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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
784e5bf0a0b8655d9a0a603fb8012750676dd86a | 1,450 | py | Python | trafficgen/benignGenerator/DataGen/wordpressautonew/LoginWordPressData.py | cyberdeception/deepdig | 482061bc5039181a95631fcb8515d990eb2e16a9 | [
"Apache-2.0"
] | 5 | 2020-03-07T21:28:51.000Z | 2022-03-11T06:03:46.000Z | trafficgen/benignGenerator/DataGen/wordpressautonew/LoginWordPressData.py | cyberdeception/deepdig | 482061bc5039181a95631fcb8515d990eb2e16a9 | [
"Apache-2.0"
] | null | null | null | trafficgen/benignGenerator/DataGen/wordpressautonew/LoginWordPressData.py | cyberdeception/deepdig | 482061bc5039181a95631fcb8515d990eb2e16a9 | [
"Apache-2.0"
] | 4 | 2019-10-18T18:32:35.000Z | 2021-07-16T11:52:38.000Z | import unittest
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
import time
from BaseWordpressData import BaseWordPressData
class LoginWordPressData(BaseWordPressData):
def __init__(self,type, dataDict,browser):
... | 28.431373 | 78 | 0.671034 | 1,219 | 0.84069 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.275172 |
78505ac1a273f3c03ae2bd2074823ab5e86e19af | 4,688 | py | Python | src/utils/options.py | JiachengLi1995/FastRec | 88174f8beb822c6b5b348c888de184d48d9d013c | [
"MIT"
] | null | null | null | src/utils/options.py | JiachengLi1995/FastRec | 88174f8beb822c6b5b348c888de184d48d9d013c | [
"MIT"
] | null | null | null | src/utils/options.py | JiachengLi1995/FastRec | 88174f8beb822c6b5b348c888de184d48d9d013c | [
"MIT"
] | null | null | null | from src.datasets import DATASETS
from src.dataloaders import DATALOADERS
from src.models import MODELS
from src.trainers import TRAINERS
import argparse
parser = argparse.ArgumentParser(description='SASRec')
################
# Test
################
parser.add_argument('--load_pretrained_weights', type=str, default=... | 50.956522 | 132 | 0.706485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,175 | 0.463951 |
7850cdbf5aa5b5cdc836f3b7b8695fc3dc13997b | 124 | py | Python | mainapp/StaffView.py | Facele55/E-Commerce | 20103ee09a3c349eb3a0fffeb16b7fc86c5cabbc | [
"Apache-2.0"
] | null | null | null | mainapp/StaffView.py | Facele55/E-Commerce | 20103ee09a3c349eb3a0fffeb16b7fc86c5cabbc | [
"Apache-2.0"
] | null | null | null | mainapp/StaffView.py | Facele55/E-Commerce | 20103ee09a3c349eb3a0fffeb16b7fc86c5cabbc | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
def staff_home(request):
return render(request, 'staff_template/staff_home.html')
| 20.666667 | 60 | 0.790323 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.258065 |
7852009b941cee12bd32debb6b11c9f5ed52309b | 3,416 | py | Python | progress_job_iterator.py | Ariel96cs/SimpleMapReduceFramework | 7cf482f94b1ed1e6436a7b229dfe09c3c0906d56 | [
"MIT"
] | null | null | null | progress_job_iterator.py | Ariel96cs/SimpleMapReduceFramework | 7cf482f94b1ed1e6436a7b229dfe09c3c0906d56 | [
"MIT"
] | null | null | null | progress_job_iterator.py | Ariel96cs/SimpleMapReduceFramework | 7cf482f94b1ed1e6436a7b229dfe09c3c0906d56 | [
"MIT"
] | null | null | null | import message_tools as mt
import time
class ProgressTaskIterator:
def __init__(self, job_id, task, status_handler, file_sys_addr):
'''
Tengo que poner a esperar a que inserten en la tabla block de status_db_url los bloques correspodientes
a la tarea de task.
lo que tengo que esper... | 40.188235 | 116 | 0.602459 | 3,375 | 0.987998 | 1,052 | 0.307963 | 0 | 0 | 0 | 0 | 1,371 | 0.401347 |
7852458867e37b272e2b2586e35216cc3c5811b9 | 137 | py | Python | module.py | supperhappie/web_scraper | 334cc877d06fe0083f52fca84de7fb906a0ff5f7 | [
"MIT"
] | null | null | null | module.py | supperhappie/web_scraper | 334cc877d06fe0083f52fca84de7fb906a0ff5f7 | [
"MIT"
] | null | null | null | module.py | supperhappie/web_scraper | 334cc877d06fe0083f52fca84de7fb906a0ff5f7 | [
"MIT"
] | null | null | null | from math import *
print(ceil(4.2))
print(sum([0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1]))
print(fsum([0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1])) | 27.4 | 50 | 0.569343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7853fc867b9268e27df1fa9c7f6378f0521175e4 | 7,310 | py | Python | untitled.py | czyczyyzc/MyMaskRCNN | e5a451fd05c593ae05d6e596813fc63aad7af2de | [
"MIT"
] | 1 | 2020-10-16T08:10:12.000Z | 2020-10-16T08:10:12.000Z | untitled.py | czyczyyzc/MyMaskRCNN | e5a451fd05c593ae05d6e596813fc63aad7af2de | [
"MIT"
] | null | null | null | untitled.py | czyczyyzc/MyMaskRCNN | e5a451fd05c593ae05d6e596813fc63aad7af2de | [
"MIT"
] | null | null | null | BACKBONE = "resnet101"
BACKBONE_STRIDES = [4, 8, 16, 32, 64]
POST_NMS_ROIS_TRAINING = 2000
POST_NMS_ROIS_INFERENCE = 1000
RPN_NMS_THRESHOLD = 0.7
POOL_SIZE = 7
MASK_POOL_SIZE = 14
TRAIN_BN = False # Defaulting to False since bat... | 41.067416 | 126 | 0.583174 | 6,539 | 0.859038 | 0 | 0 | 0 | 0 | 0 | 0 | 683 | 0.089727 |
7854206db388f69d88e15202d41b4806273c060f | 6,198 | py | Python | skm_tea/engine/trainer.py | StanfordMIMI/skm-tea | 5678bfcebad4fdc30de62b319d96ec1775e1671c | [
"MIT"
] | 26 | 2021-08-28T06:57:50.000Z | 2022-02-17T06:33:41.000Z | skm_tea/engine/trainer.py | StanfordMIMI/skm-tea | 5678bfcebad4fdc30de62b319d96ec1775e1671c | [
"MIT"
] | 6 | 2021-10-20T16:04:12.000Z | 2022-03-15T20:16:52.000Z | skm_tea/engine/trainer.py | StanfordMIMI/skm-tea | 5678bfcebad4fdc30de62b319d96ec1775e1671c | [
"MIT"
] | 4 | 2021-11-15T08:32:41.000Z | 2022-02-23T18:54:30.000Z | import logging
import os
import pytorch_lightning as pl
from meddlr.config.config import CfgNode
from meddlr.engine.trainer import convert_cfg_time_to_iter as _convert_cfg_time_to_iter
from meddlr.engine.trainer import format_as_iter
from meddlr.utils import env
from meddlr.utils.env import supports_wandb
from pytorch... | 38.02454 | 99 | 0.666989 | 4,914 | 0.792836 | 0 | 0 | 431 | 0.069539 | 0 | 0 | 1,318 | 0.212649 |
78542c8e023300ee416e5d670aa78aae94c4eae7 | 1,189 | py | Python | uw_canvas/tests/test_quizzes.py | uw-it-aca/uw-restclients-canvas | 2c54d7676649ec18129817992890878ace1ec6c6 | [
"Apache-2.0"
] | 1 | 2019-11-26T21:38:50.000Z | 2019-11-26T21:38:50.000Z | uw_canvas/tests/test_quizzes.py | uw-it-aca/uw-restclients-canvas | 2c54d7676649ec18129817992890878ace1ec6c6 | [
"Apache-2.0"
] | 135 | 2017-04-04T23:11:26.000Z | 2021-05-28T17:00:20.000Z | uw_canvas/tests/test_quizzes.py | uw-it-aca/uw-restclients-canvas | 2c54d7676649ec18129817992890878ace1ec6c6 | [
"Apache-2.0"
] | 2 | 2020-05-20T20:36:55.000Z | 2022-03-05T00:23:44.000Z | # Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from unittest import TestCase
from uw_canvas.utilities import fdao_canvas_override
from uw_canvas.quizzes import Quizzes
from uw_canvas.models import Quiz
@fdao_canvas_override
class CanvasTestQuizzes(TestCase):
def test_quizz... | 32.135135 | 76 | 0.660219 | 921 | 0.774601 | 0 | 0 | 943 | 0.793103 | 0 | 0 | 265 | 0.222876 |
78556b4b51cbe376c3830238e0401b6707b4b355 | 87 | py | Python | decision_record/record/apps.py | scotthsieh0503/decision-record | a868f5c8b94d621453b330eefad1045b7afb55d4 | [
"MIT"
] | 3 | 2020-02-05T06:42:15.000Z | 2020-02-17T14:39:58.000Z | yet-another-timelogger/record/apps.py | MarkWh1te/yet-another-timelogger | b3518db9b85ee45a547bc2556e3700f7aab695c6 | [
"MIT"
] | 17 | 2020-03-24T17:30:33.000Z | 2022-03-11T23:58:34.000Z | record/apps.py | souper-streetwise/charity_data | 6d91d4b3d635dad868a5eabab94bbb20eea3d082 | [
"MIT"
] | 1 | 2020-06-13T02:25:42.000Z | 2020-06-13T02:25:42.000Z | from django.apps import AppConfig
class RecordConfig(AppConfig):
name = 'record'
| 14.5 | 33 | 0.747126 | 50 | 0.574713 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.091954 |
785857077b4350d54dda9d398a5eaff19132e288 | 820 | py | Python | tabular/tests/unittests/models/test_tabular_nn_fastai.py | zhiqiangdon/autogluon | 71ee7ef0f05d8f0aad112d8c1719174aa33194d9 | [
"Apache-2.0"
] | 4,462 | 2019-12-09T17:41:07.000Z | 2022-03-31T22:00:41.000Z | tabular/tests/unittests/models/test_tabular_nn_fastai.py | zhiqiangdon/autogluon | 71ee7ef0f05d8f0aad112d8c1719174aa33194d9 | [
"Apache-2.0"
] | 1,408 | 2019-12-09T17:48:59.000Z | 2022-03-31T20:24:12.000Z | tabular/tests/unittests/models/test_tabular_nn_fastai.py | zhiqiangdon/autogluon | 71ee7ef0f05d8f0aad112d8c1719174aa33194d9 | [
"Apache-2.0"
] | 623 | 2019-12-10T02:04:18.000Z | 2022-03-20T17:11:01.000Z |
from autogluon.tabular.models.fastainn.tabular_nn_fastai import NNFastAiTabularModel
def test_tabular_nn_fastai_binary(fit_helper):
fit_args = dict(
hyperparameters={NNFastAiTabularModel: {}},
)
dataset_name = 'adult'
fit_helper.fit_and_validate_dataset(dataset_name=dataset_name, fit_args=fit... | 30.37037 | 85 | 0.765854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.029268 |
785958f309382a011e6f540a7d611fcf8a976c4a | 2,082 | py | Python | kernel/Settings.py | flopezag/fiware-scrum-reports | 56773c2b1d0603f019f08ca7b66fc091e2b975a0 | [
"Apache-2.0"
] | null | null | null | kernel/Settings.py | flopezag/fiware-scrum-reports | 56773c2b1d0603f019f08ca7b66fc091e2b975a0 | [
"Apache-2.0"
] | 6 | 2018-09-04T08:49:29.000Z | 2018-09-05T10:31:32.000Z | kernel/Settings.py | flopezag/fiware-scrum-reports | 56773c2b1d0603f019f08ca7b66fc091e2b975a0 | [
"Apache-2.0"
] | null | null | null | import os
from xml.etree import ElementTree as ET
from datetime import datetime
from collections import namedtuple
__author__ = "Manuel Escriche < mev@tid.es>"
class Settings:
def __init__(self):
self._dashboard = dict()
self._review = dict()
self.home = os.path.split(os.path.dirname(os.p... | 33.047619 | 112 | 0.628242 | 1,857 | 0.891931 | 0 | 0 | 378 | 0.181556 | 0 | 0 | 410 | 0.196926 |
7859d6c0896c5f80478ef39ac42a3fbaba78584d | 4,554 | py | Python | diofant/solvers/utils.py | rajkk1/diofant | 6b361334569e4ec2e8c7d30dc324387a4ad417c2 | [
"BSD-3-Clause"
] | null | null | null | diofant/solvers/utils.py | rajkk1/diofant | 6b361334569e4ec2e8c7d30dc324387a4ad417c2 | [
"BSD-3-Clause"
] | null | null | null | diofant/solvers/utils.py | rajkk1/diofant | 6b361334569e4ec2e8c7d30dc324387a4ad417c2 | [
"BSD-3-Clause"
] | null | null | null | """General utility functions for solvers."""
import warnings
from ..core import (expand_mul, expand_multinomial, nan, oo,
preorder_traversal, zoo)
from ..core.sympify import sympify
from ..simplify.simplify import posify, simplify
__all__ = 'checksol',
def checksol(f, sol, **flags):
r"""Ch... | 32.070423 | 85 | 0.538428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,932 | 0.424242 |
786031bca4e4c25f1b895df6dc07e93096ae9dfe | 148 | py | Python | Python/read/read.py | BackEndTea/Learning | ccbf8fdbb8fb23643898d73e64fe7442ab46b791 | [
"MIT"
] | 1 | 2018-10-31T10:36:34.000Z | 2018-10-31T10:36:34.000Z | Python/read/read.py | BackEndTea/Learning | ccbf8fdbb8fb23643898d73e64fe7442ab46b791 | [
"MIT"
] | null | null | null | Python/read/read.py | BackEndTea/Learning | ccbf8fdbb8fb23643898d73e64fe7442ab46b791 | [
"MIT"
] | 2 | 2021-05-06T11:18:25.000Z | 2021-12-04T07:56:29.000Z |
with open('file.csv', 'r') as f:
a = [i for i in f]
print(a)
with open('file.csv', 'r') as f:
a = [i[1: -2] for i in f]
print(a)
| 14.8 | 32 | 0.472973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.175676 |
78607ee463c1efbeda346568d754d388788b0a46 | 16,798 | py | Python | client/admin.py | AhmedElmawary/erp | c998787c62194e26e10e3cbc61e35935e901e56d | [
"MIT"
] | null | null | null | client/admin.py | AhmedElmawary/erp | c998787c62194e26e10e3cbc61e35935e901e56d | [
"MIT"
] | null | null | null | client/admin.py | AhmedElmawary/erp | c998787c62194e26e10e3cbc61e35935e901e56d | [
"MIT"
] | null | null | null | import os
from django.template.response import TemplateResponse
from _helpers.common import make_list_of_lists
from app_user.models import ClosingPeriod
from datetime import datetime
from django.utils import timezone
from django.core.paginator import Paginator
from django.db.models.query import QuerySet
from django.te... | 35.816631 | 238 | 0.589177 | 15,376 | 0.915347 | 0 | 0 | 0 | 0 | 0 | 0 | 3,104 | 0.184784 |
7862362c2a685a044c14e4b97a8f43d0e7baa1f5 | 1,352 | py | Python | hackerearth/Algorithms/Largest Windmill/solution.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | 4 | 2020-07-24T01:59:50.000Z | 2021-07-24T15:14:08.000Z | hackerearth/Algorithms/Largest Windmill/solution.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | hackerearth/Algorithms/Largest Windmill/solution.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | """
# Sample code to perform I/O:
name = input() # Reading input from STDIN
print('Hi, %s.' % name) # Writing output to STDOUT
# Warning: Printing unwanted or ill-formatted data to output will cause the test cases to fail
"""
# Write your code here
from collections import defaultdict, deque
... | 23.719298 | 94 | 0.517751 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 274 | 0.202663 |
786303dad3d68e212f04a894e451f0bed72ebf96 | 949 | py | Python | mountainproject/util/util.py | calebwang/mountainproject | 6a986d33a1e44710308e66eea77b66167a0ef2a7 | [
"MIT"
] | null | null | null | mountainproject/util/util.py | calebwang/mountainproject | 6a986d33a1e44710308e66eea77b66167a0ef2a7 | [
"MIT"
] | null | null | null | mountainproject/util/util.py | calebwang/mountainproject | 6a986d33a1e44710308e66eea77b66167a0ef2a7 | [
"MIT"
] | null | null | null | import itertools
def chunk(iterable, n):
it = iter(iterable)
cls = list
chunk = cls(itertools.islice(it, n))
while chunk:
yield chunk
chunk = cls(itertools.islice(it, n))
def map_chunk(iterable, n, f_chunk):
"""
Map over iterable in chunks of size n, applying f_chunk to
each chunk, and then fla... | 24.333333 | 83 | 0.700738 | 0 | 0 | 456 | 0.480506 | 0 | 0 | 0 | 0 | 159 | 0.167545 |
78634d639d85d08c0ec70e8b376d62a31e283863 | 6,622 | py | Python | code/release/normalize_to_vcd.py | williamgibb/la-data-graphing | dba49e4dcc65256566474f9c8ff407c164d188c2 | [
"ECL-1.0"
] | null | null | null | code/release/normalize_to_vcd.py | williamgibb/la-data-graphing | dba49e4dcc65256566474f9c8ff407c164d188c2 | [
"ECL-1.0"
] | null | null | null | code/release/normalize_to_vcd.py | williamgibb/la-data-graphing | dba49e4dcc65256566474f9c8ff407c164d188c2 | [
"ECL-1.0"
] | null | null | null | #
# This script is Copyrighted (c) 2012 by William Gibb and
# licensed under the OSI Educational Community License version 1.0
#
# Please see the LICENSE.txt file for a full reading of the appopriate
# license.
#
import sys
import os
import csv
import optparse
import string
import logging
import re
imp... | 31.235849 | 114 | 0.614467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,433 | 0.367412 |
78652027358f752a4fa3b5d361b4256d3dc48763 | 5,372 | py | Python | src/psypose/MEVA/scripts/eval_vae.py | scraplab/psypose | 81753e29b78023b8a7c48356ec54c67b7182c183 | [
"MIT"
] | null | null | null | src/psypose/MEVA/scripts/eval_vae.py | scraplab/psypose | 81753e29b78023b8a7c48356ec54c67b7182c183 | [
"MIT"
] | 1 | 2021-10-13T16:27:34.000Z | 2021-10-13T16:27:34.000Z | src/psypose/MEVA/scripts/eval_vae.py | scraplab/psypose | 81753e29b78023b8a7c48356ec54c67b7182c183 | [
"MIT"
] | null | null | null | import glob
import os
import sys
import pdb
import os.path as osp
sys.path.append(os.getcwd())
import math
import pickle as pk
import argparse
import time
from torch import optim
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
import joblib
from khrylib.utils import *
from meva.utils.config im... | 36.794521 | 136 | 0.648734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 0.112621 |
786642d4839cecf971d110875afa5237e48ae23f | 475 | py | Python | exercise1_6.py | ccie8030/pynet | 84be459c6cb50a025a801e3d4b9bd237c698776a | [
"Apache-2.0"
] | 1 | 2016-01-30T03:36:15.000Z | 2016-01-30T03:36:15.000Z | exercise1_6.py | ccie8030/pynet | 84be459c6cb50a025a801e3d4b9bd237c698776a | [
"Apache-2.0"
] | null | null | null | exercise1_6.py | ccie8030/pynet | 84be459c6cb50a025a801e3d4b9bd237c698776a | [
"Apache-2.0"
] | null | null | null | import yaml
import json
def main():
yaml_file = 'my_yaml.yml'
json_file = 'my_json.json'
net_dict = {'ip_addr' : '192.168.1.214', 'model' : 'wlc', 'manufacturer' : 'Cisco', 'model': '2504'}
net_list = ['test_strings','1','2','3', net_dict, 'python', 'neteng']
with open(yaml_file, "... | 18.269231 | 104 | 0.581053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.298947 |
786662f7fd60f019ba19ea1741f61dafe91fb64a | 1,978 | py | Python | Structral Similarity/stsim_2.py | Michelle0903/Performance-Comparison-of-Structural-Similarity-Metrics | c2c409eefe335e4946ca895ad1d22b4930263819 | [
"MIT"
] | null | null | null | Structral Similarity/stsim_2.py | Michelle0903/Performance-Comparison-of-Structural-Similarity-Metrics | c2c409eefe335e4946ca895ad1d22b4930263819 | [
"MIT"
] | null | null | null | Structral Similarity/stsim_2.py | Michelle0903/Performance-Comparison-of-Structural-Similarity-Metrics | c2c409eefe335e4946ca895ad1d22b4930263819 | [
"MIT"
] | null | null | null | from perceptual.metric_copy import Metric
import cv2
import os
import glob
import heapq
import torch
import time
from torch.utils.data import Dataset, DataLoader
data_dir = "/Users/yuxiao/Desktop/data/Corbis128BigExperiment_gray/"
data = glob.glob(data_dir + "*.tiff")
class ImgData(Dataset):
def __init__(self, k... | 22.224719 | 86 | 0.570779 | 424 | 0.214358 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.089484 |
7866925166859dc7a69b09e9e27d0bf72413316f | 1,040 | py | Python | Bag/testbag.py | yeyuning1/DataStructures | c302db3b14ee131e7090a8cc088519b863880336 | [
"MIT"
] | null | null | null | Bag/testbag.py | yeyuning1/DataStructures | c302db3b14ee131e7090a8cc088519b863880336 | [
"MIT"
] | null | null | null | Bag/testbag.py | yeyuning1/DataStructures | c302db3b14ee131e7090a8cc088519b863880336 | [
"MIT"
] | null | null | null | """
File: testbag.py
Author: Yeyuning
A tester program for bag implementations.
"""
from Bag.arraybag import ArrayBag
from Bag.linkedbag import LinkedBag
# def test(bagType):
# lyst = [2013, 61, 1973]
# print('The list of items added is:', lyst)
# b1 = bagType(lyst)
# print("Expect 3:", len(b1))
# ... | 25.365854 | 50 | 0.575962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 928 | 0.892308 |
786736d9f2365d02c0ef89f14817a4203397cc30 | 165 | py | Python | plotsearch/apps.py | City-of-Helsinki/mvj | 6f786047805a968317ecc37b38c2262ada2c3805 | [
"MIT"
] | 1 | 2021-01-12T08:14:10.000Z | 2021-01-12T08:14:10.000Z | plotsearch/apps.py | City-of-Helsinki/mvj | 6f786047805a968317ecc37b38c2262ada2c3805 | [
"MIT"
] | 249 | 2017-04-18T14:00:13.000Z | 2022-03-30T12:18:03.000Z | plotsearch/apps.py | City-of-Helsinki/mvj | 6f786047805a968317ecc37b38c2262ada2c3805 | [
"MIT"
] | 7 | 2017-04-18T08:43:54.000Z | 2021-07-28T07:29:30.000Z | from django.apps import AppConfig
class PlotsearchConfig(AppConfig):
name = "plotsearch"
def ready(self):
import plotsearch.signals # noqa: F401
| 18.333333 | 47 | 0.70303 | 128 | 0.775758 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.145455 |
7867596a29dbeb64fbd242bc6c8c7720e3a87739 | 509 | py | Python | src/codebase/controllers/default.py | ooclab/ga.service | 894b4703628b2ce93790db31939009783e8e7b09 | [
"MIT"
] | 1 | 2019-09-20T04:32:52.000Z | 2019-09-20T04:32:52.000Z | src/codebase/controllers/default.py | ooclab/ga.service | 894b4703628b2ce93790db31939009783e8e7b09 | [
"MIT"
] | 1 | 2019-02-01T04:57:27.000Z | 2019-02-01T04:57:27.000Z | src/codebase/controllers/default.py | ooclab/ga.service | 894b4703628b2ce93790db31939009783e8e7b09 | [
"MIT"
] | 1 | 2019-01-14T06:51:17.000Z | 2019-01-14T06:51:17.000Z | # pylint: disable=W0221,W0223
import os
from codebase.web import APIRequestHandler
class HealthHandler(APIRequestHandler):
def get(self):
self.write("ok")
class SpecHandler(APIRequestHandler):
"""
提供 SwaggerUI YAML 文档
"""
def get(self):
path = os.path.abspath(os.path.join(os.... | 20.36 | 82 | 0.650295 | 426 | 0.823985 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.230174 |
786b2cbe165ff3efeddb8ce434ec54fe8e4cbb38 | 2,189 | py | Python | Projecto1/basico/Exercicio3.py | CarlosMacaneta/Basic-Python | 13034a23ca4cb45eab1226c6b719476d713803b9 | [
"MIT"
] | 1 | 2021-05-13T11:09:16.000Z | 2021-05-13T11:09:16.000Z | Projecto1/basico/Exercicio3.py | CarlosMacaneta/Basic-Python | 13034a23ca4cb45eab1226c6b719476d713803b9 | [
"MIT"
] | null | null | null | Projecto1/basico/Exercicio3.py | CarlosMacaneta/Basic-Python | 13034a23ca4cb45eab1226c6b719476d713803b9 | [
"MIT"
] | null | null | null | import os.path
import random
def gerar_id():
return "AZ" + str(random.randrange(1, 1000))
def designar_arq():
return gerar_id() + ".txt"
def formulario(fich):
fich.write("Id: " + gerar_id() + "\n")
fich.write("Nome: " + input("Nome: ").capitalize() + "\n")
fich.write("Perfil: Docente\n")
f... | 23.042105 | 69 | 0.583828 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.154408 |
786ea20db76f036afee97045dee5cd524ee74858 | 166 | py | Python | Exercicios/ex012.py | GabrielMazzuchello/Curso-Em-Video | 2bf7847f23980e0ce63312997318a43000246bfa | [
"MIT"
] | 2 | 2021-11-13T13:52:56.000Z | 2022-03-29T18:10:27.000Z | Exercicios/ex012.py | GabrielMazzuchello/Curso-Em-Video | 2bf7847f23980e0ce63312997318a43000246bfa | [
"MIT"
] | null | null | null | Exercicios/ex012.py | GabrielMazzuchello/Curso-Em-Video | 2bf7847f23980e0ce63312997318a43000246bfa | [
"MIT"
] | null | null | null | v = float(input('qual e o valor do seu produto? R$:'))
d = v / 100 * 5
print('o valor do produto de R$:{} agora com 5% de desconto ficou R$:{:.2f}'.format(v, (v-d)))
| 41.5 | 94 | 0.60241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.638554 |
787089ab58a2c573c193c13a1c54f7ae8051fe13 | 1,692 | py | Python | graphql/backend/tests/test_compileddocument.py | ThanksBoomerang/graphql-core-legacy | 6e2fbccdec655ce9122b84d3808c14242c4e6b96 | [
"MIT"
] | 8 | 2020-03-23T21:34:02.000Z | 2021-11-12T11:27:45.000Z | graphql/backend/tests/test_compileddocument.py | ThanksBoomerang/graphql-core-legacy | 6e2fbccdec655ce9122b84d3808c14242c4e6b96 | [
"MIT"
] | 17 | 2020-03-14T22:22:29.000Z | 2022-03-16T19:26:37.000Z | graphql/backend/tests/test_compileddocument.py | ThanksBoomerang/graphql-core-legacy | 6e2fbccdec655ce9122b84d3808c14242c4e6b96 | [
"MIT"
] | 17 | 2020-03-23T12:06:23.000Z | 2022-02-13T05:33:32.000Z | from ...language.base import parse
from ...utils.ast_to_code import ast_to_code
from ..compiled import GraphQLCompiledDocument
from .schema import schema
def test_compileddocument_from_module_dict():
# type: () -> None
document_string = "{ hello }"
document_ast = parse(document_string)
document = Grap... | 28.2 | 79 | 0.708038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 514 | 0.303783 |
78715707268ed203ef8de172b23e49fc52b02ddc | 9,568 | py | Python | pid/eco/views.py | PlanetaryResources/pid | ecb146cc26c6ade2863bcdc6d271ead3cbcbbe40 | [
"Apache-2.0"
] | 3 | 2019-06-14T18:05:22.000Z | 2020-01-22T17:38:17.000Z | pid/eco/views.py | PlanetaryResources/pid | ecb146cc26c6ade2863bcdc6d271ead3cbcbbe40 | [
"Apache-2.0"
] | null | null | null | pid/eco/views.py | PlanetaryResources/pid | ecb146cc26c6ade2863bcdc6d271ead3cbcbbe40 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Design views."""
from flask import Blueprint, request, jsonify, render_template, make_response
from flask_login import login_required, current_user
from .forms import CreateECOForm
from .models import ECO
from pid.common.models import Project, Approver
from pid.mail import send_email
from pid... | 35.969925 | 110 | 0.639946 | 0 | 0 | 0 | 0 | 9,067 | 0.947638 | 0 | 0 | 1,812 | 0.189381 |
7872f59905b7d2b01c5c5e396418732a9653183b | 3,485 | py | Python | psono/restapi/serializers/create_membership.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 48 | 2018-04-19T15:50:58.000Z | 2022-01-23T15:58:11.000Z | psono/restapi/serializers/create_membership.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 9 | 2018-09-13T14:56:18.000Z | 2020-01-17T16:44:33.000Z | psono/restapi/serializers/create_membership.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 11 | 2019-09-20T11:53:47.000Z | 2021-07-18T22:41:31.000Z | from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
from ..fields import UUIDField, BooleanField
from ..models import User, User_Group_Membership
import re
class CreateMembershipSerializer(serializers.Serializer):
user_id = UUIDField(required=True)
grou... | 33.190476 | 145 | 0.663415 | 3,270 | 0.938307 | 0 | 0 | 0 | 0 | 0 | 0 | 584 | 0.167575 |
78736c505d7315485f6b5015659e5139ab914041 | 7,158 | py | Python | stanza_wrapper/stanza_wrapper.py | Filter-Bubble/stanza_wrapper | 04388869cbbe419132628422663e4c7c987cf1d0 | [
"Apache-2.0"
] | null | null | null | stanza_wrapper/stanza_wrapper.py | Filter-Bubble/stanza_wrapper | 04388869cbbe419132628422663e4c7c987cf1d0 | [
"Apache-2.0"
] | null | null | null | stanza_wrapper/stanza_wrapper.py | Filter-Bubble/stanza_wrapper | 04388869cbbe419132628422663e4c7c987cf1d0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from . import __version__
import logging
import stanza
from KafNafParserPy import *
from lxml.etree import XMLSyntaxError
from io import BytesIO
import sys
from itertools import groupby
from operator import itemgetter
from xml.sax.saxutils import escape
logger = logging.getLogger(__name__)
thi... | 34.248804 | 86 | 0.58955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 0.130623 |
78745512b8e1db248b6cccfe158e400723701d66 | 138 | py | Python | measure/_measure.py | jedhsu/measure | 34dfffa51d6fc348bd324bc490a682103b5b5b99 | [
"Apache-2.0"
] | null | null | null | measure/_measure.py | jedhsu/measure | 34dfffa51d6fc348bd324bc490a682103b5b5b99 | [
"Apache-2.0"
] | null | null | null | measure/_measure.py | jedhsu/measure | 34dfffa51d6fc348bd324bc490a682103b5b5b99 | [
"Apache-2.0"
] | null | null | null | """
*Measure*
The measure type.
"""
from abc import ABCMeta
__all__ = ["Measure"]
class Measure:
__metaclass__ = ABCMeta
| 8.625 | 27 | 0.630435 | 42 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.384058 |
78747f79066b20c85ec7068912df47ccb366ae61 | 2,749 | py | Python | micro_center_price_monitor/price_checker.py | Nintendude64/micro-center-price-monitor | 5aee275ef2e6a65d1fd69aa07956225bad7f30ac | [
"MIT"
] | null | null | null | micro_center_price_monitor/price_checker.py | Nintendude64/micro-center-price-monitor | 5aee275ef2e6a65d1fd69aa07956225bad7f30ac | [
"MIT"
] | null | null | null | micro_center_price_monitor/price_checker.py | Nintendude64/micro-center-price-monitor | 5aee275ef2e6a65d1fd69aa07956225bad7f30ac | [
"MIT"
] | null | null | null | from micro_center_price_monitor.scraper import MicroCenterScraper
from micro_center_price_monitor.mail import Email
import datetime, time
class PriceChecker:
"""
PriceChecker:
Manages execution flow for:
-> Retrieving search results list
-> Selected wanted product
-> Monitori... | 39.84058 | 123 | 0.559112 | 2,606 | 0.947981 | 0 | 0 | 0 | 0 | 0 | 0 | 1,016 | 0.369589 |
78756479e1ce298be3ad0fcb9bbe4e75724a401d | 3,613 | py | Python | yakbak/diff.py | shiroyuki/2019-cfp | 90c20ad01c19ddf17b0bfd1f96b264c715456c01 | [
"BSD-3-Clause"
] | null | null | null | yakbak/diff.py | shiroyuki/2019-cfp | 90c20ad01c19ddf17b0bfd1f96b264c715456c01 | [
"BSD-3-Clause"
] | 6 | 2019-04-27T16:48:33.000Z | 2019-08-06T20:28:23.000Z | yakbak/diff.py | shiroyuki/2019-cfp | 90c20ad01c19ddf17b0bfd1f96b264c715456c01 | [
"BSD-3-Clause"
] | 2 | 2019-08-06T15:23:57.000Z | 2019-08-21T23:16:01.000Z | # Per Google's recommendation [1], this is copied from [2], with
# the line ending match adjusted to find spans of whitespace.
#
# The original [2] is used under the Apache License, Version 2.0:
#
# Diff Match and Patch
# Copyright 2018 The diff-match-patch Authors.
# https://github.com/google/diff-match-patch
#
... | 35.772277 | 122 | 0.681705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,356 | 0.65209 |
78758a785c0289c32fa159acab530e62fdfcc65f | 24,304 | py | Python | mayan/apps/documents/tests/test_document_file_views.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/documents/tests/test_document_file_views.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/documents/tests/test_document_file_views.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 257 | 2019-05-14T10:26:37.000Z | 2022-03-30T03:37:36.000Z | from mayan.apps.converter.layers import layer_saved_transformations
from mayan.apps.converter.permissions import (
permission_transformation_delete, permission_transformation_edit
)
from mayan.apps.converter.tests.mixins import LayerTestMixin
from mayan.apps.documents.tests.literals import TEST_MULTI_PAGE_TIFF
from... | 33.615491 | 94 | 0.697704 | 23,131 | 0.951736 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.00325 |
78768458d1d5d8763041828ce894b1405751ca58 | 5,872 | py | Python | pyjobs_web/pyjobsweb/controllers/jobs.py | pyjobs/web | 183742ae571ee83d4fe4b34f1f0ce9f2204c449e | [
"MIT"
] | 8 | 2016-01-29T13:06:26.000Z | 2020-11-02T07:23:57.000Z | pyjobs_web/pyjobsweb/controllers/jobs.py | pyjobs/web | 183742ae571ee83d4fe4b34f1f0ce9f2204c449e | [
"MIT"
] | 18 | 2016-02-11T08:17:13.000Z | 2022-03-02T14:53:38.000Z | pyjobs_web/pyjobsweb/controllers/jobs.py | pyjobs/web | 183742ae571ee83d4fe4b34f1f0ce9f2204c449e | [
"MIT"
] | 5 | 2016-02-05T08:57:12.000Z | 2018-01-15T08:19:43.000Z | # -*- coding: utf-8 -*-
import json
import logging
from elasticsearch_dsl import Q, SF
from sqlalchemy.orm.exc import NoResultFound
from tg.decorators import expose, redirect, paginate
from tg.exceptions import HTTPNotFound
from pyjobsweb.model import JobAlchemy
from pyjobsweb.model import JobElastic
from pyjobsweb.m... | 28.504854 | 76 | 0.552282 | 5,357 | 0.912296 | 0 | 0 | 5,048 | 0.859673 | 0 | 0 | 773 | 0.131642 |
7877594dfebd86d5488c351f1f1c7312d5340ea1 | 2,143 | py | Python | market/checkout/urls.py | katomaso/django-market | 84c4fa10aefbd792a956cef3d727623ca78cb5fd | [
"MIT"
] | null | null | null | market/checkout/urls.py | katomaso/django-market | 84c4fa10aefbd792a956cef3d727623ca78cb5fd | [
"MIT"
] | null | null | null | market/checkout/urls.py | katomaso/django-market | 84c4fa10aefbd792a956cef3d727623ca78cb5fd | [
"MIT"
] | null | null | null | # coding: utf-8
from django.utils.translation import gettext as _
from market.core.urls import api
from urljects import U, slug, url
from market.checkout.views import cart, checkout, order, payment
action = slug.replace("slug", "action")
def active(user):
"""Check if the user is active with verified email."""
... | 44.645833 | 109 | 0.679421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,018 | 0.475035 |
78778c152bb481987b9b0fa41ad4c6ca47520ed9 | 126 | py | Python | apps/notifications/forms.py | TransparentHealth/smh-organization | ca32d1cbb7600e8b22e43e06edab83c323a2404d | [
"Apache-2.0"
] | 3 | 2019-03-03T22:41:00.000Z | 2020-04-16T04:07:07.000Z | apps/notifications/forms.py | TransparentHealth/smh_app | ca32d1cbb7600e8b22e43e06edab83c323a2404d | [
"Apache-2.0"
] | 112 | 2019-03-04T14:20:50.000Z | 2020-04-29T21:32:07.000Z | apps/notifications/forms.py | TransparentHealth/smh-organization | ca32d1cbb7600e8b22e43e06edab83c323a2404d | [
"Apache-2.0"
] | 2 | 2019-08-01T13:08:28.000Z | 2019-12-06T15:53:25.000Z | from django import forms
class DismissNotificationForm(forms.Form):
pk = forms.IntegerField(required=True, min_value=1)
| 21 | 55 | 0.785714 | 98 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7878b2bddcace81614a809f86447f1bedc047ddf | 92 | py | Python | pji/entry/__init__.py | HansBug/pji | 449d171cea0c03f4c302da886988f36f70e34ee6 | [
"Apache-2.0"
] | null | null | null | pji/entry/__init__.py | HansBug/pji | 449d171cea0c03f4c302da886988f36f70e34ee6 | [
"Apache-2.0"
] | null | null | null | pji/entry/__init__.py | HansBug/pji | 449d171cea0c03f4c302da886988f36f70e34ee6 | [
"Apache-2.0"
] | null | null | null | from .cli import cli
from .runner import DispatchRunner
from .script import load_pji_script
| 23 | 35 | 0.836957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
787af07ddabb27f12cabf735e06b4adc1ae9725b | 4,498 | py | Python | tukey/api/nova.py | Li-Ko/tukey_portal | 8dc395ef1a1ebaa806d23c88ce51460e6c202921 | [
"Apache-2.0"
] | null | null | null | tukey/api/nova.py | Li-Ko/tukey_portal | 8dc395ef1a1ebaa806d23c88ce51460e6c202921 | [
"Apache-2.0"
] | null | null | null | tukey/api/nova.py | Li-Ko/tukey_portal | 8dc395ef1a1ebaa806d23c88ce51460e6c202921 | [
"Apache-2.0"
] | null | null | null | from collections import Sequence
from django.conf import settings
from openstack_dashboard.api import nova
from openstack_dashboard.api.base import Quota
from openstack_dashboard.api.nova import flavor_list
from openstack_dashboard.api.nova import novaclient
from openstack_dashboard.api.nova import server_list
from o... | 38.118644 | 83 | 0.611827 | 2,795 | 0.621387 | 0 | 0 | 0 | 0 | 0 | 0 | 1,212 | 0.269453 |
787b63dc0fd0b28ae87da2a327123d0389504e2a | 4,881 | py | Python | blockchain/toycoin/block.py | tkuriyama/toycoin | aace6c2f2b55ddb2003dcbffff8b923ea6a47670 | [
"MIT"
] | 2 | 2021-07-14T07:45:26.000Z | 2021-08-11T19:28:42.000Z | blockchain/toycoin/block.py | tkuriyama/toycoin | aace6c2f2b55ddb2003dcbffff8b923ea6a47670 | [
"MIT"
] | null | null | null | blockchain/toycoin/block.py | tkuriyama/toycoin | aace6c2f2b55ddb2003dcbffff8b923ea6a47670 | [
"MIT"
] | null | null | null | """Construct blocks.
A block consists of a collection of transactions (of some limited number),
plus additional metadata in a header. Blocks are generated with a proof-of-work
hash.
"""
import math # type: ignore
from toycoin import hash, merkle, transaction, utils # type: ignore
from typing import List, Optional, Tu... | 28.881657 | 80 | 0.597828 | 218 | 0.044663 | 0 | 0 | 0 | 0 | 0 | 0 | 1,687 | 0.345626 |
787c3c6f3e40d9b934038220ef7e2d375b00740c | 1,172 | py | Python | uptimer/uptimer.py | sourcepirate/uptimer | 07ec5586cc1f57676073a8b3098f705ca9c843ec | [
"MIT"
] | 1 | 2021-10-10T16:17:00.000Z | 2021-10-10T16:17:00.000Z | uptimer/uptimer.py | sourcepirate/uptimer | 07ec5586cc1f57676073a8b3098f705ca9c843ec | [
"MIT"
] | null | null | null | uptimer/uptimer.py | sourcepirate/uptimer | 07ec5586cc1f57676073a8b3098f705ca9c843ec | [
"MIT"
] | null | null | null | """Main module."""
import logging
from datetime import datetime
from urllib.parse import urlparse
from typing import Any, Dict, List
import requests
def check_domain(domain_url: str) -> Dict[str, Any]:
try:
current_time = datetime.now()
session = requests.Session()
response = session.ge... | 27.255814 | 65 | 0.595563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.127986 |
787c830352c3b6240940e7f3f6a544c89fc5bdf9 | 1,071 | py | Python | tests/python_frontend/arithmetic_conversions_test.py | jnice-81/dace | 5211794a2d17b7189037ac485ab0b292fb02aa0d | [
"BSD-3-Clause"
] | 227 | 2019-03-15T23:39:06.000Z | 2022-03-30T07:49:08.000Z | tests/python_frontend/arithmetic_conversions_test.py | jnice-81/dace | 5211794a2d17b7189037ac485ab0b292fb02aa0d | [
"BSD-3-Clause"
] | 834 | 2019-07-31T22:49:31.000Z | 2022-03-28T14:01:32.000Z | tests/python_frontend/arithmetic_conversions_test.py | jnice-81/dace | 5211794a2d17b7189037ac485ab0b292fb02aa0d | [
"BSD-3-Clause"
] | 64 | 2019-03-19T05:40:37.000Z | 2022-03-11T15:02:42.000Z | # Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved.
import dace
import numpy as np
@dace.program
def add(A: dace.complex64[5, 5], B: dace.float64[5, 5]):
return A + B
def test_add():
A = np.random.randint(0, high=10, size=(5, 5), dtype=np.uint64).astype(np.complex64)
B = np.random... | 23.282609 | 88 | 0.633053 | 0 | 0 | 0 | 0 | 266 | 0.248366 | 0 | 0 | 85 | 0.079365 |
787d2f3c3a6fd4faa65d2cb284cf88e6378a574b | 1,484 | py | Python | archai/algos/divnas/divnas_exp_runner.py | cclauss/archai | a5fb8f937f7f1319e3204120803b2a045e9f768b | [
"MIT"
] | 344 | 2020-06-12T22:12:56.000Z | 2022-03-29T06:48:20.000Z | archai/algos/divnas/divnas_exp_runner.py | cclauss/archai | a5fb8f937f7f1319e3204120803b2a045e9f768b | [
"MIT"
] | 29 | 2020-06-13T19:56:49.000Z | 2022-03-30T20:26:48.000Z | archai/algos/divnas/divnas_exp_runner.py | cclauss/archai | a5fb8f937f7f1319e3204120803b2a045e9f768b | [
"MIT"
] | 68 | 2020-06-12T19:32:43.000Z | 2022-03-05T06:58:40.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Type
from overrides import overrides
from archai.common.common import get_conf
from archai.nas.exp_runner import ExperimentRunner
from archai.nas.arch_trainer import ArchTrainer, TArchTrainer
from archai.algos.darts.bilevel_a... | 29.098039 | 70 | 0.715633 | 841 | 0.566712 | 0 | 0 | 775 | 0.522237 | 0 | 0 | 162 | 0.109164 |
7880e8c114adeeed696cf6d28a33365f19d2d6f6 | 7,612 | py | Python | Seeder/settings/base.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 8 | 2017-08-16T19:18:57.000Z | 2022-01-24T10:08:19.000Z | Seeder/settings/base.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 242 | 2017-02-03T19:15:52.000Z | 2022-03-25T08:02:52.000Z | Seeder/settings/base.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 2 | 2019-03-06T12:36:29.000Z | 2019-07-08T12:52:20.000Z | """
Django settings for Seeder project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
imp... | 25.373333 | 97 | 0.638203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,995 | 0.656201 |
788255405425a8b525763b34fd49429697be3d01 | 915 | py | Python | main.py | sonmezerekrem/pytool | 181a35ef6d45eba90c5f22cb812aa9fb713443cf | [
"MIT"
] | null | null | null | main.py | sonmezerekrem/pytool | 181a35ef6d45eba90c5f22cb812aa9fb713443cf | [
"MIT"
] | null | null | null | main.py | sonmezerekrem/pytool | 181a35ef6d45eba90c5f22cb812aa9fb713443cf | [
"MIT"
] | null | null | null | import argparse
from src import passwordops
from src import fileops
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--password", help="Password operations")
parser.add_argument("--file", help="File operations")
parser.add_argument("--network", help="... | 29.516129 | 75 | 0.727869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.222951 |
788278de32ad2471d9489fe9c2247f9241b25b2a | 262 | py | Python | thenewboston_node/business_logic/models/mixins/metadata.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 30 | 2021-03-05T22:08:17.000Z | 2021-09-23T02:45:45.000Z | thenewboston_node/business_logic/models/mixins/metadata.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 148 | 2021-03-05T23:37:50.000Z | 2021-11-02T02:18:58.000Z | thenewboston_node/business_logic/models/mixins/metadata.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 14 | 2021-03-05T21:58:46.000Z | 2021-10-15T17:27:52.000Z | from dataclasses import dataclass
from thenewboston_node.core.utils.dataclass import cover_docstring, revert_docstring
from .serializable import SerializableMixin
@revert_docstring
@dataclass
@cover_docstring
class MetadataMixin(SerializableMixin):
pass
| 20.153846 | 84 | 0.854962 | 48 | 0.183206 | 0 | 0 | 94 | 0.358779 | 0 | 0 | 0 | 0 |
78833315feaedc364d2bfb0b40ea41f96410349e | 369 | py | Python | myCompany/dashboard/containers/dashboard.py | Rom4eg/myCompany | 31846a861d8b0560191e2e1d9791f101b88874df | [
"MIT"
] | null | null | null | myCompany/dashboard/containers/dashboard.py | Rom4eg/myCompany | 31846a861d8b0560191e2e1d9791f101b88874df | [
"MIT"
] | null | null | null | myCompany/dashboard/containers/dashboard.py | Rom4eg/myCompany | 31846a861d8b0560191e2e1d9791f101b88874df | [
"MIT"
] | null | null | null | import datetime
from dashboard.mixins import DashboardMixin
class DashboardContainer(object):
title = ""
date = None
content = ""
url = "";
author = ""
def __init__(self, title, content, date, url, author):
self.title = title
self.content = content
self.date = date
... | 20.5 | 58 | 0.598916 | 307 | 0.831978 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.02168 |
78848f7ee34a7d0fca0d77ac1f78fbe0189d64c4 | 2,437 | py | Python | tools/internal/tizenrt_testresult_collector.py | JoshWorld/RT-OCF | fd41fc4ccd0b3a56e6a2a1bee3e164a559a0fd45 | [
"Apache-2.0"
] | 15 | 2018-03-07T12:53:30.000Z | 2021-07-26T07:08:13.000Z | tools/internal/tizenrt_testresult_collector.py | JoshWorld/RT-OCF | fd41fc4ccd0b3a56e6a2a1bee3e164a559a0fd45 | [
"Apache-2.0"
] | 2 | 2018-01-19T06:38:20.000Z | 2018-04-09T06:34:28.000Z | tools/internal/tizenrt_testresult_collector.py | JoshWorld/RT-OCF | fd41fc4ccd0b3a56e6a2a1bee3e164a559a0fd45 | [
"Apache-2.0"
] | 4 | 2018-01-18T09:53:00.000Z | 2020-08-30T13:09:14.000Z | #!/usr/bin/env python
import glob
import serial
import sys
from internal.common import Result
import time
WIFI_SSID = 'ZEROROOT'
WIFI_PASSWORD = 'zeroroot'
class TestResultCollector:
def __init__(self, usb_device=None):
if usb_device is None:
usb_device = self.get_usb_tty_number()
sel... | 30.08642 | 88 | 0.608535 | 1,967 | 0.80714 | 0 | 0 | 0 | 0 | 0 | 0 | 331 | 0.135823 |
78859d3a0ec32800a98db67e89c1c45c1d8a70f3 | 216 | py | Python | liaoxuefeng.com/023-PartialFunction.py | snownothing/Python | 9b9e909b66db1c1eccfa41225919acdcd59ab4e3 | [
"MIT"
] | null | null | null | liaoxuefeng.com/023-PartialFunction.py | snownothing/Python | 9b9e909b66db1c1eccfa41225919acdcd59ab4e3 | [
"MIT"
] | null | null | null | liaoxuefeng.com/023-PartialFunction.py | snownothing/Python | 9b9e909b66db1c1eccfa41225919acdcd59ab4e3 | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# coding: utf-8
print int('123', base = 8)
def int2(x, base = 2):
return int(x, base)
print int2('10010')
import functools
int2 = functools.partial(int, base = 2)
print int2('10010')
| 13.5 | 39 | 0.643519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.259259 |
78888d554122d723a2a040946bd993cce961a9e0 | 2,685 | py | Python | metalearn/metalearn/data_environments/sklearn_regression.py | cosmicBboy/ml-research | 04fd31f68e7a44152caf6eaaf66ab59f136dd8f5 | [
"MIT"
] | 8 | 2018-03-04T21:14:27.000Z | 2021-11-16T11:50:12.000Z | metalearn/metalearn/data_environments/sklearn_regression.py | cosmicBboy/ml-research | 04fd31f68e7a44152caf6eaaf66ab59f136dd8f5 | [
"MIT"
] | 24 | 2018-08-01T04:39:35.000Z | 2020-08-18T13:21:56.000Z | metalearn/metalearn/data_environments/sklearn_regression.py | cosmicBboy/ml-research | 04fd31f68e7a44152caf6eaaf66ab59f136dd8f5 | [
"MIT"
] | 4 | 2020-01-22T04:21:44.000Z | 2021-06-25T10:11:22.000Z | """Module for sampling from a distribution of regression environments."""
from collections import OrderedDict
from functools import partial
import sklearn.datasets
from .data_environment import DataEnvironment
from ..data_types import FeatureType, TargetType, DataSourceType
def envs(n=5, test_size=None, random_sta... | 38.913043 | 73 | 0.603352 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.104655 |
7888949bd7f932e7b291514995f398653ef1a039 | 9,561 | py | Python | tethys_apps/cli/services_commands.py | quyendong/tethys | 99bcb524d5b2021b88d5fa15b7ed6b8acb460997 | [
"BSD-2-Clause"
] | 1 | 2020-10-08T20:38:33.000Z | 2020-10-08T20:38:33.000Z | tethys_apps/cli/services_commands.py | quyendong/tethys | 99bcb524d5b2021b88d5fa15b7ed6b8acb460997 | [
"BSD-2-Clause"
] | 1 | 2018-04-14T19:40:54.000Z | 2018-04-14T19:40:54.000Z | tethys_apps/cli/services_commands.py | quyendong/tethys | 99bcb524d5b2021b88d5fa15b7ed6b8acb460997 | [
"BSD-2-Clause"
] | 1 | 2021-09-07T14:47:11.000Z | 2021-09-07T14:47:11.000Z | from __future__ import print_function
from django.core.exceptions import ObjectDoesNotExist
from django.db.utils import IntegrityError
from django.forms.models import model_to_dict
from .cli_colors import BOLD, pretty_output, FG_RED, FG_GREEN
from .cli_helpers import add_geoserver_rest_to_endpoint
from builtins impor... | 41.751092 | 117 | 0.590315 | 86 | 0.008995 | 0 | 0 | 0 | 0 | 0 | 0 | 2,014 | 0.210647 |
788a11df4d7eb86501d6c98b081b63c1da73fda6 | 6,078 | py | Python | graphAttack/gaUtilities/neuralNetwork.py | jgolebiowski/graphAttack | ec8488444b44d0bd54498bf917ee42d821643ee8 | [
"MIT"
] | 51 | 2017-08-16T13:04:43.000Z | 2022-03-30T09:10:30.000Z | graphAttack/gaUtilities/neuralNetwork.py | jgolebiowski/graphAttack | ec8488444b44d0bd54498bf917ee42d821643ee8 | [
"MIT"
] | null | null | null | graphAttack/gaUtilities/neuralNetwork.py | jgolebiowski/graphAttack | ec8488444b44d0bd54498bf917ee42d821643ee8 | [
"MIT"
] | 12 | 2017-09-27T01:10:02.000Z | 2021-05-05T09:44:56.000Z | """Neural networks utilities"""
import numpy as np
from ..coreDataContainers import Variable
from ..operations.activationOperations import *
from ..operations.costOperations import *
from ..operations.twoInputOperations import *
from ..operations.singleInputOperations import *
from ..operations.convolutionOperation imp... | 36.614458 | 106 | 0.618954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,898 | 0.312274 |
788c4b05fc916695f80ef1ea25828672d59aa6d7 | 28,835 | py | Python | unity/MMutils.py | kreimanlab/WhenPigsFlyContext | 4d03bb29f3be3e96c2b9d1945dc08c381abae513 | [
"MIT"
] | 13 | 2021-04-07T15:39:24.000Z | 2022-03-08T19:01:20.000Z | unity/MMutils.py | kreimanlab/WhenPigsFlyContext | 4d03bb29f3be3e96c2b9d1945dc08c381abae513 | [
"MIT"
] | 1 | 2021-11-13T17:18:03.000Z | 2021-12-03T02:05:33.000Z | unity/MMutils.py | kreimanlab/WhenPigsFlyContext | 4d03bb29f3be3e96c2b9d1945dc08c381abae513 | [
"MIT"
] | 1 | 2021-04-18T18:14:51.000Z | 2021-04-18T18:14:51.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 1 17:14:58 2020
@author: mengmi
"""
import IPython.display
# cd into virtualhome repo
import sys
sys.path.append('../simulation/')
from unity_simulator.comm_unity import UnityCommunication
import PIL
import numpy as np
from collections import defa... | 37.69281 | 157 | 0.594902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,086 | 0.176383 |
788e61041c9a49c346500289a402234d7ce95ad1 | 6,820 | py | Python | jobs.py | jeinarsson/josync | 03cd5690f72d1dffb46f5668c3539fd7da2ae9a9 | [
"MIT"
] | null | null | null | jobs.py | jeinarsson/josync | 03cd5690f72d1dffb46f5668c3539fd7da2ae9a9 | [
"MIT"
] | 2 | 2015-01-13T23:01:22.000Z | 2015-08-13T10:55:43.000Z | jobs.py | jeinarsson/josync | 03cd5690f72d1dffb46f5668c3539fd7da2ae9a9 | [
"MIT"
] | null | null | null | import utils
import json
import os
import logging
import subprocess as sp
import re
import datetime
logger = logging.getLogger(__name__)
class Job(object):
"""Parent class for backup jobs."""
def __init__(self,params):
super(Job, self).__init__()
logger.debug("Entering Job constructor.")
... | 36.084656 | 114 | 0.590469 | 5,901 | 0.864996 | 0 | 0 | 0 | 0 | 0 | 0 | 1,973 | 0.289211 |
788eb0842dabcf5bdcfbc33b4a3c93db411e4720 | 316 | py | Python | test/testConnectDB.py | dantegg/pythonWeather | ceda06e0fb2fe68695b56f8bf0d206099d8779d9 | [
"MIT"
] | null | null | null | test/testConnectDB.py | dantegg/pythonWeather | ceda06e0fb2fe68695b56f8bf0d206099d8779d9 | [
"MIT"
] | null | null | null | test/testConnectDB.py | dantegg/pythonWeather | ceda06e0fb2fe68695b56f8bf0d206099d8779d9 | [
"MIT"
] | null | null | null | #coding:utf-8
import sys
sys.path.append("..")
from connectDB import connectDB
testDB = connectDB
testWeatherRecord = {
"collectTime": '2016-10-16',
"ctemp":'22'
}
testconnection = testDB.connectMongo()
testDB.saveWeather(testWeatherRecord,testconnection)
testDB.printWeather(testconnection) | 18.588235 | 52 | 0.727848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.167722 |
789058adc310f2219139e2b3fcb62604800cf282 | 1,249 | py | Python | babybuddy/migrations/0003_add_refresh_help_text.py | Gitoffomalawn/babybuddy | 3fc147c2f16167858284e2bbec657b1756157fd3 | [
"BSD-2-Clause"
] | 922 | 2017-10-26T13:15:40.000Z | 2020-02-05T19:06:13.000Z | babybuddy/migrations/0003_add_refresh_help_text.py | Gitoffomalawn/babybuddy | 3fc147c2f16167858284e2bbec657b1756157fd3 | [
"BSD-2-Clause"
] | 109 | 2017-10-26T14:00:30.000Z | 2020-02-05T23:37:11.000Z | babybuddy/migrations/0003_add_refresh_help_text.py | Gitoffomalawn/babybuddy | 3fc147c2f16167858284e2bbec657b1756157fd3 | [
"BSD-2-Clause"
] | 87 | 2017-10-26T13:15:54.000Z | 2020-01-25T12:49:46.000Z | # Generated by Django 2.0.5 on 2018-07-15 14:16
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("babybuddy", "0002_add_settings"),
]
operations = [
migrations.AlterField(
model_name="settings",
nam... | 33.756757 | 109 | 0.491593 | 1,140 | 0.91273 | 0 | 0 | 0 | 0 | 0 | 0 | 284 | 0.227382 |
78907edec7992fb491f3918fa2ca9ac505827ceb | 1,553 | py | Python | gender-age/test.py | hazxone/insightface | 215e0b602c05be204051225cf84d3691a8672b31 | [
"MIT"
] | null | null | null | gender-age/test.py | hazxone/insightface | 215e0b602c05be204051225cf84d3691a8672b31 | [
"MIT"
] | null | null | null | gender-age/test.py | hazxone/insightface | 215e0b602c05be204051225cf84d3691a8672b31 | [
"MIT"
] | null | null | null | import face_model
import argparse
import cv2
import sys
import numpy as np
import datetime
import os
import csv
parser = argparse.ArgumentParser(description='face model test')
# general
parser.add_argument('--image-size', default='112,112', help='')
parser.add_argument('--image', default='Tom_Hanks_54745.png', help=''... | 31.693878 | 119 | 0.692853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 746 | 0.480361 |
7890861cf35effbd978b1f446fe1133e0f69c410 | 12,683 | py | Python | analysis/analysis/seg_stats.py | asaran/sawyer-demos_human-audio | b9f1d1df152234569a95b525441e2afba43f54bf | [
"MIT"
] | null | null | null | analysis/analysis/seg_stats.py | asaran/sawyer-demos_human-audio | b9f1d1df152234569a95b525441e2afba43f54bf | [
"MIT"
] | null | null | null | analysis/analysis/seg_stats.py | asaran/sawyer-demos_human-audio | b9f1d1df152234569a95b525441e2afba43f54bf | [
"MIT"
] | null | null | null |
# Analyze the ground truth hand annotated audio features with error presence/segment presence. (Level II)
# [What kind of mistake types there are? What are the types of audio that are labeled there?]
# TODO: bar plots indicating how frequent errors/segment types are
# TODO: What is the distribution of human audio typ... | 46.457875 | 119 | 0.498305 | 11,734 | 0.925175 | 0 | 0 | 0 | 0 | 0 | 0 | 3,437 | 0.270993 |
7890995ad59e5c3bbb5109c842b33e0e62a5d810 | 1,255 | py | Python | exceptions.py | SynStratos/Fitness_Pose_Machine | 006576f36b2e5c9b592a1585a91791a0af950814 | [
"MIT"
] | 3 | 2020-06-18T21:43:07.000Z | 2021-12-18T22:43:44.000Z | exceptions.py | SynStratos/Fitness_Pose_Machine | 006576f36b2e5c9b592a1585a91791a0af950814 | [
"MIT"
] | null | null | null | exceptions.py | SynStratos/Fitness_Pose_Machine | 006576f36b2e5c9b592a1585a91791a0af950814 | [
"MIT"
] | null | null | null | class BadRepetitionException(Exception):
"""
exception raised for a bad repetition
"""
def __init__(self, *args):
super(BadRepetitionException, self).__init__(*args)
class NoneRepetitionException(Exception):
"""
exception raised for repetition ended without movements
"""
def __... | 27.282609 | 84 | 0.690837 | 1,240 | 0.988048 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.342629 |
7890d4f24ed4a643bfc95b0ced319e559f2a1e26 | 4,786 | py | Python | AVSD_Baseline/Feature_Extraction/extract_i3d_rgb_features.py | hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge | 6a5ee8542132ad6634ee02896d7c935b8c447d78 | [
"MIT"
] | 51 | 2018-06-04T11:34:58.000Z | 2022-03-09T09:18:08.000Z | AVSD_Baseline/Feature_Extraction/extract_i3d_rgb_features.py | TwentyBN/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge | 61ea13cd680fc4743ad20e010c6d3047e03b993c | [
"MIT"
] | 4 | 2018-08-17T12:40:34.000Z | 2020-01-09T19:00:56.000Z | AVSD_Baseline/Feature_Extraction/extract_i3d_rgb_features.py | hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge | 6a5ee8542132ad6634ee02896d7c935b8c447d78 | [
"MIT"
] | 13 | 2018-06-01T19:50:44.000Z | 2020-12-04T03:37:48.000Z | """I3D feature extration using a tensorflow model.
Copyright 2018 Mitsubishi Electric Research Labs
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import h5py
import numpy as np
import tensorflow as tf
import time
import os
import scipy.io as sio
im... | 39.553719 | 120 | 0.602382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 632 | 0.132052 |
7891d89406deccb9af158b35a76ea6e08c700edb | 1,037 | py | Python | code/add_country_lat_lon.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | 2 | 2021-08-22T10:02:08.000Z | 2021-11-09T11:30:31.000Z | code/add_country_lat_lon.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | null | null | null | code/add_country_lat_lon.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | null | null | null | import csv
import collections # iterator and counter libraries
with open("../MIT_WT_datafiles/country_names.csv", 'r') as cntry, open("../MIT_WT_datafiles/country_lat_lon_from_google.csv", 'r') as ll, open("../MIT_WT_datafiles/cntry_lat_lon_combined.csv", 'w') as output:
reader = csv.reader(cntry) #,delimiter='... | 35.758621 | 208 | 0.66731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 379 | 0.365477 |
7895a56533a856d00ddcc556bf216b2bb9177e04 | 6,354 | py | Python | ermaket/api/system/auth.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | ermaket/api/system/auth.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | ermaket/api/system/auth.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | import logging
from sqlalchemy.orm.exc import NoResultFound
from werkzeug.security import generate_password_hash
from ermaket.api.database import DBConn
from ermaket.api.models import Models, NamesConverter
from ermaket.api.system.hierarchy import AccessRight, PrebuiltPageType
from ermaket.utils import Singleton
fro... | 34.532609 | 77 | 0.583727 | 5,594 | 0.88039 | 0 | 0 | 79 | 0.012433 | 0 | 0 | 349 | 0.054926 |
7895bdd07a7517b3b9e9dfa70984e814010bc677 | 114 | py | Python | winter/routing/query_parameters/query_parameter.py | EvgenySmekalin/winter | 24b6a02f958478547a4a120324823743a1f7e1a1 | [
"MIT"
] | 9 | 2019-01-24T11:50:19.000Z | 2019-07-05T07:58:46.000Z | winter/routing/query_parameters/query_parameter.py | EvgenySmekalin/winter | 24b6a02f958478547a4a120324823743a1f7e1a1 | [
"MIT"
] | 100 | 2019-01-29T08:11:38.000Z | 2020-04-03T12:00:42.000Z | winter/routing/query_parameters/query_parameter.py | EvgenySmekalin/winter | 24b6a02f958478547a4a120324823743a1f7e1a1 | [
"MIT"
] | 8 | 2020-07-16T13:56:50.000Z | 2021-12-27T03:33:23.000Z | import dataclasses
@dataclasses.dataclass
class QueryParameter:
name: str
map_to: str
explode: bool
| 12.666667 | 22 | 0.72807 | 69 | 0.605263 | 0 | 0 | 92 | 0.807018 | 0 | 0 | 0 | 0 |
7897d25e3d9c9fe5aa2e8cfd3788a5de8d96e834 | 2,791 | py | Python | pylti1p3/launch_data_storage/base.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 62 | 2019-08-13T11:24:36.000Z | 2022-03-11T16:24:55.000Z | pylti1p3/launch_data_storage/base.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 58 | 2019-08-13T13:27:27.000Z | 2022-03-28T11:00:56.000Z | pylti1p3/launch_data_storage/base.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 35 | 2019-10-11T18:26:02.000Z | 2022-03-29T08:33:00.000Z | import typing as t
from abc import ABCMeta, abstractmethod
if t.TYPE_CHECKING:
from ..request import Request
_T_DISABLED_SESSION_ID = t.TypeVar('_T_DISABLED_SESSION_ID', bound='DisableSessionId')
T = t.TypeVar('T')
class LaunchDataStorage(t.Generic[T]):
__metaclass__ = ABCMeta
_request = None # type: t... | 29.691489 | 86 | 0.627732 | 2,564 | 0.918667 | 0 | 0 | 478 | 0.171265 | 0 | 0 | 603 | 0.216052 |
789a940855a4fdec7e550813b2608db3bb1d258c | 2,096 | py | Python | sphinxcontrib/confluencebuilder/translator/shared.py | richardhofman6/sphinxcontrib-confluencebuilder | 617fbb99b13751feafe793773268da87a3448849 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/translator/shared.py | richardhofman6/sphinxcontrib-confluencebuilder | 617fbb99b13751feafe793773268da87a3448849 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/translator/shared.py | richardhofman6/sphinxcontrib-confluencebuilder | 617fbb99b13751feafe793773268da87a3448849 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
sphinxcontrib.confluencebuilder.translator.shared
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: Copyright 2016-2018 by the contributors (see AUTHORS file).
:license: BSD, see LICENSE.txt for details.
"""
from __future__ import (absolute_import, print_functio... | 34.360656 | 82 | 0.694179 | 1,518 | 0.724237 | 0 | 0 | 0 | 0 | 0 | 0 | 812 | 0.387405 |
789bdd5e34a470287b773e590ecc610782669894 | 545 | py | Python | pyro/CaseInsensitiveList.py | dmdemoura/pyro | cf4b6651a9e5d603abb6e0b8c0b3bbaf407c0b08 | [
"MIT"
] | null | null | null | pyro/CaseInsensitiveList.py | dmdemoura/pyro | cf4b6651a9e5d603abb6e0b8c0b3bbaf407c0b08 | [
"MIT"
] | null | null | null | pyro/CaseInsensitiveList.py | dmdemoura/pyro | cf4b6651a9e5d603abb6e0b8c0b3bbaf407c0b08 | [
"MIT"
] | null | null | null | from collections import UserList
class CaseInsensitiveList(UserList):
"""
Simple list type for storing and comparing strings case-insensitively
"""
def __contains__(self, item: object) -> bool:
if isinstance(item, str):
return any(item.casefold() == x.casefold() for x in s... | 30.277778 | 75 | 0.607339 | 505 | 0.926606 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.159633 |
789ccecbc53bbdded880ac33de58a7bbeecb50e7 | 1,062 | py | Python | pinnwand/cli.py | aether-space/pinnwand | 427c8fe68486f2afa0832abbe584595e51848c03 | [
"BSD-3-Clause"
] | null | null | null | pinnwand/cli.py | aether-space/pinnwand | 427c8fe68486f2afa0832abbe584595e51848c03 | [
"BSD-3-Clause"
] | null | null | null | pinnwand/cli.py | aether-space/pinnwand | 427c8fe68486f2afa0832abbe584595e51848c03 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
from datetime import datetime, timedelta
from pinnwand.models import Base, engine, session, Paste
def main():
args = sys.argv[1:]
if args:
if args[0] == "init_db":
Base.metadata.create_all(engine)
if args[0] == "add":
paste = Paste("<... | 25.285714 | 90 | 0.548964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.107345 |
789e80d561984bf5a1ebb8afe7abe71ef6eeb87f | 296 | py | Python | utils.py | debater-coder/py-simple-tracer | ac8ccfd1830be9072502fb27faced180ed893390 | [
"MIT"
] | null | null | null | utils.py | debater-coder/py-simple-tracer | ac8ccfd1830be9072502fb27faced180ed893390 | [
"MIT"
] | null | null | null | utils.py | debater-coder/py-simple-tracer | ac8ccfd1830be9072502fb27faced180ed893390 | [
"MIT"
] | null | null | null | import numpy as np
def lerp(a, b, t):
return a * (1 - t) + b * t
def normalize(vector):
return vector / np.linalg.norm(vector)
def random_unit_vector():
point = np.random.rand(3)
while np.dot(point, point) >= 1:
point = np.random.rand(3)
return normalize(point)
| 17.411765 | 42 | 0.614865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
789fa2729424c49d88156fb0210d7cb6917ce60b | 357 | py | Python | examples/grid_numbers.py | lebalz/smartphone-connector | 303cbdb851416c1da7329e7bae2ee4a12aa7f5b0 | [
"MIT"
] | 1 | 2021-01-24T01:22:12.000Z | 2021-01-24T01:22:12.000Z | examples/grid_numbers.py | lebalz/smartphone-connector | 303cbdb851416c1da7329e7bae2ee4a12aa7f5b0 | [
"MIT"
] | 1 | 2020-09-14T17:12:53.000Z | 2020-09-14T17:12:53.000Z | examples/grid_numbers.py | lebalz/smartphone-connector | 303cbdb851416c1da7329e7bae2ee4a12aa7f5b0 | [
"MIT"
] | 1 | 2020-09-14T12:51:48.000Z | 2020-09-14T12:51:48.000Z | import os
import sys
from pprint import pprint
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from smartphone_connector import Connector
from examples.server_address import SERVER_ADDRESS
device = Connector(SERVER_ADDRESS, 'FooBar')
device.set_grid([1, 2, 3, 4], base_color='blue')
... | 25.5 | 82 | 0.77591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.05042 |
78a2c697223c67940447a26395bef5e289aebf8d | 736 | py | Python | tests/actions/_action.py | zduey/shap | 1bb8203f2d43f7552396a5f26167a258cbdc505c | [
"MIT"
] | 16,097 | 2016-12-01T20:01:26.000Z | 2022-03-31T20:27:40.000Z | tests/actions/_action.py | zduey/shap | 1bb8203f2d43f7552396a5f26167a258cbdc505c | [
"MIT"
] | 2,217 | 2017-09-18T20:06:45.000Z | 2022-03-31T21:00:25.000Z | tests/actions/_action.py | zduey/shap | 1bb8203f2d43f7552396a5f26167a258cbdc505c | [
"MIT"
] | 2,634 | 2017-06-29T21:30:46.000Z | 2022-03-30T07:30:36.000Z | """ Unit tests for the Exact explainer.
"""
# pylint: disable=missing-function-docstring
import numpy as np
import pandas as pd
import shap
def test_create_and_run():
X = pd.DataFrame({"feature1": np.ones(5), "feature2": np.ones(5)})
class IncreaseFeature1(shap.actions.Action):
""" Sample action.
... | 23.741935 | 70 | 0.601902 | 346 | 0.470109 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.263587 |
78a3b061984d25f892de9e2d172a18884e735177 | 1,781 | py | Python | fastquotes/fund/history.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | 4 | 2020-11-18T11:25:00.000Z | 2021-04-08T01:02:49.000Z | fastquotes/fund/history.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | null | null | null | fastquotes/fund/history.py | YangzhenZhao/fastquotes | 1faba9f7fc7801a11359001e08cefa9cfbc41d64 | [
"MIT"
] | 1 | 2020-11-18T11:25:01.000Z | 2020-11-18T11:25:01.000Z | import json
from datetime import datetime
from typing import Optional
import requests
from ..const import CUSTOM_HEADER
def get_dividend(msg: str) -> Optional[float]:
if not msg:
return None
left, right = 0, len(msg) - 1
while not msg[left].isdigit() or not msg[right].isdigit():
if not m... | 30.706897 | 83 | 0.590679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.133478 |
78a4817896a145e970020819125dee94a1bc26c2 | 1,221 | py | Python | Code/venv/src/Unit Testing/test_register.py | WebMetadataRetrieval/15-Web_Metadata_Retrieval | 96a9c8869ccc5429c4de9e97d37705bbb9e19c5b | [
"Apache-2.0"
] | null | null | null | Code/venv/src/Unit Testing/test_register.py | WebMetadataRetrieval/15-Web_Metadata_Retrieval | 96a9c8869ccc5429c4de9e97d37705bbb9e19c5b | [
"Apache-2.0"
] | 38 | 2021-04-01T18:09:31.000Z | 2021-05-08T17:27:03.000Z | Code/venv/src/Unit Testing/test_register.py | WebMetadataRetrieval/15-Web_Metadata_Retrieval | 96a9c8869ccc5429c4de9e97d37705bbb9e19c5b | [
"Apache-2.0"
] | 3 | 2021-04-16T07:25:11.000Z | 2022-01-29T10:24:33.000Z | from django.conf import settings
from django.test import TestCase
from django.contrib.auth import get_user_model
# Create your tests here.
User = get_user_model()
class RegistrationTestCase(TestCase):
# Setup for our Tests
def setUp(self):
user_a = User(email='abcd@invalid.com')
user_a_pw =... | 30.525 | 72 | 0.670762 | 1,053 | 0.862408 | 0 | 0 | 0 | 0 | 0 | 0 | 318 | 0.260442 |
78a496b2a0070c4f4f9eaf3fbeda74f89fbfda56 | 110 | py | Python | gdbcat/__init__.py | mcdeid/gdb-cat | 2a861eaa3ee0360f26266397f47c2a5c16c0281f | [
"MIT"
] | null | null | null | gdbcat/__init__.py | mcdeid/gdb-cat | 2a861eaa3ee0360f26266397f47c2a5c16c0281f | [
"MIT"
] | null | null | null | gdbcat/__init__.py | mcdeid/gdb-cat | 2a861eaa3ee0360f26266397f47c2a5c16c0281f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 25 15:06:49 2019
@author: smcdeid
"""
from .cat import Gdbcat | 13.75 | 35 | 0.627273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.763636 |
78a63407fdf170dd04e91df753c26e7db2382f0f | 6,405 | py | Python | python-example/test_tittle_collor_and_font.py | eugene-petrash/selenium-webdriver-full-tutorial | a83f77982b28c2228b48e531f34ae6ff24808039 | [
"Apache-2.0"
] | null | null | null | python-example/test_tittle_collor_and_font.py | eugene-petrash/selenium-webdriver-full-tutorial | a83f77982b28c2228b48e531f34ae6ff24808039 | [
"Apache-2.0"
] | null | null | null | python-example/test_tittle_collor_and_font.py | eugene-petrash/selenium-webdriver-full-tutorial | a83f77982b28c2228b48e531f34ae6ff24808039 | [
"Apache-2.0"
] | null | null | null | import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
import regex # pip install regex
@pytest.fixture
def driver(request):
wd = webdriver.Chrome()
wd.implicitly_wait(2)
request.addfinalizer(wd.quit)
return wd
def test_tittle_collor_and_font(driver):
driver.get... | 62.794118 | 156 | 0.779859 | 0 | 0 | 0 | 0 | 138 | 0.021546 | 0 | 0 | 1,308 | 0.204215 |
78a7a55aa4340aef048d0c56e138e8fbbb85d556 | 102 | py | Python | net_automation/apps.py | Nikolas-01/Lesson_21- | 025ff91547465a57e6a8d5911896fcdfb8c7e3f8 | [
"MIT"
] | null | null | null | net_automation/apps.py | Nikolas-01/Lesson_21- | 025ff91547465a57e6a8d5911896fcdfb8c7e3f8 | [
"MIT"
] | 4 | 2021-03-30T14:19:21.000Z | 2021-09-22T19:33:36.000Z | net_automation/apps.py | Nikolas-01/Lesson_21- | 025ff91547465a57e6a8d5911896fcdfb8c7e3f8 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class NetAutomationConfig(AppConfig):
name = 'net_automation'
| 17 | 37 | 0.784314 | 65 | 0.637255 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.156863 |
78a897b7f40cac7c3cf59971f4394a4765aa060b | 599 | py | Python | dacy/tests/test_download.py | MalteHB/DaCy | 1c3d348b14368c772d13344d35dc076b01d5bf07 | [
"Apache-2.0"
] | 1 | 2021-07-24T19:14:34.000Z | 2021-07-24T19:14:34.000Z | dacy/tests/test_download.py | MalteHB/DaCy | 1c3d348b14368c772d13344d35dc076b01d5bf07 | [
"Apache-2.0"
] | null | null | null | dacy/tests/test_download.py | MalteHB/DaCy | 1c3d348b14368c772d13344d35dc076b01d5bf07 | [
"Apache-2.0"
] | null | null | null | import urllib
import os
from dacy.download import models_url
from dacy.load import load
def test_urls():
for m, url in models_url.items():
print(m)
req = urllib.request.Request(url, method="HEAD")
f = urllib.request.urlopen(req)
assert f.status == 200
print("\t Status:", f.... | 24.958333 | 56 | 0.599332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.171953 |
78ab84fbfc0799cfbe7822b26a69af440075f9ad | 19,503 | py | Python | flowsa/USDA_CoA_Cropland.py | ericmbell1/flowsa | d251301864289a4de42dda118c9c6da41bcf4cf0 | [
"CC0-1.0"
] | null | null | null | flowsa/USDA_CoA_Cropland.py | ericmbell1/flowsa | d251301864289a4de42dda118c9c6da41bcf4cf0 | [
"CC0-1.0"
] | null | null | null | flowsa/USDA_CoA_Cropland.py | ericmbell1/flowsa | d251301864289a4de42dda118c9c6da41bcf4cf0 | [
"CC0-1.0"
] | null | null | null | # USDA_CoA_Cropland.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
import json
import numpy as np
import pandas as pd
from flowsa.common import *
from flowsa.flowbyfunctions import assign_fips_location_system, sector_disaggregation
def CoA_Cropland_URL_helper(build_url, config, args):
"""This helper function... | 53.57967 | 153 | 0.654463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,308 | 0.528534 |
78abd190bf2a63aa7b7a97ea20a03a84acf5f2f9 | 1,032 | py | Python | Regular_Expressions/Regular_Expressions.py | Jadams29/Coding_Problems | 780af79cfa3933922a06b571e13322ff517b87ef | [
"MIT"
] | null | null | null | Regular_Expressions/Regular_Expressions.py | Jadams29/Coding_Problems | 780af79cfa3933922a06b571e13322ff517b87ef | [
"MIT"
] | null | null | null | Regular_Expressions/Regular_Expressions.py | Jadams29/Coding_Problems | 780af79cfa3933922a06b571e13322ff517b87ef | [
"MIT"
] | null | null | null | # Regular Expressions (RegEx) are used to
# 1. Search for a specific string in a large amount of data
# 2. Verify that a string has the proper format (Email, Phone #)
# 3. Find a string and replace it with another string
# 4. Format data into the proper form for importing for example
import re
if re.search("ape", "T... | 23.454545 | 89 | 0.689922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 528 | 0.511628 |
78ad4b986a8ab80a87cd7b6fae6377801b600a11 | 29 | py | Python | test_functions/kafka_function.py | vudung45/ProtoK | ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7 | [
"MIT"
] | 1 | 2021-07-15T11:29:56.000Z | 2021-07-15T11:29:56.000Z | test_functions/kafka_function.py | vudung45/ProtoK | ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7 | [
"MIT"
] | null | null | null | test_functions/kafka_function.py | vudung45/ProtoK | ca0a84c46bcd02cf50f1e8565a00ae602a10b3c7 | [
"MIT"
] | null | null | null |
def kafka(msg):
print(msg) | 7.25 | 15 | 0.655172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
78ae8759ea2b129373c29e7f5013918d787344a7 | 10,347 | py | Python | doc/jupyter_execute/notebooks/protocol_examples.py | edshee/seldon-core | 78c10fbca16a5e2a0c25b9673aa3deb220070e26 | [
"Apache-2.0"
] | null | null | null | doc/jupyter_execute/notebooks/protocol_examples.py | edshee/seldon-core | 78c10fbca16a5e2a0c25b9673aa3deb220070e26 | [
"Apache-2.0"
] | null | null | null | doc/jupyter_execute/notebooks/protocol_examples.py | edshee/seldon-core | 78c10fbca16a5e2a0c25b9673aa3deb220070e26 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Basic Examples with Different Protocols
#
# ## Prerequisites
#
# * A kubernetes cluster with kubectl configured
# * curl
# * grpcurl
# * pygmentize
#
# ## Examples
#
# * [Seldon Protocol](#Seldon-Protocol-Model)
# * [Tensorflow Protocol](#Tensorflow-Protocol-Model... | 35.313993 | 912 | 0.663381 | 0 | 0 | 0 | 0 | 129 | 0.012467 | 0 | 0 | 8,093 | 0.782159 |
78b114541d2883d76b5e6615c0019a1dbcd48b43 | 1,129 | py | Python | src/experiments/models/index_emb_classifier.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | src/experiments/models/index_emb_classifier.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | src/experiments/models/index_emb_classifier.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | import torch
from torch import nn
from tabnet_lightning import TabNetClassifier
class IndexEmbTabNetClassifier(TabNetClassifier):
"""test model implementation using index based embeddings"""
def __init__(self, **kwargs):
super(IndexEmbTabNetClassifier, self).__init__(**kwargs)
self.index_em... | 28.225 | 98 | 0.635075 | 617 | 0.546501 | 0 | 0 | 0 | 0 | 0 | 0 | 518 | 0.458813 |
78b122bff610d3b425a22d6e2a005f675785a7e9 | 11,595 | py | Python | ballgameActorCritic.py | ranok92/toySocialNav | 06b935621c088605f0d395c01ae73e2f37a2e7e4 | [
"MIT"
] | 1 | 2021-05-26T01:41:13.000Z | 2021-05-26T01:41:13.000Z | ballgameActorCritic.py | ranok92/toySocialNav | 06b935621c088605f0d395c01ae73e2f37a2e7e4 | [
"MIT"
] | null | null | null | ballgameActorCritic.py | ranok92/toySocialNav | 06b935621c088605f0d395c01ae73e2f37a2e7e4 | [
"MIT"
] | null | null | null | import ballenv_pygame as BE
#from flat_game import ballgamepyg as BE
import numpy as np
from itertools import count
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Categorical
import datetime
from matplotli... | 29.206549 | 170 | 0.601811 | 1,593 | 0.137387 | 0 | 0 | 0 | 0 | 0 | 0 | 2,915 | 0.251401 |
78b1ddaf10061b10db5d28ce24732f514b36c95b | 616 | py | Python | MOD/game_stats.py | divineflatus/MOD | 988299e0e75d8f8fa7893c22ab0db707f02a8f1d | [
"MIT"
] | null | null | null | MOD/game_stats.py | divineflatus/MOD | 988299e0e75d8f8fa7893c22ab0db707f02a8f1d | [
"MIT"
] | null | null | null | MOD/game_stats.py | divineflatus/MOD | 988299e0e75d8f8fa7893c22ab0db707f02a8f1d | [
"MIT"
] | null | null | null | import pygame
#Class to store game statistics
class GameStats():
def __init__(self, mod_settings):
#Initialize MOD settings
self.mod_settings = mod_settings
#Number of lives available
self.ninjas_left = self.mod_settings.ninja_limit
#Starts inactive until 'Pla... | 24.64 | 57 | 0.641234 | 564 | 0.915584 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.300325 |
78b3b7b20fc77d21a6acfb8879b55256c9895bc0 | 101 | py | Python | data.py | alexhong121/py_pt | 78f11f2a2fed54154017371a97de563a8fffcd81 | [
"MIT"
] | null | null | null | data.py | alexhong121/py_pt | 78f11f2a2fed54154017371a97de563a8fffcd81 | [
"MIT"
] | null | null | null | data.py | alexhong121/py_pt | 78f11f2a2fed54154017371a97de563a8fffcd81 | [
"MIT"
] | null | null | null | # 檢查變數的型態是否正確
isinstance(7,int)
print(isinstance(7,int)) # True
a=7
print(type(a)) # <class 'int'> | 14.428571 | 31 | 0.673267 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.463415 |
78b58b48b827ca39fceb691318d6f8b6d3109a50 | 1,985 | py | Python | RealDataset_SocialChemical/datasets/dataset.py | GKAT-NeurIPS2021/GKAT_Experiments | 38eda546bfedfaf5a86999309c30595d9fe83cc7 | [
"MIT"
] | 3 | 2021-07-29T05:20:45.000Z | 2022-01-07T01:24:44.000Z | RealDataset_SocialChemical/datasets/dataset.py | GKAT-NeurIPS2021/GKAT_Experiments | 38eda546bfedfaf5a86999309c30595d9fe83cc7 | [
"MIT"
] | null | null | null | RealDataset_SocialChemical/datasets/dataset.py | GKAT-NeurIPS2021/GKAT_Experiments | 38eda546bfedfaf5a86999309c30595d9fe83cc7 | [
"MIT"
] | null | null | null | import numpy as np
class GraphDataset:
def __init__(self, data):
self.data = data
def __getitem__(self, index):
return self.data[index]
def __len__(self):
return len(self.data)
def get_targets(self):
targets = [d.y.item() for d in self.data]
return np.array(t... | 29.191176 | 98 | 0.580353 | 1,960 | 0.987406 | 0 | 0 | 0 | 0 | 0 | 0 | 706 | 0.355668 |
78b6dc301c1b043d7640e21cef75902cf0f201a3 | 1,373 | py | Python | tests/grammar/test_sql_file.py | Daniihh/sqlpyparser | aad1d613c02d4f8fa6b833c060a683cf7e194b1c | [
"MIT"
] | 28 | 2016-02-13T10:20:21.000Z | 2022-03-10T02:41:58.000Z | tests/grammar/test_sql_file.py | Daniihh/sqlpyparser | aad1d613c02d4f8fa6b833c060a683cf7e194b1c | [
"MIT"
] | 22 | 2016-02-15T15:55:09.000Z | 2017-09-12T13:49:17.000Z | tests/grammar/test_sql_file.py | Daniihh/sqlpyparser | aad1d613c02d4f8fa6b833c060a683cf7e194b1c | [
"MIT"
] | 16 | 2016-02-15T16:41:23.000Z | 2021-05-18T04:51:52.000Z | # -*- encoding:utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
from mysqlparse.grammar.sql_file import sql_file_syntax
class SqlFileSyntaxTest(unittest.TestCase):
def test_multiple_statements(self):
sql_file = sql_file_syntax.parseString("""
... | 35.205128 | 82 | 0.674436 | 1,188 | 0.865259 | 0 | 0 | 0 | 0 | 0 | 0 | 776 | 0.565186 |
78b76294cbc37248ab04281f09991a89a57a24b6 | 2,061 | py | Python | barchart2.py | ahealy19/F-IDE-2016 | 82fd4664fc105174cbe2f1a57e2a099fbf3c81d8 | [
"Apache-2.0"
] | 2 | 2017-10-13T09:16:01.000Z | 2018-01-23T04:03:19.000Z | barchart2.py | ahealy19/F-IDE-2016 | 82fd4664fc105174cbe2f1a57e2a099fbf3c81d8 | [
"Apache-2.0"
] | null | null | null | barchart2.py | ahealy19/F-IDE-2016 | 82fd4664fc105174cbe2f1a57e2a099fbf3c81d8 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from pandas import DataFrame
import matplotlib.pyplot as plt
import os
"""
plots the results for each solver and strategy on
the test set as a stacked barchart
Andrew Healy, Aug. 2016
"""
fig = plt.figure(figsize=(10,5))
ax = fig.add_subplot(1,1,1)
df = DataFrame.from_csv('data_for_second_barcha... | 28.232877 | 96 | 0.663755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 508 | 0.246482 |
78b8980c397285a3ee6cf5a9943a92060add2e64 | 727 | py | Python | Procedural Paradigm/exercises/week-7-basic/HitungJarak.py | morenzoe/IF1210_Dasar_Pemrograman | 6bfd5300c18bfb9c6ba80f6108e2206aa9cbf015 | [
"BSD-3-Clause"
] | null | null | null | Procedural Paradigm/exercises/week-7-basic/HitungJarak.py | morenzoe/IF1210_Dasar_Pemrograman | 6bfd5300c18bfb9c6ba80f6108e2206aa9cbf015 | [
"BSD-3-Clause"
] | null | null | null | Procedural Paradigm/exercises/week-7-basic/HitungJarak.py | morenzoe/IF1210_Dasar_Pemrograman | 6bfd5300c18bfb9c6ba80f6108e2206aa9cbf015 | [
"BSD-3-Clause"
] | 1 | 2022-02-21T05:03:26.000Z | 2022-02-21T05:03:26.000Z | # Program HitungJarak
# Menghitung jarak (s) berdasarkan kecepatan (v) dan waktu tempuh (t), yaitu: s = v * t
# KAMUS
# s : float
# v : float
# t : float
# ALGORITMA
v = float(input()) # menerima input kecepatan dalam m/s
t = float (input()) # menerima input waktu dalam s
s = v * t # menghitung jarak dalam m
print... | 21.382353 | 88 | 0.671252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 652 | 0.896836 |
78b92735f679218e246415e9c15eb48e474ed578 | 4,414 | py | Python | os_xml_automation/text_manipulation/_text_manipulation_mapper.py | osfunapps/os-xml-automation-py | 2e339642fcfa11a9b71c231c652e6e3aa3849354 | [
"MIT"
] | 1 | 2020-10-25T10:30:40.000Z | 2020-10-25T10:30:40.000Z | os_xml_automation/text_manipulation/_text_manipulation_mapper.py | osfunapps/os-xml-automation-py | 2e339642fcfa11a9b71c231c652e6e3aa3849354 | [
"MIT"
] | null | null | null | os_xml_automation/text_manipulation/_text_manipulation_mapper.py | osfunapps/os-xml-automation-py | 2e339642fcfa11a9b71c231c652e6e3aa3849354 | [
"MIT"
] | null | null | null | import os_xml_handler.xml_handler as xh
from os_xml_automation import shared_res as shared_res
from os_xml_automation import shared_tools as shared_tools
from os_xml_automation.text_manipulation import _res as res
# manipulate the files by the text mapper
def manipulate(xml_path, xml, place_holder_map):
file_nod... | 55.873418 | 187 | 0.783643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 452 | 0.102401 |
78b964ea1f80a7b69e03614379bba228f287598a | 2,304 | py | Python | src/lib/mine/task/task_manager.py | rdw20170120/workstation | ed19aa930a83885c2a8cb58eb0bb5afe58f95df3 | [
"MIT"
] | null | null | null | src/lib/mine/task/task_manager.py | rdw20170120/workstation | ed19aa930a83885c2a8cb58eb0bb5afe58f95df3 | [
"MIT"
] | 2 | 2021-04-06T18:07:32.000Z | 2021-06-02T01:50:40.000Z | src/lib/mine/task/task_manager.py | rdw20170120/workstation | ed19aa930a83885c2a8cb58eb0bb5afe58f95df3 | [
"MIT"
] | null | null | null | #!/usr/bin/env false
"""Manage tasks."""
# Internal packages (absolute references, distributed with Python)
from logging import getLogger
# External packages (absolute references, NOT distributed with Python)
# Library modules (absolute references, NOT packaged, in project)
from task.exception import Abort
from task... | 31.135135 | 78 | 0.613715 | 1,786 | 0.775174 | 0 | 0 | 120 | 0.052083 | 0 | 0 | 604 | 0.262153 |
78bb9f6fead8743af1a26622df014e1a85ee9267 | 5,002 | py | Python | domonic/CDN.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | 1 | 2022-03-09T03:39:04.000Z | 2022-03-09T03:39:04.000Z | domonic/CDN.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | null | null | null | domonic/CDN.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | null | null | null | """
domonic.CDN
====================================
Refs to some useful .js and .css libs.
use for prototyping. wget anything in later and create your own local references once ur happy
TODO - integrity/cross origin/module?
WARNING/NOTE - dont use. this isn't released or documented. just ide... | 43.877193 | 118 | 0.686325 | 4,591 | 0.917833 | 0 | 0 | 602 | 0.120352 | 0 | 0 | 4,112 | 0.822071 |
78bc6d363f695604891dee0584bdb38942f09a51 | 2,519 | py | Python | robosuite/scripts/Final_Copy/utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | null | null | null | robosuite/scripts/Final_Copy/utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | null | null | null | robosuite/scripts/Final_Copy/utils.py | spatric5/robosuite | 9e6b9691eb949fbf33a23fbe8a8c6faea61c50b6 | [
"MIT"
] | null | null | null | from mpi4py import MPI
import numpy as np
import torch
# sync_networks across the different cores
def sync_networks(network):
"""
netowrk is the network you want to sync
"""
comm = MPI.COMM_WORLD
flat_params, params_shape = _get_flat_params(network)
comm.Bcast(flat_params, root=0)
# set th... | 35.985714 | 91 | 0.692735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 316 | 0.125447 |
78bcb186211d7461ff0a6ae1e7dbc5b9a2291c4d | 873 | py | Python | ovaas/models.py | OVaaS/ovaas2-backend | db51304161760e2b81b9a497634dded59123bc7d | [
"Apache-2.0"
] | null | null | null | ovaas/models.py | OVaaS/ovaas2-backend | db51304161760e2b81b9a497634dded59123bc7d | [
"Apache-2.0"
] | 2 | 2021-11-02T12:43:18.000Z | 2021-11-12T08:31:35.000Z | ovaas/models.py | OVaaS/ovaas2-backend | db51304161760e2b81b9a497634dded59123bc7d | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django.contrib.auth import get_user_model
# Create your models here.
User = get_user_model()
class GUIType(models.TextChoices):
img = "image_upload", "Image Upload"
draw = "draw", "Draw"
class Demo(models.Model):
name_ja = models.CharField(max_length=128)
name_en =... | 31.178571 | 72 | 0.750286 | 736 | 0.84307 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.075601 |
78bd0b2e66f0e85648681b291bc8a89574b81f25 | 187 | py | Python | app/admin.py | alanwu4321/Submission_Platform | daf45a14b97ac7e86d4d3ab63153713fd019f11c | [
"MIT"
] | null | null | null | app/admin.py | alanwu4321/Submission_Platform | daf45a14b97ac7e86d4d3ab63153713fd019f11c | [
"MIT"
] | null | null | null | app/admin.py | alanwu4321/Submission_Platform | daf45a14b97ac7e86d4d3ab63153713fd019f11c | [
"MIT"
] | null | null | null | from django.contrib import admin
from app.models import User,Admin,UserFile
# Register your models here.
admin.site.register(User)
admin.site.register(Admin)
admin.site.register(UserFile) | 31.166667 | 42 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.149733 |
78bd42c19113c497e1993e92b673e02423c0f0b9 | 9,143 | py | Python | src/apd/aggregation/cli.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | null | null | null | src/apd/aggregation/cli.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | 11 | 2020-11-23T21:36:48.000Z | 2022-03-12T00:48:58.000Z | src/apd/aggregation/cli.py | MatthewWilkes/apd.aggregation | 427fa908f45332d623295f92e1ccfdaf545d6997 | [
"BSD-3-Clause"
] | 1 | 2020-08-09T01:47:59.000Z | 2020-08-09T01:47:59.000Z | import asyncio
import functools
import importlib.util
import logging
import signal
import sys
import typing as t
import uuid
import aiohttp
import click
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from . import collect
from .actions.runner import DataProcessor
from .actions.source imp... | 32.30742 | 90 | 0.665099 | 0 | 0 | 0 | 0 | 7,029 | 0.768785 | 1,284 | 0.140435 | 2,728 | 0.29837 |
78be57289fc53eb405e7499adae1ebb913de3e39 | 3,019 | py | Python | tests/cluster_test/kmeans_test.py | alisoltanirad/Reason | 9062dc8e365efa424706a309de5cfb90ab497e9a | [
"MIT"
] | 1 | 2020-12-21T21:26:27.000Z | 2020-12-21T21:26:27.000Z | tests/cluster_test/kmeans_test.py | alisoltanirad/Reason | 9062dc8e365efa424706a309de5cfb90ab497e9a | [
"MIT"
] | 10 | 2020-12-26T18:55:43.000Z | 2021-01-10T09:15:32.000Z | tests/cluster_test/kmeans_test.py | alisoltanirad/reason | 9062dc8e365efa424706a309de5cfb90ab497e9a | [
"MIT"
] | null | null | null | import pytest
import pandas as pd
from reason.cluster import KMeansClusterer
@pytest.fixture
def df():
x = {'feature1': [2, 7], 'feature2': [3, 6]}
df = pd.DataFrame(data=x)
return df
def test_object_creation():
KMeansClusterer()
def test_fit_featureset():
data = [{'feature1': 2, 'feature2': 3}... | 25.584746 | 75 | 0.676714 | 0 | 0 | 0 | 0 | 118 | 0.039086 | 0 | 0 | 189 | 0.062604 |
78c0b5cce43db211f820b2e27ad74c24b5509ab2 | 1,081 | py | Python | core/models/Candidato.py | roimpacta/exemplos | cbfe7c81fc14932697c02eb63bec7d7e4a2c5d5a | [
"Apache-2.0"
] | null | null | null | core/models/Candidato.py | roimpacta/exemplos | cbfe7c81fc14932697c02eb63bec7d7e4a2c5d5a | [
"Apache-2.0"
] | null | null | null | core/models/Candidato.py | roimpacta/exemplos | cbfe7c81fc14932697c02eb63bec7d7e4a2c5d5a | [
"Apache-2.0"
] | null | null | null | from django.db import models
#TODO candidatura
class Candidato(models.Model):
nome = models.CharField(max_length = 120, null=True)
ra = models.CharField(max_length = 80, null=True)
email = models.CharField(max_length = 80, null=True)
celular = models.CharField(max_length = 11, null=True)
codigo_... | 38.607143 | 108 | 0.716004 | 935 | 0.86494 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.147086 |
78c30ded833df096d4b427f36eaa87d10cc3bfa0 | 242 | py | Python | frictionless/checks/__init__.py | kant/frictionless-py | 09cc98e1966d6f97f4eecb47757f45f8a946c5e7 | [
"MIT"
] | null | null | null | frictionless/checks/__init__.py | kant/frictionless-py | 09cc98e1966d6f97f4eecb47757f45f8a946c5e7 | [
"MIT"
] | null | null | null | frictionless/checks/__init__.py | kant/frictionless-py | 09cc98e1966d6f97f4eecb47757f45f8a946c5e7 | [
"MIT"
] | null | null | null | from .baseline import BaselineCheck
from .checksum import ChecksumCheck
from .heuristic import DuplicateRowCheck, DeviatedValueCheck, TruncatedValueCheck
from .regulation import BlacklistedValueCheck, SequentialValueCheck, RowConstraintCheck
| 48.4 | 87 | 0.884298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
78c41a1434c06c1642f44349fdd1eea2106f0e22 | 17,447 | py | Python | backend/integration/tests.py | Tim6FTN/UKS | 3cf19f014cdc7845bf0b808b97c4e05dc49b062e | [
"MIT"
] | 1 | 2021-01-10T12:34:59.000Z | 2021-01-10T12:34:59.000Z | backend/integration/tests.py | Tim6FTN/UKS | 3cf19f014cdc7845bf0b808b97c4e05dc49b062e | [
"MIT"
] | 37 | 2021-01-07T22:31:25.000Z | 2021-02-20T10:59:46.000Z | backend/integration/tests.py | Tim6FTN/UKS | 3cf19f014cdc7845bf0b808b97c4e05dc49b062e | [
"MIT"
] | null | null | null | from unittest.mock import MagicMock, Mock
import six
from django.contrib.auth.models import User
from django.core.exceptions import SuspiciousOperation
from django.test import SimpleTestCase, Client, TransactionTestCase
from django.urls import reverse, resolve
from branch.models import Branch
from integration.views i... | 43.400498 | 118 | 0.638161 | 7,639 | 0.43784 | 0 | 0 | 301 | 0.017252 | 0 | 0 | 7,895 | 0.452513 |
78c4a426cafffab51634f30f2aa6fb1438ab7cd4 | 628 | py | Python | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepHypHitFit_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepHypHitFit_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepHypHitFit_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
#
# produce hitFit hypothesis with all necessary
# ingredients
#
## std sequence to perform kinematic fit
import TopQuarkAnalysis.TopHitFit.TtSemiLepHitFitProducer_Muons_cfi
hitFitTtSemiLepEventHypothesis = TopQuarkAnalysis.TopHitFit.TtSemiLepHitFitProducer_Muons_cfi.hitFitTt... | 29.904762 | 122 | 0.851911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.238854 |
78c52171bb8eb9ca8c41c0f6116afa3c336f5adc | 272 | py | Python | tests/urls.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 39 | 2016-01-04T04:13:27.000Z | 2022-01-18T19:17:24.000Z | tests/urls.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 140 | 2015-11-01T01:19:54.000Z | 2022-03-10T13:00:33.000Z | tests/urls.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 35 | 2016-01-20T12:42:21.000Z | 2022-01-20T07:06:47.000Z | import ajax_select.urls
from django.contrib import admin
from django.urls import include, path
import tracker.urls
urlpatterns = [
path('tracker/', include(tracker.urls)),
path('admin/lookups/', include(ajax_select.urls)),
path('admin/', admin.site.urls),
]
| 22.666667 | 54 | 0.724265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.125 |