common.utils package

Submodules

common.utils.common_util module

common.utils.common_util.copy_all(src, dst)

디렉토리 안에 파일을 전부 복사 하는 유틸

The util that anything(file, directories...) in directory to destination dirctory

Args:

params:

• src : source directory
• dst: distination directory

Returns:

None

Raises:

Example

src = /hoya_model_root/nn00001/1/netconf_node/nn00001_1_19 dst =/hoya_model_root/nn00001/1/netconf_node/nn00001_1_20

common.utils.common_util.get_combine_label_list(origin_list, compare_list)

리스트 두개를 비교하여 차이나는 값만 마지막에 순서대로 넣는 함수

The function that compare two list and insert distingush values

Args:

params:

• origin_list : A original list
• compare_list: An compare lists

Returns:

list 두 리스트를 비교하여 구별된 값을 새 원래 리스트에 추가하여 반환

Raises: Example

origin_list = [‘A’,’B’,’C’,’D’] compare_list = [‘50>=’, ‘50=’,’C’,’D’,’E’] result => [‘A’, ‘B’, ‘C’, ‘D’, ‘50=’, ‘50>=’, ‘E’]

common.utils.common_util.isnan(value)

Pandas에서 Nan 검사하는 유틸

The function is Nan Check in pandas

Args:

params:

• value : anything

Returns:

True / False

Raises:

Example

isnan(‘hello’) == False isnan(‘NaN’) == True isnan(100) == False isnan(float(‘nan’)) = True

common.utils.common_util.log_savefile(printStr)

common.utils.common_util.make_and_exist_directory(directory)

디렉토리 만들기(없으면 만들고 있으면 현재 디렉토리 값 반환)

Make Directory and Exist Directory

Args:

params:

• directory : directory path

Returns:

directory path

Raises:

Example

common.utils.common_util.println(printStr)

common.utils.db_util module

common.utils.db_util.dictfetchall(cursor)

Return all rows from a cursor as a dict

common.utils.file_upload_util module

common.utils.file_upload_util.hdf_create(self, output_path, filecnt, channel, image_arr, shape_arr, lable_arr, name_arr)

common.utils.file_upload_util.save_upload_file(request, nnid, ver, dir)

save files upload via http :param request: :param nnid: :param ver: :param dir: :return:

common.utils.onehot_encoder module

class common.utils.onehot_encoder.OneHotEncoder(bucket_size, data_type=<class 'float'>)

Bases: object

OneHot Encoder for batch train

dics()

get dictionary list :return:

get_idx(item)

set item on bucket :param item: :return:

get_vector(item)

get vector matrix of item :param item: :return:

get_vocab(vector, prob_idx=0, min_prob=0.2)

get posb max item :param item: posb vector :return:

off_edit_mode()

off add dict mode :param dict_list: :return:

on_edit_mode()

on add dict mode :param dict_list: :return:

restore(dict_list)

load dict_list from :param dict_list: :return:

common.utils.path_util module

common.utils.path_util.del_filepaths(directory, file_type='*')

utils return file paths under directory Modify filtering file type :param directory: :return:

common.utils.path_util.get_filepaths(directory, file_type='*')

utils return file paths under directory Modify filtering file type :param directory: :return:

common.utils.path_util.get_model_path(nn_id, wf_ver, name)

get model save path :param name: :return:

common.utils.path_util.get_source_path(nn_id, wf_ver, name)

conbine parms and return source path (before data transformation) :param nn_id: :param wf_ver: :param name: :return:

common.utils.path_util.get_source_predict_path(nn_id, wf_ver, predict)

conbine parms and return source predict path (before data transformation) :param nn_id: :param wf_ver: :param name: :return:

common.utils.path_util.get_store_path(nn_id, wf_ver, name)

common.utils.path_util.get_yolo_path()

common.utils.path_util.set_filepaths(path)

Module contents