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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
577c1794e9fcb7bdccc6a2a9158ce5b0867f7053 | 4,230 | py | Python | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 174 | 2018-05-30T21:14:50.000Z | 2022-03-25T07:59:37.000Z | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 5 | 2019-08-10T03:22:02.000Z | 2021-07-12T20:31:17.000Z | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 53 | 2018-04-27T05:26:35.000Z | 2022-03-25T07:59:37.000Z | import pandas as pd
import numpy as np
print(pd.__version__)
# 1.0.0
print(pd.DataFrame.agg is pd.DataFrame.aggregate)
# True
df = pd.DataFrame({'A': [0, 1, 2], 'B': [3, 4, 5]})
print(df)
# A B
# 0 0 3
# 1 1 4
# 2 2 5
print(df.agg(['sum', 'mean', 'min', 'max']))
# A B
# sum 3.0 12.0
# mean ... | 18.883929 | 77 | 0.513002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,762 | 0.652955 |
577c3969fe84dd6102e296297a763c6f7d167111 | 4,016 | py | Python | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
from flask_user import UserMixin
from itsdangerous import (TimedJSONWebSignatureSerializer as
Serializer, BadSignature, SignatureExpired)
db = SQLAlchemy()
class User(db.Model, UserMixin):
__tablename__ = 'user'
id = db.Column(db.Integer, prima... | 35.539823 | 89 | 0.677042 | 3,768 | 0.938247 | 0 | 0 | 361 | 0.08989 | 0 | 0 | 433 | 0.107819 |
577d66ecbe1bdf71f6e1d9db706fc825c2daa640 | 6,324 | py | Python | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | 3 | 2020-10-17T14:08:57.000Z | 2021-07-08T03:30:52.000Z | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | null | null | null | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | 2 | 2021-01-07T15:12:38.000Z | 2021-04-01T19:11:50.000Z | import json
from urllib.parse import urlencode
import requests
from bs4 import BeautifulSoup
from .api import BitflyerApi
class BitflyerApiWithWebOrder(BitflyerApi):
def __init__(self, ccxt, login_id, password, account_id,
device_id=None, device_token=None):
super().__init__(ccxt)
... | 31.778894 | 79 | 0.542062 | 6,194 | 0.979443 | 0 | 0 | 0 | 0 | 0 | 0 | 1,345 | 0.212682 |
577f6cf385c7b053dbf2eea92626a248674a8677 | 2,969 | py | Python | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | 8 | 2022-02-14T07:10:14.000Z | 2022-03-23T05:18:43.000Z | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | null | null | null | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | 1 | 2022-02-17T06:21:23.000Z | 2022-02-17T06:21:23.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : train.py
@Contact : 3289218653@qq.com
@License : (C)Copyright 2021-2022 PowerLZY
@Modify Time @Author @Version @Desciption
------------ ------- -------- -----------
2021-10-04 15:03 PowerLZY&yuan_mes ... | 33.359551 | 144 | 0.633883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,057 | 0.345087 |
5782896b4d6e5c85e7c0c81d31dbd8cff1438078 | 453 | py | Python | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | 1 | 2021-12-03T15:14:36.000Z | 2021-12-03T15:14:36.000Z | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | 2 | 2021-12-03T16:10:14.000Z | 2021-12-03T18:09:33.000Z | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | null | null | null | from enum import Enum
from typing import Tuple, Type, Optional
class Mode(Enum):
SIMPLE = "s"
EXTENDED = "e"
def __str__(self) -> str:
return self.value
class Header(Enum):
PATH = "Path"
NAME = "Name"
SIZE = "Size"
MODIFIED = "Modified"
ACCESSED = "Accessed"
INPUT = "Inp... | 16.777778 | 47 | 0.602649 | 334 | 0.737307 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.130243 |
5782a0f511913dc91413d535eac081c7bb757a0f | 6,190 | py | Python | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | 2 | 2021-06-29T11:32:59.000Z | 2021-06-30T09:11:24.000Z | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | null | null | null | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# (c) 2021 Martin Kistler
from abc import ABC, abstractmethod
from enum import Enum
from os import linesep
from twisted.internet import reactor
from twisted.internet.error import ConnectionDone
from twisted.internet.protocol import Factory, Protocol
from twisted.logger import Logger
from twiste... | 30.79602 | 121 | 0.664297 | 5,639 | 0.910985 | 0 | 0 | 1,208 | 0.195153 | 0 | 0 | 796 | 0.128595 |
5782dd6002965788cc0b91a4b76d21a40b2045ce | 279 | py | Python | airflow-materials/demo/mnt/dags/pipeline/process.py | reginold/airflow-handson | 2ac150955f3191f2acaa88643484bb0a7e4f10ea | [
"Apache-2.0"
] | null | null | null | airflow-materials/demo/mnt/dags/pipeline/process.py | reginold/airflow-handson | 2ac150955f3191f2acaa88643484bb0a7e4f10ea | [
"Apache-2.0"
] | null | null | null | airflow-materials/demo/mnt/dags/pipeline/process.py | reginold/airflow-handson | 2ac150955f3191f2acaa88643484bb0a7e4f10ea | [
"Apache-2.0"
] | null | null | null | def second_task(**context):
print("This is ----------- task 2")
return "hoge======"
def third_task(**context):
output = context["task_instance"].xcom_pull(task_ids="python_task_2")
print("This is ----------- task 3")
return "This is the result : " + output
| 27.9 | 73 | 0.594982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.433692 |
578339eb7a9855dc70e1449145cbddebafa88983 | 1,803 | py | Python | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | """ MARKDOWN
---
YamlDesc: CONTENT-ARTICLE
Title: python builtin class attributes
MetaDescription: python object oriented programming class builtin attributes __doc__, __name__, __module__, __bases__ example code, tutorials
MetaKeywords: python object oriented programming class builtin attributes __doc__, __name__, __m... | 30.05 | 141 | 0.709373 | 464 | 0.257349 | 0 | 0 | 0 | 0 | 0 | 0 | 1,452 | 0.805324 |
57844212fa28ebcdefb93bfed459606ee05dd39b | 2,950 | py | Python | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | from flask import Blueprint, render_template,redirect,url_for,request,flash,make_response
from flask import current_app as app
from flask_login import (
LoginManager,
current_user,
login_required,
login_user,
logout_user,
UserMixin,
)
from ..models import User, db
from ..security import hash_str... | 43.382353 | 124 | 0.557288 | 0 | 0 | 0 | 0 | 2,439 | 0.82678 | 0 | 0 | 489 | 0.165763 |
57855a5d43bc96be7a4767d1b460ba7bd929c017 | 2,072 | py | Python | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import time
from math import atan2, degrees
import board
import busio
import adafruit_mpu6050
class GY521_MPU6050():
def __init__(self, id=None, address=0x68) -> None:
self.id_sensor = id
self.i2c = busio.I2C(board.SCL, board.SDA)
self.mpu = adafruit_mpu60... | 28 | 153 | 0.64527 | 1,744 | 0.841699 | 0 | 0 | 0 | 0 | 0 | 0 | 392 | 0.189189 |
5785a172941ebdf8c77fe0b87766c3f3223d087b | 1,832 | py | Python | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | 2 | 2017-12-14T16:41:59.000Z | 2020-10-16T17:51:27.000Z | #!/usr/bin/env python
# -*- coding: Latin-1 -*-
"""
@file TaxisPerEdge.py
@author Sascha Krieg
@author Daniel Krajzewicz
@author Michael Behrisch
@date 2008-04-08
@version $Id$
Counts for every edge in the given FCD-file the number of Taxis which used this edge.
After that this information can be visualized w... | 26.941176 | 95 | 0.674672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,059 | 0.578057 |
5785e6a036807a5d9394d69f5f7eaf543965d731 | 879 | py | Python | Tree/maxDepth.py | konantian/LeetCode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | 2 | 2018-06-02T03:57:20.000Z | 2018-10-20T22:15:17.000Z | Tree/maxDepth.py | konantian/leetcode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | null | null | null | Tree/maxDepth.py | konantian/leetcode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | 1 | 2019-01-31T05:17:19.000Z | 2019-01-31T05:17:19.000Z | '''
Source : https://leetcode.com/problems/maximum-depth-of-binary-tree/
Author : Yuan Wang
Date : 2018-07-21
/**********************************************************************************
*Given a binary tree, find its maximum depth.
*
*The maximum depth is the number of nodes along the longest path from the ... | 21.975 | 84 | 0.544937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 0.750853 |
57872eecc46c7a0d72ec8a778e7292de65dabc9e | 6,358 | py | Python | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 154 | 2019-04-18T04:46:45.000Z | 2022-03-23T21:21:50.000Z | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 406 | 2016-01-08T22:42:59.000Z | 2019-01-31T17:07:39.000Z | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 38 | 2016-05-29T16:50:40.000Z | 2018-12-15T02:53:42.000Z | import os
import re
from cli.mmt import MMT_HOME_DIR, MMT_LIB_DIR, MMT_BIN_DIR, MMT_JAR, MMT_PLUGINS_JARS
from cli.utils import osutils
def __get_java_version():
try:
stdout, stderr = osutils.shell_exec(['java', '-version'])
java_output = stdout + '\n' + stderr
for line in java_output.sp... | 37.845238 | 120 | 0.617332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,610 | 0.253224 |
57883f6ad7f708a53fa8b719d4d89b28c98e01a8 | 2,497 | py | Python | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | 1 | 2020-10-20T02:33:50.000Z | 2020-10-20T02:33:50.000Z | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | null | null | null | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | null | null | null | #AUTHOR : HAMORA HADI
"""
You have been given a stack of documents that have already been processed and some that have not.
Your task is to classify these documents into one of eight categories: [1,2,3,...8].
You look at the specifications on what a document must contain and are baffled by the jargon.
However... | 31.607595 | 133 | 0.635162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,188 | 0.475771 |
57885b1f14f79ac4171cf51a11ef29a2c3dc1503 | 4,232 | py | Python | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | 14 | 2021-11-26T14:43:25.000Z | 2022-03-22T00:39:17.000Z | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | """ generates lists of SARS-CoV-2 samples which occurred before a particular date
Also generates a dictionary of reference compressed sequences
And a subset of these
Together, these can be passed to a ram_persistence object which
can be used instead of an fn3persistence object to test the performance of PCA, or for o... | 36.8 | 127 | 0.756144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,987 | 0.469518 |
5788ff69ca8306377b664e4a0c3f2b102ca5c7c0 | 7,476 | py | Python | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 12 | 2019-10-12T03:10:17.000Z | 2021-05-05T04:18:49.000Z | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 1 | 2022-02-07T10:55:11.000Z | 2022-02-26T00:27:31.000Z | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 1 | 2019-10-18T21:50:32.000Z | 2019-10-18T21:50:32.000Z | import os
import re
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
# Assign labels used in eep conversion
eep_params = dict(
age = 'Age (yrs)',
hydrogen_lum = 'L_H',
lum = 'Log L',
logg = 'Log g',
log_teff = 'Log T',
core_hydrogen_frac = 'X_core', # must be added
... | 32.224138 | 80 | 0.651284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,525 | 0.471509 |
57891dccfc7a6660f1ab82ce9811e218955d5cf9 | 685 | py | Python | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | from com.vividsolutions.jts.io import WKTReader, WKTWriter
from geoscript.util import deprecated
def readWKT(wkt):
"""
Constructs a geometry from Well Known Text.
*wkt* is the Well Known Text string representing the geometry as described by http://en.wikipedia.org/wiki/Well-known_text.
>>> readWKT('POINT (1... | 20.757576 | 125 | 0.683212 | 0 | 0 | 0 | 0 | 80 | 0.116788 | 0 | 0 | 425 | 0.620438 |
578b06c44ad4120f5203622c4930a21961e766fa | 1,053 | py | Python | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | null | null | null | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | 1 | 2021-09-01T15:21:10.000Z | 2021-09-01T15:21:10.000Z | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | null | null | null | import os
import dj_database_url
import dotenv
from .base import BASE_DIR
env = BASE_DIR / '.env'
dotenv.read_dotenv(env)
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = False
ALLOWED_HOSTS = ["multiple-vendor-e-commerce.herokuapp.com"]
# Database
# https://docs.djangoproject.com/en/3.... | 19.5 | 65 | 0.750237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 513 | 0.487179 |
578c743bedee8f67d9035661125837e42bfc1a81 | 638 | py | Python | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | null | null | null | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | 6 | 2020-03-19T20:13:44.000Z | 2021-06-10T18:42:30.000Z | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | null | null | null | from django.views import View
from django.http import JsonResponse
from tracker.models import Match
from tracker.forms import MatchForm
import json
class MatchView(View):
def put(self, request):
try:
body = request.body.decode('utf-8')
body = json.loads(body)
except json.decoder.JSONDecodeError as ex:
... | 21.266667 | 61 | 0.713166 | 487 | 0.763323 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.07837 |
57927aebea275b8a5baaf7a2a83d8d6768dd7f0a | 2,400 | py | Python | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | from precise.covariance.movingaverage import ema_scov
from precise.covariance.matrixfunctions import grand_mean, grand_shrink
from sklearn.covariance._shrunk_covariance import ledoit_wolf_shrinkage
import numpy as np
# Experimental estimator inspired by Ledoit-Wolf
# Keeps a buffer of last n_buffer observations
# Tra... | 25.806452 | 83 | 0.544167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 715 | 0.297917 |
57931e36703d83bfbb031c2fa680eb23f332ac35 | 704 | py | Python | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open('README.md') as f:
long_description = f.read()
setup(name='Text2CArray',
version='0.1.0',
description='Script for generating C arrays from text.',
long_description=long_description,
long_description_content_type='text/markdown', # This i... | 29.333333 | 73 | 0.640625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.346591 |
57944f7748440824b510084999250896fd1e4190 | 32 | py | Python | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 92 | 2020-01-22T22:15:29.000Z | 2022-03-31T05:19:16.000Z | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 604 | 2020-01-25T17:13:27.000Z | 2022-03-31T18:58:24.000Z | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 39 | 2020-02-06T00:38:06.000Z | 2022-03-15T06:14:19.000Z | VARIABLE_1 = 10
VARIABLE_2 = 20
| 10.666667 | 15 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
57963d19d43781ea87b371e11a9dd7e27acce2dd | 7,708 | py | Python | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | 1 | 2020-07-10T12:52:43.000Z | 2020-07-10T12:52:43.000Z | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | null | null | null | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | 1 | 2021-10-05T05:24:57.000Z | 2021-10-05T05:24:57.000Z | import json
import os.path
import operator
import time
from multiprocessing import Pool
import markovify
from tqdm import tqdm
removeWords = ['c', 'tsp', 'qt', 'lb', 'pkg', 'oz', 'med', 'tbsp', 'sm']
removeWords2 = [" recipes "," recipe "," mashed "," fat ",' c. ',' c ','grams','gram','chopped','tbsps','tbsp','cups',... | 34.720721 | 170 | 0.61741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,052 | 0.395952 |
57978560a0242c56700cc234e8aab484133ef169 | 11,740 | py | Python | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 1 | 2020-04-10T09:47:54.000Z | 2020-04-10T09:47:54.000Z | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 10 | 2019-05-30T18:29:10.000Z | 2020-02-15T02:16:42.000Z | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 2 | 2020-02-04T02:56:21.000Z | 2020-04-25T20:05:16.000Z | from nanome._internal._structure._complex import _Complex
from nanome._internal import _PluginInstance
from nanome._internal._network import PluginNetwork
from nanome._internal._network._commands._callbacks import _Messages
from nanome.util import Matrix, Logs
from .io import ComplexIO
from . import Base
class Comple... | 25.139186 | 83 | 0.593782 | 11,371 | 0.968569 | 949 | 0.080835 | 7,210 | 0.61414 | 0 | 0 | 1,991 | 0.169591 |
579790343ca70d2a664becf8ebf185a247791ae7 | 1,862 | py | Python | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | null | null | null | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | 9 | 2020-02-12T03:06:29.000Z | 2022-03-12T00:11:25.000Z | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.postgres.fields import ArrayField
from django.urls import reverse
# Create your models here.
class Neighbourhood(models.Model):
image = models.ImageField(upload_to='neighbourhood_avatars', default='dummy_neighbourhood.jpg')
name = models.CharField(max_length=2... | 33.854545 | 107 | 0.697637 | 1,715 | 0.921053 | 0 | 0 | 260 | 0.139635 | 0 | 0 | 214 | 0.11493 |
5797c3e4c498f61ba0845553c24009ac9d25e7f2 | 1,932 | py | Python | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | from doubly_linked_list import DoublyLinkedList
class TextBuffer:
def __init__(self):
self.storage = DoublyLinkedList()
# return a string to the print function
def __str__(self):
# build a string
s = ""
current_node = self.storage.head
while current_node:
... | 28.411765 | 81 | 0.664079 | 1,624 | 0.84058 | 0 | 0 | 0 | 0 | 0 | 0 | 529 | 0.27381 |
579b07f7e2fa1f7d53a1230b84e41be5a5006de9 | 14,911 | py | Python | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This file holds user profile information. (The base User model is part of
Django; profiles extend that with locally useful information.)
TWLight has three user types:
* editors
* coordinators
* site administrators.
_Editors_ are Wikipedia editors who are applying for TWL resource acce... | 40.409214 | 228 | 0.652002 | 12,971 | 0.869895 | 0 | 0 | 1,663 | 0.111528 | 0 | 0 | 8,461 | 0.567433 |
579b5a9f70fd946f42041ba6173bffac11a64dcb | 14,694 | py | Python | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 2 | 2021-03-14T11:46:51.000Z | 2022-03-30T05:39:55.000Z | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 9 | 2020-03-24T18:16:46.000Z | 2022-02-10T00:39:49.000Z | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 1 | 2021-04-23T04:55:16.000Z | 2021-04-23T04:55:16.000Z | import numpy as np
import pandas as pd
import tensorflow as tf
import itertools
import datetime
import os
from sklearn.metrics import roc_auc_score
from model import mlp, lognormal_nlogpdf, lognormal_nlogsurvival
from model_reddit import load_batch
from train_reddit import get_files
from train_mimic import rae_over_s... | 24.49 | 99 | 0.689261 | 10,603 | 0.721587 | 0 | 0 | 0 | 0 | 0 | 0 | 1,129 | 0.076834 |
579bb2d5e8a709b1e23fdd92467609fdeb1606bf | 1,272 | py | Python | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | 36 | 2015-04-17T12:05:54.000Z | 2019-10-15T20:44:34.000Z | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | null | null | null | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | 16 | 2015-05-11T22:59:51.000Z | 2020-12-07T16:42:37.000Z | # Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 34.378378 | 75 | 0.731132 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 619 | 0.486635 |
579c287002d5865b908cece88e2dc77b99abf245 | 4,392 | py | Python | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 85 | 2017-11-21T12:22:02.000Z | 2022-03-27T23:07:17.000Z | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 545 | 2017-11-04T14:15:04.000Z | 2022-03-27T14:19:27.000Z | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 45 | 2017-11-11T12:36:30.000Z | 2022-02-25T06:10:44.000Z | # -*- coding: utf-8 -*-
import json
from django.db import models, migrations
DIARY_KEYS = (0,
3,
4,
17,
20001,
20002,
20003,
40000,
40001,
40002,
40003,
40004,
... | 21.742574 | 78 | 0.344035 | 212 | 0.048237 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.03777 |
579d327dd8fa1b155ce5d0aa4edd1cd1932f3add | 1,764 | py | Python | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | 3 | 2021-09-20T04:51:55.000Z | 2022-02-02T13:37:31.000Z | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | null | null | null | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | null | null | null | import sys
sys.path.append("../src")
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import C_calculation
plt.style.use(['seaborn-deep', '../paper.mplstyle'])
"""
This script produces Figure S3, which displays a detailed summary of the
calculations used to determine a suitable value for C. ... | 29.898305 | 104 | 0.584467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 408 | 0.231293 |
579e371e955563dc8f4d6412367c0fd0a22213bb | 167 | py | Python | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | #Faça um Programa que leia um vetor de 5 números inteiros e mostre-os.
lista=[]
for i in range(1, 6):
lista.append(int(input('Digite um número: ')))
print(lista)
| 23.857143 | 70 | 0.694611 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.547059 |
579ed39e3894484e564f4d2f67bafed408849d23 | 169 | py | Python | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 11,902 | 2019-12-05T00:14:29.000Z | 2022-03-31T23:25:37.000Z | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 5,246 | 2019-12-05T04:00:03.000Z | 2022-03-31T21:33:30.000Z | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 2,149 | 2019-12-05T11:12:53.000Z | 2022-03-31T06:08:34.000Z | from enum import Enum
class TradeStatus(Enum):
PENDING_ACCEPT = 0
PENDING_CONFIRM = 1
PENDING_CANCEL = 2
CANCELED = 3
CONFIRMED = 4
FAILED = 5
| 15.363636 | 24 | 0.650888 | 144 | 0.852071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
579ee3e03e2bc4abaee046e7d30389e76953898b | 522 | py | Python | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | 3 | 2018-10-25T01:55:31.000Z | 2020-03-31T16:11:08.000Z | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | null | null | null | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
========================
SBPy Vega Sources Module
========================
Descriptions of source Vega spectra.
"""
# Parameters passed to Vega.from_file. 'filename' is a URL. After
# adding spectra here update __init__.py docstring and
# docs/sbpy... | 21.75 | 66 | 0.637931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.867816 |
579ef7f1b1338f3ddf37ec13a2ddb9beab318d6c | 3,455 | py | Python | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | null | null | null | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | null | null | null | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | 1 | 2018-09-17T09:06:52.000Z | 2018-09-17T09:06:52.000Z | import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import numpy as np
import keras
from keras.applications import imagenet_utils
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.preprocessing import image
from k... | 25.592593 | 103 | 0.661071 | 0 | 0 | 0 | 0 | 1,366 | 0.395369 | 0 | 0 | 938 | 0.271491 |
57a027d5dd9201731891da0c2235f4c706336af9 | 506 | py | Python | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null | def divide_by_four(input_number):
return input_number/4
result = divide_by_four(16)
# result now holds 4
print("16 divided by 4 is " + str(result) + "!")
result2 = divide_by_four(result)
print(str(result) + " divided by 4 is " + str(result2) + "!")
def calculate_age(current_year, birth_year):
age = current_yea... | 26.631579 | 81 | 0.70751 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.221344 |
57a3a8a709c11a11c55c20bbf889cce49b9d06df | 223 | py | Python | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 2 | 2018-02-15T12:56:05.000Z | 2018-03-10T09:45:08.000Z | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 1 | 2018-05-24T23:08:17.000Z | 2018-05-24T23:08:17.000Z | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 3 | 2018-02-09T03:27:43.000Z | 2018-07-02T10:45:35.000Z |
from adjutant.api.v1.models import register_taskview_class
from mfa_views import views
register_taskview_class(r'^openstack/edit-mfa/?$', views.EditMFA)
register_taskview_class(r'^openstack/users/?$', views.UserListMFA)
| 27.875 | 66 | 0.816143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.210762 |
57a3afc4218ffc2e5632ac9b4b9ef00acfd02961 | 3,194 | py | Python | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2015-2019 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import numpy as np
from astropy.io import fits
from ..op import Operator
from ..timing import function_timer
from .tod_mat... | 27.067797 | 85 | 0.567001 | 1,383 | 0.432999 | 0 | 0 | 763 | 0.238885 | 0 | 0 | 1,225 | 0.383532 |
57a48b0dacbc22f4bad998cd06e891c64fb838c5 | 7,652 | py | Python | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 18 | 2022-01-13T13:45:13.000Z | 2022-03-30T04:41:18.000Z | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 604 | 2022-01-13T12:32:50.000Z | 2022-03-31T20:27:36.000Z | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 8 | 2022-01-28T00:23:25.000Z | 2022-03-16T05:12:12.000Z | # Janssen Project software is available under the Apache 2.0 License (2004). See http://www.apache.org/licenses/ for full text.
# Copyright (c) 2020, Janssen Project
#
# Author: Madhumita Subramaniam
#
from io.jans.service.cdi.util import CdiUtil
from io.jans.as.server.security import Identity
from io.jans.model.custo... | 39.854167 | 167 | 0.673811 | 6,405 | 0.837036 | 0 | 0 | 0 | 0 | 0 | 0 | 1,622 | 0.211971 |
57a668358180b4bf197bc0f22a79ebe450b7df08 | 384 | py | Python | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | from django.db import models
# classification value objects
CHOICES_CLASSIFICATION = [
(0, 'unrelated'),
(1, 'simple'),
(2, 'complex'),
(3, 'substring'),
]
class Abbreviation(models.Model):
long_form = models.TextField(blank=False)
abbreviation = models.CharField(max_length=100, blank=False)
classification =... | 22.588235 | 80 | 0.75 | 219 | 0.570313 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.179688 |
57a71c30a72ab6617b2351c0866f4abcd021aacb | 1,709 | py | Python | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | 7 | 2021-12-10T16:37:15.000Z | 2022-03-07T09:29:36.000Z | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | null | null | null | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | 9 | 2022-01-15T15:32:58.000Z | 2022-03-08T21:28:38.000Z | # This code could be improved but its just a example on how to use the code from the site
import requests, base64, random, string
token = input("Put code here:\n")
headers = {
'authority': 'auth.roblox.com',
'dnt': '1',
'x-csrf-token': requests.post("https://auth.roblox.com/v2/login").headers["x-csrf-tok... | 30.517857 | 135 | 0.664716 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,011 | 0.591574 |
57a76c0acd0cd0c7f74ee94b222ad2aad279c1a0 | 160 | py | Python | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | from django.db import models
class Roles(models.TextChoices):
USER = 'user', 'User'
MODERATOR = 'moderator', 'Moderator'
ADMIN = 'admin', 'Admin'
| 20 | 40 | 0.65625 | 128 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.3 |
57a8299c7547a4ed17891ac37b6772a5f338d29e | 6,161 | py | Python | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | null | null | null | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | 8 | 2019-10-24T10:08:21.000Z | 2021-11-29T11:39:51.000Z | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | 3 | 2019-10-17T15:17:02.000Z | 2020-09-24T18:10:24.000Z | import re
from datetime import datetime
from PyInquirer import Validator, ValidationError
from prompt_toolkit.document import Document
# This file contains functions used for validation and Validator classes that use them.
# Validators are used by questions.
def non_empty(document: Document) -> bool:
if not doc... | 34.038674 | 356 | 0.637072 | 2,639 | 0.42834 | 0 | 0 | 0 | 0 | 0 | 0 | 1,871 | 0.303684 |
57a89bca360c730024572cf8e5039971a5a20578 | 7,113 | py | Python | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | null | null | null | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | 2 | 2019-07-15T11:29:47.000Z | 2021-11-26T04:01:14.000Z | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2019 Niklas Rosenstein
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 34.197115 | 98 | 0.696752 | 2,148 | 0.301982 | 0 | 0 | 1,567 | 0.220301 | 0 | 0 | 1,902 | 0.267398 |
57a8e223905afe0cac15558594f1c75596817567 | 15,208 | py | Python | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | import filecmp
import os
import sys
import shutil
import subprocess
import time
import unittest
if (sys.version_info > (3, 0)):
import urllib.request, urllib.parse, urllib.error
else:
import urllib
from optparse import OptionParser
from PyQt4 import QtCore,QtGui
parser = OptionParser()
parser.add_option("-r",... | 35.783529 | 81 | 0.647554 | 10,122 | 0.665571 | 0 | 0 | 0 | 0 | 0 | 0 | 4,020 | 0.264335 |
57a8e82c5a3eff8f6921f918c1e1cb15a9856eea | 2,174 | py | Python | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Here is the class that controls the bot.
It also contains various value manipulation,
and one function that lets the bot play one round, from first roll until hold.
The intelligence is basically how many rolls the bot is going to do on one
round. The easier level on t... | 32.939394 | 78 | 0.614995 | 1,684 | 0.773897 | 0 | 0 | 0 | 0 | 0 | 0 | 871 | 0.400276 |
57a918303b705c991a3420d0d04d3d2d8b68608b | 2,068 | py | Python | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | null | null | null | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | 6 | 2021-07-02T09:57:38.000Z | 2021-07-23T12:42:07.000Z | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | 1 | 2021-07-01T16:16:29.000Z | 2021-07-01T16:16:29.000Z | import datetime
import logging
from typing import Optional
from .types import CheckerTaskMessage, EnoLogMessage
LOGGING_PREFIX = "##ENOLOGMESSAGE "
class ELKFormatter(logging.Formatter):
def format(self, record: logging.LogRecord) -> str:
if type(record.args) is tuple and len(record.args) > 0:
... | 37.6 | 83 | 0.619439 | 1,915 | 0.926015 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.117505 |
57a95284d7934e75842077f077664e4ddceff207 | 3,191 | py | Python | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | pferrel/incubator-predictionio | 4b2fb7c1b6a1cd1027a4c03e6ae1af223c8e634c | [
"Apache-2.0"
] | 2 | 2017-03-10T03:03:14.000Z | 2017-07-03T02:38:42.000Z | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | michaelzzh/LF_PredictionIO | 98bfd4d75efaab7633697f12e31e791660dbd61a | [
"Apache-2.0"
] | null | null | null | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | michaelzzh/LF_PredictionIO | 98bfd4d75efaab7633697f12e31e791660dbd61a | [
"Apache-2.0"
] | 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... | 29.546296 | 74 | 0.651833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,374 | 0.430586 |
57a9b2141377677285fd56333b0647b258ef25b3 | 1,240 | py | Python | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | import os as os
from pandas import pandas as p
from pandas.compat import StringIO, BytesIO
class ReadCsv:
def __init__(self, base_dir):
self.base_dir = base_dir
@staticmethod
def all_files(base_path):
all_files = []
for file in os.scandir(base_path):
if file.is_file()... | 31 | 90 | 0.596774 | 1,146 | 0.924194 | 0 | 0 | 209 | 0.168548 | 0 | 0 | 4 | 0.003226 |
57aa9b57ce3b4678b56fb8cf872403039e20b2b9 | 1,364 | py | Python | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 30 15:28:09 2018
@author: dataquanty
"""
import numpy as np
from math import sqrt, pi, acos,cos
from matplotlib import pyplot as plt
from scipy.misc import imsave
from bisect import bisect_left
h , w = 1000, 1000
img = np.ones((h,w))
center = (... | 21.650794 | 58 | 0.519062 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 417 | 0.305718 |
57adf597c9133c7c09f33507918c2763c2027900 | 1,083 | py | Python | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
sys.path.append('..')
import mitogen
VERSION = '%s.%s.%s' % mitogen.__version__
author = u'David Wilson'
copyright = u'2018, David Wilson'
exclude_patterns = ['_build']
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.intersphinx', 'sphinxcontrib.programoutput']
html_show_sourcelink = False
html_s... | 27.075 | 143 | 0.720222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 532 | 0.491228 |
57af48c7c6ce730f18de8225a93c02bfa45f922d | 1,741 | py | Python | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 3 | 2022-02-09T07:04:37.000Z | 2022-03-11T02:46:35.000Z | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 4 | 2022-01-28T22:28:08.000Z | 2022-02-11T21:47:15.000Z | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 1 | 2022-01-11T03:39:02.000Z | 2022-01-11T03:39:02.000Z | from caendr.services.cloud.postgresql import db
from caendr.models.sql.dict_serializable import DictSerializable
from sqlalchemy import func, or_
from sqlalchemy.ext.hybrid import hybrid_property
class WormbaseGeneSummary(DictSerializable, db.Model):
"""
This is a condensed version of the WormbaseGene model;
... | 37.847826 | 90 | 0.711086 | 1,543 | 0.886272 | 0 | 0 | 451 | 0.259047 | 0 | 0 | 516 | 0.296381 |
57b0f06734d5293b4bc104ab02dc176064141a7e | 4,137 | py | Python | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | null | null | null | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | null | null | null | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | 1 | 2020-03-03T04:04:56.000Z | 2020-03-03T04:04:56.000Z | from django.core.exceptions import ValidationError
from django.db import models
from django.forms.models import model_to_dict
from decimal import Decimal
# Create your models here.
class ProductManager(models.Manager):
def top_drops(self, n):
return self.get_queryset().order_by('-price_drop')[:n]
de... | 36.9375 | 126 | 0.664491 | 3,937 | 0.951656 | 0 | 0 | 0 | 0 | 0 | 0 | 487 | 0.117718 |
57b46ec2e0dade46c77d1fce41a387fa6b810a5f | 1,890 | py | Python | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | # Copyright 2017-present Open Networking Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 30.983607 | 86 | 0.679894 | 798 | 0.422222 | 0 | 0 | 188 | 0.099471 | 0 | 0 | 801 | 0.42381 |
57b55370970495146667677f66fe08fa5907770e | 952 | py | Python | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 4 | 2017-08-15T13:29:06.000Z | 2019-04-24T01:31:25.000Z | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 51 | 2017-08-13T03:58:41.000Z | 2018-01-29T21:21:57.000Z | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 5 | 2017-08-15T01:46:33.000Z | 2019-01-07T21:43:24.000Z | """ Testing Wiki Module
"""
import unittest
from ddt import ddt, data, unpack
from ashaw_notes.plugins.wiki import Plugin
@ddt
class PluginTests(unittest.TestCase):
"""Unit Testing Plugin"""
@unpack
@data(
(1373500800,
'today: derp note',
'today: derp note'),
(137350080... | 28.848485 | 98 | 0.609244 | 821 | 0.862395 | 0 | 0 | 826 | 0.867647 | 0 | 0 | 428 | 0.44958 |
57b6388ade74fa7db2072594bfcd80032ccdd8ef | 5,956 | py | Python | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 8 | 2016-03-19T12:32:11.000Z | 2021-12-06T18:36:10.000Z | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 16 | 2016-04-11T13:36:22.000Z | 2022-03-30T11:41:35.000Z | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 8 | 2015-11-20T16:27:07.000Z | 2022-03-28T12:46:17.000Z | #!/usr/bin/env python3
"""Converts Cppcheck XML version 2 output to JUnit XML format."""
import argparse
import collections
from datetime import datetime
import os
from socket import gethostname
import sys
from typing import Dict, List
from xml.etree import ElementTree
from exitstatus import ExitStatus
class Cppch... | 32.021505 | 98 | 0.633647 | 643 | 0.107958 | 0 | 0 | 0 | 0 | 0 | 0 | 1,892 | 0.317663 |
57b7e56d2bb65164490572ca122f372afa976572 | 2,440 | py | Python | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | 1 | 2019-12-12T15:38:42.000Z | 2019-12-12T15:38:42.000Z | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | import pytest
from django.conf import settings
from django.contrib.auth import get_user_model
from django.contrib.sites.models import Site
from core.models import Identity
from organizations.models import Organization
@pytest.fixture
def valid_identity():
id_string = 'valid@user.test'
user = get_user_model()... | 25.154639 | 88 | 0.702459 | 0 | 0 | 1,534 | 0.628174 | 1,950 | 0.798526 | 0 | 0 | 338 | 0.138411 |
57b8a501dc93a41633bfea6eb1b0e55e7388ace2 | 4,041 | py | Python | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for Descriptor."""
import unittest
import numpy as np
import orjson
from prodec import Descriptor
from prodec.utils import std_amino_acids
from tests.constants import *
class TestDescriptor(unittest.TestCase):
"""Tests for Descriptor."""
def setUp(self):
"""Cr... | 42.536842 | 105 | 0.59218 | 3,833 | 0.948528 | 0 | 0 | 0 | 0 | 0 | 0 | 343 | 0.08488 |
57ba16515c786535378110b8430cbadfa8476104 | 310 | py | Python | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 36 | 2019-06-17T02:00:36.000Z | 2022-03-10T07:54:07.000Z | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 6 | 2020-03-17T03:53:53.000Z | 2022-03-30T07:57:40.000Z | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 4 | 2019-06-17T02:00:35.000Z | 2021-09-22T14:44:29.000Z | from .env import get_root_logger, init_dist, set_random_seed
from .inference import inference_detector, init_detector, show_result
from .train import train_detector
__all__ = [
'init_dist', 'get_root_logger', 'set_random_seed', 'train_detector',
'init_detector', 'inference_detector', 'show_result'
]
| 34.444444 | 72 | 0.787097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.351613 |
57ba713a68ba9ecdd9ab3196a36b1f0bcef50142 | 1,544 | py | Python | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
'''
Examine a CherryTree SQLite database and print out the tree in proper heirarchical form and sequence.
'''
import argparse
import colorama
from colorama import Fore, Back, Style
import sqlite3
from ct2ad import *
def print_xc_node(xc_node, level):
'''
Print the node information to... | 24.507937 | 159 | 0.723446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 0.365933 |
57bb5336b2ed0566151bd0a0cc733ef2af64f5fa | 2,559 | py | Python | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
sys.path.append('/opt/lib/python2.7/site-packages/')
import math
import numpy as np
import pylab
import nest
import nest.raster_plot
import nest.voltage_trace
import nest.topology as tp
import ggplot
t_sim = 500
populations = [1, 100]
no_recurrent = True
neuron_model = 'iaf_psc_e... | 20.804878 | 82 | 0.657288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 906 | 0.354045 |
57bd452b6b5ced5e7d55432fe628cd4930c57a5d | 21,008 | py | Python | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | from django.shortcuts import render,redirect,get_object_or_404
from .forms import *
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .models import *
from django.views.generic import DetailView,DeleteView
from django.urls import reverse_lazy
from test2.notification impo... | 34.839138 | 169 | 0.623048 | 0 | 0 | 0 | 0 | 19,694 | 0.937452 | 0 | 0 | 6,186 | 0.294459 |
57bd96ec29c38dc1f3e044540afbb8ecbffccd50 | 106 | py | Python | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | __version__ = '0.9.3'
from .lock import Lock # noqa
from .lock import NeedRegenerationException # noqa
| 21.2 | 51 | 0.745283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.179245 |
57bde5b7260543357976e429b49a59520729133b | 1,550 | py | Python | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | 15 | 2021-07-07T16:25:26.000Z | 2022-03-19T11:58:23.000Z | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | 9 | 2021-07-28T22:09:07.000Z | 2022-01-17T08:03:15.000Z | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | null | null | null | from pyssian.chemistryutils import is_basis,is_method
import unittest
class ChemistryUtilsTest(unittest.TestCase):
def setUp(self):
self.Valid_Basis = '6-311+g(d,p) 6-31g* cc-pVTZ D95V* LanL2DZ SDD28 Def2SVP UGBS2P2++'.split()
self.Fake_Basis = '6-311g+(d,p) 6-31*g ccpVTZ D96V* LanL2TZ SDD Def2SP U... | 46.969697 | 102 | 0.674839 | 1,478 | 0.953548 | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 0.296774 |
57bf94c1f54bb6b9683e423a8cf8f0e42b9b2cad | 4,415 | py | Python | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | # This is what requests does.
try:
import simplejson as json
except ImportError:
import json
import logging
import requests
from .exceptions import *
_PROTOCOL = 'https://'
_BASE_URL = '{}api.life360.com/v3/'.format(_PROTOCOL)
_TOKEN_URL = _BASE_URL + 'oauth2/token.json'
_CIRCLES_URL = _BASE_URL + 'circles.j... | 37.735043 | 77 | 0.604757 | 3,754 | 0.850283 | 0 | 0 | 0 | 0 | 0 | 0 | 956 | 0.216535 |
57c14c8998061fad84c8b010eef9803262de092d | 328 | py | Python | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | 28 | 2020-09-08T04:38:01.000Z | 2022-02-05T21:47:52.000Z | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | 8 | 2020-09-04T21:29:57.000Z | 2021-11-17T16:44:42.000Z | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pandas as pd
import pytest
@pytest.fixture
def dta():
return pd.DataFrame.from_dict(
{
'A': np.arange(1, 16),
'B': pd.date_range('2020-01-01', periods=15),
'C': ['A', 'B', 'C'] * 5,
'D': pd.Categorical(['A', 'B', 'C'] * 5),
... | 20.5 | 57 | 0.466463 | 0 | 0 | 0 | 0 | 272 | 0.829268 | 0 | 0 | 42 | 0.128049 |
57c2c77af5f13ed7cf14e66f21d8a57ff936dd88 | 2,976 | py | Python | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | """
Objectives:
- Which players pass together the most?
- What types of position combintations are most frequent in pass-sequences?
"""
"""
Sample Run Script: python manage.py analysis3 --team_uuid="t1326"
--print_to_csv
python manage.py analysis4 --team_uuid="t1326" --start_date="2016-07-01"
python ... | 30.367347 | 102 | 0.685148 | 1,947 | 0.654234 | 0 | 0 | 0 | 0 | 0 | 0 | 1,182 | 0.397177 |
57c4c8bc27d5ede3ee5ab749d40ffd70c1be34a7 | 1,474 | py | Python | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | from .stock import Stock
class Portfolio:
def __init__(self, assets):
self.stocks = []
self.__populate_stocks(assets)
def get_stock(self, stock_name):
for stock in self.stocks:
if stock.name == stock_name:
return stock
return None
def get_prof... | 28.901961 | 77 | 0.627544 | 1,447 | 0.981682 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.006784 |
57c64dbce81aa32c7cfedf4dddca84cc3b07269f | 4,694 | py | Python | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | # %%
from HARK.utilities import CRRAutility_inv
from time import time
import matplotlib.pyplot as plt
import numpy as np
from HARK.ConsumptionSaving.ConsMedModel import MedShockConsumerType
# %%
mystr = lambda number: "{:.4f}".format(number)
# %%
do_simulation = True
# %% [markdown]
# This module defines consumption... | 36.671875 | 333 | 0.679165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,125 | 0.452706 |
57c8b90994148c8460b99ab3bc8d5a19736e8281 | 25,325 | py | Python | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import asyncio
import aiohttp
import random
from datetime import datetime, timedelta
import math
import json
# #####################################################################################
# math parser used by $calc
class MathParser:
def __init_... | 48.701923 | 226 | 0.536387 | 24,989 | 0.984672 | 0 | 0 | 14,858 | 0.585468 | 15,556 | 0.612972 | 4,861 | 0.191544 |
57ca6b765a520ecf380512aee08b9a30756ae5fb | 1,481 | py | Python | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | #####################
### Base classes. ###
#####################
class barrier:
synonyms = ["wall"]
m_description = "There is a barrier in the way."
def __init__(self, passable=False):
self.passable = passable
def __str__(self):
return self.m_description
def ... | 25.101695 | 56 | 0.519919 | 1,311 | 0.885213 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.266712 |
57cc2589e042bfe3b9f204e55c44c76092d692cc | 1,171 | py | Python | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | 1 | 2018-10-02T17:51:57.000Z | 2018-10-02T17:51:57.000Z | #!/usr/bin/env ipython
import numpy as np
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
class gral():
def __init__(self):
self.name = ''
sh, mc = gral(), gral()
cr = gral()
cr.sh, cr.mc = gral(), gral()
vlo, vhi = 550.0, 3000.0 #550., 3000. #100.0, 450.0 #... | 32.527778 | 92 | 0.562767 | 60 | 0.051238 | 0 | 0 | 0 | 0 | 0 | 0 | 392 | 0.334757 |
57cc2ecd156c278de2ca18c760107a89d6f9b534 | 3,090 | py | Python | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | null | null | null | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | 5 | 2018-11-28T11:02:58.000Z | 2019-02-07T09:55:26.000Z | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | 5 | 2018-10-23T08:07:53.000Z | 2019-08-07T07:08:20.000Z | # Copyright 2018-2019 CRS4
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwa... | 31.85567 | 78 | 0.630097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.308091 |
57ccea073806c8789604eca66fcde66c4dcb3d14 | 2,598 | py | Python | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 634 | 2015-10-30T00:55:40.000Z | 2022-03-31T02:59:00.000Z | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 145 | 2015-11-06T00:17:33.000Z | 2022-03-16T13:30:31.000Z | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 103 | 2015-11-07T07:08:49.000Z | 2022-03-18T17:34:36.000Z | import logging
from django.apps import apps
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import Http404, HttpResponse, JsonResponse
from django.views.generic import TemplateView, View
from zentral.core.stores import frontend_store
logger = logging.getLogger("server.base.views")
class H... | 36.083333 | 115 | 0.560046 | 2,278 | 0.876828 | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 0.134719 |
57ccef5f4b39231aa2dfe0a1c954a8f2a2181361 | 176,775 | py | Python | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | g1 = "#5d9e6d"
g2 = "#549464"
g3 = "#498758"
g4 = "#3d784b"
b1 = "#5f7ab8"
b2 = "#5a70a3"
b3 = "#4d67a3"
r4 = "#262626"
w1 = "#f0f0f0"
w2 = "#d9d9d9"
w3 = "#e6e6e6"
r1 = "#707070"
r2 = "#595959"
r3 = "#404040"
r4 = "#262626"
l1 = "#d95757"
l2 = "#d99457"
l3 = "#d97857"
v1 = "#664f47"
v2 = "#4a3d39"
v3 = "#382f2c"
v4 = ... | 169.649712 | 364 | 0.316719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27,392 | 0.154954 |
57cd044d651756a4e1a9d230a6483c3f90d186bf | 172,689 | py | Python | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | useless_facts = ["Most American car horns honk in the key of F.",
"The name Wendy was made up for the book 'Peter Pan.'",
"Barbie's full name is Barbara Millicent Roberts.",
"Every time you lick a stamp, you consume 1/10 of a calorie.",
"The average person falls asleep in seven minutes.",
"Studies s... | 307.823529 | 104,781 | 0.736665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 163,141 | 0.944316 |
57cd64fc8fb4418f591748f78bcb5ab458e9e1df | 1,502 | py | Python | libqtile/widget/she.py | CharString/qtile | 7dc1448fa866d4c3a2a5c2738c5cf3fcd10b0631 | [
"MIT"
] | 1 | 2015-03-02T21:18:17.000Z | 2015-03-02T21:18:17.000Z | libqtile/widget/she.py | WnP/qtile | 7b3b21d602320df3a43155814e112c850f660fa9 | [
"MIT"
] | null | null | null | libqtile/widget/she.py | WnP/qtile | 7b3b21d602320df3a43155814e112c850f660fa9 | [
"MIT"
] | null | null | null | from libqtile.widget import base
from libqtile import bar, hook
__all__ = ['She']
class She(base._TextBox):
''' Widget to display the Super Hybrid Engine status.
can display either the mode or CPU speed on eeepc computers.'''
defaults = [
('device', '/sys/devices/platform/eeepc/cpufv', 'sys path... | 31.291667 | 77 | 0.561252 | 1,416 | 0.942743 | 0 | 0 | 0 | 0 | 0 | 0 | 407 | 0.270972 |
57cf0026e0267dca377d75719db241beafb88f18 | 1,490 | py | Python | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | 10 | 2019-07-16T15:04:33.000Z | 2021-02-11T03:49:09.000Z | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | null | null | null | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | 1 | 2021-02-07T15:22:09.000Z | 2021-02-07T15:22:09.000Z | #!/usr/bin/env python
from contextlib import contextmanager
import os
import sys
import time
srcdir = os.path.dirname(os.path.dirname(__file__))
sys.path.insert(0, srcdir)
from ukt import *
script = os.path.join(srcdir, 'scripts/kt.lua')
server = EmbeddedServer(database='%', server_args=['-scr', script],
... | 19.605263 | 69 | 0.613423 | 0 | 0 | 159 | 0.106711 | 175 | 0.11745 | 0 | 0 | 153 | 0.102685 |
57cf71e94609fd85e48613dd288c7fef9e5aa2fe | 2,260 | py | Python | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'Some kind of SKF chopper'
pv_root = 'LabS-Embla:Chop-Drv-0601:'
devices = dict(
skf_drive_temp=device('nicos.devices.epics.pva.EpicsReadable',
description='Drive temperature',
readpv='{}DrvTmp_Stat'.format(pv_root),
monitor=True,
),
skf_motor_temp=device('nicos.devic... | 33.731343 | 69 | 0.611504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 879 | 0.388938 |
57cf7c7be10d8c27847604d37eb3c00a440f9f34 | 1,111 | py | Python | autotf/selector/base_selector.py | zwt233/autotf | 8223606047a4e0e2795cf7befee8c6f7a44a6ec4 | [
"BSD-3-Clause"
] | 1 | 2021-04-15T15:56:10.000Z | 2021-04-15T15:56:10.000Z | autotf/selector/base_selector.py | zwt233/autotf | 8223606047a4e0e2795cf7befee8c6f7a44a6ec4 | [
"BSD-3-Clause"
] | null | null | null | autotf/selector/base_selector.py | zwt233/autotf | 8223606047a4e0e2795cf7befee8c6f7a44a6ec4 | [
"BSD-3-Clause"
] | null | null | null | class BaseSelector:
def __init__(self):
pass
def select_model(self, X, y,
total_time,
learners=None,
metric=None,
save_directory=None):
"""
Find the best model with its hyperparameters from the autotf's... | 22.673469 | 81 | 0.50405 | 1,111 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 662 | 0.59586 |
57cfdc5a603f9e7b2137dd0276b55ce9493be7c5 | 16 | py | Python | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | nothing = None
| 5.333333 | 14 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
57cfe9cbd14de3c1d66f6b0d1a90693c4bb4239e | 1,623 | py | Python | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | 2 | 2021-04-07T03:26:37.000Z | 2021-07-26T07:38:49.000Z | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | null | null | null | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | null | null | null | # # 5. Алфавитный переводчик номера телефона. Многие компании используют телефонные
# # номера наподобие 555-GET-FOOD, чтобы клиентам было легче запоминать эти номера.
# # На стандартном телефоне буквам алфавита поставлены в соответствие числа следующим
# # образом: А,В и С=2 ; D,Е и F=З. phone_num = input('nnn-XXX-XXX... | 33.122449 | 85 | 0.479359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 833 | 0.451246 |
57d09074769759b5c763c51e278ea561e4492dc7 | 450 | py | Python | admin/urls.py | ttdys108/django-demo | 9a1c18b4bf7d92f1b122222d1777424fac2aba2d | [
"Apache-2.0"
] | null | null | null | admin/urls.py | ttdys108/django-demo | 9a1c18b4bf7d92f1b122222d1777424fac2aba2d | [
"Apache-2.0"
] | null | null | null | admin/urls.py | ttdys108/django-demo | 9a1c18b4bf7d92f1b122222d1777424fac2aba2d | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from .views import index, users, weather
app_name = 'admin'
urlpatterns = [
path('', index.index, name='index'),
path('users/', users.index, name='users.index'),
path('users/add', users.add, name='users.add'),
path('users/update', users.update, name='users.update'),
pat... | 37.5 | 70 | 0.668889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.331111 |
57d29c7cf6b8de616c1ca548e36d5b66ed5cfd04 | 3,360 | py | Python | Disco.py | daniel-s-ingram/disco | f6edfa0d09c5cf822e93b554bb6aea63525441a7 | [
"MIT"
] | null | null | null | Disco.py | daniel-s-ingram/disco | f6edfa0d09c5cf822e93b554bb6aea63525441a7 | [
"MIT"
] | null | null | null | Disco.py | daniel-s-ingram/disco | f6edfa0d09c5cf822e93b554bb6aea63525441a7 | [
"MIT"
] | null | null | null | import sys
import requests
from statistics import mean, stdev
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
class Disco():
def __init__(self, artist):
self.website_url = "https://en.wikipedia.org"
disco_soup = self.get_disco_soup(artist)
album_urls = self.get_album_urls(dis... | 38.62069 | 126 | 0.62381 | 3,082 | 0.917262 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.14375 |
57d2bee9c3f83e95b3a975a6474c1974993fb8ef | 15,013 | py | Python | src/tools/dev/scripts/hooks/ciabot_svn.py | eddieTest/visit | ae7bf6f5f16b01cf6b672d34e2d293fa7170616b | [
"BSD-3-Clause"
] | null | null | null | src/tools/dev/scripts/hooks/ciabot_svn.py | eddieTest/visit | ae7bf6f5f16b01cf6b672d34e2d293fa7170616b | [
"BSD-3-Clause"
] | null | null | null | src/tools/dev/scripts/hooks/ciabot_svn.py | eddieTest/visit | ae7bf6f5f16b01cf6b672d34e2d293fa7170616b | [
"BSD-3-Clause"
] | 1 | 2020-03-18T23:17:43.000Z | 2020-03-18T23:17:43.000Z | #!/usr/bin/env python
#
# This is a CIA client script for Subversion repositories, written in python.
# It generates commit messages using CIA's XML format, and can deliver them
# using either XML-RPC or email. See below for usage and cuztomization
# information.
#
# ----------------------------------------------------... | 37.626566 | 98 | 0.605142 | 9,336 | 0.621861 | 0 | 0 | 0 | 0 | 0 | 0 | 8,702 | 0.579631 |
57d2ea3f2d5e155d3c26ab3d8579888941aaacdc | 493 | py | Python | lists_04/insertion_at_a_specified_position_in_a_list.py | njoroge33/py_learn | 6ad55f37789045bc5c03f3dd668cf1ea497f4e84 | [
"MIT"
] | null | null | null | lists_04/insertion_at_a_specified_position_in_a_list.py | njoroge33/py_learn | 6ad55f37789045bc5c03f3dd668cf1ea497f4e84 | [
"MIT"
] | 2 | 2019-04-15T06:29:55.000Z | 2019-04-19T17:34:32.000Z | lists_04/insertion_at_a_specified_position_in_a_list.py | njoroge33/py_learn | 6ad55f37789045bc5c03f3dd668cf1ea497f4e84 | [
"MIT"
] | 1 | 2019-11-19T04:51:18.000Z | 2019-11-19T04:51:18.000Z | # Given a list x of length n, a number to be inserted into the list and a position where to insert the number
# return the new list
# e.g given [2, 3, 6, 7], num=8 and position=2, return [2, 3, 8, 6, 7]
# for more info on this quiz, go to this url: http://www.programmr.com/insertion-specified-position-array-0
def ins... | 35.214286 | 109 | 0.673428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.643002 |
57d3a9d76e06f373164b6aa991f8a00afed0d016 | 530 | py | Python | carton/tests/urls.py | knyazz/py3-django-enriched-carton | 27d97388d8153f29a3c629cdcd3e734ad09dc52e | [
"MIT"
] | null | null | null | carton/tests/urls.py | knyazz/py3-django-enriched-carton | 27d97388d8153f29a3c629cdcd3e734ad09dc52e | [
"MIT"
] | null | null | null | carton/tests/urls.py | knyazz/py3-django-enriched-carton | 27d97388d8153f29a3c629cdcd3e734ad09dc52e | [
"MIT"
] | null | null | null | from django.conf.urls import url
from .views import (
add,
clear,
remove,
remove_single,
set_quantity,
show
)
urlpatterns = [
url(r'^show/$', show, name='carton-tests-show'),
url(r'^add/$', add, name='carton-tests-add'),
url(r'^remove/$', remove, name='carton-tests-remove'),
u... | 25.238095 | 79 | 0.632075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.4 |
57d50f67e3d06852292f8ffe636f692eff8d51a1 | 4,798 | py | Python | spectrumanalyzer.py | cwolfe007/LEDSoundResponsiveSuit | 86c03e80a7b689e418629e4d11674299d0cad64b | [
"MIT"
] | null | null | null | spectrumanalyzer.py | cwolfe007/LEDSoundResponsiveSuit | 86c03e80a7b689e418629e4d11674299d0cad64b | [
"MIT"
] | 1 | 2019-05-05T03:13:11.000Z | 2019-05-05T03:13:11.000Z | spectrumanalyzer.py | cwolfe007/LEDSoundRepsponsiveSuit | 86c03e80a7b689e418629e4d11674299d0cad64b | [
"MIT"
] | null | null | null |
# Spectrum Analyzer Code Author: Caleb Wolfe
import time
import Adafruit_GPIO.SPI as SPI
import Adafruit_MCP3008
import numpy as np
class SpectrumAnalyzer:
def __init__(self,smprate=44100,senistivity=100.0,samplesize=1024):
self.__samplerate =smprate
self.... | 35.279412 | 316 | 0.563568 | 4,079 | 0.850146 | 0 | 0 | 0 | 0 | 0 | 0 | 884 | 0.184243 |
57d556f00239b349c7bc417ac464a9d2c21e51b0 | 7,992 | py | Python | hs_core/discovery_form.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_core/discovery_form.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_core/discovery_form.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | from haystack.forms import FacetedSearchForm
from haystack.query import SQ
from django import forms
from hs_core.discovery_parser import ParseSQ, MatchingBracketsNotFoundError, \
FieldNotRecognizedError, InequalityNotAllowedError, MalformedDateError
FACETS_TO_SHOW = ['creator', 'contributor', 'owner', 'content_typ... | 43.434783 | 98 | 0.56031 | 7,638 | 0.955706 | 0 | 0 | 0 | 0 | 0 | 0 | 1,276 | 0.15966 |
57d6f9635f5e00346ee661f725027deab67f7b92 | 26,096 | py | Python | streamlit_prophet/lib/exposition/visualize.py | carolinedlu/darkpool-snowvation | c795a95288e5d58c60aee69afacbb93374fe0900 | [
"MIT"
] | 36 | 2021-09-16T12:34:13.000Z | 2021-12-11T20:51:58.000Z | streamlit_prophet/lib/exposition/visualize.py | carolinedlu/darkpool-snowvation | c795a95288e5d58c60aee69afacbb93374fe0900 | [
"MIT"
] | 7 | 2022-01-22T03:53:37.000Z | 2022-02-12T17:41:23.000Z | streamlit_prophet/lib/exposition/visualize.py | carolinedlu/darkpool-snowvation | c795a95288e5d58c60aee69afacbb93374fe0900 | [
"MIT"
] | 20 | 2021-12-16T00:56:32.000Z | 2022-03-20T00:52:08.000Z | from typing import Any, Dict, List
import datetime
import pandas as pd
import plotly.express as px
import plotly.figure_factory as ff
import plotly.graph_objects as go
import streamlit as st
from fbprophet import Prophet
from fbprophet.plot import plot_plotly
from plotly.subplots import make_subplots
from streamlit_p... | 35.312585 | 110 | 0.606338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,640 | 0.407725 |
57d8dced3bb1517e1acbcb80d5b0ad588a00e015 | 9,343 | py | Python | tracking/admin.py | mohdbakhrayba/it-assets | ea03882ffd70e40c82f5684dc4980ff46520843b | [
"Apache-2.0"
] | null | null | null | tracking/admin.py | mohdbakhrayba/it-assets | ea03882ffd70e40c82f5684dc4980ff46520843b | [
"Apache-2.0"
] | null | null | null | tracking/admin.py | mohdbakhrayba/it-assets | ea03882ffd70e40c82f5684dc4980ff46520843b | [
"Apache-2.0"
] | null | null | null | from datetime import date, datetime, timedelta
from django.conf import settings
from django.conf.urls import url
from django.contrib.admin import register, ModelAdmin
from django.http import HttpResponse
import pytz
import xlsxwriter
from .models import Computer, Mobile, EC2Instance, FreshdeskTicket, LicensingRule
@r... | 30.433225 | 136 | 0.494809 | 8,897 | 0.952264 | 0 | 0 | 9,010 | 0.964358 | 0 | 0 | 2,624 | 0.280852 |
57d96e1c007274d36d8529dbd1130a23bc0cd5c7 | 3,093 | py | Python | accounts/tests/test_views.py | jhonatanlteodoro/ecommerce-django | 931c70bba7658cdb982e5294e02c2b90d02b8c82 | [
"MIT"
] | 1 | 2020-01-07T20:50:48.000Z | 2020-01-07T20:50:48.000Z | accounts/tests/test_views.py | jhonatanlteodoro/ecommerce-django | 931c70bba7658cdb982e5294e02c2b90d02b8c82 | [
"MIT"
] | null | null | null | accounts/tests/test_views.py | jhonatanlteodoro/ecommerce-django | 931c70bba7658cdb982e5294e02c2b90d02b8c82 | [
"MIT"
] | null | null | null | from django.test import Client
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth import get_user_model
from model_mommy import mommy
from django.conf import settings
User = get_user_model()
class RegisterViewTestCase(TestCase):
def setUp(self):
self.client = Client(... | 34.366667 | 84 | 0.648885 | 2,857 | 0.922506 | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 0.196965 |
57daf6cc7d59c78379540bcf163d574b373cca46 | 3,360 | py | Python | modules/data_generator.py | radiradev/finetuned-cvn | 67ae5d659b6c78f670acac126e2411498048e548 | [
"MIT"
] | 1 | 2020-09-17T09:23:27.000Z | 2020-09-17T09:23:27.000Z | modules/data_generator.py | radiradev/finetuned-cvn | 67ae5d659b6c78f670acac126e2411498048e548 | [
"MIT"
] | null | null | null | modules/data_generator.py | radiradev/finetuned-cvn | 67ae5d659b6c78f670acac126e2411498048e548 | [
"MIT"
] | 1 | 2021-01-25T13:17:17.000Z | 2021-01-25T13:17:17.000Z | """
DUNE CVN generator module.
"""
__version__ = '1.0'
__author__ = 'Saul Alonso-Monsalve, Leigh Howard Whitehead'
__email__ = "saul.alonso.monsalve@cern.ch, leigh.howard.whitehead@cern.ch"
import numpy as np
import zlib
class DataGenerator(object):
''' Generate data for tf.keras.
'''
def __init__(self, ... | 32.941176 | 104 | 0.574702 | 3,136 | 0.933333 | 844 | 0.25119 | 0 | 0 | 0 | 0 | 1,405 | 0.418155 |
57dcfbeaa86e0a7c3e91ecfd4e63ebdf3ea2ed9b | 2,139 | py | Python | car_classifier/utils.py | SaraLatif99/car-classification | 27b017e9cba66935c0f715d5584cfd7fe7bd4653 | [
"MIT"
] | 2 | 2020-03-21T19:26:39.000Z | 2021-06-14T18:45:10.000Z | car_classifier/utils.py | SaraLatif99/car-classification | 27b017e9cba66935c0f715d5584cfd7fe7bd4653 | [
"MIT"
] | null | null | null | car_classifier/utils.py | SaraLatif99/car-classification | 27b017e9cba66935c0f715d5584cfd7fe7bd4653 | [
"MIT"
] | 5 | 2020-02-26T13:35:23.000Z | 2022-03-11T20:05:34.000Z | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
def show_batch(ds: tf.data.Dataset,
classes: list,
rescale: bool = False,
size: tuple = (10, 10),
title: str = None):
"""
Function to show a batch of images including labels f... | 27.779221 | 94 | 0.580645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 779 | 0.364189 |
57dd47aedd8a524e75ea171983002bdec3519055 | 8,078 | py | Python | mc_states/grains/makina_grains.py | makinacorpus/makina-states | 8ae1ccd1a0b614a7f308229c07e1493b06f5883a | [
"BSD-3-Clause"
] | 18 | 2015-02-22T12:53:50.000Z | 2019-03-15T16:45:10.000Z | mc_states/grains/makina_grains.py | makinacorpus/makina-states | 8ae1ccd1a0b614a7f308229c07e1493b06f5883a | [
"BSD-3-Clause"
] | 20 | 2015-01-20T22:35:02.000Z | 2017-11-06T11:17:34.000Z | doc/sphinx/mc_states/grains/makina_grains.py | makinacorpus/makina-states | 8ae1ccd1a0b614a7f308229c07e1493b06f5883a | [
"BSD-3-Clause"
] | 5 | 2015-01-13T04:23:09.000Z | 2019-01-03T17:00:31.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Makina custom grains
=====================
makina.upstart
true if using upstart
makina.lxc
true if inside an lxc container
makina.docker
true if inside a docker container
makina.devhost_num
devhost num if any
'''
import os
import copy
import subprocess... | 26.837209 | 68 | 0.522035 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,612 | 0.323347 |
57ddb4b5d3ed3ad05cafa6472e006c6f0d350af7 | 1,390 | py | Python | scripts/devops_tasks/trust_proxy_cert.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | scripts/devops_tasks/trust_proxy_cert.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | scripts/devops_tasks/trust_proxy_cert.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | import requests
import os
EXISTING_ROOT_PEM = requests.certs.where()
root_dir = os.path.abspath(os.path.join(os.path.abspath(__file__), "..", "..", ".."))
LOCAL_DEV_CERT = os.path.abspath(os.path.join(root_dir, 'eng', 'common', 'testproxy', 'dotnet-devcert.crt'))
COMBINED_FILENAME = os.path.basename(LOCAL_DEV_CERT).s... | 34.75 | 108 | 0.697122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 297 | 0.213669 |
57dfafb9e8933dbd5e630eaa629e5d73f23115df | 1,866 | py | Python | tests/onegov/wtfs/test_fields.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/wtfs/test_fields.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/wtfs/test_fields.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from cgi import FieldStorage
from datetime import date
from io import BytesIO
from onegov.core.utils import Bunch
from onegov.form import Form
from onegov.wtfs.fields import HintField
from onegov.wtfs.fields import MunicipalityDataUploadField
class PostData(dict):
def getlist(self, key):
v = self[key]
... | 29.15625 | 76 | 0.663987 | 153 | 0.081774 | 0 | 0 | 0 | 0 | 0 | 0 | 297 | 0.158739 |
57e0f15da3397b04339d70c34758b935f92d1d00 | 3,339 | py | Python | lattice_gauge_theory/cluster.py | saforem2/lattice_gauge_theory | 600ce4d7d520c5b54a49b6c13086e577704b38ec | [
"MIT"
] | 4 | 2019-01-04T04:59:35.000Z | 2021-08-24T16:38:16.000Z | lattice_gauge_theory/cluster.py | saforem2/lattice_gauge_theory | 600ce4d7d520c5b54a49b6c13086e577704b38ec | [
"MIT"
] | null | null | null | lattice_gauge_theory/cluster.py | saforem2/lattice_gauge_theory | 600ce4d7d520c5b54a49b6c13086e577704b38ec | [
"MIT"
] | 2 | 2018-12-13T10:49:36.000Z | 2020-11-17T15:42:35.000Z | class Cluster(object):
""" Object for grouping sets of sites. """
def __init__(self, sites):
"""
Initialize a cluster instance.
Args:
sites (list(Site)): The list of sites that make up the cluster.
Returns:
None
"""
self.sites = set(site... | 29.289474 | 79 | 0.542677 | 3,335 | 0.998802 | 0 | 0 | 0 | 0 | 0 | 0 | 1,345 | 0.402815 |
57e57da0d0ba47a4766076fdde40ebae4111f44b | 2,156 | py | Python | airflow_server/dags/cbs.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | null | null | null | airflow_server/dags/cbs.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | 15 | 2021-08-22T11:53:47.000Z | 2022-02-21T17:09:53.000Z | airflow_server/dags/cbs.py | ephraimberkovitch/anyway-etl | e5b4b8c18ef9899c8edbdbc8bfecc933b56c892b | [
"MIT"
] | 5 | 2021-07-20T22:19:35.000Z | 2022-02-22T09:44:25.000Z | from airflow import DAG
from airflow.utils.dates import days_ago
from anyway_etl_airflow.operators.cli_bash_operator import CliBashOperator
dag_kwargs = dict(
default_args={
'owner': 'airflow',
},
schedule_interval='@weekly',
catchup=False,
start_date=days_ago(2),
)
with DAG('cbs', **da... | 39.2 | 126 | 0.612709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,166 | 0.540816 |
57e9214f569a136ae9aadc59ca630b01df45985d | 1,069 | py | Python | automation/devops_automation_infra/utils/s3.py | AnyVisionltd/devops-automation-infra | 7d6e75dc96ffa53d07e1dbd2c4ddb0fcdcf92cd1 | [
"MIT"
] | 2 | 2021-03-10T14:52:24.000Z | 2021-03-10T18:50:20.000Z | automation/devops_automation_infra/utils/s3.py | solganik/devops-automation-infra | 2ef2ac80a52d2f2abd037ad24cbf7f98b0c50bc6 | [
"MIT"
] | 4 | 2021-03-14T11:30:11.000Z | 2022-01-30T16:01:41.000Z | automation/devops_automation_infra/utils/s3.py | solganik/devops-automation-infra | 2ef2ac80a52d2f2abd037ad24cbf7f98b0c50bc6 | [
"MIT"
] | 5 | 2021-03-10T14:52:14.000Z | 2021-11-17T16:00:18.000Z | import os
import boto3
from automation_infra.utils import concurrently
from functools import partial
def clear_bucket(boto3_client, bucket_name):
boto3_client.delete_bucket(Bucket=bucket_name)
def clear_all_buckets(boto3_client):
bucket_names = [bucket['Name'] for bucket in boto3_client.list_buckets()['Buck... | 39.592593 | 114 | 0.77362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.075772 |