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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c0008a22baca00584adf6ac2a3f849b58fa45823 | 2,147 | py | Python | lib/rucio/db/sqla/migrate_repo/versions/22d887e4ec0a_create_sources_table.py | brianv0/rucio | 127a36fd53e5b4d9eb14ab02fe6c36443d78bfd0 | [
"Apache-2.0"
] | null | null | null | lib/rucio/db/sqla/migrate_repo/versions/22d887e4ec0a_create_sources_table.py | brianv0/rucio | 127a36fd53e5b4d9eb14ab02fe6c36443d78bfd0 | [
"Apache-2.0"
] | null | null | null | lib/rucio/db/sqla/migrate_repo/versions/22d887e4ec0a_create_sources_table.py | brianv0/rucio | 127a36fd53e5b4d9eb14ab02fe6c36443d78bfd0 | [
"Apache-2.0"
] | null | null | null | # Copyright European Organization for Nuclear Research (CERN)
#
# 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
#
# Authors:
# - Vincent Garonne, <vin... | 39.759259 | 133 | 0.633442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,086 | 0.505822 |
c000ce6357216e513a1258f8b804cf4a615522f7 | 4,024 | py | Python | algorithms/FdGars/FdGars_main.py | ss1004124654/DGFraud-TF2 | 18c2bcc03e850afb7d9b507464b366cad30d675f | [
"Apache-2.0"
] | 51 | 2021-05-24T08:38:52.000Z | 2022-03-28T13:14:21.000Z | algorithms/FdGars/FdGars_main.py | aqeelferoze/DGFraud-TF2 | 18c2bcc03e850afb7d9b507464b366cad30d675f | [
"Apache-2.0"
] | 6 | 2021-06-20T05:21:19.000Z | 2022-02-26T21:58:25.000Z | algorithms/FdGars/FdGars_main.py | aqeelferoze/DGFraud-TF2 | 18c2bcc03e850afb7d9b507464b366cad30d675f | [
"Apache-2.0"
] | 18 | 2021-06-01T12:36:51.000Z | 2022-03-30T15:18:34.000Z | """
This code is attributed to Yingtong Dou (@YingtongDou) and UIC BDSC Lab
DGFraud (A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X)
https://github.com/safe-graph/DGFraud-TF2
"""
import argparse
import numpy as np
from tqdm import tqdm
import tensorflow as tf
from tensorflow.keras import optimizers
... | 36.917431 | 79 | 0.671223 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,194 | 0.29672 |
c0014ae28f168834414c0db2df301fe99732fb5d | 849 | py | Python | problem3a.py | mvignoul/phys218_example | de40ca54ecaa493c171a7f032bcc2c50ad929a64 | [
"MIT"
] | null | null | null | problem3a.py | mvignoul/phys218_example | de40ca54ecaa493c171a7f032bcc2c50ad929a64 | [
"MIT"
] | null | null | null | problem3a.py | mvignoul/phys218_example | de40ca54ecaa493c171a7f032bcc2c50ad929a64 | [
"MIT"
] | null | null | null | """ find the Schwarzschild radius of the Sun in m using pint"""
import pint
class Sun:
""" Class to describe a star based on its mass in terms of solar masses """
def __init__(self, mass):
self.ureg = pint.UnitRegistry()
self.ureg.define("Msolar = 1.98855*10**30 * kilogram")
self.mass ... | 29.275862 | 79 | 0.63722 | 537 | 0.632509 | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 0.335689 |
c00233a09c18a5f027b1634d9d3dd63a23d04cbb | 1,009 | py | Python | morpfw/authn/pas/user/rulesprovider.py | morpframework/morpfw | b867e5809d6c52e8839586670a29fcd179ce64c7 | [
"Apache-2.0"
] | 8 | 2018-12-08T01:41:58.000Z | 2020-12-21T15:30:12.000Z | morpfw/authn/pas/user/rulesprovider.py | morpframework/morpfw | b867e5809d6c52e8839586670a29fcd179ce64c7 | [
"Apache-2.0"
] | 17 | 2019-02-05T15:01:32.000Z | 2020-04-28T16:17:42.000Z | morpfw/authn/pas/user/rulesprovider.py | morpframework/morpfw | b867e5809d6c52e8839586670a29fcd179ce64c7 | [
"Apache-2.0"
] | 2 | 2018-12-08T05:03:37.000Z | 2019-03-20T07:15:21.000Z | from ....crud.rulesprovider.base import RulesProvider
from .. import exc
from ..app import App
from ..utils import has_role
from .model import UserCollection, UserModel
class UserRulesProvider(RulesProvider):
context: UserModel
def change_password(self, password: str, new_password: str, secure: bool = True)... | 34.793103 | 87 | 0.718533 | 724 | 0.717542 | 0 | 0 | 110 | 0.109019 | 0 | 0 | 30 | 0.029732 |
c003ee8ec790d27dd3cd5b33bab3613edcd51ffa | 1,523 | py | Python | dsa_extras/library/codec_code/huffman.py | palette-swapped-serra/dsa-extras | 99544453da510b886b2a4c47cf2eceabee329cd2 | [
"Unlicense"
] | 1 | 2020-08-24T00:26:08.000Z | 2020-08-24T00:26:08.000Z | dsa_extras/library/codec_code/huffman.py | palette-swapped-serra/dsa-extras | 99544453da510b886b2a4c47cf2eceabee329cd2 | [
"Unlicense"
] | null | null | null | dsa_extras/library/codec_code/huffman.py | palette-swapped-serra/dsa-extras | 99544453da510b886b2a4c47cf2eceabee329cd2 | [
"Unlicense"
] | null | null | null | from dsa.parsing.line_parsing import line_parser
from dsa.parsing.token_parsing import make_parser
_parser = line_parser(
'Huffman table entry',
make_parser(
'Huffman table entry data',
('integer', 'encoded bit sequence'),
('hexdump', 'decoded bytes')
)
)
class Huff... | 26.258621 | 67 | 0.54432 | 1,205 | 0.791202 | 625 | 0.410374 | 0 | 0 | 0 | 0 | 165 | 0.108339 |
c005b37d484c98345b8c20c5521de817a98327d9 | 891 | py | Python | src/fake_news_detector/core/data_process/exploration.py | elena20ruiz/FNC | 163cabc245a645e4b39fc328e988cfc765082a22 | [
"Apache-2.0"
] | 4 | 2018-10-04T13:10:40.000Z | 2020-10-02T09:12:50.000Z | src/fake_news_detector/core/data_process/exploration.py | elena20ruiz/FNC | 163cabc245a645e4b39fc328e988cfc765082a22 | [
"Apache-2.0"
] | 15 | 2018-12-14T20:08:28.000Z | 2019-01-07T22:52:43.000Z | src/fake_news_detector/core/data_process/exploration.py | FNClassificator/FNC | 163cabc245a645e4b39fc328e988cfc765082a22 | [
"Apache-2.0"
] | null | null | null | def split_in_three(data_real, data_fake):
min_v = min(data_fake.min(), data_real.min())
max_v = max(data_fake.max(), data_real.max())
tercio = (max_v - min_v) / 3
# Calculate 1/3
th_one = min_v + tercio
# Calculate 2/3
th_two = max_v - tercio
first_f, second_f, third_f = split_data(th_... | 28.741935 | 70 | 0.613917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.03367 |
c006629acd80aec892cca41444a68366c027a55b | 6,486 | py | Python | evap/evaluation/tests/test_auth.py | Sohn123/EvaP | 8b0ba8365cb673ef59829cf8db5ab829472a9c58 | [
"MIT"
] | null | null | null | evap/evaluation/tests/test_auth.py | Sohn123/EvaP | 8b0ba8365cb673ef59829cf8db5ab829472a9c58 | [
"MIT"
] | null | null | null | evap/evaluation/tests/test_auth.py | Sohn123/EvaP | 8b0ba8365cb673ef59829cf8db5ab829472a9c58 | [
"MIT"
] | null | null | null | from unittest.mock import patch
import urllib
from django.urls import reverse
from django.core import mail
from django.conf import settings
from django.test import override_settings
from model_bakery import baker
from evap.evaluation import auth
from evap.evaluation.models import Contribution, Evaluation, UserProfil... | 47 | 130 | 0.707216 | 6,113 | 0.942492 | 0 | 0 | 3,310 | 0.51033 | 0 | 0 | 1,534 | 0.236509 |
c006bcd2ec1c5a47b7a93378891b836502179c96 | 1,827 | py | Python | gwd/converters/spike2kaggle.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 136 | 2020-08-24T08:18:16.000Z | 2022-03-31T13:45:12.000Z | gwd/converters/spike2kaggle.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 5 | 2020-10-07T08:44:36.000Z | 2021-12-17T06:00:57.000Z | gwd/converters/spike2kaggle.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 28 | 2020-08-24T11:07:07.000Z | 2022-01-01T13:07:54.000Z | import argparse
import os.path as osp
from glob import glob
import cv2
import pandas as pd
from tqdm import tqdm
from gwd.converters import kaggle2coco
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--image-pattern", default="/data/SPIKE_images/*jpg")
parser.add_argument("--an... | 38.0625 | 111 | 0.642036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 488 | 0.267105 |
c008713b35128a47b245f9ad063e4cc7dcc2e046 | 5,090 | py | Python | shuttl/tests/test_views/test_organization.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | 2 | 2017-06-26T18:06:58.000Z | 2017-10-11T21:45:29.000Z | shuttl/tests/test_views/test_organization.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | null | null | null | shuttl/tests/test_views/test_organization.py | shuttl-io/shuttl-cms | 50c85db0de42e901c371561270be6425cc65eccc | [
"MIT"
] | null | null | null | import json
from shuttl import app
from shuttl.tests import testbase
from shuttl.Models.Reseller import Reseller
from shuttl.Models.organization import Organization, OrganizationDoesNotExistException
class OrganizationViewTest(testbase.BaseTest):
def _setUp(self):
pass
def test_index(self):
#... | 40.72 | 117 | 0.621022 | 4,881 | 0.958939 | 0 | 0 | 0 | 0 | 0 | 0 | 760 | 0.149312 |
c00b0d921904cae0f3219c2a2df1410ec3c0ae18 | 3,477 | py | Python | emissary/controllers/load.py | LukeB42/Emissary | 31629a8baedc91a9b60c551a01b2b45372b9a8c7 | [
"MIT"
] | 193 | 2015-06-20T23:46:05.000Z | 2021-02-16T14:04:29.000Z | emissary/controllers/load.py | LukeB42/Emissary | 31629a8baedc91a9b60c551a01b2b45372b9a8c7 | [
"MIT"
] | 4 | 2015-08-23T15:25:55.000Z | 2016-01-06T11:29:20.000Z | emissary/controllers/load.py | LukeB42/Emissary | 31629a8baedc91a9b60c551a01b2b45372b9a8c7 | [
"MIT"
] | 21 | 2015-07-05T12:20:06.000Z | 2019-07-12T08:07:46.000Z | # This file contains functions designed for
# loading cron tables and storing new feeds.
from emissary import db
from sqlalchemy import and_
from emissary.controllers.utils import spaceparse
from emissary.controllers.cron import parse_timings
from emissary.models import APIKey, Feed, FeedGroup
def create_feed(log, db... | 27.816 | 91 | 0.6543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,288 | 0.370434 |
c00f497cdfab4a0df082b81815ffb6293fc4eaf2 | 7,661 | py | Python | vodgen/main.py | Oveof/Vodgen | 3e4b9a715f385b76dc34d82ac188b6d3db170957 | [
"MIT"
] | null | null | null | vodgen/main.py | Oveof/Vodgen | 3e4b9a715f385b76dc34d82ac188b6d3db170957 | [
"MIT"
] | 10 | 2021-11-30T22:01:30.000Z | 2022-03-18T14:50:08.000Z | vodgen/main.py | Oveof/Vodgen | 3e4b9a715f385b76dc34d82ac188b6d3db170957 | [
"MIT"
] | null | null | null | """Vodgen app"""
from msilib.schema import Directory
import sys
import json
import re
from PyQt5.QtWidgets import (QApplication, QCheckBox, QComboBox,
QFileDialog, QLabel, QLineEdit, QMainWindow, QPlainTextEdit, QPushButton, QVBoxLayout, QWidget)
from videocutter import create_video
from thumbnail import Thumbnail,... | 38.497487 | 150 | 0.638951 | 5,109 | 0.666623 | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 0.1631 |
c01048af256422693f245a8c170084866f81cf42 | 1,733 | py | Python | bin/plpproject.py | stefanct/pulp-tools | 63a05d59908534ad01133d0111e181fa69d00ce3 | [
"Apache-2.0"
] | 2 | 2018-02-09T08:12:34.000Z | 2020-06-16T17:45:33.000Z | bin/plpproject.py | stefanct/pulp-tools | 63a05d59908534ad01133d0111e181fa69d00ce3 | [
"Apache-2.0"
] | 2 | 2018-02-09T07:54:32.000Z | 2018-03-09T08:51:31.000Z | bin/plpproject.py | stefanct/pulp-tools | 63a05d59908534ad01133d0111e181fa69d00ce3 | [
"Apache-2.0"
] | 6 | 2018-03-08T11:12:22.000Z | 2019-12-05T12:36:47.000Z |
#
# Copyright (C) 2018 ETH Zurich and University of Bologna
#
# 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 applicab... | 23.739726 | 74 | 0.705713 | 1,078 | 0.622043 | 0 | 0 | 0 | 0 | 0 | 0 | 593 | 0.342181 |
c011388324be1ffe30d4e8f33cf11884af58be55 | 300 | py | Python | leetcode/268_missing_number/268_missing_number.py | ryangillard/misc | d1f9919400636e6b988fa933493b94829a73331e | [
"Apache-2.0"
] | null | null | null | leetcode/268_missing_number/268_missing_number.py | ryangillard/misc | d1f9919400636e6b988fa933493b94829a73331e | [
"Apache-2.0"
] | null | null | null | leetcode/268_missing_number/268_missing_number.py | ryangillard/misc | d1f9919400636e6b988fa933493b94829a73331e | [
"Apache-2.0"
] | null | null | null | class Solution(object):
def missingNumber(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums_set = set(nums)
full_length = len(nums) + 1
for num in range(full_length):
if num not in nums_set:
return num | 25 | 38 | 0.503333 | 300 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.216667 |
c0115ad71776b57663adb5064185c84d654f136a | 5,177 | py | Python | tests/shell/test_console.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 65 | 2015-04-21T10:41:18.000Z | 2022-01-02T16:25:40.000Z | tests/shell/test_console.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 85 | 2015-01-20T14:23:52.000Z | 2022-02-19T17:08:46.000Z | tests/shell/test_console.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 32 | 2015-03-13T07:43:05.000Z | 2020-04-24T07:56:53.000Z | #!/usr/bin/env python
# -- Content-Encoding: UTF-8 --
"""
Tests the shell console
:author: Thomas Calmant
"""
# Pelix
from pelix.utilities import to_str, to_bytes
# Standard library
import random
import string
import sys
import threading
import time
# Tests
try:
import unittest2 as unittest
except ImportError:
... | 30.633136 | 80 | 0.459533 | 4,388 | 0.847595 | 0 | 0 | 259 | 0.050029 | 0 | 0 | 1,398 | 0.270041 |
c01227c807be8c1f87a3e23c71237c6860b77b30 | 708 | py | Python | src/util/utils.py | 5agado/intro-ai | dfb7cd636ad8f8ac2d88053f9d3f279730b8608a | [
"Apache-2.0"
] | 3 | 2015-11-07T14:45:20.000Z | 2018-01-27T13:06:25.000Z | src/util/utils.py | 5agado/intro-ai | dfb7cd636ad8f8ac2d88053f9d3f279730b8608a | [
"Apache-2.0"
] | null | null | null | src/util/utils.py | 5agado/intro-ai | dfb7cd636ad8f8ac2d88053f9d3f279730b8608a | [
"Apache-2.0"
] | null | null | null | import os
import math
def dotProduct(v1, v2):
return sum(x * y for x, y in zip(v1, v2))
def sigmoid(x):
return 1.0 / (1.0 + math.exp(-x))
def getResourcesPath():
return os.path.abspath(os.path.join(os.path.dirname( __file__ ), os.pardir, 'resources'))
def readTrainModel(filePath, num... | 27.230769 | 94 | 0.577684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.032486 |
c0126570af4c13122b92f578f7e7cd7fb226531b | 3,530 | py | Python | scripts/models/xgboost/test-xgboost_tuning3.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | scripts/models/xgboost/test-xgboost_tuning3.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | scripts/models/xgboost/test-xgboost_tuning3.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Juan Quintana
# @Date: 2018-09-26 10:01:02
# @Last Modified by: Juan Quintana
# @Last Modified time: 2018-09-26 16:04:24
"""
XGBOOST Regressor with Bayesian tuning: OPTION 3
In this case it will be used hyperopt-sklearn and his native algorithm
"xgboost_regression".
NOTE: sciki... | 32.990654 | 113 | 0.654958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,200 | 0.339943 |
c0128df7aa9cde7c55a1d29edac835d168b71fd9 | 719 | py | Python | EstruturaDeRepeticao/exercicio32.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | EstruturaDeRepeticao/exercicio32.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | EstruturaDeRepeticao/exercicio32.py | Nicolas-Wursthorn/exercicios-python-brasil | b2b564d48b519be04643636033ec0815e6d99ea1 | [
"MIT"
] | null | null | null | # O Departamento Estadual de Meteorologia lhe contratou para desenvolver um programa que leia as um conjunto indeterminado de temperaturas, e informe ao final a menor e a maior temperaturas informadas, bem como a média das temperaturas.
temperaturas = []
while True:
graus = float(input("Digite a temperatura em gr... | 47.933333 | 236 | 0.709318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.564917 |
c012b837e3e30a6eafa5b481e3b7199fb7fec744 | 369 | py | Python | src/utils/tools.py | Xuenew/2c | 2e6ada011bcc8bbe19d2e745fcc9eff1fc31a520 | [
"Apache-2.0"
] | null | null | null | src/utils/tools.py | Xuenew/2c | 2e6ada011bcc8bbe19d2e745fcc9eff1fc31a520 | [
"Apache-2.0"
] | null | null | null | src/utils/tools.py | Xuenew/2c | 2e6ada011bcc8bbe19d2e745fcc9eff1fc31a520 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Created by howie.hu at 2021/4/7.
Description：通用函数
Changelog: all notable changes to this file will be documented
"""
import hashlib
def md5_encryption(string: str) -> str:
"""
对字符串进行md5加密
:param string: 加密目标字符串
:return:
"""
m = hashlib.md5()
m.update(... | 18.45 | 66 | 0.631436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.652812 |
c0145129a570eee9c990a840954e93502103b3c8 | 14,612 | py | Python | anaconda-mode/0.1.13/jedi-0.15.1-py3.7.egg/jedi/evaluate/gradual/annotation.py | space-scl/emacs.d | 6285c38714023b72a023fe24cbcb5e4fcdcdb949 | [
"Apache-2.0"
] | 2 | 2020-09-30T00:11:09.000Z | 2021-10-04T13:00:38.000Z | anaconda-mode/0.1.13/jedi-0.15.1-py3.7.egg/jedi/evaluate/gradual/annotation.py | space-scl/emacs.d | 6285c38714023b72a023fe24cbcb5e4fcdcdb949 | [
"Apache-2.0"
] | 10 | 2020-05-11T20:29:28.000Z | 2022-01-13T01:41:27.000Z | anaconda-mode/0.1.13/jedi-0.15.1-py3.7.egg/jedi/evaluate/gradual/annotation.py | space-scl/emacs.d | 6285c38714023b72a023fe24cbcb5e4fcdcdb949 | [
"Apache-2.0"
] | 1 | 2020-01-25T20:08:59.000Z | 2020-01-25T20:08:59.000Z | """
PEP 0484 ( https://www.python.org/dev/peps/pep-0484/ ) describes type hints
through function annotations. There is a strong suggestion in this document
that only the type of type hinting defined in PEP0484 should be allowed
as annotations in future python versions.
"""
import re
from parso import ParserSyntaxErro... | 35.990148 | 94 | 0.638653 | 0 | 0 | 307 | 0.02101 | 2,289 | 0.156652 | 0 | 0 | 2,797 | 0.191418 |
c01466f2b1b58f8291be4e054c30cb12aa407427 | 326 | py | Python | string_30.py | Technicoryx/python_strings_inbuilt_functions | 78892d043c6c6d65affe3bd4906ba0162c5d6604 | [
"MIT"
] | null | null | null | string_30.py | Technicoryx/python_strings_inbuilt_functions | 78892d043c6c6d65affe3bd4906ba0162c5d6604 | [
"MIT"
] | null | null | null | string_30.py | Technicoryx/python_strings_inbuilt_functions | 78892d043c6c6d65affe3bd4906ba0162c5d6604 | [
"MIT"
] | null | null | null | """Below Python Programme demonstrate rpartition
functions in a string"""
string = "Python is fun"
# 'is' separator is found
print(string.rpartition('is '))
# 'not' separator is not found
print(string.rpartition('not '))
string = "Python is fun, isn't it"
# splits at last occurence of 'is'
print(string.rpartition('... | 21.733333 | 48 | 0.717791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.665644 |
c014e0fef503433734848ae3b6b9307338d2ae08 | 4,583 | py | Python | env/lib/python3.8/site-packages/unidecode/x054.py | avdhari/enigma | b7e965a91ca5f0e929c4c719d695f15ccb8b5a2c | [
"MIT"
] | 48 | 2021-11-20T08:17:53.000Z | 2022-03-19T13:57:15.000Z | venv/lib/python3.6/site-packages/unidecode/x054.py | mrsaicharan1/iiita-updates | a22a0157b90d29b946d0f020e5f76744f73a6bff | [
"Apache-2.0"
] | 392 | 2015-07-30T14:37:05.000Z | 2022-03-21T16:56:09.000Z | venv/lib/python3.6/site-packages/unidecode/x054.py | mrsaicharan1/iiita-updates | a22a0157b90d29b946d0f020e5f76744f73a6bff | [
"Apache-2.0"
] | 15 | 2015-10-01T21:31:08.000Z | 2020-05-05T00:03:27.000Z | data = (
'Mie ', # 0x00
'Xu ', # 0x01
'Mang ', # 0x02
'Chi ', # 0x03
'Ge ', # 0x04
'Xuan ', # 0x05
'Yao ', # 0x06
'Zi ', # 0x07
'He ', # 0x08
'Ji ', # 0x09
'Diao ', # 0x0a
'Cun ', # 0x0b
'Tong ', # 0x0c
'Ming ', # 0x0d
'Hou ', # 0x0e
'Li ', # 0x0f
'Tu ', # 0x10
'Xiang ... | 17.694981 | 19 | 0.382064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,036 | 0.662448 |
c0176451a4af477e1653a56580ea468230721ad1 | 2,023 | py | Python | merge_sort.py | BCLaird/refreshers | 135e21fdb4396d7b2c558cb08b7e9abf9db7c768 | [
"Unlicense"
] | null | null | null | merge_sort.py | BCLaird/refreshers | 135e21fdb4396d7b2c558cb08b7e9abf9db7c768 | [
"Unlicense"
] | null | null | null | merge_sort.py | BCLaird/refreshers | 135e21fdb4396d7b2c558cb08b7e9abf9db7c768 | [
"Unlicense"
] | null | null | null | import sys
import unittest
def merge(nums1, nums2):
"""
:param nums1: Sorted list of numbers.
:param nums2: Sorted list of numbers.
:return: Combined sorted list of numbers.
"""
merged = list()
while len(nums1) != 0 and len(nums2) != 0:
if nums1[0] <= nums2[0]:
merged... | 25.2875 | 68 | 0.565991 | 955 | 0.472071 | 0 | 0 | 0 | 0 | 0 | 0 | 327 | 0.161641 |
c017dec4951ea873a5632989e93e1321faa87a5d | 1,548 | py | Python | tests/test_utils/test_textio.py | hongxuenong/mmocr | e8e3a059f8f2e4fca96af37751c33563fc48e2ba | [
"Apache-2.0"
] | 2,261 | 2021-04-08T03:45:41.000Z | 2022-03-31T23:37:46.000Z | tests/test_utils/test_textio.py | hongxuenong/mmocr | e8e3a059f8f2e4fca96af37751c33563fc48e2ba | [
"Apache-2.0"
] | 789 | 2021-04-08T05:40:13.000Z | 2022-03-31T09:42:39.000Z | tests/test_utils/test_textio.py | hongxuenong/mmocr | e8e3a059f8f2e4fca96af37751c33563fc48e2ba | [
"Apache-2.0"
] | 432 | 2021-04-08T03:56:16.000Z | 2022-03-30T18:44:43.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import tempfile
from mmocr.utils import list_from_file, list_to_file
lists = [
[],
[' '],
['\t'],
['a'],
[1],
[1.],
['a', 'b'],
['a', 1, 1.],
[1, 1., 'a'],
['啊', '啊啊'],
['選択', 'noël', 'Информацией', 'ÄÆä'],
]
def test_list_t... | 32.25 | 77 | 0.505168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.152575 |
c01a0bc60c407d254aecde1ca9086a30bc750870 | 2,638 | py | Python | License Plate Detection.py | jairajsahgal/License_Plate_and_Face_Recognition | 6a9762f2ca90730e828b3d256418b073b9e80cb0 | [
"Apache-2.0"
] | null | null | null | License Plate Detection.py | jairajsahgal/License_Plate_and_Face_Recognition | 6a9762f2ca90730e828b3d256418b073b9e80cb0 | [
"Apache-2.0"
] | null | null | null | License Plate Detection.py | jairajsahgal/License_Plate_and_Face_Recognition | 6a9762f2ca90730e828b3d256418b073b9e80cb0 | [
"Apache-2.0"
] | null | null | null | import cv2
from Text_Detection import detect_characters, detect_string, detect_words
import re
from live_recognition import facial_recognition
#
def rescale_frame(frame, percent=75):
width = int(frame.shape[1] * percent/ 100)
height = int(frame.shape[0] * percent/ 100)
dim = (width, height)
ret... | 41.873016 | 338 | 0.559515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 692 | 0.26232 |
c01a696f221a5d8d2da0a1df4899941c79bacd5a | 17,268 | py | Python | LogParser/LTEV2.py | a22057916w/python_advance | c964ad3237b503f5ef83e1add12d8007113690b1 | [
"MIT"
] | null | null | null | LogParser/LTEV2.py | a22057916w/python_advance | c964ad3237b503f5ef83e1add12d8007113690b1 | [
"MIT"
] | null | null | null | LogParser/LTEV2.py | a22057916w/python_advance | c964ad3237b503f5ef83e1add12d8007113690b1 | [
"MIT"
] | null | null | null | ##! python3
##==============================================================================
## Copyright (c) 2021 COMPAL Electronic Inc. All rights reserved.
## This program contains proprietary and confidential information.
## All rights reserved except as may be permitted by prior written consent.
##
## ... | 47.180328 | 154 | 0.527044 | 14,502 | 0.83943 | 0 | 0 | 0 | 0 | 0 | 0 | 6,085 | 0.352223 |
c01a9c714b265a55e25bf66dffd00ac40d13d9db | 1,504 | py | Python | cnn/test2.py | INFINITSY/darts | 684f97e407ee044a14c375f4a3078398a4b802bc | [
"Apache-2.0"
] | null | null | null | cnn/test2.py | INFINITSY/darts | 684f97e407ee044a14c375f4a3078398a4b802bc | [
"Apache-2.0"
] | null | null | null | cnn/test2.py | INFINITSY/darts | 684f97e407ee044a14c375f4a3078398a4b802bc | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
# darts_025 = [0, 0, 0, 0, 2, 5, 6, 7, 8]
darts_025 = [0, 0, 0, 2, 3, 5, 7, 8]
darts_05 = [0, 0, 3, 3, 4, 4, 5, 7, 7]
adas_025_9 = [0, 0, 0, 0, 3, 5, 7]
adas_05_9 = [0, 0, 1, 4, 5, 6, 6, 7, 7, 7, 7]
adas_05_95 = []
adas_05_97 = [0, 0, 0, 2, 4, 4, 4, 4, 4, 6, 8]
mile ... | 44.235294 | 108 | 0.571809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 0.405585 |
c01b7158b50aafc1ed3b64cfb1feeaebd488a0fb | 21,040 | py | Python | great_international/panels/capital_invest.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2018-03-20T11:19:07.000Z | 2021-10-05T07:53:11.000Z | great_international/panels/capital_invest.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 802 | 2018-02-05T14:16:13.000Z | 2022-02-10T10:59:21.000Z | great_international/panels/capital_invest.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2019-01-22T13:19:37.000Z | 2019-07-01T10:35:26.000Z | from wagtail.admin.edit_handlers import (
InlinePanel, HelpPanel, FieldPanel, FieldRowPanel, MultiFieldPanel,
PageChooserPanel,
)
from wagtail.documents.edit_handlers import DocumentChooserPanel
from wagtail.images.edit_handlers import ImageChooserPanel
from core.helpers import make_translated_interface
from c... | 37.841727 | 117 | 0.506369 | 20,654 | 0.981654 | 0 | 0 | 0 | 0 | 0 | 0 | 6,469 | 0.307462 |
c01b9112e0f0afc9d0edfc412d08f777b3d1b9d7 | 137 | py | Python | _6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py | YordanPetrovDS/Python_Fundamentals | 81163054cd3ac780697eaa43f099cc455f253a0c | [
"MIT"
] | null | null | null | _6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py | YordanPetrovDS/Python_Fundamentals | 81163054cd3ac780697eaa43f099cc455f253a0c | [
"MIT"
] | null | null | null | _6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py | YordanPetrovDS/Python_Fundamentals | 81163054cd3ac780697eaa43f099cc455f253a0c | [
"MIT"
] | null | null | null | divisor = int(input())
bound = int(input())
for num in range(bound, 0, -1):
if num % divisor == 0:
print(num)
break
| 17.125 | 31 | 0.540146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c01c83fcecb0cd27f766c4572561b04ffed5866c | 595 | py | Python | Task1C.py | benkw26/IA-Flood-Warning-Project | ded20ebd52f4d328d7437682cffebf6843d26aa3 | [
"MIT"
] | null | null | null | Task1C.py | benkw26/IA-Flood-Warning-Project | ded20ebd52f4d328d7437682cffebf6843d26aa3 | [
"MIT"
] | null | null | null | Task1C.py | benkw26/IA-Flood-Warning-Project | ded20ebd52f4d328d7437682cffebf6843d26aa3 | [
"MIT"
] | null | null | null | from floodsystem.geo import stations_within_radius
from floodsystem.stationdata import build_station_list
def run():
"""Requirements for Task 1C"""
# Build list of stations
stations = build_station_list()
# Store the coordinates of Cambridge City Centre
CambCoord = (52.2053, 0.1218)
#store the... | 31.315789 | 75 | 0.719328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.314286 |
c01ee7097d54131caabca59efa7cd0ede8253fd5 | 2,072 | py | Python | fixture/project.py | Sashatq/bugtrack | ce8bcac2b9041b5ea34de30a10a3431fc62ec21a | [
"Apache-2.0"
] | null | null | null | fixture/project.py | Sashatq/bugtrack | ce8bcac2b9041b5ea34de30a10a3431fc62ec21a | [
"Apache-2.0"
] | null | null | null | fixture/project.py | Sashatq/bugtrack | ce8bcac2b9041b5ea34de30a10a3431fc62ec21a | [
"Apache-2.0"
] | null | null | null | from model.objects import Objects
import time
class ProjectHelper:
def __init__(self, app):
self.app = app
project_cache = None
def get_project_list(self):
if self.project_cache is None:
wd = self.app.wd
self.open_manage_project_page()
self.project_ca... | 37 | 95 | 0.639479 | 2,023 | 0.976351 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.139479 |
c0200d7fd7135bdc552ee8dcbd7eedcc4a90fd2d | 4,597 | py | Python | john_doe/cities/hungary.py | xioren/JohnDoe | 4bd16f394709cac246438c8ffd650b4b301cb2b7 | [
"MIT"
] | null | null | null | john_doe/cities/hungary.py | xioren/JohnDoe | 4bd16f394709cac246438c8ffd650b4b301cb2b7 | [
"MIT"
] | null | null | null | john_doe/cities/hungary.py | xioren/JohnDoe | 4bd16f394709cac246438c8ffd650b4b301cb2b7 | [
"MIT"
] | null | null | null | cities = [
'Budapest',
'Debrecen',
'Miskolc',
'Szeged',
'Pecs',
'Zuglo',
'Gyor',
'Nyiregyhaza',
'Kecskemet',
'Szekesfehervar',
'Szombathely',
'Jozsefvaros',
'Paradsasvar',
'Szolnok',
'Tatabanya',
'Kaposvar',
'Bekescsaba',
'Erd',
'Veszprem',
... | 16.301418 | 24 | 0.513161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,911 | 0.633239 |
c02010efda9ce4c421135232fa4f140efb168b1f | 969 | py | Python | carbon0/carbon_quiz/migrations/0010_auto_20200909_0853.py | Carbon0-Games/carbon0-web-app | 068a7223b2717d602944ec561adcde39930cba85 | [
"MIT"
] | 2 | 2020-10-30T15:07:28.000Z | 2020-12-22T04:29:50.000Z | carbon0/carbon_quiz/migrations/0010_auto_20200909_0853.py | Carbon0-Games/carbon0-web-app | 068a7223b2717d602944ec561adcde39930cba85 | [
"MIT"
] | 45 | 2020-09-22T12:47:55.000Z | 2022-03-12T00:48:18.000Z | carbon0/carbon_quiz/migrations/0010_auto_20200909_0853.py | Carbon0-Games/carbon0-web-app | 068a7223b2717d602944ec561adcde39930cba85 | [
"MIT"
] | 1 | 2020-09-08T15:48:13.000Z | 2020-09-08T15:48:13.000Z | # Generated by Django 3.1.1 on 2020-09-09 12:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("carbon_quiz", "0009_auto_20200908_2201"),
]
operations = [
migrations.RemoveField(
model_name="mission",
name="descr... | 25.5 | 79 | 0.522188 | 876 | 0.904025 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0.252838 |
c02051ed0ef783ea63f4159e47ac37ce14107e5a | 353 | py | Python | wstack/cli/input.py | CCSGroupInternational/wstack | 3b6d75cc6897a0e33d9a3ebb20a2f1642205d51e | [
"Apache-2.0"
] | null | null | null | wstack/cli/input.py | CCSGroupInternational/wstack | 3b6d75cc6897a0e33d9a3ebb20a2f1642205d51e | [
"Apache-2.0"
] | null | null | null | wstack/cli/input.py | CCSGroupInternational/wstack | 3b6d75cc6897a0e33d9a3ebb20a2f1642205d51e | [
"Apache-2.0"
] | null | null | null | import json
from ..webstack import run as webstack_run
def process(json_file_list):
for json_filename in json_file_list:
with open(json_filename) as json_file:
json_data = json.load(json_file)
webstack_data = json_data.get('webstack', None)
if webstack_data:
... | 29.416667 | 59 | 0.668555 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.028329 |
c02268e8d6e0cd77362adcfa474291e89d12f983 | 4,396 | py | Python | imgtags.py | Donearm/scripts | ad3429dc4b69e6108f538bf1656216c7a192c9fd | [
"OML"
] | 25 | 2015-02-23T00:07:14.000Z | 2022-03-27T01:57:41.000Z | imgtags.py | Donearm/scripts | ad3429dc4b69e6108f538bf1656216c7a192c9fd | [
"OML"
] | null | null | null | imgtags.py | Donearm/scripts | ad3429dc4b69e6108f538bf1656216c7a192c9fd | [
"OML"
] | 7 | 2015-11-25T22:04:37.000Z | 2020-02-18T22:11:09.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright (c) 2011-2019, Gianluca Fiore
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# ... | 33.30303 | 110 | 0.526615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,841 | 0.41879 |
c024a36ba5d1c4863b44768937e8d76c18a7d61a | 4,344 | py | Python | notes-to-self/trace.py | guilledk/trio | d09c21df3ffe401ee4314d869d82a886bd776e3c | [
"Apache-2.0",
"MIT"
] | 4,681 | 2017-03-10T22:38:41.000Z | 2022-03-31T11:47:44.000Z | notes-to-self/trace.py | guilledk/trio | d09c21df3ffe401ee4314d869d82a886bd776e3c | [
"Apache-2.0",
"MIT"
] | 2,143 | 2017-03-11T05:58:32.000Z | 2022-03-31T10:29:00.000Z | notes-to-self/trace.py | guilledk/trio | d09c21df3ffe401ee4314d869d82a886bd776e3c | [
"Apache-2.0",
"MIT"
] | 313 | 2017-03-11T05:24:33.000Z | 2022-03-23T18:26:02.000Z | import trio
import os
import json
from itertools import count
# Experiment with generating Chrome Event Trace format, which can be browsed
# through chrome://tracing or other mechanisms.
#
# Screenshot: https://files.gitter.im/python-trio/general/fp6w/image.png
#
# Trace format docs: https://docs.google.com/document/d... | 29.154362 | 109 | 0.570672 | 2,170 | 0.49931 | 0 | 0 | 0 | 0 | 639 | 0.147032 | 1,876 | 0.431661 |
c024d083863172cd08c0e34544cc15c4d39eca0b | 345 | py | Python | common/data_refinery_common/models/__init__.py | dongbohu/ccdl_test | be50b7ca35fba28676b594ba3f003b0b581abcb7 | [
"BSD-3-Clause"
] | null | null | null | common/data_refinery_common/models/__init__.py | dongbohu/ccdl_test | be50b7ca35fba28676b594ba3f003b0b581abcb7 | [
"BSD-3-Clause"
] | 3 | 2020-06-05T17:18:10.000Z | 2021-06-10T20:55:12.000Z | common/data_refinery_common/models/__init__.py | dongbohu/ccdl_test | be50b7ca35fba28676b594ba3f003b0b581abcb7 | [
"BSD-3-Clause"
] | null | null | null | from data_refinery_common.models.surveys import SurveyJob, SurveyJobKeyValue
from data_refinery_common.models.batches import (
BatchStatuses,
Batch,
BatchKeyValue,
File
)
from data_refinery_common.models.jobs import (
WorkerJob,
DownloaderJob,
ProcessorJob
)
from data_refinery_common.models.... | 24.642857 | 76 | 0.791304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c0263e8b4a30de418c75ebe0717861acba376145 | 1,144 | py | Python | src/client_sample.py | ryoutoku/gunicorn-soap | 5b7c6bedb7fda1486eb4402114276bdc7fd0e77c | [
"MIT"
] | null | null | null | src/client_sample.py | ryoutoku/gunicorn-soap | 5b7c6bedb7fda1486eb4402114276bdc7fd0e77c | [
"MIT"
] | null | null | null | src/client_sample.py | ryoutoku/gunicorn-soap | 5b7c6bedb7fda1486eb4402114276bdc7fd0e77c | [
"MIT"
] | null | null | null | from zeep import Client
from models import RequestParameter
class Caller:
def __init__(self):
wsdl_url = "http://0.0.0.0:8080/?wsdl"
self._name = "dummy_name"
self._times = 3
self._client = Client(wsdl_url)
def call_say_hello_1(self):
result = self._client.service.say... | 22 | 66 | 0.532343 | 808 | 0.706294 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.11451 |
c028333a0436a3c88c477f3244b6bd0fca21d64d | 1,600 | py | Python | rest_api/views.py | vikash98k/django-rest-api | 51c83a5d9c65f03b4b790ac965cd2222c6326752 | [
"MIT"
] | 1 | 2021-11-15T03:29:24.000Z | 2021-11-15T03:29:24.000Z | rest_api/views.py | vikash98k/django-rest-api | 51c83a5d9c65f03b4b790ac965cd2222c6326752 | [
"MIT"
] | null | null | null | rest_api/views.py | vikash98k/django-rest-api | 51c83a5d9c65f03b4b790ac965cd2222c6326752 | [
"MIT"
] | null | null | null | from rest_framework import generics
from .permissions import IsOwner
from .serializers import BucketlistSerializer, UserSerializer
from .models import Bucketlist
from django.contrib.auth.models import User
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import SessionAuthentica... | 39.02439 | 71 | 0.775625 | 1,267 | 0.791875 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.1625 |
c028ccbb3fd75e9d2a67753c98bec97a1ad49fb6 | 7,113 | py | Python | darling_ansible/python_venv/lib/python3.7/site-packages/oci/core/models/create_ip_sec_tunnel_bgp_session_details.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | null | null | null | darling_ansible/python_venv/lib/python3.7/site-packages/oci/core/models/create_ip_sec_tunnel_bgp_session_details.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | null | null | null | darling_ansible/python_venv/lib/python3.7/site-packages/oci/core/models/create_ip_sec_tunnel_bgp_session_details.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | 1 | 2020-06-25T03:12:58.000Z | 2020-06-25T03:12:58.000Z | # coding: utf-8
# Copyright (c) 2016, 2020, 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... | 37.240838 | 245 | 0.679882 | 6,573 | 0.924083 | 0 | 0 | 6,603 | 0.9283 | 0 | 0 | 5,513 | 0.77506 |
c029732da347682368446ad63ee588078d4cc569 | 752 | py | Python | server_django/prikmeter/views.py | ttencate/smartmetertap | c768a5818766f897cb5dcd223286b173b31a3a65 | [
"BSD-3-Clause"
] | 1 | 2017-10-26T05:28:08.000Z | 2017-10-26T05:28:08.000Z | server_django/prikmeter/views.py | ttencate/smartmetertap | c768a5818766f897cb5dcd223286b173b31a3a65 | [
"BSD-3-Clause"
] | 9 | 2017-10-16T07:15:51.000Z | 2021-09-11T07:39:40.000Z | server_django/prikmeter/views.py | ttencate/smartmetertap | c768a5818766f897cb5dcd223286b173b31a3a65 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import auth, messages
from django.shortcuts import redirect, render
from django.views.decorators.http import require_POST, require_safe
@require_safe
def index(request):
context = {}
return render(request, 'prikmeter/index.html', context)
@require_POST
def login(request):
email = req... | 26.857143 | 69 | 0.720745 | 0 | 0 | 0 | 0 | 587 | 0.780585 | 0 | 0 | 116 | 0.154255 |
c02a0889807a2eb0056cc9fc59fcd71cd6dcb6b8 | 146 | py | Python | scenarios/order_show/executable.py | trenton42/txbalanced | 9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14 | [
"MIT"
] | null | null | null | scenarios/order_show/executable.py | trenton42/txbalanced | 9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14 | [
"MIT"
] | null | null | null | scenarios/order_show/executable.py | trenton42/txbalanced | 9ee1b906d75b4b2fc3d2f5424dc3bbb9886c2b14 | [
"MIT"
] | null | null | null | import balanced
balanced.configure('ak-test-1o9QKwUCrwstHWO5sGxICtIJdQXFTjnrV')
order = balanced.Order.fetch('/orders/OR7qAh5x1cFzX0U9hD628LPa') | 29.2 | 64 | 0.842466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.527397 |
c02a0ebb0ba3ca2e51b79708e03d7785c34ec44d | 490 | py | Python | python/array/leetcode/move_zero.py | googege/algo-learn | 054d05e8037005c5810906d837de889108dad107 | [
"MIT"
] | 153 | 2020-09-24T12:46:51.000Z | 2022-03-31T21:30:44.000Z | python/array/leetcode/move_zero.py | googege/algo-learn | 054d05e8037005c5810906d837de889108dad107 | [
"MIT"
] | null | null | null | python/array/leetcode/move_zero.py | googege/algo-learn | 054d05e8037005c5810906d837de889108dad107 | [
"MIT"
] | 35 | 2020-12-22T11:07:06.000Z | 2022-03-09T03:25:08.000Z | from typing import List
# 移动零
class Solution:
# 新开一个数组
def moveZeroes1(self, nums: List[int]) -> None:
temp, k = [0] * len(nums), 0
for n in nums:
if n != 0:
temp[k] = n
k += 1
nums[:] = temp[:]
# 双指针解法
def moveZeroes2(self, nums:... | 19.6 | 51 | 0.418367 | 477 | 0.920849 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.092664 |
c02a3ab8ab4ad9227b45abfaa1e75b75d929e0e8 | 6,368 | py | Python | make_tfrecords.py | ssarfjoo/improvedsegan | df74761ed6404189ba26ccef40c38dddec334684 | [
"MIT"
] | 36 | 2017-10-26T04:15:48.000Z | 2021-08-10T02:10:18.000Z | make_tfrecords.py | ssarfjoo/improvedsegan | df74761ed6404189ba26ccef40c38dddec334684 | [
"MIT"
] | 4 | 2020-01-28T21:34:47.000Z | 2022-02-09T23:26:49.000Z | make_tfrecords.py | ssarfjoo/improvedsegan | df74761ed6404189ba26ccef40c38dddec334684 | [
"MIT"
] | 5 | 2018-09-03T11:50:41.000Z | 2021-12-25T08:58:45.000Z | from __future__ import print_function
import tensorflow as tf
import numpy as np
from collections import namedtuple, OrderedDict
from subprocess import call
import scipy.io.wavfile as wavfile
import argparse
import codecs
import timeit
import struct
import toml
import re
import sys
import os
def _int64_feature(value)... | 43.319728 | 89 | 0.617619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,194 | 0.1875 |
c02a8e075173d16d5fa606436bcb12e60ab69d67 | 1,684 | py | Python | software.py | schamberg97/bullshitMgimoProj | 1577e7a2b0256b98f259a2cc6667194abd689ec8 | [
"Unlicense"
] | null | null | null | software.py | schamberg97/bullshitMgimoProj | 1577e7a2b0256b98f259a2cc6667194abd689ec8 | [
"Unlicense"
] | null | null | null | software.py | schamberg97/bullshitMgimoProj | 1577e7a2b0256b98f259a2cc6667194abd689ec8 | [
"Unlicense"
] | null | null | null | from myShop import MyShop
from myBot import MYBOT
from sMenu import Menu
class software:
@staticmethod
def runShowTables():
#подключаем библиотеку
import xml.dom.minidom as minidom
from sMenu import Menu
#читаем XML из файла
dom = minidom.parse("myShop.xml")
dom.normalize()
#Читаем таблицу
def ... | 29.034483 | 127 | 0.71734 | 1,970 | 0.963796 | 0 | 0 | 1,947 | 0.952544 | 0 | 0 | 1,008 | 0.493151 |
c02b02d3a9106d7127a9a094f2f01f8ba90e6fb6 | 22,963 | py | Python | app/src/main/Python/Translate.py | tangcan1600/XuMiJie | 2e47d519c1c62ec3eabb576d80f783dd62052f44 | [
"MIT"
] | null | null | null | app/src/main/Python/Translate.py | tangcan1600/XuMiJie | 2e47d519c1c62ec3eabb576d80f783dd62052f44 | [
"MIT"
] | null | null | null | app/src/main/Python/Translate.py | tangcan1600/XuMiJie | 2e47d519c1c62ec3eabb576d80f783dd62052f44 | [
"MIT"
] | null | null | null | import time, sys, os, hashlib, json, re
import requests, random, js2py
import urllib.request
import urllib.parse
# 检验是否含有中文字符
def language(strs):
for char in strs:
if (u'\u4e00' <= char and char <= u'\u9fff'):
return 'zh', 'en' # 含有中文
return 'en', 'zh' # 不含有中文
class Baidu():
def __... | 36.276461 | 1,459 | 0.512041 | 20,415 | 0.836372 | 0 | 0 | 268 | 0.01098 | 0 | 0 | 13,104 | 0.536851 |
c02c417a57c64011bc9f7af79d7ad7b2fc564c8d | 132 | py | Python | examples/basic.py | EmbarkStudios/Python-xNormal | a4f005220d31d1e9085a7cbcc1ef46e70cff2753 | [
"BSD-2-Clause"
] | 52 | 2015-04-26T19:46:37.000Z | 2021-12-23T01:45:16.000Z | examples/basic.py | EmbarkStudios/Python-xNormal | a4f005220d31d1e9085a7cbcc1ef46e70cff2753 | [
"BSD-2-Clause"
] | 3 | 2015-10-22T08:07:38.000Z | 2019-08-02T18:13:59.000Z | examples/basic.py | EmbarkStudios/Python-xNormal | a4f005220d31d1e9085a7cbcc1ef46e70cff2753 | [
"BSD-2-Clause"
] | 10 | 2016-08-24T14:02:07.000Z | 2021-11-10T02:40:47.000Z | import xNormal
xNormal.run("piano_high.obj", "piano_low.obj", "piano.png", width=256, height=256, gen_normals = True, gen_ao = True) | 66 | 117 | 0.742424 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.318182 |
c02c5be917c2e7c70614350c8ed104d79b0759b4 | 1,266 | py | Python | jina/executors/evaluators/rank/recall.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | null | null | null | jina/executors/evaluators/rank/recall.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | null | null | null | jina/executors/evaluators/rank/recall.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | null | null | null | from typing import Sequence, Any, Optional
from . import BaseRankingEvaluator
class RecallEvaluator(BaseRankingEvaluator):
"""A :class:`RecallEvaluator` evaluates the Precision of the search.
It computes how many of the first given `eval_at` groundtruth are found in the matches
"""
metric = 'Reca... | 38.363636 | 120 | 0.648499 | 1,184 | 0.935229 | 0 | 0 | 0 | 0 | 0 | 0 | 602 | 0.475513 |
c02c896bba97da4b352ffab0bd4675b7575d7153 | 7,995 | py | Python | tests/tests_main.py | insilications/tqdm-clr | b09a24af7ffe5c85ed0e8e64b33059b43b1be020 | [
"MIT"
] | 22,617 | 2015-06-03T20:26:05.000Z | 2022-03-31T22:25:42.000Z | tests/tests_main.py | insilications/tqdm-clr | b09a24af7ffe5c85ed0e8e64b33059b43b1be020 | [
"MIT"
] | 1,230 | 2015-06-03T13:56:41.000Z | 2022-03-30T06:03:12.000Z | tests/tests_main.py | insilications/tqdm-clr | b09a24af7ffe5c85ed0e8e64b33059b43b1be020 | [
"MIT"
] | 1,445 | 2015-06-03T14:01:33.000Z | 2022-03-29T14:41:52.000Z | """Test CLI usage."""
import logging
import subprocess # nosec
import sys
from functools import wraps
from os import linesep
from tqdm.cli import TqdmKeyError, TqdmTypeError, main
from tqdm.utils import IS_WIN
from .tests_tqdm import BytesIO, _range, closing, mark, raises
def restore_sys(func):
"""Decorates `f... | 32.632653 | 86 | 0.591245 | 0 | 0 | 0 | 0 | 6,887 | 0.861413 | 0 | 0 | 2,023 | 0.253033 |
c02ddc618f6444651370434e959eed89c5b43ed2 | 2,881 | py | Python | plugins/commands.py | Kalpesh0/Project01 | 42383a3aa4a3f17ab69dd01357bfbb0740ba965b | [
"MIT"
] | null | null | null | plugins/commands.py | Kalpesh0/Project01 | 42383a3aa4a3f17ab69dd01357bfbb0740ba965b | [
"MIT"
] | null | null | null | plugins/commands.py | Kalpesh0/Project01 | 42383a3aa4a3f17ab69dd01357bfbb0740ba965b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @REQUEST_M0viz
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from script import script
@Client.on_message(filters.command(["start"]) & filters.private)
async def start(client, message):
try:
awa... | 36.468354 | 373 | 0.532107 | 0 | 0 | 0 | 0 | 2,702 | 0.929161 | 2,508 | 0.862448 | 646 | 0.222146 |
c02e20b826436ffe36a314fe9b02b8f0b79df9d5 | 3,583 | py | Python | gpjax/utils.py | thomaspinder/GPJax | 929fcb88d13d15bb10e1175491dbc3e79622325a | [
"Apache-2.0"
] | 44 | 2020-12-03T14:07:39.000Z | 2022-03-14T17:45:34.000Z | gpjax/utils.py | thomaspinder/GPJax | 929fcb88d13d15bb10e1175491dbc3e79622325a | [
"Apache-2.0"
] | 28 | 2020-12-05T08:54:45.000Z | 2022-03-01T09:56:50.000Z | gpjax/utils.py | thomaspinder/GPJax | 929fcb88d13d15bb10e1175491dbc3e79622325a | [
"Apache-2.0"
] | 7 | 2021-02-05T12:37:57.000Z | 2022-03-13T13:00:20.000Z | from copy import deepcopy
from typing import Tuple
import jax.numpy as jnp
from jax.scipy.linalg import cho_factor, cho_solve
from multipledispatch import dispatch
from .types import Array
def I(n: int) -> Array:
"""
Compute an n x n identity matrix.
:param n: The size of of the matrix.
:return: An ... | 33.485981 | 117 | 0.706391 | 0 | 0 | 0 | 0 | 1,112 | 0.310354 | 0 | 0 | 2,109 | 0.588613 |
c02f4130e68bf1161bbd1638142bdd926a75ebe7 | 999 | py | Python | tools/replace_version.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 681 | 2020-08-13T09:34:41.000Z | 2022-03-19T15:38:04.000Z | tools/replace_version.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 30 | 2020-11-03T19:23:14.000Z | 2021-10-13T17:19:34.000Z | tools/replace_version.py | jasmcaus/image-deep-learning-keras | 11ff37867c2cb86a92aceb0ac24accb3607e3635 | [
"MIT"
] | 127 | 2020-11-03T19:14:30.000Z | 2022-03-17T12:01:32.000Z | import os
def replace_version(old_version, new_version):
if not isinstance(old_version, tuple) or not isinstance(new_version, tuple):
raise ValueError("`old_version` and `new_version` must be a version tuple. Eg: (1.2.3)")
major, minor, micro = old_version[:3]
old_version = f'{major}.{minor}.{mic... | 39.96 | 99 | 0.585586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.212212 |
c03051f9b68bca498dcb3a06e10906ed145e2649 | 10,625 | py | Python | DashExperiments/make_plot.py | magruener/reconstructing-proprietary-video-streaming-algorithms | 29917b64e25a81561db7629fbd97e4a935146825 | [
"MIT"
] | 9 | 2020-09-07T17:24:13.000Z | 2022-03-12T23:41:47.000Z | DashExperiments/make_plot.py | magruener/reconstructing-proprietary-video-streaming-algorithms | 29917b64e25a81561db7629fbd97e4a935146825 | [
"MIT"
] | null | null | null | DashExperiments/make_plot.py | magruener/reconstructing-proprietary-video-streaming-algorithms | 29917b64e25a81561db7629fbd97e4a935146825 | [
"MIT"
] | 2 | 2020-11-13T06:49:54.000Z | 2021-01-28T12:24:20.000Z | import argparse
import math
import matplotlib.pyplot as plt
import os
import numpy as np
import shutil
import pandas as pd
import seaborn as sns
sns.set()
sns.set_context("talk")
NUM_BINS = 100
path = '../Data/Video_Info/Pensieve_Info/PenieveVideo_video_info'
video_mappings = {}
video_mappings['300'] = '320x180x30_v... | 34.836066 | 174 | 0.609318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,216 | 0.208565 |
c0319cff4f20f991c3fca5acb4a16d11e559fce4 | 936 | py | Python | aiopoke/objects/utility/common_models/encounter.py | beastmatser/aiopokeapi | 6ffe10bf8db0b6349cabf5b5b01b738214f805d0 | [
"MIT"
] | 3 | 2021-10-03T13:49:47.000Z | 2022-03-31T03:12:30.000Z | aiopoke/objects/utility/common_models/encounter.py | beastmatser/aiopokeapi | 6ffe10bf8db0b6349cabf5b5b01b738214f805d0 | [
"MIT"
] | 3 | 2022-01-18T07:31:08.000Z | 2022-01-18T07:32:09.000Z | aiopoke/objects/utility/common_models/encounter.py | beastmatser/aiopokeapi | 6ffe10bf8db0b6349cabf5b5b01b738214f805d0 | [
"MIT"
] | 1 | 2022-01-19T12:35:09.000Z | 2022-01-19T12:35:09.000Z | from typing import TYPE_CHECKING, Any, Dict, List
from aiopoke.utils.minimal_resources import MinimalResource
from aiopoke.utils.resource import Resource
if TYPE_CHECKING:
from aiopoke.objects.resources import EncounterConditionValue, EncounterMethod
class Encounter(Resource):
min_level: int
max_level: ... | 28.363636 | 86 | 0.681624 | 676 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.044872 |
c03228b2ca7a1e5710fd3d833f2457053dd2e585 | 834 | py | Python | 2015/solutions/day1.py | rsizem2/aoc_2020 | aa2dbf72a4c44930755bd9cc132ad7854f742f09 | [
"MIT"
] | null | null | null | 2015/solutions/day1.py | rsizem2/aoc_2020 | aa2dbf72a4c44930755bd9cc132ad7854f742f09 | [
"MIT"
] | null | null | null | 2015/solutions/day1.py | rsizem2/aoc_2020 | aa2dbf72a4c44930755bd9cc132ad7854f742f09 | [
"MIT"
] | null | null | null |
def read_file(test = True):
if test:
filename = '../tests/day1.txt'
else:
filename = '../input/day1.txt'
with open(filename) as file:
temp = list()
for line in file:
temp.append(line.strip())
return temp
def puzzle1():
temp = read_file(False)[0]
floo... | 20.85 | 46 | 0.464029 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.059952 |
c032d43f5d12902206b5df36fccb87158ca21d3e | 466 | py | Python | setup.py | Kamuish/StarSearch | 63e5f6ee544ab1d48ae5b0d8e9067cedccc40d1e | [
"MIT"
] | null | null | null | setup.py | Kamuish/StarSearch | 63e5f6ee544ab1d48ae5b0d8e9067cedccc40d1e | [
"MIT"
] | null | null | null | setup.py | Kamuish/StarSearch | 63e5f6ee544ab1d48ae5b0d8e9067cedccc40d1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from setuptools import setup
setup(name='starsearch',
version='0.3',
description='Package to dig into the ESO archives',
author='João Camacho',
author_email='[email protected]',
license='MIT',
url='https://github.com/jdavidrcamac... | 24.526316 | 57 | 0.592275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.496788 |
c033f2c7fd8a3e95e76135943dd54b89791b98ca | 4,192 | py | Python | test/integration/test_genomes.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | null | null | null | test/integration/test_genomes.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | 6 | 2021-11-11T20:57:49.000Z | 2021-12-10T15:30:33.000Z | test/integration/test_genomes.py | beatrizserrano/galaxy | e149d9d32e1bca6c07c38b1a9cdabfee60323610 | [
"CC-BY-3.0"
] | null | null | null | import os
import tempfile
from unittest.mock import patch
from galaxy.exceptions import (
ObjectNotFound,
ReferenceDataError,
)
from galaxy_test.driver import integration_util
BUILDS_DATA = (
"?\tunspecified (?)",
"hg_test\tdescription of hg_test",
"hg_test_nolen\tdescription of hg_test_nolen",
)
... | 37.765766 | 105 | 0.659351 | 3,672 | 0.875954 | 0 | 0 | 947 | 0.225906 | 0 | 0 | 796 | 0.189885 |
c034484825d157d2b2d547cd6cfeff947673d5f5 | 2,310 | py | Python | examples/exersice2DimRed.py | s2812135/Data_Challenges_WiSe2122 | a55372f444e7344af4e2e1f04e4244fb8cefeefe | [
"MIT"
] | null | null | null | examples/exersice2DimRed.py | s2812135/Data_Challenges_WiSe2122 | a55372f444e7344af4e2e1f04e4244fb8cefeefe | [
"MIT"
] | null | null | null | examples/exersice2DimRed.py | s2812135/Data_Challenges_WiSe2122 | a55372f444e7344af4e2e1f04e4244fb8cefeefe | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import os
from tqdm import tqdm
import pacmap
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import umap
def darius1(numberDirectory):
path = ""
if(numberDirectory == 1):
directorys = [
['training_setA/training/', 'p0']
]
... | 29.615385 | 98 | 0.587446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 754 | 0.326407 |
c0347d378ceb67aeed162b5a86aeec563c7f0a79 | 5,757 | py | Python | release.py | jhofmann/yubiauth | 724feb45b54db196af406edf87f2bfcc2e849842 | [
"BSD-2-Clause"
] | 17 | 2015-01-06T16:28:55.000Z | 2021-11-21T15:26:01.000Z | release.py | DalavanCloud/yubiauth | 42292de043f8e106384796ff233be0b2dc930f60 | [
"BSD-2-Clause"
] | 4 | 2015-09-11T14:00:14.000Z | 2017-05-25T15:00:17.000Z | release.py | DalavanCloud/yubiauth | 42292de043f8e106384796ff233be0b2dc930f60 | [
"BSD-2-Clause"
] | 9 | 2015-03-11T22:37:47.000Z | 2022-03-01T21:17:35.000Z | # Copyright (c) 2013 Yubico AB
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditi... | 38.125828 | 78 | 0.605176 | 4,226 | 0.734063 | 0 | 0 | 0 | 0 | 0 | 0 | 2,399 | 0.41671 |
c034cf5f5c4b3712b5f752c6874beaede0ef7f49 | 10,949 | py | Python | fabfile.py | 8081594571/bgtools_web | f99389788f6e8db0d1b7781f41af819efd7e9dc2 | [
"MIT"
] | 1 | 2020-10-01T15:56:12.000Z | 2020-10-01T15:56:12.000Z | fabfile.py | Arvindvishwakarma/bgtools_web | 82b03c49e00a6ffcc563289c68bcf2a7a6985633 | [
"MIT"
] | null | null | null | fabfile.py | Arvindvishwakarma/bgtools_web | 82b03c49e00a6ffcc563289c68bcf2a7a6985633 | [
"MIT"
] | 1 | 2020-10-01T06:53:41.000Z | 2020-10-01T06:53:41.000Z |
# Credit goes to https://bitbucket.org/spookylukey/django-fabfile-starter/src
import os
import datetime as dt
from io import StringIO
import json
import posixpath
import fabric
import requests
from fabsettings import (USER, HOST, DJANGO_APP_NAME,
DJANGO_APPS_DIR, LOGS_ROOT_DIR,
... | 38.017361 | 115 | 0.574664 | 0 | 0 | 0 | 0 | 1,223 | 0.1117 | 0 | 0 | 2,810 | 0.256644 |
c034fca0ee726969b9b040225228ff287755ee94 | 5,273 | py | Python | Deep Thumbnail Face Classification and Verification/models/ShuffleNetV2.py | roycechan/portfolio | 5e6a916031d2a3c60d2757483fc4765941d6f1f0 | [
"MIT"
] | 1 | 2022-03-14T04:59:54.000Z | 2022-03-14T04:59:54.000Z | Deep Thumbnail Face Classification and Verification/models/ShuffleNetV2.py | roycechan/portfolio | 5e6a916031d2a3c60d2757483fc4765941d6f1f0 | [
"MIT"
] | null | null | null | Deep Thumbnail Face Classification and Verification/models/ShuffleNetV2.py | roycechan/portfolio | 5e6a916031d2a3c60d2757483fc4765941d6f1f0 | [
"MIT"
] | null | null | null | import torch
from torch import nn
from torch.autograd import Variable
import config
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.xavier_normal_(m.weight)
if m.bias is not None:
nn.init.constant_(m.bias, 0)
def conv(in_chann... | 36.365517 | 120 | 0.616537 | 4,323 | 0.819837 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.040015 |
c036324f468e909b938249cc16b70ee9b1588b7d | 6,264 | py | Python | warhorn_api.py | jagerkin/warbot | d30851a454b9eef45d5d4d095ae63e846229153d | [
"Apache-2.0"
] | 1 | 2021-12-23T05:09:01.000Z | 2021-12-23T05:09:01.000Z | warhorn_api.py | jagerkin/warbot | d30851a454b9eef45d5d4d095ae63e846229153d | [
"Apache-2.0"
] | 1 | 2021-12-23T05:00:24.000Z | 2021-12-23T05:00:24.000Z | warhorn_api.py | jagerkin/warbot | d30851a454b9eef45d5d4d095ae63e846229153d | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Michael Olson
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 32.968421 | 98 | 0.608397 | 4,729 | 0.754949 | 995 | 0.158844 | 650 | 0.103768 | 995 | 0.158844 | 3,059 | 0.488346 |
c036c5b85abcd0ef620f9e8bbff718b557b0b6ee | 13,750 | py | Python | regnerf/internal/models.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-13T21:48:52.000Z | 2022-03-13T21:48:52.000Z | regnerf/internal/models.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | null | null | null | regnerf/internal/models.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | 38.300836 | 84 | 0.663273 | 8,196 | 0.596073 | 0 | 0 | 8,232 | 0.598691 | 0 | 0 | 5,349 | 0.389018 |
c03730c3fe56f310fa37ff5662b46d4ef0a1326f | 13,948 | py | Python | Gems/AtomLyIntegration/TechnicalArt/DccScriptingInterface/Tools/DCC/Maya/constants.py | prophetl33t/o3de | eaeeb883eee1594b1b93327f6909eebd1a826caf | [
"Apache-2.0",
"MIT"
] | null | null | null | Gems/AtomLyIntegration/TechnicalArt/DccScriptingInterface/Tools/DCC/Maya/constants.py | prophetl33t/o3de | eaeeb883eee1594b1b93327f6909eebd1a826caf | [
"Apache-2.0",
"MIT"
] | null | null | null | Gems/AtomLyIntegration/TechnicalArt/DccScriptingInterface/Tools/DCC/Maya/constants.py | prophetl33t/o3de | eaeeb883eee1594b1b93327f6909eebd1a826caf | [
"Apache-2.0",
"MIT"
] | null | null | null | # coding:utf-8
#!/usr/bin/python
#
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
# ------------------------------------------------------------------------... | 41.144543 | 99 | 0.674649 | 0 | 0 | 99 | 0.007098 | 0 | 0 | 0 | 0 | 6,743 | 0.483438 |
c03733662ac655fa4e1af62db62b069a9399ac49 | 1,958 | py | Python | lib/data/finetune_imagenet.py | liqi17thu/Stand-Alone-Self-Attention | 43c016ca14a9f5ce7ab59eefe2c41d96df04d151 | [
"MIT"
] | 1 | 2020-11-29T15:59:07.000Z | 2020-11-29T15:59:07.000Z | lib/data/finetune_imagenet.py | liqi17thu/Stand-Alone-Self-Attention | 43c016ca14a9f5ce7ab59eefe2c41d96df04d151 | [
"MIT"
] | null | null | null | lib/data/finetune_imagenet.py | liqi17thu/Stand-Alone-Self-Attention | 43c016ca14a9f5ce7ab59eefe2c41d96df04d151 | [
"MIT"
] | null | null | null | import torch
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from lib.data.data_util import ImageNetPolicy, ToBGRTensor
from lib.config import cfg
from lib.data.transformer_v2 import get_transforms
def finetune_imagenet():
transformation = get_transforms(input_size=cfg.dataset... | 35.6 | 110 | 0.689479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.019918 |
c03974668d2a1ee4545cf6fd342d588c2d650bb4 | 6,519 | py | Python | test/acceptance/test_kamma.py | marceljanerfont/kamma | a1dfaf06475ebb2feb50ac1e6fd8eb79b2beda68 | [
"MIT"
] | 1 | 2017-06-05T04:40:01.000Z | 2017-06-05T04:40:01.000Z | test/acceptance/test_kamma.py | marceljanerfont/kamma | a1dfaf06475ebb2feb50ac1e6fd8eb79b2beda68 | [
"MIT"
] | 2 | 2017-06-29T14:23:59.000Z | 2017-06-29T14:24:58.000Z | test/acceptance/test_kamma.py | marceljanerfont/kamma | a1dfaf06475ebb2feb50ac1e6fd8eb79b2beda68 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
try:
import unittest2 as unittest
except ImportError:
import unittest
from multiprocessing import Manager
from random import randint
import logging
import sys
import os
import copy
import shutil
# add kamma path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dir... | 33.953125 | 144 | 0.666973 | 5,157 | 0.791072 | 0 | 0 | 0 | 0 | 0 | 0 | 689 | 0.105691 |
c03a48434d8a8fb57465d077a992cea579fd3c43 | 855 | py | Python | wrappers/python/demo_mp_sync.py | Qworg/libfreenect | 4cca607b37debdd006c3e693954292da11402a7e | [
"Apache-2.0"
] | 10 | 2020-03-09T02:31:01.000Z | 2021-12-14T18:29:27.000Z | wrappers/python/demo_mp_sync.py | Qworg/libfreenect | 4cca607b37debdd006c3e693954292da11402a7e | [
"Apache-2.0"
] | null | null | null | wrappers/python/demo_mp_sync.py | Qworg/libfreenect | 4cca607b37debdd006c3e693954292da11402a7e | [
"Apache-2.0"
] | 1 | 2018-06-23T04:58:30.000Z | 2018-06-23T04:58:30.000Z | #!/usr/bin/env python
import freenect
import matplotlib.pyplot as mp
import frame_convert
import signal
keep_running = True
def get_depth():
return frame_convert.pretty_depth(freenect.sync_get_depth()[0])
def get_video():
return freenect.sync_get_video()[0]
def handler(signum, frame):
"""Sets up the ... | 21.375 | 76 | 0.730994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.139181 |
c03ae4d1c246454dbef54627c8b2804bc08c11f8 | 1,189 | py | Python | codes/models/modules/LPIPS/compute_dists.py | DinJerr/BasicSR | b992a386e63daed5193b775080b9066ff2421d85 | [
"Apache-2.0"
] | 5 | 2020-06-07T18:07:45.000Z | 2020-09-06T02:13:52.000Z | codes/models/modules/LPIPS/compute_dists.py | DinJerr/BasicSR | b992a386e63daed5193b775080b9066ff2421d85 | [
"Apache-2.0"
] | null | null | null | codes/models/modules/LPIPS/compute_dists.py | DinJerr/BasicSR | b992a386e63daed5193b775080b9066ff2421d85 | [
"Apache-2.0"
] | 1 | 2020-06-28T05:55:41.000Z | 2020-06-28T05:55:41.000Z | #import models
from models.modules.LPIPS import perceptual_loss as models
####################
# metric
####################
model = None
def calculate_lpips(img1_im, img2_im, use_gpu=False, net='squeeze', spatial=False):
'''calculate Perceptual Metric using LPIPS
img1_im, img2_im: BGR image from [0,255]
... | 27.651163 | 94 | 0.612279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 486 | 0.408747 |
c03b78905f8ecc14f0212e38dfa62f635acd9408 | 59,338 | py | Python | msgraph-cli-extensions/v1_0/sites_v1_0/azext_sites_v1_0/vendored_sdks/sites/models/_sites_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | msgraph-cli-extensions/v1_0/sites_v1_0/azext_sites_v1_0/vendored_sdks/sites/models/_sites_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | msgraph-cli-extensions/v1_0/sites_v1_0/azext_sites_v1_0/vendored_sdks/sites/models/_sites_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 30.259052 | 119 | 0.701945 | 58,532 | 0.986417 | 0 | 0 | 0 | 0 | 0 | 0 | 19,069 | 0.321362 |
c03be9166bd151ec0d6a3cb24a69aeb0b4160c8e | 456 | py | Python | evntbus/decorators.py | jmwri/eventbus | fe91ab2486b99bffb0232c23d45d0c5dedce1b42 | [
"MIT"
] | null | null | null | evntbus/decorators.py | jmwri/eventbus | fe91ab2486b99bffb0232c23d45d0c5dedce1b42 | [
"MIT"
] | null | null | null | evntbus/decorators.py | jmwri/eventbus | fe91ab2486b99bffb0232c23d45d0c5dedce1b42 | [
"MIT"
] | null | null | null | import typing
if typing.TYPE_CHECKING:
from evntbus.bus import Bus
def listen_decorator(evntbus: 'Bus'):
class ListenDecorator(object):
def __init__(self, event: typing.Type, priority: int = 5):
self.event = event
self.priority = priority
def __call__(self, f: typing.... | 25.333333 | 66 | 0.644737 | 311 | 0.682018 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.010965 |
c03c898e35d62712b812e780c7c19ccba395542b | 1,481 | py | Python | src/shortcircuit/model/crestprocessor.py | farshield/shortcircu | 87d45ea85b78e3e7da72b7b44755dc429b4fdf5a | [
"MIT"
] | 35 | 2016-06-22T20:07:31.000Z | 2021-04-07T11:02:08.000Z | src/shortcircuit/model/crestprocessor.py | farshield/shortcircu | 87d45ea85b78e3e7da72b7b44755dc429b4fdf5a | [
"MIT"
] | 15 | 2016-06-17T09:36:02.000Z | 2020-10-30T11:39:07.000Z | src/shortcircuit/model/crestprocessor.py | farshield/shortcircu | 87d45ea85b78e3e7da72b7b44755dc429b4fdf5a | [
"MIT"
] | 16 | 2016-10-02T16:09:18.000Z | 2021-05-29T02:51:14.000Z | # crestprocessor.py
import threading
from PySide import QtCore
from crest.crest import Crest
class CrestProcessor(QtCore.QObject):
"""
CREST Middle-ware
"""
login_response = QtCore.Signal(str)
logout_response = QtCore.Signal()
location_response = QtCore.Signal(str)
destination_response = ... | 29.62 | 107 | 0.704929 | 1,384 | 0.934504 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.035111 |
c03d2bdffd5f75d12bc1d6868d5c20f3a01b1c33 | 4,496 | py | Python | src/commands/pipelines.py | vicobits/sawi-cli | 0e3717e0e3d853599b87f8ea147a3f1e9566344b | [
"MIT"
] | 1 | 2019-05-02T05:16:07.000Z | 2019-05-02T05:16:07.000Z | src/commands/pipelines.py | vicobits/wise-cli | 0e3717e0e3d853599b87f8ea147a3f1e9566344b | [
"MIT"
] | null | null | null | src/commands/pipelines.py | vicobits/wise-cli | 0e3717e0e3d853599b87f8ea147a3f1e9566344b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import click
from src.commands.project import Project
from src.commands.server import Server
from src.commands.config import WebServer
from src.common.context import CommandContext
from src.common.decorators import settings, update_config_file
class Pipeline:
@staticmethod
@setting... | 28.636943 | 99 | 0.635899 | 4,222 | 0.939057 | 0 | 0 | 3,837 | 0.853425 | 0 | 0 | 830 | 0.184609 |
c03e4bfd7eee3d8023944a7e3e5535ae1233ba11 | 1,341 | py | Python | build.py | jmetzz/coffee-chatbot | da7e76d9532c8e5e38a47a19ffed1f1e27601766 | [
"MIT"
] | null | null | null | build.py | jmetzz/coffee-chatbot | da7e76d9532c8e5e38a47a19ffed1f1e27601766 | [
"MIT"
] | null | null | null | build.py | jmetzz/coffee-chatbot | da7e76d9532c8e5e38a47a19ffed1f1e27601766 | [
"MIT"
] | null | null | null | from pybuilder.core import use_plugin, init
use_plugin("python.core")
use_plugin("python.unittest")
use_plugin("python.install_dependencies")
use_plugin("python.flake8")
use_plugin("python.coverage")
name = "ActionServerPybuilder"
default_task = ['install_dependencies', 'analyze', 'publish']
@init
def set_properties... | 35.289474 | 78 | 0.774049 | 0 | 0 | 0 | 0 | 1,039 | 0.774795 | 0 | 0 | 580 | 0.432513 |
c03eda4a030a4816bf3db4784bc7ac9588f4b176 | 4,278 | py | Python | electrumsv/devices/hw_wallet/plugin.py | tuoshao/electrumsv | 5f0132cafa2c90bb36c8a574874e027e44a637e6 | [
"MIT"
] | 1 | 2021-12-28T10:52:11.000Z | 2021-12-28T10:52:11.000Z | electrumsv/devices/hw_wallet/plugin.py | SomberNight/electrumsv | 28262e3cab7b73e4960466f8aee252975953acf8 | [
"MIT"
] | null | null | null | electrumsv/devices/hw_wallet/plugin.py | SomberNight/electrumsv | 28262e3cab7b73e4960466f8aee252975953acf8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- mode: python -*-
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2016 The Electrum developers
#
# 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... | 39.611111 | 97 | 0.679056 | 2,917 | 0.681861 | 0 | 0 | 0 | 0 | 0 | 0 | 1,940 | 0.453483 |
c0418cbebf8e032e1171fe327cac277a1bbb13e1 | 631 | py | Python | api_service/tests/test_model_ids.py | seattleflu/Seattle-Flu-Incidence-Mapper | 2b72e53da974874b98e1811cdb77e170c33999f1 | [
"MIT"
] | 6 | 2019-03-22T18:28:04.000Z | 2021-02-23T03:53:19.000Z | api_service/tests/test_model_ids.py | seattleflu/Seattle-Flu-Incidence-Mapper | 2b72e53da974874b98e1811cdb77e170c33999f1 | [
"MIT"
] | 103 | 2019-04-03T15:30:06.000Z | 2021-11-15T17:48:22.000Z | api_service/tests/test_model_ids.py | seattleflu/incidence-mapper | 2b72e53da974874b98e1811cdb77e170c33999f1 | [
"MIT"
] | 6 | 2019-07-01T04:43:44.000Z | 2021-02-13T21:46:18.000Z | import unittest
from seattle_flu_incidence_mapper.utils import get_model_id
class TestGetIdFromQuery(unittest.TestCase):
def test_ids_match_expected(self):
ids = {
"f39442e6883958971ecc1d0213c59f91": {"model_type":"inla","observed":["encountered_week","flu_shot","PUMA5CE","sampling_location"... | 39.4375 | 163 | 0.681458 | 551 | 0.873217 | 0 | 0 | 0 | 0 | 0 | 0 | 254 | 0.402536 |
c04331c5a5c72cc4fd22977bf1a531a2facdca4e | 445 | py | Python | Cleaning.py | TharindraParanagama/MovieClassification | 2cdee9a2aaf1f55d0a59b20181e69c524c4d5895 | [
"MIT"
] | null | null | null | Cleaning.py | TharindraParanagama/MovieClassification | 2cdee9a2aaf1f55d0a59b20181e69c524c4d5895 | [
"MIT"
] | null | null | null | Cleaning.py | TharindraParanagama/MovieClassification | 2cdee9a2aaf1f55d0a59b20181e69c524c4d5895 | [
"MIT"
] | null | null | null | import csv
input = open('MovieI.csv', 'rb')
output = open('MovieO.csv', 'wb')
writer = csv.writer(output)
for row in csv.reader(input):
for i in range(len(row)):
if(row[0]==''):
break
elif(row[1]==''):
break
elif(row[2]==''):
break
elif(row[3]==''... | 21.190476 | 33 | 0.483146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.094382 |
c0451d8d32195eb2257b24e61657609915f300f2 | 87 | py | Python | venues/apps.py | danroberts728/hsvdotbeer | 5b977bf4a7aab149ad56564b3adbb09424500308 | [
"Apache-2.0"
] | 18 | 2018-12-06T01:46:37.000Z | 2021-10-17T10:37:17.000Z | venues/apps.py | danroberts728/hsvdotbeer | 5b977bf4a7aab149ad56564b3adbb09424500308 | [
"Apache-2.0"
] | 194 | 2018-11-04T12:50:49.000Z | 2022-01-06T22:43:43.000Z | venues/apps.py | danroberts728/hsvdotbeer | 5b977bf4a7aab149ad56564b3adbb09424500308 | [
"Apache-2.0"
] | 7 | 2019-03-18T05:36:06.000Z | 2020-12-25T03:27:29.000Z | from django.apps import AppConfig
class VenuesConfig(AppConfig):
name = "venues"
| 14.5 | 33 | 0.747126 | 50 | 0.574713 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.091954 |
c045d1511440dddecfef10dbcd54c672252a332e | 1,137 | py | Python | problems/remove-duplicates-from-sorted-list.py | sailikhithk/tech-interview-prep | e833764cf98915d56118bddfa0e01871c58de75e | [
"Apache-2.0"
] | null | null | null | problems/remove-duplicates-from-sorted-list.py | sailikhithk/tech-interview-prep | e833764cf98915d56118bddfa0e01871c58de75e | [
"Apache-2.0"
] | null | null | null | problems/remove-duplicates-from-sorted-list.py | sailikhithk/tech-interview-prep | e833764cf98915d56118bddfa0e01871c58de75e | [
"Apache-2.0"
] | null | null | null | """
The key is to use a set to remember if we seen the node or not.
Next, think about how we are going to *remove* the duplicate node?
The answer is to simply link the previous node to the next node.
So we need to keep a pointer `prev` on the previous node as we iterate the linked list.
So, the solution.
Create a set ... | 34.454545 | 88 | 0.602463 | 504 | 0.443272 | 0 | 0 | 0 | 0 | 0 | 0 | 650 | 0.57168 |
c046ab37f041136a24de450d5779fbb10cbaed54 | 3,344 | py | Python | corehq/apps/analytics/signals.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2020-05-05T13:10:01.000Z | 2020-05-05T13:10:01.000Z | corehq/apps/analytics/signals.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2019-12-09T14:00:14.000Z | 2019-12-09T14:00:14.000Z | corehq/apps/analytics/signals.py | MaciejChoromanski/commcare-hq | fd7f65362d56d73b75a2c20d2afeabbc70876867 | [
"BSD-3-Clause"
] | 5 | 2015-11-30T13:12:45.000Z | 2019-07-01T19:27:07.000Z | from __future__ import absolute_import
from __future__ import unicode_literals
import six
from django.conf import settings
from django.contrib.auth.signals import user_logged_in
from corehq.apps.analytics.tasks import (
track_user_sign_in_on_hubspot,
HUBSPOT_COOKIE,
update_hubspot_properties,
identify,... | 39.341176 | 99 | 0.720993 | 0 | 0 | 0 | 0 | 1,695 | 0.506878 | 0 | 0 | 246 | 0.073565 |
c046c72c4e753549e8ec891d9f48179094bc06ed | 775 | py | Python | manage.py | BeyondLam/Flask_Blog_Python3 | 274c932e9ea28bb6c83335e408a2cd9f1cf4fcb6 | [
"Apache-2.0"
] | 2 | 2019-10-25T16:35:41.000Z | 2019-10-26T10:54:00.000Z | manage.py | BeyondLam/Flask_Blog_Python3 | 274c932e9ea28bb6c83335e408a2cd9f1cf4fcb6 | [
"Apache-2.0"
] | null | null | null | manage.py | BeyondLam/Flask_Blog_Python3 | 274c932e9ea28bb6c83335e408a2cd9f1cf4fcb6 | [
"Apache-2.0"
] | null | null | null | from app import create_app, db
from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
app = create_app("develop")
manager = Manager(app)
Migrate(app, db)
manager.add_command("db", MigrateCommand)
# 初始化管理员账号数据,添加manager命令
@manager.command
def create_admin():
from app.models import Admi... | 27.678571 | 101 | 0.707097 | 0 | 0 | 0 | 0 | 496 | 0.602673 | 0 | 0 | 109 | 0.132442 |
c047ab7812a83340a4a3ccb035cf5db37d2b6b67 | 2,954 | py | Python | qiling/qiling/cc/intel.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | 2 | 2021-05-05T12:03:01.000Z | 2021-06-04T14:27:15.000Z | qiling/qiling/cc/intel.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | null | null | null | qiling/qiling/cc/intel.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | 2 | 2021-05-05T12:03:09.000Z | 2021-06-04T14:27:21.000Z | #!/usr/bin/env python3
#
# Cross Platform and Multi Architecture Advanced Binary Emulation Framework
from unicorn.x86_const import (
UC_X86_REG_AX, UC_X86_REG_EAX, UC_X86_REG_RAX, UC_X86_REG_RCX,
UC_X86_REG_RDI, UC_X86_REG_RDX, UC_X86_REG_RSI, UC_X86_REG_R8,
UC_X86_REG_R9, UC_X86_REG_R10
)
from qiling import Qili... | 26.854545 | 122 | 0.728842 | 2,586 | 0.875423 | 0 | 0 | 168 | 0.056872 | 0 | 0 | 1,215 | 0.411307 |
c048a21dfcef4ce86fe3963107c1c071b1d5b9b1 | 2,639 | py | Python | Alexa_Dynamo.py | gnomesoup/pyDynamo | dea046e96f7973fcb6c28a274a3092b246457551 | [
"Unlicense",
"MIT"
] | null | null | null | Alexa_Dynamo.py | gnomesoup/pyDynamo | dea046e96f7973fcb6c28a274a3092b246457551 | [
"Unlicense",
"MIT"
] | null | null | null | Alexa_Dynamo.py | gnomesoup/pyDynamo | dea046e96f7973fcb6c28a274a3092b246457551 | [
"Unlicense",
"MIT"
] | null | null | null | ### ----------- Python Code ------------###
import csv
from flask import Flask, render_template
from flask_ask import Ask, statement, question, session
import pandas as pd
### ------------- Start Alexa Stuff ---------###
app = Flask(__name__)
ask = Ask(app, "/")
#logging.getLogger("flask_ask").setLevel(logging.DE... | 30.333333 | 71 | 0.575597 | 0 | 0 | 0 | 0 | 1,262 | 0.478211 | 0 | 0 | 1,362 | 0.516105 |
c04935b8a935560d2540de8efce949baca20ee57 | 846 | py | Python | HW/hklearn/model.py | leguiart/Machine-Learning | 2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253 | [
"MIT"
] | null | null | null | HW/hklearn/model.py | leguiart/Machine-Learning | 2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253 | [
"MIT"
] | null | null | null | HW/hklearn/model.py | leguiart/Machine-Learning | 2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253 | [
"MIT"
] | null | null | null | import abc
'''
Interfaz sobre la cual todo modelo implementa.
Todo modelo dentro de la biblioteca hklearn implementa
los siguientes comportamientos:
-fit : Entrena el modelo con un a matriz de ejemplos X y sus respectivas etiquetas y
-predict : El modelo entrenado, predice con base en una entrada X
... | 31.333333 | 89 | 0.640662 | 463 | 0.547281 | 0 | 0 | 439 | 0.518913 | 0 | 0 | 417 | 0.492908 |
c0499e4593031598062f2a6d6d126c43c5ef1d2d | 35,951 | py | Python | pecos/utils/smat_util.py | UniqueUpToPermutation/pecos | 52dba0b6a1d5d0809838ac9ddb6c02a93da2624e | [
"Apache-2.0",
"BSD-3-Clause"
] | 2 | 2021-07-28T21:09:58.000Z | 2021-09-24T03:37:45.000Z | pecos/utils/smat_util.py | UniqueUpToPermutation/pecos | 52dba0b6a1d5d0809838ac9ddb6c02a93da2624e | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | pecos/utils/smat_util.py | UniqueUpToPermutation/pecos | 52dba0b6a1d5d0809838ac9ddb6c02a93da2624e | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2021-09-24T04:00:47.000Z | 2021-09-24T04:00:47.000Z | # Copyright 2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acco... | 38.992408 | 208 | 0.648549 | 4,889 | 0.135991 | 0 | 0 | 4,317 | 0.12008 | 0 | 0 | 16,349 | 0.454758 |
c04a299ef4dc134ab3bfdfd03d7e5fd9d275da7c | 1,944 | py | Python | MSMetaEnhancer/libs/Curator.py | xtrojak/pyMSPannotator | 4d6ec0ee9781294c621271a6c045e0b15102bb9b | [
"MIT"
] | 2 | 2021-06-16T07:42:02.000Z | 2021-06-16T09:26:59.000Z | MSMetaEnhancer/libs/Curator.py | xtrojak/pyMSPannotator | 4d6ec0ee9781294c621271a6c045e0b15102bb9b | [
"MIT"
] | 34 | 2021-06-15T09:52:51.000Z | 2021-11-11T13:47:11.000Z | MSMetaEnhancer/libs/Curator.py | xtrojak/pyMSPannotator | 4d6ec0ee9781294c621271a6c045e0b15102bb9b | [
"MIT"
] | 4 | 2021-06-09T06:42:19.000Z | 2021-07-21T08:37:06.000Z | from matchms import utils
class Curator:
"""
Curator makes sure that all data is curated before the actual annotation can proceed.
Currently, fixing CAS numbers to correct format is supported.
"""
def curate_spectra(self, spectra):
"""
Iterates over given spectrums and curates indi... | 29.907692 | 89 | 0.598251 | 1,915 | 0.985082 | 0 | 0 | 1,055 | 0.542695 | 0 | 0 | 877 | 0.451132 |
c04a2a3eb342ba391c15029d393dfe3507aca08e | 2,498 | py | Python | bin/install_megadrivers.py | antmicro/kvm-aosp-external-mesa3d | 9a3a0c1e30421cd1d66b138ef6a3269ceb6de39f | [
"MIT"
] | null | null | null | bin/install_megadrivers.py | antmicro/kvm-aosp-external-mesa3d | 9a3a0c1e30421cd1d66b138ef6a3269ceb6de39f | [
"MIT"
] | null | null | null | bin/install_megadrivers.py | antmicro/kvm-aosp-external-mesa3d | 9a3a0c1e30421cd1d66b138ef6a3269ceb6de39f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding=utf-8
# Copyright © 2017-2018 Intel Corporation
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
... | 33.756757 | 82 | 0.67534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,279 | 0.511805 |
c04af6a3b44f5f5884d745baba056412e928f38e | 478 | py | Python | python_files/helpers.py | nilamo/pytchie | 2e7a7501f23d393bdb66b64466f62d2ef741b778 | [
"MIT"
] | 10 | 2019-01-21T14:59:39.000Z | 2022-01-25T19:45:57.000Z | python_files/helpers.py | nilamo/pytchie | 2e7a7501f23d393bdb66b64466f62d2ef741b778 | [
"MIT"
] | 6 | 2019-09-26T08:09:41.000Z | 2019-10-22T14:54:19.000Z | python_files/helpers.py | nilamo/pytchie | 2e7a7501f23d393bdb66b64466f62d2ef741b778 | [
"MIT"
] | 3 | 2019-09-27T23:05:39.000Z | 2019-10-22T01:11:06.000Z | #!/usr/bin/env python
import os
import sys
def midi_to_freq(num):
""" Takes a MIDI number and returns a frequency in Hz for corresponding note. """
num_a = num - 69
freq = 440 * 2**(num_a / 12.0)
return freq
def fp(relative):
#if hasattr(sys, "_MEIPASS"):
# return os.path.join(sys._MEIPASS,... | 23.9 | 85 | 0.656904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.395397 |
c04af8ddce186b3fd697e8b4010edd2847a07c3a | 2,896 | py | Python | test/integrationMyndFskr.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 18 | 2015-03-12T17:42:44.000Z | 2021-12-27T10:32:22.000Z | test/integrationMyndFskr.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 13 | 2016-01-27T10:19:07.000Z | 2021-12-13T20:24:36.000Z | test/integrationMyndFskr.py | redhog/ferenda | 6935e26fdc63adc68b8e852292456b8d9155b1f7 | [
"BSD-2-Clause"
] | 6 | 2016-11-28T15:41:29.000Z | 2022-01-08T11:16:48.000Z | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import os
import sys
import shutil
import inspect
from ferenda import TextReader, util
from ferenda.testutil import RepoTester, file_parametrize
from ferenda.compa... | 39.135135 | 82 | 0.631906 | 2,445 | 0.844268 | 0 | 0 | 413 | 0.14261 | 0 | 0 | 824 | 0.28453 |
c04b151e636326dee485fc70fa9e09aa52af0717 | 2,319 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import... | 55.214286 | 118 | 0.850367 | 0 | 0 | 0 | 0 | 519 | 0.223803 | 0 | 0 | 702 | 0.302717 |
c04b8e57191159c1e20db662b36e4eb42827c687 | 2,652 | py | Python | benchbuild/projects/benchbuild/xz.py | sturmianseq/benchbuild | e3cc1a24e877261e90baf781aa67a9d6f6528dac | [
"MIT"
] | 11 | 2017-10-05T08:59:35.000Z | 2021-05-29T01:43:07.000Z | benchbuild/projects/benchbuild/xz.py | sturmianseq/benchbuild | e3cc1a24e877261e90baf781aa67a9d6f6528dac | [
"MIT"
] | 326 | 2016-07-12T08:11:43.000Z | 2022-03-28T07:10:11.000Z | benchbuild/projects/benchbuild/xz.py | sturmianseq/benchbuild | e3cc1a24e877261e90baf781aa67a9d6f6528dac | [
"MIT"
] | 13 | 2016-06-17T12:13:35.000Z | 2022-01-04T16:09:12.000Z | from plumbum import local
import benchbuild as bb
from benchbuild.environments.domain.declarative import ContainerImage
from benchbuild.source import HTTP
from benchbuild.utils.cmd import make, tar
class XZ(bb.Project):
""" XZ """
VERSION = '5.2.1'
NAME = 'xz'
DOMAIN = 'compression'
GROUP = 'benc... | 36.833333 | 77 | 0.536199 | 2,450 | 0.923831 | 0 | 0 | 0 | 0 | 0 | 0 | 1,060 | 0.399698 |
c04bfbdd189377e61884680d0c03817aca6a78ee | 1,101 | py | Python | train.py | sazzad/CarND-Behavioral-Cloning-P3 | 46599661bf194cf22683f49cae749eb403aaff01 | [
"MIT"
] | null | null | null | train.py | sazzad/CarND-Behavioral-Cloning-P3 | 46599661bf194cf22683f49cae749eb403aaff01 | [
"MIT"
] | null | null | null | train.py | sazzad/CarND-Behavioral-Cloning-P3 | 46599661bf194cf22683f49cae749eb403aaff01 | [
"MIT"
] | null | null | null | import numpy as np
import csv
import cv2
from keras.models import Sequential
from keras.layers import Dense, Flatten
def load_data():
lines = []
with open('Data/driving_log.csv') as csvfile:
reader = csv.reader(csvfile)
for line in reader:
lines.append(line)
images = []
mea... | 28.973684 | 80 | 0.647593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.060854 |
c04ce8c06bdc166d9b3b9ffe4880ea147a89ea15 | 3,226 | py | Python | models/FedXXX/resnet_utils.py | TD21forever/QoS-Predcition-Algorithm-library | f4503462887d719a39c9ccddd6cc55546e783fd5 | [
"MIT"
] | 2 | 2022-02-08T08:19:59.000Z | 2022-02-17T01:42:54.000Z | models/FedXXX/resnet_utils.py | TD21forever/QoS-Predcition-Algorithm-library | f4503462887d719a39c9ccddd6cc55546e783fd5 | [
"MIT"
] | null | null | null | models/FedXXX/resnet_utils.py | TD21forever/QoS-Predcition-Algorithm-library | f4503462887d719a39c9ccddd6cc55546e783fd5 | [
"MIT"
] | null | null | null | from abc import get_cache_token
from collections import OrderedDict
from torch import nn
class ResidualBlock(nn.Module):
def __init__(self, in_size, out_size):
super().__init__()
self.in_size, self.out_size = in_size, out_size
self.blocks = nn.Identity()
self.shortcut = nn.Identit... | 28.548673 | 91 | 0.614073 | 2,676 | 0.816351 | 0 | 0 | 182 | 0.055522 | 0 | 0 | 337 | 0.102807 |
c04d90069f191974d0ed369a9c73406bd54fa0cc | 2,114 | py | Python | xblock/test/test_json_conversion.py | edly-io/XBlock | 60d01a32e5bfe1b543f598cbc56ba3f4d736129d | [
"Apache-2.0"
] | null | null | null | xblock/test/test_json_conversion.py | edly-io/XBlock | 60d01a32e5bfe1b543f598cbc56ba3f4d736129d | [
"Apache-2.0"
] | null | null | null | xblock/test/test_json_conversion.py | edly-io/XBlock | 60d01a32e5bfe1b543f598cbc56ba3f4d736129d | [
"Apache-2.0"
] | null | null | null | """
Tests asserting that ModelTypes convert to and from json when working
with ModelDatas
"""
# Allow inspection of private class members
# pylint: disable=protected-access
from mock import Mock
from xblock.core import XBlock
from xblock.fields import Field, Scope, ScopeIds
from xblock.field_data import DictFieldData
... | 28.186667 | 120 | 0.64333 | 1,739 | 0.822611 | 0 | 0 | 0 | 0 | 0 | 0 | 712 | 0.336802 |
c04dc0e5e93dcddb8cf11931aefe2f5bf4588f05 | 10,592 | py | Python | uq_benchmark_2019/experiment_utils.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | uq_benchmark_2019/experiment_utils.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | uq_benchmark_2019/experiment_utils.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | 36.273973 | 80 | 0.715823 | 90 | 0.008497 | 0 | 0 | 0 | 0 | 0 | 0 | 4,921 | 0.464596 |
c04f13b9a712c28cf890f8bd241f887d6602c688 | 42,844 | py | Python | modisco/coordproducers.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | modisco/coordproducers.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | modisco/coordproducers.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | from __future__ import division, print_function, absolute_import
from .core import SeqletCoordinates
from modisco import util
import numpy as np
from collections import defaultdict, Counter, OrderedDict
import itertools
import sys
import time
from .value_provider import (
AbstractValTransformer, AbsPercentileValTra... | 42.294176 | 80 | 0.618336 | 31,771 | 0.741551 | 0 | 0 | 5,430 | 0.126739 | 0 | 0 | 5,769 | 0.134651 |
c04f8c1ca8657a2985f474bb739ac4de154e1a01 | 425 | py | Python | Google Jam/2016/lastword.py | djphan/Prog-Problems | db79d76f8a40e844c8cc61b3df2c0d52737ee9e4 | [
"MIT"
] | null | null | null | Google Jam/2016/lastword.py | djphan/Prog-Problems | db79d76f8a40e844c8cc61b3df2c0d52737ee9e4 | [
"MIT"
] | null | null | null | Google Jam/2016/lastword.py | djphan/Prog-Problems | db79d76f8a40e844c8cc61b3df2c0d52737ee9e4 | [
"MIT"
] | null | null | null | import sys
def lastWord ( inputString ):
results = []
outputString = inputString[0]
for i in range(1, len(inputString)):
intermediateString = sorted([outputString + inputString[i], inputString[i] + outputString ])
outputString = intermediateString[1]
return outputString
numTests = in... | 25 | 100 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.028235 |
c04ff3ada5e9e3495ef3e426dee60d1388e47451 | 62,817 | py | Python | aiotdlib/api/types/update.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 37 | 2021-05-04T10:41:41.000Z | 2022-03-30T13:48:05.000Z | aiotdlib/api/types/update.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 13 | 2021-07-17T19:54:51.000Z | 2022-02-26T06:50:00.000Z | aiotdlib/api/types/update.py | pylakey/pytdlib | a390a298a24a7123f3f3aec9f995dee6d51a478e | [
"MIT"
] | 7 | 2021-09-22T21:27:11.000Z | 2022-02-20T02:33:19.000Z | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# ... | 29.203626 | 318 | 0.692711 | 59,611 | 0.948963 | 0 | 0 | 10,520 | 0.167471 | 0 | 0 | 36,401 | 0.579477 |
c0507144735d0e0532afa021b9f51f1bb1e7c543 | 3,908 | py | Python | lib/tests/test_integration.py | OneIdentity/safeguard-sessions-plugin-cyberark-vault | 34f8c7a826b6b89c3c9a649b5395798263b4077f | [
"MIT"
] | null | null | null | lib/tests/test_integration.py | OneIdentity/safeguard-sessions-plugin-cyberark-vault | 34f8c7a826b6b89c3c9a649b5395798263b4077f | [
"MIT"
] | 3 | 2020-08-07T10:41:44.000Z | 2021-01-27T08:56:57.000Z | lib/tests/test_integration.py | OneIdentity/safeguard-sessions-plugin-cyberark-vault | 34f8c7a826b6b89c3c9a649b5395798263b4077f | [
"MIT"
] | null | null | null | #
# Copyright (c) 2019 One Identity
#
# 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, modify, merge, publish, di... | 36.185185 | 139 | 0.753327 | 0 | 0 | 0 | 0 | 794 | 0.203173 | 0 | 0 | 1,422 | 0.363869 |
c050754add3acb4ba8ba228383257d1e46d1352d | 2,997 | py | Python | forum_modules/akismet/startup.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2017-07-14T09:58:07.000Z | 2017-07-14T09:58:07.000Z | forum_modules/akismet/startup.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | forum_modules/akismet/startup.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | import json
from django.utils.translation import ugettext as _
from django.http import HttpResponse, HttpResponseRedirect
from django.template import RequestContext
from django.utils.encoding import smart_str
from django.shortcuts import render_to_response
from forum.modules import decorate
from forum import views
fro... | 38.423077 | 129 | 0.610944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 356 | 0.118785 |
c051e45b01f5963f9aee4c9d0f6e2146b9de7aad | 7,077 | py | Python | prototype/python/element_translator.py | doanminhdang/YAML_MATH | 4a95ae26ccd36de9a2c148f4ac1246f3cf0372f8 | [
"MIT"
] | 1 | 2019-06-29T16:54:59.000Z | 2019-06-29T16:54:59.000Z | prototype/python/element_translator.py | doanminhdang/YAML_MATH | 4a95ae26ccd36de9a2c148f4ac1246f3cf0372f8 | [
"MIT"
] | null | null | null | prototype/python/element_translator.py | doanminhdang/YAML_MATH | 4a95ae26ccd36de9a2c148f4ac1246f3cf0372f8 | [
"MIT"
] | null | null | null | """
Translate an element, which is described by the YAML method file
and a descriptor file, into a target function.
Procedure:
1. When analyzing a YAML file, parse the call to the method-element, to get:
- list of inputs,
- list of outputs
2. Parse the YAML of that element, to know the name of the inputs and outputs... | 39.758427 | 94 | 0.687014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,164 | 0.447082 |
c0549485e176a6b48bb54cda44e0d335364d8ccb | 16,351 | py | Python | build_feature_vectors_32.py | weberdc/find_hccs | 43fcb151901f48765ea8e4ccf0b82dbb726762a3 | [
"Apache-2.0"
] | 7 | 2020-10-23T20:41:30.000Z | 2021-11-20T14:00:25.000Z | build_feature_vectors_32.py | weberdc/find_hccs | 43fcb151901f48765ea8e4ccf0b82dbb726762a3 | [
"Apache-2.0"
] | 5 | 2020-11-25T00:29:43.000Z | 2021-11-01T02:15:29.000Z | build_feature_vectors_32.py | weberdc/find_hccs | 43fcb151901f48765ea8e4ccf0b82dbb726762a3 | [
"Apache-2.0"
] | 2 | 2021-05-31T06:51:08.000Z | 2022-02-09T13:55:18.000Z | #!/usr/bin/env python3
import csv
import gzip
import json
import networkx as nx
import sys
import time
import utils
from argparse import ArgumentParser
from calculate_activity_network import embedded_extended_tweet_url, root_of_conversation
from collections import defaultdict
from datetime import datetime
from utils ... | 43.836461 | 153 | 0.633906 | 1,176 | 0.071922 | 0 | 0 | 0 | 0 | 0 | 0 | 5,003 | 0.305975 |