llg3d.post.info¶

Dump simulation results from a .npz file.

To browse the content of the run.npz file, use the llg3d.info command:

$ llg3d.info run.npz
params
    element:         Cobalt
    N:               100
    dt:              1e-14
    Jx:              300
    Jy:              21
    Jz:              21
    dx:              1e-09
    T:               0.0
    H_ext:           0.0
    init_type:       0
    result_file:     run.npz
    start_averaging: 4000
    n_mean:          1
    n_profile:       0
    solver:          numpy
    precision:       double
    blocking:        False
    seed:            12345
    device:          auto
    profiling:       False
    verbosity:       INFO
    np:              1
results/metrics
    total_time:   1.1824582910630852
    time_per_ite: 0.011824582910630852
    CFL:          0.07542857142857141
results/records
xyz_average
        shape: (100, 2), dtype: float64

The numpy arrays cans be previewed with more detailed information using the --verbose option:

$ llg3d.info run.npz --verbose
params
    element:         Cobalt
    N:               100
    dt:              1e-14
    Jx:              300
    Jy:              21
    Jz:              21
    dx:              1e-09
    T:               0.0
    H_ext:           0.0
    init_type:       0
    result_file:     run.npz
    start_averaging: 4000
    n_mean:          1
    n_profile:       0
    solver:          numpy
    precision:       double
    blocking:        False
    seed:            12345
    device:          auto
    profiling:       False
    verbosity:       INFO
    np:              1
results/metrics
    total_time:   1.1824582910630852
    time_per_ite: 0.011824582910630852
    CFL:          0.07542857142857141
results/records
xyz_average
        shape: (100, 2)
        dtype: float64
        min: 1.000000e-14, max: 1.000000e+00
        mean: 5.000000e-01, std: 5.000000e-01
        memory: 1.56 KB
        [[1.000e-14 1.000e+00]
         [2.000e-14 1.000e+00]
         ...
         [9.900e-13 1.000e+00]
         [1.000e-12 1.000e+00]]

Functions

`dict_to_str`(d)	Convert a dictionary to a formatted string.
`get_array_memory`(arr)	Return a human-readable string of the array memory size.
`get_info`(filename[, verbose])	Returns the simulation parameters and results from a .npz file.
`main`()	Parse command line arguments and print simulation info.
`summarize_array`(arr)	Return a summary of the array.

get_array_memory(arr)[source]¶

Return a human-readable string of the array memory size.

Parameters:: arr (ndarray)
Return type:: str

summarize_array(arr)[source]¶

Return a summary of the array.

Parameters:: arr (ndarray)
Return type:: str

dict_to_str(d)[source]¶

Convert a dictionary to a formatted string.

Right-aligns the values for better readability. Skips empty dicts and empty lists.

Parameters:: d (dict) – The dictionary to convert.
Returns:: A formatted string representation of the dictionary.
Return type:: str

_format_array(arr, verbose)[source]¶

Format an array depending on verbosity.

Parameters:

arr (ndarray)
verbose (bool)

Return type:

str

_format_records(records, verbose, indent=0)[source]¶

Recursively format records section (nested dicts/arrays).

Parameters:

records (Records | dict)
verbose (bool)
indent (int)

Return type:

list[str]

_format_metrics(metrics)[source]¶

Format metrics data, handling profiling_stats specially.

Parameters:: metrics (Metrics) – Dictionary containing metrics data
Returns:: List of formatted lines to append
Return type:: list[str]

get_info(filename, verbose=False)[source]¶

Returns the simulation parameters and results from a .npz file.

Parameters:

filename (Path) – Path to the .npz result file
verbose (bool) – If True, includes detailed array information

Returns:

A formatted string with simulation information

Return type:

str

main()[source]¶: Parse command line arguments and print simulation info.