I wanted to install GIT-Lfs on my user account without access to server root account. I write this to my future self.
tar.gz file from git-lfs website.wget https://github.com/git-lfs/git-lfs/releases/download/v3.2.0/git-lfs-linux-amd64-v3.2.0.tar.gz2.Untar it
tar xvf git-lfs-linux-amd64-v3.2.0.tar.gz
| # If "Disk Utility" can't erase a demaged disk and throw errors, like these: | |
| # a) "-69888: Couldn't unmount disk"; | |
| # b) "Couldn't modify partition map". | |
| # You can repair disk (if it is damaged partially, just by a program error, while changing partition map of a disk in) by | |
| # FULL ERASING OF A DISK - you can do that ONLY in A COMMAND LINE, using "diskutil" command (on OS X) | |
| # 1. Firstly you must get path of a drive in a system, like this: | |
| diskutil list | |
| # Than complete erasing of a disk: | |
| diskutil eraseDisk free EMPTY /dev/disk4 |
| https://www.ucc-bsnl.co.in/ |
| sudo lshw -C disk | |
| sudo mkfs.ext4 /dev/sdb1 | |
| sudo mkdir /mnt/hdd1 | |
| sudo mount /dev/sde /mnt/hdd1 | |
| sudo chmod -R 777 /mnt/hdd1/ |
| Assuming the CSV looks something like : | |
| "Distance","E","G","C","B" | |
| "A","3","5","7","3" | |
| "B","4","5","6","0" | |
| "C","4","1","0","6" | |
| "D","5","8","3","6" | |
| Code: |
| #https://stackoverflow.com/questions/49457443/python-pdfminer-converts-pdf-file-into-one-chunk-of-string-with-no-spaces-betwee | |
| # | |
| #According to this thread some pdfs mark the entire text as figure and by default PDFMiner doesn't try to perform layout analysis for figure text. To override this behavior the all_texts parameter needs to be set to True. | |
| # | |
| import io | |
| import pdfminer | |
| from pdfminer.converter import TextConverter |
| def make_heatmap(text, values, save=None, polarity=1): | |
| cell_height=.325 | |
| cell_width=.15 | |
| n_limit = 74 | |
| text = list(map(lambda x: x.replace('\n', '\\n'), text)) | |
| num_chars = len(text) | |
| total_chars = math.ceil(num_chars/float(n_limit))*n_limit | |
| mask = np.array([0]*num_chars + [1]*(total_chars-num_chars)) | |
| text = np.array(text+[' ']*(total_chars-num_chars)) | |
| values = np.array(values+[0]*(total_chars-num_chars)) |
| For small files | |
| wget --no-check-certificate 'https://docs.google.com/uc?export=download&id=1rC6LWGNkHaZkuojCEWDqSKcDGwFMBTYZ' -O transformer_semeval.clf | |
| For large files | |
| wget --load-cookies cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1rC6LWGNkHaZkuojCEWDqSKcDGwFMBTYZ' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1rC6LWGNkHaZkuojCEWDqSKcDGwFMBTYZ" -O transformer_semeval.clf |
| Learning Structured Representation for Text Classification | |
| via Reinforcement Learning | |
| https://github.com/keavil/AAAI18-code |