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add mode logical_and to pruning
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@vaustrup
vaustrup committed Dec 8, 2023
1 parent 4d215a7 commit 0fa5f6c
Showing 1 changed file with 72 additions and 11 deletions.
83 changes: 72 additions & 11 deletions src/pyhf/workspace.py
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Original file line number Diff line number Diff line change
Expand Up @@ -583,16 +583,40 @@ def _prune_and_rename(
),
)
for modifier in sample['modifiers']
if modifier['name'] not in prune_modifiers
and modifier['type'] not in prune_modifier_types
if (
channel['name'] not in prune_channels
and prune_channels != []
) # want to remove only if channel is in prune_channels or if prune_channels is empty, i.e. we want to prune this modifier for every channel
or (
sample['name'] not in prune_samples
and prune_samples != []
) # want to remove only if sample is in prune_samples or if prune_samples is empty, i.e. we want to prune this modifier for every sample
or (
modifier['name'] not in prune_modifiers
and modifier['type'] not in prune_modifier_types
)
or prune_measurements
!= [] # need to keep the modifier in case it is used in another measurement
],
}
for sample in channel['samples']
if sample['name'] not in prune_samples
if (
channel['name'] not in prune_channels
and prune_channels != []
) # want to remove only if channel is in prune_channels or if prune_channels is empty, i.e. we want to prune this sample for every channel
or sample['name'] not in prune_samples
or prune_modifiers
!= [] # we only want to remove this sample if we did not specify modifiers to prune
or prune_modifier_types != []
],
}
for channel in self['channels']
if channel['name'] not in prune_channels
or ( # we only want to remove this channel if we did not specify any samples or modifiers to prune
prune_samples != []
or prune_modifiers != []
or prune_modifier_types != []
)
],
'measurements': [
{
Expand All @@ -607,8 +631,14 @@ def _prune_and_rename(
parameter['name'], parameter['name']
),
)
for parameter in measurement['config']['parameters']
if parameter['name'] not in prune_modifiers
for parameter in measurement['config'][
'parameters'
] # we only want to remove this parameter if measurement is in prune_measurements or if prune_measurements is empty
if (
measurement['name'] not in prune_measurements
and prune_measurements != []
)
or parameter['name'] not in prune_modifiers
],
'poi': rename_modifiers.get(
measurement['config']['poi'], measurement['config']['poi']
Expand All @@ -617,6 +647,8 @@ def _prune_and_rename(
}
for measurement in self['measurements']
if measurement['name'] not in prune_measurements
or prune_modifiers
!= [] # we only want to remove this measurement if we did not specify parameters to remove
],
'observations': [
dict(
Expand All @@ -625,6 +657,11 @@ def _prune_and_rename(
)
for observation in self['observations']
if observation['name'] not in prune_channels
or ( # we only want to remove this channel if we did not specify any samples or modifiers to prune
prune_samples != []
or prune_modifiers != []
or prune_modifier_types != []
)
],
'version': self['version'],
}
Expand All @@ -637,6 +674,7 @@ def prune(
samples=None,
channels=None,
measurements=None,
mode="logical_or",
):
"""
Return a new, pruned workspace specification. This will not modify the original workspace.
Expand All @@ -649,6 +687,7 @@ def prune(
samples: A :obj:`list` of samples to prune.
channels: A :obj:`list` of channels to prune.
measurements: A :obj:`list` of measurements to prune.
mode (:obj: string): `logical_or` or `logical_and` to chain pruning with a logical OR or a logical AND, respectively. Default: `logical_or`.
Returns:
~pyhf.workspace.Workspace: A new workspace object with the specified components removed
Expand All @@ -657,19 +696,41 @@ def prune(
~pyhf.exceptions.InvalidWorkspaceOperation: An item name to prune does not exist in the workspace.
"""

if mode not in ["logical_and", "logical_or"]:
raise ValueError(
"Pruning mode must be either `logical_and` or `logical_or`."
)

# avoid mutable defaults
modifiers = [] if modifiers is None else modifiers
modifier_types = [] if modifier_types is None else modifier_types
samples = [] if samples is None else samples
channels = [] if channels is None else channels
measurements = [] if measurements is None else measurements

return self._prune_and_rename(
prune_modifiers=modifiers,
prune_modifier_types=modifier_types,
prune_samples=samples,
prune_channels=channels,
prune_measurements=measurements,
if mode == "logical_and":
if samples != [] and measurements != []:
raise ValueError(
"Pruning of measurements and samples cannot be run with mode `logical_and`."
)
if modifier_types != [] and measurements != []:
raise ValueError(
"Pruning of measurements and modifier_types cannot be run with mode `logical_and`."
)
return self._prune_and_rename(
prune_modifiers=modifiers,
prune_modifier_types=modifier_types,
prune_samples=samples,
prune_channels=channels,
prune_measurements=measurements,
)
return (
self._prune_and_rename(prune_modifiers=modifiers)
._prune_and_rename(prune_modifier_types=modifier_types)
._prune_and_rename(prune_samples=samples)
._prune_and_rename(prune_channels=channels)
._prune_and_rename(prune_measurements=measurements)
)

def rename(self, modifiers=None, samples=None, channels=None, measurements=None):
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