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celinelee
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python_fn_calls

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rt_handle.verify_req(request)
make_response("", 401)
print("BOT")
request.get_json()
rt_handle.resolve_bot_req(base_url, submit_payload)
print(err)
make_response("", 500)
app.route(url_rule, methods=['GET', 'PUT', 'POST'])
jama()
rt_handle.verify_req(request)
make_response("", 401)
rt_handle.resolve_jama_req(base_url, request)
suma()
r.set(x.get()
y.get()
multi()
r.set(x.get()
y.get()
resta()
r.set(x.get()
y.get()
dividir()
r.set(x.get()
y.get()
Tk()
root.geometry("300x300")
root.title("Botones y funciones")
root.config(bd=15)
DoubleVar()
DoubleVar()
StringVar()
Entry(root,textvariable=x, justify="center")
Entry(root,textvariable=y, justify="center")
Entry(root, textvariable=r, justify="center", state="disabled")
numero1.grid(row=0,column=0,padx=5,pady=5)
numero2.grid(row=0,column=1,padx=5,pady=5)
resultado.grid(row=3,column=0, columnspan=2,padx=5,pady=5)
Button(root, text="Sumar", command=suma)
sumar.grid(row=1,column=0,padx=5,pady=5)
Button(root, text="Multiplicar", command=multi)
multiplicar.grid(row=1,column=1,padx=5,pady=5)
Button(root, text="Restar", command=resta)
restar.grid(row=2,column=0,padx=5,pady=5)
Button(root, text="Dividir", command=dividir)
dividir.grid(row=2,column=1,padx=5,pady=5)
root.mainloop()
CustomDataset(Dataset)
__init__(self, label_file, image_set, input_size)
open(label_file, 'r', encoding="utf-8")
list(map(lambda line: line.strip()
split('|')
get_train_transform(size=input_size)
get_test_transform(size=input_size)
__getitem__(self, index)
print(self.imgs)
print(index)
print(len(self.imgs[index])
print(img_path)
Image.open(img_path)
convert('RGB')
self.transform(img)
np.array(img)
torch.from_numpy(img)
torch.from_numpy(np.array(int(label)
__len__(self)
len(self.imgs)
get_datasets_and_dataloader(label_path, image_set, batch_size, input_size)
CustomDataset(label_path, image_set=image_set, input_size=input_size)
DataLoader(_dataset, batch_size=batch_size, shuffle=True, num_workers=2)
input('Enter your name: ')
input('Enter your email: ')
input('Enter your phone: ')
input('Enter your githublink: ')
input('Save to CSV? ')
open('results.csv', 'a')
csv.writer(file)
csv_writer.writerow([name, githublink, email, phone])
main()
argparse.ArgumentParser(prog='Paramlist Generator')
parser.add_argument('case_name')
parser.parse_args()
open(case_name + '_sweep.in')
read()
json.loads(file_case)
print(uuid)
int(tmax/freq)
np.linspace(0.7, 2.2, num=nvar)
np.zeros((nz)
np.zeros((nt)
np.zeros((nt,nvar)
np.zeros((nt,nvar)
np.zeros((nt,nvar)
np.zeros((nt,nvar)
np.zeros((nt,nz,nvar)
np.zeros((nt,nz,nvar)
np.zeros((nt,nz,nvar)
np.zeros((nt,nz,nvar)
np.zeros((nt, nz, nvar)
np.zeros((nt,nz,nvar)
np.zeros((nt,nz,nvar)