| # Check for data entries amount of dense layer (count weight+bias+output) | |
| def dense_layer_datanum(in_shape,dense_out,axis=-1): | |
| in_shape=list(in_shape) | |
| dense_in=in_shape[axis] | |
| in_shape[axis]=dense_out | |
| result_out=1 | |
| for i in in_shape: result_out*=i | |
| return (dense_in+1)*dense_out+result_out |
| # [USER_PARAM] Path to device file | |
| path='/dev/sda' | |
| # [USER_PARAM] Physical Sector Size of Disk (Used only in buffer_size and information displaying, can be ignore) | |
| physical_sector_size=4096 | |
| # [USER_PARAM] Buffer Size | |
| buffer_size=physical_sector_size*2 | |
| # [USER_PARAM] Writing Bytes Value (Set to 0 to overwrite disk to zero, else set to 255 for overwriting to ones) | |
| writing_bytes_value=0 | |
| # User Confirmation |
Remarks: Those codes are written for Python, using popular data science libraries (such as pandas). And you can try this on Google Colab.
Dataset contains information about university entries Related Datasets URL: https://tcas.sgp1.digitaloceanspaces.com/data/universities.json
| # WARNING: beware when using relative path, pls check working directory too. | |
| # REMARK: pls see all comments, and in near actual NY event, run this script before time that "Countdown Final Alert" is occured (23:45 of NY Eve). | |
| import subprocess as sp | |
| import datetime,time | |
| # Path to song | |
| main_song_path='./Music/Edited/Events/NewYear2023/' | |
| # Timestamp for "Countdown Final Alert" which alert before NY. 15minutes |
