def test_gather_commands(ing):
ing2 = Ingredient("other", ingredients=[ing])
@ing.command
def foo():
pass
@ing2.command
def bar():
pass
commands = list(ing2.gather_commands())
assert ("other.bar", bar) in commands
assert ("tickle.foo", foo) in commands
def test_gather_commands(ing):
ing2 = Ingredient('other', ingredients=[ing])
@ing.command
def foo():
pass
@ing2.command
def bar():
pass
commands = list(ing2._gather_commands())
assert ('other.bar', bar) in commands
assert ('tickle.foo', foo) in commands
def test_gather_commands(ing):
ing2 = Ingredient('other', ingredients=[ing])
@ing.command
def foo():
pass
@ing2.command
def bar():
pass
commands = list(ing2.gather_commands())
assert ('other.bar', bar) in commands
assert ('tickle.foo', foo) in commands
def test_gather_named_configs(ing):
ing2 = Ingredient('ing2', ingredients=[ing])
@ing.named_config
def named_config1():
pass
@ing2.named_config
def named_config2():
"""named config with doc"""
pass
named_configs = list(ing2.gather_named_configs())
assert ('ing2.named_config2', named_config2) in named_configs
assert ('tickle.named_config1', named_config1) in named_configs
def test_gather_named_configs(ing):
ing2 = Ingredient('ing2', ingredients=[ing])
@ing.named_config
def named_config1():
pass
@ing2.named_config
def named_config2():
"""named config with doc"""
pass
named_configs = list(ing2.gather_named_configs())
assert ('ing2.named_config2', named_config2) in named_configs
assert ('tickle.named_config1', named_config1) in named_configs
def test_get_experiment_info_circular_dependency_raises(ing):
ing2 = Ingredient('other', ingredients=[ing])
ing.ingredients = [ing2]
with pytest.raises(CircularDependencyError):
ing.get_experiment_info()
def ing():
return Ingredient('tickle')
# Author: Arthur Mensch
# License: BSD
import time
import matplotlib.pyplot as plt
from modl.feature_extraction.image import LazyCleanPatchExtractor
from modl.image import ImageDictFact
from sacred import Experiment
from sacred.ingredient import Ingredient
from modl.datasets.image import load_image
from modl.plotting.image import plot_patches
data_ing = Ingredient('data')
decompose_ex = Experiment('decompose_images', ingredients=[data_ing])
@decompose_ex.config
def config():
batch_size = 400
learning_rate = 0.92
reduction = 10
alpha = 0.08
n_epochs = 10
n_components = 50
test_size = 4000
max_patches = 10000
patch_size = (16, 16)
n_threads = 2
verbose = 20
method = 'average'
def ing():
return Ingredient("tickle")