Values sliced assign folder

operators.val.values_sliced_assign_folder(client, folder_in='/folder_in', folder_out='/folder_out', indices=':', folder_values_in='/folder_values_in', default_value=0.0, worker_instance_type='x2large', manager_instance_type='small', extension_file_in='.npy', extension_file_out='.txt', extension_file_values_in='.npy', skip_existing_files=False)

values_sliced_assign_folder(client,

folder_in=’/folder_in’,

folder_out=’/folder_out’,

indices=’:’,

folder_values_in=’/folder_values_in’,

default_value=0.0,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_in=”.npy”,

extension_folder_out=”.txt”,

extension_folder_values_in=”.npy”,

skip_existing_files = False )

Parameters:

• indices – indices to slice

• default_value – default value to assign

• folder_in – input folder [.txt or .npy]

• folder_out – output folder [.txt or .npy]

• folder_values_in – input folder [.txt or .npy]

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_folder_in – File extension of files in folder for folder_in

• extension_folder_out – File extension of files in folder for folder_out

• extension_folder_values_in – File extension of files in folder for folder_values_in

• skip_existing_files – skip files that already exist in the output folder