| import pandas as pd | |
| import tensorflow as tf | |
| from sklearn.preprocessing import LabelEncoder | |
| from tensorflow.keras.preprocessing.text import Tokenizer | |
| def splitText(dataFrame: pd.DataFrame) -> pd.DataFrame: | |
| dataFrame.text = dataFrame.text.apply(lambda x: x.split()) | |
| dataFrame.labels = dataFrame.labels.apply(lambda x: x.split()) | |
| # splits the dataframe into lists instead of strings | |
Wrapper around https://github.com/helmisatria/tweet-harvest
Usage:
$ python3 harvest.py yyy mm dd n keyword
yyyy: year (e.g. 2018)mm: month (e.g. 08)dd: date (e.g. 20)| from datasets import Dataset, DatasetDict | |
| from transformers import AutoTokenizer, TrainingArguments, Trainer, DataCollatorForTokenClassification, AutoModelForTokenClassification, pipeline | |
| from sklearn.metrics import precision_score, recall_score, f1_score, classification_report, confusion_matrix, ConfusionMatrixDisplay | |
| from shutil import rmtree | |
| from tqdm import tqdm | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| import pandas as pd | |
| import numpy as np |
| import random | |
| import calendar | |
| # our sus link | |
| link = "https://docs.google.com/forms/d/1Kl1On8QB2n_tV_5qUazVNgTGEpw4PtoFOdJ-L45uOh4/viewform" | |
| # load our names to an array | |
| with open("names.txt", "r") as f: | |
| names = [line.strip() for line in f] |
run this command first to see from where clang includes its header files
clang -v -fsyntax-only -x c++ /dev/null. In my case, it's in /Library/Developer/CommandLineTools/usr/include/c++/v1
press Cmd + Shift + G in Finder and type the path or use cd to go to the dir
mkdir bits in there
cd bits and create a new file stdc++.h and paste the following content to it (source: https://gist.github.com/Einstrasse/ac0fe7d7450621a39364ed3b05cacd11)
| [colors] | |
| black = #1A1D45 | |
| bblack = #2c3073 | |
| white = #D7B7BB | |
| red = #FF4EA5 | |
| green = #7EB564 | |
| yellow = #F5B569 | |
| blue = #7A89EC | |
| magenta = #B66CDC | |
| cyan = #6CAC99 |
| ! general | |
| *foreground: #16161C | |
| *background: #f9cbbe | |
| ! black | |
| *color0: #f9cbbe | |
| *color8: #ad8d84 | |
| ! red | |
| *color1: #df2d52 |