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"""globals variables demo"""
import globalsContainer
import globalsContainerSimple
import modul2
def f1():
gc = globalsContainer
print("m1.f1:",gc.varA1, gc.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.f1 change values")
gc.varA1 = 111
gc.myglobals.varC1 =112
globalsContainerSimple.testvar = 1.1
def f2():
gc = globalsContainer
print("m1.f2:",gc.varA1, gc.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.f2 change values")
gc.varA1 = 121
gc.myglobals.varC1 =122
globalsContainerSimple.testvar = 1.2
def main():
print("Verify the address of the class myglobals, because it's used as static class, \
all the modules access the same variables address.)")
print("m1:", globalsContainer.myglobals.varCHallo, globalsContainer.myglobals, modul2.globalsContainer.myglobals )
gcInstance = globalsContainer.myglobals() # create an instance
globalsContainerSimple.testvar = "init m1"
globalsContainerSimple.varFromM1 = "init1"
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
gcInstance.varA1 = 0.1
gcInstance.varC1 = 0.2
print("m1.m value of instance: ", gcInstance.varC1)
f1()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
f2()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
modul2.f1()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
modul2.f2()
print("m1.m:",modul2.globalsContainer.varA1, modul2.globalsContainer.myglobals.varC1)
modul2.main()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
globalsContainer.varA1, globalsContainer.myglobals.varC1 = 91,92
print("m1.m change values")
modul2.main()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.m value of instance: ", gcInstance.varC1)
print("from m1 globalsContainerSimple dir: ", modul2.returnNoS(dir(globalsContainerSimple)))
main() | globalvars/modul1.py | """globals variables demo"""
import globalsContainer
import globalsContainerSimple
import modul2
def f1():
gc = globalsContainer
print("m1.f1:",gc.varA1, gc.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.f1 change values")
gc.varA1 = 111
gc.myglobals.varC1 =112
globalsContainerSimple.testvar = 1.1
def f2():
gc = globalsContainer
print("m1.f2:",gc.varA1, gc.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.f2 change values")
gc.varA1 = 121
gc.myglobals.varC1 =122
globalsContainerSimple.testvar = 1.2
def main():
print("Verify the address of the class myglobals, because it's used as static class, \
all the modules access the same variables address.)")
print("m1:", globalsContainer.myglobals.varCHallo, globalsContainer.myglobals, modul2.globalsContainer.myglobals )
gcInstance = globalsContainer.myglobals() # create an instance
globalsContainerSimple.testvar = "init m1"
globalsContainerSimple.varFromM1 = "init1"
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
gcInstance.varA1 = 0.1
gcInstance.varC1 = 0.2
print("m1.m value of instance: ", gcInstance.varC1)
f1()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
f2()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
modul2.f1()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
modul2.f2()
print("m1.m:",modul2.globalsContainer.varA1, modul2.globalsContainer.myglobals.varC1)
modul2.main()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1)
globalsContainer.varA1, globalsContainer.myglobals.varC1 = 91,92
print("m1.m change values")
modul2.main()
print("m1.m:",globalsContainer.varA1, globalsContainer.myglobals.varC1, globalsContainerSimple.testvar)
print("m1.m value of instance: ", gcInstance.varC1)
print("from m1 globalsContainerSimple dir: ", modul2.returnNoS(dir(globalsContainerSimple)))
main() | 0.162413 | 0.127898 |
import tensorflow as tf
from xcenternet.model.evaluation.mean_average_precision import MAP
class MAPValidationCallback(tf.keras.callbacks.Callback):
"""
Callback that allows us to calculate Mean Average Precision and write it to TensorBoard.
Tp be used on validation dataset and it is performed only when validation is performed.
We recommend not doing so after each epoch since this step takes some time. (Use validation_freq of fit.)
Validation dataset need to be provided, since callback cannot obtain it any other way.
"""
def __init__(
self,
log_dir: str,
val_data: tf.data.Dataset,
model: tf.keras.Model,
classes: int,
max_objects: int,
iou_threshold: float,
score_threshold: float,
):
super().__init__()
self.writer = tf.summary.create_file_writer(log_dir)
self.val_data = val_data
self.model = model
self.max_objects = max_objects
self.iou_threshold = iou_threshold
self.score_threshold = score_threshold
self.mean_average_precision = MAP(classes, iou_threshold=iou_threshold, score_threshold=score_threshold)
def on_epoch_end(self, epoch, logs=None):
# If we did not perform validation for this epoch, just skip map calculation
if not any(map(lambda key: key.startswith("val_"), logs.keys())):
super().on_batch_end(epoch, logs)
return
# calculate mAP and add it to the logs
self.mean_average_precision.reset_states()
for inputs, outputs, training_data in self.val_data:
images = inputs["input"]
mask, bboxes, labels = training_data["mask"], training_data["bboxes"], training_data["labels"]
batch_predict = self.model.predict_on_batch(images)
decoded = self.model.decode(batch_predict, relative=False, k=self.max_objects)
self.mean_average_precision.update_state_batch(decoded, bboxes, labels, mask)
result = self.mean_average_precision.result()
with self.writer.as_default():
tf.summary.scalar("val_map_overall", result["overall"], epoch)
tf.summary.scalar("val_map_weighted", result["weighted"], epoch) | xcenternet/model/callbacks.py | import tensorflow as tf
from xcenternet.model.evaluation.mean_average_precision import MAP
class MAPValidationCallback(tf.keras.callbacks.Callback):
"""
Callback that allows us to calculate Mean Average Precision and write it to TensorBoard.
Tp be used on validation dataset and it is performed only when validation is performed.
We recommend not doing so after each epoch since this step takes some time. (Use validation_freq of fit.)
Validation dataset need to be provided, since callback cannot obtain it any other way.
"""
def __init__(
self,
log_dir: str,
val_data: tf.data.Dataset,
model: tf.keras.Model,
classes: int,
max_objects: int,
iou_threshold: float,
score_threshold: float,
):
super().__init__()
self.writer = tf.summary.create_file_writer(log_dir)
self.val_data = val_data
self.model = model
self.max_objects = max_objects
self.iou_threshold = iou_threshold
self.score_threshold = score_threshold
self.mean_average_precision = MAP(classes, iou_threshold=iou_threshold, score_threshold=score_threshold)
def on_epoch_end(self, epoch, logs=None):
# If we did not perform validation for this epoch, just skip map calculation
if not any(map(lambda key: key.startswith("val_"), logs.keys())):
super().on_batch_end(epoch, logs)
return
# calculate mAP and add it to the logs
self.mean_average_precision.reset_states()
for inputs, outputs, training_data in self.val_data:
images = inputs["input"]
mask, bboxes, labels = training_data["mask"], training_data["bboxes"], training_data["labels"]
batch_predict = self.model.predict_on_batch(images)
decoded = self.model.decode(batch_predict, relative=False, k=self.max_objects)
self.mean_average_precision.update_state_batch(decoded, bboxes, labels, mask)
result = self.mean_average_precision.result()
with self.writer.as_default():
tf.summary.scalar("val_map_overall", result["overall"], epoch)
tf.summary.scalar("val_map_weighted", result["weighted"], epoch) | 0.889337 | 0.401805 |
def lastrow_to_friendsoftracking(data):
# data - dataframe in format of '../Last-Row-master/datasets/positional_data/liverpool_2019.csv'
import numpy as np
# Create a consistent player variable across all matches -
# **not consistent player to player each match, but all players numbered 0-22**
# Use player number from LastRow data to track players across matches - haven't figured that one out yet
consistent_player_temp = []
for match in data.index.get_level_values('play').unique():
# get unique list of players
players = data.loc[match]['player'].unique()
# count number of them
num_players = len(players)
# create range 1:number unique players
consistent_players = np.array(range(0,num_players))
# map players to consistent players
player_map = dict(zip(players, consistent_players))
mapped_players = data.loc[match]['player'].map(player_map)
# append matches together
consistent_player_temp.extend(mapped_players)
# Add to dataframe
data['consistent_player'] = consistent_player_temp
# Create attackers/defense player column - fill in missing values as the ball
data['player_x'] = data['team'] + "_" + data['consistent_player'].map(str) + "_x"
data['player_x'].fillna('ball_x', inplace = True)
data['player_y'] = data['team'] + "_" + data['consistent_player'].map(str) + "_y"
data['player_y'].fillna('ball_y', inplace = True)
# Pivot long format to wide for x columns
x_columns = [c for c in data.columns if c.lower()[-1] == 'x' or (c.lower() == 'team')]
data_x = data[x_columns]
data_x_reset = data_x.reset_index()
data_x_wide = data_x_reset.pivot_table(index = ['play','frame'], columns='player_x', values='x')
# Pivot long format to wide for y columns
y_columns = [c for c in data.columns if c.lower()[-1] == 'y' or (c.lower() == 'team')]
data_y = data[y_columns]
data_y_reset = data_y.reset_index()
data_y_wide =data_y_reset.pivot_table(index = ['play','frame'], columns='player_y', values='y')
# Join x,y locations together
data_wide = data_x_wide.join(data_y_wide)
# Separate into Attacking/Defence to emulate Home/Away
attack_col = [c for c in data_wide.columns if ((c.lower()[:6] == 'attack') or (c.lower()[:4] == 'ball'))]
data_attack = data_wide[attack_col]
defence_col = [c for c in data_wide.columns if ((c.lower()[:7] == 'defense') or (c.lower()[:4] == 'ball'))]
data_defence = data_wide[defence_col]
# Reset index to use Frame info to calculate Time [s]
data_attack.reset_index(level='frame', inplace=True)
data_defence.reset_index(level='frame', inplace=True)
# 20 FPS in LastRow data
data_attack['Time [s]'] = data_attack['frame'] / 20
data_defence['Time [s]'] = data_defence['frame'] / 20
# Add Frame back to the index
data_attack.set_index([data_attack.index,'frame'], inplace = True)
data_defence.set_index([data_defence.index,'frame'], inplace = True)
return data_attack, data_defence
def lastrow_to_metric_coordinates(data,field_dimen=(106.,68.) ):
# Adapted from @LaurieShaw's Metrics version
# Get relevant columns
x_columns = [c for c in data.columns if c[-1].lower()=='x']
y_columns = [c for c in data.columns if c[-1].lower()=='y']
# Convert to centre origin - from 0 to 100 both axis to field_dimen
data[x_columns] = ( (data[x_columns]-50)/100 ) * field_dimen[0]
data[y_columns] = ( (data[y_columns]-50)/100 ) * field_dimen[1]
return data
def lastrow_to_single_playing_direction(attack, defence):
# Define current shooting directions
shoot_direction = {
'Liverpool [3] - 0 Bournemouth' : 'left to right',
'Bayern 0 - [1] Liverpool' : 'left to right',
'Fulham 0 - [1] Liverpool' : 'right to left',
'Southampton 1 - [2] Liverpool' : 'right to left',
'Liverpool [2] - 0 Porto' : 'right to left',
'Porto 0 - [2] Liverpool' : 'right to left',
'Liverpool [4] - 0 Barcelona' : 'left to right',
'Liverpool [1] - 0 Wolves' : 'left to right',
'Liverpool [3] - 0 Norwich' : 'right to left',
'Liverpool [2] - 1 Chelsea' : 'left to right',
'Liverpool [2] - 1 Newcastle' : 'left to right',
'Liverpool [2] - 0 Salzburg' : 'right to left',
'Genk 0 - [3] Liverpool' : 'left to right',
'Liverpool [2] - 0 Man City' : 'right to left',
'Liverpool [1] - 0 Everton' : 'right to left',
'Liverpool [2] - 0 Everton' : 'right to left',
'Bournemouth 0 - 3 Liverpool' : 'right to left',
'Liverpool [1] - 0 Watford' : 'right to left',
'Leicester 0 - [3] Liverpool' : 'left to right'
}
for team in attack,defence:
# Get relevant columns
columns = [c for c in team.columns if c[-1].lower() in ['x','y']]
# If match is 'left to right' then flip all x,y coordinates
for index,row in team.iterrows():
if shoot_direction[index[0]] == 'left to right':
row[columns] *= -1
return attack,defence | bokeh-app/lastrow_to_friendsoftracking.py | def lastrow_to_friendsoftracking(data):
# data - dataframe in format of '../Last-Row-master/datasets/positional_data/liverpool_2019.csv'
import numpy as np
# Create a consistent player variable across all matches -
# **not consistent player to player each match, but all players numbered 0-22**
# Use player number from LastRow data to track players across matches - haven't figured that one out yet
consistent_player_temp = []
for match in data.index.get_level_values('play').unique():
# get unique list of players
players = data.loc[match]['player'].unique()
# count number of them
num_players = len(players)
# create range 1:number unique players
consistent_players = np.array(range(0,num_players))
# map players to consistent players
player_map = dict(zip(players, consistent_players))
mapped_players = data.loc[match]['player'].map(player_map)
# append matches together
consistent_player_temp.extend(mapped_players)
# Add to dataframe
data['consistent_player'] = consistent_player_temp
# Create attackers/defense player column - fill in missing values as the ball
data['player_x'] = data['team'] + "_" + data['consistent_player'].map(str) + "_x"
data['player_x'].fillna('ball_x', inplace = True)
data['player_y'] = data['team'] + "_" + data['consistent_player'].map(str) + "_y"
data['player_y'].fillna('ball_y', inplace = True)
# Pivot long format to wide for x columns
x_columns = [c for c in data.columns if c.lower()[-1] == 'x' or (c.lower() == 'team')]
data_x = data[x_columns]
data_x_reset = data_x.reset_index()
data_x_wide = data_x_reset.pivot_table(index = ['play','frame'], columns='player_x', values='x')
# Pivot long format to wide for y columns
y_columns = [c for c in data.columns if c.lower()[-1] == 'y' or (c.lower() == 'team')]
data_y = data[y_columns]
data_y_reset = data_y.reset_index()
data_y_wide =data_y_reset.pivot_table(index = ['play','frame'], columns='player_y', values='y')
# Join x,y locations together
data_wide = data_x_wide.join(data_y_wide)
# Separate into Attacking/Defence to emulate Home/Away
attack_col = [c for c in data_wide.columns if ((c.lower()[:6] == 'attack') or (c.lower()[:4] == 'ball'))]
data_attack = data_wide[attack_col]
defence_col = [c for c in data_wide.columns if ((c.lower()[:7] == 'defense') or (c.lower()[:4] == 'ball'))]
data_defence = data_wide[defence_col]
# Reset index to use Frame info to calculate Time [s]
data_attack.reset_index(level='frame', inplace=True)
data_defence.reset_index(level='frame', inplace=True)
# 20 FPS in LastRow data
data_attack['Time [s]'] = data_attack['frame'] / 20
data_defence['Time [s]'] = data_defence['frame'] / 20
# Add Frame back to the index
data_attack.set_index([data_attack.index,'frame'], inplace = True)
data_defence.set_index([data_defence.index,'frame'], inplace = True)
return data_attack, data_defence
def lastrow_to_metric_coordinates(data,field_dimen=(106.,68.) ):
# Adapted from @LaurieShaw's Metrics version
# Get relevant columns
x_columns = [c for c in data.columns if c[-1].lower()=='x']
y_columns = [c for c in data.columns if c[-1].lower()=='y']
# Convert to centre origin - from 0 to 100 both axis to field_dimen
data[x_columns] = ( (data[x_columns]-50)/100 ) * field_dimen[0]
data[y_columns] = ( (data[y_columns]-50)/100 ) * field_dimen[1]
return data
def lastrow_to_single_playing_direction(attack, defence):
# Define current shooting directions
shoot_direction = {
'Liverpool [3] - 0 Bournemouth' : 'left to right',
'Bayern 0 - [1] Liverpool' : 'left to right',
'Fulham 0 - [1] Liverpool' : 'right to left',
'Southampton 1 - [2] Liverpool' : 'right to left',
'Liverpool [2] - 0 Porto' : 'right to left',
'Porto 0 - [2] Liverpool' : 'right to left',
'Liverpool [4] - 0 Barcelona' : 'left to right',
'Liverpool [1] - 0 Wolves' : 'left to right',
'Liverpool [3] - 0 Norwich' : 'right to left',
'Liverpool [2] - 1 Chelsea' : 'left to right',
'Liverpool [2] - 1 Newcastle' : 'left to right',
'Liverpool [2] - 0 Salzburg' : 'right to left',
'Genk 0 - [3] Liverpool' : 'left to right',
'Liverpool [2] - 0 Man City' : 'right to left',
'Liverpool [1] - 0 Everton' : 'right to left',
'Liverpool [2] - 0 Everton' : 'right to left',
'Bournemouth 0 - 3 Liverpool' : 'right to left',
'Liverpool [1] - 0 Watford' : 'right to left',
'Leicester 0 - [3] Liverpool' : 'left to right'
}
for team in attack,defence:
# Get relevant columns
columns = [c for c in team.columns if c[-1].lower() in ['x','y']]
# If match is 'left to right' then flip all x,y coordinates
for index,row in team.iterrows():
if shoot_direction[index[0]] == 'left to right':
row[columns] *= -1
return attack,defence | 0.461988 | 0.65484 |
from __future__ import division
#!/usr/bin/env python
from scitbx import matrix
from rstbx.bpcx import sensor
class detector:
'''An abstract class definition for X-ray detectors which are assumed to
be composed of one or more flat rectangular sensor areas. Will initially
assume that sensor areas to not shadow one another.'''
def __init__(self, sensors):
self._sensors = sensors
return
def sensors(self):
return self._sensors
class reflection_predictor:
'''A class to convert supplied diffraction vectors and detector surfaces
to impact positions as sensor number and mm in the coordinate frame
attached to that sensor. Need to return number of sensor and coordinate.
The units of mm are not enforced - it is whatever the detector matrix d
is set up with'''
def __init__(self, rays, sensors):
self._rays = rays
self._sensors = sensors
return
def intersections(self):
'''Calculate intersections for each diffracted ray in the list'''
intersections = []
for ray in self._rays:
x = self.intersect_all_sensors(ray)
if x:
intersections.append(x)
return intersections
def intersect_all_sensors(self, ray):
# basic way - we have to check the vector against each sensor in turn.
# there may be more efficient short cuts
hit = None
for j, s in enumerate(self._sensors):
x = self.intersect(ray, s)
if x:
if hit is None:
dist = (matrix.col(s.origin) + \
x[0] * matrix.col(s.dir1) + \
x[1] * matrix.col(s.dir2)).length()
hit = (j, x[0], x[1], dist)
else:
dist = (matrix.col(s.origin) + \
x[0] * matrix.col(s.dir1) + \
x[1] * matrix.col(s.dir2)).length()
if dist < hit[3]:
hit = (j, x[0], x[1], dist)
return hit
def intersect(self, ray, sensor):
'''Compute intersection of sensor with ray from frame origin, returning
none if intersection not within limits.'''
raise RuntimeError('overload me')
class reflection_predictor_thomas(reflection_predictor):
'''Implementation of reflection_predictor using David Thomas' matrix
formalism'''
def intersect(self, ray, sensor):
v = matrix.sqr(sensor.D) * ray
x1 = v[0] / v[2]
x2 = v[1] / v[2]
if x1 < sensor.lim1[0] or x1 > sensor.lim1[1]:
return None
if x2 < sensor.lim2[0] or x2 > sensor.lim2[1]:
return None
return (x1, x2)
class reflection_predictor_trivial(reflection_predictor):
'''Implementation of reflection_predictor using the vectors directly'''
def intersect(self, ray, sensor):
scale = ray.dot(matrix.col(sensor.normal))
r = (ray * sensor.distance / scale) - matrix.col(sensor.origin)
x1 = r.dot(matrix.col(sensor.dir1))
x2 = r.dot(matrix.col(sensor.dir2))
if x1 < sensor.lim1[0] or x1 > sensor.lim1[1]:
return None
if x2 < sensor.lim2[0] or x2 > sensor.lim2[1]:
return None
return (x1, x2)
def predictor_factory(selection):
'''Factory function to choose a suitable implementation of the
reflection_predictor class. This is a basic version to flesh out the API.
A more realistic version might use e.g. PHIL parameters to make the choice
and would not hard code the alternatives'''
class_choice = {
'matrix': reflection_predictor_thomas,
'vector': reflection_predictor_trivial
}.get(selection)
return class_choice
def test_all():
'''Test all features of the module using a detector composed of four
overlapping square sensors.'''
d1 = matrix.col((1, 0, 0))
d2 = matrix.col((0, 1, 0))
lim = (0,50)
panel0 = sensor(matrix.col((-45, -45, 100)), d1, d2, lim, lim)
panel1 = sensor(matrix.col((-5, -45, 99)), d1, d2, lim, lim)
panel2 = sensor(matrix.col((-45, -5, 98)), d1, d2, lim, lim)
panel3 = sensor(matrix.col((-5, -5, 97)), d1, d2, lim, lim)
d = detector([panel0, panel1, panel2, panel3])
rays = [matrix.col((0, 0, 1))]
for ver in ('matrix', 'vector'):
rp = predictor_factory(ver)
rp = rp(rays, d.sensors())
# only one ray to consider
rpi = rp.intersections()
# the closest intersection should be on panel3
assert rpi[0][0] == 3
print 'OK'
def test_work():
'''Test all features of the module using a detector composed of four
overlapping square sensors, with lots of rays.'''
import random, time
nrays = 10000
d1 = matrix.col((1, 0, 0))
d2 = matrix.col((0, 1, 0))
lim = (0,50)
panel0 = sensor(matrix.col((-45, -45, 100)), d1, d2, lim, lim)
panel1 = sensor(matrix.col((-5, -45, 99)), d1, d2, lim, lim)
panel2 = sensor(matrix.col((-45, -5, 98)), d1, d2, lim, lim)
panel3 = sensor(matrix.col((-5, -5, 97)), d1, d2, lim, lim)
d = detector([panel0, panel1, panel2, panel3])
rays = [matrix.col((random.random() - 0.5,
random.random() - 0.5,
random.random() - 0.5)) for j in range(nrays)]
rpi = { }
for ver in ('matrix', 'vector'):
t0 = time.time()
rp = predictor_factory(ver)(rays, d.sensors())
rpi[ver] = rp.intersections()
for j, intersection_matrix in enumerate(rpi['matrix']):
intersection_vector = rpi['vector'][j]
assert(intersection_matrix[0] == intersection_vector[0])
print 'OK'
if __name__ == '__main__':
test_work() | rstbx/bpcx/detector_model/detector.py | from __future__ import division
#!/usr/bin/env python
from scitbx import matrix
from rstbx.bpcx import sensor
class detector:
'''An abstract class definition for X-ray detectors which are assumed to
be composed of one or more flat rectangular sensor areas. Will initially
assume that sensor areas to not shadow one another.'''
def __init__(self, sensors):
self._sensors = sensors
return
def sensors(self):
return self._sensors
class reflection_predictor:
'''A class to convert supplied diffraction vectors and detector surfaces
to impact positions as sensor number and mm in the coordinate frame
attached to that sensor. Need to return number of sensor and coordinate.
The units of mm are not enforced - it is whatever the detector matrix d
is set up with'''
def __init__(self, rays, sensors):
self._rays = rays
self._sensors = sensors
return
def intersections(self):
'''Calculate intersections for each diffracted ray in the list'''
intersections = []
for ray in self._rays:
x = self.intersect_all_sensors(ray)
if x:
intersections.append(x)
return intersections
def intersect_all_sensors(self, ray):
# basic way - we have to check the vector against each sensor in turn.
# there may be more efficient short cuts
hit = None
for j, s in enumerate(self._sensors):
x = self.intersect(ray, s)
if x:
if hit is None:
dist = (matrix.col(s.origin) + \
x[0] * matrix.col(s.dir1) + \
x[1] * matrix.col(s.dir2)).length()
hit = (j, x[0], x[1], dist)
else:
dist = (matrix.col(s.origin) + \
x[0] * matrix.col(s.dir1) + \
x[1] * matrix.col(s.dir2)).length()
if dist < hit[3]:
hit = (j, x[0], x[1], dist)
return hit
def intersect(self, ray, sensor):
'''Compute intersection of sensor with ray from frame origin, returning
none if intersection not within limits.'''
raise RuntimeError('overload me')
class reflection_predictor_thomas(reflection_predictor):
'''Implementation of reflection_predictor using David Thomas' matrix
formalism'''
def intersect(self, ray, sensor):
v = matrix.sqr(sensor.D) * ray
x1 = v[0] / v[2]
x2 = v[1] / v[2]
if x1 < sensor.lim1[0] or x1 > sensor.lim1[1]:
return None
if x2 < sensor.lim2[0] or x2 > sensor.lim2[1]:
return None
return (x1, x2)
class reflection_predictor_trivial(reflection_predictor):
'''Implementation of reflection_predictor using the vectors directly'''
def intersect(self, ray, sensor):
scale = ray.dot(matrix.col(sensor.normal))
r = (ray * sensor.distance / scale) - matrix.col(sensor.origin)
x1 = r.dot(matrix.col(sensor.dir1))
x2 = r.dot(matrix.col(sensor.dir2))
if x1 < sensor.lim1[0] or x1 > sensor.lim1[1]:
return None
if x2 < sensor.lim2[0] or x2 > sensor.lim2[1]:
return None
return (x1, x2)
def predictor_factory(selection):
'''Factory function to choose a suitable implementation of the
reflection_predictor class. This is a basic version to flesh out the API.
A more realistic version might use e.g. PHIL parameters to make the choice
and would not hard code the alternatives'''
class_choice = {
'matrix': reflection_predictor_thomas,
'vector': reflection_predictor_trivial
}.get(selection)
return class_choice
def test_all():
'''Test all features of the module using a detector composed of four
overlapping square sensors.'''
d1 = matrix.col((1, 0, 0))
d2 = matrix.col((0, 1, 0))
lim = (0,50)
panel0 = sensor(matrix.col((-45, -45, 100)), d1, d2, lim, lim)
panel1 = sensor(matrix.col((-5, -45, 99)), d1, d2, lim, lim)
panel2 = sensor(matrix.col((-45, -5, 98)), d1, d2, lim, lim)
panel3 = sensor(matrix.col((-5, -5, 97)), d1, d2, lim, lim)
d = detector([panel0, panel1, panel2, panel3])
rays = [matrix.col((0, 0, 1))]
for ver in ('matrix', 'vector'):
rp = predictor_factory(ver)
rp = rp(rays, d.sensors())
# only one ray to consider
rpi = rp.intersections()
# the closest intersection should be on panel3
assert rpi[0][0] == 3
print 'OK'
def test_work():
'''Test all features of the module using a detector composed of four
overlapping square sensors, with lots of rays.'''
import random, time
nrays = 10000
d1 = matrix.col((1, 0, 0))
d2 = matrix.col((0, 1, 0))
lim = (0,50)
panel0 = sensor(matrix.col((-45, -45, 100)), d1, d2, lim, lim)
panel1 = sensor(matrix.col((-5, -45, 99)), d1, d2, lim, lim)
panel2 = sensor(matrix.col((-45, -5, 98)), d1, d2, lim, lim)
panel3 = sensor(matrix.col((-5, -5, 97)), d1, d2, lim, lim)
d = detector([panel0, panel1, panel2, panel3])
rays = [matrix.col((random.random() - 0.5,
random.random() - 0.5,
random.random() - 0.5)) for j in range(nrays)]
rpi = { }
for ver in ('matrix', 'vector'):
t0 = time.time()
rp = predictor_factory(ver)(rays, d.sensors())
rpi[ver] = rp.intersections()
for j, intersection_matrix in enumerate(rpi['matrix']):
intersection_vector = rpi['vector'][j]
assert(intersection_matrix[0] == intersection_vector[0])
print 'OK'
if __name__ == '__main__':
test_work() | 0.742328 | 0.658555 |
cmaps = {
"Accent": [
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#beaed4",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#fdc086",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#ffff99",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#386cb0",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
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"#f0027f",
"#f0027f",
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"#f0027f",
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"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#f0027f",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#bf5b16",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666",
"#666666"
],
"Blues": [
"#f7fbff",
"#f6fafe",
"#f5f9fe",
"#f4f9fe",
"#f3f8fd",
"#f3f8fd",
"#f2f7fd",
"#f1f7fd",
"#f0f6fc",
"#eff6fc",
"#eff5fc",
"#eef5fc",
"#edf4fb",
"#ecf4fb",
"#ecf3fb",
"#ebf3fb",
"#eaf2fa",
"#e9f2fa",
"#e8f1fa",
"#e8f1fa",
"#e7f0f9",
"#e6f0f9",
"#e5eff9",
"#e4eff9",
"#e4eef8",
"#e3eef8",
"#e2edf8",
"#e1edf8",
"#e1ecf7",
"#e0ecf7",
"#dfebf7",
"#deebf7",
"#ddeaf6",
"#ddeaf6",
"#dce9f6",
"#dbe9f6",
"#dae8f5",
"#dae8f5",
"#d9e7f5",
"#d8e7f5",
"#d7e6f4",
"#d7e6f4",
"#d6e5f4",
"#d5e5f4",
"#d4e4f3",
"#d4e4f3",
"#d3e3f3",
"#d2e3f3",
"#d1e2f2",
"#d1e2f2",
"#d0e1f2",
"#cfe1f2",
"#cee0f1",
"#cee0f1",
"#cddff1",
"#ccdff1",
"#cbdef0",
"#cbdef0",
"#caddf0",
"#c9ddf0",
"#c8dcef",
"#c8dcef",
"#c7dbef",
"#c6dbef",
"#c5daee",
"#c4daee",
"#c3d9ee",
"#c1d9ed",
"#c0d8ed",
"#bfd8ec",
"#bed7ec",
"#bcd7eb",
"#bbd6eb",
"#bad6ea",
"#b9d5ea",
"#b7d4ea",
"#b6d4e9",
"#b5d3e9",
"#b4d3e8",
"#b2d2e8",
"#b1d2e7",
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"#afd1e6",
"#add0e6",
"#acd0e6",
"#abcfe5",
"#aacfe5",
"#a8cee4",
"#a7cee4",
"#a6cde3",
"#a5cde3",
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"#0f5aa3",
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"#084083",
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"#083b7b",
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"#083978",
"#083877",
"#083775",
"#083674",
"#083572",
"#083471",
"#08336f",
"#08326e",
"#08316c",
"#08306b"
],
"BrBG": [
"#543005",
"#563105",
"#583205",
"#5a3305",
"#5c3505",
"#5e3605",
"#613706",
"#633906",
"#653a06",
"#673b06",
"#693c06",
"#6c3e07",
"#6e3f07",
"#704007",
"#724207",
"#744307",
"#774408",
"#794508",
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"#7d4808",
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"#844c09",
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"#8d510a",
"#8f530c",
"#91550d",
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"#ab6e1f",
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"#af7122",
"#b17323",
"#b37524",
"#b57726",
"#b77927",
"#b97b28",
"#bb7d2a",
"#bd7f2b",
"#bf812d",
"#c08330",
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"#e0f0ed",
"#deefed",
"#dcefec",
"#daeeeb",
"#d9eeeb",
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"#d3ede9",
"#d1ece8",
"#d0ece8",
"#ceebe7",
"#ccebe6",
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"#c8eae5",
"#c7eae5",
"#c4e8e3",
"#c1e7e2",
"#bee6e0",
"#bbe5df",
"#b9e4dd",
"#b6e3dc",
"#b3e2db",
"#b0e0d9",
"#addfd8",
"#abded6",
"#a8ddd5",
"#a5dcd4",
"#a2dbd2",
"#a0dad1",
"#9dd8cf",
"#9ad7ce",
"#97d6cd",
"#94d5cb",
"#92d4ca",
"#8fd3c8",
"#8cd2c7",
"#89d0c5",
"#86cfc4",
"#84cec3",
"#81cdc1",
"#7ecbc0",
"#7bc9be",
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"#75c5ba",
"#72c3b8",
"#6fc1b6",
"#6cbfb4",
"#69bdb2",
"#67bbb0",
"#64b8ae",
"#61b6ac",
"#5eb4aa",
"#5bb2a8",
"#58b0a6",
"#55aea4",
"#52aca2",
"#4faaa0",
"#4ca79e",
"#49a59c",
"#46a39a",
"#43a198",
"#409f96",
"#3d9d94",
"#3a9b92",
"#379990",
"#35978f",
"#32958d",
"#30938b",
"#2e9189",
"#2c8f87",
"#2a8d85",
"#288b83",
"#268981",
"#24877f",
"#22857d",
"#20837b",
"#1e8179",
"#1c7f77",
"#1a7e76",
"#187c74",
"#167a72",
"#147870",
"#12766e",
"#10746c",
"#0e726a",
"#0c7068",
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"#44881f",
"#43861e",
"#41841e",
"#40821e",
"#3e801e",
"#3d7f1d",
"#3b7d1d",
"#3a7b1d",
"#38791c",
"#37771c",
"#35761c",
"#34741b",
"#32721b",
"#31701b",
"#2f6e1a",
"#2e6d1a",
"#2c6b1a",
"#2b6919",
"#296719",
"#286519",
"#276419"
],
"PuBu": [
"#fff7fb",
"#fef6fa",
"#fdf5fa",
"#fdf5fa",
"#fcf4f9",
"#fcf4f9",
"#fbf3f9",
"#faf3f9",
"#faf2f8",
"#f9f2f8",
"#f9f1f8",
"#f8f1f7",
"#f7f0f7",
"#f7f0f7",
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"#f4eef6",
"#f4edf5",
"#f3edf5",
"#f3ecf5",
"#f2ecf5",
"#f1ebf4",
"#f1ebf4",
"#f0eaf4",
"#f0eaf3",
"#efe9f3",
"#eee9f3",
"#eee8f3",
"#ede8f2",
"#ede7f2",
"#ece7f2",
"#ebe6f1",
"#ebe6f1",
"#eae5f1",
"#e9e4f0",
"#e8e4f0",
"#e7e3f0",
"#e6e2ef",
"#e5e2ef",
"#e4e1ee",
"#e3e0ee",
"#e3e0ee",
"#e2dfed",
"#e1deed",
"#e0dded",
"#dfddec",
"#dedcec",
"#dddbeb",
"#dcdbeb",
"#dcdaeb",
"#dbd9ea",
"#dad9ea",
"#d9d8ea",
"#d8d7e9",
"#d7d7e9",
"#d6d6e8",
"#d5d5e8",
"#d5d4e8",
"#d4d4e7",
"#d3d3e7",
"#d2d2e7",
"#d1d2e6",
"#d0d1e6",
"#cfd0e5",
"#ced0e5",
"#cdcfe5",
"#cbcee4",
"#cacee4",
"#c9cde4",
"#c7cde3",
"#c6cce3",
"#c5cbe3",
"#c3cbe2",
"#c2cae2",
"#c1c9e2",
"#bfc9e1",
"#bec8e1",
"#bdc8e1",
"#bbc7e0",
"#bac6e0",
"#b9c6e0",
"#b7c5df",
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"#b5c4df",
"#b4c3de",
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"#b1c2dd",
"#b0c1dd",
"#aec1dd",
"#adc0dc",
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"#a9bedb",
"#a8bedb",
"#a6bddb",
"#a5bcda",
"#a3bcda",
"#a2bbda",
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"#9fbad9",
"#9db9d8",
"#9cb9d8",
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"#91b4d5",
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"#89b1d4",
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"#4294c3",
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"#3690c0",
"#358fbf",
"#338ebf",
"#318dbe",
"#308cbe",
"#2e8bbd",
"#2d8abd",
"#2b89bc",
"#2a88bc",
"#2887bb",
"#2786bb",
"#2585ba",
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"#2182b9",
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"#1d80b8",
"#1c7fb7",
"#1a7eb7",
"#197db6",
"#177cb6",
"#167bb5",
"#147ab5",
"#1379b4",
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"#0e76b3",
"#0d75b2",
"#0b74b2",
"#0973b1",
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"#0570b0",
"#046faf",
"#046eae",
"#046eac",
"#046dab",
"#046caa",
"#046ca9",
"#046ba8",
"#046aa7",
"#0469a6",
"#0469a5",
"#0468a4",
"#0467a3",
"#0467a2",
"#0466a0",
"#04659f",
"#04659e",
"#04649d",
"#04639c",
"#04639b",
"#04629a",
"#046199",
"#046098",
"#046097",
"#045f95",
"#045e94",
"#045e93",
"#045d92",
"#045c91",
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"#045b8f",
"#045a8e",
"#045a8d",
"#03598b",
"#035889",
"#035688",
"#035586",
"#035484",
"#035383",
"#035281",
"#03517f",
"#03507e",
"#034f7c",
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"#034c77",
"#034b75",
"#034a74",
"#034972",
"#024870",
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"#02446b",
"#02436a",
"#024268",
"#024166",
"#024065",
"#023f63",
"#023e61",
"#023d60",
"#023c5e",
"#023b5c",
"#023a5b",
"#023959",
"#023858"
],
"PuBuGn": [
"#fff7fb",
"#fef6fa",
"#fdf5fa",
"#fdf5f9",
"#fcf4f9",
"#fcf3f9",
"#fbf3f8",
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"#f9f1f7",
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"#f7eef6",
"#f6edf6",
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"#f4ebf5",
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"#f3e9f4",
"#f2e9f3",
"#f1e8f3",
"#f1e7f3",
"#f0e7f2",
"#f0e6f2",
"#efe5f2",
"#eee5f1",
"#eee4f1",
"#ede3f0",
"#ede3f0",
"#ece2f0",
"#ebe1ef",
"#ebe1ef",
"#eae0ef",
"#e9e0ef",
"#e8dfee",
"#e7dfee",
"#e6deee",
"#e5deed",
"#e4dded",
"#e3dded",
"#e3dcec",
"#e2dcec",
"#e1dbec",
"#e0dbeb",
"#dfdaeb",
"#ded9eb",
"#ddd9ea",
"#dcd8ea",
"#dcd8ea",
"#dbd7ea",
"#dad7e9",
"#d9d6e9",
"#d8d6e9",
"#d7d5e8",
"#d6d5e8",
"#d5d4e8",
"#d5d4e7",
"#d4d3e7",
"#d3d3e7",
"#d2d2e6",
"#d1d1e6",
"#d0d1e6",
"#cfd0e5",
"#ced0e5",
"#cdcfe5",
"#cbcee4",
"#cacee4",
"#c9cde4",
"#c7cde3",
"#c6cce3",
"#c5cbe3",
"#c3cbe2",
"#c2cae2",
"#c1c9e2",
"#bfc9e1",
"#bec8e1",
"#bdc8e1",
"#bbc7e0",
"#bac6e0",
"#b9c6e0",
"#b7c5df",
"#b6c4df",
"#b5c4df",
"#b4c3de",
"#b2c3de",
"#b1c2dd",
"#b0c1dd",
"#aec1dd",
"#adc0dc",
"#acbfdc",
"#aabfdc",
"#a9bedb",
"#a8bedb",
"#a6bddb",
"#a5bcda",
"#a3bcda",
"#a1bbda",
"#9fbad9",
"#9dbad9",
"#9bb9d8",
"#99b9d8",
"#97b8d8",
"#95b7d7",
"#93b7d7",
"#91b6d7",
"#8fb5d6",
"#8db5d6",
"#8bb4d5",
"#89b3d5",
"#87b3d5",
"#85b2d4",
"#83b2d4",
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"#7fb0d3",
"#7db0d3",
"#7bafd2",
"#79aed2",
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"#4f9cc7",
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"#4c9bc6",
"#4a9ac6",
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"#4598c4",
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"#4195c3",
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"#3c93c2",
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"#3991c1",
"#3891c0",
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"#0d8496",
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"#0a8392",
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"#07828f",
"#05828d",
"#04818c",
"#02818a",
"#018088",
"#017f87",
"#017f85",
"#017e84",
"#017d82",
"#017d81",
"#017c7f",
"#017b7e",
"#017b7c",
"#017a7b",
"#017979",
"#017977",
"#017876",
"#017774",
"#017773",
"#017671",
"#017570",
"#01756e",
"#01746d",
"#01736b",
"#01736a",
"#017268",
"#017267",
"#017165",
"#017063",
"#017062",
"#016f60",
"#016e5f",
"#016e5d",
"#016d5c",
"#016c5a",
"#016c59",
"#016a58",
"#016956",
"#016855",
"#016754",
"#016653",
"#016452",
"#016351",
"#016250",
"#01614f",
"#01604e",
"#015f4d",
"#015d4b",
"#015c4a",
"#015b49",
"#015a48",
"#015947",
"#015746",
"#015645",
"#015544",
"#015443",
"#015342",
"#015140",
"#01503f",
"#014f3e",
"#014e3d",
"#014d3c",
"#014b3b",
"#014a3a",
"#014939",
"#014838",
"#014737",
"#014636"
],
"PuOr": [
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"#813c07",
"#833d07",
"#853e07",
"#873f07",
"#894007",
"#8b4107",
"#8d4207",
"#8f4407",
"#914507",
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"#974807",
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"#9b4a06",
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"#ab5406",
"#ad5506",
"#af5606",
"#b15706",
"#b35806",
"#b55a06",
"#b75c07",
"#b95d07",
"#ba5f08",
"#bc6109",
"#be6209",
"#c0640a",
"#c2650a",
"#c3670b",
"#c5690b",
"#c76a0c",
"#c96c0c",
"#ca6e0d",
"#cc6f0d",
"#ce710e",
"#d0730f",
"#d1740f",
"#d37610",
"#d57810",
"#d77911",
"#d87b11",
"#da7d12",
"#dc7e12",
"#de8013",
"#e08214",
"#e18417",
"#e2861a",
"#e3881d",
"#e48a20",
"#e58c23",
"#e68e26",
"#e79029",
"#e9922c",
"#ea952f",
"#eb9732",
"#ec9936",
"#ed9b39",
"#ee9d3c",
"#ef9f3f",
"#f1a142",
"#f2a345",
"#f3a548",
"#f4a84b",
"#f5aa4e",
"#f6ac51",
"#f7ae55",
"#f9b058",
"#fab25b",
"#fbb45e",
"#fcb661",
"#fdb864",
"#fdba67",
"#fdbb6b",
"#fdbd6e",
"#fdbf71",
"#fdc074",
"#fdc278",
"#fdc37b",
"#fdc57e",
"#fdc681",
"#fdc885",
"#fdca88",
"#fdcb8b",
"#fdcd8e",
"#fdce92",
"#fdd095",
"#fdd198",
"#fdd39b",
"#fdd59f",
"#fdd6a2",
"#fdd8a5",
"#fdd9a8",
"#fddbac",
"#fddcaf",
"#fddeb2",
"#fee0b6",
"#fde0b8",
"#fde1bb",
"#fde2bd",
"#fce3c0",
"#fce4c2",
"#fce5c5",
"#fce6c7",
"#fbe7ca",
"#fbe8cc",
"#fbe9cf",
"#fae9d2",
"#faead4",
"#faebd7",
"#faecd9",
"#f9eddc",
"#f9eede",
"#f9efe1",
"#f9f0e3",
"#f8f1e6",
"#f8f2e8",
"#f8f2eb",
"#f7f3ee",
"#f7f4f0",
"#f7f5f3",
"#f7f6f5",
"#f6f6f6",
"#f5f5f6",
"#f3f4f5",
"#f2f3f5",
"#f1f1f4",
"#f0f0f4",
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"#edeef3",
"#ecedf3",
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"#eaebf2",
"#e9e9f1",
"#e7e8f1",
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"#e4e5ef",
"#e2e4ef",
"#e1e3ee",
"#e0e1ee",
"#dfe0ed",
"#dedfed",
"#dcdeec",
"#dbddec",
"#dadceb",
"#d9dbeb",
"#d8daeb",
"#d6d8ea",
"#d5d6e9",
"#d3d4e8",
"#d2d2e7",
"#d0d0e6",
"#cfcee5",
"#cdcde4",
"#cccbe3",
"#cac9e2",
"#c9c7e1",
"#c7c5e0",
"#c6c3df",
"#c4c2de",
"#c3c0dd",
"#c1bedc",
"#c0bcdb",
"#bebada",
"#bdb8d9",
"#bbb6d8",
"#bab5d7",
"#b8b3d6",
"#b7b1d5",
"#b5afd4",
"#b4add3",
"#b2abd2",
"#b1a9d1",
"#afa7cf",
"#ada5ce",
"#aba3cc",
"#a9a1cb",
"#a79ec9",
"#a59cc8",
"#a39ac6",
"#a198c5",
"#9f96c3",
"#9d93c2",
"#9b91c0",
"#998fbf",
"#978dbd",
"#958bbc",
"#9388ba",
"#9186b9",
"#8f84b7",
"#8d82b6",
"#8b80b4",
"#897db3",
"#877bb1",
"#8579b0",
"#8377ae",
"#8175ad",
"#8073ac",
"#7e70aa",
"#7c6da9",
"#7a6aa7",
"#7967a6",
"#7764a4",
"#7561a3",
"#735ea2",
"#725ba0",
"#70589f",
"#6e559d",
"#6d529c",
"#6b4f9b",
"#694c99",
"#674998",
"#664696",
"#644395",
"#624094",
"#603d92",
"#5f3a91",
"#5d378f",
"#5b348e",
"#5a318c",
"#582e8b",
"#562b8a",
"#542888",
"#532686",
"#512484",
"#502382",
"#4e217f",
"#4d207d",
"#4b1e7a",
"#4a1d78",
"#481b76",
"#471a73",
"#451871",
"#43166e",
"#42156c",
"#40136a",
"#3f1267",
"#3d1065",
"#3c0f62",
"#3a0d60",
"#390c5e",
"#370a5b",
"#360959",
"#340756",
"#330654",
"#310452",
"#30034f",
"#2e014d",
"#2d004b"
],
"PuRd": [
"#f7f4f9",
"#f6f3f8",
"#f5f2f8",
"#f5f2f8",
"#f4f1f7",
"#f4f1f7",
"#f3f0f7",
"#f3eff6",
"#f2eff6",
"#f2eef6",
"#f1eef5",
"#f1edf5",
"#f0ecf5",
"#f0ecf4",
"#efebf4",
"#efebf4",
"#eeeaf3",
"#eee9f3",
"#ede9f3",
"#ede8f3",
"#ece8f2",
"#ece7f2",
"#ebe6f2",
"#ebe6f1",
"#eae5f1",
"#eae5f1",
"#e9e4f0",
"#e9e3f0",
"#e8e3f0",
"#e8e2ef",
"#e7e2ef",
"#e7e1ef",
"#e6e0ee",
"#e6dfee",
"#e5deed",
"#e5ddec",
"#e4dbec",
"#e3daeb",
"#e3d9ea",
"#e2d8ea",
"#e2d6e9",
"#e1d5e8",
"#e0d4e8",
"#e0d3e7",
"#dfd1e7",
"#dfd0e6",
"#decfe5",
"#ddcee5",
"#ddcce4",
"#dccbe3",
"#dccae3",
"#dbc9e2",
"#dbc7e1",
"#dac6e1",
"#d9c5e0",
"#d9c3df",
"#d8c2df",
"#d8c1de",
"#d7c0dd",
"#d6bedd",
"#d6bddc",
"#d5bcdb",
"#d5bbdb",
"#d4b9da",
"#d3b8d9",
"#d3b7d9",
"#d3b6d8",
"#d2b5d8",
"#d2b4d7",
"#d2b2d6",
"#d1b1d6",
"#d1b0d5",
"#d1afd5",
"#d0aed4",
"#d0add3",
"#d0abd3",
"#cfaad2",
"#cfa9d2",
"#cfa8d1",
"#cea7d0",
"#cea6d0",
"#cea4cf",
"#cda3cf",
"#cda2ce",
"#cda1cd",
"#cca0cd",
"#cc9fcc",
"#cb9ecc",
"#cb9ccb",
"#cb9bca",
"#ca9aca",
"#ca99c9",
"#ca98c9",
"#c997c8",
"#c995c7",
"#c994c7",
"#c993c6",
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],
"Spectral": [
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],
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"#f6e61f",
"#f8e621",
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],
"winter": [
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"#0002fe",
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"#0004fd",
"#0005fc",
"#0006fc",
"#0007fb",
"#0008fb",
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"#000afa",
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"#000cf9",
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"#000ff7",
"#0010f7",
"#0011f6",
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"#0014f5",
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"#0016f4",
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"#0018f3",
"#0019f2",
"#001af2",
"#001bf1",
"#001cf1",
"#001df0",
"#001ef0",
"#001fef",
"#0020ef",
"#0020ee",
"#0022ee",
"#0023ed",
"#0024ed",
"#0024ec",
"#0026ec",
"#0027eb",
"#0028eb",
"#0028ea",
"#002aea",
"#002be9",
"#002ce9",
"#002ce8",
"#002ee8",
"#002fe7",
"#0030e7",
"#0030e6",
"#0032e6",
"#0033e5",
"#0034e5",
"#0034e4",
"#0036e4",
"#0037e3",
"#0038e3",
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"#003ae2",
"#003be1",
"#003ce1",
"#003ce0",
"#003ee0",
"#003fdf",
"#0040df",
"#0041de",
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"#0044dd",
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"#0046dc",
"#0047db",
"#0048db",
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"#004bd9",
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"#00a8ab",
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"#00b0a7",
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"#00b6a3",
"#00b7a3",
"#00b8a3",
"#00b9a2",
"#00baa2",
"#00bba1",
"#00bca1",
"#00bda0",
"#00bea0",
"#00bf9f",
"#00c09f",
"#00c19e",
"#00c29e",
"#00c39d",
"#00c39d",
"#00c59c",
"#00c69c",
"#00c79b",
"#00c89b",
"#00c99a",
"#00ca9a",
"#00cb99",
"#00cc99",
"#00cd98",
"#00ce98",
"#00cf97",
"#00d097",
"#00d196",
"#00d296",
"#00d395",
"#00d395",
"#00d594",
"#00d693",
"#00d793",
"#00d893",
"#00d992",
"#00da92",
"#00db91",
"#00dc91",
"#00dd90",
"#00de90",
"#00df8f",
"#00e08f",
"#00e18e",
"#00e28e",
"#00e38d",
"#00e38d",
"#00e58c",
"#00e68c",
"#00e78b",
"#00e88b",
"#00e98a",
"#00ea8a",
"#00eb89",
"#00ec89",
"#00ed88",
"#00ee88",
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"#00f385",
"#00f385",
"#00f584",
"#00f683",
"#00f783",
"#00f883",
"#00f982",
"#00fa82",
"#00fb81",
"#00fc81",
"#00fd80",
"#00fe80",
"#00ff7f"
]
} | vedo/cmaps.py | cmaps = {
"Accent": [
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
"#7fc97f",
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"#318dbe",
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"#2d8abd",
"#2b89bc",
"#2a88bc",
"#2887bb",
"#2786bb",
"#2585ba",
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"#2182b9",
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"#1a7eb7",
"#197db6",
"#177cb6",
"#167bb5",
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"#0e76b3",
"#0d75b2",
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"#0872b1",
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"#046eae",
"#046eac",
"#046dab",
"#046caa",
"#046ca9",
"#046ba8",
"#046aa7",
"#0469a6",
"#0469a5",
"#0468a4",
"#0467a3",
"#0467a2",
"#0466a0",
"#04659f",
"#04659e",
"#04649d",
"#04639c",
"#04639b",
"#04629a",
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"#045f95",
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"#045d92",
"#045c91",
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"#045b8f",
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"#035484",
"#035383",
"#035281",
"#03517f",
"#03507e",
"#034f7c",
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"#034a74",
"#034972",
"#024870",
"#02466f",
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"#02446b",
"#02436a",
"#024268",
"#024166",
"#024065",
"#023f63",
"#023e61",
"#023d60",
"#023c5e",
"#023b5c",
"#023a5b",
"#023959",
"#023858"
],
"PuBuGn": [
"#fff7fb",
"#fef6fa",
"#fdf5fa",
"#fdf5f9",
"#fcf4f9",
"#fcf3f9",
"#fbf3f8",
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"#f6edf6",
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"#f1e8f3",
"#f1e7f3",
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"#f0e6f2",
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"#eee5f1",
"#eee4f1",
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"#ede3f0",
"#ece2f0",
"#ebe1ef",
"#ebe1ef",
"#eae0ef",
"#e9e0ef",
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"#e7dfee",
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"#e5deed",
"#e4dded",
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"#ddd9ea",
"#dcd8ea",
"#dcd8ea",
"#dbd7ea",
"#dad7e9",
"#d9d6e9",
"#d8d6e9",
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"#d6d5e8",
"#d5d4e8",
"#d5d4e7",
"#d4d3e7",
"#d3d3e7",
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"#d1d1e6",
"#d0d1e6",
"#cfd0e5",
"#ced0e5",
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"#cacee4",
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"#c6cce3",
"#c5cbe3",
"#c3cbe2",
"#c2cae2",
"#c1c9e2",
"#bfc9e1",
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"#bac6e0",
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"#b5c4df",
"#b4c3de",
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"#b0c1dd",
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"#aabfdc",
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"#a8bedb",
"#a6bddb",
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"#a3bcda",
"#a1bbda",
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"#9dbad9",
"#9bb9d8",
"#99b9d8",
"#97b8d8",
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"#248bae",
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"#017b7c",
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"#014d3c",
"#014b3b",
"#014a3a",
"#014939",
"#014838",
"#014737",
"#014636"
],
"PuOr": [
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"#813c07",
"#833d07",
"#853e07",
"#873f07",
"#894007",
"#8b4107",
"#8d4207",
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"#fdc278",
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"#fdd6a2",
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"#8073ac",
"#7e70aa",
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"#7a6aa7",
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"#7764a4",
"#7561a3",
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"#5d378f",
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"#481b76",
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"#451871",
"#43166e",
"#42156c",
"#40136a",
"#3f1267",
"#3d1065",
"#3c0f62",
"#3a0d60",
"#390c5e",
"#370a5b",
"#360959",
"#340756",
"#330654",
"#310452",
"#30034f",
"#2e014d",
"#2d004b"
],
"PuRd": [
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"#f6f3f8",
"#f5f2f8",
"#f5f2f8",
"#f4f1f7",
"#f4f1f7",
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"#e4dbec",
"#e3daeb",
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"#e2d8ea",
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"#e0d4e8",
"#e0d3e7",
"#dfd1e7",
"#dfd0e6",
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"#ddcee5",
"#ddcce4",
"#dccbe3",
"#dccae3",
"#dbc9e2",
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"#d8c1de",
"#d7c0dd",
"#d6bedd",
"#d6bddc",
"#d5bcdb",
"#d5bbdb",
"#d4b9da",
"#d3b8d9",
"#d3b7d9",
"#d3b6d8",
"#d2b5d8",
"#d2b4d7",
"#d2b2d6",
"#d1b1d6",
"#d1b0d5",
"#d1afd5",
"#d0aed4",
"#d0add3",
"#d0abd3",
"#cfaad2",
"#cfa9d2",
"#cfa8d1",
"#cea7d0",
"#cea6d0",
"#cea4cf",
"#cda3cf",
"#cda2ce",
"#cda1cd",
"#cca0cd",
"#cc9fcc",
"#cb9ecc",
"#cb9ccb",
"#cb9bca",
"#ca9aca",
"#ca99c9",
"#ca98c9",
"#c997c8",
"#c995c7",
"#c994c7",
"#c993c6",
"#c991c6",
"#ca90c5",
"#cb8fc4",
"#cc8dc3",
"#cc8cc3",
"#cd8ac2",
"#ce89c1",
"#ce87c0",
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"#d084bf",
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"#d578b9",
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"#d774b7",
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"#9d0144",
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"#8e003c",
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"#7e002f",
"#7c002e",
"#7a002d",
"#79002c",
"#77002b",
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"#740029",
"#730028",
"#710026",
"#700025",
"#6e0024",
"#6d0023",
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"#680020",
"#67001f"
],
"Purples": [
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"#f0eef5",
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],
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],
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"#0003fd",
"#0004fd",
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]
} | 0.222785 | 0.235636 |
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm, ContactForm
from gpsschool.models import Teacher, Student
from .models import ContactUs
def register(request):
if request.method == 'POST':
form = UserRegisterForm(request.POST)
if form.is_valid():
form.save()
username = form.cleaned_data.get('username')
messages.success(request, f'Your account has been created! You are now able to log in')
return redirect('login')
else:
form = UserRegisterForm()
return render(request, 'users/register.html', {'form': form})
@login_required
def profile(request):
context = {}
if hasattr(request.user, 'teacher'):
obj = Teacher.objects.filter(user=request.user).first()
context = {'object': obj, 'user_type': {'teacher': True, 'student':False,}}
elif hasattr(request.user, 'student'):
obj = Student.objects.filter(user=request.user).first()
context = {'object': obj, 'user_type': {'teacher': False, 'student':True}}
return render(request, 'users/profile.html', context)
@login_required
def profile(request):
is_teacher = False
if request.method == 'POST':
u_form = UserUpdateForm(request.POST, instance=request.user)
p_form = ProfileUpdateForm(request.POST,
request.FILES,
instance=request.user.profile)
if u_form.is_valid() and p_form.is_valid():
u_form.save()
p_form.save()
messages.success(request, f'Your account has been updated!')
return redirect('profile')
else:
u_form = UserUpdateForm(instance=request.user)
p_form = ProfileUpdateForm(instance=request.user.profile)
if hasattr(request.user, 'teacher'):
is_teacher = True
context = {
'u_form': u_form,
'p_form': p_form,
'is_teacher': is_teacher,
}
return render(request, 'users/profile.html', context)
def contact_view(request):
if request.method == 'POST':
form = ContactForm(request.POST)
if form.is_valid():
ContactUs.objects.create(name=request.POST['name'],
email=request.POST['email'],
message=request.POST['message']
)
messages.success(request, f'Your message has been sent. We would contact you as soon as possible!')
form = ContactForm()
else:
form = ContactForm()
return render(request, 'gpsfrontend/contact.html', { 'form': form }) | users/views.py | from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm, ContactForm
from gpsschool.models import Teacher, Student
from .models import ContactUs
def register(request):
if request.method == 'POST':
form = UserRegisterForm(request.POST)
if form.is_valid():
form.save()
username = form.cleaned_data.get('username')
messages.success(request, f'Your account has been created! You are now able to log in')
return redirect('login')
else:
form = UserRegisterForm()
return render(request, 'users/register.html', {'form': form})
@login_required
def profile(request):
context = {}
if hasattr(request.user, 'teacher'):
obj = Teacher.objects.filter(user=request.user).first()
context = {'object': obj, 'user_type': {'teacher': True, 'student':False,}}
elif hasattr(request.user, 'student'):
obj = Student.objects.filter(user=request.user).first()
context = {'object': obj, 'user_type': {'teacher': False, 'student':True}}
return render(request, 'users/profile.html', context)
@login_required
def profile(request):
is_teacher = False
if request.method == 'POST':
u_form = UserUpdateForm(request.POST, instance=request.user)
p_form = ProfileUpdateForm(request.POST,
request.FILES,
instance=request.user.profile)
if u_form.is_valid() and p_form.is_valid():
u_form.save()
p_form.save()
messages.success(request, f'Your account has been updated!')
return redirect('profile')
else:
u_form = UserUpdateForm(instance=request.user)
p_form = ProfileUpdateForm(instance=request.user.profile)
if hasattr(request.user, 'teacher'):
is_teacher = True
context = {
'u_form': u_form,
'p_form': p_form,
'is_teacher': is_teacher,
}
return render(request, 'users/profile.html', context)
def contact_view(request):
if request.method == 'POST':
form = ContactForm(request.POST)
if form.is_valid():
ContactUs.objects.create(name=request.POST['name'],
email=request.POST['email'],
message=request.POST['message']
)
messages.success(request, f'Your message has been sent. We would contact you as soon as possible!')
form = ContactForm()
else:
form = ContactForm()
return render(request, 'gpsfrontend/contact.html', { 'form': form }) | 0.294012 | 0.067731 |
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
import numpy as np
# ----------------------------------------------------------------------
# Methods
# ----------------------------------------------------------------------
## @ingroup Methods-Geometry-Three_Dimensional
def estimate_naca_4_series_internal_volume(wing, m, p):
"""Computes the volume of a wing with NACA 4-series airfoils.
Assumptions:
Wing has constant thickness to chord along the span
Front spar is at 10%chord and rear spar is at 60% chord
Source:
Wikipedia, based on <NAME> (2003). An introduction to theoretical and
computational aerodynamics. Dover.
Inputs:
m [-] percent camber (.1 is 10%)
p [-] location of max camber (.1 is 10% along chord)
wing.chords.
root [m]
tip [m]
wing.taper [-]
wing.thickness_to_chord [-]
wing.spans.projected [m]
chord_length [m]
Outputs:
volume [m^3]
Properties Used:
N/A
"""
#unpack inputs
t_c = wing.thickness_to_chord
taper = wing.taper
rc = wing.chords.root
tc = wing.chords.tip
span = wing.spans.projected
yc_front_spar_root = m*(.1*rc/p**2.)*(2*p-.1) #front spar is 10%chords
yc_rear_spar_root = m*((rc-.6*rc)/(1-p)**2.)*(1+.6-2*p)
yc_front_spar_tip = m*(.1*tc/p**2.)*(2*p-.1)
yc_rear_spar_tip = m*((tc-.6*tc)/(1-p)**2.)*(1+.6-2*p)
dy_dx_front_spar = (2.*m/p**2.)*(p-.1)
dy_dx_rear_spar = (2.*m/(1-p)**2.)*(p-.6)
theta_front_spar=np.arctan(dy_dx_front_spar)
theta_rear_spar=np.arctan(dy_dx_rear_spar)
x_front_spar_root = .1*rc
x_rear_spar_root = .6*rc
yt_front_spar_root = 5*t_c*rc*(.2969*(.1**.5)-.126*.1-.3516*.1**2+.2843*.1**3.-.1015*.1**4.)
yt_rear_spar_root = 5*t_c*rc*(.2969*(.6**.5)-.126*.6-.3516*.6**2.+.2843*.6**3.-.1015*.6**4.)
yt_front_spar_tip = 5*t_c*tc*(.2969*(.1**.5)-.126*.1-.3516*.1**2+.2843*.1**3.-.1015*.1**4.)
yt_rear_spar_tip = 5*t_c*tc*(.2969*(.6**.5)-.126*.6-.3516*.6**2.+.2843*.6**3.-.1015*.6**4.)
yu_front_spar_root = yc_front_spar_root+yt_front_spar_root*np.cos(theta_front_spar)
yl_front_spar_root = yc_front_spar_root-yt_front_spar_root*np.cos(theta_front_spar)
yu_rear_spar_root = yc_rear_spar_root+yt_rear_spar_root*np.cos(theta_rear_spar)
yl_rear_spar_root = yc_rear_spar_root-yt_rear_spar_root*np.cos(theta_rear_spar)
yu_front_spar_tip = yc_front_spar_tip+yt_front_spar_tip*np.cos(theta_front_spar)
yl_front_spar_tip = yc_front_spar_tip-yt_front_spar_tip*np.cos(theta_front_spar)
yu_rear_spar_tip = yc_rear_spar_tip+yt_rear_spar_tip*np.cos(theta_rear_spar)
yl_rear_spar_tip = yc_rear_spar_tip-yt_rear_spar_tip*np.cos(theta_rear_spar)
#create line between root and tip points
slopeu_front_spar = (yu_front_spar_root-yu_front_spar_tip)/(span/2.)
slopel_front_spar = (yl_front_spar_root-yl_front_spar_tip)/(span/2.)
slopeu_rear_spar = (yu_rear_spar_root-yu_rear_spar_tip)/(span/2.)
slopel_rear_spar = (yl_rear_spar_root-yl_rear_spar_tip)/(span/2.)
yu_front_spar_mid = (span/4.)*slopeu_front_spar+yu_front_spar_tip
yl_front_spar_mid = (span/4.)*slopeu_front_spar+yl_front_spar_tip
yu_rear_spar_mid = (span/4.)*slopeu_rear_spar+yu_rear_spar_tip
yl_rear_spar_mid = (span/4.)*slopel_rear_spar+yl_rear_spar_tip
slope_chord = (rc-tc)/(span/2.)
mid_chord = slope_chord*(span/4.)+tc
Aroot = ((yu_front_spar_root-yl_front_spar_root)+(yu_rear_spar_root-yl_rear_spar_root))*(rc*(.6-.1))/2.
Atip = ((yu_front_spar_tip-yl_front_spar_tip)+(yu_rear_spar_tip-yl_rear_spar_tip))*(tc*(.6-.1))/2.
Amid = ((yu_front_spar_mid-yl_front_spar_mid)+(yu_rear_spar_mid-yl_rear_spar_mid))*(mid_chord*(.6-.1))/2.
volume = 2*(span/12.)*(Aroot+4*(Amid)+Atip) #integrate a side and multiply by two
return volume | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Geometry/Three_Dimensional/estimate_naca_4_series_internal_volume.py |
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
import numpy as np
# ----------------------------------------------------------------------
# Methods
# ----------------------------------------------------------------------
## @ingroup Methods-Geometry-Three_Dimensional
def estimate_naca_4_series_internal_volume(wing, m, p):
"""Computes the volume of a wing with NACA 4-series airfoils.
Assumptions:
Wing has constant thickness to chord along the span
Front spar is at 10%chord and rear spar is at 60% chord
Source:
Wikipedia, based on <NAME> (2003). An introduction to theoretical and
computational aerodynamics. Dover.
Inputs:
m [-] percent camber (.1 is 10%)
p [-] location of max camber (.1 is 10% along chord)
wing.chords.
root [m]
tip [m]
wing.taper [-]
wing.thickness_to_chord [-]
wing.spans.projected [m]
chord_length [m]
Outputs:
volume [m^3]
Properties Used:
N/A
"""
#unpack inputs
t_c = wing.thickness_to_chord
taper = wing.taper
rc = wing.chords.root
tc = wing.chords.tip
span = wing.spans.projected
yc_front_spar_root = m*(.1*rc/p**2.)*(2*p-.1) #front spar is 10%chords
yc_rear_spar_root = m*((rc-.6*rc)/(1-p)**2.)*(1+.6-2*p)
yc_front_spar_tip = m*(.1*tc/p**2.)*(2*p-.1)
yc_rear_spar_tip = m*((tc-.6*tc)/(1-p)**2.)*(1+.6-2*p)
dy_dx_front_spar = (2.*m/p**2.)*(p-.1)
dy_dx_rear_spar = (2.*m/(1-p)**2.)*(p-.6)
theta_front_spar=np.arctan(dy_dx_front_spar)
theta_rear_spar=np.arctan(dy_dx_rear_spar)
x_front_spar_root = .1*rc
x_rear_spar_root = .6*rc
yt_front_spar_root = 5*t_c*rc*(.2969*(.1**.5)-.126*.1-.3516*.1**2+.2843*.1**3.-.1015*.1**4.)
yt_rear_spar_root = 5*t_c*rc*(.2969*(.6**.5)-.126*.6-.3516*.6**2.+.2843*.6**3.-.1015*.6**4.)
yt_front_spar_tip = 5*t_c*tc*(.2969*(.1**.5)-.126*.1-.3516*.1**2+.2843*.1**3.-.1015*.1**4.)
yt_rear_spar_tip = 5*t_c*tc*(.2969*(.6**.5)-.126*.6-.3516*.6**2.+.2843*.6**3.-.1015*.6**4.)
yu_front_spar_root = yc_front_spar_root+yt_front_spar_root*np.cos(theta_front_spar)
yl_front_spar_root = yc_front_spar_root-yt_front_spar_root*np.cos(theta_front_spar)
yu_rear_spar_root = yc_rear_spar_root+yt_rear_spar_root*np.cos(theta_rear_spar)
yl_rear_spar_root = yc_rear_spar_root-yt_rear_spar_root*np.cos(theta_rear_spar)
yu_front_spar_tip = yc_front_spar_tip+yt_front_spar_tip*np.cos(theta_front_spar)
yl_front_spar_tip = yc_front_spar_tip-yt_front_spar_tip*np.cos(theta_front_spar)
yu_rear_spar_tip = yc_rear_spar_tip+yt_rear_spar_tip*np.cos(theta_rear_spar)
yl_rear_spar_tip = yc_rear_spar_tip-yt_rear_spar_tip*np.cos(theta_rear_spar)
#create line between root and tip points
slopeu_front_spar = (yu_front_spar_root-yu_front_spar_tip)/(span/2.)
slopel_front_spar = (yl_front_spar_root-yl_front_spar_tip)/(span/2.)
slopeu_rear_spar = (yu_rear_spar_root-yu_rear_spar_tip)/(span/2.)
slopel_rear_spar = (yl_rear_spar_root-yl_rear_spar_tip)/(span/2.)
yu_front_spar_mid = (span/4.)*slopeu_front_spar+yu_front_spar_tip
yl_front_spar_mid = (span/4.)*slopeu_front_spar+yl_front_spar_tip
yu_rear_spar_mid = (span/4.)*slopeu_rear_spar+yu_rear_spar_tip
yl_rear_spar_mid = (span/4.)*slopel_rear_spar+yl_rear_spar_tip
slope_chord = (rc-tc)/(span/2.)
mid_chord = slope_chord*(span/4.)+tc
Aroot = ((yu_front_spar_root-yl_front_spar_root)+(yu_rear_spar_root-yl_rear_spar_root))*(rc*(.6-.1))/2.
Atip = ((yu_front_spar_tip-yl_front_spar_tip)+(yu_rear_spar_tip-yl_rear_spar_tip))*(tc*(.6-.1))/2.
Amid = ((yu_front_spar_mid-yl_front_spar_mid)+(yu_rear_spar_mid-yl_rear_spar_mid))*(mid_chord*(.6-.1))/2.
volume = 2*(span/12.)*(Aroot+4*(Amid)+Atip) #integrate a side and multiply by two
return volume | 0.691393 | 0.490053 |
import os
import argparse
import subprocess
import time
import shlex
GRID_JOBS_OPTION="--grid-jobs"
STARTUP_TIME = 5 * 60
MAX_SLEEP = 40 * 60
def process_ps_stdout(stdout):
""" Process the stdout of the ps command """
return [i.split()[0] for i in filter(lambda x: x, stdout.decode("utf-8").split("\n")[1:])]
def get_children(pid):
""" Get the pids of the children of this pid """
try:
stdout=subprocess.check_output(["ps","--ppid",pid,"-o","pid"])
except subprocess.CalledProcessError:
stdout=[]
pids=[]
if stdout:
pids=process_ps_stdout(stdout)
return pids
def traverse_tree(pid,nodes):
""" Get all of the children of the pid by walking the tree """
for child in get_children(pid):
nodes.update(traverse_tree(child,nodes))
nodes.add(pid)
return nodes
def get_pids(pid):
""" Get the children and their children from parent pid """
pids=set([pid])
for child in get_children(pid):
pids.update(traverse_tree(child,pids))
return list(pids)
def main():
# gather the arguments
parser = argparse.ArgumentParser(
description= "workflow burst wrapper",
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"--workflow-command",
help="the workflow command to run \n[REQUIRED]",
metavar="<biobakery_workflows wmgx>",
required=True)
parser.add_argument(
"--max-sleep",
help="the total seconds to wait before terminating the workflow",
type=int,
default=MAX_SLEEP)
args = parser.parse_args()
# capture the total number of grid jobs
command=shlex.split(args.workflow_command)
try:
grid_jobs = command[command.index(GRID_JOBS_OPTION)+1]
sleep_time = int(grid_jobs) * 5 + STARTUP_TIME
if sleep_time > MAX_SLEEP :
sleep_time = MAX_SLEEP
except ValueError, IndexError:
print("Unable to determine grid jobs using default sleep setting")
sleep_time = MAX_SLEEP
# set max sleep if decided by the user
if args.max_sleep != MAX_SLEEP:
sleep_time = args.max_sleep
# run the workflow and get the pid
print("Starting workflow and then will wait for {} seconds".format(sleep_time))
print(args.workflow_command)
process=subprocess.Popen(args.workflow_command,shell=True)
time.sleep(sleep_time)
print("Stopping workflow. Please run '$ sacct' to track your submitted jobs.")
# get all pids of children
pids = get_pids(str(process.pid))
process.kill()
for id in pids:
subprocess.call(["kill","-9",str(id)])
if __name__ == "__main__":
main() | biobakery_workflows/scripts/burst_workflow.py |
import os
import argparse
import subprocess
import time
import shlex
GRID_JOBS_OPTION="--grid-jobs"
STARTUP_TIME = 5 * 60
MAX_SLEEP = 40 * 60
def process_ps_stdout(stdout):
""" Process the stdout of the ps command """
return [i.split()[0] for i in filter(lambda x: x, stdout.decode("utf-8").split("\n")[1:])]
def get_children(pid):
""" Get the pids of the children of this pid """
try:
stdout=subprocess.check_output(["ps","--ppid",pid,"-o","pid"])
except subprocess.CalledProcessError:
stdout=[]
pids=[]
if stdout:
pids=process_ps_stdout(stdout)
return pids
def traverse_tree(pid,nodes):
""" Get all of the children of the pid by walking the tree """
for child in get_children(pid):
nodes.update(traverse_tree(child,nodes))
nodes.add(pid)
return nodes
def get_pids(pid):
""" Get the children and their children from parent pid """
pids=set([pid])
for child in get_children(pid):
pids.update(traverse_tree(child,pids))
return list(pids)
def main():
# gather the arguments
parser = argparse.ArgumentParser(
description= "workflow burst wrapper",
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"--workflow-command",
help="the workflow command to run \n[REQUIRED]",
metavar="<biobakery_workflows wmgx>",
required=True)
parser.add_argument(
"--max-sleep",
help="the total seconds to wait before terminating the workflow",
type=int,
default=MAX_SLEEP)
args = parser.parse_args()
# capture the total number of grid jobs
command=shlex.split(args.workflow_command)
try:
grid_jobs = command[command.index(GRID_JOBS_OPTION)+1]
sleep_time = int(grid_jobs) * 5 + STARTUP_TIME
if sleep_time > MAX_SLEEP :
sleep_time = MAX_SLEEP
except ValueError, IndexError:
print("Unable to determine grid jobs using default sleep setting")
sleep_time = MAX_SLEEP
# set max sleep if decided by the user
if args.max_sleep != MAX_SLEEP:
sleep_time = args.max_sleep
# run the workflow and get the pid
print("Starting workflow and then will wait for {} seconds".format(sleep_time))
print(args.workflow_command)
process=subprocess.Popen(args.workflow_command,shell=True)
time.sleep(sleep_time)
print("Stopping workflow. Please run '$ sacct' to track your submitted jobs.")
# get all pids of children
pids = get_pids(str(process.pid))
process.kill()
for id in pids:
subprocess.call(["kill","-9",str(id)])
if __name__ == "__main__":
main() | 0.40251 | 0.147647 |
from __future__ import unicode_literals
import json
from django.contrib.contenttypes.models import ContentType
from django.contrib.sessions.models import Session
from django.db import models
from django.db.models import Count
from django.db.models import When, Case
from django.utils.translation import ugettext_lazy as _,ugettext
from djadmin import settings
LIST_PAGE, FORM_PAGE, = 0, 1
AUTH_USER_MODEL = settings.AUTH_USER_MODEL
class Visitor(models.Model):
"""
It will store information about user when logged in using django admin
"""
name = models.ForeignKey(AUTH_USER_MODEL, verbose_name=_('User'), null=True, on_delete=models.CASCADE)
city = models.CharField(_('City'), max_length=255, null=True)
state = models.CharField(_('State'), max_length=50, null=True)
country = models.CharField(_('Country'), max_length=50, null=True)
visit_datetime = models.DateTimeField(_('Login Date Time'), auto_now=True)
browser = models.CharField(_('Browser'), max_length=30, null=True)
browser_version = models.CharField(_('Browser Version'), max_length=20, null=True)
ipaddress = models.CharField(_('IP Address'), max_length=100, null=True)
os_info = models.CharField(_('OS Information'), max_length=30, null=True)
os_info_version = models.CharField(_('OS Version'), max_length=20, null=True)
device_type = models.CharField(_('Device Type'), max_length=20,
null=True)
device_name = models.CharField(_('Device Name'), max_length=20, null=True)
device_name_brand = models.CharField(_('Device Brand Name'), max_length=20, null=True)
device_name_model = models.CharField(_('Device Model Name'), max_length=20, null=True)
unique_computer_processor = models.CharField(_('Computer Processor'), max_length=255, null=True)
session = models.ForeignKey(Session, verbose_name=_('Session'), null=True, blank=True, on_delete=models.SET_NULL)
latitude = models.DecimalField(_('Latitude'), max_digits=9, decimal_places=6, null=True)
longitude = models.DecimalField(_('Longitude'), max_digits=9, decimal_places=6, null=True)
http_referer = models.URLField(_('HTTP_REFERER URL'), null=True, blank=True)
request_url = models.URLField(_('Request URL'), null=True)
class Meta:
ordering = ['visit_datetime']
verbose_name = _("visitor")
verbose_name_plural = _("visitors")
def __str__(self):
return self.os_info
@staticmethod
def get_visitors(field_name):
"""
It will provide distinct field value's according to any given field and
also provide count of repeat value of field.
:param field_name:
:return:
"""
return Visitor.objects.values(field_name).annotate(count=Count('id')).order_by(field_name)
class DjadminField(models.Model):
"""
It will store field's related information about admin registered
model that inherit 'DjadminMixin' class.
"""
name = models.CharField(_('Field Name'), max_length=255)
type = models.CharField(_('Field Type'), max_length=30)
model = models.CharField(_('Model Name'), max_length=50)
depth = models.IntegerField(_('Field Depth'))
foreignkey_model = models.CharField(_('Foreign Key Model Name'), max_length=50, null=True, blank=True)
class Meta:
db_table = 'djadmin_field'
verbose_name = _('Djadmin Field')
verbose_name_plural = _('Djadmin Fields')
def __str__(self):
return self.name
class DjadminModelSetting(models.Model):
"""
It will store Model information that inherit 'DjadminMixin' class
This model entry work dynamically. When any admin registerd model inherit mentions class
then this model automatic store information about model's.
Note: When you remove inherit class from admin model then model stored entry will be deleted automatically
"""
model = models.CharField(_('Model Name'), max_length=50)
app_label = models.CharField(_('Model App Label Name'), max_length=50)
list_display = models.ManyToManyField(DjadminField,
verbose_name=_("List Display"),
related_name='list_display',
help_text=_("Set list_display to control which fields are displayed "
"on the change list page of the admin."),
blank=True)
list_display_links = models.ManyToManyField(DjadminField,
verbose_name=_("List Display Link"),
related_name='list_display_links',
blank=True,
help_text=_("Use list_display_links to control if and which fields "
"in list_display should be linked to the change"
" list page for an object."))
list_filter = models.ManyToManyField(DjadminField,
verbose_name=_("List Filter"),
related_name='list_filter',
blank=True,
help_text=_("Set list_filter to activate filters in the right sidebar of"
" the change list page of the admin"))
list_per_page = models.IntegerField(_('List Per Page'),
null=True,
blank=True,
help_text=_("Set list_per_page to control how many items appear on each"
" paginated admin change list page."))
list_max_show_all = models.IntegerField(_('List Max Show All'),
null=True,
blank=True,
help_text=_("Set list_max_show_all to control how many items can "
"appear on a 'Show all' admin change list page."))
list_editable = models.ManyToManyField(DjadminField,
verbose_name=_("List Editable"),
related_name='list_editable',
blank=True,
help_text=_("Set list_editable to a list of field names on the model"
" which will allow editing on the change list page."))
search_fields = models.ManyToManyField(DjadminField,
verbose_name=_("Search Fields"),
related_name='search_fields',
blank=True,
help_text=_("Set search_fields to enable a search box on the admin"
" change list page."))
date_hierarchy = models.ForeignKey(DjadminField,
related_name='date_hierarchy',
blank=True,
null=True,
verbose_name=_('Date Hierarchy'),
help_text=_("Set date_hierarchy to the name of a DateField or DateTimeField"
" in your model, and the change list page will include a date-based"
" drilldown navigation by that field."),on_delete=models.CASCADE)
actions_on_top = models.BooleanField(_('Actions on Top'),
default=True,
help_text=_('Controls where on the page the actions bar appears'))
actions_on_bottom = models.BooleanField(_('Actions on Bottom'),
default=False)
has_add_permission = models.BooleanField(_('Has Add Permission?'), default=True)
has_change_permission = models.BooleanField(_('Has Change Permission?'), default=True)
has_delete_permission = models.BooleanField(_('Has Delete Permission?'), default=True)
# 2) Show all inline form list with manytomany of particular model
# 3)number of forms in inline
# extra max_num min_num
class Meta:
db_table = 'djadmin_model_setting'
ordering = ['model']
verbose_name = _('Djadmin Model Setting')
verbose_name_plural = _('Djadmin Model Settings')
def __unicode__(self):
return self.model
class DjadminCard(models.Model):
LOCATION_CHOICES = (
(LIST_PAGE, _('LIST PAGE')),
(FORM_PAGE, _('FORM PAGE')),
)
model = models.ForeignKey(DjadminModelSetting, on_delete=models.CASCADE)
name = models.CharField(_('Name of Card'), max_length=255)
html = models.TextField(_('HTML Code'))
location = models.SmallIntegerField(_('Select Location'),
choices=LOCATION_CHOICES,
help_text=_('It will help to show this card on selected '
'location for this model'))
date_created = models.DateTimeField(auto_now_add=True)
class Meta:
ordering = ['date_created']
verbose_name = _('Djadmin Card')
verbose_name_plural = _('Djadmin Cards')
def __str__(self):
return self.name
class Sortable(models.Model):
"""
It will store django admin changelist page row's pk.
But It will store when admin change any row, Otherwise it will not store default changelist
row's pk. It also provide reset to sortable from icon in table head tag.
"""
model = models.ForeignKey(ContentType, verbose_name=_('Model'), on_delete=models.CASCADE)
sort_array = models.TextField(_('Model Sortable Array'))
class Meta:
verbose_name = _('Sortable Model')
verbose_name_plural = _('Sortable Models')
def __str__(self):
return self.model.model
@property
def get_list(self):
"""
It will convert string list to int list
['1', '2', '3'] -> [1, 2, 3]
:return list:
"""
model_id_list = []
for model_id in json.loads(self.sort_array):
model_id_list.append(int(model_id))
return model_id_list
@staticmethod
def get_sortable_row(model, queryset):
"""
It will sort queryset(admin registered models) according to django admin changelist page.
:param model:
:param queryset:
:return queryset:
"""
model = ContentType.objects.get(model=model)
try:
sort_model = Sortable.objects.get(model=model)
preserved = Case(*[When(pk=pk, then=pos) for pos, pk in enumerate(sort_model.get_list)])
queryset = queryset.order_by(preserved)
except Sortable.DoesNotExist:
pass
return queryset | djadmin/models.py | from __future__ import unicode_literals
import json
from django.contrib.contenttypes.models import ContentType
from django.contrib.sessions.models import Session
from django.db import models
from django.db.models import Count
from django.db.models import When, Case
from django.utils.translation import ugettext_lazy as _,ugettext
from djadmin import settings
LIST_PAGE, FORM_PAGE, = 0, 1
AUTH_USER_MODEL = settings.AUTH_USER_MODEL
class Visitor(models.Model):
"""
It will store information about user when logged in using django admin
"""
name = models.ForeignKey(AUTH_USER_MODEL, verbose_name=_('User'), null=True, on_delete=models.CASCADE)
city = models.CharField(_('City'), max_length=255, null=True)
state = models.CharField(_('State'), max_length=50, null=True)
country = models.CharField(_('Country'), max_length=50, null=True)
visit_datetime = models.DateTimeField(_('Login Date Time'), auto_now=True)
browser = models.CharField(_('Browser'), max_length=30, null=True)
browser_version = models.CharField(_('Browser Version'), max_length=20, null=True)
ipaddress = models.CharField(_('IP Address'), max_length=100, null=True)
os_info = models.CharField(_('OS Information'), max_length=30, null=True)
os_info_version = models.CharField(_('OS Version'), max_length=20, null=True)
device_type = models.CharField(_('Device Type'), max_length=20,
null=True)
device_name = models.CharField(_('Device Name'), max_length=20, null=True)
device_name_brand = models.CharField(_('Device Brand Name'), max_length=20, null=True)
device_name_model = models.CharField(_('Device Model Name'), max_length=20, null=True)
unique_computer_processor = models.CharField(_('Computer Processor'), max_length=255, null=True)
session = models.ForeignKey(Session, verbose_name=_('Session'), null=True, blank=True, on_delete=models.SET_NULL)
latitude = models.DecimalField(_('Latitude'), max_digits=9, decimal_places=6, null=True)
longitude = models.DecimalField(_('Longitude'), max_digits=9, decimal_places=6, null=True)
http_referer = models.URLField(_('HTTP_REFERER URL'), null=True, blank=True)
request_url = models.URLField(_('Request URL'), null=True)
class Meta:
ordering = ['visit_datetime']
verbose_name = _("visitor")
verbose_name_plural = _("visitors")
def __str__(self):
return self.os_info
@staticmethod
def get_visitors(field_name):
"""
It will provide distinct field value's according to any given field and
also provide count of repeat value of field.
:param field_name:
:return:
"""
return Visitor.objects.values(field_name).annotate(count=Count('id')).order_by(field_name)
class DjadminField(models.Model):
"""
It will store field's related information about admin registered
model that inherit 'DjadminMixin' class.
"""
name = models.CharField(_('Field Name'), max_length=255)
type = models.CharField(_('Field Type'), max_length=30)
model = models.CharField(_('Model Name'), max_length=50)
depth = models.IntegerField(_('Field Depth'))
foreignkey_model = models.CharField(_('Foreign Key Model Name'), max_length=50, null=True, blank=True)
class Meta:
db_table = 'djadmin_field'
verbose_name = _('Djadmin Field')
verbose_name_plural = _('Djadmin Fields')
def __str__(self):
return self.name
class DjadminModelSetting(models.Model):
"""
It will store Model information that inherit 'DjadminMixin' class
This model entry work dynamically. When any admin registerd model inherit mentions class
then this model automatic store information about model's.
Note: When you remove inherit class from admin model then model stored entry will be deleted automatically
"""
model = models.CharField(_('Model Name'), max_length=50)
app_label = models.CharField(_('Model App Label Name'), max_length=50)
list_display = models.ManyToManyField(DjadminField,
verbose_name=_("List Display"),
related_name='list_display',
help_text=_("Set list_display to control which fields are displayed "
"on the change list page of the admin."),
blank=True)
list_display_links = models.ManyToManyField(DjadminField,
verbose_name=_("List Display Link"),
related_name='list_display_links',
blank=True,
help_text=_("Use list_display_links to control if and which fields "
"in list_display should be linked to the change"
" list page for an object."))
list_filter = models.ManyToManyField(DjadminField,
verbose_name=_("List Filter"),
related_name='list_filter',
blank=True,
help_text=_("Set list_filter to activate filters in the right sidebar of"
" the change list page of the admin"))
list_per_page = models.IntegerField(_('List Per Page'),
null=True,
blank=True,
help_text=_("Set list_per_page to control how many items appear on each"
" paginated admin change list page."))
list_max_show_all = models.IntegerField(_('List Max Show All'),
null=True,
blank=True,
help_text=_("Set list_max_show_all to control how many items can "
"appear on a 'Show all' admin change list page."))
list_editable = models.ManyToManyField(DjadminField,
verbose_name=_("List Editable"),
related_name='list_editable',
blank=True,
help_text=_("Set list_editable to a list of field names on the model"
" which will allow editing on the change list page."))
search_fields = models.ManyToManyField(DjadminField,
verbose_name=_("Search Fields"),
related_name='search_fields',
blank=True,
help_text=_("Set search_fields to enable a search box on the admin"
" change list page."))
date_hierarchy = models.ForeignKey(DjadminField,
related_name='date_hierarchy',
blank=True,
null=True,
verbose_name=_('Date Hierarchy'),
help_text=_("Set date_hierarchy to the name of a DateField or DateTimeField"
" in your model, and the change list page will include a date-based"
" drilldown navigation by that field."),on_delete=models.CASCADE)
actions_on_top = models.BooleanField(_('Actions on Top'),
default=True,
help_text=_('Controls where on the page the actions bar appears'))
actions_on_bottom = models.BooleanField(_('Actions on Bottom'),
default=False)
has_add_permission = models.BooleanField(_('Has Add Permission?'), default=True)
has_change_permission = models.BooleanField(_('Has Change Permission?'), default=True)
has_delete_permission = models.BooleanField(_('Has Delete Permission?'), default=True)
# 2) Show all inline form list with manytomany of particular model
# 3)number of forms in inline
# extra max_num min_num
class Meta:
db_table = 'djadmin_model_setting'
ordering = ['model']
verbose_name = _('Djadmin Model Setting')
verbose_name_plural = _('Djadmin Model Settings')
def __unicode__(self):
return self.model
class DjadminCard(models.Model):
LOCATION_CHOICES = (
(LIST_PAGE, _('LIST PAGE')),
(FORM_PAGE, _('FORM PAGE')),
)
model = models.ForeignKey(DjadminModelSetting, on_delete=models.CASCADE)
name = models.CharField(_('Name of Card'), max_length=255)
html = models.TextField(_('HTML Code'))
location = models.SmallIntegerField(_('Select Location'),
choices=LOCATION_CHOICES,
help_text=_('It will help to show this card on selected '
'location for this model'))
date_created = models.DateTimeField(auto_now_add=True)
class Meta:
ordering = ['date_created']
verbose_name = _('Djadmin Card')
verbose_name_plural = _('Djadmin Cards')
def __str__(self):
return self.name
class Sortable(models.Model):
"""
It will store django admin changelist page row's pk.
But It will store when admin change any row, Otherwise it will not store default changelist
row's pk. It also provide reset to sortable from icon in table head tag.
"""
model = models.ForeignKey(ContentType, verbose_name=_('Model'), on_delete=models.CASCADE)
sort_array = models.TextField(_('Model Sortable Array'))
class Meta:
verbose_name = _('Sortable Model')
verbose_name_plural = _('Sortable Models')
def __str__(self):
return self.model.model
@property
def get_list(self):
"""
It will convert string list to int list
['1', '2', '3'] -> [1, 2, 3]
:return list:
"""
model_id_list = []
for model_id in json.loads(self.sort_array):
model_id_list.append(int(model_id))
return model_id_list
@staticmethod
def get_sortable_row(model, queryset):
"""
It will sort queryset(admin registered models) according to django admin changelist page.
:param model:
:param queryset:
:return queryset:
"""
model = ContentType.objects.get(model=model)
try:
sort_model = Sortable.objects.get(model=model)
preserved = Case(*[When(pk=pk, then=pos) for pos, pk in enumerate(sort_model.get_list)])
queryset = queryset.order_by(preserved)
except Sortable.DoesNotExist:
pass
return queryset | 0.579162 | 0.096068 |
from __future__ import print_function
import os
import re
import sys
import argparse
from cfutils.execute import *
from cfutils.formatting import print_c
from autolibs.ansible.deploy import DeployConfig
from autolibs.ansible.repository import AnsibleRepo
def list_actions():
""" Lists the actions available. """
return [
"create", "decrypt", "edit", "encrypt", "rekey", "view"
]
def list_environments(repo_info):
""" List what's available in the inventory path. """
return os.listdir(
paths_full(repo_info.base, repo_info.inventory_base)
)
def list_hosts(inventory_base, environment):
""" List the available hosts in the host_vars directory. """
return os.listdir(
paths_full(inventory_base, environment, "host_vars")
)
def list_groups(inventory_base, environment):
""" List the available hosts in the group_vars directory. """
return os.listdir(
paths_full(inventory_base, environment, "group_vars")
)
def known_arguments(args):
""" Returns a dictionary with the arguments that the user already filled """
return {
'command': args.words[0] if len(args.words) > 0 else None,
'action': args.words[1] if len(args.words) > 1 else None,
'environment': args.words[2] if len(args.words) > 2 else None,
'target': args.words[3] if len(args.words) > 3 else None
}
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'current_word',
action='store',
type=int,
help="Index of the current word being edited."
)
parser.add_argument(
'words',
action='store',
nargs='*',
help="List of all the words in the command line."
)
args = parser.parse_args()
result = []
try:
repo_info = AnsibleRepo()
except (ValueError, IOError, LookupError) as e:
sys.exit(1)
except ScriptError:
sys.exit(0)
# Don't output anything if we're not in a repository
if repo_info.base is None:
return
inventory_base = paths_full(repo_info.base, repo_info.inventory_base)
known = known_arguments(args)
try:
target_type = re.search(r'-(\w+)$', known['command']).group(1)
except AttributeError:
target_type = ''
# First parameter, action
if args.current_word == 1:
result = list_actions()
# Second parameter, environment
elif args.current_word == 2:
result = list_environments(repo_info)
# Third parameter, target
elif args.current_word == 3:
if target_type == 'host':
result = list_hosts(inventory_base, known['environment'])
elif target_type == 'group':
result = list_groups(inventory_base, known['environment'])
# Output
print('\n'.join(result))
sys.exit(0)
if __name__ == '__main__':
main()
# vim: ft=python:ts=4:sw=4 | autolibs/bin/ansible/supportvault.py |
from __future__ import print_function
import os
import re
import sys
import argparse
from cfutils.execute import *
from cfutils.formatting import print_c
from autolibs.ansible.deploy import DeployConfig
from autolibs.ansible.repository import AnsibleRepo
def list_actions():
""" Lists the actions available. """
return [
"create", "decrypt", "edit", "encrypt", "rekey", "view"
]
def list_environments(repo_info):
""" List what's available in the inventory path. """
return os.listdir(
paths_full(repo_info.base, repo_info.inventory_base)
)
def list_hosts(inventory_base, environment):
""" List the available hosts in the host_vars directory. """
return os.listdir(
paths_full(inventory_base, environment, "host_vars")
)
def list_groups(inventory_base, environment):
""" List the available hosts in the group_vars directory. """
return os.listdir(
paths_full(inventory_base, environment, "group_vars")
)
def known_arguments(args):
""" Returns a dictionary with the arguments that the user already filled """
return {
'command': args.words[0] if len(args.words) > 0 else None,
'action': args.words[1] if len(args.words) > 1 else None,
'environment': args.words[2] if len(args.words) > 2 else None,
'target': args.words[3] if len(args.words) > 3 else None
}
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'current_word',
action='store',
type=int,
help="Index of the current word being edited."
)
parser.add_argument(
'words',
action='store',
nargs='*',
help="List of all the words in the command line."
)
args = parser.parse_args()
result = []
try:
repo_info = AnsibleRepo()
except (ValueError, IOError, LookupError) as e:
sys.exit(1)
except ScriptError:
sys.exit(0)
# Don't output anything if we're not in a repository
if repo_info.base is None:
return
inventory_base = paths_full(repo_info.base, repo_info.inventory_base)
known = known_arguments(args)
try:
target_type = re.search(r'-(\w+)$', known['command']).group(1)
except AttributeError:
target_type = ''
# First parameter, action
if args.current_word == 1:
result = list_actions()
# Second parameter, environment
elif args.current_word == 2:
result = list_environments(repo_info)
# Third parameter, target
elif args.current_word == 3:
if target_type == 'host':
result = list_hosts(inventory_base, known['environment'])
elif target_type == 'group':
result = list_groups(inventory_base, known['environment'])
# Output
print('\n'.join(result))
sys.exit(0)
if __name__ == '__main__':
main()
# vim: ft=python:ts=4:sw=4 | 0.480966 | 0.194119 |