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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
be4037367a1afa83a7501ca75f082c616c63c62c | 625 | py | Python | ros_tf_publisher.py | BrightLamp/PyLearningCodes | ed237528c41ab2a9832b88806732097ffae0a0ed | [
"MIT"
] | null | null | null | ros_tf_publisher.py | BrightLamp/PyLearningCodes | ed237528c41ab2a9832b88806732097ffae0a0ed | [
"MIT"
] | null | null | null | ros_tf_publisher.py | BrightLamp/PyLearningCodes | ed237528c41ab2a9832b88806732097ffae0a0ed | [
"MIT"
] | null | null | null | # encoding=utf-8
import rospy
import tf
if __name__ == '__main__':
rospy.init_node('py_tf_broadcaster')
br = tf.TransformBroadcaster()
x = 0.0
y = 0.0
z = 0.0
roll = 0
pitch = 0
yaw = 1.57
rate = rospy.Rate(1)
while not rospy.is_shutdown():
yaw = yaw + 0.1
roll... | 24.038462 | 84 | 0.5104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.175739 |
be40e740adf7c24c5c205687723b024d4eaf9752 | 2,674 | py | Python | dataset_manager/technical_indicators.py | NightingaleV/bakalarska_prace-ann-algotrading | 07866e092cb527a7e1d9d7050790d9ffd611dc83 | [
"MIT"
] | null | null | null | dataset_manager/technical_indicators.py | NightingaleV/bakalarska_prace-ann-algotrading | 07866e092cb527a7e1d9d7050790d9ffd611dc83 | [
"MIT"
] | null | null | null | dataset_manager/technical_indicators.py | NightingaleV/bakalarska_prace-ann-algotrading | 07866e092cb527a7e1d9d7050790d9ffd611dc83 | [
"MIT"
] | null | null | null | # Imports
import numpy as np
class TechnicalIndicators:
cci_constant = 0.015
def __init__(self):
self.df = None
# Exponentially-weighted moving average
def ewma(self, periods):
indicator = 'EWMA{}'.format(periods)
self.df[indicator] = self.df['close'].ewm(span=periods).mean()... | 31.093023 | 71 | 0.5819 | 2,642 | 0.988033 | 0 | 0 | 1,303 | 0.487285 | 0 | 0 | 266 | 0.099476 |
be4201706e45a3d4dd6cd9622ea3645d54ac325f | 440 | py | Python | users/models.py | makutas/CocktailWebsite | c5192e5fc2b750a32500f5c3421ed07e89c9c7e1 | [
"MIT"
] | null | null | null | users/models.py | makutas/CocktailWebsite | c5192e5fc2b750a32500f5c3421ed07e89c9c7e1 | [
"MIT"
] | null | null | null | users/models.py | makutas/CocktailWebsite | c5192e5fc2b750a32500f5c3421ed07e89c9c7e1 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
class UserProfile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
user_description = models.CharField(max_length=200, null=True)
user_avatar = models.ImageField(null=True, blank=True)
user_uploaded_rec... | 31.428571 | 77 | 0.747727 | 364 | 0.827273 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.111364 |
be43dfd884e7a14b827d8c59b29470159f680616 | 5,332 | py | Python | deploy/trained_model.py | Samyak005/Multi-Hop-QG | 15cc794a48ac9df058689c410007ea52b0e12a6a | [
"MIT"
] | null | null | null | deploy/trained_model.py | Samyak005/Multi-Hop-QG | 15cc794a48ac9df058689c410007ea52b0e12a6a | [
"MIT"
] | null | null | null | deploy/trained_model.py | Samyak005/Multi-Hop-QG | 15cc794a48ac9df058689c410007ea52b0e12a6a | [
"MIT"
] | null | null | null |
import torch
import logging
# Transformer version 4.9.1 - Newer versions may not work.
from transformers import AutoTokenizer
from trained_gpt_model import get_inference2
def t5_supp_inference(review_text):
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') # CPU may not work, got to check.
... | 33.534591 | 225 | 0.69036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,492 | 0.27961 |
be44513cd298d38b88ee6e7730ed73cc8a97d105 | 5,979 | py | Python | parlai/agents/drqa/config.py | shagunsodhani/ParlAI | 5b634b844807372adfb0f6d6e5c42341ac8138f0 | [
"BSD-3-Clause"
] | 1 | 2017-06-26T07:46:33.000Z | 2017-06-26T07:46:33.000Z | parlai/agents/drqa/config.py | shagunsodhani/ParlAI | 5b634b844807372adfb0f6d6e5c42341ac8138f0 | [
"BSD-3-Clause"
] | null | null | null | parlai/agents/drqa/config.py | shagunsodhani/ParlAI | 5b634b844807372adfb0f6d6e5c42341ac8138f0 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import os
import sys
import... | 51.102564 | 80 | 0.616993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,770 | 0.463288 |
be44bd30d7e94517cda605e3c7b74f2c0cefb67c | 4,919 | py | Python | gen4service/gen4bean.py | yongli82/CodeGenerator | 4ca9255c3c4c5392e45815fd20f605ccbbfd2325 | [
"MIT"
] | null | null | null | gen4service/gen4bean.py | yongli82/CodeGenerator | 4ca9255c3c4c5392e45815fd20f605ccbbfd2325 | [
"MIT"
] | null | null | null | gen4service/gen4bean.py | yongli82/CodeGenerator | 4ca9255c3c4c5392e45815fd20f605ccbbfd2325 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
reload(sys)
sys.path.append("..")
sys.setdefaultencoding('utf-8')
from jinja2 import Environment
from jinja2 import Template
import re
from sqlalchemy import schema, types
from sqlalchemy.engine import create_engine
import yyutil
import CodeGen
project_... | 32.793333 | 87 | 0.795893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,149 | 0.843464 |
be451445b545eb79b0e3f43bb3bb14e581f5720c | 2,333 | py | Python | Log_tao.py | zigzax/Basic_Python | d9d3256f2ac627e6e98991f73ab67ef8fcc4172d | [
"MIT"
] | null | null | null | Log_tao.py | zigzax/Basic_Python | d9d3256f2ac627e6e98991f73ab67ef8fcc4172d | [
"MIT"
] | null | null | null | Log_tao.py | zigzax/Basic_Python | d9d3256f2ac627e6e98991f73ab67ef8fcc4172d | [
"MIT"
] | null | null | null | Python 3.9.0 (tags/v3.9.0:9cf6752, Oct 5 2020, 15:34:40) [MSC v.1927 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> import turtle
>>> tao = turtle.Turtle()
>>> tao.shape('turtle')
>>> tao.forward(100)
>>> tao.left(90)
>>> tao.forward(100)
>>> tao.left(90)
... | 16.089655 | 95 | 0.562366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.034291 |
be451a5cb8b5c7262021b6003b4a6ffdd2ef5a5f | 424 | py | Python | run.py | pome-ta/CodeMirror | ef39c3032ea128d988c263ed97851860db9f977c | [
"MIT"
] | null | null | null | run.py | pome-ta/CodeMirror | ef39c3032ea128d988c263ed97851860db9f977c | [
"MIT"
] | null | null | null | run.py | pome-ta/CodeMirror | ef39c3032ea128d988c263ed97851860db9f977c | [
"MIT"
] | null | null | null | """
Pythonista3 app CodeMirror
"""
import pythonista.wkwebview as wkwebview
import ui
import pathlib
uri = pathlib.Path('./main_index.html')
class View(ui.View):
def __init__(self):
self.wv = wkwebview.WKWebView(flex='WH')
self.wv.load_url(str(uri))
self.add_subview(self.wv)
def will_close(self):
... | 16.96 | 60 | 0.707547 | 199 | 0.46934 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.186321 |
be466292d2d3ccf1cddc1f8ecf7d02c60e49df95 | 1,363 | py | Python | gen_cnn_dataset.py | NPCai/graphene-py | 50163eb65f55c25a3d090bad03e34304b1cb3037 | [
"MIT"
] | 5 | 2018-09-10T15:33:51.000Z | 2020-07-28T05:46:59.000Z | gen_cnn_dataset.py | NPCai/graphene-py | 50163eb65f55c25a3d090bad03e34304b1cb3037 | [
"MIT"
] | null | null | null | gen_cnn_dataset.py | NPCai/graphene-py | 50163eb65f55c25a3d090bad03e34304b1cb3037 | [
"MIT"
] | null | null | null | import wrapper as w
from multiprocessing import Process
import atexit
import time
from queue import Queue
''' 8 Processes, 24 threads per process = 192 threads '''
NUM_PROCESSES = 8
workerList = [] # Worker processes
class Worker(Process): # Need multiple threads or else it takes forever
def __init__(self, queue):... | 26.72549 | 74 | 0.726339 | 519 | 0.380778 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.267058 |
be47030ab919977e3706aa43ef448dd537100bbd | 2,702 | py | Python | torch/_prims/context.py | EikanWang/pytorch | 823ddb6e87e8111c9b5a99523503172e5bf62c49 | [
"Intel"
] | null | null | null | torch/_prims/context.py | EikanWang/pytorch | 823ddb6e87e8111c9b5a99523503172e5bf62c49 | [
"Intel"
] | 1 | 2022-01-10T18:39:28.000Z | 2022-01-10T19:15:57.000Z | torch/_prims/context.py | HaoZeke/pytorch | 4075972c2675ef34fd85efd60c9bad75ad06d386 | [
"Intel"
] | null | null | null | from typing import Callable, Sequence, Any, Dict
import functools
import torch
import torch.overrides
from torch._prims.utils import torch_function_passthrough
import torch._refs as refs
import torch._refs
import torch._refs.nn
import torch._refs.nn.functional
import torch._refs.special
import torch._prims
# TOD... | 28.442105 | 81 | 0.650259 | 1,291 | 0.477794 | 0 | 0 | 776 | 0.287195 | 0 | 0 | 900 | 0.333087 |
be47dbc95464f47bb2c554b62349cf2699343260 | 1,868 | py | Python | search/tests/test_read_similarities.py | cotsog/pathways-backend | 9231731359fc97833dbdbca33ac23eebeac4f715 | [
"BSD-3-Clause"
] | null | null | null | search/tests/test_read_similarities.py | cotsog/pathways-backend | 9231731359fc97833dbdbca33ac23eebeac4f715 | [
"BSD-3-Clause"
] | null | null | null | search/tests/test_read_similarities.py | cotsog/pathways-backend | 9231731359fc97833dbdbca33ac23eebeac4f715 | [
"BSD-3-Clause"
] | null | null | null | from django.test import TestCase
from search.read_similarities import build_manual_similarity_map
from common.testhelpers.random_test_values import a_string, a_float
class TestReadingManualTaskSimilarities(TestCase):
def test_convert_matrix_to_map_from_topic_to_array_of_services(self):
data = [
... | 32.206897 | 81 | 0.571734 | 1,699 | 0.909529 | 0 | 0 | 0 | 0 | 0 | 0 | 354 | 0.189507 |
be47eadfdaf03e7261eb7070f1efcdf27e299506 | 7,535 | py | Python | fortuna/fortuna.py | Zabamund/HackCPH18 | 3855547824c6277ca6f4e7b97c3ad0b3829e266b | [
"MIT"
] | 3 | 2018-06-09T08:03:31.000Z | 2018-11-23T20:18:06.000Z | fortuna/fortuna.py | Zabamund/HackCPH18 | 3855547824c6277ca6f4e7b97c3ad0b3829e266b | [
"MIT"
] | 1 | 2020-03-30T20:23:17.000Z | 2020-03-30T20:23:17.000Z | fortuna/fortuna.py | Zabamund/HackCPH18 | 3855547824c6277ca6f4e7b97c3ad0b3829e266b | [
"MIT"
] | 2 | 2018-06-09T06:45:53.000Z | 2018-06-09T15:36:36.000Z | """
Fortuna
Python project to visualize uncertatinty in probabilistic exploration models.
Created on 09/06/2018
@authors: Natalia Shchukina, Graham Brew, Marco van Veen, Behrooz Bashokooh, Tobias Stål, Robert Leckenby
"""
# Import libraries
import numpy as np
import glob
from matplotlib import pyplot as plt
import... | 34.56422 | 145 | 0.584871 | 7,127 | 0.945727 | 0 | 0 | 0 | 0 | 0 | 0 | 2,173 | 0.288349 |
be47eb6ac22a5716a180d2587e75ad448943ea4f | 1,104 | py | Python | resize.py | Linx3/6.867-Final-Project | 374d7093159be0bc524b291bacad52741f6bdc95 | [
"MIT"
] | 3 | 2019-12-27T12:18:29.000Z | 2020-02-10T22:40:36.000Z | resize.py | Linx3/6.867-Final-Project | 374d7093159be0bc524b291bacad52741f6bdc95 | [
"MIT"
] | null | null | null | resize.py | Linx3/6.867-Final-Project | 374d7093159be0bc524b291bacad52741f6bdc95 | [
"MIT"
] | 2 | 2019-12-29T02:11:29.000Z | 2020-02-10T19:49:41.000Z | from PIL import Image
# open an image file (.bmp,.jpg,.png,.gif) you have in the working folder
# //imageFile = "03802.png"
import os
arr=os.listdir()
for imageFile in arr:
if "png" in imageFile:
im1 = Image.open(imageFile)
# adjust width and height to your needs
width = 416
heigh... | 36.8 | 113 | 0.600543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 656 | 0.594203 |
be483eb33f37e53a2e55abe5acc6cd622141fb6c | 200 | py | Python | src/game/exceptions.py | UnBParadigmas/2020.1_G2_SMA_DarwInPython | 34cdc979a95f827f230bd4f13442f6c67d81ba2b | [
"MIT"
] | null | null | null | src/game/exceptions.py | UnBParadigmas/2020.1_G2_SMA_DarwInPython | 34cdc979a95f827f230bd4f13442f6c67d81ba2b | [
"MIT"
] | 1 | 2020-11-20T10:32:49.000Z | 2020-11-20T10:32:49.000Z | src/game/exceptions.py | UnBParadigmas/2020.1_G2_SMA_DarwInPython | 34cdc979a95f827f230bd4f13442f6c67d81ba2b | [
"MIT"
] | null | null | null | class InvalidMovementException(Exception):
pass
class InvalidMovementTargetException(InvalidMovementException):
pass
class InvalidMovimentOriginException(InvalidMovementException):
pass | 22.222222 | 63 | 0.84 | 195 | 0.975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
be4ff442cd8f9b517de533a73d5af1571d1d4790 | 2,517 | py | Python | src/pipeline/sentence-retrieval/run.py | simonepri/fever-transformers | 3e9c57b0b4e781f318438d48589a56db709124c4 | [
"MIT"
] | 8 | 2020-05-03T08:40:24.000Z | 2022-01-25T18:47:44.000Z | src/pipeline/sentence-retrieval/run.py | simonepri/fever-transformers | 3e9c57b0b4e781f318438d48589a56db709124c4 | [
"MIT"
] | null | null | null | src/pipeline/sentence-retrieval/run.py | simonepri/fever-transformers | 3e9c57b0b4e781f318438d48589a56db709124c4 | [
"MIT"
] | 3 | 2020-05-02T20:21:45.000Z | 2022-01-25T18:48:28.000Z | #!/usr/bin/env python3
import argparse
import bisect
import csv
import json
import os
from collections import defaultdict
from functools import reduce
from tqdm import tqdm
def get_best_evidence(scores_file, max_sentences_per_claim):
weighted_claim_evidence = defaultdict(lambda: [])
with open(scores_file, "... | 40.596774 | 109 | 0.65594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.09853 |
be514c5db015a36e1e21cf77afc4f28e841509a0 | 4,455 | py | Python | bot/__main__.py | KOTBOTS/Telegram-CloneBot | 446d66ba46817f784e8de2b8bd2966865ee1965f | [
"MIT"
] | 1 | 2021-11-10T05:06:00.000Z | 2021-11-10T05:06:00.000Z | bot/__main__.py | KOTBOTS/Telegram-CloneBot | 446d66ba46817f784e8de2b8bd2966865ee1965f | [
"MIT"
] | null | null | null | bot/__main__.py | KOTBOTS/Telegram-CloneBot | 446d66ba46817f784e8de2b8bd2966865ee1965f | [
"MIT"
] | 1 | 2022-01-30T08:50:28.000Z | 2022-01-30T08:50:28.000Z | from telegram.ext import CommandHandler, run_async
from bot.gDrive import GoogleDriveHelper
from bot.fs_utils import get_readable_file_size
from bot import LOGGER, dispatcher, updater, bot
from bot.config import BOT_TOKEN, OWNER_ID, GDRIVE_FOLDER_ID
from bot.decorators import is_authorised, is_owner
from telegram.error... | 40.87156 | 265 | 0.655892 | 0 | 0 | 0 | 0 | 3,371 | 0.748945 | 0 | 0 | 1,573 | 0.349478 |
be520ba7720ed297f3538b6906896f4c66ca61d8 | 8,180 | py | Python | src/pyfinlab/risk_models.py | AnaSan27/pyfinlab | 509cc9544af5e1a5b2b642eca9ae02d383dd743c | [
"BSD-3-Clause"
] | 1 | 2021-10-05T19:34:34.000Z | 2021-10-05T19:34:34.000Z | src/pyfinlab/risk_models.py | AnaSan27/pyfinlab | 509cc9544af5e1a5b2b642eca9ae02d383dd743c | [
"BSD-3-Clause"
] | null | null | null | src/pyfinlab/risk_models.py | AnaSan27/pyfinlab | 509cc9544af5e1a5b2b642eca9ae02d383dd743c | [
"BSD-3-Clause"
] | null | null | null | import pandas as pd
import numpy as np
from portfoliolab.utils import RiskMetrics
from portfoliolab.estimators import RiskEstimators
from pypfopt import risk_models as risk_models_
"""
Available covariance risk models in PortfolioLab library.
https://hudson-and-thames-portfoliolab-pro.readthedocs-hosted.com/en/latest... | 49.575758 | 121 | 0.718093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,407 | 0.416504 |
be53ecbf1f6e947fe3a12409a789c5940cb5ceed | 2,516 | py | Python | gaussian_blur/gaussian_blur.py | Soft-illusion/ComputerVision | 9afaa9eafef8ac47fdb1023c5332cff98626f1bd | [
"MIT"
] | null | null | null | gaussian_blur/gaussian_blur.py | Soft-illusion/ComputerVision | 9afaa9eafef8ac47fdb1023c5332cff98626f1bd | [
"MIT"
] | null | null | null | gaussian_blur/gaussian_blur.py | Soft-illusion/ComputerVision | 9afaa9eafef8ac47fdb1023c5332cff98626f1bd | [
"MIT"
] | null | null | null | import cv2 as cv
import sys
import numpy as np
import random as r
import os
from PIL import Image as im
def noisy(noise_typ,image):
if noise_typ == "gauss":
# Generate Gaussian noise
gauss = np.random.normal(0,1,image.size)
print(gauss)
gauss = gauss.reshape(image.shape[0],image.sh... | 32.675325 | 91 | 0.598967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 566 | 0.22496 |
be55e1c8b12cbd1b4bd83120c737d0990e906ce2 | 3,223 | py | Python | citywok_ms/employee/routes.py | fossabot/CityWok-Manager | ccd31eb684ddeec5c741c9520c779d98eb0e3cc6 | [
"MIT"
] | null | null | null | citywok_ms/employee/routes.py | fossabot/CityWok-Manager | ccd31eb684ddeec5c741c9520c779d98eb0e3cc6 | [
"MIT"
] | null | null | null | citywok_ms/employee/routes.py | fossabot/CityWok-Manager | ccd31eb684ddeec5c741c9520c779d98eb0e3cc6 | [
"MIT"
] | null | null | null | from citywok_ms.file.models import EmployeeFile, File
import citywok_ms.employee.messages as employee_msg
import citywok_ms.file.messages as file_msg
from citywok_ms.employee.forms import EmployeeForm
from citywok_ms.file.forms import FileForm
from flask import Blueprint, flash, redirect, render_template, url_for
from ... | 33.926316 | 85 | 0.714552 | 0 | 0 | 0 | 0 | 2,771 | 0.859758 | 0 | 0 | 429 | 0.133106 |
be5634f2d2873fa0b75fded2fda0cc44792517a3 | 9,041 | py | Python | kitsune/customercare/cron.py | safwanrahman/Ford | 87e91dea1cc22b1759eea81cef069359ccb5cd0b | [
"BSD-3-Clause"
] | 1 | 2017-07-03T12:11:03.000Z | 2017-07-03T12:11:03.000Z | kitsune/customercare/cron.py | feer56/Kitsune1 | 0b39cbc41cb7a067699ce8401d80205dd7c5138d | [
"BSD-3-Clause"
] | 8 | 2020-06-05T18:42:14.000Z | 2022-03-11T23:26:51.000Z | kitsune/customercare/cron.py | safwanrahman/Ford | 87e91dea1cc22b1759eea81cef069359ccb5cd0b | [
"BSD-3-Clause"
] | null | null | null | import calendar
from datetime import datetime, timedelta
import json
import logging
import re
import rfc822
from django.conf import settings
from django.db.utils import IntegrityError
import cronjobs
from multidb.pinning import pin_this_thread
from statsd import statsd
from twython import Twython
from kitsune.custom... | 32.289286 | 79 | 0.605243 | 0 | 0 | 0 | 0 | 5,648 | 0.62471 | 0 | 0 | 3,190 | 0.352837 |
be5740f5f8c7bb04c4a6f3ebc3c04afbcec0a250 | 1,333 | py | Python | setup.py | nrcmedia/pdfrw | 2a3c9caded906b7ca71f1a338673a24f90eb0e5c | [
"MIT"
] | 2 | 2015-01-16T18:07:34.000Z | 2015-11-01T05:07:15.000Z | setup.py | nrcmedia/pdfrw | 2a3c9caded906b7ca71f1a338673a24f90eb0e5c | [
"MIT"
] | null | null | null | setup.py | nrcmedia/pdfrw | 2a3c9caded906b7ca71f1a338673a24f90eb0e5c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from distutils.core import setup
try:
import setuptools
except:
pass
setup(
name='pdfrw',
version='0.1',
description='PDF file reader/writer library',
long_description='''
pdfrw lets you read and write PDF files, including
compositing multiple pages together (e.g. to do w... | 31 | 65 | 0.675919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 958 | 0.71868 |
be5b35007ab39510b966782ec2dccb27e2f0b068 | 2,429 | py | Python | checkAnnotation.py | ZZIDZZ/pytorch-ssd | 8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9 | [
"MIT"
] | null | null | null | checkAnnotation.py | ZZIDZZ/pytorch-ssd | 8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9 | [
"MIT"
] | null | null | null | checkAnnotation.py | ZZIDZZ/pytorch-ssd | 8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9 | [
"MIT"
] | null | null | null | import argparse
import sys
import cv2
import os
import os.path as osp
import numpy as np
if sys.version_info[0] == 2:
import xml.etree.cElementTree as ET
else:
import xml.etree.ElementTree as ET
parser = argparse.ArgumentParser(
description='Single Shot MultiBox Detector ... | 29.987654 | 84 | 0.588308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.221902 |
be5b3780be0df5ceef2f2e2a8a4f5c6573838a4e | 3,215 | py | Python | src/oci/identity_data_plane/models/password_reset_authentication_request.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/identity_data_plane/models/password_reset_authentication_request.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/identity_data_plane/models/password_reset_authentication_request.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 31.519608 | 245 | 0.675894 | 2,675 | 0.832037 | 0 | 0 | 2,705 | 0.841369 | 0 | 0 | 2,022 | 0.628927 |
be5d745da0aee12618b5456e7d8cbede2e23e222 | 656 | py | Python | venv/lib/python3.7/site-packages/convertdate/dublin.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/convertdate/dublin.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/convertdate/dublin.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# This file is part of convertdate.
# http://github.com/fitnr/convertdate
# Licensed under the MIT license:
# http://opensource.org/licenses/MIT
# Copyright (c) 2016, fitnr <fitnr@fakeisthenewreal>
'''Convert to and from the Dublin day count'''
from . import daycount
EPOCH = 2415020 # Juli... | 19.878788 | 54 | 0.762195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 299 | 0.455793 |
be5dd7bfd950d236cdb2d9db1cde1c0dbae6c636 | 5,250 | py | Python | tests/functional/controllers/test_group_controller_superuser.py | roscisz/TensorHive | 4a680f47a0ee1ce366dc82ad9964e229d9749c4e | [
"Apache-2.0"
] | 129 | 2017-08-25T11:45:15.000Z | 2022-03-29T05:11:25.000Z | tests/functional/controllers/test_group_controller_superuser.py | roscisz/TensorHive | 4a680f47a0ee1ce366dc82ad9964e229d9749c4e | [
"Apache-2.0"
] | 251 | 2017-07-27T10:05:58.000Z | 2022-03-02T12:46:13.000Z | tests/functional/controllers/test_group_controller_superuser.py | roscisz/TensorHive | 4a680f47a0ee1ce366dc82ad9964e229d9749c4e | [
"Apache-2.0"
] | 20 | 2017-08-13T13:05:14.000Z | 2022-03-19T02:21:37.000Z | from tensorhive.models.Group import Group
from fixtures.controllers import API_URI as BASE_URI, HEADERS
from http import HTTPStatus
from importlib import reload
import json
import auth_patcher
ENDPOINT = BASE_URI + '/groups'
def setup_module(_):
auth_patches = auth_patcher.get_patches(superuser=True)
for au... | 32.012195 | 117 | 0.717714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 743 | 0.141524 |
be5e4769d08439109a7dee5ae6c729de8b3ba612 | 1,232 | py | Python | code/generate_thought_vectors.py | midas-research/text2facegan | 3770333f16234fc9328d8254d1c1112fad15a16c | [
"MIT"
] | 23 | 2020-04-09T19:17:46.000Z | 2021-04-13T13:46:06.000Z | code/generate_thought_vectors.py | midas-research/text2facegan | 3770333f16234fc9328d8254d1c1112fad15a16c | [
"MIT"
] | 3 | 2020-02-16T16:21:38.000Z | 2021-05-22T13:18:57.000Z | code/generate_thought_vectors.py | midas-research/text2facegan | 3770333f16234fc9328d8254d1c1112fad15a16c | [
"MIT"
] | 7 | 2020-02-27T22:27:33.000Z | 2021-03-16T06:03:32.000Z | import os
from os.path import join, isfile
import re
import numpy as np
import pickle
import argparse
import skipthoughts
import h5py
def main():
parser = argparse.ArgumentParser()
#parser.add_argument('--caption_file', type=str, default='Data/sample_captions.txt',
# help='caption file')
parser.add_argumen... | 30.8 | 115 | 0.728896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.376623 |
be5f92734068facbaab6ebcd59a70aae8bdb395f | 415 | py | Python | venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py | Svesnav2/Discord-Bot-Minecraft-server-status | ee34948e741930567a3adb557197523f9d32ace1 | [
"Unlicense"
] | null | null | null | venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py | Svesnav2/Discord-Bot-Minecraft-server-status | ee34948e741930567a3adb557197523f9d32ace1 | [
"Unlicense"
] | null | null | null | venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py | Svesnav2/Discord-Bot-Minecraft-server-status | ee34948e741930567a3adb557197523f9d32ace1 | [
"Unlicense"
] | null | null | null | """Parsing responses from the difficulty command."""
from mcipc.rcon.functions import boolmap
__all__ = ['parse']
SET = 'The difficulty has been set to (\\w+)'
UNCHANGED = 'The difficulty did not change; it is already set to (\\w+)'
def parse(text: str) -> bool:
"""Parses a boolean value from the text
re... | 21.842105 | 72 | 0.684337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0.590361 |
be6134b8d63935100cb7803033cbd22148a4202a | 1,558 | py | Python | eth/beacon/aggregation.py | Bhargavasomu/py-evm | ee8f72d5a70805575a967cde0a43942e1526264e | [
"MIT"
] | null | null | null | eth/beacon/aggregation.py | Bhargavasomu/py-evm | ee8f72d5a70805575a967cde0a43942e1526264e | [
"MIT"
] | null | null | null | eth/beacon/aggregation.py | Bhargavasomu/py-evm | ee8f72d5a70805575a967cde0a43942e1526264e | [
"MIT"
] | null | null | null | from typing import (
Iterable,
Tuple,
)
from cytoolz import (
pipe
)
from eth._utils import bls
from eth._utils.bitfield import (
set_voted,
)
from eth.beacon.enums import SignatureDomain
from eth.beacon.typing import (
BLSPubkey,
BLSSignature,
Bitfield,
CommitteeIndex,
)
def verify_v... | 23.253731 | 68 | 0.662388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 168 | 0.107831 |
be6143e65d151cdd084aada126448567dcd0c1d7 | 7,090 | py | Python | src/server/bos/controllers/v1/components.py | Cray-HPE/bos | a4a7fc58c884d951b6051093e1a4e2aeaba6740f | [
"MIT"
] | 1 | 2022-03-15T18:17:11.000Z | 2022-03-15T18:17:11.000Z | src/server/bos/controllers/v1/components.py | Cray-HPE/bos | a4a7fc58c884d951b6051093e1a4e2aeaba6740f | [
"MIT"
] | null | null | null | src/server/bos/controllers/v1/components.py | Cray-HPE/bos | a4a7fc58c884d951b6051093e1a4e2aeaba6740f | [
"MIT"
] | 1 | 2022-03-06T12:47:06.000Z | 2022-03-06T12:47:06.000Z | # Copyright 2021 Hewlett Packard Enterprise Development LP
#
# 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, modif... | 36.173469 | 82 | 0.687729 | 0 | 0 | 0 | 0 | 4,500 | 0.634697 | 0 | 0 | 2,678 | 0.377715 |
be629e4dd47b9de924dd51caddb573587b68e29b | 268 | py | Python | cracking_the_coding_interview_qs/10.4/find_x_in_listy_test.py | angelusualle/algorithms | 86286a49db2a755bc57330cb455bcbd8241ea6be | [
"Apache-2.0"
] | null | null | null | cracking_the_coding_interview_qs/10.4/find_x_in_listy_test.py | angelusualle/algorithms | 86286a49db2a755bc57330cb455bcbd8241ea6be | [
"Apache-2.0"
] | null | null | null | cracking_the_coding_interview_qs/10.4/find_x_in_listy_test.py | angelusualle/algorithms | 86286a49db2a755bc57330cb455bcbd8241ea6be | [
"Apache-2.0"
] | null | null | null | import unittest
from find_x_in_listy import find_x_in_listy, Listy
class Test_Case_Find_X_In_Listy(unittest.TestCase):
def test_case_find_x_in_listy(self):
listy = Listy(list(range(0, 1*10**8)))
self.assertEqual(find_x_in_listy(listy, 5678), 5678) | 38.285714 | 60 | 0.761194 | 200 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
be62c8d9e725078536f0891cffbcc08c85ff6f54 | 979 | py | Python | my_general_helpers.py | arminbahl/drosophila_phototaxis_paper | e01dc95675f835926c9104b34bf6cfd7244dee2b | [
"MIT"
] | null | null | null | my_general_helpers.py | arminbahl/drosophila_phototaxis_paper | e01dc95675f835926c9104b34bf6cfd7244dee2b | [
"MIT"
] | null | null | null | my_general_helpers.py | arminbahl/drosophila_phototaxis_paper | e01dc95675f835926c9104b34bf6cfd7244dee2b | [
"MIT"
] | null | null | null | from scipy.signal import butter,filtfilt
from numba import jit
import bisect
def is_number_in_sorted_vector(sorted_vector, num):
index = bisect.bisect_left(sorted_vector, num)
return index != len(sorted_vector) and sorted_vector[index] == num
# def butter_lowpass(cutoff, fs, order=5):
# nyq = 0.5 * fs
# ... | 27.971429 | 86 | 0.684372 | 0 | 0 | 0 | 0 | 266 | 0.271706 | 0 | 0 | 234 | 0.239019 |
be644a96343b814a2cf63e0bf374f535055ecf7e | 6,856 | py | Python | test/mitmproxy/addons/test_proxyserver.py | KarlParkinson/mitmproxy | fd5caf40c75ca73c4b767170497abf6a5bf016a0 | [
"MIT"
] | 24,939 | 2015-01-01T17:13:21.000Z | 2022-03-31T17:50:04.000Z | test/mitmproxy/addons/test_proxyserver.py | KarlParkinson/mitmproxy | fd5caf40c75ca73c4b767170497abf6a5bf016a0 | [
"MIT"
] | 3,655 | 2015-01-02T12:31:43.000Z | 2022-03-31T20:24:57.000Z | test/mitmproxy/addons/test_proxyserver.py | KarlParkinson/mitmproxy | fd5caf40c75ca73c4b767170497abf6a5bf016a0 | [
"MIT"
] | 3,712 | 2015-01-06T06:47:06.000Z | 2022-03-31T10:33:27.000Z | import asyncio
from contextlib import asynccontextmanager
import pytest
from mitmproxy import exceptions
from mitmproxy.addons.proxyserver import Proxyserver
from mitmproxy.connection import Address
from mitmproxy.proxy import layers, server_hooks
from mitmproxy.proxy.layers.http import HTTPMode
from mitmproxy.test i... | 35.895288 | 111 | 0.622666 | 459 | 0.066949 | 238 | 0.034714 | 5,088 | 0.742124 | 4,983 | 0.726809 | 1,277 | 0.18626 |
be64e074af6729b6171d5eed328bc46d2d983abb | 19,608 | py | Python | tensorflow_probability/python/distributions/masked.py | mederrata/probability | bc6c411b0fbd83141f303f91a27343fe3c43a797 | [
"Apache-2.0"
] | 1 | 2022-03-22T11:56:31.000Z | 2022-03-22T11:56:31.000Z | tensorflow_probability/python/distributions/masked.py | robot0102/probability | 89d248c420b8ecabfd9d6de4a1aa8d3886920049 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/distributions/masked.py | robot0102/probability | 89d248c420b8ecabfd9d6de4a1aa8d3886920049 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The TensorFlow Probability Authors.
#
# 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 o... | 41.719149 | 88 | 0.708588 | 12,845 | 0.65509 | 0 | 0 | 3,400 | 0.173399 | 0 | 0 | 8,435 | 0.430182 |
be665281e674fbcee73480a5a06334a427283318 | 1,254 | py | Python | download.py | kaija/taiwan_stockloader | 637244c3b0bc96093cc5a7b3df093a829f9e3c2d | [
"MIT"
] | 2 | 2015-06-13T09:17:46.000Z | 2015-10-25T15:31:33.000Z | download.py | kaija/taiwan_stockloader | 637244c3b0bc96093cc5a7b3df093a829f9e3c2d | [
"MIT"
] | null | null | null | download.py | kaija/taiwan_stockloader | 637244c3b0bc96093cc5a7b3df093a829f9e3c2d | [
"MIT"
] | 3 | 2016-02-01T07:36:55.000Z | 2018-08-03T12:22:20.000Z | import datetime
import httplib
import urllib
from datetime import timedelta
#now = datetime.datetime.now();
#today = now.strftime('%Y-%m-%d')
#print today
def isfloat(value):
try:
float(value)
return True
except ValueError:
return False
def convfloat(value):
try:
return float(value)
except ValueError:
... | 23.660377 | 93 | 0.692185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 404 | 0.322169 |
be665e63998c0015bc21386a7c5b3385196a6cfb | 5,403 | py | Python | heuristic/improvement/reopt/disruption_updater.py | annalunde/master | 2552d43713e8ebca0b0e57bc5bebd1eaeeac1875 | [
"MIT"
] | 1 | 2022-03-17T15:40:00.000Z | 2022-03-17T15:40:00.000Z | heuristic/improvement/reopt/disruption_updater.py | annalunde/master | 2552d43713e8ebca0b0e57bc5bebd1eaeeac1875 | [
"MIT"
] | null | null | null | heuristic/improvement/reopt/disruption_updater.py | annalunde/master | 2552d43713e8ebca0b0e57bc5bebd1eaeeac1875 | [
"MIT"
] | null | null | null | import copy
import pandas as pd
from decouple import config
from heuristic.construction.construction import ConstructionHeuristic
from config.construction_config import *
from simulation.simulator import Simulator
from heuristic.improvement.reopt.new_request_updater import NewRequestUpdater
class DisruptionUpdater:
... | 40.931818 | 117 | 0.626504 | 5,107 | 0.945216 | 0 | 0 | 706 | 0.130668 | 0 | 0 | 388 | 0.071812 |
be687c8fd20a0765459343471aaeb0dc60aa0c2b | 666 | py | Python | evennia/scripts/migrations/0013_auto_20191025_0831.py | Jaykingamez/evennia | cf7cab1fea99ede3efecb70a65c3eb0fba1d3745 | [
"BSD-3-Clause"
] | 1,544 | 2015-01-01T22:16:31.000Z | 2022-03-31T19:17:45.000Z | evennia/scripts/migrations/0013_auto_20191025_0831.py | Jaykingamez/evennia | cf7cab1fea99ede3efecb70a65c3eb0fba1d3745 | [
"BSD-3-Clause"
] | 1,686 | 2015-01-02T18:26:31.000Z | 2022-03-31T20:12:03.000Z | evennia/scripts/migrations/0013_auto_20191025_0831.py | Jaykingamez/evennia | cf7cab1fea99ede3efecb70a65c3eb0fba1d3745 | [
"BSD-3-Clause"
] | 867 | 2015-01-02T21:01:54.000Z | 2022-03-29T00:28:27.000Z | # Generated by Django 2.2.6 on 2019-10-25 12:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("scripts", "0012_auto_20190128_1820")]
operations = [
migrations.AlterField(
model_name="scriptdb",
name="db_typeclass_path",
... | 28.956522 | 150 | 0.587087 | 573 | 0.86036 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.366366 |
be6ac11cc08ea3cf2a70097fa4537b051b80fea9 | 834 | py | Python | tests/test_pyqrcodeng_issue13.py | dbajar/segno | f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5 | [
"BSD-3-Clause"
] | 254 | 2016-09-25T21:32:00.000Z | 2022-03-30T09:56:14.000Z | tests/test_pyqrcodeng_issue13.py | dbajar/segno | f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5 | [
"BSD-3-Clause"
] | 102 | 2016-08-04T12:18:44.000Z | 2022-03-23T09:09:51.000Z | tests/test_pyqrcodeng_issue13.py | dbajar/segno | f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5 | [
"BSD-3-Clause"
] | 34 | 2016-09-25T21:34:42.000Z | 2022-03-30T08:19:03.000Z | # -*- coding: utf-8 -*-
#
# Copyright (c) 2016 - 2020 -- Lars Heuer
# All rights reserved.
#
# License: BSD License
#
"""\
Test against issue <https://github.com/pyqrcode/pyqrcodeNG/pull/13/>.
The initial test was created by Mathieu <https://github.com/albatros69>,
see the above mentioned pull request.
Adapted for Se... | 21.947368 | 72 | 0.681055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 423 | 0.505981 |
be6b1f866bc5d3fdc38f4e9b6fd3e9f0bcf0235f | 384 | py | Python | qiskit/quantum_info/operators/__init__.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | qiskit/quantum_info/operators/__init__.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | qiskit/quantum_info/operators/__init__.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Quantum Operators."""
from .operator import Operator
from .unitary import Unitary
from .pauli import Pauli, pauli_group
f... | 27.428571 | 77 | 0.742188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.552083 |
be6d27c87017d3ff2b758a9a1954cf3e265b550c | 554 | py | Python | iocms/iocms/urls.py | Gaurav-Zaiswal/iw-acad-iocms-be | a133f120eed93433925608f08c5145d2d0d1db39 | [
"MIT"
] | null | null | null | iocms/iocms/urls.py | Gaurav-Zaiswal/iw-acad-iocms-be | a133f120eed93433925608f08c5145d2d0d1db39 | [
"MIT"
] | null | null | null | iocms/iocms/urls.py | Gaurav-Zaiswal/iw-acad-iocms-be | a133f120eed93433925608f08c5145d2d0d1db39 | [
"MIT"
] | 2 | 2021-09-16T04:44:59.000Z | 2021-09-16T05:45:31.000Z | from django.contrib import admin
from django.urls import include, path
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('class/', include('classroom.urls')),
path('assignment-api/', include('assignment.urls', namespace='assign... | 36.933333 | 80 | 0.720217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.247292 |
be6f16523ef2463524119c42f75567ed0f66d560 | 1,905 | py | Python | src/security/__init__.py | slippers/blogging_security_flatpage | 53644978b798c66369416b1e5625cc04d89c0a87 | [
"MIT"
] | 1 | 2018-12-31T05:30:13.000Z | 2018-12-31T05:30:13.000Z | src/security/__init__.py | slippers/blogging_security_flatpage | 53644978b798c66369416b1e5625cc04d89c0a87 | [
"MIT"
] | null | null | null | src/security/__init__.py | slippers/blogging_security_flatpage | 53644978b798c66369416b1e5625cc04d89c0a87 | [
"MIT"
] | null | null | null | from src import app, db
from .models import User, Role, RoleUsers
from .security_admin import UserAdmin, RoleAdmin
from flask_security import Security, SQLAlchemyUserDatastore, \
login_required, roles_accepted
from flask_security.utils import encrypt_password
def config_security_admin(admin):
admin.add_view(U... | 40.531915 | 83 | 0.752756 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 755 | 0.396325 |
be6f25ab250ddab2ab944a4c759bdf74b87010ce | 12,251 | py | Python | usaspending_api/download/lookups.py | lenjonemcse/usaspending-api | cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce | [
"CC0-1.0"
] | 1 | 2022-01-28T16:08:04.000Z | 2022-01-28T16:08:04.000Z | usaspending_api/download/lookups.py | lenjonemcse/usaspending-api | cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce | [
"CC0-1.0"
] | null | null | null | usaspending_api/download/lookups.py | lenjonemcse/usaspending-api | cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce | [
"CC0-1.0"
] | null | null | null | """
This file defines a series of constants that represent the values used in
the API's "helper" tables.
Rather than define the values in the db setup scripts and then make db calls to
lookup the surrogate keys, we'll define everything here, in a file that can be
used by the db setup scripts *and* the application code... | 42.835664 | 105 | 0.691862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,691 | 0.546159 |
be70bab0d740612dff3c9c4f650b4e73f95cd9c5 | 1,985 | py | Python | python/modules/mysql_server.py | 91-jinrong/-91_monitor | e0325229bffbb0df20d9337925b591eee8ac0289 | [
"Apache-2.0"
] | 1 | 2015-03-30T06:25:59.000Z | 2015-03-30T06:25:59.000Z | python/modules/mysql_server.py | 91-jinrong/91_monitor | e0325229bffbb0df20d9337925b591eee8ac0289 | [
"Apache-2.0"
] | null | null | null | python/modules/mysql_server.py | 91-jinrong/91_monitor | e0325229bffbb0df20d9337925b591eee8ac0289 | [
"Apache-2.0"
] | null | null | null | #!/bin/env python
#-*-coding:utf-8-*-
import os
import sys
import string
import time
import datetime
import MySQLdb
class MySQL:
def __int__(self,host,port,user,passwd,dbname,timeout,charset):
self.host = host
self.port = port
self.user = user
self.passwd = passwd
self.dbnam... | 31.507937 | 156 | 0.624181 | 1,866 | 0.94005 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.04131 |
be71f6b56c912c07678325e23f7389ad744e9921 | 149 | py | Python | Ethan File/Carrentsystem/Carrentsystem/test.py | hklhfong/Car-Rental-System | 3a4844eea8e9dbf85f4ce62b5115772f48277240 | [
"Apache-2.0"
] | null | null | null | Ethan File/Carrentsystem/Carrentsystem/test.py | hklhfong/Car-Rental-System | 3a4844eea8e9dbf85f4ce62b5115772f48277240 | [
"Apache-2.0"
] | null | null | null | Ethan File/Carrentsystem/Carrentsystem/test.py | hklhfong/Car-Rental-System | 3a4844eea8e9dbf85f4ce62b5115772f48277240 | [
"Apache-2.0"
] | null | null | null | import sqlite3
conn = sqlite3.connect("db")
cur = conn.cursor()
cur.execute("select * from CAR_ID limit 5;")
results = cur.fetchall()
print(results)
| 21.285714 | 44 | 0.724832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.234899 |
be72c9a20697c3fb3a739104db43d4e053b51e7c | 249 | py | Python | tests/integration/hub_usage/dummyhub_slow/__init__.py | abreu4/jina | d1d045e9e0933dffb3bd668cb9cfebab6cd52202 | [
"Apache-2.0"
] | 2 | 2021-01-22T07:34:35.000Z | 2021-01-23T04:36:41.000Z | tests/integration/hub_usage/dummyhub_slow/__init__.py | abreu4/jina | d1d045e9e0933dffb3bd668cb9cfebab6cd52202 | [
"Apache-2.0"
] | 4 | 2020-09-01T17:47:27.000Z | 2021-04-16T23:11:57.000Z | tests/integration/hub_usage/dummyhub_slow/__init__.py | abreu4/jina | d1d045e9e0933dffb3bd668cb9cfebab6cd52202 | [
"Apache-2.0"
] | null | null | null | import time
from jina.executors.crafters import BaseCrafter
from .helper import foo
class DummyHubExecutorSlow(BaseCrafter):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
time.sleep(15)
foo()
| 19.153846 | 47 | 0.678715 | 161 | 0.646586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
be7401e08d215565703c4b9fa33b7d5e7ca05a69 | 8,827 | py | Python | src/evaluation_utils.py | philipp-hess/deep-learning-for-heavy-rainfall | dbec03245dd8db0c5f2f53af014b8dd8d80f245c | [
"MIT"
] | null | null | null | src/evaluation_utils.py | philipp-hess/deep-learning-for-heavy-rainfall | dbec03245dd8db0c5f2f53af014b8dd8d80f245c | [
"MIT"
] | null | null | null | src/evaluation_utils.py | philipp-hess/deep-learning-for-heavy-rainfall | dbec03245dd8db0c5f2f53af014b8dd8d80f245c | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from scipy.stats import spearmanr
from sklearn.metrics import f1_score, precision_score, recall_score
from IPython.display import display, clear_output
from sklearn.metrics import confusion_matrix
import scipy.stats as st
def continuous_to_categorical_with_quantiles(data: np.nda... | 32.814126 | 116 | 0.605528 | 3,383 | 0.383256 | 0 | 0 | 0 | 0 | 0 | 0 | 1,705 | 0.193157 |
be74846aa8bb878ca4aaee267b213fd10335d381 | 1,709 | py | Python | poloniex_apis/api_models/deposit_withdrawal_history.py | xJuggl3r/anapolo | 5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b | [
"MIT"
] | null | null | null | poloniex_apis/api_models/deposit_withdrawal_history.py | xJuggl3r/anapolo | 5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b | [
"MIT"
] | null | null | null | poloniex_apis/api_models/deposit_withdrawal_history.py | xJuggl3r/anapolo | 5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b | [
"MIT"
] | null | null | null | from collections import defaultdict
from poloniex_apis.api_models.ticker_price import TickerData
class DWHistory:
def __init__(self, history):
self.withdrawals = defaultdict(float)
self.deposits = defaultdict(float)
self.history = history
def get_dw_history(self):
for deposit... | 39.744186 | 87 | 0.599181 | 1,607 | 0.940316 | 0 | 0 | 0 | 0 | 0 | 0 | 173 | 0.101229 |
be748f98db9ba8c29d78f47f7af4dd25c01061b7 | 7,320 | py | Python | app/handler.py | vnrag/aws-pipeline-dashboard | 679af73f8e777990840bc829a014e205f0c94ac0 | [
"BSD-3-Clause"
] | null | null | null | app/handler.py | vnrag/aws-pipeline-dashboard | 679af73f8e777990840bc829a014e205f0c94ac0 | [
"BSD-3-Clause"
] | null | null | null | app/handler.py | vnrag/aws-pipeline-dashboard | 679af73f8e777990840bc829a014e205f0c94ac0 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime,timezone
import sys
import boto3
import json
def pipeline_event(event, context):
state = get_final_state(event)
if state is None:
return
event_time = datetime.strptime(event['time'], '%Y-%m-%dT%H:%M:%SZ').replace(tzinfo=timezone.utc)
metric_data = []
if eve... | 35.882353 | 396 | 0.593579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,420 | 0.330601 |
be74f9e10e7b3e7db834044fe7d0389031a09884 | 4,507 | py | Python | cogs/commands.py | sudo-do/discord-chatbot | 970af7d8b9275a518396648ebe5c33c291370d6a | [
"MIT"
] | 1 | 2021-05-14T08:01:53.000Z | 2021-05-14T08:01:53.000Z | cogs/commands.py | sudo-do/discord-chatbot | 970af7d8b9275a518396648ebe5c33c291370d6a | [
"MIT"
] | null | null | null | cogs/commands.py | sudo-do/discord-chatbot | 970af7d8b9275a518396648ebe5c33c291370d6a | [
"MIT"
] | null | null | null | import discord
import sqlite3
from discord.ext import commands
conn= sqlite3.connect("dbs/main.db")
class Commands(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
@commands.cooldown(1, 30, commands.BucketType.guild)
@commands.has_permissions(manage_channels=True)
async def setchann... | 36.942623 | 292 | 0.676503 | 4,357 | 0.966718 | 0 | 0 | 4,272 | 0.947859 | 3,851 | 0.854449 | 1,985 | 0.440426 |
be75b53bc3cf75e488408e710557a7588ee69c9c | 6,210 | py | Python | poetry/console/commands/self/update.py | mgasner/poetry | 44221689e05feb0cc93c231096334f8eefbf86fc | [
"MIT"
] | null | null | null | poetry/console/commands/self/update.py | mgasner/poetry | 44221689e05feb0cc93c231096334f8eefbf86fc | [
"MIT"
] | null | null | null | poetry/console/commands/self/update.py | mgasner/poetry | 44221689e05feb0cc93c231096334f8eefbf86fc | [
"MIT"
] | null | null | null | import hashlib
import os
import shutil
import subprocess
import sys
import tarfile
from functools import cmp_to_key
from gzip import GzipFile
try:
from urllib.error import HTTPError
from urllib.request import urlopen
except ImportError:
from urllib2 import HTTPError
from urllib2 import urlopen
from c... | 27.972973 | 90 | 0.54847 | 5,812 | 0.93591 | 0 | 0 | 334 | 0.053784 | 0 | 0 | 901 | 0.145089 |
be75c777b16f1617c2f87efa99ed969f4c41aed6 | 1,192 | py | Python | osp/test/corpus/syllabus/test_text.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 220 | 2016-01-22T21:19:02.000Z | 2022-01-25T04:33:55.000Z | osp/test/corpus/syllabus/test_text.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 14 | 2016-01-23T14:34:39.000Z | 2016-09-19T19:58:37.000Z | osp/test/corpus/syllabus/test_text.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 14 | 2016-02-03T13:47:48.000Z | 2019-03-27T13:09:05.000Z |
from osp.corpus.syllabus import Syllabus
from osp.test.utils import requires_tika
def test_empty(mock_osp):
"""
Should return None if the file is empty.
"""
path = mock_osp.add_file(content='', ftype='plain')
syllabus = Syllabus(path)
assert syllabus.text == None
def test_plaintext(mock... | 18.060606 | 65 | 0.645134 | 0 | 0 | 0 | 0 | 235 | 0.197148 | 0 | 0 | 361 | 0.302852 |
be763dff688768c2aba41209e3bec63f50ee2a53 | 19,099 | py | Python | boa_test/tests/test_ico_template.py | mixbee/neo-boa | da7366c26c7b8e60afb9ac27439a1da37b0be355 | [
"MIT"
] | 4 | 2018-08-22T03:30:34.000Z | 2019-04-16T10:54:08.000Z | boa_test/tests/test_ico_template.py | mixbee/neo-boa | da7366c26c7b8e60afb9ac27439a1da37b0be355 | [
"MIT"
] | 3 | 2018-09-03T09:19:26.000Z | 2019-01-24T00:06:29.000Z | boa_test/tests/test_ico_template.py | mixbee/neo-boa | da7366c26c7b8e60afb9ac27439a1da37b0be355 | [
"MIT"
] | 12 | 2018-07-19T06:36:44.000Z | 2019-05-13T05:45:58.000Z | from boa_test.tests.boa_test import BoaFixtureTest
from boa.compiler import Compiler
from neo.Core.TX.Transaction import Transaction
from neo.Prompt.Commands.BuildNRun import TestBuild
from neo.EventHub import events
from neo.SmartContract.SmartContractEvent import SmartContractEvent, NotifyEvent
from neo.Settings impo... | 51.899457 | 202 | 0.673857 | 18,453 | 0.966176 | 0 | 0 | 881 | 0.046128 | 0 | 0 | 3,340 | 0.174878 |
be76f999496b5e5961109377d7a8e9bebf2c7e1e | 2,576 | py | Python | regexem.py | lvijay/ilc | 1c3b1381e7e5a5064bda829e3d34bfaf24745d1a | [
"BSD-3-Clause-No-Nuclear-Warranty"
] | 1 | 2019-01-03T17:44:11.000Z | 2019-01-03T17:44:11.000Z | regexem.py | lvijay/ilc | 1c3b1381e7e5a5064bda829e3d34bfaf24745d1a | [
"BSD-3-Clause-No-Nuclear-Warranty"
] | null | null | null | regexem.py | lvijay/ilc | 1c3b1381e7e5a5064bda829e3d34bfaf24745d1a | [
"BSD-3-Clause-No-Nuclear-Warranty"
] | null | null | null | #!/usr/bin/python
# -*- mode: python; -*-
## This file is part of Indian Language Converter
## Copyright (C) 2006 Vijay Lakshminarayanan <liyer.vijay@gmail.com>
## Indian Language Converter is free software; you can redistribute it
## and/or modify it under the terms of the GNU General Public License
## as published... | 33.025641 | 77 | 0.632376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,695 | 0.657997 |
be7730b08647563bbdf351876a21f2fa9df7d7f9 | 3,765 | py | Python | main.py | rohit-k-das/crowdstrike-alerts | 48c23357f819f90134f76cefb58f1355967363d4 | [
"MIT"
] | 3 | 2019-07-10T17:05:56.000Z | 2019-10-18T22:34:08.000Z | main.py | rohit-k-das/crowdstrike-alerts | 48c23357f819f90134f76cefb58f1355967363d4 | [
"MIT"
] | 1 | 2020-01-09T14:43:58.000Z | 2020-02-06T11:24:04.000Z | main.py | rohit-k-das/crowdstrike-alerts | 48c23357f819f90134f76cefb58f1355967363d4 | [
"MIT"
] | 2 | 2019-07-10T17:05:57.000Z | 2019-10-18T22:34:09.000Z | import requests
import crowdstrike_detection as crowdstrike
import logging
import click
import urllib.parse
import ConfigParser
import os
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(name)-15s [%(levelname)-8s]: %(message)s',
datefmt='%m/%d/%Y %I:%M:%S %p')
logger = logging.get... | 41.373626 | 176 | 0.661355 | 0 | 0 | 0 | 0 | 451 | 0.119788 | 0 | 0 | 1,208 | 0.32085 |
be7756c046d0e49be191bd99222501f37d6b8b9a | 92 | py | Python | connexion/http_facts.py | lumikanta/connexion | b6530d32aaee92ebbdfef501540d642a26185174 | [
"Apache-2.0"
] | null | null | null | connexion/http_facts.py | lumikanta/connexion | b6530d32aaee92ebbdfef501540d642a26185174 | [
"Apache-2.0"
] | null | null | null | connexion/http_facts.py | lumikanta/connexion | b6530d32aaee92ebbdfef501540d642a26185174 | [
"Apache-2.0"
] | 1 | 2019-03-21T18:21:32.000Z | 2019-03-21T18:21:32.000Z | FORM_CONTENT_TYPES = [
'application/x-www-form-urlencoded',
'multipart/form-data'
]
| 18.4 | 40 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.608696 |
be775d3a62274c2c57f452dafb16e1035b3dff0c | 4,593 | py | Python | Test3/yandexAPI3.py | klepik1990/YandexTestAPI | ded41ff607c0b209b51efbcaa13c8008156a5e0a | [
"MIT"
] | null | null | null | Test3/yandexAPI3.py | klepik1990/YandexTestAPI | ded41ff607c0b209b51efbcaa13c8008156a5e0a | [
"MIT"
] | null | null | null | Test3/yandexAPI3.py | klepik1990/YandexTestAPI | ded41ff607c0b209b51efbcaa13c8008156a5e0a | [
"MIT"
] | null | null | null | import requests
import json
HEADERS = {"Authorization": "OAuth AgAAAAA00Se2AAW1W1yCegavqkretMXBGkoUUQk", "Accept": "*/*"}
URL = "https://cloud-api.yandex.net:443/v1/disk/"
def get_folder_info(folder_name_1, folder_name_2, url=None, headers=None):
"""Получение информации о статусе папок на диске
Args:
... | 33.282609 | 125 | 0.674069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,275 | 0.589559 |
be78c46e8b283fc835a189209cd53b3fea610e40 | 3,208 | py | Python | app/users/operator/views.py | trinanda/AQUR | 2a415b05ba4c0113b05b6fa14fb454af2bad52ec | [
"MIT"
] | null | null | null | app/users/operator/views.py | trinanda/AQUR | 2a415b05ba4c0113b05b6fa14fb454af2bad52ec | [
"MIT"
] | null | null | null | app/users/operator/views.py | trinanda/AQUR | 2a415b05ba4c0113b05b6fa14fb454af2bad52ec | [
"MIT"
] | null | null | null | import os
from collections import defaultdict
from flask import render_template
from flask_login import login_required
from sqlalchemy import and_
from app import db
from app.decorators import operator_required
from app.models import Student, MonthNameList, Course, PaymentStatus, Payment, Teacher, Schedule
from app.u... | 40.1 | 118 | 0.711658 | 0 | 0 | 0 | 0 | 2,855 | 0.889963 | 0 | 0 | 639 | 0.19919 |
be7b321e4983f3461ae58d22d3131016ec26c37d | 5,936 | py | Python | arvet/core/metric.py | jskinn/arvet | 742cf3e7ee8848c4efebfaa887fc9c0fd90a06e9 | [
"BSD-2-Clause"
] | 2 | 2021-05-27T21:48:34.000Z | 2021-06-12T02:58:44.000Z | arvet/core/metric.py | jskinn/arvet | 742cf3e7ee8848c4efebfaa887fc9c0fd90a06e9 | [
"BSD-2-Clause"
] | null | null | null | arvet/core/metric.py | jskinn/arvet | 742cf3e7ee8848c4efebfaa887fc9c0fd90a06e9 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2017, John Skinner
import abc
import typing
import bson
import pymodm
import pymodm.fields as fields
import arvet.database.pymodm_abc as pymodm_abc
from arvet.database.reference_list_field import ReferenceListField
import arvet.core.trial_result
class Metric(pymodm.MongoModel, metaclass=pymodm_abc.ABC... | 37.56962 | 117 | 0.657008 | 4,586 | 0.772574 | 0 | 0 | 2,825 | 0.47591 | 0 | 0 | 3,386 | 0.570418 |
be7e9dc9b18c9759a533f45fd2110a059eb361f0 | 19,192 | py | Python | pfile/accessor.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 4 | 2016-12-17T20:06:10.000Z | 2021-11-19T04:45:29.000Z | pfile/accessor.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 11 | 2021-01-06T05:35:11.000Z | 2022-03-11T23:28:31.000Z | pfile/accessor.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 3 | 2015-06-12T10:44:16.000Z | 2021-07-26T18:39:47.000Z | """File access utils"""
__author__ = 'thorwhalen'
# from ut.datapath import datapath
import pickle
import os
from ut.util.importing import get_environment_variable
import pandas as pd
import ut.pfile.to as file_to
import ut.pfile.name as pfile_name
import ut.pstr.to as pstr_to
from ut.serialize.local import Local
from... | 41.90393 | 125 | 0.634275 | 13,789 | 0.718476 | 0 | 0 | 0 | 0 | 0 | 0 | 5,588 | 0.291163 |
be7ea94dc71a3948ab59fd9c3e80bde2599bb1f1 | 4,309 | py | Python | scripts/statistics.py | cstenkamp/MastersThesisText | d026f9c19819c83d99dfff12b594db9d061bfb31 | [
"CC0-1.0"
] | null | null | null | scripts/statistics.py | cstenkamp/MastersThesisText | d026f9c19819c83d99dfff12b594db9d061bfb31 | [
"CC0-1.0"
] | null | null | null | scripts/statistics.py | cstenkamp/MastersThesisText | d026f9c19819c83d99dfff12b594db9d061bfb31 | [
"CC0-1.0"
] | null | null | null | import subprocess
import git
from os.path import dirname, join, abspath
import pandas as pd
from matplotlib import pyplot as plt
import requests
import io
import zipfile
import tempfile
from datetime import timedelta
FILENAME = join(dirname(__file__), "..", "thesis.tex")
DISP_PAGESMAX = 80
DISP_WORDSMAX = 10000
def ... | 38.132743 | 144 | 0.637503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 836 | 0.194013 |
be7ef9e5cafc81c92530c829cae514f567ffa39a | 1,966 | py | Python | setup.py | TheFraserLab/enrich_pvalues | 6c5065da5e6367cc39a045afbdfa1e78322857a6 | [
"MIT"
] | 1 | 2019-03-25T17:38:47.000Z | 2019-03-25T17:38:47.000Z | setup.py | TheFraserLab/enrich_pvalues | 6c5065da5e6367cc39a045afbdfa1e78322857a6 | [
"MIT"
] | null | null | null | setup.py | TheFraserLab/enrich_pvalues | 6c5065da5e6367cc39a045afbdfa1e78322857a6 | [
"MIT"
] | null | null | null | """Installation instructions for enrich_pvalues."""
import os
from setuptools import setup
import enrich_pvalues # For version
VERSION=enrich_pvalues.__version__
GITHUB='https://github.com/MikeDacre/enrich_pvalues'
with open('requirements.txt') as fin:
REQUIREMENTS = [
i[0] for i in [j.split('>=') for j... | 28.085714 | 77 | 0.61648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,019 | 0.518311 |
be7fa8fa9510f2347bc60a9ff146e619c5f6dc1c | 11,457 | py | Python | homeschool/students/tests/test_forms.py | brandonmcclure/homeschool | 6ba2e35014740e952222535e9492cde0d41338b4 | [
"MIT"
] | null | null | null | homeschool/students/tests/test_forms.py | brandonmcclure/homeschool | 6ba2e35014740e952222535e9492cde0d41338b4 | [
"MIT"
] | null | null | null | homeschool/students/tests/test_forms.py | brandonmcclure/homeschool | 6ba2e35014740e952222535e9492cde0d41338b4 | [
"MIT"
] | null | null | null | import datetime
from homeschool.courses.tests.factories import (
CourseFactory,
CourseTaskFactory,
GradedWorkFactory,
)
from homeschool.schools.tests.factories import GradeLevelFactory
from homeschool.students.forms import CourseworkForm, EnrollmentForm, GradeForm
from homeschool.students.models import Cou... | 36.141956 | 87 | 0.639696 | 10,940 | 0.954875 | 0 | 0 | 0 | 0 | 0 | 0 | 1,426 | 0.124465 |
be7fc184a7b92d4ec6db9908dc208989d6e4f546 | 23,144 | py | Python | Mining_Projects/getAllProjects_Parallel.py | ai-se/heroes_compsci | 613fd623a6da073b2c62c773ed902acb0c756809 | [
"MIT"
] | null | null | null | Mining_Projects/getAllProjects_Parallel.py | ai-se/heroes_compsci | 613fd623a6da073b2c62c773ed902acb0c756809 | [
"MIT"
] | 12 | 2019-12-17T04:04:19.000Z | 2019-12-26T20:23:02.000Z | Mining_Projects/getAllProjects_Parallel.py | ai-se/heroes_compsci | 613fd623a6da073b2c62c773ed902acb0c756809 | [
"MIT"
] | 1 | 2020-03-12T22:19:48.000Z | 2020-03-12T22:19:48.000Z | """ @Author Jchakra"""
""" This code is to download project information using GitHub API (Following Amrit's Hero paper criteria of how to find good projects) """
from multiprocessing import Process,Lock
import time
import json
import requests
## Downloading all the projects
def func1():
repo_result = []
To... | 29.407878 | 169 | 0.527523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,357 | 0.188256 |
be8016a800ed48d86a67fbff5afe5ec6d0a2e6a3 | 2,173 | py | Python | examples/source/benchmarks/googlenet_model.py | ably77/dcos-tensorflow-tools | d434ff6c0cee6db9f62be583723dc2bee46ebbf2 | [
"Apache-2.0"
] | 7 | 2017-11-02T18:21:37.000Z | 2019-06-20T20:46:51.000Z | scripts/tf_cnn_benchmarks/googlenet_model.py | Aetf/tf_benchmarks | b473961620de1b03cb34902960c820e195bea678 | [
"Apache-2.0"
] | 7 | 2017-10-19T20:45:25.000Z | 2020-03-24T15:28:52.000Z | scripts/tf_cnn_benchmarks/googlenet_model.py | Aetf/tf_benchmarks | b473961620de1b03cb34902960c820e195bea678 | [
"Apache-2.0"
] | 4 | 2017-10-19T09:57:17.000Z | 2019-01-22T05:33:25.000Z | # Copyright 2017 The TensorFlow Authors. 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://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.465517 | 80 | 0.61942 | 1,191 | 0.54809 | 0 | 0 | 0 | 0 | 0 | 0 | 1,051 | 0.483663 |
be802497e70c37700eec284c7ee0e2b8f03f6401 | 60 | py | Python | demos/prey-predator/prey_predator_abm/sim_params.py | neo-empresarial/covid-19 | cef10ee79d955c9e84148c3c8da542788a1f7395 | [
"MIT"
] | 3 | 2020-05-26T12:17:48.000Z | 2020-06-25T12:03:37.000Z | demos/prey-predator/prey_predator_abm/sim_params.py | neo-empresarial/covid-19 | cef10ee79d955c9e84148c3c8da542788a1f7395 | [
"MIT"
] | 4 | 2020-05-26T21:03:44.000Z | 2020-06-30T12:13:15.000Z | demos/prey-predator/prey_predator_abm/sim_params.py | neo-empresarial/epidemiological-analysis | cef10ee79d955c9e84148c3c8da542788a1f7395 | [
"MIT"
] | 1 | 2021-11-22T23:10:45.000Z | 2021-11-22T23:10:45.000Z | """
Simulation parameters.
"""
SIMULATION_TIME_STEPS = 300
| 10 | 27 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.5 |
be82ffa5bc528b97777e4e4160bb45aca2d0d6ec | 12,669 | py | Python | process_ops.py | gcosne/generative_inpainting | 1ae50277e5815a4f0c1e339ede0dbfae8e5036d1 | [
"MIT"
] | 11 | 2018-11-16T04:29:06.000Z | 2019-07-25T08:11:47.000Z | process_ops.py | Yukariin/PEPSI | 91aea1ae6f528d92ee19007ed132d3482b3a98cc | [
"MIT"
] | null | null | null | process_ops.py | Yukariin/PEPSI | 91aea1ae6f528d92ee19007ed132d3482b3a98cc | [
"MIT"
] | 1 | 2019-07-16T18:52:49.000Z | 2019-07-16T18:52:49.000Z | import cv2
import numpy as np
try:
import scipy
# scipy.ndimage cannot be accessed until explicitly imported
from scipy import ndimage
except ImportError:
scipy = None
def flip_axis(x, axis):
x = np.asarray(x).swapaxes(axis, 0)
x = x[::-1, ...]
x = x.swapaxes(0, axis)
return x
def r... | 38.861963 | 127 | 0.591207 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,797 | 0.378641 |
be831484dedc63eae50e233ddb777cdbd9a06d19 | 1,093 | py | Python | keystone/tests/unit/token/test_provider.py | maestro-hybrid-cloud/keystone | a597a86b854215835a4d54885daeb161d7b0efb8 | [
"Apache-2.0"
] | null | null | null | keystone/tests/unit/token/test_provider.py | maestro-hybrid-cloud/keystone | a597a86b854215835a4d54885daeb161d7b0efb8 | [
"Apache-2.0"
] | null | null | null | keystone/tests/unit/token/test_provider.py | maestro-hybrid-cloud/keystone | a597a86b854215835a4d54885daeb161d7b0efb8 | [
"Apache-2.0"
] | null | null | null | # 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, software
# distributed under t... | 35.258065 | 75 | 0.751144 | 435 | 0.397987 | 0 | 0 | 0 | 0 | 0 | 0 | 534 | 0.488564 |
be84323ccf5c7d5239ba7b3bf5eba0ad7152ce2f | 2,927 | py | Python | fasm2bels/database/connection_db_utils.py | mithro/symbiflow-xc-fasm2bels | 9ed029558bedca4e726969427dc4e62ecd6d5733 | [
"ISC"
] | null | null | null | fasm2bels/database/connection_db_utils.py | mithro/symbiflow-xc-fasm2bels | 9ed029558bedca4e726969427dc4e62ecd6d5733 | [
"ISC"
] | null | null | null | fasm2bels/database/connection_db_utils.py | mithro/symbiflow-xc-fasm2bels | 9ed029558bedca4e726969427dc4e62ecd6d5733 | [
"ISC"
] | null | null | null | import functools
def create_maybe_get_wire(conn):
c = conn.cursor()
@functools.lru_cache(maxsize=None)
def get_tile_type_pkey(tile):
c.execute('SELECT pkey, tile_type_pkey FROM phy_tile WHERE name = ?',
(tile, ))
return c.fetchone()
@functools.lru_cache(maxsize=None... | 21.364964 | 86 | 0.618039 | 0 | 0 | 187 | 0.063888 | 789 | 0.269559 | 0 | 0 | 1,025 | 0.350188 |
be84a1cf98701b670f1ef999229373bd7e2f389c | 2,443 | py | Python | ppr-api/src/services/payment_service.py | bcgov/ppr-deprecated | c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3 | [
"Apache-2.0"
] | 1 | 2019-11-15T19:07:25.000Z | 2019-11-15T19:07:25.000Z | ppr-api/src/services/payment_service.py | bryan-gilbert/ppr | c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3 | [
"Apache-2.0"
] | 6 | 2021-03-03T05:18:35.000Z | 2022-02-10T21:55:45.000Z | ppr-api/src/services/payment_service.py | bcgov/ppr-deprecated | c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3 | [
"Apache-2.0"
] | null | null | null | """A module that provides functionality for accessing the Payments API."""
import enum
import http
import logging
import requests
from fastapi import Depends, Header, HTTPException
from fastapi.security.http import HTTPAuthorizationCredentials
import auth.authentication
import config
import schemas.payment
logger ... | 35.405797 | 110 | 0.677855 | 2,068 | 0.8465 | 0 | 0 | 0 | 0 | 0 | 0 | 712 | 0.291445 |
be84bdd8bc7a0db1a7baadae4ae6c5d55cf356e0 | 168 | py | Python | SmerekaRoman/HW_6/HW 6.3.py | kolyasalubov/Lv-639.pythonCore | 06f10669a188318884adb00723127465ebdf2907 | [
"MIT"
] | null | null | null | SmerekaRoman/HW_6/HW 6.3.py | kolyasalubov/Lv-639.pythonCore | 06f10669a188318884adb00723127465ebdf2907 | [
"MIT"
] | null | null | null | SmerekaRoman/HW_6/HW 6.3.py | kolyasalubov/Lv-639.pythonCore | 06f10669a188318884adb00723127465ebdf2907 | [
"MIT"
] | null | null | null | def numb_of_char(a):
d = {}
for char in set(a):
d[char] = a.count(char)
return d
a = numb_of_char(str(input("Input the word please: ")))
print(a)
| 16.8 | 55 | 0.577381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.14881 |
be876cf3ef298b948a6559bdc7b9b04da2062463 | 589 | py | Python | 0201-0300/0251-Flatten 2D Vector/0251-Flatten 2D Vector.py | jiadaizhao/LeetCode | 4ddea0a532fe7c5d053ffbd6870174ec99fc2d60 | [
"MIT"
] | 49 | 2018-05-05T02:53:10.000Z | 2022-03-30T12:08:09.000Z | 0201-0300/0251-Flatten 2D Vector/0251-Flatten 2D Vector.py | jolly-fellow/LeetCode | ab20b3ec137ed05fad1edda1c30db04ab355486f | [
"MIT"
] | 11 | 2017-12-15T22:31:44.000Z | 2020-10-02T12:42:49.000Z | 0201-0300/0251-Flatten 2D Vector/0251-Flatten 2D Vector.py | jolly-fellow/LeetCode | ab20b3ec137ed05fad1edda1c30db04ab355486f | [
"MIT"
] | 28 | 2017-12-05T10:56:51.000Z | 2022-01-26T18:18:27.000Z | class Vector2D:
def __init__(self, v: List[List[int]]):
def getIt():
for row in v:
for val in row:
yield val
self.it = iter(getIt())
self.val = next(self.it, None)
def next(self) -> int:
result = self.val
... | 22.653846 | 63 | 0.519525 | 453 | 0.7691 | 240 | 0.40747 | 0 | 0 | 0 | 0 | 129 | 0.219015 |
be87bd0c5c2ff868bb6a502f0a693e022ddbbafe | 1,049 | py | Python | logger_decorator.py | jbhayback/reconciliation-manager | 5de10a0ec89e397a4937d1764976c94cde06beee | [
"MIT"
] | null | null | null | logger_decorator.py | jbhayback/reconciliation-manager | 5de10a0ec89e397a4937d1764976c94cde06beee | [
"MIT"
] | null | null | null | logger_decorator.py | jbhayback/reconciliation-manager | 5de10a0ec89e397a4937d1764976c94cde06beee | [
"MIT"
] | null | null | null | from datetime import datetime
import inspect
def log_time(msg=None):
def decorator(f):
nonlocal msg
if msg is None:
msg = '{} time spent: '.format(f.__name__)
def inner(*args, **kwargs):
# check if the object has a logger
global logger
if ar... | 25.585366 | 84 | 0.530029 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.114395 |
be8915c20c303761d43a0098702f7e241e75e9c4 | 40 | py | Python | lf3py/di/__init__.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | null | null | null | lf3py/di/__init__.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | 48 | 2020-12-19T13:47:26.000Z | 2021-01-07T22:27:56.000Z | lf3py/di/__init__.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | null | null | null | from lf3py.di.di import DI # noqa F401
| 20 | 39 | 0.725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.275 |
be8a2d82d13baa6e60ff4dbca25351bcb2190394 | 1,418 | py | Python | critical/tasks.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 2 | 2020-06-06T06:50:38.000Z | 2022-02-03T08:54:28.000Z | critical/tasks.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 5 | 2018-12-17T11:12:20.000Z | 2020-11-27T10:28:51.000Z | critical/tasks.py | lenarother/django-critical-css | 15c12ea02f7ea049e59efba4d963c35f41f26d78 | [
"MIT"
] | 1 | 2021-08-19T06:02:44.000Z | 2021-08-19T06:02:44.000Z | import logging
from django.utils.safestring import mark_safe
from django_rq import job
from inline_static.css import transform_css_urls
logger = logging.getLogger(__name__)
@job
def calculate_critical_css(critical_id, original_path):
from .exceptions import CriticalException
from .models import Critical
... | 37.315789 | 94 | 0.74189 | 0 | 0 | 0 | 0 | 1,240 | 0.874471 | 0 | 0 | 238 | 0.167842 |
be8c87105d1db21be6f93eb2ae080ad460d99a47 | 1,837 | py | Python | test.py | wei2912/bce-simulation | 65c19051417c871bce4585481eb06c5ba986a96f | [
"MIT"
] | null | null | null | test.py | wei2912/bce-simulation | 65c19051417c871bce4585481eb06c5ba986a96f | [
"MIT"
] | 1 | 2016-11-06T11:50:45.000Z | 2016-11-06T11:53:49.000Z | test.py | wei2912/bce-simulation | 65c19051417c871bce4585481eb06c5ba986a96f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
"""
This script tests the simulations of the experiments.
"""
import math
from utils import coin_var, needle_var
def main():
needle_var_vals = [
(1.1, 1.0),
(1.4, 1.0),
(2.0, 1.0),
(2.9, 1.0),
(3.3, 1.0),
(5.0, 1.0)
]
... | 25.873239 | 108 | 0.491018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.132825 |
be8cef6fbad82834998e279653a3e939a968c9d8 | 2,244 | py | Python | instructions/instructions.py | fernandozanutto/PyNES | cb8d589ceb55cd7df0e114e726c6b6bbbc556172 | [
"Apache-2.0"
] | null | null | null | instructions/instructions.py | fernandozanutto/PyNES | cb8d589ceb55cd7df0e114e726c6b6bbbc556172 | [
"Apache-2.0"
] | null | null | null | instructions/instructions.py | fernandozanutto/PyNES | cb8d589ceb55cd7df0e114e726c6b6bbbc556172 | [
"Apache-2.0"
] | null | null | null | from addressing import *
from instructions.base_instructions import SetBit, ClearBit
from instructions.generic_instructions import Instruction
from status import Status
# set status instructions
class Sec(SetBit):
identifier_byte = bytes([0x38])
bit = Status.StatusTypes.carry
class Sei(SetBit):
identifi... | 25.213483 | 72 | 0.69385 | 1,988 | 0.885918 | 0 | 0 | 1,047 | 0.466578 | 0 | 0 | 52 | 0.023173 |
be8d24f272fa353fa6c9d0869d13de96b4754241 | 1,960 | py | Python | python/530.minimum-absolute-difference-in-bst.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | python/530.minimum-absolute-difference-in-bst.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | python/530.minimum-absolute-difference-in-bst.py | vermouth1992/Leetcode | 0d7dda52b12f9e01d88fc279243742cd8b4bcfd1 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=530 lang=python3
#
# [530] Minimum Absolute Difference in BST
#
# https://leetcode.com/problems/minimum-absolute-difference-in-bst/description/
#
# algorithms
# Easy (55.23%)
# Total Accepted: 115.5K
# Total Submissions: 209K
# Testcase Example: '[4,2,6,1,3]'
#
# Given the root of a Binary S... | 24.5 | 79 | 0.625 | 1,074 | 0.547959 | 0 | 0 | 0 | 0 | 0 | 0 | 938 | 0.478571 |
be8d50256f2d9fce8a7ed11893b6cad92bc5a14b | 2,769 | py | Python | tensorflow/python/eager/remote_cloud_tpu_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 26 | 2019-11-10T15:33:34.000Z | 2022-03-24T19:56:57.000Z | tensorflow/python/eager/remote_cloud_tpu_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 6 | 2022-01-15T07:17:47.000Z | 2022-02-14T15:28:22.000Z | tensorflow/python/eager/remote_cloud_tpu_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 6 | 2020-03-29T11:10:53.000Z | 2021-06-14T05:39:14.000Z | # Copyright 2019 The TensorFlow Authors. 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://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 36.434211 | 80 | 0.717949 | 542 | 0.195739 | 0 | 0 | 0 | 0 | 0 | 0 | 1,568 | 0.566269 |
be8db6395c3bc7d6f2f0df95f16ef512dceb29b7 | 1,418 | py | Python | test/functional/bsv-blocksize-params.py | gbtn/bitcoin-sv-gbtn | 8b09d1aa072da819fb3309b0be85dae0f1ac9549 | [
"MIT"
] | 3 | 2018-12-03T03:55:08.000Z | 2019-08-13T07:50:45.000Z | test/functional/bsv-blocksize-params.py | Chihuataneo/bitcoin-sv | d9b12a23dbf0d2afc5f488fa077d762b302ba873 | [
"MIT"
] | 1 | 2020-02-09T11:35:45.000Z | 2020-02-09T11:35:45.000Z | test/functional/bsv-blocksize-params.py | Chihuataneo/bitcoin-sv | d9b12a23dbf0d2afc5f488fa077d762b302ba873 | [
"MIT"
] | 1 | 2018-11-25T03:18:52.000Z | 2018-11-25T03:18:52.000Z | #!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Copyright (c) 2017 The Bitcoin developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Test that the blockmaxsize and excessiveblocksize paramete... | 34.585366 | 107 | 0.715797 | 790 | 0.557123 | 0 | 0 | 0 | 0 | 0 | 0 | 484 | 0.341326 |
be8eb4d6e0f2ba30a5412f64a491cd5cc3dcacad | 1,750 | py | Python | yotta/test/cli/outdated.py | headlessme/yotta | 947ab074b629c8f18ca91ab84ebaa29096b011c6 | [
"Apache-2.0"
] | null | null | null | yotta/test/cli/outdated.py | headlessme/yotta | 947ab074b629c8f18ca91ab84ebaa29096b011c6 | [
"Apache-2.0"
] | null | null | null | yotta/test/cli/outdated.py | headlessme/yotta | 947ab074b629c8f18ca91ab84ebaa29096b011c6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0
# See LICENSE file for details.
# standard library modules, , ,
import unittest
# internal modules:
from . import util
from . import cli
Test_Outdated = {
'module.json':'''{
"name": "test-outdated",
"version": "... | 27.777778 | 94 | 0.646286 | 795 | 0.454286 | 0 | 0 | 0 | 0 | 0 | 0 | 990 | 0.565714 |
be8eb9841690585b80bc1d8c7ae03dcd42ff539a | 208 | py | Python | geoposition/tests/urls.py | Starcross/django-geoposition | b2b3af2a1b73e0ce99e76f19b7f63f1a91f3e093 | [
"MIT"
] | null | null | null | geoposition/tests/urls.py | Starcross/django-geoposition | b2b3af2a1b73e0ce99e76f19b7f63f1a91f3e093 | [
"MIT"
] | 1 | 2020-02-03T17:10:55.000Z | 2020-02-03T17:10:55.000Z | geoposition/tests/urls.py | Starcross/django-geoposition | b2b3af2a1b73e0ce99e76f19b7f63f1a91f3e093 | [
"MIT"
] | 1 | 2019-12-22T12:17:19.000Z | 2019-12-22T12:17:19.000Z | from django.urls import path, include
from django.contrib import admin
from example.views import poi_list
admin.autodiscover()
urlpatterns = [
path('', poi_list),
path('admin/', admin.site.urls),
]
| 18.909091 | 37 | 0.725962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.048077 |
be8fca7576bb080c666d1d705dca421abd5cb1da | 2,453 | py | Python | A_Stocker/Stocker.py | Allen1218/Python_Project_Interesting | 55d5e58e70e21d45c4bb9dc4d4c219f3a8385834 | [
"Apache-2.0"
] | 1 | 2021-02-03T12:08:06.000Z | 2021-02-03T12:08:06.000Z | A_Stocker/Stocker.py | Allen1218/Python_Project_Interesting | 55d5e58e70e21d45c4bb9dc4d4c219f3a8385834 | [
"Apache-2.0"
] | null | null | null | A_Stocker/Stocker.py | Allen1218/Python_Project_Interesting | 55d5e58e70e21d45c4bb9dc4d4c219f3a8385834 | [
"Apache-2.0"
] | null | null | null | import threading
import tushare as ts
import pandas as pd
import datetime
STOCK = {#'002594':[1,170.15], ## 比亚迪 / 几手，成本价
'601012':[11,99.9], ## 隆基股份
'002340':[12,8.72], ## 格林美
'603259':[1,141.7], ## 药明康德
'002346':[10,10.68], ## 柘中股份
#'600438':[9,42.96], ## ... | 30.6625 | 99 | 0.565838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,085 | 0.418757 |
be9026a8dcf2d835f2e8c702efdeeb3e278299c1 | 1,011 | py | Python | tests/extractors/test_etrade.py | mkazin/StatementRenamer | ef03c71f0e627a15a4bba08e45bfa90ecacd28fc | [
"Apache-2.0"
] | null | null | null | tests/extractors/test_etrade.py | mkazin/StatementRenamer | ef03c71f0e627a15a4bba08e45bfa90ecacd28fc | [
"Apache-2.0"
] | 15 | 2018-05-01T12:48:30.000Z | 2021-05-14T02:52:48.000Z | tests/extractors/test_etrade.py | mkazin/StatementRenamer | ef03c71f0e627a15a4bba08e45bfa90ecacd28fc | [
"Apache-2.0"
] | 1 | 2019-07-09T22:59:50.000Z | 2019-07-09T22:59:50.000Z | from datetime import datetime
from statement_renamer.extractors.etrade import ETradeDateExtractor as EXTRACTOR_UNDER_TEST
from statement_renamer.extractors.factory import ExtractorFactory
TESTDATA = (
"""
PAGE 1 OF 6 February 1, 2019 - March 31, 2019AccountNumber:####-####AccountType:ROTH IRA
PAGE 5 OF ... | 32.612903 | 124 | 0.75272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 369 | 0.364985 |
be917ccdfeb7754dd0eabc0327954755752723d8 | 425 | py | Python | Estrutura_Decisao/who.py | M3nin0/supreme-broccoli | 186c1ea3b839ba3139f9301660dec8fbd27a162e | [
"Apache-2.0"
] | null | null | null | Estrutura_Decisao/who.py | M3nin0/supreme-broccoli | 186c1ea3b839ba3139f9301660dec8fbd27a162e | [
"Apache-2.0"
] | null | null | null | Estrutura_Decisao/who.py | M3nin0/supreme-broccoli | 186c1ea3b839ba3139f9301660dec8fbd27a162e | [
"Apache-2.0"
] | null | null | null | prod1 = float(input("Insira o valor do produto A: "))
prod2 = float(input("Insira o valor do produto B: "))
prod3 = float(input("Insira o valor do produto C: "))
if prod1 < prod2 and prod1 < prod3:
print ("Escolha o produto A é o mais barato")
elif prod2 < prod1 and prod2 < prod3:
print ("Escolha o produto B é... | 38.636364 | 53 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 207 | 0.483645 |
be98084b654d84cf6a197790eaa2f280fb68a68e | 800 | py | Python | ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v2/train/experimental/__init__.py | Lube-Project/ProgettoLube | cbf33971e2c2e865783ec1a2302625539186a338 | [
"MIT"
] | 2 | 2020-09-30T00:11:09.000Z | 2021-10-04T13:00:38.000Z | ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v2/train/experimental/__init__.py | Lube-Project/ProgettoLube | cbf33971e2c2e865783ec1a2302625539186a338 | [
"MIT"
] | null | null | null | ProgettoLube/WebInspector/venv/Lib/site-packages/tensorflow/_api/v2/compat/v2/train/experimental/__init__.py | Lube-Project/ProgettoLube | cbf33971e2c2e865783ec1a2302625539186a338 | [
"MIT"
] | 1 | 2021-01-28T01:57:41.000Z | 2021-01-28T01:57:41.000Z | # This file is MACHINE GENERATED! Do not edit.
# Generated by: tensorflow/python/tools/api/generator/create_python_api.py script.
"""Public API for tf.train.experimental namespace.
"""
from __future__ import print_function as _print_function
import sys as _sys
from tensorflow.python.training.experimental.loss_scale ... | 44.444444 | 105 | 0.86875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.2275 |
be986d230ef62a7e44ef6996ed58eb548aa4181b | 4,004 | py | Python | SciDataTool/Methods/VectorField/plot_3D_Data.py | BenjaminGabet/SciDataTool | 7994441de4c54921d43750cacd8df761ba4bd421 | [
"Apache-2.0"
] | null | null | null | SciDataTool/Methods/VectorField/plot_3D_Data.py | BenjaminGabet/SciDataTool | 7994441de4c54921d43750cacd8df761ba4bd421 | [
"Apache-2.0"
] | null | null | null | SciDataTool/Methods/VectorField/plot_3D_Data.py | BenjaminGabet/SciDataTool | 7994441de4c54921d43750cacd8df761ba4bd421 | [
"Apache-2.0"
] | null | null | null | def plot_3D_Data(
self,
*arg_list,
is_norm=False,
unit="SI",
component_list=None,
save_path=None,
x_min=None,
x_max=None,
y_min=None,
y_max=None,
z_min=None,
z_max=None,
z_range=None,
is_auto_ticks=True,
is_auto_range=False,
is_2D_view=False,
is_same_s... | 29.880597 | 99 | 0.610889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,992 | 0.497502 |
be995dc30a4b39d65ba03829daf98d9b834c9449 | 37,788 | py | Python | tests/unittests/plotting/test_plotly_backend.py | obilaniu/orion | bc886daf791d66490b59e43657f6f6db45d34ea8 | [
"BSD-3-Clause"
] | 1 | 2021-04-10T16:18:03.000Z | 2021-04-10T16:18:03.000Z | tests/unittests/plotting/test_plotly_backend.py | obilaniu/orion | bc886daf791d66490b59e43657f6f6db45d34ea8 | [
"BSD-3-Clause"
] | null | null | null | tests/unittests/plotting/test_plotly_backend.py | obilaniu/orion | bc886daf791d66490b59e43657f6f6db45d34ea8 | [
"BSD-3-Clause"
] | null | null | null | """Collection of tests for :mod:`orion.plotting.backend_plotly`."""
import copy
import numpy
import pandas
import plotly
import pytest
import orion.client
from orion.analysis.partial_dependency_utils import partial_dependency_grid
from orion.core.worker.experiment import Experiment
from orion.plotting.base import (
... | 35.716446 | 87 | 0.59196 | 33,335 | 0.882158 | 0 | 0 | 33,212 | 0.878903 | 0 | 0 | 7,453 | 0.197232 |
be99d62141111a8ad89510bea1e2a527e33cf08b | 478 | py | Python | autodiff/debug_vjp.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | 1 | 2021-03-22T14:16:43.000Z | 2021-03-22T14:16:43.000Z | autodiff/debug_vjp.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | null | null | null | autodiff/debug_vjp.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | null | null | null | import pdb
import warnings
from jax import custom_vjp
@custom_vjp
def debug_identity(x):
"""
acts as identity, but inserts a pdb trace on the backwards pass
"""
warnings.warn('Using a module intended for debugging')
return x
def _debug_fwd(x):
warnings.warn('Using a module intended for debu... | 17.071429 | 67 | 0.713389 | 0 | 0 | 0 | 0 | 190 | 0.39749 | 0 | 0 | 185 | 0.387029 |
be9aae87c4295f41e5dad9ea47ddb818dd41be55 | 1,246 | py | Python | mileage.py | vwfinley/mileage | eb880107c8c38d33706eac74d01a0d0516716cc7 | [
"MIT"
] | null | null | null | mileage.py | vwfinley/mileage | eb880107c8c38d33706eac74d01a0d0516716cc7 | [
"MIT"
] | null | null | null | mileage.py | vwfinley/mileage | eb880107c8c38d33706eac74d01a0d0516716cc7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Some helpful links
# https://docs.python.org/3/library/tkinter.html
# https://www.python-course.eu/tkinter_entry_widgets.php
import tkinter as tk
class Application(tk.Frame):
def __init__(self, root=None):
super().__init__(root)
self.root = root
... | 28.318182 | 90 | 0.578652 | 1,010 | 0.810594 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.169342 |
be9bd5f7d840a39915f5c547fcf6ced95fe85e75 | 1,087 | py | Python | rankings/elo.py | ulternate/table_tennis_league | 1762c5b606f149b27d9c06c82e825c948c47b56f | [
"MIT"
] | null | null | null | rankings/elo.py | ulternate/table_tennis_league | 1762c5b606f149b27d9c06c82e825c948c47b56f | [
"MIT"
] | 7 | 2017-08-18T04:15:16.000Z | 2017-08-28T00:54:25.000Z | rankings/elo.py | mohamed-yahya-zakria/table-tennis-league | 07cc6fe46100a4d4279c8a6ae5eea26984df4664 | [
"MIT"
] | 1 | 2017-08-18T11:24:00.000Z | 2017-08-18T11:24:00.000Z | def elo(winner_rank, loser_rank, weighting):
"""
:param winner: The Player that won the match.
:param loser: The Player that lost the match.
:param weighting: The weighting factor to suit your comp.
:return: (winner_new_rank, loser_new_rank) Tuple.
This follows the ELO ranking method.
"""
... | 37.482759 | 73 | 0.720331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 0.308188 |
be9c9dcbecf6ee782a06508d51f148623da5f942 | 3,766 | py | Python | src/samplics/regression/glm.py | samplics-org/samplics | b5f49d075194cc24208f567e6a00e86aa24bec26 | [
"MIT"
] | 14 | 2021-05-03T19:59:58.000Z | 2022-03-27T18:58:36.000Z | src/samplics/regression/glm.py | samplics-org/samplics | b5f49d075194cc24208f567e6a00e86aa24bec26 | [
"MIT"
] | 8 | 2021-06-17T01:13:01.000Z | 2022-03-27T18:31:15.000Z | src/samplics/regression/glm.py | samplics-org/samplics | b5f49d075194cc24208f567e6a00e86aa24bec26 | [
"MIT"
] | 1 | 2022-03-28T06:58:55.000Z | 2022-03-28T06:58:55.000Z | from __future__ import annotations
from typing import Any, Callable, Optional, Union
import numpy as np
# import pandas as pd
import statsmodels.api as sm
from samplics.estimation.expansion import TaylorEstimator
from samplics.utils.formats import dict_to_dataframe, fpc_as_dict, numpy_array, remove_nans
from sampli... | 32.747826 | 97 | 0.573022 | 3,385 | 0.898832 | 0 | 0 | 680 | 0.180563 | 0 | 0 | 168 | 0.04461 |
be9e12d7ef9f5aeb6611304d96bd16eabcc64477 | 2,563 | py | Python | tests/test_scopes.py | leg100/scopes | 6a31908acf44b9f65f25668230197ed13229a80d | [
"MIT"
] | null | null | null | tests/test_scopes.py | leg100/scopes | 6a31908acf44b9f65f25668230197ed13229a80d | [
"MIT"
] | 1 | 2021-11-15T17:47:40.000Z | 2021-11-15T17:47:40.000Z | tests/test_scopes.py | leg100/scopes | 6a31908acf44b9f65f25668230197ed13229a80d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `scopes` package."""
import os
print(os.getenv('PYTHONPATH'))
import pytest
from click.testing import CliRunner
from scopes.tasks import tasks, bolt, spout, builder
from scopes.graph import G, build, topological_sort, traverse
from scopes import cli
@py... | 22.286957 | 78 | 0.536871 | 0 | 0 | 539 | 0.2103 | 788 | 0.307452 | 0 | 0 | 818 | 0.319157 |
be9e3afec2b413ef97912bf7c25f3305c1a3ab7c | 1,055 | py | Python | timeparse/LunarSolarConverter/__init__.py | tornadoyi/timeparse | 1e44dbc6acdb07d6c023806d55034642c7ec0de9 | [
"Apache-2.0"
] | null | null | null | timeparse/LunarSolarConverter/__init__.py | tornadoyi/timeparse | 1e44dbc6acdb07d6c023806d55034642c7ec0de9 | [
"Apache-2.0"
] | null | null | null | timeparse/LunarSolarConverter/__init__.py | tornadoyi/timeparse | 1e44dbc6acdb07d6c023806d55034642c7ec0de9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'isee15'
import LunarSolarConverter
converter = LunarSolarConverter.LunarSolarConverter()
def LunarToSolar(year, month, day, isleap = False):
lunar = LunarSolarConverter.Lunar(year, month, day, isleap)
solar = converter.LunarToSolar(lunar)
return (solar.solarYear, sol... | 28.513514 | 81 | 0.694787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.029384 |
be9f7ef00ae244d09a69281d387b6fc00e3b787b | 4,345 | py | Python | examples/hello-pt/custom/cifar10validator.py | ArnovanHilten/NVFlare | bb45e7d606849c6bc8f7542347459c6ba1be00c4 | [
"Apache-2.0"
] | 155 | 2021-08-05T18:05:09.000Z | 2022-03-27T15:32:56.000Z | examples/hello-pt/custom/cifar10validator.py | ArnovanHilten/NVFlare | bb45e7d606849c6bc8f7542347459c6ba1be00c4 | [
"Apache-2.0"
] | 216 | 2021-12-01T06:07:12.000Z | 2022-03-30T23:34:02.000Z | examples/hello-pt/custom/cifar10validator.py | ArnovanHilten/NVFlare | bb45e7d606849c6bc8f7542347459c6ba1be00c4 | [
"Apache-2.0"
] | 44 | 2021-11-24T16:03:29.000Z | 2022-03-24T23:28:39.000Z | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 40.231481 | 114 | 0.643268 | 3,204 | 0.737399 | 0 | 0 | 0 | 0 | 0 | 0 | 1,023 | 0.235443 |
be9f9cd98cdf38a09e9b5c7bf41b9142f3bd6c42 | 4,220 | py | Python | lambda/enable-traffic-mirroring.py | wrharding/aws-infra | 5e913f8342b3a3b3a4599648c4a914f828b5bc18 | [
"MIT"
] | 1 | 2022-01-14T18:03:29.000Z | 2022-01-14T18:03:29.000Z | lambda/enable-traffic-mirroring.py | wrharding/aws-infra | 5e913f8342b3a3b3a4599648c4a914f828b5bc18 | [
"MIT"
] | null | null | null | lambda/enable-traffic-mirroring.py | wrharding/aws-infra | 5e913f8342b3a3b3a4599648c4a914f828b5bc18 | [
"MIT"
] | null | null | null | # MIT License
# Copyright (c) 2020-2021 Chris Farris (https://www.chrisfarris.com)
# 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 righ... | 39.074074 | 129 | 0.679147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,167 | 0.513507 |
be9fea8e8fc13061760196f0e3818adcd5989d77 | 9,088 | py | Python | src/value_function.py | wu6u3/async_trpo | b6e3dd56775464b58f7433773e8b04d88cf3fdbc | [
"MIT"
] | 6 | 2018-02-02T19:53:08.000Z | 2021-12-06T19:48:19.000Z | src/value_function.py | wu6u3/async_trpo | b6e3dd56775464b58f7433773e8b04d88cf3fdbc | [
"MIT"
] | null | null | null | src/value_function.py | wu6u3/async_trpo | b6e3dd56775464b58f7433773e8b04d88cf3fdbc | [
"MIT"
] | 2 | 2018-07-26T06:22:04.000Z | 2019-03-06T10:05:18.000Z | """
State-Value Function
Written by Patrick Coady (pat-coady.github.io)
Modified by Tin-Yin Lai (wu6u3) into asynchronous version
"""
import tensorflow as tf
import numpy as np
from sklearn.utils import shuffle
#import os
class NNValueFunction(object):
""" NN-based state-value function """
def __init__(self... | 42.666667 | 121 | 0.575704 | 8,859 | 0.974802 | 0 | 0 | 0 | 0 | 0 | 0 | 2,626 | 0.288952 |
bea166ed0dc38a3bddb60dc5fe5709a4f52a15f3 | 168 | py | Python | mdepub/actions/__init__.py | bkidwell/mdepub | af9e7d2065fb8251b6767e827ac2cff059ce7668 | [
"0BSD"
] | 35 | 2015-01-14T22:15:35.000Z | 2021-05-23T06:04:34.000Z | mdepub/actions/__init__.py | bkidwell/mdepub | af9e7d2065fb8251b6767e827ac2cff059ce7668 | [
"0BSD"
] | null | null | null | mdepub/actions/__init__.py | bkidwell/mdepub | af9e7d2065fb8251b6767e827ac2cff059ce7668 | [
"0BSD"
] | 7 | 2015-07-23T11:28:18.000Z | 2021-02-09T17:07:06.000Z | """mdepub actions -- these modules do the actual work."""
import archive
import clean
import create
import epub
import extract
import html
import newid
import version
| 15.272727 | 57 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.339286 |
bea186d9537f0999c2f3875648b97a7c001cd71a | 10,439 | py | Python | gbe/views/make_bid_view.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | 1 | 2021-03-14T11:56:47.000Z | 2021-03-14T11:56:47.000Z | gbe/views/make_bid_view.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | 180 | 2019-09-15T19:52:46.000Z | 2021-11-06T23:48:01.000Z | gbe/views/make_bid_view.py | bethlakshmi/gbe-divio-djangocms-python2.7 | 6e9b2c894162524bbbaaf73dcbe927988707231d | [
"Apache-2.0"
] | null | null | null | from django.views.generic import View
from django.utils.decorators import method_decorator
from django.contrib.auth.decorators import login_required
from django.views.decorators.cache import never_cache
from django.contrib import messages
from django.http import HttpResponseRedirect
from django.urls import reverse
from... | 36.121107 | 78 | 0.560111 | 9,563 | 0.916084 | 0 | 0 | 4,071 | 0.38998 | 0 | 0 | 1,100 | 0.105374 |
bea1d1375a8d223083e55cf97bff2f2ce8f4f7ba | 6,977 | py | Python | epicteller/core/dao/character.py | KawashiroNitori/epicteller | 264b11e7e6eb58beb0f67ecbbb811d268a533f7a | [
"MIT"
] | null | null | null | epicteller/core/dao/character.py | KawashiroNitori/epicteller | 264b11e7e6eb58beb0f67ecbbb811d268a533f7a | [
"MIT"
] | null | null | null | epicteller/core/dao/character.py | KawashiroNitori/epicteller | 264b11e7e6eb58beb0f67ecbbb811d268a533f7a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
from collections import defaultdict
from typing import List, Optional, Iterable, Dict
import base62
from sqlalchemy import select, and_
from sqlalchemy.dialects.mysql import insert as mysql_insert
from epicteller.core.model.character import Character
from epi... | 36.528796 | 116 | 0.642826 | 6,004 | 0.860542 | 0 | 0 | 5,503 | 0.788734 | 5,265 | 0.754622 | 62 | 0.008886 |
bea22b520ab74130906570943260ba5b3628befe | 4,313 | py | Python | examples/sentence_classfication/task_sentiment_classification_roformer_v2.py | Tongjilibo/bert4torch | 71d5ffb3698730b16e5a252b06644a136787711e | [
"MIT"
] | 49 | 2022-03-15T07:28:16.000Z | 2022-03-31T07:16:15.000Z | examples/sentence_classfication/task_sentiment_classification_roformer_v2.py | Tongjilibo/bert4torch | 71d5ffb3698730b16e5a252b06644a136787711e | [
"MIT"
] | null | null | null | examples/sentence_classfication/task_sentiment_classification_roformer_v2.py | Tongjilibo/bert4torch | 71d5ffb3698730b16e5a252b06644a136787711e | [
"MIT"
] | null | null | null | #! -*- coding:utf-8 -*-
# 情感分类例子，RoPE相对位置编码
# 官方项目：https://github.com/ZhuiyiTechnology/roformer-v2
# pytorch参考项目：https://github.com/JunnYu/RoFormer_pytorch
from bert4torch.tokenizers import Tokenizer
from bert4torch.models import build_transformer_model, BaseModel
from bert4torch.snippets import sequence_padding, Call... | 38.855856 | 176 | 0.703455 | 1,605 | 0.353758 | 0 | 0 | 522 | 0.115054 | 0 | 0 | 1,230 | 0.271104 |
bea3fce840a92d3dac26a2f605494f57192e6efe | 1,217 | py | Python | pyscf/nao/test/test_0037_aos.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | 1 | 2019-07-01T12:39:45.000Z | 2019-07-01T12:39:45.000Z | pyscf/nao/test/test_0037_aos.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | null | null | null | pyscf/nao/test/test_0037_aos.py | fdmalone/pyscf | 021b17ac721e292b277d2b740e2ff8ab38bb6a4a | [
"Apache-2.0"
] | null | null | null | # Copyright 2014-2018 The PySCF Developers. 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://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 38.03125 | 102 | 0.739523 | 480 | 0.394412 | 0 | 0 | 0 | 0 | 0 | 0 | 655 | 0.538209 |