vipr_reflectometry.reflectorch package

Subpackages

• vipr_reflectometry.reflectorch.examples package
  • Module contents
• vipr_reflectometry.reflectorch.load_model package
  • Submodules
  • vipr_reflectometry.reflectorch.load_model.reflectorch_model_loader module
    • ReflectorchModelLoader
      • ReflectorchModelLoader.Meta
    • ReflectorchModelLoaderParams
      • ReflectorchModelLoaderParams.config_name
      • ReflectorchModelLoaderParams.device
      • ReflectorchModelLoaderParams.model_config
      • ReflectorchModelLoaderParams.model_name
      • ReflectorchModelLoaderParams.repo_id
      • ReflectorchModelLoaderParams.root_dir
      • ReflectorchModelLoaderParams.weights_format
  • Module contents
    • TimedInferenceModel
      • TimedInferenceModel.predict()
• vipr_reflectometry.reflectorch.plot_scripts package
  • Submodules
  • vipr_reflectometry.reflectorch.plot_scripts.reflectivity_plot module
    • find_data_file()
    • make_plot()
  • Module contents
• vipr_reflectometry.reflectorch.postprocess package
  • Subpackages
    • vipr_reflectometry.reflectorch.postprocess.data_collectors package
      • Submodules
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.batch_visualizations module
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.collector module
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.data_extraction module
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.spectrum_visualizations module
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.statistics module
      • vipr_reflectometry.reflectorch.postprocess.data_collectors.streaming_handler module
      • Module contents
  • Module contents
• vipr_reflectometry.reflectorch.predict package
  • Submodules
  • vipr_reflectometry.reflectorch.predict.reflectorch_predictor module
    • ReflectorchPredictor
      • ReflectorchPredictor.Meta
    • ReflectorchPredictorParams
      • ReflectorchPredictorParams.calc_polished_sld_profile
      • ReflectorchPredictorParams.calc_pred_curve
      • ReflectorchPredictorParams.calc_pred_sld_profile
      • ReflectorchPredictorParams.clip_prediction
      • ReflectorchPredictorParams.model_config
      • ReflectorchPredictorParams.number_top_to_bottom
      • ReflectorchPredictorParams.polish_prediction
      • ReflectorchPredictorParams.prior_bounds
      • ReflectorchPredictorParams.q_resolution
      • ReflectorchPredictorParams.sld_profile_padding_left
      • ReflectorchPredictorParams.sld_profile_padding_right
      • ReflectorchPredictorParams.upper_phase_sld
      • ReflectorchPredictorParams.use_q_shift
    • load()
  • Module contents
• vipr_reflectometry.reflectorch.preprocess package
  • Submodules
  • vipr_reflectometry.reflectorch.preprocess.error_bar_filter module
    • ErrorBarFilter
      • ErrorBarFilter.preprocess_error_bar_filter()
    • ErrorBarFilterParams
      • ErrorBarFilterParams.filter_consecutive
      • ErrorBarFilterParams.filter_q_start_trunc
      • ErrorBarFilterParams.filter_remove_consecutives
      • ErrorBarFilterParams.filter_remove_singles
      • ErrorBarFilterParams.filter_threshold
      • ErrorBarFilterParams.model_config
    • get_filtering_mask()
  • vipr_reflectometry.reflectorch.preprocess.interpolation_filter module
    • InterpolationFilter
      • InterpolationFilter.preprocess_interpolate()
  • Module contents
    • ErrorBarFilter
      • ErrorBarFilter.preprocess_error_bar_filter()
    • InterpolationFilter
      • InterpolationFilter.preprocess_interpolate()

Submodules

vipr_reflectometry.reflectorch.models module

class vipr_reflectometry.reflectorch.models.FileValidationResponse(*, is_valid: bool, error_message: str | None = None, file_path: str | None = None, raw_input: RawInputData | None = None)

Bases: BaseModel

error_message: str | None

file_path: str | None

is_valid: bool

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

raw_input: RawInputData | None

class vipr_reflectometry.reflectorch.models.RawInputData(*, q: list[float], reflectivity: list[float], reflectivity_errors: list[float] | None = None, q_resolution: list[float] | None = None)

Bases: BaseModel

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

q: list[float]

q_resolution: list[float] | None

reflectivity: list[float]

reflectivity_errors: list[float] | None

Module contents

Reflectorch submodule for VIPR reflectometry plugin.

class vipr_reflectometry.reflectorch.ReflectorchDataCollector(app)

Bases: object

Batch-aware UI data collector for reflectorch results.

collect_prediction_results(app, data=None, result=None)

Collect prediction results for UI visualization - unified batch handling.

class vipr_reflectometry.reflectorch.ReflectorchModelLoader(**kw: Any)

Bases: ModelLoaderHandler

class Meta

Bases: object

label = 'reflectorch'

class vipr_reflectometry.reflectorch.ReflectorchPerformance(app)

Bases: object

Performance monitoring for reflectorch predictions.

Registers an INFERENCE_COMPLETE_HOOK that picks up the 'timing' key injected by TimedInferenceModel and stores formatted timing data in the DataCollector so it is persisted to data.pkl and available in the UI.

class vipr_reflectometry.reflectorch.ReflectorchPredictor(**kw: Any)

Bases: PredictorHandler

Predictor handler for Reflectorch models.

class Meta

Bases: object

label = 'reflectorch_predictor'