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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3024da0c8cff966a108eb9eabba60d6ffdc885bc | 2,878 | py | Python | Gmail.py | renauddahou/appointment_bot | f78c4242c6d0eb1dfc2edfdca8c4f37b22d9cf93 | [
"MIT"
] | 3 | 2021-05-12T22:27:08.000Z | 2022-03-24T14:50:20.000Z | Gmail.py | renauddahou/appointment_bot | f78c4242c6d0eb1dfc2edfdca8c4f37b22d9cf93 | [
"MIT"
] | 3 | 2021-12-26T12:38:57.000Z | 2022-03-25T19:34:31.000Z | Gmail.py | renauddahou/appointment_bot | f78c4242c6d0eb1dfc2edfdca8c4f37b22d9cf93 | [
"MIT"
] | 4 | 2021-07-30T16:41:30.000Z | 2022-02-01T14:48:45.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 10 17:49:07 2020
@author: Amir
"""
import email
import imaplib
from email.header import decode_header
import re
| 35.530864 | 105 | 0.407575 |
3026fa5fec5a07d66102ae71523732602b37bf87 | 6,637 | py | Python | Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py | TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning | 2d8c12c2b5a4865c02934b63091945d3e2c92e90 | [
"MIT"
] | null | null | null | Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py | TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning | 2d8c12c2b5a4865c02934b63091945d3e2c92e90 | [
"MIT"
] | null | null | null | Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py | TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning | 2d8c12c2b5a4865c02934b63091945d3e2c92e90 | [
"MIT"
] | null | null | null | # coding=utf-8
import numpy as np
import imageio
from gym import spaces
import tkinter as tk
from PIL import Image, ImageTk
import matplotlib.pyplot as plt
import time
CELL, BLOCK, AGENT_GOAL, OPPONENT_GOAL, AGENT, OPPONENT = range(6)
WIN, LOSE = 5, -5
UP, RIGHT, DOWN, LEFT, HOLD = range(5)
UNIT = 40
if __name__... | 39.041176 | 178 | 0.552509 |
302802899cbe877d306af7d92c456a506768688c | 103 | py | Python | utils/__init__.py | riven314/AL-MDN | 5f843e2e7c99f3ae36e8139ec0d8aaa4a78d4962 | [
"BSD-Source-Code"
] | 59 | 2021-10-13T22:59:19.000Z | 2022-03-26T20:44:47.000Z | utils/__init__.py | jwchoi384/AL-MDN | 54aaae4405c69b33998e5b5306c7c645780d473c | [
"BSD-Source-Code"
] | 10 | 2021-11-02T06:35:24.000Z | 2022-03-26T21:08:06.000Z | utils/__init__.py | jwchoi384/AL-MDN | 54aaae4405c69b33998e5b5306c7c645780d473c | [
"BSD-Source-Code"
] | 9 | 2021-10-14T09:48:05.000Z | 2022-03-27T06:04:32.000Z | # Originated from https://github.com/amdegroot/ssd.pytorch
from .augmentations import SSDAugmentation
| 25.75 | 58 | 0.825243 |
30292b7c2f6979a04692b3c67d475af07d5a822b | 184 | py | Python | modules/moderation/__init__.py | H3xadecimal/Nest | 4422cf5725a71603ff58ccbf9f261b28ff96f70e | [
"MIT"
] | 10 | 2018-04-21T07:29:42.000Z | 2019-02-01T20:46:48.000Z | modules/moderation/__init__.py | H3xadecimal/Nest | 4422cf5725a71603ff58ccbf9f261b28ff96f70e | [
"MIT"
] | 2 | 2018-09-10T00:58:40.000Z | 2019-12-22T11:19:58.000Z | modules/moderation/__init__.py | H3xadecimal/Nest | 4422cf5725a71603ff58ccbf9f261b28ff96f70e | [
"MIT"
] | 2 | 2018-09-09T23:07:56.000Z | 2019-10-19T15:26:56.000Z | """
Basic moderation utilities for Birb.
"""
from .staff import CheckMods
from .actions import ModActions
| 15.333333 | 36 | 0.717391 |
302af14bd5d8ff0171af453caa11c3079af12cfe | 227 | py | Python | docker_compose/tweet_collector/config.py | lenaromanenko/twitter_sentiment_analysis | ac642ee4a6c2af01bd413326ff0bae406c2e2efe | [
"MIT"
] | 1 | 2021-03-23T10:27:06.000Z | 2021-03-23T10:27:06.000Z | docker_compose/tweet_collector/config.py | lenaromanenko/twitter_sentiment_analysis | ac642ee4a6c2af01bd413326ff0bae406c2e2efe | [
"MIT"
] | null | null | null | docker_compose/tweet_collector/config.py | lenaromanenko/twitter_sentiment_analysis | ac642ee4a6c2af01bd413326ff0bae406c2e2efe | [
"MIT"
] | 1 | 2021-05-31T15:39:30.000Z | 2021-05-31T15:39:30.000Z | import os
API_KEY = os.getenv('API_KEY')
API_SECRET = os.getenv('API_SECRET')
ACCESS_TOKEN = os.getenv('ACCESS_TOKEN')
ACCESS_TOKEN_SECRET = os.getenv('ACCESS_TOKEN_SECRET')
POSTGRES_PASSWORD = os.getenv('POSTGRES_PASSWORD')
| 25.222222 | 54 | 0.784141 |
302e0d78b3644fab203f5a2140185b921dd4135b | 7,140 | py | Python | tests/test_jid.py | nicfit/vexmpp | e67070d2822da8356345976fb15d365935b550a6 | [
"MIT"
] | null | null | null | tests/test_jid.py | nicfit/vexmpp | e67070d2822da8356345976fb15d365935b550a6 | [
"MIT"
] | 349 | 2017-02-18T22:48:17.000Z | 2021-12-13T19:50:23.000Z | tests/test_jid.py | nicfit/vexmpp | e67070d2822da8356345976fb15d365935b550a6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
test_jid
----------------------------------
Tests for `vexmpp.xmpp.jid` module.
"""
import unittest
from vexmpp.jid import Jid, _parse, _prep, InvalidJidError, internJid
| 29.874477 | 77 | 0.539076 |
302e8f1be7a7ffb783af9f6bd1bdc7f3405e6a18 | 745 | py | Python | brainutils/context.py | jimbuho/django-brain | 201237266a64e49b5c37f3d373ff6913dfbd099e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | brainutils/context.py | jimbuho/django-brain | 201237266a64e49b5c37f3d373ff6913dfbd099e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | brainutils/context.py | jimbuho/django-brain | 201237266a64e49b5c37f3d373ff6913dfbd099e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
.. module:: dbu - context
:platform: Unix, Windows
:synopsis: Contexto Principal por defecto
.. moduleauthor:: Diego Gonzalez <dgonzalez.jim@gmail.com>
"""
from . import configuration
from . import models
def load_context(request):
"""
Load Context
Description
... | 19.102564 | 58 | 0.640268 |
302ff0768eb4d4a5356d5db0b329d974eeccb455 | 689 | py | Python | tests/trainer/test_multi_trainer.py | michael-aloys/knodle | 393e7ba0558036828fb228875511977c40000ed5 | [
"Apache-2.0"
] | 71 | 2021-04-26T10:39:56.000Z | 2022-03-28T14:36:16.000Z | tests/trainer/test_multi_trainer.py | michael-aloys/knodle | 393e7ba0558036828fb228875511977c40000ed5 | [
"Apache-2.0"
] | 92 | 2021-04-08T12:49:38.000Z | 2022-02-03T14:24:05.000Z | tests/trainer/test_multi_trainer.py | michael-aloys/knodle | 393e7ba0558036828fb228875511977c40000ed5 | [
"Apache-2.0"
] | 10 | 2021-07-08T06:49:28.000Z | 2022-01-15T23:28:13.000Z | from tests.trainer.generic import std_trainer_input_1
from knodle.trainer.multi_trainer import MultiTrainer
| 25.518519 | 62 | 0.69521 |
3030b091442a66a1758237c47ca2d3b1d6082b1e | 368 | py | Python | core/models.py | dilshodbekikromov/weatherapp | 105ca8c7a142a4afdff9bff7c758896f0335610c | [
"PostgreSQL"
] | 1 | 2021-12-17T05:17:22.000Z | 2021-12-17T05:17:22.000Z | core/models.py | GiovannaK/Weather-app-django | 3138f03b34baa5866ed63f52dc4b759be6eb7aa4 | [
"MIT"
] | null | null | null | core/models.py | GiovannaK/Weather-app-django | 3138f03b34baa5866ed63f52dc4b759be6eb7aa4 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
| 26.285714 | 74 | 0.701087 |
30325bbf9ed4d06063912ef3759ddd07cefbb4f5 | 133 | py | Python | python/numba_chol.py | sevagh/cholesky | bf5404bdaab497409c517312d5a234c6a5ffe9cf | [
"BSD-3-Clause"
] | null | null | null | python/numba_chol.py | sevagh/cholesky | bf5404bdaab497409c517312d5a234c6a5ffe9cf | [
"BSD-3-Clause"
] | null | null | null | python/numba_chol.py | sevagh/cholesky | bf5404bdaab497409c517312d5a234c6a5ffe9cf | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from numba import jit
| 16.625 | 50 | 0.736842 |
30332c35e591fa52e355d5d29a0ebf609792b6f8 | 191 | py | Python | doxieapi/__init__.py | Stealthii/doxieapi | bf6803a579b9a9f768e3e602e3cb2fb1eb0e8f3c | [
"0BSD"
] | null | null | null | doxieapi/__init__.py | Stealthii/doxieapi | bf6803a579b9a9f768e3e602e3cb2fb1eb0e8f3c | [
"0BSD"
] | null | null | null | doxieapi/__init__.py | Stealthii/doxieapi | bf6803a579b9a9f768e3e602e3cb2fb1eb0e8f3c | [
"0BSD"
] | null | null | null | # -*- coding: utf-8 -*-
"""
doxieapi
~~~~~~~~
A Python library for the developer API of the Doxie Go Wi-Fi document scanner.
"""
from .api import DoxieScanner
__all__ = ['DoxieScanner']
| 13.642857 | 78 | 0.65445 |
3033df96925128ff7539e6a8f86e4620e486d85d | 18,447 | py | Python | iogt_content_migration/management/commands/load_v1_db.py | Albert-Jokelin/iogt | 79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465 | [
"BSD-2-Clause"
] | null | null | null | iogt_content_migration/management/commands/load_v1_db.py | Albert-Jokelin/iogt | 79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465 | [
"BSD-2-Clause"
] | null | null | null | iogt_content_migration/management/commands/load_v1_db.py | Albert-Jokelin/iogt | 79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465 | [
"BSD-2-Clause"
] | null | null | null | from pathlib import Path
from django.core.management.base import BaseCommand
from wagtail.core.models import Page, Site, Locale
from django.core.files.images import ImageFile
from wagtail.images.models import Image
from wagtail_localize.models import Translation
from wagtail_localize.views.submit_translations import Tr... | 40.277293 | 152 | 0.58725 |
3033fd8167635b4a38bf68dbe82419686667a557 | 2,968 | py | Python | run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py | jessiesrr/VTdyn | 6f71ef94525d95221f5bd5e5290f4df10648cd18 | [
"MIT"
] | null | null | null | run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py | jessiesrr/VTdyn | 6f71ef94525d95221f5bd5e5290f4df10648cd18 | [
"MIT"
] | null | null | null | run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py | jessiesrr/VTdyn | 6f71ef94525d95221f5bd5e5290f4df10648cd18 | [
"MIT"
] | null | null | null | import numpy as np
import libs.contact_inhibition_lib as lib #library for simulation routines
import libs.data as data
import libs.plot as vplt #plotting library
from structure.global_constants import *
import structure.initialisation as init
from structure.cell import Tissue, BasicSpringForceNoGrowth
import matplotlib... | 44.298507 | 143 | 0.738544 |
30350c07d409b3ddee9b9e26e89145475e5ec90e | 120 | py | Python | tmp/admin.py | infiltratorXYZ/invoicer | 9b3542040b0e8268b2f725eeee8b806f9ca61a6d | [
"MIT"
] | null | null | null | tmp/admin.py | infiltratorXYZ/invoicer | 9b3542040b0e8268b2f725eeee8b806f9ca61a6d | [
"MIT"
] | null | null | null | tmp/admin.py | infiltratorXYZ/invoicer | 9b3542040b0e8268b2f725eeee8b806f9ca61a6d | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Invoice
# Register your models here.
admin.site.register(Invoice)
| 20 | 32 | 0.808333 |
3035188b0c9611cb3581b6c9c987990a72ba1ab9 | 17,920 | py | Python | TAPI_RI/flask_server/tapi_server/models/connection_end_point.py | bartoszm/Snowmass-ONFOpenTransport | 874e7a3f311d915d692b27fcbd24032c89064f00 | [
"Apache-2.0"
] | null | null | null | TAPI_RI/flask_server/tapi_server/models/connection_end_point.py | bartoszm/Snowmass-ONFOpenTransport | 874e7a3f311d915d692b27fcbd24032c89064f00 | [
"Apache-2.0"
] | null | null | null | TAPI_RI/flask_server/tapi_server/models/connection_end_point.py | bartoszm/Snowmass-ONFOpenTransport | 874e7a3f311d915d692b27fcbd24032c89064f00 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from tapi_server.models.base_model_ import Model
from tapi_server.models.name_and_value import NameAndValue # noqa: F401,E501
from tapi_server.models.operational_state... | 43.814181 | 536 | 0.69135 |
30357aaf0a514c1636520e15938cba9dc811ec7d | 901 | py | Python | idom_jupyter/jupyter_server_extension.py | idom-team/idom-jupyter | 21037d41c51d4d9e23cca4486a850f2915f27d29 | [
"MIT"
] | 28 | 2020-09-12T19:59:27.000Z | 2022-03-14T10:08:13.000Z | idom_jupyter/jupyter_server_extension.py | idom-team/idom-jupyter | 21037d41c51d4d9e23cca4486a850f2915f27d29 | [
"MIT"
] | 11 | 2020-10-05T06:54:43.000Z | 2022-02-19T21:16:31.000Z | idom_jupyter/jupyter_server_extension.py | idom-team/idom-jupyter | 21037d41c51d4d9e23cca4486a850f2915f27d29 | [
"MIT"
] | null | null | null | from urllib.parse import urljoin
from appdirs import user_data_dir
from notebook.notebookapp import NotebookApp
from idom.config import IDOM_WED_MODULES_DIR
from tornado.web import StaticFileHandler
from tornado.web import Application
IDOM_WED_MODULES_DIR.current = user_data_dir("idom-jupyter", "idom-team")
# com... | 29.064516 | 73 | 0.712542 |
303647975ecbe068790f55c360ba681d772f2c4f | 1,033 | py | Python | dobot_gym/envs/real/dobot_env.py | sandipan1/dobot_gym | acea98da2506653d45d55e15a036da583415f31d | [
"MIT"
] | 1 | 2020-11-22T11:07:01.000Z | 2020-11-22T11:07:01.000Z | dobot_gym/envs/real/dobot_env.py | sandipan1/dobot_gym | acea98da2506653d45d55e15a036da583415f31d | [
"MIT"
] | null | null | null | dobot_gym/envs/real/dobot_env.py | sandipan1/dobot_gym | acea98da2506653d45d55e15a036da583415f31d | [
"MIT"
] | 1 | 2021-01-10T09:36:25.000Z | 2021-01-10T09:36:25.000Z | ## common class for only dobot with cam
import gym
from gym import utils
from glob import glob
from dobot_gym.utils.dobot_controller import DobotController
from gym.spaces import MultiDiscrete
| 28.694444 | 60 | 0.648596 |
3037ce4b050caa1080564ccd27af84ba3f81c62a | 1,609 | py | Python | Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | #########################
#Author: Sam Higginbotham
########################
from WMCore.Configuration import Configuration
config = Configuration()
#name='Pt11to30'
config.section_("General")
config.General.requestName = 'PCC_Run2017E_Corrections'
config.General.workArea = 'RawPCCZeroBias2017'
config.section_("JobT... | 36.568182 | 163 | 0.778745 |
3037ecccd158f87250f163febc7c04a882e857b4 | 6,819 | py | Python | active_frame.py | binhhoangtieu/C3D-tensorflow | d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6 | [
"MIT"
] | 1 | 2019-02-11T15:47:52.000Z | 2019-02-11T15:47:52.000Z | active_frame.py | binhhoangtieu/C3D-tensorflow | d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6 | [
"MIT"
] | null | null | null | active_frame.py | binhhoangtieu/C3D-tensorflow | d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6 | [
"MIT"
] | 1 | 2018-12-04T04:55:19.000Z | 2018-12-04T04:55:19.000Z | import cv2
import os
import glob
import numpy as np
from operator import itemgetter
# import matplotlib.pyplot as plt
import math
import scipy.stats as stats
#This function select numbers of the most active frame in a segment
#this function get the most active frame
#https://en.wikipedia.org/wiki/Normal_distribution... | 31.569444 | 110 | 0.706555 |
303842a63bcf998cc97937b86976891ee5b81ac2 | 5,547 | py | Python | lift-learn/metrics/_values.py | smn-ailab/lift-learn | 158b8be554aad49033ee2eacf14fbbeb2418d6f7 | [
"MIT"
] | 1 | 2019-03-12T11:07:16.000Z | 2019-03-12T11:07:16.000Z | lift-learn/metrics/_values.py | smn-ailab/lift-learn | 158b8be554aad49033ee2eacf14fbbeb2418d6f7 | [
"MIT"
] | 1 | 2019-02-15T06:21:33.000Z | 2019-02-20T01:03:54.000Z | lift-learn/metrics/_values.py | smn-ailab/lift-learn | 158b8be554aad49033ee2eacf14fbbeb2418d6f7 | [
"MIT"
] | null | null | null | """Metrics to assess performance on ite prediction task."""
from typing import Optional
import numpy as np
import pandas as pd
def expected_response(y: np.ndarray, w: np.ndarray, policy: np.ndarray,
mu: Optional[np.ndarray]=None, ps: Optional[np.ndarray]=None) -> float:
"""Estimate expected... | 36.493421 | 152 | 0.650442 |
30393f74ae0c5c36f82aebb7e0b95f7f112a1231 | 1,133 | py | Python | data_parser.py | JanoHorvath/k-means-clustering | c84e858c3e2bb417ffea11d441797a15c659a7ee | [
"MIT"
] | null | null | null | data_parser.py | JanoHorvath/k-means-clustering | c84e858c3e2bb417ffea11d441797a15c659a7ee | [
"MIT"
] | null | null | null | data_parser.py | JanoHorvath/k-means-clustering | c84e858c3e2bb417ffea11d441797a15c659a7ee | [
"MIT"
] | null | null | null | from random import randint
| 33.323529 | 119 | 0.614298 |
303a0f7118c7766ed025bf5dc2723fe60db8bf3e | 623 | py | Python | backend/colleges/utils.py | cesko-digital/zacni-uc | 281c56aec5509d5dd8bbbd60f054ffcd9156609e | [
"MIT"
] | 4 | 2021-02-26T09:28:14.000Z | 2021-07-08T19:21:57.000Z | backend/colleges/utils.py | cesko-digital/zacni-uc | 281c56aec5509d5dd8bbbd60f054ffcd9156609e | [
"MIT"
] | 35 | 2021-01-27T08:38:59.000Z | 2021-12-13T19:42:38.000Z | backend/colleges/utils.py | cesko-digital/zacni-uc | 281c56aec5509d5dd8bbbd60f054ffcd9156609e | [
"MIT"
] | 5 | 2021-01-21T21:35:42.000Z | 2022-01-06T10:07:58.000Z | from openpyxl import load_workbook
def import_msmt_college_registry_xlsx(path, sheet_name):
"""
Import XLSX from https://regvssp.msmt.cz/registrvssp/cvslist.aspx
(list of colleges and faculties).
Parameters:
path -- path to XLSX file
sheet_name -- "ExportVS" or "ExportFakulty"
"""... | 25.958333 | 69 | 0.638844 |
303aea533163720c626b39e6c0bbce695a86963f | 16,358 | py | Python | tests/cases/matching_graph.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | tests/cases/matching_graph.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | tests/cases/matching_graph.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from mtrack.graphs import G1
from mtrack.evaluation.matching_graph import MatchingGraph
from mtrack.evaluation.voxel_skeleton import VoxelSkeleton
from comatch import match_components
import json
test_data_dir = "./data"
if __name__ == "__main__":
unittest.main()
| 38.399061 | 183 | 0.578127 |
303b9455bfc79c1d55b5b456a3c9a97a10ddaa26 | 5,706 | py | Python | act/qc/arm.py | jrobrien91/ACT | 604b93d75366d23029f89d88df9053d52825c214 | [
"BSD-3-Clause"
] | 9 | 2019-03-11T19:41:34.000Z | 2019-09-17T08:34:19.000Z | act/qc/arm.py | jrobrien91/ACT | 604b93d75366d23029f89d88df9053d52825c214 | [
"BSD-3-Clause"
] | 127 | 2019-03-18T12:24:17.000Z | 2020-01-06T20:53:06.000Z | act/qc/arm.py | jrobrien91/ACT | 604b93d75366d23029f89d88df9053d52825c214 | [
"BSD-3-Clause"
] | 15 | 2019-03-11T15:30:56.000Z | 2019-11-01T19:10:11.000Z | """
Functions specifically for working with QC/DQRs from
the Atmospheric Radiation Measurement Program (ARM).
"""
import datetime as dt
import numpy as np
import requests
from act.config import DEFAULT_DATASTREAM_NAME
def add_dqr_to_qc(
obj,
variable=None,
assessment='incorrect,suspect',
exclude=No... | 33.174419 | 91 | 0.608132 |
303cbb53a5783485cb968c141cc21be11daa907d | 1,458 | py | Python | tests/test_main_page.py | litovsky2/shop_test | a618f23debfb2efa6f1fceb7eff6443a10f0b11f | [
"Apache-2.0"
] | 1 | 2020-05-03T21:32:49.000Z | 2020-05-03T21:32:49.000Z | tests/test_main_page.py | litovsky2/shop_test | a618f23debfb2efa6f1fceb7eff6443a10f0b11f | [
"Apache-2.0"
] | 1 | 2020-07-01T11:12:02.000Z | 2020-07-01T11:12:02.000Z | tests/test_main_page.py | litovsky2/shop_test | a618f23debfb2efa6f1fceb7eff6443a10f0b11f | [
"Apache-2.0"
] | 2 | 2021-03-08T14:46:09.000Z | 2021-08-30T13:12:21.000Z | import allure
from common.constans import PrintedDress, PrintedSummerDress, Colors
| 37.384615 | 76 | 0.688615 |
303d67c6ff0813b9d6fd68be88e83d8ab918ad04 | 9,018 | py | Python | database/__init__.py | tclarkin/shread_dash | a45e2f2946c74526e69c087587676aaa4cb15fba | [
"CC0-1.0"
] | null | null | null | database/__init__.py | tclarkin/shread_dash | a45e2f2946c74526e69c087587676aaa4cb15fba | [
"CC0-1.0"
] | null | null | null | database/__init__.py | tclarkin/shread_dash | a45e2f2946c74526e69c087587676aaa4cb15fba | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 11:55:27 2021
Snow-Hydrology Repo for Evaluation, Analysis, and Decision-making Dashboard (shread_dash.py) Database Initialization
This is part of dashboard loading database and other data into memory. The data for the database relies on a series of
retrieval scripts ... | 37.732218 | 118 | 0.662009 |
303f583ef559b4b1aa620758bb07c4e72cd59ab1 | 730 | py | Python | simsimi.py | leoodz/discordsimsimi | a9623ee7495f225116219e5a290b4019f597f2d3 | [
"MIT"
] | null | null | null | simsimi.py | leoodz/discordsimsimi | a9623ee7495f225116219e5a290b4019f597f2d3 | [
"MIT"
] | null | null | null | simsimi.py | leoodz/discordsimsimi | a9623ee7495f225116219e5a290b4019f597f2d3 | [
"MIT"
] | null | null | null | import cloudscraper
import json
from bs4 import BeautifulSoup
from dotenv import load_dotenv
import os
scraper = cloudscraper.create_scraper()
load_dotenv('lang_code')
language = os.getenv("lang_code")
def simsimi(question):
'''
Function to make the HTTP request to the Simsimi API already with the message typed b... | 28.076923 | 142 | 0.712329 |
303f8a39fa8bc76e0faedd216816494e7f0cf74e | 357 | py | Python | scripts/test.py | germy/piprint | c4bf36ccf90cbce50ecae4e673b916f0b7a1b522 | [
"MIT"
] | null | null | null | scripts/test.py | germy/piprint | c4bf36ccf90cbce50ecae4e673b916f0b7a1b522 | [
"MIT"
] | null | null | null | scripts/test.py | germy/piprint | c4bf36ccf90cbce50ecae4e673b916f0b7a1b522 | [
"MIT"
] | null | null | null | import sys
write() | 22.3125 | 74 | 0.560224 |
30410df497a9a784faa007c73a850d77a1646952 | 523 | py | Python | auction_bid_tracker/api/serializers.py | Kelechukwu/auction-service | fac296178b67c6c8a54d37d861787fc523cc30fd | [
"MIT"
] | null | null | null | auction_bid_tracker/api/serializers.py | Kelechukwu/auction-service | fac296178b67c6c8a54d37d861787fc523cc30fd | [
"MIT"
] | 5 | 2020-06-05T20:17:05.000Z | 2021-09-22T18:17:53.000Z | auction_bid_tracker/api/serializers.py | Kelechukwu/auction-service | fac296178b67c6c8a54d37d861787fc523cc30fd | [
"MIT"
] | null | null | null | from rest_framework import serializers
from .models import Bid, Item, User
| 26.15 | 70 | 0.655832 |
3043145d544f46f022747e55bca435bd3cfd11fa | 133 | py | Python | src/a01/communication.py | mcardosos/adx-automation-client | d657ff85b0f0e408e5c64703c47798d164f49a35 | [
"MIT"
] | 3 | 2018-02-28T06:22:39.000Z | 2020-05-20T12:39:00.000Z | src/a01/communication.py | mcardosos/adx-automation-client | d657ff85b0f0e408e5c64703c47798d164f49a35 | [
"MIT"
] | 19 | 2018-02-26T21:13:43.000Z | 2018-05-02T16:33:35.000Z | src/a01/communication.py | mcardosos/adx-automation-client | d657ff85b0f0e408e5c64703c47798d164f49a35 | [
"MIT"
] | 6 | 2018-02-26T18:10:31.000Z | 2020-12-30T10:21:31.000Z | import requests
from a01.auth import A01Auth
session = requests.Session() # pylint: disable=invalid-name
session.auth = A01Auth()
| 19 | 60 | 0.766917 |
304744cf40637da26f72f55057da5c765cb35850 | 27,025 | py | Python | marketmodel/neuralsde.py | vicaws/neuralSDE-marketmodel | ffbc558fee273cbae81ffe9312fc878ba4d261d1 | [
"MIT"
] | 5 | 2021-08-19T15:24:08.000Z | 2022-03-09T07:11:41.000Z | marketmodel/neuralsde.py | vicaws/neuralSDE-marketmodel | ffbc558fee273cbae81ffe9312fc878ba4d261d1 | [
"MIT"
] | null | null | null | marketmodel/neuralsde.py | vicaws/neuralSDE-marketmodel | ffbc558fee273cbae81ffe9312fc878ba4d261d1 | [
"MIT"
] | 1 | 2021-11-10T07:55:06.000Z | 2021-11-10T07:55:06.000Z | """
Construct, train neural-SDE models and simulate trajectories from the learnt
models.
"""
# Copyright 2021 Sheng Wang.
# Affiliation: Mathematical Institute, University of Oxford
# Email: sheng.wang@maths.ox.ac.uk
import numpy as np
import os
import pandas as pd
import tensorflow as tf
import tensorflow_probabilit... | 35.006477 | 81 | 0.559704 |
304748bc2e685abf6332deae76ea083ce94212c7 | 2,641 | py | Python | Rock-paper-scissor/jokenpo.py | Thdahwache/python-learning-trail | 357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d | [
"MIT"
] | null | null | null | Rock-paper-scissor/jokenpo.py | Thdahwache/python-learning-trail | 357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d | [
"MIT"
] | null | null | null | Rock-paper-scissor/jokenpo.py | Thdahwache/python-learning-trail | 357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d | [
"MIT"
] | null | null | null | import random
pedra = '''
_______
---' ____)
(_____)
(_____)
(____)
---.__(___)
'''
papel = '''
_______
---' ____)____
______)
_______)
_______)
---.__________)
'''
tesoura = '''
_______
---' ____)____
______)
__________)
(____)
-... | 19.857143 | 99 | 0.584248 |
304a63e43cefe3d1aae18e577a8dfda944354797 | 133 | py | Python | Python/basic-py/exercise_13.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | 1 | 2020-10-12T18:33:22.000Z | 2020-10-12T18:33:22.000Z | Python/basic-py/exercise_13.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | null | null | null | Python/basic-py/exercise_13.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | null | null | null |
print(even_square_sum([1, 2, 3, 4, 5])) | 26.6 | 44 | 0.609023 |
304ae112f3d07172cbbce9d1b6a8739bf5926f0c | 1,304 | py | Python | generate_datajson/vaccine_data.py | a01sa01to/covid19-ibaraki | 83ae6a69bab2fc5d27af520d04820a57d4d93b13 | [
"MIT"
] | 47 | 2020-03-22T07:29:18.000Z | 2021-12-22T12:26:06.000Z | generate_datajson/vaccine_data.py | a01sa01to/covid19-ibaraki | 83ae6a69bab2fc5d27af520d04820a57d4d93b13 | [
"MIT"
] | 118 | 2020-03-26T15:32:36.000Z | 2021-12-29T12:45:20.000Z | generate_datajson/vaccine_data.py | a01sa01to/covid19-ibaraki | 83ae6a69bab2fc5d27af520d04820a57d4d93b13 | [
"MIT"
] | 24 | 2020-03-24T11:40:54.000Z | 2022-01-17T02:25:08.000Z | import json
file_content = []
with open('vaccine_data.ndjson', 'r', encoding="UTF-8") as f:
for row in f.readlines():
rowJson = json.loads(row.replace('\n',''))
if rowJson['prefecture'] == '08':
del rowJson['prefecture']
if not rowJson['medical_worker']:
del rowJson['medical_worker']
... | 31.047619 | 83 | 0.615798 |
304caab2fd293dcea3ce7502cec96c166db7a553 | 187 | py | Python | system/widget.py | ywchiao/shot | 4b7c55bdcca44d05e07fffa59fe4e23364032cb5 | [
"MIT"
] | null | null | null | system/widget.py | ywchiao/shot | 4b7c55bdcca44d05e07fffa59fe4e23364032cb5 | [
"MIT"
] | null | null | null | system/widget.py | ywchiao/shot | 4b7c55bdcca44d05e07fffa59fe4e23364032cb5 | [
"MIT"
] | 1 | 2020-03-27T02:07:27.000Z | 2020-03-27T02:07:27.000Z |
from .system import System
from logcat import LogCat
# widget.py
| 14.384615 | 43 | 0.663102 |
304dc6dc061f3fd518314469875101efde9ac522 | 461 | py | Python | mail1.py | SameerRao22/python | 62a0d7d6401152da4c5103668add13ca0f0fd8a3 | [
"bzip2-1.0.6"
] | null | null | null | mail1.py | SameerRao22/python | 62a0d7d6401152da4c5103668add13ca0f0fd8a3 | [
"bzip2-1.0.6"
] | null | null | null | mail1.py | SameerRao22/python | 62a0d7d6401152da4c5103668add13ca0f0fd8a3 | [
"bzip2-1.0.6"
] | null | null | null | import smtplib
user = input('Enter your gmail ')
password = input('Enter your password ')
receiver = input('Enter the receiver ')
msg = input('Enter the message ')
#num = input('Enter the number of emails you want to send ')
#x = 0
#x = int()
#num = int()
server = smtplib.SMTP('smtp.gmail.com', 587)
server.... | 25.611111 | 61 | 0.672451 |
304e5b0e47fffc531047a55b5185bd8c13cd32b6 | 820 | py | Python | narrative/models/notification.py | siq/narrative | ad3c3bd62725395f34241258cccccea80e8b1cae | [
"Linux-OpenIB"
] | null | null | null | narrative/models/notification.py | siq/narrative | ad3c3bd62725395f34241258cccccea80e8b1cae | [
"Linux-OpenIB"
] | null | null | null | narrative/models/notification.py | siq/narrative | ad3c3bd62725395f34241258cccccea80e8b1cae | [
"Linux-OpenIB"
] | null | null | null | '''
Created on Feb 4, 2015
@author: nirmal
'''
from scheme import current_timestamp
from spire.schema import *
from spire.mesh import Surrogate
__all__ = ('Notification',)
schema = Schema('narrative')
NotificationOwnerIDIndex = Index('notification_ownerid_idx', Notification.ownerid)
NotificationRe... | 26.451613 | 83 | 0.696341 |
30508657d97ad92eed583819ab3856787d5dae52 | 1,061 | py | Python | entity/messagerepo.py | LordOfNightmares/virtual-client-assistant | 772282434472fc44caac0cd21f972d6a5cc5c5b8 | [
"Apache-2.0"
] | null | null | null | entity/messagerepo.py | LordOfNightmares/virtual-client-assistant | 772282434472fc44caac0cd21f972d6a5cc5c5b8 | [
"Apache-2.0"
] | null | null | null | entity/messagerepo.py | LordOfNightmares/virtual-client-assistant | 772282434472fc44caac0cd21f972d6a5cc5c5b8 | [
"Apache-2.0"
] | null | null | null | from entity.message import Message
from .databaserepo import DatabaseRepo
| 31.205882 | 93 | 0.556079 |
3050a2a71fbaa2cae499a5720b624b2e3232480d | 8,896 | py | Python | login/l3/Python-Tkinter-Login-master/login.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | login/l3/Python-Tkinter-Login-master/login.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | login/l3/Python-Tkinter-Login-master/login.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | from tkinter import *
from tkinter import messagebox
from database import db
from client import client
from pprint import *
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
import matplotlib.dates as m... | 40.807339 | 165 | 0.625337 |
3051b98951c21bd4429d8c08c1c8331434412e69 | 4,431 | py | Python | eval_race.py | l11x0m7/AITeaching | 03e85afbcdcab7838d4c9b9e11ddc8225c3dfbb7 | [
"MIT"
] | null | null | null | eval_race.py | l11x0m7/AITeaching | 03e85afbcdcab7838d4c9b9e11ddc8225c3dfbb7 | [
"MIT"
] | 1 | 2019-12-01T10:47:30.000Z | 2019-12-01T10:47:30.000Z | eval_race.py | l11x0m7/AITeaching | 03e85afbcdcab7838d4c9b9e11ddc8225c3dfbb7 | [
"MIT"
] | null | null | null | import torch
import numpy as np
import os
import sys
from fairseq.data.data_utils import collate_tokens
from fairseq.models.roberta import RobertaModel
import time
roberta = RobertaModel.from_pretrained('checkpoints/', checkpoint_file='ck.pt', data_name_or_path='data/processed_RACE/')
roberta.eval()
eval_one_exa... | 59.08 | 1,546 | 0.672986 |
3052b87761414206a80d473cc44e97d3436908e3 | 5,043 | py | Python | src/utils/interface_audio_io.py | waverDeep/WaveBYOL | ab062c26598e0fa6ab8426498f9920048988b5c1 | [
"MIT"
] | 1 | 2022-03-15T00:00:57.000Z | 2022-03-15T00:00:57.000Z | src/utils/interface_audio_io.py | waverDeep/WaveBYOL | ab062c26598e0fa6ab8426498f9920048988b5c1 | [
"MIT"
] | null | null | null | src/utils/interface_audio_io.py | waverDeep/WaveBYOL | ab062c26598e0fa6ab8426498f9920048988b5c1 | [
"MIT"
] | null | null | null | import soundfile as sf
from tqdm import tqdm
import src.utils.interface_file_io as io
import librosa
import wave
import multiprocessing
import src.utils.interface_multiprocessing as mi
import torchaudio
import numpy as np
import torch.nn.functional as F
import torch
torchaudio.set_audio_backend("sox_io")
# The... | 36.810219 | 114 | 0.691652 |
3052bcfb77f4439da2dc55fb76a58f27be220c78 | 6,318 | py | Python | diffusion_utils/utils.py | GallagherCommaJack/diffusion-utils | 407e350ec62e204c10366afe66b793f1d1276c1e | [
"MIT"
] | 2 | 2022-01-16T16:16:52.000Z | 2022-03-01T11:51:35.000Z | diffusion_utils/utils.py | GallagherCommaJack/diffusion-utils | 407e350ec62e204c10366afe66b793f1d1276c1e | [
"MIT"
] | null | null | null | diffusion_utils/utils.py | GallagherCommaJack/diffusion-utils | 407e350ec62e204c10366afe66b793f1d1276c1e | [
"MIT"
] | null | null | null | import math
from typing import MutableSequence, Optional, TypeVar, Union
import torch
from torch import nn
from torch import Tensor
from torch.types import Number
from einops import repeat
T = TypeVar("T")
TensorSeq = MutableSequence[Tensor]
clamp_with_grad = ClampWithGrad.apply
def get_ddpm_schedu... | 25.893443 | 80 | 0.623932 |
3053b63c3b7a677ef567ccc253454ec06d5b2791 | 828 | py | Python | FB.py/blog.py | attia7/Test | c74f09816ba2e0798b0533e31ea8b72249dec598 | [
"MIT"
] | null | null | null | FB.py/blog.py | attia7/Test | c74f09816ba2e0798b0533e31ea8b72249dec598 | [
"MIT"
] | 11 | 2020-03-24T17:40:26.000Z | 2022-01-13T01:42:38.000Z | FB.py/blog.py | attia7/AttiaGit | c74f09816ba2e0798b0533e31ea8b72249dec598 | [
"MIT"
] | null | null | null |
blog1= Blog(title='python bisics', photo='https://images.pexels.com/photos/837140/pexels-photo-837140.jpeg',
name='Yasser',date='10-06-2019',content='Hello How r u ?')
blog2= Blog(title='python bisics', photo='https://images.pexels.com/photos/837140/pexels-photo-837140.jpeg',
name='Mohammed',date='11-16-1979',conte... | 29.571429 | 109 | 0.711353 |
3057879143c17360d6498f89a5f3db75d2469ccb | 4,075 | py | Python | modules/RetrieveResource.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 4 | 2019-03-26T15:54:35.000Z | 2021-05-27T13:18:43.000Z | modules/RetrieveResource.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 12 | 2019-04-23T14:45:04.000Z | 2022-03-17T09:40:04.000Z | modules/RetrieveResource.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 2 | 2019-06-15T17:21:14.000Z | 2021-05-14T18:35:18.000Z | import logging
from modules.common.GoogleBucketResource import GoogleBucketResource
from modules.common.Utils import Utils
from modules.common import create_output_dir, remove_output_dir
from yapsy.PluginManager import PluginManager
from definitions import PIS_OUTPUT_DIR
logger = logging.getLogger(__name__)
| 43.351064 | 117 | 0.690307 |
305a285236c3e11d999251641ede1bf722d4ce33 | 211 | py | Python | web/app/conf/__init__.py | kvikshaug/btc.kvikshaug.no | a353096db9edf7ef0aa44e77c367c96b73fbfe6f | [
"Unlicense"
] | null | null | null | web/app/conf/__init__.py | kvikshaug/btc.kvikshaug.no | a353096db9edf7ef0aa44e77c367c96b73fbfe6f | [
"Unlicense"
] | null | null | null | web/app/conf/__init__.py | kvikshaug/btc.kvikshaug.no | a353096db9edf7ef0aa44e77c367c96b73fbfe6f | [
"Unlicense"
] | null | null | null | import importlib
import os
conf_module = importlib.import_module("conf.%s" % os.environ['CONFIGURATION'])
settings = {
key: getattr(conf_module, key)
for key in dir(conf_module)
if key.isupper()
}
| 19.181818 | 78 | 0.706161 |
305fb866531bf4803870ee45e5b57b07d815bff0 | 694 | py | Python | swiper/user/models.py | Han-spros/swiper | 47590fe930ff22cbdf837b896c767bc42124ff54 | [
"MIT"
] | null | null | null | swiper/user/models.py | Han-spros/swiper | 47590fe930ff22cbdf837b896c767bc42124ff54 | [
"MIT"
] | null | null | null | swiper/user/models.py | Han-spros/swiper | 47590fe930ff22cbdf837b896c767bc42124ff54 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here. | 38.555556 | 86 | 0.654179 |
30608fa48d5c9db3434a2558d2ebd1e7a3ae3040 | 1,696 | py | Python | probs/discrete/negative_binomial.py | TylerYep/probs | feb46808bd7fe324f78642b581d6117fd6fedca4 | [
"MIT"
] | null | null | null | probs/discrete/negative_binomial.py | TylerYep/probs | feb46808bd7fe324f78642b581d6117fd6fedca4 | [
"MIT"
] | null | null | null | probs/discrete/negative_binomial.py | TylerYep/probs | feb46808bd7fe324f78642b581d6117fd6fedca4 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from scipy.stats import nbinom # type: ignore[import]
from probs.discrete.rv import DiscreteRV
| 30.836364 | 80 | 0.646816 |
3062f03e110c5a790e2aa16881b269fc800f6f09 | 2,513 | py | Python | baidu_API.py | spencerpomme/coconuts-on-fire | 407d61b3583c472707a4e7b077a9a3ab12743996 | [
"Apache-2.0"
] | 1 | 2015-04-23T11:43:26.000Z | 2015-04-23T11:43:26.000Z | baidu_API.py | spencerpomme/coconuts-on-fire | 407d61b3583c472707a4e7b077a9a3ab12743996 | [
"Apache-2.0"
] | null | null | null | baidu_API.py | spencerpomme/coconuts-on-fire | 407d61b3583c472707a4e7b077a9a3ab12743996 | [
"Apache-2.0"
] | null | null | null | #!python3
"""
A simple script that uses Baidu Place API to search certain kinds of place
in a range of circular space.
This API can be called maximum 2000 times per day.
"""
import requests, json
# import psycopg2
mykey = "IniXfqhsWAyZQpkmh5FtEVv0" # my developer key
city = ""
place = ""
coor1 = (39.915, 116.404)
c... | 23.707547 | 78 | 0.634302 |
3063873cf1d375e656a6b627f5a8d2ac1ba1cb4a | 2,293 | py | Python | src/models/evaluate_model.py | ThordurPall/MLOpsExercises- | 8714d83477f6132893b74675e529bfeef13ece85 | [
"MIT"
] | null | null | null | src/models/evaluate_model.py | ThordurPall/MLOpsExercises- | 8714d83477f6132893b74675e529bfeef13ece85 | [
"MIT"
] | null | null | null | src/models/evaluate_model.py | ThordurPall/MLOpsExercises- | 8714d83477f6132893b74675e529bfeef13ece85 | [
"MIT"
] | 1 | 2021-06-11T12:38:38.000Z | 2021-06-11T12:38:38.000Z | # -*- coding: utf-8 -*-
import logging
from pathlib import Path
import click
import torch
from classifier import Classifier
from torchvision import datasets, transforms
if __name__ == '__main__':
log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logging.basicConfig(level=logging.INFO, format=l... | 35.276923 | 78 | 0.645007 |
3066e6439632008223c0fd046661610d442765bc | 4,681 | py | Python | package/statistics.py | vohoaiviet/PyReID | f13986a6a14bf263383ec97c64ede314aca40426 | [
"MIT"
] | 14 | 2015-11-23T16:26:58.000Z | 2019-10-02T07:47:09.000Z | package/statistics.py | Luigolas/PyReid | f13986a6a14bf263383ec97c64ede314aca40426 | [
"MIT"
] | null | null | null | package/statistics.py | Luigolas/PyReid | f13986a6a14bf263383ec97c64ede314aca40426 | [
"MIT"
] | 8 | 2016-08-06T05:45:48.000Z | 2022-02-05T06:21:26.000Z | __author__ = 'luigolas'
import numpy as np
from scipy.stats import cumfreq
| 37.150794 | 120 | 0.58919 |
30679d7bee3f8456ed467600e053b128e8b6036a | 49 | py | Python | gather_agent/handlers/__init__.py | burmanm/gather_agent | 37d9eb80cf717d12a132ff1c98a0c80eeeaa5a66 | [
"Apache-2.0"
] | null | null | null | gather_agent/handlers/__init__.py | burmanm/gather_agent | 37d9eb80cf717d12a132ff1c98a0c80eeeaa5a66 | [
"Apache-2.0"
] | null | null | null | gather_agent/handlers/__init__.py | burmanm/gather_agent | 37d9eb80cf717d12a132ff1c98a0c80eeeaa5a66 | [
"Apache-2.0"
] | null | null | null | from rhqmetrics_handler import RHQMetricsHandler
| 24.5 | 48 | 0.918367 |
3068043469fb1de1fd2079110d1f76aaf77142ca | 3,253 | py | Python | adminwindow.py | gaurav0810-ga/Spot-Counselling-Management-System | 34dffa34f1ffe016a912dc3cfcba6cd3f74eee18 | [
"Apache-2.0"
] | null | null | null | adminwindow.py | gaurav0810-ga/Spot-Counselling-Management-System | 34dffa34f1ffe016a912dc3cfcba6cd3f74eee18 | [
"Apache-2.0"
] | null | null | null | adminwindow.py | gaurav0810-ga/Spot-Counselling-Management-System | 34dffa34f1ffe016a912dc3cfcba6cd3f74eee18 | [
"Apache-2.0"
] | null | null | null | from tkinter import*
#=====importing self created module which will show the registartion form=======#
import registrationform
#=====importing self created module which will help in deleting student record from data base======#
import deletestudent
#=============importing selfcreated update student record ========... | 61.377358 | 204 | 0.670765 |
30696989ca682d46c351e2a46bb6af6c82145eb0 | 3,443 | py | Python | Shop/forms.py | KumarSantosh22/TheShoppingCArt | e2e2f5c80f6d8a1c418c16ed95ada39b3b3bd502 | [
"FTL"
] | null | null | null | Shop/forms.py | KumarSantosh22/TheShoppingCArt | e2e2f5c80f6d8a1c418c16ed95ada39b3b3bd502 | [
"FTL"
] | null | null | null | Shop/forms.py | KumarSantosh22/TheShoppingCArt | e2e2f5c80f6d8a1c418c16ed95ada39b3b3bd502 | [
"FTL"
] | 3 | 2021-04-28T07:49:40.000Z | 2021-04-28T17:59:13.000Z | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Customer, Seller, Product, Order
| 40.988095 | 137 | 0.639559 |
3069d018acdd28b4231703721ede5dfa5cd4942f | 4,665 | py | Python | dnachisel/builtin_specifications/AvoidBlastMatches.py | simone-pignotti/DnaChisel | b7f0f925c9daefcc5fec903a13cfa74c3b726a7a | [
"MIT"
] | 124 | 2017-11-14T14:42:25.000Z | 2022-03-31T08:02:07.000Z | dnachisel/builtin_specifications/AvoidBlastMatches.py | simone-pignotti/DnaChisel | b7f0f925c9daefcc5fec903a13cfa74c3b726a7a | [
"MIT"
] | 65 | 2017-11-15T07:25:38.000Z | 2022-01-31T10:38:45.000Z | dnachisel/builtin_specifications/AvoidBlastMatches.py | simone-pignotti/DnaChisel | b7f0f925c9daefcc5fec903a13cfa74c3b726a7a | [
"MIT"
] | 31 | 2018-10-18T12:59:47.000Z | 2022-02-11T16:54:43.000Z | """Implementation of AvoidBlastMatches."""
from ..Specification import Specification, SpecEvaluation
# from .VoidSpecification import VoidSpecification
from ..biotools import blast_sequence
from ..Location import Location
| 30.690789 | 78 | 0.609003 |
3069d773ef41f354c54cc922824a8eac7764671a | 8,769 | py | Python | filesysdb/__init__.py | fictorial/filesysdb | bbf1e32218b71c7c15c33ada660433fffc6fa6ab | [
"MIT"
] | 2 | 2016-06-25T16:07:09.000Z | 2020-01-18T01:56:30.000Z | filesysdb/__init__.py | fictorial/filesysdb | bbf1e32218b71c7c15c33ada660433fffc6fa6ab | [
"MIT"
] | null | null | null | filesysdb/__init__.py | fictorial/filesysdb | bbf1e32218b71c7c15c33ada660433fffc6fa6ab | [
"MIT"
] | null | null | null | from aadict import aadict
from cachetools import LRUCache
import ujson as json
import regex
from shortuuid import uuid
from functools import wraps
from glob import glob
from time import time
import logging
import os
import shutil
import unicodedata
_logger = logging.getLogger(__name__)
_basepath = None
_serialize =... | 30.134021 | 73 | 0.655149 |
306ba668c7b411ccfc244e0a763013d6e68ac1a9 | 171 | py | Python | ex049.py | vinisantos7/PythonExercicios | bc8f38e03a606d6b0216632a93affeab0792e534 | [
"MIT"
] | 2 | 2021-11-04T21:09:11.000Z | 2021-11-08T09:42:10.000Z | ex049.py | vinisantos7/PythonExercicios | bc8f38e03a606d6b0216632a93affeab0792e534 | [
"MIT"
] | null | null | null | ex049.py | vinisantos7/PythonExercicios | bc8f38e03a606d6b0216632a93affeab0792e534 | [
"MIT"
] | null | null | null | print("x"*25)
print("Bem-Vindo a Tabuada v2.0")
print("x"*25)
n = int(input("Digite um nmero para a tabuada: "))
for t in range(1, 11):
print(f"{n} x {t:2} = {n*t}") | 24.428571 | 51 | 0.590643 |
306c66581ea850b95ab997fea6a54ccae480729d | 149 | py | Python | Term 2/1-5-problem.py | theseana/miniatur | eed89de0b1e0b96bb32067d5c049c6fd4ca5f872 | [
"MIT"
] | 1 | 2022-01-16T00:30:43.000Z | 2022-01-16T00:30:43.000Z | Term 2/1-5-problem.py | theseana/miniatur | eed89de0b1e0b96bb32067d5c049c6fd4ca5f872 | [
"MIT"
] | null | null | null | Term 2/1-5-problem.py | theseana/miniatur | eed89de0b1e0b96bb32067d5c049c6fd4ca5f872 | [
"MIT"
] | null | null | null | n1=17
n2=28
if n1>n2:
print('n1 bozorgtar az n2')
elif n1<n2:
print('n2 bozorgtar az n1')
elif n1==n2:
print('n1 va n2 barabar hastand')
| 16.555556 | 37 | 0.637584 |
306d9087bb69542cb8af6dee2a42b1098927e7a0 | 1,192 | py | Python | packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py | colinRawlings/osparc-simcore | bf2f18d5bc1e574d5f4c238d08ad15156184c310 | [
"MIT"
] | 25 | 2018-04-13T12:44:12.000Z | 2022-03-12T15:01:17.000Z | packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py | colinRawlings/osparc-simcore | bf2f18d5bc1e574d5f4c238d08ad15156184c310 | [
"MIT"
] | 2,553 | 2018-01-18T17:11:55.000Z | 2022-03-31T16:26:40.000Z | packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | 20 | 2018-01-18T19:45:33.000Z | 2022-03-29T07:08:47.000Z | """Adds table for scicrunch rrids
Revision ID: 39fa67f45cc0
Revises: 3452ca7b13e9
Create Date: 2020-12-15 18:16:03.581479+00:00
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "39fa67f45cc0"
down_revision = "3452ca7b13e9"
branch_labels = None
depends_on = None
... | 25.913043 | 65 | 0.605705 |
307114b26313aa3265e1bd2c48447893e64378ae | 2,541 | py | Python | conexionbasedato.py | feedesa/MyPythonScripts | 66f06f9d44ea6c76cfadb1a620bb468176beefe0 | [
"MIT"
] | null | null | null | conexionbasedato.py | feedesa/MyPythonScripts | 66f06f9d44ea6c76cfadb1a620bb468176beefe0 | [
"MIT"
] | null | null | null | conexionbasedato.py | feedesa/MyPythonScripts | 66f06f9d44ea6c76cfadb1a620bb468176beefe0 | [
"MIT"
] | null | null | null | import pymysql
from tkinter import messagebox
# bbdd= pymysql.connect( host= "localhost", user= "root", passwd="", db= "ejemplo1")
# cursor= bbdd.cursor()
# cursor.execute("DELETE FROM SOCIOS WHERE ID= 3")
# bbdd.commit()
# bbdd.close()
# bbdd= pymysql.connect( host= "localhost", user= "root", passw... | 21 | 104 | 0.547816 |
30713a8fbba0af913226f90bffb00ec0ccd49f74 | 1,420 | py | Python | HLTrigger/Configuration/python/Tools/dasFileQuery.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | HLTrigger/Configuration/python/Tools/dasFileQuery.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | HLTrigger/Configuration/python/Tools/dasFileQuery.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import sys
import json
import das_client
| 39.444444 | 86 | 0.554225 |
3073c042c76656cc6f035106fb8e66424b847e5f | 477 | py | Python | 00-modules/builtin_modules/pickle_examples.py | cccaaannn/useful_functions | 1570cda8c642a39f04ed9f22ebeeab2bfb9e9424 | [
"MIT"
] | null | null | null | 00-modules/builtin_modules/pickle_examples.py | cccaaannn/useful_functions | 1570cda8c642a39f04ed9f22ebeeab2bfb9e9424 | [
"MIT"
] | null | null | null | 00-modules/builtin_modules/pickle_examples.py | cccaaannn/useful_functions | 1570cda8c642a39f04ed9f22ebeeab2bfb9e9424 | [
"MIT"
] | null | null | null | import pickle
# pickle can serialize python objects
data = {1:"hi", 2: "there"}
# convert to byte
byte_data = pickle.dumps(data)
# convert back to python object
data2 = pickle.loads(byte_data)
# ----------using with files----------
filename = ""
# write to a file
pickle.dump(data, open(filename, "wb" ))
with op... | 17.666667 | 58 | 0.677149 |
30750377e92de60cf64b84cb659e89e05ec986a3 | 4,676 | py | Python | appsite/scripts/cactus/loaddb.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | 3 | 2020-10-22T06:18:17.000Z | 2021-03-19T16:49:00.000Z | appsite/scripts/cactus/loaddb.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | 11 | 2019-11-01T23:04:31.000Z | 2022-02-10T12:32:11.000Z | appsite/scripts/cactus/loaddb.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | null | null | null | from os import sys, path
from resolver.models import *
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
sys.path.append('/home/app')
from client.lib.cactus_client import CactusClient
| 27.833333 | 111 | 0.594311 |
307806ce04eed5ab7fc2db0bbc77902ec9abf704 | 180 | py | Python | Jarvis/features/launch_app.py | HezyCB/JARVIS-2 | aa3ba0aa2f4595c48e0bd18211c65a0569684eb4 | [
"MIT"
] | 76 | 2021-02-03T14:44:27.000Z | 2022-03-28T04:39:36.000Z | Jarvis/features/launch_app.py | HezyCB/JARVIS-2 | aa3ba0aa2f4595c48e0bd18211c65a0569684eb4 | [
"MIT"
] | 9 | 2021-03-25T03:17:36.000Z | 2022-03-19T19:24:42.000Z | Jarvis/features/launch_app.py | HezyCB/JARVIS-2 | aa3ba0aa2f4595c48e0bd18211c65a0569684eb4 | [
"MIT"
] | 77 | 2021-03-06T08:10:36.000Z | 2022-03-25T16:10:05.000Z | import subprocess | 20 | 38 | 0.627778 |
307b3ba6e61f0edd61df95b0af94e845aa5436e7 | 418 | py | Python | django-rest-framework-fast/api/v2/views.py | mervatkheir/kite-python-blog-post-code | 9a331e5d327cd27c6ecd72926f3e74afd252efb5 | [
"MIT"
] | 238 | 2018-10-10T18:50:40.000Z | 2022-02-09T21:26:24.000Z | django-rest-framework-fast/api/v2/views.py | mrrizal/kite-python-blog-post-code | 597f2d75b2ad5dda97e9b19f6e9c7195642e1739 | [
"MIT"
] | 38 | 2019-12-04T22:42:45.000Z | 2022-03-12T00:04:57.000Z | django-rest-framework-fast/api/v2/views.py | mrrizal/kite-python-blog-post-code | 597f2d75b2ad5dda97e9b19f6e9c7195642e1739 | [
"MIT"
] | 154 | 2018-11-11T22:48:09.000Z | 2022-03-22T07:12:18.000Z | from characters.models import Character
from characters.serializers import CharacterSerializer
from rest_framework import generics
| 29.857143 | 65 | 0.832536 |
307b75907e2ef43110ad5b30dc9de4dad44b596b | 1,454 | py | Python | misago/acl/admin.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | 1 | 2017-07-25T03:04:36.000Z | 2017-07-25T03:04:36.000Z | misago/acl/admin.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | null | null | null | misago/acl/admin.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.utils.translation import ugettext_lazy as _
from .views import DeleteRole, EditRole, NewRole, RolesList, RoleUsers
| 37.282051 | 79 | 0.586657 |
307c7a8c88bf6ef5840be4d2b400a14178b101d4 | 5,138 | py | Python | src/visualization.py | DianaTaukin/DSD-SATN | 5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312 | [
"Apache-2.0"
] | 71 | 2020-04-06T08:23:30.000Z | 2022-03-21T03:40:11.000Z | src/visualization.py | DianaTaukin/DSD-SATN | 5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312 | [
"Apache-2.0"
] | 10 | 2020-04-11T14:45:52.000Z | 2021-08-19T04:44:13.000Z | src/visualization.py | DianaTaukin/DSD-SATN | 5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312 | [
"Apache-2.0"
] | 8 | 2020-05-19T12:18:49.000Z | 2022-03-22T08:04:27.000Z | from base import *
import utils.neuralrenderer_render as nr
| 49.883495 | 194 | 0.571039 |
307f461b2850c76795bf48a0896004e467675d49 | 455 | py | Python | proxy/test/test_proxy.py | SFFReganDowling/test | c141daca395585710e5ff335e96ffd23ce9c71bb | [
"MIT"
] | 3 | 2015-11-26T11:44:57.000Z | 2021-12-07T18:08:53.000Z | proxy/test/test_proxy.py | SFFReganDowling/test | c141daca395585710e5ff335e96ffd23ce9c71bb | [
"MIT"
] | 5 | 2016-04-22T10:06:41.000Z | 2022-02-27T02:53:10.000Z | proxy/test/test_proxy.py | SFFReganDowling/test | c141daca395585710e5ff335e96ffd23ce9c71bb | [
"MIT"
] | null | null | null | import wsgiref.util
import flask
from proxy import proxy
# pylint: disable=W0212
| 21.666667 | 64 | 0.674725 |
307fe557fde0d2f4724e816d89631bf4c19e5543 | 186 | py | Python | 6-distinct-values-v1/mapper_2.py | mikhaildruzhinin/stepik-hadoop | 739413ffeeb3e04c5675c3c126a45eb3f24914d4 | [
"MIT"
] | null | null | null | 6-distinct-values-v1/mapper_2.py | mikhaildruzhinin/stepik-hadoop | 739413ffeeb3e04c5675c3c126a45eb3f24914d4 | [
"MIT"
] | null | null | null | 6-distinct-values-v1/mapper_2.py | mikhaildruzhinin/stepik-hadoop | 739413ffeeb3e04c5675c3c126a45eb3f24914d4 | [
"MIT"
] | null | null | null | import sys
if __name__ == '__main__':
main()
| 14.307692 | 46 | 0.505376 |
3080c9c3e2fa02a8d02d8a5c53a2bd5e45b99323 | 6,756 | py | Python | exps/jets/top_quark_gbdt.py | ranigb/Set-Tree | fa3971f9a8ef98dbfd0f6de654efcde3006a197b | [
"MIT"
] | 17 | 2021-07-26T01:03:59.000Z | 2022-01-23T10:31:56.000Z | exps/jets/top_quark_gbdt.py | ranigb/Set-Tree | fa3971f9a8ef98dbfd0f6de654efcde3006a197b | [
"MIT"
] | 2 | 2021-12-10T09:53:48.000Z | 2022-01-25T17:08:41.000Z | exps/jets/top_quark_gbdt.py | ranigb/Set-Tree | fa3971f9a8ef98dbfd0f6de654efcde3006a197b | [
"MIT"
] | 3 | 2021-09-14T11:39:35.000Z | 2022-01-23T06:51:48.000Z | import os
import numpy as np
import argparse
import logging
import random
import pickle
from pprint import pformat
from exps.data import ParticleNetDataset
from settree.set_data import SetDataset, OPERATIONS, merge_init_datasets
import exps.eval_utils as eval
from exps.eval_utils import create_logger
data_root = '/ho... | 43.87013 | 112 | 0.568532 |
061872db87a6479a4c69671bb3e56ad3b315b346 | 152 | py | Python | pyblnet/__init__.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | null | null | null | pyblnet/__init__.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | null | null | null | pyblnet/__init__.py | henfri/pyblnet | 0a3a59ea39ab569d4b59be5a918736dc238bcf13 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .blnet_web import BLNETWeb, test_blnet
from .blnet_conn import BLNETDirect
from .blnet import BLNET
| 21.714286 | 43 | 0.743421 |
0618cfbdfa965d703fa909c1b6226865c210caa9 | 452 | py | Python | fda-analyse-service/dropMDB.py | fair-data-austria/dbrepo | 642daec21a1c845c78d56d7d812523f1d1835531 | [
"CC-BY-4.0"
] | 5 | 2021-06-12T13:03:25.000Z | 2022-03-14T11:16:04.000Z | fda-analyse-service/dropMDB.py | fair-data-austria/dbrepo | 642daec21a1c845c78d56d7d812523f1d1835531 | [
"CC-BY-4.0"
] | null | null | null | fda-analyse-service/dropMDB.py | fair-data-austria/dbrepo | 642daec21a1c845c78d56d7d812523f1d1835531 | [
"CC-BY-4.0"
] | null | null | null | from psycopg2 import connect
import requests
import json
r = requests.get(
"http://localhost:9091/api/getDatabaseContainerByContainerID",
params = {"containerID":"Metadatabase"}
)
r.json()
conn=connect(
dbname="metadatabase",
user = "postgres",
host = r.json()['IpAddress'],
password = "postgr... | 17.384615 | 64 | 0.692478 |
0619dcc1160c6a4dfdbc2934437079b0ef6afaf8 | 395 | py | Python | setup.py | JurgenPalsma/dc-generator | 2df92be5d1061864ee654eb413bdd08e599bc3dd | [
"MIT"
] | 12 | 2020-03-26T13:53:27.000Z | 2022-03-26T16:26:20.000Z | setup.py | JurgenPalsma/dc-generator | 2df92be5d1061864ee654eb413bdd08e599bc3dd | [
"MIT"
] | null | null | null | setup.py | JurgenPalsma/dc-generator | 2df92be5d1061864ee654eb413bdd08e599bc3dd | [
"MIT"
] | 7 | 2019-02-23T12:25:10.000Z | 2021-12-09T07:20:13.000Z | from setuptools import setup
setup(name='dcgenerator',
version='0.1',
description='Generate dc events from time series',
url='https://github.com/JurgenPalsma/dcgenerator',
author='Flying Circus',
author_email='jurgen.palsma@gmail.com',
license='MIT',
packages=['dcgenerator'],
... | 28.214286 | 56 | 0.63038 |
061a89369cd09d094301833ef16484b3a48346f9 | 2,801 | py | Python | wonk/config.py | cjduffett/wonk | 7ee7d6e444497cb91901ed4bd6de53d5aa574963 | [
"Apache-2.0"
] | 103 | 2021-09-25T03:03:32.000Z | 2022-03-20T19:13:48.000Z | wonk/config.py | cjduffett/wonk | 7ee7d6e444497cb91901ed4bd6de53d5aa574963 | [
"Apache-2.0"
] | null | null | null | wonk/config.py | cjduffett/wonk | 7ee7d6e444497cb91901ed4bd6de53d5aa574963 | [
"Apache-2.0"
] | 6 | 2021-09-27T17:50:23.000Z | 2022-02-15T22:44:12.000Z | """Manage Wonk's configuration."""
import pathlib
from typing import Any, Dict, List
import yaml
from pydantic import BaseModel
from toposort import toposort_flatten # type: ignore
from wonk.exceptions import UnknownParentError
def load_config(config_path: pathlib.Path = None) -> Config:
"""Load a configura... | 30.11828 | 98 | 0.672617 |
061be587da4bb712ec3ad5fa16ba9684df1988f9 | 5,325 | py | Python | models/quantize_utils.py | ARM-software/sesr | 26dd727996809fe13efb0c0f137f259c1b2d0f6e | [
"Apache-2.0"
] | 25 | 2021-11-08T12:48:09.000Z | 2022-03-29T02:56:18.000Z | models/quantize_utils.py | ARM-software/sesr | 26dd727996809fe13efb0c0f137f259c1b2d0f6e | [
"Apache-2.0"
] | 12 | 2021-10-04T05:59:56.000Z | 2022-03-29T06:06:17.000Z | models/quantize_utils.py | ARM-software/sesr | 26dd727996809fe13efb0c0f137f259c1b2d0f6e | [
"Apache-2.0"
] | 6 | 2021-11-26T09:27:18.000Z | 2022-02-24T14:52:01.000Z | # Copyright 2021 Arm Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 40.037594 | 105 | 0.637934 |
061ff9f824e772b63623e52f1ce6ebb062cf98da | 3,192 | py | Python | sorting/sorting_train.py | soumen-chakrabarti/gumbel_sinkhorn | aedf8adbc7f123821374da84a23e51d3a0cf54c5 | [
"Apache-2.0"
] | 65 | 2017-09-24T19:38:34.000Z | 2022-01-18T16:07:05.000Z | sorting/sorting_train.py | soumen-chakrabarti/gumbel_sinkhorn | aedf8adbc7f123821374da84a23e51d3a0cf54c5 | [
"Apache-2.0"
] | null | null | null | sorting/sorting_train.py | soumen-chakrabarti/gumbel_sinkhorn | aedf8adbc7f123821374da84a23e51d3a0cf54c5 | [
"Apache-2.0"
] | 22 | 2017-10-01T12:55:38.000Z | 2022-01-13T19:33:15.000Z | # Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 35.466667 | 79 | 0.635965 |
0624b48ea9d4dc4aaa2193d16b26d5a5663fbaf2 | 1,578 | py | Python | tests/cli_test.py | chineseluo/opensourcetest | b0d222c8b29ff8f70a740ac2b1588a437d41b761 | [
"Apache-2.0"
] | 69 | 2020-10-20T14:25:49.000Z | 2022-02-18T02:50:20.000Z | tests/cli_test.py | aoozoo/opensourcetest | 6eaff706c9397847834ef3eef7ad57d5b7f5c5a3 | [
"Apache-2.0"
] | 6 | 2020-11-23T06:56:09.000Z | 2022-03-16T04:33:53.000Z | tests/cli_test.py | aoozoo/opensourcetest | 6eaff706c9397847834ef3eef7ad57d5b7f5c5a3 | [
"Apache-2.0"
] | 8 | 2021-02-01T03:23:20.000Z | 2022-02-18T02:50:47.000Z | #!/user/bin/env python
# -*- coding: utf-8 -*-
"""
------------------------------------
@Project : opensourcetest
@Time : 2020/11/12 15:01
@Auth : chineseluo
@Email : 848257135@qq.com
@File : cli_test.py
@IDE : PyCharm
------------------------------------
"""
import os
import sys
import unittest
from op... | 27.684211 | 49 | 0.591255 |
0625d68871943fd8a255cbe675fa3fb3bffccaf0 | 2,364 | py | Python | multicast_client.py | mmuravytskyi/multiprotocol-chat | 1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9 | [
"MIT"
] | null | null | null | multicast_client.py | mmuravytskyi/multiprotocol-chat | 1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9 | [
"MIT"
] | 2 | 2021-05-28T10:56:22.000Z | 2021-05-28T10:56:35.000Z | multicast_client.py | mmuravytskyi/multiprotocol-chat | 1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9 | [
"MIT"
] | 1 | 2021-12-31T15:08:27.000Z | 2021-12-31T15:08:27.000Z | import socket
import struct
import config
import json
import threading
import random
if __name__ == '__main__':
port = random.randint(50_000, 65_000)
# pass selected port to the TCP thread, in order to listen on the same port
# thread in the background as daemon
th = threading.Thread(target=tcp_hand... | 32.383562 | 94 | 0.629019 |
0626ef011bc905ed25a0243ba65749c5fcdfec23 | 18,567 | py | Python | utils/utils_data_association.py | zineanteoh/I24-trajectory-generation | ef0b5160923b87187f65f40da89f7349182dedce | [
"MIT"
] | null | null | null | utils/utils_data_association.py | zineanteoh/I24-trajectory-generation | ef0b5160923b87187f65f40da89f7349182dedce | [
"MIT"
] | null | null | null | utils/utils_data_association.py | zineanteoh/I24-trajectory-generation | ef0b5160923b87187f65f40da89f7349182dedce | [
"MIT"
] | null | null | null | import numpy as np
import torch
from collections import defaultdict, deque, OrderedDict
import heapq
from data_structures import DoublyLinkedList, UndirectedGraph,Fragment
import time
import sys
loss = torch.nn.GaussianNLLLoss()
def stitch_objects_tsmn_online_2(o, THRESHOLD_MAX=3, VARX=0.03, ... | 41.817568 | 149 | 0.522271 |
06274af203a120ff736b3555a30e9a1003120ec1 | 4,324 | py | Python | BlenderAddon/game_gamekit/config.py | slagusev/gamekit | a6e97fcf2a9c3b9b9799bc12c3643818503ffc7d | [
"MIT"
] | 1 | 2017-01-16T11:53:44.000Z | 2017-01-16T11:53:44.000Z | BlenderAddon/game_gamekit/config.py | slagusev/gamekit | a6e97fcf2a9c3b9b9799bc12c3643818503ffc7d | [
"MIT"
] | null | null | null | BlenderAddon/game_gamekit/config.py | slagusev/gamekit | a6e97fcf2a9c3b9b9799bc12c3643818503ffc7d | [
"MIT"
] | null | null | null | #Copyright (c) 2010 harkon.kr
#
# ***** BEGIN MIT LICENSE BLOCK *****
#
#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... | 30.885714 | 78 | 0.563136 |
06277cec3797e9fe624139a04c8d08693f4a94d7 | 5,063 | py | Python | app/models/__init__.py | LIhDi/python-atendimento-agendamento-back-end | affb722440678415d1d6293e84be3f1743c915b7 | [
"MIT"
] | null | null | null | app/models/__init__.py | LIhDi/python-atendimento-agendamento-back-end | affb722440678415d1d6293e84be3f1743c915b7 | [
"MIT"
] | null | null | null | app/models/__init__.py | LIhDi/python-atendimento-agendamento-back-end | affb722440678415d1d6293e84be3f1743c915b7 | [
"MIT"
] | null | null | null | from enum import Enum
| 35.405594 | 109 | 0.635197 |
06282a67e7f0b15f67df455cc6ff5d4a87a91f5b | 550 | py | Python | 2018/day01.py | leandrocoding/aoc | 8e7d072d2302fcdec3bd441970ccf81d1479f1ef | [
"MIT"
] | 1 | 2020-12-31T13:32:52.000Z | 2020-12-31T13:32:52.000Z | 2018/day01.py | leandrocoding/aoc | 8e7d072d2302fcdec3bd441970ccf81d1479f1ef | [
"MIT"
] | null | null | null | 2018/day01.py | leandrocoding/aoc | 8e7d072d2302fcdec3bd441970ccf81d1479f1ef | [
"MIT"
] | null | null | null | import os
path = os.path.join(os.path.dirname(__file__), 'day01.txt')
with open(path) as f:
inputdata = f.readlines()
print(f"\nAOC 2018 Day 01: \n")
print(f"Part 1: {part1()}")
print(f"Part 2: {part2()}") | 21.153846 | 59 | 0.56 |
062887e67ee371cc8403b61489299bbce2f354a5 | 2,259 | py | Python | setup.py | abhijithneilabraham/signs | 1ce8f6fe5468ec9a69d2d29646be3b3e400879d2 | [
"MIT"
] | 13 | 2018-06-22T21:30:28.000Z | 2022-01-26T20:58:24.000Z | setup.py | abhijithneilabraham/signs | 1ce8f6fe5468ec9a69d2d29646be3b3e400879d2 | [
"MIT"
] | 13 | 2018-07-29T14:41:52.000Z | 2022-02-09T08:22:27.000Z | setup.py | abhijithneilabraham/signs | 1ce8f6fe5468ec9a69d2d29646be3b3e400879d2 | [
"MIT"
] | 3 | 2018-08-06T06:42:39.000Z | 2022-02-10T14:53:02.000Z | #! /usr/bin/env python
#
# Copyright (C) 2018 Mikko Kotila
import os
DESCRIPTION = "Signs Text Processing for Deep Learning"
LONG_DESCRIPTION = """\
Signs is a utility for text preprocessing, vectorizing, and analysis
such as semantic similarity, mainly for the purpose of using unstructured
data in deep learning mode... | 30.945205 | 78 | 0.557769 |
062a23a5f74a1d166ea135fc95ab88b6338d9bd7 | 856 | py | Python | burstInfer/get_adjusted.py | ManchesterBioinference/burstInfer | 933bc76ae8e7fadc36bab1b6bf07ed18e5978a01 | [
"Apache-2.0"
] | 1 | 2021-05-05T05:09:53.000Z | 2021-05-05T05:09:53.000Z | burstInfer/get_adjusted.py | ManchesterBioinference/burstInfer | 933bc76ae8e7fadc36bab1b6bf07ed18e5978a01 | [
"Apache-2.0"
] | 2 | 2022-02-08T20:42:30.000Z | 2022-02-11T17:57:22.000Z | burstInfer/get_adjusted.py | ManchesterBioinference/burstInfer | 933bc76ae8e7fadc36bab1b6bf07ed18e5978a01 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 9 08:46:08 2020
@author: Jon
"""
from numba import jit
import numpy as np
| 24.457143 | 80 | 0.603972 |
062db264f7e87f340fddb2744772935245986efa | 5,542 | py | Python | Snow-Cooling/Libraries/HT_thermal_resistance.py | CarlGriffinsteed/UVM-ME144-Heat-Transfer | 9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca | [
"CC-BY-3.0"
] | 7 | 2017-06-02T20:31:22.000Z | 2021-04-05T13:52:33.000Z | Snow-Cooling/Libraries/HT_thermal_resistance.py | CarlGriffinsteed/UVM-ME144-Heat-Transfer | 9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca | [
"CC-BY-3.0"
] | null | null | null | Snow-Cooling/Libraries/HT_thermal_resistance.py | CarlGriffinsteed/UVM-ME144-Heat-Transfer | 9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca | [
"CC-BY-3.0"
] | 9 | 2019-01-24T17:43:41.000Z | 2021-07-25T18:08:34.000Z | """Object name: Resistance
Function name: serial_sum(R,nori,nend), performs serial sum of a resistance object list from nori to nend
Function name: parallel_sum(R,nori,nend), performs parallel sum of a resistance object list from nori to nend
"""
### definition of thermal resistance ###
from sympy.interactive ... | 39.304965 | 154 | 0.601227 |
062fa22aced8965048eae9457b5cdda95f4b8fc2 | 2,269 | py | Python | riva/temp scripts/button_scraper.py | nvitha/Smart-Cities | 9a4cb29b143956bb73789e4af2619cde681393be | [
"MIT"
] | null | null | null | riva/temp scripts/button_scraper.py | nvitha/Smart-Cities | 9a4cb29b143956bb73789e4af2619cde681393be | [
"MIT"
] | null | null | null | riva/temp scripts/button_scraper.py | nvitha/Smart-Cities | 9a4cb29b143956bb73789e4af2619cde681393be | [
"MIT"
] | null | null | null | import csv
import MySQLdb
from datetime import datetime
from tabulate import tabulate
#should be changed to sys/argv but this is temporary anyway
FILENAME = '/tmp/buttons.csv'
NUM_ROWS = 2
if __name__ == '__main__':
main()
| 27.011905 | 79 | 0.584839 |
0630137217338e4305c7a3e00109299b6cd31cc9 | 133 | py | Python | src/rstatmon/session_manager.py | git-ogawa/raspi-statmon | 619d7a8f697cad92437e2f558de2e0a626b5072f | [
"BSD-3-Clause"
] | null | null | null | src/rstatmon/session_manager.py | git-ogawa/raspi-statmon | 619d7a8f697cad92437e2f558de2e0a626b5072f | [
"BSD-3-Clause"
] | null | null | null | src/rstatmon/session_manager.py | git-ogawa/raspi-statmon | 619d7a8f697cad92437e2f558de2e0a626b5072f | [
"BSD-3-Clause"
] | null | null | null | from flask import session
| 12.090909 | 37 | 0.646617 |
06315d61570f26c6f3e6abf1ddc7df8cd17de830 | 44 | py | Python | 20200428/src/doct/addd_test.py | vultar150/Pyprac | 72fab30229ff632df8792eae17492f671e1d60e4 | [
"Apache-2.0"
] | null | null | null | 20200428/src/doct/addd_test.py | vultar150/Pyprac | 72fab30229ff632df8792eae17492f671e1d60e4 | [
"Apache-2.0"
] | null | null | null | 20200428/src/doct/addd_test.py | vultar150/Pyprac | 72fab30229ff632df8792eae17492f671e1d60e4 | [
"Apache-2.0"
] | null | null | null | import doctest
doctest.testfile("addd.rst")
| 14.666667 | 28 | 0.795455 |
0633ac683c3ed56680bcb92fef00c1d243facc3c | 3,040 | py | Python | backend/resources/admins.py | JyLIU-emma/projet-techweb | 07b1d3df4d97850745d61f04c311f6e364901790 | [
"CC0-1.0"
] | null | null | null | backend/resources/admins.py | JyLIU-emma/projet-techweb | 07b1d3df4d97850745d61f04c311f6e364901790 | [
"CC0-1.0"
] | null | null | null | backend/resources/admins.py | JyLIU-emma/projet-techweb | 07b1d3df4d97850745d61f04c311f6e364901790 | [
"CC0-1.0"
] | 1 | 2021-02-28T21:52:47.000Z | 2021-02-28T21:52:47.000Z | from flask import Flask, request, url_for, redirect, session, flash, jsonify, abort
import json
# from flask_login import LoginManager, UserMixin, login_required, logout_user
from flask_login import login_user, logout_user, login_required
import os
from flask_restful import Resource, Api
from passlib.apps import ... | 33.406593 | 108 | 0.608553 |
0636d326475e08bd9d33f6ec4c15e278d333f1e5 | 4,554 | py | Python | tests/core/test_tile_generator.py | virtualritz/tessagon | af1b1b12a6e92b226f76bfd616bde90d5e15b07c | [
"Apache-2.0"
] | 199 | 2017-10-27T12:13:08.000Z | 2022-03-24T09:54:48.000Z | tests/core/test_tile_generator.py | virtualritz/tessagon | af1b1b12a6e92b226f76bfd616bde90d5e15b07c | [
"Apache-2.0"
] | 4 | 2018-03-23T03:15:37.000Z | 2019-11-06T15:58:24.000Z | tests/core/test_tile_generator.py | virtualritz/tessagon | af1b1b12a6e92b226f76bfd616bde90d5e15b07c | [
"Apache-2.0"
] | 20 | 2017-10-27T14:41:08.000Z | 2021-12-28T10:12:59.000Z | from core_tests_base import CoreTestsBase, FakeTessagon, FakeTileSubClass
from tessagon.core.tile_generator import TileGenerator
| 48.967742 | 78 | 0.572244 |
0637f6c3c9de8ad36608c3847e85336fe19b3b26 | 645 | py | Python | and/ttp/2017/semana4/walkingAmongMountains.py | aLagoG/kygerand | 0991cf5d5c3d49f4602b6992d4e3bdec8e27898e | [
"MIT"
] | 1 | 2017-09-16T04:05:31.000Z | 2017-09-16T04:05:31.000Z | and/ttp/2017/semana4/walkingAmongMountains.py | aLagoG/kygerand | 0991cf5d5c3d49f4602b6992d4e3bdec8e27898e | [
"MIT"
] | 9 | 2017-01-25T19:34:38.000Z | 2020-07-27T17:02:09.000Z | and/ttp/2017/semana4/walkingAmongMountains.py | aLagoG/kygerand | 0991cf5d5c3d49f4602b6992d4e3bdec8e27898e | [
"MIT"
] | null | null | null | n = input();
mp = [[int(i) for i in raw_input()] for j in xrange(n)]
pnt = [[0 for i in xrange(n)] for j in xrange(n)]
x, y = [int(i) for i in raw_input().split()]
for i in xrange(1,x):
pnt[0][i] = pnt[0][i-1]+mp[0][i]-mp[0][i-1] if mp[0][i]>mp[0][i-1] else pnt[0][i-1]
for i in xrange(1,y):
pnt[i][0] = pnt[i-1][0]+... | 37.941176 | 85 | 0.525581 |
0639398dfb32e33d9f80356f092412a5f93dcc65 | 368 | py | Python | src/pyramid_resourceful/__init__.py | wylee/pyramid_resourceful | a755cbfd75335eb5526df7bd624dcb9afa2645c9 | [
"MIT"
] | null | null | null | src/pyramid_resourceful/__init__.py | wylee/pyramid_resourceful | a755cbfd75335eb5526df7bd624dcb9afa2645c9 | [
"MIT"
] | null | null | null | src/pyramid_resourceful/__init__.py | wylee/pyramid_resourceful | a755cbfd75335eb5526df7bd624dcb9afa2645c9 | [
"MIT"
] | null | null | null | from . import config as config_module
from .resource import resource_config, Resource
from .view import ResourceView
__all__ = [
"resource_config",
"Resource",
"ResourceView",
]
__version__ = "1.0a2"
| 19.368421 | 47 | 0.709239 |
063b14d87276bf24509b35e8dd89ae6d528821b9 | 518 | py | Python | Online-Judges/DimikOJ/Python/64-caesar-cipher-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/64-caesar-cipher-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/64-caesar-cipher-2.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null |
text = input()
key = int(input())
print(decryped_data(text,key))
| 24.666667 | 65 | 0.57722 |
063bfcdb61c52f48cebfa7c465fedd55623d891f | 621 | py | Python | setup.py | OseiasBeu/speaker_ass | b7ec38c131b17c502348873f5c90450752e41b9e | [
"MIT"
] | null | null | null | setup.py | OseiasBeu/speaker_ass | b7ec38c131b17c502348873f5c90450752e41b9e | [
"MIT"
] | null | null | null | setup.py | OseiasBeu/speaker_ass | b7ec38c131b17c502348873f5c90450752e41b9e | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
from setuptools import setup
with open("README.md", "r") as fh:
readme = fh.read()
setup(name='fala_assis',
version='0.0.1',
url='https://github.com/OseiasBeu/AssistenteDeFala',
license='MIT License',
author='Oseias Beu',
long_description=readme,
long_des... | 34.5 | 110 | 0.679549 |
063c305a923cd42896c01fbe6e2e8a0cb43f9912 | 452 | py | Python | excript/aulas/aula26_concatena.py | victorers1/anotacoes_curso_python | c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e | [
"MIT"
] | null | null | null | excript/aulas/aula26_concatena.py | victorers1/anotacoes_curso_python | c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e | [
"MIT"
] | null | null | null | excript/aulas/aula26_concatena.py | victorers1/anotacoes_curso_python | c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e | [
"MIT"
] | null | null | null | num_int = 5
num_dec = 7.3
val_str = "texto qualquer "
print("Primeiro nmero :", num_int)
print("O poder do Kakaroto mais de %i mil" %num_dec)
print("Ol mundo " + val_str + str(num_int))
print("Concatenando decimal:", num_dec)
print("Concatenando decimal: %.10f" %num_dec)
print("Concatenando decimal: " + str(num_dec... | 30.133333 | 55 | 0.721239 |
063ed7c5bac55d0b3c1f5775f5ccbe6840c1974c | 3,603 | py | Python | download_data/download_data.py | russelljjarvis/readabilityinscience | 353d79f11f2380fd4872242397a255a4b1da675c | [
"MIT"
] | 14 | 2017-03-24T16:01:52.000Z | 2021-01-22T17:57:48.000Z | download_data/download_data.py | russelljjarvis/readabilityinscience | 353d79f11f2380fd4872242397a255a4b1da675c | [
"MIT"
] | 3 | 2021-03-05T07:49:21.000Z | 2022-01-09T00:54:51.000Z | download_data/download_data.py | russelljjarvis/readabilityinscience | 353d79f11f2380fd4872242397a255a4b1da675c | [
"MIT"
] | 7 | 2017-08-08T09:46:36.000Z | 2021-08-23T16:18:12.000Z | #%%
#md
"""
This script downloads the dataset use in the analysis.
__It requires 2 inputs to be specified__
repo_directory and email (see first cell block).
"""
#%%
# Where is the main directory of the repo
repo_directory = './'
# Pubmed requires you to identify with an email addreesss
email = ''
#%%
import os
os... | 28.595238 | 154 | 0.686095 |
063efdb8c7270aa4b860492c35df24062791fbc9 | 297 | py | Python | examples/paragraph_based_segmentation.py | gakhov/sbdc | 0c6a3e1a671e3adb7f7ab8ca366c78a7ece43b5e | [
"Apache-2.0"
] | null | null | null | examples/paragraph_based_segmentation.py | gakhov/sbdc | 0c6a3e1a671e3adb7f7ab8ca366c78a7ece43b5e | [
"Apache-2.0"
] | null | null | null | examples/paragraph_based_segmentation.py | gakhov/sbdc | 0c6a3e1a671e3adb7f7ab8ca366c78a7ece43b5e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from sbdc.preprocessing import ContiguousSegmentSet
from sbdc.datasets import bbc_load
X = bbc_load()
cs = ContiguousSegmentSet(
min_segment_length=100,
small_segment_vanish_strategy="top")
cs.fit(X[:, 2])
text_segments = cs.transform()
print text_segments[:2]
| 19.8 | 51 | 0.744108 |
063f03923348104f14d70cb5ad60e17ea2bae4f7 | 1,586 | py | Python | scripts/parser_example.py | sync-or-swim/sos-journaler | f98897b47a8025e74fae4b427af95e07363a64c8 | [
"MIT"
] | null | null | null | scripts/parser_example.py | sync-or-swim/sos-journaler | f98897b47a8025e74fae4b427af95e07363a64c8 | [
"MIT"
] | 27 | 2020-01-29T05:50:52.000Z | 2020-12-20T04:53:01.000Z | scripts/parser_example.py | BryceBeagle/sync-or-swim | f98897b47a8025e74fae4b427af95e07363a64c8 | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as ET
from pathlib import Path
from argparse import ArgumentParser
import dateutil.parser
if __name__ == "__main__":
main()
| 32.367347 | 73 | 0.551702 |
0640bc1b181bd6fee650f3342edd6931b1ff3c2c | 554 | py | Python | src/backend/hacker_gif_poll/graphql_api/tenor/queries/hacker_gif.py | guligon90/hacker-gif-poll | d3c4f82191c956f8a4892e60ff72a28c2c858223 | [
"MIT"
] | null | null | null | src/backend/hacker_gif_poll/graphql_api/tenor/queries/hacker_gif.py | guligon90/hacker-gif-poll | d3c4f82191c956f8a4892e60ff72a28c2c858223 | [
"MIT"
] | null | null | null | src/backend/hacker_gif_poll/graphql_api/tenor/queries/hacker_gif.py | guligon90/hacker-gif-poll | d3c4f82191c956f8a4892e60ff72a28c2c858223 | [
"MIT"
] | null | null | null |
# Base imports
from os import environ
# Third party imports
from graphene import Field, ObjectType, String, Int
# Project imports
from graphql_api.tenor.schemas.hacker_gif.result import Result
from graphql_api.tenor.resolvers.hacker_gif import resolve_hacker_gifs
API_KEY = environ.get('TENOR_API_KEY')
| 23.083333 | 70 | 0.743682 |
06421c486cf48d8751641e5e70de10c89a4e549d | 2,367 | py | Python | WebServer.py | FrancescoRisso/Domotico-casa | ff0c5d757c15074a2069a1e16eb41680bef2389a | [
"Apache-2.0"
] | null | null | null | WebServer.py | FrancescoRisso/Domotico-casa | ff0c5d757c15074a2069a1e16eb41680bef2389a | [
"Apache-2.0"
] | null | null | null | WebServer.py | FrancescoRisso/Domotico-casa | ff0c5d757c15074a2069a1e16eb41680bef2389a | [
"Apache-2.0"
] | 1 | 2019-04-09T06:50:06.000Z | 2019-04-09T06:50:06.000Z | # coding: latin-1
# Flask example: https://realpython.com/flask-by-example-part-1-project-setup/
from flask import Flask
from waitress import serve
app = Flask(__name__)
from functions.date import get_date
from functions.connect import connect
header = '<html>\n\t<header>\n\t\t<title>\n\t\t\tHome control panel\n\t\... | 35.863636 | 246 | 0.6485 |
0643039f86602184a503cb24840a75bcaf50a6c2 | 10,371 | py | Python | handlers.py | martinslabber/tape-library-robot-control | ce4ca180c6d5a6be81702c252a1a8b4cde848b9b | [
"MIT"
] | null | null | null | handlers.py | martinslabber/tape-library-robot-control | ce4ca180c6d5a6be81702c252a1a8b4cde848b9b | [
"MIT"
] | 1 | 2020-05-05T09:08:20.000Z | 2020-06-19T10:15:01.000Z | handlers.py | martinslabber/tape-library-robot-control | ce4ca180c6d5a6be81702c252a1a8b4cde848b9b | [
"MIT"
] | 1 | 2020-06-15T09:02:01.000Z | 2020-06-15T09:02:01.000Z | # Handlers
import json
import logging
from aiohttp import web
def tape_library_handler_wrapper(
request,
action_name,
required_params=None,
optional_params=None,
skip_lock_check=False,
):
"""This wrapper performs error handling for the API calls.
Raises
------
Multiple exception... | 29.05042 | 89 | 0.563687 |