class TrainingCurves(Enum):
""" """
(
validation_precision_recall,
validation_receiver_operator_characteristic,
) = assigned_names()
class SelfAttentionTypeEnum(Enum):
""" """
(
pairwise, # pairwise subtraction 0
patchwise, # patchwise unfolding 1
) = assigned_names()
class TrainingScalars(Enum):
""" """
(
training_loss,
validation_loss,
validation_accuracy,
new_best_model,
) = assigned_names()
class TestingScalars(Enum):
""" """
(
test_accuracy,
test_precision,
test_recall,
test_receiver_operator_characteristic_auc,
) = assigned_names()
class ChainedAssignmentOptionEnum(enum.Enum):
"""
from contextlib import suppress
from pandas.core.common import SettingWithCopyWarning
"""
(
warn, # the default, means a SettingWithCopyWarning is printed.
raises, # means pandas will raise a SettingWithCopyException you have to deal with.
) = assigned_names()
none = None # will suppress the warnings entirely.
class ServiceOption(Enum):
""" """
(
install,
remove,
uninstall,
disable,
enable,
start,
stop,
restart,
status,
) = assigned_names() # same
class RestartServiceEnum(Enum):
"""
Restart settings\Exit causes no always on-success on-failure on-abnormal on-abort on-watchdog
Clean exit code or signal X X
Unclean exit code X X
Unclean signal X X X X
Timeout X X X
Watchdog X X X X
"""
no, always = assigned_names()
on_failure = "on-failure"
on_success = "on-success"
on_abnormal = "on-abnormal"
on_abort = "on-abort"
on_watchdog = "on-watchdog"
class ColorEnum(Enum):
""" """
(
purple,
cyan,
yellow,
red,
green,
blue,
magenta,
pink,
orange,
black,
white,
) = assigned_names()
class PilModesEnum(Enum):
"""
PIL pixel formats:
RGB 24bits per pixel, 8-bit-per-channel RGB), 3 channels
RGBA (8-bit-per-channel RGBA), 4 channels
RGBa (8-bit-per-channel RGBA, remultiplied alpha), 4 channels
1 - 1bpp, often for masks, 1 channel
L - 8bpp, grayscale, 1 channel
P - 8bpp, paletted, 1 channel
I - 32-bit integers, grayscale, 1 channel
F - 32-bit floats, grayscale, 1 channel
CMYK - 8 bits per channel, 4 channels
YCbCr - 8 bits per channel, 3 channels
"""
OneBpp = "1"
CMYK, F, HSV, I, L, LAB, P, RGB, RGBA, RGBX, YCbCr = assigned_names()
class OutputType(Enum):
(
html,
dirhtml,
singlehtml,
htmlhelp,
qthelp,
devhelp,
epub,
applehelp,
latex,
man,
texinfo,
text,
gettext,
doctest,
linkcheck,
xml,
pseudoxml,
) = assigned_names()
pdf = "latex"
class InterpolationEnum(Enum):
(
none,
antialiased,
nearest,
bilinear,
bicubic,
spline16,
spline36,
hanning,
hamming,
hermite,
kaiser,
quadric,
catrom,
gaussian,
bessel,
mitchell,
sinc,
lanczos,
blackman,
) = assigned_names()
class ExportMethodEnum(enum.Enum):
"""
Available Pandas Dataframe Export methods"""
(
parquet,
pickle, # also 'dataframe'
csv,
hdf,
sql,
dict,
excel,
json,
html,
feather,
latex,
stata,
gbq,
records,
string,
clipboard,
markdown,
xarray,
) = assigned_names()
class ApproximateShapeEnum(Enum):
triangle, square, rectangle, pentagon, circle = assigned_names()
class MatplotlibVerticalAlignment(Enum):
""" """
(center, top, bottom, baseline, center_baseline) = assigned_names()
class MatplotlibHorizontalAlignment(Enum):
""" """
(center, right, left) = assigned_names()
class PennFudanReturnVariantEnum(Enum):
"""
Return binary mask, instanced or all annotations
"""
binary, instanced, all = assigned_names()
class SplitEnum(Enum):
"""
Split Enum class for selecting splits"""
(training, validation, testing) = assigned_names()
def test_assigned_names(self):
x, y = ['_' + s for s in spells.assigned_names()]
self.assertEqual(x, '_x')
self.assertEqual(y, '_y')
class SettingScopeEnum(Enum):
""" """
user, site, root = assigned_names()
class TestingCurves(Enum):
""" """
test_precision_recall, test_receiver_operator_characteristic = assigned_names(
)
class TrainingTables(Enum):
""" """
validation_confusion_matrix, validation_support = assigned_names()
class ReductionMethodEnum(Enum):
""" """
none, mean, sum = assigned_names()
class PadModeEnum(Enum):
""" """
zero_pad, ref_pad = assigned_names()
class ResizeMethodEnum(Enum):
crop, scale, scale_crop = assigned_names()
class HeimdallrMode(Enum):
""" """
server, publisher = assigned_names()
class TestingTables(Enum):
""" """
test_confusion_matrix, test_support = assigned_names()
class CoeffFormatEnum(Enum):
(wavedec, wavedec2, wavedecn) = assigned_names()
class RunAsEnum(Enum):
""" """
user, app_user, root = assigned_names()
class ConvexHullEnum(Enum):
rect, convex, min_area_rect = assigned_names()
class PositionEnum(Enum):
upper_left, lower_left, upper_right, lower_right = assigned_names()
