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def uniformsample_dball(npoint, nd=2): | |
# https://extremelearning.com.au/how-to-generate-uniformly-random-points-on-n-spheres-and-n-balls/ | |
# # method 20 | |
eps = 1e-12 | |
u = np.random.normal(0,1, (npoint,nd)) | |
norm = np.sum(u ** 2, axis=1) ** 0.5 | |
r = np.random.random(npoint)**(1.0/nd) | |
x = (r / (norm+eps)).reshape((-1,1)) * u | |
return x |
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# https://gist.github.com/Bilka2/5dd2ca2b6e9f3573e0c2defe5d3031b2 | |
# https://www.reddit.com/r/Discord_Bots/comments/iirmzy/how_to_send_files_using_discord_webhooks_python/ | |
import requests | |
webhook_url = "Insert Webhook URL" # discord webhook url | |
# test? | |
# result = requests.get(webhook_url) |
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# Import smtplib for the actual sending function | |
import smtplib | |
import getpass | |
# Import the email modules we'll need | |
from email.message import EmailMessage | |
# Create a text/plain message | |
msg = EmailMessage() | |
msg.set_content('Testing email notification with python!') |
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# request analysis with selenium, without fiddler | |
# references: | |
# https://stackoverflow.com/a/63732179 | |
# https://stackoverflow.com/a/27644635 | |
# https://stackoverflow.com/a/69931030 | |
from selenium import webdriver | |
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities | |
import json |
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def generate_shortname(s): | |
"""generate all the possible short name of s | |
where the output should be a subsequence of s containing the first letter of s. | |
s : original name (string) | |
""" | |
assert len(s)>=2, "The length of the string should be at least 2." | |
t0, *t = s | |
len_t = len(t) | |
oo = [] |
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call "C:/Program Files/Microsoft Visual Studio/2022/Community/Common7/Tools/VsDevCmd.bat" | |
"%LocalAppData%/Programs/Microsoft VS Code/Code.exe" |
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def _decode_unicode_escape_in_dict_(target_dict): | |
new_dict = {} | |
for key1, value1 in target_dict.items(): | |
key1 = key1.encode().decode("unicode-escape") | |
if isinstance(value1, dict): | |
value1 = _decode_unicode_escape_in_dict_(value1) | |
elif isinstance(value1, str): | |
value1 = value1.encode().decode("unicode-escape") | |
new_dict[key1] = value1 | |
return new_dict |
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import numpy as np | |
import matplotlib.pyplot as plt | |
from mpl_toolkits.mplot3d import Axes3D | |
def beta_test(): | |
b = np.random.beta(1,2,2000) | |
b0 = np.random.beta(1,1,1000) | |
x = np.random.uniform(0,1,2000) | |
x = x.reshape((-1,2)) | |
b1 = (1 - (1 - x) ** (1/2 + 0j)).real |
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# python file amalgamation example (amalgamate cpython into one file) | |
import os | |
target_folder_name = r"repo\cpython" | |
output_file_name = "cpython.txt" | |
with open(output_file_name, "xb") as o_f: | |
for root, dirs, files in os.walk(target_folder_name): | |
for name in files: | |
_, ext = os.path.splitext(name) |
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import os | |
import errno | |
import cv2 | |
import torch | |
import numpy as np | |
import random | |
from torch.utils.data import Dataset, ConcatDataset, DataLoader | |
from typing import Callable | |
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