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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2b342abed7b8f87984c27430c6d9b8e53170e474 | 26,744 | py | Python | train.py | Akanni96/TRUNET | 12dff08f2361848e13b0952540e2198db386eab8 | [
"MIT"
] | 4 | 2020-08-29T22:41:18.000Z | 2021-05-28T03:21:33.000Z | train.py | Akanni96/TRUNET | 12dff08f2361848e13b0952540e2198db386eab8 | [
"MIT"
] | 8 | 2020-08-30T10:12:11.000Z | 2021-09-08T02:54:32.000Z | train.py | Akanni96/TRUNET | 12dff08f2361848e13b0952540e2198db386eab8 | [
"MIT"
] | 3 | 2021-02-25T12:23:32.000Z | 2021-11-17T09:37:05.000Z | from netCDF4 import Dataset, num2date
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import argparse
import ast
import gc
import logging
import math
import sys
import time
import numpy as np
import pandas as pd
import psutil
import tensorflow as t... | 53.2749 | 238 | 0.61539 |
2b38df9618a2605f4353888f836f0c4a985f8b88 | 10,250 | py | Python | CAAPR/CAAPR_AstroMagic/PTS/pts/modeling/misc/playground.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 7 | 2016-05-20T21:56:39.000Z | 2022-02-07T21:09:48.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/modeling/misc/playground.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2019-03-21T16:10:04.000Z | 2019-03-22T17:21:56.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/modeling/misc/playground.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2020-05-19T16:17:17.000Z | 2020-05-19T16:17:17.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** Astronomical Observatory, Ghent University **
# *****************************************************************
## ... | 29.97076 | 155 | 0.521561 |
2b3946e6444ac24234cab739bd07f31076aa6316 | 1,552 | py | Python | src/compute_paper_sketches.py | Synerise/kdd-cup-2021 | 529354fd60c982e562bbbc0adf25114d1df3bbbd | [
"Apache-2.0"
] | 13 | 2021-06-14T16:09:19.000Z | 2022-03-25T07:49:21.000Z | src/compute_paper_sketches.py | Synerise/kdd-cup-2021 | 529354fd60c982e562bbbc0adf25114d1df3bbbd | [
"Apache-2.0"
] | 1 | 2021-11-22T07:27:19.000Z | 2021-11-22T07:27:19.000Z | src/compute_paper_sketches.py | Synerise/kdd-cup-2021 | 529354fd60c982e562bbbc0adf25114d1df3bbbd | [
"Apache-2.0"
] | 3 | 2021-08-28T10:25:11.000Z | 2021-09-18T03:30:24.000Z | import argparse
import random
import os
import math
import numpy as np
from tqdm import tqdm
from coders import get_vcoder
from root import ROOT
if __name__ == "__main__":
parser = get_parser()
params = parser.parse_args()
compute_sketches(params) | 33.73913 | 125 | 0.712629 |
2b3a2886cced8166d79a209e36b74c73cb5dec34 | 14,328 | py | Python | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/functional/test_functional_basic.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/functional/test_functional_basic.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Inspur/openbmc/poky/bitbake/lib/toaster/tests/functional/test_functional_basic.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | #! /usr/bin/env python
#
# BitBake Toaster functional tests implementation
#
# Copyright (C) 2017 Intel Corporation
#
# SPDX-License-Identifier: GPL-2.0-only
#
import time
import re
from tests.functional.functional_helpers import SeleniumFunctionalTestCase
from orm.models import Project
| 61.758621 | 268 | 0.661991 |
2b3a45e82c85072b1083e38d452fb530c3e43ce9 | 10,685 | py | Python | main-test.py | bpoje/checkmk-python-rest-api | 78d13dbdf9f0c6bb1db7d8a80db030d212406647 | [
"MIT"
] | null | null | null | main-test.py | bpoje/checkmk-python-rest-api | 78d13dbdf9f0c6bb1db7d8a80db030d212406647 | [
"MIT"
] | null | null | null | main-test.py | bpoje/checkmk-python-rest-api | 78d13dbdf9f0c6bb1db7d8a80db030d212406647 | [
"MIT"
] | null | null | null | #!/bin/python3
from Checkmk import *
import re as re
import time
#Init checkmk rest api
#Remove ipaddress (resolve ip from hostname)
#Update host with custom request body
# Test
site_name = 'nadzor'
cmk_rest_url = 'https://checkmk.example.com/site1/check_mk/api/1.0'
cafile = 'config/corp_ca.pem'
username = 'automa... | 31.895522 | 131 | 0.622087 |
2b3a55f8831041e96f6dabf7153fed76e87ee6bb | 3,386 | py | Python | reportportal_client/items/rp_test_items/rp_child_test_item.py | buchi-busireddy/client-Python | d5315a7e5903429366340c87cafdbc57c9f1d1a2 | [
"Apache-2.0"
] | null | null | null | reportportal_client/items/rp_test_items/rp_child_test_item.py | buchi-busireddy/client-Python | d5315a7e5903429366340c87cafdbc57c9f1d1a2 | [
"Apache-2.0"
] | null | null | null | reportportal_client/items/rp_test_items/rp_child_test_item.py | buchi-busireddy/client-Python | d5315a7e5903429366340c87cafdbc57c9f1d1a2 | [
"Apache-2.0"
] | null | null | null | """
This module contains functional for Child RP test items management.
Copyright (c) 2018 http://reportportal.io .
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/L... | 43.974026 | 79 | 0.605434 |
2b3b1d96a352914df91c4c58e8eb5d703c0c1dcb | 1,277 | py | Python | bs_3 Navigating the tree Going back and forth.py | ronaldoapsilva/Beatiful_Soup | 1700be637025d7ea09907ef6154f547f013dea0a | [
"MIT"
] | null | null | null | bs_3 Navigating the tree Going back and forth.py | ronaldoapsilva/Beatiful_Soup | 1700be637025d7ea09907ef6154f547f013dea0a | [
"MIT"
] | null | null | null | bs_3 Navigating the tree Going back and forth.py | ronaldoapsilva/Beatiful_Soup | 1700be637025d7ea09907ef6154f547f013dea0a | [
"MIT"
] | null | null | null | #https://www.crummy.com/software/BeautifulSoup/bs4/doc/#strings-and-stripped-strings
html_doc = """<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a href="http://exam... | 36.485714 | 163 | 0.700078 |
2b3b1fe584d6a177077f80e495c27dd5513c5633 | 8,781 | py | Python | src/utils_evaluation.py | stefanialvs/PyForecast | 7871516357f6cea1cfd4d3fd7ad8b9c5223cdc62 | [
"MIT"
] | null | null | null | src/utils_evaluation.py | stefanialvs/PyForecast | 7871516357f6cea1cfd4d3fd7ad8b9c5223cdc62 | [
"MIT"
] | null | null | null | src/utils_evaluation.py | stefanialvs/PyForecast | 7871516357f6cea1cfd4d3fd7ad8b9c5223cdc62 | [
"MIT"
] | 1 | 2020-06-02T16:33:31.000Z | 2020-06-02T16:33:31.000Z | import numpy as np
from numpy.random import seed
seed(1)
import pandas as pd
from math import sqrt
from sklearn.decomposition import PCA
######################################################################
# METRICS
######################################################################
def mse(y, y_hat):
"""
... | 34.70751 | 86 | 0.658012 |
2b3c07877c471c66f3bf8780f65cfc45c99e4f0b | 2,254 | py | Python | face_recog.py | a4aakash/Computer-Vision | 73f4e471d818b7929169905cd532da7ab1e68b91 | [
"MIT"
] | 2 | 2019-05-01T18:52:22.000Z | 2019-05-02T06:26:17.000Z | face_recog.py | a4aakash/Computer-Vision | 73f4e471d818b7929169905cd532da7ab1e68b91 | [
"MIT"
] | null | null | null | face_recog.py | a4aakash/Computer-Vision | 73f4e471d818b7929169905cd532da7ab1e68b91 | [
"MIT"
] | null | null | null | import face_recognition
import cv2
import numpy as np
video_capture = cv2.VideoCapture(0)
# Load sample
image1 = face_recognition.load_image_file("Your Image Here with extension")
encoding1 = face_recognition.face_encodings(image1)[0]
known_face_encodings = [encoding1,
#encoding2]
... | 31.746479 | 96 | 0.64685 |
2b3ca91f91a1ba9b2896646d6f63a90d1691a84b | 179 | py | Python | tests/regressiontests/initial_sql_regress/tests.py | alex/django-old | 6f964c8f03e5d25c9e36898a001c8463f82fbb81 | [
"BSD-3-Clause"
] | 2 | 2015-11-05T06:07:13.000Z | 2019-01-04T07:35:59.000Z | tests/regressiontests/initial_sql_regress/tests.py | alex/django-old | 6f964c8f03e5d25c9e36898a001c8463f82fbb81 | [
"BSD-3-Clause"
] | null | null | null | tests/regressiontests/initial_sql_regress/tests.py | alex/django-old | 6f964c8f03e5d25c9e36898a001c8463f82fbb81 | [
"BSD-3-Clause"
] | null | null | null | from django.test import TestCase
from models import Simple
| 19.888889 | 51 | 0.75419 |
2b3da381c58b4f82260a14be2bde2c3527be2594 | 442 | py | Python | src/rmi/bibliotheque.py | e-yuzo/distributed-systems-for-fun | 54e605265a4d78656aba815184b869b96227d3a9 | [
"Apache-2.0"
] | null | null | null | src/rmi/bibliotheque.py | e-yuzo/distributed-systems-for-fun | 54e605265a4d78656aba815184b869b96227d3a9 | [
"Apache-2.0"
] | null | null | null | src/rmi/bibliotheque.py | e-yuzo/distributed-systems-for-fun | 54e605265a4d78656aba815184b869b96227d3a9 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import Pyro4 | 19.217391 | 37 | 0.561086 |
2b3deda9eaa510861e8cdebfaf0ab7b972bcefa0 | 14,983 | py | Python | statarb/src/python/bin/db_check.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 51 | 2019-02-01T19:43:37.000Z | 2022-03-16T09:07:03.000Z | statarb/src/python/bin/db_check.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 2 | 2019-02-23T18:54:22.000Z | 2019-11-09T01:30:32.000Z | statarb/src/python/bin/db_check.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 35 | 2019-02-08T02:00:31.000Z | 2022-03-01T23:17:00.000Z | #!/usr/bin/env python
import util
import newdb
from collections import Counter
from collections import deque
#Check if two rows have equal values in the keys attributes
#def __getNextBatchFromCursor(keys,cursor,buffer=[]):
#verify that a consecutive slice of rows are nice and consistent
#verify tha... | 36.903941 | 270 | 0.596543 |
2b3e182cdb9374aefd88508287e3f0812c0864ba | 634 | py | Python | onepanman_api/migrations/0014_auto_20200319_1740.py | Capstone-onepanman/api-server | 1a5174fbc441d2718f3963863590f634ba2014e1 | [
"MIT"
] | null | null | null | onepanman_api/migrations/0014_auto_20200319_1740.py | Capstone-onepanman/api-server | 1a5174fbc441d2718f3963863590f634ba2014e1 | [
"MIT"
] | 12 | 2020-03-24T18:09:30.000Z | 2022-03-12T00:15:07.000Z | onepanman_api/migrations/0014_auto_20200319_1740.py | Capstone-onepanman/api-server | 1a5174fbc441d2718f3963863590f634ba2014e1 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.10 on 2020-03-19 08:40
from django.db import migrations, models
| 25.36 | 141 | 0.570978 |
2b3e2a81c05d58428d476f5ce54464d2991ccb20 | 5,536 | py | Python | ejer/Dia_5.py | zara-ms/python_class-2 | edd5a4b7a3b3f2759f63208bbf42d5f9e7acb45b | [
"MIT"
] | null | null | null | ejer/Dia_5.py | zara-ms/python_class-2 | edd5a4b7a3b3f2759f63208bbf42d5f9e7acb45b | [
"MIT"
] | 1 | 2021-12-01T17:05:15.000Z | 2021-12-01T17:05:15.000Z | ejer/Dia_5.py | zara-ms/python_class-2 | edd5a4b7a3b3f2759f63208bbf42d5f9e7acb45b | [
"MIT"
] | 4 | 2021-04-09T19:06:40.000Z | 2021-11-29T01:17:50.000Z | ### EGQuery
from Bio import Entrez
Entrez.email = "joserodelmar@gmail.com"
### termino = "(Aedes[Title] OR Aedes[All Fields])AND((RNA-Seq[Title] OR transcriptomic[Title]) OR (transcriptome[Title] OR sequencing[Title]))"
### handle = Entrez.egquery(term=termino)
### record = Entrez.read(handle)
### handle.close(... | 36.906667 | 145 | 0.65914 |
2b40be95f80d31455cf6a2e3a51eb14f7aeb92a8 | 3,288 | py | Python | src/Themes/TransformationTheme.py | LukasTinnes/VenturePainter | cb1f24fda2a43d402a9c5a401d713af0c950270b | [
"Unlicense"
] | 1 | 2020-05-29T21:09:33.000Z | 2020-05-29T21:09:33.000Z | src/Themes/TransformationTheme.py | LukasTinnes/VenturePainter | cb1f24fda2a43d402a9c5a401d713af0c950270b | [
"Unlicense"
] | 3 | 2020-06-14T11:33:54.000Z | 2022-01-13T03:31:06.000Z | src/Themes/TransformationTheme.py | LukasTinnes/VenturePainter | cb1f24fda2a43d402a9c5a401d713af0c950270b | [
"Unlicense"
] | null | null | null | from .Theme import Theme
from src.Graph import Graph
| 36.94382 | 119 | 0.612226 |
2b4181e01e4e874885f0067383123bf864197817 | 7,231 | py | Python | cinderlib/tests/unit/objects/test_snapshot.py | Akrog/cinderlib | 6481cd9a34744f80bdba130fe9089f1b8b7cb327 | [
"Apache-2.0"
] | 15 | 2018-01-04T13:46:59.000Z | 2020-07-06T13:27:57.000Z | cinderlib/tests/unit/objects/test_snapshot.py | Akrog/cinderlib | 6481cd9a34744f80bdba130fe9089f1b8b7cb327 | [
"Apache-2.0"
] | 12 | 2018-06-13T10:57:55.000Z | 2019-04-04T09:31:44.000Z | cinderlib/tests/unit/objects/test_snapshot.py | Akrog/cinderlib | 6481cd9a34744f80bdba130fe9089f1b8b7cb327 | [
"Apache-2.0"
] | 7 | 2018-03-12T22:41:30.000Z | 2019-01-17T23:16:40.000Z | # Copyright (c) 2018, Red Hat, 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 requir... | 47.261438 | 79 | 0.696584 |
2b433f4a1e91cf318186b9fc64edb891e6238a3a | 410 | py | Python | sync/settings.py.template.py | Smithsonian/Osprey | 05e39264af63b5df298b9f8c6c9c6e06dd77c923 | [
"Apache-2.0"
] | 2 | 2020-03-12T21:10:38.000Z | 2021-11-08T09:46:02.000Z | sync/settings.py.template.py | Smithsonian/Osprey | 05e39264af63b5df298b9f8c6c9c6e06dd77c923 | [
"Apache-2.0"
] | 11 | 2020-04-30T13:01:29.000Z | 2021-12-07T13:21:27.000Z | sync/settings.py.template.py | Smithsonian/MDFileCheck | 611213063430f34d2bc8c76fbbd1cfe2bdd80077 | [
"Apache-2.0"
] | 1 | 2020-03-20T12:19:17.000Z | 2020-03-20T12:19:17.000Z | #ID of the project
project_id = ""
#List of paths where the folders to check are
project_paths = []
#Destination of the sync, trailing slash
destination_path = ""
##################################
#Postgres database and rw user
##################################
db_host = ""
db_db = ""
db_user = ""
... | 17.826087 | 46 | 0.487805 |
2b4420ed0d3eb5ee2284257b45a567c89eda83bb | 88 | py | Python | deepART/nlp/text_preproc/__init__.py | nicholaslaw/deepART | ffd425128bec02ca22ac64a6b55425fc1b29f9ba | [
"MIT"
] | 1 | 2021-05-22T00:34:25.000Z | 2021-05-22T00:34:25.000Z | deepART/nlp/text_preproc/__init__.py | nicholaslaw/deepART | ffd425128bec02ca22ac64a6b55425fc1b29f9ba | [
"MIT"
] | null | null | null | deepART/nlp/text_preproc/__init__.py | nicholaslaw/deepART | ffd425128bec02ca22ac64a6b55425fc1b29f9ba | [
"MIT"
] | null | null | null | from .preprocessors import *
from .corpus_handler import *
from .bow_vectorizer import * | 29.333333 | 29 | 0.806818 |
2b472ca417fdf96e2bd7e3a9f6364bf16ad6b0d4 | 7,917 | py | Python | Python Files/preprocessing.py | errohankumar/thesis | 7855affd3cbde99da40ef3375a61d2e39815ae8c | [
"MIT"
] | null | null | null | Python Files/preprocessing.py | errohankumar/thesis | 7855affd3cbde99da40ef3375a61d2e39815ae8c | [
"MIT"
] | null | null | null | Python Files/preprocessing.py | errohankumar/thesis | 7855affd3cbde99da40ef3375a61d2e39815ae8c | [
"MIT"
] | 1 | 2021-01-15T09:35:15.000Z | 2021-01-15T09:35:15.000Z | import os
import pandas as pd
from datetime import datetime
from preprocessing_service import PreProcessingService
| 46.298246 | 117 | 0.581786 |
2b489d07d9e82fe1aadc06b20d66dc9fd7145ce7 | 430 | py | Python | app/models/shop/footprint.py | Hugking/lin-cms-flask | 5f79e744e60d0f1b81c6e8bd045ab4ffa00043ce | [
"MIT"
] | null | null | null | app/models/shop/footprint.py | Hugking/lin-cms-flask | 5f79e744e60d0f1b81c6e8bd045ab4ffa00043ce | [
"MIT"
] | null | null | null | app/models/shop/footprint.py | Hugking/lin-cms-flask | 5f79e744e60d0f1b81c6e8bd045ab4ffa00043ce | [
"MIT"
] | null | null | null | from lin.exception import NotFound, ParameterException
from lin.interface import InfoCrud as Base
from sqlalchemy import Column, String, Integer, Text,ForeignKey, DateTime
| 43 | 73 | 0.77907 |
2b48e3d3df0f346986c6b935074ae08a67a768a8 | 10,833 | py | Python | src/integrated_models/commons/vehicle_schedule.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | src/integrated_models/commons/vehicle_schedule.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | src/integrated_models/commons/vehicle_schedule.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | import logging
from typing import List
from typing import Dict
import line_data
import ean_data
from core.model.ptn import Stop
from core.util.constants import SECONDS_PER_MINUTE
from parameters import VSParameters
logger = logging.getLogger(__name__)
def construct_vehicle_schedule_from_ip(line_pool: line_data.... | 45.516807 | 120 | 0.639989 |
2b496fab5d606b175cd31dd55cb36b4523841175 | 2,147 | py | Python | input_data.py | Alebat/C3D-tensorflow | 53bef32eb29073e454d031ddb8b58c35b51b24f8 | [
"MIT"
] | null | null | null | input_data.py | Alebat/C3D-tensorflow | 53bef32eb29073e454d031ddb8b58c35b51b24f8 | [
"MIT"
] | null | null | null | input_data.py | Alebat/C3D-tensorflow | 53bef32eb29073e454d031ddb8b58c35b51b24f8 | [
"MIT"
] | null | null | null | # Copyright 2015 Google 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 a... | 39.036364 | 102 | 0.658593 |
2b4a2e9098beeef82e8048faa9e23db52b8ed780 | 78 | py | Python | ref/commandlinearguments/demo.py | skrymets/python-core-and-advanced | 7cb486e9b9413d4cbb7fa67929d492094b2a3abb | [
"Apache-2.0"
] | 2 | 2019-04-13T14:10:38.000Z | 2021-01-17T00:57:51.000Z | ref/commandlinearguments/demo.py | skrymets/python-core-and-advanced | 7cb486e9b9413d4cbb7fa67929d492094b2a3abb | [
"Apache-2.0"
] | null | null | null | ref/commandlinearguments/demo.py | skrymets/python-core-and-advanced | 7cb486e9b9413d4cbb7fa67929d492094b2a3abb | [
"Apache-2.0"
] | 1 | 2020-02-20T15:44:36.000Z | 2020-02-20T15:44:36.000Z | import sys
lst=sys.argv
for i in lst:print(i)
print(len(lst))
print(lst[0]) | 9.75 | 21 | 0.692308 |
2b4bfbec3d5a6cb84fb2b33265f229fe1871f234 | 549 | py | Python | neural_pi/estimator/optimization.py | tarik/pi-snm-qde | 61b0d60b5e7a56454d313693c2d1a9694879f1dc | [
"MIT"
] | 8 | 2020-08-05T18:02:20.000Z | 2022-03-16T17:41:13.000Z | neural_pi/estimator/optimization.py | tarik/pi-snm-qde | 61b0d60b5e7a56454d313693c2d1a9694879f1dc | [
"MIT"
] | 1 | 2021-05-17T15:43:22.000Z | 2021-07-12T20:29:12.000Z | neural_pi/estimator/optimization.py | tarik/pi-snm-qde | 61b0d60b5e7a56454d313693c2d1a9694879f1dc | [
"MIT"
] | 1 | 2021-12-10T12:20:24.000Z | 2021-12-10T12:20:24.000Z | import torch
__all__ = [
'Adam',
'SGD',
'ExponentialDecay'
]
Adam = torch.optim.Adam
SGD = torch.optim.SGD
| 21.96 | 79 | 0.661202 |
2b4d03d59954090b025b2fdb39cc1802e82f536f | 751 | py | Python | wharf_management/wharf_management/doctype/security_check/security_check.py | staumoepeau/pms | 67aa43fb27f75482275b50dff17f5919e6c394b1 | [
"MIT"
] | 1 | 2021-02-19T11:45:24.000Z | 2021-02-19T11:45:24.000Z | wharf_management/wharf_management/doctype/security_check/security_check.py | staumoepeau/pms | 67aa43fb27f75482275b50dff17f5919e6c394b1 | [
"MIT"
] | 1 | 2021-08-12T08:29:50.000Z | 2021-08-17T06:12:02.000Z | wharf_management/wharf_management/doctype/security_check/security_check.py | staumoepeau/pms | 67aa43fb27f75482275b50dff17f5919e6c394b1 | [
"MIT"
] | 4 | 2020-07-22T20:30:00.000Z | 2021-08-07T12:36:01.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Sione Taumoepeau 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 msgprint, _, scrub | 30.04 | 165 | 0.772304 |
2b4db1ded88b7c952c097270d8ab5f711e96a0de | 627 | py | Python | python/tvm/tensor_graph/testing/datasets/mnist.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/testing/datasets/mnist.py | QinHan-Erin/AMOS | 634bf48edf4015e4a69a8c32d49b96bce2b5f16f | [
"Apache-2.0"
] | null | null | null | python/tvm/tensor_graph/testing/datasets/mnist.py | QinHan-Erin/AMOS | 634bf48edf4015e4a69a8c32d49b96bce2b5f16f | [
"Apache-2.0"
] | 2 | 2022-03-18T08:26:34.000Z | 2022-03-20T06:02:48.000Z | import torch
import torchvision
from torchvision import transforms
| 52.25 | 129 | 0.795853 |
2b4eb06c3cbb298daf39187115856d9eb9bb7ca9 | 1,193 | py | Python | src/python/WMCore/WMBS/MySQL/Locations/GetSiteInfo.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 21 | 2015-11-19T16:18:45.000Z | 2021-12-02T18:20:39.000Z | src/python/WMCore/WMBS/MySQL/Locations/GetSiteInfo.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 5,671 | 2015-01-06T14:38:52.000Z | 2022-03-31T22:11:14.000Z | src/python/WMCore/WMBS/MySQL/Locations/GetSiteInfo.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 67 | 2015-01-21T15:55:38.000Z | 2022-02-03T19:53:13.000Z | #!/usr/bin/env python
"""
_GetSiteInfo_
MySQL implementation of Locations.GetSiteInfo
"""
from WMCore.Database.DBFormatter import DBFormatter
| 36.151515 | 80 | 0.602682 |
2b4eedb5164efaf2f31f1db38dc1cd4d11db9efe | 1,278 | py | Python | LSD/RMQ/__init__.py | Fabianexe/superbubble | 5399e76c49ad62da7d6a2de7b5ea548b415bda30 | [
"BSD-3-Clause"
] | 1 | 2021-09-21T13:29:19.000Z | 2021-09-21T13:29:19.000Z | LSD/RMQ/__init__.py | Fabianexe/superbubble | 5399e76c49ad62da7d6a2de7b5ea548b415bda30 | [
"BSD-3-Clause"
] | null | null | null | LSD/RMQ/__init__.py | Fabianexe/superbubble | 5399e76c49ad62da7d6a2de7b5ea548b415bda30 | [
"BSD-3-Clause"
] | 2 | 2019-09-11T23:33:12.000Z | 2021-02-18T14:39:01.000Z | """
Thise source code is from
https://codereview.stackexchange.com/questions/154047/dynamic-programming-based-range-minimum-query
And stands so under Creative Commons Licensing
"""
from itertools import product
| 33.631579 | 99 | 0.584507 |
2b4f8e5cdc0d26f07c9c86123acc7f43f5d72d65 | 1,455 | py | Python | setup.py | JanviRaina/openodia | f33d095afcb2e87108986ecf16a5ee0f59568502 | [
"MIT"
] | null | null | null | setup.py | JanviRaina/openodia | f33d095afcb2e87108986ecf16a5ee0f59568502 | [
"MIT"
] | null | null | null | setup.py | JanviRaina/openodia | f33d095afcb2e87108986ecf16a5ee0f59568502 | [
"MIT"
] | null | null | null | """Setup script for openodia
Referred: https://github.com/realpython/reader/blob/master/setup.py
https://realpython.com/pypi-publish-python-package/
"""
import os.path
from setuptools import find_packages, setup
# The directory containing this file
HERE = os.path.abspath(os.path.dirname(__file__))
# Th... | 33.068182 | 81 | 0.679725 |
2b53d1c33b0ce215b092396a108e1d3388123180 | 6,028 | py | Python | MLE.py | tutan0558/Stevens-FE800-Group16-18Spring | 8683fe4e1b7971403d3c5db16ebf5ba5a0f75af4 | [
"BSD-2-Clause"
] | null | null | null | MLE.py | tutan0558/Stevens-FE800-Group16-18Spring | 8683fe4e1b7971403d3c5db16ebf5ba5a0f75af4 | [
"BSD-2-Clause"
] | null | null | null | MLE.py | tutan0558/Stevens-FE800-Group16-18Spring | 8683fe4e1b7971403d3c5db16ebf5ba5a0f75af4 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 21 18:22:32 2018
@author: 79127
"""
import numpy as np
from scipy.optimize import minimize
import math
import pandas as pd
minimize?
def LL(params, data):
'''
params is a ndarray, [mean, variance, skew, kurt]
'''
mean = params[0]
sig... | 24.806584 | 144 | 0.532349 |
2b547e3eaf9d13c29708cf5a17bb31b88f08fcb4 | 9,427 | py | Python | tests/cli_helper.py | neusse/ksconf | eeafa5663aeff2585a6c3d40e7b72cdbbab9f211 | [
"Apache-2.0"
] | 51 | 2018-06-06T02:07:07.000Z | 2022-03-11T01:57:07.000Z | tests/cli_helper.py | neusse/ksconf | eeafa5663aeff2585a6c3d40e7b72cdbbab9f211 | [
"Apache-2.0"
] | 83 | 2018-04-18T21:44:11.000Z | 2021-09-01T14:36:09.000Z | tests/cli_helper.py | neusse/ksconf | eeafa5663aeff2585a6c3d40e7b72cdbbab9f211 | [
"Apache-2.0"
] | 9 | 2018-09-30T15:57:38.000Z | 2021-10-08T08:49:54.000Z | from __future__ import absolute_import, print_function, unicode_literals
import os
import shutil
import stat
import sys
import tempfile
from io import StringIO, open
from subprocess import list2cmdline
from textwrap import dedent
import ksconf.ext.six as six
from ksconf.__main__ import cli
from ksconf.conf.parser im... | 31.955932 | 100 | 0.604222 |
2b554d39cace94bec033a5b3f6828f64cc59bedf | 450 | py | Python | setup.py | Nathaniel-Rodriguez/reservoirlib | 367261d17fa762375ae40b4cc2ffab1de2113858 | [
"MIT"
] | 4 | 2018-07-01T20:17:08.000Z | 2020-04-19T06:56:43.000Z | setup.py | Nathaniel-Rodriguez/reservoirlib | 367261d17fa762375ae40b4cc2ffab1de2113858 | [
"MIT"
] | null | null | null | setup.py | Nathaniel-Rodriguez/reservoirlib | 367261d17fa762375ae40b4cc2ffab1de2113858 | [
"MIT"
] | 5 | 2019-08-20T02:04:54.000Z | 2021-08-16T22:11:38.000Z | from setuptools import setup
setup(name='reservoirlib',
version='0.1',
description='Python 3 library that provides utilities for creating and'
' training reservoir computers.',
author='Nathaniel Rodriguez',
packages=['reservoirlib'],
url='https://github.com/Nathaniel-Rod... | 30 | 77 | 0.633333 |
2b58110490a5ec506b288ccfafb0c78b031eefd9 | 10,645 | py | Python | botstory/chat_test.py | botstory/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 5 | 2017-01-14T13:42:13.000Z | 2021-07-27T21:52:04.000Z | botstory/chat_test.py | botstory/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 235 | 2016-11-07T23:33:28.000Z | 2018-03-13T11:27:33.000Z | botstory/chat_test.py | hyzhak/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 5 | 2017-01-14T13:42:14.000Z | 2020-11-06T08:33:20.000Z | import aiohttp
import logging
import pytest
from botstory import Story
import botstory.integrations.fb.messenger
from botstory.middlewares import location
from botstory.utils import answer, SimpleTrigger
logger = logging.getLogger(__name__)
# TODO: move to middlewares/location/test_location.py
| 36.455479 | 115 | 0.519493 |
2b59f33e04abb7e7a0a838142a38b316dd787aec | 2,349 | py | Python | Python/Deep Learning/Krish Naik/How to Select how many hidden layer and neurons in a neural network.py | omkarsutar1255/Python-Data | 169d0c54b23d9dd5a7f1aea41ab385121c3b3c63 | [
"CC-BY-3.0"
] | null | null | null | Python/Deep Learning/Krish Naik/How to Select how many hidden layer and neurons in a neural network.py | omkarsutar1255/Python-Data | 169d0c54b23d9dd5a7f1aea41ab385121c3b3c63 | [
"CC-BY-3.0"
] | null | null | null | Python/Deep Learning/Krish Naik/How to Select how many hidden layer and neurons in a neural network.py | omkarsutar1255/Python-Data | 169d0c54b23d9dd5a7f1aea41ab385121c3b3c63 | [
"CC-BY-3.0"
] | null | null | null | # todo: How to Select how many hidden layer and neurons in a neural network
# Importing the libraries
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, Activation
# Importing the dataset
dataset = pd.read_csv('Churn_Modelling.csv')
X = dataset.iloc[:, 3:13].values
y = dataset.ilo... | 30.506494 | 92 | 0.747126 |
2b5a2959c9425677340be48cc569287de612e956 | 706 | py | Python | proxy.py | thinkmassive/mattermost-webhook-slack-proxy | c0ba56bccde3999a0398840cfc379dc70b312707 | [
"MIT"
] | 2 | 2021-07-17T00:00:34.000Z | 2021-07-19T10:42:45.000Z | proxy.py | thinkmassive/mattermost-webhook-slack-proxy | c0ba56bccde3999a0398840cfc379dc70b312707 | [
"MIT"
] | 1 | 2021-07-02T12:32:49.000Z | 2021-07-05T13:10:36.000Z | proxy.py | thinkmassive/mattermost-webhook-slack-proxy | c0ba56bccde3999a0398840cfc379dc70b312707 | [
"MIT"
] | null | null | null | from mitmproxy import http
import json
| 37.157895 | 84 | 0.57932 |
2b5a89bb281e2f10b2d2d3adb7e007e196296d75 | 683 | py | Python | tests/resources/test_processor.py | jspeerless/citrine-python | ef373cde3b2f9be9bd5657b3e59966f75dc111ff | [
"Apache-2.0"
] | 23 | 2019-11-01T23:52:53.000Z | 2022-03-12T23:51:42.000Z | tests/resources/test_processor.py | jspeerless/citrine-python | ef373cde3b2f9be9bd5657b3e59966f75dc111ff | [
"Apache-2.0"
] | 289 | 2019-09-09T22:48:32.000Z | 2022-03-25T16:56:03.000Z | tests/resources/test_processor.py | jspeerless/citrine-python | ef373cde3b2f9be9bd5657b3e59966f75dc111ff | [
"Apache-2.0"
] | 8 | 2019-10-30T18:51:26.000Z | 2021-10-06T03:36:34.000Z | import uuid
from citrine.resources.processor import ProcessorCollection
| 24.392857 | 59 | 0.610542 |
2b5ae689c884fcdcd77ac12ff0a18c23bdd5b06b | 32,619 | py | Python | tofu/geom/_comp.py | Louwrensth/tofu | df2841d24eaf223ae07d862ffaa33fdb2fc079d3 | [
"MIT"
] | null | null | null | tofu/geom/_comp.py | Louwrensth/tofu | df2841d24eaf223ae07d862ffaa33fdb2fc079d3 | [
"MIT"
] | null | null | null | tofu/geom/_comp.py | Louwrensth/tofu | df2841d24eaf223ae07d862ffaa33fdb2fc079d3 | [
"MIT"
] | null | null | null | """
This module is the computational part of the geometrical module of ToFu
"""
# Built-in
import sys
import warnings
# Common
import numpy as np
import scipy.interpolate as scpinterp
import scipy.integrate as scpintg
if sys.version[0]=='3':
from inspect import signature as insp
elif sys.version[0]=='2':
from... | 40.420074 | 258 | 0.513842 |
2b5e05f42038359b8b6d7bc3e1f4fce4a8ff9ec7 | 8,420 | py | Python | j4j_handler/api_token_handler/j4j_api_token.py | FZJ-JSC/jupyter-jsc-jupyterhub-collection | 3fbb83da6e356df57bbdd24269157944f7fcd2a5 | [
"BSD-3-Clause"
] | null | null | null | j4j_handler/api_token_handler/j4j_api_token.py | FZJ-JSC/jupyter-jsc-jupyterhub-collection | 3fbb83da6e356df57bbdd24269157944f7fcd2a5 | [
"BSD-3-Clause"
] | null | null | null | j4j_handler/api_token_handler/j4j_api_token.py | FZJ-JSC/jupyter-jsc-jupyterhub-collection | 3fbb83da6e356df57bbdd24269157944f7fcd2a5 | [
"BSD-3-Clause"
] | null | null | null | '''
Created on May 10, 2019
@author: kreuzer
'''
import json
import uuid
import base64
import time
import requests
import os
from contextlib import closing
from jupyterhub.orm import APIToken, User
from jupyterhub.apihandlers.base import APIHandler
| 55.394737 | 229 | 0.547387 |
2b5f5764b06ef2ac451c2d22bf2200462d4aa93e | 1,006 | py | Python | apps/categorys/models.py | ErikJiang/accountbook_server | 8e9e5472072af23ab0496d256b0a49bd9e55bbe3 | [
"MIT"
] | 16 | 2019-01-13T11:09:10.000Z | 2021-12-27T22:12:55.000Z | apps/categorys/models.py | ErikJiang/accountbook_server | 8e9e5472072af23ab0496d256b0a49bd9e55bbe3 | [
"MIT"
] | 2 | 2020-06-05T18:21:42.000Z | 2021-03-19T22:13:15.000Z | apps/categorys/models.py | ErikJiang/accountbook_server | 8e9e5472072af23ab0496d256b0a49bd9e55bbe3 | [
"MIT"
] | 7 | 2019-03-17T08:10:41.000Z | 2022-03-04T14:35:57.000Z | from django.db import models
# from django.contrib.auth.models import User
from apps.users.models import CustomUser
# Enum
from enum import Enum
from enumfields import EnumIntegerField
| 34.689655 | 115 | 0.72167 |
2b602336f80bb1e1c95e051c146cc97cad705b49 | 2,776 | py | Python | src/random_subset.py | KaiFabi/NeuroEvolution | 2ecbff626547e3745ba51135f43bce606f93f404 | [
"MIT"
] | null | null | null | src/random_subset.py | KaiFabi/NeuroEvolution | 2ecbff626547e3745ba51135f43bce606f93f404 | [
"MIT"
] | null | null | null | src/random_subset.py | KaiFabi/NeuroEvolution | 2ecbff626547e3745ba51135f43bce606f93f404 | [
"MIT"
] | null | null | null | """Random subset dataset.
"""
import random
import numpy as np
import torch
from torch.utils.data import Dataset
from PIL import Image
| 31.191011 | 100 | 0.611671 |
2b604002fb5b796426d2078ad7992b9e321f4415 | 804 | py | Python | A3C/agent.py | gungui98/deeprl-a3c-ai2thor | 5a2699f0a4bc5fe8cd54b0f38b898e023d163e29 | [
"MIT"
] | 1 | 2020-12-14T13:11:24.000Z | 2020-12-14T13:11:24.000Z | A3C/agent.py | gungui98/deeprl-a3c-ai2thor | 5a2699f0a4bc5fe8cd54b0f38b898e023d163e29 | [
"MIT"
] | 13 | 2020-01-28T22:42:44.000Z | 2022-03-11T23:47:10.000Z | A3C/agent.py | gungui98/deeprl-a3c-ai2thor | 5a2699f0a4bc5fe8cd54b0f38b898e023d163e29 | [
"MIT"
] | 2 | 2019-06-26T05:03:12.000Z | 2021-03-29T08:26:07.000Z | import numpy as np
from keras.optimizers import RMSprop
| 28.714286 | 87 | 0.599502 |
2b6092497777272f3c9eff71d04f360c6510a763 | 12,676 | py | Python | genestack_client/scripts/genestack_user_setup.py | genestack/python-client | 083eb0508dc99c7575ba7f115595f2535f007583 | [
"MIT"
] | 2 | 2017-08-30T22:32:59.000Z | 2021-07-20T10:08:23.000Z | genestack_client/scripts/genestack_user_setup.py | genestack/python-client | 083eb0508dc99c7575ba7f115595f2535f007583 | [
"MIT"
] | 58 | 2015-10-19T08:36:00.000Z | 2020-12-07T13:48:17.000Z | genestack_client/scripts/genestack_user_setup.py | genestack/python-client | 083eb0508dc99c7575ba7f115595f2535f007583 | [
"MIT"
] | 6 | 2015-10-21T21:43:45.000Z | 2021-01-06T20:33:53.000Z | #!python
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases()
from builtins import input
from builtins import *
import os
impor... | 31.376238 | 108 | 0.620069 |
2b6191475f019807f6bd7d0f8f48a68519948cff | 440 | py | Python | _task.py | zemogle/twittervotes | 7555d80f2b07c9d5cfae2d6e511f159259c2dbfb | [
"MIT"
] | null | null | null | _task.py | zemogle/twittervotes | 7555d80f2b07c9d5cfae2d6e511f159259c2dbfb | [
"MIT"
] | null | null | null | _task.py | zemogle/twittervotes | 7555d80f2b07c9d5cfae2d6e511f159259c2dbfb | [
"MIT"
] | null | null | null | from tempfile import mkstemp
import os
import tinys3
| 22 | 97 | 0.688636 |
2b619974b791b3dc319a188eb0b8ea38e14618c6 | 386 | py | Python | build_scripts/install_deps.py | kamranrad1993/ngfx | eeef60e3419a88371a97e8bc3109d2b35b82cc89 | [
"Apache-2.0",
"MIT-0",
"MIT"
] | 12 | 2021-04-03T16:50:22.000Z | 2022-03-18T07:14:14.000Z | build_scripts/install_deps.py | kamranrad1993/ngfx | eeef60e3419a88371a97e8bc3109d2b35b82cc89 | [
"Apache-2.0",
"MIT-0",
"MIT"
] | 6 | 2021-05-06T21:02:19.000Z | 2022-02-14T11:57:27.000Z | build_scripts/install_deps.py | kamranrad1993/ngfx | eeef60e3419a88371a97e8bc3109d2b35b82cc89 | [
"Apache-2.0",
"MIT-0",
"MIT"
] | 5 | 2021-06-11T20:15:37.000Z | 2022-03-18T07:14:21.000Z | from common import *
os.chdir(EXTERNAL_DIR)
PKGS = env('PKGS', 'all')
ninja_template = read_file(f'{SCRIPT_DIR}/install_deps_{OS_LOWER_CASE}.ninja.in')
write_file(f'install_deps_{OS_LOWER_CASE}.ninja', ninja_template.format(**ENV_PARAMS))
for key, val in ENV_PARAMS.items():
print(f'{key} = {val}')
shel... | 32.166667 | 87 | 0.715026 |
2b623892d5b3f6ccac316343b3491435d7f31554 | 14,568 | py | Python | ooobuild/lo/inspection/x_property_handler.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/inspection/x_property_handler.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/inspection/x_property_handler.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: // www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 61.468354 | 410 | 0.734075 |
2b632497a6ea6fdf0bb92e774fc99e0e6b5fa507 | 957 | py | Python | en16931/tests/test_tax.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | 9 | 2018-07-09T10:34:27.000Z | 2021-10-13T20:11:04.000Z | en16931/tests/test_tax.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | null | null | null | en16931/tests/test_tax.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | 1 | 2022-02-07T15:30:53.000Z | 2022-02-07T15:30:53.000Z | import pytest
from collections import Hashable
from en16931.tax import Tax
| 23.925 | 44 | 0.572623 |
2b67f9f4b7c716e2fcb690bddba581117766a0e8 | 6,285 | py | Python | tools/data/textrecog/lsvt_converter.py | TeyrCrimson/mmocr | 3059c97dc53b000a1509916ad30223329d926b02 | [
"Apache-2.0"
] | 1 | 2022-02-21T18:38:57.000Z | 2022-02-21T18:38:57.000Z | tools/data/textrecog/lsvt_converter.py | TeyrCrimson/mmocr | 3059c97dc53b000a1509916ad30223329d926b02 | [
"Apache-2.0"
] | null | null | null | tools/data/textrecog/lsvt_converter.py | TeyrCrimson/mmocr | 3059c97dc53b000a1509916ad30223329d926b02 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os.path as osp
from functools import partial
import mmcv
from mmocr.utils.fileio import list_to_file
def convert_lsvt(root_path,
split,
ratio,
preserve_vertical,
... | 31.425 | 79 | 0.59825 |
2b6800c9e35b30d919c5fb6ac7e188c956250fd2 | 1,338 | py | Python | qgisserver/migrations/0012_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 5 | 2018-06-07T12:54:35.000Z | 2022-01-14T10:38:38.000Z | qgisserver/migrations/0012_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 140 | 2018-06-18T10:27:28.000Z | 2022-03-23T09:53:15.000Z | qgisserver/migrations/0012_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 1 | 2021-04-13T11:20:54.000Z | 2021-04-13T11:20:54.000Z | # Generated by Django 2.1.7 on 2019-03-05 10:11
from django.db import migrations, models
import qgisserver.models
| 38.228571 | 219 | 0.637519 |
2b680ea7b1f70745bf7ad7e84d9f3370176b1740 | 905 | py | Python | tests/test_error43.py | xlevus/virsh-patcher | a1e37875f52b534302a234524fb5c172052e4ea8 | [
"BSD-2-Clause"
] | 52 | 2017-12-30T03:49:06.000Z | 2021-10-08T09:43:55.000Z | tests/test_error43.py | xlevus/virsh-patcher | a1e37875f52b534302a234524fb5c172052e4ea8 | [
"BSD-2-Clause"
] | 7 | 2017-12-30T20:36:02.000Z | 2021-11-18T14:12:04.000Z | tests/test_error43.py | xlevus/virsh-patcher | a1e37875f52b534302a234524fb5c172052e4ea8 | [
"BSD-2-Clause"
] | 12 | 2017-12-30T16:43:44.000Z | 2020-06-13T22:37:11.000Z | from xml.etree import ElementTree as ET
import pytest
from virshpatcher.patcher import PatchE43
from conftest import assert_nodes, assert_noop
| 19.673913 | 46 | 0.646409 |
2b6933c7fbf6d07d10feccd70de52addfefb38ae | 658 | py | Python | python/tests/structural/test_decorator.py | harkhuang/designpatterns | dfd6623976410882753913498158dcb0ea70c1d2 | [
"Apache-2.0"
] | null | null | null | python/tests/structural/test_decorator.py | harkhuang/designpatterns | dfd6623976410882753913498158dcb0ea70c1d2 | [
"Apache-2.0"
] | null | null | null | python/tests/structural/test_decorator.py | harkhuang/designpatterns | dfd6623976410882753913498158dcb0ea70c1d2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from patterns.structural.decorator import TextTag, BoldWrapper, ItalicWrapper
| 34.631579 | 113 | 0.700608 |
2b698ce13143fcc28991e328f0a79a6a16286e7e | 436 | py | Python | src/examples/quick.py | CorvusPrudens/Enca | 67551b56a8a2a87b62d764602ebaa03f17982518 | [
"MIT"
] | null | null | null | src/examples/quick.py | CorvusPrudens/Enca | 67551b56a8a2a87b62d764602ebaa03f17982518 | [
"MIT"
] | null | null | null | src/examples/quick.py | CorvusPrudens/Enca | 67551b56a8a2a87b62d764602ebaa03f17982518 | [
"MIT"
] | null | null | null |
import re
instr = re.compile(r'[ \t]*[a-z]+ ([a-z0-9\[\]]+,? *)*')
data = []
with open("conditionals.enc", "r") as file:
for line in file:
data.append(line)
from random import choice
conditions = ['zero', 'carry', 'negative', 'equal', 'greater', 'less']
with open("cond.enc", 'w') as file:
for line in data:... | 22.947368 | 70 | 0.58945 |
2b6c100ee8f1547641e68cab2715c64adeacd4dd | 1,184 | py | Python | inference/torch_model/transformer/transformer.py | TAViT2022/TAViT | 6ea42150c57af0e0618675565440df85121cf50a | [
"Apache-2.0"
] | null | null | null | inference/torch_model/transformer/transformer.py | TAViT2022/TAViT | 6ea42150c57af0e0618675565440df85121cf50a | [
"Apache-2.0"
] | null | null | null | inference/torch_model/transformer/transformer.py | TAViT2022/TAViT | 6ea42150c57af0e0618675565440df85121cf50a | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from einops.layers.torch import Rearrange
| 34.823529 | 84 | 0.502534 |
2b6da2f0c9b5f0cefbd0075526e9eb021fc084e9 | 2,092 | py | Python | dosu/utils.py | tsandrini/DoSU | 312afb1c1dccaf5088b8d5818adf08d5406076ae | [
"MIT"
] | null | null | null | dosu/utils.py | tsandrini/DoSU | 312afb1c1dccaf5088b8d5818adf08d5406076ae | [
"MIT"
] | 2 | 2017-02-07T08:23:34.000Z | 2017-09-09T08:46:25.000Z | dosu/utils.py | tsandrini/dosu | 312afb1c1dccaf5088b8d5818adf08d5406076ae | [
"MIT"
] | null | null | null | """
__/\\\\\\\\\\\\______________________/\\\\\\\\\\\____/\\\________/\\\_
_\/\\\////////\\\__________________/\\\/////////\\\_\/\\\_______\/\\\_
_\/\\\______\//\\\________________\//\\\______\///__\/\\\_______\/\\\_
_\/\\\_______\/\\\_____/\\\\\______\////\\\_________\/\\\_______\/\\\_
_\/\\\_______\/\\\___/... | 27.168831 | 91 | 0.498566 |
2b6dbaaeee834ce10b296c5ec51a9014d0fbab68 | 2,113 | py | Python | mod/bad_images.py | lokal-profil/isfdb_site | 0ce20d6347849926d4eda961ea9249c31519eea5 | [
"BSD-3-Clause"
] | null | null | null | mod/bad_images.py | lokal-profil/isfdb_site | 0ce20d6347849926d4eda961ea9249c31519eea5 | [
"BSD-3-Clause"
] | null | null | null | mod/bad_images.py | lokal-profil/isfdb_site | 0ce20d6347849926d4eda961ea9249c31519eea5 | [
"BSD-3-Clause"
] | null | null | null | #!_PYTHONLOC
#
# (C) COPYRIGHT 2014-2021 Ahasuerus
# ALL RIGHTS RESERVED
#
# The copyright notice above does not evidence any actual or
# intended publication of such source code.
#
# Version: $Revision$
# Date: $Date$
from isfdb import *
from common import *
from isfdblib import *
from ... | 30.185714 | 97 | 0.54567 |
2b6e242775999039db97b7ad1387761e2155fb1f | 117 | py | Python | W3Schools Online Lessons/ML/Normal Data Distribution.py | Hetti219/Python-Projects | cf483836496d329ea056928b719e485cbab303a8 | [
"MIT"
] | 1 | 2021-12-13T06:04:57.000Z | 2021-12-13T06:04:57.000Z | W3Schools Online Lessons/ML/Normal Data Distribution.py | Hetti219/Python-Projects | cf483836496d329ea056928b719e485cbab303a8 | [
"MIT"
] | null | null | null | W3Schools Online Lessons/ML/Normal Data Distribution.py | Hetti219/Python-Projects | cf483836496d329ea056928b719e485cbab303a8 | [
"MIT"
] | null | null | null | import numpy
import matplotlib.pyplot as plt
x = numpy.random.normal(1.9, 1.0, 109324)
plt.hist(x, 100)
plt.show()
| 14.625 | 41 | 0.717949 |
2b6e8e31e13f5f8be39e53404e2a14e1327af75b | 4,982 | py | Python | magma/t.py | leonardt/magma | d3e8c9500ec3b167df8ed067e0c0305781c94ab6 | [
"MIT"
] | 167 | 2017-10-08T00:59:22.000Z | 2022-02-08T00:14:39.000Z | magma/t.py | leonardt/magma | d3e8c9500ec3b167df8ed067e0c0305781c94ab6 | [
"MIT"
] | 719 | 2017-08-29T17:58:28.000Z | 2022-03-31T23:39:18.000Z | magma/t.py | leonardt/magma | d3e8c9500ec3b167df8ed067e0c0305781c94ab6 | [
"MIT"
] | 14 | 2017-09-01T03:25:16.000Z | 2021-11-05T13:30:24.000Z | import abc
import enum
from magma.common import deprecated
from magma.compatibility import IntegerTypes, StringTypes
from magma.ref import AnonRef, NamedRef, TempNamedRef, DefnRef, InstRef
from magma.protocol_type import magma_value
from magma.wire import wire
def __imatmul__(self, other):
other = magma_... | 26.784946 | 79 | 0.61381 |
2b6f5015f37c257a07fcf7c93dc55530a55149b2 | 284 | py | Python | src/python/baekjoon/10996.py | Hyeon9mak/Baekjoon | 1595eeb260eaf41cc191bd4bbda5a9a2a817f1bd | [
"MIT"
] | null | null | null | src/python/baekjoon/10996.py | Hyeon9mak/Baekjoon | 1595eeb260eaf41cc191bd4bbda5a9a2a817f1bd | [
"MIT"
] | null | null | null | src/python/baekjoon/10996.py | Hyeon9mak/Baekjoon | 1595eeb260eaf41cc191bd4bbda5a9a2a817f1bd | [
"MIT"
] | null | null | null | N = int(input())
R = []
for i in range(0, N*2) :
if i%2 == 0 : R.append("*")
else : R.append(" ")
for l in range(0, N) :
P1 = P2 = ""
for i in range(0, N) :
P1 += R[i]
print(P1)
for i in range(N*2-1, N-1, -1) :
P2 += R[i]
print(P2) | 18.933333 | 36 | 0.408451 |
2b6feb1cef348bca9825e944d5a9fb0cff80f7de | 799 | py | Python | analysededonneesavecnumpy/effectuerdescomparaisons1.py | haxuyennt38/python-learning | c5fcfc0abfd4aebf4ce58e2f23d378703bd48430 | [
"MIT"
] | null | null | null | analysededonneesavecnumpy/effectuerdescomparaisons1.py | haxuyennt38/python-learning | c5fcfc0abfd4aebf4ce58e2f23d378703bd48430 | [
"MIT"
] | null | null | null | analysededonneesavecnumpy/effectuerdescomparaisons1.py | haxuyennt38/python-learning | c5fcfc0abfd4aebf4ce58e2f23d378703bd48430 | [
"MIT"
] | null | null | null | import numpy as np
vector = np.array([5, 10, 15, 20])
equal_to_ten = (vector == 10)
print(equal_to_ten)
matrix = np.array([[10, 25, 30], [45, 50, 55], [60, 65, 70]])
equal_to_25 = (matrix[:, 1]) == 25
print(equal_to_25)
##Lire le dataset world_alcohol.csv dans la variable world_alcohol
world_alcohol = np.genf... | 26.633333 | 135 | 0.725907 |
2b7232f90a535ad8f5b268e20e520ac98a6345eb | 2,089 | py | Python | evaluator/base_evaluator.py | marsggbo/CovidNet3D | 0aeca91a775f938a0e568dd88d8162473dacf3ce | [
"MIT"
] | 5 | 2021-02-23T06:43:31.000Z | 2021-07-05T15:24:05.000Z | evaluator/base_evaluator.py | etherx-dev/CovidNet3D | b107d7d965cad07f1890ee492857273f3468cc01 | [
"MIT"
] | 1 | 2021-06-08T21:06:10.000Z | 2021-06-08T21:06:10.000Z | evaluator/base_evaluator.py | etherx-dev/CovidNet3D | b107d7d965cad07f1890ee492857273f3468cc01 | [
"MIT"
] | 4 | 2021-02-01T03:29:16.000Z | 2021-08-05T09:13:37.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import argparse
import json
import logging
import os
import time
from argparse import ArgumentParser
import numpy as np
import torch
import torch.nn as nn
from torch.utils.tensorboard import SummaryWriter
import nni
from datasets import build_d... | 26.443038 | 76 | 0.675443 |
2b7251fa09e748344135d3c130fa94ac701bd531 | 5,147 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/community/vmware/plugins/modules/vmware_content_library_info.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 7 | 2021-11-16T04:05:42.000Z | 2022-02-19T21:14:29.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/vmware/plugins/modules/vmware_content_library_info.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/vmware/plugins/modules/vmware_content_library_info.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2022-03-01T05:43:07.000Z | 2022-03-01T05:43:07.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2019, Ansible Project
# Copyright: (c) 2019, Pavan Bidkar <pbidkar@vmware.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
... | 34.313333 | 131 | 0.687974 |
2b73a402cb39b2f0ed382c6d56128b9958ad2807 | 3,302 | py | Python | recirq/qml_lfe/circuit_blocks_test.py | MarkDaoust/ReCirq | 0838e2732851a3a9d8cce1afac25b0d51a413f0a | [
"Apache-2.0"
] | null | null | null | recirq/qml_lfe/circuit_blocks_test.py | MarkDaoust/ReCirq | 0838e2732851a3a9d8cce1afac25b0d51a413f0a | [
"Apache-2.0"
] | null | null | null | recirq/qml_lfe/circuit_blocks_test.py | MarkDaoust/ReCirq | 0838e2732851a3a9d8cce1afac25b0d51a413f0a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google
#
# 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, soft... | 32.372549 | 84 | 0.633253 |
2b73f9e0f4d58027edcb5a930b93dd8c81053c54 | 350 | py | Python | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 13 | 2015-11-30T15:49:45.000Z | 2022-02-08T16:11:30.000Z | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 640 | 2015-02-11T18:55:47.000Z | 2022-03-31T14:12:23.000Z | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectronsPreRegression_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 51 | 2015-08-11T21:01:40.000Z | 2022-03-30T07:31:34.000Z | from RecoEgamma.EgammaElectronProducers.gsfElectrons_cfi import ecalDrivenGsfElectrons
lowPtGsfElectronsPreRegression = ecalDrivenGsfElectrons.clone(gsfElectronCoresTag = "lowPtGsfElectronCores")
from Configuration.Eras.Modifier_fastSim_cff import fastSim
fastSim.toModify(lowPtGsfElectronsPreRegression,ctfTracksTag =... | 50 | 108 | 0.897143 |
2b73fa429d2f99e7400e0b73f68e23d4093c7080 | 46 | py | Python | tests/fixtures/script-files/sample_script.py | avoltz/poetry-core | e4d04bab77915b8ec5e995c9b88b539bacb55bc8 | [
"MIT"
] | 205 | 2020-07-03T13:01:07.000Z | 2022-03-27T09:56:16.000Z | tests/fixtures/script-files/sample_script.py | avoltz/poetry-core | e4d04bab77915b8ec5e995c9b88b539bacb55bc8 | [
"MIT"
] | 149 | 2020-06-28T00:02:05.000Z | 2022-03-29T14:35:58.000Z | tests/fixtures/script-files/sample_script.py | avoltz/poetry-core | e4d04bab77915b8ec5e995c9b88b539bacb55bc8 | [
"MIT"
] | 152 | 2020-06-27T00:04:52.000Z | 2022-03-28T15:50:40.000Z | #!/usr/bin/env python
hello = "Hello World!"
| 11.5 | 22 | 0.652174 |
2b75551cd2d7ea8e68ffa526133f1c22b78f2a55 | 494 | py | Python | example/models.py | acdh-oeaw/django-gnd | 48e4d11bad0fb9ee11cc386d5f401480551e871c | [
"MIT"
] | null | null | null | example/models.py | acdh-oeaw/django-gnd | 48e4d11bad0fb9ee11cc386d5f401480551e871c | [
"MIT"
] | null | null | null | example/models.py | acdh-oeaw/django-gnd | 48e4d11bad0fb9ee11cc386d5f401480551e871c | [
"MIT"
] | null | null | null | from django.db import models
from django.urls import reverse
from gnd.models import GndPersonBase
| 24.7 | 67 | 0.722672 |
2b75db05dad24a6a1243b29f46ad745c9c2181c9 | 535 | py | Python | programs/migrations/0004_auto_20200708_1510.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | 2 | 2020-09-04T17:06:41.000Z | 2020-10-05T01:46:20.000Z | programs/migrations/0004_auto_20200708_1510.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | null | null | null | programs/migrations/0004_auto_20200708_1510.py | bycristhian/psp | 019825e010386b6acc8c5466e7a6765218cb10d9 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-07-08 20:10
from django.db import migrations, models
| 22.291667 | 49 | 0.571963 |
2b76074f6c6e9f21f01241dacdb81730768d55e8 | 3,643 | py | Python | example.py | Resident234/dejavu | 607811a60388f024d8dd52b47030b4271e4660f3 | [
"MIT"
] | null | null | null | example.py | Resident234/dejavu | 607811a60388f024d8dd52b47030b4271e4660f3 | [
"MIT"
] | null | null | null | example.py | Resident234/dejavu | 607811a60388f024d8dd52b47030b4271e4660f3 | [
"MIT"
] | null | null | null | import warnings
import json
import logging
import datetime
import threading, time
import vlc
import os
import sys
#import multiprocessing
from multiprocessing import Process
warnings.filterwarnings("ignore")
from dejavu import Dejavu
from dejavu.recognize import FileRecognizer, MicrophoneRecognizer
from dejavu.record... | 35.715686 | 101 | 0.715619 |
2b7661631e26d7c909ec01b827d25a4ce6c56fb8 | 1,096 | py | Python | nabu/postprocessing/reconstructors/weighted_kmeans.py | Darleen2019/Nabu-MSSS | 5e862cbf846d45b8a317f87588533f3fde9f0726 | [
"MIT"
] | 18 | 2017-10-16T13:12:46.000Z | 2022-02-15T01:20:00.000Z | nabu/postprocessing/reconstructors/weighted_kmeans.py | Darleen2019/Nabu-MSSS | 5e862cbf846d45b8a317f87588533f3fde9f0726 | [
"MIT"
] | null | null | null | nabu/postprocessing/reconstructors/weighted_kmeans.py | Darleen2019/Nabu-MSSS | 5e862cbf846d45b8a317f87588533f3fde9f0726 | [
"MIT"
] | 9 | 2017-10-03T18:10:10.000Z | 2020-11-13T08:26:31.000Z | # Based on: https://towardsdatascience.com/clustering-the-us-population-observation-weighted-k-means-f4d58b370002
import random
import numpy as np
import scipy.spatial
| 29.621622 | 113 | 0.720803 |
2b7ab663452a80c4be262712173532cb7f06dc77 | 2,339 | py | Python | Web.PY/client-post.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | Web.PY/client-post.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | Web.PY/client-post.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | ###
# Python http post example.
#
# License - MIT.
###
import os
# pip install requests.
import requests
# pip install lxml
# pip install beautifulsoup4
from bs4 import BeautifulSoup
# login github class.
# }
# Main function.
def main():
# {
test_page = 'https://github.com/torvalds/linux'
print('Login ... | 20.163793 | 128 | 0.535271 |
2b7b4342609278d1a046c18ba64c0b30f5c732af | 7,772 | py | Python | wqxlib/wqx_v3_0/BiologicalHabitatCollectionInformation.py | FlippingBinary/wqxlib-python | 5aa1d41384928f1faca47d5984485e2efa93174c | [
"MIT"
] | null | null | null | wqxlib/wqx_v3_0/BiologicalHabitatCollectionInformation.py | FlippingBinary/wqxlib-python | 5aa1d41384928f1faca47d5984485e2efa93174c | [
"MIT"
] | null | null | null | wqxlib/wqx_v3_0/BiologicalHabitatCollectionInformation.py | FlippingBinary/wqxlib-python | 5aa1d41384928f1faca47d5984485e2efa93174c | [
"MIT"
] | null | null | null | from yattag import Doc
from .CollectionEffort import CollectionEffort
from .MeasureCompact import MeasureCompact
from .NetInformation import NetInformation
from .SimpleContent import CollectionDescriptionText, PassCount
| 41.340426 | 88 | 0.665208 |
2b7b76037a4e898e16254c3e5645a41b057d31df | 2,434 | py | Python | Python/Search/Search-1-Billion-Users.py | sethmh82/SethDevelopment | 08f3bd22923b652f9d676ffa2af3dc037eed6d73 | [
"MIT"
] | null | null | null | Python/Search/Search-1-Billion-Users.py | sethmh82/SethDevelopment | 08f3bd22923b652f9d676ffa2af3dc037eed6d73 | [
"MIT"
] | null | null | null | Python/Search/Search-1-Billion-Users.py | sethmh82/SethDevelopment | 08f3bd22923b652f9d676ffa2af3dc037eed6d73 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 29 15:50:49 2020
@author: SethHarden
"""
import math
# Add any extra import statements you may need here
"""
We have N different apps with differnt user growth rates.
At a given time (t)
Measure in days (d)
the number of users using an app is g ^ t
can be a float
G =... | 22.962264 | 82 | 0.670501 |
2b7b79f498f068eefb83d8e90c391e5196855fa6 | 26,109 | py | Python | pysnmp/SYMMCOMMONPTP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/SYMMCOMMONPTP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/SYMMCOMMONPTP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module SYMMCOMMONPTP (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/neermitt/Dev/kusanagi/mibs.snmplabs.com/asn1/SYMMCOMMONPTP
# Produced by pysmi-0.3.4 at Tue Jul 30 11:34:16 2019
# On host NEERMITT-M-J0NV platform Darwin version 18.6.0 by user neermitt
# Using Python version 3.7.4 (default, J... | 109.242678 | 3,472 | 0.747865 |
990c69f4925b4b4e3e4b2bab37130ecee4f8f725 | 960 | py | Python | 033.Search in Rotated Sorted Array/better.py | hotheat/LeetCode | c37f44f71a0e266aa8078c95506e6aa54ce4660c | [
"MIT"
] | 2 | 2019-03-05T08:31:14.000Z | 2019-03-21T15:11:43.000Z | 033.Search in Rotated Sorted Array/better.py | hotheat/LeetCode | c37f44f71a0e266aa8078c95506e6aa54ce4660c | [
"MIT"
] | null | null | null | 033.Search in Rotated Sorted Array/better.py | hotheat/LeetCode | c37f44f71a0e266aa8078c95506e6aa54ce4660c | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
s = Solution()
nums = [1, 3]
target = 3
print(s.search(nums, target) == 1)
nums = [4, 5, 6, 7, 8, 1, 2]
target = 1
print(s.search(nums, target) == 5)
nums = [3, 1]
target = 1
print(s.search(nums, target) == 1)
| 24.615385 | 53 | 0.4 |
990d999fd69482a15fa5ce17aef975e84d69d8f0 | 1,833 | py | Python | app/grandchallenge/workstations/urls.py | njmhendrix/grand-challenge.org | 9bc36f5e26561a78bd405e8ea5e4c0f86c95f011 | [
"Apache-2.0"
] | 1 | 2021-02-09T10:30:44.000Z | 2021-02-09T10:30:44.000Z | app/grandchallenge/workstations/urls.py | njmhendrix/grand-challenge.org | 9bc36f5e26561a78bd405e8ea5e4c0f86c95f011 | [
"Apache-2.0"
] | null | null | null | app/grandchallenge/workstations/urls.py | njmhendrix/grand-challenge.org | 9bc36f5e26561a78bd405e8ea5e4c0f86c95f011 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from grandchallenge.workstations.views import (
SessionCreate,
WorkstationCreate,
WorkstationDetail,
WorkstationEditorsUpdate,
WorkstationImageCreate,
WorkstationImageDetail,
WorkstationImageUpdate,
WorkstationList,
WorkstationUpdate,
WorkstationUser... | 25.816901 | 71 | 0.608838 |
990db22298c48babfa7d964bd01247b4e2c9daad | 4,730 | py | Python | terminalcolor/TerminalColor.py | cheongwoli/PythonTerminalTextColor | 91f44f5dc9b66f4787ede9ba363b47ce72ab653f | [
"MIT"
] | null | null | null | terminalcolor/TerminalColor.py | cheongwoli/PythonTerminalTextColor | 91f44f5dc9b66f4787ede9ba363b47ce72ab653f | [
"MIT"
] | null | null | null | terminalcolor/TerminalColor.py | cheongwoli/PythonTerminalTextColor | 91f44f5dc9b66f4787ede9ba363b47ce72ab653f | [
"MIT"
] | null | null | null | from enum import Enum
from typing import Any
__all__ = ['ctext', 'cprint']
def cprint(text: str, **kwargs: Any):
"""
:param text: Text parameters can only contain string type values.
:param kwargs: The kwargs parameter accepts color, bg_color, and text_type values.
:return: Print colored text.
... | 29.197531 | 99 | 0.582241 |
990dd6346352d50323847ab920af6728e39eb192 | 5,880 | py | Python | 2021/day_23/solution_first.py | krother/advent_of_code | fd7d5199666b2f3a60c41c6cf24b747322ad88e5 | [
"MIT"
] | 3 | 2021-12-01T09:27:34.000Z | 2022-02-24T23:35:56.000Z | 2021/day_23/solution_first.py | krother/advent_of_code | fd7d5199666b2f3a60c41c6cf24b747322ad88e5 | [
"MIT"
] | null | null | null | 2021/day_23/solution_first.py | krother/advent_of_code | fd7d5199666b2f3a60c41c6cf24b747322ad88e5 | [
"MIT"
] | null | null | null | """title
https://adventofcode.com/2021/day/23
"""
from heapq import heappush, heappop
import itertools
entry_finder = {} # mapping of tasks to entries
REMOVED = '<removed-task>' # placeholder for a removed task
counter = itertools.count() # unique sequence count
def add_task(pq, task, priori... | 32.131148 | 99 | 0.430612 |
990e9f8c1c95014b70321c97ccabc51b75a24bab | 8,829 | py | Python | Project10- Bank Marketing.py | vaibhav162/Banking-Marketing-Project | 1255338b0a844a6a662e3b1887e9cef1a9edc834 | [
"Unlicense"
] | null | null | null | Project10- Bank Marketing.py | vaibhav162/Banking-Marketing-Project | 1255338b0a844a6a662e3b1887e9cef1a9edc834 | [
"Unlicense"
] | null | null | null | Project10- Bank Marketing.py | vaibhav162/Banking-Marketing-Project | 1255338b0a844a6a662e3b1887e9cef1a9edc834 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Importing Libraries and Dataset
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# In[2]:
bank= pd.read_csv(r"C:\Users\shruti\Desktop\Decodr\Project\Decodr Project\Bank marketing project\bank.csv", delimiter=";")
# ... | 19.930023 | 123 | 0.654094 |
990ee382aab29a71c3680acb076db25c10304e41 | 829 | py | Python | backend/recotem/recotem/api/serializers/project.py | codelibs/recotem | 383ccdd6e1e9feb59bc3adb2543c00b08277317a | [
"Apache-2.0"
] | 7 | 2021-05-15T05:43:36.000Z | 2022-01-06T16:08:06.000Z | backend/recotem/recotem/api/serializers/project.py | codelibs/recotem | 383ccdd6e1e9feb59bc3adb2543c00b08277317a | [
"Apache-2.0"
] | 5 | 2021-09-25T13:30:38.000Z | 2022-01-09T12:59:03.000Z | backend/recotem/recotem/api/serializers/project.py | codelibs/recotem | 383ccdd6e1e9feb59bc3adb2543c00b08277317a | [
"Apache-2.0"
] | 1 | 2021-11-02T12:49:06.000Z | 2021-11-02T12:49:06.000Z | from rest_framework import serializers
from recotem.api.models import Project, TrainingData
| 29.607143 | 80 | 0.756333 |
990f081cf786ca103dae8b228c500e2155c243cf | 1,222 | py | Python | rest_api.py | OHNLP/clinical-problem-standardization | c321995ae73df3dc56b0bf6c31eecb62efa778f8 | [
"Apache-2.0"
] | 5 | 2020-11-02T13:05:52.000Z | 2021-09-01T08:58:37.000Z | rest_api.py | OHNLP/clinical-problem-standardization | c321995ae73df3dc56b0bf6c31eecb62efa778f8 | [
"Apache-2.0"
] | null | null | null | rest_api.py | OHNLP/clinical-problem-standardization | c321995ae73df3dc56b0bf6c31eecb62efa778f8 | [
"Apache-2.0"
] | 1 | 2022-01-11T07:40:28.000Z | 2022-01-11T07:40:28.000Z | '''
REST API for processing free-text diagnosis statements into either:
(1) OWL class expressions
(2) FHIR Condition Resources
(3) SNOMED CT Expressions
(4) Raw concept relationship graphs
'''
from flask import Flask, request
import api
from transformers.transform import FhirConditionTransformer, Snom... | 26 | 124 | 0.665303 |
991017651505a9d35a90ce7b248668965221e4af | 9,360 | py | Python | hvplot/tests/testgridplots.py | lhoupert/hvplot | 9320892fdd987673d8ac32f716a15e95c6a68f0a | [
"BSD-3-Clause"
] | 338 | 2019-11-13T17:17:23.000Z | 2022-03-30T13:28:54.000Z | hvplot/tests/testgridplots.py | lhoupert/hvplot | 9320892fdd987673d8ac32f716a15e95c6a68f0a | [
"BSD-3-Clause"
] | 368 | 2019-11-13T15:43:50.000Z | 2022-03-31T17:06:06.000Z | hvplot/tests/testgridplots.py | lhoupert/hvplot | 9320892fdd987673d8ac32f716a15e95c6a68f0a | [
"BSD-3-Clause"
] | 55 | 2019-12-01T17:17:14.000Z | 2022-03-30T13:53:40.000Z | from unittest import SkipTest
from collections import OrderedDict
import numpy as np
from holoviews import Store
from holoviews.element import RGB, Image
from holoviews.element.comparison import ComparisonTestCase
try:
import xarray as xr
except:
raise SkipTest('XArray not available')
else:
import hvplot.... | 48.247423 | 99 | 0.623718 |
991358870fab4f286bd0fbb05c299b47d4d4968c | 496 | py | Python | countries/regions/NorthAmerica.py | vincihb/paper_database | f97ebdcc2bba3ecee3590cde12a5a5f71d26451d | [
"MIT"
] | null | null | null | countries/regions/NorthAmerica.py | vincihb/paper_database | f97ebdcc2bba3ecee3590cde12a5a5f71d26451d | [
"MIT"
] | null | null | null | countries/regions/NorthAmerica.py | vincihb/paper_database | f97ebdcc2bba3ecee3590cde12a5a5f71d26451d | [
"MIT"
] | null | null | null | from countries.Countries import Countries
if __name__ == "__main__":
a = NorthAmerica()
papers = a.all_papers
print(len(papers))
# print(dict(sorted(a.get_themes_distribution_secondary().items(), key=lambda x: x[1], reverse=True)))
# print(a.get_watercode_distribution_secondary())
| 29.176471 | 106 | 0.689516 |
99139706c6cdeed0ff8ca7a2e98f407754c6d821 | 5,551 | py | Python | app/SuperPhy/models/sparql/genomes.py | superphy/semantic | 06b3885a6a3e424ba57be0c839ae2bd8a46364ac | [
"Apache-2.0"
] | 16 | 2015-09-23T17:19:35.000Z | 2020-05-26T16:02:54.000Z | app/SuperPhy/models/sparql/genomes.py | superphy/semantic | 06b3885a6a3e424ba57be0c839ae2bd8a46364ac | [
"Apache-2.0"
] | 21 | 2015-11-03T15:43:58.000Z | 2017-10-30T02:23:37.000Z | app/SuperPhy/models/sparql/genomes.py | superphy/semantic | 06b3885a6a3e424ba57be0c839ae2bd8a46364ac | [
"Apache-2.0"
] | 5 | 2015-10-19T17:12:39.000Z | 2018-09-10T16:19:56.000Z | #!/usr/bin/python
from SuperPhy.models.sparql.endpoint import Endpoint
from SuperPhy.models.sparql.prefixes import prefixes
def get_all_syndromes():
"""
input - None
output - list of all the unique syndromes
"""
string = prefixes + """
SELECT ?syndromes
WHERE
{
?_Syndrom... | 46.647059 | 832 | 0.652135 |
9913d53c298de5a6193b0026cb227fb8ff808714 | 514 | py | Python | AER_experimentalist/experiment_environment/IV.py | musslick/DARTS-Cognitive-Modeling | f38e7e34f6f20c1626458de62503e8670e06be7c | [
"MIT"
] | null | null | null | AER_experimentalist/experiment_environment/IV.py | musslick/DARTS-Cognitive-Modeling | f38e7e34f6f20c1626458de62503e8670e06be7c | [
"MIT"
] | null | null | null | AER_experimentalist/experiment_environment/IV.py | musslick/DARTS-Cognitive-Modeling | f38e7e34f6f20c1626458de62503e8670e06be7c | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from tinkerforge_variable import Tinkerforge_Variable
| 24.47619 | 53 | 0.68677 |
9914f1eb7d522b5e9bbcc11c80789693c323ca75 | 6,883 | py | Python | Machine Learning/T.py | WilliamPoch/Assignments | 3bc0039cb911faac5ef292379fcdebcbdb32f9a7 | [
"MIT"
] | null | null | null | Machine Learning/T.py | WilliamPoch/Assignments | 3bc0039cb911faac5ef292379fcdebcbdb32f9a7 | [
"MIT"
] | 2 | 2020-01-23T04:23:42.000Z | 2020-01-23T04:25:34.000Z | Machine Learning/T.py | WilliamPoch/Assignments | 3bc0039cb911faac5ef292379fcdebcbdb32f9a7 | [
"MIT"
] | null | null | null | from pyimagesearch.centroidtracker import CentroidTracker
from pyimagesearch.trackableobject import TrackableObject
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import dlib
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-... | 29.41453 | 71 | 0.67151 |
991506cf0b217aa63a0d5b836af39bb103c9d5b9 | 5,861 | py | Python | examples/generic_attributes/simulations/declarations.py | daniel17903/gcmi | 6952e29d40f681b2b6ca4769280e7279e54f365a | [
"BSD-2-Clause"
] | null | null | null | examples/generic_attributes/simulations/declarations.py | daniel17903/gcmi | 6952e29d40f681b2b6ca4769280e7279e54f365a | [
"BSD-2-Clause"
] | null | null | null | examples/generic_attributes/simulations/declarations.py | daniel17903/gcmi | 6952e29d40f681b2b6ca4769280e7279e54f365a | [
"BSD-2-Clause"
] | 1 | 2019-11-18T11:35:36.000Z | 2019-11-18T11:35:36.000Z | from enum import Enum
import math
from functools import reduce
import numpy as np
import os
import csv
test_id = 'test_name'
REALLOCATION_TIME_METHOD = "lin"
DIRECT_FIELD_SIZE = [48, 48, 8, 8]
DIRECT_FIELD_PROB = [0.003, 0.01, 0.002, 0.005]
MAX_SEVERITY = reallocation_overhead(num_tags(max(DIRECT_FIELD_S... | 33.491429 | 157 | 0.612523 |
991540a76bb19adafa006cda1d766716906af8f5 | 5,256 | py | Python | main.py | flairmix/tg_bot_coffee | 473ec811c9275c112ee6318f4f403fa5498f5da5 | [
"MIT"
] | null | null | null | main.py | flairmix/tg_bot_coffee | 473ec811c9275c112ee6318f4f403fa5498f5da5 | [
"MIT"
] | null | null | null | main.py | flairmix/tg_bot_coffee | 473ec811c9275c112ee6318f4f403fa5498f5da5 | [
"MIT"
] | null | null | null | from replit import db
import os
import telebot
from datetime import date, timedelta
API_KEY = os.getenv('API_KEY')
bot = telebot.TeleBot(API_KEY)
def check_day_for_pay(date_str, check_date):
if date_str == check_date.strftime('%Y/%m/%d'):
return True
else:
return False
def output_day_pay(... | 28.879121 | 84 | 0.615107 |
9916d543afa9793693e8a74e883356fdead657f7 | 1,823 | py | Python | tools/data_process.py | ztjryg4/HDUCourseCatalog | 87409fe13b1258ea15f1511cd70c7a2c7855ae25 | [
"MIT"
] | 5 | 2020-01-11T07:45:43.000Z | 2021-12-28T04:16:04.000Z | tools/data_process.py | ztjryg4/HDUCourseCatalog | 87409fe13b1258ea15f1511cd70c7a2c7855ae25 | [
"MIT"
] | null | null | null | tools/data_process.py | ztjryg4/HDUCourseCatalog | 87409fe13b1258ea15f1511cd70c7a2c7855ae25 | [
"MIT"
] | 1 | 2021-06-29T10:56:34.000Z | 2021-06-29T10:56:34.000Z | # coding:utf-8
import csv, codecs
import re
# csv
'''
col0
col1
col2
col3
col4
col5
col6
col7
col8 ele[9]
col9 ele[10]
col10 ele[8]
col11 ele[11]
'''
inputfile = './data/csv/2019-2020-2_split.csv'
outputfile = './data/csv/2019-2020-2-processed.csv'
fp = open(inputfile, 'r', encoding='utf-8')
lines = fp... | 25.676056 | 93 | 0.557323 |
9916fb8d182d602a570782ee12589c1e2cee079d | 7,775 | py | Python | src/karta_manual_anchor.py | CrackerCat/Karta | b845928487b50a5b41acd532ae0399177a4356aa | [
"MIT"
] | 716 | 2019-03-20T23:01:52.000Z | 2022-03-30T13:11:17.000Z | src/karta_manual_anchor.py | CrackerCat/Karta | b845928487b50a5b41acd532ae0399177a4356aa | [
"MIT"
] | 29 | 2019-03-21T13:01:34.000Z | 2021-12-19T05:07:42.000Z | src/karta_manual_anchor.py | CrackerCat/Karta | b845928487b50a5b41acd532ae0399177a4356aa | [
"MIT"
] | 97 | 2019-03-21T23:40:59.000Z | 2022-03-23T23:15:35.000Z | #!/usr/bin/python
from config.utils import *
from elementals import Prompter
from function_context import SourceContext, BinaryContext, IslandContext
import os
import sys
import argparse
import logging
from collections import defaultdict
def recordManualAnchors(library_config, knowledge_conf... | 42.255435 | 170 | 0.67254 |
99176ddce17b02aedad97987fb5821acd51770bd | 5,059 | py | Python | commemorativeCoins.py | AndrewLauu/CodeLib | 19a01d0ea94387caed4510dc5f1c98e1a4ffcfec | [
"MIT"
] | null | null | null | commemorativeCoins.py | AndrewLauu/CodeLib | 19a01d0ea94387caed4510dc5f1c98e1a4ffcfec | [
"MIT"
] | null | null | null | commemorativeCoins.py | AndrewLauu/CodeLib | 19a01d0ea94387caed4510dc5f1c98e1a4ffcfec | [
"MIT"
] | null | null | null | import logging
import os
import time
import requests
from lxml import etree
import urllib.parse
import json
import schedule
from colorama import Fore,init
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s: <%(funcName)s> - %(message)s',
... | 30.113095 | 141 | 0.645187 |
9918396b139801392f0a7cf201d6cd0639fc9b91 | 4,629 | py | Python | sandbox/test/test_misc.py | yingted/pysandbox | cb20c202459fc1b22a81e879c0efafc66e1ddd8a | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-02-05T13:13:09.000Z | 2019-02-05T13:13:09.000Z | sandbox/test/test_misc.py | yingted/pysandbox | cb20c202459fc1b22a81e879c0efafc66e1ddd8a | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | sandbox/test/test_misc.py | yingted/pysandbox | cb20c202459fc1b22a81e879c0efafc66e1ddd8a | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | from __future__ import with_statement
from sandbox import Sandbox, SandboxError, SandboxConfig, Timeout
from sandbox.test import createSandbox, createSandboxConfig, SkipTest
from sandbox.test.tools import capture_stdout
| 26.301136 | 76 | 0.600994 |
991a1106f9ceccd89a5e6d607fa5b313cdcc1de1 | 4,171 | py | Python | crawl/spiders/circulation_shareholders.py | maifusha/dongfangcaifu-stock-crawler | 6d20846b85b601a8b309d9dc47441d4b7409fbc0 | [
"MIT"
] | null | null | null | crawl/spiders/circulation_shareholders.py | maifusha/dongfangcaifu-stock-crawler | 6d20846b85b601a8b309d9dc47441d4b7409fbc0 | [
"MIT"
] | null | null | null | crawl/spiders/circulation_shareholders.py | maifusha/dongfangcaifu-stock-crawler | 6d20846b85b601a8b309d9dc47441d4b7409fbc0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""" """
import scrapy
import json
import time
from crawl import db
from crawl import helper
from crawl.models.Stock import Stock
from crawl.models.CirculationShareholder import CirculationShareholder
| 38.266055 | 132 | 0.607049 |
991a14e9940b831c177bd7fef5e9c7239bb18cfa | 298 | py | Python | mayan/apps/ocr/literals.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 2 | 2021-09-12T19:41:19.000Z | 2021-09-12T19:41:20.000Z | mayan/apps/ocr/literals.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 37 | 2021-09-13T01:00:12.000Z | 2021-10-02T03:54:30.000Z | mayan/apps/ocr/literals.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 1 | 2021-09-22T13:17:30.000Z | 2021-09-22T13:17:30.000Z | DEFAULT_OCR_AUTO_OCR = True
DEFAULT_OCR_BACKEND = 'mayan.apps.ocr.backends.tesseract.Tesseract'
DEFAULT_OCR_BACKEND_ARGUMENTS = {'environment': {'OMP_THREAD_LIMIT': '1'}}
TASK_DOCUMENT_VERSION_PAGE_OCR_RETRY_DELAY = 10
TASK_DOCUMENT_VERSION_PAGE_OCR_TIMEOUT = 10 * 60 # 10 Minutes per page
| 42.571429 | 75 | 0.805369 |
991b0e0a59d25ac9ddb4647a4cfdc8ee66093854 | 4,086 | py | Python | tests/test_doc.py | bartdegoede/textpipe | 7325daea68ff2ed3127d5216dbcd416240ce9f8d | [
"MIT"
] | null | null | null | tests/test_doc.py | bartdegoede/textpipe | 7325daea68ff2ed3127d5216dbcd416240ce9f8d | [
"MIT"
] | null | null | null | tests/test_doc.py | bartdegoede/textpipe | 7325daea68ff2ed3127d5216dbcd416240ce9f8d | [
"MIT"
] | null | null | null | """
Testing for textpipe doc.py
"""
import pytest
import random
import spacy
from textpipe.doc import Doc
TEXT_1 = """<p><b>Text mining</b>, also referred to as <i><b>text data mining</b></i>, roughly
equivalent to <b>text analytics</b>, is the process of deriving high-quality <a href="/wiki/Information"
title="Infor... | 37.145455 | 105 | 0.70558 |
991dac503d8f515990fefffa79a50b846fa9c1c7 | 45,862 | py | Python | pyugend/Comparison.py | university-gender-evolution/py-university-gender-dynamics-pkg | 3479a10a52dbcc9ecc204a4aceb949a4638aca4d | [
"MIT"
] | null | null | null | pyugend/Comparison.py | university-gender-evolution/py-university-gender-dynamics-pkg | 3479a10a52dbcc9ecc204a4aceb949a4638aca4d | [
"MIT"
] | 1 | 2018-02-16T22:13:13.000Z | 2018-02-16T22:16:24.000Z | pyugend/Comparison.py | university-gender-evolution/py-university-gender-dynamics-pkg | 3479a10a52dbcc9ecc204a4aceb949a4638aca4d | [
"MIT"
] | null | null | null | __author__ = 'krishnab'
import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file, show
from bokeh.layouts import gridplot
from operator import add, sub
from .ColumnSpecs import MODEL_RUN_COLUMNS, EXPORT_COLUMNS_FOR_CSV
from .PlotComposerOverallAttrition import PlotComposerOverallAttrition
f... | 44.055716 | 95 | 0.508089 |
991e4c9bf468f89dba7418269af96a2b5903a976 | 71 | py | Python | drivers/i2c.py | clapeyre/pico-arcade | 9ad4bc3250fcf0eadf4f92a83255c178acd5fe77 | [
"MIT"
] | null | null | null | drivers/i2c.py | clapeyre/pico-arcade | 9ad4bc3250fcf0eadf4f92a83255c178acd5fe77 | [
"MIT"
] | null | null | null | drivers/i2c.py | clapeyre/pico-arcade | 9ad4bc3250fcf0eadf4f92a83255c178acd5fe77 | [
"MIT"
] | null | null | null | from machine import Pin, I2C
I2C0 = I2C(0, scl=Pin(21), sda=Pin(20))
| 14.2 | 39 | 0.661972 |
991fb0f0b1676c7704c886f5d502235f7e62b383 | 770 | py | Python | article/templatetags/article_tags.py | brahici/WBO | 8781512b2ae3e308e2fe9310935a0f5ce4e30a29 | [
"BSD-3-Clause"
] | null | null | null | article/templatetags/article_tags.py | brahici/WBO | 8781512b2ae3e308e2fe9310935a0f5ce4e30a29 | [
"BSD-3-Clause"
] | null | null | null | article/templatetags/article_tags.py | brahici/WBO | 8781512b2ae3e308e2fe9310935a0f5ce4e30a29 | [
"BSD-3-Clause"
] | null | null | null | from django.template import Library
from taggit.models import Tag
from ..models import Article, Category
register = Library()
| 26.551724 | 61 | 0.738961 |
99201765d5f972ad4a6a952e2022f6b35f419092 | 4,539 | py | Python | app/status/models.py | LCOGT/serol | 1b1a0c8343fc7233b9935b8da64c90b8696134cc | [
"MIT"
] | null | null | null | app/status/models.py | LCOGT/serol | 1b1a0c8343fc7233b9935b8da64c90b8696134cc | [
"MIT"
] | 19 | 2017-12-13T14:33:46.000Z | 2022-03-11T23:47:08.000Z | app/status/models.py | LCOGT/serol | 1b1a0c8343fc7233b9935b8da64c90b8696134cc | [
"MIT"
] | null | null | null | from datetime import datetime
from django.db import models
from django.contrib import admin
from django.contrib.auth.models import AbstractUser
from django.conf import settings
from django_fsm import FSMField, transition
from django.utils.html import format_html
from django.utils.safestring import mark_safe
from djang... | 35.186047 | 121 | 0.666667 |
99201f751c7178bfc4351c34dbc7bdde562c0c86 | 101 | py | Python | Other/modulosort.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | Other/modulosort.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | Other/modulosort.py | devAdhiraj/coding-problems | e15d0eeb025e1ad503c73eb9280e6226fd979164 | [
"MIT"
] | null | null | null | input()
c = int(input())
a = sorted((map(int, input().split())))
a.sort(key= lambda x: x%c)
print(*a) | 20.2 | 39 | 0.594059 |
992278b1256b7046c351066c5da0a46b2ada11b3 | 1,426 | py | Python | twindb_backup/exporter/datadog_exporter.py | RyanCPeters/backup | 4dc19602989fe7dc49ca409d786fc833d1fcabf9 | [
"Apache-2.0"
] | 69 | 2016-06-29T16:13:55.000Z | 2022-03-21T06:38:37.000Z | twindb_backup/exporter/datadog_exporter.py | RyanCPeters/backup | 4dc19602989fe7dc49ca409d786fc833d1fcabf9 | [
"Apache-2.0"
] | 237 | 2016-09-28T02:12:34.000Z | 2022-03-25T13:32:23.000Z | twindb_backup/exporter/datadog_exporter.py | RyanCPeters/backup | 4dc19602989fe7dc49ca409d786fc833d1fcabf9 | [
"Apache-2.0"
] | 45 | 2017-01-04T21:20:27.000Z | 2021-12-29T10:42:22.000Z | # -*- coding: utf-8 -*-
"""
Module defines DataDog exporter class.
"""
from datadog import initialize, statsd
from twindb_backup.exporter.base_exporter import (
BaseExporter,
ExportCategory,
ExportMeasureType,
)
from twindb_backup.exporter.exceptions import DataDogExporterError
| 29.708333 | 78 | 0.614306 |
9923a337201612ce5c3c5c4d13a17d78ce1e14d3 | 1,303 | py | Python | src/utils/kick.py | GolfGrab/pog-discord-bot | 00d10e575a34535dc9e2ab25f56b959105a97c4a | [
"MIT"
] | null | null | null | src/utils/kick.py | GolfGrab/pog-discord-bot | 00d10e575a34535dc9e2ab25f56b959105a97c4a | [
"MIT"
] | null | null | null | src/utils/kick.py | GolfGrab/pog-discord-bot | 00d10e575a34535dc9e2ab25f56b959105a97c4a | [
"MIT"
] | null | null | null | from src.utils.config import CONFIG
from discord.ext.commands import MemberConverter
from random import sample, random
| 29.613636 | 73 | 0.61627 |
9925373604e7fd581924e1f977ddd301fc58eab4 | 3,303 | py | Python | TgBot/handlers/users/watch.py | Na3aga/gmbot | c6fa37d4d61a9b023dc36197961706dbcd371e72 | [
"MIT"
] | null | null | null | TgBot/handlers/users/watch.py | Na3aga/gmbot | c6fa37d4d61a9b023dc36197961706dbcd371e72 | [
"MIT"
] | 21 | 2019-10-23T21:16:18.000Z | 2021-08-02T21:43:46.000Z | TgBot/handlers/users/watch.py | Na3aga/gmbot | c6fa37d4d61a9b023dc36197961706dbcd371e72 | [
"MIT"
] | 1 | 2019-10-25T23:01:25.000Z | 2019-10-25T23:01:25.000Z | from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.builtin import Command
from TgBot.loader import dp
from TgBot.utils.misc import rate_limit
from TgBot.utils import chat_emails_keyboard
from TgBot.states.watch import WatchGmail
from loader import gmail_API, psqldb
from... | 42.896104 | 89 | 0.603088 |