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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a906359018ecf72d4a4f117b4a1b82b665b383a6 | 3,912 | py | Python | examples/j1j2_2d_exact_4.py | vigsterkr/FlowKet | 0d8f301b5f51a1bab83021f10f65cfb5f2751079 | [
"MIT"
] | 21 | 2019-11-19T13:59:13.000Z | 2021-12-03T10:26:30.000Z | examples/j1j2_2d_exact_4.py | HUJI-Deep/PyKet | 61238afd3fe1488d35c57d280675f544c559bd01 | [
"MIT"
] | 10 | 2019-11-15T12:07:28.000Z | 2020-11-07T18:12:18.000Z | examples/j1j2_2d_exact_4.py | HUJI-Deep/PyKet | 61238afd3fe1488d35c57d280675f544c559bd01 | [
"MIT"
] | 11 | 2019-12-09T22:51:17.000Z | 2021-11-29T22:05:41.000Z | from collections import OrderedDict
import itertools
import sys
from tensorflow.keras.layers import Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from flowket.callbacks import TensorBoard
from flowket.callbacks.exact import default_wave_function_callbacks_factory, ExactO... | 40.329897 | 120 | 0.748466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 0.08819 |
a907a743744664923c1dc0146b6eda52d8a91360 | 3,833 | py | Python | build/package_version/archive_info.py | MicrohexHQ/nacl_contracts | 3efab5eecb3cf7ba43f2d61000e65918aa4ba77a | [
"BSD-3-Clause"
] | 6 | 2015-02-06T23:41:01.000Z | 2015-10-21T03:08:51.000Z | build/package_version/archive_info.py | MicrohexHQ/nacl_contracts | 3efab5eecb3cf7ba43f2d61000e65918aa4ba77a | [
"BSD-3-Clause"
] | null | null | null | build/package_version/archive_info.py | MicrohexHQ/nacl_contracts | 3efab5eecb3cf7ba43f2d61000e65918aa4ba77a | [
"BSD-3-Clause"
] | 1 | 2019-10-02T08:41:50.000Z | 2019-10-02T08:41:50.000Z | #!/usr/bin/python
# Copyright (c) 2014 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""A archive_info is a json file describing a single package archive."""
import collections
import hashlib
import json
import os
... | 33.920354 | 76 | 0.687712 | 2,938 | 0.766501 | 0 | 0 | 0 | 0 | 0 | 0 | 1,702 | 0.444039 |
8bef32020f0494687a4f159a327cd70c156e52e5 | 3,546 | py | Python | tests/test_lsstdoc.py | lsst-sqre/dochub-adapter | 3c155bc7ffe46f41e8de5108c936aed7587c8cdb | [
"MIT"
] | null | null | null | tests/test_lsstdoc.py | lsst-sqre/dochub-adapter | 3c155bc7ffe46f41e8de5108c936aed7587c8cdb | [
"MIT"
] | null | null | null | tests/test_lsstdoc.py | lsst-sqre/dochub-adapter | 3c155bc7ffe46f41e8de5108c936aed7587c8cdb | [
"MIT"
] | null | null | null | """Ad hoc tests of the LsstLatexDoc class. Other test modules rigorously verify
LsstLatexDoc against sample documents.
"""
from pybtex.database import BibliographyData
import pytest
from lsstprojectmeta.tex.lsstdoc import LsstLatexDoc
def test_no_short_title():
"""title without a short title."""
sample = r"... | 32.833333 | 79 | 0.645798 | 0 | 0 | 0 | 0 | 332 | 0.093521 | 0 | 0 | 1,692 | 0.47662 |
8bf15c081cf1ec7e2805d8cdda039957d68c5367 | 454 | py | Python | Exercicios/script030.py | jacksonmoreira/Curso-em-video-mundo1- | 84b09bd3b61417fab483acf9f1a38e0cf6b95a80 | [
"MIT"
] | null | null | null | Exercicios/script030.py | jacksonmoreira/Curso-em-video-mundo1- | 84b09bd3b61417fab483acf9f1a38e0cf6b95a80 | [
"MIT"
] | null | null | null | Exercicios/script030.py | jacksonmoreira/Curso-em-video-mundo1- | 84b09bd3b61417fab483acf9f1a38e0cf6b95a80 | [
"MIT"
] | null | null | null | frase = str(input('Digite o seu nome completo para a análise ser feita:')).strip()
print('-' * 50)
print('Analisando nome...')
print('O seu nome em maiúsculas é {}.'.format(frase.upper()))
print('O seu nome em minúsculas é {}.'.format(frase.lower()))
print('O seu nome tem ao todo {} letras.'.format(len(frase) - frase.c... | 41.272727 | 82 | 0.665198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.555556 |
8bf171a05404452569f820648c7f427a69c301b2 | 8,012 | py | Python | bluesky_kafka/tests/test_kafka.py | gwbischof/bluesky-kafka | fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4 | [
"BSD-3-Clause"
] | null | null | null | bluesky_kafka/tests/test_kafka.py | gwbischof/bluesky-kafka | fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4 | [
"BSD-3-Clause"
] | null | null | null | bluesky_kafka/tests/test_kafka.py | gwbischof/bluesky-kafka | fb5ab9c2caa023b91722e1dfc1aac00b6e0d7ec4 | [
"BSD-3-Clause"
] | null | null | null | from functools import partial
import logging
import msgpack
import msgpack_numpy as mpn
from confluent_kafka.cimpl import KafkaException
import numpy as np
import pickle
import pytest
from bluesky_kafka import Publisher, BlueskyConsumer
from bluesky_kafka.tests.conftest import get_all_documents_from_queue
from blues... | 33.383333 | 92 | 0.668622 | 0 | 0 | 0 | 0 | 5,015 | 0.625936 | 0 | 0 | 2,940 | 0.36695 |
8bf35fc329c7f95687b72ea8d092fd4c3193b925 | 407 | py | Python | Chapter01/datastructures_06.py | vabyte/Modern-Python-Standard-Library-Cookbook | 4f53e3ab7b61aca1cca9343e7421e170280cd5b5 | [
"MIT"
] | 84 | 2018-08-09T09:30:03.000Z | 2022-01-04T23:20:38.000Z | Chapter01/datastructures_06.py | jiro74/Modern-Python-Standard-Library-Cookbook | 4f53e3ab7b61aca1cca9343e7421e170280cd5b5 | [
"MIT"
] | 1 | 2019-11-04T18:57:40.000Z | 2020-09-07T08:52:25.000Z | Chapter01/datastructures_06.py | jiro74/Modern-Python-Standard-Library-Cookbook | 4f53e3ab7b61aca1cca9343e7421e170280cd5b5 | [
"MIT"
] | 33 | 2018-09-26T11:05:55.000Z | 2022-03-15T10:31:10.000Z | import time
import heapq
class PriorityQueue(object):
def __init__(self):
self._q = []
def add(self, value, priority=0):
heapq.heappush(self._q, (priority, time.time(), value))
def pop(self):
return heapq.heappop(self._q)[-1]
def f1(): print('hello')
def f2(): print('world')
pq... | 17.695652 | 63 | 0.619165 | 238 | 0.584767 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.034398 |
8bf4cdf0dd3a18f2cee9855d7af028188308986c | 1,080 | py | Python | webshots/popular-websites.py | acamero/evo-web | 5229ff89e2ac2d3f6a3a7f80d3f514fd3ed728c9 | [
"MIT"
] | null | null | null | webshots/popular-websites.py | acamero/evo-web | 5229ff89e2ac2d3f6a3a7f80d3f514fd3ed728c9 | [
"MIT"
] | null | null | null | webshots/popular-websites.py | acamero/evo-web | 5229ff89e2ac2d3f6a3a7f80d3f514fd3ed728c9 | [
"MIT"
] | null | null | null | import requests
import sys
from lxml import html
#csv_file_name = sys.argv[1] # output file
csv_file_name = "../webshot_data/popular-web-sites.csv"
csv_file = open(csv_file_name, "w")
categories = ["Arts", "Business", "Computers", "Games", "Health", "Home", "Kids_and_Teens", "News", "Recreation", "Reference", "Regio... | 34.83871 | 202 | 0.605556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 540 | 0.5 |
8bf5aa849ab9919f36bd06cb32baf1102cd57b0f | 13,653 | py | Python | sunpy/coordinates/frames.py | s0nskar/sunpy | 60ca4792ded4c3938a78da7055cf2c20e0e8ccfd | [
"MIT"
] | null | null | null | sunpy/coordinates/frames.py | s0nskar/sunpy | 60ca4792ded4c3938a78da7055cf2c20e0e8ccfd | [
"MIT"
] | null | null | null | sunpy/coordinates/frames.py | s0nskar/sunpy | 60ca4792ded4c3938a78da7055cf2c20e0e8ccfd | [
"MIT"
] | null | null | null | """
Common solar physics coordinate systems.
This submodule implements various solar physics coordinate frames for use with
the `astropy.coordinates` module.
"""
from __future__ import absolute_import, division
import numpy as np
from astropy import units as u
from astropy.coordinates.representation import (Cartesia... | 41.49848 | 90 | 0.620669 | 12,517 | 0.916795 | 0 | 0 | 0 | 0 | 0 | 0 | 7,841 | 0.574306 |
8bf7588b6e982ef5c34279f0381a39c74ff2495d | 4,640 | py | Python | python/ray/serve/tests/test_pipeline_dag.py | quarkzou/ray | 49de29969df0c55a5969b8ffbfc7d62459e5024b | [
"Apache-2.0"
] | null | null | null | python/ray/serve/tests/test_pipeline_dag.py | quarkzou/ray | 49de29969df0c55a5969b8ffbfc7d62459e5024b | [
"Apache-2.0"
] | null | null | null | python/ray/serve/tests/test_pipeline_dag.py | quarkzou/ray | 49de29969df0c55a5969b8ffbfc7d62459e5024b | [
"Apache-2.0"
] | null | null | null | import pytest
import os
import sys
import numpy as np
import ray
from ray import serve
from ray.serve.api import _get_deployments_from_node
from ray.serve.handle import PipelineHandle
from ray.serve.pipeline.pipeline_input_node import PipelineInputNode
@serve.deployment
class Adder:
def __init__(self, increment... | 25.217391 | 84 | 0.650647 | 1,634 | 0.352155 | 0 | 0 | 2,209 | 0.476078 | 77 | 0.016595 | 335 | 0.072198 |
8bf7c2002c8b113a9de4b7623d703ed3f154d1fb | 118 | py | Python | code/super_minitaur/script/lpmslib/lputils.py | buenos-dan/quadrupedal_robot | 605054c027e20b83e347f2aa175c03c965e72983 | [
"MIT"
] | 5 | 2019-03-22T06:39:42.000Z | 2021-07-27T13:56:45.000Z | code/super_minitaur/script/lpmslib/lputils.py | buenos-dan/quadrupedal_robot | 605054c027e20b83e347f2aa175c03c965e72983 | [
"MIT"
] | null | null | null | code/super_minitaur/script/lpmslib/lputils.py | buenos-dan/quadrupedal_robot | 605054c027e20b83e347f2aa175c03c965e72983 | [
"MIT"
] | 2 | 2021-02-16T09:52:04.000Z | 2021-11-30T12:12:55.000Z |
#helpers
def logd(tag, msg):
print "[Debug-"+tag+"]", msg
def loge(tag, msg):
print "[Error-"+tag+"]", msg
| 13.111111 | 32 | 0.550847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.271186 |
8bf7e9d1ed3871fd0972273d253da43b826c3e35 | 598 | py | Python | test/data_producer_kafka.py | netgroup/srv6-pm-dockerized | 770976e9e2da56780ae9bb4048360235d2568627 | [
"Apache-2.0"
] | null | null | null | test/data_producer_kafka.py | netgroup/srv6-pm-dockerized | 770976e9e2da56780ae9bb4048360235d2568627 | [
"Apache-2.0"
] | null | null | null | test/data_producer_kafka.py | netgroup/srv6-pm-dockerized | 770976e9e2da56780ae9bb4048360235d2568627 | [
"Apache-2.0"
] | 2 | 2020-07-28T18:12:09.000Z | 2021-02-22T06:31:19.000Z | from kafka import KafkaProducer
from kafka.errors import KafkaError
import json
# produce json messages
producer = KafkaProducer(bootstrap_servers='kafka:9092', security_protocol='PLAINTEXT',
value_serializer=lambda m: json.dumps(m).encode('ascii'))
result = producer.send('ktig', {'measure_i... | 37.375 | 88 | 0.602007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.314381 |
8bf80a6b7a2e719d044ca3071a20a59ca3623e14 | 248 | py | Python | uasyncio.core/test_cb_args.py | Carglglz/micropython-lib | 07102c56aa1087b97ee313cedc1d89fd20452e11 | [
"PSF-2.0"
] | 126 | 2019-07-19T14:42:41.000Z | 2022-03-21T22:22:19.000Z | uasyncio.core/test_cb_args.py | Carglglz/micropython-lib | 07102c56aa1087b97ee313cedc1d89fd20452e11 | [
"PSF-2.0"
] | 38 | 2019-08-28T01:46:31.000Z | 2022-03-17T05:46:51.000Z | uasyncio.core/test_cb_args.py | Carglglz/micropython-lib | 07102c56aa1087b97ee313cedc1d89fd20452e11 | [
"PSF-2.0"
] | 55 | 2019-08-02T09:32:33.000Z | 2021-12-22T11:25:51.000Z | try:
import uasyncio.core as asyncio
except:
import asyncio
def cb(a, b):
assert a == "test"
assert b == "test2"
loop.stop()
loop = asyncio.get_event_loop()
loop.call_soon(cb, "test", "test2")
loop.run_forever()
print("OK")
| 14.588235 | 35 | 0.637097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.120968 |
8bf8770f23fe5d9c46d48d1b60253229783948a7 | 1,491 | py | Python | labdevices/_mock/ando.py | jkrauth/labdevices | 4b00579117216b6431079d79c1c978b73a6c0b96 | [
"MIT"
] | null | null | null | labdevices/_mock/ando.py | jkrauth/labdevices | 4b00579117216b6431079d79c1c978b73a6c0b96 | [
"MIT"
] | null | null | null | labdevices/_mock/ando.py | jkrauth/labdevices | 4b00579117216b6431079d79c1c978b73a6c0b96 | [
"MIT"
] | 1 | 2021-04-28T15:17:31.000Z | 2021-04-28T15:17:31.000Z | """
Provides a mock for the plx_gpib_ethernet package used in the
Ando devices.
"""
from unittest.mock import Mock
# The commands that are used in the methods of the
# ANDO devices and typical responses.
QUERY_COMMANDS = {
# Spectrum Analyzer commands
"*IDN?": "ANDO dummy\r\n",
"SWEEP?": "0\r\... | 33.886364 | 91 | 0.541247 | 951 | 0.637827 | 0 | 0 | 817 | 0.547954 | 0 | 0 | 965 | 0.647217 |
8bf9802eb12db8bd7835a073469cfa2b0ae5ce2e | 2,898 | py | Python | hearthstone/simulator/core/card_graveyard.py | JDBumgardner/stone_ground_hearth_battles | 9fe095651fab60e8ddbf563f0b9b7f3e723d5f4f | [
"Apache-2.0"
] | 20 | 2020-08-01T03:14:57.000Z | 2021-12-19T11:47:50.000Z | hearthstone/simulator/core/card_graveyard.py | JDBumgardner/stone_ground_hearth_battles | 9fe095651fab60e8ddbf563f0b9b7f3e723d5f4f | [
"Apache-2.0"
] | 48 | 2020-08-01T03:06:43.000Z | 2022-02-27T10:03:47.000Z | hearthstone/simulator/core/card_graveyard.py | JDBumgardner/stone_ground_hearth_battles | 9fe095651fab60e8ddbf563f0b9b7f3e723d5f4f | [
"Apache-2.0"
] | 3 | 2020-06-28T01:23:37.000Z | 2021-11-11T23:09:36.000Z | import sys
from inspect import getmembers, isclass
from typing import Union
from hearthstone.simulator.core.cards import MonsterCard
from hearthstone.simulator.core.events import CardEvent, EVENTS, BuyPhaseContext, CombatPhaseContext
from hearthstone.simulator.core.monster_types import MONSTER_TYPES
class FloatingWa... | 36.683544 | 149 | 0.640787 | 2,248 | 0.775707 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.033126 |
8bfa439c74e0b340dc223e43b06761bdee5d063d | 1,026 | py | Python | cookiecutter_mbam/scan/views.py | tiburona/cookiecutter_mbam | 13788774a4c1426c133b3f689f98d8f0c54de9c6 | [
"BSD-3-Clause"
] | null | null | null | cookiecutter_mbam/scan/views.py | tiburona/cookiecutter_mbam | 13788774a4c1426c133b3f689f98d8f0c54de9c6 | [
"BSD-3-Clause"
] | null | null | null | cookiecutter_mbam/scan/views.py | tiburona/cookiecutter_mbam | 13788774a4c1426c133b3f689f98d8f0c54de9c6 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Scan views."""
from flask import Blueprint, render_template, flash, redirect, url_for, session
from flask_login import current_user
from .forms import ScanForm
from .service import ScanService
from cookiecutter_mbam.utils import flash_errors
blueprint = Blueprint('scan', __name__, url_prefix... | 34.2 | 87 | 0.693957 | 0 | 0 | 0 | 0 | 533 | 0.519493 | 0 | 0 | 252 | 0.245614 |
8bfa8f2b88f8aca9aab6973afb6831c3aa0a0478 | 3,460 | py | Python | python-route-endpoint/test_dbstore.py | blues/note-samples | a50c27ea0b8728668f2c44139b088d5fdf0c7d57 | [
"Apache-2.0"
] | 1 | 2021-10-04T14:42:43.000Z | 2021-10-04T14:42:43.000Z | python-route-endpoint/test_dbstore.py | blues/note-samples | a50c27ea0b8728668f2c44139b088d5fdf0c7d57 | [
"Apache-2.0"
] | 3 | 2021-09-07T17:54:58.000Z | 2021-11-16T21:40:52.000Z | python-route-endpoint/test_dbstore.py | blues/note-samples | a50c27ea0b8728668f2c44139b088d5fdf0c7d57 | [
"Apache-2.0"
] | null | null | null | import pytest
import dbstore
inMemFile = ":memory:"
measurementTable = "measurements"
alertTable = "alerts"
def test_db_store_constructor():
s = dbstore.dbstore(file=inMemFile)
assert(s != None)
def test_dbStore_connect():
s = dbstore.dbstore(file=inMemFile)
s.connect()
assert s._connection i... | 23.69863 | 102 | 0.67052 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.134104 |
8bfbe25b3704f8131128b16676dbbc1e54dcc6b4 | 446 | py | Python | bin/Notifier/NotificationLoader.py | juergenhoetzel/craft | 9d3fe6dc07f2307e8f8212c8981b980a9d2d28fd | [
"BSD-2-Clause"
] | 55 | 2016-11-20T17:08:19.000Z | 2022-03-11T22:19:43.000Z | bin/Notifier/NotificationLoader.py | juergenhoetzel/craft | 9d3fe6dc07f2307e8f8212c8981b980a9d2d28fd | [
"BSD-2-Clause"
] | 17 | 2017-09-20T07:52:17.000Z | 2021-12-03T10:03:00.000Z | bin/Notifier/NotificationLoader.py | juergenhoetzel/craft | 9d3fe6dc07f2307e8f8212c8981b980a9d2d28fd | [
"BSD-2-Clause"
] | 29 | 2016-12-10T15:00:11.000Z | 2021-12-02T12:54:05.000Z | import importlib
_NOTIFICATION_BACKENDS = None
def load(modules):
global _NOTIFICATION_BACKENDS;
if _NOTIFICATION_BACKENDS == None:
_NOTIFICATION_BACKENDS = dict()
for backend in modules:
backend = backend.strip()
backend = getattr(importlib.import_module("Notifier.Bac... | 29.733333 | 99 | 0.695067 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.049327 |
8bfc984d3b1bbcef2b5af5e9508ff3a2a9c35186 | 604 | py | Python | basics/linear.py | zhijiahu/dltk | bf0484e22d3d0116b1ac60ae78f688a36c5a0636 | [
"MIT"
] | null | null | null | basics/linear.py | zhijiahu/dltk | bf0484e22d3d0116b1ac60ae78f688a36c5a0636 | [
"MIT"
] | null | null | null | basics/linear.py | zhijiahu/dltk | bf0484e22d3d0116b1ac60ae78f688a36c5a0636 | [
"MIT"
] | null | null | null |
import numpy as np
import cv2
labels = ['dog', 'cat', 'panda']
np.random.seed(1)
# Simulate model already trained
W = np.random.randn(3, 3072)
b = np.random.randn(3)
orig = cv2.imread('beagle.png')
image = cv2.resize(orig, (32, 32)).flatten()
scores = W.dot(image) + b
for (label, score) in zip(labels, scores):
... | 20.133333 | 58 | 0.574503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.15894 |
8bfd515b8c9ab45a349fc3b66ded01bb3b315143 | 2,759 | py | Python | sevivi/synchronizer/synchronizer.py | edgarriba/sevivi | 52c8bef206e531c797221a08037306c0c5b0ca59 | [
"MIT"
] | null | null | null | sevivi/synchronizer/synchronizer.py | edgarriba/sevivi | 52c8bef206e531c797221a08037306c0c5b0ca59 | [
"MIT"
] | 9 | 2021-09-09T07:40:21.000Z | 2022-01-13T07:03:59.000Z | sevivi/synchronizer/synchronizer.py | edgarriba/sevivi | 52c8bef206e531c797221a08037306c0c5b0ca59 | [
"MIT"
] | 1 | 2022-01-26T09:51:29.000Z | 2022-01-26T09:51:29.000Z | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from .signal_processing import (
resample_data,
normalize_signal,
calculate_magnitude,
calculate_offset_in_seconds_using_cross_correlation,
calculate_sampling_frequency_from_timestamps,
)
def get_synchronization_offset(
vi... | 33.240964 | 120 | 0.696629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 707 | 0.256252 |
8bfd607f605b753ac1980b586075777909511585 | 244 | py | Python | bob.py | williamstern/Intro-to-CS-MIT-Course | 0f6129fa6bd47767cb57507279d49b27501a160f | [
"MIT"
] | null | null | null | bob.py | williamstern/Intro-to-CS-MIT-Course | 0f6129fa6bd47767cb57507279d49b27501a160f | [
"MIT"
] | null | null | null | bob.py | williamstern/Intro-to-CS-MIT-Course | 0f6129fa6bd47767cb57507279d49b27501a160f | [
"MIT"
] | null | null | null | s = 'vpoboooboboobooboboo'
y = 0
counter = 0
times_run = 0
start = 0
end = 3
for letter in s:
sc = s[start:end]
start += 1
end += 1
if sc == str('bob'):
counter += 1
print('Number of times bob occurs is: ', counter)
| 10.166667 | 49 | 0.565574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.245902 |
8bfd9f299f8a3e49d68acee30f35331e05c04631 | 5,469 | py | Python | tests/main.py | bastienleonard/pysfml-cython | c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4 | [
"Zlib",
"BSD-2-Clause"
] | 14 | 2015-09-14T18:04:27.000Z | 2021-02-19T16:51:57.000Z | tests/main.py | bastienleonard/pysfml-cython | c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4 | [
"Zlib",
"BSD-2-Clause"
] | 3 | 2015-12-14T17:07:45.000Z | 2021-10-02T05:55:11.000Z | tests/main.py | bastienleonard/pysfml-cython | c71194988ba90678cbc4c9e6fd3e03f53ac4c2e4 | [
"Zlib",
"BSD-2-Clause"
] | 3 | 2015-04-12T16:57:02.000Z | 2021-02-20T17:15:51.000Z | #! /usr/bin/env python2
# -*- coding: utf-8 -*-
import random
import unittest
import sfml as sf
class TestColor(unittest.TestCase):
def random_color(self):
return sf.Color(random.randint(0, 255),
random.randint(0, 255),
random.randint(0, 255),
... | 30.724719 | 78 | 0.513257 | 5,307 | 0.970378 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.01024 |
8bfef33258b56cdbd64d66536a38eaa752a6a523 | 12,840 | py | Python | textgen/augment/word_level_augment.py | shibing624/textgen | 0a9d55f1f61d5217b8e06f1f23904e49afa84370 | [
"Apache-2.0"
] | 31 | 2021-06-29T14:31:35.000Z | 2022-03-25T00:36:44.000Z | textgen/augment/word_level_augment.py | shibing624/text-generation | 0a9d55f1f61d5217b8e06f1f23904e49afa84370 | [
"Apache-2.0"
] | 1 | 2021-11-09T21:30:16.000Z | 2022-03-02T10:21:04.000Z | textgen/augment/word_level_augment.py | shibing624/text-generation | 0a9d55f1f61d5217b8e06f1f23904e49afa84370 | [
"Apache-2.0"
] | 5 | 2021-06-21T03:13:39.000Z | 2022-02-07T06:53:22.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: Word level augmentations including Replace words with uniform
random words or TF-IDF based word replacement.
"""
import collections
import copy
import math
import numpy as np
from textgen.utils.log import logger
min_token_num = 3
class Eff... | 35.469613 | 95 | 0.576947 | 11,676 | 0.909346 | 0 | 0 | 0 | 0 | 0 | 0 | 2,378 | 0.185202 |
e300c54c781958b660c0d153f40329e21fe52fd9 | 6,539 | py | Python | three_d_resnet_builder/builder.py | thauptmann/3D-ResNet-for-Keras | ac1b8b3d0032c9af832cc945bc57a63106366e54 | [
"MIT"
] | 4 | 2021-05-23T09:30:40.000Z | 2021-12-29T16:14:46.000Z | three_d_resnet_builder/builder.py | thauptmann/3D-ResNet-for-Keras | ac1b8b3d0032c9af832cc945bc57a63106366e54 | [
"MIT"
] | 3 | 2021-06-24T09:26:58.000Z | 2022-01-06T11:01:59.000Z | three_d_resnet_builder/builder.py | thauptmann/3D-ResNet-for-Keras | ac1b8b3d0032c9af832cc945bc57a63106366e54 | [
"MIT"
] | 3 | 2021-06-07T18:11:34.000Z | 2021-12-22T01:57:03.000Z | from . import three_D_resnet
from .kernel import get_kernel_to_name
def build_three_d_resnet(input_shape, output_shape, repetitions, output_activation, regularizer=None,
squeeze_and_excitation=False, use_bottleneck=False, kernel_size=3, kernel_name='3D'):
"""Return a full customizable res... | 57.867257 | 115 | 0.692002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,496 | 0.534638 |
e301076532db001f5790d94584e7f5e4d2165387 | 1,198 | py | Python | ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | ubuntu20/projects/libRadtran-2.0.4/examples/GUI/spectrum_GOME/spectrum_GOME_plot.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | from matplotlib import use
use('WXAgg')
import pylab as plt
import numpy as np
plt.figure(figsize=(8,5))
ax = plt.subplot(111)
fil = './spectrum_GOME.out'
data = np.loadtxt(fil)
y = data[:,1]
x = data[:,0]
pl_list = []
pl, = ax.plot(x,y,'r')
pl_list.append(pl)
y = 10*data[:,3]
pl, = ax.plot(x,y,'... | 26.622222 | 83 | 0.656093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 559 | 0.466611 |
e3018352709a236201cb1c03963553b833bc04b2 | 569 | py | Python | pepdb/tasks/migrations/0026_auto_20171031_0153.py | dchaplinsky/pep.org.ua | 8633a65fb657d7f04dbdb12eb8ae705fa6be67e3 | [
"MIT"
] | 7 | 2015-12-21T03:52:46.000Z | 2020-07-24T19:17:23.000Z | pepdb/tasks/migrations/0026_auto_20171031_0153.py | dchaplinsky/pep.org.ua | 8633a65fb657d7f04dbdb12eb8ae705fa6be67e3 | [
"MIT"
] | 12 | 2016-03-05T18:11:05.000Z | 2021-06-17T20:20:03.000Z | pepdb/tasks/migrations/0026_auto_20171031_0153.py | dchaplinsky/pep.org.ua | 8633a65fb657d7f04dbdb12eb8ae705fa6be67e3 | [
"MIT"
] | 4 | 2016-07-17T20:19:38.000Z | 2021-03-23T12:47:20.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-30 23:53
from __future__ import unicode_literals
from django.db import migrations
from tasks.models import BeneficiariesMatching
def save_json_fields_again(apps, schema_editor):
# Ugly but works
for bf in BeneficiariesMatching.objects.all():
... | 22.76 | 52 | 0.70123 | 191 | 0.335677 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.209139 |
e302119a1e26db2aa7e3d9148ce46b0ec243f446 | 24,156 | py | Python | condensation-forum/application.py | BitFracture/condensation | a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f | [
"BSD-2-Clause"
] | null | null | null | condensation-forum/application.py | BitFracture/condensation | a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f | [
"BSD-2-Clause"
] | 59 | 2018-03-02T03:08:22.000Z | 2018-03-11T01:43:02.000Z | condensation-forum/application.py | BitFracture/condensation | a68a9bbae7a7d35e1542242a4f1588ce3abf9d3f | [
"BSD-2-Clause"
] | null | null | null | """
An AWS Python3+Flask web app.
"""
from flask import Flask, redirect, url_for, request, session, flash, get_flashed_messages, render_template, escape
from flask_oauthlib.client import OAuth
import boto3,botocore
import jinja2
from boto3.dynamodb.conditions import Key, Attr
import urllib.request
import json
import c... | 36.711246 | 123 | 0.638475 | 0 | 0 | 0 | 0 | 20,479 | 0.847781 | 0 | 0 | 7,210 | 0.298477 |
e30514bdd0f30538d4ed999ec163ad0e47c028b6 | 186 | py | Python | CA3/news_test.py | aadyajha12/Covid19-SmartAlarm | 911fe819cff6ef792f14b7dd48cbbb2c73f2405d | [
"MIT"
] | 1 | 2021-03-11T11:57:19.000Z | 2021-03-11T11:57:19.000Z | CA3/news_test.py | aadyajha12/Covid19-SmartAlarm | 911fe819cff6ef792f14b7dd48cbbb2c73f2405d | [
"MIT"
] | null | null | null | CA3/news_test.py | aadyajha12/Covid19-SmartAlarm | 911fe819cff6ef792f14b7dd48cbbb2c73f2405d | [
"MIT"
] | null | null | null | import json
from newsapi import covid_news
def news_test_one():
news_json = json.load(open('gb-news.json'))
news:str = covid_news(news_json)
assert news[0]['title'] != None | 26.571429 | 47 | 0.698925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.112903 |
e30656fdcf081203a75edc6af8dad04320307e06 | 390 | py | Python | 2015/02/fc_2015_02_10.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | null | null | null | 2015/02/fc_2015_02_10.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | 1 | 2015-04-27T01:43:45.000Z | 2015-04-27T01:43:45.000Z | 2015/02/fc_2015_02_10.py | mfwarren/FreeCoding | 58ac87f35ad2004a3514782556762ee0ed72c39a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# imports go here
import atexit
#
# Free Coding session for 2015-02-10
# Written by Matt Warren
#
def clean_up():
print("CLEANING UP")
@atexit.register
def done():
print("DONE")
if __name__ == '__main__':
atexit.register(clean_up)
try:
import time
while True:... | 14.444444 | 36 | 0.623077 | 0 | 0 | 0 | 0 | 46 | 0.117949 | 0 | 0 | 130 | 0.333333 |
e3073fdd2f59dca010998232729affa0626a74d8 | 3,133 | py | Python | core/scheduler/at.py | vsilent/smarty-bot | 963cba05433be14494ba339343c9903ccab3c37d | [
"MIT"
] | 1 | 2016-10-08T09:01:05.000Z | 2016-10-08T09:01:05.000Z | core/scheduler/at.py | vsilent/smarty-bot | 963cba05433be14494ba339343c9903ccab3c37d | [
"MIT"
] | 1 | 2019-09-24T09:56:52.000Z | 2019-09-24T09:56:52.000Z | core/scheduler/at.py | vsilent/smarty-bot | 963cba05433be14494ba339343c9903ccab3c37d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" apscheduler. """
import subprocess
from apscheduler.scheduler import Scheduler
from apscheduler.jobstores.shelve_store import ShelveJobStore
from datetime import date, datetime, timedelta
import os
import shelve
import zmq
from core.config.settings import logger
de... | 25.892562 | 73 | 0.531759 | 2,689 | 0.858283 | 0 | 0 | 0 | 0 | 0 | 0 | 656 | 0.209384 |
e307995e7666610653ffb5c496c1cf1dfe8feab6 | 897 | py | Python | machin/frame/algorithms/__init__.py | ikamensh/machin | af7b423c47bc1412530cf6c96c11bd3af9b3e239 | [
"MIT"
] | 1 | 2021-04-01T21:21:23.000Z | 2021-04-01T21:21:23.000Z | machin/frame/algorithms/__init__.py | ikamensh/machin | af7b423c47bc1412530cf6c96c11bd3af9b3e239 | [
"MIT"
] | null | null | null | machin/frame/algorithms/__init__.py | ikamensh/machin | af7b423c47bc1412530cf6c96c11bd3af9b3e239 | [
"MIT"
] | null | null | null | import warnings
from .base import TorchFramework
from .dqn import DQN
from .dqn_per import DQNPer
from .rainbow import RAINBOW
from .ddpg import DDPG
from .hddpg import HDDPG
from .td3 import TD3
from .ddpg_per import DDPGPer
from .a2c import A2C
from .a3c import A3C
from .ppo import PPO
from .sac import SAC
from .... | 16.924528 | 88 | 0.637681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.227425 |
e3079c30e7e32fd20e5ad106e7daf8c8a6a94f80 | 575 | py | Python | apps/paper/migrations/0008_alter_paper_course.py | godetaph/uresearch | fb23cb0fe07f8b434b9c46f80b5b43030a3d5323 | [
"MIT"
] | null | null | null | apps/paper/migrations/0008_alter_paper_course.py | godetaph/uresearch | fb23cb0fe07f8b434b9c46f80b5b43030a3d5323 | [
"MIT"
] | null | null | null | apps/paper/migrations/0008_alter_paper_course.py | godetaph/uresearch | fb23cb0fe07f8b434b9c46f80b5b43030a3d5323 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.7 on 2021-09-24 02:31
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('preferences', '0002_auto_20210923_2348'),
('paper', '0007_auto_20210923_2353'),
]
operations = [
mi... | 27.380952 | 157 | 0.653913 | 449 | 0.78087 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.286957 |
e308a4fb297dc8f9348bbe1730683c0c197aa336 | 2,925 | py | Python | plaso/cli/helpers/hashers.py | cugu-stars/plaso | a205f8e52dfe4c239aeae5558d572806b7b00e81 | [
"Apache-2.0"
] | 1,253 | 2015-01-02T13:58:02.000Z | 2022-03-31T08:43:39.000Z | plaso/cli/helpers/hashers.py | cugu-stars/plaso | a205f8e52dfe4c239aeae5558d572806b7b00e81 | [
"Apache-2.0"
] | 3,388 | 2015-01-02T11:17:58.000Z | 2022-03-30T10:21:45.000Z | plaso/cli/helpers/hashers.py | cugu-stars/plaso | a205f8e52dfe4c239aeae5558d572806b7b00e81 | [
"Apache-2.0"
] | 376 | 2015-01-20T07:04:54.000Z | 2022-03-04T23:53:00.000Z | # -*- coding: utf-8 -*-
"""The hashers CLI arguments helper."""
from plaso.cli import tools
from plaso.cli.helpers import interface
from plaso.cli.helpers import manager
from plaso.lib import errors
class HashersArgumentsHelper(interface.ArgumentsHelper):
"""Hashers CLI arguments helper."""
NAME = 'hashers'
D... | 36.111111 | 80 | 0.699487 | 2,651 | 0.906325 | 0 | 0 | 2,442 | 0.834872 | 0 | 0 | 1,600 | 0.547009 |
e308f94d9774663e111da5671ce07f0ce2dd542e | 20,297 | py | Python | tutorials/create_sakila/migrations/0001_initial.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | 13 | 2020-11-05T04:22:51.000Z | 2022-02-27T08:44:50.000Z | tutorials/create_sakila/migrations/0001_initial.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | null | null | null | tutorials/create_sakila/migrations/0001_initial.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | 2 | 2020-11-10T10:01:20.000Z | 2021-04-07T02:33:29.000Z | # Generated by Django 3.1.5 on 2021-01-11 08:07
from django.db import migrations, models
import django.db.models.deletion
import django_mysql.models
import utils.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
... | 58.157593 | 3,672 | 0.564862 | 20,462 | 0.991616 | 0 | 0 | 0 | 0 | 0 | 0 | 3,809 | 0.184589 |
e30dad35391d44bf3295ac9fde3a87c8c67a561f | 2,098 | py | Python | ncrf_to_bed.py | makovalab-psu/NoiseCancellingRepeatFinder | b24732ae73a4cef431277664ad4193a0638758c1 | [
"MIT"
] | 16 | 2019-03-30T05:15:53.000Z | 2022-01-28T15:20:06.000Z | ncrf_to_bed.py | makovalab-psu/NoiseCancellingRepeatFinder | b24732ae73a4cef431277664ad4193a0638758c1 | [
"MIT"
] | 8 | 2019-04-04T19:46:08.000Z | 2020-11-18T15:11:53.000Z | ncrf_to_bed.py | makovalab-psu/NoiseCancellingRepeatFinder | b24732ae73a4cef431277664ad4193a0638758c1 | [
"MIT"
] | 6 | 2019-10-05T05:16:00.000Z | 2021-01-28T10:07:49.000Z | #!/usr/bin/env python
"""
Convert the output of Noise Cancelling Repeat Finder to bed format.
"""
from sys import argv,stdin,stdout,stderr,exit
from os import path as os_path
from ncrf_parse import alignments,parse_noise_rate
def usage(s=None):
message = """
usage: ncrf_cat <output_from_NCRF> | ncrf_... | 29.549296 | 76 | 0.605815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,012 | 0.482364 |
e30fa4b4018e2cb629164838090fb39449877a74 | 2,551 | py | Python | advertorch/tests/test_utilities.py | sleepstagingrest/rest | cf0de7ae82b6b74fe23e9d057214970cd3c9672d | [
"MIT"
] | 18 | 2020-02-03T07:14:40.000Z | 2021-12-20T18:45:43.000Z | advertorch/tests/test_utilities.py | sleepstagingrest/rest | cf0de7ae82b6b74fe23e9d057214970cd3c9672d | [
"MIT"
] | 11 | 2020-01-28T23:16:25.000Z | 2022-02-10T01:04:56.000Z | advertorch/tests/test_utilities.py | sleepstagingrest/REST | cf0de7ae82b6b74fe23e9d057214970cd3c9672d | [
"MIT"
] | 2 | 2020-08-20T08:15:09.000Z | 2021-02-23T07:30:40.000Z | # Copyright (c) 2018-present, Royal Bank of Canada.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import numpy as np
import torch
import torchvision.transforms.functional as F
from advertorch.utils im... | 30.73494 | 74 | 0.717758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.085065 |
e30ff60533abef30a592ebe83ada7b1e9f61003f | 5,595 | py | Python | RV/portfolio/portfolio/hindex.py | rmomizo/portfolio_bot | b7854c4b5c9f32e9631389bb2238b5bb30d54c8e | [
"MIT"
] | null | null | null | RV/portfolio/portfolio/hindex.py | rmomizo/portfolio_bot | b7854c4b5c9f32e9631389bb2238b5bb30d54c8e | [
"MIT"
] | null | null | null | RV/portfolio/portfolio/hindex.py | rmomizo/portfolio_bot | b7854c4b5c9f32e9631389bb2238b5bb30d54c8e | [
"MIT"
] | null | null | null | from __future__ import division
import itertools
import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
import random
from random import shuffle
from collections import Counter
def flatten_list(somelist):
if any(isinstance(el, list) for el in somelist) == False:
return somelist
... | 32.719298 | 94 | 0.557283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,101 | 0.196783 |
e3106531f1b9e6f9266ac05f2587a787cfc4e699 | 1,316 | py | Python | operators/device_output.py | a1exwang/fm-synth | fb14aa1dec3798b15a607ac03442decf322bebee | [
"MIT"
] | 3 | 2018-01-18T12:25:38.000Z | 2020-03-19T13:19:31.000Z | operators/device_output.py | a1exwang/fm-synth | fb14aa1dec3798b15a607ac03442decf322bebee | [
"MIT"
] | 4 | 2017-04-24T16:36:59.000Z | 2017-05-11T11:23:44.000Z | operators/device_output.py | a1exwang/fm-synth | fb14aa1dec3798b15a607ac03442decf322bebee | [
"MIT"
] | null | null | null | from PyQt5.QtCore import pyqtSlot
from channels.channel import Channel
from operators.base import OutputOperator
import numpy as np
class DeviceOutput(OutputOperator):
def __init__(self, input_ops, volume=1.0, name=None):
super().__init__(input_ops, name)
self.total_count = 0
self.stream =... | 34.631579 | 105 | 0.575988 | 1,181 | 0.897416 | 0 | 0 | 182 | 0.138298 | 0 | 0 | 98 | 0.074468 |
e31093c826bcdc408129c3db911766a20c8f8973 | 524 | py | Python | code/0217-containsDuplicate.py | RRRoger/LeetCodeExercise | 0019a048fcfac9ac9e6f37651b17d01407c92c7d | [
"MIT"
] | null | null | null | code/0217-containsDuplicate.py | RRRoger/LeetCodeExercise | 0019a048fcfac9ac9e6f37651b17d01407c92c7d | [
"MIT"
] | null | null | null | code/0217-containsDuplicate.py | RRRoger/LeetCodeExercise | 0019a048fcfac9ac9e6f37651b17d01407c92c7d | [
"MIT"
] | null | null | null | class Solution(object):
def isPowerOfTwo(self, n):
"""
:type n: int
:rtype: bool
"""
# 左移
if n == 1:
return True
power = 0
flag = True
while flag:
val = 2 << power
if val == n:
return True
... | 15.878788 | 34 | 0.412214 | 400 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.142045 |
e310a6a628079388cd4034e0733f019c20a04124 | 308 | py | Python | yak/rest_social_auth/utils.py | johnchuks/YAK-server | 910af81a7b23e88585479131886c627e33163de1 | [
"MIT"
] | 15 | 2015-10-10T07:56:23.000Z | 2021-07-26T14:39:17.000Z | yak/rest_social_auth/utils.py | johnchuks/YAK-server | 910af81a7b23e88585479131886c627e33163de1 | [
"MIT"
] | 26 | 2015-01-06T00:43:50.000Z | 2018-10-29T03:12:09.000Z | yak/rest_social_auth/utils.py | johnchuks/YAK-server | 910af81a7b23e88585479131886c627e33163de1 | [
"MIT"
] | 8 | 2015-09-28T14:47:52.000Z | 2018-02-09T18:53:53.000Z | from celery.task import task
from django.conf import settings
from social_core.backends.utils import get_backend
@task
def post_social_media(user_social_auth, social_obj):
backend = get_backend(settings.AUTHENTICATION_BACKENDS, user_social_auth.provider)
backend.post(user_social_auth, social_obj)
| 30.8 | 86 | 0.834416 | 0 | 0 | 0 | 0 | 192 | 0.623377 | 0 | 0 | 0 | 0 |
e312667320932a26f8caa618268190a0a7f675cc | 7,753 | py | Python | filepath/NuclearCMC_raw_data_file_list.py | hbar/alsTomographyTools | ec1edd1477367a57ee94e806134aee92e57db977 | [
"MIT"
] | null | null | null | filepath/NuclearCMC_raw_data_file_list.py | hbar/alsTomographyTools | ec1edd1477367a57ee94e806134aee92e57db977 | [
"MIT"
] | null | null | null | filepath/NuclearCMC_raw_data_file_list.py | hbar/alsTomographyTools | ec1edd1477367a57ee94e806134aee92e57db977 | [
"MIT"
] | null | null | null |
#pathList = [
#"/global/project/projectdirs/als/spade/warehouse/als/bl832/phosemann/20160512_092220_tensile7_T700_240mic/raw/20160512_092220_tensile7_T700_240mic.h5",
#"/global/project/projectdirs/als/spade/warehouse/als/bl832/phosemann/20160512_085327_tensile7_T700_200mic/raw/20160512_085327_tensile7_T700_200mic.h... | 40.591623 | 159 | 0.864569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,151 | 0.922353 |
e312d0f86ad81db6700f196a91af6d00bac33137 | 3,870 | py | Python | app/discal/cogs/handler.py | Shirataki2/DisCalendar | cfb5ecad6c65911fbb041cbc585d86588de125f5 | [
"MIT"
] | 6 | 2020-11-29T08:04:07.000Z | 2021-05-07T11:05:10.000Z | app/discal/cogs/handler.py | Shirataki2/DisCalendar | cfb5ecad6c65911fbb041cbc585d86588de125f5 | [
"MIT"
] | 139 | 2020-11-24T23:37:03.000Z | 2022-03-30T00:18:09.000Z | app/discal/cogs/handler.py | Shirataki2/DisCalendar | cfb5ecad6c65911fbb041cbc585d86588de125f5 | [
"MIT"
] | 1 | 2021-02-01T15:07:17.000Z | 2021-02-01T15:07:17.000Z | import asyncio
import json
import discord
from discord.ext import commands, tasks
from discal.bot import Bot
from datetime import datetime, timedelta
from discal.logger import get_module_logger
logger = get_module_logger(__name__)
class Handler(commands.Cog):
def __init__(self, bot):
self.bot: Bot = bot... | 36.168224 | 100 | 0.496382 | 3,662 | 0.928028 | 0 | 0 | 501 | 0.126964 | 3,418 | 0.866194 | 727 | 0.184237 |
e312d4733d2d6ab5dadd53371794d5b4269ec969 | 2,738 | py | Python | nids/enipcip/enip_cpf.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 4 | 2019-12-17T08:59:57.000Z | 2022-01-09T19:52:27.000Z | nids/enipcip/enip_cpf.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 3 | 2020-08-13T16:05:46.000Z | 2021-10-17T07:49:33.000Z | nids/enipcip/enip_cpf.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 4 | 2017-06-14T23:41:50.000Z | 2021-03-01T18:54:03.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# Copyright (c) 2015 David I. Urbina, david.urbina@utdallas.edu
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including... | 36.506667 | 106 | 0.685172 | 1,347 | 0.491965 | 0 | 0 | 0 | 0 | 0 | 0 | 1,475 | 0.538714 |
e314ca5cb9348b5a95152247da6288de4e244796 | 1,103 | py | Python | programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py | andriidem308/python_practice | 85a0ebd6ecbecf63eaba170c8279f0a88600237a | [
"MIT"
] | 2 | 2020-01-27T11:58:54.000Z | 2020-03-30T10:54:08.000Z | programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py | andriidem308/python_practice | 85a0ebd6ecbecf63eaba170c8279f0a88600237a | [
"MIT"
] | null | null | null | programming_hw_4s/tasks_with_eolymp_tags/t_7_6_(eolimp_5089).py | andriidem308/python_practice | 85a0ebd6ecbecf63eaba170c8279f0a88600237a | [
"MIT"
] | null | null | null | def merge_sort(arr):
if len(arr) > 1:
middle = len(arr) // 2
lefthalf = arr[:middle]
righthalf = arr[middle:]
merge_sort(lefthalf)
merge_sort(righthalf)
i = j = k = 0
while i < len(lefthalf) and j < len(righthalf):
if lefthalf[i] < righthalf[j]:... | 19.350877 | 55 | 0.44243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.019039 |
e31548410089b175367898405bf5be3d08d7b387 | 418 | py | Python | electionleaflets/apps/content/models.py | electionleaflets/electionleaflets | 4110e96a3035c32d0b6ff3c9f832c5e003728170 | [
"MIT"
] | null | null | null | electionleaflets/apps/content/models.py | electionleaflets/electionleaflets | 4110e96a3035c32d0b6ff3c9f832c5e003728170 | [
"MIT"
] | 23 | 2015-02-19T14:02:23.000Z | 2015-04-30T11:14:01.000Z | electionleaflets/apps/content/models.py | electionleaflets/electionleaflets | 4110e96a3035c32d0b6ff3c9f832c5e003728170 | [
"MIT"
] | 2 | 2015-02-02T19:39:54.000Z | 2017-02-08T09:19:53.000Z | from django.db import models
class ContentBlock(models.Model):
"""
A simple block of HTML content that can be used by various sections of the
site based on the provided name, which acts as a key.
"""
name = models.CharField(max_length=64)
content = models.TextField(blank=True)
def __... | 24.588235 | 79 | 0.662679 | 386 | 0.923445 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.392344 |
e316c0dee9255d1c94a21d0fb077092ad8593724 | 162 | py | Python | Python/1017.py | lucasferreiraa/uri-judge-respostas | f5fc659d53c6b512a3624764041675e62d3fa053 | [
"MIT"
] | null | null | null | Python/1017.py | lucasferreiraa/uri-judge-respostas | f5fc659d53c6b512a3624764041675e62d3fa053 | [
"MIT"
] | null | null | null | Python/1017.py | lucasferreiraa/uri-judge-respostas | f5fc659d53c6b512a3624764041675e62d3fa053 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# URI Judge - Problema 1017
tempo = int(input())
velocidade = int(input())
litros = (velocidade / 12.0) * tempo
print("%.3f" % litros)
| 16.2 | 36 | 0.604938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.345679 |
e316f4ba8d78958af8ea71861f55f56a0c25786e | 765 | py | Python | Algorithms and Data Structures/sort/qks.py | ioyy900205/PyTorch_mess-around | 90d255e17158699fd7902f7746b35fa18975112e | [
"MIT"
] | null | null | null | Algorithms and Data Structures/sort/qks.py | ioyy900205/PyTorch_mess-around | 90d255e17158699fd7902f7746b35fa18975112e | [
"MIT"
] | null | null | null | Algorithms and Data Structures/sort/qks.py | ioyy900205/PyTorch_mess-around | 90d255e17158699fd7902f7746b35fa18975112e | [
"MIT"
] | null | null | null | '''
Date: 2021-08-10 17:17:35
LastEditors: Liuliang
LastEditTime: 2021-08-10 18:27:56
Description:
'''
import random
import sys
sys.path.append("..")
from bacic_module.random_int_list import random_int_list
def partition(nums, left, right):
tmp = nums[left]
while left < right:
while left<right a... | 21.25 | 56 | 0.605229 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.139869 |
e318e94372f3438841131a8e520812b4b488dc1f | 2,144 | py | Python | Core/config/CYCEnv/run_json_CYC_envs.py | geoffroygivry/CyclopsVFX-Unity | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 17 | 2017-06-27T04:14:42.000Z | 2022-03-07T03:37:44.000Z | Core/config/CYCEnv/run_json_CYC_envs.py | geoffroygivry/Cyclops-VFX | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 2 | 2017-06-14T04:17:51.000Z | 2018-08-23T20:12:44.000Z | Core/config/CYCEnv/run_json_CYC_envs.py | geoffroygivry/CyclopsVFX-Unity | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 2 | 2019-03-18T06:18:33.000Z | 2019-08-14T21:07:53.000Z | import os
import json
def create_json_CYC_envs(root_dir):
DI_ROOT = root_dir
CYC_ROOT = "%s/CyclopsVFX" % DI_ROOT
DATA_FILENAME = os.path.join(CYC_ROOT, "CYC_envs.json")
CYC_HYDRA_PATH = "%s/Hydra" % (CYC_ROOT)
CYC_HYDRA_CACHE = "%s/Hydra/cache" % (CYC_ROOT)
CYC_CORE_PATH = "%s/Core/... | 39.703704 | 65 | 0.58722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.283116 |
e31a51d9bad6493d50583997c938e58165b7c257 | 956 | py | Python | tests/some_test.py | ShashkovS/drawzero | 3722b2fccb655779b6b62e97b1584683413d7fc0 | [
"MIT"
] | 2 | 2020-08-06T09:51:43.000Z | 2020-08-06T10:03:58.000Z | tests/some_test.py | ShashkovS/drawzero | 3722b2fccb655779b6b62e97b1584683413d7fc0 | [
"MIT"
] | null | null | null | tests/some_test.py | ShashkovS/drawzero | 3722b2fccb655779b6b62e97b1584683413d7fc0 | [
"MIT"
] | null | null | null | import unittest
import drawzero
class ColorTest(unittest.TestCase):
def test_wrong_color(self):
self.assertRaises(TypeError, drawzero._make_color, '#abcd')
self.assertRaises(TypeError, drawzero._make_color, 'dummy')
self.assertRaises(TypeError, drawzero._make_color, '#aabbZZ')
self... | 38.24 | 80 | 0.614017 | 790 | 0.82636 | 0 | 0 | 0 | 0 | 0 | 0 | 151 | 0.15795 |
e31af962393b8a7c27bf698791ef898144c732f5 | 4,143 | py | Python | test/unit/api/test_api_safety.py | technocreep/FEDOT | c11f19d1d231bd9c1d96d6e39d14697a028f6272 | [
"BSD-3-Clause"
] | null | null | null | test/unit/api/test_api_safety.py | technocreep/FEDOT | c11f19d1d231bd9c1d96d6e39d14697a028f6272 | [
"BSD-3-Clause"
] | null | null | null | test/unit/api/test_api_safety.py | technocreep/FEDOT | c11f19d1d231bd9c1d96d6e39d14697a028f6272 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from fedot.api.api_utils.api_data import ApiDataProcessor
from fedot.api.api_utils.api_data_analyser import DataAnalyser
from fedot.api.main import Fedot
from fedot.core.data.data import InputData
from fedot.core.repository.dataset_types import DataTypesEnum
from fedot.core.repository.tasks import T... | 42.71134 | 118 | 0.69901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 906 | 0.218682 |
e31bbe934af2c97028c0e66dc59a02ae268f0c31 | 7,765 | py | Python | parallelpy/parallelpy.py | krober/parallelpy | 356fa0b75d3de2fa695b2fd64f0a53555f6bf55f | [
"MIT"
] | null | null | null | parallelpy/parallelpy.py | krober/parallelpy | 356fa0b75d3de2fa695b2fd64f0a53555f6bf55f | [
"MIT"
] | 1 | 2018-08-26T03:01:18.000Z | 2018-08-26T03:01:18.000Z | parallelpy/parallelpy.py | krober/parallelpy | 356fa0b75d3de2fa695b2fd64f0a53555f6bf55f | [
"MIT"
] | null | null | null | from multiprocessing import cpu_count, Manager, Process
from time import sleep
class Parallelizer:
def __init__(
self,
*,
target: 'function',
args: list,
enable_results: bool,
auto_proc_count: bool,
max_proc_count: int):
... | 34.665179 | 79 | 0.582228 | 7,683 | 0.98944 | 0 | 0 | 0 | 0 | 0 | 0 | 3,618 | 0.465937 |
e31cd77f7061ef13a9e31f26ee8ba9f374dfc272 | 9,781 | py | Python | sfa/util/api.py | planetlab/sfa | d0f743e245e0bb24d7ed1016bcc6e61d1e558a95 | [
"MIT"
] | 1 | 2015-11-19T13:34:45.000Z | 2015-11-19T13:34:45.000Z | sfa/util/api.py | planetlab/sfa | d0f743e245e0bb24d7ed1016bcc6e61d1e558a95 | [
"MIT"
] | null | null | null | sfa/util/api.py | planetlab/sfa | d0f743e245e0bb24d7ed1016bcc6e61d1e558a95 | [
"MIT"
] | null | null | null | #
# SFA XML-RPC and SOAP interfaces
#
import sys
import os
import traceback
import string
import xmlrpclib
import sfa.util.xmlrpcprotocol as xmlrpcprotocol
from sfa.util.sfalogging import logger
from sfa.trust.auth import Auth
from sfa.util.config import *
from sfa.util.faults import *
from sfa.util.cache import Cache... | 34.807829 | 112 | 0.618546 | 7,146 | 0.7306 | 0 | 0 | 0 | 0 | 0 | 0 | 2,873 | 0.293733 |
e31d9fd874884c64a5cfd7e556213a44724536fb | 9,507 | py | Python | deanslist/deanslist.py | upeducationnetwork/deanslist-python | 226eda2580055427119397bc28e7976f019d7301 | [
"MIT"
] | null | null | null | deanslist/deanslist.py | upeducationnetwork/deanslist-python | 226eda2580055427119397bc28e7976f019d7301 | [
"MIT"
] | 2 | 2016-05-16T19:54:26.000Z | 2016-05-20T12:02:20.000Z | deanslist/deanslist.py | upeducationnetwork/deanslist-python | 226eda2580055427119397bc28e7976f019d7301 | [
"MIT"
] | null | null | null | __author__ = 'rknight'
import os
import csv
import logging
import datetime
from requests_futures.sessions import FuturesSession
def dl(reports, dlkeys):
# Primary call
# Send requests
allreports = dlrequest(reports=reports, dlkeys=dlkeys)
# Write results
for outreport in allreports.keys():
... | 31.376238 | 141 | 0.577154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,714 | 0.285474 |
e31da554e9612910aa7b87468de6e4101ac08273 | 7,210 | py | Python | anchore_engine/services/policy_engine/api/models/image.py | roachmd/anchore-engine | 521d6796778139a95f51542670714205c2735a81 | [
"Apache-2.0"
] | null | null | null | anchore_engine/services/policy_engine/api/models/image.py | roachmd/anchore-engine | 521d6796778139a95f51542670714205c2735a81 | [
"Apache-2.0"
] | null | null | null | anchore_engine/services/policy_engine/api/models/image.py | roachmd/anchore-engine | 521d6796778139a95f51542670714205c2735a81 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from anchore_engine.services.policy_engine.api.models.base_model_ import Model
from anchore_engine.services.policy_engine.api import util
class Image(Model):
"""N... | 27.414449 | 156 | 0.59251 | 6,917 | 0.959362 | 0 | 0 | 4,795 | 0.665049 | 0 | 0 | 4,422 | 0.613315 |
e31e1e564d0eb470b1f222fdeb2e2e5813305ea2 | 28,531 | py | Python | src/pte_decode/decoding/decoder_factory.py | richardkoehler/pte-decode | d1a466c166e5c3dd5e2c0caf1b12492f0e93bc57 | [
"MIT"
] | null | null | null | src/pte_decode/decoding/decoder_factory.py | richardkoehler/pte-decode | d1a466c166e5c3dd5e2c0caf1b12492f0e93bc57 | [
"MIT"
] | null | null | null | src/pte_decode/decoding/decoder_factory.py | richardkoehler/pte-decode | d1a466c166e5c3dd5e2c0caf1b12492f0e93bc57 | [
"MIT"
] | null | null | null | """Module for machine learning models."""
from dataclasses import dataclass
from typing import Any, Optional, Union
import numpy as np
import pandas as pd
from bayes_opt import BayesianOptimization
from catboost import CatBoostClassifier
from sklearn.discriminant_analysis import (
LinearDiscriminantAnalysis,
... | 33.68477 | 78 | 0.537836 | 25,699 | 0.90074 | 0 | 0 | 24,335 | 0.852932 | 0 | 0 | 12,766 | 0.447443 |
e3203c55f3123f00f21c9072e3c16a2c74fb421f | 7,603 | py | Python | pikoToHM.py | lucasHSA/piko | a0bca6bfbdf1ecf95fd8dcca563350c676d2edf7 | [
"MIT"
] | null | null | null | pikoToHM.py | lucasHSA/piko | a0bca6bfbdf1ecf95fd8dcca563350c676d2edf7 | [
"MIT"
] | 1 | 2016-07-18T08:24:50.000Z | 2016-12-17T09:19:07.000Z | pikoToHM.py | lucasHSA/piko | a0bca6bfbdf1ecf95fd8dcca563350c676d2edf7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2015 Lucas Koegel
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the ri... | 42.47486 | 145 | 0.663422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,464 | 0.45549 |
e321f4353a25d31bcaa64e339213294f5626c9c9 | 480 | py | Python | src/default/ellipse/index.py | mikeludemann/python-data-visualization | e5317505d41ae79389f6eec61cefeca1690935b0 | [
"MIT"
] | null | null | null | src/default/ellipse/index.py | mikeludemann/python-data-visualization | e5317505d41ae79389f6eec61cefeca1690935b0 | [
"MIT"
] | null | null | null | src/default/ellipse/index.py | mikeludemann/python-data-visualization | e5317505d41ae79389f6eec61cefeca1690935b0 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
NUM = 250
ells = [Ellipse(xy=np.random.rand(2) * 10,
width=np.random.rand(), height=np.random.rand(),
angle=np.random.rand() * 360)
for i in range(NUM)]
fig, ax = plt.subplots(subplot_kw={'aspect': 'equal'})
for e in ells:
... | 20.869565 | 54 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.03125 |
e32283e627f56eef0ab47dab2fb3694cb482ef8d | 231 | py | Python | hdc-utility/model/Formation.py | YSRKEN/HDC_React2 | cba48a0563caef629169644254742f688a0e1ec7 | [
"MIT"
] | null | null | null | hdc-utility/model/Formation.py | YSRKEN/HDC_React2 | cba48a0563caef629169644254742f688a0e1ec7 | [
"MIT"
] | 13 | 2020-09-04T23:25:20.000Z | 2022-02-18T01:52:33.000Z | hdc-utility/model/Formation.py | YSRKEN/HDC_React2 | cba48a0563caef629169644254742f688a0e1ec7 | [
"MIT"
] | null | null | null | from enum import Enum
class Formation(Enum):
LINE_AHEAD = 0 # 単縦陣
DOUBLE_LINE = 1 # 複縦陣
DIAMOND = 2 # 輪形陣
ECHELON = 3 # 梯形陣
LINE_ABREAST = 4 # 単横陣
FORMATION_3 = 5 # 第3陣形(第三警戒航行序列(輪形陣))
| 21 | 43 | 0.562771 | 264 | 0.913495 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.359862 |
e323376f728d32ac2cbf19f89a6bf1e46c450382 | 638 | py | Python | _/chapter5-OpenStack/IdentityService/createproject.py | paullewallencom/hybrid-cloud-978-1-7888-3087-4 | d101553fd342f420b581b87c58c7219f2b04a7c6 | [
"Apache-2.0"
] | 3 | 2018-03-27T14:34:48.000Z | 2021-10-04T16:28:19.000Z | _/chapter5-OpenStack/IdentityService/createproject.py | paullewallencom/hybrid-cloud-978-1-7888-3087-4 | d101553fd342f420b581b87c58c7219f2b04a7c6 | [
"Apache-2.0"
] | null | null | null | _/chapter5-OpenStack/IdentityService/createproject.py | paullewallencom/hybrid-cloud-978-1-7888-3087-4 | d101553fd342f420b581b87c58c7219f2b04a7c6 | [
"Apache-2.0"
] | 1 | 2021-08-27T23:51:28.000Z | 2021-08-27T23:51:28.000Z | #import OpenStack connection class from the SDK
from openstack import connection
# Create a connection object by calling the constructor and pass the security information
conn = connection.Connection(auth_url="http://192.168.0.106/identity",
project_name="demo",
username="admin",
password="manoj",
user_domain_id="defa... | 30.380952 | 89 | 0.714734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.456113 |
e323be496777a0e952195a0a60b4f2ae474d9dd5 | 849 | py | Python | bisection.py | Raijeku/Optimizacion | b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b | [
"Apache-2.0"
] | null | null | null | bisection.py | Raijeku/Optimizacion | b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b | [
"Apache-2.0"
] | null | null | null | bisection.py | Raijeku/Optimizacion | b06c302c3edbdb3a2a2b378b0c53baaf9fe69c2b | [
"Apache-2.0"
] | null | null | null | from sympy import *
import pandas as pd
def bisection(xl, xu, tolerance, function):
x = Symbol('x')
f = parse_expr(function)
iteration = 0
data = pd.DataFrame(columns=['iteration','xl','xu','xr','f(xl)','f(xu)','f(xr)','f(xl)f(xr)','error'])
while abs(xu-xl)>=tolerance:
xr = (xl + xu)/2
... | 30.321429 | 212 | 0.522968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.190813 |
e323ed5e92eb5da83c0443afabf48a5b468396f3 | 176 | py | Python | gd/utils/crypto/__init__.py | scottwedge/gd.py | 328c9833abc949b1c9ac0eabe276bd66fead4c2c | [
"MIT"
] | null | null | null | gd/utils/crypto/__init__.py | scottwedge/gd.py | 328c9833abc949b1c9ac0eabe276bd66fead4c2c | [
"MIT"
] | null | null | null | gd/utils/crypto/__init__.py | scottwedge/gd.py | 328c9833abc949b1c9ac0eabe276bd66fead4c2c | [
"MIT"
] | null | null | null | """Main module for operating on crypted/encoded strings in Geometry Dash"""
from gd.utils.crypto.coders import Coder
from gd.utils.crypto.xor_cipher import XORCipher as xor
| 44 | 76 | 0.795455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.426136 |
e324c2b47225b873ec4b37a7708b700104f77b26 | 3,684 | py | Python | subt/ros/base/src/motor_controller.py | m3d/osgar_archive_2020 | 556b534e59f8aa9b6c8055e2785c8ae75a1a0a0e | [
"MIT"
] | 12 | 2017-02-16T10:22:59.000Z | 2022-03-20T05:48:06.000Z | subt/ros/base/src/motor_controller.py | m3d/osgar_archive_2020 | 556b534e59f8aa9b6c8055e2785c8ae75a1a0a0e | [
"MIT"
] | 618 | 2016-08-30T04:46:12.000Z | 2022-03-25T16:03:10.000Z | subt/ros/base/src/motor_controller.py | robotika/osgar | 6f4f584d5553ab62c08a1c7bb493fefdc9033173 | [
"MIT"
] | 11 | 2016-08-27T20:02:55.000Z | 2022-03-07T08:53:53.000Z | from pid import PID
import pdb
#for anonymous objects
Object = lambda **kwargs: type("Object", (), kwargs)
class MotorController:
def __init__(self, wheelBase,numberOfMotors):
self.pidControllerFrontLeft = PID()
self.pidControllerFrontRight = PID()
self.pidControllerRearLeft = PID()
... | 47.844156 | 140 | 0.659609 | 3,547 | 0.962812 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.254072 |
e325abcd58eea788430716963a4dc7047047719c | 4,931 | py | Python | shiftscheduler/gui/barebone.py | c-rainbow/nurse-scheduling | 8537c875e46772700499a89dec3a30a796434fe0 | [
"MIT"
] | 2 | 2020-04-16T17:03:56.000Z | 2021-04-08T17:23:21.000Z | shiftscheduler/gui/barebone.py | c-rainbow/nurse-scheduling | 8537c875e46772700499a89dec3a30a796434fe0 | [
"MIT"
] | null | null | null | shiftscheduler/gui/barebone.py | c-rainbow/nurse-scheduling | 8537c875e46772700499a89dec3a30a796434fe0 | [
"MIT"
] | 1 | 2020-05-04T18:03:59.000Z | 2020-05-04T18:03:59.000Z |
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox
from tkinter import scrolledtext
from tkinter import ttk
import tkcalendar as tkc
from shiftscheduler.data_types import data_types
from shiftscheduler.excel import output as excel_output
from shiftscheduler.gui import constants
from ... | 35.47482 | 110 | 0.636585 | 4,617 | 0.892174 | 0 | 0 | 0 | 0 | 0 | 0 | 1,127 | 0.217778 |
e3274579faa2032556dd5e38f0e928addfcdc145 | 1,093 | py | Python | orders/migrations/0001_initial.py | MahmudulHassan5809/Ecommerce-WebSite-With-Django2 | a9c76e6e925e236ba064be194a03d9d6635edac2 | [
"MIT"
] | 1 | 2021-09-24T04:32:35.000Z | 2021-09-24T04:32:35.000Z | orders/migrations/0001_initial.py | MahmudulHassan5809/Ecommerce-WebSite-With-Django2 | a9c76e6e925e236ba064be194a03d9d6635edac2 | [
"MIT"
] | null | null | null | orders/migrations/0001_initial.py | MahmudulHassan5809/Ecommerce-WebSite-With-Django2 | a9c76e6e925e236ba064be194a03d9d6635edac2 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.5 on 2019-01-26 19:42
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Order',
fields=[
('id', mod... | 34.15625 | 123 | 0.563586 | 984 | 0.900274 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.129918 |
e3278fc449a9b7f42367d6c094639616a86c1514 | 353 | py | Python | setup.py | markus61/selfstoredict | c770fd0dd4976e66299f51f71a71ad9c1875d699 | [
"MIT"
] | 1 | 2017-01-18T11:19:24.000Z | 2017-01-18T11:19:24.000Z | setup.py | markus61/selfstoredict | c770fd0dd4976e66299f51f71a71ad9c1875d699 | [
"MIT"
] | null | null | null | setup.py | markus61/selfstoredict | c770fd0dd4976e66299f51f71a71ad9c1875d699 | [
"MIT"
] | 1 | 2018-02-23T06:23:43.000Z | 2018-02-23T06:23:43.000Z | from setuptools import setup, find_packages
setup(
name='selfstoredict',
version='0.6',
packages=find_packages(),
url='https://github.com/markus61/selfstoredict',
license='MIT',
author='markus',
author_email='ms@dom.de',
description='a python class delivering a dict that stores itself in... | 29.416667 | 101 | 0.696884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 171 | 0.484419 |
e328edcf699e6d13889b75058d9c53daede11262 | 428 | py | Python | play.py | Samitha156/100-days-of-coding | b47aff0f6d432945a20a5f95e2252cddb6cc5522 | [
"MIT"
] | null | null | null | play.py | Samitha156/100-days-of-coding | b47aff0f6d432945a20a5f95e2252cddb6cc5522 | [
"MIT"
] | null | null | null | play.py | Samitha156/100-days-of-coding | b47aff0f6d432945a20a5f95e2252cddb6cc5522 | [
"MIT"
] | null | null | null | def add(*args):
c = 0
for n in args:
c += n
return c
sum = add(2,5,6,5)
print(sum)
def calculate(**kwargs):
print(kwargs)
calculate(add=3, mul=5)
class Car:
def __init__(self, **kw):
# self.make = kw["make"]
# self.model = kw["model"]
self.ma... | 17.12 | 36 | 0.514019 | 186 | 0.434579 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.170561 |
e3294c6b906349f5541063a2b6f7ca5cb0e7e90b | 21,406 | py | Python | lib/simpleauth/handler.py | Bekt/tweetement | 5cdb2e7db30a1600fbf522754c4917f8c9e377a6 | [
"MIT"
] | 2 | 2015-02-18T17:31:58.000Z | 2019-04-01T13:44:45.000Z | lib/simpleauth/handler.py | Bekt/tweetement | 5cdb2e7db30a1600fbf522754c4917f8c9e377a6 | [
"MIT"
] | 1 | 2015-01-26T03:58:19.000Z | 2015-01-26T03:58:19.000Z | lib/simpleauth/handler.py | Bekt/tweetement | 5cdb2e7db30a1600fbf522754c4917f8c9e377a6 | [
"MIT"
] | 1 | 2021-05-04T21:15:53.000Z | 2021-05-04T21:15:53.000Z | # -*- coding: utf-8 -*-
import os
import sys
import logging
import json
from urllib import urlencode
import urlparse
# for CSRF state tokens
import time
import base64
# Get available json parser
try:
# should be the fastest on App Engine py27.
import json
except ImportError:
try:
import simplejson as json
... | 34.525806 | 80 | 0.679996 | 20,386 | 0.952305 | 0 | 0 | 0 | 0 | 0 | 0 | 9,713 | 0.45373 |
e32db38efba021a5263a02a0f603ee6533341d64 | 766 | py | Python | test.py | litex-hub/pythondata-cpu-ibex | 9775779f0770fc635a17dfc467cb8d5afdf01d1d | [
"Apache-2.0"
] | 2 | 2021-02-18T00:27:38.000Z | 2021-05-12T21:57:41.000Z | test.py | litex-hub/pythondata-cpu-ibex | 9775779f0770fc635a17dfc467cb8d5afdf01d1d | [
"Apache-2.0"
] | null | null | null | test.py | litex-hub/pythondata-cpu-ibex | 9775779f0770fc635a17dfc467cb8d5afdf01d1d | [
"Apache-2.0"
] | 1 | 2021-04-28T02:42:51.000Z | 2021-04-28T02:42:51.000Z | #!/usr/bin/env python3
from __future__ import print_function
import os
import pythondata_cpu_ibex
print("Found ibex @ version", pythondata_cpu_ibex.version_str, "(with data", pythondata_cpu_ibex.data_version_str, ")")
print()
print("Data is in", pythondata_cpu_ibex.data_location)
assert os.path.exists(pythondata_cp... | 31.916667 | 119 | 0.765013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.146214 |
e331235f5a65953d372c517da81e56d9c43aa850 | 2,652 | py | Python | scenegraph/pddlgym_planners/lapkt.py | taskography/3dscenegraph-dev | 2c261241230fbea1f1c687ff793478248f25c02c | [
"MIT"
] | 1 | 2022-01-30T22:06:57.000Z | 2022-01-30T22:06:57.000Z | scenegraph/pddlgym_planners/lapkt.py | taskography/3dscenegraph-dev | 2c261241230fbea1f1c687ff793478248f25c02c | [
"MIT"
] | null | null | null | scenegraph/pddlgym_planners/lapkt.py | taskography/3dscenegraph-dev | 2c261241230fbea1f1c687ff793478248f25c02c | [
"MIT"
] | null | null | null | """LAPKT-BFWS
https://github.com/nirlipo/BFWS-public
"""
import re
import os
import sys
import subprocess
import tempfile
from pddlgym_planners.pddl_planner import PDDLPlanner
from pddlgym_planners.planner import PlanningFailure
import numpy as np
from utils import FilesInCommonTempDirectory
DOCKER_IMAGE = 'khodeir/b... | 42.774194 | 232 | 0.667044 | 2,319 | 0.874434 | 0 | 0 | 0 | 0 | 0 | 0 | 671 | 0.253017 |
e33575c4ac98eb7bd72db9483692a67e2a8b1c0f | 1,914 | py | Python | Create Network Zones.py | Tosatsu/okta-python-scripts | bca5ff89b8fc2381ccab08de971f65505ed0cda5 | [
"MIT"
] | 1 | 2021-04-09T09:46:31.000Z | 2021-04-09T09:46:31.000Z | Create Network Zones.py | Tosatsu/okta-python-scripts | bca5ff89b8fc2381ccab08de971f65505ed0cda5 | [
"MIT"
] | null | null | null | Create Network Zones.py | Tosatsu/okta-python-scripts | bca5ff89b8fc2381ccab08de971f65505ed0cda5 | [
"MIT"
] | 1 | 2021-04-12T11:27:13.000Z | 2021-04-12T11:27:13.000Z | import csv
import re
import sys
import requests
import json
import Data # data container, replace with your own
orgName = Data.orgName # replace with your own
apiKey = Data.apiKey # provide your own API token
api_token = "SSWS " + apiKey
headers = {'Accept': 'application/json',
'Content-Type': 'application... | 29.90625 | 71 | 0.405434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.241379 |
e33639a848594d63e324d70460cacf9ae086d33c | 959 | py | Python | simulador_de_dado.py | lucianoferreirasa/PythonProjects | c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5 | [
"MIT"
] | null | null | null | simulador_de_dado.py | lucianoferreirasa/PythonProjects | c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5 | [
"MIT"
] | null | null | null | simulador_de_dado.py | lucianoferreirasa/PythonProjects | c26a16bcbd61bd0563bc4f7d4dc0dd3593bd95e5 | [
"MIT"
] | null | null | null | import random
import PySimpleGUI as sg
class SimuladorDeDado:
def __init__(self):
self.valor_minimo = 1
self.valor_maximo = 6
self.layout = [
[sg.Text("Jogar o dado?")],
[sg.Button("Sim"),sg.Button("Não")]
]
def Iniciar(self):
self.janela = sg.W... | 29.96875 | 71 | 0.577685 | 871 | 0.903527 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0.181535 |
e3370f6e006d93026ba5320fad4727621e81fc92 | 1,712 | py | Python | src/geometry/linear_algebra.py | seahrh/coding-interview | 517d19e7e88c02acec4aa6336bc20206ce3f1897 | [
"MIT"
] | null | null | null | src/geometry/linear_algebra.py | seahrh/coding-interview | 517d19e7e88c02acec4aa6336bc20206ce3f1897 | [
"MIT"
] | null | null | null | src/geometry/linear_algebra.py | seahrh/coding-interview | 517d19e7e88c02acec4aa6336bc20206ce3f1897 | [
"MIT"
] | null | null | null | import math
from typing import List, Iterable, Union
Numeric = Union[int, float]
def magnitude(p: Iterable[Numeric]) -> float:
res: float = 0
for component in p:
res += component ** 2
res = math.sqrt(res)
return res
def vdot(p: List[Numeric], q: List[Numeric]) -> float:
"... | 31.703704 | 86 | 0.567757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.167056 |
e337c8816166ee2eea4a6327ac76523c1a2e9c32 | 1,231 | py | Python | plot/eigenvalue_statistics.py | dh4gan/tache | 51ed037769ecc4fdadc591e3b3619416c79e65b7 | [
"MIT"
] | 5 | 2018-02-27T04:07:15.000Z | 2020-12-29T20:49:36.000Z | plot/eigenvalue_statistics.py | dh4gan/tache | 51ed037769ecc4fdadc591e3b3619416c79e65b7 | [
"MIT"
] | null | null | null | plot/eigenvalue_statistics.py | dh4gan/tache | 51ed037769ecc4fdadc591e3b3619416c79e65b7 | [
"MIT"
] | null | null | null | # Written 9/10/14 by dh4gan
# Code reads in output eigenvalue file from tache
# Computes statistics
import numpy as np
import matplotlib.pyplot as plt
import io_tache as io
# Read in inputs from command line
filename = ff.find_local_input_files('eigenvalues*')
threshold = input("What is the threshold for classificat... | 21.224138 | 69 | 0.723802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 358 | 0.29082 |
e337db10027ece0f941b1295bc94ad1a0ed34904 | 4,179 | py | Python | arrow/forwarder/views.py | AkhilGKrishnan/arrow | bbd35faa5011c642cdcf218b180b48dd7ef39ef6 | [
"MIT"
] | null | null | null | arrow/forwarder/views.py | AkhilGKrishnan/arrow | bbd35faa5011c642cdcf218b180b48dd7ef39ef6 | [
"MIT"
] | null | null | null | arrow/forwarder/views.py | AkhilGKrishnan/arrow | bbd35faa5011c642cdcf218b180b48dd7ef39ef6 | [
"MIT"
] | 3 | 2019-01-07T17:07:16.000Z | 2021-01-09T13:01:40.000Z | from django.views.generic.edit import CreateView, FormMixin
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from django import forms
from django.urls import reverse
from reportlab.pdfgen import canvas
from django.http import HttpResponse
from forwarder.models import A... | 36.025862 | 93 | 0.675042 | 2,502 | 0.598708 | 0 | 0 | 0 | 0 | 0 | 0 | 1,061 | 0.253888 |
e3390f43d3793bc787b6b52cd5f2cc575976a36e | 4,793 | py | Python | caption_feats_generation_scripts/full_vid_data_loader.py | Alterith/Dense_Video_Captioning_Feature_Extraction_Model_Choice | 65d0f2d26698cc8f7a5ffb564936113e2bbec201 | [
"MIT"
] | 1 | 2021-04-21T12:39:07.000Z | 2021-04-21T12:39:07.000Z | caption_feats_generation_scripts/full_vid_data_loader.py | Alterith/masters_code | 65d0f2d26698cc8f7a5ffb564936113e2bbec201 | [
"MIT"
] | null | null | null | caption_feats_generation_scripts/full_vid_data_loader.py | Alterith/masters_code | 65d0f2d26698cc8f7a5ffb564936113e2bbec201 | [
"MIT"
] | null | null | null | import h5py
# torch imports
import torch
from torch.utils.data import Dataset
# generic imports
import os
import sys
import numpy as np
import random
import pandas as pd
import cv2
from decord import VideoReader
from decord import cpu, gpu
from matplotlib import pyplot as plt
import gc
# create data loader
class ... | 30.335443 | 130 | 0.580638 | 4,478 | 0.934279 | 0 | 0 | 0 | 0 | 0 | 0 | 772 | 0.161068 |
e339d61b7c0a81fbe079a184470ec5bdef08b9e1 | 1,583 | py | Python | sklearn_baseline.py | Shinkai125/KerasForTextClassfication | ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4 | [
"MIT"
] | null | null | null | sklearn_baseline.py | Shinkai125/KerasForTextClassfication | ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4 | [
"MIT"
] | null | null | null | sklearn_baseline.py | Shinkai125/KerasForTextClassfication | ed3d04c5c58d1dfb3f79b83ba704dd486616f0e4 | [
"MIT"
] | null | null | null | """
@file: sklearn_method.py
@time: 2020-12-09 17:38:38
"""
import pandas as pd
import seaborn as sns
from tqdm import tqdm
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import... | 31.66 | 78 | 0.753001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.130735 |
e33bc5cbc72c8153bc963c853fb7e883e19b21c8 | 2,087 | py | Python | handypackages/gallery/tests.py | roundium/handypackages | b8a0e4952644144b31168f9a4ac8e743933d87c7 | [
"MIT"
] | 1 | 2019-07-31T11:40:06.000Z | 2019-07-31T11:40:06.000Z | handypackages/gallery/tests.py | roundium/handypackages | b8a0e4952644144b31168f9a4ac8e743933d87c7 | [
"MIT"
] | 10 | 2020-02-12T01:16:25.000Z | 2021-06-10T18:42:24.000Z | handypackages/gallery/tests.py | roundium/handypackages | b8a0e4952644144b31168f9a4ac8e743933d87c7 | [
"MIT"
] | 1 | 2019-07-31T11:40:18.000Z | 2019-07-31T11:40:18.000Z | import tempfile
from django.conf import settings
from django.contrib.auth.models import User
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from filer.models import Image
from handypackages.tag.models import Tag
from .models import Gallery
class TestGalleryModels(Tes... | 29.394366 | 77 | 0.577384 | 1,793 | 0.859128 | 0 | 0 | 0 | 0 | 0 | 0 | 487 | 0.233349 |
e33d45a696398845a0fe18a3dbb14693d8655739 | 1,926 | py | Python | src/jk_mediawiki/impl/WikiCronProcessFilter.py | jkpubsrc/python-module-jk-mediawiki | 5d76a060f0ed46c072d44e8084f6fa40d16e6069 | [
"Apache-1.1"
] | null | null | null | src/jk_mediawiki/impl/WikiCronProcessFilter.py | jkpubsrc/python-module-jk-mediawiki | 5d76a060f0ed46c072d44e8084f6fa40d16e6069 | [
"Apache-1.1"
] | null | null | null | src/jk_mediawiki/impl/WikiCronProcessFilter.py | jkpubsrc/python-module-jk-mediawiki | 5d76a060f0ed46c072d44e8084f6fa40d16e6069 | [
"Apache-1.1"
] | null | null | null |
import os
import typing
import jk_typing
from .ProcessFilter import ProcessFilter
class WikiCronProcessFilter(ProcessFilter):
################################################################################################################################
## Constructor
###############################... | 27.514286 | 129 | 0.297508 | 1,820 | 0.944964 | 0 | 0 | 622 | 0.322949 | 0 | 0 | 1,408 | 0.731049 |
e33da7e662f4c2fc76532c7c89e8edb38e2cccee | 96 | py | Python | venv/lib/python3.8/site-packages/filelock/_error.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/filelock/_error.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/filelock/_error.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/ab/0b/2c/7ae80e56fd2208fbee5ef317ac009972f468b5601f62f8f799f9d9279a | 96 | 96 | 0.895833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e33e7075c79b3b47f743f64502284119cdb5e862 | 2,094 | py | Python | konbata/Formats/xml_format.py | jzeuner/konbata | 41c5ec9ce4c84e82e09daaa106ceed9de38c437b | [
"MIT"
] | 2 | 2019-12-01T16:12:24.000Z | 2021-05-18T22:10:12.000Z | konbata/Formats/xml_format.py | jzeuner/konbata | 41c5ec9ce4c84e82e09daaa106ceed9de38c437b | [
"MIT"
] | 10 | 2019-09-19T17:08:46.000Z | 2021-02-17T21:42:10.000Z | konbata/Formats/xml_format.py | jzeuner/konbata | 41c5ec9ce4c84e82e09daaa106ceed9de38c437b | [
"MIT"
] | 3 | 2019-11-27T18:39:12.000Z | 2021-02-10T15:11:58.000Z | """
Loader and Parser for the xml format.
Version: 0.01-alpha
"""
from xml.dom import minidom
from konbata.Data.Data import DataNode, DataTree
from konbata.Formats.Format import Format
def xml_toTree(file, delimiter, options=None):
"""
Function transforms a xml file into a DataTree.
Parameters
... | 22.516129 | 75 | 0.637536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 944 | 0.450812 |
e33ec5c64b5732e244db6498e5c0817ede88b3d0 | 1,650 | py | Python | make_high_indel.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | make_high_indel.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | make_high_indel.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | #!/usr/env python
import pandas as pd
import os
import sys
import numpy as np
if len(sys.argv) != 3:
sys.exit('[usage] python %s <repeat_index table> <indel cutoff>')
ref_table = sys.argv[1]
indel_cut_off = int(sys.argv[2])
for gdf in pd.read_csv(ref_table, sep='\t', chunksize = 10000):
for contig, contig... | 36.666667 | 115 | 0.512121 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 302 | 0.18303 |
e340a47d3057e0a84cad2effe274acb95c936bc5 | 662 | py | Python | LeetCodeSolutions/python/474_Ones_and_Zeroes.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | 1 | 2017-03-27T13:38:37.000Z | 2017-03-27T13:38:37.000Z | LeetCodeSolutions/python/474_Ones_and_Zeroes.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null | LeetCodeSolutions/python/474_Ones_and_Zeroes.py | ChuanleiGuo/AlgorithmsPlayground | 90b6287b742c8bfd3797540c408d679be2821a40 | [
"MIT"
] | null | null | null | class Solution(object):
def findMaxForm(self, strs, m, n):
"""
:type strs: List[str]
:type m: int
:type n: int
:rtype: int
"""
dp = [[0] * (n + 1) for _ in range(m + 1)]
def counts(s):
return sum(1 for c in s if c == '0'), \
... | 30.090909 | 83 | 0.413897 | 661 | 0.998489 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.170695 |
e3431c6a3c1b12221c308a1da4d98113e28475f3 | 474 | py | Python | xicsrt/optics/_InteractNone.py | PrincetonUniversity/xicsrt | 15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd | [
"MIT"
] | 1 | 2021-07-21T17:07:31.000Z | 2021-07-21T17:07:31.000Z | xicsrt/optics/_InteractNone.py | PrincetonUniversity/xicsrt | 15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd | [
"MIT"
] | null | null | null | xicsrt/optics/_InteractNone.py | PrincetonUniversity/xicsrt | 15dfe5e3cd8ac6a326e8f0e502c8b739bd09d3fd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
.. Authors:
Novimir Pablant <npablant@pppl.gov>
Define the :class:`InteractNone` class.
"""
import numpy as np
from copy import deepcopy
from xicsrt.tools.xicsrt_doc import dochelper
from xicsrt.optics._InteractObject import InteractObject
@dochelper
class InteractNone(InteractObject... | 21.545455 | 66 | 0.723629 | 187 | 0.394515 | 0 | 0 | 198 | 0.417722 | 0 | 0 | 255 | 0.537975 |
e34633ea0534cf1b5136a4ecb84b248d7c202e57 | 416 | py | Python | #103 - Ficha do Jogador.py | Lucas-HMSC/curso-python3 | b6506d508107c9a43993a7b5795ee39fc3b7c79d | [
"MIT"
] | null | null | null | #103 - Ficha do Jogador.py | Lucas-HMSC/curso-python3 | b6506d508107c9a43993a7b5795ee39fc3b7c79d | [
"MIT"
] | null | null | null | #103 - Ficha do Jogador.py | Lucas-HMSC/curso-python3 | b6506d508107c9a43993a7b5795ee39fc3b7c79d | [
"MIT"
] | null | null | null | def ficha(nome, gols):
if gols.isnumeric():
gols = int(gols)
else:
gols = 0
if nome.strip() != '':
print(f'O jogador {nome} fez {gols} gol(s) no campeonato.')
else:
nome = '<desconhecido>'
print(f'O jogador {nome} fez {gols} gol(s) no campeonato.')
print('='*30)... | 24.470588 | 67 | 0.560096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 163 | 0.390887 |
e347285e41902227dea4612bf91fb04df4a24692 | 3,598 | py | Python | sub_1602_display.py | leonardlinde/timeandtemp | 93e9ad16b2027fd9c261052c22a5977b86326550 | [
"Artistic-2.0"
] | null | null | null | sub_1602_display.py | leonardlinde/timeandtemp | 93e9ad16b2027fd9c261052c22a5977b86326550 | [
"Artistic-2.0"
] | null | null | null | sub_1602_display.py | leonardlinde/timeandtemp | 93e9ad16b2027fd9c261052c22a5977b86326550 | [
"Artistic-2.0"
] | null | null | null | #!/usr/bin/env python
"""
ZMQ Subscriber for 1602 display
Queue: INF and CMD
"""
import wiringpi2 as wiringpi
import datetime
import time
import json
import Adafruit_DHT
import traceback
import zmq
import sys
import pprint
infoSocket = "tcp://localhost:5550"
cmdSocket = "tcp://localhost:5560"
wiringpi.wiringPiSetu... | 26.651852 | 79 | 0.658143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,017 | 0.282657 |
e347e8efaaade3a7b28a992e4961e185b12004e3 | 2,079 | py | Python | app/business_layers/presentation.py | martireg/bmat | b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c | [
"MIT"
] | null | null | null | app/business_layers/presentation.py | martireg/bmat | b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c | [
"MIT"
] | null | null | null | app/business_layers/presentation.py | martireg/bmat | b5ccd6dcd1edd1e90fa07cb0ef4006b909018a4c | [
"MIT"
] | null | null | null | from typing import List, Dict
from fastapi import APIRouter, UploadFile, File, Depends, HTTPException
from pydantic import create_model
from starlette.responses import StreamingResponse
from app.business_layers.domain import Work
from app.business_layers.repository import WorkRepository
from app.business_layers.use_c... | 34.65 | 101 | 0.746032 | 0 | 0 | 0 | 0 | 1,232 | 0.592593 | 1,072 | 0.515633 | 267 | 0.128427 |
e348be446d860ef514d588759be2dbd6de2b4764 | 651 | py | Python | essentials_kit_management/interactors/get_pay_through_details_interactor.py | RajeshKumar1490/iB_hubs_mini_project | f7126092400fb9a62fb4bff643dae7cda3a8d9d2 | [
"MIT"
] | null | null | null | essentials_kit_management/interactors/get_pay_through_details_interactor.py | RajeshKumar1490/iB_hubs_mini_project | f7126092400fb9a62fb4bff643dae7cda3a8d9d2 | [
"MIT"
] | 2 | 2021-09-07T07:06:00.000Z | 2021-09-07T07:24:26.000Z | essentials_kit_management/interactors/get_pay_through_details_interactor.py | RajeshKumar1490/iB_hubs_mini_project | f7126092400fb9a62fb4bff643dae7cda3a8d9d2 | [
"MIT"
] | null | null | null | from essentials_kit_management.interactors.storages.storage_interface \
import StorageInterface
from essentials_kit_management.interactors.presenters.presenter_interface \
import PresenterInterface
class GetPayThroughDetailsInteractor:
def __init__(
self, storage: StorageInterface, presenter: ... | 34.263158 | 76 | 0.761905 | 442 | 0.678955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e3496bdad8c230d6caf15ce743cc65f029480031 | 5,287 | py | Python | RecoEgamma/Configuration/python/RecoEgamma_cff.py | sebwieland/cmssw | 431e2fdfedec052e73c16e9f06de98ade41ebc56 | [
"Apache-2.0"
] | null | null | null | RecoEgamma/Configuration/python/RecoEgamma_cff.py | sebwieland/cmssw | 431e2fdfedec052e73c16e9f06de98ade41ebc56 | [
"Apache-2.0"
] | null | null | null | RecoEgamma/Configuration/python/RecoEgamma_cff.py | sebwieland/cmssw | 431e2fdfedec052e73c16e9f06de98ade41ebc56 | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
from RecoEgamma.EgammaElectronProducers.gsfElectronSequence_cff import *
from RecoEgamma.EgammaElectronProducers.uncleanedOnlyElectronSequence_cff import *
from RecoEgamma.EgammaPhotonProducers.photonSequence_cff import *
from RecoEgamma.EgammaPhotonProducers.conversionSequence... | 66.924051 | 169 | 0.897863 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 639 | 0.120862 |
e349722dbbb7eaf1a0dc75722c25f01806dbcca5 | 3,632 | py | Python | language/serene/boolq_tfds.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 1,199 | 2018-10-16T01:30:18.000Z | 2022-03-31T21:05:24.000Z | language/serene/boolq_tfds.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 116 | 2018-10-18T03:31:46.000Z | 2022-03-24T13:40:50.000Z | language/serene/boolq_tfds.py | Xtuden-com/language | 70c0328968d5ffa1201c6fdecde45bbc4fec19fc | [
"Apache-2.0"
] | 303 | 2018-10-22T12:35:12.000Z | 2022-03-27T17:38:17.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 ... | 32.141593 | 75 | 0.593337 | 2,774 | 0.763767 | 773 | 0.21283 | 0 | 0 | 0 | 0 | 1,296 | 0.356828 |
e34a90751c66f311b5912bb8c6a8d1a8ad0deae9 | 449 | py | Python | 23/03/0.py | pylangstudy/201709 | 53d868786d7327a83bfa7f4149549c6f9855a6c6 | [
"CC0-1.0"
] | null | null | null | 23/03/0.py | pylangstudy/201709 | 53d868786d7327a83bfa7f4149549c6f9855a6c6 | [
"CC0-1.0"
] | 32 | 2017-09-01T00:52:17.000Z | 2017-10-01T00:30:02.000Z | 23/03/0.py | pylangstudy/201709 | 53d868786d7327a83bfa7f4149549c6f9855a6c6 | [
"CC0-1.0"
] | null | null | null | import json
import pprint
from urllib.request import urlopen
with urlopen('http://pypi.python.org/pypi/Twisted/json') as url:
http_info = url.info()
raw_data = url.read().decode(http_info.get_content_charset())
project_info = json.loads(raw_data)
pprint.pprint(project_info)
print('-----------------------------... | 29.933333 | 65 | 0.657016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.23608 |
e34b1404822d471e120b2d87a3f5be2a57d14434 | 1,323 | py | Python | molotov_ext/__init__.py | 2gis-test-labs/molotov-ext | 2cf2cc5b74f6676ed1680511030d4dddb8be8380 | [
"Apache-2.0"
] | null | null | null | molotov_ext/__init__.py | 2gis-test-labs/molotov-ext | 2cf2cc5b74f6676ed1680511030d4dddb8be8380 | [
"Apache-2.0"
] | null | null | null | molotov_ext/__init__.py | 2gis-test-labs/molotov-ext | 2cf2cc5b74f6676ed1680511030d4dddb8be8380 | [
"Apache-2.0"
] | null | null | null | from argparse import Namespace
from functools import partial
from typing import Any
import molotov
from .formatters import DefaultFormatter
from .record_table import RecordTable
from .recorder import Recorder
from .reporter import Reporter
from .scenario import Scenario
__all__ = ("Reporter", "register_reporter", "s... | 32.268293 | 99 | 0.73167 | 0 | 0 | 0 | 0 | 651 | 0.472424 | 633 | 0.459361 | 365 | 0.264877 |
e34cc6ddd23022672aee1685f571b987ab87c815 | 936 | py | Python | services/viewcounts/utils.py | RyanFleck/AuxilliaryWebsiteServices | bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378 | [
"MIT"
] | 1 | 2020-11-11T20:20:42.000Z | 2020-11-11T20:20:42.000Z | services/viewcounts/utils.py | RyanFleck/AuxilliaryWebsiteServices | bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378 | [
"MIT"
] | 17 | 2020-11-09T19:04:04.000Z | 2022-03-01T18:08:42.000Z | services/viewcounts/utils.py | RyanFleck/AuxilliaryWebsiteServices | bcaa6689e567fdf9f20f7f4ea84043aa2b6f1378 | [
"MIT"
] | null | null | null | from slugify import slugify
from services.viewcounts.models import PageViewsModel
def get_page_views(url: str):
"""Returns the number of views for a given page object."""
# Pre-processing checks: Client should not pass full or partial URL.
if not url.startswith("/"):
raise Exception("Partial URL... | 28.363636 | 73 | 0.672009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.426282 |
e34da2a39a4311b17cd41e029318a815155da9e9 | 9,875 | py | Python | bin/gaussian_process_samples.py | ltiao/videos | ba371078d107da5a4c726a957b31a29bb157664d | [
"MIT"
] | null | null | null | bin/gaussian_process_samples.py | ltiao/videos | ba371078d107da5a4c726a957b31a29bb157664d | [
"MIT"
] | null | null | null | bin/gaussian_process_samples.py | ltiao/videos | ba371078d107da5a4c726a957b31a29bb157664d | [
"MIT"
] | null | null | null | import tensorflow as tf
import tensorflow_probability as tfp
from scipy.stats import expon
from videos.linalg import safe_cholesky
from manim import *
# shortcuts
tfd = tfp.distributions
kernels = tfp.math.psd_kernels
def default_float():
return "float64"
class State:
def __init__(self, kernel, x_grid, x... | 35.142349 | 127 | 0.582278 | 9,602 | 0.972354 | 0 | 0 | 0 | 0 | 0 | 0 | 1,071 | 0.108456 |
e34e43e9e1aa6f169f4e3ce01d35a03a886c9108 | 932 | py | Python | app/api/v2/models/base_models.py | erick-maina/Questioner_API | 0ffad203fd525e22b52e861ce574803a844cc3b3 | [
"MIT"
] | null | null | null | app/api/v2/models/base_models.py | erick-maina/Questioner_API | 0ffad203fd525e22b52e861ce574803a844cc3b3 | [
"MIT"
] | 7 | 2019-01-15T12:23:59.000Z | 2019-01-20T17:32:45.000Z | app/api/v2/models/base_models.py | erick-maina/Questioner_API | 0ffad203fd525e22b52e861ce574803a844cc3b3 | [
"MIT"
] | null | null | null | """
This module defines the base model and associated functions
"""
from flask import Flask, jsonify
from psycopg2.extras import RealDictCursor
from ....database import db_con
class BaseModels(object):
"""
This class encapsulates the functions of the base model
that will be shared across all other models... | 30.064516 | 69 | 0.648069 | 752 | 0.806867 | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 0.429185 |
e34fb05ebe987705aa9522c54e606db43ebf8086 | 9,288 | py | Python | cvr/core/task.py | john-james-ai/cvr | 37e12dff4d46acac64b09ad8ddb8d238d43a5513 | [
"BSD-3-Clause"
] | null | null | null | cvr/core/task.py | john-james-ai/cvr | 37e12dff4d46acac64b09ad8ddb8d238d43a5513 | [
"BSD-3-Clause"
] | null | null | null | cvr/core/task.py | john-james-ai/cvr | 37e12dff4d46acac64b09ad8ddb8d238d43a5513 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# ================================================================================================ #
# Project : Deep Learning for Conversion Rate Prediction (CVR) #
# Version : 0.1.0 ... | 33.053381 | 100 | 0.463932 | 5,984 | 0.644272 | 0 | 0 | 3,531 | 0.380168 | 0 | 0 | 4,252 | 0.457795 |
e34fb4cf8e7da5cda9892155346f681567a85054 | 304 | py | Python | matroids/matroid.py | Aasfga/matroids-library | 468f6fdc4b0c0e93346dba7365fae0fc6993f9cf | [
"MIT"
] | null | null | null | matroids/matroid.py | Aasfga/matroids-library | 468f6fdc4b0c0e93346dba7365fae0fc6993f9cf | [
"MIT"
] | null | null | null | matroids/matroid.py | Aasfga/matroids-library | 468f6fdc4b0c0e93346dba7365fae0fc6993f9cf | [
"MIT"
] | null | null | null | from typing import Set
from numpy import ndarray
class Matroid:
def is_independent(self, s: Set) -> bool:
raise NotImplementedError
@property
def rank(self) -> int:
raise NotImplementedError
@property
def matrix(self) -> ndarray:
raise NotImplementedError
| 19 | 45 | 0.671053 | 252 | 0.828947 | 0 | 0 | 146 | 0.480263 | 0 | 0 | 0 | 0 |
e350ce9086d7c563b5e1154ba5f38a8024e85d87 | 779 | py | Python | inconnu/traits/traitcommon.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 4 | 2021-09-06T20:18:13.000Z | 2022-02-05T17:08:44.000Z | inconnu/traits/traitcommon.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 7 | 2021-09-13T00:46:57.000Z | 2022-01-11T06:38:50.000Z | inconnu/traits/traitcommon.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 2 | 2021-11-27T22:24:53.000Z | 2022-03-16T21:05:00.000Z | """traits/traitcommon.py - Common functionality across trait operations."""
import re
from ..constants import UNIVERSAL_TRAITS
VALID_TRAIT_PATTERN = re.compile(r"^[A-z_]+$")
def validate_trait_names(*traits):
"""
Raises a ValueError if a trait doesn't exist and a SyntaxError
if the syntax is bad.
""... | 33.869565 | 100 | 0.671374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.49294 |
e3528306b7bd15d5fdcba5e58d4d0fd69b1294a4 | 349 | py | Python | sps/api/v1/socket/message.py | tantexian/sps-2014-12-4 | 0cdab186cb3bf148656c4c214a18215643b4969c | [
"Apache-2.0"
] | 1 | 2018-07-27T15:16:14.000Z | 2018-07-27T15:16:14.000Z | sps/api/v1/socket/message.py | tantexian/sps-2014-12-4 | 0cdab186cb3bf148656c4c214a18215643b4969c | [
"Apache-2.0"
] | null | null | null | sps/api/v1/socket/message.py | tantexian/sps-2014-12-4 | 0cdab186cb3bf148656c4c214a18215643b4969c | [
"Apache-2.0"
] | null | null | null | class MessageType(object):
REG = 1
class Message(object):
def __init__(self):
self.type = None
self.body = None
def get_type(self):
return self.type
def get_body(self):
return self.body
def set_type(self, type):
self.type = type
def set_body(self, bod... | 17.45 | 29 | 0.581662 | 346 | 0.991404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e355aa3c3d4c58a325cb59719ca07b7c1a10df4b | 2,293 | py | Python | docker_ml_templates/simple_batch_model/container/src/tests/test_model.py | MadMedian/ubik | d8dabf0a26db1e35c653b23facb5045f2ae7bf0d | [
"Apache-2.0"
] | null | null | null | docker_ml_templates/simple_batch_model/container/src/tests/test_model.py | MadMedian/ubik | d8dabf0a26db1e35c653b23facb5045f2ae7bf0d | [
"Apache-2.0"
] | null | null | null | docker_ml_templates/simple_batch_model/container/src/tests/test_model.py | MadMedian/ubik | d8dabf0a26db1e35c653b23facb5045f2ae7bf0d | [
"Apache-2.0"
] | null | null | null | import unittest
from ..model import RandomForestWithFeatureSelection
from sklearn.model_selection import train_test_split
import os
import numpy as np
def create_dataset(n_rows=1000, n_feats=10, pos_loc=2.0, neg_loc=0.0,
pos_scale=3.0, neg_scale=3.0, random_state=1):
np.random.seed(random_state... | 39.534483 | 113 | 0.69167 | 1,663 | 0.725251 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.040122 |
e357ec80e01c5cb1d929b33f8d9bbb4379d90eae | 43,051 | py | Python | DataAnalysis.py | ben-dent/Contract-Cheating-Analysis | 28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df | [
"MIT"
] | null | null | null | DataAnalysis.py | ben-dent/Contract-Cheating-Analysis | 28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df | [
"MIT"
] | null | null | null | DataAnalysis.py | ben-dent/Contract-Cheating-Analysis | 28999b5ac73dbb6f4a65ef3d8f8dd4db677c42df | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt;
plt.rcdefaults()
import csv
import sqlite3 as lite
from calendar import monthrange
from datetime import datetime, date, timedelta
from datetimerange import DateTimeRange
import numpy as np
import pycountry_convert as pc
from dateutil.relativedelta import relativedelta
from forex_pytho... | 31.016571 | 184 | 0.551207 | 0 | 0 | 126 | 0.002927 | 0 | 0 | 0 | 0 | 8,281 | 0.192353 |
e359de552a30d24e6371b5e1ad922405353576ab | 1,733 | py | Python | deploy_flask_plotly/app.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | null | null | null | deploy_flask_plotly/app.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | null | null | null | deploy_flask_plotly/app.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | 1 | 2022-03-14T19:41:57.000Z | 2022-03-14T19:41:57.000Z | from flask import Flask, render_template, request, jsonify
import numpy as np
import pickle
import sys
import json
import re
app = Flask(__name__)
app.config['JSON_AS_ASCII'] = False
target_names = [
'AE', 'BH', 'DZ',
'EG', 'IQ', 'JO',
'KW', 'LB', 'LY',
'MA', 'OM','PL',
'QA', ... | 27.507937 | 112 | 0.562031 | 0 | 0 | 0 | 0 | 555 | 0.289666 | 0 | 0 | 731 | 0.381524 |