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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d95e400e7414be6bd28582167c1534a6fade0266 | 15,236 | py | Python | GLM/GLM_Model/GLM_Model_GP.py | ys7yoo/npglm | 98cc040fff8a861e2d7e210fef049207f1714b2a | [
"MIT"
] | 9 | 2020-11-20T17:43:36.000Z | 2021-02-26T22:18:59.000Z | GLM/GLM_Model/GLM_Model_GP.py | ys7yoo/npglm | 98cc040fff8a861e2d7e210fef049207f1714b2a | [
"MIT"
] | 1 | 2021-02-04T13:51:17.000Z | 2021-02-04T23:56:07.000Z | GLM/GLM_Model/GLM_Model_GP.py | ys7yoo/npglm | 98cc040fff8a861e2d7e210fef049207f1714b2a | [
"MIT"
] | 1 | 2020-11-22T19:36:35.000Z | 2020-11-22T19:36:35.000Z | import numpy as np
import matplotlib.pyplot as plt
import torch
import scipy
from GLM.GLM_Model import GLM_Model, PyTorchObj
from scipy.optimize import minimize, Bounds
from tqdm import tqdm
| 46.169697 | 174 | 0.616894 |
d95eed5d862d9b62ea1af084b7b9d3c23fb6a1ce | 13,127 | py | Python | c-deps/krb5/src/tests/t_preauth.py | Yangjxxxxx/ZNBase | dcf993b73250dd5cb63041f4d9cf098941f67b2b | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-12-03T05:07:39.000Z | 2021-12-03T05:07:39.000Z | c-deps/krb5/src/tests/t_preauth.py | Yangjxxxxx/ZNBase | dcf993b73250dd5cb63041f4d9cf098941f67b2b | [
"MIT",
"BSD-3-Clause"
] | 9 | 2020-05-13T16:28:13.000Z | 2021-12-30T04:07:49.000Z | src/tests/t_preauth.py | frozencemetery/krb5 | bb8fa495d00ccd931eec87a01b8920636cf7903e | [
"MIT"
] | 4 | 2020-07-01T12:41:46.000Z | 2022-01-26T03:05:30.000Z | from k5test import *
# Test that the kdcpreauth client_keyblock() callback matches the key
# indicated by the etype info, and returns NULL if no key was selected.
testpreauth = os.path.join(buildtop, 'plugins', 'preauth', 'test', 'test.so')
conf = {'plugins': {'kdcpreauth': {'module': 'test:' + testpreauth},
... | 49.349624 | 79 | 0.665346 |
d96094c005965d2c5403a91fbbccf6c6f031c21a | 4,303 | py | Python | src/coreclr/scripts/antigen_unique_issues.py | KirillOsenkov/runtime | 11742903dcc40a55e8688a1c61291459215f8ed0 | [
"MIT"
] | 1 | 2021-06-18T04:59:29.000Z | 2021-06-18T04:59:29.000Z | src/coreclr/scripts/antigen_unique_issues.py | KirillOsenkov/runtime | 11742903dcc40a55e8688a1c61291459215f8ed0 | [
"MIT"
] | 1 | 2021-11-11T02:02:54.000Z | 2021-11-13T00:05:50.000Z | src/coreclr/scripts/antigen_unique_issues.py | KirillOsenkov/runtime | 11742903dcc40a55e8688a1c61291459215f8ed0 | [
"MIT"
] | 1 | 2021-12-03T00:19:45.000Z | 2021-12-03T00:19:45.000Z | #!/usr/bin/env python3
#
## Licensed to the .NET Foundation under one or more agreements.
## The .NET Foundation licenses this file to you under the MIT license.
#
##
# Title: antigen_unique_issues.py
#
# Notes:
#
# Script to identify unique issues from all partitions and print them on console.
#
######################... | 36.466102 | 166 | 0.563096 |
d9610b878d44c5a8266abce88c386c3e59afd553 | 1,448 | py | Python | src/secml/ml/peval/metrics/c_metric_test_error.py | zangobot/secml | 95a293e1201c24256eb7fe2f1d2125cd5f318c8c | [
"Apache-2.0"
] | 63 | 2020-04-20T16:31:16.000Z | 2022-03-29T01:05:35.000Z | src/secml/ml/peval/metrics/c_metric_test_error.py | zangobot/secml | 95a293e1201c24256eb7fe2f1d2125cd5f318c8c | [
"Apache-2.0"
] | 5 | 2020-04-21T11:31:39.000Z | 2022-03-24T13:42:56.000Z | src/secml/ml/peval/metrics/c_metric_test_error.py | zangobot/secml | 95a293e1201c24256eb7fe2f1d2125cd5f318c8c | [
"Apache-2.0"
] | 8 | 2020-04-21T09:16:42.000Z | 2022-02-23T16:28:43.000Z | """
.. module:: CMetricTestError
:synopsis: Performance Metric: Test Error
.. moduleauthor:: Marco Melis <marco.melis@unica.it>
"""
import sklearn.metrics as skm
from secml.array import CArray
from secml.ml.peval.metrics import CMetric
| 24.542373 | 82 | 0.600138 |
d96292f6031d95ffe48e989555808517308f5c23 | 35,592 | py | Python | titer_model/implementation-nextstrain-augur/base/process.py | blab/dengue | 5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf | [
"CC-BY-4.0",
"MIT"
] | 4 | 2019-03-31T22:03:48.000Z | 2020-06-16T21:04:24.000Z | titer_model/implementation-nextstrain-augur/base/process.py | emmahodcroft/dengue-antigenic-dynamics | 5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf | [
"CC-BY-4.0",
"MIT"
] | 4 | 2018-10-12T02:13:10.000Z | 2019-07-24T02:44:53.000Z | titer_model/implementation-nextstrain-augur/base/process.py | emmahodcroft/dengue-antigenic-dynamics | 5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf | [
"CC-BY-4.0",
"MIT"
] | 5 | 2018-09-10T23:14:09.000Z | 2020-12-27T20:57:34.000Z | from __future__ import division, print_function
import argparse
import sys, os, time, gzip, glob
from collections import defaultdict
from base.config import combine_configs
from base.io_util import make_dir, remove_dir, tree_to_json, write_json, myopen
from base.sequences_process import sequence_set
from base.utils imp... | 46.464752 | 158 | 0.595274 |
d9629e18c5a751f1f05e83298b1aeab4711e6438 | 1,777 | py | Python | nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py | jessica-tandazo/nodux_contabilidad | a9f853e167160b1d883b937d2edbf354fd14d144 | [
"MIT"
] | null | null | null | nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py | jessica-tandazo/nodux_contabilidad | a9f853e167160b1d883b937d2edbf354fd14d144 | [
"MIT"
] | null | null | null | nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py | jessica-tandazo/nodux_contabilidad | a9f853e167160b1d883b937d2edbf354fd14d144 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, nodux and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe import throw, _
| 36.265306 | 111 | 0.723692 |
d962f71ef696f9f1cf377a6a911132ae292fa62f | 799 | py | Python | main/email.py | BTulkas/Foster_Finder | b3de87ce3a253bec3296446f7138f8a16b32f9d7 | [
"MIT"
] | null | null | null | main/email.py | BTulkas/Foster_Finder | b3de87ce3a253bec3296446f7138f8a16b32f9d7 | [
"MIT"
] | 2 | 2021-09-12T08:31:22.000Z | 2021-09-12T09:08:47.000Z | main/email.py | BTulkas/Foster_Finder | b3de87ce3a253bec3296446f7138f8a16b32f9d7 | [
"MIT"
] | null | null | null | from flask import render_template
from flask_mail import Message
from main import mail, app
| 38.047619 | 69 | 0.640801 |
d966b6da1943e7fcc8c1aa8f39d2dde2c9b18bf1 | 779 | py | Python | objectModel/Python/cdm/persistence/cdmfolder/types/projections/operation_add_artifact_attribute.py | rt112000/CDM | 34bd34f9260140a8f8aa02bd87c23033f3daad4c | [
"CC-BY-4.0",
"MIT"
] | 884 | 2019-05-10T02:09:10.000Z | 2022-03-31T14:02:00.000Z | objectModel/Python/cdm/persistence/cdmfolder/types/projections/operation_add_artifact_attribute.py | rt112000/CDM | 34bd34f9260140a8f8aa02bd87c23033f3daad4c | [
"CC-BY-4.0",
"MIT"
] | 171 | 2019-06-10T11:34:37.000Z | 2022-03-31T22:50:12.000Z | objectModel/Python/cdm/persistence/cdmfolder/types/projections/operation_add_artifact_attribute.py | rt112000/CDM | 34bd34f9260140a8f8aa02bd87c23033f3daad4c | [
"CC-BY-4.0",
"MIT"
] | 340 | 2019-05-07T18:00:16.000Z | 2022-03-31T12:00:15.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
from typing import Union
from cdm.persistence.cdmfolder.types.projections.operation_base import OperationBase
from cdm.persistence.cdmfolder.types.type_attribute im... | 41 | 109 | 0.803594 |
d96823b574d707b8c5884043e9c5fc59a212d82c | 1,900 | py | Python | ebr_board/database/queries.py | eugene-davis/ebr-board | f592a752e17e869a6fd35ef82398f97748dbdc78 | [
"Apache-2.0"
] | null | null | null | ebr_board/database/queries.py | eugene-davis/ebr-board | f592a752e17e869a6fd35ef82398f97748dbdc78 | [
"Apache-2.0"
] | 4 | 2019-08-02T09:35:51.000Z | 2019-08-05T04:45:47.000Z | ebr_board/database/queries.py | LaudateCorpus1/ebr-board | f592a752e17e869a6fd35ef82398f97748dbdc78 | [
"Apache-2.0"
] | 1 | 2021-09-14T03:58:40.000Z | 2021-09-14T03:58:40.000Z | """
Query functions to run against ElasticSearch
"""
# pylint: disable=invalid-name
from ebr_connector.schema.build_results import BuildResults
detailed_build_info = {
"includes": [
"br_build_date_time",
"br_job_name",
"br_job_url_key",
"br_source",
"br_build_id_key",
... | 31.666667 | 113 | 0.647895 |
d96a378a19360aa836edef6494a1d0f976078638 | 4,714 | py | Python | src/scripts/vnet/uri/dummy_app.py | amithbraj/vpp | edf1da94dc099c6e2ab1d455ce8652fada3cdb04 | [
"Apache-2.0"
] | 751 | 2017-07-13T06:16:46.000Z | 2022-03-30T09:14:35.000Z | src/scripts/vnet/uri/dummy_app.py | amithbraj/vpp | edf1da94dc099c6e2ab1d455ce8652fada3cdb04 | [
"Apache-2.0"
] | 63 | 2018-06-11T09:48:35.000Z | 2021-01-05T09:11:03.000Z | src/scripts/vnet/uri/dummy_app.py | amithbraj/vpp | edf1da94dc099c6e2ab1d455ce8652fada3cdb04 | [
"Apache-2.0"
] | 479 | 2017-07-13T06:17:26.000Z | 2022-03-31T18:20:43.000Z | #!/usr/bin/env python3
import socket
import sys
import time
import argparse
# action can be reflect or drop
action = "drop"
test = 0
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-m', action='store', dest='mode')
parser.add_argument('-i', action='store', dest='ip')
... | 33.197183 | 83 | 0.591854 |
d96a84eccbdb4344152ec7775f2333ab5fdd6d60 | 2,806 | py | Python | getData.py | siddsax/WD-GAN | c5f7d68394ea60760db3eacb5f059ebebef6060d | [
"BSD-3-Clause"
] | null | null | null | getData.py | siddsax/WD-GAN | c5f7d68394ea60760db3eacb5f059ebebef6060d | [
"BSD-3-Clause"
] | null | null | null | getData.py | siddsax/WD-GAN | c5f7d68394ea60760db3eacb5f059ebebef6060d | [
"BSD-3-Clause"
] | null | null | null | import torch
from torch.utils import data
import numpy as np
import os
import cv2
import torchvision.transforms as transforms
from PIL import Image
import random
from PIL import ImageFile
| 35.075 | 104 | 0.63186 |
d96b52d758ea1e34f2a09afa20f1c461838affe8 | 6,290 | py | Python | bindings/python/test/time/test_time.py | verstaen/open-space-toolkit-physics | ca55011fd0de9aadacad84317fdce06985e5dbd8 | [
"Apache-2.0"
] | null | null | null | bindings/python/test/time/test_time.py | verstaen/open-space-toolkit-physics | ca55011fd0de9aadacad84317fdce06985e5dbd8 | [
"Apache-2.0"
] | null | null | null | bindings/python/test/time/test_time.py | verstaen/open-space-toolkit-physics | ca55011fd0de9aadacad84317fdce06985e5dbd8 | [
"Apache-2.0"
] | null | null | null | ################################################################################################################################################################
# @project Open Space Toolkit Physics
# @file bindings/python/test/time/test_time.py
# @author Lucas Brmond <lucas@loftorbital.com>
... | 35.337079 | 160 | 0.2531 |
d96bfa9969aa7535edbc947eef5fd3836a546bc4 | 61,602 | py | Python | email_client.py | HideyoshiNakazone/duo-db-client | d847f59c4b4243cf359e2fca411f0e7a6864493b | [
"MIT"
] | null | null | null | email_client.py | HideyoshiNakazone/duo-db-client | d847f59c4b4243cf359e2fca411f0e7a6864493b | [
"MIT"
] | null | null | null | email_client.py | HideyoshiNakazone/duo-db-client | d847f59c4b4243cf359e2fca411f0e7a6864493b | [
"MIT"
] | null | null | null | from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from datetime import datetime, timedelta
from email.mime.multipart import MIMEMultipart
from email.mime.image import MIMEImage
from email.mime.text import MIMEText
from email.header import Header
import psycopg2.extension... | 75.678133 | 493 | 0.65967 |
d96d94b8b61da641fde0216154cbe46da6d86b8e | 2,022 | py | Python | containers/api/api/models/user.py | yveso/supertoll | 0623c090ab97d5fb24dba6c18373c7cf8bc27e46 | [
"MIT"
] | null | null | null | containers/api/api/models/user.py | yveso/supertoll | 0623c090ab97d5fb24dba6c18373c7cf8bc27e46 | [
"MIT"
] | 8 | 2019-12-26T17:26:07.000Z | 2022-02-26T10:41:53.000Z | containers/api/api/models/user.py | yveso/supertoll | 0623c090ab97d5fb24dba6c18373c7cf8bc27e46 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
from flask import current_app
import jwt
from api import db, bcrypt
| 31.107692 | 79 | 0.573195 |
d96f3eb5e590bbf34c05fb157cdbcbd239587353 | 522 | py | Python | examples/team.py | DarinMao/python-ccs | 73cf6319320b1e13acdce9f7b79128e213e6750b | [
"MIT"
] | null | null | null | examples/team.py | DarinMao/python-ccs | 73cf6319320b1e13acdce9f7b79128e213e6750b | [
"MIT"
] | null | null | null | examples/team.py | DarinMao/python-ccs | 73cf6319320b1e13acdce9f7b79128e213e6750b | [
"MIT"
] | null | null | null | import ccs
team = ccs.team(raw_input("Team Number: "))
summary = team.summary
print "Team {} ({} {}) - {} images ({} points) - {}/{} {}".format(
summary.number, summary.division, summary.location,
summary.images, summary.score, summary.playtime, summary.scoretime,
summary.warn)
for image in team.ima... | 43.5 | 74 | 0.637931 |
d96ff25d9d5722c19fe4236bed106b32c2d92cde | 10,795 | py | Python | nova/virt/powervm/tasks/network.py | zjzh/nova | 7bb21723171c59b93e28f5d508c2b6df39220f13 | [
"Apache-2.0"
] | 1,874 | 2015-01-04T05:18:34.000Z | 2022-03-31T03:30:28.000Z | nova/virt/powervm/tasks/network.py | woraser/nova | fc3890667e4971e3f0f35ac921c2a6c25f72adec | [
"Apache-2.0"
] | 132 | 2017-03-27T11:31:52.000Z | 2022-03-30T08:45:02.000Z | nova/virt/powervm/tasks/network.py | woraser/nova | fc3890667e4971e3f0f35ac921c2a6c25f72adec | [
"Apache-2.0"
] | 1,996 | 2015-01-04T15:11:51.000Z | 2022-03-31T11:03:13.000Z | # Copyright 2015, 2017 IBM Corp.
#
# 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 require... | 41.519231 | 79 | 0.631774 |
d97012330ebae7c93600f55d0f782d19e5a41dae | 5,752 | py | Python | anti_sybil/graphs/generators/group_based.py | abramsymons/BrightID-AntiSybil | 86161afe654f46475944ebdb3b5453a1723180d9 | [
"ISC"
] | null | null | null | anti_sybil/graphs/generators/group_based.py | abramsymons/BrightID-AntiSybil | 86161afe654f46475944ebdb3b5453a1723180d9 | [
"ISC"
] | null | null | null | anti_sybil/graphs/generators/group_based.py | abramsymons/BrightID-AntiSybil | 86161afe654f46475944ebdb3b5453a1723180d9 | [
"ISC"
] | 1 | 2020-03-28T05:05:19.000Z | 2020-03-28T05:05:19.000Z | import random
import networkx as nx
from ..node import Node
| 42.607407 | 103 | 0.570932 |
d9724df91f0d1e509249a814becdf43525ed1c7c | 182 | py | Python | Contest/ABC051/c/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/ABC051/c/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/ABC051/c/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
sx, sy, tx, ty = map(int, input().split())
x, y = tx - sx, ty - sy
print("R"*x + "U"*-~y + "L"*-~x + "D"*-~y + "R" + "U"*y + "R"*-~x + "D"*-~y + "L"*-~x + "U") | 45.5 | 92 | 0.401099 |
d97307bce111d22165208da1309beb39d698985c | 92 | py | Python | problems/chapter12/mshibatatt/001.py | tokuma09/algorithm_problems | 58534620df73b230afbeb12de126174362625a78 | [
"CC0-1.0"
] | 1 | 2021-07-07T15:46:58.000Z | 2021-07-07T15:46:58.000Z | problems/chapter12/mshibatatt/001.py | tokuma09/algorithm_problems | 58534620df73b230afbeb12de126174362625a78 | [
"CC0-1.0"
] | 5 | 2021-06-05T14:16:41.000Z | 2021-07-10T07:08:28.000Z | problems/chapter12/mshibatatt/001.py | tokuma09/algorithm_problems | 58534620df73b230afbeb12de126174362625a78 | [
"CC0-1.0"
] | null | null | null | a = list(map(int, input().split()))
[i[0] for i in sorted(enumerate(a), key=lambda x:x[1])] | 30.666667 | 55 | 0.619565 |
d9733cb8ddf1ffbcfc514f4195c8b460a2b0fff8 | 560 | py | Python | typer-cli-python/source_code_step_2/rptodo/cli.py | syberflea/materials | 54f44725b40edf00c1b523d7a85b34a85014d7eb | [
"MIT"
] | 3,682 | 2018-05-07T19:45:24.000Z | 2022-03-31T15:19:10.000Z | typer-cli-python/source_code_step_2/rptodo/cli.py | sribarrow/materials | c17c4a4d6f8487e59eac1df8c88ca92b73d6d2a5 | [
"MIT"
] | 148 | 2018-05-15T21:18:49.000Z | 2022-03-21T11:25:39.000Z | typer-cli-python/source_code_step_2/rptodo/cli.py | sribarrow/materials | c17c4a4d6f8487e59eac1df8c88ca92b73d6d2a5 | [
"MIT"
] | 5,535 | 2018-05-25T23:36:08.000Z | 2022-03-31T16:55:52.000Z | """This module provides the RP To-Do CLI."""
from typing import Optional
import typer
from rptodo import __app_name__, __version__
app = typer.Typer()
| 18.666667 | 56 | 0.623214 |
d97515b3fc95c50563dceea347d6cfbeb7c8f9bf | 4,629 | py | Python | surrortg/devices/relay.py | bn102/surrortg-sdk | 5f51515d0fd83741b3359b9a682c0a9afc38886f | [
"MIT"
] | 21 | 2020-11-03T23:41:56.000Z | 2022-03-21T04:11:46.000Z | surrortg/devices/relay.py | bn102/surrortg-sdk | 5f51515d0fd83741b3359b9a682c0a9afc38886f | [
"MIT"
] | 5 | 2021-02-11T14:36:03.000Z | 2021-07-20T11:45:07.000Z | surrortg/devices/relay.py | bn102/surrortg-sdk | 5f51515d0fd83741b3359b9a682c0a9afc38886f | [
"MIT"
] | 11 | 2020-11-13T11:14:33.000Z | 2022-03-21T04:11:51.000Z | import asyncio
import logging
import pigpio
if __name__ == "__main__":
asyncio.run(main())
| 28.054545 | 78 | 0.597969 |
d976858493e0b3bdb11753531577c643cf5f3d49 | 8,322 | py | Python | voice.py | ImPurpl3/egg | 875f8105140544897e7b81af660e3da864b4cd54 | [
"MIT"
] | null | null | null | voice.py | ImPurpl3/egg | 875f8105140544897e7b81af660e3da864b4cd54 | [
"MIT"
] | null | null | null | voice.py | ImPurpl3/egg | 875f8105140544897e7b81af660e3da864b4cd54 | [
"MIT"
] | 1 | 2021-12-17T01:23:31.000Z | 2021-12-17T01:23:31.000Z | """
MIT License
Copyright (c) 2020 ValkyriaKing711
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... | 32.76378 | 95 | 0.577866 |
d97890969781912a2513be62820c2cd00f1b4a65 | 131 | py | Python | drf_gitlab_webhook/urls.py | Develatio/drf-gitlab-webhook | 34a90a979da1b004886620a89e916b88a61e0c85 | [
"MIT"
] | 1 | 2019-01-19T22:06:31.000Z | 2019-01-19T22:06:31.000Z | drf_gitlab_webhook/urls.py | Develatio/drf-gitlab-webhook | 34a90a979da1b004886620a89e916b88a61e0c85 | [
"MIT"
] | null | null | null | drf_gitlab_webhook/urls.py | Develatio/drf-gitlab-webhook | 34a90a979da1b004886620a89e916b88a61e0c85 | [
"MIT"
] | 1 | 2019-05-09T16:56:04.000Z | 2019-05-09T16:56:04.000Z | from django.conf.urls import url
from . import classviews
urlpatterns = [
url(r'^event/$', classviews.HookEvent.as_view()),
]
| 18.714286 | 53 | 0.709924 |
d9789ea5dc5332d1b7a15a1afc6b61a382b8814b | 2,392 | py | Python | tap_parquet/streams.py | berenddeboer/tap-parquet | d9c50ea92a68b7777e31ca622468e1dadd86d9ce | [
"Apache-2.0"
] | null | null | null | tap_parquet/streams.py | berenddeboer/tap-parquet | d9c50ea92a68b7777e31ca622468e1dadd86d9ce | [
"Apache-2.0"
] | 4 | 2021-04-02T16:32:14.000Z | 2021-11-09T22:54:03.000Z | tap_parquet/streams.py | berenddeboer/tap-parquet | d9c50ea92a68b7777e31ca622468e1dadd86d9ce | [
"Apache-2.0"
] | 2 | 2021-11-09T06:44:46.000Z | 2021-12-01T12:28:29.000Z | """Stream class for tap-parquet."""
import requests
from copy import deepcopy
from pathlib import Path
from typing import Any, Dict, Optional, Union, List, Iterable
from singer_sdk.streams import Stream
from singer_sdk.typing import (
ArrayType,
BooleanType,
DateTimeType,
IntegerType,
NumberType,... | 31.473684 | 86 | 0.637542 |
d978a101e4eebb559e09fff2906b2a39d73becb8 | 3,851 | py | Python | ppt/app.py | fabioacarvalho/Projetos-Praticando | fa0b324c03a0b4bc5d0ed9d55bbc3ce48d67541b | [
"MIT"
] | null | null | null | ppt/app.py | fabioacarvalho/Projetos-Praticando | fa0b324c03a0b4bc5d0ed9d55bbc3ce48d67541b | [
"MIT"
] | null | null | null | ppt/app.py | fabioacarvalho/Projetos-Praticando | fa0b324c03a0b4bc5d0ed9d55bbc3ce48d67541b | [
"MIT"
] | null | null | null | import sys
import random
from design import *
from PyQt5.QtWidgets import QMainWindow, QApplication
from PyQt5 import QtGui
ppt = ['Rock', 'Paper', 'Scissors']
game = []
if __name__ == '__main__':
qt = QApplication(sys.argv)
app = App()
app.show()
qt.exec_()
| 36.67619 | 101 | 0.615684 |
d97defe4ab7d19c2df85621955ea08007777df4a | 354 | py | Python | test/test_format.py | gongso1st/geopy | 9252f4b12197ff3c5e3fae50d9bae74974d5d20f | [
"MIT"
] | 1 | 2019-07-17T14:38:52.000Z | 2019-07-17T14:38:52.000Z | test/test_format.py | gongso1st/geopy | 9252f4b12197ff3c5e3fae50d9bae74974d5d20f | [
"MIT"
] | null | null | null | test/test_format.py | gongso1st/geopy | 9252f4b12197ff3c5e3fae50d9bae74974d5d20f | [
"MIT"
] | 1 | 2020-06-03T01:42:17.000Z | 2020-06-03T01:42:17.000Z |
import unittest
from geopy.point import Point
from geopy.format import format_degrees
| 19.666667 | 64 | 0.584746 |
d97e9bfb4e01d1a5a972e104691a2c436b4de3ca | 653 | py | Python | Sorts.py | marinajacks/nowcoder | 5fafb9b12f56f111737e56358016206023c8067c | [
"MIT"
] | null | null | null | Sorts.py | marinajacks/nowcoder | 5fafb9b12f56f111737e56358016206023c8067c | [
"MIT"
] | null | null | null | Sorts.py | marinajacks/nowcoder | 5fafb9b12f56f111737e56358016206023c8067c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 20 20:52:56 2019
@author:
python
"""
import random
'''
O(N^2),O(N^2).
'''
if __name__=="__main__":
a=[]
for i in range(10):
a.append(random.randint(10,40))
print(a)
print(bubble(a))
print('hello world!') | 15.926829 | 44 | 0.580398 |
d97f0714641d6f4865c82aa054acf514505a58ff | 722 | py | Python | scripts/token.py | blockchain-jedi/erc20-contract-template | 4364d131e5046d0534f6b92304e6f91b5e8adb23 | [
"MIT"
] | null | null | null | scripts/token.py | blockchain-jedi/erc20-contract-template | 4364d131e5046d0534f6b92304e6f91b5e8adb23 | [
"MIT"
] | null | null | null | scripts/token.py | blockchain-jedi/erc20-contract-template | 4364d131e5046d0534f6b92304e6f91b5e8adb23 | [
"MIT"
] | null | null | null | #
# Usage:
#
# % brownie console
# >>> from scripts import token
# >>> green = token.main()
# >>> token.issue(green)
# >>> token.transfer(green, accounts[1], accounts[2], 1)
#
from brownie import Token, accounts
admin = accounts[0]
issuer = accounts[1]
holders = accounts[2:9]
max_supply... | 24.066667 | 89 | 0.624654 |
d980d8c3ac914ab7b6744057703f0c8a2e3c1e3d | 2,711 | py | Python | nederlands.py | rec/neederlands | f5b71a768c9a51a06014a386ffafc8844943e4b2 | [
"Unlicense"
] | 1 | 2020-02-05T17:48:22.000Z | 2020-02-05T17:48:22.000Z | nederlands.py | rec/nederlands | f5b71a768c9a51a06014a386ffafc8844943e4b2 | [
"Unlicense"
] | null | null | null | nederlands.py | rec/nederlands | f5b71a768c9a51a06014a386ffafc8844943e4b2 | [
"Unlicense"
] | null | null | null | import string
WIKI_BESTAND = '/Users/tom/Downloads/\
nlwiktionary-20191020-pages-articles-multistream-index.txt'
WOORD_BESTAND = 'woord-frequenties.txt'
SLECHT_BESTAND = 'slechte-woorden.txt'
BLACKLIST = {i.strip() for i in open(SLECHT_BESTAND)}
AANTAL = 1000000000000000
MIN = 4
MIN_ACHTERVOEGSEL = 4
VOORVOEGSELS = ... | 20.231343 | 75 | 0.54408 |
d98213a54bed6fe63049234194f24aa16f814a04 | 384 | py | Python | ds_utils/config.py | dylanjcastillo/nlp-snippets | 1cb2a9d4ad5de72714a617ca223f5f822ca72aea | [
"MIT"
] | 9 | 2021-01-29T04:48:30.000Z | 2022-03-22T20:51:19.000Z | ds_utils/config.py | dylanjcastillo/nlp-snippets | 1cb2a9d4ad5de72714a617ca223f5f822ca72aea | [
"MIT"
] | null | null | null | ds_utils/config.py | dylanjcastillo/nlp-snippets | 1cb2a9d4ad5de72714a617ca223f5f822ca72aea | [
"MIT"
] | 1 | 2021-07-10T18:17:01.000Z | 2021-07-10T18:17:01.000Z | import os
import random
import numpy as np
import pandas as pd
| 20.210526 | 54 | 0.700521 |
d9829ca97d266ae282da297f5160c6bc599cfd00 | 158 | py | Python | whileloop.py | muhrizky/DSC-DataCamp | 3b8f8a7fd29f236a78e2330248d470403757d6b8 | [
"MIT"
] | null | null | null | whileloop.py | muhrizky/DSC-DataCamp | 3b8f8a7fd29f236a78e2330248d470403757d6b8 | [
"MIT"
] | null | null | null | whileloop.py | muhrizky/DSC-DataCamp | 3b8f8a7fd29f236a78e2330248d470403757d6b8 | [
"MIT"
] | null | null | null | offset = -8
while offset != 0 :
print('Benar')
if offset > 0 :
offset = offset -3
else:
offset = offset +2
print(offset) | 15.8 | 26 | 0.5 |
d984472a164601e55d0346ed01540ed2b20dc88d | 832 | py | Python | config/tortoise.py | nythonore/fastapi-async | 82f34dd421e573f96af1953cc1f72be565743df8 | [
"MIT"
] | null | null | null | config/tortoise.py | nythonore/fastapi-async | 82f34dd421e573f96af1953cc1f72be565743df8 | [
"MIT"
] | null | null | null | config/tortoise.py | nythonore/fastapi-async | 82f34dd421e573f96af1953cc1f72be565743df8 | [
"MIT"
] | null | null | null | from tortoise.contrib.fastapi import register_tortoise as config_tortoise
from config.settings import settings
DB_URL = f'postgres://{settings.DB_USERNAME}:{settings.DB_PASSWORD}@{settings.DB_HOST}:{settings.DB_PORT}/{settings.DB_DATABASE}'
TORTOISE_MODULES = ['app.example.model']
TORTOISE_ORM_MODULES = TORTOISE_MOD... | 24.470588 | 129 | 0.638221 |
d9863370e480b53bf264ca69904724291538c799 | 105 | py | Python | application/configuration/views.py | pernaess/ctrlpnl | e0636f3b19d4a5ec5e96120526f238888271391d | [
"MIT"
] | 34 | 2020-01-27T15:07:25.000Z | 2021-09-25T17:07:37.000Z | application/configuration/views.py | pernaess/ctrlpnl | e0636f3b19d4a5ec5e96120526f238888271391d | [
"MIT"
] | 26 | 2020-01-29T12:24:42.000Z | 2022-03-12T00:16:44.000Z | application/configuration/views.py | pernaess/ctrlpnl | e0636f3b19d4a5ec5e96120526f238888271391d | [
"MIT"
] | 7 | 2020-01-27T11:42:11.000Z | 2021-04-05T04:42:22.000Z | from django.shortcuts import redirect | 26.25 | 37 | 0.790476 |
d986985c57ee93c51e109add53b8920f894727ed | 982 | py | Python | setup.py | orange-kao/rpm-s3-mirror | 4a08cdb47de33045c5e5bc8be1c5ee17bc169d56 | [
"Apache-2.0"
] | null | null | null | setup.py | orange-kao/rpm-s3-mirror | 4a08cdb47de33045c5e5bc8be1c5ee17bc169d56 | [
"Apache-2.0"
] | 4 | 2020-05-08T03:36:15.000Z | 2022-03-31T10:51:18.000Z | setup.py | aiven/rpm-s3-mirror | 55f049a92258eed3cc863135a964c10c25a3c25a | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Aiven, Helsinki, Finland. https://aiven.io/
from setuptools import setup
import version
version = version.get_project_version("rpm_s3_mirror/version.py")
setup(
name="rpm_s3_mirror",
packages=["rpm_s3_mirror"],
version=version,
description="Tool for syncing RPM repositories with ... | 26.540541 | 65 | 0.619145 |
d9869f57875e2690d3cd90cc8428e4dc9378e706 | 2,074 | py | Python | tests/step_defs/test_search_steps.py | aura80/TAU_BDD_Reserved_Selenium_Python_New | cccaa437f1c8f4aa4f47f41ca2d5c0b1d3166035 | [
"MIT"
] | null | null | null | tests/step_defs/test_search_steps.py | aura80/TAU_BDD_Reserved_Selenium_Python_New | cccaa437f1c8f4aa4f47f41ca2d5c0b1d3166035 | [
"MIT"
] | null | null | null | tests/step_defs/test_search_steps.py | aura80/TAU_BDD_Reserved_Selenium_Python_New | cccaa437f1c8f4aa4f47f41ca2d5c0b1d3166035 | [
"MIT"
] | null | null | null | import time
from pytest_bdd import scenarios, when, then, given, parsers
from pages.search import SearchTests
from pages.register_page import RegisterPage
# Scenarios
scenarios('../features/test_register_search_scenario.feature')
# steps
| 28.410959 | 98 | 0.750241 |
d987308ee279d5897c812d0ddad5761b6c09fe3e | 8,668 | py | Python | pendium/filesystem.py | LuRsT/Pendium | f71b3db987853df919c14f0be4238df00852a9a7 | [
"Apache-2.0"
] | 5 | 2015-05-07T21:26:06.000Z | 2016-07-27T11:41:49.000Z | pendium/filesystem.py | LuRsT/Pendium | f71b3db987853df919c14f0be4238df00852a9a7 | [
"Apache-2.0"
] | 9 | 2017-12-21T20:22:16.000Z | 2019-07-24T13:04:35.000Z | pendium/filesystem.py | LuRsT/Pendium | f71b3db987853df919c14f0be4238df00852a9a7 | [
"Apache-2.0"
] | null | null | null | import codecs
from logging import getLogger
import os
from pendium import app
from pendium.plugins import IRenderPlugin
from pendium.plugins import ISearchPlugin
from yapsy.PluginManager import PluginManager
log = getLogger(__name__)
# Populate plugins
lib_path = os.path.abspath(os.path.dirname(__file__))
manager =... | 27.782051 | 82 | 0.578565 |
d988d23ea27ce8a2b5e3d30a08db96c282196fd0 | 3,957 | py | Python | sabcom/helpers.py | blackrhinoabm/sabcom | ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8 | [
"MIT"
] | 6 | 2020-05-21T11:42:27.000Z | 2020-10-20T03:00:22.000Z | sabcom/helpers.py | blackrhinoabm/sabcom | ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8 | [
"MIT"
] | 2 | 2020-04-08T17:45:37.000Z | 2020-09-22T16:13:27.000Z | sabcom/helpers.py | blackrhinoabm/sabcom | ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8 | [
"MIT"
] | 4 | 2020-04-10T14:18:34.000Z | 2020-10-31T16:18:30.000Z | import random
import numpy as np
import pandas as pd
import math
from sklearn import preprocessing
import scipy.stats as stats
def generate_district_data(number_of_agents, path, max_districts=None):
"""
Transforms input data on informal residential, initial infections, and population and transforms it t... | 39.57 | 120 | 0.645438 |
d989087921d1b51a7238e387777319d8107f335c | 767 | py | Python | tests/io_test.py | wgfi110/speech | 59a3e2d8d2d99d31cf32e06c1a0751eb36a3c02b | [
"Apache-2.0"
] | 642 | 2017-09-27T01:11:16.000Z | 2022-03-29T11:02:08.000Z | tests/io_test.py | wgfi110/speech | 59a3e2d8d2d99d31cf32e06c1a0751eb36a3c02b | [
"Apache-2.0"
] | 54 | 2017-10-06T18:21:42.000Z | 2021-01-15T07:10:21.000Z | tests/io_test.py | wgfi110/speech | 59a3e2d8d2d99d31cf32e06c1a0751eb36a3c02b | [
"Apache-2.0"
] | 176 | 2017-09-27T16:10:08.000Z | 2022-03-15T03:43:07.000Z | import tempfile
import speech.models
import speech.loader
import shared
| 23.96875 | 51 | 0.680574 |
d989c05c96298ca370a7889007b9e02fb326abb5 | 928 | py | Python | image_analyse/Image CDF and PDF.py | TheRockerfly/data_mining_portfolio | a84f1a1a9dc9fec668b81e012e9d130d91227598 | [
"MIT"
] | null | null | null | image_analyse/Image CDF and PDF.py | TheRockerfly/data_mining_portfolio | a84f1a1a9dc9fec668b81e012e9d130d91227598 | [
"MIT"
] | null | null | null | image_analyse/Image CDF and PDF.py | TheRockerfly/data_mining_portfolio | a84f1a1a9dc9fec668b81e012e9d130d91227598 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt # TODO: port away from matplotlib to a seaborn
# Probability Distribution Function (PDF).
# Cumulative Distribution Function (CDF)
# TODO: put all of these functions within a custom function
image = plt.imread('900px-Astronaut-EVA.jpg')
plt.subplot(2, 1, 1)
plt.imshow(image, cmap='gra... | 29.935484 | 79 | 0.693966 |
d98a64a68a68150c17a5ba9fa0b9485585e96dc4 | 35 | py | Python | yolo/model_zoo/__init__.py | ioangatop/yolo | c65a72337369572bc07090f39123e2bf6ff5f4a3 | [
"MIT"
] | 1 | 2021-06-28T01:22:38.000Z | 2021-06-28T01:22:38.000Z | yolo/model_zoo/__init__.py | ioangatop/yolo | c65a72337369572bc07090f39123e2bf6ff5f4a3 | [
"MIT"
] | null | null | null | yolo/model_zoo/__init__.py | ioangatop/yolo | c65a72337369572bc07090f39123e2bf6ff5f4a3 | [
"MIT"
] | null | null | null | from .model_zoo import load_weights | 35 | 35 | 0.885714 |
d98b62aa0fdb706a6f4cb4c830afcb3e8f4fca20 | 282 | py | Python | test_logger/demo.py | payalkutana/logging_logger | 7dc7ccaee63e922b7c7f699a5d0b4e1317a27502 | [
"MIT"
] | null | null | null | test_logger/demo.py | payalkutana/logging_logger | 7dc7ccaee63e922b7c7f699a5d0b4e1317a27502 | [
"MIT"
] | null | null | null | test_logger/demo.py | payalkutana/logging_logger | 7dc7ccaee63e922b7c7f699a5d0b4e1317a27502 | [
"MIT"
] | null | null | null | from logging_logger import loggerClass
import logging
loggerClass.WritetoScreen(loggerClass,logging.INFO,"testing...",
'%(levelname)s:%(message)s')
loggerClass.Writetofile(loggerClass,'sample.log',logging.WARNING,"testing...",
'%(levelname)s:%(message)s')
| 31.333333 | 78 | 0.70922 |
d98be932a3e4d84d93b13cf5f54ee3801d2adc54 | 111 | py | Python | LearnPython3TheHardWay/ex8.py | lanjing99/UsePython | 19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4 | [
"MIT"
] | null | null | null | LearnPython3TheHardWay/ex8.py | lanjing99/UsePython | 19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4 | [
"MIT"
] | null | null | null | LearnPython3TheHardWay/ex8.py | lanjing99/UsePython | 19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4 | [
"MIT"
] | null | null | null | formatter = "{} {} {} {}"
print(formatter.format(1, 2, 3, 4))
print(formatter.format("a", "b", "c", "d", "r"))
| 27.75 | 48 | 0.522523 |
d98cbe93e213130d35e4010a52b1592965b94b18 | 14,115 | py | Python | src/matching/games/hospital_resident.py | drvinceknight/matching | da18fc12c880a1292a04d06824b5c17e68349e83 | [
"MIT"
] | null | null | null | src/matching/games/hospital_resident.py | drvinceknight/matching | da18fc12c880a1292a04d06824b5c17e68349e83 | [
"MIT"
] | null | null | null | src/matching/games/hospital_resident.py | drvinceknight/matching | da18fc12c880a1292a04d06824b5c17e68349e83 | [
"MIT"
] | null | null | null | """ The HR solver and algorithm. """
from matching import Game, Matching
from matching import Player as Resident
from matching.players import Hospital
from .util import delete_pair, match_pair
def _check_mutual_preference(resident, hospital):
""" Determine whether two players each have a preference of the othe... | 34.426829 | 80 | 0.616932 |
d98e4516cf482bd1a8b30548c1119b56db7376b4 | 2,931 | py | Python | solutions/rank-1/prepare_data.py | mattmotoki/ashrae-great-energy-predictor-3-solution-analysis | 8a5260049d4537c57c37a78e77f2fba13c55177d | [
"MIT"
] | 48 | 2020-03-18T11:34:49.000Z | 2022-03-31T18:30:00.000Z | solutions/rank-1/prepare_data.py | mattmotoki/ashrae-great-energy-predictor-3-solution-analysis | 8a5260049d4537c57c37a78e77f2fba13c55177d | [
"MIT"
] | 40 | 2020-03-24T18:17:51.000Z | 2022-03-12T00:30:30.000Z | solutions/rank-1/prepare_data.py | mattmotoki/ashrae-great-energy-predictor-3-solution-analysis | 8a5260049d4537c57c37a78e77f2fba13c55177d | [
"MIT"
] | 24 | 2020-04-18T02:52:47.000Z | 2022-01-22T19:13:16.000Z | #!/usr/bin/env python
# coding: utf-8
# based on public kernel https://www.kaggle.com/corochann/ashrae-feather-format-for-fast-loading
import os
import random
import gc
import tqdm
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
if __name__ == '__main__':
root... | 40.708333 | 145 | 0.716479 |
d98fb88b15b7a7bd1330a40dd1ecdb89f69e5b99 | 23,531 | py | Python | models/triangular_lattice.py | macthecadillac/Interacting-Fermions | 6122d2a7e67533b28e581929995ce8e2a2ad41fc | [
"BSD-3-Clause"
] | 1 | 2020-07-29T06:06:12.000Z | 2020-07-29T06:06:12.000Z | models/triangular_lattice.py | macthecadillac/Interacting-Fermions | 6122d2a7e67533b28e581929995ce8e2a2ad41fc | [
"BSD-3-Clause"
] | null | null | null | models/triangular_lattice.py | macthecadillac/Interacting-Fermions | 6122d2a7e67533b28e581929995ce8e2a2ad41fc | [
"BSD-3-Clause"
] | null | null | null | import copy
import functools
import os
import numpy as np
from scipy import sparse
from spinsys import constructors, half, dmrg, exceptions
from cffi import FFI
@functools.lru_cache(maxsize=None)
def _gen_z_pm_ops(N, bonds):
"""generate the H_z and H_pm components of the Hamiltonian"""
H_pm = H_z = 0
... | 32.411846 | 88 | 0.537164 |
d990ddde01350e477f961c78fce1ed2af6c8f78a | 16,528 | py | Python | stgelpDL/dev/edfiles.py | dmitryv56/stgelpDL | a3dbe9f1a4ff19586dfdfac01748634b47389a6e | [
"MIT"
] | null | null | null | stgelpDL/dev/edfiles.py | dmitryv56/stgelpDL | a3dbe9f1a4ff19586dfdfac01748634b47389a6e | [
"MIT"
] | null | null | null | stgelpDL/dev/edfiles.py | dmitryv56/stgelpDL | a3dbe9f1a4ff19586dfdfac01748634b47389a6e | [
"MIT"
] | null | null | null | import pandas as pd
import copy
from pathlib import Path
import pandas as pd
import numpy as np
import math
from datetime import datetime,timedelta
import matplotlib.pyplot as plt
from predictor.utility import msg2log
""" transform time series (feature in source dataset) matrix Nrows * Mcols.
The source dataset m... | 35.697624 | 130 | 0.647749 |
d9913fd01e1b721da362c3a1ba14143f873c7a20 | 5,450 | py | Python | knoema/source_data/get_indic_id.py | zmmyc/ksh | 5869908714ea87a297a8fc19ecafd7d3cf15e889 | [
"MIT"
] | 1 | 2022-03-30T06:50:42.000Z | 2022-03-30T06:50:42.000Z | knoema/source_data/get_indic_id.py | zmmyc/ksh | 5869908714ea87a297a8fc19ecafd7d3cf15e889 | [
"MIT"
] | null | null | null | knoema/source_data/get_indic_id.py | zmmyc/ksh | 5869908714ea87a297a8fc19ecafd7d3cf15e889 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import requests, json
from bs4 import BeautifulSoup
from mspider.spider import MSpider
if __name__=="__main__":
spider = Get_indic_idSpider()
# spider.test()
spider.crawl()
spider.file.close() | 147.297297 | 4,232 | 0.728807 |
d99172d582203a6c9d89885e87dc7fdf395331ed | 2,556 | py | Python | Programming Assignment 3/min Cut.py | TheRevanchist/Design-and-Analysis-of-Algorithms-Part-1 | e41e3a1117258fb6f635c3c734675215dbce5263 | [
"MIT"
] | 1 | 2020-08-02T12:01:56.000Z | 2020-08-02T12:01:56.000Z | Programming Assignment 3/min Cut.py | TheRevanchist/Design-and-Analysis-of-Algorithms-Part-1 | e41e3a1117258fb6f635c3c734675215dbce5263 | [
"MIT"
] | null | null | null | Programming Assignment 3/min Cut.py | TheRevanchist/Design-and-Analysis-of-Algorithms-Part-1 | e41e3a1117258fb6f635c3c734675215dbce5263 | [
"MIT"
] | null | null | null | from random import choice
from copy import deepcopy
# read the file
lista = "D:/Workbench/Online Courses/Design and Analysis of Algorithms, Part 1/Programming Assignment 3/file.txt"
f = open(lista, 'r')
line_list = f.readlines()
G = {int(line.split()[0]): [int(val) for val in line.split()[1:] if val] f... | 40.571429 | 115 | 0.618153 |
d99179f5f0c295d6288591b72b99cc96a11e545c | 5,223 | py | Python | python/tvm/tensor_graph/core2/nn/functional/convolution.py | QinHan-Erin/AMOS | 634bf48edf4015e4a69a8c32d49b96bce2b5f16f | [
"Apache-2.0"
] | 22 | 2022-03-18T07:29:31.000Z | 2022-03-23T14:54:32.000Z | python/tvm/tensor_graph/core2/nn/functional/convolution.py | QinHan-Erin/AMOS | 634bf48edf4015e4a69a8c32d49b96bce2b5f16f | [
"Apache-2.0"
] | null | null | null | python/tvm/tensor_graph/core2/nn/functional/convolution.py | QinHan-Erin/AMOS | 634bf48edf4015e4a69a8c32d49b96bce2b5f16f | [
"Apache-2.0"
] | 2 | 2022-03-18T08:26:34.000Z | 2022-03-20T06:02:48.000Z | import tvm
from tvm.tensor_graph.core2.graph.concrete import Compute, Tensor
from .padding import zero_pad2d
######################################################################
# for functional, all states are inputs, data from inside functionals
# can only be constants
##########################################... | 45.815789 | 107 | 0.551216 |
d992c4a228423f90ecb2adf20087008d8ce1a6bc | 1,352 | py | Python | geneticalgorithm2/cache.py | its4avin/geneticalgorithm2 | 59663ce92a92a0278b5220c32a63a3a2b839d4b1 | [
"MIT"
] | 1 | 2021-04-14T18:11:34.000Z | 2021-04-14T18:11:34.000Z | geneticalgorithm2/cache.py | its4avin/geneticalgorithm2 | 59663ce92a92a0278b5220c32a63a3a2b839d4b1 | [
"MIT"
] | null | null | null | geneticalgorithm2/cache.py | its4avin/geneticalgorithm2 | 59663ce92a92a0278b5220c32a63a3a2b839d4b1 | [
"MIT"
] | null | null | null |
import numpy as np
from functools import lru_cache, wraps
#from fastcache import clru_cache
def np_lru_cache(*args, **kwargs):
"""
LRU cache implementation for functions whose FIRST parameter is a numpy array
forked from: https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75
"""
... | 23.719298 | 97 | 0.633136 |
d993489a11a177d4b9b259fdaaa7c8fc02befc02 | 4,951 | py | Python | tests/test_auto_scan_rnn.py | neonhuang/Paddle2ONNX | 96640ccbeea1ae4e628dde20b3dbb1c3b4ef2702 | [
"Apache-2.0"
] | 95 | 2019-09-27T14:26:59.000Z | 2020-12-08T01:20:28.000Z | tests/test_auto_scan_rnn.py | neonhuang/Paddle2ONNX | 96640ccbeea1ae4e628dde20b3dbb1c3b4ef2702 | [
"Apache-2.0"
] | 51 | 2018-04-04T22:39:30.000Z | 2019-08-28T20:19:14.000Z | tests/test_auto_scan_rnn.py | neonhuang/Paddle2ONNX | 96640ccbeea1ae4e628dde20b3dbb1c3b4ef2702 | [
"Apache-2.0"
] | 22 | 2019-09-03T08:50:04.000Z | 2020-12-02T11:05:42.000Z | # Copyright (c) 2021 PaddlePaddle 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 applic... | 29.470238 | 74 | 0.576045 |
d993b7be2006ba21a11c5f625ad4f43b0951e1e1 | 706 | py | Python | project_organizer/migrations/0009_project_manager_from_time_project_manager_until_time.py | c-Door-in/dvmn-project-organizer | 6e7ccdf6d0e6adfed83be8babd750d6c6f75a83e | [
"MIT"
] | null | null | null | project_organizer/migrations/0009_project_manager_from_time_project_manager_until_time.py | c-Door-in/dvmn-project-organizer | 6e7ccdf6d0e6adfed83be8babd750d6c6f75a83e | [
"MIT"
] | null | null | null | project_organizer/migrations/0009_project_manager_from_time_project_manager_until_time.py | c-Door-in/dvmn-project-organizer | 6e7ccdf6d0e6adfed83be8babd750d6c6f75a83e | [
"MIT"
] | null | null | null | # Generated by Django 4.0.1 on 2022-01-28 00:49
from django.db import migrations, models
| 29.416667 | 100 | 0.643059 |
d996560fd986f9243110269ae81896011add1a35 | 842 | py | Python | tests/test_users_organizations.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | 4 | 2019-07-02T14:37:55.000Z | 2022-01-20T13:37:01.000Z | tests/test_users_organizations.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | 53 | 2019-07-02T17:13:47.000Z | 2022-03-15T11:55:41.000Z | tests/test_users_organizations.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | null | null | null | from bintray.bintray import Bintray
| 28.066667 | 82 | 0.675772 |
793f2b848c3758a8f7dae311e7d721594f8e8f09 | 3,424 | py | Python | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 189 | 2019-05-27T08:20:10.000Z | 2022-03-28T09:29:22.000Z | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 60 | 2019-06-11T15:07:48.000Z | 2022-03-25T02:31:23.000Z | setup.py | HEmile/problog | 576b6fd305f72b12125111c8d4d62cf8a7bbda0f | [
"Apache-2.0"
] | 33 | 2019-07-03T13:14:24.000Z | 2022-02-20T01:07:15.000Z | #! /usr/bin/env python
import sys
import os
version_file = os.path.join(
os.path.abspath(os.path.dirname(__file__)), "problog/version.py"
)
version = {}
with open(version_file) as fp:
exec(fp.read(), version)
version = version["version"]
if __name__ == "__main__" and len(sys.argv) == 1:
from problog im... | 29.517241 | 88 | 0.561332 |
7940074a7371928505748d90b9c862ee5b2d225e | 82 | py | Python | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 7 | 2022-01-22T18:58:54.000Z | 2022-03-18T17:06:35.000Z | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 17 | 2021-12-08T18:00:58.000Z | 2021-12-28T14:03:27.000Z | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 1 | 2022-01-05T15:24:36.000Z | 2022-01-05T15:24:36.000Z | from haystack.nodes.question_generator.question_generator import QuestionGenerator | 82 | 82 | 0.926829 |
79423433cdcc39041c7fd83b1754e656cc596c82 | 3,178 | py | Python | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import uuid
from django.conf import settings
from django.contrib.gis.db import models
from django.contrib.gis.geos import Point
from django.contrib.postgres.fields import JSONField
| 30.854369 | 89 | 0.636249 |
7943f595c674438a1cfec4698c62343f1a8c742b | 656 | py | Python | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | 1 | 2020-02-18T00:38:16.000Z | 2020-02-18T00:38:16.000Z | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | null | null | null | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | 1 | 2020-02-18T00:39:12.000Z | 2020-02-18T00:39:12.000Z | import json as _json
import datetime as _datetime
| 29.818182 | 81 | 0.660061 |
79442688528877f19538302cd834c0bc231e8349 | 959 | py | Python | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import copy
if __name__ == '__main__':
l = [3, 4, 10, 2, 7]
target = 9
result = Solution().twoSum(l, target)
print(result)
result1 = Solution().two_sum(l, target)
print(result1)
| 21.795455 | 55 | 0.486966 |
794467ea5227d786240a4dc2c21fda99810bd1c3 | 1,162 | py | Python | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 20 | 2017-04-25T21:07:24.000Z | 2022-03-30T11:11:47.000Z | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 4 | 2016-04-06T01:19:27.000Z | 2020-09-26T18:38:29.000Z | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 12 | 2017-04-02T23:10:46.000Z | 2022-03-21T03:43:55.000Z | import numpy as np
from .logger import log
from .array_grid import get_next_grid_dims
from .act_on_image import ActOnImage
from .array_message import write_conjugated_message_grids
from .bpcs_steg import arr_bpcs_complexity
| 33.2 | 101 | 0.692771 |
7946dedb29967a5ff96a8d7cd312b2fd2bc51b15 | 6,859 | py | Python | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 3 | 2020-12-07T04:07:04.000Z | 2021-08-19T10:41:08.000Z | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 2 | 2020-12-10T19:12:02.000Z | 2020-12-10T19:12:08.000Z | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 2 | 2021-04-14T14:32:39.000Z | 2021-12-10T10:36:59.000Z | # # Exploration of the crash severity information in CAS data
#
# In this notebook, we will explore the severity of crashes, as it will be the
# target of our predictive models.
from pathlib import Path
import numpy as np
import pandas as pd
import scipy.stats as st
import matplotlib.pyplot as plt
import seaborn as s... | 30.896396 | 85 | 0.697478 |
794737a97c176c9f701f94c89a9d3fa6ea1cba13 | 601 | py | Python | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | import gym
if __name__ == '__main__':
cartpole()
| 28.619048 | 66 | 0.577371 |
794855d07b967464fa463b2ba9dd7683a00f2311 | 3,466 | py | Python | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | 6 | 2021-05-09T12:43:37.000Z | 2021-12-07T01:56:02.000Z | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | null | null | null | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | null | null | null | # ------------------------------------------------------------ Imports ----------------------------------------------------------- #
# System
from typing import Optional
# Pip
from kw3 import WrappedContract, Web3
from kw3.constants import Constants as KW3Constants
# Local
from ._abi import pancakeswap_factory_abi
... | 28.409836 | 132 | 0.467398 |
794b0eee657db516c725d2d35f15819da5d490ca | 17,648 | py | Python | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | # The collection of functions for the Boston AirBnB dataset
# import necessary libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from pandas.tseries.holiday import USFederalHolidayCalendar as calendar #To check holidays in the U.S
import time
import copy
def load_b... | 54.807453 | 501 | 0.716228 |
794b69e64ae775672890ac0f8ee3c75b24418261 | 2,898 | py | Python | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 16 | 2020-04-28T07:03:26.000Z | 2022-03-05T14:26:40.000Z | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 14 | 2020-03-19T04:32:18.000Z | 2021-03-05T23:54:47.000Z | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 3 | 2021-01-19T18:39:00.000Z | 2022-02-14T23:51:07.000Z | from typing import List, Any
from markdown import Markdown
from markdown.extensions import Extension
from markdown.blockprocessors import BlockProcessor
import re
import xml.etree.ElementTree as etree
def makeExtension(**kwargs: Any) -> InfoPanelExtension:
return InfoPanelExtension(**kwargs)
| 32.931818 | 103 | 0.596963 |
794c1314bf22e9986c1038e23ccfa6cf2ec03b66 | 5,096 | py | Python | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | 2 | 2020-06-27T11:44:19.000Z | 2022-01-11T21:23:01.000Z | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | null | null | null | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Copyright 2019 Abe Leite
# Based on "Proximal Policy Optimization Algorithms", Schulman et al 2017
# For the benefit of my fellow CSCI-B 659 students
# While I hope that this code is helpful I will not vouch for its total accuracy;
# my primary aim here is to elucidate the ideas from the paper.
i... | 40.768 | 113 | 0.615385 |
794c7683b545a543ae42b9c3d18137a15b824634 | 2,620 | py | Python | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | from pytube import YouTube
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializers import YoutubeDLSerializer
from .utils import make_time, make_size
| 34.933333 | 111 | 0.500763 |
794d1639433e46b61c5a932940ac1015c7fa9ee0 | 593 | py | Python | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | 5 | 2019-06-01T13:16:00.000Z | 2022-03-02T10:21:59.000Z | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | null | null | null | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | 1 | 2019-06-01T13:19:18.000Z | 2019-06-01T13:19:18.000Z | # -*- coding: utf-8 -*-
# tomolab
# Michele Scipioni
# Harvard University, Martinos Center for Biomedical Imaging
# University of Pisa
__all__ = ['convert_listmode_dicom_to_interfile',
'import_interfile_projection', 'export_interfile_projection', 'import_h5f_projection',
'import_interfile_volume... | 37.0625 | 105 | 0.812816 |
794d44a2cc74842f8b8d00f81d2ce675f076304a | 5,043 | py | Python | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | import json
import pandas as pd
import numpy as np
from typing import Union, List
from pathlib import Path
from timeit import default_timer as timer
from nntrainer import data as nn_data
| 37.917293 | 113 | 0.628594 |
794d94442dfccd9fb0860ed1722ed3107bbed462 | 1,244 | py | Python | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | import sys
import re
import pandas as pd
if __name__ == "__main__":
main()
| 30.341463 | 129 | 0.639871 |
794e02a9abb8bfa43732422f20b7e7e3ffdaefeb | 10,950 | py | Python | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | 1 | 2015-11-08T11:49:35.000Z | 2015-11-08T11:49:43.000Z | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
| 69.303797 | 172 | 0.541918 |
794e90ebf4066373e9e80503d5223bdfcb0a3273 | 580 | py | Python | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-04-04T07:34:14.000Z | 2021-04-04T07:34:14.000Z | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | null | null | null | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-02-18T09:50:10.000Z | 2021-02-18T09:50:10.000Z | import math
import numpy as np
from vector import Vector
import segment as segment_lib
| 25.217391 | 91 | 0.631034 |
794ebda12bc12785e1d67a516bc488f2cac0229b | 424 | py | Python | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | import os
from cloud.aws_service import AwsService
def main():
"""Execute script."""
region = os.environ.get('REGION', 'us-east-1')
s3_bucket = os.environ.get('S3_BUCKET', 'costmgmtacct1234')
aws = AwsService()
result = aws.create_bucket(s3_bucket, region)
if result:
print(f'S3 bucke... | 22.315789 | 63 | 0.653302 |
794f5243f54f0804ec162bec691a557c23883c30 | 773 | py | Python | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 16 | 2022-02-11T14:49:04.000Z | 2022-03-30T07:33:45.000Z | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 1 | 2022-02-16T15:23:50.000Z | 2022-02-21T15:30:21.000Z | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 1 | 2022-03-24T10:52:28.000Z | 2022-03-24T10:52:28.000Z |
import sys
sys.path.append("..")
import time
from charge_controller_tcp_driver.charge_controller_tcp_client_helper import *
if __name__ == '__main__':
helper = ChargeControllerTCPClientHelper("169.254.43.3", 12500)
time.sleep(3)
helper.set_pwm(100)
print("PWM:", helper.get_pwm())
#time.sleep(10)... | 24.15625 | 78 | 0.648124 |
794f8be8a7920197768cc08897059ca509f8735d | 5,312 | py | Python | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 83 | 2021-08-30T02:50:37.000Z | 2022-02-22T09:37:36.000Z | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 2 | 2021-09-10T08:44:13.000Z | 2022-01-23T17:33:35.000Z | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 6 | 2021-09-10T07:09:41.000Z | 2021-11-07T14:31:33.000Z | import os
from typing import Text
import torch
import unittest
import torch.nn as nn
import torch.optim as optim
from allennlp.models import Model
from allennlp.data.vocabulary import Vocabulary
from zsl_kg.class_encoders.auto_gnn import AutoGNN
from zsl_kg.example_encoders.text_encoder import TextEncoder
from zsl_kg... | 31.247059 | 77 | 0.573419 |
79509ae0de663c69b13b3aa40296a01c2a31c785 | 5,077 | py | Python | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | import csv
import json
import logging
import math
import random as ran
| 32.33758 | 104 | 0.554855 |
79509e0da59087724c7ad32862f4a10871238e6b | 4,518 | py | Python | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | 1 | 2022-02-20T22:05:26.000Z | 2022-02-20T22:05:26.000Z | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | null | null | null | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | null | null | null | import json
import subprocess
import asyncio
from solana.rpc.async_api import AsyncClient
from solana.publickey import PublicKey
from anchorpy import Program, Provider, Wallet
if __name__ == '__main__':
main()
| 36.144 | 132 | 0.588092 |
7950faaf8969b4bfd67614a72bff42f402a632e6 | 357 | py | Python | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 270 | 2020-01-27T06:06:07.000Z | 2020-06-21T00:28:18.000Z | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 158 | 2020-02-10T20:36:54.000Z | 2020-06-26T17:12:54.000Z | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 15 | 2020-02-13T21:53:33.000Z | 2020-06-17T16:52:46.000Z | """ an image, nothing fancy """
from dataclasses import dataclass
from .base_activity import ActivityObject
| 17 | 41 | 0.64986 |
795109620dee96ad8eef48181ff1ae3077d016d2 | 477 | py | Python | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 164 | 2017-11-24T13:07:04.000Z | 2022-03-10T04:54:46.000Z | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 21 | 2018-09-29T10:27:10.000Z | 2019-06-12T07:01:58.000Z | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 49 | 2018-05-09T17:28:52.000Z | 2022-02-27T04:50:45.000Z | from .catch_errors import check_for_period_error
from .exponential_moving_average import exponential_moving_average as ema
def moving_average_convergence_divergence(data, short_period, long_period):
"""
Moving Average Convergence Divergence.
Formula:
EMA(DATA, P1) - EMA(DATA, P2)
"""
check_for... | 29.8125 | 75 | 0.761006 |
795164e9b019d5e0233e60502428b4c2cb401ddf | 4,647 | py | Python | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 8 | 2018-11-18T00:37:25.000Z | 2020-12-06T13:17:53.000Z | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 8 | 2017-08-21T10:07:58.000Z | 2020-03-29T18:23:37.000Z | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 1 | 2021-03-04T17:43:36.000Z | 2021-03-04T17:43:36.000Z | import os
import glob
import shutil
import zipfile
from functions.game_name_functions import *
if (os.getcwd().endswith('scripts')):
os.chdir('..')
from classes.scraper import *
if __name__=='__main__':
scrape_csscgc() | 49.967742 | 114 | 0.497095 |
7951a7941dd6bc9bef1b322015def6a9a9e06453 | 328 | py | Python | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | from django.forms import ModelForm
from ..models import Pit
| 25.230769 | 70 | 0.631098 |
7952609e9f72568f6207d4ca79537c3b28a117d4 | 203 | py | Python | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 1 | 2022-01-20T18:48:46.000Z | 2022-01-20T18:48:46.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 8 | 2020-10-05T15:27:07.000Z | 2021-02-16T17:17:54.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 5 | 2020-10-05T18:11:44.000Z | 2022-01-21T18:33:13.000Z | import pathlib
TEMPLATES_DIR = pathlib.Path(__file__).resolve(strict=True).parent / 'conf'
APP_TEMPLATES_DIR = TEMPLATES_DIR / 'app_template'
PROJECT_TEMPLATES_DIR = TEMPLATES_DIR / 'project_template'
| 29 | 75 | 0.807882 |
79526a360c29da4c2b5320e1dc30a9a350d4bff9 | 5,249 | py | Python | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 4 | 2021-07-20T18:49:44.000Z | 2021-10-15T00:58:12.000Z | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | null | null | null | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 2 | 2022-01-07T17:57:42.000Z | 2022-01-13T21:00:20.000Z | # std
from typing import Any, Dict, List, Optional, Union
# external
import pkg_resources
import sqlalchemy
from sqlalchemy.orm import aliased, Session
# molar
from molar.backend import schemas
from molar.backend.database.utils import sqlalchemy_to_dict
INFORMATION_QUERY = open(
pkg_resources.resource_filename("... | 30.34104 | 87 | 0.594589 |
7952969e6d0b68c2f855a88488afaf384b30fc3f | 2,377 | py | Python | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | import time
import os
if __name__ == "__main__":
main() | 20.491379 | 76 | 0.641565 |
795299febd0881f339bf75a4c01b525d81a4103e | 1,089 | py | Python | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Role models."""
from dataclasses import dataclass
from array import array
from .database import Column, Model, SurrogatePK, db, reference_col, relationship
from sqlalchemy.dialects.postgresql import ARRAY
| 26.560976 | 81 | 0.673095 |
79539f171b11d067d372dd7f773b3f28ca1c0d21 | 5,696 | py | Python | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | null | null | null | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | null | null | null | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | 1 | 2022-01-19T14:49:42.000Z | 2022-01-19T14:49:42.000Z | import requests, datetime as dt, numpy as np, pandas as pd, pytz
from dateutil.relativedelta import relativedelta
# Call for raw data (NASDAQ)
# Call for current price
# Call for order
# Call to list bought stocks
# Call for stock quantity bought
# Call for buying power
# Call for calendar (check if holiday)
#... | 34.107784 | 119 | 0.548631 |
79540db7343cd37c04169f2c2a9534f0c0ea7d5c | 1,187 | py | Python | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 21 | 2018-01-05T09:24:49.000Z | 2021-04-24T03:25:25.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 1 | 2019-11-11T18:34:53.000Z | 2019-11-13T15:56:10.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 13 | 2018-01-05T10:26:47.000Z | 2022-01-25T07:48:33.000Z | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
| 27.604651 | 118 | 0.57877 |
79549336a4241631b02e785750cc140cfc8710c5 | 15,643 | py | Python | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null |
from urllib import request
import random
import json
#
url = r'https://www.baidu.com/s?cl=3&tn=baidutop10&fr=top1000&wd=%E7%9F%B3%E7%94%B0%E7%BA%AF%E4%B8%80%E6%84%9F%E6%9F%93%E6%96%B0%E5%86%A0&rsv_idx=2&rsv_dl=fyb_n_homepage&hisfilter=1'
#
agent_list = [
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebK... | 140.927928 | 6,714 | 0.915681 |
7954a7bbe8ccac9a9d76513832ed91b4c1c715ad | 3,075 | py | Python | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import onegov.core
import onegov.org
from tests.shared import utils
| 27.212389 | 74 | 0.67935 |
795502273dc48fdf684fe2e0b8c17dbaab75cc3f | 8,530 | pyw | Python | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import filedialog
from Solve_stages import *
from Text_stages import *
from Analysis_stages import *
from Output import *
root = tk.Tk()
root.title("Cipher program")
root.geometry("1500x500")
root.state("zoomed") #apparently windows only
stage_editor = tk.Frame(root, width=10, height=... | 36.609442 | 149 | 0.710785 |
7956dd9954a869adae25776f34d9cfad6f7f2ede | 1,912 | py | Python | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | from mp.data.pytorch.pytorch_dataset import PytorchDataset
from mp.data.datasets.dataset import Instance
import copy
import torch
| 40.680851 | 97 | 0.671548 |
795999b8a086d2a92c7c0d0019a508d781dcdb36 | 4,889 | py | Python | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 1 | 2021-07-15T07:05:18.000Z | 2021-07-15T07:05:18.000Z | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 2 | 2021-07-15T06:12:47.000Z | 2021-07-16T10:05:36.000Z | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | null | null | null | import pathlib
import pandas as pd
from palmnet.visualization.utils import get_palminized_model_and_df, get_df
import matplotlib.pyplot as plt
import numpy as np
import logging
import plotly.graph_objects as go
import plotly.express as px
from pprint import pprint as pprint
mpl_logger = logging.getLogger('matplotlib'... | 40.07377 | 178 | 0.607895 |
795b1f096f5aa18037e59346d95e4b832947c2de | 8,209 | py | Python | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | 3 | 2018-04-16T15:51:36.000Z | 2019-12-16T11:21:05.000Z | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
import cmath
import numpy as np
from scipy import integrate
from .. import polarization
from ...utils import instance
from ...patch import jsonpickle
def test_suite():
"""Test suite including all test suites"""
testSuite = unittest.TestSuite()
testSuite.addTest(t... | 35.081197 | 83 | 0.575466 |
795b834e229f484b2777e3dde64e6efd9b1ae8d7 | 1,166 | py | Python | AlphaDDA1/Othello/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | 11 | 2021-11-13T01:43:28.000Z | 2021-12-19T06:40:34.000Z | AlphaZero/Othello66/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | null | null | null | AlphaZero/Othello66/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | null | null | null | #---------------------------------------
#Since : 2019/04/24
#Update: 2019/07/25
# -*- coding: utf-8 -*-
#---------------------------------------
import numpy as np
| 26.5 | 53 | 0.482847 |
795e54dfa1e363bb6a92f080ec47772f29a13da6 | 811 | py | Python | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | """
______ _ _ _____ _ _ _
| ____| | | (_) | __ \ | | /\ | | (_)
| |__ __ _ ___| |_ __ _ _ __ _ | |__) |___ ___| |_ / \ __| |_ __ ___ _ _ __
| __/ _` / __| __/ _` | '_ \| | | _ // _ \/ __| __| / /... | 45.055556 | 89 | 0.393342 |
795f708e3eddaecd36d179568af03258f48e6ef1 | 8,202 | py | Python | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | import itertools
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from scipy.stats import f
from scipy.stats import norm
three_data = pd.read_csv('test_data.csv')
three = ANOVA(three_data)
#Doesn't work for n < 2
five_data = pd.read_csv('example_data.csv')
five_da... | 42.278351 | 157 | 0.617045 |
795f95b9ee59eba0d720fd1de7316678421773f4 | 6,010 | py | Python | datmo/core/entity/snapshot.py | datmo/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 331 | 2018-03-30T14:33:59.000Z | 2022-01-10T19:43:32.000Z | datmo/core/entity/snapshot.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 274 | 2018-04-08T17:12:44.000Z | 2020-07-29T02:45:22.000Z | datmo/core/entity/snapshot.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 28 | 2018-05-03T21:57:22.000Z | 2020-12-31T04:18:42.000Z | import os
from datetime import datetime
from datmo.core.util.json_store import JSONStore
from datmo.core.util.misc_functions import prettify_datetime, printable_object, format_table
| 38.280255 | 95 | 0.621631 |
7961d1af5a2c494ba659aefe30c177aba0152b99 | 3,895 | py | Python | ranking/train_LM.py | yzhhome/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | 1 | 2021-12-21T10:50:21.000Z | 2021-12-21T10:50:21.000Z | ranking/train_LM.py | kalanile/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | null | null | null | ranking/train_LM.py | kalanile/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | 1 | 2021-12-21T10:50:20.000Z | 2021-12-21T10:50:20.000Z | '''
@Author: dengzaiyong
@Date: 2021-08-21 15:16:08
@LastEditTime: 2021-08-27 19:37:08
@LastEditors: dengzaiyong
@Desciption: tfidf, word2vec, fasttext
@FilePath: /JDQA/ranking/train_LM.py
'''
import os
from collections import defaultdict
from gensim import models, corpora
import config
import pandas as pd
import jie... | 32.458333 | 95 | 0.537869 |
7962461ca47687b7819e6dc00edee38793e1d6d0 | 4,680 | py | Python | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | null | null | null | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | null | null | null | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | 1 | 2022-03-09T23:46:32.000Z | 2022-03-09T23:46:32.000Z | import uuid
import datetime
import pymysql
from tool.Config import Config
from tool.Logger import Logger
| 37.142857 | 115 | 0.519444 |
79627b9bf273d6f20eed09dec297c797623cc255 | 4,773 | py | Python | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-08-13T13:46:04.000Z | 2021-08-13T13:46:04.000Z | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | null | null | null | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-09-29T18:25:48.000Z | 2021-09-29T18:25:48.000Z | import pytest
from sqlalchemy.exc import IntegrityError
from app.dao.inbound_shortnumbers_dao import (
dao_get_inbound_shortnumbers,
dao_get_inbound_shortnumber_for_service,
dao_get_available_inbound_shortnumbers,
dao_set_inbound_shortnumber_to_service,
dao_set_inbound_shortnumber_active_flag,
... | 39.775 | 125 | 0.803059 |
7962e2d4ed65e0f87126ca65657b5d805b1ac6cf | 2,363 | py | Python | profiletool.py | SimpleProxy/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | 1 | 2020-10-21T21:32:42.000Z | 2020-10-21T21:32:42.000Z | profiletool.py | kelvesc/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | null | null | null | profiletool.py | kelvesc/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | null | null | null | #!/bin/python3
# -*- coding: utf-8 -*-
# file name: profiletool.py
# standart libraries
from time import sleep
from time import process_time_ns as timer_ns
# to call the respective routines
import subprocess as ps
# local imports
import pyfactorial as pyf
import mathfactorial as mtf
if __name__ == "__main__":
... | 22.084112 | 59 | 0.611934 |