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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cdeaa27ba25e454daf95595f163fae1a13887999 | 1,220 | py | Python | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | import random
import json
import torch
from model import NeuralNet
from nltk_utils import *
device = "cuda"
with open('intents.json','r') as f:
intents = json.load(f)
FILE = 'data.pth'
data = torch.load(FILE)
input_size = data['input_size']
output_size = data['output_size']
hidden_size = data['hidden_size']
all_wor... | 29.047619 | 74 | 0.648361 | 180 | 1,220 | 4.244444 | 0.416667 | 0.03534 | 0.036649 | 0.034031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00813 | 0.193443 | 1,220 | 41 | 75 | 29.756098 | 0.768293 | 0 | 0 | 0 | 0 | 0 | 0.17459 | 0.029508 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121951 | 0 | 0.121951 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdecd7c4bafe572b5e961bd73c1a75878f9feaa8 | 3,428 | py | Python | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
* Filename: cli.py
* Description: cli program entry
* Time: 2020.11.30
* Author: liuf5
*/
"""
import os
import sys
import argparse
module_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(1, module_path)
from zoomeye import core
... | 26.369231 | 110 | 0.606768 | 392 | 3,428 | 5.17602 | 0.369898 | 0.059142 | 0.05175 | 0.079349 | 0.18137 | 0.109414 | 0.109414 | 0.109414 | 0.071957 | 0.071957 | 0 | 0.005983 | 0.26867 | 3,428 | 129 | 111 | 26.573643 | 0.803351 | 0.073221 | 0 | 0.34375 | 0 | 0 | 0.353147 | 0.067069 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0.010417 | 0.041667 | 0 | 0.072917 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdeceab8b898ec021afc4aa90ddeda2bd76d683c | 862 | py | Python | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | import cv2 as cv
if __name__ == "__main__":
# 0 => first (default) webcam connected,
# 1 => second webcam and so on.
cap = cv.VideoCapture(0, cv.CAP_DSHOW)
# cv.namedWindow("Window")
if not cap.isOpened():
raise IOError("Webcam could not be opened!")
while True:
... | 25.352941 | 61 | 0.597448 | 116 | 862 | 4.362069 | 0.681034 | 0.019763 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016722 | 0.306265 | 862 | 33 | 62 | 26.121212 | 0.829431 | 0.363109 | 0 | 0.125 | 0 | 0 | 0.087199 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdf16ad97ffce90e11c1fa4d69eb40752cd40a16 | 3,928 | py | Python | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | 3 | 2021-05-16T17:06:57.000Z | 2021-05-28T17:14:05.000Z | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | import datetime
from current_user.models import CurrentUserField
from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.timezone import now
from django.utils.translation import gettext_lazy as _
from sso.accounts.models import Application
from sso.models import ... | 39.28 | 111 | 0.649949 | 429 | 3,928 | 5.731935 | 0.305361 | 0.035787 | 0.044734 | 0.02074 | 0.165921 | 0.102481 | 0.083774 | 0 | 0 | 0 | 0 | 0.003743 | 0.251782 | 3,928 | 99 | 112 | 39.676768 | 0.832936 | 0.035387 | 0 | 0.102564 | 0 | 0 | 0.073222 | 0.022469 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.128205 | 0.051282 | 0.474359 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdf35f3aa036ddd5079307083d76c1f9e474653b | 1,518 | py | Python | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | 5 | 2021-02-01T07:43:39.000Z | 2022-03-25T05:01:31.000Z | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | import os
from time import time
import numpy as np
import soundfile
from matplotlib import pyplot as plt
from wavelet.fast_transform import FastWaveletTransform
from wavelet.util.utility import threshold, mad, snr, amp_to_db
INPUT_FILE = "/example/input/file.wav"
OUTPUT_DIR = "/example/output/"
info = soundfile.inf... | 29.192308 | 108 | 0.689065 | 202 | 1,518 | 5.10396 | 0.475248 | 0.034918 | 0.015519 | 0.019399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0058 | 0.204875 | 1,518 | 51 | 109 | 29.764706 | 0.848384 | 0.118577 | 0 | 0 | 0 | 0 | 0.088589 | 0.017267 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.205882 | 0 | 0.205882 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdf93d47f329e66522fe3776469675377c2e7349 | 1,758 | py | Python | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | """
In MATLAB, there is a very useful function called 'reshape', which can reshape a matrix into
a new one with different size but keep its original data. You're given a matrix represented
by a two-dimensional array, and two positive integers r and c representing the row number and
column number of the wanted reshap... | 33.807692 | 100 | 0.606371 | 280 | 1,758 | 3.807143 | 0.367857 | 0.009381 | 0.014071 | 0.018762 | 0.123827 | 0.123827 | 0.123827 | 0.097561 | 0.054409 | 0.054409 | 0 | 0.03818 | 0.299772 | 1,758 | 51 | 101 | 34.470588 | 0.827782 | 0.717861 | 0 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdfba4673ccb2b05e2ef7ddcaa8aeaa3095e7451 | 4,629 | py | Python | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
import select
from time import sleep
import message_pb2
from google.protobuf.internal import encoder
import tensorflow as tf
from tensorflow.keras import preprocessing
import pickle
import numpy as np
## RNN part
# Load the inference model
def load_inference_models(enc_file, dec_f... | 32.598592 | 140 | 0.712249 | 636 | 4,629 | 4.97956 | 0.264151 | 0.022734 | 0.037891 | 0.030313 | 0.34228 | 0.332807 | 0.278813 | 0.278813 | 0.278813 | 0.262078 | 0 | 0.012977 | 0.151005 | 4,629 | 141 | 141 | 32.829787 | 0.792875 | 0.04623 | 0 | 0.181034 | 0 | 0 | 0.079145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.077586 | 0 | 0.206897 | 0.043103 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cdfcd2a90ed7ec6257eb01c41e93f4909519bbec | 3,427 | py | Python | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 5,200 | 2016-05-03T04:59:01.000Z | 2022-03-31T03:32:26.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 724 | 2016-05-04T09:04:37.000Z | 2022-02-28T02:41:12.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 1,004 | 2016-05-03T22:45:14.000Z | 2022-03-25T00:08:08.000Z | """Variational auto-encoder for MNIST data.
References
----------
http://edwardlib.org/tutorials/decoder
http://edwardlib.org/tutorials/inference-networks
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import edward as ed
import numpy as np
import os
i... | 31.731481 | 77 | 0.676685 | 522 | 3,427 | 4.293103 | 0.356322 | 0.018742 | 0.029005 | 0.023204 | 0.091923 | 0.055332 | 0.033021 | 0.033021 | 0 | 0 | 0 | 0.020158 | 0.189378 | 3,427 | 107 | 78 | 32.028037 | 0.786537 | 0.195214 | 0 | 0 | 0 | 0 | 0.048664 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.157143 | 0 | 0.185714 | 0.042857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a804975ed4327041257e7e887706be1ffc7b7803 | 2,829 | py | Python | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | import streamlit as st
import pandas as pd
import numpy as np
import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import matplotlib.pyplot as plt
def load_data(data):
data=pd.read_csv(data)
return data
df = load_data('hdi.csv')
st.title('Human Development Index i... | 40.414286 | 144 | 0.679392 | 409 | 2,829 | 4.665037 | 0.342298 | 0.044025 | 0.073375 | 0.075996 | 0.357442 | 0.194969 | 0.15304 | 0.111111 | 0 | 0 | 0 | 0.024237 | 0.154118 | 2,829 | 69 | 145 | 41 | 0.771835 | 0 | 0 | 0.075472 | 0 | 0.09434 | 0.392011 | 0.04065 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.132075 | 0 | 0.169811 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a804e02acc0b6d5ed28538bc5bf647eab91b6259 | 657 | py | Python | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | 1 | 2021-06-22T23:07:31.000Z | 2021-06-22T23:07:31.000Z | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | # main.py
import pycom
import time
pycom.heartbeat(False)
red = 0x08
blue = 0x00
green = 0x00
sleepTime = 0.01
def setRgb(red, green, blue):
rgbValue = 0x000000
rgbValue |= (red << 16) | (green << 8) | blue
pycom.rgbled(rgbValue)
return
while True:
###
#if red >= 0x08:
# if green > 0:... | 16.425 | 49 | 0.464231 | 77 | 657 | 3.961039 | 0.376623 | 0.059016 | 0.091803 | 0.118033 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101266 | 0.398782 | 657 | 39 | 50 | 16.846154 | 0.670886 | 0.35312 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8054920242ac3e7b7e99120e329e53db3f718af | 1,891 | py | Python | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | 2 | 2019-04-30T05:42:05.000Z | 2019-08-11T19:17:20.000Z | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | from spacetime import get_s_address_for_t_address
from s_address import node_for_s_address
from dsn.s_expr.structure import TreeText
from dsn.pp.structure import PPNone, PPSingleLine, PPLispy, PPAnnotatedSExpr
from dsn.pp.clef import PPUnset, PPSetSingleLine, PPSetLispy
def build_annotated_tree(node, default_annota... | 35.679245 | 120 | 0.710206 | 253 | 1,891 | 5.086957 | 0.391304 | 0.049728 | 0.041958 | 0.021756 | 0.034188 | 0.034188 | 0 | 0 | 0 | 0 | 0 | 0 | 0.230566 | 1,891 | 52 | 121 | 36.365385 | 0.884536 | 0.248017 | 0 | 0.060606 | 0 | 0 | 0.010707 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.151515 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8065cec94c9ac0bb277d2b7b2c4a7aa013dd5ba | 3,285 | py | Python | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | 1 | 2021-05-31T00:08:02.000Z | 2021-05-31T00:08:02.000Z | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | from cadquery import *
from math import sin,cos,acos,asin,pi,atan2
class Pallet:
def __init__(self):
self.torx6 = { 6:(1.75,1.27), 8:(2.4,1.75), 10:(2.8,2.05), 15:(3.35,2.4), 20:(3.95,2.85),
25:(4.50,3.25), 30:(5.6,4.05), 40:(6.75,4.85),45:(7.93,5.64), 50:(8.95,6.45),
... | 48.308824 | 101 | 0.497717 | 626 | 3,285 | 2.592652 | 0.178914 | 0.05915 | 0.044362 | 0.029575 | 0.321627 | 0.149723 | 0.078866 | 0.045595 | 0.041898 | 0.041898 | 0 | 0.111997 | 0.236225 | 3,285 | 68 | 102 | 48.308824 | 0.534874 | 0.040487 | 0 | 0 | 0 | 0 | 0.003175 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0 | 0.033898 | 0 | 0.152542 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8094575efb5f9d3bcb611dcb83074209e70f07f | 478 | py | Python | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def largeGroupPositions(self, S: str) -> List[List[int]]:
l = []
start = end = 0
while start < len(S):
while end < len(S) and S[start] == S[end]:
end += 1
if end - start >= 3:
l.append([start, e... | 22.761905 | 61 | 0.493724 | 57 | 478 | 4 | 0.508772 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013468 | 0.378661 | 478 | 20 | 62 | 23.9 | 0.754209 | 0 | 0 | 0 | 0 | 0 | 0.023013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.25 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a80a22c9f777e08edf7fe7ed83b93c4fd1e307bc | 1,727 | py | Python | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 2 | 2021-06-19T17:17:30.000Z | 2021-06-19T17:17:39.000Z | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | null | null | null | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 1 | 2021-06-19T17:18:32.000Z | 2021-06-19T17:18:32.000Z | import time
import math
import py_qmc5883l
import pigpio
import adafruit_bmp280
from i2c_ADXL345 import ADXL345
import numpy as np
from i2c_ITG3205 import Gyro
class IMU:
def __init__(self, pi):
self.gyro = Gyro(pi)
self.accel = ADXL345(pi)
self.mag = py_qmc5883l.QMC5883L(pi)
rpy =... | 28.311475 | 104 | 0.579618 | 286 | 1,727 | 3.300699 | 0.307692 | 0.03178 | 0.050847 | 0.047669 | 0.105932 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063167 | 0.294152 | 1,727 | 60 | 105 | 28.783333 | 0.711239 | 0.110596 | 0 | 0 | 0 | 0 | 0.015023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.166667 | 0.0625 | 0.416667 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a80b6a8d0bacba13b3fe61daf36962d8ad3001a4 | 8,892 | py | Python | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn.model_selection import GridSearchCV, train_test_split, cross_val_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score, classification_report
import matplotlib.pyplot as plt
import numpy as np
import category_encoders as ce
from sklearn.preproc... | 31.870968 | 109 | 0.624944 | 1,293 | 8,892 | 4.08894 | 0.273782 | 0.016645 | 0.018725 | 0.015888 | 0.237375 | 0.198979 | 0.198979 | 0.188765 | 0.164933 | 0.164933 | 0 | 0.017174 | 0.246964 | 8,892 | 279 | 110 | 31.870968 | 0.772401 | 0.233468 | 0 | 0.230263 | 0 | 0 | 0.137084 | 0.018962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111842 | false | 0 | 0.052632 | 0 | 0.269737 | 0.197368 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a80cfdeae5dd9779dfdf75f7f464b230527883ae | 1,167 | py | Python | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import pandas as pd
from house.production.solar_panel import SolarPanel
from house import House
from math import pi
from time import time
start_time = time()
solar_panel_east = SolarPanel(285.0, 10*pi/180, -pi/2, 0.87, 1.540539, 10)
solar_panel_west = SolarPanel(285.0, 10*pi/180, pi/2... | 33.342857 | 167 | 0.642674 | 182 | 1,167 | 3.994505 | 0.461538 | 0.082531 | 0.035763 | 0.044017 | 0.225585 | 0.173315 | 0.173315 | 0.099037 | 0.099037 | 0.099037 | 0 | 0.105092 | 0.209083 | 1,167 | 34 | 168 | 34.323529 | 0.682557 | 0.045416 | 0 | 0 | 0 | 0.043478 | 0.179279 | 0.081081 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.26087 | 0 | 0.26087 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a813a7003f5f5d2c9a1b282747c12188d836b770 | 2,468 | py | Python | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | 9 | 2021-11-01T06:06:33.000Z | 2022-02-07T12:21:18.000Z | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | null | null | null | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | 1 | 2022-03-06T07:38:32.000Z | 2022-03-06T07:38:32.000Z | from tensorflow.keras.layers import Layer, Conv1D, Input, Dropout, MaxPool1D, Masking
import tensorflow.keras.backend as K
from tensorflow.keras import Model
import tensorflow as tf
class CNN1D(Layer):
def __init__(self, filters=(32, 64), pooling_sizes=(4, 4), kernel_size=3, stride_size=1, using_dropout=True,
... | 37.393939 | 112 | 0.573339 | 306 | 2,468 | 4.444444 | 0.313725 | 0.052941 | 0.027941 | 0.029412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.329011 | 2,468 | 65 | 113 | 37.969231 | 0.793478 | 0.15316 | 0 | 0 | 0 | 0 | 0.011988 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.086957 | 0.021739 | 0.23913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a81435452d7a1fd0220c50904adbc5e774a45f27 | 931 | py | Python | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | import json
import os
import mock
def mock_response(json_str=None, raw=None):
resp = mock.MagicMock()
if json_str is not None:
loaded_json = json.loads(json_str)
resp.json = mock.MagicMock(return_value=loaded_json)
if raw is not None:
resp.raw = mock.MagicMock()
resp.raw.r... | 21.159091 | 68 | 0.651987 | 133 | 931 | 4.428571 | 0.360902 | 0.088285 | 0.03056 | 0.081494 | 0.118846 | 0.118846 | 0.118846 | 0 | 0 | 0 | 0 | 0 | 0.26101 | 931 | 43 | 69 | 21.651163 | 0.856105 | 0.274973 | 0 | 0 | 0 | 0 | 0.006472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a81666f0e6701e07b7dd6f00c88fe2096ec32290 | 391 | py | Python | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | null | null | null | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | null | null | null | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | 1 | 2018-02-26T03:14:46.000Z | 2018-02-26T03:14:46.000Z | import sys
peak=[]
with open(sys.argv[1],'r') as f:
for line in f:
line=line.strip('\n').split('\t')
peak.append(int(line[3]))
f.close()
num=int(len(peak)/100.0)
bin=[]
for i in range(99):
bin.append(str(i+1)+'\t'+str(sum(peak[num*i:num*(i+1)])/(num*1.0))+'\n')
bin.append('100'+'\t'+str(sum(peak[num*99:])/(num*... | 20.578947 | 73 | 0.59335 | 83 | 391 | 2.795181 | 0.409639 | 0.068966 | 0.060345 | 0.094828 | 0.12069 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053824 | 0.097187 | 391 | 18 | 74 | 21.722222 | 0.603399 | 0 | 0 | 0 | 0 | 0 | 0.061381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8178087a6d24532c3fa392eae43c6d6a8b30612 | 4,595 | py | Python | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | null | null | null | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | 2 | 2019-07-31T23:14:14.000Z | 2020-12-26T16:27:02.000Z | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | 2 | 2019-07-31T22:22:06.000Z | 2020-07-14T04:58:16.000Z | from PyQt5.QtWidgets import QWidget, QApplication, QPushButton, QLabel, QLineEdit, QVBoxLayout, QMessageBox, QCheckBox,\
QSpinBox, QComboBox, QListWidget, QDialog, QFileDialog, QProgressBar, QTableWidget, QTableWidgetItem,\
QAbstractItemView, QSpinBox, QSplitter, QSizePolicy, QAbstractScrollArea, QHBoxLayout, Q... | 47.864583 | 120 | 0.654189 | 449 | 4,595 | 6.657016 | 0.289532 | 0.120442 | 0.138508 | 0.05353 | 0.264972 | 0.241552 | 0.128137 | 0.128137 | 0.057544 | 0.057544 | 0 | 0.009078 | 0.232862 | 4,595 | 96 | 121 | 47.864583 | 0.838865 | 0 | 0 | 0.045455 | 0 | 0 | 0.016536 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079545 | false | 0 | 0.056818 | 0 | 0.147727 | 0.011364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a81b25109e2c25d80338be4ee486823e581a2347 | 3,813 | py | Python | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | null | null | null | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | 1 | 2022-01-09T12:07:13.000Z | 2022-01-09T15:29:41.000Z | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | null | null | null | import os
import psutil
import json
import sqlite3
import threading
from datetime import datetime, timezone
from websocket import create_connection
class CustomHandler:
def __init__(self):
self.working = False
self.counter = 0
self.ws = None
if self.dbReady('./data/wiki_statsDB'):... | 32.87069 | 199 | 0.575924 | 445 | 3,813 | 4.847191 | 0.332584 | 0.040797 | 0.031525 | 0.034771 | 0.203987 | 0.159481 | 0.159481 | 0.121465 | 0.121465 | 0.078813 | 0 | 0.009157 | 0.312615 | 3,813 | 115 | 200 | 33.156522 | 0.813812 | 0 | 0 | 0.228261 | 0 | 0 | 0.218988 | 0.007606 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.076087 | 0 | 0.293478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a81fa302f2ff4cbc6dc18bbb647920f29a503d5e | 1,897 | py | Python | 2017/23b.py | mcbor/advent_of_code_2016 | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | 1 | 2016-12-17T10:53:22.000Z | 2016-12-17T10:53:22.000Z | 2017/23b.py | mcbor/adventofcode | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | null | null | null | 2017/23b.py | mcbor/adventofcode | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
23b.py
~~~~~~
Advent of Code 2017 - Day 23: Coprocessor Conflagration
Part Two
Now, it's time to fix the problem.
The debug mode switch is wired directly to register a. You flip the switch,
which makes register a now start at 1 when the pr... | 24.012658 | 79 | 0.615709 | 297 | 1,897 | 3.89899 | 0.542088 | 0.043178 | 0.02418 | 0.025907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035897 | 0.280443 | 1,897 | 78 | 80 | 24.320513 | 0.812454 | 0.508171 | 0 | 0.16129 | 0 | 0 | 0.045346 | 0 | 0 | 0 | 0 | 0 | 0.064516 | 1 | 0.096774 | false | 0 | 0.064516 | 0 | 0.354839 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a81fc289f1eb7f0a4f761bd960c55555bea22c98 | 4,456 | py | Python | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 20 11:59:50 2018
@author: klaus
"""
import numpy as np
import matplotlib.pyplot as plt
import time
import random
from argparse import ArgumentParser, RawTextHelpFormatter
class GameOfLife:
def __init__(self, width, height, interval, seed):
ran... | 41.64486 | 123 | 0.47711 | 521 | 4,456 | 4.001919 | 0.264875 | 0.069065 | 0.052758 | 0.031655 | 0.326139 | 0.306954 | 0.306954 | 0.235971 | 0.235971 | 0.228777 | 0 | 0.034879 | 0.414497 | 4,456 | 106 | 124 | 42.037736 | 0.764278 | 0.016607 | 0 | 0.154762 | 0 | 0 | 0.114808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.059524 | 0 | 0.142857 | 0.011905 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a820c01ed9ab1a3512b23d858002b832b81b6f26 | 506 | py | Python | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 6 | 2021-02-09T22:27:55.000Z | 2022-01-14T18:15:17.000Z | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 34 | 2021-02-09T22:23:33.000Z | 2022-03-31T16:22:51.000Z | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 12 | 2021-02-09T21:17:10.000Z | 2022-02-09T16:35:39.000Z | """
Export data from Tamr using df-connect. An example where everything is default in config file,
which implies exported data is written back to same database as ingested from.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.dat... | 36.142857 | 94 | 0.8083 | 79 | 506 | 4.949367 | 0.518987 | 0.069054 | 0.061381 | 0.061381 | 0.127877 | 0.127877 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102767 | 506 | 13 | 95 | 38.923077 | 0.861233 | 0.341897 | 0 | 0 | 0 | 0 | 0.24 | 0.132308 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8247bed0a1cb5051fa0d35c0fab64fca16aa20d | 1,396 | py | Python | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 32.465116 | 86 | 0.703438 | 223 | 1,396 | 4.345291 | 0.497758 | 0.06192 | 0.026832 | 0.033024 | 0.03096 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041703 | 0.175501 | 1,396 | 42 | 87 | 33.238095 | 0.800174 | 0.401862 | 0 | 0 | 0 | 0 | 0.035452 | 0 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0.05 | false | 0 | 0.3 | 0 | 0.35 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8276b0d3215a9fe2604eec700ad87c77dc2f29b | 769 | py | Python | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | 1 | 2020-05-13T19:16:23.000Z | 2020-05-13T19:16:23.000Z | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | null | null | null | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | null | null | null | from heapq import heappush, heappop
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __lt__(self, other):
return self.val < other.val
def mergeKLists(lists):
result = ListNode(-1)
p = result
heap = []
for l in lists:
if l: heappush(heap... | 17.477273 | 45 | 0.579974 | 121 | 769 | 3.619835 | 0.322314 | 0.136986 | 0.027397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054945 | 0.289987 | 769 | 44 | 46 | 17.477273 | 0.747253 | 0.019506 | 0 | 0.060606 | 0 | 0 | 0.001328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.030303 | 0.030303 | 0.212121 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a82a766dd5a8919e5aec354cbe63b71c9cd59549 | 2,297 | py | Python | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | 1 | 2021-07-09T11:51:04.000Z | 2021-07-09T11:51:04.000Z | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | null | null | null | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | null | null | null | import argparse
import glob
import numpy as np
import os
import skimage.io
import torch
import tifffile
from cellpose import models
def _parse_args():
"""Parse command-line arguments."""
parser = argparse.ArgumentParser()
parser.add_argument(
"-i",
"--input",
type=str,
def... | 25.241758 | 85 | 0.562908 | 284 | 2,297 | 4.43662 | 0.394366 | 0.042857 | 0.040476 | 0.042857 | 0.180952 | 0.120635 | 0.120635 | 0.065079 | 0.065079 | 0.065079 | 0 | 0.012141 | 0.318677 | 2,297 | 90 | 86 | 25.522222 | 0.792971 | 0.0431 | 0 | 0.256757 | 0 | 0 | 0.145405 | 0.015546 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.108108 | 0 | 0.148649 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a82b6067d87e3c320c8e0fb55b9b998dccade592 | 14,134 | py | Python | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | null | null | null | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | 1 | 2021-06-08T02:43:08.000Z | 2021-06-08T03:05:21.000Z | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | null | null | null | # # Customer cliff dive data challenge
# 2020-02-17
# Leslie Emery
# ## Summary
# ### The problem
# The head of the Yammer product team has noticed a precipitous drop in weekly active users, which is one of the main KPIs for customer engagement. What has caused this drop?
# ### My approach and results
# I began b... | 51.963235 | 524 | 0.743809 | 2,168 | 14,134 | 4.660978 | 0.223247 | 0.038001 | 0.032063 | 0.03048 | 0.35052 | 0.307472 | 0.254132 | 0.215636 | 0.192083 | 0.15616 | 0 | 0.008326 | 0.150276 | 14,134 | 271 | 525 | 52.154982 | 0.833056 | 0.417787 | 0 | 0.163265 | 0 | 0.006803 | 0.22371 | 0.045332 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.061224 | 0 | 0.061224 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a82c200cd117a48cc9a2ebacd146f50b56baabcf | 23,587 | py | Python | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 128 | 2016-05-10T01:38:27.000Z | 2022-02-04T07:14:12.000Z | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 6 | 2016-07-19T09:27:47.000Z | 2021-07-08T21:22:32.000Z | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 36 | 2016-05-11T08:57:26.000Z | 2021-07-07T02:37:07.000Z | from collections import defaultdict
import heapq
from itertools import chain, repeat
from feature_dict import FeatureDictionary
import json
import numpy as np
import scipy.sparse as sp
class TokenCodeNamingData:
SUBTOKEN_START = "%START%"
SUBTOKEN_END = "%END%"
NONE = "%NONE%"
@staticmethod
def _... | 51.953744 | 143 | 0.644338 | 3,038 | 23,587 | 4.682357 | 0.087558 | 0.022777 | 0.020387 | 0.035571 | 0.68471 | 0.651107 | 0.624394 | 0.603866 | 0.578278 | 0.554517 | 0 | 0.008087 | 0.255607 | 23,587 | 453 | 144 | 52.068433 | 0.802085 | 0.061347 | 0 | 0.497222 | 0 | 0 | 0.003678 | 0 | 0 | 0 | 0 | 0.002208 | 0.061111 | 1 | 0.069444 | false | 0 | 0.019444 | 0.002778 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a82c44a1683f511d5f99fbda3a6f12bd84f86c4c | 550 | py | Python | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | null | null | null | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | 1 | 2021-02-27T06:12:07.000Z | 2021-03-01T14:32:39.000Z | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | 1 | 2021-02-27T06:14:55.000Z | 2021-02-27T06:14:55.000Z | words = open("words.txt", "r")
words = [x.rstrip("\n") for x in words.readlines()]
refwords = open("referencewords.txt", "r")
refwords = [x.strip("\n") for x in refwords.readlines()]
def find_word(word):
retunrval = False
if word.lower() in words:
retunrval = True
return retunrval
words_needed = []
def main():
... | 20.37037 | 56 | 0.650909 | 81 | 550 | 4.358025 | 0.37037 | 0.05949 | 0.028329 | 0.03966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.187273 | 550 | 27 | 57 | 20.37037 | 0.789709 | 0 | 0 | 0 | 0 | 0 | 0.061706 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.136364 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a82ef552d3bf70dc77e897c13a1b0f9b584ffa9d | 3,359 | py | Python | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | 1 | 2021-05-24T08:00:29.000Z | 2021-05-24T08:00:29.000Z | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | null | null | null | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | 1 | 2021-09-29T03:43:46.000Z | 2021-09-29T03:43:46.000Z | # -*- coding: utf-8 -*-
"""
@author: Terada
"""
from keras.models import Sequential, Model
from keras.layers import Dense, MaxPooling2D, Flatten, Dropout
from keras.layers import Conv2D, BatchNormalization, ZeroPadding2D, MaxPool2D
from keras.layers import Input, Convolution2D, AveragePooling2D, merge, Reshape, Activat... | 42.518987 | 122 | 0.677583 | 469 | 3,359 | 4.784648 | 0.181237 | 0.128342 | 0.068627 | 0.088235 | 0.665775 | 0.620321 | 0.566845 | 0.487077 | 0.4541 | 0.407754 | 0 | 0.072772 | 0.144984 | 3,359 | 78 | 123 | 43.064103 | 0.708565 | 0.036023 | 0 | 0.514706 | 0 | 0 | 0.041525 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.073529 | 0 | 0.191176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a830be9674eca4b0486b3f40d92cbb270322784c | 2,327 | py | Python | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | 7 | 2019-03-04T14:28:53.000Z | 2022-01-31T12:11:53.000Z | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | null | null | null | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | 4 | 2019-03-04T14:29:01.000Z | 2022-01-31T12:11:40.000Z | # Coded By : Ismael Al-safadi
from win32gui import GetWindowText, GetForegroundWindow
from pyperclip import copy
from re import findall
from win32clipboard import OpenClipboard , GetClipboardData , CloseClipboard
from time import sleep
class BitcoinDroper:
"""
class for spoofing Bitcoin Wallet address... | 31.026667 | 96 | 0.628277 | 277 | 2,327 | 5.108303 | 0.34657 | 0.055124 | 0.060071 | 0.018375 | 0.039576 | 0.039576 | 0 | 0 | 0 | 0 | 0 | 0.007932 | 0.29566 | 2,327 | 74 | 97 | 31.445946 | 0.8554 | 0.243661 | 0 | 0.212766 | 0 | 0 | 0.054434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148936 | false | 0 | 0.106383 | 0.021277 | 0.382979 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8347276bdea4347d1187329f50e22db158c90b3 | 5,096 | py | Python | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | 4 | 2020-02-13T18:57:41.000Z | 2020-08-03T21:08:26.000Z | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | null | null | null | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | 1 | 2021-06-14T13:42:39.000Z | 2021-06-14T13:42:39.000Z | import urllib.parse, urllib.request,json
import time
import hmac, hashlib,random,base64
#yahoo stuff
#client ID dj0yJmk9S3owYWNNcm1jS3VIJmQ9WVdrOU1HMUZiMHh5TjJNbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD0xOQ--
#client secret ID fcde44eb1bf2a7ff474b9fd861a6fcf33be56d3f
def setConsumerCreds(cons_key,cons_s... | 41.770492 | 116 | 0.724882 | 518 | 5,096 | 6.978764 | 0.247104 | 0.032365 | 0.014385 | 0.026556 | 0.296819 | 0.260858 | 0.232089 | 0.167358 | 0.100692 | 0.080221 | 0 | 0.015684 | 0.161695 | 5,096 | 121 | 117 | 42.115702 | 0.830524 | 0.040424 | 0 | 0.12381 | 0 | 0 | 0.090145 | 0.012088 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12381 | false | 0 | 0.028571 | 0.028571 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a8347a798c6edcafbe98def909244e3a366c1264 | 5,246 | py | Python | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 9 | 2017-05-27T20:42:46.000Z | 2020-11-12T21:03:28.000Z | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 30 | 2017-02-16T19:43:18.000Z | 2018-01-17T21:17:01.000Z | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 6 | 2017-02-24T03:40:04.000Z | 2020-11-22T20:29:11.000Z |
import os, sys, logging, threading, tempfile, shutil, tarfile, inspect
from ConfigParser import RawConfigParser
import requests
from DXLiquidIntelApi import DXLiquidIntelApi
log = logging.getLogger(__name__)
class UpdateManager:
def __init__(self, liquidApi, packageType, checkUnpublished, packageCheckInterval, c... | 51.940594 | 191 | 0.62276 | 510 | 5,246 | 6.319608 | 0.411765 | 0.014893 | 0.009308 | 0.008688 | 0.017375 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002186 | 0.302326 | 5,246 | 100 | 192 | 52.46 | 0.878415 | 0.138582 | 0 | 0.052632 | 0 | 0.013158 | 0.130551 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092105 | false | 0.013158 | 0.052632 | 0.026316 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a834a938200061353abd64e3aa79cc1eac77b3bf | 2,511 | py | Python | python/jinja2_template.py | bismog/leetcode | 13b8a77045f96e7c59ddfe287481f6aaa68e564d | [
"MIT"
] | null | null | null | python/jinja2_template.py | bismog/leetcode | 13b8a77045f96e7c59ddfe287481f6aaa68e564d | [
"MIT"
] | null | null | null | python/jinja2_template.py | bismog/leetcode | 13b8a77045f96e7c59ddfe287481f6aaa68e564d | [
"MIT"
] | 1 | 2018-08-17T07:07:15.000Z | 2018-08-17T07:07:15.000Z | #!/usr/bin/env python
import os
from jinja2 import Environment, FileSystemLoader
PATH = os.path.dirname(os.path.abspath(__file__))
env = Environment(loader=FileSystemLoader(os.path.join(PATH, 'templates')))
mac_addr = "01:23:45:67:89:01"
PXE_ROOT_DIR = "/data/tftpboot"
pxe_options = {
'os_distribution': 'centos... | 31 | 84 | 0.68419 | 364 | 2,511 | 4.486264 | 0.318681 | 0.024495 | 0.029394 | 0.029394 | 0.22229 | 0.169626 | 0.119412 | 0.05695 | 0.05695 | 0 | 0 | 0.011679 | 0.181601 | 2,511 | 80 | 85 | 31.3875 | 0.782968 | 0.329351 | 0 | 0 | 0 | 0 | 0.159669 | 0.031807 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.236842 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a837db7dbbd9e3811093f9342986a637e65f9e07 | 1,101 | py | Python | school_system/users/admin.py | SanyaDeath/BIA-school-system | d07e4e86f91cf1e24c211cc9f5524c50da45b0e5 | [
"BSD-3-Clause"
] | null | null | null | school_system/users/admin.py | SanyaDeath/BIA-school-system | d07e4e86f91cf1e24c211cc9f5524c50da45b0e5 | [
"BSD-3-Clause"
] | null | null | null | school_system/users/admin.py | SanyaDeath/BIA-school-system | d07e4e86f91cf1e24c211cc9f5524c50da45b0e5 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as DjangoUserAdmin
from .models import Student, User
admin.site.site_header = 'BIA SCHOOL SYSTEM'
class UserAdmin(DjangoUserAdmin):
model = User
fieldsets = DjangoUserAdmin.fieldsets + ((None, {
'fields': ('role', 'midd... | 28.230769 | 66 | 0.613079 | 119 | 1,101 | 5.478992 | 0.411765 | 0.06135 | 0.069018 | 0.087423 | 0.197853 | 0.197853 | 0.156442 | 0.156442 | 0.156442 | 0.156442 | 0 | 0 | 0.254314 | 1,101 | 38 | 67 | 28.973684 | 0.794153 | 0 | 0 | 0.076923 | 0 | 0 | 0.197094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.115385 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5179adb5c10e59288f470f8fa76ecec344ba97b | 1,111 | py | Python | converter.py | ownerofworld/TDroidDesk | 5c773f15d764e6cff468bb39ed40dca5ba07d902 | [
"MIT"
] | 20 | 2017-02-22T18:36:57.000Z | 2022-03-23T11:03:35.000Z | converter.py | extratone/TDroidDesk | e778463e996368374c856e6154dc0885df1f3c11 | [
"MIT"
] | 3 | 2017-02-23T03:51:07.000Z | 2017-03-26T15:06:35.000Z | converter.py | extratone/TDroidDesk | e778463e996368374c856e6154dc0885df1f3c11 | [
"MIT"
] | 9 | 2017-02-23T19:39:20.000Z | 2022-01-02T03:28:01.000Z | # coding: utf-8
"""Converter module."""
import util
THEME = 'theme'
BACKGROUND = 'background'
class ThemeConverter(object):
"""Object that converts themes using given map file."""
def __init__(self, theme_map, transp_map):
"""Constructor."""
self.theme_map = theme_map
self.transp_m... | 26.452381 | 74 | 0.621062 | 131 | 1,111 | 5.015267 | 0.381679 | 0.100457 | 0.054795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002519 | 0.285329 | 1,111 | 41 | 75 | 27.097561 | 0.824937 | 0.212421 | 0 | 0 | 0 | 0 | 0.018116 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5195d6a3d0b3fd5a3b08706a1231fda25ed0eb8 | 2,252 | py | Python | py/DREAM/Settings/Equations/RunawayElectronDistribution.py | chalmersplasmatheory/DREAM | 715637ada94f5e35db16f23c2fd49bb7401f4a27 | [
"MIT"
] | 12 | 2020-09-07T11:19:10.000Z | 2022-02-17T17:40:19.000Z | py/DREAM/Settings/Equations/RunawayElectronDistribution.py | chalmersplasmatheory/DREAM | 715637ada94f5e35db16f23c2fd49bb7401f4a27 | [
"MIT"
] | 110 | 2020-09-02T15:29:24.000Z | 2022-03-09T09:50:01.000Z | py/DREAM/Settings/Equations/RunawayElectronDistribution.py | chalmersplasmatheory/DREAM | 715637ada94f5e35db16f23c2fd49bb7401f4a27 | [
"MIT"
] | 3 | 2021-05-21T13:24:31.000Z | 2022-02-11T14:43:12.000Z |
import numpy as np
from DREAM.Settings.Equations.EquationException import EquationException
from . import DistributionFunction as DistFunc
from . DistributionFunction import DistributionFunction
from .. TransportSettings import TransportSettings
INIT_FORWARD = 1
INIT_XI_NEGATIVE = 2
INIT_XI_POSITIVE = 3
INIT_ISOTROP... | 30.026667 | 83 | 0.655861 | 278 | 2,252 | 5.097122 | 0.366906 | 0.031757 | 0.067749 | 0.048694 | 0.149612 | 0.08892 | 0.0494 | 0 | 0 | 0 | 0 | 0.020784 | 0.25222 | 2,252 | 74 | 84 | 30.432432 | 0.820665 | 0.150089 | 0 | 0 | 0 | 0 | 0.015608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b51c95bad3faa026a48a62db4fc8bca989c644e2 | 7,561 | py | Python | data/unaligned_dataset.py | basicskywards/cyclegan-yolo | 536498706da30707facf1211355ff21df2e5b227 | [
"BSD-3-Clause"
] | null | null | null | data/unaligned_dataset.py | basicskywards/cyclegan-yolo | 536498706da30707facf1211355ff21df2e5b227 | [
"BSD-3-Clause"
] | null | null | null | data/unaligned_dataset.py | basicskywards/cyclegan-yolo | 536498706da30707facf1211355ff21df2e5b227 | [
"BSD-3-Clause"
] | null | null | null | import os.path
import torchvision.transforms as transforms
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import PIL
from pdb import set_trace as st
import torch
import numpy as np
#from yolo.utils.datasets import pad
#import torchvision.trans... | 40.005291 | 206 | 0.562492 | 1,031 | 7,561 | 3.903977 | 0.173618 | 0.017391 | 0.019876 | 0.017888 | 0.358261 | 0.308571 | 0.244969 | 0.201491 | 0.172671 | 0.159255 | 0 | 0.015264 | 0.289512 | 7,561 | 188 | 207 | 40.218085 | 0.733991 | 0.297183 | 0 | 0.020619 | 0 | 0 | 0.0518 | 0.004761 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061856 | false | 0 | 0.103093 | 0.020619 | 0.226804 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b51f90c659e185b69613117f368541efd8ec132f | 8,396 | py | Python | primare_control/primare_interface.py | ZenithDK/primare-control | 597a2dd15bedb511fab5cca8d01044692d1e2d96 | [
"Apache-2.0"
] | null | null | null | primare_control/primare_interface.py | ZenithDK/primare-control | 597a2dd15bedb511fab5cca8d01044692d1e2d96 | [
"Apache-2.0"
] | null | null | null | primare_control/primare_interface.py | ZenithDK/primare-control | 597a2dd15bedb511fab5cca8d01044692d1e2d96 | [
"Apache-2.0"
] | null | null | null | """Interface to Primare amplifiers using Twisted SerialPort.
This module allows you to control your Primare I22 and I32 amplifier from the
command line using Primare's binary protocol via the RS232 port on the
amplifier.
"""
import logging
import click
from contextlib import closing
from primare_control import Prima... | 36.504348 | 79 | 0.47737 | 798 | 8,396 | 4.902256 | 0.288221 | 0.027607 | 0.021472 | 0.033742 | 0.221115 | 0.162065 | 0.126278 | 0.126278 | 0.126278 | 0.112986 | 0 | 0.01643 | 0.412816 | 8,396 | 229 | 80 | 36.663755 | 0.777079 | 0.137685 | 0 | 0.293413 | 0 | 0 | 0.129792 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02994 | false | 0.02994 | 0.023952 | 0 | 0.071856 | 0.005988 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b51fa08d66290d275d2da9e4167fcbc0a1d4e931 | 382 | py | Python | sjfxjc/foundations-for-analytics-with-python-master/csv/2csv_reader_parsing_and_write.py | SaronZhou/python | 40d73b49b9b17542c73a3c09d28e479d2fefcde3 | [
"MIT"
] | null | null | null | sjfxjc/foundations-for-analytics-with-python-master/csv/2csv_reader_parsing_and_write.py | SaronZhou/python | 40d73b49b9b17542c73a3c09d28e479d2fefcde3 | [
"MIT"
] | null | null | null | sjfxjc/foundations-for-analytics-with-python-master/csv/2csv_reader_parsing_and_write.py | SaronZhou/python | 40d73b49b9b17542c73a3c09d28e479d2fefcde3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import csv
import sys
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file, 'r', newline='') as csv_in_file:
with open(output_file, 'w', newline='') as csv_out_file:
filereader = csv.reader(csv_in_file, delimiter=',')
filewriter = csv.writer(csv_out_file, delimiter=',')
... | 29.384615 | 57 | 0.730366 | 61 | 382 | 4.344262 | 0.491803 | 0.067925 | 0.083019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008982 | 0.125654 | 382 | 13 | 58 | 29.384615 | 0.784431 | 0.054974 | 0 | 0 | 0 | 0 | 0.01108 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5220f9d88a447b033fc07fa837a16f3731fa688 | 1,971 | py | Python | ocrDA.py | it-pebune/ani-research-data-extraction | e8b0ffecb0835020ce7942223cf566dc45ccee35 | [
"MIT"
] | null | null | null | ocrDA.py | it-pebune/ani-research-data-extraction | e8b0ffecb0835020ce7942223cf566dc45ccee35 | [
"MIT"
] | 7 | 2022-01-29T22:19:55.000Z | 2022-03-28T18:18:19.000Z | ocrDA.py | it-pebune/ani-research-data-extraction | e8b0ffecb0835020ce7942223cf566dc45ccee35 | [
"MIT"
] | null | null | null |
import json
from NewDeclarationInQueue.formular_converter import FormularConverter
from NewDeclarationInQueue.preprocess_one_step import PreprocessOneStep
from NewDeclarationInQueue.preprocess_two_steps import PreProcessTwoSteps
from NewDeclarationInQueue.processfiles.customprocess.search_text_line_parameter import Se... | 38.647059 | 112 | 0.811771 | 235 | 1,971 | 6.395745 | 0.289362 | 0.08982 | 0.123087 | 0.0998 | 0.049235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129376 | 1,971 | 50 | 113 | 39.42 | 0.875874 | 0.125824 | 0 | 0 | 0 | 0 | 0.015734 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.433333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b525a442d992316233f044f50e799f9a075c90fa | 1,270 | py | Python | app/users/tasks.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | 2 | 2020-08-02T10:06:19.000Z | 2022-03-29T06:10:57.000Z | app/users/tasks.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | null | null | null | app/users/tasks.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | 2 | 2019-02-03T15:44:02.000Z | 2021-03-09T07:30:28.000Z | import xlrd
from app.services.extension import task_server, sqlalchemy as db
from app.models.core.user import User
from app.application import initialize_app
try:
from app.config.production import ProductionConfig as config_object
except ImportError:
from app.config.local import LocalConfig as config_object
... | 27.608696 | 71 | 0.607874 | 157 | 1,270 | 4.770701 | 0.509554 | 0.046729 | 0.034713 | 0.024032 | 0.048064 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009934 | 0.286614 | 1,270 | 46 | 72 | 27.608696 | 0.816777 | 0.019685 | 0 | 0 | 0 | 0 | 0.049035 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0.027027 | 0.189189 | 0 | 0.243243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b526e227b8af6adb71768eb4900aaf57a69f1acb | 3,444 | py | Python | savenger.py | SlapBot/GodkillerArmor | 27058332cd94c4389b092a621eeedc834d8f5a15 | [
"MIT"
] | 3 | 2018-07-06T17:06:28.000Z | 2018-09-06T03:31:43.000Z | savenger.py | SlapBot/GodkillerArmor | 27058332cd94c4389b092a621eeedc834d8f5a15 | [
"MIT"
] | null | null | null | savenger.py | SlapBot/GodkillerArmor | 27058332cd94c4389b092a621eeedc834d8f5a15 | [
"MIT"
] | 1 | 2018-07-10T00:13:07.000Z | 2018-07-10T00:13:07.000Z | from praw import Reddit
import random
class Savenger:
AVENGERS = ["Iron Man", "Doctor Strange", "Star-Lord", "Black Widow", "Thor",
"Spider-Man", "Captain America", "Wanda Maximoff", "Bucky Barnes",
"Loki", "Hulk", "Black Panther", "Vision", "Gamora", "Drax", "Nebula",
... | 44.727273 | 108 | 0.626597 | 370 | 3,444 | 5.683784 | 0.318919 | 0.029957 | 0.033286 | 0.043272 | 0.162625 | 0.162625 | 0.162625 | 0.07418 | 0 | 0 | 0 | 0 | 0.278165 | 3,444 | 76 | 109 | 45.315789 | 0.845937 | 0 | 0 | 0.166667 | 0 | 0.015152 | 0.256969 | 0.044715 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0.030303 | 0.030303 | 0.015152 | 0.287879 | 0.212121 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b52a4b91de40afb841386437bc92df7dcd61942d | 1,493 | py | Python | python-packages/pyRiemann-0.2.2/pyriemann/channelselection.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | 2 | 2017-08-13T14:09:32.000Z | 2018-07-16T23:39:00.000Z | python-packages/pyRiemann-0.2.2/pyriemann/channelselection.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | null | null | null | python-packages/pyRiemann-0.2.2/pyriemann/channelselection.py | rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | ee45bee6f96cdb6d91184abc16f41bba1546c943 | [
"BSD-3-Clause"
] | 2 | 2018-04-02T06:45:11.000Z | 2018-07-16T23:39:02.000Z | from .utils.distance import distance
from .classification import MDM
import numpy
from sklearn.base import BaseEstimator, TransformerMixin
##########################################################
class ElectrodeSelection(BaseEstimator, TransformerMixin):
def __init__(self, nelec=16, metric='riemann'):
... | 31.765957 | 62 | 0.464836 | 153 | 1,493 | 4.503268 | 0.326797 | 0.143687 | 0.060958 | 0.040639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009751 | 0.381782 | 1,493 | 46 | 63 | 32.456522 | 0.736728 | 0.005358 | 0 | 0.055556 | 0 | 0 | 0.004912 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.111111 | 0.027778 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b52daf8a9a6916b3bc3be9fb6b077491427da67f | 1,728 | py | Python | mac_changer.py | xicoder96/luv-sic | 033527b558c3e4d7f254dca1e2f6f0ccf9ff78fe | [
"MIT"
] | null | null | null | mac_changer.py | xicoder96/luv-sic | 033527b558c3e4d7f254dca1e2f6f0ccf9ff78fe | [
"MIT"
] | null | null | null | mac_changer.py | xicoder96/luv-sic | 033527b558c3e4d7f254dca1e2f6f0ccf9ff78fe | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import subprocess
import re
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--interface", dest="interface",
help="interface to change mac address")
parser.add_argument("-m", "--mac", dest="new_mac",
... | 33.230769 | 79 | 0.65162 | 221 | 1,728 | 4.918552 | 0.316742 | 0.020239 | 0.027599 | 0.033119 | 0.236431 | 0.158234 | 0.158234 | 0.01104 | 0.01104 | 0.01104 | 0 | 0.001468 | 0.211806 | 1,728 | 51 | 80 | 33.882353 | 0.796623 | 0.012153 | 0 | 0.1 | 0 | 0.025 | 0.292497 | 0.016999 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.075 | 0 | 0.2 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b53016b4f1a8a22aaafbf177615312636a59d031 | 1,916 | py | Python | training/model.py | J77M/stuffy-nose-recognition | e5d8957e2026e9046e6ffee69a60a11a686bc042 | [
"MIT"
] | null | null | null | training/model.py | J77M/stuffy-nose-recognition | e5d8957e2026e9046e6ffee69a60a11a686bc042 | [
"MIT"
] | null | null | null | training/model.py | J77M/stuffy-nose-recognition | e5d8957e2026e9046e6ffee69a60a11a686bc042 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
import time
import utils
path = r'data/'
x, y = utils.reload_data(path)
inp_shape = (x[0].shape[0],1)
x = np.array(x).reshape(-1, 1000, 1)# change 1000 to your sample lenght if you changed frame (= CHUNK ) or RESOLUTION
# prepared for testing and evaluating. try other comb... | 39.102041 | 173 | 0.641441 | 256 | 1,916 | 4.625 | 0.382813 | 0.053209 | 0.059122 | 0.088682 | 0.274493 | 0.217905 | 0.191723 | 0.162162 | 0.092905 | 0.092905 | 0 | 0.023826 | 0.233299 | 1,916 | 49 | 174 | 39.102041 | 0.782165 | 0.080898 | 0 | 0.055556 | 0 | 0 | 0.092098 | 0.039795 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5325a85e324486debcb82eb330c6fd293cb8cf4 | 1,306 | py | Python | game/game/protocol.py | maosplx/L2py | 5d81b2ea150c0096cfce184706fa226950f7f583 | [
"MIT"
] | 7 | 2020-09-01T21:52:37.000Z | 2022-02-25T16:00:08.000Z | game/game/protocol.py | maosplx/L2py | 5d81b2ea150c0096cfce184706fa226950f7f583 | [
"MIT"
] | 4 | 2021-09-10T22:15:09.000Z | 2022-03-25T22:17:43.000Z | game/game/protocol.py | maosplx/L2py | 5d81b2ea150c0096cfce184706fa226950f7f583 | [
"MIT"
] | 9 | 2020-09-01T21:53:39.000Z | 2022-03-30T12:03:04.000Z | import logging
from common.api_handlers import handle_request
from common.packet import Packet
from common.response import Response
from common.transport.protocol import TCPProtocol
from game.models.world import WORLD
from game.session import GameSession
from game.states import Connected
LOG = logging.getLogger(f"l2p... | 30.372093 | 79 | 0.658499 | 146 | 1,306 | 5.760274 | 0.431507 | 0.092747 | 0.014269 | 0.035672 | 0.054697 | 0.054697 | 0 | 0 | 0 | 0 | 0 | 0.00207 | 0.260337 | 1,306 | 42 | 80 | 31.095238 | 0.86853 | 0 | 0 | 0.058824 | 0 | 0 | 0.048239 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b536ac94f02abdab43e5ca604aa965f6ad2715d0 | 1,394 | py | Python | pyoptmat/solvers.py | Argonne-National-Laboratory/pyoptmat | a6e5e8d0b93c77374d4ccbc65a86262eec5df77b | [
"MIT"
] | null | null | null | pyoptmat/solvers.py | Argonne-National-Laboratory/pyoptmat | a6e5e8d0b93c77374d4ccbc65a86262eec5df77b | [
"MIT"
] | 1 | 2022-03-30T22:20:38.000Z | 2022-03-31T15:02:22.000Z | pyoptmat/solvers.py | Argonne-National-Laboratory/pyoptmat | a6e5e8d0b93c77374d4ccbc65a86262eec5df77b | [
"MIT"
] | 2 | 2021-11-16T15:13:54.000Z | 2022-01-06T21:35:42.000Z | import torch
import warnings
def newton_raphson(fn, x0, linsolver = "lu", rtol = 1e-6, atol = 1e-10,
miter = 100):
"""
Solve a nonlinear system with Newton's method. Return the
solution and the last Jacobian
Args:
fn: function that returns the residual and Jacobian
x0:... | 27.333333 | 82 | 0.585366 | 191 | 1,394 | 4.246073 | 0.471204 | 0.059186 | 0.009864 | 0.01233 | 0.051788 | 0.051788 | 0.051788 | 0.051788 | 0.051788 | 0.051788 | 0 | 0.021784 | 0.308465 | 1,394 | 50 | 83 | 27.88 | 0.819502 | 0.422525 | 0 | 0.166667 | 0 | 0 | 0.127572 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5373a616def2b1d58dca3805f309b56a4c149e0 | 323 | py | Python | Algo and DSA/LeetCode-Solutions-master/Python/number-of-substrings-with-only-1s.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 3,269 | 2018-10-12T01:29:40.000Z | 2022-03-31T17:58:41.000Z | Algo and DSA/LeetCode-Solutions-master/Python/number-of-substrings-with-only-1s.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 53 | 2018-12-16T22:54:20.000Z | 2022-02-25T08:31:20.000Z | Algo and DSA/LeetCode-Solutions-master/Python/number-of-substrings-with-only-1s.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 1,236 | 2018-10-12T02:51:40.000Z | 2022-03-30T13:30:37.000Z | # Time: O(n)
# Space: O(1)
class Solution(object):
def numSub(self, s):
"""
:type s: str
:rtype: int
"""
MOD = 10**9+7
result, count = 0, 0
for c in s:
count = count+1 if c == '1' else 0
result = (result+count)%MOD
return resu... | 20.1875 | 46 | 0.436533 | 44 | 323 | 3.204545 | 0.659091 | 0.156028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054054 | 0.427245 | 323 | 15 | 47 | 21.533333 | 0.708108 | 0.151703 | 0 | 0 | 0 | 0 | 0.004149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b537ff6eac7f94b76cf8db09b3957cee998efb52 | 4,531 | py | Python | usecase-2/monitoring/fleet-seat-info-monitor/src/seat_res_train_monitor.py | edgefarm/edgefarm-demos | 6381d4a2f7f9c1d0632ab8123fed2bd0763d3b34 | [
"MIT"
] | null | null | null | usecase-2/monitoring/fleet-seat-info-monitor/src/seat_res_train_monitor.py | edgefarm/edgefarm-demos | 6381d4a2f7f9c1d0632ab8123fed2bd0763d3b34 | [
"MIT"
] | 9 | 2021-04-21T10:37:45.000Z | 2021-07-28T05:56:50.000Z | usecase-2/monitoring/fleet-seat-info-monitor/src/seat_res_train_monitor.py | edgefarm/train-simulation | 6381d4a2f7f9c1d0632ab8123fed2bd0763d3b34 | [
"MIT"
] | null | null | null | import logging
import datetime
import asyncio
from edgefarm_application.base.application_module import application_module_network_nats
from edgefarm_application.base.avro import schemaless_decode
from run_task import run_task
from state_tracker import StateTracker
from schema_loader import schema_load
_logger = logg... | 31.685315 | 96 | 0.608034 | 549 | 4,531 | 4.73224 | 0.238616 | 0.037721 | 0.028868 | 0.024634 | 0.156274 | 0.111624 | 0.070824 | 0.070824 | 0.026944 | 0 | 0 | 0.001888 | 0.29861 | 4,531 | 142 | 97 | 31.908451 | 0.815607 | 0.060252 | 0 | 0.115385 | 0 | 0 | 0.110227 | 0.005065 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.076923 | 0.009615 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b538595bde41c89c5a8fbdc33e2ae560a927b953 | 1,597 | py | Python | src/AML/run_training.py | monkeypants/CartridgeOCR | a2cdaa72e3839a881118b85f5ff7b4515579004b | [
"MIT"
] | 2 | 2021-07-12T02:37:46.000Z | 2021-12-28T23:03:20.000Z | src/AML/run_training.py | monkeypants/CartridgeOCR | a2cdaa72e3839a881118b85f5ff7b4515579004b | [
"MIT"
] | 28 | 2021-12-29T00:51:24.000Z | 2022-03-24T08:03:59.000Z | src/AML/run_training.py | monkeypants/CartridgeOCR | a2cdaa72e3839a881118b85f5ff7b4515579004b | [
"MIT"
] | 4 | 2021-09-24T16:13:43.000Z | 2022-03-09T17:52:35.000Z | import sys
from azureml.core import Workspace, Experiment, Environment, ScriptRunConfig
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core.compute_target import ComputeTargetException
from shutil import copy
ws = Workspace.from_config()
# Choose a name for your CPU cluster
# cpu_cluster_name... | 35.488889 | 86 | 0.708203 | 187 | 1,597 | 5.834225 | 0.475936 | 0.082493 | 0.064161 | 0.04033 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004688 | 0.198497 | 1,597 | 44 | 87 | 36.295455 | 0.847656 | 0.068253 | 0 | 0 | 0 | 0 | 0.117925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16129 | 0 | 0.16129 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b538fc619dc6adad01e93a8132a517e7cc8b2d80 | 818 | py | Python | tests/conftest.py | cielavenir/pyppmd-py2 | c148b8fbe7cb0c0e9f68fdf9a1c3599325f0e4c8 | [
"BSD-3-Clause"
] | 3 | 2021-05-04T13:20:39.000Z | 2021-11-03T12:43:02.000Z | tests/conftest.py | cielavenir/pyppmd-py2 | c148b8fbe7cb0c0e9f68fdf9a1c3599325f0e4c8 | [
"BSD-3-Clause"
] | 39 | 2021-04-16T02:55:28.000Z | 2022-03-30T14:23:50.000Z | tests/conftest.py | cielavenir/pyppmd-py2 | c148b8fbe7cb0c0e9f68fdf9a1c3599325f0e4c8 | [
"BSD-3-Clause"
] | 3 | 2021-07-07T17:39:30.000Z | 2022-03-30T15:15:44.000Z | import cpuinfo
def pytest_benchmark_update_json(config, benchmarks, output_json):
"""Calculate compression/decompression speed and add as extra_info"""
for benchmark in output_json["benchmarks"]:
if "data_size" in benchmark["extra_info"]:
rate = benchmark["extra_info"].get("data_size", 0.0... | 43.052632 | 110 | 0.684597 | 109 | 818 | 4.862385 | 0.40367 | 0.079245 | 0.075472 | 0.090566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00292 | 0.162592 | 818 | 18 | 111 | 45.444444 | 0.770803 | 0.077017 | 0 | 0 | 0 | 0 | 0.233645 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b53920dd20dbdafabadb24be44f2a512437147fb | 331 | py | Python | examples/test_gcld3.py | lbp0200/EasyNMT | d253e9346996a47aa989bb33aed72e531528dc27 | [
"Apache-2.0"
] | null | null | null | examples/test_gcld3.py | lbp0200/EasyNMT | d253e9346996a47aa989bb33aed72e531528dc27 | [
"Apache-2.0"
] | null | null | null | examples/test_gcld3.py | lbp0200/EasyNMT | d253e9346996a47aa989bb33aed72e531528dc27 | [
"Apache-2.0"
] | null | null | null | import time
import gcld3
detector = gcld3.NNetLanguageIdentifier(min_num_bytes=0,
max_num_bytes=1000)
# text = "This text is written in English"
text = "薄雾"
while True:
result = detector.FindLanguage(text=text)
print(text, result.probability, result.language)
time.s... | 25.461538 | 59 | 0.65861 | 41 | 331 | 5.219512 | 0.658537 | 0.074766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040323 | 0.250755 | 331 | 12 | 60 | 27.583333 | 0.822581 | 0.120846 | 0 | 0 | 0 | 0 | 0.00692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b539e3fd28c31f9e28937feef603fdbd7a3fc98e | 1,593 | py | Python | src/0075下一个排列/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | src/0075下一个排列/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | src/0075下一个排列/index.py | zzh2036/OneDayOneLeetcode | 1198692e68f8f0dbf15555e45969122e1a92840a | [
"MIT"
] | null | null | null | '''
实现获取 下一个排列 的函数,算法需要将给定数字序列重新排列成字典序中下一个更大的排列。
如果不存在下一个更大的排列,则将数字重新排列成最小的排列(即升序排列)。
必须 原地 修改,只允许使用额外常数空间。
示例 1:
输入:nums = [1,2,3]
输出:[1,3,2]
示例 2:
输入:nums = [3,2,1]
输出:[1,2,3]
示例 3:
输入:nums = [1,1,5]
输出:[1,5,1]
示例 4:
输入:nums = [1]
输出:[1]
提示:
1 <= nums.length <= 100
0 <= nums[i] <= 100
'''
class Solution:
... | 22.125 | 61 | 0.468927 | 199 | 1,593 | 3.713568 | 0.371859 | 0.040595 | 0.028417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054507 | 0.40113 | 1,593 | 71 | 62 | 22.43662 | 0.720126 | 0.310107 | 0 | 0 | 0 | 0 | 0.007533 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0 | 0 | 0.206897 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b53df049332ea39e2f7827214e41edfb7e42ca6c | 7,885 | py | Python | feed_forward_model.py | karlschrader/deepPD | 678793c9026eab2681d2d0a3b7e7f9f91c0f3bc5 | [
"MIT"
] | null | null | null | feed_forward_model.py | karlschrader/deepPD | 678793c9026eab2681d2d0a3b7e7f9f91c0f3bc5 | [
"MIT"
] | null | null | null | feed_forward_model.py | karlschrader/deepPD | 678793c9026eab2681d2d0a3b7e7f9f91c0f3bc5 | [
"MIT"
] | null | null | null | import os
from datetime import datetime
import numpy as np
import tensorflow as tf
from tensorflow.python.training import moving_averages
TF_DTYPE = tf.float64
MOMENTUM = 0.99
EPSILON = 1e-6
DELTA_CLIP = 50.0
class FeedForwardModel():
"""
Abstract class for creating neural networks.
Offers functions to ... | 38.842365 | 95 | 0.557261 | 872 | 7,885 | 4.824541 | 0.231651 | 0.01545 | 0.022819 | 0.02377 | 0.365581 | 0.314476 | 0.246019 | 0.214405 | 0.151652 | 0.151652 | 0 | 0.009419 | 0.367153 | 7,885 | 202 | 96 | 39.034653 | 0.833667 | 0.29423 | 0 | 0.281818 | 0 | 0 | 0.030564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.045455 | 0 | 0.163636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b540b40d9aaf331bef2f785083b2bbd7ed30bfe6 | 619 | py | Python | Fibonacci/Python/fibonacci.py | IanDoarn/LearningRepo | 4c5906b3c1f497a979c3fce89a66d1e571cd6b42 | [
"MIT"
] | null | null | null | Fibonacci/Python/fibonacci.py | IanDoarn/LearningRepo | 4c5906b3c1f497a979c3fce89a66d1e571cd6b42 | [
"MIT"
] | null | null | null | Fibonacci/Python/fibonacci.py | IanDoarn/LearningRepo | 4c5906b3c1f497a979c3fce89a66d1e571cd6b42 | [
"MIT"
] | null | null | null | """
Fibonacci sequence using python
generators
Written by: Ian Doarn
"""
def fib():
# Generator that yields fibonacci numbers
a, b = 0, 1
while True: # First iteration:
yield a # yield 0 to start with and then
a, b = b, a + b # a will now be 1, and b will also be 1,... | 23.807692 | 75 | 0.55412 | 97 | 619 | 3.402062 | 0.57732 | 0.018182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027094 | 0.344103 | 619 | 25 | 76 | 24.76 | 0.785714 | 0.466882 | 0 | 0 | 0 | 0 | 0.063291 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.090909 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b543f58cf6e8b8dc209086801165057172e20d3f | 1,711 | py | Python | scripts/test_spider_roundtrip.py | mattr1/seq2struct_forPRs | cdc9e3c94380fb479ed3e3c77f370038d27cf2d6 | [
"MIT"
] | 25 | 2019-07-16T22:32:44.000Z | 2022-01-25T05:23:07.000Z | scripts/test_spider_roundtrip.py | mattr1/seq2struct_forPRs | cdc9e3c94380fb479ed3e3c77f370038d27cf2d6 | [
"MIT"
] | 19 | 2018-12-17T20:42:11.000Z | 2020-02-12T21:29:51.000Z | scripts/test_spider_roundtrip.py | mattr1/seq2struct_forPRs | cdc9e3c94380fb479ed3e3c77f370038d27cf2d6 | [
"MIT"
] | 22 | 2019-03-16T05:57:27.000Z | 2020-10-25T04:34:54.000Z | import ast
import argparse
import json
import os
import pprint
import astor
import tqdm
import _jsonnet
from seq2struct import datasets
from seq2struct import grammars
from seq2struct.utils import registry
from third_party.spider import evaluation
def main():
parser = argparse.ArgumentParser()
parser.add_a... | 30.553571 | 102 | 0.663939 | 211 | 1,711 | 5.222749 | 0.417062 | 0.045372 | 0.046279 | 0.041742 | 0.161525 | 0.123412 | 0.079855 | 0.079855 | 0 | 0 | 0 | 0.013709 | 0.189947 | 1,711 | 55 | 103 | 31.109091 | 0.781385 | 0 | 0 | 0 | 0 | 0 | 0.124489 | 0.035652 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.285714 | 0 | 0.309524 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5473421d6c0b8e5ed5978ee678700c80296d6a9 | 1,340 | py | Python | utils/model_helper.py | CocoBir/django-restful-demo | aeb7f8a0bcff5c52b528c7b0c48f87de5f392320 | [
"MIT"
] | null | null | null | utils/model_helper.py | CocoBir/django-restful-demo | aeb7f8a0bcff5c52b528c7b0c48f87de5f392320 | [
"MIT"
] | null | null | null | utils/model_helper.py | CocoBir/django-restful-demo | aeb7f8a0bcff5c52b528c7b0c48f87de5f392320 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
model helper
~~~~~~~~~~~~
:Created: 2016-8-5
:Copyright: (c) 2016<smileboywtu@gmail.com>
"""
from customer_exceptions import OffsetOutOfRangeException
class ListModelHelper(object):
"""get the object list"""
@classmethod
def list(cls, index=0, limit=8, sor... | 23.103448 | 60 | 0.568657 | 144 | 1,340 | 5.263889 | 0.465278 | 0.031662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014161 | 0.314925 | 1,340 | 57 | 61 | 23.508772 | 0.811547 | 0.319403 | 0 | 0.095238 | 0 | 0 | 0.028424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0.047619 | 0.047619 | 0 | 0.380952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5484bee48cb34153d413c1639f3e4d36037235a | 2,323 | py | Python | tests/test_filters/test_edges.py | luluricketts/biothings_explorer | ae2009ff285f96a08e0145f242846ca613b5069c | [
"Apache-2.0"
] | null | null | null | tests/test_filters/test_edges.py | luluricketts/biothings_explorer | ae2009ff285f96a08e0145f242846ca613b5069c | [
"Apache-2.0"
] | null | null | null | tests/test_filters/test_edges.py | luluricketts/biothings_explorer | ae2009ff285f96a08e0145f242846ca613b5069c | [
"Apache-2.0"
] | null | null | null | """
Tests for edges.py
"""
import unittest
import pandas as pd
from biothings_explorer.user_query_dispatcher import SingleEdgeQueryDispatcher
from biothings_explorer.filters.edges import filter_node_degree
class TestFilterEdges(unittest.TestCase):
# test for count values
def test_count_values(self):
... | 40.754386 | 106 | 0.54025 | 233 | 2,323 | 5.23176 | 0.351931 | 0.059065 | 0.052502 | 0.091058 | 0.45119 | 0.415094 | 0.415094 | 0.359311 | 0.331419 | 0.331419 | 0 | 0.039624 | 0.359019 | 2,323 | 56 | 107 | 41.482143 | 0.779046 | 0.061989 | 0 | 0.340909 | 0 | 0 | 0.082988 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.068182 | false | 0 | 0.090909 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b54ed986a0849287fd62118ba89a87ae8732ba9e | 974 | py | Python | get_data.py | ryanw3bb/fpl | a06fbf8ada5f549f0750ed9af46f53b3a1a0149e | [
"MIT"
] | 1 | 2018-08-15T02:52:52.000Z | 2018-08-15T02:52:52.000Z | get_data.py | ryanw3bb/fpl | a06fbf8ada5f549f0750ed9af46f53b3a1a0149e | [
"MIT"
] | null | null | null | get_data.py | ryanw3bb/fpl | a06fbf8ada5f549f0750ed9af46f53b3a1a0149e | [
"MIT"
] | null | null | null | """
Retrieves data as json files from fantasy.premierleague.com
"""
import json
import requests
LAST_SEASON_DATA_FILENAME = "data/player_data_20_21.json"
DATA_URL = "https://fantasy.premierleague.com/api/bootstrap-static/"
DATA_FILENAME = "data/player_data_21_22.json"
FIXTURES_URL = "https://fantasy.premierleague.c... | 24.974359 | 68 | 0.74846 | 142 | 974 | 4.84507 | 0.288732 | 0.087209 | 0.100291 | 0.063953 | 0.468023 | 0.392442 | 0.229651 | 0.148256 | 0.148256 | 0.148256 | 0 | 0.014634 | 0.158111 | 974 | 38 | 69 | 25.631579 | 0.82439 | 0.145791 | 0 | 0.190476 | 0 | 0 | 0.227218 | 0.100851 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b54f720607fa63d495bc79cd36045e62028217a1 | 5,587 | py | Python | examples/spawning5.py | MissMeriel/BeamNGpy | a8467c57537441802bc5b56f0012dfee2b5f5af0 | [
"MIT"
] | 1 | 2021-08-10T19:29:52.000Z | 2021-08-10T19:29:52.000Z | examples/spawning5.py | MissMeriel/BeamNGpy | a8467c57537441802bc5b56f0012dfee2b5f5af0 | [
"MIT"
] | null | null | null | examples/spawning5.py | MissMeriel/BeamNGpy | a8467c57537441802bc5b56f0012dfee2b5f5af0 | [
"MIT"
] | null | null | null | from beamngpy import BeamNGpy, Vehicle, Scenario, ScenarioObject
from beamngpy import setup_logging, Config
from beamngpy.sensors import Camera, GForces, Lidar, Electrics, Damage, Timer
import beamngpy
import time, random
# globals
default_model = 'pickup'
default_scenario = 'west_coast_usa' #'cliff' # smallgrid
dt = ... | 36.51634 | 133 | 0.583139 | 685 | 5,587 | 4.632117 | 0.264234 | 0.015128 | 0.0104 | 0.022061 | 0.211787 | 0.173338 | 0.173338 | 0.162622 | 0.144343 | 0.113457 | 0 | 0.067558 | 0.263469 | 5,587 | 153 | 134 | 36.51634 | 0.703524 | 0.121711 | 0 | 0.12069 | 0 | 0 | 0.122466 | 0.01454 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043103 | false | 0 | 0.043103 | 0 | 0.137931 | 0.086207 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5526b9490a6617e9343309ab67db978943793e5 | 1,070 | py | Python | SmallTips/RemoveDuplication.py | Akasan/PythonTips | eee85c35fd25576c7b2b01af838749608bf8989c | [
"MIT"
] | null | null | null | SmallTips/RemoveDuplication.py | Akasan/PythonTips | eee85c35fd25576c7b2b01af838749608bf8989c | [
"MIT"
] | null | null | null | SmallTips/RemoveDuplication.py | Akasan/PythonTips | eee85c35fd25576c7b2b01af838749608bf8989c | [
"MIT"
] | null | null | null | import pickle
def remove_duplicate_from_list(data):
""" remove duplications from specific list
any data can be contained in the data.
if the data is hashable, you can implement this function easily like below.
data = list(set(data))
but if the data is unhashable, you have to im... | 36.896552 | 89 | 0.66729 | 161 | 1,070 | 4.291925 | 0.403727 | 0.014472 | 0.082489 | 0.099855 | 0.23589 | 0.196816 | 0.104197 | 0.104197 | 0.104197 | 0 | 0 | 0.017305 | 0.243925 | 1,070 | 28 | 90 | 38.214286 | 0.836836 | 0.534579 | 0 | 0.181818 | 0 | 0 | 0.042601 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.272727 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5533e6640dc60d29a04f82e1a7722aa55036807 | 7,226 | py | Python | ultraviolet_cli/commands/fixtures.py | mnyrop/ultraviolet-cli | f177adde71a899ca6775bd4673d30e19ccdb2a30 | [
"MIT"
] | 1 | 2022-02-08T18:28:30.000Z | 2022-02-08T18:28:30.000Z | ultraviolet_cli/commands/fixtures.py | mnyrop/ultraviolet-cli | f177adde71a899ca6775bd4673d30e19ccdb2a30 | [
"MIT"
] | null | null | null | ultraviolet_cli/commands/fixtures.py | mnyrop/ultraviolet-cli | f177adde71a899ca6775bd4673d30e19ccdb2a30 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2022 NYU Libraries.
#
# ultraviolet-cli is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Invenio module for custom UltraViolet commands."""
import click
import glob
import json
import os
imp... | 33.146789 | 128 | 0.63313 | 932 | 7,226 | 4.831545 | 0.216738 | 0.044415 | 0.062181 | 0.049745 | 0.617366 | 0.596713 | 0.573173 | 0.567177 | 0.540084 | 0.540084 | 0 | 0.003049 | 0.22848 | 7,226 | 217 | 129 | 33.299539 | 0.804664 | 0.07902 | 0 | 0.608392 | 0 | 0 | 0.180188 | 0.034488 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048951 | false | 0.013986 | 0.06993 | 0 | 0.132867 | 0.027972 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b55d244aa62443aced945674009694fb76ee238b | 1,834 | py | Python | src/function_manager/function_manager.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | 24 | 2021-12-02T01:00:54.000Z | 2022-03-27T00:50:28.000Z | src/function_manager/function_manager.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | null | null | null | src/function_manager/function_manager.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | 3 | 2021-12-02T01:00:47.000Z | 2022-03-04T07:33:09.000Z | import gevent
import docker
import os
from function_info import parse
from port_controller import PortController
from function import Function
import random
repack_clean_interval = 5.000 # repack and clean every 5 seconds
dispatch_interval = 0.005 # 200 qps at most
# the class for scheduling functions' int... | 37.428571 | 104 | 0.681025 | 229 | 1,834 | 5.222707 | 0.344978 | 0.055184 | 0.053512 | 0.052676 | 0.36204 | 0.348662 | 0.348662 | 0.32107 | 0.244147 | 0.091973 | 0 | 0.011429 | 0.236641 | 1,834 | 48 | 105 | 38.208333 | 0.842857 | 0.09542 | 0 | 0.166667 | 0 | 0 | 0.061644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138889 | false | 0 | 0.194444 | 0 | 0.388889 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b55f0ffd6458d9da1434363a2f94293d840e899b | 6,717 | py | Python | MalmoEnv/run.py | chemgymrl/malmo | 207e2530ec94af46450ba6d0e62d691ade91e282 | [
"MIT"
] | 1 | 2022-02-17T07:58:06.000Z | 2022-02-17T07:58:06.000Z | MalmoEnv/run.py | chemgymrl/malmo | 207e2530ec94af46450ba6d0e62d691ade91e282 | [
"MIT"
] | null | null | null | MalmoEnv/run.py | chemgymrl/malmo | 207e2530ec94af46450ba6d0e62d691ade91e282 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------------------------
# Copyright (c) 2018 Microsoft Corporation
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
# associated documentation files (the "Software"), to deal in the Software ... | 46.645833 | 128 | 0.650737 | 879 | 6,717 | 4.861206 | 0.333333 | 0.025275 | 0.047742 | 0.036508 | 0.083782 | 0.052422 | 0.029487 | 0.01451 | 0 | 0 | 0 | 0.01434 | 0.221379 | 6,717 | 143 | 129 | 46.972028 | 0.802677 | 0.37755 | 0 | 0.028571 | 0 | 0.014286 | 0.203812 | 0.012219 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.214286 | 0 | 0.271429 | 0.042857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b55f2629add10c43d98efae9012f1f13e3691bd5 | 1,172 | py | Python | example/wrapper/common/5001-get_tgpio_digital.py | krasin/xArm-Python-SDK-ssh | 9c854e8bfa78d0e91b67efbab79f733ddf19e916 | [
"BSD-3-Clause"
] | 62 | 2018-11-30T05:53:32.000Z | 2022-03-20T13:15:22.000Z | example/wrapper/common/5001-get_tgpio_digital.py | krasin/xArm-Python-SDK-ssh | 9c854e8bfa78d0e91b67efbab79f733ddf19e916 | [
"BSD-3-Clause"
] | 25 | 2019-08-12T18:53:41.000Z | 2021-12-28T10:17:39.000Z | example/wrapper/common/5001-get_tgpio_digital.py | krasin/xArm-Python-SDK-ssh | 9c854e8bfa78d0e91b67efbab79f733ddf19e916 | [
"BSD-3-Clause"
] | 43 | 2019-01-03T04:47:13.000Z | 2022-03-18T06:40:59.000Z | #!/usr/bin/env python3
# Software License Agreement (BSD License)
#
# Copyright (c) 2019, UFACTORY, Inc.
# All rights reserved.
#
# Author: Vinman <vinman.wen@ufactory.cc> <vinman.cub@gmail.com>
"""
Example: Get GPIO Digital
"""
import os
import sys
import time
sys.path.append(os.path.join(os.path.dirname(__file__), ... | 23.44 | 70 | 0.648464 | 175 | 1,172 | 4.251429 | 0.451429 | 0.064516 | 0.048387 | 0.026882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051064 | 0.197952 | 1,172 | 49 | 71 | 23.918367 | 0.740426 | 0.176621 | 0 | 0 | 0 | 0 | 0.135021 | 0.024262 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56057ff5dbd4cdc1d25d244ff87b18b26455492 | 544 | py | Python | 49-group anagrams/main.py | ytong82/leetcode | 34e08c430d654b14b1608211f74702f57e507189 | [
"Apache-2.0"
] | null | null | null | 49-group anagrams/main.py | ytong82/leetcode | 34e08c430d654b14b1608211f74702f57e507189 | [
"Apache-2.0"
] | null | null | null | 49-group anagrams/main.py | ytong82/leetcode | 34e08c430d654b14b1608211f74702f57e507189 | [
"Apache-2.0"
] | null | null | null | class Solution:
def groupAnagrams(self, strs):
l = len(strs)
if l == 0:
return []
map = dict()
for i in range(l):
key = ''.join(sorted(strs[i]))
if key in map.keys():
map[key].append(i)
else:
map[key] = ... | 22.666667 | 51 | 0.443015 | 68 | 544 | 3.544118 | 0.485294 | 0.062241 | 0.06639 | 0.099585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00304 | 0.395221 | 544 | 24 | 52 | 22.666667 | 0.729483 | 0 | 0 | 0 | 0 | 0 | 0.033028 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.210526 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b561af012e5087c35cc2997a33fe02fbbdb5ae5d | 2,429 | py | Python | vending.py | mit-dci/litvending | 28f8f2b51691eac7c69de153aafbe72663d9892c | [
"MIT"
] | 1 | 2018-06-20T01:42:54.000Z | 2018-06-20T01:42:54.000Z | vending.py | mit-dci/litvending | 28f8f2b51691eac7c69de153aafbe72663d9892c | [
"MIT"
] | null | null | null | vending.py | mit-dci/litvending | 28f8f2b51691eac7c69de153aafbe72663d9892c | [
"MIT"
] | 1 | 2022-02-15T06:48:15.000Z | 2022-02-15T06:48:15.000Z | #!/usr/bin/env python3
import os
import time
import sys
gpio = None
try:
import RPi.GPIO
gpio = RPi.GPIO
except:
print('RPi library not found. We\'re probably on a dev machine. Moving on...')
import lvconfig
import litrpc
# This could be more efficient, we're making a lot more requests than we need to.
def che... | 26.11828 | 136 | 0.669823 | 393 | 2,429 | 4.012723 | 0.445293 | 0.038047 | 0.022828 | 0.020292 | 0.076094 | 0.026633 | 0.026633 | 0 | 0 | 0 | 0 | 0.004639 | 0.201317 | 2,429 | 92 | 137 | 26.402174 | 0.808247 | 0.186085 | 0 | 0.089552 | 0 | 0 | 0.229908 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.089552 | 0 | 0.134328 | 0.149254 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56b02915f5cdfb61babcb70fc1c32bc2970b2fa | 597 | py | Python | Section02/ParsingChart.py | fosterleejoe/Developing-NLP-Applications-Using-NLTK-in-Python | f2cac32c02d0632fb89f32446388ef15d9926bbc | [
"MIT"
] | 67 | 2017-11-23T18:48:47.000Z | 2022-03-29T08:03:25.000Z | Section02/ParsingChart.py | fosterleejoe/Developing-NLP-Applications-Using-NLTK-in-Python | f2cac32c02d0632fb89f32446388ef15d9926bbc | [
"MIT"
] | null | null | null | Section02/ParsingChart.py | fosterleejoe/Developing-NLP-Applications-Using-NLTK-in-Python | f2cac32c02d0632fb89f32446388ef15d9926bbc | [
"MIT"
] | 49 | 2017-12-06T16:10:14.000Z | 2021-11-25T09:02:49.000Z | from nltk.grammar import CFG
from nltk.parse.chart import ChartParser, BU_LC_STRATEGY
grammar = CFG.fromstring("""
S -> T1 T4
T1 -> NNP VBZ
T2 -> DT NN
T3 -> IN NNP
T4 -> T3 | T2 T3
NNP -> 'Tajmahal' | 'Agra' | 'Bangalore' | 'Karnataka'
VBZ -> 'is'
IN -> 'in' | 'of'
DT -> 'the'
NN -> 'capital'
""")
cp = ChartParser(g... | 22.961538 | 56 | 0.676717 | 90 | 597 | 4.433333 | 0.511111 | 0.0401 | 0.06015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 0.155779 | 597 | 25 | 57 | 23.88 | 0.77381 | 0 | 0 | 0 | 0 | 0 | 0.386935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56c623a069eaa852720532015deec19073b3d1a | 5,526 | py | Python | sirbot/slack/wrapper.py | Ovvovy/sirbot-slack | 2d27e49cfbc2cb12e87ef3814823d2ad68d0a788 | [
"MIT"
] | 7 | 2017-05-06T11:37:25.000Z | 2018-11-22T09:46:32.000Z | sirbot/slack/wrapper.py | Ovvovy/sirbot-slack | 2d27e49cfbc2cb12e87ef3814823d2ad68d0a788 | [
"MIT"
] | 19 | 2017-05-07T16:25:02.000Z | 2017-09-22T08:02:59.000Z | sirbot/slack/wrapper.py | Ovvovy/sirbot-slack | 2d27e49cfbc2cb12e87ef3814823d2ad68d0a788 | [
"MIT"
] | 3 | 2017-05-06T11:37:28.000Z | 2017-07-07T09:32:54.000Z | import logging
from .store.user import User
from .errors import SlackInactiveDispatcher, SlackNoThread
logger = logging.getLogger(__name__)
class SlackWrapper:
"""
A class to compose all available functionality of the slack plugin.
An instance is offered to all incoming message of all the plugins to
... | 32.892857 | 79 | 0.596091 | 602 | 5,526 | 5.33887 | 0.19103 | 0.037337 | 0.047915 | 0.053205 | 0.398569 | 0.274113 | 0.247978 | 0.21313 | 0.21313 | 0.187617 | 0 | 0.000266 | 0.31958 | 5,526 | 167 | 80 | 33.08982 | 0.854521 | 0.05067 | 0 | 0.288889 | 0 | 0 | 0.027227 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.033333 | 0 | 0.122222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56d3d57d3b008ef213624e96067cf823658819f | 4,321 | py | Python | rc/returninfo/classifier.py | ddangelorb/gthbmining | a7d18623cd14a2ffd2508a4bb6a71b06a5f26215 | [
"MIT"
] | 4 | 2019-09-17T02:53:51.000Z | 2020-10-23T14:48:16.000Z | rc/returninfo/classifier.py | ddangelorb/gthbmining | a7d18623cd14a2ffd2508a4bb6a71b06a5f26215 | [
"MIT"
] | null | null | null | rc/returninfo/classifier.py | ddangelorb/gthbmining | a7d18623cd14a2ffd2508a4bb6a71b06a5f26215 | [
"MIT"
] | null | null | null | import warnings
warnings.filterwarnings('ignore') #ignore warnings to print values properly
import logging
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassif... | 50.244186 | 190 | 0.682249 | 526 | 4,321 | 5.385932 | 0.288973 | 0.022944 | 0.019061 | 0.031768 | 0.249912 | 0.235792 | 0.228733 | 0.133427 | 0.133427 | 0.133427 | 0 | 0.004342 | 0.200417 | 4,321 | 85 | 191 | 50.835294 | 0.81563 | 0.076603 | 0 | 0 | 0 | 0 | 0.228586 | 0.044461 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.203125 | 0 | 0.296875 | 0.140625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56dd907e3a9ba7c7134351a3ded86b0fead6823 | 183 | py | Python | run.py | sgilhuly/mire | 8ac07af9083831a03a1901c1bb655932111ae4cf | [
"MIT"
] | 2 | 2020-06-15T10:51:43.000Z | 2020-08-02T07:38:44.000Z | run.py | sgilhuly/mire | 8ac07af9083831a03a1901c1bb655932111ae4cf | [
"MIT"
] | null | null | null | run.py | sgilhuly/mire | 8ac07af9083831a03a1901c1bb655932111ae4cf | [
"MIT"
] | 1 | 2018-05-15T04:45:37.000Z | 2018-05-15T04:45:37.000Z | import sys
from app import app, socketio
if __name__ == "__main__":
if len(sys.argv) > 1:
port = int(sys.argv[1])
else:
port=5000
socketio.run(app, host="0.0.0.0", port=port) | 18.3 | 45 | 0.661202 | 33 | 183 | 3.424242 | 0.545455 | 0.053097 | 0.141593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065789 | 0.169399 | 183 | 10 | 45 | 18.3 | 0.677632 | 0 | 0 | 0 | 0 | 0 | 0.081522 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b56fc2f3040d889070f9fe524690dd7b2af07b3c | 1,004 | py | Python | pyFoam/extractForces.py | mjsauvinen/P4US | ba7bbc77a6e482f612ba5aa5f021a41fcbb23345 | [
"MIT"
] | 4 | 2017-06-10T13:34:29.000Z | 2021-10-08T14:33:43.000Z | pyFoam/extractForces.py | mjsauvinen/P4US | ba7bbc77a6e482f612ba5aa5f021a41fcbb23345 | [
"MIT"
] | 8 | 2018-07-10T12:00:49.000Z | 2021-09-16T13:58:59.000Z | pyFoam/extractForces.py | mjsauvinen/P4US | ba7bbc77a6e482f612ba5aa5f021a41fcbb23345 | [
"MIT"
] | 6 | 2019-05-03T07:29:12.000Z | 2022-01-21T03:10:27.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import numpy as np
import pylab as pl
from txtTools import openIOFile
# =*=*=*=* FUNCTION DEFINITIONS *=*=*=*=*=*=*=*=*=*=*=*
def isolateValues( line , stripChars ):
v = []
sl = line.split()
for i in xrange(len(sl)):
for sc in stripChars:
sl[i]... | 20.489796 | 55 | 0.531873 | 150 | 1,004 | 3.56 | 0.48 | 0.089888 | 0.022472 | 0.044944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014907 | 0.198207 | 1,004 | 49 | 56 | 20.489796 | 0.648447 | 0.168327 | 0 | 0 | 0 | 0 | 0.054152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.121212 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5742eb898932211cf75e05e216d0c94c86949cb | 418 | py | Python | examples/select.py | GBS3/cues | 09bce776f9275b71a4028e5c59103e45d81ebed6 | [
"MIT"
] | 1 | 2021-09-13T02:29:43.000Z | 2021-09-13T02:29:43.000Z | examples/select.py | giosali/cues | 09bce776f9275b71a4028e5c59103e45d81ebed6 | [
"MIT"
] | null | null | null | examples/select.py | giosali/cues | 09bce776f9275b71a4028e5c59103e45d81ebed6 | [
"MIT"
] | 1 | 2021-05-26T04:35:47.000Z | 2021-05-26T04:35:47.000Z | """
examples.select
===============
An example that demonstrates the Select child class.
"""
from cues.cues import Select
def main():
name = 'programming_language'
message = 'Which of these is your favorite programming language?'
options = ['Python', 'JavaScript', 'C++', 'C#']
cue = Select(name, me... | 18.173913 | 69 | 0.629187 | 48 | 418 | 5.291667 | 0.6875 | 0.149606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205742 | 418 | 22 | 70 | 19 | 0.76506 | 0.203349 | 0 | 0 | 0 | 0 | 0.313846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b57f76841f0c85c583ef9797290a21bbf823a12e | 2,212 | py | Python | model_metadata/utils.py | csdms/model_metadata | 62acab7ae2a152bec64bc1f52751f7a8aa1d4184 | [
"MIT"
] | 1 | 2021-05-25T14:38:10.000Z | 2021-05-25T14:38:10.000Z | model_metadata/utils.py | csdms/model_metadata | 62acab7ae2a152bec64bc1f52751f7a8aa1d4184 | [
"MIT"
] | 3 | 2018-04-05T21:50:24.000Z | 2021-04-02T03:54:04.000Z | model_metadata/utils.py | csdms/model_metadata | 62acab7ae2a152bec64bc1f52751f7a8aa1d4184 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import os
import sys
from .api import install as install_mmd
def model_data_dir(name, datarootdir=None):
"""Get a model's data dir.
Parameters
----------
name : str
The name of the model.
Returns
-------
str
The absolute path to the data directory ... | 26.97561 | 66 | 0.574593 | 252 | 2,212 | 4.924603 | 0.277778 | 0.070911 | 0.04029 | 0.053183 | 0.357776 | 0.357776 | 0.26108 | 0.196616 | 0.196616 | 0.196616 | 0 | 0.002015 | 0.326854 | 2,212 | 81 | 67 | 27.308642 | 0.83143 | 0.084087 | 0 | 0.32 | 0 | 0 | 0.037821 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.14 | 0 | 0.34 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b582e5842d21e445f1825c2debc8042c425aedda | 8,060 | py | Python | solution/serverlist.py | ksh0165/lhms | 8848a74ac5c0f309e3ab28583af4bd574575ab8a | [
"Apache-2.0"
] | null | null | null | solution/serverlist.py | ksh0165/lhms | 8848a74ac5c0f309e3ab28583af4bd574575ab8a | [
"Apache-2.0"
] | null | null | null | solution/serverlist.py | ksh0165/lhms | 8848a74ac5c0f309e3ab28583af4bd574575ab8a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import os
import subprocess
import re
import pymysql
from datetime import datetime
strPath = r"/etc/webmin/servers";# file dir
files = os.listdir(strPath)
lists = [];# file lists
host = [];
user = [];
pwd = [];
val = 0;# extractServer use
test = "";# grep host
test1 = "";# grep user
test2 = "";# gre... | 42.198953 | 150 | 0.458561 | 863 | 8,060 | 4.274623 | 0.202781 | 0.056926 | 0.056926 | 0.029818 | 0.278124 | 0.261317 | 0.261317 | 0.208187 | 0.149092 | 0.088371 | 0 | 0.017614 | 0.25335 | 8,060 | 190 | 151 | 42.421053 | 0.595381 | 0.220596 | 0 | 0.140741 | 0 | 0.007407 | 0.230173 | 0.093937 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02963 | false | 0.02963 | 0.037037 | 0 | 0.096296 | 0.259259 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b58403121af69cb7645522d11585b8ed10c27038 | 579 | py | Python | algorithms/tree_level_width.py | danielhgasparin/algorithms-python | 4b27c3cddd22762599fe55d3b760f388733c4fa7 | [
"MIT"
] | null | null | null | algorithms/tree_level_width.py | danielhgasparin/algorithms-python | 4b27c3cddd22762599fe55d3b760f388733c4fa7 | [
"MIT"
] | null | null | null | algorithms/tree_level_width.py | danielhgasparin/algorithms-python | 4b27c3cddd22762599fe55d3b760f388733c4fa7 | [
"MIT"
] | null | null | null | """Tree level width module."""
from collections import deque
def tree_level_width(tree):
"""Return a list containing the width of each level of the specified tree."""
result = []
count = 0
queue = deque([tree.root, "s"])
while len(queue) > 0:
node = queue.popleft()
if node == "s":
... | 26.318182 | 81 | 0.504318 | 66 | 579 | 4.393939 | 0.515152 | 0.062069 | 0.096552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014006 | 0.38342 | 579 | 22 | 82 | 26.318182 | 0.798319 | 0.165803 | 0 | 0.222222 | 0 | 0 | 0.006342 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b58c5490649547fd191436f9730cc2a2c51f3b00 | 3,619 | py | Python | src/utils.py | Flantropy/TelegramChatAnalyzer | 88e879fa771361d47292721ff8adfd82a74e9b93 | [
"MIT"
] | null | null | null | src/utils.py | Flantropy/TelegramChatAnalyzer | 88e879fa771361d47292721ff8adfd82a74e9b93 | [
"MIT"
] | null | null | null | src/utils.py | Flantropy/TelegramChatAnalyzer | 88e879fa771361d47292721ff8adfd82a74e9b93 | [
"MIT"
] | null | null | null | import json
import logging
from io import BytesIO
from typing import List
from typing import Optional
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from telegram import InputMediaPhoto
def __convert_plot_to_telegram_photo(plot) -> InputMediaPhoto:
with BytesIO() as buffer:
plo... | 30.411765 | 94 | 0.671733 | 464 | 3,619 | 4.950431 | 0.318966 | 0.095777 | 0.031345 | 0.054854 | 0.26121 | 0.182847 | 0.131911 | 0.05616 | 0.05616 | 0 | 0 | 0.005622 | 0.213595 | 3,619 | 118 | 95 | 30.669492 | 0.801476 | 0.049738 | 0 | 0.096774 | 0 | 0 | 0.091765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086022 | false | 0 | 0.096774 | 0 | 0.290323 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b58c5890c2ea7e046b469064a62ceb8bea1ea212 | 2,215 | py | Python | pyxrd/calculations/improve.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 27 | 2018-06-15T15:28:18.000Z | 2022-03-10T12:23:50.000Z | pyxrd/calculations/improve.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 22 | 2018-06-14T08:29:16.000Z | 2021-07-05T13:33:44.000Z | pyxrd/calculations/improve.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 8 | 2019-04-13T13:03:51.000Z | 2021-06-19T09:29:11.000Z | # coding=UTF-8
# ex:ts=4:sw=4:et=on
# Copyright (c) 2013, Mathijs Dumon
# All rights reserved.
# Complete license can be found in the LICENSE file.
from io import StringIO
from scipy.optimize import fmin_l_bfgs_b
from .exceptions import wrap_exceptions
def setup_project(projectf):
from pyxrd.file_parsers.json_... | 27.012195 | 86 | 0.648307 | 254 | 2,215 | 5.484252 | 0.42126 | 0.043073 | 0.017229 | 0.014358 | 0.315865 | 0.26705 | 0.26705 | 0.26705 | 0.18234 | 0.18234 | 0 | 0.005643 | 0.27991 | 2,215 | 81 | 87 | 27.345679 | 0.867712 | 0.163883 | 0 | 0.340426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.170213 | 0 | 0.319149 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b58ccbfff32cc054d600f5f7877ef4514f099933 | 931 | py | Python | enforceTH.py | Multivalence/enforceTypeHint | fb87fd48baa525044516ddbdf2160128e03fb7b7 | [
"MIT"
] | null | null | null | enforceTH.py | Multivalence/enforceTypeHint | fb87fd48baa525044516ddbdf2160128e03fb7b7 | [
"MIT"
] | null | null | null | enforceTH.py | Multivalence/enforceTypeHint | fb87fd48baa525044516ddbdf2160128e03fb7b7 | [
"MIT"
] | 1 | 2020-12-16T18:34:19.000Z | 2020-12-16T18:34:19.000Z | import functools
def enforceType(func):
@functools.wraps(func)
def wrapper(*args):
wrapper.has_been_called = True
x = func.__annotations__
t = [x[i] for i in x if i != 'return']
if len(args) != len(t):
raise TypeError("Missing required positional arguments and/or annotations.")
for i in range(... | 23.275 | 94 | 0.664876 | 124 | 931 | 4.927419 | 0.451613 | 0.032733 | 0.045827 | 0.065466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221267 | 931 | 39 | 95 | 23.871795 | 0.842759 | 0 | 0 | 0.076923 | 0 | 0 | 0.228786 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.038462 | 0 | 0.192308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b591052db3d50aa3c4ca4b5f6cbba2c5ca1708a6 | 3,239 | py | Python | examples/DataRecording/runDataRecording.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | 4 | 2019-03-14T05:30:59.000Z | 2021-11-21T20:05:22.000Z | examples/DataRecording/runDataRecording.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | null | null | null | examples/DataRecording/runDataRecording.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | 4 | 2019-02-14T14:30:46.000Z | 2021-01-05T09:46:19.000Z | # encoding: UTF-8
from __future__ import print_function
import sys
try:
reload(sys) # Python 2
sys.setdefaultencoding('utf8')
except NameError:
pass # Python 3
import multiprocessing
from time import sleep
from datetime import datetime, time
from cyvn.trader.vtEvent import EVENT_LOG, EVENT_REC... | 26.120968 | 77 | 0.562211 | 346 | 3,239 | 5.135838 | 0.378613 | 0.033765 | 0.039392 | 0.018571 | 0.075408 | 0.075408 | 0.075408 | 0.075408 | 0.075408 | 0.075408 | 0 | 0.013502 | 0.268293 | 3,239 | 123 | 78 | 26.333333 | 0.736287 | 0.12967 | 0 | 0.151899 | 0 | 0 | 0.041096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037975 | false | 0.012658 | 0.126582 | 0 | 0.164557 | 0.037975 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b593abbfc1101fb51b4b3e49fd3161d9712060e7 | 12,779 | py | Python | sitk_rtss_io.py | Auto-segmentation-in-Radiation-Oncology/Chapter-3 | 307330c848c7ddb650353484e18fa9bc7903f737 | [
"BSD-3-Clause"
] | 1 | 2020-06-28T01:57:46.000Z | 2020-06-28T01:57:46.000Z | sitk_rtss_io.py | Auto-segmentation-in-Radiation-Oncology/Chapter-12 | 307330c848c7ddb650353484e18fa9bc7903f737 | [
"BSD-3-Clause"
] | null | null | null | sitk_rtss_io.py | Auto-segmentation-in-Radiation-Oncology/Chapter-12 | 307330c848c7ddb650353484e18fa9bc7903f737 | [
"BSD-3-Clause"
] | 1 | 2021-11-15T21:47:17.000Z | 2021-11-15T21:47:17.000Z | from skimage import measure
import pydicom
from pydicom.dataset import Dataset, FileDataset
from pydicom.sequence import Sequence
import os
import numpy as np
import SimpleITK as sITK
import time
import glob
import sitk_ct_io as imio
from skimage.draw import polygon
# for debugging
# import matplotlib.p... | 44.526132 | 120 | 0.642069 | 1,456 | 12,779 | 5.414148 | 0.223214 | 0.025371 | 0.019028 | 0.013954 | 0.126728 | 0.071927 | 0.068121 | 0.066218 | 0.066218 | 0.049474 | 0 | 0.026108 | 0.26567 | 12,779 | 286 | 121 | 44.681818 | 0.813939 | 0.083418 | 0 | 0.063927 | 0 | 0.009132 | 0.062407 | 0.016062 | 0 | 0 | 0 | 0.003497 | 0.009132 | 1 | 0.018265 | false | 0 | 0.050228 | 0 | 0.09589 | 0.004566 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b59742af888cb2d88c4cbf6cba219ceb64599613 | 2,364 | py | Python | code/opt_algo/downhillsimplex_untested.py | nicolai-schwartze/Masterthesis | 7857af20c6b233901ab3cedc325bd64704111e16 | [
"MIT"
] | 1 | 2020-06-13T10:02:02.000Z | 2020-06-13T10:02:02.000Z | code/opt_algo/downhillsimplex_untested.py | nicolai-schwartze/Masterthesis | 7857af20c6b233901ab3cedc325bd64704111e16 | [
"MIT"
] | null | null | null | code/opt_algo/downhillsimplex_untested.py | nicolai-schwartze/Masterthesis | 7857af20c6b233901ab3cedc325bd64704111e16 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 20 14:03:18 2020
@author: Nicolai
"""
import sys
sys.path.append("../differential_evolution")
from JADE import JADE
import numpy as np
import scipy as sc
import testFunctions as tf
def downhillsimplex(population, function, minError, maxFeval):
'''
implementatio... | 26.863636 | 87 | 0.593909 | 270 | 2,364 | 5.144444 | 0.462963 | 0.054716 | 0.058315 | 0.077754 | 0.074874 | 0.038877 | 0 | 0 | 0 | 0 | 0 | 0.033878 | 0.300761 | 2,364 | 88 | 88 | 26.863636 | 0.806413 | 0.436971 | 0 | 0 | 0 | 0 | 0.028473 | 0.02157 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.193548 | 0 | 0.258065 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b59a516d2e4ba77e47687f54990e9a2e4f955197 | 1,185 | py | Python | LoopStructural/modelling/features/lambda_geological_feature.py | wgorczyk/LoopStructural | bedc7abd4c1868fdbd6ed659c8d72ef19f793875 | [
"MIT"
] | 67 | 2020-06-25T06:50:58.000Z | 2022-03-29T17:15:43.000Z | LoopStructural/modelling/features/lambda_geological_feature.py | wgorczyk/LoopStructural | bedc7abd4c1868fdbd6ed659c8d72ef19f793875 | [
"MIT"
] | 60 | 2020-06-28T22:58:21.000Z | 2022-03-24T01:30:59.000Z | LoopStructural/modelling/features/lambda_geological_feature.py | wgorczyk/LoopStructural | bedc7abd4c1868fdbd6ed659c8d72ef19f793875 | [
"MIT"
] | 9 | 2020-06-25T13:07:39.000Z | 2021-12-01T01:41:24.000Z | """
Geological features
"""
import logging
import numpy as np
logger = logging.getLogger(__name__)
class LambdaGeologicalFeature:
def __init__(self,function = None,name = 'unnamed_lambda', gradient_function = None, model = None):
self.function = function
self.name = name
self.gradient_fu... | 27.55814 | 103 | 0.563713 | 148 | 1,185 | 4.351351 | 0.283784 | 0.124224 | 0.093168 | 0.055901 | 0.350932 | 0.285714 | 0.285714 | 0.285714 | 0.21118 | 0.121118 | 0 | 0.021014 | 0.3173 | 1,185 | 43 | 104 | 27.55814 | 0.775031 | 0.057384 | 0 | 0.147059 | 0 | 0 | 0.012613 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.058824 | 0.058824 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b59a84378daec5c068b0ad9a5875001c348356a9 | 2,137 | py | Python | 2021/day8.py | Bug38/AoC | 576ee0d3745242b71240a62c121c52bc92f7253e | [
"MIT"
] | null | null | null | 2021/day8.py | Bug38/AoC | 576ee0d3745242b71240a62c121c52bc92f7253e | [
"MIT"
] | null | null | null | 2021/day8.py | Bug38/AoC | 576ee0d3745242b71240a62c121c52bc92f7253e | [
"MIT"
] | null | null | null | from typing import Set
import utils
data = utils.getLinesFromFile("day8.input")
# data = ['be cfbegad cbdgef fgaecd cgeb fdcge agebfd fecdb fabcd edb | fdgacbe cefdb cefbgd gcbe','edbfga begcd cbg gc gcadebf fbgde acbgfd abcde gfcbed gfec | fcgedb cgb dgebacf gc','fgaebd cg bdaec gdafb agbcfd gdcbef bgcad gfac gcb cdg... | 35.616667 | 860 | 0.657932 | 364 | 2,137 | 3.862637 | 0.535714 | 0.010669 | 0.012802 | 0.036273 | 0.102418 | 0.078236 | 0.041252 | 0.041252 | 0 | 0 | 0 | 0.025045 | 0.215255 | 2,137 | 59 | 861 | 36.220339 | 0.813357 | 0.44642 | 0 | 0.230769 | 0 | 0 | 0.036441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.038462 | 0 | 0.115385 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b59c0e7ce913172c25c6a249bc299d0133408394 | 4,951 | py | Python | utils/optimizers.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | 2 | 2019-11-29T15:46:14.000Z | 2021-05-28T06:54:41.000Z | utils/optimizers.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | null | null | null | utils/optimizers.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | null | null | null | """ Optimizers class """
import torch
import torch.optim as optim
from torch.nn.utils import clip_grad_norm_
import operator
import functools
from copy import copy
from math import sqrt
def build_torch_optimizer(model, opt):
params = [p for p in model.parameters() if p.requires_grad]
if opt.optim == 'sgd':
... | 31.941935 | 75 | 0.613411 | 615 | 4,951 | 4.64878 | 0.214634 | 0.096537 | 0.044771 | 0.033228 | 0.284715 | 0.221056 | 0.173487 | 0.173487 | 0.149003 | 0.149003 | 0 | 0.011638 | 0.288427 | 4,951 | 155 | 76 | 31.941935 | 0.799886 | 0.07655 | 0 | 0.205128 | 0 | 0 | 0.0338 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119658 | false | 0 | 0.059829 | 0.017094 | 0.299145 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b59da18e5dee5065a74262a17b2223e79fa39bac | 3,019 | py | Python | src/argcompile/meta.py | artu-hnrq/argcompile | 48b8997cc21b861fd090a809a9149d95476edbf8 | [
"MIT"
] | null | null | null | src/argcompile/meta.py | artu-hnrq/argcompile | 48b8997cc21b861fd090a809a9149d95476edbf8 | [
"MIT"
] | null | null | null | src/argcompile/meta.py | artu-hnrq/argcompile | 48b8997cc21b861fd090a809a9149d95476edbf8 | [
"MIT"
] | null | null | null | import inspect
class MetaComposition(type):
"""Overwrites a target method to behave calling same-type superclasses' implementation orderly"""
def __new__(meta, name, bases, attr, __func__='__call__'):
attr['__run__'] = attr[__func__]
attr[__func__] = meta.__run__
return super(MetaComposition, meta).__new__(... | 26.716814 | 100 | 0.663796 | 375 | 3,019 | 4.72 | 0.237333 | 0.050847 | 0.073446 | 0.072316 | 0.217514 | 0.159887 | 0.09435 | 0.079096 | 0.079096 | 0.040678 | 0 | 0.00082 | 0.191785 | 3,019 | 112 | 101 | 26.955357 | 0.72459 | 0.233852 | 0 | 0.083333 | 0 | 0 | 0.033654 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.013889 | 0.013889 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5a0cac842fff324e018f25672c1b93817ef376b | 761 | py | Python | linux/keyman-config/tests/test_gnome_keyboards_util.py | srl295/keyman | 4dfd0f71f3f4ccf81d1badbd824900deee1bb6d1 | [
"MIT"
] | null | null | null | linux/keyman-config/tests/test_gnome_keyboards_util.py | srl295/keyman | 4dfd0f71f3f4ccf81d1badbd824900deee1bb6d1 | [
"MIT"
] | null | null | null | linux/keyman-config/tests/test_gnome_keyboards_util.py | srl295/keyman | 4dfd0f71f3f4ccf81d1badbd824900deee1bb6d1 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import unittest
from unittest.mock import patch
from keyman_config.gnome_keyboards_util import is_gnome_shell, _reset_gnome_shell
class GnomeKeyboardsUtilTests(unittest.TestCase):
def setUp(self):
_reset_gnome_shell()
@patch('keyman_config.os.system')
def test_IsGnomeShell_Run... | 26.241379 | 81 | 0.710907 | 86 | 761 | 5.930233 | 0.476744 | 0.098039 | 0.070588 | 0.07451 | 0.486275 | 0.486275 | 0.329412 | 0.172549 | 0 | 0 | 0 | 0.004918 | 0.198423 | 761 | 28 | 82 | 27.178571 | 0.831148 | 0.07753 | 0 | 0.125 | 0 | 0 | 0.077475 | 0.065997 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.1875 | false | 0 | 0.1875 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5a22c7ed55e816b9317d7d3ca45276bbf0eae8f | 4,059 | py | Python | ghostwriter/users/forms.py | bbhunter/Ghostwriter | 1b684ddd119feed9891e83b39c9b314b41d086ca | [
"BSD-3-Clause"
] | 1 | 2022-02-04T20:24:35.000Z | 2022-02-04T20:24:35.000Z | ghostwriter/users/forms.py | bbhunter/Ghostwriter | 1b684ddd119feed9891e83b39c9b314b41d086ca | [
"BSD-3-Clause"
] | null | null | null | ghostwriter/users/forms.py | bbhunter/Ghostwriter | 1b684ddd119feed9891e83b39c9b314b41d086ca | [
"BSD-3-Clause"
] | null | null | null | """This contains all of the forms used by the Users application."""
# Django Imports
from django.contrib.admin.widgets import FilteredSelectMultiple
from django.contrib.auth import forms, get_user_model
from django.contrib.auth.forms import UserChangeForm
from django.contrib.auth.models import Group
from django.core.e... | 33 | 151 | 0.60951 | 459 | 4,059 | 5.270153 | 0.357298 | 0.028938 | 0.029764 | 0.028111 | 0.120711 | 0.060356 | 0.060356 | 0.060356 | 0.060356 | 0.060356 | 0 | 0.004773 | 0.277408 | 4,059 | 122 | 152 | 33.270492 | 0.81998 | 0.136487 | 0 | 0.160494 | 0 | 0 | 0.132743 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061728 | false | 0 | 0.111111 | 0 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5a405be96095986ee0bca6128c66be907263013 | 5,119 | py | Python | nxsdk_modules_contrib/pelenet/pelenet/utils/spikes.py | biagiom/models | 79489a3c429b3027dd420840bbccfee5e8c9a879 | [
"BSD-3-Clause"
] | 54 | 2020-03-04T17:37:17.000Z | 2022-02-22T13:16:10.000Z | nxsdk_modules_contrib/pelenet/pelenet/utils/spikes.py | biagiom/models | 79489a3c429b3027dd420840bbccfee5e8c9a879 | [
"BSD-3-Clause"
] | 9 | 2020-08-26T13:17:54.000Z | 2021-11-09T09:02:00.000Z | nxsdk_modules_contrib/pelenet/pelenet/utils/spikes.py | biagiom/models | 79489a3c429b3027dd420840bbccfee5e8c9a879 | [
"BSD-3-Clause"
] | 26 | 2020-03-18T17:09:34.000Z | 2021-11-22T16:23:14.000Z | import numpy as np
import scipy.linalg as la
from statsmodels.tsa.api import SimpleExpSmoothing, Holt
"""
@desc: From activity probe, calculate spike patterns
"""
def getSpikesFromActivity(self, activityProbes):
# Get number of probes (equals number of used cores)
numProbes = np.shape(activityProbes)[0]
# ... | 31.99375 | 116 | 0.66302 | 657 | 5,119 | 5.150685 | 0.252664 | 0.01448 | 0.008865 | 0.016253 | 0.345154 | 0.345154 | 0.31383 | 0.291371 | 0.291371 | 0.291371 | 0 | 0.012462 | 0.231881 | 5,119 | 159 | 117 | 32.194969 | 0.848169 | 0.268412 | 0 | 0.253521 | 0 | 0 | 0.02013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112676 | false | 0 | 0.042254 | 0 | 0.309859 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5a74044f5f2241591f7f602964eb017fc2ac290 | 6,429 | py | Python | src/bst.py | tranduythanh/algorithm-in-python | b883ea0bc4dcd46b9a9f72f0ca3786aa3545f58a | [
"MIT"
] | null | null | null | src/bst.py | tranduythanh/algorithm-in-python | b883ea0bc4dcd46b9a9f72f0ca3786aa3545f58a | [
"MIT"
] | null | null | null | src/bst.py | tranduythanh/algorithm-in-python | b883ea0bc4dcd46b9a9f72f0ca3786aa3545f58a | [
"MIT"
] | null | null | null | from visualize import pprint
class Node:
def __init__(self, key):
self.left = None
self.right = None
self.val = key
def __repr__(self):
ptr = id(self)
ret = f'{ptr}:'
if self.left:
ret = f'{ret} {self.left.val}'
else:
ret = f'{ret... | 27.474359 | 63 | 0.492767 | 770 | 6,429 | 3.923377 | 0.11039 | 0.057597 | 0.029791 | 0.033102 | 0.461106 | 0.359484 | 0.265475 | 0.209202 | 0.139027 | 0.106587 | 0 | 0.00187 | 0.417639 | 6,429 | 233 | 64 | 27.592275 | 0.805021 | 0.053196 | 0 | 0.473404 | 0 | 0 | 0.013999 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.159574 | false | 0 | 0.005319 | 0.047872 | 0.404255 | 0.010638 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5af94b7bf661eb528749316c8d0360da97313c8 | 1,023 | py | Python | pythonModules/plugin_showRainbowAllLEDs.py | mhoelzner/BinaryClock_RP | 3dcd6c9369b827c4228c90c8c4da6dd9c21ab632 | [
"MIT"
] | null | null | null | pythonModules/plugin_showRainbowAllLEDs.py | mhoelzner/BinaryClock_RP | 3dcd6c9369b827c4228c90c8c4da6dd9c21ab632 | [
"MIT"
] | null | null | null | pythonModules/plugin_showRainbowAllLEDs.py | mhoelzner/BinaryClock_RP | 3dcd6c9369b827c4228c90c8c4da6dd9c21ab632 | [
"MIT"
] | null | null | null | from neopixel import Color
import time
class ShowRainbowAllLEDs():
def __init__(self, strip, config):
self.strip = strip
self.configuration = config
def wheel(self, pos):
"""Generate rainbow colors across 0-255 positions."""
if pos < 85:
return Color(pos * 3, 255... | 26.230769 | 72 | 0.507331 | 119 | 1,023 | 4.327731 | 0.428571 | 0.046602 | 0.040777 | 0.062136 | 0.178641 | 0.135922 | 0.135922 | 0 | 0 | 0 | 0 | 0.06891 | 0.390029 | 1,023 | 38 | 73 | 26.921053 | 0.75641 | 0.095797 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.423077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b23767bc452d1d161330f945974af76c7faa29 | 3,337 | py | Python | tronx/modules/group.py | TronUb/Tron | 55b5067a34cf2849913647533d7d035cab64568e | [
"MIT"
] | 4 | 2022-03-07T07:27:04.000Z | 2022-03-29T05:59:57.000Z | tronx/modules/group.py | TronUb/Tron | 55b5067a34cf2849913647533d7d035cab64568e | [
"MIT"
] | null | null | null | tronx/modules/group.py | TronUb/Tron | 55b5067a34cf2849913647533d7d035cab64568e | [
"MIT"
] | 3 | 2022-03-05T15:24:51.000Z | 2022-03-14T08:48:05.000Z | import asyncio
from pyrogram.raw import functions
from pyrogram.types import Message
from tronx import app, gen
app.CMD_HELP.update(
{"group" : (
"group",
{
"bgroup [group name]" : "Creates a basic group.",
"sgroup [group name]" : "Creates a super group.",
"unread" : "Mark a chat as unread in your tele... | 26.275591 | 145 | 0.66407 | 503 | 3,337 | 4.326044 | 0.214712 | 0.084559 | 0.066176 | 0.088235 | 0.559283 | 0.518842 | 0.463235 | 0.463235 | 0.399816 | 0.399816 | 0 | 0.011527 | 0.168115 | 3,337 | 126 | 146 | 26.484127 | 0.772334 | 0.002397 | 0 | 0.49 | 0 | 0.02 | 0.269312 | 0.034265 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.07 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b4a7c2bcf95fde6a181a23d3adc5de69780240 | 5,152 | py | Python | benchmark/bit_task/input_pipeline.py | Fanxingye/AutoDL | 6f409aefc8b81e5fe47df57b82332c8df427875d | [
"Apache-2.0"
] | 1 | 2021-11-04T09:19:14.000Z | 2021-11-04T09:19:14.000Z | benchmark/bit_task/input_pipeline.py | Fanxingye/AutoDL | 6f409aefc8b81e5fe47df57b82332c8df427875d | [
"Apache-2.0"
] | null | null | null | benchmark/bit_task/input_pipeline.py | Fanxingye/AutoDL | 6f409aefc8b81e5fe47df57b82332c8df427875d | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 38.162963 | 103 | 0.606366 | 635 | 5,152 | 4.711811 | 0.297638 | 0.048128 | 0.048128 | 0.037433 | 0.225267 | 0.142045 | 0.090241 | 0.090241 | 0.090241 | 0.090241 | 0 | 0.011242 | 0.29212 | 5,152 | 134 | 104 | 38.447761 | 0.809158 | 0.209627 | 0 | 0.204819 | 0 | 0 | 0.03733 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060241 | false | 0 | 0.060241 | 0 | 0.180723 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b4c824ddba4f2d18052e43c4be91b69f16e79d | 5,997 | py | Python | accrpc/maps.py | manucabral/accrpc | 8b8f3d47751732706570fded73cdc64bf1edb41d | [
"MIT"
] | 3 | 2022-01-18T01:11:21.000Z | 2022-01-25T01:04:42.000Z | accrpc/maps.py | manucabral/accrpc | 8b8f3d47751732706570fded73cdc64bf1edb41d | [
"MIT"
] | null | null | null | accrpc/maps.py | manucabral/accrpc | 8b8f3d47751732706570fded73cdc64bf1edb41d | [
"MIT"
] | null | null | null | from ctypes import Structure, sizeof, c_int, c_int32, c_float, c_wchar
# Credits
# https://github.com/dabde/acc_shared_mem_access_python
# https://github.com/rrennoir/PyAccSharedMemory
class Statics(Structure):
_fields_ = [
("smVersion", c_wchar * 15),
("acVersion", c_wchar * 15),
("number... | 32.416216 | 70 | 0.516925 | 592 | 5,997 | 4.925676 | 0.334459 | 0.162551 | 0.062414 | 0.00823 | 0.018519 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017703 | 0.302985 | 5,997 | 184 | 71 | 32.592391 | 0.679904 | 0.017842 | 0 | 0.028571 | 0 | 0 | 0.303262 | 0.022766 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.005714 | 0 | 0.04 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b4c9c1dbb3216905a27aa4ce2edea78394a9e2 | 2,554 | py | Python | scripts/plot_fc_bc.py | dpmerrell/TrialMDP-analyses | 07e7d2b8aa918e6d314a315be487afc28659a00e | [
"MIT"
] | null | null | null | scripts/plot_fc_bc.py | dpmerrell/TrialMDP-analyses | 07e7d2b8aa918e6d314a315be487afc28659a00e | [
"MIT"
] | null | null | null | scripts/plot_fc_bc.py | dpmerrell/TrialMDP-analyses | 07e7d2b8aa918e6d314a315be487afc28659a00e | [
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
import script_util as su
import pandas as pd
import numpy as np
import argparse
def get_score(tsv_file, pA, pB, score_name):
df = pd.read_csv(tsv_file, sep="\t")
df.set_index(["pA", "pB"], inplace=True)
return float(df.loc[(pA, pB), score_name])
def get_N(tsv_file, pA,... | 27.462366 | 82 | 0.583399 | 388 | 2,554 | 3.613402 | 0.255155 | 0.022825 | 0.054922 | 0.03709 | 0.268188 | 0.098431 | 0.075606 | 0.075606 | 0.075606 | 0.075606 | 0 | 0.002644 | 0.259593 | 2,554 | 92 | 83 | 27.76087 | 0.738763 | 0.028191 | 0 | 0.070175 | 0 | 0 | 0.046774 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.087719 | 0 | 0.22807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b5bab4def1ed3509dd85a680dfad03dc1b2fa0 | 5,466 | py | Python | pyai/search/minimax.py | bpesquet/pyai | 09f6e9989c9c3d3619b45a0aab2bd363141dfe58 | [
"MIT"
] | null | null | null | pyai/search/minimax.py | bpesquet/pyai | 09f6e9989c9c3d3619b45a0aab2bd363141dfe58 | [
"MIT"
] | null | null | null | pyai/search/minimax.py | bpesquet/pyai | 09f6e9989c9c3d3619b45a0aab2bd363141dfe58 | [
"MIT"
] | null | null | null | """
Minimax algorithm with alpha-beta pruning applied to the Connect 4 game.
Inspired by https://youtu.be/l-hh51ncgDI
"""
import os
import copy
import math
def minimax(game, depth, maximize, alpha=None, beta=None):
"""Minimax algorithm, using (optionally) alpha-beta pruning."""
if depth == 0:
# Max... | 32.730539 | 89 | 0.612697 | 747 | 5,466 | 4.382865 | 0.231593 | 0.058644 | 0.023824 | 0.021381 | 0.229383 | 0.154246 | 0.148748 | 0.132254 | 0.132254 | 0.132254 | 0 | 0.012652 | 0.291438 | 5,466 | 166 | 90 | 32.927711 | 0.832171 | 0.374131 | 0 | 0.089744 | 0 | 0 | 0.005738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.038462 | 0 | 0.282051 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b832c7207c148b4f89c1e17e84f452793c1e36 | 3,397 | py | Python | src/preparation/2_prepare_0_tokens.py | wietsedv/gpt2-recycle | 7d1dbac01f111d87445de5b950c88971c0a1b733 | [
"Apache-2.0"
] | 42 | 2020-12-11T09:21:10.000Z | 2022-02-20T01:44:32.000Z | src/preparation/2_prepare_0_tokens.py | wietsedv/gpt2-recycle | 7d1dbac01f111d87445de5b950c88971c0a1b733 | [
"Apache-2.0"
] | 2 | 2020-12-15T14:40:33.000Z | 2021-08-02T07:04:42.000Z | src/preparation/2_prepare_0_tokens.py | wietsedv/gpt2-recycle | 7d1dbac01f111d87445de5b950c88971c0a1b733 | [
"Apache-2.0"
] | 5 | 2020-12-13T16:03:03.000Z | 2021-08-09T14:18:37.000Z | from argparse import ArgumentParser
from pathlib import Path
import pickle
import os
from tqdm import tqdm
from tokenizers import Tokenizer
from tokenizers.processors import RobertaProcessing
from transformers import AutoTokenizer
def init_tokenizer(lang, n, m):
if n is None and m is None:
print('size no... | 30.603604 | 79 | 0.578746 | 411 | 3,397 | 4.649635 | 0.306569 | 0.029304 | 0.041863 | 0.039246 | 0.186813 | 0.132391 | 0.03977 | 0 | 0 | 0 | 0 | 0.001664 | 0.292317 | 3,397 | 110 | 80 | 30.881818 | 0.792845 | 0 | 0 | 0.151163 | 0 | 0 | 0.158669 | 0.02826 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.093023 | 0 | 0.197674 | 0.081395 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5b8963f6516bffc7a6999cc9be33b3103b93631 | 1,175 | py | Python | src/notifi/consumers.py | earth-emoji/love | 3617bd47c396803c411e136b3e1de87c18e03890 | [
"BSD-2-Clause"
] | null | null | null | src/notifi/consumers.py | earth-emoji/love | 3617bd47c396803c411e136b3e1de87c18e03890 | [
"BSD-2-Clause"
] | 7 | 2021-03-19T10:46:09.000Z | 2022-03-12T00:28:55.000Z | src/notifi/consumers.py | earth-emoji/love | 3617bd47c396803c411e136b3e1de87c18e03890 | [
"BSD-2-Clause"
] | null | null | null | from channels.generic.websocket import WebsocketConsumer
import json
from asgiref.sync import async_to_sync
class NotificationConsumer(WebsocketConsumer):
# Function to connect to the websocket
def connect(self):
# Checking if the User is logged in
if self.scope["user"].is_anonymous:
... | 43.518519 | 199 | 0.685106 | 168 | 1,175 | 4.720238 | 0.470238 | 0.045397 | 0.065574 | 0.040353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.241702 | 1,175 | 27 | 200 | 43.518519 | 0.890011 | 0.440851 | 0 | 0.133333 | 0 | 0 | 0.018519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |