_model_save_top_k_with_resource_constraints():"""Test checkpoint save_top_k behavior with resource constraint scenarios."""# Test with limited training steps - checkpointing should still workconfig = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_... | 1 | 13 | 0 | 81 | 1 | 999 | 1,014 | 999 | ['config'] | None | {"Assign": 1, "Expr": 1} | 1 | 16 | 1 | ["create_n2v_configuration"] | 0 | [] | The function (test_checkpoint_model_save_top_k_with_resource_constraints) defined within the public class called public.The function start at line 999 and ends at 1014. It contains 13 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It decla... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_save_top_k_edge_cases | def test_checkpoint_model_save_top_k_edge_cases():"""Test edge cases for save_top_k parameter."""import pytestfrom careamics.config.callback_model import CheckpointModel# Test that save_top_k accepts valid range (-1 to 100)checkpoint_model = CheckpointModel(save_top_k=-1)# Save allassert checkpoint_model.save_top_k == ... | 1 | 13 | 0 | 88 | 1 | 1,017 | 1,039 | 1,017 | ['checkpoint_model'] | None | {"Assign": 3, "Expr": 3, "With": 2} | 7 | 23 | 7 | ["CheckpointModel", "CheckpointModel", "CheckpointModel", "pytest.raises", "CheckpointModel", "pytest.raises", "CheckpointModel"] | 0 | [] | The function (test_checkpoint_model_save_top_k_edge_cases) defined within the public class called public.The function start at line 1017 and ends at 1039. It contains 13 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 7.0 functi... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_save_top_k_with_development_modes | def test_checkpoint_model_save_top_k_with_development_modes():"""Test checkpoint save_top_k with various development and debugging modes."""# Test with overfit_batches (overfitting mode)config = create_n2v_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch_size=8,trainer_params={"... | 1 | 34 | 0 | 207 | 1 | 1,042 | 1,081 | 1,042 | ['config'] | None | {"Assign": 3, "Expr": 1} | 3 | 40 | 3 | ["create_n2v_configuration", "create_n2v_configuration", "create_n2v_configuration"] | 0 | [] | The function (test_checkpoint_model_save_top_k_with_development_modes) defined within the public class called public.The function start at line 1042 and ends at 1081. It contains 34 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare... | |
CAREamics_careamics | public | public | 0 | 0 | test_checkpoint_model_save_top_k_cross_algorithm_consistency | def test_checkpoint_model_save_top_k_cross_algorithm_consistency():"""Test that save_top_k behavior is consistent across all three algorithms."""checkpoint_params = {"save_top_k": 5, "monitor": "val_loss"}# Test N2Vn2v_config = create_n2v_configuration(experiment_name="test_n2v",data_type="tiff",axes="YX",patch_size=[6... | 1 | 35 | 0 | 187 | 4 | 1,084 | 1,128 | 1,084 | ['n2n_config', 'n2v_config', 'checkpoint_params', 'care_config'] | None | {"Assign": 4, "Expr": 1} | 3 | 45 | 3 | ["create_n2v_configuration", "create_care_configuration", "create_n2n_configuration"] | 0 | [] | The function (test_checkpoint_model_save_top_k_cross_algorithm_consistency) defined within the public class called public.The function start at line 1084 and ends at 1128. It contains 35 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It de... | |
CAREamics_careamics | public | public | 0 | 0 | test_microsplit_configuration | def test_microsplit_configuration(tmp_path: Path, create_dummy_noise_model):"""Test that MicroSplit configuration can be created."""np.savez(tmp_path / "dummy_noise_model.npz", **create_dummy_noise_model)config = create_microsplit_configuration(experiment_name="test",data_type="tiff",axes="YX",patch_size=[64, 64],batch... | 1 | 18 | 2 | 118 | 1 | 1,131 | 1,150 | 1,131 | tmp_path,create_dummy_noise_model | ['config'] | None | {"Assign": 1, "Expr": 2} | 3 | 20 | 3 | ["np.savez", "create_microsplit_configuration", "isinstance"] | 0 | [] | The function (test_microsplit_configuration) defined within the public class called public.The function start at line 1131 and ends at 1150. It contains 18 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [1131.0] and does not return any value. It declares 3.0 functions, and ... |
CAREamics_careamics | public | public | 0 | 0 | test_config_to_yaml | def test_config_to_yaml(tmp_path: Path, minimum_supervised_configuration: dict):"""Test that we can export a config to yaml and load it back"""# test that we can instantiate a configmyconf = Configuration(**minimum_supervised_configuration)# export to yamlyaml_path = save_configuration(myconf, tmp_path)assert yaml_path... | 1 | 6 | 2 | 43 | 3 | 12 | 24 | 12 | tmp_path,minimum_supervised_configuration | ['yaml_path', 'myconf', 'my_other_conf'] | None | {"Assign": 3, "Expr": 1} | 4 | 13 | 4 | ["Configuration", "save_configuration", "yaml_path.exists", "load_configuration"] | 0 | [] | The function (test_config_to_yaml) defined within the public class called public.The function start at line 12 and ends at 24. It contains 6 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [12.0] and does not return any value. It declares 4.0 functions, and It has 4.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_config_to_yaml_wrong_path | def test_config_to_yaml_wrong_path(tmp_path: Path, minimum_supervised_configuration: dict):"""Test that an error is raised when the path is not a directory and not a .yml"""# test that we can instantiate a configmyconf = Configuration(**minimum_supervised_configuration)# export to yamlyaml_path = tmp_path / "tmp.txt"wi... | 1 | 10 | 2 | 57 | 2 | 27 | 43 | 27 | tmp_path,minimum_supervised_configuration | ['yaml_path', 'myconf'] | None | {"Assign": 2, "Expr": 4, "With": 2} | 6 | 17 | 6 | ["Configuration", "pytest.raises", "save_configuration", "yaml_path.touch", "pytest.raises", "save_configuration"] | 0 | [] | The function (test_config_to_yaml_wrong_path) defined within the public class called public.The function start at line 27 and ends at 43. It contains 10 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [27.0] and does not return any value. It declares 6.0 functions, and It h... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_extensions | def test_wrong_extensions(minimum_inference: dict, ext: str):"""Test that supported model raises ValueError for unsupported extensions."""minimum_inference["data_type"] = ext# instantiate InferenceModel modelwith pytest.raises(ValueError):InferenceConfig(**minimum_inference) | 1 | 4 | 2 | 31 | 0 | 7 | 13 | 7 | minimum_inference,ext | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 7 | 3 | ["pytest.raises", "InferenceConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_extensions) defined within the public class called public.The function start at line 7 and ends at 13. It contains 4 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [7.0] and does not return any value. It declares 3.0 functions, and It has 3.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_mean_std_both_specified_or_none | def test_mean_std_both_specified_or_none(minimum_inference: dict):"""Test error raising when setting mean and std."""# Errors if both are Noneminimum_inference["image_means"] = []minimum_inference["image_stds"] = []with pytest.raises(ValueError):InferenceConfig(**minimum_inference)# Error if only mean is definedminimum... | 1 | 15 | 1 | 112 | 0 | 16 | 38 | 16 | minimum_inference | [] | None | {"Assign": 6, "Expr": 6, "With": 3} | 8 | 23 | 8 | ["pytest.raises", "InferenceConfig", "pytest.raises", "InferenceConfig", "minimum_inference.pop", "pytest.raises", "InferenceConfig", "InferenceConfig"] | 0 | [] | The function (test_mean_std_both_specified_or_none) defined within the public class called public.The function start at line 16 and ends at 38. It contains 15 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 8.0 functions, and I... |
CAREamics_careamics | public | public | 0 | 0 | test_tile_size | def test_tile_size(minimum_inference: dict):"""Test that non-zero even patch size are accepted."""# no tilingprediction_model = InferenceConfig(**minimum_inference)# 2Dminimum_inference["tile_size"] = [16, 8]minimum_inference["tile_overlap"] = [2, 2]minimum_inference["axes"] = "YX"prediction_model = InferenceConfig(**m... | 1 | 14 | 1 | 121 | 1 | 41 | 62 | 41 | minimum_inference | ['prediction_model'] | None | {"Assign": 9, "Expr": 1} | 3 | 22 | 3 | ["InferenceConfig", "InferenceConfig", "InferenceConfig"] | 0 | [] | The function (test_tile_size) defined within the public class called public.The function start at line 41 and ends at 62. It contains 14 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 functions ca... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_tile_size | def test_wrong_tile_size(minimum_inference: dict, tile_size):"""Test that wrong patch sizes are not accepted (zero or odd, dims 1 or > 3)."""minimum_inference["axes"] = "ZYX" if len(tile_size) == 3 else "YX"minimum_inference["tile_size"] = tile_sizewith pytest.raises(ValueError):InferenceConfig(**minimum_inference) | 2 | 5 | 2 | 44 | 0 | 68 | 74 | 68 | minimum_inference,tile_size | [] | None | {"Assign": 2, "Expr": 2, "With": 1} | 4 | 7 | 4 | ["len", "pytest.raises", "InferenceConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_tile_size) defined within the public class called public.The function start at line 68 and ends at 74. It contains 5 lines of code and it has a cyclomatic complexity of 2. It takes 2 parameters, represented as [68.0] and does not return any value. It declares 4.0 functions, and It has 4.0 func... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_tile_overlap | def test_wrong_tile_overlap(minimum_inference: dict, tile_size, tile_overlap):"""Test that wrong patch sizes are not accepted (zero or odd, dims 1 or > 3)."""minimum_inference["axes"] = "ZYX" if len(tile_size) == 3 else "YX"minimum_inference["tile_size"] = tile_sizeminimum_inference["tile_overlap"] = tile_overlapwith p... | 2 | 6 | 3 | 52 | 0 | 80 | 87 | 80 | minimum_inference,tile_size,tile_overlap | [] | None | {"Assign": 3, "Expr": 2, "With": 1} | 4 | 8 | 4 | ["len", "pytest.raises", "InferenceConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_tile_overlap) defined within the public class called public.The function start at line 80 and ends at 87. It contains 6 lines of code and it has a cyclomatic complexity of 2. It takes 3 parameters, represented as [80.0] and does not return any value. It declares 4.0 functions, and It has 4.0 f... |
CAREamics_careamics | public | public | 0 | 0 | test_set_3d | def test_set_3d(minimum_inference: dict):"""Test that 3D can be set."""minimum_inference["tile_size"] = [64, 64]minimum_inference["tile_overlap"] = [32, 32]pred = InferenceConfig(**minimum_inference)assert "Z" not in pred.axesassert len(pred.tile_size) == 2assert len(pred.tile_overlap) == 2# error if changing Z manuall... | 1 | 19 | 1 | 171 | 1 | 90 | 117 | 90 | minimum_inference | ['pred'] | None | {"Assign": 8, "Expr": 2, "With": 3} | 11 | 28 | 11 | ["InferenceConfig", "len", "len", "pytest.raises", "InferenceConfig", "pytest.raises", "pytest.raises", "InferenceConfig", "pred.set_3D", "len", "len"] | 0 | [] | The function (test_set_3d) defined within the public class called public.The function start at line 90 and ends at 117. It contains 19 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 11.0 functions, and It has 11.0 functions ca... |
CAREamics_careamics | public | public | 0 | 0 | test_correct_transform_parameters | def test_correct_transform_parameters(minimum_algorithm_n2v: dict):"""Test that the transforms have the correct parameters.This is important to know that the transforms are not all instantiated asa generic transform."""model = N2VAlgorithm(**minimum_algorithm_n2v)# N2VManipulateparams = model.n2v_config.model_dump()ass... | 1 | 8 | 1 | 44 | 2 | 14 | 28 | 14 | minimum_algorithm_n2v | ['params', 'model'] | None | {"Assign": 2, "Expr": 1} | 2 | 15 | 2 | ["N2VAlgorithm", "model.n2v_config.model_dump"] | 0 | [] | The function (test_correct_transform_parameters) defined within the public class called public.The function start at line 14 and ends at 28. It contains 8 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It ha... |
CAREamics_careamics | public | public | 0 | 0 | test_passing_incorrect_element | def test_passing_incorrect_element(minimum_algorithm_n2v: dict):"""Test that incorrect element in the list of transforms raises an error (e.g. passing un object rather than a string)."""minimum_algorithm_n2v["n2v_config"] = {"name": get_all_transforms()[SupportedTransform.XY_FLIP.value]()}with pytest.raises(ValueError)... | 1 | 6 | 1 | 42 | 0 | 31 | 38 | 31 | minimum_algorithm_n2v | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 8 | 3 | ["get_all_transforms", "pytest.raises", "N2VAlgorithm"] | 0 | [] | The function (test_passing_incorrect_element) defined within the public class called public.The function start at line 31 and ends at 38. It contains 6 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3... |
CAREamics_careamics | public | public | 0 | 0 | test_set_struct_mask | def test_set_struct_mask(minimum_algorithm_n2v: dict):"""Test that the struct mask can be set."""none = SupportedStructAxis.NONE.valuevertical = SupportedStructAxis.VERTICAL.valuehorizontal = SupportedStructAxis.HORIZONTAL.valuemodel = N2VAlgorithm(**minimum_algorithm_n2v)assert model.n2v_config.name == SupportedTransf... | 1 | 20 | 1 | 154 | 4 | 41 | 65 | 41 | minimum_algorithm_n2v | ['horizontal', 'none', 'vertical', 'model'] | None | {"Assign": 10, "Expr": 1} | 1 | 25 | 1 | ["N2VAlgorithm"] | 0 | [] | The function (test_set_struct_mask) defined within the public class called public.The function start at line 41 and ends at 65. It contains 20 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function... |
CAREamics_careamics | public | public | 0 | 0 | test_set_struct_mask_wrong_value | def test_set_struct_mask_wrong_value(minimum_algorithm_n2v: dict):"""Test that passing a wrong struct mask axis raises an error."""model = N2VAlgorithm(**minimum_algorithm_n2v)with pytest.raises(ValueError):model.n2v_config.struct_mask_axis = "wrong_value"with pytest.raises(ValueError):model.n2v_config.struct_mask_span... | 1 | 6 | 1 | 45 | 1 | 68 | 75 | 68 | minimum_algorithm_n2v | ['model'] | None | {"Assign": 3, "Expr": 1, "With": 2} | 3 | 8 | 3 | ["N2VAlgorithm", "pytest.raises", "pytest.raises"] | 0 | [] | The function (test_set_struct_mask_wrong_value) defined within the public class called public.The function start at line 68 and ends at 75. It contains 6 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has... |
CAREamics_careamics | public | public | 0 | 0 | test_optimizer_parameters | def test_optimizer_parameters(optimizer_name: SupportedOptimizer, parameters: dict):"""Test optimizer parameters filtering.For parameters, see:https://pytorch.org/docs/stable/optim.html#algorithms"""# add non valid parameternew_parameters = parameters.copy()new_parameters["some_random_one"] = 42# create optimizer and c... | 1 | 5 | 2 | 43 | 2 | 35 | 47 | 35 | optimizer_name,parameters | ['optimizer', 'new_parameters'] | None | {"Assign": 3, "Expr": 1} | 3 | 13 | 3 | ["parameters.copy", "OptimizerModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_optimizer_parameters) defined within the public class called public.The function start at line 35 and ends at 47. It contains 5 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [35.0] and does not return any value. It declares 3.0 functions, and It has 3.0... |
CAREamics_careamics | public | public | 0 | 0 | test_sgd_missing_parameter | def test_sgd_missing_parameter():"""Test that SGD optimizer fails if `lr` is not provided.Note: The SGD optimizer requires the `lr` parameter."""with pytest.raises(ValueError):OptimizerModel(name=SupportedOptimizer.SGD.value, parameters={})# test that it works if lr is providedoptimizer = OptimizerModel(name=SupportedO... | 1 | 7 | 0 | 62 | 1 | 50 | 62 | 50 | ['optimizer'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 13 | 3 | ["pytest.raises", "OptimizerModel", "OptimizerModel"] | 0 | [] | The function (test_sgd_missing_parameter) defined within the public class called public.The function start at line 50 and ends at 62. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 f... | |
CAREamics_careamics | public | public | 0 | 0 | test_optimizer_wrong_values_by_assignments | def test_optimizer_wrong_values_by_assignments():"""Test that wrong values cause an error during assignment."""optimizer = OptimizerModel(name=SupportedOptimizer.ADAM.value, parameters={"lr": 0.08})# nameoptimizer.name = SupportedOptimizer.SGD.valuewith pytest.raises(ValueError):optimizer.name = "MyOptim"# parametersop... | 1 | 10 | 0 | 73 | 1 | 65 | 79 | 65 | ['optimizer'] | None | {"Assign": 5, "Expr": 1, "With": 2} | 3 | 15 | 3 | ["OptimizerModel", "pytest.raises", "pytest.raises"] | 0 | [] | The function (test_optimizer_wrong_values_by_assignments) defined within the public class called public.The function start at line 65 and ends at 79. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, ... | |
CAREamics_careamics | public | public | 0 | 0 | test_optimizer_to_dict_optional | def test_optimizer_to_dict_optional():""" "Test that export to dict includes optional values."""config = {"name": "Adam","parameters": {"lr": 0.1,"betas": (0.1, 0.11),},}optim_minimum = OptimizerModel(**config).model_dump()assert optim_minimum == config | 1 | 10 | 0 | 51 | 2 | 82 | 93 | 82 | ['optim_minimum', 'config'] | None | {"Assign": 2, "Expr": 1} | 2 | 12 | 2 | ["model_dump", "OptimizerModel"] | 0 | [] | The function (test_optimizer_to_dict_optional) defined within the public class called public.The function start at line 82 and ends at 93. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has... | |
CAREamics_careamics | public | public | 0 | 0 | test_scheduler_parameters | def test_scheduler_parameters(lr_scheduler_name: SupportedScheduler, parameters: dict):"""Test lr scheduler parameters filtering.For parameters, see:https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate"""# add non valid parameternew_parameters = parameters.copy()new_parameters["some_random_one"] = 42#... | 1 | 5 | 2 | 43 | 2 | 122 | 134 | 122 | lr_scheduler_name,parameters | ['lr_scheduler', 'new_parameters'] | None | {"Assign": 3, "Expr": 1} | 3 | 13 | 3 | ["parameters.copy", "LrSchedulerModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_scheduler_parameters) defined within the public class called public.The function start at line 122 and ends at 134. It contains 5 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [122.0] and does not return any value. It declares 3.0 functions, and It has ... |
CAREamics_careamics | public | public | 0 | 0 | test_scheduler_missing_parameter | def test_scheduler_missing_parameter():"""Test that StepLR scheduler fails if `step_size` is not provided"""with pytest.raises(ValueError):LrSchedulerModel(name=SupportedScheduler.STEP_LR.value, parameters={})# test that it works if lr is providedlr_scheduler = LrSchedulerModel(name=SupportedScheduler.STEP_LR.value, pa... | 1 | 7 | 0 | 58 | 1 | 137 | 146 | 137 | ['lr_scheduler'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 10 | 3 | ["pytest.raises", "LrSchedulerModel", "LrSchedulerModel"] | 0 | [] | The function (test_scheduler_missing_parameter) defined within the public class called public.The function start at line 137 and ends at 146. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It h... | |
CAREamics_careamics | public | public | 0 | 0 | test_defaults | def test_defaults():"""Test instantiating time information with defaults."""tile_info = TileInformation(array_shape=np.zeros((1, 6, 6)).shape,overlap_crop_coords=((1, 2),),stitch_coords=((3, 4),),sample_id=0,)assert tile_info.array_shape == (1, 6, 6)assert not tile_info.last_tile | 1 | 9 | 0 | 70 | 1 | 7 | 17 | 7 | ['tile_info'] | None | {"Assign": 1, "Expr": 1} | 2 | 11 | 2 | ["TileInformation", "np.zeros"] | 0 | [] | The function (test_defaults) defined within the public class called public.The function start at line 7 and ends at 17. It contains 9 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functions calle... | |
CAREamics_careamics | public | public | 0 | 0 | test_error_on_coords | def test_error_on_coords():"""Test than an error is raised if no coordinates are given."""with pytest.raises(ValueError):TileInformation(array_shape=(1, 6, 6)) | 1 | 3 | 0 | 25 | 0 | 20 | 23 | 20 | [] | None | {"Expr": 2, "With": 1} | 2 | 4 | 2 | ["pytest.raises", "TileInformation"] | 0 | [] | The function (test_error_on_coords) defined within the public class called public.The function start at line 20 and ends at 23. It contains 3 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functio... | |
CAREamics_careamics | public | public | 0 | 0 | test_error_n_dims | def test_error_n_dims(array_shape):"""Test that an error is raised if the array shape does not have 3 or 4 dimensions."""with pytest.raises(ValueError):TileInformation(array_shape=array_shape,overlap_crop_coords=((1, 2),),stitch_coords=((3, 4),),sample_id=0,) | 1 | 8 | 1 | 47 | 0 | 27 | 37 | 27 | array_shape | [] | None | {"Expr": 2, "With": 1} | 3 | 11 | 3 | ["pytest.raises", "TileInformation", "pytest.mark.parametrize"] | 0 | [] | The function (test_error_n_dims) defined within the public class called public.The function start at line 27 and ends at 37. It contains 8 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 functions ... |
CAREamics_careamics | public | public | 0 | 0 | test_tile_equality | def test_tile_equality():"""Test whether two tile information objects are equal."""t1 = TileInformation(array_shape=(1, 6, 6),last_tile=True,overlap_crop_coords=((1, 2),),stitch_coords=((3, 4),),sample_id=0,)t2 = TileInformation(array_shape=(1, 6, 6),last_tile=True,overlap_crop_coords=((1, 2),),stitch_coords=((3, 4),),... | 1 | 27 | 0 | 179 | 2 | 40 | 72 | 40 | ['t1', 't2'] | None | {"Assign": 9, "Expr": 1} | 2 | 33 | 2 | ["TileInformation", "TileInformation"] | 0 | [] | The function (test_tile_equality) defined within the public class called public.The function start at line 40 and ends at 72. It contains 27 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 function... | |
CAREamics_careamics | public | public | 0 | 0 | test_all_algorithms_are_supported | def test_all_algorithms_are_supported():"""Test that all algorithms defined in the Literal are supported."""# list of supported algorithmsalgorithms = list(SupportedAlgorithm)# Algorithm json schema to extract the literal valueschema = UNetBasedAlgorithm.model_json_schema()# check that all algorithms are supportedfor a... | 2 | 5 | 0 | 36 | 2 | 8 | 18 | 8 | ['schema', 'algorithms'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 11 | 2 | ["list", "UNetBasedAlgorithm.model_json_schema"] | 0 | [] | The function (test_all_algorithms_are_supported) defined within the public class called public.The function start at line 8 and ends at 18. It contains 5 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has... | |
CAREamics_careamics | public | public | 0 | 0 | test_all_losses_are_supported | def test_all_losses_are_supported():"""Test that all losses defined in the Literal are supported."""# list of supported losseslosses = list(SupportedLoss)# Algorithm json schemaschema = UNetBasedAlgorithm.model_json_schema()# check that all losses are supportedfor loss in schema["properties"]["loss"]["enum"]:assert los... | 2 | 5 | 0 | 36 | 2 | 22 | 32 | 22 | ['losses', 'schema'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 11 | 2 | ["list", "UNetBasedAlgorithm.model_json_schema"] | 0 | [] | The function (test_all_losses_are_supported) defined within the public class called public.The function start at line 22 and ends at 32. It contains 5 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.... | |
CAREamics_careamics | public | public | 0 | 0 | test_all_losses_are_supported | def test_all_losses_are_supported():"""Test that all losses defined in the Literal are supported."""# list of supported losseslosses = list(SupportedLoss)# Algorithm json schemaschema = VAEBasedAlgorithm.model_json_schema()# check that all losses are supportedfor loss in schema["properties"]["loss"]["enum"]:assert loss... | 2 | 5 | 0 | 36 | 2 | 23 | 33 | 23 | ['losses', 'schema'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 3 | 11 | 3 | ["list", "VAEBasedAlgorithm.model_json_schema", "pytest.mark.skip"] | 0 | [] | The function (test_all_losses_are_supported) defined within the public class called public.The function start at line 23 and ends at 33. It contains 5 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.... | |
CAREamics_careamics | public | public | 0 | 0 | test_noise_model_usplit | def test_noise_model_usplit(minimum_algorithm_musplit):"""Test that the noise model is correctly provided."""config = VAEBasedAlgorithm(**minimum_algorithm_musplit)assert config.noise_model is None | 1 | 3 | 1 | 19 | 1 | 37 | 40 | 37 | minimum_algorithm_musplit | ['config'] | None | {"Assign": 1, "Expr": 1} | 2 | 4 | 2 | ["VAEBasedAlgorithm", "pytest.mark.skip"] | 0 | [] | The function (test_noise_model_usplit) defined within the public class called public.The function start at line 37 and ends at 40. It contains 3 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 func... |
CAREamics_careamics | public | public | 0 | 0 | test_noise_model_denoisplit | def test_noise_model_denoisplit(tmp_path: Path, create_dummy_noise_model):"""Test that the noise model is correctly provided."""# TODO this construct with the minimum_config dicts is increasingly annoying# Create a dummy noise modelnp.savez(tmp_path / "dummy_noise_model.npz", **create_dummy_noise_model)# Instantiate th... | 1 | 13 | 2 | 76 | 2 | 44 | 63 | 44 | tmp_path,create_dummy_noise_model | ['gmm', 'config'] | None | {"Assign": 2, "Expr": 2} | 6 | 20 | 6 | ["np.savez", "GaussianMixtureNMConfig", "VAEBasedAlgorithm", "LVAEModel", "MultiChannelNMConfig", "pytest.mark.skip"] | 0 | [] | The function (test_noise_model_denoisplit) defined within the public class called public.The function start at line 44 and ends at 63. It contains 13 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [44.0] and does not return any value. It declares 6.0 functions, and It has ... |
CAREamics_careamics | public | public | 0 | 0 | test_no_noise_model_error_denoisplit | def test_no_noise_model_error_denoisplit(minimum_algorithm_denoisplit):"""Test that the noise model is correctly provided."""minimum_algorithm_denoisplit["noise_model"] = Nonewith pytest.raises(ValueError):VAEBasedAlgorithm(**minimum_algorithm_denoisplit) | 1 | 4 | 1 | 25 | 0 | 66 | 70 | 66 | minimum_algorithm_denoisplit | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 5 | 2 | ["pytest.raises", "VAEBasedAlgorithm"] | 0 | [] | The function (test_no_noise_model_error_denoisplit) defined within the public class called public.The function start at line 66 and ends at 70. It contains 4 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It... |
CAREamics_careamics | public | public | 0 | 0 | test_microsplit_algorithm | def test_microsplit_algorithm(minimum_algorithm_microsplit):"""Test that the MicroSplit algorithm can be instantiated correctly."""loss = LVAELossConfig(loss_type="denoisplit_musplit", denoisplit_weight=0.9, musplit_weight=0.1)# TODO losses need to be refactored! This is just for exampleminimum_algorithm_microsplit["lo... | 1 | 9 | 1 | 60 | 2 | 73 | 82 | 73 | minimum_algorithm_microsplit | ['config', 'loss'] | None | {"Assign": 3, "Expr": 1} | 2 | 10 | 2 | ["LVAELossConfig", "VAEBasedAlgorithm"] | 0 | [] | The function (test_microsplit_algorithm) defined within the public class called public.The function start at line 73 and ends at 82. It contains 9 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fu... |
CAREamics_careamics | public | public | 0 | 0 | test_instantiation | def test_instantiation():"""Test the instantiation of the CAREAlgorithm class."""model = {"architecture": "UNet",}CAREAlgorithm(model=model) | 1 | 5 | 0 | 19 | 1 | 6 | 11 | 6 | ['model'] | None | {"Assign": 1, "Expr": 2} | 1 | 6 | 1 | ["CAREAlgorithm"] | 0 | [] | The function (test_instantiation) defined within the public class called public.The function start at line 6 and ends at 11. It contains 5 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function cal... | |
CAREamics_careamics | public | public | 0 | 0 | test_no_n2v2 | def test_no_n2v2():"""Check that an error is raised if the model is set for n2v2."""model = {"architecture": "UNet","n2v2": True,}with pytest.raises(ValueError):CAREAlgorithm(model=model) | 1 | 7 | 0 | 31 | 1 | 14 | 22 | 14 | ['model'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 9 | 2 | ["pytest.raises", "CAREAlgorithm"] | 0 | [] | The function (test_no_n2v2) defined within the public class called public.The function start at line 14 and ends at 22. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functions calle... | |
CAREamics_careamics | public | public | 0 | 0 | test_no_final_activation | def test_no_final_activation(minimum_algorithm_supervised: dict):"""Check that an error is raised if the model has a final activation."""minimum_algorithm_supervised["model"] = {"architecture": "UNet","final_activation": "ReLU",}with pytest.raises(ValueError):CAREAlgorithm(**minimum_algorithm_supervised) | 1 | 7 | 1 | 36 | 0 | 25 | 32 | 25 | minimum_algorithm_supervised | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 8 | 2 | ["pytest.raises", "CAREAlgorithm"] | 0 | [] | The function (test_no_final_activation) defined within the public class called public.The function start at line 25 and ends at 32. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fun... |
CAREamics_careamics | public | public | 0 | 0 | test_instantiation | def test_instantiation():"""Test the instantiation of the N2NAlgorithm class."""model = {"architecture": "UNet",}N2NAlgorithm(model=model) | 1 | 5 | 0 | 19 | 1 | 6 | 11 | 6 | ['model'] | None | {"Assign": 1, "Expr": 2} | 1 | 6 | 1 | ["N2NAlgorithm"] | 0 | [] | The function (test_instantiation) defined within the public class called public.The function start at line 6 and ends at 11. It contains 5 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function cal... | |
CAREamics_careamics | public | public | 0 | 0 | test_no_n2v2 | def test_no_n2v2():"""Check that an error is raised if the model is set for n2v2."""model = {"architecture": "UNet","n2v2": True,}with pytest.raises(ValueError):N2NAlgorithm(model=model) | 1 | 7 | 0 | 31 | 1 | 14 | 22 | 14 | ['model'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 9 | 2 | ["pytest.raises", "N2NAlgorithm"] | 0 | [] | The function (test_no_n2v2) defined within the public class called public.The function start at line 14 and ends at 22. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functions calle... | |
CAREamics_careamics | public | public | 0 | 0 | test_no_final_activation | def test_no_final_activation(minimum_algorithm_supervised: dict):"""Check that an error is raised if the model has a final activation."""minimum_algorithm_supervised["model"] = {"architecture": "UNet","final_activation": "ReLU",}with pytest.raises(ValueError):N2NAlgorithm(**minimum_algorithm_supervised) | 1 | 7 | 1 | 36 | 0 | 25 | 32 | 25 | minimum_algorithm_supervised | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 8 | 2 | ["pytest.raises", "N2NAlgorithm"] | 0 | [] | The function (test_no_final_activation) defined within the public class called public.The function start at line 25 and ends at 32. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fun... |
CAREamics_careamics | public | public | 0 | 0 | test_n_channels_n2v | def test_n_channels_n2v():"""Check that an error is raised if n2v has different number of channels ininput and output."""model = {"architecture": "UNet","in_channels": 1,"num_classes": 2,"n2v2": False,}loss = "n2v"with pytest.raises(ValueError):N2VAlgorithm(algorithm="n2v", loss=loss, model=model) | 1 | 10 | 0 | 50 | 2 | 7 | 19 | 7 | ['loss', 'model'] | None | {"Assign": 2, "Expr": 2, "With": 1} | 2 | 13 | 2 | ["pytest.raises", "N2VAlgorithm"] | 0 | [] | The function (test_n_channels_n2v) defined within the public class called public.The function start at line 7 and ends at 19. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 function... | |
CAREamics_careamics | public | public | 0 | 0 | test_channels | def test_channels(minimum_algorithm_n2v: dict):"""Check that error is thrown if the number of channels are different."""minimum_algorithm_n2v["model"] = {"architecture": "UNet","in_channels": 2,"num_classes": 2,"n2v2": False,}N2VAlgorithm(**minimum_algorithm_n2v)minimum_algorithm_n2v["model"]["num_classes"] = 3with pyt... | 1 | 11 | 1 | 58 | 0 | 22 | 34 | 22 | minimum_algorithm_n2v | [] | None | {"Assign": 2, "Expr": 3, "With": 1} | 3 | 13 | 3 | ["N2VAlgorithm", "pytest.raises", "N2VAlgorithm"] | 0 | [] | The function (test_channels) defined within the public class called public.The function start at line 22 and ends at 34. It contains 11 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 functions cal... |
CAREamics_careamics | public | public | 0 | 0 | test_no_final_activation | def test_no_final_activation(minimum_algorithm_n2v: dict):"""Check that an error is raised if the model has a final activation."""minimum_algorithm_n2v["model"] = {"architecture": "UNet","final_activation": "ReLU",}with pytest.raises(ValueError):N2VAlgorithm(**minimum_algorithm_n2v) | 1 | 7 | 1 | 36 | 0 | 37 | 44 | 37 | minimum_algorithm_n2v | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 8 | 2 | ["pytest.raises", "N2VAlgorithm"] | 0 | [] | The function (test_no_final_activation) defined within the public class called public.The function start at line 37 and ends at 44. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fun... |
CAREamics_careamics | public | public | 0 | 0 | test_set_n2v_strategy | def test_set_n2v_strategy(minimum_algorithm_n2v: dict):"""Test that the N2V2 can be set."""uniform = SupportedPixelManipulation.UNIFORM.valuemedian = SupportedPixelManipulation.MEDIAN.value# Test defaultcfg = N2VAlgorithm(**minimum_algorithm_n2v)assert cfg.n2v_config.strategy == uniform# Test setting to n2v2cfg.set_n2v... | 1 | 11 | 1 | 81 | 3 | 47 | 64 | 47 | minimum_algorithm_n2v | ['cfg', 'uniform', 'median'] | None | {"Assign": 3, "Expr": 3} | 3 | 18 | 3 | ["N2VAlgorithm", "cfg.set_n2v2", "cfg.set_n2v2"] | 0 | [] | The function (test_set_n2v_strategy) defined within the public class called public.The function start at line 47 and ends at 64. It contains 11 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_model_dump | def test_model_dump():"""Test that architecture keyword is removed from the model dump."""model_params = {"architecture": "LeCorbusier"}model = ArchitectureModel(**model_params)# dump modelmodel_dict = model.model_dump()assert model_dict == {} | 1 | 5 | 0 | 31 | 3 | 4 | 11 | 4 | ['model_dict', 'model_params', 'model'] | None | {"Assign": 3, "Expr": 1} | 2 | 8 | 2 | ["ArchitectureModel", "model.model_dump"] | 0 | [] | The function (test_model_dump) defined within the public class called public.The function start at line 4 and ends at 11. It contains 5 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functions cal... | |
CAREamics_careamics | public | public | 0 | 0 | test_instantiation | def test_instantiation():"""Test that LVAEModel can be instantiated."""model_params = {"architecture": "LVAE",}# instantiate modelLVAEModel(**model_params) | 1 | 5 | 0 | 18 | 1 | 9 | 16 | 9 | ['model_params'] | None | {"Assign": 1, "Expr": 2} | 1 | 8 | 1 | ["LVAEModel"] | 0 | [] | The function (test_instantiation) defined within the public class called public.The function start at line 9 and ends at 16. It contains 5 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function cal... | |
CAREamics_careamics | public | public | 0 | 0 | test_architecture_missing | def test_architecture_missing():"""Test that LVAEModel requires architecture."""model_params = {"input_shape": 64,}with pytest.raises(ValueError):LVAEModel(**model_params) | 1 | 6 | 0 | 26 | 1 | 19 | 26 | 19 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 8 | 2 | ["pytest.raises", "LVAEModel"] | 0 | [] | The function (test_architecture_missing) defined within the public class called public.The function start at line 19 and ends at 26. It contains 6 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fu... | |
CAREamics_careamics | public | public | 0 | 0 | test_encoder_n_filters | def test_encoder_n_filters(encoder_n_filters: int):"""Test that LVAEModel accepts num_channels_init as an even number andminimum 8."""model_params = {"architecture": "LVAE", "encoder_n_filters": encoder_n_filters}# instantiate modelLVAEModel(**model_params) | 1 | 3 | 1 | 24 | 1 | 30 | 36 | 30 | encoder_n_filters | ['model_params'] | None | {"Assign": 1, "Expr": 2} | 2 | 7 | 2 | ["LVAEModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_encoder_n_filters) defined within the public class called public.The function start at line 30 and ends at 36. It contains 3 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_decoder_n_filters | def test_decoder_n_filters(decoder_n_filters: int):"""Test that LVAEModel accepts num_channels_init as an even number andminimum 8."""model_params = {"architecture": "LVAE", "decoder_n_filters": decoder_n_filters}# instantiate modelLVAEModel(**model_params) | 1 | 3 | 1 | 24 | 1 | 40 | 46 | 40 | decoder_n_filters | ['model_params'] | None | {"Assign": 1, "Expr": 2} | 2 | 7 | 2 | ["LVAEModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_decoder_n_filters) defined within the public class called public.The function start at line 40 and ends at 46. It contains 3 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_num_filters | def test_wrong_num_filters(n_filters: int):"""Test that wrong num_channels_init causes an error."""model_params = {"architecture": "LVAE", "encoder_n_filters": n_filters}with pytest.raises(ValueError):LVAEModel(**model_params)model_params = {"architecture": "LVAE", "decoder_n_filters": n_filters}with pytest.raises(Valu... | 1 | 7 | 1 | 56 | 1 | 50 | 58 | 50 | n_filters | ['model_params'] | None | {"Assign": 2, "Expr": 3, "With": 2} | 5 | 9 | 5 | ["pytest.raises", "LVAEModel", "pytest.raises", "LVAEModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_num_filters) defined within the public class called public.The function start at line 50 and ends at 58. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 5.0 functions, and It has 5.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_activations | def test_activations():"""Test that LVAEModel accepts all activations."""for act in SupportedActivation:model_params = {"architecture": "LVAE","nonlinearity": act.value,}# instantiate modelLVAEModel(**model_params) | 2 | 7 | 0 | 29 | 1 | 61 | 70 | 61 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "For": 1} | 1 | 10 | 1 | ["LVAEModel"] | 0 | [] | The function (test_activations) defined within the public class called public.The function start at line 61 and ends at 70. It contains 7 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function call... | |
CAREamics_careamics | public | public | 0 | 0 | test_all_activations_are_supported | def test_all_activations_are_supported():"""Test that all activations defined in the Literal are supported."""# list of supported activationsactivations = list(SupportedActivation)# Algorithm json schemaschema = LVAEModel.model_json_schema()# check that all activations are supportedfor act in schema["properties"]["nonl... | 2 | 5 | 0 | 36 | 2 | 73 | 83 | 73 | ['schema', 'activations'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 11 | 2 | ["list", "LVAEModel.model_json_schema"] | 0 | [] | The function (test_all_activations_are_supported) defined within the public class called public.The function start at line 73 and ends at 83. It contains 5 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It h... | |
CAREamics_careamics | public | public | 0 | 0 | test_activation_wrong_values | def test_activation_wrong_values():"""Test that wrong values are not accepted."""model_params = {"architecture": "LVAE","nonlinearity": "wrong",}with pytest.raises(ValueError):LVAEModel(**model_params) | 1 | 7 | 0 | 30 | 1 | 86 | 94 | 86 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 9 | 2 | ["pytest.raises", "LVAEModel"] | 0 | [] | The function (test_activation_wrong_values) defined within the public class called public.The function start at line 86 and ends at 94. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0... | |
CAREamics_careamics | public | public | 0 | 0 | test_parameters_wrong_values_by_assigment | def test_parameters_wrong_values_by_assigment():"""Test that wrong values are not accepted through assignment."""model_params = {"architecture": "LVAE","z_dims": (128, 128, 128),"multiscale_count": 2,"encoder_n_filters": 32,}model = LVAEModel(**model_params)# z_dimsmodel.z_dims = model_params["z_dims"]with pytest.raise... | 1 | 14 | 0 | 81 | 2 | 97 | 115 | 97 | ['model_params', 'model'] | None | {"Assign": 6, "Expr": 1, "With": 2} | 3 | 19 | 3 | ["LVAEModel", "pytest.raises", "pytest.raises"] | 0 | [] | The function (test_parameters_wrong_values_by_assigment) defined within the public class called public.The function start at line 97 and ends at 115. It contains 14 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, ... | |
CAREamics_careamics | public | public | 0 | 0 | test_instantiation | def test_instantiation():"""Test that UNetModel can be instantiated."""model_params = {"architecture": "UNet","conv_dim": 2,"num_channels_init": 16,}# instantiate modelUNetModel(**model_params) | 1 | 7 | 0 | 26 | 1 | 7 | 16 | 7 | ['model_params'] | None | {"Assign": 1, "Expr": 2} | 1 | 10 | 1 | ["UNetModel"] | 0 | [] | The function (test_instantiation) defined within the public class called public.The function start at line 7 and ends at 16. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function cal... | |
CAREamics_careamics | public | public | 0 | 0 | test_architecture_missing | def test_architecture_missing():"""Test that UNetModel requires architecture."""model_params = {"depth": 2,"num_channels_init": 16,}with pytest.raises(ValueError):UNetModel(**model_params) | 1 | 7 | 0 | 30 | 1 | 19 | 27 | 19 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 9 | 2 | ["pytest.raises", "UNetModel"] | 0 | [] | The function (test_architecture_missing) defined within the public class called public.The function start at line 19 and ends at 27. It contains 7 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 fu... | |
CAREamics_careamics | public | public | 0 | 0 | test_num_channels_init | def test_num_channels_init(num_channels_init: int):"""Test that UNetModel accepts num_channels_init as an even number andminimum 8."""model_params = {"architecture": "UNet", "num_channels_init": num_channels_init}# instantiate modelUNetModel(**model_params) | 1 | 3 | 1 | 24 | 1 | 31 | 37 | 31 | num_channels_init | ['model_params'] | None | {"Assign": 1, "Expr": 2} | 2 | 7 | 2 | ["UNetModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_num_channels_init) defined within the public class called public.The function start at line 31 and ends at 37. It contains 3 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_num_channels_init | def test_wrong_num_channels_init(num_channels_init: int):"""Test that wrong num_channels_init causes an error."""model_params = {"architecture": "UNet", "num_channels_init": num_channels_init}with pytest.raises(ValueError):UNetModel(**model_params) | 1 | 4 | 1 | 32 | 1 | 41 | 46 | 41 | num_channels_init | ['model_params'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 6 | 3 | ["pytest.raises", "UNetModel", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_num_channels_init) defined within the public class called public.The function start at line 41 and ends at 46. It contains 4 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0... |
CAREamics_careamics | public | public | 0 | 0 | test_activations | def test_activations():"""Test that UNetModel accepts all activations."""for act in SupportedActivation:if act != SupportedActivation.ELU:model_params = {"architecture": "UNet","num_channels_init": 16,"final_activation": act.value,}# instantiate modelUNetModel(**model_params) | 3 | 9 | 0 | 40 | 1 | 49 | 60 | 49 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "For": 1, "If": 1} | 1 | 12 | 1 | ["UNetModel"] | 0 | [] | The function (test_activations) defined within the public class called public.The function start at line 49 and ends at 60. It contains 9 lines of code and it has a cyclomatic complexity of 3. The function does not take any parameters and does not return any value. It declare 1.0 function, and It has 1.0 function call... | |
CAREamics_careamics | public | public | 0 | 0 | test_all_activations_are_supported | def test_all_activations_are_supported():"""Test that all activations defined in the Literal are supported."""# list of supported activationsactivations = list(SupportedActivation)# Algorithm json schemaschema = UNetModel.model_json_schema()# check that all activations are supportedfor act in schema["properties"]["fina... | 2 | 5 | 0 | 36 | 2 | 63 | 73 | 63 | ['schema', 'activations'] | None | {"Assign": 2, "Expr": 1, "For": 1} | 2 | 11 | 2 | ["list", "UNetModel.model_json_schema"] | 0 | [] | The function (test_all_activations_are_supported) defined within the public class called public.The function start at line 63 and ends at 73. It contains 5 lines of code and it has a cyclomatic complexity of 2. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It h... | |
CAREamics_careamics | public | public | 0 | 0 | test_activation_wrong_values | def test_activation_wrong_values():"""Test that wrong values are not accepted."""model_params = {"architecture": "UNet","num_channels_init": 16,"final_activation": "wrong",}with pytest.raises(ValueError):UNetModel(**model_params) | 1 | 8 | 0 | 34 | 1 | 76 | 85 | 76 | ['model_params'] | None | {"Assign": 1, "Expr": 2, "With": 1} | 2 | 10 | 2 | ["pytest.raises", "UNetModel"] | 0 | [] | The function (test_activation_wrong_values) defined within the public class called public.The function start at line 76 and ends at 85. It contains 8 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0... | |
CAREamics_careamics | public | public | 0 | 0 | test_parameters_wrong_values_by_assigment | def test_parameters_wrong_values_by_assigment():"""Test that wrong values are not accepted through assignment."""model_params = {"architecture": "UNet", "num_channels_init": 16, "depth": 2}model = UNetModel(**model_params)# depthmodel.depth = model_params["depth"]with pytest.raises(ValueError):model.depth = -1# number ... | 1 | 9 | 0 | 70 | 2 | 88 | 101 | 88 | ['model_params', 'model'] | None | {"Assign": 6, "Expr": 1, "With": 2} | 3 | 14 | 3 | ["UNetModel", "pytest.raises", "pytest.raises"] | 0 | [] | The function (test_parameters_wrong_values_by_assigment) defined within the public class called public.The function start at line 88 and ends at 101. It contains 9 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, a... | |
CAREamics_careamics | public | public | 0 | 0 | test_model_dump | def test_model_dump():"""Test that default values are excluded from model dump."""model_params = {"architecture": "UNet","num_channels_init": 16,# non-default value"final_activation": "ReLU",# non-default value}model = UNetModel(**model_params)# dump modelmodel_dict = model.model_dump(exclude_defaults=True)# check that... | 1 | 12 | 0 | 75 | 3 | 104 | 122 | 104 | ['model_dict', 'model_params', 'model'] | None | {"Assign": 4, "Expr": 1} | 7 | 19 | 7 | ["UNetModel", "model.model_dump", "len", "model.model_dump", "len", "len", "dict"] | 0 | [] | The function (test_model_dump) defined within the public class called public.The function start at line 104 and ends at 122. It contains 12 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 7.0 functions, and It has 7.0 functions... | |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_extensions | def test_wrong_extensions(minimum_data: dict, ext: str):"""Test that supported model raises ValueError for unsupported extensions."""minimum_data["data_type"] = ext# instantiate DataModel modelwith pytest.raises(ValueError):DataConfig(**minimum_data) | 1 | 4 | 2 | 31 | 0 | 14 | 20 | 14 | minimum_data,ext | [] | None | {"Assign": 1, "Expr": 2, "With": 1} | 3 | 7 | 3 | ["pytest.raises", "DataConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_extensions) defined within the public class called public.The function start at line 14 and ends at 20. It contains 4 lines of code and it has a cyclomatic complexity of 1. It takes 2 parameters, represented as [14.0] and does not return any value. It declares 3.0 functions, and It has 3.0 fun... |
CAREamics_careamics | public | public | 0 | 0 | test_mean_std_non_negative | def test_mean_std_non_negative(minimum_data: dict, mean, std):"""Test that non negative mean and std are accepted."""minimum_data["image_means"] = [mean]minimum_data["image_stds"] = [std]minimum_data["target_means"] = [mean]minimum_data["target_stds"] = [std]data_model = DataConfig(**minimum_data)assert data_model.imag... | 1 | 10 | 3 | 83 | 1 | 24 | 35 | 24 | minimum_data,mean,std | ['data_model'] | None | {"Assign": 5, "Expr": 1} | 2 | 12 | 2 | ["DataConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_mean_std_non_negative) defined within the public class called public.The function start at line 24 and ends at 35. It contains 10 lines of code and it has a cyclomatic complexity of 1. It takes 3 parameters, represented as [24.0] and does not return any value. It declares 2.0 functions, and It has 2... |
CAREamics_careamics | public | public | 0 | 0 | test_mean_std_both_specified_or_none | def test_mean_std_both_specified_or_none(minimum_data: dict):"""Test an error is raised if std is specified but mean is None."""# No error if both are NoneDataConfig(**minimum_data)# Error if only mean is definedminimum_data["image_means"] = [10.4]with pytest.raises(ValueError):DataConfig(**minimum_data)# Error if only... | 1 | 15 | 1 | 115 | 0 | 38 | 62 | 38 | minimum_data | [] | None | {"Assign": 5, "Expr": 7, "With": 3} | 9 | 25 | 9 | ["DataConfig", "pytest.raises", "DataConfig", "minimum_data.pop", "pytest.raises", "DataConfig", "DataConfig", "pytest.raises", "DataConfig"] | 0 | [] | The function (test_mean_std_both_specified_or_none) defined within the public class called public.The function start at line 38 and ends at 62. It contains 15 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 9.0 functions, and I... |
CAREamics_careamics | public | public | 0 | 0 | test_set_mean_and_std | def test_set_mean_and_std(minimum_data: dict):"""Test that mean and std can be set after initialization."""# they can be set both, when they Nonemean = [4.07]std = [14.07]data = DataConfig(**minimum_data)data.set_means_and_stds(mean, std)assert data.image_means == meanassert data.image_stds == std# Set also target mean... | 1 | 10 | 1 | 73 | 3 | 65 | 78 | 65 | minimum_data | ['mean', 'std', 'data'] | None | {"Assign": 3, "Expr": 3} | 3 | 14 | 3 | ["DataConfig", "data.set_means_and_stds", "data.set_means_and_stds"] | 0 | [] | The function (test_set_mean_and_std) defined within the public class called public.The function start at line 65 and ends at 78. It contains 10 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 funct... |
CAREamics_careamics | public | public | 0 | 0 | test_normalize_not_accepted | def test_normalize_not_accepted(minimum_data: dict):"""Test that normalize is not accepted, because it is mandatory and applied elsewhere."""minimum_data["image_means"] = [10.4]minimum_data["image_stds"] = [3.2]minimum_data["transforms"] = [NormalizeModel(image_means=[0.485], image_stds=[0.229])]with pytest.raises(Valu... | 1 | 8 | 1 | 66 | 0 | 81 | 91 | 81 | minimum_data | [] | None | {"Assign": 3, "Expr": 2, "With": 1} | 3 | 11 | 3 | ["NormalizeModel", "pytest.raises", "DataConfig"] | 0 | [] | The function (test_normalize_not_accepted) defined within the public class called public.The function start at line 81 and ends at 91. It contains 8 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 3.0 functions, and It has 3.0 ... |
CAREamics_careamics | public | public | 0 | 0 | test_patch_size | def test_patch_size(minimum_data: dict):"""Test that non-zero even patch size are accepted."""# 2Ddata_model = DataConfig(**minimum_data)# 3Dminimum_data["patch_size"] = [16, 8, 8]minimum_data["axes"] = "ZYX"data_model = DataConfig(**minimum_data)assert data_model.patch_size == minimum_data["patch_size"] | 1 | 6 | 1 | 49 | 1 | 94 | 104 | 94 | minimum_data | ['data_model'] | None | {"Assign": 4, "Expr": 1} | 2 | 11 | 2 | ["DataConfig", "DataConfig"] | 0 | [] | The function (test_patch_size) defined within the public class called public.The function start at line 94 and ends at 104. It contains 6 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 2.0 functions, and It has 2.0 functions c... |
CAREamics_careamics | public | public | 0 | 0 | test_wrong_patch_size | def test_wrong_patch_size(minimum_data: dict, patch_size):"""Test that wrong patch sizes are not accepted (zero or odd, dims 1 or > 3)."""minimum_data["axes"] = "ZYX" if len(patch_size) == 3 else "YX"minimum_data["patch_size"] = patch_sizewith pytest.raises(ValueError):DataConfig(**minimum_data) | 2 | 5 | 2 | 44 | 0 | 110 | 116 | 110 | minimum_data,patch_size | [] | None | {"Assign": 2, "Expr": 2, "With": 1} | 4 | 7 | 4 | ["len", "pytest.raises", "DataConfig", "pytest.mark.parametrize"] | 0 | [] | The function (test_wrong_patch_size) defined within the public class called public.The function start at line 110 and ends at 116. It contains 5 lines of code and it has a cyclomatic complexity of 2. It takes 2 parameters, represented as [110.0] and does not return any value. It declares 4.0 functions, and It has 4.0 ... |
CAREamics_careamics | public | public | 0 | 0 | test_set_3d | def test_set_3d(minimum_data: dict):"""Test that 3D can be set."""data = DataConfig(**minimum_data)assert "Z" not in data.axesassert len(data.patch_size) == 2# error if changing Z manuallywith pytest.raises(ValueError):data.axes = "ZYX"# or patch sizedata = DataConfig(**minimum_data)with pytest.raises(ValueError):data.... | 1 | 13 | 1 | 106 | 1 | 119 | 138 | 119 | minimum_data | ['data'] | None | {"Assign": 5, "Expr": 2, "With": 2} | 8 | 20 | 8 | ["DataConfig", "len", "pytest.raises", "DataConfig", "pytest.raises", "DataConfig", "data.set_3D", "len"] | 0 | [] | The function (test_set_3d) defined within the public class called public.The function start at line 119 and ends at 138. It contains 13 lines of code and it has a cyclomatic complexity of 1. The function does not take any parameters and does not return any value. It declares 8.0 functions, and It has 8.0 functions cal... |
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