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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0dd32e9ca2c7ce0add00ea94a0758f176b038de9 | 27,038 | py | Python | src/summarization/metric/rouge_metric.py | youngerous/kobart-voice-summarization | bf48edea602c0661d638f0ed6f4a35c2ced4009f | [
"Apache-2.0"
] | 8 | 2021-05-16T05:40:29.000Z | 2022-03-14T08:32:54.000Z | src/summarization/metric/rouge_metric.py | youngerous/kobart-voice-summarization | bf48edea602c0661d638f0ed6f4a35c2ced4009f | [
"Apache-2.0"
] | null | null | null | src/summarization/metric/rouge_metric.py | youngerous/kobart-voice-summarization | bf48edea602c0661d638f0ed6f4a35c2ced4009f | [
"Apache-2.0"
] | 3 | 2021-08-09T08:06:24.000Z | 2021-11-29T05:04:56.000Z | """
Ref: https://dacon.io/competitions/official/235673/talkboard/401911?page=1&dtype=recent
"""
import os
import re
import platform
import itertools
import collections
import pkg_resources # pip install py-rouge
from io import open
if platform.system() == "Windows":
try:
from eunjeon import Mecab
exc... | 38.625714 | 97 | 0.492529 |
0dd358ad72eca9a8df86326685bf5bf8a52c322f | 717 | py | Python | algorithm_web/admin/contest.py | KMU-algolab/algorithm | 2b734978da78b936244580ed1febe4f9f6cf1aea | [
"MIT"
] | null | null | null | algorithm_web/admin/contest.py | KMU-algolab/algorithm | 2b734978da78b936244580ed1febe4f9f6cf1aea | [
"MIT"
] | 10 | 2019-03-15T05:12:23.000Z | 2020-05-06T13:05:49.000Z | algorithm_web/admin/contest.py | KMU-algolab/algorithm | 2b734978da78b936244580ed1febe4f9f6cf1aea | [
"MIT"
] | null | null | null | from django.contrib import admin
from .. import models
| 19.378378 | 100 | 0.658298 |
0dd372748b3a10e7f2c3a966dab7085e18c12458 | 3,566 | py | Python | kubernetes_env/cpu_script.py | Kn99HN/tracing_env | 192d41d945aa1a642250ee1415a7a9babe7d2ba5 | [
"Apache-2.0"
] | null | null | null | kubernetes_env/cpu_script.py | Kn99HN/tracing_env | 192d41d945aa1a642250ee1415a7a9babe7d2ba5 | [
"Apache-2.0"
] | null | null | null | kubernetes_env/cpu_script.py | Kn99HN/tracing_env | 192d41d945aa1a642250ee1415a7a9babe7d2ba5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import seaborn as sns
import argparse
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pathlib
import pathlib
import kube_env
import kube_util as util
if __name__ == '__main__':
path = pathlib.Path().absolute(... | 42.963855 | 124 | 0.530006 |
0dd4787568192c17a9f65ae09cd6486c8711bd89 | 4,920 | py | Python | predix/admin/cf/spaces.py | Saifinbox/predix | d4a69da0adbc503fcf5d569e91c8ebb1aeac0605 | [
"BSD-3-Clause"
] | null | null | null | predix/admin/cf/spaces.py | Saifinbox/predix | d4a69da0adbc503fcf5d569e91c8ebb1aeac0605 | [
"BSD-3-Clause"
] | null | null | null | predix/admin/cf/spaces.py | Saifinbox/predix | d4a69da0adbc503fcf5d569e91c8ebb1aeac0605 | [
"BSD-3-Clause"
] | null | null | null |
import logging
import predix.admin.cf.api
import predix.admin.cf.orgs
import predix.admin.cf.apps
import predix.admin.cf.services
| 28.114286 | 76 | 0.57378 |
0dd5ea13d1486dc2358d111b35e9609c1546878c | 953 | py | Python | services/traction/api/endpoints/routes/v1/tenant/admin/issuer.py | bcgov/traction | 90cec4f1aebccd68eb986cb89dfae5819a07a2ee | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/traction/api/endpoints/routes/v1/tenant/admin/issuer.py | bcgov/traction | 90cec4f1aebccd68eb986cb89dfae5819a07a2ee | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/traction/api/endpoints/routes/v1/tenant/admin/issuer.py | bcgov/traction | 90cec4f1aebccd68eb986cb89dfae5819a07a2ee | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | import logging
from fastapi import APIRouter
from starlette import status
from api.endpoints.dependencies.tenant_security import get_from_context
from api.endpoints.models.v1.tenant import TenantGetResponse
from api.services.v1 import tenant_service
router = APIRouter()
logger = logging.getLogger(__name__)
| 26.472222 | 84 | 0.757608 |
0dd723ba9c179cbdcdb30d82337ea92feb517a2e | 1,573 | py | Python | problems/sorting/quick_sort.py | colin-valentini/python-utils | 7bbbf6603c050291ee56df266257a351919f5e04 | [
"MIT"
] | null | null | null | problems/sorting/quick_sort.py | colin-valentini/python-utils | 7bbbf6603c050291ee56df266257a351919f5e04 | [
"MIT"
] | 1 | 2021-02-27T23:35:17.000Z | 2021-02-27T23:38:49.000Z | problems/sorting/quick_sort.py | colin-valentini/python | 7bbbf6603c050291ee56df266257a351919f5e04 | [
"MIT"
] | null | null | null |
def quick_sort(array):
'''
Prototypical quick sort algorithm using Python
Time and Space Complexity:
* Best: O(n * log(n)) time | O(log(n)) space
* Avg: O(n * log(n)) time | O(log(n)) space
* Worst: O(n^2) time | O(log(n)) space
'''
return _quick_sort(array, 0, len(array)-1)
def swap(array, i, ... | 24.578125 | 78 | 0.607756 |
0dd777da72c858ecb1ea267bb078c8de582008a6 | 1,618 | py | Python | learning_files/loops.py | MineJockey/python-basics | bd0370413362c69e55fc81366d8c995875f9308a | [
"MIT"
] | null | null | null | learning_files/loops.py | MineJockey/python-basics | bd0370413362c69e55fc81366d8c995875f9308a | [
"MIT"
] | null | null | null | learning_files/loops.py | MineJockey/python-basics | bd0370413362c69e55fc81366d8c995875f9308a | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
loops()
| 25.68254 | 66 | 0.524722 |
0dd779133e9d6620bb5632b19fd63b4c804181f6 | 52,299 | py | Python | openplaning/openplaning.py | elcf/python-openplaning | 58c5db7b2c42e951138430db883759b6143f4adc | [
"MIT"
] | 1 | 2021-12-17T00:30:40.000Z | 2021-12-17T00:30:40.000Z | openplaning/openplaning.py | AltamiroAJ/python-openplaning | 5dbb7ec83257173673651c098d8406c38f5c3bb8 | [
"MIT"
] | 1 | 2021-09-20T15:12:15.000Z | 2021-09-21T18:02:46.000Z | openplaning/openplaning.py | AltamiroAJ/python-openplaning | 5dbb7ec83257173673651c098d8406c38f5c3bb8 | [
"MIT"
] | 1 | 2021-12-17T00:30:42.000Z | 2021-12-17T00:30:42.000Z | import numpy as np
from scipy import interpolate, signal
from scipy.special import gamma
import ndmath
import warnings
import pkg_resources
| 52.561809 | 312 | 0.569533 |
0dd86d6751b718e9a801f6c2b5674a1aa993cf90 | 959 | py | Python | curve2map.py | jmilou/image_utilities | 92399acf045b4f839afb105b0aa513a27fb31094 | [
"MIT"
] | null | null | null | curve2map.py | jmilou/image_utilities | 92399acf045b4f839afb105b0aa513a27fb31094 | [
"MIT"
] | null | null | null | curve2map.py | jmilou/image_utilities | 92399acf045b4f839afb105b0aa513a27fb31094 | [
"MIT"
] | 1 | 2018-01-08T19:24:32.000Z | 2018-01-08T19:24:32.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 6 09:54:17 2015
@author: jmilli
"""
import numpy as np
from scipy.interpolate import interp1d
def create2dMap(values,inputRadii=None,maxRadius=None):
"""
This function takes a 1D radial distribution in input and builds a 2map
"""
nbValues=len(values)
... | 29.96875 | 76 | 0.61731 |
0dd886d9f601d6eaa6bdabd1f28a900d852bdcec | 543 | py | Python | lv1/hash_marathon.py | mrbartrns/programmers-algorithm | 7ecbb14c25f0cb69bec766fa4bc6b37b8cfadc47 | [
"MIT"
] | null | null | null | lv1/hash_marathon.py | mrbartrns/programmers-algorithm | 7ecbb14c25f0cb69bec766fa4bc6b37b8cfadc47 | [
"MIT"
] | null | null | null | lv1/hash_marathon.py | mrbartrns/programmers-algorithm | 7ecbb14c25f0cb69bec766fa4bc6b37b8cfadc47 | [
"MIT"
] | null | null | null |
part = ['marina', 'josipa', 'nikola', 'vinko', 'filipa']
comp = ['josipa', 'filipa', 'marina', 'nikola']
print(solution(part, comp)) | 30.166667 | 56 | 0.585635 |
0dd8a408a2e9a9ec0eac6d95ae185d9b08ee30c4 | 7,882 | py | Python | chemicals/data_reader.py | daar/chemicals | df3be046055055b99ae762e7a4b852a63134fc82 | [
"MIT"
] | null | null | null | chemicals/data_reader.py | daar/chemicals | df3be046055055b99ae762e7a4b852a63134fc82 | [
"MIT"
] | null | null | null | chemicals/data_reader.py | daar/chemicals | df3be046055055b99ae762e7a4b852a63134fc82 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2020 Caleb Bell <Caleb.Andrew.Bell@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
... | 37.35545 | 94 | 0.657194 |
0dd931b7114a74c84466bdcc4e2ddf5aa167ed20 | 4,604 | py | Python | official/utils/misc/keras_utils.py | baranshad/models | aaf008855e9764f32d974e86f8e1f9cfddfafd9a | [
"Apache-2.0"
] | 180 | 2018-09-20T07:27:40.000Z | 2022-03-19T07:55:42.000Z | official/utils/misc/keras_utils.py | baranshad/models | aaf008855e9764f32d974e86f8e1f9cfddfafd9a | [
"Apache-2.0"
] | 80 | 2018-09-26T18:55:56.000Z | 2022-02-10T02:03:26.000Z | official/utils/misc/keras_utils.py | baranshad/models | aaf008855e9764f32d974e86f8e1f9cfddfafd9a | [
"Apache-2.0"
] | 72 | 2018-08-30T00:49:15.000Z | 2022-02-15T23:22:40.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.145038 | 80 | 0.701347 |
0ddaf186f436077344b9ec71e5a8e4c734247389 | 2,102 | py | Python | saleor/app/management/commands/install_app.py | greentornado/saleor | 7f58917957a23c4dd90b47214a4500c91c735dee | [
"CC-BY-4.0"
] | 3 | 2021-06-22T12:38:18.000Z | 2021-07-11T15:01:57.000Z | saleor/app/management/commands/install_app.py | greentornado/saleor | 7f58917957a23c4dd90b47214a4500c91c735dee | [
"CC-BY-4.0"
] | 111 | 2021-07-19T04:19:30.000Z | 2022-03-28T04:32:37.000Z | saleor/app/management/commands/install_app.py | aminziadna/saleor | 2e78fb5bcf8b83a6278af02551a104cfa555a1fb | [
"CC-BY-4.0"
] | 6 | 2021-11-08T16:43:05.000Z | 2022-03-22T17:31:16.000Z | import json
from typing import Any, Optional
import requests
from django.core.exceptions import ValidationError
from django.core.management import BaseCommand, CommandError
from django.core.management.base import CommandParser
from ....app.validators import AppURLValidator
from ....core import JobStatus
from ...insta... | 33.365079 | 84 | 0.670314 |
0ddb425d77d3e2f51449abccb667b4f56a4ea4c5 | 7,290 | py | Python | google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/sql/operations.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2017-11-29T18:52:27.000Z | 2017-11-29T18:52:27.000Z | google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/sql/operations.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/sql/operations.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | # 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 ag... | 40.276243 | 84 | 0.705898 |
0ddb5907cfb4e23bc38acc79b824cb21a1af696d | 1,171 | py | Python | objectDetection/detect_images.py | pklink/python-opencv | b1bb82f1e3eccc8e5dcba9e5b595e5976435bdbe | [
"Apache-2.0"
] | 1 | 2022-01-19T14:01:09.000Z | 2022-01-19T14:01:09.000Z | objectDetection/detect_images.py | pklink/python-opencv | b1bb82f1e3eccc8e5dcba9e5b595e5976435bdbe | [
"Apache-2.0"
] | 1 | 2019-10-28T08:33:59.000Z | 2019-10-28T08:33:59.000Z | objectDetection/detect_images.py | pklink/python-opencv | b1bb82f1e3eccc8e5dcba9e5b595e5976435bdbe | [
"Apache-2.0"
] | 1 | 2019-10-28T08:26:38.000Z | 2019-10-28T08:26:38.000Z | import argparse
import glob
import os, shutil
import cv2
from YoloObjectDetector import YoloObjectDetector
parser = argparse.ArgumentParser(description="Detect Objects in all images in the given folder.")
parser.add_argument("-s", "--size", dest="size", default="320", type=str, help="Spatial Size (tiny, 320, 416, 60... | 30.815789 | 130 | 0.693424 |
0ddc0bef32477eced0900bb0111e6a1dbf4f7271 | 186 | py | Python | countries/api/urls.py | isidaruk/eurovision_project | 976743e66a2fed17c0513f17a9a7d35850e9cde5 | [
"MIT"
] | null | null | null | countries/api/urls.py | isidaruk/eurovision_project | 976743e66a2fed17c0513f17a9a7d35850e9cde5 | [
"MIT"
] | 8 | 2020-02-12T00:23:27.000Z | 2022-03-08T21:10:13.000Z | countries/api/urls.py | isidaruk/eurovision_project | 976743e66a2fed17c0513f17a9a7d35850e9cde5 | [
"MIT"
] | null | null | null | from rest_framework.routers import DefaultRouter
from countries.api.views import CountryViewSet
router = DefaultRouter()
router.register('', CountryViewSet)
urlpatterns = router.urls
| 20.666667 | 48 | 0.822581 |
0ddf3f1c726adc70203174632e31094c4c2d0306 | 232 | py | Python | square/main.py | vishwamshuklaRazorpay/vishwam_test | b0925429385005dac37d92938b7daf6245d636c8 | [
"MIT"
] | null | null | null | square/main.py | vishwamshuklaRazorpay/vishwam_test | b0925429385005dac37d92938b7daf6245d636c8 | [
"MIT"
] | null | null | null | square/main.py | vishwamshuklaRazorpay/vishwam_test | b0925429385005dac37d92938b7daf6245d636c8 | [
"MIT"
] | null | null | null |
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
main()
| 25.777778 | 74 | 0.659483 |
0ddfe1e0014be1bb17e25a898cf24f24861860f8 | 1,869 | py | Python | src/GoTurnRemix.py | aakaashjois/Plant-Tracer | d56c8021665f419e08dddb1ac88d3a719b2c787a | [
"Apache-2.0"
] | null | null | null | src/GoTurnRemix.py | aakaashjois/Plant-Tracer | d56c8021665f419e08dddb1ac88d3a719b2c787a | [
"Apache-2.0"
] | 1 | 2022-02-05T09:35:32.000Z | 2022-02-05T09:35:32.000Z | src/GoTurnRemix.py | aakaashjois/Plant-Tracer | d56c8021665f419e08dddb1ac88d3a719b2c787a | [
"Apache-2.0"
] | 2 | 2019-07-28T11:10:31.000Z | 2021-05-19T02:27:39.000Z | import torch
from torchvision import models
from torch import nn
| 40.630435 | 114 | 0.612627 |
0de4d985008ec5f2946451370dc2a3228dbe91c7 | 609 | py | Python | python/examples/provenance/index_svc/buildrandom.py | xkortex/medifor | 2e715256ab170208255c935d1ae8e844ade27574 | [
"Apache-2.0"
] | 9 | 2019-09-16T20:37:37.000Z | 2021-07-26T05:04:36.000Z | python/examples/provenance/index_svc/buildrandom.py | xkortex/medifor | 2e715256ab170208255c935d1ae8e844ade27574 | [
"Apache-2.0"
] | 19 | 2019-10-28T22:18:56.000Z | 2022-03-12T00:08:34.000Z | python/examples/provenance/index_svc/buildrandom.py | xkortex/medifor-lite | 4567e16f59930417506e784e94f3fedb4afcc0c3 | [
"Apache-2.0"
] | 11 | 2019-08-02T18:56:43.000Z | 2021-04-05T20:32:55.000Z | #!/usr/bin/env python3
import faiss
import numpy as np
if __name__ == '__main__':
import argparse
a = argparse.ArgumentParser()
a.add_argument('outfile', type=str, help='output file')
args = a.parse_args()
main(args.outfile)
| 18.454545 | 59 | 0.627258 |
0de5d6a47d80b154cdbdae53819a355507f08a2e | 800 | py | Python | class3/exercises/exercise1.py | twin-bridges/netmiko_course | 31943e4f6f66dbfe523d62d5a2f03285802a8c56 | [
"Apache-2.0"
] | 11 | 2020-09-16T06:53:16.000Z | 2021-08-24T21:27:37.000Z | class3/exercises/exercise1.py | twin-bridges/netmiko_course | 31943e4f6f66dbfe523d62d5a2f03285802a8c56 | [
"Apache-2.0"
] | null | null | null | class3/exercises/exercise1.py | twin-bridges/netmiko_course | 31943e4f6f66dbfe523d62d5a2f03285802a8c56 | [
"Apache-2.0"
] | 5 | 2020-10-18T20:25:59.000Z | 2021-10-20T16:27:00.000Z | import os
from getpass import getpass
from pprint import pprint
from netmiko import ConnectHandler
# Code so automated tests will run properly
password = os.getenv("NETMIKO_PASSWORD") if os.getenv("NETMIKO_PASSWORD") else getpass()
arista1 = {
"device_type": "arista_eos",
"host": "arista1.lasthop.io",
"us... | 25.806452 | 88 | 0.6425 |
0de6a3bbc2e8361502ee097dee7d73b1ea8c48de | 2,891 | py | Python | invenio_records_rest/loaders/marshmallow.py | Glignos/invenio-records-rest | 4020d9e8c8e21e7c760fa14f9c634636ef6fda38 | [
"MIT"
] | null | null | null | invenio_records_rest/loaders/marshmallow.py | Glignos/invenio-records-rest | 4020d9e8c8e21e7c760fa14f9c634636ef6fda38 | [
"MIT"
] | null | null | null | invenio_records_rest/loaders/marshmallow.py | Glignos/invenio-records-rest | 4020d9e8c8e21e7c760fa14f9c634636ef6fda38 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2016-2018 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Marshmallow loader for record deserialization.
Use marshmallow schema to transfor... | 27.798077 | 77 | 0.64303 |
0de9893144b5910f320fefedfcebe7eebec65b42 | 475 | py | Python | app/controllers/user.py | souravlahoti/GithubAction | 6cda8f4ab022f78df7539b32571c1406f8943ad5 | [
"MIT"
] | null | null | null | app/controllers/user.py | souravlahoti/GithubAction | 6cda8f4ab022f78df7539b32571c1406f8943ad5 | [
"MIT"
] | null | null | null | app/controllers/user.py | souravlahoti/GithubAction | 6cda8f4ab022f78df7539b32571c1406f8943ad5 | [
"MIT"
] | null | null | null | from flask import jsonify
from flask_restful import Resource
| 16.964286 | 70 | 0.572632 |
0dea7700259f79cf79e451f3837519f4601762ad | 2,079 | py | Python | src/data_augmentation.py | AnweshCR7/autonomous_greenhouse | a29cfe37d0152001d2544216ed65c3472f572b4e | [
"MIT"
] | 1 | 2021-08-09T14:59:16.000Z | 2021-08-09T14:59:16.000Z | src/data_augmentation.py | AnweshCR7/autonomous_greenhouse | a29cfe37d0152001d2544216ed65c3472f572b4e | [
"MIT"
] | null | null | null | src/data_augmentation.py | AnweshCR7/autonomous_greenhouse | a29cfe37d0152001d2544216ed65c3472f572b4e | [
"MIT"
] | null | null | null | import os
import cv2
import glob
import random
import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
dataset_dir = "../data/FirstTrainingData_AUG"
augmentations = ["horizontal_flip"]
# expect to increase the dataset 4x
augment(dataset_dir, augmentations, save_copy=False) | 30.573529 | 82 | 0.622896 |
0deb0c0b3259efb2f490fa173e3f279fb4d413e1 | 703 | py | Python | hashmap-left-join/hashmap_left_join/left_join.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | null | null | null | hashmap-left-join/hashmap_left_join/left_join.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | null | null | null | hashmap-left-join/hashmap_left_join/left_join.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | 1 | 2021-06-26T09:19:43.000Z | 2021-06-26T09:19:43.000Z | import os
if __name__ == "__main__":
hash = {
'fond':'enamored',
'wrath':'anger',
'diligent':'employed',
'outfit':'garb',
'guide':'usher'
}
hash1 = {
'fond':'averse',
'wrath':'delight',
'diligent':'idle',
'guide':'follow'... | 17.146341 | 61 | 0.439545 |
0deb37fe04b5be7b019c80d0f79badcb0721fecc | 2,583 | py | Python | datable/web/columns.py | ofirr/dojango-datable | c4d27c23d66c023062270a31f05e21d0982e0b43 | [
"MIT"
] | null | null | null | datable/web/columns.py | ofirr/dojango-datable | c4d27c23d66c023062270a31f05e21d0982e0b43 | [
"MIT"
] | null | null | null | datable/web/columns.py | ofirr/dojango-datable | c4d27c23d66c023062270a31f05e21d0982e0b43 | [
"MIT"
] | null | null | null | # /usr/bin/env python
# -*- encoding: utf-8 -*-
from django.utils.text import capfirst
from django.utils.translation import ugettext as _
from datable.core.serializers import BooleanSerializer
from datable.core.serializers import DateSerializer
from datable.core.serializers import DateTimeSerializer
from datable.core... | 23.697248 | 70 | 0.663957 |
0deb6190172a042c803576352b9c214cd3809bff | 1,233 | py | Python | maskrcnn_benchmark/modeling/roi_heads/car_cls_rot_head/roi_car_cls_rot_predictor.py | witwitchayakarn/6DVNET | f13b35162ad90fa49d777f3a41383e9d34eb4820 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/modeling/roi_heads/car_cls_rot_head/roi_car_cls_rot_predictor.py | witwitchayakarn/6DVNET | f13b35162ad90fa49d777f3a41383e9d34eb4820 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/modeling/roi_heads/car_cls_rot_head/roi_car_cls_rot_predictor.py | witwitchayakarn/6DVNET | f13b35162ad90fa49d777f3a41383e9d34eb4820 | [
"MIT"
] | null | null | null | from torch import nn
import torch.nn.functional as F
_ROI_CAR_CLS_ROT_PREDICTOR = {"FPNPredictor": FPNPredictor}
| 32.447368 | 79 | 0.696675 |
0decb58388efdb35753edb1a250f99a3c2fcefa4 | 771 | py | Python | coderdojochi/migrations/0021_auto_20180815_1757.py | rgroves/weallcode-website | ead60d3272dbbfe610b2d500978d1de44aef6386 | [
"MIT"
] | 15 | 2019-05-04T00:24:00.000Z | 2021-08-21T16:34:05.000Z | coderdojochi/migrations/0021_auto_20180815_1757.py | rgroves/weallcode-website | ead60d3272dbbfe610b2d500978d1de44aef6386 | [
"MIT"
] | 73 | 2019-04-24T15:53:42.000Z | 2021-08-06T20:41:41.000Z | coderdojochi/migrations/0021_auto_20180815_1757.py | rgroves/weallcode-website | ead60d3272dbbfe610b2d500978d1de44aef6386 | [
"MIT"
] | 20 | 2019-04-26T20:13:08.000Z | 2021-06-21T14:53:21.000Z | # Generated by Django 2.0.6 on 2018-08-15 22:57
from django.db import migrations, models
| 26.586207 | 74 | 0.581064 |
0def13794ee3ca070ffd095ffc65ba6c515362be | 350 | py | Python | archives/build_wget.py | onai/code-ecosystem-analyzer | 964d1ef5ec4d8f774c52aa2718663bb455d62ecb | [
"Apache-2.0"
] | null | null | null | archives/build_wget.py | onai/code-ecosystem-analyzer | 964d1ef5ec4d8f774c52aa2718663bb455d62ecb | [
"Apache-2.0"
] | null | null | null | archives/build_wget.py | onai/code-ecosystem-analyzer | 964d1ef5ec4d8f774c52aa2718663bb455d62ecb | [
"Apache-2.0"
] | null | null | null | import sys
with open(sys.argv[1]) as handle:
for new_line in handle:
dest = new_line.split('/')[4] + '_' + new_line.split('/')[5] + '.zip'
#print('curl -Ls -I -o /dev/null -w \'%{url_effective}\\n\' ' + new_line.strip())
print('curl -L --user ' + sys.argv[2] + ':' + sys.argv[3] + ' ' + new_... | 43.75 | 107 | 0.525714 |
0df3e3502236c625d081f0f74dbbd4aea76a92c9 | 630 | py | Python | authors/apps/followers/models.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/followers/models.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 20 | 2018-11-26T16:22:46.000Z | 2018-12-21T10:08:25.000Z | authors/apps/followers/models.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 3 | 2019-01-24T15:39:42.000Z | 2019-09-25T17:57:08.000Z | from django.db import models
from ..authentication.models import User
| 30 | 89 | 0.696825 |
0df56e29aeb7cee2f088a3c93b1f67587665424d | 477 | py | Python | dbt/adapters/doris/__init__.py | qiulin/dbt-doris | 4786532ed288b32a729675a4dd01b6e4da993c60 | [
"Apache-2.0"
] | 2 | 2022-02-06T02:15:33.000Z | 2022-02-22T03:58:53.000Z | dbt/adapters/doris/__init__.py | qiulin/dbt-doris | 4786532ed288b32a729675a4dd01b6e4da993c60 | [
"Apache-2.0"
] | null | null | null | dbt/adapters/doris/__init__.py | qiulin/dbt-doris | 4786532ed288b32a729675a4dd01b6e4da993c60 | [
"Apache-2.0"
] | null | null | null | from dbt.adapters.doris.connections import DorisConnectionManager
from dbt.adapters.doris.connections import DorisCredentials
from dbt.adapters.doris.relation import DorisRelation
from dbt.adapters.doris.column import DorisColumn
from dbt.adapters.doris.impl import DorisAdapter
from dbt.adapters.base import AdapterPlu... | 31.8 | 65 | 0.840671 |
0df7ced38cda902e631d021c1255e468e0aeb410 | 750 | py | Python | revelation/core/urls.py | Federico-Comesana/revelatte | ccd50831dcdec8bc4a7e83b062d0309f6e4feee2 | [
"MIT"
] | null | null | null | revelation/core/urls.py | Federico-Comesana/revelatte | ccd50831dcdec8bc4a7e83b062d0309f6e4feee2 | [
"MIT"
] | null | null | null | revelation/core/urls.py | Federico-Comesana/revelatte | ccd50831dcdec8bc4a7e83b062d0309f6e4feee2 | [
"MIT"
] | null | null | null | from django.contrib.auth.decorators import login_required
from django.conf.urls import url
import views
urlpatterns = [
url(r'public/$',
views.RevelationModelListView.as_view(),
name='revelation-list'),
url(r'u/(?P<pk>\d+)/$',
views.UserProfileView.as_view(),
name='user-view')... | 24.193548 | 66 | 0.617333 |
0df83b2e848cfa6dd57435a1970875947775c426 | 6,395 | py | Python | pycarddav/controllers.py | mathstuf/pycarddav | 8bfdbef79c11ed9b14304773d26b1542d16ef2b2 | [
"MIT"
] | null | null | null | pycarddav/controllers.py | mathstuf/pycarddav | 8bfdbef79c11ed9b14304773d26b1542d16ef2b2 | [
"MIT"
] | null | null | null | pycarddav/controllers.py | mathstuf/pycarddav | 8bfdbef79c11ed9b14304773d26b1542d16ef2b2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# vim: set ts=4 sw=4 expandtab sts=4:
# Copyright (c) 2011-2013 Christian Geier & contributors
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without ... | 36.542857 | 83 | 0.640813 |
0dfaaf84879c7de397b353788d87c5237fcb9080 | 2,483 | py | Python | _test_request.py | arshadkazmi42/crul | 7b0b7674afaf4d8c75d961612f6813e97a7d7008 | [
"MIT"
] | 6 | 2021-05-18T13:47:55.000Z | 2021-12-16T18:18:41.000Z | _test_request.py | arshadkazmi42/crul | 7b0b7674afaf4d8c75d961612f6813e97a7d7008 | [
"MIT"
] | null | null | null | _test_request.py | arshadkazmi42/crul | 7b0b7674afaf4d8c75d961612f6813e97a7d7008 | [
"MIT"
] | 2 | 2022-01-05T04:56:46.000Z | 2022-01-12T05:10:57.000Z | import unittest
from unittest.mock import Mock, patch
from request import Request
RESPONSE = {
"status": "success",
"message": "Processed"
}
mock_response = Response()
if __name__ == '__main__':
unittest.main() | 26.136842 | 102 | 0.662908 |
216e58dc7513012f69f864fede95e2d9e5c499dc | 470 | py | Python | kirbytoolkit/tests/test_jackknife.py | matthewkirby/kirby_toolkit | 37968dfd05d628694f3c52a23a15641aa8eee5ff | [
"MIT"
] | null | null | null | kirbytoolkit/tests/test_jackknife.py | matthewkirby/kirby_toolkit | 37968dfd05d628694f3c52a23a15641aa8eee5ff | [
"MIT"
] | null | null | null | kirbytoolkit/tests/test_jackknife.py | matthewkirby/kirby_toolkit | 37968dfd05d628694f3c52a23a15641aa8eee5ff | [
"MIT"
] | null | null | null | import numpy as np
import kirbytoolkit as ktk
| 27.647059 | 69 | 0.717021 |
216ebd24f2457cf9469911c06b29cd3b21471003 | 530 | py | Python | demo-001.py | zhouyuanmin/MyCode | dbc7df8dc5eba419340ef9aafed75af24f883381 | [
"MIT"
] | 1 | 2021-01-22T03:15:29.000Z | 2021-01-22T03:15:29.000Z | demo-001.py | zhouyuanmin/MyCode | dbc7df8dc5eba419340ef9aafed75af24f883381 | [
"MIT"
] | null | null | null | demo-001.py | zhouyuanmin/MyCode | dbc7df8dc5eba419340ef9aafed75af24f883381 | [
"MIT"
] | null | null | null | """
"""
import functools
if __name__ == '__main__':
for i in range(20):
demo(i, i ** 2)
| 17.096774 | 62 | 0.558491 |
216ee6cd0a2a320e0ac816601363649bae571b45 | 1,691 | py | Python | test/tests/set.py | jvkersch/pyston | 2c7e7a5e0ed7a0a8b4528919f855fa8336b43902 | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | test/tests/set.py | jvkersch/pyston | 2c7e7a5e0ed7a0a8b4528919f855fa8336b43902 | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | test/tests/set.py | jvkersch/pyston | 2c7e7a5e0ed7a0a8b4528919f855fa8336b43902 | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | s1 = {1}
s1 = set() | set(range(3))
print sorted(s1)
s2 = set(range(1, 5))
print sorted(s2)
print repr(sorted(s1)), str(sorted(s1))
print sorted(s1 - s2)
print sorted(s2 - s1)
print sorted(s1 ^ s2)
print sorted(s1 & s2)
print sorted(s1 | s2)
print len(set(range(5)))
s = set(range(5))
print sorted(s)
s.add(3)
print... | 15.234234 | 78 | 0.608516 |
216f4275a182a3efa14efecfb81fc95c79e95c84 | 2,720 | py | Python | scripts/gen_train_test.py | wesleylp/CPE775 | 3df3c053e9d6da83035c8f2620c3951f7ff94975 | [
"MIT"
] | 13 | 2017-11-23T12:23:50.000Z | 2020-12-27T10:36:08.000Z | scripts/gen_train_test.py | wesleylp/CPE775 | 3df3c053e9d6da83035c8f2620c3951f7ff94975 | [
"MIT"
] | 1 | 2018-04-19T02:16:34.000Z | 2018-04-19T13:37:23.000Z | scripts/gen_train_test.py | wesleylp/CPE775 | 3df3c053e9d6da83035c8f2620c3951f7ff94975 | [
"MIT"
] | 3 | 2018-11-15T00:01:09.000Z | 2021-05-11T06:27:46.000Z | import os
import argparse
import glob
import pandas as pd
from cpe775 import utils
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('data_dir', metavar='DIR')
parser.add_argument('--out-dir', metavar='DIR')
args = parser.parse_args()
# Output to the data dir fil... | 44.590164 | 119 | 0.715074 |
21704be6a53209ee30b09ce10c3956a6c5b8c8ba | 1,395 | py | Python | plot.py | corollari/gradient-descent | 089905ab0f4de2c360cfef4fa4957e9c181f27c3 | [
"Unlicense"
] | 1 | 2019-03-06T19:43:25.000Z | 2019-03-06T19:43:25.000Z | plot.py | corollari/gradient-descent | 089905ab0f4de2c360cfef4fa4957e9c181f27c3 | [
"Unlicense"
] | null | null | null | plot.py | corollari/gradient-descent | 089905ab0f4de2c360cfef4fa4957e9c181f27c3 | [
"Unlicense"
] | null | null | null | import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import random
from sympy import symbols, diff, N
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = fun... | 31.704545 | 122 | 0.5319 |
2170971213155f1239bf003e5ae24a6a445bc252 | 639 | py | Python | src/app.py | reinzor/selfieboot2016 | 967a5cb429ae98293e2f0e8d99da2c8edf4e72c0 | [
"MIT"
] | null | null | null | src/app.py | reinzor/selfieboot2016 | 967a5cb429ae98293e2f0e8d99da2c8edf4e72c0 | [
"MIT"
] | null | null | null | src/app.py | reinzor/selfieboot2016 | 967a5cb429ae98293e2f0e8d99da2c8edf4e72c0 | [
"MIT"
] | null | null | null | '''
Selfiebooth Baas van Horst aan de Maas 2016 - CameraPuzzle
===========================
This demonstrates using Scatter widgets with a live camera.
You should see a shuffled grid of rectangles that make up the
camera feed. You can drag the squares around to see the
unscrambled camera feed or double click to scrambl... | 23.666667 | 61 | 0.697966 |
217147b682f00559525d500ab3019c807cac7a67 | 521 | py | Python | deploy/test.py | zhxiaohe/starwars_api | f1b729e819eb19e5eb59630bed56b13127eb1ef2 | [
"MIT"
] | null | null | null | deploy/test.py | zhxiaohe/starwars_api | f1b729e819eb19e5eb59630bed56b13127eb1ef2 | [
"MIT"
] | null | null | null | deploy/test.py | zhxiaohe/starwars_api | f1b729e819eb19e5eb59630bed56b13127eb1ef2 | [
"MIT"
] | null | null | null | #coding=utf-8
import requests,json
headers = {'X-Rundeck-Auth-Token': '2EcW3xe0urFLrilqUOGCVYLXSbdByk2e','Accept': 'application/json'}
headers['Content-type']='application/json'
rundeck_host= 'http://10.1.16.26:4440'
url = rundeck_host+'/api/16/project/fengyang/run/command'
data={
'project':'fengyang',
'exec... | 23.681818 | 99 | 0.712092 |
21716b55e61aaab71c09221c686d96dab513e84d | 2,984 | py | Python | app/models/payments.py | StartFuture/workstation-backend | 3b88946a3a7e2c9449de938d008a665fc4a17d34 | [
"MIT"
] | 1 | 2022-03-20T23:55:34.000Z | 2022-03-20T23:55:34.000Z | app/models/payments.py | StartFuture/workstation-backend | 3b88946a3a7e2c9449de938d008a665fc4a17d34 | [
"MIT"
] | 1 | 2022-03-10T19:26:53.000Z | 2022-03-10T19:26:53.000Z | app/models/payments.py | StartFuture/workstation-backend | 3b88946a3a7e2c9449de938d008a665fc4a17d34 | [
"MIT"
] | 1 | 2022-03-08T21:40:51.000Z | 2022-03-08T21:40:51.000Z | import re
from flask_restful import Resource, reqparse
acceptedCreditCards = {
"visa": r"/^4[0-9]{12}(?:[0-9]{3})?$/",
"mastercard": r"/^5[1-5][0-9]{14}$|^2(?:2(?:2[1-9]|[3-9][0-9])|[3-6][0-9][0-9]|7(?:[01][0-9]|20))[0-9]{12}$/",
"amex": r"/^3[47][0-9]{13}$/",
"discover": r"/^65[4-9][0-9]{13}|64[4-9][0-9]{13}|... | 30.762887 | 142 | 0.467493 |
21731e6d861a39649ea198c473c43e6a73b5f540 | 2,916 | py | Python | jmeter_api/configs/http_cache_manager/test_http_cache_manager.py | dashawn888/jmeter_api | 1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd | [
"Apache-2.0"
] | 11 | 2020-03-22T13:30:21.000Z | 2021-12-25T06:23:44.000Z | jmeter_api/configs/http_cache_manager/test_http_cache_manager.py | dashawn888/jmeter_api | 1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd | [
"Apache-2.0"
] | 37 | 2019-12-18T13:12:50.000Z | 2022-02-10T10:52:37.000Z | jmeter_api/configs/http_cache_manager/test_http_cache_manager.py | dashawn888/jmeter_api | 1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd | [
"Apache-2.0"
] | 5 | 2019-12-06T10:55:56.000Z | 2020-06-01T19:32:32.000Z | import xmltodict
import pytest
from jmeter_api.configs.http_cache_manager.elements import HTTPCacheManager
from jmeter_api.basics.utils import tag_wrapper
| 39.405405 | 86 | 0.645405 |
21749d76cf64e34fef78fa86bc1d6551d9be27aa | 1,533 | py | Python | main/configuration/token_config.py | anderswodenker/sams-app | d9ab3474a5b1f009afe803d14484c000059b61c3 | [
"MIT"
] | null | null | null | main/configuration/token_config.py | anderswodenker/sams-app | d9ab3474a5b1f009afe803d14484c000059b61c3 | [
"MIT"
] | 1 | 2020-12-10T14:40:57.000Z | 2020-12-10T14:40:57.000Z | main/configuration/token_config.py | anderswodenker/sams-app | d9ab3474a5b1f009afe803d14484c000059b61c3 | [
"MIT"
] | null | null | null | import configparser
import mapping
from main.helper.time_helper import get_token_time
| 32.617021 | 83 | 0.637965 |
21758ae5b904cd586ad12411253dc0f4bd9495ef | 350 | py | Python | tests/data/dos.py | granrothge/multiphonon | 486a998eeb6b73b964a58ba0f98fe3ece15bdf6e | [
"MIT"
] | 1 | 2019-05-22T08:46:09.000Z | 2019-05-22T08:46:09.000Z | tests/data/dos.py | granrothge/multiphonon | 486a998eeb6b73b964a58ba0f98fe3ece15bdf6e | [
"MIT"
] | 118 | 2016-04-04T12:27:15.000Z | 2021-08-18T01:46:13.000Z | tests/data/dos.py | granrothge/multiphonon | 486a998eeb6b73b964a58ba0f98fe3ece15bdf6e | [
"MIT"
] | 5 | 2017-09-28T16:01:12.000Z | 2020-01-31T18:58:09.000Z | #!/usr/bin/env python
#
# Jiao Lin <jiao.lin@gmail.com>
import os
datadir = os.path.abspath(os.path.dirname(__file__))
# End of file
| 19.444444 | 52 | 0.66 |
217837f8dc006967d37900044e0628322b10a71d | 5,832 | py | Python | weather/Weather.py | Eajay/chatting-bot-with-tasks | d02299cb9d84da719eec4950a69484058adc791a | [
"MIT"
] | null | null | null | weather/Weather.py | Eajay/chatting-bot-with-tasks | d02299cb9d84da719eec4950a69484058adc791a | [
"MIT"
] | null | null | null | weather/Weather.py | Eajay/chatting-bot-with-tasks | d02299cb9d84da719eec4950a69484058adc791a | [
"MIT"
] | null | null | null | from scrapy.crawler import CrawlerProcess
from scrapy.utils.project import get_project_settings
import re
import pymysql
import geocoder
import datetime
import os
# host = 'localhost'
# user = 'root'
# passwd = '123456'
# db = 'mydb'
# port = 3306
# w = Weather(host=host, user=user, passwd=passwd, db=... | 38.368421 | 479 | 0.573217 |
21784a3d87f08299948e420bf102a93e46449e8b | 7,578 | py | Python | tests/test_networks/test_brokers/test_publishers/test_producers.py | Clariteia/minos_microservice_networks | 77f239429653272c5cb3447311513143f8521ed9 | [
"MIT"
] | 7 | 2021-04-12T15:40:11.000Z | 2022-03-04T13:46:01.000Z | tests/test_networks/test_brokers/test_publishers/test_producers.py | Clariteia/minos_microservice_networks | 77f239429653272c5cb3447311513143f8521ed9 | [
"MIT"
] | 275 | 2021-04-03T09:23:40.000Z | 2022-01-28T11:56:25.000Z | tests/test_networks/test_brokers/test_publishers/test_producers.py | Clariteia/minos_microservice_networks | 77f239429653272c5cb3447311513143f8521ed9 | [
"MIT"
] | null | null | null | import asyncio
import unittest
from asyncio import (
gather,
sleep,
)
from unittest.mock import (
AsyncMock,
call,
)
from uuid import (
uuid4,
)
import aiopg
from minos.common import (
NotProvidedException,
)
from minos.common.testing import (
PostgresAsyncTestCase,
)
from minos.networks i... | 35.246512 | 114 | 0.662048 |
217c49f0f1aaaa2893f92203a3e95b9ea7c76395 | 4,489 | py | Python | text_collector/spiders/sumut_go.py | gusman/web-crawler | d7a41cab2ce82d0e6b0daf5db05944381f0a4bbd | [
"MIT"
] | null | null | null | text_collector/spiders/sumut_go.py | gusman/web-crawler | d7a41cab2ce82d0e6b0daf5db05944381f0a4bbd | [
"MIT"
] | null | null | null | text_collector/spiders/sumut_go.py | gusman/web-crawler | d7a41cab2ce82d0e6b0daf5db05944381f0a4bbd | [
"MIT"
] | null | null | null | import scrapy
import datetime
import re
from datetime import timedelta
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
| 45.343434 | 155 | 0.58699 |
217d30de43b0686c9b6a097430ce64fd2cb78174 | 130 | py | Python | test/conftest.py | eliasbrange/aws-cdk-template | 7ba7bc921bdd9c0064a6a661a2f47ee767ed70cc | [
"MIT"
] | 2 | 2022-01-03T11:11:32.000Z | 2022-03-11T16:34:51.000Z | test/conftest.py | eliasbrange/aws-cdk-template | 7ba7bc921bdd9c0064a6a661a2f47ee767ed70cc | [
"MIT"
] | null | null | null | test/conftest.py | eliasbrange/aws-cdk-template | 7ba7bc921bdd9c0064a6a661a2f47ee767ed70cc | [
"MIT"
] | 1 | 2022-03-25T20:35:16.000Z | 2022-03-25T20:35:16.000Z | import os.path as op
import sys
path = op.abspath(op.join(op.dirname(op.realpath(__file__)), "..", "src"))
sys.path.append(path)
| 21.666667 | 74 | 0.7 |
217d4e0e9bc044b34a21ee15c3e1def8c727534c | 3,599 | py | Python | addons/stock_landed_costs/models/account_move.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/stock_landed_costs/models/account_move.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/stock_landed_costs/models/account_move.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models
| 47.355263 | 130 | 0.674632 |
217ddb7ab709173147528cb6c585bd4df64516a7 | 4,025 | py | Python | examples/highcharts/pie-donut.py | Jbrunn/python-highcharts | a4c488ae5c2e125616efad5a722f3dfd8a9bc450 | [
"MIT"
] | 370 | 2015-10-07T20:13:10.000Z | 2022-03-31T03:43:17.000Z | examples/highcharts/pie-donut.py | Jbrunn/python-highcharts | a4c488ae5c2e125616efad5a722f3dfd8a9bc450 | [
"MIT"
] | 67 | 2016-03-14T12:18:44.000Z | 2022-02-24T09:24:31.000Z | examples/highcharts/pie-donut.py | Jbrunn/python-highcharts | a4c488ae5c2e125616efad5a722f3dfd8a9bc450 | [
"MIT"
] | 159 | 2016-02-25T15:07:52.000Z | 2022-03-12T13:04:14.000Z | # -*- coding: utf-8 -*-
"""
Highcharts Demos
Donut chart: http://www.highcharts.com/demo/pie-donut
"""
from highcharts import Highchart
H = Highchart(width = 850, height = 400)
data = [{
'y': 55.11,
'color': 'Highcharts.getOptions().colors[0]',
'drilldown': {
'name'... | 32.459677 | 115 | 0.429814 |
217fa2fb2460ab023c2ba02ea8a4fbc0c4e79eb1 | 961 | py | Python | computer_firm.py | GYosifov88/Python-Basics | f4290061264aebc417bde4948948e4a64739fec9 | [
"MIT"
] | null | null | null | computer_firm.py | GYosifov88/Python-Basics | f4290061264aebc417bde4948948e4a64739fec9 | [
"MIT"
] | null | null | null | computer_firm.py | GYosifov88/Python-Basics | f4290061264aebc417bde4948948e4a64739fec9 | [
"MIT"
] | null | null | null | number_of_computers = int(input())
number_of_sales = 0
real_sales = 0
made_sales = 0
counter_sales = 0
total_ratings = 0
for i in range (number_of_computers):
rating = int(input())
rating_scale = rating % 10
possible_sales = rating // 10
total_ratings += rating_scale
if rating_scale == 2:
r... | 25.289474 | 52 | 0.661811 |
21803ff77639fb917a3ee0c55d6b108129313c9e | 902 | py | Python | cogs/messages.py | abdieg/cirila-bot-discord | e6956213cf42762b0260bd71dab47f3217c21560 | [
"MIT"
] | null | null | null | cogs/messages.py | abdieg/cirila-bot-discord | e6956213cf42762b0260bd71dab47f3217c21560 | [
"MIT"
] | null | null | null | cogs/messages.py | abdieg/cirila-bot-discord | e6956213cf42762b0260bd71dab47f3217c21560 | [
"MIT"
] | null | null | null | import discord
import os
import asyncio
from discord.ext import commands
from random import randint
from cogs.libs import Settings
from cogs.libs import Utils | 29.096774 | 59 | 0.645233 |
218267a67d6b77155bce24d14dba6bc7cf42c90c | 315 | py | Python | features/best_move.py | raaahuuulll/chess-concepts | 92fbed433c1270f8235f454bb4f5416e577bf8a6 | [
"Apache-2.0"
] | null | null | null | features/best_move.py | raaahuuulll/chess-concepts | 92fbed433c1270f8235f454bb4f5416e577bf8a6 | [
"Apache-2.0"
] | null | null | null | features/best_move.py | raaahuuulll/chess-concepts | 92fbed433c1270f8235f454bb4f5416e577bf8a6 | [
"Apache-2.0"
] | null | null | null | from features.move import Move
| 24.230769 | 66 | 0.698413 |
218374c68202eece0493e23ec9145bf2c5224fa4 | 728 | py | Python | util.py | logonod/demoss | c792f6471fc4a30297688db90d221d31d447633a | [
"BSD-2-Clause"
] | null | null | null | util.py | logonod/demoss | c792f6471fc4a30297688db90d221d31d447633a | [
"BSD-2-Clause"
] | null | null | null | util.py | logonod/demoss | c792f6471fc4a30297688db90d221d31d447633a | [
"BSD-2-Clause"
] | null | null | null | import skimage.io
import skimage.transform
import numpy as np
| 25.103448 | 65 | 0.608516 |
21844501c3e337cf2b53931afe55bce1da09fdf2 | 248 | py | Python | adgbot/slack.py | astrodatagroup/slack-bot | 9e2bf073972c0ac34a76e86746dd77556cdf7451 | [
"MIT"
] | 2 | 2020-03-12T23:44:54.000Z | 2020-04-24T12:59:08.000Z | adgbot/slack.py | astrodatagroup/slack-bot | 9e2bf073972c0ac34a76e86746dd77556cdf7451 | [
"MIT"
] | 4 | 2020-04-24T12:57:30.000Z | 2020-08-08T14:57:30.000Z | adgbot/slack.py | astrodatagroup/slack-bot | 9e2bf073972c0ac34a76e86746dd77556cdf7451 | [
"MIT"
] | 2 | 2020-08-07T16:33:57.000Z | 2021-10-04T15:26:57.000Z | # -*- coding: utf-8 -*-
__all__ = ["post_message"]
import requests
from . import config
| 17.714286 | 70 | 0.689516 |
21854e402e44b3f6ade05c63d51b295cbf536a9f | 10,054 | py | Python | train_lirpa.py | eth-sri/3dcertify | bb10f339f80149a9ebc7c07d041b2ef222efb394 | [
"Apache-2.0"
] | 9 | 2021-03-31T20:27:50.000Z | 2022-01-07T21:52:47.000Z | train_lirpa.py | eth-sri/3dcertify | bb10f339f80149a9ebc7c07d041b2ef222efb394 | [
"Apache-2.0"
] | 2 | 2021-06-21T15:38:07.000Z | 2021-11-08T09:10:09.000Z | train_lirpa.py | eth-sri/3dcertify | bb10f339f80149a9ebc7c07d041b2ef222efb394 | [
"Apache-2.0"
] | 4 | 2021-07-17T15:04:14.000Z | 2022-02-09T17:51:39.000Z | import argparse
import multiprocessing
import random
import time
import torch.optim as optim
from auto_LiRPA.eps_scheduler import LinearScheduler, AdaptiveScheduler, SmoothedScheduler, FixedScheduler
from auto_LiRPA.perturbations import *
from auto_LiRPA.utils import MultiAverageMeter
from torch.nn import CrossEntropy... | 47.424528 | 136 | 0.647106 |
2185931a1852d943461e09408575acf28198d271 | 3,684 | py | Python | qcs_api_client/models/client_application.py | rigetti/qcs-api-client-python | 569cb9fa972dec1a706757374acb3df3ce649ec4 | [
"Apache-2.0"
] | 2 | 2021-12-15T23:24:40.000Z | 2022-01-03T01:14:17.000Z | qcs_api_client/models/client_application.py | rigetti/qcs-api-client-python | 569cb9fa972dec1a706757374acb3df3ce649ec4 | [
"Apache-2.0"
] | 3 | 2022-01-10T21:55:13.000Z | 2022-02-22T19:41:01.000Z | qcs_api_client/models/client_application.py | rigetti/qcs-api-client-python | 569cb9fa972dec1a706757374acb3df3ce649ec4 | [
"Apache-2.0"
] | 3 | 2021-12-15T23:24:42.000Z | 2022-01-09T11:16:17.000Z | from typing import Any, Callable, Dict, List, Optional, Type, TypeVar, Union
import attr
from ..models.client_applications_download_link import ClientApplicationsDownloadLink
from ..types import UNSET, Unset
from ..util.serialization import is_not_none
T = TypeVar("T", bound="ClientApplication")
| 31.758621 | 106 | 0.628664 |
2186641f0d4ffce02d56535a8ecd616ced38432d | 73 | py | Python | Configuration/Eras/python/Modifier_run2_GEM_2017_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Configuration/Eras/python/Modifier_run2_GEM_2017_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Configuration/Eras/python/Modifier_run2_GEM_2017_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
run2_GEM_2017 = cms.Modifier()
| 18.25 | 40 | 0.808219 |
2187970fb1dec3395b976692b9ba5465f2f484c3 | 16,792 | py | Python | d4rl/carla/data_collection_agent_lane.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 552 | 2020-04-20T01:07:02.000Z | 2022-03-31T16:47:39.000Z | d4rl/carla/data_collection_agent_lane.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 103 | 2020-04-20T14:18:32.000Z | 2022-03-30T14:33:45.000Z | d4rl/carla/data_collection_agent_lane.py | chappers/d4rl | b838da60b51c98c1d673a81657f58a44ccf5d3fe | [
"Apache-2.0"
] | 135 | 2020-04-21T16:57:52.000Z | 2022-03-30T14:29:55.000Z | # !/usr/bin/env python
# Copyright (c) 2019 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
#
# Modified by Rowan McAllister on 20 April 2020
import argparse
import dat... | 36.34632 | 138 | 0.632861 |
2189e908a5d40835988cf4b8179b93819c50451d | 2,386 | py | Python | wren/pomo.py | kthy/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | 1 | 2021-06-04T07:15:02.000Z | 2021-06-04T07:15:02.000Z | wren/pomo.py | kthy/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | 9 | 2021-02-20T22:33:05.000Z | 2021-04-12T17:35:48.000Z | wren/pomo.py | pyxy-dk/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Gettext manipulation methods."""
from os import remove
from os.path import exists
from pathlib import Path
from shutil import copyfile, copystat
from typing import Sequence
from filehash import FileHash
from polib import MOFile, POFile, mofile
from wren.change import Change
def apply_cha... | 34.57971 | 80 | 0.725482 |
218b02aeb89c1d716160e75933fbb97fec67090f | 199 | py | Python | mysite/polls/urls.py | cs-fullstack-fall-2018/django-intro1-psanon19 | 0ae36780fd664313a011e7a219bc401b158fe93f | [
"Apache-2.0"
] | null | null | null | mysite/polls/urls.py | cs-fullstack-fall-2018/django-intro1-psanon19 | 0ae36780fd664313a011e7a219bc401b158fe93f | [
"Apache-2.0"
] | null | null | null | mysite/polls/urls.py | cs-fullstack-fall-2018/django-intro1-psanon19 | 0ae36780fd664313a011e7a219bc401b158fe93f | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('language/', views.language),
path('system/', views.system),
path('ide/', views.ide),
path('', views.nothing)
] | 19.9 | 38 | 0.638191 |
218b26291a3fa107e3de76aeb9676ea1fe58456c | 5,908 | py | Python | Boston_House_Prices.py | Anuska-Ghosh2002/bostonproj | fa3e55ea8417d58a84a66b11dc093d106bd10c79 | [
"MIT"
] | null | null | null | Boston_House_Prices.py | Anuska-Ghosh2002/bostonproj | fa3e55ea8417d58a84a66b11dc093d106bd10c79 | [
"MIT"
] | null | null | null | Boston_House_Prices.py | Anuska-Ghosh2002/bostonproj | fa3e55ea8417d58a84a66b11dc093d106bd10c79 | [
"MIT"
] | null | null | null | import streamlit as st
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
from sklearn.datasets import load_boston
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.met... | 28.403846 | 82 | 0.676202 |
218bab7ad0514bef0bd2c2671ceec38449ab044f | 4,585 | py | Python | tests/controller/worker/test_worker_manager.py | scailfin/flowserv-core | 69376f84bae71b5699688bd213c34a6bf8806319 | [
"MIT"
] | 1 | 2020-02-13T18:57:53.000Z | 2020-02-13T18:57:53.000Z | tests/controller/worker/test_worker_manager.py | scailfin/flowserv-core | 69376f84bae71b5699688bd213c34a6bf8806319 | [
"MIT"
] | 46 | 2020-02-14T22:14:33.000Z | 2021-06-10T21:17:49.000Z | tests/controller/worker/test_worker_manager.py | scailfin/rob-core | 791383085181747cf41c30f6cd13f6762e438d8a | [
"MIT"
] | 3 | 2021-05-06T15:22:29.000Z | 2021-06-01T16:19:36.000Z | # This file is part of the Reproducible and Reusable Data Analysis Workflow
# Server (flowServ).
#
# Copyright (C) 2019-2021 NYU.
#
# flowServ is free software; you can redistribute it and/or modify it under the
# terms of the MIT License; see LICENSE file for more details.
"""Unit tests for the worker factory."""
im... | 37.892562 | 116 | 0.639258 |
218be87fd5642367ab0f3fbe799b44f1dfb60d9c | 640 | py | Python | pyconcz/announcements/migrations/0002_announcement_font_size.py | martinpucala/cz.pycon.org-2019 | 044337ed0e7f721e96d88da69511ba5493d127e6 | [
"MIT"
] | 6 | 2018-08-25T13:40:22.000Z | 2019-05-25T21:58:41.000Z | pyconcz/announcements/migrations/0002_announcement_font_size.py | Giraafje/cz.pycon.org-2019 | f7bfad2f0c0f98368e2f6163f7dce70335549a68 | [
"MIT"
] | 188 | 2018-08-26T06:53:50.000Z | 2022-02-12T04:04:36.000Z | pyconcz/announcements/migrations/0002_announcement_font_size.py | Giraafje/cz.pycon.org-2019 | f7bfad2f0c0f98368e2f6163f7dce70335549a68 | [
"MIT"
] | 15 | 2018-11-03T06:32:34.000Z | 2020-02-11T21:17:14.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-06-11 05:18
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
| 29.090909 | 206 | 0.676563 |
218c1665960b6db6a4d4a313af360d78024780d3 | 896 | py | Python | docs/_ext/db_tables_extension.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | 2 | 2021-07-28T08:46:13.000Z | 2022-01-19T17:05:48.000Z | docs/_ext/db_tables_extension.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | 3 | 2020-11-10T23:34:17.000Z | 2021-03-31T16:19:21.000Z | docs/_ext/db_tables_extension.py | wdr-data/wdr-okr | 71c9e6e8d3521b1bb67d30310a93584389de2127 | [
"MIT"
] | null | null | null | """Custom Sphinx extension to inject database documentation into a ReST document."""
from docutils import nodes
from docutils.parsers.rst import Directive
import sys
import os
import inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)... | 24.216216 | 86 | 0.668527 |
218cc1a2784c43a8ecfb6c736b8023171e1890c1 | 149 | py | Python | vb2py/PythonCard/__init__.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/PythonCard/__init__.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/PythonCard/__init__.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | """
Created: 2001/08/05
Purpose: Turn PythonCard into a package
__version__ = "$Revision: 1.1.1.1 $"
__date__ = "$Date: 2001/08/06 19:53:11 $"
"""
| 16.555556 | 41 | 0.651007 |
218d8e2910387226505ef85b9f0bcefc1939728c | 764 | py | Python | xschem/bandgap_opamp/test/bandgap_bmr_test_op.py | yrrapt/caravel_amsat_txrx_ic | 53bef4537447a623f93772092daeac67c4cb3d45 | [
"Apache-2.0"
] | 15 | 2020-12-13T12:33:15.000Z | 2022-02-17T18:09:25.000Z | xschem/bandgap_opamp/test/bandgap_bmr_test_op.py | yrrapt/caravel_amsat_txrx_ic | 53bef4537447a623f93772092daeac67c4cb3d45 | [
"Apache-2.0"
] | null | null | null | xschem/bandgap_opamp/test/bandgap_bmr_test_op.py | yrrapt/caravel_amsat_txrx_ic | 53bef4537447a623f93772092daeac67c4cb3d45 | [
"Apache-2.0"
] | 6 | 2021-01-02T05:52:21.000Z | 2022-03-28T06:55:07.000Z | import SpiceInterface
import TestUtilities
# create the test utility object
test_utilities_obj = TestUtilities.TestUtilities()
test_utilities_obj.netlist_generation('bandgap_opamp_test_op.sch', 'rundir')
# create the spice interface
spice_interface_obj = SpiceInterface.SpiceInterface(netlist_path="rundir/bandgap_opa... | 28.296296 | 102 | 0.789267 |
218f388452a32732371a26acb9b1b26668fa0afb | 238 | py | Python | cloudmesh-exercises/cloudmesh-common-2.py | cybertraining-dsc/fa19-516-170 | 8746be5a89d897a155468303308efb71ce7ba849 | [
"Apache-2.0"
] | null | null | null | cloudmesh-exercises/cloudmesh-common-2.py | cybertraining-dsc/fa19-516-170 | 8746be5a89d897a155468303308efb71ce7ba849 | [
"Apache-2.0"
] | null | null | null | cloudmesh-exercises/cloudmesh-common-2.py | cybertraining-dsc/fa19-516-170 | 8746be5a89d897a155468303308efb71ce7ba849 | [
"Apache-2.0"
] | 1 | 2019-09-06T17:27:32.000Z | 2019-09-06T17:27:32.000Z | # fa19-516-170 E.Cloudmesh.Common.2
from cloudmesh.common.dotdict import dotdict
color = {"red": 255, "blue": 255, "green": 255, "alpha": 0}
color = dotdict(color)
print("A RGB color: ", color.red, color.blue, color.green, color.alpha) | 29.75 | 71 | 0.697479 |
219042565e81d8c12997684eb40b91c86b416cb5 | 701 | py | Python | ex18.py | arunkumarang/python | 1960e285dfe2ef54d2e3ab37584bfef8b24ecca9 | [
"Apache-2.0"
] | null | null | null | ex18.py | arunkumarang/python | 1960e285dfe2ef54d2e3ab37584bfef8b24ecca9 | [
"Apache-2.0"
] | null | null | null | ex18.py | arunkumarang/python | 1960e285dfe2ef54d2e3ab37584bfef8b24ecca9 | [
"Apache-2.0"
] | null | null | null | #this one is like your scripts with argv
#ok, the *args is actually pointless, we can just do this
#this just takes one argument
#this one takes no arguments
print_two("Zed","Shaw")
print_two_again("Zed","Shaw")
print_one("First!")
print_none()
print_places("Bengaluru", "Chennai", "New Delhi")
| 24.172414 | 76 | 0.663338 |
2190f77ed4afd28489afe1b10eb418ec19a517fe | 5,182 | py | Python | study_tool/entities/menu.py | cubeman99/russian-study-tool | b073df4694f1ad064a780088cdcb1436e1bde7e9 | [
"MIT"
] | null | null | null | study_tool/entities/menu.py | cubeman99/russian-study-tool | b073df4694f1ad064a780088cdcb1436e1bde7e9 | [
"MIT"
] | null | null | null | study_tool/entities/menu.py | cubeman99/russian-study-tool | b073df4694f1ad064a780088cdcb1436e1bde7e9 | [
"MIT"
] | null | null | null | from enum import IntEnum
import os
import pygame
import random
import time
import cmg
import cmg.mathlib
from cmg.application import *
from cmg.graphics import *
from cmg.input import *
from study_tool.config import Config
from study_tool.entities.entity import Entity
| 40.484375 | 84 | 0.614628 |
2191076de1edb4c0b0a54d9d4d3796be34c4306f | 3,677 | py | Python | zhangwei_helper/function/Regedit.py | zwzw911/zhangwei_helper | 8696533f5df50464d619a35834ec19d514a1b13b | [
"MIT"
] | null | null | null | zhangwei_helper/function/Regedit.py | zwzw911/zhangwei_helper | 8696533f5df50464d619a35834ec19d514a1b13b | [
"MIT"
] | null | null | null | zhangwei_helper/function/Regedit.py | zwzw911/zhangwei_helper | 8696533f5df50464d619a35834ec19d514a1b13b | [
"MIT"
] | null | null | null | '''
windows
_open_key: key
_read_key_valuekeyvalue
_save_key_valuekey
read_PATH_valuePATH
append_value_in_PATHPATH
del_value_in_PATHPATH
check_key_value_exists(key,value_name)keyvalue_name
create_value(key,value_name,value_type,value): _save_key_value
delete_value(key,value_name): keyvalue
'''
import winreg
def re... | 30.89916 | 82 | 0.700027 |
2192768bff882444e0830f98671a750d87dcfce9 | 22,767 | py | Python | deep_staple/HybridIdLoader.py | multimodallearning/deep_staple | a27ed9e214bbac96aeab122b05b59b0222cce5c5 | [
"MIT"
] | null | null | null | deep_staple/HybridIdLoader.py | multimodallearning/deep_staple | a27ed9e214bbac96aeab122b05b59b0222cce5c5 | [
"MIT"
] | null | null | null | deep_staple/HybridIdLoader.py | multimodallearning/deep_staple | a27ed9e214bbac96aeab122b05b59b0222cce5c5 | [
"MIT"
] | null | null | null | import warnings
from collections.abc import Iterable
from collections import OrderedDict
import torch
import numpy as np
from torch.utils.data import Dataset
from deep_staple.utils.torch_utils import interpolate_sample, augmentNoise, spatial_augment, torch_manual_seeded, ensure_dense
from deep_staple.utils.common_uti... | 45.172619 | 157 | 0.605877 |
2192db0d2cc72055b715c3531dbce38ec2537308 | 438 | py | Python | scripts/model_assembly/parquet_explorer.py | rsulli55/automates | 1647a8eef85c4f03086a10fa72db3b547f1a0455 | [
"Apache-2.0"
] | 17 | 2018-12-19T16:32:38.000Z | 2021-10-05T07:58:15.000Z | scripts/model_assembly/parquet_explorer.py | rsulli55/automates | 1647a8eef85c4f03086a10fa72db3b547f1a0455 | [
"Apache-2.0"
] | 183 | 2018-12-20T17:03:01.000Z | 2022-02-23T22:21:42.000Z | scripts/model_assembly/parquet_explorer.py | rsulli55/automates | 1647a8eef85c4f03086a10fa72db3b547f1a0455 | [
"Apache-2.0"
] | 5 | 2019-01-04T22:37:49.000Z | 2022-01-19T17:34:16.000Z | import sys
import json
import pandas as pd
if __name__ == "__main__":
main()
| 20.857143 | 65 | 0.707763 |
219394299c86acbdbecacd314e8a2cf464bd2c78 | 1,720 | py | Python | day02/main.py | aschmied/advent-of-code-2020 | 4112cebaf4dc4c6a931824da89ab894d21595673 | [
"BSD-2-Clause"
] | null | null | null | day02/main.py | aschmied/advent-of-code-2020 | 4112cebaf4dc4c6a931824da89ab894d21595673 | [
"BSD-2-Clause"
] | null | null | null | day02/main.py | aschmied/advent-of-code-2020 | 4112cebaf4dc4c6a931824da89ab894d21595673 | [
"BSD-2-Clause"
] | null | null | null |
if __name__ == '__main__':
main()
| 38.222222 | 98 | 0.676744 |
21941897416bc012f80774571a8681a87ac48cad | 6,858 | py | Python | captcha_cnn/runbycolab.py | Rhysn/captcha_break | 5c2675deaff105a323a80c4631f3cf01d76ae345 | [
"MIT"
] | null | null | null | captcha_cnn/runbycolab.py | Rhysn/captcha_break | 5c2675deaff105a323a80c4631f3cf01d76ae345 | [
"MIT"
] | null | null | null | captcha_cnn/runbycolab.py | Rhysn/captcha_break | 5c2675deaff105a323a80c4631f3cf01d76ae345 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
# coding:utf-8
#pip install graphic-verification-code
from captcha.image import ImageCaptcha
import random,gvcode
import numpy as np
import tensorflow as tf
number = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n... | 37.681319 | 141 | 0.594051 |
2194785ae66285d905bdd54bde253e59e60bc9d5 | 1,476 | py | Python | progs/PyEpoch-master/PyEpoch-master/example.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | progs/PyEpoch-master/PyEpoch-master/example.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | progs/PyEpoch-master/PyEpoch-master/example.py | am-3/TimeZoned | e8ae2e90c2d6addf13b145aa2a4c7a9a66c1346e | [
"MIT"
] | null | null | null | # PyEpoch Module Example File.
import pyepoch
# -- TODAY() --
# The today() function returns today's date.
today = pyepoch.today()
print("Today's date & time:")
print(today)
# -- TIMEZONE() --
# The timezone() function returns a date with a different timezone.
# timezone() takes two(2) arguments:
# - date = a da... | 31.404255 | 117 | 0.680217 |
2195d746a275485f7b8e060e078812f4fd92ce29 | 9,615 | py | Python | plugins.disable/warpy_plugin/warpy_plugin.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 38 | 2015-02-12T11:57:59.000Z | 2018-11-15T16:03:45.000Z | plugins.disable/warpy_plugin/warpy_plugin.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 68 | 2015-02-05T23:29:47.000Z | 2017-12-27T08:26:25.000Z | plugins.disable/warpy_plugin/warpy_plugin.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 21 | 2015-02-06T18:58:21.000Z | 2017-12-24T20:08:59.000Z | # -*- coding: UTF-8 -*-
from base_plugin import SimpleCommandPlugin
from plugins.core.player_manager_plugin import permissions, UserLevels
from utility_functions import build_packet, move_ship_to_coords, extract_name
from packets import (
Packets,
WarpAliasType,
WarpWorldType,
WarpActionType,
player... | 36.83908 | 79 | 0.555174 |
2197966d631c9c92b13301a3f1143b67b6729392 | 1,735 | py | Python | sum/4-sum-II.py | windowssocket/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 3 | 2018-05-29T02:29:40.000Z | 2020-02-05T03:28:16.000Z | sum/4-sum-II.py | xidongc/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 1 | 2019-03-08T13:22:32.000Z | 2019-03-08T13:22:32.000Z | sum/4-sum-II.py | xidongc/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 3 | 2018-05-29T11:50:24.000Z | 2018-11-27T12:31:01.000Z | # LTE using two pointers O(n**3)
# hashmap Solution AC O(n**2) | 26.287879 | 71 | 0.311816 |
219817d56a9878e2e56c8fd6d1d6e60bcea7971d | 1,693 | py | Python | event/filetype_check_pull_request_handler.py | micnncim/spinnakerbot | 449a1ba76c62619b515691dbd21f791f5f1d3e5b | [
"Apache-2.0"
] | null | null | null | event/filetype_check_pull_request_handler.py | micnncim/spinnakerbot | 449a1ba76c62619b515691dbd21f791f5f1d3e5b | [
"Apache-2.0"
] | null | null | null | event/filetype_check_pull_request_handler.py | micnncim/spinnakerbot | 449a1ba76c62619b515691dbd21f791f5f1d3e5b | [
"Apache-2.0"
] | null | null | null | from .handler import Handler
from .pull_request_event import GetPullRequest, GetRepo
format_message = ('We prefer that non-test backend code be written in Java or Kotlin, rather ' +
'than Groovy. The following files have been added and written in Groovy:\n\n' +
'{}\n\n' +
'See our server-side ... | 36.021277 | 140 | 0.606615 |
21995407ba2e718df75670c68ae5c377959bb276 | 96 | py | Python | venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/builtin/cpython/cpython3.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/builtin/cpython/cpython3.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/builtin/cpython/cpython3.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/8f/3e/26/6ee86ef4171b7194b098a053f1e488bca8ba920931fd5f9fb809ad9a37 | 96 | 96 | 0.895833 |
21997f6cf26e1689e600188920ad6640d1b47a5e | 4,231 | py | Python | deployment/code/scp-03-Permission.py | weiping-bj/SCP-Workaround-in-AWS-ChinaRegions | f8feeed0fa568cf01b35e092681a975c5b7a8c54 | [
"MIT"
] | 1 | 2021-11-08T06:10:40.000Z | 2021-11-08T06:10:40.000Z | deployment/code/scp-03-Permission.py | weiping-bj/SCP-Workaround-in-AWS-ChinaRegions | f8feeed0fa568cf01b35e092681a975c5b7a8c54 | [
"MIT"
] | null | null | null | deployment/code/scp-03-Permission.py | weiping-bj/SCP-Workaround-in-AWS-ChinaRegions | f8feeed0fa568cf01b35e092681a975c5b7a8c54 | [
"MIT"
] | 1 | 2022-03-30T06:24:16.000Z | 2022-03-30T06:24:16.000Z | import json
import os
import boto3
topicArn = os.environ['TOPIC_ARN']
assumedRole = os.environ['ASSUMED_ROLE']
scpBoundary = os.environ['SCP_BOUNDARY_POLICY']
sns_client = boto3.client('sns')
sts_client = boto3.client('sts') | 32.05303 | 120 | 0.605294 |
219a50648cf64b278567555f4d618a30757f4bc1 | 1,200 | py | Python | betfairlightweight/endpoints/navigation.py | rozzac90/betfair | de885adf308e48bfc2614df46a5375a7df6386ef | [
"MIT"
] | 1 | 2020-04-15T22:17:26.000Z | 2020-04-15T22:17:26.000Z | betfairlightweight/endpoints/navigation.py | rozzac90/betfair | de885adf308e48bfc2614df46a5375a7df6386ef | [
"MIT"
] | null | null | null | betfairlightweight/endpoints/navigation.py | rozzac90/betfair | de885adf308e48bfc2614df46a5375a7df6386ef | [
"MIT"
] | 1 | 2021-04-26T14:47:28.000Z | 2021-04-26T14:47:28.000Z | from requests import ConnectionError
from ..exceptions import APIError
from ..utils import check_status_code
from .baseendpoint import BaseEndpoint
| 30 | 85 | 0.66 |
219aa4d5dddc72d3249a60a8339ee2344c7a1e6b | 3,733 | py | Python | datasets/fbp_dataset.py | Zumo09/Feedback-Prize | e7e7343a81bfec2f5b187f2266154da0bbe48fb9 | [
"MIT"
] | null | null | null | datasets/fbp_dataset.py | Zumo09/Feedback-Prize | e7e7343a81bfec2f5b187f2266154da0bbe48fb9 | [
"MIT"
] | null | null | null | datasets/fbp_dataset.py | Zumo09/Feedback-Prize | e7e7343a81bfec2f5b187f2266154da0bbe48fb9 | [
"MIT"
] | null | null | null | import os
from tqdm import tqdm
from functools import reduce
from typing import Dict, List, Callable, Tuple
import numpy as np
import pandas as pd
from sklearn.preprocessing import OrdinalEncoder
import torch
from torch.utils.data import Dataset
def load_test_texts(path: str, preprocess: List[Callable[[str], str]... | 30.85124 | 88 | 0.595232 |
219b49298771b09ffd76ddb885ed2c8ac603b1e4 | 614 | py | Python | mtw/fl_user/urls.py | sukumar1612/medical-transcription-website | 8ac2aaaec2e93a2f512e9f22fbf805c9c36a0d6d | [
"MIT"
] | 2 | 2021-05-24T06:08:41.000Z | 2021-05-26T19:21:01.000Z | mtw/fl_user/urls.py | sukumar1612/medical-transcription-website | 8ac2aaaec2e93a2f512e9f22fbf805c9c36a0d6d | [
"MIT"
] | null | null | null | mtw/fl_user/urls.py | sukumar1612/medical-transcription-website | 8ac2aaaec2e93a2f512e9f22fbf805c9c36a0d6d | [
"MIT"
] | 3 | 2021-05-22T11:37:30.000Z | 2021-06-01T08:34:01.000Z | from django.urls import path
from fl_user import views
app_name = 'fl_user'
urlpatterns = [
path('receive_data/',views.receive_data, name='receive_data'),
path('doctorhome/', views.doctorhome, name='doctorhome'),
path('fluhome/', views.fluhome, name='fluhome'),
path('sluhome/', views.sluhome, name='s... | 36.117647 | 74 | 0.726384 |
219b950bb1bd75ed87fec4ee388a2ee1d19a75cf | 4,350 | py | Python | check_purefa_hw.py | frank-m/nagios-plugins | 64681d8c89143f9deb9f3bd9a9c2d4e9bd040bb0 | [
"Apache-2.0"
] | null | null | null | check_purefa_hw.py | frank-m/nagios-plugins | 64681d8c89143f9deb9f3bd9a9c2d4e9bd040bb0 | [
"Apache-2.0"
] | null | null | null | check_purefa_hw.py | frank-m/nagios-plugins | 64681d8c89143f9deb9f3bd9a9c2d4e9bd040bb0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2018, 2019, 2020 Pure Storage, Inc.
#
# * Overview
#
# This short Nagios/Icinga plugin code shows how to build a simple plugin to monitor Pure Storage FlashArrays.
# The Pure Storage Python REST Client is used to query the FlashArray.
#
# * Installation
#
# The script should be co... | 39.189189 | 117 | 0.691494 |
219ba636e42aee8cec43580d423fc62e4f5c5cf3 | 686 | py | Python | flaskr/models.py | ukeskin/cevrimici-kitap-galerisi | bea06dc417bb779e185b50d6f7f848a33e6f7bcb | [
"MIT"
] | null | null | null | flaskr/models.py | ukeskin/cevrimici-kitap-galerisi | bea06dc417bb779e185b50d6f7f848a33e6f7bcb | [
"MIT"
] | null | null | null | flaskr/models.py | ukeskin/cevrimici-kitap-galerisi | bea06dc417bb779e185b50d6f7f848a33e6f7bcb | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField
from wtforms.validators import DataRequired
from database import db
| 31.181818 | 58 | 0.586006 |
219c423bdd2f170bbacb2a4f7c4d40c610971bf4 | 4,807 | py | Python | project/interpreter_gql/interpreter_utils/set_operations.py | makar-pelogeiko/formal-lang-course | 8d0e1ffb081aaccf19ab69103509928ecccb46d9 | [
"Apache-2.0"
] | null | null | null | project/interpreter_gql/interpreter_utils/set_operations.py | makar-pelogeiko/formal-lang-course | 8d0e1ffb081aaccf19ab69103509928ecccb46d9 | [
"Apache-2.0"
] | 3 | 2021-10-14T14:20:02.000Z | 2022-01-22T23:51:11.000Z | project/interpreter_gql/interpreter_utils/set_operations.py | makar-pelogeiko/formal-lang-course | 8d0e1ffb081aaccf19ab69103509928ecccb46d9 | [
"Apache-2.0"
] | null | null | null | from pyformlang.regular_expression import Regex
from pyformlang.regular_expression.regex_objects import Symbol
from project.interpreter_gql.memory import MemBox
from project.interpreter_gql.interpreter_utils.type_utils import get_target_type
from project.interpreter_gql.interpreter_utils.interpreter_except import Inter... | 34.582734 | 88 | 0.655918 |
219c724863fb056a3439c9d977aff6892d9fe9e5 | 2,757 | py | Python | 2021/day-09/solve.py | alexandru-dinu/aoc-2020 | c7a5f648ea6fceb90ee3e2c1b9dd24bf206cf15f | [
"MIT"
] | 1 | 2021-12-03T11:56:56.000Z | 2021-12-03T11:56:56.000Z | 2021/day-09/solve.py | alexandru-dinu/aoc-2020 | c7a5f648ea6fceb90ee3e2c1b9dd24bf206cf15f | [
"MIT"
] | 9 | 2021-12-04T19:16:06.000Z | 2021-12-21T16:43:05.000Z | 2021/day-09/solve.py | alexandru-dinu/aoc-2020 | c7a5f648ea6fceb90ee3e2c1b9dd24bf206cf15f | [
"MIT"
] | null | null | null | from __future__ import annotations
from argparse import ArgumentParser
from collections import deque
import numpy as np
def count_lte(mat: np.ndarray) -> np.ndarray:
"""
lte[i,j] = count (neighbours <= mat[i,j])
. t .
l . r
. b .
"""
aug = np.pad(mat.astype(float), (1, 1), mode="constant... | 21.372093 | 84 | 0.52811 |
219d913bf411991d2c2b4c9921337f7af16cc0c8 | 5,997 | py | Python | applications/tensorflow2/image_classification/data/data_transformer.py | payoto/graphcore_examples | 46d2b7687b829778369fc6328170a7b14761e5c6 | [
"MIT"
] | 260 | 2019-11-18T01:50:00.000Z | 2022-03-28T23:08:53.000Z | applications/tensorflow2/image_classification/data/data_transformer.py | payoto/graphcore_examples | 46d2b7687b829778369fc6328170a7b14761e5c6 | [
"MIT"
] | 27 | 2020-01-28T23:07:50.000Z | 2022-02-14T15:37:06.000Z | applications/tensorflow2/image_classification/data/data_transformer.py | payoto/graphcore_examples | 46d2b7687b829778369fc6328170a7b14761e5c6 | [
"MIT"
] | 56 | 2019-11-18T02:13:12.000Z | 2022-02-28T14:36:09.000Z | # Copyright (c) 2021 Graphcore Ltd. All rights reserved.
import tensorflow as tf
from tensorflow.python.ops import math_ops
import logging
from . import imagenet_processing
from custom_exceptions import UnsupportedFormat, DimensionError
| 38.941558 | 111 | 0.638486 |
219dec95a0e5d58334e741ed6c4d5f6ef28f50d0 | 273 | py | Python | social/urls.py | zhongmei57485/SwiperPro | b00dde5af05f158d7cd2c649e8a07a2c19623b69 | [
"Apache-2.0"
] | null | null | null | social/urls.py | zhongmei57485/SwiperPro | b00dde5af05f158d7cd2c649e8a07a2c19623b69 | [
"Apache-2.0"
] | 9 | 2019-12-04T23:48:54.000Z | 2021-06-10T18:31:57.000Z | social/urls.py | zhongmei57485/SwiperPro | b00dde5af05f158d7cd2c649e8a07a2c19623b69 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from social import apis
urlpatterns=[
path('recommend',apis.recommend),
path('like',apis.like),
path('dislike',apis.dislike),
path('superlike',apis.superlike),
path('rewind',apis.rewind),
path('like-me',apis.like_me),
] | 24.818182 | 37 | 0.681319 |
219edc590375fdad03e3c0c586530e16a13fd443 | 3,657 | py | Python | GPIB_Control.py | TheHWcave/GPIB-to-USB | 2f2469900ecca459fcee24f550519abc78480886 | [
"MIT"
] | 7 | 2020-02-02T06:29:13.000Z | 2022-03-22T00:39:52.000Z | GPIB_Control.py | TheHWcave/GPIB-to-USB | 2f2469900ecca459fcee24f550519abc78480886 | [
"MIT"
] | null | null | null | GPIB_Control.py | TheHWcave/GPIB-to-USB | 2f2469900ecca459fcee24f550519abc78480886 | [
"MIT"
] | 1 | 2019-03-21T15:49:40.000Z | 2019-03-21T15:49:40.000Z | #MIT License
#
#Copyright (c) 2019 TheHWcave
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, publish,... | 33.245455 | 86 | 0.699207 |
219eff34d4867620514405299c53bb4d517aed92 | 3,224 | py | Python | scripts/check_spec.py | soasme/PeppaPEG | 3ad481674ba3bbed6d495a6ad3b1f8087e6fd02d | [
"MIT"
] | 30 | 2021-02-10T04:40:52.000Z | 2022-03-04T07:49:35.000Z | scripts/check_spec.py | soasme/PeppaPEG | 3ad481674ba3bbed6d495a6ad3b1f8087e6fd02d | [
"MIT"
] | 30 | 2021-02-16T09:24:44.000Z | 2022-01-09T02:45:17.000Z | scripts/check_spec.py | soasme/PeppaPEG | 3ad481674ba3bbed6d495a6ad3b1f8087e6fd02d | [
"MIT"
] | 4 | 2021-02-22T22:37:58.000Z | 2021-12-24T16:28:27.000Z | import os.path
import subprocess
import sys
import json
import yaml
import shlex
if __name__ == '__main__':
test_spec()
| 37.057471 | 125 | 0.433313 |
219f1d9b10fd7858f91ccf44c96ea3fd2cc531d1 | 4,874 | py | Python | interlacer/utils.py | MedicalVisionGroup/interlacer | 60c14782729031a2af48c27fddb649d37cdca0e9 | [
"MIT"
] | null | null | null | interlacer/utils.py | MedicalVisionGroup/interlacer | 60c14782729031a2af48c27fddb649d37cdca0e9 | [
"MIT"
] | null | null | null | interlacer/utils.py | MedicalVisionGroup/interlacer | 60c14782729031a2af48c27fddb649d37cdca0e9 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
def split_reim(array):
"""Split a complex valued matrix into its real and imaginary parts.
Args:
array(complex): An array of shape (batch_size, N, N) or (batch_size, N, N, 1)
Returns:
split_array(float): An array of shape (batch_size, N, N, 2) conta... | 29.719512 | 147 | 0.603816 |
219f201f5364e4e40d6488c12a95af6558fcad59 | 233 | py | Python | workspace/src/barc/src/modify_cam_param.py | Cyphysecurity/darc | 2fe4f35d4ac7dc52606f30b86bf52464d6ca0ac3 | [
"MIT"
] | 1 | 2019-07-31T11:55:34.000Z | 2019-07-31T11:55:34.000Z | workspace/src/barc/src/modify_cam_param.py | Cyphysecurity/darc | 2fe4f35d4ac7dc52606f30b86bf52464d6ca0ac3 | [
"MIT"
] | 4 | 2020-02-12T00:54:30.000Z | 2021-06-10T20:26:26.000Z | workspace/src/barc/src/modify_cam_param.py | Cyphysecurity/darc | 2fe4f35d4ac7dc52606f30b86bf52464d6ca0ac3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
modify camera parameters using v4l
'''
import os
# change /dev/video6 resolution
#os.system('v4l2-ctl -d /dev/video6 -v width=640,height=480')
os.system('v4l2-ctl -d /dev/video6 -v width=160,height=120')
| 19.416667 | 61 | 0.703863 |
21a04335d89c7d0c5916d0d77c189c61e2cfb328 | 24,611 | py | Python | GenerateSyntheticData.py | dragonfly-asl/SyntheticDataGenerator | 368b8e6ba0489053e98abd7bc0b720b71d6cae99 | [
"Apache-2.0"
] | null | null | null | GenerateSyntheticData.py | dragonfly-asl/SyntheticDataGenerator | 368b8e6ba0489053e98abd7bc0b720b71d6cae99 | [
"Apache-2.0"
] | null | null | null | GenerateSyntheticData.py | dragonfly-asl/SyntheticDataGenerator | 368b8e6ba0489053e98abd7bc0b720b71d6cae99 | [
"Apache-2.0"
] | 1 | 2019-06-25T15:05:02.000Z | 2019-06-25T15:05:02.000Z | # /bin/env python
# coding: utf-8
from __future__ import print_function
import sys
import argparse
import logging
import os
import math
import cv2
import numpy as np
if __name__ == "__main__":
argparser = argparse.ArgumentParser()
argparser.add_argument('-l', '--log-level', default='INFO', help="log-level ... | 48.35167 | 135 | 0.557027 |
21a24250ffe367e1f9da7b56a97743385de6126c | 10,065 | py | Python | front/services/ingest_matches_service.py | jimixjay/acestats | 015a26e084fda70ab5754b78ce2e5157fee29d10 | [
"Apache-2.0"
] | null | null | null | front/services/ingest_matches_service.py | jimixjay/acestats | 015a26e084fda70ab5754b78ce2e5157fee29d10 | [
"Apache-2.0"
] | null | null | null | front/services/ingest_matches_service.py | jimixjay/acestats | 015a26e084fda70ab5754b78ce2e5157fee29d10 | [
"Apache-2.0"
] | 1 | 2021-01-15T19:56:41.000Z | 2021-01-15T19:56:41.000Z | from service_objects import services
import numpy as np
import pandas as pd
from django.db import connection
import datetime
from front.models import Match, Match_Stats, Player, Tourney, Tourney_Level, Surface | 52.696335 | 221 | 0.525286 |
21a39959b787e7f048c3956b733c098a43568590 | 5,583 | py | Python | test/test_websocket.py | lmacken/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 22 | 2019-04-27T02:14:52.000Z | 2021-01-04T00:37:41.000Z | test/test_websocket.py | redquantum/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 7 | 2019-04-28T20:57:49.000Z | 2021-09-03T03:39:22.000Z | test/test_websocket.py | redquantum/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 9 | 2019-04-27T23:43:51.000Z | 2021-04-15T18:09:51.000Z | # Copyright 2019, Luke Macken, Kim Bui, and the binance-chain-python contributors
# SPDX-License-Identifier: MIT
"""
Binance DEX WebSocket Test Suite
"""
import asyncio
import pytest
from binancechain import HTTPClient, WebSocket
| 21.980315 | 81 | 0.675981 |
21a3bdf657a4e6add202d0974b1f52333a1151c2 | 2,590 | py | Python | opentaxii/config.py | eclecticiq/OpenTAXII | d04d0fcc65809cf8fd7baf0c69019c45c4243080 | [
"BSD-3-Clause"
] | 84 | 2018-04-16T18:35:27.000Z | 2022-03-02T15:50:22.000Z | opentaxii/config.py | eclecticiq/OpenTAXII | d04d0fcc65809cf8fd7baf0c69019c45c4243080 | [
"BSD-3-Clause"
] | 90 | 2018-04-18T08:56:50.000Z | 2022-03-30T12:42:21.000Z | opentaxii/config.py | eclecticiq/OpenTAXII | d04d0fcc65809cf8fd7baf0c69019c45c4243080 | [
"BSD-3-Clause"
] | 54 | 2018-05-05T03:10:39.000Z | 2022-03-11T16:26:49.000Z | import os
from collections import defaultdict
import yaml
from libtaxii.constants import ST_TYPES_10, ST_TYPES_11
current_dir = os.path.dirname(os.path.realpath(__file__))
ENV_VAR_PREFIX = 'OPENTAXII_'
CONFIG_ENV_VAR = 'OPENTAXII_CONFIG'
DEFAULT_CONFIG_NAME = 'defaults.yml'
DEFAULT_CONFIG = os.path.join(current_dir... | 32.375 | 76 | 0.666795 |
21a5fba047b0e38c889d6a4e058f430fb4400ae9 | 56,108 | py | Python | classifier/quant_trees.py | bradysalz/MinVAD | 4d4a396b381bbb4714b434f60e09fb2fa7d3c474 | [
"MIT"
] | null | null | null | classifier/quant_trees.py | bradysalz/MinVAD | 4d4a396b381bbb4714b434f60e09fb2fa7d3c474 | [
"MIT"
] | 2 | 2016-12-09T21:16:28.000Z | 2016-12-09T21:29:10.000Z | classifier/quant_trees.py | bradysalz/MinVAD | 4d4a396b381bbb4714b434f60e09fb2fa7d3c474 | [
"MIT"
] | null | null | null | ##################################################
##################################################
##################################################
##################################################
##################################################
##################################################
##############... | 40.191977 | 58 | 0.55247 |
21a698ad6f8035ce96d6e79e8a6eb4d69be7b56f | 1,193 | py | Python | DS_Alog_Python/array_employeelist.py | abhigyan709/dsalgo | 868448834b22e06e572b4a0b4ba85cb1b0c6d7ee | [
"MIT"
] | 1 | 2021-06-03T10:20:50.000Z | 2021-06-03T10:20:50.000Z | DS_Alog_Python/array_employeelist.py | abhigyan709/dsalgo | 868448834b22e06e572b4a0b4ba85cb1b0c6d7ee | [
"MIT"
] | null | null | null | DS_Alog_Python/array_employeelist.py | abhigyan709/dsalgo | 868448834b22e06e572b4a0b4ba85cb1b0c6d7ee | [
"MIT"
] | null | null | null |
emp1=Employee("Kevin",24089, "Kevin_xyz@organization.com")
emp2=Employee("Jack",56789,"Jack_xyz@organization.com")
emp3=Employee("Jackson",67895,"Jackson_xyz@organization.com")
emp4=Employee("Henry Jack",23456,"Jacky_xyz@organization.com")
emp_list=[emp1,emp2,emp3,emp4]
org_dir=OrganizationDirectory(emp_list)
#Sear... | 27.744186 | 78 | 0.674769 |