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127add1ede6fc7e323acde12acceb115ae953001 | 463 | py | Python | tentacruel/heos_watcher/__init__.py | paulhoule/tentacruel | 600f39157598b762226a1c07d78966981da5f7f9 | [
"MIT"
] | null | null | null | tentacruel/heos_watcher/__init__.py | paulhoule/tentacruel | 600f39157598b762226a1c07d78966981da5f7f9 | [
"MIT"
] | 39 | 2019-01-12T00:00:48.000Z | 2019-05-08T02:06:36.000Z | tentacruel/heos_watcher/__init__.py | paulhoule/tentacruel | 600f39157598b762226a1c07d78966981da5f7f9 | [
"MIT"
] | null | null | null | from uuid import UUID
HEOS_NS = UUID('003df636-ad90-11e9-aca1-9eb6d06a70c5')
attributes = {
"/player_volume_changed": {
"device_id": "pid",
"name": "heos.volume",
"subattributes": ["level", "mute"]
},
"/player_now_playing_progress": {
"device_id": "pid",
"name": "heo... | 24.368421 | 54 | 0.61987 | from uuid import UUID
from aio_pika import Exchange
from tentacruel import HeosClientProtocol
HEOS_NS = UUID('003df636-ad90-11e9-aca1-9eb6d06a70c5')
attributes = {
"/player_volume_changed": {
"device_id": "pid",
"name": "heos.volume",
"subattributes": ["level", "mute"]
},
"/player_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 45 |
0af00527171f4fdb332cc8b7ff7cfbe536057074 | 1,257 | py | Python | demo/amrparsing/create_span_concept_dict.py | raosudha89/vowpal_wabbit | 03e973838e022149d802ec3f5e2817dcbc9019d5 | [
"BSD-3-Clause"
] | 2 | 2016-05-20T16:27:07.000Z | 2021-10-01T16:35:53.000Z | demo/amrparsing/create_span_concept_dict.py | Sandy4321/vowpal_wabbit-1 | 03e973838e022149d802ec3f5e2817dcbc9019d5 | [
"BSD-3-Clause"
] | null | null | null | demo/amrparsing/create_span_concept_dict.py | Sandy4321/vowpal_wabbit-1 | 03e973838e022149d802ec3f5e2817dcbc9019d5 | [
"BSD-3-Clause"
] | 1 | 2021-10-01T16:35:54.000Z | 2021-10-01T16:35:54.000Z | import sys
import cPickle as pickle
from collections import OrderedDict
argv = sys.argv[1:]
if len(argv) < 1:
print "usage: create_span_concept_dict.py <span_concept_dataset.p> <output_filename>"
sys.exit()
span_concept_dataset = pickle.load(open(argv[0], "rb"))
output_filename = argv[1]
output_file = open(output_f... | 34.916667 | 112 | 0.739857 | import sys
import cPickle as pickle
from collections import OrderedDict
argv = sys.argv[1:]
if len(argv) < 1:
print "usage: create_span_concept_dict.py <span_concept_dataset.p> <output_filename>"
sys.exit()
span_concept_dataset = pickle.load(open(argv[0], "rb"))
output_filename = argv[1]
output_file = open(output_f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8642c823acca4db3ebf91ee66a8a446df6a868a9 | 55,071 | py | Python | coverage_test_proxy.py | urbas/CoAPthon3 | f6a3c25cde5371fb003a18b94a8f8e8bee5c534a | [
"MIT"
] | 51 | 2018-01-26T16:47:38.000Z | 2022-01-18T08:44:20.000Z | coverage_test_proxy.py | urbas/CoAPthon3 | f6a3c25cde5371fb003a18b94a8f8e8bee5c534a | [
"MIT"
] | 28 | 2018-02-21T12:24:21.000Z | 2021-08-03T15:50:06.000Z | coverage_test_proxy.py | urbas/CoAPthon3 | f6a3c25cde5371fb003a18b94a8f8e8bee5c534a | [
"MIT"
] | 48 | 2018-01-29T08:55:53.000Z | 2021-10-17T00:38:19.000Z | # -*- coding: utf-8 -*-
import unittest
__author__ = 'Giacomo Tanganelli'
__version__ = "2.0"
if __name__ == '__main__':
unittest.main()
| 38.727848 | 123 | 0.603348 | # -*- coding: utf-8 -*-
from queue import Queue
import random
import socket
import threading
import unittest
from coapclient import HelperClient
from coapforwardproxy import CoAPForwardProxy
from coapserver import CoAPServer
from coapthon import defines
from coapthon.messages.option import Option
from coapthon.messag... | 0 | 0 | 0 | 54,506 | 0 | 0 | 0 | 131 | 289 |
460b7bbb44e83bb656c795546fd27222fb6d006d | 1,948 | py | Python | tests/run_trading_bot_test.py | Ricky294/cryptodata | da9cbcfdfa155830b3e877e9d5736dace17ced88 | [
"MIT"
] | null | null | null | tests/run_trading_bot_test.py | Ricky294/cryptodata | da9cbcfdfa155830b3e877e9d5736dace17ced88 | [
"MIT"
] | null | null | null | tests/run_trading_bot_test.py | Ricky294/cryptodata | da9cbcfdfa155830b3e877e9d5736dace17ced88 | [
"MIT"
] | null | null | null |
# candle_stream(
# symbol="btcusdt",
# interval="1h",
# candles=candles,
# on_open=on_open,
# on_close=on_close,
# on_candle=on_candle,
# on_candle_close=on_candle_close,
# )
| 23.190476 | 87 | 0.676078 | from datetime import datetime
import pandas as pd
import websocket
from tests import tests_path
from crypto_data.shared.utils import exclude_values
from crypto_data.binance.extract import get_candles, get_latest_candle_timestamp
from crypto_data.binance.schema import (
OPEN_TIME,
OPEN_PRICE,
CLOSE_PRICE,
... | 0 | 0 | 0 | 0 | 0 | 1,168 | 0 | 250 | 293 |
d022948a48bb25e619e60df0d1f33e7b1a71f499 | 2,689 | py | Python | server/video_process.py | brycecorbitt/FlashGuard | e018595fa7474065b6359c95b6ee78d2dfee24d5 | [
"MIT"
] | null | null | null | server/video_process.py | brycecorbitt/FlashGuard | e018595fa7474065b6359c95b6ee78d2dfee24d5 | [
"MIT"
] | null | null | null | server/video_process.py | brycecorbitt/FlashGuard | e018595fa7474065b6359c95b6ee78d2dfee24d5 | [
"MIT"
] | 2 | 2019-05-29T15:18:16.000Z | 2020-06-02T16:08:44.000Z | import youtube_dl
import os
FLASH_MINIMUM = 3
tmp_dir = 'temp/'
ex = {'format': 'worstvideo[vcodec^=avc1][fps=30]/worst[vcodec^=avc1][fps=30]/worstvideo[vcodec=vp9][fps=30]/worst[vcodec=vp9][fps=30]', 'outtmpl': 'temp/temp.%(ext)s', 'recode_video': 'webm'}
ytdl = youtube_dl.YoutubeDL(ex)
if not os.path.isdir(tmp_di... | 24.225225 | 192 | 0.605058 | import cv2
import youtube_dl
import numpy as np
import os
import time
FLASH_MINIMUM = 3
tmp_dir = 'temp/'
ex = {'format': 'worstvideo[vcodec^=avc1][fps=30]/worst[vcodec^=avc1][fps=30]/worstvideo[vcodec=vp9][fps=30]/worst[vcodec=vp9][fps=30]', 'outtmpl': 'temp/temp.%(ext)s', 'recode_video': 'webm'}
ytdl = youtube_dl.... | 0 | 0 | 0 | 0 | 0 | 1,848 | 0 | -24 | 227 |
8a02077158eed84ba37ce6ea33e5f141cd7a9c06 | 15,524 | py | Python | slim/nets/inception_v4.py | svedi/tensorflow_models | 0d58acf27841c5591b7caad8fc7e3498c219f382 | [
"Apache-2.0"
] | null | null | null | slim/nets/inception_v4.py | svedi/tensorflow_models | 0d58acf27841c5591b7caad8fc7e3498c219f382 | [
"Apache-2.0"
] | null | null | null | slim/nets/inception_v4.py | svedi/tensorflow_models | 0d58acf27841c5591b7caad8fc7e3498c219f382 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 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 applicable ... | 47.91358 | 80 | 0.622327 | # Copyright 2016 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 applicable ... | 0 | 0 | 0 | 0 | 0 | 75 | 0 | 0 | 25 |
c7d0a67ce9575c64567f250d546dfe7a3a82b6d0 | 6,625 | py | Python | pyopentsdb/query.py | mikecokina/pyopentsdb | b8d78e8f42aed4ebbd6ac3aff925071de41d6b52 | [
"MIT"
] | 2 | 2018-05-09T08:34:30.000Z | 2018-09-25T22:42:09.000Z | pyopentsdb/query.py | mikecokina/pyopentsdb | b8d78e8f42aed4ebbd6ac3aff925071de41d6b52 | [
"MIT"
] | 2 | 2018-12-24T10:51:30.000Z | 2019-01-21T13:55:11.000Z | pyopentsdb/query.py | mikecokina/pyopentsdb | b8d78e8f42aed4ebbd6ac3aff925071de41d6b52 | [
"MIT"
] | null | null | null | from queue import Queue
from threading import Thread
from pyopentsdb import errors
from pyopentsdb.utils import request_post
from pyopentsdb.conf import QueryPointer
def tsdb_query_metrics_validation(**kwargs):
"""
looking for metric and all related and required arguments in kwargs specified in ... | 34.505208 | 115 | 0.637736 | from queue import Queue
from queue import Empty
from threading import Thread
from pyopentsdb import errors
from pyopentsdb.utils import request_post
from pyopentsdb.conf import QueryPointer
class IterableQueue(object):
""" Transform standard python Queue instance to iterable one"""
def __init__(self, source... | 0 | 0 | 0 | 398 | 0 | 726 | 0 | 2 | 94 |
68fe1bd2aeb26294f3009435d3e3d763b7b7ffa7 | 10,564 | py | Python | old_versions/sgnn_pl_pure/loss.py | goodok/sgnn | a1ea5023c5b7e4f1a66afd1daed10a60786e6ac1 | [
"MIT"
] | 2 | 2020-08-10T13:55:01.000Z | 2020-08-13T16:06:25.000Z | old_versions/sgnn_pl_pure/loss.py | goodok/sgnn | a1ea5023c5b7e4f1a66afd1daed10a60786e6ac1 | [
"MIT"
] | null | null | null | old_versions/sgnn_pl_pure/loss.py | goodok/sgnn | a1ea5023c5b7e4f1a66afd1daed10a60786e6ac1 | [
"MIT"
] | 2 | 2020-11-13T17:48:13.000Z | 2020-11-13T17:50:35.000Z |
UNK_THRESH = 2
#UNK_THRESH = 3
UNK_ID = -1
# note: weight_missing_geo must be > 1
# hierarchical loss
| 45.339056 | 230 | 0.648429 |
import numpy as np
import torch
import torch.nn.functional as F
import sparseconvnet as scn
import data_util
UNK_THRESH = 2
#UNK_THRESH = 3
UNK_ID = -1
def compute_targets(target, hierarchy, num_hierarchy_levels, truncation, use_loss_masking, known):
assert(len(target.shape) == 5)
target_for_occs = [None]... | 0 | 0 | 0 | 0 | 0 | 10,160 | 0 | -1 | 295 |
8673e63a5911ec7d23cefb57c9ad17a81189a8e3 | 5,978 | py | Python | geomstats/integrator.py | YannCabanes/geomstats | ce3f4bab6cd59c2f071371a46e336086771d0493 | [
"MIT"
] | 2 | 2022-03-30T00:47:45.000Z | 2022-03-31T18:22:16.000Z | geomstats/integrator.py | YannCabanes/geomstats | ce3f4bab6cd59c2f071371a46e336086771d0493 | [
"MIT"
] | null | null | null | geomstats/integrator.py | YannCabanes/geomstats | ce3f4bab6cd59c2f071371a46e336086771d0493 | [
"MIT"
] | null | null | null | r"""Integrator functions used when no closed forms are available.
Lead author: Nicolas Guigui.
These are designed for first order ODE written of a variable x and a time
variable t:
.. math::
\frac{dx}{dt} = force(x, t)
where :math: `x` is called the state variable. It may represent many
variable... | 28.065728 | 79 | 0.607059 | r"""Integrator functions used when no closed forms are available.
Lead author: Nicolas Guigui.
These are designed for first order ODE written of a variable x and a time
variable t:
.. math::
\frac{dx}{dt} = force(x, t)
where :math: `x` is called the state variable. It may represent many
variable... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4bcfe6f5e75c6f352c785ad65e7375a9edd97d19 | 3,524 | py | Python | haipproxy/scheduler.py | searchlyf/haipproxy | 33be5298c2dc11372b6faa8ec7f4c10d3bcb7ec1 | [
"MIT"
] | null | null | null | haipproxy/scheduler.py | searchlyf/haipproxy | 33be5298c2dc11372b6faa8ec7f4c10d3bcb7ec1 | [
"MIT"
] | null | null | null | haipproxy/scheduler.py | searchlyf/haipproxy | 33be5298c2dc11372b6faa8ec7f4c10d3bcb7ec1 | [
"MIT"
] | null | null | null | """
This module schedules all the tasks according to config.rules.
"""
import logging
from haipproxy.config.rules import CRAWLER_TASKS
from haipproxy.settings import (SPIDER_AJAX_Q, SPIDER_GFW_Q, SPIDER_AJAX_GFW_Q)
DEFAULT_CRAWLER_QS = [SPIDER_AJAX_Q, SPIDER_GFW_Q, SPIDER_AJAX_GFW_Q]
logger = logging.getLogger(__name... | 30.119658 | 85 | 0.648978 | """
This module schedules all the tasks according to config.rules.
"""
import click
import logging
import multiprocessing
import schedule
import time
from scrapy.crawler import CrawlerRunner
from scrapy.utils.project import get_project_settings
from twisted.internet import reactor
from haipproxy.client import SquidCl... | 0 | 0 | 0 | 2,225 | 0 | 232 | 0 | 192 | 291 |
a343dd3be46b0b1c71ff80808ad25d2733b56f65 | 1,176 | py | Python | NLP/libs/NLP/classification/train_data.py | YarosJ/prestige-of-districts | 56ef437bff3f55e843a0602e0d33467582a50e5d | [
"MIT"
] | 6 | 2019-04-30T11:01:10.000Z | 2021-02-17T17:58:24.000Z | NLP/libs/NLP/classification/train_data.py | YarosJ/prestige-of-districts | 56ef437bff3f55e843a0602e0d33467582a50e5d | [
"MIT"
] | null | null | null | NLP/libs/NLP/classification/train_data.py | YarosJ/prestige-of-districts | 56ef437bff3f55e843a0602e0d33467582a50e5d | [
"MIT"
] | 1 | 2019-09-25T03:19:52.000Z | 2019-09-25T03:19:52.000Z | #!/usr/bin/env python
# coding: utf8
from __future__ import unicode_literals
categories = {'FAULT': 0, 'INFO': 0, 'TOXIC': 0, 'REPAIR': 0}
| 30.947368 | 123 | 0.647109 | #!/usr/bin/env python
# coding: utf8
from __future__ import unicode_literals
import random
import operator
from typing import Dict
categories = {'FAULT': 0, 'INFO': 0, 'TOXIC': 0, 'REPAIR': 0}
def train_data(*args, coefficient: float = 20):
categories_counts: Dict[str, float] = categories.copy()
result = []... | 0 | 0 | 0 | 0 | 0 | 957 | 0 | -12 | 89 |
30efe457e2cdfa8b5a921c646458acb2e2e64f67 | 279 | py | Python | Code/stacks-and-queues/reverse.py | lukeaparker/CS1.3-Data-Struct | 2b09fa95ddb1fd3e21c42ccacdc9e19fc53382a8 | [
"MIT"
] | null | null | null | Code/stacks-and-queues/reverse.py | lukeaparker/CS1.3-Data-Struct | 2b09fa95ddb1fd3e21c42ccacdc9e19fc53382a8 | [
"MIT"
] | null | null | null | Code/stacks-and-queues/reverse.py | lukeaparker/CS1.3-Data-Struct | 2b09fa95ddb1fd3e21c42ccacdc9e19fc53382a8 | [
"MIT"
] | null | null | null |
input_num = '22235253534090'
reverse(input_num)
| 14.684211 | 28 | 0.569892 |
input_num = '22235253534090'
def reverse(input_num):
stack1 = []
stack2 = []
for i in input_num:
stack1.append(i)
for i in stack1:
pop = stack1.pop()
stack2.insert(0, i)
print(stack2)
return stack2
reverse(input_num)
| 0 | 0 | 0 | 0 | 0 | 195 | 0 | 0 | 23 |
d506975b831bb63cb8084904c0509b92d0510073 | 12,478 | py | Python | research/cv/cct/src/models/cct/cct.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/cct/src/models/cct/cct.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/cct/src/models/cct/cct.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 agreed to... | 25.780992 | 79 | 0.578699 | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 agreed to... | 0 | 0 | 0 | 2,763 | 0 | 0 | 0 | 122 | 112 |
b7bbadbd5e3fea86210ad485005e52358c20ba8f | 2,769 | py | Python | pyproj/utils.py | matthew-brett/pyproj | 5749ae3448041fa2a9e1444ef9d569ae6c2b9976 | [
"MIT"
] | null | null | null | pyproj/utils.py | matthew-brett/pyproj | 5749ae3448041fa2a9e1444ef9d569ae6c2b9976 | [
"MIT"
] | null | null | null | pyproj/utils.py | matthew-brett/pyproj | 5749ae3448041fa2a9e1444ef9d569ae6c2b9976 | [
"MIT"
] | null | null | null | from array import array
def _copytobuffer(x):
"""
return a copy of x as an object that supports the python Buffer
API (python array if input is float, list or tuple, numpy array
if input is a numpy array). returns copyofx, isfloat, islist,
istuple (islist is True if input is a list, istuple is tr... | 34.185185 | 84 | 0.548935 | from array import array
def _copytobuffer_return_scalar(x):
try:
# inx,isfloat,islist,istuple
return array("d", (float(x),)), True, False, False
except:
raise TypeError("input must be an array, list, tuple or scalar")
def _copytobuffer(x):
"""
return a copy of x as an object ... | 0 | 0 | 0 | 0 | 0 | 464 | 0 | 0 | 46 |
b86241b35ed456fca8e62338d08ae2fe58b443e5 | 514 | py | Python | aao/spiders/__init__.py | rkenny2/aao | 57ccba1b833bfbb030616d1c1f69015b7ac65af2 | [
"MIT"
] | 27 | 2018-08-20T09:31:07.000Z | 2022-03-31T06:12:50.000Z | aao/spiders/__init__.py | rkenny2/aao | 57ccba1b833bfbb030616d1c1f69015b7ac65af2 | [
"MIT"
] | null | null | null | aao/spiders/__init__.py | rkenny2/aao | 57ccba1b833bfbb030616d1c1f69015b7ac65af2 | [
"MIT"
] | 4 | 2018-07-15T23:34:02.000Z | 2021-05-28T15:39:47.000Z | import importlib
package = 'aao.spiders.bookmakers'
SpiderBet365 = importlib.import_module(
'.bet365', package).SpiderBet365
SpiderBwin = importlib.import_module(
'.bwin', package).SpiderBwin
Spider888sport = importlib.import_module(
'.888sport', package).Spider888sport
SpiderWilliamhill = importlib.impor... | 25.7 | 46 | 0.743191 | import importlib
package = 'aao.spiders.bookmakers'
SpiderBet365 = importlib.import_module(
'.bet365', package).SpiderBet365
SpiderBwin = importlib.import_module(
'.bwin', package).SpiderBwin
Spider888sport = importlib.import_module(
'.888sport', package).Spider888sport
SpiderWilliamhill = importlib.impor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b23dcf2a889f6d295e096ffba1f1642692453de | 2,279 | py | Python | statsSend/jenkins/jenkinsJob.py | luigiberrettini/build-deploy-stats | 52a0bf5aeb8d2f8ef62e4e836eb0b9874dea500d | [
"MIT"
] | 2 | 2017-07-04T14:30:35.000Z | 2017-07-04T16:04:53.000Z | statsSend/jenkins/jenkinsJob.py | luigiberrettini/build-deploy-stats | 52a0bf5aeb8d2f8ef62e4e836eb0b9874dea500d | [
"MIT"
] | null | null | null | statsSend/jenkins/jenkinsJob.py | luigiberrettini/build-deploy-stats | 52a0bf5aeb8d2f8ef62e4e836eb0b9874dea500d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3 | 36.758065 | 107 | 0.584906 | #!/usr/bin/env python3
from reporting.category import Category
from statsSend.jenkins.jenkinsBuild import JenkinsBuild
class JenkinsJob:
def __init__(self, session, url):
self.session = session
self.url = url
self.builds = []
@property
def id(self):
return '/'.join(self.ur... | 0 | 70 | 628 | 1,439 | 0 | 0 | 0 | 52 | 68 |
a7bd2c4211c196da6104a551e21f6df02b968760 | 6,004 | py | Python | setupsrc/pl_setup/update_pdfium.py | pypdfium2-team/pypdfium2 | 9a1796ba9f058102997652086a48e28af9cd3579 | [
"Apache-2.0",
"BSD-3-Clause"
] | 17 | 2021-12-13T05:36:20.000Z | 2022-03-13T22:56:16.000Z | setupsrc/pl_setup/update_pdfium.py | pypdfium2-team/pypdfium2 | 9a1796ba9f058102997652086a48e28af9cd3579 | [
"Apache-2.0",
"BSD-3-Clause"
] | 51 | 2021-12-04T13:21:35.000Z | 2022-03-28T13:33:29.000Z | setupsrc/pl_setup/update_pdfium.py | pypdfium2-team/pypdfium2 | 9a1796ba9f058102997652086a48e28af9cd3579 | [
"Apache-2.0",
"BSD-3-Clause"
] | 2 | 2022-02-01T22:56:47.000Z | 2022-03-16T13:26:35.000Z | #! /usr/bin/env python3
# SPDX-FileCopyrightText: 2022 geisserml <geisserml@gmail.com>
# SPDX-License-Identifier: Apache-2.0 OR BSD-3-Clause
# Download the PDFium binaries and generate ctypes bindings
import sys
from os.path import abspath, dirname
sys.path.insert(0, dirname(dirname(abspath(__file__))))
from pl_setup... | 29.004831 | 106 | 0.650067 | #! /usr/bin/env python3
# SPDX-FileCopyrightText: 2022 geisserml <geisserml@gmail.com>
# SPDX-License-Identifier: Apache-2.0 OR BSD-3-Clause
# Download the PDFium binaries and generate ctypes bindings
import os
import sys
import shutil
import tarfile
import argparse
import traceback
from urllib import request
from os... | 0 | 0 | 0 | 0 | 0 | 4,326 | 0 | 90 | 408 |
55f548e6457977df06ca2f504c649c7bb491fcb8 | 217 | py | Python | gin/i_o/test/test_create_dataset_from_smiles.py | choderalab/gin | 9082431d8b664699a898c1e2fa490a18737d6e2d | [
"MIT"
] | 24 | 2019-07-20T22:37:09.000Z | 2021-07-07T07:13:56.000Z | gin/i_o/test/test_create_dataset_from_smiles.py | choderalab/gin | 9082431d8b664699a898c1e2fa490a18737d6e2d | [
"MIT"
] | 3 | 2021-05-10T05:29:59.000Z | 2022-02-10T00:15:05.000Z | gin/i_o/test/test_create_dataset_from_smiles.py | kuano-ai/gimlet | 9082431d8b664699a898c1e2fa490a18737d6e2d | [
"MIT"
] | 8 | 2019-08-09T17:30:20.000Z | 2021-12-01T13:27:46.000Z | from gin.i_o.from_smiles import to_mols
import pandas as pd
df = pd.read_csv('data/delaney-processed.csv')
smiles_array = df[['smiles']].values.flatten()
mols = to_mols(smiles_array)
for mol in mols:
print(mol)
| 21.7 | 46 | 0.741935 | from gin.i_o.from_smiles import to_mols
import pandas as pd
df = pd.read_csv('data/delaney-processed.csv')
smiles_array = df[['smiles']].values.flatten()
mols = to_mols(smiles_array)
for mol in mols:
print(mol)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20c79a53cae917612c347763df25a19850ccdcfb | 981 | py | Python | web/helpdesk/migrations/0008_auto_20170116_1712.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 5 | 2019-03-16T08:26:53.000Z | 2019-11-27T15:42:16.000Z | web/helpdesk/migrations/0008_auto_20170116_1712.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 7 | 2018-09-29T05:08:15.000Z | 2021-06-10T21:35:32.000Z | web/helpdesk/migrations/0008_auto_20170116_1712.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 7 | 2018-09-19T21:11:29.000Z | 2019-11-19T12:46:14.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2017-01-16 17:12
from __future__ import unicode_literals
| 36.333333 | 255 | 0.626911 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2017-01-16 17:12
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('helpdesk', '0007_ticket_submitting_room'),
]
operat... | 0 | 0 | 0 | 770 | 0 | 0 | 0 | 30 | 68 |
4cc04dddb430b232152853948a3923ccef6094d7 | 157 | py | Python | StringCompare.py | shakaka/ExcelReading | 25e26cdd98ee1bc5c9fda24b4b3645b23f0de46e | [
"Apache-2.0"
] | 1 | 2020-08-20T12:44:46.000Z | 2020-08-20T12:44:46.000Z | StringCompare.py | shakaka/ExcelReading | 25e26cdd98ee1bc5c9fda24b4b3645b23f0de46e | [
"Apache-2.0"
] | null | null | null | StringCompare.py | shakaka/ExcelReading | 25e26cdd98ee1bc5c9fda24b4b3645b23f0de46e | [
"Apache-2.0"
] | null | null | null | PhoneDirectory = ['John:009878788677' , 'Jefrey:67654654645' , 'Maria:8787677766']
for entry in PhoneDirectory:
if '7' in entry:
print('yeah')
| 22.428571 | 82 | 0.66879 | PhoneDirectory = ['John:009878788677' , 'Jefrey:67654654645' , 'Maria:8787677766']
for entry in PhoneDirectory:
if '7' in entry:
print('yeah')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b71edf427ff507754fa7cb3b8c604e5c6c67b139 | 2,055 | py | Python | puzzle15/part_two.py | Tomer23/advent-of-code-2021 | 6781616807c9e5910cd4fe512aa9a3a9ec6738e2 | [
"Apache-2.0"
] | null | null | null | puzzle15/part_two.py | Tomer23/advent-of-code-2021 | 6781616807c9e5910cd4fe512aa9a3a9ec6738e2 | [
"Apache-2.0"
] | null | null | null | puzzle15/part_two.py | Tomer23/advent-of-code-2021 | 6781616807c9e5910cd4fe512aa9a3a9ec6738e2 | [
"Apache-2.0"
] | null | null | null | FILENAME = './puzzle15/data/input'
small_cave = []
with open(FILENAME) as file:
for line in file:
small_cave.append([int(x) for x in list(line.strip())])
small_n = len(small_cave)
large_n = small_n * 5
cave = [[ 0 for _ in range(large_n)] for _ in range(large_n)]
for i in range(large_n):
... | 33.145161 | 82 | 0.491971 | FILENAME = './puzzle15/data/input'
small_cave = []
with open(FILENAME) as file:
for line in file:
small_cave.append([int(x) for x in list(line.strip())])
small_n = len(small_cave)
large_n = small_n * 5
cave = [[ 0 for _ in range(large_n)] for _ in range(large_n)]
for i in range(large_n):
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d5ff45542bf2d1b577667a9265c1f9131176d2e | 38 | py | Python | Python/Introduction/Say ''Hello, World!'' With Python/solution.py | TanishqBhargava/HackerRank | a9fd69a19b7cfca864460c1bec63525f4d023e13 | [
"Apache-2.0"
] | 7 | 2020-04-02T16:18:46.000Z | 2021-02-12T14:06:44.000Z | Python/Introduction/Say ''Hello, World!'' With Python/solution.py | hamzaV2000/HackerRank-1 | a9fd69a19b7cfca864460c1bec63525f4d023e13 | [
"Apache-2.0"
] | null | null | null | Python/Introduction/Say ''Hello, World!'' With Python/solution.py | hamzaV2000/HackerRank-1 | a9fd69a19b7cfca864460c1bec63525f4d023e13 | [
"Apache-2.0"
] | 11 | 2020-05-06T08:28:43.000Z | 2021-12-08T17:25:45.000Z | #!/bin/python3
print("Hello, World!") | 12.666667 | 22 | 0.657895 | #!/bin/python3
print("Hello, World!") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3865ef09a643d534599f12dec74093133848f10f | 4,675 | py | Python | freerouting-1-4-4-pm/3-build-distribution-with-jdk-14.py | pierremolinaro/ElCanari | fd9d87cee18ad484da263959a1c08424c7264eaf | [
"MIT"
] | 3 | 2019-12-18T12:47:51.000Z | 2020-12-21T14:07:43.000Z | freerouting-1-4-4-pm/3-build-distribution-with-jdk-14.py | pierremolinaro/ElCanari | fd9d87cee18ad484da263959a1c08424c7264eaf | [
"MIT"
] | 1 | 2018-09-11T09:11:45.000Z | 2018-09-12T12:13:10.000Z | freerouting-1-4-4-pm/3-build-distribution-with-jdk-14.py | pierremolinaro/ElCanari | fd9d87cee18ad484da263959a1c08424c7264eaf | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: UTF-8 -*-
#------------------------------------------------------------------------------
# https://developer.apple.com/library/archive/documentation/Security/Conceptual/CodeSigningGuide/Procedures/Procedures.html
#-------------------------------------------------------------------... | 30.555556 | 147 | 0.543316 | #! /usr/bin/env python
# -*- coding: UTF-8 -*-
#------------------------------------------------------------------------------
# https://developer.apple.com/library/archive/documentation/Security/Conceptual/CodeSigningGuide/Procedures/Procedures.html
#-------------------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 293 | 0 | 12 | 23 |
0bf8e8edc7e5afc247166fdd4df07eace630c1df | 21,091 | py | Python | train_bboxnet.py | alvari1997/cluster_classifier | 36a40631704a4e47fb84cc3f162b7867ef600fbf | [
"MIT"
] | null | null | null | train_bboxnet.py | alvari1997/cluster_classifier | 36a40631704a4e47fb84cc3f162b7867ef600fbf | [
"MIT"
] | null | null | null | train_bboxnet.py | alvari1997/cluster_classifier | 36a40631704a4e47fb84cc3f162b7867ef600fbf | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import os
import random
import torch
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
from pointnet.dataset import BoxDataset
from pointnet.box_model import BoxNet
import numpy as np
import matplotlib.pyplot as plt
import time
from model_... | 39.79434 | 210 | 0.555261 | from __future__ import print_function
import argparse
from cProfile import label
from dis import dis
import os
import random
from socket import MSG_DONTROUTE
from sklearn import cluster
import torch
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
from pointnet.dataset import LidarDataset, B... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 154 |
c890e90a3e98b6bea29fc02df9a08e7506ee1738 | 855 | py | Python | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 141 | 2017-12-12T21:45:53.000Z | 2022-03-25T07:03:39.000Z | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 32 | 2015-10-05T14:09:52.000Z | 2021-05-30T10:28:41.000Z | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 56 | 2015-09-30T05:23:28.000Z | 2022-03-08T07:57:11.000Z | '''
Given a collection of distinct integers, return all possible permutations.
Example:
Input: [1,2,3]
Output:
[
[1,2,3],
[1,3,2],
[2,1,3],
[2,3,1],
[3,1,2],
[3,2,1]
]
'''
| 21.923077 | 74 | 0.48655 | '''
Given a collection of distinct integers, return all possible permutations.
Example:
Input: [1,2,3]
Output:
[
[1,2,3],
[1,3,2],
[2,1,3],
[2,3,1],
[3,1,2],
[3,2,1]
]
'''
class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
def generate_permutation(nums, ret, curr, visited... | 0 | 0 | 0 | 645 | 0 | 0 | 0 | 0 | 23 |
2a67c24d6509b5402887a363e7b1d2d6392f873a | 3,211 | py | Python | src/nn-mnist.py | NormalReedus/cds-visual-analytics | 4c71251dd71f1850fd9b09c494f766bc6125e747 | [
"MIT"
] | null | null | null | src/nn-mnist.py | NormalReedus/cds-visual-analytics | 4c71251dd71f1850fd9b09c494f766bc6125e747 | [
"MIT"
] | null | null | null | src/nn-mnist.py | NormalReedus/cds-visual-analytics | 4c71251dd71f1850fd9b09c494f766bc6125e747 | [
"MIT"
] | null | null | null | import sys
sys.path.append("..")
import argparse
from pathlib import Path
# Import teaching utils
# Import sklearn metrics
if __name__ == '__main__':
parser = argparse.ArgumentParser(description = "train neural network on the full MNIST dataset and view the classifier metrics")
parser.add_argument("-d",... | 38.22619 | 166 | 0.721893 | import os
import sys
sys.path.append("..")
import argparse
from pathlib import Path
# Import teaching utils
import pandas as pd
import numpy as np
from utils.neuralnetwork import NeuralNetwork
# Import sklearn metrics
from sklearn import metrics
from sklearn.datasets import fetch_openml
from sklearn.model_selection i... | 0 | 0 | 0 | 0 | 0 | 2,241 | 0 | 91 | 222 |
8e07f6d0a40c30c1ae062554ab83d36a008a77cc | 1,451 | py | Python | flexneuart/ir_datasets/base.py | gitter-badger/FlexNeuART | f69e5421bdebe9db0d993b5470dace61872f90df | [
"Apache-2.0"
] | 101 | 2020-08-06T07:06:00.000Z | 2022-03-02T15:25:59.000Z | flexneuart/ir_datasets/base.py | gitter-badger/FlexNeuART | f69e5421bdebe9db0d993b5470dace61872f90df | [
"Apache-2.0"
] | 9 | 2020-11-05T23:17:06.000Z | 2021-08-21T06:07:30.000Z | flexneuart/ir_datasets/base.py | gitter-badger/FlexNeuART | f69e5421bdebe9db0d993b5470dace61872f90df | [
"Apache-2.0"
] | 17 | 2020-09-09T22:08:03.000Z | 2022-03-25T09:50:30.000Z | #
# Copyright 2014+ Carnegie Mellon University
#
# 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... | 38.184211 | 92 | 0.680221 | #
# Copyright 2014+ Carnegie Mellon University
#
# 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... | 0 | 0 | 0 | 707 | 0 | 0 | 0 | 0 | 23 |
3e208f6701e2557c8499a4694562c2b1b0ec266b | 1,289 | py | Python | yamlip.py | jjmurre/yamlip | 479c4c7a476a922354191eb3bb2601550784fdbd | [
"MIT"
] | null | null | null | yamlip.py | jjmurre/yamlip | 479c4c7a476a922354191eb3bb2601550784fdbd | [
"MIT"
] | null | null | null | yamlip.py | jjmurre/yamlip | 479c4c7a476a922354191eb3bb2601550784fdbd | [
"MIT"
] | null | null | null | """yamlip - A yaml interpolation tool"""
__version__ = '0.0.1'
__author__ = 'Jan Murre <jan.murre@catalyz.nl>'
__all__ = []
| 26.306122 | 90 | 0.679597 | """yamlip - A yaml interpolation tool"""
__version__ = '0.0.1'
__author__ = 'Jan Murre <jan.murre@catalyz.nl>'
__all__ = []
import functools
from string import Template
from attrdict import AttrDict
import yaml
import click
class DotTemplate(Template):
idpattern = r"[a-z][\.\-_a-z0-9]*"
def rgetattr(obj, init... | 0 | 275 | 0 | 46 | 0 | 646 | 0 | -10 | 203 |
afe5f5cbf718b4ce6119b99515def79331c8a71c | 1,084 | py | Python | datastructure/practice/c7/c_7_39.py | stoneyangxu/python-kata | 979af91c74718a525dcd2a83fe53ec6342af9741 | [
"MIT"
] | null | null | null | datastructure/practice/c7/c_7_39.py | stoneyangxu/python-kata | 979af91c74718a525dcd2a83fe53ec6342af9741 | [
"MIT"
] | null | null | null | datastructure/practice/c7/c_7_39.py | stoneyangxu/python-kata | 979af91c74718a525dcd2a83fe53ec6342af9741 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 21.68 | 57 | 0.640221 | import unittest
from datastructure.links.PositionList import PositionList
class PositionalQueue:
def __init__(self):
self._position_list = PositionList()
def __len__(self):
return len(self._position_list)
def is_empty(self):
return self._position_list.is_empty()
def enqueue(... | 0 | 0 | 0 | 913 | 0 | 0 | 0 | 36 | 68 |
d2bbec169cf1fbb94e5c0ece719624ec9804f905 | 2,166 | py | Python | mergify_engine/tests/unit/rules/test_parser.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/tests/unit/rules/test_parser.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/tests/unit/rules/test_parser.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Copyright 2018 Julien Danjou <jd@mergify.io>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 39.381818 | 85 | 0.545706 | # -*- encoding: utf-8 -*-
#
# Copyright © 2018 Julien Danjou <jd@mergify.io>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 4 | 0 | 0 | 0 | 0 | 1,421 | 0 | 5 | 113 |
fd3666ee0fab2cd9c640657bd1edaac0f3682818 | 10,562 | py | Python | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/beat_histogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/beat_histogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/beat_histogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | import scipy.fftpack
def autocorrelation(signal):
""" this matches Marsyas exactly. """
N = signal.shape[1]
ffts = scipy.fftpack.fft(signal, 2*N, axis=1) / (2*N)
ffts_abs = abs(ffts)
ffts_abs_scaled = ffts_abs**0.5
scratch = (scipy.fftpack.ifft(ffts_abs_scaled, axis=1
).real)*(2*N)
... | 30.703488 | 83 | 0.506249 | import math
import itertools
import operator
import numpy
import pylab
import scipy.fftpack
import overlap
def autocorrelation(signal):
""" this matches Marsyas exactly. """
N = signal.shape[1]
ffts = scipy.fftpack.fft(signal, 2*N, axis=1) / (2*N)
ffts_abs = abs(ffts)
ffts_abs_scaled = ffts_abs**... | 0 | 0 | 0 | 0 | 0 | 9,846 | 0 | -46 | 345 |
6f8a5b379f68a2e3171d1a9f70029cb8a66e0056 | 7,359 | py | Python | brain-bert/utils/utils.py | MrDoghead/brain-commonsense | 8af7ab25d9113c623660e6eb928de0f4a43abd20 | [
"MIT"
] | null | null | null | brain-bert/utils/utils.py | MrDoghead/brain-commonsense | 8af7ab25d9113c623660e6eb928de0f4a43abd20 | [
"MIT"
] | null | null | null | brain-bert/utils/utils.py | MrDoghead/brain-commonsense | 8af7ab25d9113c623660e6eb928de0f4a43abd20 | [
"MIT"
] | null | null | null |
# train/test is the full NLP feature
# train/test_pca is the NLP feature reduced to 10 dimensions via PCA that has been fit on the training data
# feat_dir is the directory where the NLP features are stored
# train_indicator is an array of 0s and 1s indicating whether the word at this index is in the training se... | 38.528796 | 176 | 0.646963 | import numpy as np
from sklearn.decomposition import PCA
from scipy.stats import zscore
import time
import csv
import os
import nibabel
from sklearn.metrics.pairwise import euclidean_distances
from scipy.ndimage.filters import gaussian_filter
from utils.ridge_tools import cross_val_ridge, corr
import time as tm
import... | 0 | 0 | 0 | 0 | 0 | 6,538 | 0 | 60 | 434 |
5bab5badf9683279c88080d58b0c2344b2ed1d22 | 1,344 | py | Python | main.py | GustavoHdezH/Website-Blocker | df6e2bee470399404653274f906e3463afee5f0a | [
"MIT"
] | null | null | null | main.py | GustavoHdezH/Website-Blocker | df6e2bee470399404653274f906e3463afee5f0a | [
"MIT"
] | null | null | null | main.py | GustavoHdezH/Website-Blocker | df6e2bee470399404653274f906e3463afee5f0a | [
"MIT"
] | null | null | null | import time
from datetime import datetime as dt
"""
host files for windows windows c:\windows\system32\drivers\etc
host files for linux & Mac /ect/hosts
"""
# list paths
hosts_path_system = r"C:\Windows\System32\drivers\etc\hosts"
host_dir = hosts_path_system
#host_dir = "hosts" local
redir = "127.0.0.1"
# ... | 31.255814 | 136 | 0.58631 | import time
from datetime import datetime as dt
"""
host files for windows windows c:\windows\system32\drivers\etc
host files for linux & Mac /ect/hosts
"""
# list paths
hosts_path_system = r"C:\Windows\System32\drivers\etc\hosts"
host_dir = hosts_path_system
#host_dir = "hosts" local
redir = "127.0.0.1"
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d9cd1da08e71c31b14ac37edb655f6ce2477eb27 | 2,731 | py | Python | cifar10.py | moskomule/sam.pytorch | 766a038e9ece49fcf74283b309a377bc95054197 | [
"MIT"
] | 101 | 2020-12-30T07:31:33.000Z | 2022-03-30T08:22:39.000Z | cifar10.py | moskomule/sam.pytorch | 766a038e9ece49fcf74283b309a377bc95054197 | [
"MIT"
] | 1 | 2021-04-05T19:57:14.000Z | 2021-04-15T01:40:01.000Z | cifar10.py | moskomule/sam.pytorch | 766a038e9ece49fcf74283b309a377bc95054197 | [
"MIT"
] | 10 | 2020-12-31T02:43:10.000Z | 2022-03-27T10:02:34.000Z |
if __name__ == '__main__':
main()
| 29.365591 | 107 | 0.633834 | from functools import partial
from typing import Tuple
import chika
import homura
import torch
import torch.nn.functional as F
from homura import lr_scheduler, reporters, trainers
from homura.vision import DATASET_REGISTRY, MODEL_REGISTRY
from sam import SAMSGD as _SAMSGD
def SAM(lr=1e-1, momentum=0.0, dampening=0.... | 0 | 559 | 0 | 521 | 0 | 1,192 | 0 | 75 | 338 |
076ca4822407724857fe3e31d79539177654a693 | 16,470 | py | Python | app/admin/views.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 11 | 2017-08-23T17:41:43.000Z | 2018-10-24T03:00:38.000Z | app/admin/views.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 480 | 2017-07-14T00:29:11.000Z | 2020-01-06T19:04:51.000Z | app/admin/views.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 22 | 2017-07-07T00:07:32.000Z | 2020-02-27T19:43:14.000Z | from .. import db
| 33.47561 | 109 | 0.613236 | import csv
import io
from flask import (
current_app,
flash,
redirect,
render_template,
request,
Response,
url_for,
)
from flask_login import current_user
from . import admin_bp
from .forms import (
CancelCarpoolAdminForm,
DeleteDestinationForm,
DestinationForm,
ProfilePurgeF... | 0 | 14,577 | 0 | 0 | 0 | 844 | 0 | 381 | 634 |
e8764ac8179743789cb0b11839a0841f88bd1b2f | 3,914 | py | Python | experiments/tune_plot.py | trangnv/geb-simulations-h20 | df86e1ad1ff8e98cf2c3f6025d1626d260a3b125 | [
"MIT"
] | 7 | 2021-08-31T13:11:51.000Z | 2022-02-10T09:05:16.000Z | experiments/tune_plot.py | trangnv/geb-simulations-h20 | df86e1ad1ff8e98cf2c3f6025d1626d260a3b125 | [
"MIT"
] | null | null | null | experiments/tune_plot.py | trangnv/geb-simulations-h20 | df86e1ad1ff8e98cf2c3f6025d1626d260a3b125 | [
"MIT"
] | 8 | 2021-09-03T08:29:09.000Z | 2021-12-04T04:20:49.000Z | import sys
import os
import json
import glob
import plotly
import plotly.graph_objs as go
if len(sys.argv) != 2:
print("Usage: python tune_plot.py <result_dir>")
print("Example: python tune_pot.py ~/ray_results/objective_mean_2021-04-08_00-07-44/")
result_dir = sys.argv[1]
tune_run = os.path.basename(os.path... | 36.240741 | 120 | 0.468574 | import sys
import os
import json
import glob
import pandas as pd
import plotly
import plotly.graph_objs as go
if len(sys.argv) != 2:
print("Usage: python tune_plot.py <result_dir>")
print("Example: python tune_pot.py ~/ray_results/objective_mean_2021-04-08_00-07-44/")
result_dir = sys.argv[1]
tune_run = os.p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
017188de41467f7e7a397c25e24bc966ad998367 | 3,052 | py | Python | Pytorch/softmaxMnist.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | 11 | 2018-03-18T11:06:59.000Z | 2020-02-23T03:24:43.000Z | Pytorch/softmaxMnist.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | null | null | null | Pytorch/softmaxMnist.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | 4 | 2018-03-28T13:04:26.000Z | 2019-05-29T05:49:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File NamesoftmaxMnist
Description : mnist data sets, softmax model
pytorch one-hot ,
Email : autuanliu@163.com
Date18-1-16
"""
import torch.nn as nn
import torch.optim as optim
#
if __name__ == ... | 33.538462 | 130 | 0.6173 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name：softmaxMnist
Description : mnist data sets, softmax model
pytorch 不需要进行 one-hot 编码, 使用类别即可
Email : autuanliu@163.com
Date：18-1-16
"""
import torch.nn as nn
import torch.optim as optim
from torch... | 117 | 0 | 0 | 505 | 0 | 1,436 | 0 | 85 | 201 |
ec134e9600b59b28012e9fd74a0fe7281e79c18f | 477 | py | Python | 01-basics/04-singlebyte-xor-detect.py | DavidBuchanan314/cryptopals-python3 | fe53fb1d324639193451e11d2d93cb251bce3021 | [
"MIT"
] | null | null | null | 01-basics/04-singlebyte-xor-detect.py | DavidBuchanan314/cryptopals-python3 | fe53fb1d324639193451e11d2d93cb251bce3021 | [
"MIT"
] | null | null | null | 01-basics/04-singlebyte-xor-detect.py | DavidBuchanan314/cryptopals-python3 | fe53fb1d324639193451e11d2d93cb251bce3021 | [
"MIT"
] | null | null | null | from sys import path; path += [".", ".."] # hacky...
if __name__ == "__main__":
ciphertexts = map(dehex, load_data("4.txt").split("\n"))
keyspace = list(range(0x100))
plaintexts = reduce(op.add, [
[xor(ct, [key]) for key in keyspace]
for ct in ciphertexts
])
best_plaintext = min(plaintexts, key=englishnes... | 26.5 | 69 | 0.666667 | from sys import path; path += [".", ".."] # hacky...
from utils import *
if __name__ == "__main__":
ciphertexts = map(dehex, load_data("4.txt").split("\n"))
keyspace = list(range(0x100))
plaintexts = reduce(op.add, [
[xor(ct, [key]) for key in keyspace]
for ct in ciphertexts
])
best_plaintext = min(plaint... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
2f7f32685db80a3f2be2e3f54150ebbe5f582daf | 3,211 | py | Python | packages/sdk/tests/local/test_local_packaging.py | odahu/odahuflow | 58c3220a266a61bb893cf79c4b994569e3445097 | [
"ECL-2.0",
"Apache-2.0"
] | 12 | 2020-10-13T15:39:52.000Z | 2021-10-11T17:13:42.000Z | packages/sdk/tests/local/test_local_packaging.py | odahu/odahuflow | 58c3220a266a61bb893cf79c4b994569e3445097 | [
"ECL-2.0",
"Apache-2.0"
] | 475 | 2019-11-18T12:40:47.000Z | 2022-03-29T21:17:38.000Z | packages/sdk/tests/local/test_local_packaging.py | odahu/odahuflow | 58c3220a266a61bb893cf79c4b994569e3445097 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2020-02-25T11:26:10.000Z | 2021-03-10T12:01:00.000Z | # Copyright 2020 EPAM Systems
#
# 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 agreed to in wri... | 40.1375 | 113 | 0.730925 | # Copyright 2020 EPAM Systems
#
# 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 agreed to in wri... | 0 | 1,834 | 0 | 0 | 0 | 0 | 0 | 143 | 201 |
7b37bde3bf4c1a3743a3ed4fb7e54c5990ae1044 | 9,597 | py | Python | properties/migrations/0007_auto_20200629_2225.py | Zayanto/Protocol-CRM | c81489d69de581d8216e20f7dd80089116f85c7b | [
"MIT"
] | null | null | null | properties/migrations/0007_auto_20200629_2225.py | Zayanto/Protocol-CRM | c81489d69de581d8216e20f7dd80089116f85c7b | [
"MIT"
] | null | null | null | properties/migrations/0007_auto_20200629_2225.py | Zayanto/Protocol-CRM | c81489d69de581d8216e20f7dd80089116f85c7b | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-06-29 22:25
| 40.838298 | 263 | 0.550068 | # Generated by Django 3.0.7 on 2020-06-29 22:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('properties', '0006_remove_property_location'),
]
operations = [
migrations.CreateModel(
name='StageBuying',
fields=[... | 0 | 0 | 0 | 9,483 | 0 | 0 | 0 | 19 | 46 |
228a1835d7d8c0c4561e9b598ae0cb4c389c7e67 | 2,749 | py | Python | ros/src/twist_controller/twist_controller.py | Benson516/CarND-Capstone | 6f54bb59e81ce69f1ad1c011ecb73509b8f04c61 | [
"MIT"
] | null | null | null | ros/src/twist_controller/twist_controller.py | Benson516/CarND-Capstone | 6f54bb59e81ce69f1ad1c011ecb73509b8f04c61 | [
"MIT"
] | null | null | null | ros/src/twist_controller/twist_controller.py | Benson516/CarND-Capstone | 6f54bb59e81ce69f1ad1c011ecb73509b8f04c61 | [
"MIT"
] | null | null | null |
GAS_DENSITY = 2.858
ONE_MPH = 0.44704
| 31.965116 | 89 | 0.548927 | import rospy
from yaw_controller import YawController
from lowpass import LowPassFilter
from pid import PID
GAS_DENSITY = 2.858
ONE_MPH = 0.44704
class Controller(object):
def __init__(self, param_dict):
# TODO: Implement
self.yaw_controller = YawController(param_dict["wheel_base"],
... | 0 | 0 | 0 | 2,575 | 0 | 0 | 0 | 20 | 111 |
a3ae640f8a79b4b5a07050634a3c386363a3bf3c | 1,011 | py | Python | tests/unit/test_api.py | staticdev/github3.py | b9af598dcf1771c083dcc512a2aa8e5008bf4ea8 | [
"MIT"
] | null | null | null | tests/unit/test_api.py | staticdev/github3.py | b9af598dcf1771c083dcc512a2aa8e5008bf4ea8 | [
"MIT"
] | 32 | 2021-02-17T19:46:21.000Z | 2021-05-12T05:56:03.000Z | tests/unit/test_api.py | staticdev/github3.py | b9af598dcf1771c083dcc512a2aa8e5008bf4ea8 | [
"MIT"
] | null | null | null | """Unit tests for github4.api."""
| 37.444444 | 84 | 0.65183 | """Unit tests for github4.api."""
import unittest.mock
import github4
class TestAPI(unittest.TestCase):
"""All tests for the github4.api module."""
def test_enterprise_login(self):
"""Show that github4.enterprise_login returns GitHubEnterprise."""
args = ("login", "password", None, "https:/... | 0 | 0 | 0 | 916 | 0 | 0 | 0 | -8 | 68 |
fa64022251c523bf266eb1aed5874bafa1bed4a3 | 4,880 | py | Python | tests/test_api.py | filepreviews/filepreviews-python | eb50d527a8f1a2942f1be2c2bc057b5da4879ecd | [
"MIT"
] | 4 | 2017-01-24T17:03:34.000Z | 2021-09-05T15:08:27.000Z | tests/test_api.py | filepreviews/filepreviews-python | eb50d527a8f1a2942f1be2c2bc057b5da4879ecd | [
"MIT"
] | 1 | 2021-05-15T22:10:20.000Z | 2021-05-15T22:10:20.000Z | tests/test_api.py | filepreviews/filepreviews-python | eb50d527a8f1a2942f1be2c2bc057b5da4879ecd | [
"MIT"
] | 2 | 2017-02-14T08:02:55.000Z | 2020-12-05T13:17:25.000Z |
from filepreviews import FilePreviews
file_previews = FilePreviews(api_key="DUMMY_API_KEY", api_secret="DUMMY_SECRET_KEY")
| 27.727273 | 88 | 0.545697 | import json
import pytest
import responses
from filepreviews import API_URL, FilePreviews, exceptions
file_previews = FilePreviews(api_key="DUMMY_API_KEY", api_secret="DUMMY_SECRET_KEY")
@responses.activate
def test_api_generate():
def request_callback(request):
body = {
"id": "1",
... | 0 | 4,570 | 0 | 0 | 0 | 0 | 0 | -2 | 182 |
10f9f5f2bc5a39c36c0807c9975bf5bc17848bc0 | 23,845 | py | Python | ai.py | mandaw2014/Rally | cafc12aff75bf1a158753d08ae36eb4056dcb1e0 | [
"MIT"
] | 1 | 2022-03-28T01:18:31.000Z | 2022-03-28T01:18:31.000Z | ai.py | mandaw2014/Rally | cafc12aff75bf1a158753d08ae36eb4056dcb1e0 | [
"MIT"
] | null | null | null | ai.py | mandaw2014/Rally | cafc12aff75bf1a158753d08ae36eb4056dcb1e0 | [
"MIT"
] | 1 | 2022-03-17T22:26:20.000Z | 2022-03-17T22:26:20.000Z |
sign = lambda x: -1 if x < 0 else (1 if x > 0 else 0) | 71.392216 | 1,156 | 0.625708 | from ursina import *
from ursina import curve
from particles import ParticleSystem
sign = lambda x: -1 if x < 0 else (1 if x > 0 else 0)
class AICar(Entity):
def __init__(self, car, sand_track, grass_track, snow_track, plains_track):
super().__init__(
model = "car.obj",
position = ... | 0 | 0 | 0 | 23,662 | 0 | 0 | 0 | 17 | 112 |
c2d338e18b66c01319cc8393b1f86d815804b2e7 | 2,791 | py | Python | parlai/agents/programr/robot/sentimentdata.py | roholazandie/ParlAI | 32352cab81ecb666aefd596232c5ed9f33cbaeb9 | [
"MIT"
] | null | null | null | parlai/agents/programr/robot/sentimentdata.py | roholazandie/ParlAI | 32352cab81ecb666aefd596232c5ed9f33cbaeb9 | [
"MIT"
] | null | null | null | parlai/agents/programr/robot/sentimentdata.py | roholazandie/ParlAI | 32352cab81ecb666aefd596232c5ed9f33cbaeb9 | [
"MIT"
] | null | null | null |
DISTRIBUTION_SIZE = 10
NEGATIVE_THRESHOLD = -2.5
| 32.453488 | 95 | 0.60301 | import numpy as np
DISTRIBUTION_SIZE = 10
NEGATIVE_THRESHOLD = -2.5
class SentimentData():
def __init__(self):
self._sentiment_values = np.zeros(DISTRIBUTION_SIZE)
self._rolling_sentiment = 0
self._neg_thresh = NEGATIVE_THRESHOLD
self._threshold_reached = False
self.init_... | 0 | 234 | 0 | 2,465 | 0 | 0 | 0 | -3 | 45 |
9fb8bf70fcac7fc0e1d816b67d336fa1321bc8ed | 18,032 | py | Python | rlkit/torch/irl/disc_models/other_v1p0_disc_models.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 56 | 2019-10-20T03:09:02.000Z | 2022-03-25T09:21:40.000Z | rlkit/torch/irl/disc_models/other_v1p0_disc_models.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 3 | 2020-10-01T07:33:51.000Z | 2021-05-12T03:40:57.000Z | rlkit/torch/irl/disc_models/other_v1p0_disc_models.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 10 | 2019-11-04T16:56:09.000Z | 2022-03-25T09:21:41.000Z | import torch.nn as nn
| 34.281369 | 113 | 0.609306 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from rlkit.torch.core import PyTorchModule
from rlkit.torch.networks import Mlp, identity
from rlkit.torch import pytorch_util as ptu
from copy import deepcopy
class ThreeWayResNetAIRLDisc(ResNetAIRLDisc):
def... | 0 | 0 | 0 | 17,527 | 0 | 0 | 0 | 87 | 386 |
3f4e80a85e1b0df0823521f49e0f3c23eaa69849 | 1,461 | py | Python | bin/Archive/read.json.py | rubenchazarra/AS_Function_Evaluator | 5942d074fb03726fe539f8ecf37db09f8132922e | [
"MIT"
] | null | null | null | bin/Archive/read.json.py | rubenchazarra/AS_Function_Evaluator | 5942d074fb03726fe539f8ecf37db09f8132922e | [
"MIT"
] | null | null | null | bin/Archive/read.json.py | rubenchazarra/AS_Function_Evaluator | 5942d074fb03726fe539f8ecf37db09f8132922e | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 20.871429 | 117 | 0.499658 |
import argparse
import sys
import json
def main():
global args
global json_file
parser = argparse.ArgumentParser()
parser.add_argument('-json_file', metavar='<json_file>', dest="json_file", help="JSON file output by PFAM database")
args = parser.parse_args()
## Prep global objects
json_file = str(args.... | 0 | 0 | 0 | 0 | 0 | 1,357 | 0 | -27 | 90 |
cc9098ccaf76a651fffae1eccde9e2b362f7b70a | 433 | py | Python | passing_numpy_array/setup.py | JFeaux/cython_demo | 5be2db83fb2c4c948d8c0f26dee578798202e94f | [
"MIT"
] | 1 | 2019-04-23T03:09:39.000Z | 2019-04-23T03:09:39.000Z | passing_numpy_array/setup.py | JFeaux/cython_demo | 5be2db83fb2c4c948d8c0f26dee578798202e94f | [
"MIT"
] | null | null | null | passing_numpy_array/setup.py | JFeaux/cython_demo | 5be2db83fb2c4c948d8c0f26dee578798202e94f | [
"MIT"
] | null | null | null | from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np
sourcefiles = ['array_tools.pyx', '_sum.cpp']
extra_compile_args = []
libraries = []
ext = [Extension('*',
sourcefiles,
extra_compile_args=extra_compile_args,
libr... | 22.789474 | 66 | 0.690531 | from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np
sourcefiles = ['array_tools.pyx', '_sum.cpp']
extra_compile_args = []
libraries = []
ext = [Extension('*',
sourcefiles,
extra_compile_args=extra_compile_args,
libr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd5ab117d585128256e9f43687b2f40ea381e07b | 1,691 | py | Python | omc_python_app/views.py | Hooker41/Exchange-Trading-Order-Management-Tool | d7f6878655f0fe08c15b6d2b0b5b0db487b97430 | [
"MIT"
] | null | null | null | omc_python_app/views.py | Hooker41/Exchange-Trading-Order-Management-Tool | d7f6878655f0fe08c15b6d2b0b5b0db487b97430 | [
"MIT"
] | null | null | null | omc_python_app/views.py | Hooker41/Exchange-Trading-Order-Management-Tool | d7f6878655f0fe08c15b6d2b0b5b0db487b97430 | [
"MIT"
] | null | null | null |
# Create your views here.
exchangeIns = {}
| 27.721311 | 99 | 0.691307 | from django.shortcuts import render
from django.views.generic import TemplateView
from django.http import HttpResponse, JsonResponse, HttpResponseForbidden, HttpResponseBadRequest
import ccxt
# Create your views here.
def getExchanges(request):
exchangeName = request.GET["exchange"]
print(exchangeName)
... | 0 | 0 | 0 | 0 | 0 | 1,361 | 0 | 104 | 180 |
b5da938235e6816cfd761ec8546d351be3bd180e | 30 | py | Python | lib/python3.4/tokenize.py | caiocsalvador/whats_the_craic | c49ef62f1acd7379f6fd90c2b93aa1fa00c8661d | [
"MIT"
] | 7 | 2017-04-26T12:28:22.000Z | 2021-02-09T18:59:50.000Z | django-ng/lib/python3.4/tokenize.py | Arsalen/BusinessStrategies | 209e57340359af3ea063c064982198848dc36c5f | [
"MIT"
] | 13 | 2015-12-04T03:38:37.000Z | 2015-12-12T00:15:46.000Z | django-ng/lib/python3.4/tokenize.py | Arsalen/BusinessStrategies | 209e57340359af3ea063c064982198848dc36c5f | [
"MIT"
] | 8 | 2017-06-01T08:42:16.000Z | 2020-07-23T12:30:19.000Z | /usr/lib/python3.4/tokenize.py | 30 | 30 | 0.8 | /usr/lib/python3.4/tokenize.py | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
683aaa70f4e21185ee6a7cdb4a48ac989e06ef19 | 1,954 | py | Python | core/polyaxon/polypod/compiler/resolver/resolver.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/polypod/compiler/resolver/resolver.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/polypod/compiler/resolver/resolver.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2020 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 31.015873 | 98 | 0.701126 | #!/usr/bin/python
#
# Copyright 2018-2020 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 0 | 0 | 0 | 0 | 0 | 1,092 | 0 | 123 | 134 |
37832db13561a35be24cf2bec836422c123e4278 | 7,192 | py | Python | fuzzers/030-iob/process_rdb.py | rw1nkler/prjxray | aff076b47dcf6d653eb3ce791b41fd6cf4343edd | [
"ISC"
] | 1 | 2021-12-16T03:09:59.000Z | 2021-12-16T03:09:59.000Z | fuzzers/030-iob/process_rdb.py | rw1nkler/prjxray | aff076b47dcf6d653eb3ce791b41fd6cf4343edd | [
"ISC"
] | null | null | null | fuzzers/030-iob/process_rdb.py | rw1nkler/prjxray | aff076b47dcf6d653eb3ce791b41fd6cf4343edd | [
"ISC"
] | 1 | 2020-11-10T01:57:12.000Z | 2020-11-10T01:57:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017-2020 The Project X-Ray Authors.
#
# Use of this source code is governed by a ISC-style
# license that can be found in the LICENSE file or at
# https://opensource.org/licenses/ISC
#
# SPDX-License-Identifier: ISC
""" IOB bits are more complicated tha... | 32.107143 | 82 | 0.525028 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017-2020 The Project X-Ray Authors.
#
# Use of this source code is governed by a ISC-style
# license that can be found in the LICENSE file or at
# https://opensource.org/licenses/ISC
#
# SPDX-License-Identifier: ISC
""" IOB bits are more complicated tha... | 0 | 0 | 0 | 0 | 693 | 5,648 | 0 | -6 | 137 |
26b0f3e5bae776ac1dad54c81206538a9984b7fb | 2,175 | py | Python | pset8/mashup/helpers.py | Star1111/cs50 | 0ef91b4558e4e080512045cb5035ecf9f9294047 | [
"Unlicense"
] | 2 | 2020-11-03T08:31:31.000Z | 2021-03-20T16:40:34.000Z | pset8/mashup/helpers.py | Star1111/cs50 | 0ef91b4558e4e080512045cb5035ecf9f9294047 | [
"Unlicense"
] | null | null | null | pset8/mashup/helpers.py | Star1111/cs50 | 0ef91b4558e4e080512045cb5035ecf9f9294047 | [
"Unlicense"
] | null | null | null | import feedparser
import urllib.parse
from random import shuffle, seed
UKR_NEWS = ["https://news.yandex.ua/index.rss", "http://www.ukr-portal.com/php/rss_1.xml", "http://news.finance.ua/ru/rss", "http://www.ua.rian.ru/export/rss2/index.xml", "http://feeds.feedburner.com/zaxid/rss_ua", "http://www.dt.ua/export.rss", "h... | 35.655738 | 302 | 0.581149 | import feedparser
import urllib.parse
from random import shuffle, seed
UKR_NEWS = ["https://news.yandex.ua/index.rss", "http://www.ukr-portal.com/php/rss_1.xml", "http://news.finance.ua/ru/rss", "http://www.ua.rian.ru/export/rss2/index.xml", "http://feeds.feedburner.com/zaxid/rss_ua", "http://www.dt.ua/export.rss", "h... | 52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
51d1b802f5cf738b16c5ae33596de8b712c69625 | 12,438 | py | Python | md.py | dormrod/molecular_dynamics_300_lines | 4c0993436af0d048fb0ccf56416156a3ff9575dc | [
"MIT"
] | 1 | 2021-11-28T03:50:43.000Z | 2021-11-28T03:50:43.000Z | md.py | dormrod/molecular_dynamics_300_lines | 4c0993436af0d048fb0ccf56416156a3ff9575dc | [
"MIT"
] | null | null | null | md.py | dormrod/molecular_dynamics_300_lines | 4c0993436af0d048fb0ccf56416156a3ff9575dc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Single Molecule Molecular Dynamics Code
Created 2018 by David of Theoretically Speaking
Please Modify!
"""
from __future__ import print_function
import os
import sys
import numpy as np
# Global variables for unit conversions
hartree = 4.35974465e-18 # J, atomic unit of energy
emass = 5.... | 41.46 | 136 | 0.659752 | # -*- coding: utf-8 -*-
"""
Single Molecule Molecular Dynamics Code
Created 2018 by David of Theoretically Speaking
Please Modify!
"""
from __future__ import print_function
import os
import sys
import numpy as np
# Global variables for unit conversions
hartree = 4.35974465e-18 # J, atomic unit of energy
emass = 5.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c6bf3b641e19bfc1b8c5b7ba9cc7a8c661082f1 | 385 | py | Python | arcade_solutions/the_core/minimal_number_of_coins.py | nickaigi/automatic-dollop | eb8222475c7871c1d5710242c5aed8c70ea0d2c8 | [
"Unlicense"
] | null | null | null | arcade_solutions/the_core/minimal_number_of_coins.py | nickaigi/automatic-dollop | eb8222475c7871c1d5710242c5aed8c70ea0d2c8 | [
"Unlicense"
] | null | null | null | arcade_solutions/the_core/minimal_number_of_coins.py | nickaigi/automatic-dollop | eb8222475c7871c1d5710242c5aed8c70ea0d2c8 | [
"Unlicense"
] | null | null | null |
if __name__ == '__main__':
coins = [1, 2, 10]
price = 28
print(minimal_number_of_coins(coins, price))
| 20.263158 | 48 | 0.532468 | def minimal_number_of_coins(coins, price):
bal = price
index = len(coins)
count = 0
while bal > 0:
if bal >= max(coins[:index]):
bal -= max(coins[:index])
count += 1
else:
index -= 1
return count
if __name__ == '__main__':
coins = [1, 2, 10]... | 0 | 0 | 0 | 0 | 0 | 246 | 0 | 0 | 22 |
da55e0f85c135dc0582e1cec208f874daa211773 | 129 | py | Python | pokemon/001bulbasaur.py | julio177/ascii-pokedex | 2727d3f3257abd746300248ae75e11cae2c40ea3 | [
"MIT"
] | null | null | null | pokemon/001bulbasaur.py | julio177/ascii-pokedex | 2727d3f3257abd746300248ae75e11cae2c40ea3 | [
"MIT"
] | null | null | null | pokemon/001bulbasaur.py | julio177/ascii-pokedex | 2727d3f3257abd746300248ae75e11cae2c40ea3 | [
"MIT"
] | null | null | null | '''Bulbasaur, Ivysaur and Venusaur'''
from __init__ import Pokemon
Bulbasaur = Pokemon('generation_1/001.txt')
print(Bulbasaur)
| 21.5 | 43 | 0.775194 | '''Bulbasaur, Ivysaur and Venusaur'''
from __init__ import Pokemon
Bulbasaur = Pokemon('generation_1/001.txt')
print(Bulbasaur)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4d5ea548eddd8bc8ca4e3717d9cb16eda6b1c591 | 951 | py | Python | leetcode/207.course-schedule.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | leetcode/207.course-schedule.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | leetcode/207.course-schedule.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=207 lang=python3
#
# [207] Course Schedule
#
# @lc code=start
# @lc code=end
| 19.8125 | 81 | 0.466877 | #
# @lc app=leetcode id=207 lang=python3
#
# [207] Course Schedule
#
# @lc code=start
class Solution:
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
graph = collections.defaultdict(list)
# make graph
for x, y in prerequisites:
graph[x].append(y)
... | 105 | 0 | 0 | 790 | 0 | 0 | 0 | 0 | 22 |
6a1b221b40ffc1a9f30f8e3c2ffc4fc69bcecad8 | 9,313 | py | Python | tests/test_security.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 199 | 2017-08-24T12:19:41.000Z | 2022-03-20T14:50:17.000Z | tests/test_security.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 275 | 2017-08-28T21:21:49.000Z | 2022-03-29T17:57:26.000Z | tests/test_security.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 73 | 2017-09-07T10:13:56.000Z | 2022-02-28T10:37:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for nipyapi security module."""
from __future__ import absolute_import
import pytest
from tests import conftest
# Tells pytest to skip this module of security testing is not enabled.
pytestmark = pytest.mark.skipif(not conftest.test_security, reason='test_securi... | 35.681992 | 104 | 0.719747 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for nipyapi security module."""
from __future__ import absolute_import
import pytest
from tests import conftest
import nipyapi
# Tells pytest to skip this module of security testing is not enabled.
pytestmark = pytest.mark.skipif(not conftest.test_security, reas... | 0 | 0 | 0 | 0 | 0 | 8,130 | 0 | -7 | 459 |
1a733cf776ecb3c6b1ac3142642e6e5092c63616 | 3,038 | py | Python | gettingstarted/urls.py | TomWerner/AlumniMentoring | d4bac09fc768232f0795a0672eb041a2225118ae | [
"MIT"
] | 2 | 2016-10-19T17:04:53.000Z | 2017-07-23T21:49:34.000Z | gettingstarted/urls.py | TomWerner/AlumniMentoring | d4bac09fc768232f0795a0672eb041a2225118ae | [
"MIT"
] | null | null | null | gettingstarted/urls.py | TomWerner/AlumniMentoring | d4bac09fc768232f0795a0672eb041a2225118ae | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.contrib import admin
from django.views.generic import RedirectView
admin.autodiscover()
import django.contrib.auth.views
from mentoring.views import views
from mentoring.views import honors_admin
# Examples:
# url(r'^$', 'gettingstarted.views.home', name='home'),
# url(r... | 46.738462 | 106 | 0.705069 | from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.auth.forms import UserCreationForm
from django.views.generic import CreateView
from django.views.generic import RedirectView
admin.autodiscover()
from django.conf import settings
from django.conf.urls.static import static
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 89 |
d565975d5c6295b512c456ab9bae2b597eba5e6d | 260 | py | Python | partner_ngos/programs_management/doctype/programs/programs.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | 1 | 2021-06-03T17:14:08.000Z | 2021-06-03T17:14:08.000Z | partner_ngos/programs_management/doctype/programs/programs.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | null | null | null | partner_ngos/programs_management/doctype/programs/programs.py | AkramMutaher/partner_ngos | 4a345fb6989ff5a21db7fca07aa4e5174dca8f59 | [
"MIT"
] | 1 | 2021-10-09T16:20:09.000Z | 2021-10-09T16:20:09.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2020, Akram Mutaher and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
| 23.636364 | 52 | 0.773077 | # -*- coding: utf-8 -*-
# Copyright (c) 2020, Akram Mutaher and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class Programs(Document):
pass
| 0 | 0 | 0 | 10 | 0 | 0 | 0 | 21 | 45 |
37e220aa191b5c091355a0d9f206340516811513 | 1,035 | py | Python | minerals/context_processors.py | mhunterak/TD_Mineral_Catalog | dc76289274b83d44fd76dafb2e734843d11675a0 | [
"MIT"
] | null | null | null | minerals/context_processors.py | mhunterak/TD_Mineral_Catalog | dc76289274b83d44fd76dafb2e734843d11675a0 | [
"MIT"
] | null | null | null | minerals/context_processors.py | mhunterak/TD_Mineral_Catalog | dc76289274b83d44fd76dafb2e734843d11675a0 | [
"MIT"
] | null | null | null | '''
Context Processors do some pretty great work, like default arguments supplied
to templates when they're rendered. kind of like Macros in Flask, but even more
powerful.
'''
import string
from django.utils.datastructures import MultiValueDictKeyError
from .forms import SearchForm
from .static_vars import COLORS, GR... | 24.069767 | 79 | 0.687923 | '''
Context Processors do some pretty great work, like default arguments supplied
to templates when they're rendered. kind of like Macros in Flask, but even more
powerful.
'''
import string
from django.utils.datastructures import MultiValueDictKeyError
from .forms import SearchForm
from .static_vars import COLORS, GR... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fa8f707b07aac17427883b74e5ed9efe4487c86a | 143 | py | Python | pushover/__init__.py | ccoder64/pushover-python | 6be770ecb7d269169718c02c14d9ba35fa0c8715 | [
"MIT"
] | null | null | null | pushover/__init__.py | ccoder64/pushover-python | 6be770ecb7d269169718c02c14d9ba35fa0c8715 | [
"MIT"
] | null | null | null | pushover/__init__.py | ccoder64/pushover-python | 6be770ecb7d269169718c02c14d9ba35fa0c8715 | [
"MIT"
] | null | null | null | """
pushover simple api
~~~~~~~~~~~~~~~~~~~
"""
__author__ = "toloy"
| 13 | 50 | 0.524476 | """
pushover simple api
~~~~~~~~~~~~~~~~~~~
"""
__author__ = "toloy"
from .pushover import Pushover, PushoverException
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 25 |
a7f943ad32a943a1947fc358318e58687aeadc3a | 420 | py | Python | kubernetes_typed/client/models/v1beta1_certificate_signing_request_condition.py | sobolevn/kubernetes-typed | 5f0a770631c73a9831fbeaeebac188e8f4a52c54 | [
"Apache-2.0"
] | 22 | 2020-12-10T13:06:02.000Z | 2022-02-13T21:58:15.000Z | kubernetes_typed/client/models/v1beta1_certificate_signing_request_condition.py | sobolevn/kubernetes-typed | 5f0a770631c73a9831fbeaeebac188e8f4a52c54 | [
"Apache-2.0"
] | 4 | 2021-03-08T07:06:12.000Z | 2022-03-29T23:41:45.000Z | kubernetes_typed/client/models/v1beta1_certificate_signing_request_condition.py | sobolevn/kubernetes-typed | 5f0a770631c73a9831fbeaeebac188e8f4a52c54 | [
"Apache-2.0"
] | 2 | 2021-09-05T19:18:28.000Z | 2022-03-14T02:56:17.000Z | # Code generated by `typeddictgen`. DO NOT EDIT.
"""V1beta1CertificateSigningRequestConditionDict generated type."""
import datetime
from typing import TypedDict
V1beta1CertificateSigningRequestConditionDict = TypedDict(
"V1beta1CertificateSigningRequestConditionDict",
{
"lastUpdateTime": datetime.date... | 26.25 | 67 | 0.709524 | # Code generated by `typeddictgen`. DO NOT EDIT.
"""V1beta1CertificateSigningRequestConditionDict generated type."""
import datetime
from typing import TypedDict
V1beta1CertificateSigningRequestConditionDict = TypedDict(
"V1beta1CertificateSigningRequestConditionDict",
{
"lastUpdateTime": datetime.date... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f0ac79bf020ed55f8efbaf8848de6863288c059a | 5,900 | py | Python | sdk/servicebus/azure-servicebus/tests/perf_tests/_test_base.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/servicebus/azure-servicebus/tests/perf_tests/_test_base.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/servicebus/azure-servicebus/tests/perf_tests/_test_base.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 45.736434 | 181 | 0.685932 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 0 | 1,055 | 1,436 | 2,614 | 0 | 0 | 0 | 217 | 205 |
9c6c38e7013c1655dd41c7d2f0d93f4df08fa931 | 1,652 | py | Python | mandel.py | SalahKouhen/Mandel_surf | 3c2c49085efa190213d782ceba05d40a1dd3e155 | [
"MIT"
] | null | null | null | mandel.py | SalahKouhen/Mandel_surf | 3c2c49085efa190213d782ceba05d40a1dd3e155 | [
"MIT"
] | null | null | null | mandel.py | SalahKouhen/Mandel_surf | 3c2c49085efa190213d782ceba05d40a1dd3e155 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
nx, ny = (1000,1000)
x = np.linspace(-2,1,nx)
y = np.linspace(-1.5,1.5,ny)
X, Y = np.meshgrid(x,y)
cgrid = X + 1j*Y
# For some numbers c doing z^2 + c again and again from 0 will diverge, not for others, plot it to get the mandelbrot set
Z = 0*cgrid
ZC = Z
for i in... | 20.146341 | 121 | 0.62046 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
nx, ny = (1000,1000)
x = np.linspace(-2,1,nx)
y = np.linspace(-1.5,1.5,ny)
X, Y = np.meshgrid(x,y)
cgrid = X + 1j*Y
# For some numbers c doing z^2 + c again and again from 0 will diverge, not for others, plot it to get the mandelbrot set
Z... | 0 | 0 | 0 | 0 | 0 | 538 | 0 | 4 | 45 |
d2a28cf08377e6534f06c4530d85b60c48e5b7d9 | 43 | py | Python | examples/DecryptLoginExamples/crawlers/moocdl/__init__.py | hedou/DecryptLogin | ff86a5d378c8a42d1caebbb7482658a95053f716 | [
"Apache-2.0"
] | null | null | null | examples/DecryptLoginExamples/crawlers/moocdl/__init__.py | hedou/DecryptLogin | ff86a5d378c8a42d1caebbb7482658a95053f716 | [
"Apache-2.0"
] | null | null | null | examples/DecryptLoginExamples/crawlers/moocdl/__init__.py | hedou/DecryptLogin | ff86a5d378c8a42d1caebbb7482658a95053f716 | [
"Apache-2.0"
] | null | null | null | '''initialize''' | 21.5 | 26 | 0.744186 | '''initialize'''
from .moocdl import MOOCDL | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 22 |
bc91e141bb675209d3ac6e0bc451b35ae04e5206 | 150 | py | Python | module2.py | arajajyothibabu/PythonLearning | 53658ba3591e284733ef8a66551dadd515ab8edc | [
"MIT"
] | null | null | null | module2.py | arajajyothibabu/PythonLearning | 53658ba3591e284733ef8a66551dadd515ab8edc | [
"MIT"
] | null | null | null | module2.py | arajajyothibabu/PythonLearning | 53658ba3591e284733ef8a66551dadd515ab8edc | [
"MIT"
] | null | null | null | __author__ = 'Kalyan'
# this is a sample module for the understanding_modules assignment.
| 18.75 | 67 | 0.726667 | __author__ = 'Kalyan'
# this is a sample module for the understanding_modules assignment.
def greet(name):
return "module2 says hi to " + name
| 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 23 |
73f42c1536b7cbae9884bce03cfe3067637e0ad1 | 3,681 | py | Python | get_stock_data.py | jeremychonggg/Alpaca-Trading-Bot | 82df00e327e2e55f5a0cdf85cd950c49c59bf669 | [
"MIT"
] | null | null | null | get_stock_data.py | jeremychonggg/Alpaca-Trading-Bot | 82df00e327e2e55f5a0cdf85cd950c49c59bf669 | [
"MIT"
] | null | null | null | get_stock_data.py | jeremychonggg/Alpaca-Trading-Bot | 82df00e327e2e55f5a0cdf85cd950c49c59bf669 | [
"MIT"
] | null | null | null | import json
import requests
import pandas as pd
# Get Alpaca API Credential
endpoint = "https://data.alpaca.markets/v2"
headers = json.loads(open("key.txt", 'r').read())
def hist_data(symbols, start="2021-01-01", timeframe="1Hour", limit=50, end=""):
"""
returns historical bar data for a stri... | 39.159574 | 115 | 0.551481 | import json
import requests
import pandas as pd
import websocket
# Get Alpaca API Credential
endpoint = "https://data.alpaca.markets/v2"
headers = json.loads(open("key.txt", 'r').read())
def hist_data(symbols, start="2021-01-01", timeframe="1Hour", limit=50, end=""):
"""
returns historical b... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 23 |
0d2ec34acd2b78a28677252958e616fde99ac3d1 | 597 | py | Python | stl_path.py | theodorsm/trex-scripts | 5d12e913c8c725f692d62f7458c1a49fb93d4c5b | [
"MIT"
] | 1 | 2022-02-07T22:02:44.000Z | 2022-02-07T22:02:44.000Z | stl_path.py | theodorsm/trex-scripts | 5d12e913c8c725f692d62f7458c1a49fb93d4c5b | [
"MIT"
] | null | null | null | stl_path.py | theodorsm/trex-scripts | 5d12e913c8c725f692d62f7458c1a49fb93d4c5b | [
"MIT"
] | 2 | 2022-02-07T22:02:45.000Z | 2022-03-11T23:10:33.000Z | import sys, os
from dotenv import dotenv_values
config = dotenv_values(".env")
cur_dir = os.path.dirname(__file__)
trex_path = f"{config['TREX_LOCATION']}/{config['TREX_VERSION']}"
interactive = os.path.abspath(f"{trex_path}/automation/trex_control_plane/interactive")
sys.path.insert(0, os.path.abspath(interactive)... | 35.117647 | 87 | 0.782245 | import sys, os
from dotenv import dotenv_values
config = dotenv_values(".env")
cur_dir = os.path.dirname(__file__)
trex_path = f"{config['TREX_LOCATION']}/{config['TREX_VERSION']}"
interactive = os.path.abspath(f"{trex_path}/automation/trex_control_plane/interactive")
sys.path.insert(0, os.path.abspath(interactive)... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
98da454bb8184e678d9da3b5c4db075b9b0f7815 | 3,237 | py | Python | Examples/PDFTool/DealPdf1_cmd.py | wxh0000mm/TKinterDesigner | 01878e78746082413a09444283edbd52118d15ef | [
"Apache-2.0"
] | 1 | 2022-03-09T08:43:41.000Z | 2022-03-09T08:43:41.000Z | Examples/PDFTool/DealPdf1_cmd.py | wxh0000mm/TKinterDesigner | 01878e78746082413a09444283edbd52118d15ef | [
"Apache-2.0"
] | null | null | null | Examples/PDFTool/DealPdf1_cmd.py | wxh0000mm/TKinterDesigner | 01878e78746082413a09444283edbd52118d15ef | [
"Apache-2.0"
] | null | null | null | #coding=utf-8
import sys
from os.path import abspath, dirname
sys.path.append(abspath(dirname(__file__)))
import tkinter
ElementBGArray={}
ElementBGArray_Resize={}
ElementBGArray_IM={}
| 34.073684 | 94 | 0.621563 | #coding=utf-8
import sys
import os
from os.path import abspath, dirname
sys.path.append(abspath(dirname(__file__)))
import tkinter
import tkinter.filedialog
from tkinter import *
import Fun
ElementBGArray={}
ElementBGArray_Resize={}
ElementBGArray_IM={}
from PyPDF2 import PdfFileReader, PdfFileWriter
def getRan... | 285 | 0 | 0 | 0 | 0 | 2,721 | 0 | 11 | 220 |
5daa7c7b545e3d2dadc43b6d602c383c8384eb54 | 329 | py | Python | game/exceptions.py | ikacikac/mtrix | 9d65ce4f9fb08bf302f3322039eb882e8116890e | [
"MIT"
] | null | null | null | game/exceptions.py | ikacikac/mtrix | 9d65ce4f9fb08bf302f3322039eb882e8116890e | [
"MIT"
] | null | null | null | game/exceptions.py | ikacikac/mtrix | 9d65ce4f9fb08bf302f3322039eb882e8116890e | [
"MIT"
] | null | null | null | # -*- coding: utf8 -*-
| 11.75 | 41 | 0.735562 | # -*- coding: utf8 -*-
class MovementException(Exception):
pass
class RightException(MovementException):
pass
class LeftException(MovementException):
pass
class RotateException(MovementException):
pass
class ColException(MovementException):
pass
class DownException(MovementException):
... | 0 | 0 | 0 | 160 | 0 | 0 | 0 | 0 | 138 |
94a825233662f1870149a97c9267cd1f71508949 | 651 | py | Python | 001_IntroCS/PS2/ps2c.py | PDmatrix/OSSU | dd482b6e4cdbdef5a8897c1b6ef135751681423a | [
"MIT"
] | null | null | null | 001_IntroCS/PS2/ps2c.py | PDmatrix/OSSU | dd482b6e4cdbdef5a8897c1b6ef135751681423a | [
"MIT"
] | null | null | null | 001_IntroCS/PS2/ps2c.py | PDmatrix/OSSU | dd482b6e4cdbdef5a8897c1b6ef135751681423a | [
"MIT"
] | null | null | null | balance = 999999
annualInterestRate = 0.18
monthlyInterestRate = annualInterestRate/12.0
monthlyLower = balance/12
monthlyUpper = (balance * (1+monthlyInterestRate)**12)/12.0
while True:
updatedBalance = balance
for i in range(12):
payment = (monthlyUpper + monthlyLower)/2.0
monthlyUnp... | 31 | 90 | 0.691244 | balance = 999999
annualInterestRate = 0.18
monthlyInterestRate = annualInterestRate/12.0
monthlyLower = balance/12
monthlyUpper = (balance * (1+monthlyInterestRate)**12)/12.0
while True:
updatedBalance = balance
for i in range(12):
payment = (monthlyUpper + monthlyLower)/2.0
monthlyUnp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b41050b80a9cc015d3baca79949feec94791e99c | 3,959 | py | Python | tests/integration/commands/deploy.py | wilzbach/cli | bac7edb42618f3aeecd81ec80d5bec144fa893c2 | [
"Apache-2.0"
] | null | null | null | tests/integration/commands/deploy.py | wilzbach/cli | bac7edb42618f3aeecd81ec80d5bec144fa893c2 | [
"Apache-2.0"
] | null | null | null | tests/integration/commands/deploy.py | wilzbach/cli | bac7edb42618f3aeecd81ec80d5bec144fa893c2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 37 | 79 | 0.621369 | # -*- coding: utf-8 -*-
import time
from pytest import mark
@mark.parametrize('with_message', [True, False])
@mark.parametrize('hard_deployment', [True, False])
@mark.parametrize('final_release_state', [
'DEPLOYED', 'FAILED', 'UNKNOWN', 'TEMP_DEPLOYMENT_FAILURE'
])
@mark.parametrize('maintenance', [True, False])... | 0 | 3,244 | 0 | 0 | 0 | 606 | 0 | -8 | 91 |
f50846638b0fd8d698d6237e05231b9a37225f4b | 22,357 | py | Python | device.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | device.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | device.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | # coding=UTF-8
"""
--------------------------------------------------------
Copyright (c) ****-2018 ESR, Inc. All rights reserved.
--------------------------------------------------------
Author: Mingdong Zhu
Date: 2019/03/07
Design Name: The user interface of the DDS software
Purpose: Design an UI and test f... | 40.428571 | 902 | 0.538534 | # coding=UTF-8
"""
--------------------------------------------------------
Copyright (c) ****-2018 ESR, Inc. All rights reserved.
--------------------------------------------------------
Author: Mingdong Zhu
Date: 2019/03/07
Design Name: The user interface of the DDS software
Purpose: Design an UI and test f... | 39 | 0 | 0 | 17,612 | 0 | 0 | 0 | -21 | 121 |
5302b93b77e85403459c6d3e9e7609e976336e0b | 403 | py | Python | listings/urls.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 13 | 2015-11-29T12:19:12.000Z | 2021-02-21T15:42:11.000Z | listings/urls.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 23 | 2015-04-29T19:43:34.000Z | 2021-02-10T05:50:17.000Z | listings/urls.py | darkismus/kompassi | 35dea2c7af2857a69cae5c5982b48f01ba56da1f | [
"CC-BY-3.0"
] | 11 | 2015-09-20T18:59:00.000Z | 2020-02-07T08:47:34.000Z | from django.conf.urls import url
from .views import listings_listing_view, listings_api_view
urlpatterns = [
url(
r'^listings/(?P<listing_hostname>[a-z0-9-\.]+)/?$',
listings_listing_view,
name='listings_listing_view',
),
url(
r'^api/v1/listings/(?P<listing_hostname>[a-z0... | 21.210526 | 66 | 0.610422 | from django.conf.urls import url
from .views import listings_listing_view, listings_api_view
urlpatterns = [
url(
r'^listings/(?P<listing_hostname>[a-z0-9-\.]+)/?$',
listings_listing_view,
name='listings_listing_view',
),
url(
r'^api/v1/listings/(?P<listing_hostname>[a-z0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10559bf17d1f5c778b0ad69a4bbaca775ed978fb | 641 | py | Python | code/begin/Session.py | redxyb/Flask | 4ee226501f16eb0fa5cb585dc6bf780005fa8a28 | [
"MIT"
] | null | null | null | code/begin/Session.py | redxyb/Flask | 4ee226501f16eb0fa5cb585dc6bf780005fa8a28 | [
"MIT"
] | null | null | null | code/begin/Session.py | redxyb/Flask | 4ee226501f16eb0fa5cb585dc6bf780005fa8a28 | [
"MIT"
] | null | null | null | '''
Author: xyb
Date: 2020-08-10 18:35:32
LastEditTime: 2020-08-10 18:52:50
'''
from flask import Flask
app = Flask(__name__)
app.secret_key = 'dfslkfjdlfsdkjfnskj' #
#
# class DefaultConfig(object):
# SECRET_KEY = 'dfslkfjdlfsdkjfnskj'
# app.config.from_object(DefaultConfig)
if __name__ == "__main__":
ap... | 21.366667 | 53 | 0.700468 | '''
Author: xyb
Date: 2020-08-10 18:35:32
LastEditTime: 2020-08-10 18:52:50
'''
from flask import Flask, make_response, request
app = Flask(__name__)
app.secret_key = 'dfslkfjdlfsdkjfnskj' #直接设置
#间接设置
# class DefaultConfig(object):
# SECRET_KEY = 'dfslkfjdlfsdkjfnskj'
# app.config.from_object(DefaultConfig)
@ap... | 24 | 204 | 0 | 0 | 0 | 0 | 0 | 24 | 46 |
a20f29e99f0bfe18d2e7d7416b1c44845378a3e2 | 10,451 | py | Python | audio_pipeline/audio_processing/subtitle_utils.py | AlexWimpory/video-caption | 4252835bc69ecb54e6d0e0af49f2e77c76fd78ad | [
"MIT"
] | null | null | null | audio_pipeline/audio_processing/subtitle_utils.py | AlexWimpory/video-caption | 4252835bc69ecb54e6d0e0af49f2e77c76fd78ad | [
"MIT"
] | null | null | null | audio_pipeline/audio_processing/subtitle_utils.py | AlexWimpory/video-caption | 4252835bc69ecb54e6d0e0af49f2e77c76fd78ad | [
"MIT"
] | 1 | 2020-12-02T17:21:12.000Z | 2020-12-02T17:21:12.000Z | import tempfile
from pysubs2 import SSAFile, SSAStyle, Color, SSAEvent, make_time
from audio_pipeline import logging_config
from audio_pipeline.audio_processing.ffmpeg_processor import run_ffmpeg
logger = logging_config.get_logger(__name__)
def _adjust_for_clashing_subs(combined_subs, working_sub, exclude):
"""
... | 36.799296 | 111 | 0.62683 | import tempfile
from pysubs2 import SSAFile, SSAStyle, Color, SSAEvent, make_time
from audio_pipeline import logging_config
from audio_pipeline.audio_processing.ffmpeg_processor import run_ffmpeg
logger = logging_config.get_logger(__name__)
def _adjust_for_clashing_subs(combined_subs, working_sub, exclude):
"""
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
365aacb7e69ac288818c4cf46c2f47b217dbd9af | 962 | py | Python | drug/migrations/0004_auto_20190604_2300.py | MubongwoNdasi/pms | 0cc5dcbc25b31e13631672e1a03c88e2ad46bc92 | [
"MIT"
] | null | null | null | drug/migrations/0004_auto_20190604_2300.py | MubongwoNdasi/pms | 0cc5dcbc25b31e13631672e1a03c88e2ad46bc92 | [
"MIT"
] | 8 | 2021-03-18T22:27:44.000Z | 2022-02-10T09:18:50.000Z | drug/migrations/0004_auto_20190604_2300.py | MubongwoNdasi/pms | 0cc5dcbc25b31e13631672e1a03c88e2ad46bc92 | [
"MIT"
] | 1 | 2021-09-20T06:37:41.000Z | 2021-09-20T06:37:41.000Z | # Generated by Django 2.2 on 2019-06-04 23:00
| 29.151515 | 110 | 0.589397 | # Generated by Django 2.2 on 2019-06-04 23:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('drug', '0003_auto_20190604_2233'),
]
operations = [
migrations.RemoveField(
model_name='drugs',
name='name',
)... | 0 | 0 | 0 | 850 | 0 | 0 | 0 | 19 | 46 |
c0e7ce2e4c3ab7a07d885ea07518fe7f67108216 | 3,006 | py | Python | butunleme/160401007/butunleme.py | gizemozgun/kriptografi | fa395ea7592f2e6cf0cbb44a20f876d30a1d502a | [
"Unlicense"
] | 8 | 2020-04-15T12:06:42.000Z | 2022-01-21T10:35:51.000Z | butunleme/160401007/butunleme.py | gizemozgun/kriptografi | fa395ea7592f2e6cf0cbb44a20f876d30a1d502a | [
"Unlicense"
] | 3 | 2020-05-13T20:41:27.000Z | 2020-06-11T00:45:27.000Z | butunleme/160401007/butunleme.py | gizemozgun/kriptografi | fa395ea7592f2e6cf0cbb44a20f876d30a1d502a | [
"Unlicense"
] | 54 | 2020-04-23T14:58:50.000Z | 2020-06-26T06:00:32.000Z | #Gizem zgn / 160401007
# -*- coding: utf-8 -*-
if __name__ == "__main__":
menu()
| 28.093458 | 135 | 0.558217 | #Gizem Özgün / 160401007
# -*- coding: utf-8 -*-
import sys
def str_to_binary(string): #string'i binary'e ceviren fonksiyon
binary = ""
for i in string:
binary += "".join(f"{ord(i):08b}")
return binary
def binary_to_dec(binary): #binary'i decimale ceviren fonksiyon
binary=str(b... | 10 | 0 | 0 | 0 | 0 | 2,736 | 0 | -11 | 183 |
37639967ffaa3c0210549f24f634d2e636218c9a | 2,561 | py | Python | BayOptPy/freesurfer_preprocess/uniform_distributed_dataset.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | 3 | 2020-04-09T16:53:54.000Z | 2020-04-21T16:49:52.000Z | BayOptPy/freesurfer_preprocess/uniform_distributed_dataset.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | null | null | null | BayOptPy/freesurfer_preprocess/uniform_distributed_dataset.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | null | null | null | # This script assumes taht the freesurfer csv for the BANC data has already been generated
import os
import numpy as np
import pdb
import seaborn as sns
sns.set()
from BayOptPy.helperfunctions import get_paths, get_data
def str_to_bool(s):
'''
As arg pass does not acess boolen, transfrom the string into
b... | 36.070423 | 90 | 0.629832 | # This script assumes taht the freesurfer csv for the BANC data has already been generated
import os
import pandas as pd
import numpy as np
import pdb
import seaborn as sns
sns.set()
import matplotlib.pyplot as plt
from BayOptPy.helperfunctions import get_paths, get_data, drop_missing_features
def str_to_bool(s):
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 44 |
8bbf2f6e7ce233dc89fddc7e425bf35285b8c1c1 | 584 | py | Python | leaderboard/migrations/0007_submission_is_public.py | AppraiseDev/OCELoT | 9237c1eb1d9feebb1a51966b8c1ef82b381b4b1e | [
"BSD-3-Clause"
] | 6 | 2020-06-25T05:00:45.000Z | 2022-03-30T09:45:11.000Z | leaderboard/migrations/0007_submission_is_public.py | AppraiseDev/OCELoT | 9237c1eb1d9feebb1a51966b8c1ef82b381b4b1e | [
"BSD-3-Clause"
] | 42 | 2020-06-24T08:48:48.000Z | 2021-09-08T14:36:11.000Z | leaderboard/migrations/0007_submission_is_public.py | AppraiseDev/OCELoT | 9237c1eb1d9feebb1a51966b8c1ef82b381b4b1e | [
"BSD-3-Clause"
] | 3 | 2020-05-25T20:34:08.000Z | 2021-03-21T05:10:11.000Z | # pylint: disable=invalid-name,missing-docstring
# Generated by Django 2.2.1 on 2020-06-19 05:29
| 26.545455 | 64 | 0.580479 | # pylint: disable=invalid-name,missing-docstring
# Generated by Django 2.2.1 on 2020-06-19 05:29
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [('leaderboard', '0006_auto_20200618_2204')]
operations = [
migrations.AddFi... | 0 | 0 | 0 | 394 | 0 | 0 | 0 | 18 | 71 |
aefd262b130e708bff022101d0ddcb9ba1871734 | 2,110 | py | Python | models.py | fanieblesat/proyectoMintic | 18e25caf4a077a67c0e83d82757dfdc167ef61f6 | [
"MIT"
] | null | null | null | models.py | fanieblesat/proyectoMintic | 18e25caf4a077a67c0e83d82757dfdc167ef61f6 | [
"MIT"
] | null | null | null | models.py | fanieblesat/proyectoMintic | 18e25caf4a077a67c0e83d82757dfdc167ef61f6 | [
"MIT"
] | null | null | null | from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
| 26.375 | 94 | 0.592417 | from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from __init__ import db
class User(db.Model):
"""Data model for user accounts."""
_... | 0 | 726 | 0 | 1,110 | 0 | 0 | 0 | 66 | 94 |
0b45197a2c899c4d28fd133ec00a125cd4845c21 | 15,393 | py | Python | models_all_solvable2/syn05m02h.py | grossmann-group/pyomo-MINLP-benchmarking | 714f0a0dffd61675649a805683c0627af6b4929e | [
"MIT"
] | 7 | 2019-05-08T19:14:34.000Z | 2021-12-24T00:00:40.000Z | models_all_solvable2/syn05m02h.py | grossmann-group/pyomo-MINLP-benchmarking | 714f0a0dffd61675649a805683c0627af6b4929e | [
"MIT"
] | null | null | null | models_all_solvable2/syn05m02h.py | grossmann-group/pyomo-MINLP-benchmarking | 714f0a0dffd61675649a805683c0627af6b4929e | [
"MIT"
] | 2 | 2020-05-21T22:15:51.000Z | 2020-06-02T23:02:08.000Z | # MINLP written by GAMS Convert at 05/15/20 00:51:23
#
# Equation counts
# Total E G L N X C B
# 152 71 6 75 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc ... | 35.386207 | 112 | 0.626324 | # MINLP written by GAMS Convert at 05/15/20 00:51:23
#
# Equation counts
# Total E G L N X C B
# 152 71 6 75 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 23 |
f2d7eb3ab3f908b1ca35e025e58b489235659469 | 64 | py | Python | custom/opm/opm_tasks/__init__.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | 1 | 2015-02-10T23:26:39.000Z | 2015-02-10T23:26:39.000Z | custom/opm/opm_tasks/__init__.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | custom/opm/opm_tasks/__init__.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | DEVELOPERS_EMAILS = ['esoergel@dimagi.com', 'sreddy@dimagi.com'] | 64 | 64 | 0.765625 | DEVELOPERS_EMAILS = ['esoergel@dimagi.com', 'sreddy@dimagi.com'] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
606cc358f9511c3f340751656877c62607d0a40f | 6,894 | py | Python | runner_with_threshold.py | dmitryrubtsov/Predictions-of-calls-in-Moscow-Megafon | 260bb49e859694d6a7c0dfb8cb13cd39d05ed597 | [
"MIT"
] | null | null | null | runner_with_threshold.py | dmitryrubtsov/Predictions-of-calls-in-Moscow-Megafon | 260bb49e859694d6a7c0dfb8cb13cd39d05ed597 | [
"MIT"
] | null | null | null | runner_with_threshold.py | dmitryrubtsov/Predictions-of-calls-in-Moscow-Megafon | 260bb49e859694d6a7c0dfb8cb13cd39d05ed597 | [
"MIT"
] | null | null | null | import pickle
import pandas as pd
TARGET = 'target'
THRESHOLD = 0.7
df = pd.read_csv('data_test.csv', index_col=[1]) \
.drop('Unnamed: 0', axis=1)
with open('model.pkl', 'rb') as f:
model = pickle.load(f)
df[TARGET] = (model.predict_proba(df)[:, 1] > THRESHOLD).astype('int')
df.to_csv('answers_test.c... | 37.879121 | 120 | 0.555411 | import os
import pickle
import time
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
class ColumnSelector(BaseEstimator, TransformerMixin):
def __init__(self, columns):
self.columns = columns
def fit(self, X, y=None):
return self
def transform(self, X):
... | 0 | 0 | 0 | 6,397 | 0 | 0 | 0 | 13 | 159 |
f9df096ba45086d24778903b52ed2aaffddeaa80 | 920 | py | Python | 02_script.py | michalskop/cz-covid-predictive-data | 42b7a4557d8b3c40ab4d2cf194efabb3b16db8be | [
"Apache-2.0"
] | null | null | null | 02_script.py | michalskop/cz-covid-predictive-data | 42b7a4557d8b3c40ab4d2cf194efabb3b16db8be | [
"Apache-2.0"
] | null | null | null | 02_script.py | michalskop/cz-covid-predictive-data | 42b7a4557d8b3c40ab4d2cf194efabb3b16db8be | [
"Apache-2.0"
] | null | null | null | """Split sorted modely_02."""
import pandas as pd
url = "https://onemocneni-aktualne.mzcr.cz/api/account/mifLSHU2re3GAmiotOkdYExeoQ/file/modely%252Fmodely_02_efektivita_testovani.csv"
df = pd.read_csv(url, delimiter=';')
df = df.sort_values(['datum_hlaseni', 'datum_prvniho_priznaku', 'orp', 'vek_kat', 'pohlavi'])
... | 48.421053 | 138 | 0.753261 | """Split sorted modely_02."""
import pandas as pd
url = "https://onemocneni-aktualne.mzcr.cz/api/account/mifLSHU2re3GAmiotOkdYExeoQ/file/modely%252Fmodely_02_efektivita_testovani.csv"
df = pd.read_csv(url, delimiter=';')
df = df.sort_values(['datum_hlaseni', 'datum_prvniho_priznaku', 'orp', 'vek_kat', 'pohlavi'])
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
832acd9db96614ccc2d38b291080f4460de203bc | 8,375 | py | Python | functions/sampling.py | Yuleii/yulei-thesis-QBSM-kw94 | bb882bc6c809331c370a4d6442c36ad67ccad498 | [
"MIT"
] | null | null | null | functions/sampling.py | Yuleii/yulei-thesis-QBSM-kw94 | bb882bc6c809331c370a4d6442c36ad67ccad498 | [
"MIT"
] | null | null | null | functions/sampling.py | Yuleii/yulei-thesis-QBSM-kw94 | bb882bc6c809331c370a4d6442c36ad67ccad498 | [
"MIT"
] | null | null | null | """Functions that create samples."""
import chaospy as cp
import numpy as np
import respy as rp
import pandas as pd
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[1]
DATA_PATH = PROJECT_ROOT / "data"
CHAOSPY_SAMPLING_METHODS = {
"random",
"grid",
"chebyshev",
"korobov",
... | 27.459016 | 89 | 0.628776 | """Functions that create samples."""
import chaospy as cp
import numpy as np
import respy as rp
import pandas as pd
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[1]
DATA_PATH = PROJECT_ROOT / "data"
CHAOSPY_SAMPLING_METHODS = {
"random",
"grid",
"chebyshev",
"korobov",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eaff22981bf52da6d78148d2d28c27ef6dce2a67 | 523 | py | Python | app/auth.py | leandcesar/bobotinho-api | 7a3ce31fb2220e00b4b1fabf10e1c32afde314a9 | [
"MIT"
] | null | null | null | app/auth.py | leandcesar/bobotinho-api | 7a3ce31fb2220e00b4b1fabf10e1c32afde314a9 | [
"MIT"
] | null | null | null | app/auth.py | leandcesar/bobotinho-api | 7a3ce31fb2220e00b4b1fabf10e1c32afde314a9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from flask_httpauth import HTTPTokenAuth
auth = HTTPTokenAuth(scheme="Bearer", header="Authorization")
| 24.904762 | 76 | 0.74761 | # -*- coding: utf-8 -*-
from http import HTTPStatus
from typing import Optional
from flask_httpauth import HTTPTokenAuth
from app.config import config
auth = HTTPTokenAuth(scheme="Bearer", header="Authorization")
@auth.verify_token
def verify_token(token: str) -> Optional[str]:
users = {config.AUTH_TOKEN: "adm... | 0 | 259 | 0 | 0 | 0 | 0 | 0 | 20 | 113 |
826b024a79bb72e12c1b5294e4bfa65c557b57a9 | 3,118 | py | Python | lib/cirrocumulus/parquet_output.py | klarman-cell-observatory/cirrocumulus-app-engine | 52997ae790773364591ab8d7c747e4505700373b | [
"BSD-3-Clause"
] | null | null | null | lib/cirrocumulus/parquet_output.py | klarman-cell-observatory/cirrocumulus-app-engine | 52997ae790773364591ab8d7c747e4505700373b | [
"BSD-3-Clause"
] | 1 | 2021-04-13T14:52:39.000Z | 2021-04-13T15:53:34.000Z | lib/cirrocumulus/parquet_output.py | klarman-cell-observatory/cirrocumulus-app-engine | 52997ae790773364591ab8d7c747e4505700373b | [
"BSD-3-Clause"
] | null | null | null | import logging
logger = logging.getLogger("cirro")
| 37.566265 | 107 | 0.661642 | import logging
import os
import numpy as np
import pandas._libs.json as ujson
import pyarrow as pa
import pyarrow.parquet as pq
import scipy.sparse
from cirrocumulus.anndata_util import DataType
logger = logging.getLogger("cirro")
def write_pq(d, output_dir, name, filesystem, write_statistics=True, row_group_size=... | 0 | 0 | 0 | 0 | 0 | 2,764 | 0 | 26 | 271 |
bfdf11c58987e1527ebc503d8721980c3affd9ed | 17,105 | py | Python | abei/implements/procedure_basic.py | mind-bricks/abei | 5e364d5200111793073a0a3d64f556b5207a8734 | [
"MIT"
] | null | null | null | abei/implements/procedure_basic.py | mind-bricks/abei | 5e364d5200111793073a0a3d64f556b5207a8734 | [
"MIT"
] | null | null | null | abei/implements/procedure_basic.py | mind-bricks/abei | 5e364d5200111793073a0a3d64f556b5207a8734 | [
"MIT"
] | null | null | null |
# composite procedure class ------------------------------
procedure_class_composite = ProcedureClassComposite()
# bool procedure classes ----------------------------------
procedure_class_not = ProcedureClassBasic(
signature='not',
docstring='logic not',
procedure_type=ProcedureUnaryOperator,... | 29.696181 | 77 | 0.635194 | from abei.interfaces import (
IProcedure,
IProcedureClass,
IProcedureFactory,
IProcedureData,
IProcedureLink,
)
from .procedure_joint_basic import (
joint_validate,
joint_run,
)
class ProcedureBasic(IProcedure):
signature = 'NA'
docstring = 'NA'
input_signatures = []
output... | 0 | 614 | 0 | 11,145 | 0 | 0 | 0 | 162 | 319 |
21c9f79920b697cfa6ac2f04a0ea24b5b317a312 | 5,109 | py | Python | tests/handlers/test_base_handler_with_different_storage_config.py | bear8421/thumbor | 00a0c44d44b8fa5f06c38deee7123793addda404 | [
"MIT"
] | 1 | 2021-12-24T02:01:52.000Z | 2021-12-24T02:01:52.000Z | tests/handlers/test_base_handler_with_different_storage_config.py | bear8421/thumbor | 00a0c44d44b8fa5f06c38deee7123793addda404 | [
"MIT"
] | 2 | 2022-03-17T06:53:16.000Z | 2022-03-31T19:42:00.000Z | tests/handlers/test_base_handler_with_different_storage_config.py | bear8421/thumbor | 00a0c44d44b8fa5f06c38deee7123793addda404 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
# pylint: disable=broad-except,abstract-method,attribute-defined-out... | 34.755102 | 115 | 0.671169 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
from json import loads
from shutil import which
from preggy import ... | 0 | 2,686 | 0 | 1,504 | 0 | 0 | 0 | 225 | 291 |
69f96b0f73d164eab7447db6d9b5280090b7a144 | 784 | py | Python | server/migrations/versions/69858d32aaff_.py | morganrconnolly/billingPlatform | 9323b3af5a906cac0a0966943d8cf6d9fb1b656c | [
"MIT"
] | null | null | null | server/migrations/versions/69858d32aaff_.py | morganrconnolly/billingPlatform | 9323b3af5a906cac0a0966943d8cf6d9fb1b656c | [
"MIT"
] | null | null | null | server/migrations/versions/69858d32aaff_.py | morganrconnolly/billingPlatform | 9323b3af5a906cac0a0966943d8cf6d9fb1b656c | [
"MIT"
] | null | null | null | """empty message
Revision ID: 69858d32aaff
Revises: 160db434d139
Create Date: 2016-07-20 16:08:00.219265
"""
# revision identifiers, used by Alembic.
revision = '69858d32aaff'
down_revision = '160db434d139'
| 27.034483 | 113 | 0.706633 | """empty message
Revision ID: 69858d32aaff
Revises: 160db434d139
Create Date: 2016-07-20 16:08:00.219265
"""
# revision identifiers, used by Alembic.
revision = '69858d32aaff'
down_revision = '160db434d139'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | 0 | 0 | 0 | 0 | 0 | 478 | 0 | 3 | 91 |
07f275f04459b59e56771f458e8dbc8d729ad137 | 3,070 | py | Python | autogluon/utils/tabular/ml/models/abstract/model_trial.py | tlienart/autogluon | d02e37f41cd947dd1281bb1296cd12a8187ec441 | [
"Apache-2.0"
] | 6 | 2020-06-16T19:17:36.000Z | 2021-07-07T14:50:31.000Z | autogluon/utils/tabular/ml/models/abstract/model_trial.py | tlienart/autogluon | d02e37f41cd947dd1281bb1296cd12a8187ec441 | [
"Apache-2.0"
] | null | null | null | autogluon/utils/tabular/ml/models/abstract/model_trial.py | tlienart/autogluon | d02e37f41cd947dd1281bb1296cd12a8187ec441 | [
"Apache-2.0"
] | 2 | 2020-12-13T16:40:04.000Z | 2021-03-08T09:14:16.000Z | import logging
logger = logging.getLogger(__name__)
| 41.486486 | 138 | 0.708143 | import os
import time
import logging
from ....utils.loaders import load_pkl
from ....utils.exceptions import TimeLimitExceeded
from ......core import args
from ......scheduler.reporter import LocalStatusReporter
logger = logging.getLogger(__name__)
@args()
def model_trial(args, reporter: LocalStatusReporter):
"... | 0 | 1,471 | 0 | 0 | 0 | 1,276 | 0 | 65 | 202 |
b91ce7f9815c40c314f3094cadd8acb2c4cda526 | 2,874 | py | Python | examples/server-ssh-keys.py | pschelle/pyonepassword | 2258c0fa851ad6a63c4f959982a66c715706b654 | [
"MIT"
] | 12 | 2019-08-11T09:08:47.000Z | 2022-03-18T22:10:12.000Z | examples/server-ssh-keys.py | pschelle/pyonepassword | 2258c0fa851ad6a63c4f959982a66c715706b654 | [
"MIT"
] | 23 | 2019-09-13T20:16:12.000Z | 2022-01-15T18:29:52.000Z | examples/server-ssh-keys.py | pschelle/pyonepassword | 2258c0fa851ad6a63c4f959982a66c715706b654 | [
"MIT"
] | 10 | 2020-03-10T19:49:35.000Z | 2022-01-18T14:09:10.000Z |
if __name__ == "__main__":
main()
| 32.292135 | 101 | 0.675713 | import os
import getpass
from pathlib import Path
from argparse import ArgumentParser
from pyonepassword import OP, OPServerItem
class ServerWithSSHKeys:
SSH_KEYS_SECTION = "SSH Keys"
PRIV_PERMS = 0o600
PUB_PERMS = 0o644
DIR_PERMS = 0o755
def __init__(self, server_item: OPServerItem):
sel... | 0 | 0 | 0 | 1,494 | 0 | 1,116 | 0 | 19 | 202 |
df90b5084ec078dc608d22914913d694a5f7c40b | 21,282 | py | Python | scraper.py | dancing-rain/HackIllinois-2022-RedditUsrInfoDiscordBot | 65462267f5a282e68b5714c0a1e09a6ded939f1a | [
"MIT"
] | 2 | 2022-02-26T07:27:10.000Z | 2022-02-26T22:41:06.000Z | scraper.py | dancing-rain/HackIllinois-2022-RedditUsrInfoDiscordBot | 65462267f5a282e68b5714c0a1e09a6ded939f1a | [
"MIT"
] | null | null | null | scraper.py | dancing-rain/HackIllinois-2022-RedditUsrInfoDiscordBot | 65462267f5a282e68b5714c0a1e09a6ded939f1a | [
"MIT"
] | 1 | 2022-02-26T07:21:01.000Z | 2022-02-26T07:21:01.000Z | #Dependencies
import praw
import os
import json
from dotenv import load_dotenv
load_dotenv("./.env")
CLIENT_ID = os.getenv("CLIENT_ID")
CLIENT_SECRET = os.getenv("CLIENT_SECRET")
PASSWORD = os.getenv("PASS")
USER_AGENT = os.getenv("USER_AGENT")
USERNAME = os.getenv("USERNAME")
abs_path = os.path.abspath(__file__)
di... | 43.971074 | 282 | 0.619303 | #Dependencies
from array import array
from operator import mod
from statistics import mode
from unicodedata import name
import praw
import os
from datetime import datetime
import time
from prawcore.exceptions import NotFound
import json
from dotenv import load_dotenv
import scraper as scrape
load_dotenv("./.env")
CLI... | 0 | 0 | 0 | 16,627 | 0 | 1,567 | 0 | 38 | 369 |
5d6c9190d3e7576fe518ec7b1ef02456361a1ace | 507 | py | Python | tests/bench_mark/func_exec_time_decorator.py | apache/incubator-sdap-in-situ-data-services | 4e65e0e2eb178461baba61e2204e5a97f701d8ed | [
"Apache-2.0"
] | 1 | 2021-11-07T20:27:13.000Z | 2021-11-07T20:27:13.000Z | tests/bench_mark/func_exec_time_decorator.py | apache/incubator-sdap-in-situ-data-services | 4e65e0e2eb178461baba61e2204e5a97f701d8ed | [
"Apache-2.0"
] | null | null | null | tests/bench_mark/func_exec_time_decorator.py | apache/incubator-sdap-in-situ-data-services | 4e65e0e2eb178461baba61e2204e5a97f701d8ed | [
"Apache-2.0"
] | 2 | 2021-11-07T20:27:05.000Z | 2021-11-15T15:40:40.000Z | import logging
LOGGER = logging.getLogger(__name__)
| 28.166667 | 82 | 0.682446 | import logging
from datetime import datetime
from functools import wraps
LOGGER = logging.getLogger(__name__)
def func_exec_time_decorator(f):
@wraps(f)
def decorated_function(*args, **kwargs):
time1 = datetime.now()
func_result = f(*args, **kwargs)
time2 = datetime.now()
dura... | 0 | 305 | 0 | 0 | 0 | 67 | 0 | 14 | 67 |
c3a5056c918dabba6cfeccc2f5e35a381a297809 | 678 | py | Python | falconn/src/examples/glove/convert.py | bobpoekert/ocamlfalconn | 678976064077ca2a4bc6ced3e84042ac1751669a | [
"MIT"
] | 1,068 | 2015-12-10T18:03:11.000Z | 2022-03-29T09:05:38.000Z | falconn/src/examples/glove/convert.py | bobpoekert/ocamlfalconn | 678976064077ca2a4bc6ced3e84042ac1751669a | [
"MIT"
] | 108 | 2015-12-10T21:14:41.000Z | 2022-03-15T17:51:17.000Z | falconn/src/examples/glove/convert.py | bobpoekert/ocamlfalconn | 678976064077ca2a4bc6ced3e84042ac1751669a | [
"MIT"
] | 224 | 2015-12-17T02:35:21.000Z | 2022-03-29T09:05:40.000Z | #!/usr/bin/python
import sys
import struct
import numpy as np
matrix = []
with open('dataset/glove.840B.300d.txt', 'r') as inf:
with open('dataset/glove.840B.300d.dat', 'wb') as ouf:
counter = 0
for line in inf:
row = [float(x) for x in line.split()[1:]]
assert len(row) == ... | 32.285714 | 70 | 0.558997 | #!/usr/bin/python
import sys
import struct
import numpy as np
matrix = []
with open('dataset/glove.840B.300d.txt', 'r') as inf:
with open('dataset/glove.840B.300d.dat', 'wb') as ouf:
counter = 0
for line in inf:
row = [float(x) for x in line.split()[1:]]
assert len(row) == ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54c89ad19cbe5956de571d43a26e1b16cbff6748 | 18,826 | py | Python | iso3166/__init__.py | briangmaddox/QGISSOLR | e98e98f89265b7d0b6b8a760f6233c990ce368c3 | [
"MIT"
] | null | null | null | iso3166/__init__.py | briangmaddox/QGISSOLR | e98e98f89265b7d0b6b8a760f6233c990ce368c3 | [
"MIT"
] | null | null | null | iso3166/__init__.py | briangmaddox/QGISSOLR | e98e98f89265b7d0b6b8a760f6233c990ce368c3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from builtins import object
from collections import namedtuple
__all__ = ["countries"]
try:
str
except NameError:
str = str
Country = namedtuple('Country',
'name alpha2 alpha3 numeric apolitical_name')
_records = [
Country(u"Afghanistan", "AF", "AFG", "004",... | 49.412073 | 78 | 0.565973 | # -*- coding: utf-8 -*-
from builtins import object
import re
from numbers import Integral
from collections import namedtuple
__all__ = ["countries"]
try:
str
except NameError:
str = str
Country = namedtuple('Country',
'name alpha2 alpha3 numeric apolitical_name')
_records = [
Coun... | 20 | 0 | 0 | 1,014 | 0 | 56 | 0 | -5 | 90 |
eeffb6fed77812d6b8dcfa922e04b9b21a87db1d | 637 | py | Python | tracim/migration/versions/2cd20ff3d23a_user_timezone.py | lebouquetin/tracim | dc3485f92b07ced3230834a5852c9f9574477c1c | [
"MIT"
] | 1 | 2016-09-27T12:16:05.000Z | 2016-09-27T12:16:05.000Z | tracim/migration/versions/2cd20ff3d23a_user_timezone.py | lebouquetin/tracim | dc3485f92b07ced3230834a5852c9f9574477c1c | [
"MIT"
] | null | null | null | tracim/migration/versions/2cd20ff3d23a_user_timezone.py | lebouquetin/tracim | dc3485f92b07ced3230834a5852c9f9574477c1c | [
"MIT"
] | null | null | null | """user_timezone
Revision ID: 2cd20ff3d23a
Revises: b4b8d57b54e5
Create Date: 2016-11-08 11:32:00.903232
"""
# revision identifiers, used by Alembic.
revision = '2cd20ff3d23a'
down_revision = 'b4b8d57b54e5'
| 23.592593 | 108 | 0.700157 | """user_timezone
Revision ID: 2cd20ff3d23a
Revises: b4b8d57b54e5
Create Date: 2016-11-08 11:32:00.903232
"""
# revision identifiers, used by Alembic.
revision = '2cd20ff3d23a'
down_revision = 'b4b8d57b54e5'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | 0 | 0 | 0 | 0 | 0 | 331 | 0 | 3 | 91 |
adfdf8fb280e0e87d5424c93032f99b388e9671d | 1,280 | py | Python | setup.py | CraazzzyyFoxx/lavacord.py | 5974644b2ceb814b8ad3e253e9328d22c5e17921 | [
"MIT"
] | null | null | null | setup.py | CraazzzyyFoxx/lavacord.py | 5974644b2ceb814b8ad3e253e9328d22c5e17921 | [
"MIT"
] | null | null | null | setup.py | CraazzzyyFoxx/lavacord.py | 5974644b2ceb814b8ad3e253e9328d22c5e17921 | [
"MIT"
] | null | null | null | import pathlib
from setuptools import setup
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='lavacord.py',
version='1.0.4a1',
description='Its a lavalink nodes manger to make a music bots for discord with python.',
long_d... | 36.571429 | 92 | 0.663281 | import pathlib
from setuptools import setup
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='lavacord.py',
version='1.0.4a1',
description='Its a lavalink nodes manger to make a music bots for discord with python.',
long_d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |