Values divide folder

operators.val.values_divide_folder(client, folder_values1_in='/folder_values1_in', folder_values2_in='/folder_values2_in', folder_values_out='/folder_values_out', ignore_label=nan, value_subset1=nan, worker_instance_type='x2large', manager_instance_type='small', extension_file_values1_in='.npy', extension_file_values2_in='.npy', extension_file_values_out='.npy', skip_existing_files=False)

values_divide_folder(client,

folder_values1_in=’/folder_values1_in’,

folder_values2_in=’/folder_values2_in’,

folder_values_out=’/folder_values_out’,

ignore_label=float(“nan”),

value_subset1=float(“nan”),

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_values1_in=”.npy”,

extension_folder_values2_in=”.npy”,

extension_folder_values_out=”.npy”,

skip_existing_files = False )

Parameters:

• ignore_label – ignore value default: nan

• value_subset1 – ignore value default: nan

• folder_values1_in – input folder [.npy or .txt]

• folder_values2_in – input folder [.npy or .txt]

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

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_folder_values1_in – File extension of files in folder for folder_values1_in

• extension_folder_values2_in – File extension of files in folder for folder_values2_in

• extension_folder_values_out – File extension of files in folder for folder_values_out

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