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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0c91e1c1cf29e15371a4ee6e5142850adc128722 | 1,657 | py | Python | utilities/visualisation/log_file_plotter.py | bootml/agent | 84235db931d6e4ef956962961c619994898ebdd5 | [
"Apache-2.0"
] | null | null | null | utilities/visualisation/log_file_plotter.py | bootml/agent | 84235db931d6e4ef956962961c619994898ebdd5 | [
"Apache-2.0"
] | null | null | null | utilities/visualisation/log_file_plotter.py | bootml/agent | 84235db931d6e4ef956962961c619994898ebdd5 | [
"Apache-2.0"
] | 1 | 2018-09-27T14:31:41.000Z | 2018-09-27T14:31:41.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'cnheider'
import csv
import matplotlib.pyplot as plt
import utilities as U
# print(plt.style.available)
plot_style = 'fivethirtyeight'
# plot_style='bmh'
# plot_style='ggplot'
plt.style.use('seaborn-poster')
plt.style.use(plot_style)
plt.rcParams['axes.e... | 25.106061 | 101 | 0.703681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 0.461678 |
0c91f8beba1444262adffec26a3344ef48edb987 | 435 | py | Python | ex3.py | SuPoPoo/python-exercise | 601b87c38c0090406cf532d2f9676b18650a0e0f | [
"MIT"
] | null | null | null | ex3.py | SuPoPoo/python-exercise | 601b87c38c0090406cf532d2f9676b18650a0e0f | [
"MIT"
] | null | null | null | ex3.py | SuPoPoo/python-exercise | 601b87c38c0090406cf532d2f9676b18650a0e0f | [
"MIT"
] | null | null | null | print("I will now count my chickens:")
print ("Hens",25+30/6)
print ("Roosters",100-25*3%4)
print("How I will count the eggs:")
print(3+2+1-5+4%2-1/4+6)
print("Is it true that 3+2<5-7?")
print(3+2<5-7)
print("What is 3+2?", 3+2)
print("What is 5-7?", 5-7)
print("Oh,that's why it's false")
print("How about some... | 16.730769 | 38 | 0.62069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.551724 |
0c92ac74a41c6d27584a5d7d7e530d1077058597 | 2,385 | py | Python | datasets/few_shot_test_pickle.py | PengWan-Yang/few-shot-transformer | c055239061744124c72960420cd4037495952b6d | [
"Apache-2.0"
] | 4 | 2022-02-06T19:51:19.000Z | 2022-03-15T21:19:23.000Z | datasets/few_shot_test_pickle.py | PengWan-Yang/few-shot-transformer | c055239061744124c72960420cd4037495952b6d | [
"Apache-2.0"
] | 1 | 2022-02-06T20:00:15.000Z | 2022-02-06T20:00:15.000Z | datasets/few_shot_test_pickle.py | PengWan-Yang/few-shot-transformer | c055239061744124c72960420cd4037495952b6d | [
"Apache-2.0"
] | null | null | null |
import pickle
# modify validation data
_few_shot_pickle_file = 'few_shot_test_data.pkl'
_few_shot_file = open(_few_shot_pickle_file, 'rb')
data_few_shot = pickle.load(_few_shot_file)
_few_shot_pickle_file = 'few_shot_val_data.pkl'
_few_shot_file = open(_few_shot_pickle_file, 'rb')
data_val = pickle.load(_few_shot_... | 37.857143 | 98 | 0.65283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 771 | 0.32327 |
0c93992159c77c279e8541bafd3b789955b4b418 | 473 | py | Python | 3/node.py | Pavel3P/Machine-Learning | 441da7de69ebf6cef9ebe54a0b3992918faf1d40 | [
"MIT"
] | null | null | null | 3/node.py | Pavel3P/Machine-Learning | 441da7de69ebf6cef9ebe54a0b3992918faf1d40 | [
"MIT"
] | null | null | null | 3/node.py | Pavel3P/Machine-Learning | 441da7de69ebf6cef9ebe54a0b3992918faf1d40 | [
"MIT"
] | null | null | null | import numpy as np
class Node:
def __init__(self,
gini: float,
num_samples_per_class: np.ndarray,
) -> None:
self.gini: float = gini
self.num_samples_per_class: np.ndarray = num_samples_per_class
self.predicted_class: int = np.argmax(num_s... | 26.277778 | 70 | 0.587738 | 451 | 0.953488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c960c32123fe98899d1aea36a071118d99135d2 | 5,654 | py | Python | nemo/collections/nlp/utils/evaluation_utils.py | ParikhKadam/NeMo | ee11f7c4666d410d91f9da33c61f4819ea625013 | [
"Apache-2.0"
] | 1 | 2020-08-04T08:29:41.000Z | 2020-08-04T08:29:41.000Z | nemo/collections/nlp/utils/evaluation_utils.py | ParikhKadam/NeMo | ee11f7c4666d410d91f9da33c61f4819ea625013 | [
"Apache-2.0"
] | 1 | 2020-06-11T00:54:42.000Z | 2020-06-11T00:54:42.000Z | nemo/collections/nlp/utils/evaluation_utils.py | ParikhKadam/NeMo | ee11f7c4666d410d91f9da33c61f4819ea625013 | [
"Apache-2.0"
] | 3 | 2020-03-10T05:10:07.000Z | 2020-12-08T01:33:35.000Z | # =============================================================================
# Copyright 2020 NVIDIA. All Rights Reserved.
#
# 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://ww... | 37.197368 | 115 | 0.598161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,603 | 0.460382 |
0c9646550e91efca615eedc91a6895d4f88c0e06 | 276 | py | Python | fdk_client/common/date_helper.py | kavish-d/fdk-client-python | a1023eb530473322cb52e095fc4ceb226c1e6037 | [
"MIT"
] | null | null | null | fdk_client/common/date_helper.py | kavish-d/fdk-client-python | a1023eb530473322cb52e095fc4ceb226c1e6037 | [
"MIT"
] | null | null | null | fdk_client/common/date_helper.py | kavish-d/fdk-client-python | a1023eb530473322cb52e095fc4ceb226c1e6037 | [
"MIT"
] | null | null | null | from datetime import datetime
import pytz
from .constants import TIMEZONE
timezone = pytz.timezone(TIMEZONE)
def get_ist_now():
"""Returns Indian Standard Time datetime object.
Returns:
object -- Datetime object
"""
return datetime.now(timezone)
| 16.235294 | 52 | 0.710145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.376812 |
0c966317072167bda3878121dfa458b395fd1b61 | 1,357 | py | Python | recipes/LibriParty/generate_dataset/get_dataset_from_metadata.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 3,913 | 2021-03-14T13:54:52.000Z | 2022-03-30T05:09:55.000Z | recipes/LibriParty/generate_dataset/get_dataset_from_metadata.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 667 | 2021-03-14T20:11:17.000Z | 2022-03-31T04:07:17.000Z | recipes/LibriParty/generate_dataset/get_dataset_from_metadata.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 785 | 2021-03-14T13:20:57.000Z | 2022-03-31T03:26:03.000Z | """
LibriParty Dataset creation by using official metadata.
Author
------
Samuele Cornell, 2020
Mirco Ravanelli, 2020
"""
import os
import sys
import speechbrain as sb
from hyperpyyaml import load_hyperpyyaml
from speechbrain.utils.data_utils import download_file
from local.create_mixtures_from_metadata import create... | 28.270833 | 77 | 0.745763 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 0.276345 |
0c9682abb64f3ba26f9ba369881899db7f3b759b | 3,440 | py | Python | tests/test_py4gh.py | iCAN-PCM/py4gh | 192e62d531b5fd8c4c9a04a83c98bd63795578b8 | [
"Apache-2.0"
] | null | null | null | tests/test_py4gh.py | iCAN-PCM/py4gh | 192e62d531b5fd8c4c9a04a83c98bd63795578b8 | [
"Apache-2.0"
] | null | null | null | tests/test_py4gh.py | iCAN-PCM/py4gh | 192e62d531b5fd8c4c9a04a83c98bd63795578b8 | [
"Apache-2.0"
] | null | null | null | import subprocess
from pathlib import Path
import pytest
# from py4gh import __version__
from py4gh.utility import decrypt_files, encrypt_files, get_files
# def test_version():
# assert __version__ == "0.1.0"
@pytest.fixture(scope="session")
def keys(tmpdir_factory):
test_pub1 = tmpdir_factory.mktemp("data... | 31.559633 | 79 | 0.636047 | 0 | 0 | 0 | 0 | 1,051 | 0.305523 | 0 | 0 | 848 | 0.246512 |
0c96e86ca1a15c8434d2cbc7e56c0f749d433cc7 | 2,885 | py | Python | test/sca/test_rpa.py | scrambler-crypto/pyecsca | 491abfb548455669abd470382a48dcd07b2eda87 | [
"MIT"
] | null | null | null | test/sca/test_rpa.py | scrambler-crypto/pyecsca | 491abfb548455669abd470382a48dcd07b2eda87 | [
"MIT"
] | null | null | null | test/sca/test_rpa.py | scrambler-crypto/pyecsca | 491abfb548455669abd470382a48dcd07b2eda87 | [
"MIT"
] | null | null | null | from unittest import TestCase
from parameterized import parameterized
from pyecsca.ec.context import local
from pyecsca.ec.mult import LTRMultiplier, BinaryNAFMultiplier, WindowNAFMultiplier, LadderMultiplier, \
DifferentialLadderMultiplier
from pyecsca.ec.params import get_params
from pyecsca.sca.re.rpa import M... | 41.214286 | 110 | 0.664471 | 2,547 | 0.882842 | 0 | 0 | 593 | 0.205546 | 0 | 0 | 209 | 0.072444 |
0c97356ee6bbe49ca37564ac2a4ced12f750d008 | 624 | py | Python | sorting-and-searching/selection-sort.py | rayruicai/coding-interview | 4de5de63fe09eae488bdbde372aa1c0cb4defa85 | [
"MIT"
] | null | null | null | sorting-and-searching/selection-sort.py | rayruicai/coding-interview | 4de5de63fe09eae488bdbde372aa1c0cb4defa85 | [
"MIT"
] | null | null | null | sorting-and-searching/selection-sort.py | rayruicai/coding-interview | 4de5de63fe09eae488bdbde372aa1c0cb4defa85 | [
"MIT"
] | null | null | null | import unittest
# time complexity O(n**2)
# space complexity O(1)
def selection_sort(arr):
n = len(arr)
while n >= 2:
value_max = arr[0]
index_max = 0
for i in range(1, n):
if arr[i] > value_max:
value_max = arr[i]
index_max = i
arr[... | 22.285714 | 71 | 0.543269 | 175 | 0.280449 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.092949 |
0c97d3a32db9b335bffe637b1d619f3774455b40 | 2,930 | py | Python | createExeWindows.py | intel/RAAD | 9cca9e72ff61658191e30756bb260173d5600102 | [
"Intel",
"Apache-2.0"
] | null | null | null | createExeWindows.py | intel/RAAD | 9cca9e72ff61658191e30756bb260173d5600102 | [
"Intel",
"Apache-2.0"
] | null | null | null | createExeWindows.py | intel/RAAD | 9cca9e72ff61658191e30756bb260173d5600102 | [
"Intel",
"Apache-2.0"
] | null | null | null | # !/usr/bin/python3
# -*- coding: utf-8 -*-
# *****************************************************************************/
# * Authors: Daniel Garces, Joseph Tarango
# *****************************************************************************/
import os, datetime, traceback, optparse, shutil
import PyInstall... | 39.594595 | 121 | 0.509556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 0.44198 |
0c983c89d954e199eb26dc9eb1e9dfde6cd61d8c | 1,395 | py | Python | day10/django/app4/dateview/updateTeachPlan.py | Vanessa-kriby/Python | 1fbef67852fb362712fc48fa5c3c29eac68fe202 | [
"Apache-2.0"
] | null | null | null | day10/django/app4/dateview/updateTeachPlan.py | Vanessa-kriby/Python | 1fbef67852fb362712fc48fa5c3c29eac68fe202 | [
"Apache-2.0"
] | null | null | null | day10/django/app4/dateview/updateTeachPlan.py | Vanessa-kriby/Python | 1fbef67852fb362712fc48fa5c3c29eac68fe202 | [
"Apache-2.0"
] | null | null | null | from app1.models import *
from app1.util.utils import *
def updateTeachPlan(request):
'''
get:
http://127.0.0.1:8000/app4/updateTeachPlan?tpno=001&credit=7.0&teach_date=2019-08-22&evaluation_method=考查
调用参数:
tpno:计划编号
credit:学分
teach_date:开课日期
... | 35.769231 | 195 | 0.593548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 717 | 0.499652 |
0c98a8571671f7ec771a67037041f3b8e9ba1d24 | 274 | py | Python | tests/test_tradera.py | paeronskruven/lw | a2e4b6363656812a0857a8b2cf69be3e710afe94 | [
"MIT"
] | null | null | null | tests/test_tradera.py | paeronskruven/lw | a2e4b6363656812a0857a8b2cf69be3e710afe94 | [
"MIT"
] | null | null | null | tests/test_tradera.py | paeronskruven/lw | a2e4b6363656812a0857a8b2cf69be3e710afe94 | [
"MIT"
] | null | null | null | import lw.sources.tradera
def test_valid_query():
results = lw.sources.tradera.TraderaSource().query('a')
assert len(list(results)) > 0
def test_invalid_query():
results = lw.sources.tradera.TraderaSource().query('abc123')
assert len(list(results)) == 0
| 22.833333 | 64 | 0.70438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.040146 |
0c98bb4fe620a4715169adb783364dc34a8d9e45 | 3,973 | py | Python | app/app/process_data.py | yongjjang/book-rental-service | 53133c88fed6e8d5d9b1374e951f5aa83598e547 | [
"MIT"
] | null | null | null | app/app/process_data.py | yongjjang/book-rental-service | 53133c88fed6e8d5d9b1374e951f5aa83598e547 | [
"MIT"
] | null | null | null | app/app/process_data.py | yongjjang/book-rental-service | 53133c88fed6e8d5d9b1374e951f5aa83598e547 | [
"MIT"
] | null | null | null | from .database import db_session, init_db
from .models import User, Book, BookRental
from sqlalchemy import func
import datetime
import logging
init_db()
def get_tables(db_table):
"""
@author : TAEYONG LEE
:param db_table: database table in model.py
:type db_table: database model Object
... | 24.524691 | 127 | 0.597533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,089 | 0.52369 |
0c998b3ac75eae9f76dce560875ced69e8123b01 | 6,511 | py | Python | cmdb_v0.1/apps/detail/models.py | codemaker-man/projects | 334aac28b72a7b466fba23df4db11e95df13a3ec | [
"MIT"
] | 1 | 2018-12-05T05:29:46.000Z | 2018-12-05T05:29:46.000Z | cmdb_v0.1/apps/detail/models.py | codemaker-man/projects | 334aac28b72a7b466fba23df4db11e95df13a3ec | [
"MIT"
] | null | null | null | cmdb_v0.1/apps/detail/models.py | codemaker-man/projects | 334aac28b72a7b466fba23df4db11e95df13a3ec | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
from django.db import models
import django.utils.timezone as timezone
# 用户登录信息表(服务器、虚拟机)
class ConnectionInfo(models.Model):
# 用户连接相关信息
ssh_username = models.CharField(max_length=10, default='', verbose_name=u'ssh用户名', null=True)
ssh_userpasswd = models.CharField(max_length=40, defa... | 42.835526 | 109 | 0.714176 | 7,314 | 0.961483 | 0 | 0 | 0 | 0 | 0 | 0 | 2,626 | 0.345208 |
0c9a4fc23573fcb066eaa1cdddfd05b22ff7fab8 | 10,370 | py | Python | tests/__init__.py | pywikibot-catfiles/file-metadata | 79c585dcb67b966f02485136c4d875d5b5365230 | [
"MIT"
] | 10 | 2016-07-15T07:07:53.000Z | 2022-02-17T07:41:03.000Z | tests/__init__.py | AbdealiJK/file-metadata | 79c585dcb67b966f02485136c4d875d5b5365230 | [
"MIT"
] | 48 | 2016-03-14T06:44:36.000Z | 2016-07-13T00:35:54.000Z | tests/__init__.py | pywikibot-catfiles/file-metadata | 79c585dcb67b966f02485136c4d875d5b5365230 | [
"MIT"
] | 5 | 2017-04-24T07:02:22.000Z | 2020-12-14T06:23:57.000Z | # -*- coding: utf-8 -*-
from __future__ import (division, absolute_import, unicode_literals,
print_function)
# flake8: noqa (unused import and line too long due to links)
import os
import random
import string
import struct
import wave
try:
import unittest
except ImportError:
import u... | 56.666667 | 250 | 0.73433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,837 | 0.755738 |
0c9ae2b51288ca98ffcd2520e0ff6c3e32a621f6 | 5,707 | py | Python | src/api/dataflow/batch/periodic/backend/validator/processings_validator.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 84 | 2021-06-30T06:20:23.000Z | 2022-03-22T03:05:49.000Z | src/api/dataflow/batch/periodic/backend/validator/processings_validator.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 7 | 2021-06-30T06:21:16.000Z | 2022-03-29T07:36:13.000Z | src/api/dataflow/batch/periodic/backend/validator/processings_validator.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 40 | 2021-06-30T06:21:26.000Z | 2022-03-29T12:42:26.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
------------------------------------------... | 51.414414 | 111 | 0.715437 | 4,085 | 0.701047 | 0 | 0 | 0 | 0 | 0 | 0 | 2,366 | 0.406041 |
0c9ae725d3c7ffae05b2711dd0cf627833bcd823 | 5,855 | py | Python | tests/test_build_endpoint.py | lsst-sqre/ltd-dasher | 176e125839b380f005a092189db760b716e8e23d | [
"MIT"
] | null | null | null | tests/test_build_endpoint.py | lsst-sqre/ltd-dasher | 176e125839b380f005a092189db760b716e8e23d | [
"MIT"
] | 9 | 2017-01-24T20:28:49.000Z | 2021-10-04T15:36:17.000Z | tests/test_build_endpoint.py | lsst-sqre/ltd-dasher | 176e125839b380f005a092189db760b716e8e23d | [
"MIT"
] | null | null | null | """Test app.routes.build."""
import responses
mock_product_data = {
"bucket_name": "lsst-the-docs",
"doc_repo": "https://github.com/lsst-sqre/test-059.git",
"domain": "test-059.lsst.io",
"fastly_domain": "n.global-ssl.fastly.net",
"published_url": "https://test-059.lsst.io",
"root_domain": "l... | 28.985149 | 76 | 0.625107 | 0 | 0 | 0 | 0 | 2,531 | 0.43228 | 0 | 0 | 3,270 | 0.558497 |
0c9b0609ebab7f0a04accd501a146384f501a809 | 2,650 | py | Python | HW2/heart.py | MohammadJRanjbar/Data-Mining | 66492166df12924a754273cdaad169d84968f2e1 | [
"MIT"
] | null | null | null | HW2/heart.py | MohammadJRanjbar/Data-Mining | 66492166df12924a754273cdaad169d84968f2e1 | [
"MIT"
] | null | null | null | HW2/heart.py | MohammadJRanjbar/Data-Mining | 66492166df12924a754273cdaad169d84968f2e1 | [
"MIT"
] | null | null | null | from sklearn import tree
from matplotlib import pyplot as plt
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split
from sklearn import model_selection
from sklearn import metrics
import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.neighbors impor... | 29.444444 | 116 | 0.755849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,180 | 0.445283 |
0c9b51976e219b5f5ddeb4bf2182d69d5aa73bdd | 1,202 | py | Python | backend/api/migrations/0002_auto_20210517_0943.py | luxu/django-vue-luxu | a4da215697df578074e354d43dd1d9995490d0db | [
"MIT"
] | null | null | null | backend/api/migrations/0002_auto_20210517_0943.py | luxu/django-vue-luxu | a4da215697df578074e354d43dd1d9995490d0db | [
"MIT"
] | null | null | null | backend/api/migrations/0002_auto_20210517_0943.py | luxu/django-vue-luxu | a4da215697df578074e354d43dd1d9995490d0db | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2021-05-17 12:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Pavilhao',
fiel... | 33.388889 | 117 | 0.578203 | 1,078 | 0.896839 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.140599 |
0c9b6c9c5f4b186068f0fcfe5f2c329ce7772e4d | 740 | py | Python | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | 73 | 2016-09-15T23:07:04.000Z | 2022-03-05T15:09:48.000Z | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | null | null | null | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | 51 | 2016-10-07T20:47:51.000Z | 2021-12-22T21:00:24.000Z | __author__ = 'Chetan'
from abc import ABCMeta, abstractmethod
class AbstractClass(metaclass=ABCMeta):
def __init__(self):
pass
@abstractmethod
def operation1(self):
pass
@abstractmethod
def operation2(self):
pass
def template_method(self):
print("Defining the... | 19.473684 | 70 | 0.660811 | 637 | 0.860811 | 0 | 0 | 108 | 0.145946 | 0 | 0 | 113 | 0.152703 |
0ca19eadb115712fb3c48ed0a589480fef063fda | 27,687 | py | Python | tests/test_home.py | jeroenterheerdt/nexia | 93ff554913e1dad6389b54179eca7c4ec1f29371 | [
"Apache-2.0"
] | null | null | null | tests/test_home.py | jeroenterheerdt/nexia | 93ff554913e1dad6389b54179eca7c4ec1f29371 | [
"Apache-2.0"
] | null | null | null | tests/test_home.py | jeroenterheerdt/nexia | 93ff554913e1dad6389b54179eca7c4ec1f29371 | [
"Apache-2.0"
] | null | null | null | """Tests for Nexia Home."""
import json
import os
from os.path import dirname
import unittest
import pytest
from nexia.home import NexiaHome
def load_fixture(filename):
"""Load a fixture."""
test_dir = dirname(__file__)
path = os.path.join(test_dir, "fixtures", filename)
with open(path) as fptr:
... | 44.946429 | 86 | 0.674757 | 27,330 | 0.987106 | 0 | 0 | 1,932 | 0.06978 | 0 | 0 | 3,308 | 0.119478 |
0ca1f24778ecd88cae66d775c3768ee93dee6382 | 6,217 | py | Python | FarmSwapG.py | resake/DuelsFarm | b6a0da11af4866d4ea6caa30be1436c256a55af4 | [
"MIT"
] | null | null | null | FarmSwapG.py | resake/DuelsFarm | b6a0da11af4866d4ea6caa30be1436c256a55af4 | [
"MIT"
] | null | null | null | FarmSwapG.py | resake/DuelsFarm | b6a0da11af4866d4ea6caa30be1436c256a55af4 | [
"MIT"
] | null | null | null | import re
import time
import aiohttp
CHANGE_CLOTHES = True
# Use swap gear
ACCOUNT_ID = 'b8dd6d09-0bf1-4455-99c5-4cec41b3a789'
# account id goes here
class DuelsAPI:
def __init__(self, account_id, **kwargs):
self.account_id = account_id
self.API_ENTRY = kwargs.get('api_entry_url',
... | 37.678788 | 79 | 0.551391 | 3,407 | 0.548014 | 0 | 0 | 77 | 0.012385 | 5,444 | 0.875664 | 1,254 | 0.201705 |
0ca263d5ceb8c0df9da68a027a9e2c49d50656ac | 268 | py | Python | data/landice-5g/tiff_to_shp.py | scottsfarley93/IceSheetsViz | f4af84f16af875c5753dca6b8c173c253d9218d4 | [
"MIT"
] | null | null | null | data/landice-5g/tiff_to_shp.py | scottsfarley93/IceSheetsViz | f4af84f16af875c5753dca6b8c173c253d9218d4 | [
"MIT"
] | 1 | 2017-02-28T18:49:04.000Z | 2017-02-28T18:49:55.000Z | data/landice-5g/tiff_to_shp.py | scottsfarley93/IceSheetsViz | f4af84f16af875c5753dca6b8c173c253d9218d4 | [
"MIT"
] | null | null | null | import os
for filename in os.listdir("rasters"):
print filename
f = filename.replace(".tiff", "")
tiff = "rasters/" + filename
out = "shapefiles/" + f + ".shp"
cmd = "gdal_polygonize.py " + tiff + " -f 'ESRI Shapefile' " + out
os.system(cmd)
| 24.363636 | 70 | 0.589552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.339552 |
0ca33e888a8c5506799931e71fe1070bf6588145 | 3,758 | py | Python | we_sensesim.py | y95847frank/GenSense | 0da122bea9b7bd51444748444700b5f788bd8a48 | [
"MIT"
] | 3 | 2018-05-31T05:52:18.000Z | 2019-12-20T07:15:56.000Z | we_sensesim.py | y95847frank/GenSense | 0da122bea9b7bd51444748444700b5f788bd8a48 | [
"MIT"
] | null | null | null | we_sensesim.py | y95847frank/GenSense | 0da122bea9b7bd51444748444700b5f788bd8a48 | [
"MIT"
] | null | null | null | import numpy as np
import sys
import utils
import os
from collections import defaultdict
from nltk.corpus import wordnet as wn
from scipy.spatial.distance import cosine
from scipy.spatial.distance import correlation
from numpy.linalg import norm
from scipy.stats import spearmanr, pearsonr
from utils import trim
import... | 33.256637 | 140 | 0.549228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,256 | 0.33422 |
0ca3cc7e85961f379dcec8f7f5d9db60fd5df51d | 138,423 | py | Python | dlkit/abstract_osid/calendaring/queries.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 2 | 2018-02-23T12:16:11.000Z | 2020-10-08T17:54:24.000Z | dlkit/abstract_osid/calendaring/queries.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 87 | 2017-04-21T18:57:15.000Z | 2021-12-13T19:43:57.000Z | dlkit/abstract_osid/calendaring/queries.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 1 | 2018-03-01T16:44:25.000Z | 2018-03-01T16:44:25.000Z | """Implementations of calendaring abstract base class queries."""
# pylint: disable=invalid-name
# Method names comply with OSID specification.
# pylint: disable=no-init
# Abstract classes do not define __init__.
# pylint: disable=too-few-public-methods
# Some interfaces are specified as 'markers' and inclu... | 28.934574 | 120 | 0.632409 | 137,690 | 0.994705 | 0 | 0 | 123,595 | 0.892879 | 0 | 0 | 97,690 | 0.705735 |
0ca4dce21686a03b945a69ccbec119c4e788576f | 2,373 | py | Python | scripts/republish_s3_products.py | hysds/grq2 | c86704a4e46f106ab00dcdfc9a658a97097e9289 | [
"Apache-2.0"
] | 1 | 2019-10-18T21:27:56.000Z | 2019-10-18T21:27:56.000Z | scripts/republish_s3_products.py | hysds/grq2 | c86704a4e46f106ab00dcdfc9a658a97097e9289 | [
"Apache-2.0"
] | 5 | 2019-10-17T15:46:23.000Z | 2021-06-04T22:18:36.000Z | scripts/republish_s3_products.py | hysds/grq2 | c86704a4e46f106ab00dcdfc9a658a97097e9289 | [
"Apache-2.0"
] | 3 | 2018-04-08T12:53:24.000Z | 2020-05-05T01:10:32.000Z | #!/usr/bin/env python
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
import json
import requests
import sys
import os
from boto.s3.connection impor... | 30.423077 | 136 | 0.629583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 840 | 0.353982 |
0ca59997a346eb090f3898738011c007aac380e0 | 5,550 | py | Python | tensorflow/emo_tflearn.py | lukewegryn/emo_net | 5f8f0d047b41a978c2c96e6d0dcd8e8c05d89fe5 | [
"MIT"
] | 4 | 2017-08-15T06:52:22.000Z | 2020-02-13T18:18:13.000Z | tensorflow/emo_tflearn.py | luoda888/emo_net | 5f8f0d047b41a978c2c96e6d0dcd8e8c05d89fe5 | [
"MIT"
] | 1 | 2018-06-14T08:42:11.000Z | 2018-06-14T08:42:11.000Z | tensorflow/emo_tflearn.py | luoda888/emo_net | 5f8f0d047b41a978c2c96e6d0dcd8e8c05d89fe5 | [
"MIT"
] | 6 | 2017-08-04T13:40:35.000Z | 2021-08-07T11:37:44.000Z | # First check the Python version
import sys
if sys.version_info < (3,4):
print('You are running an older version of Python!\n\n' \
'You should consider updating to Python 3.4.0 or ' \
'higher as the libraries built for this course ' \
'have only been tested in Python 3.4 and higher.\n'... | 37.248322 | 170 | 0.718739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,041 | 0.367748 |
0ca67ab44bcdd00d832c2b6369f179cd48b4cfb9 | 1,786 | py | Python | strivial/__init__.py | watsosc/strivial | aa7efe889227650d8f39b247fd0208deb71d246b | [
"Apache-2.0"
] | null | null | null | strivial/__init__.py | watsosc/strivial | aa7efe889227650d8f39b247fd0208deb71d246b | [
"Apache-2.0"
] | null | null | null | strivial/__init__.py | watsosc/strivial | aa7efe889227650d8f39b247fd0208deb71d246b | [
"Apache-2.0"
] | null | null | null | import os
import logging
from logging import Formatter, FileHandler
from flask import Flask
def create_app(test_config=False):
app = Flask(__name__, instance_relative_config=True)
if test_config:
app.config.from_object('config.TestingConfig')
else:
app.config.from_object(os.environ['APP_SET... | 29.766667 | 92 | 0.703807 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.192609 |
0cab184754b8b6e990d3f1607a9b78c8dc5d5f41 | 7,421 | py | Python | model_functions.py | blowe615/flower_classifier | 7cdb6ebe292f90ae711f050ff24fb68e3a9570c1 | [
"MIT"
] | 1 | 2019-08-29T04:24:22.000Z | 2019-08-29T04:24:22.000Z | model_functions.py | blowe615/flower_classifier | 7cdb6ebe292f90ae711f050ff24fb68e3a9570c1 | [
"MIT"
] | null | null | null | model_functions.py | blowe615/flower_classifier | 7cdb6ebe292f90ae711f050ff24fb68e3a9570c1 | [
"MIT"
] | null | null | null | import torch
from torch import nn
import torch.nn.functional as F
#from helper_functions import process_image
class DeepNetworkClassifier(nn.Module):
def __init__(self, input_units, output_units, hidden_units,p_drop=0.2):
'''
Builds a classifier for a pretrained deep neural network for the flower d... | 38.252577 | 107 | 0.603153 | 1,238 | 0.166824 | 0 | 0 | 0 | 0 | 0 | 0 | 3,541 | 0.477159 |
0cab395492740b9b3d338ab6d9a913dcbe6912e1 | 1,327 | py | Python | src/pages/random.py | jojo935/Kemono2 | bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b | [
"BSD-3-Clause"
] | null | null | null | src/pages/random.py | jojo935/Kemono2 | bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b | [
"BSD-3-Clause"
] | null | null | null | src/pages/random.py | jojo935/Kemono2 | bdfaf0ab2dd3c2c4a04805feea8e9fb6193cbd9b | [
"BSD-3-Clause"
] | null | null | null | from flask import Blueprint, redirect, url_for, g
from ..utils.utils import make_cache_key
from ..internals.cache.redis import get_conn
from ..internals.cache.flask_cache import cache
from ..internals.database.database import get_cursor
from ..lib.artist import get_artist, get_random_artist_keys
from ..lib.po... | 30.159091 | 116 | 0.699322 | 0 | 0 | 0 | 0 | 501 | 0.377543 | 0 | 0 | 107 | 0.080633 |
0cab46908744c082e44a614483e84981deda1786 | 4,258 | py | Python | rljax/algorithm/tqc.py | kew96/rljax | f80998b7698e87ee9f81b159ba33d619e4cf77c1 | [
"MIT"
] | 56 | 2020-10-01T02:55:47.000Z | 2022-03-07T08:00:25.000Z | rljax/algorithm/tqc.py | kew96/rljax | f80998b7698e87ee9f81b159ba33d619e4cf77c1 | [
"MIT"
] | 4 | 2020-10-02T03:52:29.000Z | 2021-10-02T03:59:00.000Z | rljax/algorithm/tqc.py | kew96/rljax | f80998b7698e87ee9f81b159ba33d619e4cf77c1 | [
"MIT"
] | 10 | 2020-12-21T08:21:02.000Z | 2022-01-11T03:36:20.000Z | from functools import partial
from typing import List
import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
from rljax.algorithm.sac import SAC
from rljax.network import ContinuousQuantileFunction, StateDependentGaussianPolicy
from rljax.util import quantile_loss
class TQC(SAC):
name = "TQC"
... | 32.015038 | 118 | 0.59488 | 3,970 | 0.932363 | 0 | 0 | 1,601 | 0.375998 | 0 | 0 | 19 | 0.004462 |
0cac991dc2d4d32121af9b2da9f1960fba266638 | 917 | py | Python | benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py | Kortemme-Lab/benchmark_set_construct | ee6c9e097ff49d370936b41f102ada006fb4441a | [
"MIT"
] | null | null | null | benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py | Kortemme-Lab/benchmark_set_construct | ee6c9e097ff49d370936b41f102ada006fb4441a | [
"MIT"
] | null | null | null | benchmark_constructor/file_normalizers/ContactSelectFileNormalizer.py | Kortemme-Lab/benchmark_set_construct | ee6c9e097ff49d370936b41f102ada006fb4441a | [
"MIT"
] | null | null | null | import os
from .FileNormalizer import FileNormalizer
class ContactSelectFileNormalizer(FileNormalizer):
'''ContactSelectFileNormalizer creates a pymol script that selects
residues which have contacts to asymmetric units.
'''
def __init__(self):
pass
def normalize_one_file(self, path, crystal_con... | 31.62069 | 94 | 0.691385 | 847 | 0.923664 | 0 | 0 | 0 | 0 | 0 | 0 | 292 | 0.31843 |
0cac9d083e4dfd2daccd29d3da4102e79f646255 | 1,919 | py | Python | neurovault/apps/statmaps/tests/test_qa.py | abitrolly/NeuroVault | e62bc65c8e0e58bff55bb9fa7cf11193dc54d734 | [
"MIT"
] | 68 | 2015-02-07T06:09:49.000Z | 2022-03-03T22:58:33.000Z | neurovault/apps/statmaps/tests/test_qa.py | abitrolly/NeuroVault | e62bc65c8e0e58bff55bb9fa7cf11193dc54d734 | [
"MIT"
] | 436 | 2015-01-01T01:01:13.000Z | 2021-11-07T18:24:00.000Z | neurovault/apps/statmaps/tests/test_qa.py | abitrolly/NeuroVault | e62bc65c8e0e58bff55bb9fa7cf11193dc54d734 | [
"MIT"
] | 60 | 2015-01-10T23:31:26.000Z | 2021-08-10T06:39:57.000Z | import os
import nibabel as nb
import numpy as np
from django.test import TestCase
from neurovault.apps.statmaps.models import BaseStatisticMap
from neurovault.apps.statmaps.utils import is_thresholded, infer_map_type
class QATest(TestCase):
def setUp(self):
this_path = os.path.abspath(os.path.dirname(... | 50.5 | 112 | 0.684211 | 1,697 | 0.884315 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.11777 |
0cad53d938be9fc089dc7d7cacb7515f952a2770 | 1,758 | py | Python | src/crawler/input_data/spiders/bitcointalk.py | HofmannZ/global-ai-hackathon--truth-coin | 9f544cdb05de0811796d2465fba64875ee77cdab | [
"MIT"
] | 5 | 2017-06-24T22:54:13.000Z | 2020-02-13T17:23:12.000Z | src/crawler/input_data/spiders/bitcointalk.py | HofmannZ/global-ai-hackathon--truth-coin | 9f544cdb05de0811796d2465fba64875ee77cdab | [
"MIT"
] | 2 | 2017-06-24T12:07:22.000Z | 2017-06-25T18:12:24.000Z | src/crawler/input_data/spiders/bitcointalk.py | HofmannZ/global-ai-hackathon--truth-coin | 9f544cdb05de0811796d2465fba64875ee77cdab | [
"MIT"
] | 1 | 2017-08-02T12:37:52.000Z | 2017-08-02T12:37:52.000Z | # -*- coding: utf-8 -*-
import scrapy
class BitcointalkSpider(scrapy.Spider):
name = 'bitcointalk'
allowed_domains = ['bitcointalk.org']
start_urls = [
'https://bitcointalk.org/index.php?board=1.0',
]
def parse(self, response):
topics = response.css('div.tborder table.bordercolor'... | 33.807692 | 92 | 0.585324 | 1,719 | 0.976705 | 1,521 | 0.864205 | 0 | 0 | 0 | 0 | 493 | 0.280114 |
0cae04c95140cd33bca1362795247caf69458f47 | 9,770 | py | Python | fugue/column/functions.py | kvnkho/fugue | 5f3fe8f1fb72632e5b5987d720c1d1ef546e4682 | [
"Apache-2.0"
] | 547 | 2020-09-22T08:30:14.000Z | 2022-03-30T23:11:05.000Z | fugue/column/functions.py | kvnkho/fugue | 5f3fe8f1fb72632e5b5987d720c1d1ef546e4682 | [
"Apache-2.0"
] | 196 | 2020-09-22T23:08:26.000Z | 2022-03-26T21:22:48.000Z | fugue/column/functions.py | kvnkho/fugue | 5f3fe8f1fb72632e5b5987d720c1d1ef546e4682 | [
"Apache-2.0"
] | 37 | 2020-09-23T17:05:00.000Z | 2022-03-29T18:26:52.000Z | from typing import Any, Optional
import pyarrow as pa
from fugue.column.expressions import (
ColumnExpr,
_FuncExpr,
_to_col,
function,
)
from triad import Schema
def coalesce(*args: Any) -> ColumnExpr:
"""SQL ``COALESCE`` function
:param args: If a value is not :class:`~fugue.column.expressi... | 26.334232 | 80 | 0.572467 | 771 | 0.078915 | 0 | 0 | 0 | 0 | 0 | 0 | 7,385 | 0.755885 |
0cae7bc6d95d0a5148d10292b4933dd1fd93753f | 1,968 | py | Python | chapters/10/src/biglittle/entity/user.py | PacktPublishing/-Learn-MongoDB-4.0 | 011f14fc66c42498dcbf07e64e760b5e9f420243 | [
"MIT"
] | 13 | 2020-08-06T17:05:50.000Z | 2021-11-08T13:12:11.000Z | chapters/10/src/biglittle/entity/user.py | PacktPublishing/-Learn-MongoDB-4.0 | 011f14fc66c42498dcbf07e64e760b5e9f420243 | [
"MIT"
] | 4 | 2020-09-20T05:30:39.000Z | 2021-04-01T08:35:40.000Z | chapters/10/src/biglittle/entity/user.py | PacktPublishing/-Learn-MongoDB-4.0 | 011f14fc66c42498dcbf07e64e760b5e9f420243 | [
"MIT"
] | 12 | 2020-08-07T06:45:43.000Z | 2021-12-08T06:58:23.000Z | # biglittle.entity.user
# tell python where to find module source code
import os,sys
sys.path.append(os.path.realpath('../../../src'))
from biglittle.entity.base import Base
class Name(Base) :
formFieldPrefix = 'name_'
fields = {
'title' : '',
'first' : '',
'middle' : '',
'la... | 22.363636 | 57 | 0.427846 | 1,779 | 0.903963 | 0 | 0 | 0 | 0 | 0 | 0 | 564 | 0.286585 |
0caedcb03495a9332700a86dd6b9b7674d0e59ac | 32 | py | Python | gaia-sdk-python/conftest.py | leftshiftone/gaia-sdk | 7e0d1ce054fada8ae154da70b71e8a90347c9f97 | [
"MIT"
] | null | null | null | gaia-sdk-python/conftest.py | leftshiftone/gaia-sdk | 7e0d1ce054fada8ae154da70b71e8a90347c9f97 | [
"MIT"
] | 10 | 2019-11-14T07:55:47.000Z | 2022-02-26T19:36:45.000Z | gaia-sdk-python/conftest.py | leftshiftone/gaia-sdk | 7e0d1ce054fada8ae154da70b71e8a90347c9f97 | [
"MIT"
] | 2 | 2020-05-12T11:09:53.000Z | 2020-12-25T14:03:04.000Z | # enabled testing relative paths | 32 | 32 | 0.84375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 1 |
0caeebf4e3ed3af12c71f32665fdf047f4676dd8 | 497 | py | Python | backend/app/utils.py | dashdashforce/int20h-test-photo-viewer | 1720ec2c30685eac9d1e5ef9ecf3d389239ee566 | [
"MIT"
] | null | null | null | backend/app/utils.py | dashdashforce/int20h-test-photo-viewer | 1720ec2c30685eac9d1e5ef9ecf3d389239ee566 | [
"MIT"
] | 20 | 2019-02-04T21:57:59.000Z | 2019-02-10T21:50:17.000Z | backend/app/utils.py | dashdashforce/int20h-test-photo-viewer | 1720ec2c30685eac9d1e5ef9ecf3d389239ee566 | [
"MIT"
] | null | null | null |
from functools import reduce
from itertools import groupby
from operator import add, itemgetter
def merge_records_by(key, combine):
return lambda first, second: {
k: first[k] if k == key else combine(first[k], second[k])
for k in first
}
def merge_list_of_records_by(key, combine):
keypr... | 24.85 | 68 | 0.682093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0cb1135cd1e8235884dc831dd92989b829868853 | 704 | py | Python | main/validadorCPF/cpf.py | LuizMoreira-py/cadastro | 606c024f126f99ba943cb68115aef472ea61e57e | [
"MIT"
] | null | null | null | main/validadorCPF/cpf.py | LuizMoreira-py/cadastro | 606c024f126f99ba943cb68115aef472ea61e57e | [
"MIT"
] | null | null | null | main/validadorCPF/cpf.py | LuizMoreira-py/cadastro | 606c024f126f99ba943cb68115aef472ea61e57e | [
"MIT"
] | null | null | null | class Cpf:
def __init__(self, documento):
documento = str(documento)
if self.cpf_eh_valido(documento):
self.cpf = documento
else:
raise ValueError("CPF inválido!")
def cpf_eh_valido(self, documento):
if len(documento) == 11:
return True
... | 25.142857 | 45 | 0.484375 | 704 | 0.998582 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.041135 |
0cb1a795ec8e001999c9a8e30123e5f34107264b | 1,484 | py | Python | backend/venue_scraper.py | illicitonion/edfringeplanner | ab6d4a3218ee211de5078b3205fd39da1fbdfb50 | [
"BSD-3-Clause"
] | null | null | null | backend/venue_scraper.py | illicitonion/edfringeplanner | ab6d4a3218ee211de5078b3205fd39da1fbdfb50 | [
"BSD-3-Clause"
] | null | null | null | backend/venue_scraper.py | illicitonion/edfringeplanner | ab6d4a3218ee211de5078b3205fd39da1fbdfb50 | [
"BSD-3-Clause"
] | null | null | null | from selenium import webdriver
from config import Config
from db import cursor
def get_venues():
driver = webdriver.Chrome()
try:
driver.get("https://tickets.edfringe.com/venues")
while True:
venues_container = driver.find_element_by_class_name("venues")
for venue in ... | 32.26087 | 108 | 0.574798 | 0 | 0 | 903 | 0.608081 | 0 | 0 | 0 | 0 | 236 | 0.158923 |
0cb24ca44f49e7024594f31e5eea8a2d6ed7620b | 1,437 | py | Python | Source Files/auth.py | clever-username/baseball-card-inventory | 9940ba746072892961b7ade586e63f7deb26d2e6 | [
"MIT"
] | 1 | 2021-05-18T21:32:43.000Z | 2021-05-18T21:32:43.000Z | Source Files/auth.py | clever-username/baseball-card-inventory | 9940ba746072892961b7ade586e63f7deb26d2e6 | [
"MIT"
] | null | null | null | Source Files/auth.py | clever-username/baseball-card-inventory | 9940ba746072892961b7ade586e63f7deb26d2e6 | [
"MIT"
] | 2 | 2015-05-18T14:52:01.000Z | 2015-05-19T18:21:51.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""This program prompts for a password."""
import authentication
import getpass
def login(username, maxattempts=3):
"""This function takes input from a user and checks the password.
Arg:
username(str): String input from user.
maxattempts... | 31.933333 | 78 | 0.592206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 962 | 0.66945 |
0cb26210fdbce5c2de9ff66cfbeec89817eff49b | 267 | py | Python | tests/test_utils.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | 1 | 2017-08-13T09:50:06.000Z | 2017-08-13T09:50:06.000Z | tests/test_utils.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | null | null | null | tests/test_utils.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | null | null | null | import unittest
import logging
import xml.etree.ElementTree as et
import dscraper.utils as utils
logger = logging.getLogger(__name__)
class TestUtils(unittest.TestCase):
XML_FILES = (
'tests/resources/1.xml',
)
def setUp(self):
pass
| 14.833333 | 36 | 0.692884 | 128 | 0.479401 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.086142 |
0cb5558fd712cd9664d2840e0dfa1433d69b0ae5 | 7,491 | py | Python | CameraCalibration.py | lsmanoel/StereoVision | 22e9a422a217290e6fb2b71afc663db87e530842 | [
"MIT"
] | null | null | null | CameraCalibration.py | lsmanoel/StereoVision | 22e9a422a217290e6fb2b71afc663db87e530842 | [
"MIT"
] | null | null | null | CameraCalibration.py | lsmanoel/StereoVision | 22e9a422a217290e6fb2b71afc663db87e530842 | [
"MIT"
] | null | null | null |
import numpy as np
import cv2
import glob
from matplotlib import pyplot as plt
class CameraCalibration():
def __init__(self):
pass
# ===========================================================
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
@staticmethod
def find_chess(frame... | 39.015625 | 128 | 0.394206 | 7,162 | 0.956081 | 0 | 0 | 6,547 | 0.873982 | 0 | 0 | 2,071 | 0.276465 |
0cb626407dc59dff1be601a5e0499c7a012ea0ad | 75 | py | Python | app/database/base.py | CabetoDP/fastapi-crud | bbeef58b74b7a010037ca8503a7f05f8b4db2ab4 | [
"MIT"
] | null | null | null | app/database/base.py | CabetoDP/fastapi-crud | bbeef58b74b7a010037ca8503a7f05f8b4db2ab4 | [
"MIT"
] | null | null | null | app/database/base.py | CabetoDP/fastapi-crud | bbeef58b74b7a010037ca8503a7f05f8b4db2ab4 | [
"MIT"
] | null | null | null | from app.database.base_class import Base
from app.models.place import Place | 37.5 | 40 | 0.853333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0cb66d2801b2daaa2e8e7ffbed52fec520091038 | 3,499 | py | Python | yolox/models/simo_fpn.py | RawFisher/YOLOX | bec9423bdd25a9e85b976c32d774e31a33fcefed | [
"Apache-2.0"
] | null | null | null | yolox/models/simo_fpn.py | RawFisher/YOLOX | bec9423bdd25a9e85b976c32d774e31a33fcefed | [
"Apache-2.0"
] | null | null | null | yolox/models/simo_fpn.py | RawFisher/YOLOX | bec9423bdd25a9e85b976c32d774e31a33fcefed | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
import torch
import torch.nn as nn
from .sdc_darknet import SDCCSPDarknet
# from .simo_darknet import SIMOCSPDarknet
from .network_blocks import BaseConv, CSPLayer, DWConv
from .network_blocks import get_activatio... | 30.964602 | 115 | 0.595027 | 3,172 | 0.906545 | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 0.158617 |
0cb6a5d9b64c81ee9b97838a133419cdba2cb50d | 326 | py | Python | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | 1 | 2020-11-17T22:56:56.000Z | 2020-11-17T22:56:56.000Z | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | null | null | null | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | null | null | null | from benchmark.benchmark import Benchmark
from mysqlutils.mysqladapter import MySQLAdapter
class MysqlBenchmark(Benchmark):
"""Abstract parent class for mysql benchmarks"""
def __init__(self, adapter, title, repeat_count=7):
super().__init__(title, repeat_count=repeat_count)
self.adapter = ad... | 29.636364 | 58 | 0.754601 | 232 | 0.711656 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.147239 |
0cb86fe9bbc7f2cf6d3e6c50ebc4e8bef2550fd2 | 316 | py | Python | packages/core/minos-microservice-networks/tests/test_networks/test_exceptions.py | sorasful/minos-python | 1189330eebf6444627a2af6b29f347670f95a4dd | [
"MIT"
] | 247 | 2022-01-24T14:55:30.000Z | 2022-03-25T12:06:17.000Z | packages/core/minos-microservice-networks/tests/test_networks/test_exceptions.py | sorasful/minos-python | 1189330eebf6444627a2af6b29f347670f95a4dd | [
"MIT"
] | 275 | 2021-04-03T09:23:40.000Z | 2022-01-28T11:56:25.000Z | tests/test_networks/test_exceptions.py | Clariteia/minos_microservice_networks | 77f239429653272c5cb3447311513143f8521ed9 | [
"MIT"
] | 21 | 2022-02-06T17:25:58.000Z | 2022-03-27T04:50:29.000Z | import unittest
from minos.common import (
MinosException,
)
from minos.networks import (
MinosNetworkException,
)
class TestExceptions(unittest.TestCase):
def test_type(self):
self.assertTrue(issubclass(MinosNetworkException, MinosException))
if __name__ == "__main__":
unittest.main()
| 17.555556 | 74 | 0.737342 | 140 | 0.443038 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.031646 |
0cb88d9738f070179ad3791e8725e49dddde3cbd | 45 | py | Python | Weltantschauung/__init__.py | area42/Weltanschauung- | 85694740f149aa741f69a67bf234b447ba11fb22 | [
"MIT"
] | null | null | null | Weltantschauung/__init__.py | area42/Weltanschauung- | 85694740f149aa741f69a67bf234b447ba11fb22 | [
"MIT"
] | null | null | null | Weltantschauung/__init__.py | area42/Weltanschauung- | 85694740f149aa741f69a67bf234b447ba11fb22 | [
"MIT"
] | null | null | null | from .Weltantschauung import Weltantschauung
| 22.5 | 44 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0cb8ec1c4a754eeb4820931d43bc795cf047e17e | 187 | py | Python | api/messages/csv_file.py | pikanezi/Roadkill | b2c69294afa4cce810fa898f3aa1cb467bffa413 | [
"MIT"
] | null | null | null | api/messages/csv_file.py | pikanezi/Roadkill | b2c69294afa4cce810fa898f3aa1cb467bffa413 | [
"MIT"
] | null | null | null | api/messages/csv_file.py | pikanezi/Roadkill | b2c69294afa4cce810fa898f3aa1cb467bffa413 | [
"MIT"
] | null | null | null | __author__ = 'Vincent'
from protorpc import messages
class CsvFile(messages.Message):
file = messages.BytesField(1, required=True)
name = messages.StringField(2, required=False) | 26.714286 | 50 | 0.759358 | 132 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.048128 |
0cb8edc3aaa4ea60cf2e8cdba8dd3f71fa79f1ce | 1,510 | py | Python | run.py | whyjay/memoryGAN | cfc5e8cf37f9537a3136595a6afa734335622202 | [
"MIT"
] | 44 | 2018-03-05T06:11:31.000Z | 2022-03-30T06:40:24.000Z | run.py | whyjay/memoryGAN | cfc5e8cf37f9537a3136595a6afa734335622202 | [
"MIT"
] | 3 | 2018-03-20T03:17:23.000Z | 2018-07-29T11:46:34.000Z | run.py | whyjay/memoryGAN | cfc5e8cf37f9537a3136595a6afa734335622202 | [
"MIT"
] | 11 | 2018-04-01T18:24:53.000Z | 2020-10-15T08:55:21.000Z | import os
import numpy as np
import tensorflow as tf
from models.config import Config
from models.memory_gan import MemoryGAN
from models.test_generation import test_generation
from models.train import train
from utils import pp, visualize, to_json
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
flags = tf.app.flags
flags.... | 31.458333 | 98 | 0.724503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 0.241722 |
0cb901c85f60e28cdd422152266e1ce6e9afaf21 | 2,164 | py | Python | web/impact/impact/views/calendar_reminder_view.py | masschallenge/impact-api | 81075ced8fcc95de9390dd83c15e523e67fc48c0 | [
"MIT"
] | 5 | 2017-10-19T15:11:52.000Z | 2020-03-08T07:16:21.000Z | web/impact/impact/views/calendar_reminder_view.py | masschallenge/impact-api | 81075ced8fcc95de9390dd83c15e523e67fc48c0 | [
"MIT"
] | 182 | 2017-06-21T19:32:13.000Z | 2021-03-22T13:38:16.000Z | web/impact/impact/views/calendar_reminder_view.py | masschallenge/impact-api | 81075ced8fcc95de9390dd83c15e523e67fc48c0 | [
"MIT"
] | 1 | 2018-06-23T11:53:18.000Z | 2018-06-23T11:53:18.000Z | from django.views import View
from django.http import HttpResponseRedirect
from add2cal import Add2Cal
from pytz import timezone
import datetime
from django.http import (
JsonResponse,
HttpResponse
)
ADD2CAL_DATE_FORMAT = "%Y%m%dT%H%M%S"
CALENDAR_CONTENT_TYPE = 'text/calendar'
OUTLOOK_LINK_TYPE = 'outlook'
GOO... | 35.47541 | 79 | 0.636322 | 1,766 | 0.816081 | 0 | 0 | 0 | 0 | 0 | 0 | 309 | 0.142791 |
0cb93959fe2a17c6bba6b5049a41d091d98ecf1d | 1,174 | py | Python | slixmpp/plugins/xep_0421/stanza.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | slixmpp/plugins/xep_0421/stanza.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | slixmpp/plugins/xep_0421/stanza.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | """
Slixmpp: The Slick XMPP Library
Copyright (C) 2020 "Maxime “pep” Buquet <[email protected]>"
This file is part of Slixmpp.
See the file LICENSE for copying permission.
"""
from slixmpp.xmlstream import ElementBase
NS = 'urn:xmpp:occupant-id:0'
class OccupantId(ElementBase):
'''
An Occupant... | 28.634146 | 78 | 0.663543 | 907 | 0.769949 | 0 | 0 | 0 | 0 | 0 | 0 | 1,037 | 0.880306 |
0cba78e638ec2faf5f7126a5c233d72920bc6dd8 | 3,458 | py | Python | poseidon/dags/traffic_counts/traffic_counts_jobs.py | panda-tech/poseidon-airflow | bce5bc02b55f15330635a436056d99acb93488ef | [
"Apache-2.0"
] | null | null | null | poseidon/dags/traffic_counts/traffic_counts_jobs.py | panda-tech/poseidon-airflow | bce5bc02b55f15330635a436056d99acb93488ef | [
"Apache-2.0"
] | null | null | null | poseidon/dags/traffic_counts/traffic_counts_jobs.py | panda-tech/poseidon-airflow | bce5bc02b55f15330635a436056d99acb93488ef | [
"Apache-2.0"
] | null | null | null | """Traffic counts _jobs file."""
import pandas as pd
import logging
from subprocess import Popen, PIPE
from trident.util import general
conf = general.config
fy = general.get_FY_year()
def get_traffic_counts(out_fname='traffic_counts_file'):
"""Get traffic counts file from shared drive."""
logging.info(f'Ret... | 32.317757 | 79 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,286 | 0.371891 |
0cba867a6c14d6b3104167202a30906c2120dfc6 | 2,624 | py | Python | metaquantome/modules/run_viz.py | jj-umn/metaquantome | 46461dea0914b9c153985e02c594eeb781bf3a27 | [
"Apache-2.0"
] | 4 | 2019-03-19T10:40:34.000Z | 2021-08-16T14:10:53.000Z | metaquantome/modules/run_viz.py | jj-umn/metaquantome | 46461dea0914b9c153985e02c594eeb781bf3a27 | [
"Apache-2.0"
] | 35 | 2018-11-15T18:33:39.000Z | 2021-02-20T20:37:55.000Z | metaquantome/modules/run_viz.py | jj-umn/metaquantome | 46461dea0914b9c153985e02c594eeb781bf3a27 | [
"Apache-2.0"
] | 6 | 2018-11-16T03:10:45.000Z | 2021-02-24T20:56:45.000Z | import os
import subprocess
import json
from metaquantome.util.utils import BASE_DIR
from metaquantome.classes.SampleGroups import SampleGroups
def run_viz(plottype, img, infile, strip=None,
mode=None, meancol=None, nterms='5', target_rank=None, barcol=6, # barplot, stacked_bar
textannot=Non... | 47.709091 | 141 | 0.676829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 511 | 0.194741 |
0cbd16de6a3b89e4146e58d8e4a4fcddb5bba48b | 7,173 | py | Python | src/mtweepy/__init__.py | Souvic/mtweepy | 26c5480aee1032a38335018efc66610b6960f7d4 | [
"MIT"
] | 1 | 2021-07-04T09:30:10.000Z | 2021-07-04T09:30:10.000Z | src/mtweepy/__init__.py | Souvic/mtweepy | 26c5480aee1032a38335018efc66610b6960f7d4 | [
"MIT"
] | null | null | null | src/mtweepy/__init__.py | Souvic/mtweepy | 26c5480aee1032a38335018efc66610b6960f7d4 | [
"MIT"
] | null | null | null | import json
import multiprocessing
import os
import requests
from requests_oauthlib import OAuth1
from time import sleep
import tweepy
def get_users_single(x,auth,output_folder):
while(True):
url=f"https://api.twitter.com/1.1/users/lookup.json?user_id={','.join([str(i) for i in x])}"
if(type... | 33.518692 | 196 | 0.539384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,281 | 0.178586 |
0cbd7b1b3648a635297e6eb2447f59f26aa10163 | 49,924 | py | Python | pyUSID/io/hdf_utils/model.py | rajgiriUW/pyUSID | 064dcd81d9c42f4eb4782f0a41fd437b3f56f50c | [
"MIT"
] | 25 | 2018-07-11T21:43:56.000Z | 2021-11-17T11:40:00.000Z | pyUSID/io/hdf_utils/model.py | rajgiriUW/pyUSID | 064dcd81d9c42f4eb4782f0a41fd437b3f56f50c | [
"MIT"
] | 62 | 2018-07-05T20:28:52.000Z | 2021-12-14T09:49:35.000Z | pyUSID/io/hdf_utils/model.py | rajgiriUW/pyUSID | 064dcd81d9c42f4eb4782f0a41fd437b3f56f50c | [
"MIT"
] | 15 | 2019-03-27T22:28:47.000Z | 2021-01-03T20:23:42.000Z | # -*- coding: utf-8 -*-
"""
Utilities for reading and writing USID datasets that are highly model-dependent (with or without N-dimensional form)
Created on Tue Nov 3 21:14:25 2015
@author: Suhas Somnath, Chris Smith
"""
from __future__ import division, print_function, absolute_import, unicode_literals
from warnings ... | 45.303085 | 223 | 0.640834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23,168 | 0.464065 |
0cbd80d538ed5aeecd342647472ca2c49593352a | 3,110 | py | Python | TaxPy/data_processing/export_reads.py | stenglein-lab/TaxAssessor | 144599d1395627c4e86ab68a4d6d3e0785e606f0 | [
"MIT"
] | null | null | null | TaxPy/data_processing/export_reads.py | stenglein-lab/TaxAssessor | 144599d1395627c4e86ab68a4d6d3e0785e606f0 | [
"MIT"
] | 2 | 2016-11-29T19:48:27.000Z | 2016-12-09T17:18:56.000Z | TaxPy/data_processing/export_reads.py | stenglein-lab/TaxAssessor | 144599d1395627c4e86ab68a4d6d3e0785e606f0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import json
import timeit
import re
import TaxPy.db_management.db_wrap as TaxDb
from itertools import izip
def retrieveReads(userName,fileName,fileId,parentTaxId,query):
time1 = timeit.default_timer()
taxTree = loadTaxTree(userName,fileName)
time2 = timeit.default_timer()
print str... | 27.280702 | 76 | 0.618971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 417 | 0.134084 |
0cbdc5e7cc5bd19da3d1e30a35d3c1cd8334e753 | 1,209 | py | Python | python/caliper-reader/setup.py | slabasan/Caliper | 85601f48e7f883fb87dec85e92c849eec2bb61f7 | [
"BSD-3-Clause"
] | 220 | 2016-01-19T19:00:10.000Z | 2022-03-29T02:09:39.000Z | python/caliper-reader/setup.py | slabasan/Caliper | 85601f48e7f883fb87dec85e92c849eec2bb61f7 | [
"BSD-3-Clause"
] | 328 | 2016-05-12T15:47:30.000Z | 2022-03-30T19:42:02.000Z | python/caliper-reader/setup.py | slabasan/Caliper | 85601f48e7f883fb87dec85e92c849eec2bb61f7 | [
"BSD-3-Clause"
] | 48 | 2016-03-04T22:04:39.000Z | 2021-12-18T12:11:43.000Z | # Copyright (c) 2020-20201, Lawrence Livermore National Security, LLC.
# See top-level LICENSE file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
import setuptools
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with ope... | 31.815789 | 87 | 0.715467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 664 | 0.549214 |
0cbded3b957b5b9247296e61a096662c54742d11 | 774 | py | Python | programming_fundamentals/python_part_2/common_vars.py | tobaidullah/2 | 3fa67855ef461ccaee283dcbbdd9bf00e7a52378 | [
"MIT"
] | 629 | 2017-12-15T20:26:13.000Z | 2022-03-30T04:02:02.000Z | programming_fundamentals/python_part_2/common_vars.py | tobaidullah/2 | 3fa67855ef461ccaee283dcbbdd9bf00e7a52378 | [
"MIT"
] | 40 | 2018-01-18T09:07:50.000Z | 2021-09-23T23:21:47.000Z | programming_fundamentals/python_part_2/common_vars.py | tobaidullah/2 | 3fa67855ef461ccaee283dcbbdd9bf00e7a52378 | [
"MIT"
] | 394 | 2017-12-18T22:35:36.000Z | 2022-03-29T19:41:25.000Z | #! /usr/bin/env python
"""
Learning Series: Network Programmability Basics
Module: Programming Fundamentals
Lesson: Python Part 2
Author: Hank Preston <[email protected]>
common_vars.py
Illustrate the following concepts:
- Code reuse
imported into other examples
"""
shapes = ["square", "triangle", "circle"]
books =... | 22.764706 | 56 | 0.485788 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 0.568475 |
0cc0715c89b9cf37ccc8268295889e035e429cd7 | 4,118 | py | Python | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | from flask_wtf import Form
from wtforms import TextField, PasswordField, validators, IntegerField, BooleanField, SelectField, SubmitField
from wtforms.validators import Required, Length, Email, ValidationError, Regexp, EqualTo, NumberRange
from wtforms.widgets import SubmitInput
class SignUp(Form):
username = TextFie... | 52.126582 | 118 | 0.723409 | 3,818 | 0.927149 | 0 | 0 | 0 | 0 | 0 | 0 | 1,955 | 0.474745 |
0cc0bf99ee01e613b032f7efe713db47ddaef6b6 | 1,137 | py | Python | ossdbtoolsservice/metadata/contracts/object_metadata.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 33 | 2019-05-27T13:04:35.000Z | 2022-03-17T13:33:05.000Z | ossdbtoolsservice/metadata/contracts/object_metadata.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 31 | 2019-06-10T01:55:47.000Z | 2022-03-09T07:27:49.000Z | ossdbtoolsservice/metadata/contracts/object_metadata.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 25 | 2019-05-13T18:39:24.000Z | 2021-11-16T03:07:33.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 34.454545 | 156 | 0.591029 | 687 | 0.604222 | 0 | 0 | 102 | 0.08971 | 0 | 0 | 437 | 0.384345 |
0cc14f945ff11b1ec78d14d582d03623e82355fd | 4,657 | py | Python | tools/multiscale_shape.py | marvin-eisenberger/hamiltonian-interpolation | d18c2f401feffc672998c5fa1d50c1de03dba902 | [
"MIT"
] | 5 | 2021-01-05T23:16:55.000Z | 2021-07-23T12:26:06.000Z | tools/multiscale_shape.py | marvin-eisenberger/hamiltonian-interpolation | d18c2f401feffc672998c5fa1d50c1de03dba902 | [
"MIT"
] | null | null | null | tools/multiscale_shape.py | marvin-eisenberger/hamiltonian-interpolation | d18c2f401feffc672998c5fa1d50c1de03dba902 | [
"MIT"
] | 1 | 2021-02-22T08:31:05.000Z | 2021-02-22T08:31:05.000Z | import torch
from shape_utils import Shape, load_shape_pair, scatter_shape_pair
from torch_geometric.nn import knn
from param import *
from arap_potential import arap_vert
def load_multiscale_shapes(folder_path, file_name, scales, offset=0.5*torch.ones([3], device=device, dtype=torch.float32)):
"""Like 'load_shap... | 33.503597 | 126 | 0.665235 | 3,622 | 0.777754 | 0 | 0 | 0 | 0 | 0 | 0 | 711 | 0.152673 |
0cc186344e52a624e94b0910847681d7c50bf522 | 7,919 | py | Python | src/RBF.py | KastnerRG/sherlock | ba3e8a81e08315df169bb5dd76d9fdd8f2660583 | [
"CC-BY-4.0"
] | null | null | null | src/RBF.py | KastnerRG/sherlock | ba3e8a81e08315df169bb5dd76d9fdd8f2660583 | [
"CC-BY-4.0"
] | null | null | null | src/RBF.py | KastnerRG/sherlock | ba3e8a81e08315df169bb5dd76d9fdd8f2660583 | [
"CC-BY-4.0"
] | null | null | null | import numpy as np
import scipy
import scipy.linalg as linalg
import scipy.spatial
import scipy.special
import scipy.optimize
import sklearn
def bases(name):
if name == 'linear':
f = lambda x: x
elif name == 'cubic':
f = lambda x: x**3
elif name == 'multiquadric':
f = lambda x, s: ... | 32.858921 | 164 | 0.56194 | 6,490 | 0.819548 | 0 | 0 | 0 | 0 | 0 | 0 | 1,033 | 0.130446 |
0cc31eec76a99a4705096b18e21f9ea4dd88bce8 | 523 | py | Python | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import *
class ProductAdmin(admin.ModelAdmin):
list_display=['name','category','price_is']
prepopulated_fields = {"slug": ("name",)}
class CartAdmin(admin.ModelAdmin):
list_display=['item','user','created']
class OrderAdmin(admin.ModelAdmin):
list_displ... | 20.115385 | 47 | 0.743786 | 279 | 0.533461 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.195029 |
0cc3636c2c8cdfc0167b425c8f83724d3610d2e3 | 1,063 | py | Python | extract/tef/incident_reflected_power_test.py | PuffyPuffin/LO_user | c7cafc2045b027aad0098d034cbe2b70126c8379 | [
"MIT"
] | null | null | null | extract/tef/incident_reflected_power_test.py | PuffyPuffin/LO_user | c7cafc2045b027aad0098d034cbe2b70126c8379 | [
"MIT"
] | null | null | null | extract/tef/incident_reflected_power_test.py | PuffyPuffin/LO_user | c7cafc2045b027aad0098d034cbe2b70126c8379 | [
"MIT"
] | null | null | null | """
Test of the cancellation of terms in the calculation of
tidal energy flux.
This will follow Mofjeld's notation.
F is proportional to the energy flux of the original signal, and
FF is proportional to the sum of the energy fluxes of the incident and
reflected waves.
RESULT: The two net fluxes are only equal for ze... | 25.309524 | 78 | 0.659454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 551 | 0.518344 |
0cc371f590d58414f3d55a84eb2346850fb66bd9 | 552 | py | Python | tests/test_recipe.py | iruoma/DevCookbook | e13b955bc2dbfaacab1852d857af058aab0029e5 | [
"MIT"
] | 20 | 2020-10-28T03:06:41.000Z | 2021-11-15T02:52:43.000Z | tests/test_recipe.py | iruoma/DevCookbook | e13b955bc2dbfaacab1852d857af058aab0029e5 | [
"MIT"
] | 15 | 2020-12-04T00:47:59.000Z | 2021-03-23T11:42:48.000Z | tests/test_recipe.py | iruoma/DevCookbook | e13b955bc2dbfaacab1852d857af058aab0029e5 | [
"MIT"
] | 22 | 2020-11-24T14:02:07.000Z | 2022-02-01T18:52:26.000Z | from recipe_compiler.recipe import Recipe
from recipe_compiler.recipe_category import RecipeCategory
def test_recipe_slug():
# Given
name = "Thomas Eckert"
residence = "Seattle, WA"
category = RecipeCategory("dessert")
recipe_name = '"Pie" Shell Script'
quote = "Hello, World"
ingredients =... | 23 | 80 | 0.664855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.202899 |
0cc46073749631b895fb07e8351d82807fbd6e14 | 2,140 | py | Python | lms_app/v1/serializers/user_serializers.py | Etomovich/lms-backend | e586abc44a0e74ed28da7a77f6ef31230995c84b | [
"MIT"
] | null | null | null | lms_app/v1/serializers/user_serializers.py | Etomovich/lms-backend | e586abc44a0e74ed28da7a77f6ef31230995c84b | [
"MIT"
] | 1 | 2021-06-02T00:45:56.000Z | 2021-06-02T00:45:56.000Z | lms_app/v1/serializers/user_serializers.py | Etomovich/lms-backend | e586abc44a0e74ed28da7a77f6ef31230995c84b | [
"MIT"
] | null | null | null | from flask_restplus import Namespace, fields
class UserDataModel(object):
"""Represents the user data transfer object."""
api = Namespace(
'user', description='user authentication and signup resources'
)
this_user = api.model('Register input data', {
'username': fields.String(
... | 33.4375 | 70 | 0.574299 | 2,092 | 0.97757 | 0 | 0 | 0 | 0 | 0 | 0 | 636 | 0.297196 |
0cc52afa5bda9e011a3f67aa407ce29b267af421 | 1,409 | py | Python | Unit 7 Objects/LessonQ33.1.py | ItsMrTurtle/PythonChris | 4513dea336e68f48fabf480ad87bc538a323c2cd | [
"MIT"
] | null | null | null | Unit 7 Objects/LessonQ33.1.py | ItsMrTurtle/PythonChris | 4513dea336e68f48fabf480ad87bc538a323c2cd | [
"MIT"
] | null | null | null | Unit 7 Objects/LessonQ33.1.py | ItsMrTurtle/PythonChris | 4513dea336e68f48fabf480ad87bc538a323c2cd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed May 27 18:48:24 2020
@author: Christopher Cheng
"""
class Stack(object):
def __init__ (self):
self.stack = []
def get_stack_elements(self):
return self.stack.copy()
def add_one(self, item):
self.stack.append(item)
def add_many(self,ite... | 26.092593 | 71 | 0.581973 | 1,108 | 0.786373 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.116395 |
0cc6417c3e829823797e9f3e6ad674ead279d5e9 | 2,657 | py | Python | src/data_analysis_util.py | vikramnayyar/Customer-Identification-for-Bank-Marketing | 4727f6d8997d26836ad167616a8edb4898623c39 | [
"Apache-2.0"
] | null | null | null | src/data_analysis_util.py | vikramnayyar/Customer-Identification-for-Bank-Marketing | 4727f6d8997d26836ad167616a8edb4898623c39 | [
"Apache-2.0"
] | null | null | null | src/data_analysis_util.py | vikramnayyar/Customer-Identification-for-Bank-Marketing | 4727f6d8997d26836ad167616a8edb4898623c39 | [
"Apache-2.0"
] | null | null | null | """
The script declares functions used in 'data_analysis.py'
"""
import os
import yaml
from logzero import logger
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.patches import Patch
import plotly.graph_objects as go
from utility import parse_config
config_path = "config/config.yaml"
con... | 34.064103 | 125 | 0.657132 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 663 | 0.24953 |
0cc6f68c50e68c364cd5514c50d107da2d606391 | 122 | py | Python | api/crawller/admin.py | MahsaSeifikar/tweetphus | 01b687f38365023cfaaa34739c50b0da79f0b510 | [
"MIT"
] | null | null | null | api/crawller/admin.py | MahsaSeifikar/tweetphus | 01b687f38365023cfaaa34739c50b0da79f0b510 | [
"MIT"
] | 1 | 2021-12-26T16:35:36.000Z | 2021-12-29T15:07:01.000Z | api/crawller/admin.py | MahsaSeifikar/tweetphus | 01b687f38365023cfaaa34739c50b0da79f0b510 | [
"MIT"
] | null | null | null | from django.contrib import admin
from crawller.models import User
# Register your models here.
admin.site.register(User) | 20.333333 | 32 | 0.811475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.229508 |
0cc75fc2057f1d904d4d63b853c8dc9ff11fc8ab | 987 | py | Python | featureflags/config.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | featureflags/config.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | featureflags/config.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | """Configuration is a base class that has default values that you can change
during the instance of the client class"""
from typing import Callable
BASE_URL = "https://config.feature-flags.uat.harness.io/api/1.0"
MINUTE = 60
PULL_INTERVAL = 1 * MINUTE
class Config(object):
def __init__(self, base_url: str = BA... | 25.973684 | 76 | 0.64843 | 422 | 0.427558 | 0 | 0 | 0 | 0 | 0 | 0 | 172 | 0.174265 |
0cc7dbac1b53714dc8579ed543f77deb34610c57 | 1,705 | py | Python | src/users/management/commands/populate_tables.py | pimpale/BQuest-Backend | b32833ee5053db1c47fa28f57273632eae43a5cc | [
"MIT"
] | null | null | null | src/users/management/commands/populate_tables.py | pimpale/BQuest-Backend | b32833ee5053db1c47fa28f57273632eae43a5cc | [
"MIT"
] | 51 | 2018-01-24T05:53:15.000Z | 2022-01-13T00:44:24.000Z | src/users/management/commands/populate_tables.py | pimpale/BQuest-Backend | b32833ee5053db1c47fa28f57273632eae43a5cc | [
"MIT"
] | 3 | 2020-04-22T03:21:37.000Z | 2020-12-15T22:45:52.000Z | from django.core.management.base import BaseCommand
from users.models import Major, Minor, Course
from django.db import IntegrityError
from os import path
import json
class Command(BaseCommand):
def _create_majors(self):
base_path = path.dirname(__file__)
majors_path = path.abspath(path.join(base_... | 32.788462 | 85 | 0.567742 | 1,536 | 0.90088 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.037537 |
0cc8db72c131873f18e22e999afa4a7e2c43c233 | 2,041 | py | Python | contrib/stack/stripmapStack/unpackFrame_risat_raw.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 1,133 | 2022-01-07T21:24:57.000Z | 2022-01-07T21:33:08.000Z | contrib/stack/stripmapStack/unpackFrame_risat_raw.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 276 | 2019-02-10T07:18:28.000Z | 2022-03-31T21:45:55.000Z | contrib/stack/stripmapStack/unpackFrame_risat_raw.py | vincentschut/isce2 | 1557a05b7b6a3e65abcfc32f89c982ccc9b65e3c | [
"ECL-2.0",
"Apache-2.0"
] | 235 | 2019-02-10T05:00:53.000Z | 2022-03-18T07:37:24.000Z | #!/usr/bin/env python3
import isce
from isceobj.Sensor import createSensor
import shelve
import argparse
import os
from isceobj.Util import Poly1D
from isceobj.Planet.AstronomicalHandbook import Const
from mroipac.dopiq.DopIQ import DopIQ
import copy
def cmdLineParse():
'''
Command line parser.
'''
... | 26.506494 | 108 | 0.652621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.22293 |
0cc92881b3783140afbb04ec688ee09d279aa156 | 2,794 | py | Python | distla/distla_core/distla_core/linalg/qr/test_qr_ooc.py | google/distla_core | 7f0d8ab7b847a75e0fc713627488643a8984712a | [
"Apache-2.0"
] | 2 | 2021-12-19T21:17:06.000Z | 2021-12-25T09:19:47.000Z | distla/distla_core/distla_core/linalg/qr/test_qr_ooc.py | google/distla_core | 7f0d8ab7b847a75e0fc713627488643a8984712a | [
"Apache-2.0"
] | null | null | null | distla/distla_core/distla_core/linalg/qr/test_qr_ooc.py | google/distla_core | 7f0d8ab7b847a75e0fc713627488643a8984712a | [
"Apache-2.0"
] | 1 | 2021-12-25T09:19:56.000Z | 2021-12-25T09:19:56.000Z | """Tests for qr.py."""
from jax import lax
import jax.numpy as jnp
import numpy as np
import pytest
import tempfile
from distla_core.linalg.utils import testutils
from distla_core.linalg.qr import qr_ooc
from distla_core.utils import pops
DTYPE = jnp.float32
seeds = [0, 1]
flags = [True, False]
def _dephase_qr(R,... | 30.703297 | 78 | 0.700787 | 0 | 0 | 0 | 0 | 2,094 | 0.749463 | 0 | 0 | 403 | 0.144238 |
0cca1b15bf096080117912090cc7cfaa4cb29eca | 7,940 | py | Python | modules/preprocessing/text/NeMo/nemo_text_processing/text_normalization/ar/taggers/cardinal.py | serkhanekarim/AI | 0a13880ae8e608cd00fa819dc590097abdb7ae6e | [
"Apache-2.0"
] | null | null | null | modules/preprocessing/text/NeMo/nemo_text_processing/text_normalization/ar/taggers/cardinal.py | serkhanekarim/AI | 0a13880ae8e608cd00fa819dc590097abdb7ae6e | [
"Apache-2.0"
] | null | null | null | modules/preprocessing/text/NeMo/nemo_text_processing/text_normalization/ar/taggers/cardinal.py | serkhanekarim/AI | 0a13880ae8e608cd00fa819dc590097abdb7ae6e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
# Copyright 2015 and onwards Google, Inc.
#
# 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/license... | 43.387978 | 118 | 0.639924 | 6,791 | 0.85529 | 0 | 0 | 0 | 0 | 0 | 0 | 1,843 | 0.232116 |
0cca7a33169b15c0dca26a3d1d4121500e7fe51e | 7,735 | py | Python | robot.py | dragonrobotics/2018-PowerUp | 0fb6be22420b1488ca3d6abb04588e8564d768b9 | [
"MIT"
] | 2 | 2018-02-08T23:29:21.000Z | 2018-12-27T22:45:12.000Z | robot.py | dragonrobotics/2018-PowerUp | 0fb6be22420b1488ca3d6abb04588e8564d768b9 | [
"MIT"
] | 2 | 2018-02-10T20:25:16.000Z | 2018-02-20T12:47:33.000Z | robot.py | dragonrobotics/2018-PowerUp | 0fb6be22420b1488ca3d6abb04588e8564d768b9 | [
"MIT"
] | 8 | 2018-01-15T14:53:52.000Z | 2018-02-14T22:34:30.000Z | import wpilib
import constants
import swerve
import lift
import winch
import sys
from teleop import Teleop
from autonomous.baseline_simple import Autonomous
from sensors.imu import IMU
def log(src, msg):
try:
full_msg = "[{:.3f}] [{}] {}".format(
wpilib.Timer.getMatchTime(), str(src), str(msg)... | 31.315789 | 95 | 0.576083 | 6,807 | 0.880026 | 0 | 0 | 0 | 0 | 0 | 0 | 1,483 | 0.191726 |
0ccb7361200b302e98746fb913273e875a9c713b | 593 | py | Python | 2019/06-hsctf/web-networked/solve.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 25 | 2019-03-06T11:55:56.000Z | 2021-05-21T22:07:14.000Z | 2019/06-hsctf/web-networked/solve.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 1 | 2020-06-25T07:27:15.000Z | 2020-06-25T07:27:15.000Z | 2019/06-hsctf/web-networked/solve.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 1 | 2019-02-14T00:42:28.000Z | 2019-02-14T00:42:28.000Z | import requests
text = "0123456789abcdefghijklmnopqrstuvwxyz_}"
flag = "hsctf{"
for _ in range(30):
time = [0.1 for _ in range(38)]
for _ in range(5):
for i in range(38):
payload = {"password": flag + text[i]}
r = requests.post(
"https://networked-password.we... | 21.962963 | 77 | 0.563238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.22597 |
0ccc1f35f3830db92996f5a342365046d1d2adc7 | 47,367 | py | Python | gda-public/multidim/covertree.py | drkostas/tda_examples | 3fdef4f890ced14b8e3207bd9393eaf262dd0c24 | [
"MIT"
] | 1 | 2021-12-22T14:29:40.000Z | 2021-12-22T14:29:40.000Z | gda-public/multidim/covertree.py | drkostas/tda_examples | 3fdef4f890ced14b8e3207bd9393eaf262dd0c24 | [
"MIT"
] | null | null | null | gda-public/multidim/covertree.py | drkostas/tda_examples | 3fdef4f890ced14b8e3207bd9393eaf262dd0c24 | [
"MIT"
] | null | null | null | r"""This module contains the essential classes for the "Cover-tree with
friends" algorithm, namely:
- :class:`CoverTree`
- :class:`CoverLevel`
This module also defines the constants
- :code:`ratio_Ag` :math:`=\sqrt{2} - 1=0.414\ldots`, the inverse of the silver ratio
- :code:`ratio_Au` :math:`=\frac{... | 40.623499 | 164 | 0.583508 | 45,898 | 0.968987 | 3,357 | 0.070872 | 0 | 0 | 0 | 0 | 24,243 | 0.511812 |
0ccc2e5ca0664e29a1337110f68367598882b29e | 3,936 | py | Python | azure-iot-device/azure/iot/device/iothub/models/message.py | elhorton/azure-iot-sdk-python | 484b804a64c245bd92930c13b970ff86f868b5fe | [
"MIT"
] | 1 | 2019-02-06T06:52:44.000Z | 2019-02-06T06:52:44.000Z | azure-iot-device/azure/iot/device/iothub/models/message.py | elhorton/azure-iot-sdk-python | 484b804a64c245bd92930c13b970ff86f868b5fe | [
"MIT"
] | null | null | null | azure-iot-device/azure/iot/device/iothub/models/message.py | elhorton/azure-iot-sdk-python | 484b804a64c245bd92930c13b970ff86f868b5fe | [
"MIT"
] | 1 | 2019-12-17T17:50:43.000Z | 2019-12-17T17:50:43.000Z | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""This mo... | 50.461538 | 298 | 0.649644 | 3,432 | 0.871951 | 0 | 0 | 85 | 0.021596 | 0 | 0 | 2,913 | 0.740091 |
0ccd4f9fbf2b5d4dda1cc40e475be33aa9ef28bc | 320 | py | Python | scraping/test001.py | flaviogf/Exemplos | fc666429f6e90c388e201fb7b7d5801e3c25bd25 | [
"MIT"
] | null | null | null | scraping/test001.py | flaviogf/Exemplos | fc666429f6e90c388e201fb7b7d5801e3c25bd25 | [
"MIT"
] | 5 | 2019-12-29T04:58:10.000Z | 2021-03-11T04:35:15.000Z | scraping/test001.py | flaviogf/Exemplos | fc666429f6e90c388e201fb7b7d5801e3c25bd25 | [
"MIT"
] | null | null | null | import pandas
import requests
with open('avengers.csv', 'w') as file:
file_url = 'https://raw.githubusercontent.com/fivethirtyeight/data/master/avengers/avengers.csv'
response = requests.get(file_url)
file.write(response.text)
with open('avengers.csv', 'r') as file:
data_frame = pandas.read_csv(file)
| 29.090909 | 100 | 0.73125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.371875 |
0ccde3d4f64a774d9d8fa84b6c6fe3d0ad69c35d | 3,997 | py | Python | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'custominvocationcutdurationdialog.ui'
#
# Created by: PyQt4 UI code generator 4.11.2
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeErro... | 60.560606 | 138 | 0.788341 | 3,317 | 0.829872 | 0 | 0 | 0 | 0 | 0 | 0 | 750 | 0.187641 |
0ccf64808d3042c572ef4543702896d84041599e | 1,393 | py | Python | benchmarks/pytorch_alexnet_inference.py | d3dave/python-macrobenchmarks | ee52cce1af120f543ce3e2f6bc99225784b59506 | [
"MIT"
] | 20 | 2020-10-20T20:55:51.000Z | 2021-11-18T16:26:49.000Z | benchmarks/pytorch_alexnet_inference.py | d3dave/python-macrobenchmarks | ee52cce1af120f543ce3e2f6bc99225784b59506 | [
"MIT"
] | 2 | 2021-11-17T18:37:27.000Z | 2022-03-22T20:26:24.000Z | benchmarks/pytorch_alexnet_inference.py | d3dave/python-macrobenchmarks | ee52cce1af120f543ce3e2f6bc99225784b59506 | [
"MIT"
] | 4 | 2020-10-30T15:09:37.000Z | 2022-02-12T00:12:12.000Z | import json
import time
import torch
import urllib
import sys
if __name__ == "__main__":
start = time.time()
model = torch.hub.load('pytorch/vision:v0.6.0', 'alexnet', pretrained=True)
# assert time.time() - start < 3, "looks like we just did the first-time download, run this benchmark again to get a clean... | 31.659091 | 131 | 0.613065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.207466 |
0cd1d7ce809f4555127103b9f2ebc53cd22fdca6 | 2,885 | py | Python | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | # class Circle(object):
# pi = 3.14
# # O círculo é instanciado com um raio (o padrão é 1)
# def __init__(self, radius=1):
# self.radius = radius
# # Método de cálculo da área. Observe o uso de si mesmo.
# def area(self):
# return self.radius * self.radius * Circle.pi
# # Mét... | 20.316901 | 64 | 0.533449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,732 | 0.939154 |
0cd346f1de289a9e93d3b25b5635b78a4192c096 | 1,126 | py | Python | gen-raw-logs.py | lightoyou/grapl | 77488059891091e5656254ee15efef038a1b46a7 | [
"Apache-2.0"
] | null | null | null | gen-raw-logs.py | lightoyou/grapl | 77488059891091e5656254ee15efef038a1b46a7 | [
"Apache-2.0"
] | null | null | null | gen-raw-logs.py | lightoyou/grapl | 77488059891091e5656254ee15efef038a1b46a7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
try:
from typing import Any, Dict, Union, Optional
except:
pass
import time
import string
import boto3
import random
import zstd
import sys
def rand_str(l):
# type: (int) -> str
return ''.join(random.choice(string.ascii_uppercase + string.digits)
for _ in ran... | 22.078431 | 72 | 0.571936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.137655 |
0cd35d400b8ba8d38cccab4e5289309cd18ed0ce | 2,773 | py | Python | src/bot/lib/economy/economy.py | rdunc/rybot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | 1 | 2016-01-11T02:10:05.000Z | 2016-01-11T02:10:05.000Z | src/bot/lib/economy/economy.py | rdunc/RyBot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | null | null | null | src/bot/lib/economy/economy.py | rdunc/RyBot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import requests, json, threading, sys
import collections, os, time
from bot.lib.economy import EconomyInit
from bot.lib.core.benchmark import Benchmark
from bot.lib.core.log import Log
from bot.helpers.color_helper import ColorHelper
from bot.helpers.rybot_helper import RyBotHelper
fr... | 39.056338 | 141 | 0.582402 | 2,418 | 0.87198 | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 0.174901 |
0cd6ed4cd564901c9d6e6419361c7b61b1d56dfb | 120 | py | Python | CF_Functions/Arcade/WordPower.py | glickmac/Misc_Scripts | 7e18be79b84a309a1e79935f4470ea915141938d | [
"MIT"
] | null | null | null | CF_Functions/Arcade/WordPower.py | glickmac/Misc_Scripts | 7e18be79b84a309a1e79935f4470ea915141938d | [
"MIT"
] | null | null | null | CF_Functions/Arcade/WordPower.py | glickmac/Misc_Scripts | 7e18be79b84a309a1e79935f4470ea915141938d | [
"MIT"
] | 1 | 2020-07-30T17:37:12.000Z | 2020-07-30T17:37:12.000Z | def wordPower(word):
num = dict(zip(string.ascii_lowercase, range(1,27)))
return sum([num[ch] for ch in word])
| 24 | 56 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0cd7b71bf7de36ad8722f58dc56d94db5fb81535 | 827 | py | Python | python/mapper.py | qoofyk/zipper | c1d77448f8d479f9ef4bf785d49cf2b41da09130 | [
"BSD-3-Clause"
] | null | null | null | python/mapper.py | qoofyk/zipper | c1d77448f8d479f9ef4bf785d49cf2b41da09130 | [
"BSD-3-Clause"
] | null | null | null | python/mapper.py | qoofyk/zipper | c1d77448f8d479f9ef4bf785d49cf2b41da09130 | [
"BSD-3-Clause"
] | null | null | null | import sys
import math
def contiguous_mapper(mpi_rank, mpi_size, num_endpoints):
group_size = math.ceil(mpi_size/num_endpoints) # round up
local_id = mpi_rank % group_size
group_id = mpi_rank // group_size
return (group_id, local_id)
def generate_endpoint_file(endpoint_list, mpi_size, mapper_func):
... | 35.956522 | 79 | 0.71705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.229746 |
0cd87ef313939da59162ef6b202deb04d9ca957b | 7,079 | py | Python | src/deepcover.py | nce11/deepcover | 129488e3593f8d69e352be1e613f44480e4033e6 | [
"BSD-3-Clause"
] | 25 | 2018-03-14T21:23:00.000Z | 2021-11-22T14:06:20.000Z | src/deepcover.py | nce11/deepcover | 129488e3593f8d69e352be1e613f44480e4033e6 | [
"BSD-3-Clause"
] | 1 | 2022-03-13T07:15:15.000Z | 2022-03-14T10:29:50.000Z | src/deepcover.py | nce11/deepcover | 129488e3593f8d69e352be1e613f44480e4033e6 | [
"BSD-3-Clause"
] | 18 | 2018-03-14T19:20:45.000Z | 2022-02-16T18:33:10.000Z |
from keras.preprocessing import image
from keras.applications import vgg16
from keras.applications.vgg16 import VGG16
from keras.applications import inception_v3, mobilenet, xception
from keras.models import load_model
import matplotlib.pyplot as plt
import csv
import argparse
import os
import numpy as np
from utils... | 44.24375 | 114 | 0.676508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,129 | 0.300749 |
0cdb931bc3d4d0011e0c24642dc040bbe2b51af1 | 8,924 | py | Python | phigaro/cli/batch.py | bobeobibo/phigaro | 342a3454bb5324426b25feb4a4d1f640b58bf8f8 | [
"MIT"
] | 31 | 2019-03-06T14:33:37.000Z | 2022-03-08T07:16:07.000Z | phigaro/cli/batch.py | bobeobibo/phigaro | 342a3454bb5324426b25feb4a4d1f640b58bf8f8 | [
"MIT"
] | 27 | 2019-05-17T05:06:58.000Z | 2022-03-27T00:38:56.000Z | phigaro/cli/batch.py | bobeobibo/phigaro | 342a3454bb5324426b25feb4a4d1f640b58bf8f8 | [
"MIT"
] | 12 | 2017-08-23T12:48:38.000Z | 2021-06-24T00:57:22.000Z | from __future__ import absolute_import
import argparse
import logging
import multiprocessing
import os
import sys
import uuid
from os.path import join, exists
import yaml
from phigaro.context import Context
from phigaro.batch.runner import run_tasks_chain
from phigaro.batch.task.path import sample_name
from phigaro.... | 33.174721 | 296 | 0.61766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,727 | 0.30558 |
0cdb9744480da6f8e1b4899b7fcf04b7238e340b | 1,551 | py | Python | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/decision-tree | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | null | null | null | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/decision-tree | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | 1 | 2019-12-29T13:49:52.000Z | 2019-12-29T13:49:52.000Z | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/MachineLerningFramework | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | null | null | null | import math
RangeType = 'Range'
BinaryType = 'Binary'
class Hipothesis:
def __init__(self, id, name, p):
self.id = id
self.name = name
self.p = p
class Attribute:
def __init__(self, id, name, question, _type):
self.id = id
self.name = name
self.question = quest... | 23.149254 | 54 | 0.588008 | 983 | 0.633785 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.009671 |
0cdc773a241a8d2d5331293406b95caeb6731f44 | 926 | py | Python | tests/test_load_bin_log.py | bols-blue-org/pid_evaluation | af210f2ef7ca49681ff41f4531cfcbd83d70aca0 | [
"MIT"
] | 1 | 2020-08-27T06:30:53.000Z | 2020-08-27T06:30:53.000Z | tests/test_load_bin_log.py | bols-blue-org/ape | af210f2ef7ca49681ff41f4531cfcbd83d70aca0 | [
"MIT"
] | null | null | null | tests/test_load_bin_log.py | bols-blue-org/ape | af210f2ef7ca49681ff41f4531cfcbd83d70aca0 | [
"MIT"
] | null | null | null | import unittest
from ape.load_bin_log import LoadBinLog
class LoadBinTestCase(unittest.TestCase):
def test_LoadBinLogAll(self):
data = LoadBinLog("../tests/log_0_2020-5-1-14-53-42.bin")
self.assertGreater(len(data), 0, "no data")
def test_LoadBinLogString(self):
data = LoadBinLog("..... | 31.931034 | 92 | 0.637149 | 818 | 0.883369 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.259179 |
0cdcd31b1d541c0b2fc7fa87f9fe6a1fb877291b | 4,997 | py | Python | rdsslib/kinesis/client.py | JiscSD/rdss-shared-libraries | cf07cad3f176ef8be1410fc29b240fb4791e607a | [
"Apache-2.0"
] | null | null | null | rdsslib/kinesis/client.py | JiscSD/rdss-shared-libraries | cf07cad3f176ef8be1410fc29b240fb4791e607a | [
"Apache-2.0"
] | 4 | 2018-02-15T12:32:26.000Z | 2018-03-06T16:33:34.000Z | rdsslib/kinesis/client.py | JiscSD/rdss-shared-libraries | cf07cad3f176ef8be1410fc29b240fb4791e607a | [
"Apache-2.0"
] | 1 | 2018-03-13T19:38:54.000Z | 2018-03-13T19:38:54.000Z | import json
import logging
from .errors import MaxRetriesExceededException, DecoratorApplyException
MAX_ATTEMPTS = 6
class KinesisClient(object):
def __init__(self, writer, reader):
"""
Writes and reads messages to and from Kinesis streams
:param writer: handles writing of payloads to K... | 39.346457 | 79 | 0.626976 | 4,871 | 0.974785 | 0 | 0 | 0 | 0 | 0 | 0 | 2,378 | 0.475886 |
0cdd0af2f9cdd4f1682dfeb1a35ec8ea6569dc39 | 516 | py | Python | offer/10-qing-wa-tiao-tai-jie-wen-ti-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 2 | 2021-03-14T11:38:26.000Z | 2021-03-14T11:38:30.000Z | offer/10-qing-wa-tiao-tai-jie-wen-ti-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | null | null | null | offer/10-qing-wa-tiao-tai-jie-wen-ti-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 1 | 2022-01-17T19:33:23.000Z | 2022-01-17T19:33:23.000Z | '''
剑指 Offer 10- II. 青蛙跳台阶问题
一只青蛙一次可以跳上1级台阶,也可以跳上2级台阶。求该青蛙跳上一个 n 级的台阶总共有多少种跳法。
答案需要取模 1e9+7(1000000007),如计算初始结果为:1000000008,请返回 1。
提示:
0 <= n <= 100
'''
'''
思路:递归
'''
class Solution:
def numWays(self, n: int) -> int:
if n == 0:
return 1
if n == 1:
return 1
if n ... | 15.636364 | 71 | 0.560078 | 245 | 0.358712 | 0 | 0 | 0 | 0 | 0 | 0 | 336 | 0.491947 |
0cddc6fcdac1a04a9f2296ecc74335e532a712c0 | 2,624 | py | Python | recipes/libmount/all/conanfile.py | KristianJerpetjon/conan-center-index | f368200c30fb3be44862e2e709be990d0db4d30e | [
"MIT"
] | null | null | null | recipes/libmount/all/conanfile.py | KristianJerpetjon/conan-center-index | f368200c30fb3be44862e2e709be990d0db4d30e | [
"MIT"
] | 1 | 2019-11-26T10:55:31.000Z | 2019-11-26T10:55:31.000Z | recipes/libmount/all/conanfile.py | KristianJerpetjon/conan-center-index | f368200c30fb3be44862e2e709be990d0db4d30e | [
"MIT"
] | 1 | 2019-10-31T19:29:14.000Z | 2019-10-31T19:29:14.000Z | from conans import ConanFile, tools, AutoToolsBuildEnvironment
from conans.errors import ConanInvalidConfiguration
import os
class LibmountConan(ConanFile):
name = "libmount"
description = "The libmount library is used to parse /etc/fstab, /etc/mtab and /proc/self/mountinfo files, manage the mtab file, evalua... | 43.733333 | 161 | 0.651296 | 2,496 | 0.95122 | 0 | 0 | 0 | 0 | 0 | 0 | 707 | 0.269436 |
0cde288694905dadb83458256a681e9a26cd9df7 | 36,246 | py | Python | code/tmp_rtrip/nntplib.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 24 | 2018-01-23T05:28:40.000Z | 2021-04-13T20:52:59.000Z | code/tmp_rtrip/nntplib.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 17 | 2017-12-21T18:32:31.000Z | 2018-12-18T17:09:50.000Z | code/tmp_rtrip/nntplib.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | null | null | null | """An NNTP client class based on:
- RFC 977: Network News Transfer Protocol
- RFC 2980: Common NNTP Extensions
- RFC 3977: Network News Transfer Protocol (version 2)
Example:
>>> from nntplib import NNTP
>>> s = NNTP('news')
>>> resp, count, first, last, name = s.group('comp.lang.python')
>>> print('Group', name, 'ha... | 36.20979 | 89 | 0.580202 | 28,026 | 0.773216 | 0 | 0 | 0 | 0 | 0 | 0 | 15,012 | 0.41417 |
0cde5c372756830b141e6816281e99f572d9eff3 | 3,463 | py | Python | tests/required_with_test.py | roypeters/spotlight | f23818cf7b49aa7a31200c1945ebc2d91656156e | [
"MIT"
] | 9 | 2019-03-26T13:21:16.000Z | 2021-03-21T08:55:49.000Z | tests/required_with_test.py | roypeters/spotlight | f23818cf7b49aa7a31200c1945ebc2d91656156e | [
"MIT"
] | 7 | 2019-03-28T17:32:03.000Z | 2021-09-24T13:17:32.000Z | tests/required_with_test.py | roypeters/spotlight | f23818cf7b49aa7a31200c1945ebc2d91656156e | [
"MIT"
] | 4 | 2019-03-30T13:28:22.000Z | 2020-06-15T13:15:44.000Z | from src.spotlight.errors import REQUIRED_WITH_ERROR
from .validator_test import ValidatorTest
class RequiredWithTest(ValidatorTest):
def setUp(self):
self.other_field = "test1"
self.field = "test2"
self.required_with_error = REQUIRED_WITH_ERROR.format(
field=self.field, other=... | 32.064815 | 86 | 0.626047 | 3,365 | 0.971701 | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 0.16171 |
0cde6e9d59bff904867397a498cf0cce96687bf3 | 3,194 | py | Python | default-approach/data-collection/harpers-data/scraper_scripts/get-harpers-links.py | the-browser/recommending-interesting-writing | 9ff4771d3f437d33c26d2f306e393b5a90a04878 | [
"MIT"
] | 5 | 2020-09-17T17:56:21.000Z | 2021-11-03T02:40:27.000Z | default-approach/data-collection/harpers-data/scraper_scripts/get-harpers-links.py | the-browser/recommending-interesting-writing | 9ff4771d3f437d33c26d2f306e393b5a90a04878 | [
"MIT"
] | null | null | null | default-approach/data-collection/harpers-data/scraper_scripts/get-harpers-links.py | the-browser/recommending-interesting-writing | 9ff4771d3f437d33c26d2f306e393b5a90a04878 | [
"MIT"
] | 1 | 2020-11-01T11:37:38.000Z | 2020-11-01T11:37:38.000Z | BASE_URL="https://harpers.org/sections/readings/page/"
N_ARTICLE_LINK_PAGES = 50
OUTPUT_FILE = 'harpers-later-urls.json'
WORKER_THREADS = 32
import json
import datetime
import dateutil.parser
from dataclasses import dataclass
from dataclasses_json import dataclass_json
from datetime import datetime
from newspaper imp... | 31.313725 | 114 | 0.60551 | 2,034 | 0.636819 | 0 | 0 | 85 | 0.026612 | 0 | 0 | 369 | 0.115529 |
0cdee741020f9cadb35d114ce192b7140ac463d7 | 8,711 | py | Python | rulm/models/neural_net/encoder_only.py | IlyaGusev/rulm | 4e78a495eba6cd6ea1fea839463c8145ed7051f2 | [
"Apache-2.0"
] | null | null | null | rulm/models/neural_net/encoder_only.py | IlyaGusev/rulm | 4e78a495eba6cd6ea1fea839463c8145ed7051f2 | [
"Apache-2.0"
] | null | null | null | rulm/models/neural_net/encoder_only.py | IlyaGusev/rulm | 4e78a495eba6cd6ea1fea839463c8145ed7051f2 | [
"Apache-2.0"
] | null | null | null | from typing import Dict
import numpy as np
import torch
from torch.nn.functional import linear, log_softmax, embedding
from torch.nn import Dropout, LogSoftmax, NLLLoss
from allennlp.common import Params
from allennlp.models.model import Model
from allennlp.data.vocabulary import Vocabulary, DEFAULT_PADDING_TOKEN
from... | 44.218274 | 105 | 0.630926 | 7,844 | 0.900471 | 0 | 0 | 6,951 | 0.797957 | 0 | 0 | 408 | 0.046837 |
0cdf83ec2ee6735ac3ecbd989380ce0f87917a5d | 102 | py | Python | api/queries/models.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 3 | 2019-05-15T09:30:39.000Z | 2020-04-22T16:14:23.000Z | api/queries/models.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 85 | 2019-04-24T10:39:35.000Z | 2022-03-21T14:52:12.000Z | api/queries/models.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 1 | 2021-01-17T11:12:19.000Z | 2021-01-17T11:12:19.000Z | from api.cases.models import Case
class Query(Case):
"""
Base query class
"""
pass
| 10.2 | 33 | 0.588235 | 65 | 0.637255 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.313725 |