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3dd524d8e59e2c8188892e7a7fe2e15518d2a46b | 5,294 | py | Python | depthaware/data/sunrgbd_dataset.py | crmauceri/DepthAwareCNN-pytorch1.5 | 6d9b0cf001d7482df7d4cd7240fc36cbfc8356f9 | [
"MIT"
] | 3 | 2021-03-11T01:24:37.000Z | 2021-06-29T03:46:40.000Z | depthaware/data/sunrgbd_dataset.py | crmauceri/DepthAwareCNN-pytorch1.5 | 6d9b0cf001d7482df7d4cd7240fc36cbfc8356f9 | [
"MIT"
] | null | null | null | depthaware/data/sunrgbd_dataset.py | crmauceri/DepthAwareCNN-pytorch1.5 | 6d9b0cf001d7482df7d4cd7240fc36cbfc8356f9 | [
"MIT"
] | null | null | null | import os.path
from depthaware.data.base_dataset import *
from PIL import Image
import time
def make_dataset_fromlst(dataroot, listfilename):
"""
NYUlist format:
imagepath seglabelpath depthpath HHApath
"""
images = []
segs = []
depths = []
HHAs = []
with open(listfilename) as f:
... | 44.116667 | 113 | 0.647526 |
3dd551aff5d9acdfce555b2997eb9c881f846544 | 1,382 | py | Python | setup.py | elafefy11/flask_gtts | 8f14b9f114127d8fba240a88f3aa16eb17628872 | [
"MIT"
] | null | null | null | setup.py | elafefy11/flask_gtts | 8f14b9f114127d8fba240a88f3aa16eb17628872 | [
"MIT"
] | null | null | null | setup.py | elafefy11/flask_gtts | 8f14b9f114127d8fba240a88f3aa16eb17628872 | [
"MIT"
] | null | null | null | """
Flask-gTTS
-------------
A Flask extension to add gTTS Google text to speech, into the template,
it makes adding and configuring multiple text to speech audio files at
a time much easier and less time consuming
"""
from setuptools import setup
setup(
name='Flask-gTTS',
version='0.11',
url='https://g... | 29.404255 | 76 | 0.633864 |
3dd5a2aa827f14ee73dd8f5c2368476016523c81 | 232 | py | Python | READ.py | BeatrizFS/MongoDB-Python | a23741d5f58ccad50e6239c963f78759f92098ac | [
"MIT"
] | null | null | null | READ.py | BeatrizFS/MongoDB-Python | a23741d5f58ccad50e6239c963f78759f92098ac | [
"MIT"
] | null | null | null | READ.py | BeatrizFS/MongoDB-Python | a23741d5f58ccad50e6239c963f78759f92098ac | [
"MIT"
] | null | null | null | from Arquivo1 import Produto
#READ
#Consultar o Banco de dados
#1.Retorna todas as informaes do Banco de dados
produtos = Produto.objects()
print(produtos)
for produto in produtos:
print(produto.Nome, produto.Valor) | 23.2 | 50 | 0.75 |
3dd7149bf486a0156690dac8d36a869ec269ebf6 | 9,280 | py | Python | src/aux_funcs.py | ArunBaskaran/Image-Driven-Machine-Learning-Approach-for-Microstructure-Classification-and-Segmentation-Ti-6Al-4V | 79ca40ababbc65464650c5519f9e7fdbf3c9d14d | [
"MIT"
] | 7 | 2020-03-19T05:04:30.000Z | 2022-03-31T10:29:42.000Z | src/aux_funcs.py | ArunBaskaran/Image-Driven-Machine-Learning-Approach-for-Microstructure-Classification-and-Segmentation-Ti-6Al-4V | 79ca40ababbc65464650c5519f9e7fdbf3c9d14d | [
"MIT"
] | 2 | 2020-08-19T03:24:31.000Z | 2021-03-02T00:18:46.000Z | src/aux_funcs.py | ArunBaskaran/Image-Driven-Machine-Learning-Approach-for-Microstructure-Classification-and-Segmentation-Ti-6Al-4V | 79ca40ababbc65464650c5519f9e7fdbf3c9d14d | [
"MIT"
] | 3 | 2020-09-17T04:15:04.000Z | 2021-01-18T08:37:39.000Z | """
----------------------------------ABOUT-----------------------------------
Author: Arun Baskaran
--------------------------------------------------------------------------
"""
import model_params
df = pd.read_excel('labels.xlsx', header=None, names=['id', 'label'])
total_labels = df['label']
for ... | 44.830918 | 210 | 0.650108 |
3dd842d4edbdc348779300fb523036992a49b5b2 | 125 | py | Python | manage.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | manage.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | manage.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | from flask_script import Manager
from src import app
manager = Manager(app)
if __name__ == "__main__":
manager.run()
| 12.5 | 32 | 0.72 |
3dd84d6968111423f954120eed10897fd01c00ea | 1,355 | py | Python | CIFAR10.py | jimmyLeeMc/NeuralNetworkTesting | a6208cc8639a93ac24655495c9ace1acba21c76f | [
"MIT"
] | null | null | null | CIFAR10.py | jimmyLeeMc/NeuralNetworkTesting | a6208cc8639a93ac24655495c9ace1acba21c76f | [
"MIT"
] | null | null | null | CIFAR10.py | jimmyLeeMc/NeuralNetworkTesting | a6208cc8639a93ac24655495c9ace1acba21c76f | [
"MIT"
] | null | null | null |
#CIFAR
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt
data = keras.datasets.cifar10
activations=[keras.activations.sigmoid, keras.activations.relu,
keras.layers.LeakyReLU(), keras.activations.tanh]
results=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
class_names=[0,1,2,3,4,5,6,7,8,9]
... | 38.714286 | 108 | 0.591882 |
3dd93f9bb15a42397c641e431fd3df72da46ab0d | 3,127 | py | Python | All_RasPy_Files/edgedetection.py | govindak-umd/Autonomous_Robotics | 5293b871c7032b40cbff7814bd773871ee2c5946 | [
"MIT"
] | 2 | 2020-05-14T11:23:30.000Z | 2020-05-25T06:30:57.000Z | All_RasPy_Files/edgedetection.py | govindak-umd/ENPM809T | 5293b871c7032b40cbff7814bd773871ee2c5946 | [
"MIT"
] | null | null | null | All_RasPy_Files/edgedetection.py | govindak-umd/ENPM809T | 5293b871c7032b40cbff7814bd773871ee2c5946 | [
"MIT"
] | 5 | 2020-06-09T22:09:15.000Z | 2022-01-31T17:11:19.000Z | # ENME 489Y: Remote Sensing
# Edge detection
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# Define slice of an arbitrary original image
f = np.empty((0))
index = np.empty((0))
# Create intensity data, including noise
for i in range(2000):
index = np.append(index, i)
if i <= 950:
... | 23.689394 | 76 | 0.68692 |
3dda1806de2d35a90208c505c2c72da1466cf4a9 | 1,850 | py | Python | alipay/aop/api/domain/AlipayCommerceReceiptBatchqueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayCommerceReceiptBatchqueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayCommerceReceiptBatchqueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
| 28.90625 | 81 | 0.585405 |
3ddaf9735b2cb2b79bcc96e4e4c161028c28ae19 | 2,632 | py | Python | tests/test_timeconversion.py | FObersteiner/pyFuppes | 2a8c6e210855598dbf4fb491533bf22706340c9a | [
"MIT"
] | 1 | 2020-06-02T08:02:36.000Z | 2020-06-02T08:02:36.000Z | tests/test_timeconversion.py | FObersteiner/pyFuppes | 2a8c6e210855598dbf4fb491533bf22706340c9a | [
"MIT"
] | 3 | 2022-03-04T11:43:19.000Z | 2022-03-25T00:26:46.000Z | tests/test_timeconversion.py | FObersteiner/pyFuppes | 2a8c6e210855598dbf4fb491533bf22706340c9a | [
"MIT"
] | null | null | null | import unittest
from datetime import datetime, timezone
from pyfuppes import timeconversion
if __name__ == "__main__":
unittest.main()
| 32.9 | 81 | 0.587006 |
3ddb42001698eb4e38741ad5c0c31bf71b836bbd | 1,111 | py | Python | ucscentralsdk/methodmeta/LstorageCloneMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/methodmeta/LstorageCloneMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/methodmeta/LstorageCloneMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | """This module contains the meta information of LstorageClone ExternalMethod."""
from ..ucscentralcoremeta import MethodMeta, MethodPropertyMeta
method_meta = MethodMeta("LstorageClone", "lstorageClone", "Version142b")
prop_meta = {
"cookie": MethodPropertyMeta("Cookie", "cookie", "Xs:string", "Version142b", "In... | 44.44 | 122 | 0.706571 |
3ddd545e8ac1636ac0a7d92a17cca391f2e23803 | 7,468 | py | Python | tool/powermon.py | virajpadte/Power_monitoring_JetsonTX1 | 3f337adb16ce09072d69147b705a0c705b3ad53c | [
"MIT"
] | null | null | null | tool/powermon.py | virajpadte/Power_monitoring_JetsonTX1 | 3f337adb16ce09072d69147b705a0c705b3ad53c | [
"MIT"
] | null | null | null | tool/powermon.py | virajpadte/Power_monitoring_JetsonTX1 | 3f337adb16ce09072d69147b705a0c705b3ad53c | [
"MIT"
] | null | null | null | import sys
import glob
import serial
import ttk
import tkFileDialog
from Tkinter import *
#for plotting we need these:
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
from drawnow import *
if __name__ == '__main__':
root = Tk()
root.title("Power Monitoring tool")
main = MainView... | 35.561905 | 138 | 0.595742 |
3ddeb574a2024dfb0d06c0c742bbc0a272df7e2d | 900 | py | Python | shop/tests/products/views/test_product_details_view.py | nikolaynikolov971/NftShop | 09a535a6f708f0f6da5addeb8781f9bdcea72cf3 | [
"MIT"
] | null | null | null | shop/tests/products/views/test_product_details_view.py | nikolaynikolov971/NftShop | 09a535a6f708f0f6da5addeb8781f9bdcea72cf3 | [
"MIT"
] | null | null | null | shop/tests/products/views/test_product_details_view.py | nikolaynikolov971/NftShop | 09a535a6f708f0f6da5addeb8781f9bdcea72cf3 | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.urls import reverse
from shop.products.models import Product
from tests.base.mixins import ProductTestUtils
| 30 | 94 | 0.66 |
3de34122732924fae3421861027e4399e17b6da8 | 4,558 | py | Python | projetoFTP/servidor/sftps.py | MarciovsRocha/conectividade-sistemas-cyberfisicos | d76b8a540b55eb8a54ae99067b625010e85a2eb8 | [
"MIT"
] | null | null | null | projetoFTP/servidor/sftps.py | MarciovsRocha/conectividade-sistemas-cyberfisicos | d76b8a540b55eb8a54ae99067b625010e85a2eb8 | [
"MIT"
] | null | null | null | projetoFTP/servidor/sftps.py | MarciovsRocha/conectividade-sistemas-cyberfisicos | d76b8a540b55eb8a54ae99067b625010e85a2eb8 | [
"MIT"
] | null | null | null | import socket
import threading
import os
import sys
from pathlib import Path
#---------------------------------------------------
#------------------------------------------------
#-----------------------------------------------
#------------------------------------------------
#---------------------... | 28.4875 | 72 | 0.426942 |
3de3ed318e614e22c2b9f52348133eddba3a0fee | 2,424 | py | Python | messages.py | runjak/hoodedFigure | 539c9839dd47bc181e592bf4a61eaab361b8d316 | [
"MIT"
] | null | null | null | messages.py | runjak/hoodedFigure | 539c9839dd47bc181e592bf4a61eaab361b8d316 | [
"MIT"
] | null | null | null | messages.py | runjak/hoodedFigure | 539c9839dd47bc181e592bf4a61eaab361b8d316 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import random
sentences = [
"Going into the #dogpark is not allowed, @%s.",
"That's my favourite #dogpark @%s - no one is allowed to go into it!",
"That #dogpark you mention is forbidden! Please don't, @%s",
"The #dogpark should be secured with electrified barbwire. "
"Don... | 44.072727 | 79 | 0.636139 |
3de5ea40f8bf420e08e8aea386566d9bf26093f0 | 3,595 | py | Python | detectron/tests/test_track_losses.py | orestis-z/track-rcnn | 6b2405cb8308168106526b57027a1af3fe9df0f3 | [
"Apache-2.0"
] | 9 | 2020-10-16T22:20:09.000Z | 2022-03-22T11:08:01.000Z | detectron/tests/test_track_losses.py | orestis-z/track-rcnn | 6b2405cb8308168106526b57027a1af3fe9df0f3 | [
"Apache-2.0"
] | null | null | null | detectron/tests/test_track_losses.py | orestis-z/track-rcnn | 6b2405cb8308168106526b57027a1af3fe9df0f3 | [
"Apache-2.0"
] | 2 | 2021-10-04T14:27:52.000Z | 2022-03-22T11:07:53.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy import spatial
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from... | 43.313253 | 115 | 0.69096 |
3de7f52d572f048f38c1b4744268152292a54283 | 4,497 | py | Python | torch/nn/_functions/thnn/upsampling.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/nn/_functions/thnn/upsampling.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/nn/_functions/thnn/upsampling.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | from numbers import Integral
import torch
from torch.autograd import Function
from torch._thnn import type2backend
from . import _all_functions
from ...modules.utils import _pair
from ...functional import _check_bilinear_2d_scale_factor
_all_functions.append(UpsamplingNearest2d)
_all_functions.append(UpsamplingBil... | 34.328244 | 98 | 0.610407 |
3de882780eafbe1233cbdcdf8b3eb920ea7971b8 | 7,869 | py | Python | Day17/17_trick_shot.py | schca675/my-code-for-advent-of-code-2021 | e8bdb986930b444884d37e679a37ed25efe2b34e | [
"Apache-2.0"
] | null | null | null | Day17/17_trick_shot.py | schca675/my-code-for-advent-of-code-2021 | e8bdb986930b444884d37e679a37ed25efe2b34e | [
"Apache-2.0"
] | null | null | null | Day17/17_trick_shot.py | schca675/my-code-for-advent-of-code-2021 | e8bdb986930b444884d37e679a37ed25efe2b34e | [
"Apache-2.0"
] | null | null | null | # --- Day 17: Trick Shot ---
import math
import time
print("TEST")
start = time.time()
resolve_puzzle_part1("test_data.txt")
print("Time: {}".format(time.time()-start))
print("PUZZLE")
start = time.time()
resolve_puzzle_part1("data.txt")
print("Time: {}".format(time.time()-start))
| 35.931507 | 115 | 0.490532 |
3de9f24b49937335e24db781a7e382e77643515c | 568 | py | Python | zip_files.py | VladimirsHisamutdinovs/Advanced_Python_Operations | 509c219f70adcbe9b3dedd71bff819494bab9c83 | [
"Apache-2.0"
] | null | null | null | zip_files.py | VladimirsHisamutdinovs/Advanced_Python_Operations | 509c219f70adcbe9b3dedd71bff819494bab9c83 | [
"Apache-2.0"
] | null | null | null | zip_files.py | VladimirsHisamutdinovs/Advanced_Python_Operations | 509c219f70adcbe9b3dedd71bff819494bab9c83 | [
"Apache-2.0"
] | null | null | null | import zipfile
zip_file = zipfile.ZipFile("zip_archive.zip", "w")
zip_file.write("textfile_for_zip_01")
zip_file.write("textfile_for_zip_02")
zip_file.write("textfile_for_zip_03")
# print(zipfile.is_zipfile("zip_archive.zip"))
# zip_file = zipfile.ZipFile("zip_archive.zip")
# print(zip_file.namelist())
... | 24.695652 | 53 | 0.748239 |
3deab92507c5a88674b2ab8baa0fe1cd63998a28 | 21,024 | py | Python | omdrivers/lifecycle/iDRAC/iDRACUpdate.py | rajroyce1212/Ansible-iDRAC | 4ce00b605ee2e128ad98b572759e860bae3da3dc | [
"Apache-2.0"
] | 61 | 2018-02-21T00:02:20.000Z | 2022-01-26T03:47:19.000Z | omdrivers/lifecycle/iDRAC/iDRACUpdate.py | rajroyce1212/Ansible-iDRAC | 4ce00b605ee2e128ad98b572759e860bae3da3dc | [
"Apache-2.0"
] | 31 | 2018-03-24T05:43:39.000Z | 2022-03-16T07:10:37.000Z | omdrivers/lifecycle/iDRAC/iDRACUpdate.py | rajroyce1212/Ansible-iDRAC | 4ce00b605ee2e128ad98b572759e860bae3da3dc | [
"Apache-2.0"
] | 25 | 2018-03-13T10:06:12.000Z | 2022-01-26T03:47:21.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
#
# Copyright 2018 Dell Inc. or its subsidiaries. All rights reserved.
# Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries.
# Other trademarks may be trademarks of their respective owners.
#
# Licensed under the Apache License, Vers... | 50.176611 | 137 | 0.581573 |
3dec8f27fe9f9465de4b1a61485314e099192b22 | 3,196 | py | Python | playthrough/management/commands/migrate_shogun.py | SciADV-Community/genki | b86811695c428ca93bdab3ea2f68e3a99713d4db | [
"MIT"
] | null | null | null | playthrough/management/commands/migrate_shogun.py | SciADV-Community/genki | b86811695c428ca93bdab3ea2f68e3a99713d4db | [
"MIT"
] | 11 | 2020-10-15T01:19:24.000Z | 2022-03-28T04:09:43.000Z | playthrough/management/commands/migrate_shogun.py | SciADV-Community/genki | b86811695c428ca93bdab3ea2f68e3a99713d4db | [
"MIT"
] | 1 | 2021-01-11T19:56:02.000Z | 2021-01-11T19:56:02.000Z | import argparse
import os
import sqlite3
from django.core.management.base import BaseCommand
from playthrough.models import Alias, Channel, Game, GameConfig, Guild, RoleTemplate, User
| 44.388889 | 104 | 0.59199 |
3ded44aff9cb2e2f9d8057ef0b9ba6ae462ea0c0 | 5,233 | py | Python | backend/model/benchmark-metrics/service/ocr.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 3 | 2022-01-12T06:51:51.000Z | 2022-02-23T18:54:33.000Z | backend/model/benchmark-metrics/service/ocr.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 6 | 2021-08-31T19:21:26.000Z | 2022-01-03T05:53:42.000Z | backend/model/benchmark-metrics/service/ocr.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 8 | 2021-08-12T08:07:49.000Z | 2022-01-25T04:40:51.000Z | import logging
from datetime import datetime
import numpy as np
from logging.config import dictConfig
from kafkawrapper.producer import Producer
from utils.mongo_utils import BenchMarkingProcessRepo
from configs.configs import ulca_notifier_input_topic, ulca_notifier_benchmark_completed_event, ulca_notifier_benchmark_f... | 55.084211 | 200 | 0.608064 |
3deea7c2a0399d6a1677f78e7cc36afe63de0fc2 | 1,780 | py | Python | keystroke/migrations/0001_initial.py | jstavanja/quiz-biometrics-api | 75e0db348668b14a85f94261aac092ae2d5fa9c6 | [
"MIT"
] | null | null | null | keystroke/migrations/0001_initial.py | jstavanja/quiz-biometrics-api | 75e0db348668b14a85f94261aac092ae2d5fa9c6 | [
"MIT"
] | null | null | null | keystroke/migrations/0001_initial.py | jstavanja/quiz-biometrics-api | 75e0db348668b14a85f94261aac092ae2d5fa9c6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2018-08-20 16:31
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 34.901961 | 115 | 0.591573 |
3deeb28e7a4a40609c5fe55751360abc1b88afba | 1,603 | py | Python | komposisjon/komposisjon/rektangler_kvadrater.py | knutsenfiksdal/Oving_8 | 4e5d3a358cfb9127509a86a61c9499f22da9eabc | [
"MIT"
] | null | null | null | komposisjon/komposisjon/rektangler_kvadrater.py | knutsenfiksdal/Oving_8 | 4e5d3a358cfb9127509a86a61c9499f22da9eabc | [
"MIT"
] | null | null | null | komposisjon/komposisjon/rektangler_kvadrater.py | knutsenfiksdal/Oving_8 | 4e5d3a358cfb9127509a86a61c9499f22da9eabc | [
"MIT"
] | null | null | null |
# Kvadrat som bruker komposisjon og delegering
if __name__ == "__main__":
rektanglet = Rektangel(5, 5, 10, 5)
print(rektanglet)
print(rektanglet.areal())
rektanglet.strekk(0.5)
print(rektanglet)
print(rektanglet.areal())
kvadrat = Kvadrat(2, 2, 6)
print(kvadrat)
print(kvadrat.are... | 26.278689 | 75 | 0.646288 |
3defd9479c2f0a53049990dbf13feea2c96391cf | 16,024 | py | Python | DiscordBot/Commands/DiscordPoints.py | aronjanosch/kirbec-bot | 6d44e177c5cf6669564047fbbc8f6e8c342bca28 | [
"MIT"
] | null | null | null | DiscordBot/Commands/DiscordPoints.py | aronjanosch/kirbec-bot | 6d44e177c5cf6669564047fbbc8f6e8c342bca28 | [
"MIT"
] | null | null | null | DiscordBot/Commands/DiscordPoints.py | aronjanosch/kirbec-bot | 6d44e177c5cf6669564047fbbc8f6e8c342bca28 | [
"MIT"
] | null | null | null | from datetime import datetime
import discord
import itertools
from .utils import formatString, getUsageEmbed, getOopsEmbed
# IDEAS
# 1. Paying out points (without bets)
| 33.949153 | 119 | 0.602034 |
3df076848f2032b90ec31c8b5ee8c64134fd5e5c | 1,579 | py | Python | lunch/admin.py | KrzysztofSakowski/lunch-crawler | 6a93d6cfad634fb98f89bc22d68547801865c9ae | [
"Apache-2.0"
] | 1 | 2020-02-17T13:40:08.000Z | 2020-02-17T13:40:08.000Z | lunch/admin.py | KrzysztofSakowski/lunch-crawler | 6a93d6cfad634fb98f89bc22d68547801865c9ae | [
"Apache-2.0"
] | 4 | 2020-02-11T23:06:14.000Z | 2021-06-10T18:07:30.000Z | lunch/admin.py | KrzysztofSakowski/lunch-crawler | 6a93d6cfad634fb98f89bc22d68547801865c9ae | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import MenuFacebook, MenuEmail, UserProfile, Occupation, FacebookRestaurant, EmailRestaurant
admin.site.register(FacebookRestaurant, RestaurantAdmin)
admin.site.register(EmailRestaurant, RestaurantAdmin)
admin.site.register(MenuFacebook, MenuBaseAdmin)
admin.site.re... | 29.240741 | 105 | 0.723243 |
3df0af937b9149db956b0d8ec02537a403587abe | 19,082 | py | Python | src/oci/log_analytics/models/query_details.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 249 | 2017-09-11T22:06:05.000Z | 2022-03-04T17:09:29.000Z | src/oci/log_analytics/models/query_details.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 228 | 2017-09-11T23:07:26.000Z | 2022-03-23T10:58:50.000Z | src/oci/log_analytics/models/query_details.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 224 | 2017-09-27T07:32:43.000Z | 2022-03-25T16:55:42.000Z | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 35.600746 | 245 | 0.672466 |
3df0f23a4341291aa332900c1b4adf982ac1f716 | 2,740 | py | Python | moist.py | phiriv/moisture_sensor | 1e6a5d967ab639c67bae03847bd58ede31bde564 | [
"MIT"
] | null | null | null | moist.py | phiriv/moisture_sensor | 1e6a5d967ab639c67bae03847bd58ede31bde564 | [
"MIT"
] | null | null | null | moist.py | phiriv/moisture_sensor | 1e6a5d967ab639c67bae03847bd58ede31bde564 | [
"MIT"
] | null | null | null | Script to read temperature data from the DHT11:
# Importeer Adafruit DHT bibliotheek.
import Adafruit_DHT
import time
als = True
while als:
humidity, temperature = Adafruit_DHT.read_retry(Adafruit_DHT.DHT11, 4) #on gpio pin 4 or pin 7
if humidity is not None and temperature is not None:
humidity ... | 30.10989 | 104 | 0.622628 |
3df10878e5646297672b7b72bacac47ff05e414e | 4,168 | py | Python | route_distances/utils/routes.py | general-synthesis/route-distances | 2bc09a607bd7fa488357dcee96325669d8295f90 | [
"MIT"
] | null | null | null | route_distances/utils/routes.py | general-synthesis/route-distances | 2bc09a607bd7fa488357dcee96325669d8295f90 | [
"MIT"
] | null | null | null | route_distances/utils/routes.py | general-synthesis/route-distances | 2bc09a607bd7fa488357dcee96325669d8295f90 | [
"MIT"
] | null | null | null | """ Module containing helper routines for routes """
from typing import Dict, Any, Set, List, Tuple
import numpy as np
from route_distances.utils.type_utils import StrDict
def calc_depth(tree_dict: StrDict, depth: int = 0) -> int:
"""
Calculate the depth of a route, recursively
:param tree_dict: the ro... | 28.744828 | 84 | 0.651631 |
3df45b763adea0ed603bc91664b6febfe07b4afe | 1,920 | py | Python | src/yafowil/tests/__init__.py | 2silver/yafowil | b9776503f98f145f7aaaa4f61b73e238c92c534c | [
"BSD-3-Clause"
] | 8 | 2015-12-15T21:14:00.000Z | 2019-11-11T22:13:18.000Z | src/yafowil/tests/__init__.py | 2silver/yafowil | b9776503f98f145f7aaaa4f61b73e238c92c534c | [
"BSD-3-Clause"
] | 21 | 2015-11-21T10:12:12.000Z | 2021-06-03T06:51:53.000Z | src/yafowil/tests/__init__.py | 2silver/yafowil | b9776503f98f145f7aaaa4f61b73e238c92c534c | [
"BSD-3-Clause"
] | 5 | 2016-11-23T13:41:52.000Z | 2020-06-08T18:21:00.000Z | from __future__ import print_function
from node.tests import NodeTestCase
from yafowil.base import factory
from yafowil.compat import IS_PY2
import lxml.etree as etree
import sys
import unittest
import yafowil.common
import yafowil.compound
import yafowil.persistence
import yafowil.table
if not IS_PY2:
from impor... | 25.945946 | 64 | 0.752083 |
3df5aa98eb0d85a8d21eb7afce122f2c8fabce6b | 1,350 | py | Python | tools/foolbox/bim_attack.py | GianmarcoMidena/adversarial-ML-benchmarker | 43cfcfdac36da88d37b12d956ea8735fd27ca4a9 | [
"MIT"
] | null | null | null | tools/foolbox/bim_attack.py | GianmarcoMidena/adversarial-ML-benchmarker | 43cfcfdac36da88d37b12d956ea8735fd27ca4a9 | [
"MIT"
] | null | null | null | tools/foolbox/bim_attack.py | GianmarcoMidena/adversarial-ML-benchmarker | 43cfcfdac36da88d37b12d956ea8735fd27ca4a9 | [
"MIT"
] | null | null | null | from foolbox.attacks import LinfinityBasicIterativeAttack
from foolbox.criteria import Misclassification
from foolbox.distances import MSE
from tools.foolbox.adversarial_attack import AdversarialAttack
| 51.923077 | 112 | 0.707407 |
3df5e6a39fd0846088495ee87733d03e26f82c02 | 292 | py | Python | Tabuada.py | tobiaspontes/ScriptsPython | 21ed779e49adca500ce5815dd100f4ec999a2571 | [
"MIT"
] | null | null | null | Tabuada.py | tobiaspontes/ScriptsPython | 21ed779e49adca500ce5815dd100f4ec999a2571 | [
"MIT"
] | null | null | null | Tabuada.py | tobiaspontes/ScriptsPython | 21ed779e49adca500ce5815dd100f4ec999a2571 | [
"MIT"
] | null | null | null | # Tabuada em Python
if __name__ == '__main__':
print(9
)
nro = int(input('Entre com um nmero: '))
print(f'\n\033[1;32mTabuada do {nro}'+'\n')
tabuada(nro)
| 20.857143 | 61 | 0.513699 |
3df87a91ac53ca2678893bfc4dee7db4ace5bf95 | 3,235 | py | Python | radix_tree.py | mouradmourafiq/data-analysis | 1df2ca020a554f1fdab7cc9e53115e249cc199ac | [
"BSD-2-Clause"
] | 17 | 2015-04-01T12:11:31.000Z | 2022-03-15T16:44:01.000Z | radix_tree.py | mouradmourafiq/data-analysis | 1df2ca020a554f1fdab7cc9e53115e249cc199ac | [
"BSD-2-Clause"
] | null | null | null | radix_tree.py | mouradmourafiq/data-analysis | 1df2ca020a554f1fdab7cc9e53115e249cc199ac | [
"BSD-2-Clause"
] | 17 | 2015-01-14T14:59:40.000Z | 2021-07-01T05:46:14.000Z | # -*- coding: utf-8 -*-
'''
Created on Dec 01, 2012
@author: Mourad Mourafiq
About: This is an attempt to implement the radix tree algo.
Features :
-> insert
-> remove
-> search
'''
NOK = "{'':[]}"
| 27.415254 | 77 | 0.483462 |
3df8c0e29455e554abfe1f3cc62c34726c6ded0b | 1,264 | py | Python | Python/PythonOOP/animals.py | JosephAMumford/CodingDojo | 505be74d18d7a8f41c4b3576ca050b97f840f0a3 | [
"MIT"
] | 2 | 2018-08-18T15:14:45.000Z | 2019-10-16T16:14:13.000Z | Python/PythonOOP/animals.py | JosephAMumford/CodingDojo | 505be74d18d7a8f41c4b3576ca050b97f840f0a3 | [
"MIT"
] | null | null | null | Python/PythonOOP/animals.py | JosephAMumford/CodingDojo | 505be74d18d7a8f41c4b3576ca050b97f840f0a3 | [
"MIT"
] | 6 | 2018-05-05T18:13:05.000Z | 2021-05-20T11:32:48.000Z |
# Create instance of Animal
animal1 = Animal("Edgar",30)
animal1.walk().walk().walk().run().run().display_health()
# Create instance of Dog
dog1 = Dog("Raspberry",150)
dog1.walk().walk().walk().run().run().pet().display_health()
# Create instance of Dragon
dragon1 = Dragon("Phantoon", 500)
dragon1.walk().run().fly()... | 22.175439 | 60 | 0.630538 |
3dfa41325fc23f6087b7a1ae8181579baa35af0a | 17,915 | py | Python | ai4water/preprocessing/transformations/_wrapper.py | moonson619/AI4Water-1 | 285d46824502b6a787e42570b72432f4f6acf45e | [
"MIT"
] | 17 | 2021-05-21T13:01:52.000Z | 2022-03-19T15:17:10.000Z | ai4water/preprocessing/transformations/_wrapper.py | moonson619/AI4Water-1 | 285d46824502b6a787e42570b72432f4f6acf45e | [
"MIT"
] | 3 | 2021-10-31T22:40:28.000Z | 2021-11-08T02:28:35.000Z | ai4water/preprocessing/transformations/_wrapper.py | moonson619/AI4Water-1 | 285d46824502b6a787e42570b72432f4f6acf45e | [
"MIT"
] | 7 | 2021-08-06T07:27:50.000Z | 2022-01-26T00:38:32.000Z |
from typing import Union, List, Dict
import numpy as np
import pandas as pd
from ai4water.utils.utils import jsonize, deepcopy_dict_without_clone
from ai4water.preprocessing.transformations import Transformation
| 42.252358 | 121 | 0.547251 |
3dfbbd5b64a3c6157f0b5de85518ecc1e0323285 | 3,684 | py | Python | main/tagcn_training.py | Stanislas0/KDD_CUP_2020_MLTrack2_SPEIT | 7362104002225055715f05ccfc5ee8f6ef433d50 | [
"Apache-2.0"
] | 18 | 2020-09-10T06:48:22.000Z | 2022-01-25T18:22:52.000Z | main/tagcn_training.py | Stanislas0/KDD_CUP_2020_MLTrack2_SPEIT | 7362104002225055715f05ccfc5ee8f6ef433d50 | [
"Apache-2.0"
] | null | null | null | main/tagcn_training.py | Stanislas0/KDD_CUP_2020_MLTrack2_SPEIT | 7362104002225055715f05ccfc5ee8f6ef433d50 | [
"Apache-2.0"
] | null | null | null | import os
import dgl
import time
import argparse
import numpy as np
import torch as th
import distutils.util
import torch.nn.functional as F
import utils
import models
import data_loader
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
dev = th.device('cuda' if th.cuda.is_available() else 'cpu')
if __name__ == '__main__':
... | 41.393258 | 114 | 0.683496 |
3dfd83b71400b6e832cb757945e612ae86e6bd4c | 27,127 | py | Python | AltFS.py | g-mc/AltFS | 4d83a928cb1f1ec127e9565b578779ec4e659dae | [
"BSD-3-Clause"
] | 54 | 2019-02-27T15:57:27.000Z | 2021-10-10T21:51:50.000Z | AltFS.py | g-mc/AltFS | 4d83a928cb1f1ec127e9565b578779ec4e659dae | [
"BSD-3-Clause"
] | null | null | null | AltFS.py | g-mc/AltFS | 4d83a928cb1f1ec127e9565b578779ec4e659dae | [
"BSD-3-Clause"
] | 11 | 2019-03-01T19:07:25.000Z | 2020-12-03T14:56:44.000Z | #!/usr/bin/env python
"""
BSD 3-Clause License
Copyright (c) 2017, SafeBreach Labs
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notic... | 41.798151 | 79 | 0.629742 |
3dfe1030cd691567d0eb0ceab815ccdf039f3393 | 269 | py | Python | python-crypt-service/services/dbservice.py | Shirish-Singh/crypt-analysis | eed6d00925389ee0973733e6b7397cd460f97f99 | [
"Apache-2.0"
] | null | null | null | python-crypt-service/services/dbservice.py | Shirish-Singh/crypt-analysis | eed6d00925389ee0973733e6b7397cd460f97f99 | [
"Apache-2.0"
] | null | null | null | python-crypt-service/services/dbservice.py | Shirish-Singh/crypt-analysis | eed6d00925389ee0973733e6b7397cd460f97f99 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from configurations import configuration
from pymongo import MongoClient
MONGO_HOST= configuration.MONGO_HOST
client = MongoClient(MONGO_HOST)
| 20.692308 | 40 | 0.814126 |
3dffaaba0f49d4e4bcf7fb58f40e51bc3b413470 | 448 | py | Python | simple_amqp_rpc/data.py | rudineirk/py-simple-amqp-rpc | 823b6efe271732495d4e3ccdcb9f4d85138c1d42 | [
"MIT"
] | null | null | null | simple_amqp_rpc/data.py | rudineirk/py-simple-amqp-rpc | 823b6efe271732495d4e3ccdcb9f4d85138c1d42 | [
"MIT"
] | 1 | 2021-06-01T22:28:43.000Z | 2021-06-01T22:28:43.000Z | simple_amqp_rpc/data.py | rudineirk/py-simple-amqp-rpc | 823b6efe271732495d4e3ccdcb9f4d85138c1d42 | [
"MIT"
] | null | null | null | from typing import Any, List
from dataclasses import dataclass, replace
from .consts import OK
| 15.448276 | 42 | 0.654018 |
ad000563b867048b766de0b54cb60801221e67a0 | 598 | py | Python | fileparse/python/main.py | mlavergn/benchmarks | 4663009772c71d7c94bcd13eec542d1ce33cef72 | [
"Unlicense"
] | null | null | null | fileparse/python/main.py | mlavergn/benchmarks | 4663009772c71d7c94bcd13eec542d1ce33cef72 | [
"Unlicense"
] | null | null | null | fileparse/python/main.py | mlavergn/benchmarks | 4663009772c71d7c94bcd13eec542d1ce33cef72 | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
import timeit
setup = '''
import os
def FileTest(path):
file = open(path, "r")
lines = file.readlines()
data = [None for i in range(len(lines))]
i = 0
for line in lines:
data[i] = line.split(',')
j = 0
for field in data[i]:
data[i][j] = field.strip('\\'\\n')
j += 1
i += 1
re... | 20.62069 | 93 | 0.605351 |
ad005ad94d7f773d61fa5f1363d44b1d458fd462 | 5,475 | py | Python | boris/classification.py | fragaria/BorIS | 9585c83f29220d8f63910dabd98641ab41ace6cf | [
"MIT"
] | 1 | 2021-08-10T14:01:26.000Z | 2021-08-10T14:01:26.000Z | boris/classification.py | fragaria/BorIS | 9585c83f29220d8f63910dabd98641ab41ace6cf | [
"MIT"
] | 5 | 2018-04-04T14:31:34.000Z | 2020-06-08T07:50:23.000Z | boris/classification.py | fragaria/BorIS | 9585c83f29220d8f63910dabd98641ab41ace6cf | [
"MIT"
] | 4 | 2017-02-06T15:38:34.000Z | 2018-03-21T09:40:12.000Z | # -*- coding: utf-8 -*-
'''
Created on 25.9.2011
@author: xaralis
'''
from model_utils import Choices
SEXES = Choices(
(1, 'FEMALE', u'ena'),
(2, 'MALE', u'mu')
)
NATIONALITIES = Choices(
(1, 'CZ', u'esk republika'),
(2, 'EU', u'Jin - EU'),
(3, 'NON_EU', u'Jin - non-EU'),
(4, 'UNKNOWN', u'Nezn... | 32.589286 | 96 | 0.606575 |
9a735bf957ffc30fea6d0bb1fe8f079ce7582eb6 | 23,569 | py | Python | extern/face_expression/face_expression/dataset.py | wangxihao/rgbd-kinect-pose | 03180723c99759ba2500bcd42b5fe7a1d26eb507 | [
"MIT"
] | 1 | 2022-02-07T06:12:26.000Z | 2022-02-07T06:12:26.000Z | extern/face_expression/face_expression/dataset.py | wangxihao/rgbd-kinect-pose | 03180723c99759ba2500bcd42b5fe7a1d26eb507 | [
"MIT"
] | null | null | null | extern/face_expression/face_expression/dataset.py | wangxihao/rgbd-kinect-pose | 03180723c99759ba2500bcd42b5fe7a1d26eb507 | [
"MIT"
] | null | null | null | import os
import sys
import json
import pickle
import h5py
from tqdm import tqdm
import numpy as np
import torch
import cv2
import scipy.spatial
import hydra
from face_expression import utils
from face_expression.third_party.face_mesh_mediapipe import FaceMeshMediaPipe
# class VoxCeleb2FaceDataset(torch.utils.data... | 37.058176 | 125 | 0.566252 |
9a75886d1c5240a727719c8116254cb13ec6d703 | 1,316 | py | Python | session7/OLED_Clock.py | rezafari/raspberry | e6720780f3c65ee1809040fc538f793fe44f0111 | [
"MIT"
] | null | null | null | session7/OLED_Clock.py | rezafari/raspberry | e6720780f3c65ee1809040fc538f793fe44f0111 | [
"MIT"
] | null | null | null | session7/OLED_Clock.py | rezafari/raspberry | e6720780f3c65ee1809040fc538f793fe44f0111 | [
"MIT"
] | null | null | null | ######################################################################
# OLED_Clock.py
#
# This program display date and time on OLED module
######################################################################
import Adafruit_SSD1306
from datetime import datetime
import time
from PIL import Image
from PIL impo... | 29.244444 | 70 | 0.634498 |
9a75a5f4ae8ec0f7ef5613e16f951ea62c4bd8de | 9,601 | py | Python | odim/router.py | belda/odim | ea49284c4bfc76ac6cb436577c128b20c2c4004c | [
"MIT"
] | 5 | 2021-01-29T11:00:10.000Z | 2021-05-18T23:23:32.000Z | odim/router.py | belda/odim | ea49284c4bfc76ac6cb436577c128b20c2c4004c | [
"MIT"
] | 1 | 2021-11-16T10:22:43.000Z | 2021-11-16T10:22:43.000Z | odim/router.py | belda/odim | ea49284c4bfc76ac6cb436577c128b20c2c4004c | [
"MIT"
] | 1 | 2021-02-18T14:45:43.000Z | 2021-02-18T14:45:43.000Z | '''
Contains the extended FastAPI router, for simplified CRUD from a model
'''
from typing import Any, List, Optional, Sequence, Set, Type, Union
import fastapi
from fastapi import Depends, params
from pydantic import BaseModel, create_model
from odim import Odim, OkResponse, SearchResponse
from odim.dependencies imp... | 43.247748 | 187 | 0.584939 |
9a760367155f89800e9ffffd081d1132a56544e5 | 194 | py | Python | scripts/item/consume_2432803.py | Snewmy/swordie | ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17 | [
"MIT"
] | null | null | null | scripts/item/consume_2432803.py | Snewmy/swordie | ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17 | [
"MIT"
] | null | null | null | scripts/item/consume_2432803.py | Snewmy/swordie | ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17 | [
"MIT"
] | null | null | null | # Princess No Damage Skin (30-Days)
success = sm.addDamageSkin(2432803)
if success:
sm.chat("The Princess No Damage Skin (30-Days) has been added to your account's damage skin collection.")
| 38.8 | 109 | 0.747423 |
9a768a1c9833791d7a707ef08123594b6480d371 | 1,184 | py | Python | tests/test_product.py | technicapital/stake-python | 8d0a985923318ca7b92f23e0c9a8319a75f37ff2 | [
"Apache-2.0"
] | null | null | null | tests/test_product.py | technicapital/stake-python | 8d0a985923318ca7b92f23e0c9a8319a75f37ff2 | [
"Apache-2.0"
] | null | null | null | tests/test_product.py | technicapital/stake-python | 8d0a985923318ca7b92f23e0c9a8319a75f37ff2 | [
"Apache-2.0"
] | null | null | null | import asyncio
import aiohttp
import pytest
from .client import HttpClient
from .constant import Url
from .product import Product
| 26.909091 | 76 | 0.697635 |
9a76e7fea3dd34891002703a3d4d4adaf6c009dc | 1,346 | py | Python | data_utils.py | tar-bin/DeepAA | acdae33a410eec87eb22419fce0adb513fa97219 | [
"MIT"
] | 1 | 2021-07-27T09:31:20.000Z | 2021-07-27T09:31:20.000Z | data_utils.py | tar-bin/DeepAA | acdae33a410eec87eb22419fce0adb513fa97219 | [
"MIT"
] | null | null | null | data_utils.py | tar-bin/DeepAA | acdae33a410eec87eb22419fce0adb513fa97219 | [
"MIT"
] | null | null | null | import numpy as np
from PIL import Image, ImageOps
| 26.392157 | 83 | 0.581724 |
9a77a425a1b61dc019f50e24ad07e8460b1a7df9 | 2,839 | py | Python | ledfx/color.py | broccoliboy/LedFx | 1c90d5c3ddaf993a072eab92d3e373dd3b0fb45c | [
"MIT"
] | 524 | 2020-12-18T19:34:55.000Z | 2022-03-31T14:52:25.000Z | ledfx/color.py | broccoliboy/LedFx | 1c90d5c3ddaf993a072eab92d3e373dd3b0fb45c | [
"MIT"
] | 119 | 2020-12-18T21:28:12.000Z | 2022-03-31T14:44:02.000Z | ledfx/color.py | broccoliboy/LedFx | 1c90d5c3ddaf993a072eab92d3e373dd3b0fb45c | [
"MIT"
] | 85 | 2020-12-18T18:23:16.000Z | 2022-03-29T16:37:52.000Z | from collections import namedtuple
RGB = namedtuple("RGB", "red, green, blue")
COLORS = {
"red": RGB(255, 0, 0),
"orange-deep": RGB(255, 40, 0),
"orange": RGB(255, 120, 0),
"yellow": RGB(255, 200, 0),
"yellow-acid": RGB(160, 255, 0),
"green": RGB(0, 255, 0),
"green-forest": RGB(34, 139, 34... | 27.833333 | 79 | 0.446988 |
9a7853c5ab201c882d582391f394325cd2ad7796 | 1,247 | py | Python | src/test/nspawn_test/support/header_test.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | 15 | 2019-10-10T17:35:48.000Z | 2022-01-29T10:41:01.000Z | src/test/nspawn_test/support/header_test.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | null | null | null | src/test/nspawn_test/support/header_test.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | 2 | 2019-10-10T17:36:43.000Z | 2020-06-20T15:28:33.000Z |
from nspawn.support.header import *
| 25.44898 | 58 | 0.57498 |
9a786a26a6979489803db0c2519bf5cf50427d08 | 2,042 | py | Python | game1.py | akulakov/learnprogramming | ed7d557dabbef697773b4b369c8ed9cd3cdd55a6 | [
"Apache-2.0"
] | null | null | null | game1.py | akulakov/learnprogramming | ed7d557dabbef697773b4b369c8ed9cd3cdd55a6 | [
"Apache-2.0"
] | null | null | null | game1.py | akulakov/learnprogramming | ed7d557dabbef697773b4b369c8ed9cd3cdd55a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from helpers import sjoin, cjoin
from random import shuffle
card_types = [
("tax",1,1), # tax everyone 2 coins => bank
("soldier",2,1),
("sergeant",3,1),
("captain",4,2),
("emperor",1,5),
("prince",1,1), #... | 24.023529 | 65 | 0.519589 |
9a78db38d0f259372303620cba450346c37cd245 | 683 | py | Python | src/plotting/plot_permeability.py | pgniewko/Deep-Rock | b714b98a2c391b4a43c62412769e5732cbd0d07a | [
"BSD-3-Clause"
] | 1 | 2019-11-18T04:51:02.000Z | 2019-11-18T04:51:02.000Z | src/plotting/plot_permeability.py | pgniewko/Deep-Rock | b714b98a2c391b4a43c62412769e5732cbd0d07a | [
"BSD-3-Clause"
] | null | null | null | src/plotting/plot_permeability.py | pgniewko/Deep-Rock | b714b98a2c391b4a43c62412769e5732cbd0d07a | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
#
# Usage:
# python
#
import sys
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="darkgrid")
data = np.loadtxt(sys.argv[1])
kappa_LB, kappa_CNN = data.T
kappa_LB = 10.0 ** kappa_LB
kappa_CNN = 10.0 ** kappa_CNN
fig, ax = plt.subplots(1, 1, sharey=True, ... | 21.34375 | 57 | 0.707174 |
9a79ab000b884a1fa7eeff49e8a3570bf0211367 | 1,664 | py | Python | functions/python/todo-app.py | swiftycloud/swifty.todoapp | 1a36c6e6f1af4584a8c0151e15e9ffcf2453f8c1 | [
"MIT"
] | 5 | 2018-11-08T17:07:43.000Z | 2019-04-23T15:18:31.000Z | functions/python/todo-app.py | swiftycloud/swifty.todoapp | 1a36c6e6f1af4584a8c0151e15e9ffcf2453f8c1 | [
"MIT"
] | null | null | null | functions/python/todo-app.py | swiftycloud/swifty.todoapp | 1a36c6e6f1af4584a8c0151e15e9ffcf2453f8c1 | [
"MIT"
] | 3 | 2018-11-08T17:07:47.000Z | 2020-11-22T00:20:38.000Z | import bson
import json
import swifty
#
# GET /tasks -- list tasks
# POST /tasks $BODY -- add new task
# GET /tasks/ID -- get info about task
# PUT /tasks/ID -- update task (except status)
# DELETE /tasks/ID -- remove task
# POST /tasks/ID/done -- mark task as done
#
| 25.6 | 82 | 0.477163 |
9a79fb2f2787441274d55999dc0843161af999b5 | 401 | py | Python | dmoj/Uncategorized/tss17a.py | UserBlackBox/competitive-programming | 2aa8ffa6df6a386f8e47d084b5fa32d6d741bbbc | [
"Unlicense"
] | null | null | null | dmoj/Uncategorized/tss17a.py | UserBlackBox/competitive-programming | 2aa8ffa6df6a386f8e47d084b5fa32d6d741bbbc | [
"Unlicense"
] | null | null | null | dmoj/Uncategorized/tss17a.py | UserBlackBox/competitive-programming | 2aa8ffa6df6a386f8e47d084b5fa32d6d741bbbc | [
"Unlicense"
] | null | null | null | # https://dmoj.ca/problem/tss17a
# https://dmoj.ca/submission/2226280
import sys
n = int(sys.stdin.readline()[:-1])
for i in range(n):
instruction = sys.stdin.readline()[:-1].split()
printed = False
for j in range(3):
if instruction.count(instruction[j]) >= 2:
print(instruction[j])
... | 26.733333 | 51 | 0.578554 |
9a7ad9eea9244d2609a2517f92f7fc289fb240da | 1,159 | py | Python | todo/views/users_detail.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | null | null | null | todo/views/users_detail.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | 41 | 2021-03-23T12:58:25.000Z | 2021-05-25T11:38:42.000Z | todo/views/users_detail.py | josalhor/WebModels | 6b9cde3141c53562f40b129e6e1c87448ce9853a | [
"BSD-3-Clause"
] | null | null | null | from todo.templatetags.todo_tags import is_management
from django.contrib.auth.decorators import login_required, user_passes_test
from django.http import HttpResponse
from django.shortcuts import render
from todo.models import Designer, Management, Writer, Editor
| 30.5 | 75 | 0.667817 |
9a7cfcbc63f3c97c82737bfbbfa13e26624618e7 | 214 | py | Python | src/librhc/cost/__init__.py | arnavthareja/mushr_pixelart_mpc | db6ee6cae9b4cb1d3b213fed06690074372c824b | [
"BSD-3-Clause"
] | 5 | 2019-08-30T08:20:27.000Z | 2021-08-01T17:16:16.000Z | src/librhc/cost/__init__.py | arnavthareja/mushr_pixelart_mpc | db6ee6cae9b4cb1d3b213fed06690074372c824b | [
"BSD-3-Clause"
] | 1 | 2020-09-09T13:38:08.000Z | 2020-12-15T12:20:26.000Z | src/librhc/cost/__init__.py | arnavthareja/mushr_pixelart_mpc | db6ee6cae9b4cb1d3b213fed06690074372c824b | [
"BSD-3-Clause"
] | 4 | 2019-09-14T21:26:09.000Z | 2021-08-27T23:01:41.000Z | # Copyright (c) 2019, The Personal Robotics Lab, The MuSHR Team, The Contributors of MuSHR
# License: BSD 3-Clause. See LICENSE.md file in root directory.
from .waypoints import Waypoints
__all__ = ["Waypoints"]
| 30.571429 | 90 | 0.757009 |
9a7d3e4f21c385675dec5f7b1784429e468d978e | 1,401 | py | Python | 759/Employee Free Time.py | cccccccccccccc/Myleetcode | fb3fa6df7c77feb2d252feea7f3507569e057c70 | [
"Apache-2.0"
] | null | null | null | 759/Employee Free Time.py | cccccccccccccc/Myleetcode | fb3fa6df7c77feb2d252feea7f3507569e057c70 | [
"Apache-2.0"
] | null | null | null | 759/Employee Free Time.py | cccccccccccccc/Myleetcode | fb3fa6df7c77feb2d252feea7f3507569e057c70 | [
"Apache-2.0"
] | null | null | null | from typing import List
import heapq
# Definition for an Interval.
i1 = Interval(1,2)
i2 = Interval(6,7)
i3 = Interval(2,4)
i4 = Interval(2,5)
i5 = Interval(9,12)
A = Solution()
print(A.employeeFreeTime([[i1,i2],[i3],[i4,i5]])) | 31.840909 | 104 | 0.532477 |
9a7d9c6b811efb6d15e0d51600e0fd5bb7bf8479 | 41,312 | py | Python | Comms1_internal/Final.py | CoderStellaJ/CG4002 | 474bda123856d8a88bef5ff787259fcd9ba9f09a | [
"MIT"
] | null | null | null | Comms1_internal/Final.py | CoderStellaJ/CG4002 | 474bda123856d8a88bef5ff787259fcd9ba9f09a | [
"MIT"
] | 10 | 2020-01-28T14:17:26.000Z | 2020-02-05T04:53:06.000Z | Comms1_internal/Final.py | CoderStellaJ/CG4002 | 474bda123856d8a88bef5ff787259fcd9ba9f09a | [
"MIT"
] | 5 | 2021-01-21T08:00:56.000Z | 2021-09-28T05:06:36.000Z | from bluepy import btle
import concurrent
from concurrent import futures
import threading
import multiprocessing
import time
from time_sync import *
import eval_client
import dashBoardClient
from joblib import dump, load
import numpy # to count labels and store in dict
import operator # to get most predicted label
im... | 47.052392 | 188 | 0.495788 |
9a7dca2e7b004aae5d55d6951056ac9880930921 | 3,100 | py | Python | tests/test_relations.py | OneRaynyDay/treeno | ce11b8447f471c0b5ea596a211b3855625ec43eb | [
"MIT"
] | 1 | 2021-12-28T19:00:01.000Z | 2021-12-28T19:00:01.000Z | tests/test_relations.py | OneRaynyDay/treeno | ce11b8447f471c0b5ea596a211b3855625ec43eb | [
"MIT"
] | null | null | null | tests/test_relations.py | OneRaynyDay/treeno | ce11b8447f471c0b5ea596a211b3855625ec43eb | [
"MIT"
] | null | null | null | import unittest
from treeno.base import PrintMode, PrintOptions
from treeno.expression import Array, Field, wrap_literal
from treeno.orderby import OrderTerm, OrderType
from treeno.relation import (
AliasedRelation,
Lateral,
SampleType,
Table,
TableQuery,
TableSample,
Unnest,
ValuesQuer... | 31 | 84 | 0.560968 |
9a7dd31031b6e51089b5322681d7a6bf9e613fcf | 4,257 | py | Python | tests/preprocess/test_har.py | henry1jin/alohamora | e51e2488ecdf3e9692d5bb6b25ebc88622087c20 | [
"MIT"
] | 5 | 2020-12-16T03:13:59.000Z | 2022-03-06T07:16:39.000Z | tests/preprocess/test_har.py | henry1jin/alohamora | e51e2488ecdf3e9692d5bb6b25ebc88622087c20 | [
"MIT"
] | 9 | 2020-09-25T23:25:59.000Z | 2022-03-11T23:45:14.000Z | tests/preprocess/test_har.py | henry1jin/alohamora | e51e2488ecdf3e9692d5bb6b25ebc88622087c20 | [
"MIT"
] | 3 | 2019-10-16T21:22:07.000Z | 2020-07-21T13:38:22.000Z | import random
from blaze.chrome.har import har_from_json, Har, HarLog, HarEntry, Request, Response
from blaze.config.environment import ResourceType
from blaze.preprocess.har import get_har_entry_type, har_entries_to_resources
from blaze.util.seq import ordered_uniq
from tests.mocks.config import get_config
from test... | 45.287234 | 109 | 0.624383 |
9a7f8708794c267295590be4b52b94df73d85efd | 1,245 | py | Python | Loader.py | JaredDobry/Budgeting-Fool | 0f4ab5dea3b0750b7bf018de1d456a5587dbeb17 | [
"MIT"
] | null | null | null | Loader.py | JaredDobry/Budgeting-Fool | 0f4ab5dea3b0750b7bf018de1d456a5587dbeb17 | [
"MIT"
] | null | null | null | Loader.py | JaredDobry/Budgeting-Fool | 0f4ab5dea3b0750b7bf018de1d456a5587dbeb17 | [
"MIT"
] | null | null | null | from Budget import Budget, Item
FILENAME = 'Budget.txt'
| 28.295455 | 115 | 0.480321 |
9a801f3178565c7f1b1008bb487a050d3079d8d5 | 448 | py | Python | rush_hour/test_solution.py | ssebastianj/taip-2014 | 2a0e62c4bf755ff752136350c246456d65a8c3eb | [
"MIT"
] | null | null | null | rush_hour/test_solution.py | ssebastianj/taip-2014 | 2a0e62c4bf755ff752136350c246456d65a8c3eb | [
"MIT"
] | null | null | null | rush_hour/test_solution.py | ssebastianj/taip-2014 | 2a0e62c4bf755ff752136350c246456d65a8c3eb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
import pytest
from .solution import calc_minimum_travels
| 23.578947 | 69 | 0.638393 |
9a822f57f1242bdc5f799bb28767d02eb1a10fd9 | 2,573 | py | Python | wordle.py | ccattuto/wordle-device | 65cbd95165cf6c8e7fae508358d58f7e013f5bc8 | [
"CC0-1.0"
] | 7 | 2022-02-01T17:20:29.000Z | 2022-02-15T08:09:19.000Z | wordle.py | ccattuto/wordle-device | 65cbd95165cf6c8e7fae508358d58f7e013f5bc8 | [
"CC0-1.0"
] | 1 | 2022-02-13T15:46:36.000Z | 2022-02-13T15:46:36.000Z | wordle.py | ccattuto/wordle-device | 65cbd95165cf6c8e7fae508358d58f7e013f5bc8 | [
"CC0-1.0"
] | 1 | 2022-02-03T17:33:13.000Z | 2022-02-03T17:33:13.000Z | #!/usr/bin/env python
import sys
from serial.tools import list_ports
import serial
import tweepy
# locate ESP32-C3 USB device
port = None
for device in list_ports.comports():
if device.vid == 0x303a and device.pid == 0x1001:
break
if not device:
sys.exit(-1)
ser = serial.Serial(device.device, baudrat... | 24.504762 | 94 | 0.638943 |
9a8309c0c453e677a70c4041fea94265ebf3f4e3 | 4,664 | py | Python | DeepAlignmentNetwork/menpofit/lk/result.py | chiawei-liu/DeepAlignmentNetwork | 52621cd2f697abe372b88c9ea0ee08f0d93b43d8 | [
"MIT"
] | 220 | 2019-09-01T01:52:04.000Z | 2022-03-28T12:52:07.000Z | DeepAlignmentNetwork/menpofit/lk/result.py | chiawei-liu/DeepAlignmentNetwork | 52621cd2f697abe372b88c9ea0ee08f0d93b43d8 | [
"MIT"
] | 80 | 2015-01-05T16:17:39.000Z | 2020-11-22T13:42:00.000Z | DeepAlignmentNetwork/menpofit/lk/result.py | chiawei-liu/DeepAlignmentNetwork | 52621cd2f697abe372b88c9ea0ee08f0d93b43d8 | [
"MIT"
] | 64 | 2015-02-02T15:11:38.000Z | 2022-02-28T06:19:31.000Z | from menpofit.result import (ParametricIterativeResult,
MultiScaleParametricIterativeResult)
| 44 | 80 | 0.670455 |
9a831450ccec04bdfc6f981e2f3e5d2ad9771f21 | 6,533 | py | Python | source/model.py | BecauseWeCanStudios/LEGOVNO | 97654da906e5d8ee999fea6dbc062914cc5710b2 | [
"MIT"
] | null | null | null | source/model.py | BecauseWeCanStudios/LEGOVNO | 97654da906e5d8ee999fea6dbc062914cc5710b2 | [
"MIT"
] | null | null | null | source/model.py | BecauseWeCanStudios/LEGOVNO | 97654da906e5d8ee999fea6dbc062914cc5710b2 | [
"MIT"
] | null | null | null | import os
import keras
import skimage.io
import keras_contrib.applications
from metrics import *
from mrcnn import utils
from mrcnn import config
from imgaug import augmenters as iaa
from dataset import Dataset, PoseEstimationDataset
import numpy as np
import keras.backend as K
import mrcnn.model as modellib
| 30.386047 | 123 | 0.743762 |
9a83696d4e899b64faddbb5626cfd880f1149543 | 442 | py | Python | donations/urls.py | nanorepublica/django-donations | 349aaf17029f3f9b4723fead3fa28dd85959f14e | [
"BSD-3-Clause"
] | 9 | 2015-10-13T11:41:20.000Z | 2020-11-30T04:38:43.000Z | donations/urls.py | nanorepublica/django-donations | 349aaf17029f3f9b4723fead3fa28dd85959f14e | [
"BSD-3-Clause"
] | 63 | 2015-10-22T17:41:27.000Z | 2021-11-20T12:18:26.000Z | donations/urls.py | nanorepublica/django-donations | 349aaf17029f3f9b4723fead3fa28dd85959f14e | [
"BSD-3-Clause"
] | 3 | 2017-08-29T02:44:12.000Z | 2020-04-07T23:43:12.000Z | from django.conf.urls import include, url
from donations.views import DonateAPI, VerifyAPI
app_name = 'donations'
api_urls = ([
url(r'^donate/$', DonateAPI.as_view(), name="donate"),
url(r'^verify/(?P<pk>[0-9]+)$', VerifyAPI.as_view(), name="verify"),
], "donations")
donations = ([
url(r'^api/', include... | 23.263158 | 72 | 0.651584 |
9a83981c040624137fa42558baa04d53d347c0fc | 3,004 | py | Python | orc8r/tools/fab/vagrant.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 2 | 2020-11-05T18:58:26.000Z | 2021-02-09T06:42:49.000Z | orc8r/tools/fab/vagrant.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 10 | 2021-03-31T20:19:00.000Z | 2022-02-19T07:09:57.000Z | orc8r/tools/fab/vagrant.py | 119Vik/magma-1 | 107a7b374466a837fc0a49b283ba9d6ff1d702e3 | [
"BSD-3-Clause"
] | 3 | 2020-08-20T18:45:34.000Z | 2020-08-20T20:18:42.000Z | """
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
"""
import os.path
from fabric.api import local
from fabric.api import env
def __ensure_in_vagrant_dir():
"""
... | 31.957447 | 81 | 0.617843 |
9a83eb7c6cde3a0afbb0a6028180ce05131c4869 | 1,988 | py | Python | cp_multiply/examples/make_box_packing_cp.py | gkonjevod/multiply_CP | 2410d242a29a340db8184e127d05c5da9d26f1b4 | [
"MIT"
] | null | null | null | cp_multiply/examples/make_box_packing_cp.py | gkonjevod/multiply_CP | 2410d242a29a340db8184e127d05c5da9d26f1b4 | [
"MIT"
] | null | null | null | cp_multiply/examples/make_box_packing_cp.py | gkonjevod/multiply_CP | 2410d242a29a340db8184e127d05c5da9d26f1b4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 19 23:38:25 2022
@author: goran
"""
from ..general_cp import GeneralCP
from ..cp_utils import to_degrees, dihedral_angle, normal
from math import sqrt, pi, tan, atan2
box_packing_cell_nodes = {'A': (2, 0),
'B': (4, 0),
... | 30.121212 | 94 | 0.454728 |
9a862a138eaba7a151db1b55e4b4a041ae8dbd8a | 11,001 | py | Python | kq/queue.py | grofers/kq | 1fc96e2a189901b91fdcde7f829b021b6555e217 | [
"MIT"
] | null | null | null | kq/queue.py | grofers/kq | 1fc96e2a189901b91fdcde7f829b021b6555e217 | [
"MIT"
] | 2 | 2018-09-24T15:43:48.000Z | 2020-06-23T11:15:17.000Z | kq/queue.py | grofers/kq | 1fc96e2a189901b91fdcde7f829b021b6555e217 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, print_function, unicode_literals
import functools
import logging
import time
import uuid
import dill
import kafka
from kafka.errors import KafkaError
from kq.job import Job
def enqueue_with_key(self, key, obj, *args, **kwargs):
"""Place the function call (or the ... | 32.937126 | 78 | 0.579947 |
9a87b0a003cfac44c4b71f5b09ccd17d4a3eced1 | 8,683 | py | Python | python/accel_adxl345/accel_adxl345.py | iorodeo/accel_adxl345 | aadbca1c57840f66a61556ff02e72e8b8e4e93e0 | [
"Apache-2.0"
] | null | null | null | python/accel_adxl345/accel_adxl345.py | iorodeo/accel_adxl345 | aadbca1c57840f66a61556ff02e72e8b8e4e93e0 | [
"Apache-2.0"
] | null | null | null | python/accel_adxl345/accel_adxl345.py | iorodeo/accel_adxl345 | aadbca1c57840f66a61556ff02e72e8b8e4e93e0 | [
"Apache-2.0"
] | null | null | null | """
accel_adxl345.py
This modules defines the AccelADXL345 class for streaming data from the
ADXL345 accelerometers.
"""
import time
import serial
import sys
import numpy
import struct
BUF_EMPTY_NUM = 5
BUF_EMPTY_DT = 0.05
| 27.741214 | 86 | 0.524012 |
9a8866fd681b05cff1de0c32ef8dae40aefe5351 | 831 | py | Python | polling_stations/apps/data_collection/management/commands/import_tower_hamlets.py | mtravis/UK-Polling-Stations | 26e0331dc29253dc436a0462ffaa01e974c5dc52 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/data_collection/management/commands/import_tower_hamlets.py | mtravis/UK-Polling-Stations | 26e0331dc29253dc436a0462ffaa01e974c5dc52 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/data_collection/management/commands/import_tower_hamlets.py | mtravis/UK-Polling-Stations | 26e0331dc29253dc436a0462ffaa01e974c5dc52 | [
"BSD-3-Clause"
] | null | null | null | from data_collection.management.commands import BaseXpressDemocracyClubCsvImporter
| 34.625 | 82 | 0.683514 |
9a89981de0ecebc2323be5e00e13a157cd8dc62f | 8,490 | py | Python | pynaja/common/struct.py | xiaoxiamiya/naja | 222c3e1135bbd2b9a02181273a8a70201fbdf0f5 | [
"Apache-2.0"
] | 1 | 2021-09-07T07:13:53.000Z | 2021-09-07T07:13:53.000Z | pynaja/common/struct.py | xiaoxiamiya/naja | 222c3e1135bbd2b9a02181273a8a70201fbdf0f5 | [
"Apache-2.0"
] | null | null | null | pynaja/common/struct.py | xiaoxiamiya/naja | 222c3e1135bbd2b9a02181273a8a70201fbdf0f5 | [
"Apache-2.0"
] | null | null | null | import struct
from collections import OrderedDict
from configparser import RawConfigParser
from pynaja.common.async_base import Utils
from pynaja.common.error import ConstError
| 21.493671 | 74 | 0.607538 |
9a8b2c9a4fe128befea072dd96f7b456a616ecd8 | 15,178 | py | Python | YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py | ForrestPi/ObjectDetection | 54e0821e73f67be5360c36f01229a123c34ab3b3 | [
"MIT"
] | 12 | 2020-03-25T01:24:22.000Z | 2021-09-18T06:40:16.000Z | YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py | ForrestPi/ObjectDetection | 54e0821e73f67be5360c36f01229a123c34ab3b3 | [
"MIT"
] | 1 | 2020-04-22T07:52:36.000Z | 2020-04-22T07:52:36.000Z | YOLO/Stronger-yolo-pytorch/port2tf/yolov3.py | ForrestPi/ObjectDetection | 54e0821e73f67be5360c36f01229a123c34ab3b3 | [
"MIT"
] | 4 | 2020-03-25T01:24:26.000Z | 2020-09-20T11:29:09.000Z | # coding:utf-8
import numpy as np
import tensorflow as tf
from layers import *
from MobilenetV2 import MobilenetV2,MobilenetV2_dynamic
| 80.306878 | 158 | 0.566346 |
9a8ce9049f7230937ae69e4978f32515e2f46236 | 654 | py | Python | saltlint/rules/CmdWaitRecommendRule.py | Poulpatine/salt-lint | 304917d95d2730e7df8bd7b5dd29a3bd77c80250 | [
"MIT"
] | null | null | null | saltlint/rules/CmdWaitRecommendRule.py | Poulpatine/salt-lint | 304917d95d2730e7df8bd7b5dd29a3bd77c80250 | [
"MIT"
] | null | null | null | saltlint/rules/CmdWaitRecommendRule.py | Poulpatine/salt-lint | 304917d95d2730e7df8bd7b5dd29a3bd77c80250 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2020 Warpnet B.V.
import re
from saltlint.linter.rule import DeprecationRule
from saltlint.utils import LANGUAGE_SLS
| 28.434783 | 100 | 0.697248 |
9a8d3871c093dea84d65b938bf3c599a010db785 | 7,818 | py | Python | sdks/python/apache_beam/ml/inference/pytorch_test.py | hengfengli/beam | 83a8855e5997e0311e6274c03bcb38f94efbf8ef | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | sdks/python/apache_beam/ml/inference/pytorch_test.py | hengfengli/beam | 83a8855e5997e0311e6274c03bcb38f94efbf8ef | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | sdks/python/apache_beam/ml/inference/pytorch_test.py | hengfengli/beam | 83a8855e5997e0311e6274c03bcb38f94efbf8ef | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 37.228571 | 80 | 0.661678 |
9a8deeda4be2011a1d0dba2c5373aa43b91fc628 | 6,636 | py | Python | example/test/L20_snake.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | 2 | 2021-12-18T06:34:26.000Z | 2022-01-05T05:08:47.000Z | example/test/L20_snake.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | null | null | null | example/test/L20_snake.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | null | null | null |
import pygame
import sys
import time
import random
from pygame.locals import *
# Pygame Init
pygame.init()
# Play Surface
size = width, height = 800, 800
screen = pygame.display.set_mode(size)
pygame.display.set_caption("Snake Change")
# Colors
red = (255, 0, 0)
green = (0, 255, 0)
black = (0, 0, 0)
white = (255, 25... | 25.231939 | 109 | 0.518987 |
9a8e3182ccf25a9266ba55ff765c256d44cf7bcc | 4,203 | py | Python | readgadget/readrockstar.py | danielmarostica/pygadgetreader | 977949da7fcb6585f3e0270019d369c6967b317c | [
"BSD-3-Clause"
] | 6 | 2020-09-02T21:11:59.000Z | 2021-09-24T16:12:44.000Z | readgadget/readrockstar.py | danielmarostica/pygadgetreader | 977949da7fcb6585f3e0270019d369c6967b317c | [
"BSD-3-Clause"
] | 1 | 2021-09-24T14:40:03.000Z | 2021-09-25T20:07:13.000Z | readgadget/readrockstar.py | danielmarostica/pygadgetreader | 977949da7fcb6585f3e0270019d369c6967b317c | [
"BSD-3-Clause"
] | 1 | 2020-11-18T19:15:39.000Z | 2020-11-18T19:15:39.000Z | from .modules.common import *
import numpy as np
import os
from .modules.rs_structs import getRSformat
def compileReturnArray(RS,data):
"""compile data from RS binary and return requested value"""
arr = []
singleval = False
## return particle ID data
if data == 'particles':
npart = 0
... | 30.23741 | 93 | 0.578158 |
9a8e4ada3be3bb52b1edcd6ad889f5b0b8142092 | 7,019 | py | Python | src/backend/preprocess/preprocess_helper.py | scmc/vch-mri | ffd2a7b60d770a76b545ce271f85e12f53cfb3ad | [
"MIT"
] | 1 | 2021-12-01T23:40:20.000Z | 2021-12-01T23:40:20.000Z | src/backend/preprocess/preprocess_helper.py | scmc/vch-mri | ffd2a7b60d770a76b545ce271f85e12f53cfb3ad | [
"MIT"
] | 5 | 2021-03-11T03:07:38.000Z | 2021-03-11T03:11:43.000Z | src/backend/preprocess/preprocess_helper.py | scmc/vch-mri | ffd2a7b60d770a76b545ce271f85e12f53cfb3ad | [
"MIT"
] | 18 | 2020-12-30T22:04:44.000Z | 2021-12-01T23:40:23.000Z | import boto3
from datetime import datetime, date
import re
import string
import pandas as pd
from spellchecker import SpellChecker
import uuid
import psycopg2
from psycopg2 import sql
import sys
sys.path.append('.')
from rule_processing import postgresql
compr = boto3.client(service_name='comprehend')
compr_m = bot... | 34.747525 | 105 | 0.540248 |
9a8e57b168ea55c696b5fec3c4c437440c05734d | 1,182 | py | Python | script_example.py | op8867555/BGmi | 22a7b0292f0fe435e87208154826d8f5baeb7b67 | [
"MIT"
] | null | null | null | script_example.py | op8867555/BGmi | 22a7b0292f0fe435e87208154826d8f5baeb7b67 | [
"MIT"
] | null | null | null | script_example.py | op8867555/BGmi | 22a7b0292f0fe435e87208154826d8f5baeb7b67 | [
"MIT"
] | null | null | null | import datetime
from bgmi.script import ScriptBase
from bgmi.utils import parse_episode
if __name__ == "__main__":
s = Script()
print(s.get_download_url())
| 26.863636 | 86 | 0.5 |
9a8e626f8a8e604d6b65b5bcce02a4426d19dada | 677 | py | Python | 3. Python Advanced (September 2021)/3.1 Python Advanced (September 2021)/10. Exercise - Functions Advanced/11_fill_the_box.py | kzborisov/SoftUni | ccb2b8850adc79bfb2652a45124c3ff11183412e | [
"MIT"
] | 1 | 2021-02-07T07:51:12.000Z | 2021-02-07T07:51:12.000Z | 3. Python Advanced (September 2021)/3.1 Python Advanced (September 2021)/10. Exercise - Functions Advanced/11_fill_the_box.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | 3. Python Advanced (September 2021)/3.1 Python Advanced (September 2021)/10. Exercise - Functions Advanced/11_fill_the_box.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | from collections import deque
print(fill_the_box(2, 8, 2, 2, 1, 7, 3, 1, 5, "Finish"))
print(fill_the_box(5, 5, 2, 40, 11, 7, 3, 1, 5, "Finish"))
print(fill_the_box(10, 10, 10, 40, "Finish", 2, 15, 30))
| 29.434783 | 92 | 0.583456 |
9a8fedf028eb554590720a2eafe70d6a08a4c617 | 19,617 | py | Python | src/the_tale/the_tale/common/utils/views.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null | src/the_tale/the_tale/common/utils/views.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null | src/the_tale/the_tale/common/utils/views.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null |
import smart_imports
smart_imports.all()
# for external code
ViewError = utils_exceptions.ViewError
# TODO: write metaclass for processing processor arguments
# TODO: refactor error/errors
# TODO: refactor error/errors
def mime_type_to_response_type(content_type):
if content_type... | 30.18 | 144 | 0.62247 |
9a90d892378e62b46598d590087d4afcc5ce7a6c | 269 | py | Python | NeoAnalysis_Py2.7/NeoAnalysis/__init__.py | Research-lab-KUMS/NeoAnalysis | 32b508dfade3069b1ec5cc7664574b8d3f2d5f57 | [
"MIT"
] | 23 | 2017-09-04T13:20:38.000Z | 2022-03-08T08:15:17.000Z | NeoAnalysis_Py2.7/NeoAnalysis/__init__.py | Research-lab-KUMS/NeoAnalysis | 32b508dfade3069b1ec5cc7664574b8d3f2d5f57 | [
"MIT"
] | 4 | 2018-01-05T13:44:29.000Z | 2021-09-30T17:08:15.000Z | NeoAnalysis_Py2.7/NeoAnalysis/__init__.py | neoanalysis/NeoAnalysis | c5f25b71e16997f3a05f70b1eead11f99a3b7e2b | [
"MIT"
] | 5 | 2017-11-26T19:40:46.000Z | 2021-03-11T17:25:23.000Z | __version__ = '0.10.0'
from NeoAnalysis.spikedetection import SpikeDetection
from NeoAnalysis.spikesorting import SpikeSorting
from NeoAnalysis.analogfilter import AnalogFilter
from NeoAnalysis.graphics import Graphics
from NeoAnalysis.popuanalysis import PopuAnalysis
| 38.428571 | 53 | 0.877323 |
9a91a0bb1c2222107ec4d2fbb68724bb0b797301 | 247 | py | Python | paperplane/backends/click/choice.py | abhilash1in/paperplane | 1dfda182dc8a70fe08fa2284ea63b434246c394b | [
"MIT"
] | null | null | null | paperplane/backends/click/choice.py | abhilash1in/paperplane | 1dfda182dc8a70fe08fa2284ea63b434246c394b | [
"MIT"
] | null | null | null | paperplane/backends/click/choice.py | abhilash1in/paperplane | 1dfda182dc8a70fe08fa2284ea63b434246c394b | [
"MIT"
] | null | null | null | import click
from typing import Any, Optional
from paperplane.backends.click import _prompt
| 30.875 | 84 | 0.777328 |
9a95474d7bed8dc0c9bdace087bfb79423d63386 | 1,012 | py | Python | lib/python/treadmill/api/nodeinfo.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | 2 | 2017-10-31T18:48:20.000Z | 2018-03-04T20:35:20.000Z | lib/python/treadmill/api/nodeinfo.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | lib/python/treadmill/api/nodeinfo.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | """Implementation of allocation API.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from treadmill import discovery
from treadmill import context
_LOGGER = logging.getLogger(__name__)
| 24.095238 | 66 | 0.609684 |
9a95d81d2c4081cc80031302b6a6bfe2482c9c94 | 167 | py | Python | new/views.py | Sravan996/django | 3a982382d5cfe9bfb498534f1effcf58a3771539 | [
"MIT"
] | null | null | null | new/views.py | Sravan996/django | 3a982382d5cfe9bfb498534f1effcf58a3771539 | [
"MIT"
] | null | null | null | new/views.py | Sravan996/django | 3a982382d5cfe9bfb498534f1effcf58a3771539 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.shortcuts import HttpResponse
# Create your views here.
| 20.875 | 41 | 0.790419 |
9a969dcb4bdc1a8eee56b110c60c1611472a3520 | 1,834 | py | Python | bob-ross/cluster-paintings.py | h4ckfu/data | bdc02fd5051dfb31e42f8e078832ceead92f9958 | [
"CC-BY-4.0"
] | 16,124 | 2015-01-01T06:18:12.000Z | 2022-03-31T00:46:52.000Z | bob-ross/cluster-paintings.py | h4ckfu/data | bdc02fd5051dfb31e42f8e078832ceead92f9958 | [
"CC-BY-4.0"
] | 179 | 2015-01-07T10:19:57.000Z | 2022-02-21T21:19:14.000Z | bob-ross/cluster-paintings.py | h4ckfu/data | bdc02fd5051dfb31e42f8e078832ceead92f9958 | [
"CC-BY-4.0"
] | 12,163 | 2015-01-03T14:23:36.000Z | 2022-03-31T10:10:23.000Z | """
Clusters Bob Ross paintings by features.
By Walter Hickey <walter.hickey@fivethirtyeight.com>
See http://fivethirtyeight.com/features/a-statistical-analysis-of-the-work-of-bob-ross/
"""
import numpy as np
from scipy.cluster.vq import vq, kmeans, whiten
import math
import csv
if __name__ == "__main__":
main(... | 31.084746 | 93 | 0.640676 |
9a96b491ff08bc06ac888649b8beb70e3e05070b | 880 | py | Python | corvette/__init__.py | philipkiely/corvette | 71632f9ed9d628c207c79f6f1b2ee98d911657b7 | [
"MIT"
] | null | null | null | corvette/__init__.py | philipkiely/corvette | 71632f9ed9d628c207c79f6f1b2ee98d911657b7 | [
"MIT"
] | null | null | null | corvette/__init__.py | philipkiely/corvette | 71632f9ed9d628c207c79f6f1b2ee98d911657b7 | [
"MIT"
] | null | null | null | import os
import sys
import json
from corvette.autoindex import autoindex
| 30.344828 | 71 | 0.643182 |
9a970d49581e1f0dbf4db3373345dd1070a85ab1 | 1,965 | py | Python | main.py | theoboldt/pitemp | 366f2d1459144fa7f5e3e5526ee0a4e334f52d37 | [
"Apache-2.0"
] | null | null | null | main.py | theoboldt/pitemp | 366f2d1459144fa7f5e3e5526ee0a4e334f52d37 | [
"Apache-2.0"
] | null | null | null | main.py | theoboldt/pitemp | 366f2d1459144fa7f5e3e5526ee0a4e334f52d37 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import sensor
import lcd
import csv
import time
import os
import datetime
import sys
import re
import circular_buffer
lcd.init()
last_time = datetime.datetime.now()
last_minute = last_time.minute
probe_minute_01 = circular_buffer.CircularBuffer(size=30)
probe_minute_15 = circular_buffer.CircularBu... | 30.230769 | 110 | 0.679898 |
9a9716f606a1775600dbcfac690fb2f212514d33 | 9,988 | py | Python | package/github-endpoints.py | wahyu9kdl/wahyu9kdl.github.io | c7c8ee1c3e7a2eb072467cb43e979ef4fc76d6fa | [
"MIT"
] | 2 | 2021-12-05T22:40:52.000Z | 2022-01-17T08:48:13.000Z | package/github-endpoints.py | wahyu9kdl/wahyu9kdl.github.io | c7c8ee1c3e7a2eb072467cb43e979ef4fc76d6fa | [
"MIT"
] | 1 | 2022-01-12T13:58:28.000Z | 2022-01-12T13:58:28.000Z | package/github-endpoints.py | wahyu9kdl/wahyu9kdl.github.io | c7c8ee1c3e7a2eb072467cb43e979ef4fc76d6fa | [
"MIT"
] | 1 | 2022-01-12T19:20:26.000Z | 2022-01-12T19:20:26.000Z | #!/usr/bin/python3
# I don't believe in license.
# You can do whatever you want with this program.
import os
import sys
import re
import time
import requests
import random
import argparse
from urllib.parse import urlparse
from functools import partial
from colored import fg, bg, attr
from multiprocessing.dummy import... | 31.507886 | 135 | 0.505406 |
9a983eb032aad5191f1e045e13d058aec5f59848 | 7,952 | py | Python | information111/info/user/views.py | SNxiaobei/text | 637018ff89d992c2ed23f5c90fa2010023bc2ff3 | [
"MIT"
] | null | null | null | information111/info/user/views.py | SNxiaobei/text | 637018ff89d992c2ed23f5c90fa2010023bc2ff3 | [
"MIT"
] | null | null | null | information111/info/user/views.py | SNxiaobei/text | 637018ff89d992c2ed23f5c90fa2010023bc2ff3 | [
"MIT"
] | null | null | null | from flask import abort
from flask import current_app
from flask import g
from flask import request
from flask import session
from info import constants
from info import db
from info.models import Category, News, User
from info.utils.response_code import RET
from . import profile_blue
from flask import render_template... | 26.774411 | 106 | 0.649774 |
9a9a15482e95aa7f0388513fb55229cb50c955bb | 962 | py | Python | code/magicsquares/mgsq/three_by_three.py | gerritjvv/blog | 26dbba7b38ed7aae63467720fcac2d95da1a0d7f | [
"MIT"
] | null | null | null | code/magicsquares/mgsq/three_by_three.py | gerritjvv/blog | 26dbba7b38ed7aae63467720fcac2d95da1a0d7f | [
"MIT"
] | null | null | null | code/magicsquares/mgsq/three_by_three.py | gerritjvv/blog | 26dbba7b38ed7aae63467720fcac2d95da1a0d7f | [
"MIT"
] | null | null | null | """
Solves a 3x3 square programmatically.
It is not meant to be a full blown solution for magic squares, but rather a writeup
of my thoughts on how it can be solved.
"""
import statistics
def make_pairs(I, mid):
"""
We take pairs as [ [9, 1], [8, 2], [7, 3], [6, 4]]
:param I:
:param mid:
:return:... | 20.041667 | 83 | 0.546778 |
9a9a50511abf52afcd61e02d8aeff1032454c0a6 | 3,379 | py | Python | utils/videoJob.py | dbpeng/aws-lambda-python-example-zencoder | 3c3e2d2ea88be824a62e41f16d6bdd79deeef2a0 | [
"MIT"
] | 1 | 2018-05-01T11:54:33.000Z | 2018-05-01T11:54:33.000Z | utils/videoJob.py | dbpeng/aws-lambda-python-example-zencoder | 3c3e2d2ea88be824a62e41f16d6bdd79deeef2a0 | [
"MIT"
] | 1 | 2021-06-01T22:18:53.000Z | 2021-06-01T22:18:53.000Z | utils/videoJob.py | dbpeng/aws-lambda-python-example-zencoder | 3c3e2d2ea88be824a62e41f16d6bdd79deeef2a0 | [
"MIT"
] | null | null | null | import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from datetime import datetime
import json
from base import Session, engine, Base
from enum import... | 25.406015 | 76 | 0.629772 |
9a9af8b29d8ddd5b44627798d65817d8e0c206e0 | 3,411 | py | Python | alipay/aop/api/domain/MybankCreditSceneprodCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/MybankCreditSceneprodCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/MybankCreditSceneprodCommonQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
| 29.405172 | 79 | 0.588977 |
9a9d13bd5f6b65068699065c4f4e5d2b6027979d | 32,570 | py | Python | train_end2end.py | lyn1874/daml | edd89c3baf018cdb407208d137364fcefd913896 | [
"MIT"
] | null | null | null | train_end2end.py | lyn1874/daml | edd89c3baf018cdb407208d137364fcefd913896 | [
"MIT"
] | null | null | null | train_end2end.py | lyn1874/daml | edd89c3baf018cdb407208d137364fcefd913896 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 13 18:23:08 2019
This scrip is for training the experiement end2end
@author: li
"""
import tensorflow as tf
import models.AE as AE
import optimization.loss_tf as loss_tf
from data import read_frame_temporal as rft
import numpy as np
import os
import ... | 49.725191 | 142 | 0.576727 |
9a9d1d892502aafdc91f1a1eaee4fb13e479814b | 10,781 | py | Python | cellfinder_napari/detect.py | neuromusic/cellfinder-napari | 9a58a3b2174c5cb4c740ace6373744b5bcc4cc3d | [
"BSD-3-Clause"
] | 7 | 2021-03-03T11:58:24.000Z | 2021-12-24T08:40:12.000Z | cellfinder_napari/detect.py | neuromusic/cellfinder-napari | 9a58a3b2174c5cb4c740ace6373744b5bcc4cc3d | [
"BSD-3-Clause"
] | 87 | 2021-03-08T18:58:26.000Z | 2022-03-30T15:37:08.000Z | cellfinder_napari/detect.py | neuromusic/cellfinder-napari | 9a58a3b2174c5cb4c740ace6373744b5bcc4cc3d | [
"BSD-3-Clause"
] | 5 | 2021-05-26T19:23:50.000Z | 2022-03-06T13:03:13.000Z | import napari
from pathlib import Path
from magicgui import magicgui
from typing import List
from cellfinder_napari.utils import brainglobe_logo
# TODO:
# how to store & fetch pre-trained models?
# TODO: params to add
NETWORK_VOXEL_SIZES = [5, 1, 1]
CUBE_WIDTH = 50
CUBE_HEIGHT = 20
CUBE_DEPTH = 20
# If using ROI, h... | 32.969419 | 119 | 0.576384 |
9a9de9279be39ea51b643d07bcacfa3cc557f3f2 | 1,414 | py | Python | setup.py | paxtonfitzpatrick/nltools | 9d52e2e1d665a21feb641ab16424e450aca0c971 | [
"MIT"
] | 65 | 2018-08-26T19:39:11.000Z | 2022-02-20T10:32:58.000Z | setup.py | paxtonfitzpatrick/nltools | 9d52e2e1d665a21feb641ab16424e450aca0c971 | [
"MIT"
] | 138 | 2018-08-15T22:31:45.000Z | 2022-02-14T18:23:46.000Z | setup.py | paxtonfitzpatrick/nltools | 9d52e2e1d665a21feb641ab16424e450aca0c971 | [
"MIT"
] | 18 | 2018-08-23T16:52:35.000Z | 2022-02-24T01:52:27.000Z | from setuptools import setup, find_packages
version = {}
with open("nltools/version.py") as f:
exec(f.read(), version)
with open("requirements.txt") as f:
requirements = f.read().splitlines()
extra_setuptools_args = dict(tests_require=["pytest"])
setup(
name="nltools",
version=version["__version__"]... | 35.35 | 79 | 0.681047 |
9a9e35c047e006353fb6423b17d95459f785de56 | 4,028 | py | Python | {{ cookiecutter.repo_name }}/src/config/config.py | johanngerberding/cookiecutter-data-science | db44c48cdce4886d42b610c04e758d758f834e32 | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/src/config/config.py | johanngerberding/cookiecutter-data-science | db44c48cdce4886d42b610c04e758d758f834e32 | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/src/config/config.py | johanngerberding/cookiecutter-data-science | db44c48cdce4886d42b610c04e758d758f834e32 | [
"MIT"
] | null | null | null | import os
import warnings
from dotenv import find_dotenv, load_dotenv
from yacs.config import CfgNode as ConfigurationNode
from pathlib import Path
# Please configure your own settings here #
# YACS overwrite these settings using YAML
__C = ConfigurationNode()
### EXAMPLE ###
"""
# data augmentation parameters with... | 30.984615 | 115 | 0.712512 |
9a9e673814218a6b691d7522f64cfb8d20627d8f | 475 | py | Python | section_7/ex 30.py | thiagofreitascarneiro/Python-avancado-Geek-University | 861b742ad6b30955fcbe63274b8cf8afc6ca028f | [
"MIT"
] | null | null | null | section_7/ex 30.py | thiagofreitascarneiro/Python-avancado-Geek-University | 861b742ad6b30955fcbe63274b8cf8afc6ca028f | [
"MIT"
] | null | null | null | section_7/ex 30.py | thiagofreitascarneiro/Python-avancado-Geek-University | 861b742ad6b30955fcbe63274b8cf8afc6ca028f | [
"MIT"
] | null | null | null | list1 = []
list2 = []
list3 = []
cont = 0
while cont < 10:
valor = int(input('Digite um numero na lista 1: '))
list1.append(valor)
valor2 = int(input('Digite um numero na lista 2: '))
list2.append(valor2)
cont = cont + 1
if cont == 10:
for i in list1:
if i in list2:
... | 23.75 | 65 | 0.562105 |
9a9ee79fbb5396d6313eb8172811069d5e290bd2 | 7,693 | py | Python | scripts/eval/eval.py | p0l0satik/PlaneDetector | 60d7330537b90ff0ca74247cd6dac2ca7fc627bc | [
"MIT"
] | null | null | null | scripts/eval/eval.py | p0l0satik/PlaneDetector | 60d7330537b90ff0ca74247cd6dac2ca7fc627bc | [
"MIT"
] | null | null | null | scripts/eval/eval.py | p0l0satik/PlaneDetector | 60d7330537b90ff0ca74247cd6dac2ca7fc627bc | [
"MIT"
] | null | null | null | import os
from shutil import rmtree
import cv2
import docker
import numpy as np
import open3d as o3d
from pypcd import pypcd
from src.metrics import metrics
from src.metrics.metrics import multi_value, mean
from src.parser import loaders, create_parser
UNSEGMENTED_COLOR = np.asarray([0, 0, 0], dtype=int)
algos = {
... | 38.273632 | 118 | 0.66203 |
9a9f85fc451de9881426ccefc8e13f03669bb8d6 | 491 | py | Python | cosmogrb/utils/fits_file.py | wematthias/cosmogrb | 09852eb4e6e7315bbede507e19a2d57f1b927c3f | [
"BSD-2-Clause"
] | 3 | 2020-03-08T18:20:32.000Z | 2022-03-10T17:27:26.000Z | cosmogrb/utils/fits_file.py | wematthias/cosmogrb | 09852eb4e6e7315bbede507e19a2d57f1b927c3f | [
"BSD-2-Clause"
] | 11 | 2020-03-04T17:21:15.000Z | 2020-06-09T12:20:00.000Z | cosmogrb/utils/fits_file.py | wematthias/cosmogrb | 09852eb4e6e7315bbede507e19a2d57f1b927c3f | [
"BSD-2-Clause"
] | 5 | 2020-03-18T18:05:05.000Z | 2022-03-21T16:06:38.000Z | from responsum.utils.fits_file import FITSFile, FITSExtension as FE
import pkg_resources
| 32.733333 | 106 | 0.757637 |
9a9fb2cd7765697e57d5b413e5af8232b235432f | 121,557 | py | Python | mi/instrument/seabird/sbe26plus/driver.py | rhan1498/marine-integrations | ad94c865e0e4cc7c8fd337870410c74b57d5c826 | [
"BSD-2-Clause"
] | null | null | null | mi/instrument/seabird/sbe26plus/driver.py | rhan1498/marine-integrations | ad94c865e0e4cc7c8fd337870410c74b57d5c826 | [
"BSD-2-Clause"
] | null | null | null | mi/instrument/seabird/sbe26plus/driver.py | rhan1498/marine-integrations | ad94c865e0e4cc7c8fd337870410c74b57d5c826 | [
"BSD-2-Clause"
] | null | null | null | """
@package mi.instrument.seabird.sbe26plus.ooicore.driver
@file /Users/unwin/OOI/Workspace/code/marine-integrations/mi/instrument/seabird/sbe26plus/ooicore/driver.py
@author Roger Unwin
@brief Driver for the ooicore
Release notes:
None.
"""
__author__ = 'Roger Unwin'
__license__ = 'Apache 2.0'
import re
import tim... | 45.054485 | 167 | 0.613276 |
9a9fc338c15aa55b529d0d570899ecd61a1b41cd | 514 | py | Python | Strings/count-index-find.py | tverma332/python3 | 544c4ec9c726c37293c8da5799f50575cc50852d | [
"MIT"
] | 3 | 2022-03-28T09:10:08.000Z | 2022-03-29T10:47:56.000Z | Strings/count-index-find.py | tverma332/python3 | 544c4ec9c726c37293c8da5799f50575cc50852d | [
"MIT"
] | 1 | 2022-03-27T11:52:58.000Z | 2022-03-27T11:52:58.000Z | Strings/count-index-find.py | tverma332/python3 | 544c4ec9c726c37293c8da5799f50575cc50852d | [
"MIT"
] | null | null | null | # 1) count = To count how many time a particular word & char. is appearing
x = "Keep grinding keep hustling"
print(x.count("t"))
# 2) index = To get index of letter(gives the lowest index)
x="Keep grinding keep hustling"
print(x.index("t")) # will give the lowest index value of (t)
# 3) find = To get index of lett... | 25.7 | 82 | 0.684825 |