geowatch.tasks.fusion.datamodules.temporal_sampling.time_kernel_grammar module

A grammar to allow the user to define one or more time kernels. Because we use “,” as the main separator, groups must be enclosed in parans.

Example

>>> time_kernel = '-1y,-30d,-1d,0,1d,30d,1y'
>>> time_kernel = '(-1y,-30d,-1d,0,1d,30d,1y),(0),(-1,0,1)'

class geowatch.tasks.fusion.datamodules.temporal_sampling.time_kernel_grammar.MultiTimeKernelTransformer(visit_tokens: bool = True)

Bases: Transformer

bare_kernel(items)

paren_kernel(items)

multi_kernel(items)

geowatch.tasks.fusion.datamodules.temporal_sampling.time_kernel_grammar.parse_multi_time_kernel(time_kernel)

Example

>>> from geowatch.tasks.fusion.datamodules.temporal_sampling.time_kernel_grammar import *  # NOQA
>>> time_kernel = '-3h,-1h,-1min,0,1min,1h,3h'
>>> multi_kernel = parse_multi_time_kernel(time_kernel)
>>> print('multi_kernel = {}'.format(ub.urepr(multi_kernel, nl=1)))
multi_kernel = [
    np.array([-10800.,  -3600.,    -60.,      0.,     60.,   3600.,  10800.], dtype=np.float64),
]
>>> time_kernel = '(-1d,-3h,-1h,0,1h,3h,1d),(0),(-1,0,1)'
>>> multi_kernel = parse_multi_time_kernel(time_kernel)
>>> print('multi_kernel = {}'.format(ub.urepr(multi_kernel, nl=1)))
multi_kernel = [
    np.array([-86400., -10800.,  -3600.,      0.,   3600.,  10800.,  86400.], dtype=np.float64),
    np.array([0.], dtype=np.float64),
    np.array([-1.,  0.,  1.], dtype=np.float64),
]