def render_tree(t,
imgName,
w=None,
h=None,
layout=None,
tree_style=None,
header=None,
units="px",
dpi=90):
""" Render tree image into a file."""
global _QApp
for nid, n in enumerate(t.traverse("preorder")):
n.add_feature("_nid", nid)
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0, 0)
scene.addItem(scene.master_item)
if imgName == "%%inline":
imgmap = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
else:
x_scale, y_scale = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
imgmap = get_tree_img_map(n2i, x_scale, y_scale)
return imgmap
def go(gj, name):
gprof = profile.wrap(profile.BUILTIN['720p'], gj)
name = 'out/%s_%s_%04d' % (name, basename, time * 10000)
rdr = render.Renderer(gnm, gprof)
evt, buf = rmgr.queue_frame(rdr, gnm, gprof, time)
evt.synchronize()
save(rdr.out, name, buf)
print 'Saved', name, evt.time()
def go(gj, name):
gprof = profile.wrap(profile.BUILTIN['720p'], gj)
name = 'out/%s_%s_%04d' % (name, basename, time * 10000)
rdr = render.Renderer(gnm, gprof)
evt, buf = rmgr.queue_frame(rdr, gnm, gprof, time)
evt.synchronize()
save(rdr.out, name, buf)
print 'Saved', name, evt.time()
def process():
try:
date_exec = request.args.get('date_exec')
date_exec = datetime(int(date_exec[:4]), int(date_exec[4:6]),
int(date_exec[6:]))
sales, fact_table, product_dim, region_dim, folder = transformation(
date_exec=date_exec)
save(sales, fact_table, product_dim, region_dim, folder=folder)
return {"Flag": "True"}
except:
return {"Flag": "False"}
def render_tree(t, imgName, w=None, h=None, layout=None, \
tree_style = None, header=None, units="px"):
""" Render tree image into a file."""
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0,0)
scene.addItem(scene.master_item)
save(scene, imgName, w=w, h=h, units=units)
imgmap = get_tree_img_map(n2i)
return imgmap
def render_tree(t, imgName, w=None, h=None, layout=None, \
tree_style = None, header=None, units="px"):
""" Render tree image into a file."""
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_data(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0, 0)
scene.addItem(scene.master_item)
save(scene, imgName, w=w, h=h, units=units)
imgmap = get_tree_img_map(n2i)
return imgmap
def get_img(t,
w=None,
h=None,
layout=None,
tree_style=None,
header=None,
units="px",
dpi=90):
global _QApp
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0, 0)
scene.addItem(scene.master_item)
x_scale, y_scale, imgdata = save(scene,
"%%return",
w=w,
h=h,
units=units,
dpi=dpi)
_QApp.quit()
_QApp = None
return imgdata, {}
def render_tree(t, imgName, w=None, h=None, layout=None,
tree_style = None, header=None, units="px",
dpi=90):
""" Render tree image into a file."""
global _QApp
for nid, n in enumerate(t.traverse("preorder")):
n.add_feature("_nid", nid)
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0,0)
scene.addItem(scene.master_item)
if imgName == "%%inline":
imgmap = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
else:
x_scale, y_scale = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
imgmap = get_tree_img_map(n2i, x_scale, y_scale)
return imgmap
def build():
teacher_list = []
search_data = []
with open('../data/syllabus.json', 'r') as f:
syllabus = json.load(f)
for subject in syllabus['data']:
origin_detail = subject['detail']
detail_list = []
detail_list.append(subject['title'])
detail_list.append(origin_detail['day'])
detail_list.append(origin_detail['target'])
detail_list.append(origin_detail['purpose'])
detail_list.append(origin_detail['teachingStyle'])
detail_list.append(origin_detail['gradePolicy'])
detail_list.append(origin_detail['finalTest'])
detail_list.append(origin_detail['message'])
detail_list.append(" ".join(origin_detail['keywords']))
detail_list.append(" ".join(origin_detail['contents']))
if (subject['teacher'] not in teacher_list):
search_data.append({
'text': subject['teacher'],
'type': 'teacher',
'title': '教員',
'id': hash(f'teacher:{subject["teacher"]}'),
})
teacher_list.append(subject['teacher'])
search_data.append({
'text': " ".join(detail_list).strip(),
'type': 'subject',
'title': subject['title'],
'id': subject['code']
})
save('../data/search.json', {'data': search_data})
def forex_eval(params):
print(f'Using params: {params}')
now_str = str(datetime.now()).replace(':', '-').replace(' ',
'_').split('.')[0]
writer = SummaryWriter(os.path.join(log_dir, now_str))
config = helpers.get_config(config_path)
if 'n_dense_layers' in params and 'n_nodes_dense_layers' in params:
config['dense_params'] = [{
'out_features':
params['n_nodes_dense_layers']
} for _ in range(params['n_dense_layers'])]
if 'n_conv_layers' in params and 'conv_filter_size' in params and 'conv_kernel_size' in params:
config['conv_params'] = [{
'out_channels': params['conv_filter_size'],
'kernel_size': params['conv_kernel_size']
} for _ in range(params['n_conv_layers'])]
for param, value in params.items():
if param in config: config[param] = value
model = train(device, writer, config, data_dir)
metrics = evaluate(model, device, writer, config, data_dir, config_path)
save(model, device, metrics, now_str, config, model_dir, config_path)
return {k: (v, 0.0) for k, v in metrics.items() if v is not tuple}
def get_img(t, w=None, h=None, layout=None, tree_style = None,
header=None, units="px", dpi=90):
global _QApp
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0,0)
scene.addItem(scene.master_item)
x_scale, y_scale, imgdata = save(scene, "%%return", w=w, h=h, units=units, dpi=dpi)
_QApp.quit()
_QApp = None
return imgdata, {}
def render_tree(t,
imgName,
w=None,
h=None,
layout=None,
tree_style=None,
header=None,
units="px",
dpi=90):
""" Render tree image into a file."""
scene, img = init_scene(t, layout, tree_style)
tree_item, n2i, n2f = render(t, img)
scene.init_values(t, img, n2i, n2f)
tree_item.setParentItem(scene.master_item)
scene.master_item.setPos(0, 0)
scene.addItem(scene.master_item)
if imgName == "%%inline":
imgmap = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
else:
x_scale, y_scale = save(scene, imgName, w=w, h=h, units=units, dpi=dpi)
imgmap = get_tree_img_map(n2i, x_scale, y_scale)
return imgmap
def save():
if main.save():
return 'save thanh cong!!!'
return 'false'
def receiveData():
main.save("joe", data1)
print(datafier.main(request.json["data"]))
print(str(main.check("joe", datafier.main(request.json["data"]))))
return str(main.check("joe", datafier.main(request.json["data"])))
if __name__ == "__main__":
data = load_previous()
print("Got data: ", data)
print_stats(data)
new_rolling = [int(x) for x in input("Please enter a new data array: ").split(",")]
new_array_index = len(new_rolling) - 1
new_day = date.today()
print("New rolling array ", new_rolling)
print("Array index: ", new_array_index)
print("New last updated: ", new_day)
assert new_array_index >= 0
# pad off 0s till we get to 14
while len(new_rolling) != 14:
new_rolling.append(0)
data.rolling_array = new_rolling
data.array_index = new_array_index
data.last_updated = new_day
print("**** STATS HAVE BEEN CHANGED. Please review the changes *****")
print_stats(data)
input("Press any key to continue")
save(data)
print("Changes have been saved")
res = app.create(key,value)
if(res):
print("Key Value pair has been added successfully")
elif(option == 2):
print("Enter the key:")
key = input()
print("Enter its value:")
value = input()
print("Enter the time-to-live")
ttl = int(input())
res = app.create(key,value,ttl)
if(res):
print("Key Value pair has been added successfully")
elif(option == 3):
print("Enter the key:")
key = input()
app.read(key)
elif(option == 4):
print("Enter the key:")
key = input()
app.delete(key)
print("Enter your option")
option = int(input())
if(option == 5):
datastore = app.save()
with open("library.json",'w') as file:
datastore = json.dumps(datastore)
file.write(datastore)
