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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3533195f13e3ea818f2af16e979fbb241e157d75 | 6,108 | py | Python | MWE/SDHM/sdhm_dpp_exact_sc.py | volpatto/porousdrake | ffc2cadebc0415daa86fbeab130489d095b76193 | [
"MIT"
] | 1 | 2020-09-03T14:07:05.000Z | 2020-09-03T14:07:05.000Z | MWE/SDHM/sdhm_dpp_exact_sc.py | volpatto/porousdrake | ffc2cadebc0415daa86fbeab130489d095b76193 | [
"MIT"
] | null | null | null | MWE/SDHM/sdhm_dpp_exact_sc.py | volpatto/porousdrake | ffc2cadebc0415daa86fbeab130489d095b76193 | [
"MIT"
] | 1 | 2020-11-15T18:05:43.000Z | 2020-11-15T18:05:43.000Z | from firedrake import *
import numpy as np
from firedrake.petsc import PETSc
from firedrake import COMM_WORLD
try:
import matplotlib.pyplot as plt
plt.rcParams["contour.corner_mask"] = False
plt.close("all")
except:
warning("Matplotlib not imported")
nx, ny = 4, 4
Lx, Ly = 1.0, 1.0
quadrilateral = Fa... | 30.38806 | 100 | 0.58628 |
3533347e3f6dd109c1cd29acee7a5024f75c5d7b | 329 | py | Python | data_sets/config.py | davidp94/data-sets | 5db986de4ff0e2656cce142541a46e66ca6f02db | [
"MIT"
] | null | null | null | data_sets/config.py | davidp94/data-sets | 5db986de4ff0e2656cce142541a46e66ca6f02db | [
"MIT"
] | null | null | null | data_sets/config.py | davidp94/data-sets | 5db986de4ff0e2656cce142541a46e66ca6f02db | [
"MIT"
] | null | null | null | """Definition and configuration of data sets"""
import functools
from data_sets import data_set
def charts_color() -> str:
"""The color (rgb hex code) to be used in charts"""
return '#008000' | 20.5625 | 55 | 0.680851 |
3535c2f41fec283317a2615b85df36199539b828 | 163 | py | Python | kafka/test/consume.py | nicovillanueva/docker-kafka | a3f229e9ebe28c947efe2be22bb88e54338c86e7 | [
"Apache-2.0"
] | null | null | null | kafka/test/consume.py | nicovillanueva/docker-kafka | a3f229e9ebe28c947efe2be22bb88e54338c86e7 | [
"Apache-2.0"
] | null | null | null | kafka/test/consume.py | nicovillanueva/docker-kafka | a3f229e9ebe28c947efe2be22bb88e54338c86e7 | [
"Apache-2.0"
] | null | null | null | from kafka import KafkaConsumer
consumer = KafkaConsumer('test-topic', bootstrap_servers='localhost:9092')
print("listening")
for msg in consumer:
print(msg)
| 23.285714 | 74 | 0.773006 |
3535cde306fc5cbd97370f8331149b5039014dd2 | 9,354 | py | Python | recognition/train_utils.py | Queuer/queue-vision | a09cfcad11cb058049893a1ebeb74709e83eab2f | [
"Apache-2.0"
] | null | null | null | recognition/train_utils.py | Queuer/queue-vision | a09cfcad11cb058049893a1ebeb74709e83eab2f | [
"Apache-2.0"
] | 1 | 2016-12-18T16:07:55.000Z | 2016-12-18T16:07:55.000Z | recognition/train_utils.py | Queuer/queue-vision | a09cfcad11cb058049893a1ebeb74709e83eab2f | [
"Apache-2.0"
] | null | null | null | import random
import numpy as np
import tensorflow as tf
from recognition.utils import train_utils, googlenet_load
try:
from tensorflow.models.rnn import rnn_cell
except ImportError:
rnn_cell = tf.nn.rnn_cell
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
random.seed... | 41.758929 | 120 | 0.557943 |
35361b12a2145f1e12f1ea888df65fc33ccd836c | 1,627 | py | Python | gtbook/linear.py | dellaert/nbdev_test | 793932be45ad75f0f1f0a03af6e4ae41e54b7857 | [
"Apache-2.0"
] | 5 | 2021-12-19T02:58:48.000Z | 2021-12-22T20:12:54.000Z | gtbook/linear.py | dellaert/nbdev_test | 793932be45ad75f0f1f0a03af6e4ae41e54b7857 | [
"Apache-2.0"
] | 2 | 2022-01-08T14:58:20.000Z | 2022-01-10T02:25:31.000Z | gtbook/linear.py | dellaert/nbdev_test | 793932be45ad75f0f1f0a03af6e4ae41e54b7857 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: linear.ipynb (unless otherwise specified).
__all__ = ['vv', 'denoising_MRF']
# Cell
import numpy as np
import gtsam
from gtsam import noiseModel
from .display import show
from typing import Dict
# Cell
def vv(keys_vectors: Dict[int, np.ndarray]):
"""Create a VectorVal... | 29.053571 | 86 | 0.598648 |
3539dc514be01a0a70e432b9eaf2771e8b35648e | 899 | py | Python | _0697_div3/D_Cleaning_the_Phone.py | mingweihe/codeforces | 8395d68a09373775009b76dbde189ce5bbba58ae | [
"MIT"
] | null | null | null | _0697_div3/D_Cleaning_the_Phone.py | mingweihe/codeforces | 8395d68a09373775009b76dbde189ce5bbba58ae | [
"MIT"
] | null | null | null | _0697_div3/D_Cleaning_the_Phone.py | mingweihe/codeforces | 8395d68a09373775009b76dbde189ce5bbba58ae | [
"MIT"
] | null | null | null |
for _ in xrange(int(raw_input())):
n, m = map(int, raw_input().split())
A = map(int, raw_input().split())
B = map(int, raw_input().split())
print solve(n, m, A, B)
| 26.441176 | 49 | 0.404894 |
353a5d55eb876f494195bab8603dd502b77f30e8 | 1,319 | py | Python | xpcs/calc_scattering.py | aryabhatt/xpcs-baseline | ad88044d1ec391dc1dd44d5b8f372a16e5c7d431 | [
"BSD-2-Clause"
] | null | null | null | xpcs/calc_scattering.py | aryabhatt/xpcs-baseline | ad88044d1ec391dc1dd44d5b8f372a16e5c7d431 | [
"BSD-2-Clause"
] | 1 | 2020-03-23T22:54:40.000Z | 2020-03-23T22:54:40.000Z | xpcs/calc_scattering.py | aryabhatt/xpcs-baseline | ad88044d1ec391dc1dd44d5b8f372a16e5c7d431 | [
"BSD-2-Clause"
] | 4 | 2019-08-30T12:12:59.000Z | 2021-12-28T06:33:07.000Z | #! /usr/bin/env python
import mdscatter
import numpy as np
import h5py
import time
import os
from loader import list_lammps_txt_files, load_lammps_txt
from detector import Lambda750k
if __name__ == '__main__':
wavelen = 0.1127
energy = 1.23984 / wavelen
sdd = 4.
scale = 28
center = (0, 768)... | 25.365385 | 85 | 0.611069 |
353add44ddd63c2400e5193caf4b4d8f081b481a | 895 | py | Python | sphinxcontrib/collections/drivers/copy_file.py | useblocks/sphinx-collections | 4f1fd7d4f4682a2df47cdde98b9668d59b2983ff | [
"MIT"
] | 4 | 2020-05-22T16:22:14.000Z | 2021-11-09T11:48:04.000Z | sphinxcontrib/collections/drivers/copy_file.py | useblocks/sphinx-collections | 4f1fd7d4f4682a2df47cdde98b9668d59b2983ff | [
"MIT"
] | 1 | 2020-07-10T23:03:24.000Z | 2020-07-10T23:03:24.000Z | sphinxcontrib/collections/drivers/copy_file.py | useblocks/sphinx-collections | 4f1fd7d4f4682a2df47cdde98b9668d59b2983ff | [
"MIT"
] | 1 | 2020-05-22T17:27:39.000Z | 2020-05-22T17:27:39.000Z | import os
from shutil import copyfile
from sphinxcontrib.collections.drivers import Driver
| 27.96875 | 99 | 0.587709 |
353b5a343ec76d28979a240a4db7c75dd7f261d3 | 6,598 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/ansible/utils/plugins/action/update_fact.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/ansible/utils/plugins/action/update_fact.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/ansible/utils/plugins/action/update_fact.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import ast
import re
from ansible.plugins.action import ActionBase
from ansible.module... | 35.473118 | 93 | 0.507426 |
353bb0db8607a6842f81b42d90314c743ed67327 | 936 | py | Python | PackageGen.py | Qudix/Buffout4 | 4ac65dca4854dfcea860cd6f3e2f9b7cf35701c0 | [
"MIT"
] | null | null | null | PackageGen.py | Qudix/Buffout4 | 4ac65dca4854dfcea860cd6f3e2f9b7cf35701c0 | [
"MIT"
] | null | null | null | PackageGen.py | Qudix/Buffout4 | 4ac65dca4854dfcea860cd6f3e2f9b7cf35701c0 | [
"MIT"
] | null | null | null | import os
import zipfile
import zlib
if __name__ == "__main__":
main()
| 29.25 | 92 | 0.701923 |
353cbfa860da0589e9ef54e5529ecb9742d22ebd | 8,246 | py | Python | scripts/extract-traj.py | KeithLabPitt/scripts | a6631736ea2fbcd5ef85d93d793602f746f7277d | [
"MIT"
] | null | null | null | scripts/extract-traj.py | KeithLabPitt/scripts | a6631736ea2fbcd5ef85d93d793602f746f7277d | [
"MIT"
] | null | null | null | scripts/extract-traj.py | KeithLabPitt/scripts | a6631736ea2fbcd5ef85d93d793602f746f7277d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# MIT License
#
# Copyright (c) 2020, Alex M. Maldonado
#
# 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 right... | 35.69697 | 82 | 0.576643 |
353d49fb2aa341e74610eef072c9aede1a4b9a62 | 3,553 | py | Python | examples/M4_competition/evaluate_prophet.py | LeoTafti/darts | 210605fafb730de564e3d723ab3919ed94da42b9 | [
"Apache-2.0"
] | 1 | 2021-07-15T11:12:05.000Z | 2021-07-15T11:12:05.000Z | examples/M4_competition/evaluate_prophet.py | LeoTafti/darts | 210605fafb730de564e3d723ab3919ed94da42b9 | [
"Apache-2.0"
] | 1 | 2021-02-02T11:22:36.000Z | 2021-02-02T11:22:36.000Z | examples/M4_competition/evaluate_prophet.py | LeoTafti/darts | 210605fafb730de564e3d723ab3919ed94da42b9 | [
"Apache-2.0"
] | null | null | null | """Evaluating Prophet model on M4 timeseries
"""
from darts.models import Prophet
from darts.utils.statistics import check_seasonality
from darts.utils import _build_tqdm_iterator
import numpy as np
import pandas as pd
import pickle as pkl
from M4_metrics import owa_m4, mase_m4, smape_m4
if __name__ == "__main__"... | 41.313953 | 97 | 0.504363 |
353d634a1acddc64d1cd7c68b17cf48d708bb09b | 1,100 | py | Python | preprocess/step4/count.py | moore3930/dependency-based-w2v | 03edc3e89c4af939a1eae50abc395e5dc53f886c | [
"MIT"
] | 11 | 2017-12-28T12:00:37.000Z | 2022-01-18T05:45:12.000Z | preprocess/step4/count.py | njirene/dependency-based-w2v | 0b55147e32a856759f7922e1690771c316c5b8e7 | [
"MIT"
] | 3 | 2018-07-29T13:42:53.000Z | 2018-11-22T07:33:07.000Z | preprocess/step4/count.py | njirene/dependency-based-w2v | 0b55147e32a856759f7922e1690771c316c5b8e7 | [
"MIT"
] | 2 | 2019-07-27T05:10:22.000Z | 2019-10-03T11:33:37.000Z | import codecs
import sys
import argparse
parser = argparse.ArgumentParser(description='manual to this script')
parser.add_argument('--file', type=str, default = None)
parser.add_argument('--quantity', type=int, default=5785)
args = parser.parse_args()
output = codecs.open('weightcn.txt', 'w', 'utf-8')
dic = {}
i = 0
f... | 27.5 | 69 | 0.516364 |
353e4f8031534b9754c44cd582947dcb265760b5 | 16,619 | py | Python | pyannote/audio/applications/pyannote_audio.py | kan-cloud/pyannote-audio | 5bcc57782849ecfc746e0404e480c262410b38cd | [
"MIT"
] | 1 | 2020-12-01T07:03:01.000Z | 2020-12-01T07:03:01.000Z | pyannote/audio/applications/pyannote_audio.py | kan-cloud/pyannote-audio | 5bcc57782849ecfc746e0404e480c262410b38cd | [
"MIT"
] | null | null | null | pyannote/audio/applications/pyannote_audio.py | kan-cloud/pyannote-audio | 5bcc57782849ecfc746e0404e480c262410b38cd | [
"MIT"
] | 5 | 2020-06-06T23:56:06.000Z | 2022-02-21T10:43:10.000Z | #!/usr/bin/env python
# encoding: utf-8
# The MIT License (MIT)
# Copyright (c) 2019-2020 CNRS
# 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 limita... | 37.599548 | 103 | 0.609363 |
353e538978effe724514576a6a13f995049887e9 | 1,352 | py | Python | convert_data_to_tfrecords.py | richiesui/Deep-Association-Learning | 70157b79f6ffb73aa7115e2a5a641c0cc09dd550 | [
"MIT"
] | 70 | 2018-08-23T01:54:37.000Z | 2021-09-11T12:54:35.000Z | convert_data_to_tfrecords.py | richiesui/Deep-Association-Learning | 70157b79f6ffb73aa7115e2a5a641c0cc09dd550 | [
"MIT"
] | 1 | 2019-01-20T14:58:46.000Z | 2019-01-21T08:12:36.000Z | convert_data_to_tfrecords.py | yanbeic/Deep-Association-Learning | 70157b79f6ffb73aa7115e2a5a641c0cc09dd550 | [
"MIT"
] | 32 | 2018-08-24T09:32:38.000Z | 2022-02-05T05:59:50.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import os
from datasets import convert_data
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('data_type', None,
'The type of the dataset to convert, ne... | 34.666667 | 102 | 0.638314 |
353e59f2bd97a83046f221148d98e2324a9d87dd | 1,933 | py | Python | vispy/geometry/tests/test_generation.py | chongxi/vispy | 3683ea1f58e43b4aa1b32a3e69656bead8a31e99 | [
"BSD-3-Clause"
] | 3 | 2018-05-09T17:55:53.000Z | 2019-07-22T09:14:41.000Z | vispy/geometry/tests/test_generation.py | chongxi/vispy | 3683ea1f58e43b4aa1b32a3e69656bead8a31e99 | [
"BSD-3-Clause"
] | 9 | 2017-04-07T01:44:15.000Z | 2018-12-16T20:47:08.000Z | graphViz/vispy/geometry/tests/test_generation.py | onecklam/ethereum-graphviz | 6993accf0cb85e23013bf7ae6b04145724a6dbd2 | [
"Apache-2.0"
] | 1 | 2021-09-15T08:52:26.000Z | 2021-09-15T08:52:26.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
from numpy.testing import assert_array_equal, assert_allclose
from vispy.testing import run_tests_if_main
from vispy.geometry import (create_box, create_cub... | 35.796296 | 76 | 0.689602 |
353f5e1b21c175277d0414b42c4543aa99713967 | 3,990 | py | Python | bico/utils/BICONode.py | gallmerci/bico | b87cee155f64d40118817e888fd783084f04b013 | [
"MIT"
] | 39 | 2017-01-02T01:02:58.000Z | 2022-02-22T13:58:14.000Z | bico/utils/BICONode.py | gallmerci/bico | b87cee155f64d40118817e888fd783084f04b013 | [
"MIT"
] | 2 | 2017-01-06T18:40:42.000Z | 2017-01-12T21:49:46.000Z | bico/utils/BICONode.py | gallmerci/bico | b87cee155f64d40118817e888fd783084f04b013 | [
"MIT"
] | 10 | 2017-01-02T17:52:02.000Z | 2022-02-22T14:07:24.000Z | import logging
import numpy as np
from bico.geometry.point import Point
from bico.nearest_neighbor.base import NearestNeighbor
from bico.utils.ClusteringFeature import ClusteringFeature
from datetime import datetime
from typing import Callable, TextIO, List
logger = logging.getLogger(__name__)
| 42.903226 | 114 | 0.582206 |
354187da39692ce916dbf65d6fc9ecbdceb76905 | 239 | py | Python | pythonScript.py | qinenergy/QinBox | 9047d1fc6b7f1796820f13aabc1d7fe20cf8f34d | [
"MIT"
] | null | null | null | pythonScript.py | qinenergy/QinBox | 9047d1fc6b7f1796820f13aabc1d7fe20cf8f34d | [
"MIT"
] | null | null | null | pythonScript.py | qinenergy/QinBox | 9047d1fc6b7f1796820f13aabc1d7fe20cf8f34d | [
"MIT"
] | null | null | null | """
Lite install NLTK resource
"""
import nltk
dler = nltk.downloader.Downloader()
dler._update_index()
dler._status_cache['panlex_lite'] = 'installed' # Trick the index to treat panlex_lite as it's already installed.
dler.download('all')
| 26.555556 | 113 | 0.761506 |
3542ab8dbb20886a361a27ff5789ccca3ada3441 | 1,224 | py | Python | py2450/misc.py | sveinrou/py2450 | 195a649efd282b15b60ee0e3184d096afce5e311 | [
"MIT"
] | null | null | null | py2450/misc.py | sveinrou/py2450 | 195a649efd282b15b60ee0e3184d096afce5e311 | [
"MIT"
] | null | null | null | py2450/misc.py | sveinrou/py2450 | 195a649efd282b15b60ee0e3184d096afce5e311 | [
"MIT"
] | null | null | null | import pyvisa
| 22.666667 | 114 | 0.377451 |
3543867a3c8172578aa9304ce724339a82b0436c | 5,406 | py | Python | LinkedList/test XOR.py | ikaushikpal/DS-450-python | 9466f77fb9db9e6a5bb3f20aa89ba6332f49e848 | [
"MIT"
] | 3 | 2021-06-28T12:04:19.000Z | 2021-09-07T07:23:41.000Z | LinkedList/test XOR.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | null | null | null | LinkedList/test XOR.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | 1 | 2021-06-28T15:42:55.000Z | 2021-06-28T15:42:55.000Z | # import required module
import ctypes
# create node class
# create linked list class
# Driver Code
# create object
obj = XorLinkedList()
# insert nodes
obj.InsertAtEnd(2)
obj.InsertAtEnd(3)
obj.InsertAtEnd(4)
obj.InsertAtEnd(0)
obj.InsertAtEnd(6)
obj.InsertAtEnd(55)
# display length
# pr... | 24.026667 | 81 | 0.63744 |
3544ad58108f77d2815d664fdbba023d8958f9ac | 354 | py | Python | opticmedian/utils/file_reader.py | QuicqDev/OpticRescue | f857e3b770f43958f1d687f164ea896aa5390482 | [
"MIT"
] | 2 | 2021-08-09T01:35:06.000Z | 2021-08-09T01:37:05.000Z | opticmedian/utils/file_reader.py | QuicqDev/OpticRescue | f857e3b770f43958f1d687f164ea896aa5390482 | [
"MIT"
] | 8 | 2021-08-07T15:27:48.000Z | 2021-09-05T18:24:29.000Z | opticmedian/utils/file_reader.py | ASH1998/OpticRescue | f857e3b770f43958f1d687f164ea896aa5390482 | [
"MIT"
] | 1 | 2021-08-09T01:37:23.000Z | 2021-08-09T01:37:23.000Z | """
class to read files in specific ways
"""
import glob
import random
| 13.615385 | 50 | 0.677966 |
35459007a7ac1087649915a526d0359cf8ca1114 | 6,335 | py | Python | pypiv/velofilter.py | jr7/pypiv | e43f33a905434f57cc7a7d448a63cdab10f4a8e6 | [
"BSD-3-Clause"
] | 7 | 2017-04-01T11:13:58.000Z | 2020-06-11T19:42:11.000Z | pypiv/velofilter.py | jruebsam/pypiv | e43f33a905434f57cc7a7d448a63cdab10f4a8e6 | [
"BSD-3-Clause"
] | 2 | 2019-11-18T17:42:11.000Z | 2019-11-26T14:55:41.000Z | pypiv/velofilter.py | jruebsam/pypiv | e43f33a905434f57cc7a7d448a63cdab10f4a8e6 | [
"BSD-3-Clause"
] | 2 | 2017-03-21T10:37:06.000Z | 2020-06-22T13:29:57.000Z | import numpy as np
from scipy.stats import linregress as li
from math import exp
def calc_factor(field,stepsize=0.01):
"""
Function for calculation of the summed binning.
The returned result is an integral over the binning of the velocities.
It is done for the negative and positive half separately.
... | 35.391061 | 100 | 0.63015 |
354591beed6d1616f9cdab23d48fdf510319c266 | 4,347 | py | Python | lib/floppy.py | FlorianPoot/Floppy | 1b62e5ffce7c45ab82ced3b17172a37431b5c395 | [
"MIT"
] | null | null | null | lib/floppy.py | FlorianPoot/Floppy | 1b62e5ffce7c45ab82ced3b17172a37431b5c395 | [
"MIT"
] | null | null | null | lib/floppy.py | FlorianPoot/Floppy | 1b62e5ffce7c45ab82ced3b17172a37431b5c395 | [
"MIT"
] | null | null | null | from machine import Pin, UART
from grip import Grip
import time
floppy = Floppy()
| 25.273256 | 106 | 0.501035 |
35468d2fd3afa4235fa24ef45b8d2a4fc954d35d | 891 | py | Python | WeatherStationSensorsReader/controllers/wind_measurement_controller.py | weather-station-project/weather-station-sensors-reader | cda7902ee382248b41d14b9a2c0543817decbb4a | [
"MIT"
] | null | null | null | WeatherStationSensorsReader/controllers/wind_measurement_controller.py | weather-station-project/weather-station-sensors-reader | cda7902ee382248b41d14b9a2c0543817decbb4a | [
"MIT"
] | null | null | null | WeatherStationSensorsReader/controllers/wind_measurement_controller.py | weather-station-project/weather-station-sensors-reader | cda7902ee382248b41d14b9a2c0543817decbb4a | [
"MIT"
] | null | null | null | from controllers.controller import Controller
from dao.wind_measurement_dao import WindMeasurementDao
from sensors.wind_measurement_sensor import WindMeasurementSensor
| 59.4 | 132 | 0.560045 |
3546d98d4dfa60c74b37af1f19933322143ce069 | 750 | py | Python | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlMinBias_Output_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlMinBias_Output_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlMinBias_Output_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
# AlCaReco for track based alignment using MinBias events
OutALCARECOTkAlMinBias_noDrop = cms.PSet(
SelectEvents = cms.untracked.PSet(
SelectEvents = cms.vstring('pathALCARECOTkAlMinBias')
),
outputCommands = cms.untracked.vstring(
'keep *_ALCARECOTk... | 35.714286 | 69 | 0.729333 |
3547f355d42e86cac54a2fa19887cfc08f3e0eb5 | 984 | py | Python | dashboard/migrations/0005_usercacherefreshtime.py | Wassaf-Shahzad/micromasters | b1340a8c233499b1d8d22872a6bc1fe7f49fd323 | [
"BSD-3-Clause"
] | 32 | 2016-03-25T01:03:13.000Z | 2022-01-15T19:35:42.000Z | dashboard/migrations/0005_usercacherefreshtime.py | Wassaf-Shahzad/micromasters | b1340a8c233499b1d8d22872a6bc1fe7f49fd323 | [
"BSD-3-Clause"
] | 4,858 | 2016-03-03T13:48:30.000Z | 2022-03-29T22:09:51.000Z | dashboard/migrations/0005_usercacherefreshtime.py | umarmughal824/micromasters | ea92d3bcea9be4601150fc497302ddacc1161622 | [
"BSD-3-Clause"
] | 20 | 2016-08-18T22:07:44.000Z | 2021-11-15T13:35:35.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.10 on 2016-11-04 21:12
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 33.931034 | 118 | 0.644309 |
35481960fa84aa0d7d74f4ec46b633eb060d28fb | 1,282 | py | Python | easy/836-Rectangle Overlap.py | Davidxswang/leetcode | d554b7f5228f14c646f726ddb91014a612673e06 | [
"Apache-2.0"
] | 2 | 2020-05-08T02:17:17.000Z | 2020-05-17T04:55:56.000Z | easy/836-Rectangle Overlap.py | Davidxswang/leetcode | d554b7f5228f14c646f726ddb91014a612673e06 | [
"Apache-2.0"
] | null | null | null | easy/836-Rectangle Overlap.py | Davidxswang/leetcode | d554b7f5228f14c646f726ddb91014a612673e06 | [
"Apache-2.0"
] | null | null | null | """
https://leetcode.com/problems/rectangle-overlap/
A rectangle is represented as a list [x1, y1, x2, y2], where (x1, y1) are the coordinates of its bottom-left corner, and (x2, y2) are the coordinates of its top-right corner.
Two rectangles overlap if the area of their intersection is positive. To be clear, two rec... | 35.611111 | 174 | 0.675507 |
35481fe584384c36a89d37bc77fef6fadfaeafc5 | 69 | py | Python | src/vaccinebot_token.py | DPS0340/vaccine-dispenser | d43f2313de26a5e0a6d15621ffda3d9c505a664c | [
"MIT"
] | 2 | 2021-08-07T17:28:49.000Z | 2021-08-08T05:40:06.000Z | src/vaccinebot_token.py | DPS0340/vaccine-dispenser | d43f2313de26a5e0a6d15621ffda3d9c505a664c | [
"MIT"
] | null | null | null | src/vaccinebot_token.py | DPS0340/vaccine-dispenser | d43f2313de26a5e0a6d15621ffda3d9c505a664c | [
"MIT"
] | null | null | null | import os | 17.25 | 41 | 0.73913 |
35489b42960c3642fb09f7d87e33db297be3e58b | 2,651 | py | Python | fluiddb/scripts/testing.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | 3 | 2021-05-10T14:41:30.000Z | 2021-12-16T05:53:30.000Z | fluiddb/scripts/testing.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | null | null | null | fluiddb/scripts/testing.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | 2 | 2018-01-24T09:03:21.000Z | 2021-06-25T08:34:54.000Z | import logging
from fluiddb.data.store import getMainStore
from fluiddb.exceptions import FeatureError
from fluiddb.model.namespace import NamespaceAPI
from fluiddb.model.tag import TagAPI
from fluiddb.model.user import UserAPI, getUser
TESTING_DATA = {
u'users': [
u'testuser1',
u'testuser2'],
... | 33.987179 | 78 | 0.629951 |
3548f9938f3a5d5177badd45e2cdec5c57b3903f | 6,752 | py | Python | prediction/main_ml.py | Anukriti12/OptumStratethon2.0 | b66dba07735bfa47d99e9907eb8bccdd3b77075c | [
"MIT"
] | 1 | 2021-03-04T05:49:01.000Z | 2021-03-04T05:49:01.000Z | prediction/main_ml.py | ankitpriyarup/optum_carewheel | f6c66f293b2980501e8bca8ab7e26ebd3b26cdd1 | [
"Apache-2.0"
] | null | null | null | prediction/main_ml.py | ankitpriyarup/optum_carewheel | f6c66f293b2980501e8bca8ab7e26ebd3b26cdd1 | [
"Apache-2.0"
] | 1 | 2020-09-13T11:50:49.000Z | 2020-09-13T11:50:49.000Z | import urllib3
import pandas as pd
import numpy as np
import zipfile
import copy
import pickle
import os
from esig import tosig
from tqdm import tqdm
from multiprocessing import Pool
from functools import partial
from os import listdir
from os.path import isfile, join
from sklearn.ensemble import RandomForestClassifier... | 26.687747 | 109 | 0.618928 |
3549ef84efc1cdf33ac92611c87fc798eee128a4 | 7,254 | py | Python | NeuralNetworkRef/create_pics.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 6 | 2019-11-04T07:04:24.000Z | 2021-02-10T21:35:00.000Z | NeuralNetworkRef/create_pics.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | null | null | null | NeuralNetworkRef/create_pics.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 2 | 2020-08-07T09:29:41.000Z | 2021-02-10T21:35:05.000Z | #-------------------------------------------------------------------------------
# Filename: create_pics.py
# Description: creates square pictures out of a picture which is mostly empty
# for training a neural network later.
# The parameters to fool around with include:
# factor: scaled down image for faster imag... | 38.178947 | 104 | 0.553763 |
354a546386259b039381e2eef2517c0b0f0d4c22 | 150 | py | Python | pyomt5/api/__init__.py | paulorodriguesxv/pyomt5 | 9287395f9f72b049c945e625e3b75c491ae50407 | [
"MIT"
] | 8 | 2019-09-06T02:44:04.000Z | 2021-07-08T04:10:11.000Z | pyomt5/api/__init__.py | dausech/pyomt5 | 691dbf7b9732728425e57a7b9055d971838c5c4d | [
"MIT"
] | null | null | null | pyomt5/api/__init__.py | dausech/pyomt5 | 691dbf7b9732728425e57a7b9055d971838c5c4d | [
"MIT"
] | 2 | 2019-09-10T16:41:16.000Z | 2020-10-14T13:49:33.000Z | from .metatradercom import (MetatraderCom, ConnectionTimeoutError,
DataNotFoundError)
from .timeframe import MT5TimeFrame
| 37.5 | 66 | 0.706667 |
101e55aaa1d141b7b14f9e29fcdf1c97452cd043 | 2,600 | py | Python | driverapp/models.py | gabyxbinnaeah/Bus-Booking | 51d2a521f890986e4e7e17775708cec3cd71d2b4 | [
"MIT"
] | null | null | null | driverapp/models.py | gabyxbinnaeah/Bus-Booking | 51d2a521f890986e4e7e17775708cec3cd71d2b4 | [
"MIT"
] | null | null | null | driverapp/models.py | gabyxbinnaeah/Bus-Booking | 51d2a521f890986e4e7e17775708cec3cd71d2b4 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractUser
# Create your models here.
| 29.545455 | 102 | 0.682308 |
101ea49bb93a3f7ed00d033876886b5bfdafa971 | 1,870 | py | Python | tests/helper.py | MSLNZ/MSL-IO | 0b7a1f6ddacc936a98f134fd67f209840a500030 | [
"MIT"
] | 6 | 2021-06-27T00:26:09.000Z | 2022-02-11T06:04:23.000Z | tests/helper.py | MSLNZ/MSL-IO | 0b7a1f6ddacc936a98f134fd67f209840a500030 | [
"MIT"
] | null | null | null | tests/helper.py | MSLNZ/MSL-IO | 0b7a1f6ddacc936a98f134fd67f209840a500030 | [
"MIT"
] | 1 | 2018-03-01T03:11:00.000Z | 2018-03-01T03:11:00.000Z | """
Helper functions for the tests
"""
import os
import numpy as np
from msl.io import read
def read_sample(filename, **kwargs):
"""Read a file in the 'samples' directory.
Parameters
----------
filename : str
The name of the file in the samples/ directory
Returns
-------
A root... | 27.5 | 87 | 0.617647 |
101f9a1a4f2942de9319c207e8d75011f9f74070 | 1,019 | py | Python | imagepy/tools/Draw/floodfill_tol.py | adines/imagepy | d7cdf3273d25e06046626ef2ef9200b1846ea49a | [
"BSD-4-Clause"
] | 1 | 2019-02-22T03:09:24.000Z | 2019-02-22T03:09:24.000Z | imagepy/tools/Draw/floodfill_tol.py | adines/imagepy | d7cdf3273d25e06046626ef2ef9200b1846ea49a | [
"BSD-4-Clause"
] | null | null | null | imagepy/tools/Draw/floodfill_tol.py | adines/imagepy | d7cdf3273d25e06046626ef2ef9200b1846ea49a | [
"BSD-4-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 17:35:09 2016
@author: yxl
"""
from imagepy.core.engine import Tool
import numpy as np
from imagepy.core.manager import ColorManager
from imagepy.core.draw.fill import floodfill
| 26.815789 | 87 | 0.557409 |
10204734fd1c1eef0317965dd5d5dbfb049ba8d9 | 953 | py | Python | authors/apps/articles/signals.py | andela/ah-backend-summer | f842a3e02f8418f123dc5de36809ad67557b1c1d | [
"BSD-3-Clause"
] | 1 | 2019-03-11T12:45:24.000Z | 2019-03-11T12:45:24.000Z | authors/apps/articles/signals.py | andela/ah-backend-summer | f842a3e02f8418f123dc5de36809ad67557b1c1d | [
"BSD-3-Clause"
] | 53 | 2019-01-29T08:02:23.000Z | 2022-03-11T23:39:37.000Z | authors/apps/articles/signals.py | andela/ah-backend-summer | f842a3e02f8418f123dc5de36809ad67557b1c1d | [
"BSD-3-Clause"
] | 5 | 2019-10-04T07:02:38.000Z | 2020-06-11T12:39:22.000Z | """Signal dispatchers and handlers for the articles module"""
from django.db.models.signals import post_save
from django.dispatch import receiver, Signal
from authors.apps.articles.models import Article
# our custom signal that will be sent when a new article is published
# we could have stuck to using the post_save ... | 36.653846 | 75 | 0.736621 |
1021bc2651a4687c5f86fe5d2e96514c84207cfb | 4,923 | py | Python | benchmarks/roberta/benchmark_tft.py | legacyai/tf-transformers | 65a5f9a4bcb3236483daa598a37b91673f56cb97 | [
"Apache-2.0"
] | 116 | 2021-03-15T09:48:41.000Z | 2022-03-24T05:15:51.000Z | benchmarks/roberta/benchmark_tft.py | legacyai/tf-transformers | 65a5f9a4bcb3236483daa598a37b91673f56cb97 | [
"Apache-2.0"
] | 4 | 2021-03-20T11:20:57.000Z | 2022-01-05T04:59:07.000Z | benchmarks/roberta/benchmark_tft.py | legacyai/tf-transformers | 65a5f9a4bcb3236483daa598a37b91673f56cb97 | [
"Apache-2.0"
] | 9 | 2021-03-17T04:14:48.000Z | 2021-09-13T07:15:31.000Z | """TFTBechmark scripts"""
import shutil
import tempfile
import time
import tensorflow as tf
import tqdm
from datasets import load_dataset
from transformers import RobertaTokenizerFast
from tf_transformers.models import Classification_Model
from tf_transformers.models import RobertaModel as Model
_ALLOWED_DECODER_TYP... | 31.967532 | 114 | 0.655495 |
102307b53d88ad118e69555cc2a3d59eca3bcc56 | 393 | py | Python | Linear Structures/LinkedList/Single Linkedlist/LinkedList Traversal.py | Ash515/PyDataStructures | e8bd4f8866a85482f43a7db11c0db40f1c1151bc | [
"MIT"
] | 7 | 2020-11-24T12:27:11.000Z | 2021-09-28T14:51:35.000Z | Linear Structures/LinkedList/Single Linkedlist/LinkedList Traversal.py | Ash515/PyDataStructures | e8bd4f8866a85482f43a7db11c0db40f1c1151bc | [
"MIT"
] | null | null | null | Linear Structures/LinkedList/Single Linkedlist/LinkedList Traversal.py | Ash515/PyDataStructures | e8bd4f8866a85482f43a7db11c0db40f1c1151bc | [
"MIT"
] | null | null | null | ll=LinkedList()
ll.Print_ll()
| 21.833333 | 40 | 0.519084 |
10241faf582974a58757a74fbc6ec5ed03a8cff3 | 170 | py | Python | devlivery/ext/migrate/__init__.py | wlsouza/flasklivery | 564c6135d29493ae5efe074488cb0df7f811d889 | [
"Unlicense"
] | null | null | null | devlivery/ext/migrate/__init__.py | wlsouza/flasklivery | 564c6135d29493ae5efe074488cb0df7f811d889 | [
"Unlicense"
] | null | null | null | devlivery/ext/migrate/__init__.py | wlsouza/flasklivery | 564c6135d29493ae5efe074488cb0df7f811d889 | [
"Unlicense"
] | null | null | null | from flask import Flask
from flask_migrate import Migrate
from devlivery.ext.db import db
migrate = Migrate()
| 15.454545 | 33 | 0.758824 |
1024a19ea737a54eb4b1646afd282457a464d5aa | 1,027 | py | Python | src/query_planner/storage_plan.py | alilakda/Eva | e3d447f81e1e47172e21758c059ad6f5ee21ffa4 | [
"Apache-2.0"
] | null | null | null | src/query_planner/storage_plan.py | alilakda/Eva | e3d447f81e1e47172e21758c059ad6f5ee21ffa4 | [
"Apache-2.0"
] | null | null | null | src/query_planner/storage_plan.py | alilakda/Eva | e3d447f81e1e47172e21758c059ad6f5ee21ffa4 | [
"Apache-2.0"
] | 1 | 2020-02-19T02:11:39.000Z | 2020-02-19T02:11:39.000Z | from src.models.catalog.video_info import VideoMetaInfo
from src.query_planner.abstract_plan import AbstractPlan
from src.query_planner.types import PlanNodeType
| 25.675 | 78 | 0.665044 |
1025728984eda2735c08a9884289c0228f56f366 | 34 | py | Python | env/lib/python3.6/base64.py | xianjunzhengbackup/Cloud-Native-Python | 0b74303b444a74210bc2e95f13d17771f6f71583 | [
"MIT"
] | 2 | 2020-09-22T14:38:24.000Z | 2020-10-30T03:11:36.000Z | SDK/Example/Linkage_demo/work_with_AlwaysAI/pedestrian_tracking_demo/venv/lib/python3.6/base64.py | EyecloudAi/OpenNCC-SDK | efeebfe385a900280de6f46d80bd6fff0416aba3 | [
"Apache-2.0"
] | null | null | null | SDK/Example/Linkage_demo/work_with_AlwaysAI/pedestrian_tracking_demo/venv/lib/python3.6/base64.py | EyecloudAi/OpenNCC-SDK | efeebfe385a900280de6f46d80bd6fff0416aba3 | [
"Apache-2.0"
] | 1 | 2019-11-21T12:23:41.000Z | 2019-11-21T12:23:41.000Z | /usr/local/lib/python3.6/base64.py | 34 | 34 | 0.794118 |
10284f0ef7e85d673663fac1fed0f6fb76403071 | 2,802 | py | Python | python-scripts/3nPlus1.py | leo237/scripts | 6e530ba4afd89a9747e62f1bd63eb2310791091c | [
"MIT"
] | null | null | null | python-scripts/3nPlus1.py | leo237/scripts | 6e530ba4afd89a9747e62f1bd63eb2310791091c | [
"MIT"
] | null | null | null | python-scripts/3nPlus1.py | leo237/scripts | 6e530ba4afd89a9747e62f1bd63eb2310791091c | [
"MIT"
] | null | null | null | import logging
import matplotlib.pyplot as plt
import argparse
from typing import List
from enum import Enum
from enum import Enum
def get_arguments():
parser = argparse.ArgumentParser(description='Generate 3n+1 graphs')
parser.add_argument('--num', '-n', type=int, help='Generate 3n+1 function till num ', default=30... | 23.35 | 147 | 0.692363 |
102bacad1f71192a75efa312e5576727d5d197a4 | 2,894 | py | Python | test/functional/tests/initialize/test_clean_reboot.py | Ostrokrzew/open-cas-linux | 35eb5682c9aae13ee7b44da5acc2dd0b593a0b10 | [
"BSD-3-Clause-Clear"
] | 139 | 2019-03-29T08:01:40.000Z | 2022-03-19T01:01:44.000Z | test/functional/tests/initialize/test_clean_reboot.py | Ostrokrzew/open-cas-linux | 35eb5682c9aae13ee7b44da5acc2dd0b593a0b10 | [
"BSD-3-Clause-Clear"
] | 604 | 2019-04-12T14:18:59.000Z | 2022-03-31T18:19:56.000Z | test/functional/tests/initialize/test_clean_reboot.py | Ostrokrzew/open-cas-linux | 35eb5682c9aae13ee7b44da5acc2dd0b593a0b10 | [
"BSD-3-Clause-Clear"
] | 64 | 2019-03-29T08:44:01.000Z | 2022-03-30T09:11:30.000Z | #
# Copyright(c) 2020-2021 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause-Clear
#
import os
import pytest
from api.cas import casadm
from api.cas.cache_config import CacheMode
from core.test_run import TestRun
from storage_devices.disk import DiskTypeSet, DiskType, DiskTypeLowerThan
from test_tools.dd impo... | 36.175 | 87 | 0.685211 |
102d40488d0cca4d36fca9f9b896d9f118df7173 | 393 | py | Python | 4/state/ResultState.py | ytyaru/Pygame.GameState.201707251432 | c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2 | [
"CC0-1.0"
] | null | null | null | 4/state/ResultState.py | ytyaru/Pygame.GameState.201707251432 | c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2 | [
"CC0-1.0"
] | null | null | null | 4/state/ResultState.py | ytyaru/Pygame.GameState.201707251432 | c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2 | [
"CC0-1.0"
] | null | null | null | import pygame
from pygame.locals import *
from .GameState import GameState
| 35.727273 | 102 | 0.692112 |
102e04336b537dbf112a2ddd7fae2de699b6b707 | 7,093 | py | Python | bindgen.py | fitzgen/wasmtime-py | 02a2af5e012a44af77690d59fd97df4d3caba962 | [
"Apache-2.0"
] | null | null | null | bindgen.py | fitzgen/wasmtime-py | 02a2af5e012a44af77690d59fd97df4d3caba962 | [
"Apache-2.0"
] | null | null | null | bindgen.py | fitzgen/wasmtime-py | 02a2af5e012a44af77690d59fd97df4d3caba962 | [
"Apache-2.0"
] | null | null | null | # type: ignore
# This is a small script to parse the header files from wasmtime and generate
# appropriate function definitions in Python for each exported function. This
# also reflects types into Python with `ctypes`. While there's at least one
# other generate that does this already it seemed to not quite fit our p... | 34.100962 | 93 | 0.549556 |
102e1e5c55ff01d3808c58b77752bddaea6f8b94 | 1,115 | py | Python | Chapter38.ManagedAttributes/3-desc-state-inst.py | mindnhand/Learning-Python-5th | 3dc1b28d6e048d512bf851de6c7f6445edfe7b84 | [
"MIT"
] | null | null | null | Chapter38.ManagedAttributes/3-desc-state-inst.py | mindnhand/Learning-Python-5th | 3dc1b28d6e048d512bf851de6c7f6445edfe7b84 | [
"MIT"
] | null | null | null | Chapter38.ManagedAttributes/3-desc-state-inst.py | mindnhand/Learning-Python-5th | 3dc1b28d6e048d512bf851de6c7f6445edfe7b84 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#encoding=utf-8
#------------------------------------------------
# Usage: python3 3-desc-state-inst.py
# Description: descriptor for attribute intercept
#------------------------------------------------
# Client class
if __name__ == '__main__':
obj = CalcAttrs()
print(obj.X, obj.... | 28.589744 | 63 | 0.556951 |
102f51bc17643b398143c26098d6f0bd199096fd | 342 | py | Python | src/property_app/app_info.py | almostprod/property-app | 2e9dc6c64e7fd91d287fc95e513fa3ab1079fa54 | [
"Apache-2.0"
] | 2 | 2020-03-03T16:52:31.000Z | 2020-03-17T21:35:30.000Z | src/property_app/app_info.py | amcclosky/property-app | 9afb0210739955ff19bfcb477acdbd07521ce851 | [
"Apache-2.0"
] | 1 | 2021-05-11T16:54:56.000Z | 2021-05-11T16:54:56.000Z | src/property_app/app_info.py | amcclosky/property-app | 9afb0210739955ff19bfcb477acdbd07521ce851 | [
"Apache-2.0"
] | 1 | 2020-05-04T06:39:35.000Z | 2020-05-04T06:39:35.000Z | import time
from dataclasses import dataclass
from datetime import date, datetime
from property_app.config import get_config
config = get_config()
| 20.117647 | 44 | 0.75731 |
1030df14c1adf08ce6691dd030b83b86e5a978e4 | 133 | py | Python | services/explorer/config/gunicorn/config.py | cheperuiz/elasticskill | 41d9e72a59468ee2676538a584448d16d59a7c51 | [
"MIT"
] | null | null | null | services/explorer/config/gunicorn/config.py | cheperuiz/elasticskill | 41d9e72a59468ee2676538a584448d16d59a7c51 | [
"MIT"
] | 2 | 2020-09-11T15:10:35.000Z | 2022-01-22T10:29:45.000Z | services/explorer/config/gunicorn/config.py | cheperuiz/elasticskill | 41d9e72a59468ee2676538a584448d16d59a7c51 | [
"MIT"
] | null | null | null | bind = "0.0.0.0:5000"
backlog = 2048
workers = 1
worker_class = "sync"
threads = 16
spew = False
reload = True
loglevel = "debug"
| 11.083333 | 21 | 0.661654 |
103175058f2fa208dcde4dafb16a9cb6d6a48a58 | 723 | py | Python | Boot2Root/hackthebox/Tenten/files/exploit.py | Kan1shka9/CTFs | 33ab33e094ea8b52714d5dad020c25730e91c0b0 | [
"MIT"
] | 21 | 2016-02-06T14:30:01.000Z | 2020-09-11T05:39:17.000Z | Boot2Root/hackthebox/Tenten/files/exploit.py | Kan1shka9/CTFs | 33ab33e094ea8b52714d5dad020c25730e91c0b0 | [
"MIT"
] | null | null | null | Boot2Root/hackthebox/Tenten/files/exploit.py | Kan1shka9/CTFs | 33ab33e094ea8b52714d5dad020c25730e91c0b0 | [
"MIT"
] | 7 | 2017-02-02T16:27:02.000Z | 2021-04-30T17:14:53.000Z | import requests
print """
CVE-2015-6668
Title: CV filename disclosure on Job-Manager WP Plugin
Author: Evangelos Mourikis
Blog: https://vagmour.eu
Plugin URL: http://www.wp-jobmanager.com
Versions: <=0.7.25
"""
website = raw_input('Enter a vulnerable website: ')
filename = raw_input('Enter a file nam... | 30.125 | 124 | 0.593361 |
10318f66a573c70a9037cd72320a499bd6bc01f7 | 1,129 | py | Python | setup.py | iomintz/sql-remove-comma | 503bb90c1fd3346ea783ef826247a5e44dc7c743 | [
"BSD-2-Clause-Patent"
] | null | null | null | setup.py | iomintz/sql-remove-comma | 503bb90c1fd3346ea783ef826247a5e44dc7c743 | [
"BSD-2-Clause-Patent"
] | null | null | null | setup.py | iomintz/sql-remove-comma | 503bb90c1fd3346ea783ef826247a5e44dc7c743 | [
"BSD-2-Clause-Patent"
] | null | null | null | #!/usr/bin/env python3
import setuptools
setuptools.setup(
name='sql-remove-comma',
description='remove illegal trailing commas from your SQL code',
use_scm_version=True,
author='Io Mintz',
author_email='io@mintz.cc',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
li... | 26.255814 | 65 | 0.672276 |
1032c536542b9f2909cde345955741bac4143f87 | 418 | py | Python | RQ1and2/code/results/test_all.py | CESEL/BatchBuilderResearch | 0a1e3ee095e568fdf2f7ab1ce864efc9b490af6e | [
"MIT"
] | null | null | null | RQ1and2/code/results/test_all.py | CESEL/BatchBuilderResearch | 0a1e3ee095e568fdf2f7ab1ce864efc9b490af6e | [
"MIT"
] | null | null | null | RQ1and2/code/results/test_all.py | CESEL/BatchBuilderResearch | 0a1e3ee095e568fdf2f7ab1ce864efc9b490af6e | [
"MIT"
] | null | null | null | from utils import project_list
from learning import IncrementalLearningModel
main()
| 19.904762 | 58 | 0.696172 |
1033ffe67b91f750cd6a18292a63c21167fe56d7 | 228 | py | Python | src/zebra_refresh.py | r0x73/alfred-zebra | fe802044fdc34172811c77433967bce46f084ed1 | [
"MIT"
] | 3 | 2017-08-10T12:54:03.000Z | 2018-01-17T08:42:47.000Z | src/zebra_refresh.py | r0x73/alfred-zebra | fe802044fdc34172811c77433967bce46f084ed1 | [
"MIT"
] | 4 | 2016-08-03T09:41:06.000Z | 2016-09-01T06:34:12.000Z | src/zebra_refresh.py | r0x73/alfred-zebra | fe802044fdc34172811c77433967bce46f084ed1 | [
"MIT"
] | null | null | null | import zebra
from workflow import Workflow
if __name === '__main__':
wf = Workflow()
wf.cache_data('zebra_all_projects', zebra.get_all_projects())
wf.cache_data('zebra_aliased_activities', zebra.get_aliased_activities()) | 28.5 | 75 | 0.776316 |
103416f9713f35181916b130993432d39011fa96 | 10,729 | py | Python | car_core/car.py | edwardyehuang/CAR | a9f179ebd9ac38516c9827ca95f1f38a28aa317f | [
"MIT"
] | 6 | 2022-03-15T03:32:35.000Z | 2022-03-31T13:43:33.000Z | car_core/car.py | edwardyehuang/CAR | a9f179ebd9ac38516c9827ca95f1f38a28aa317f | [
"MIT"
] | null | null | null | car_core/car.py | edwardyehuang/CAR | a9f179ebd9ac38516c9827ca95f1f38a28aa317f | [
"MIT"
] | 1 | 2022-03-31T13:43:37.000Z | 2022-03-31T13:43:37.000Z |
# ================================================================
# MIT License
# Copyright (c) 2022 edwardyehuang (https://github.com/edwardyehuang)
# ================================================================
import tensorflow as tf
from iseg.layers.normalizations import normalization
from iseg.utils.attent... | 37.383275 | 144 | 0.637245 |
1034d4fa21e4a774fdb7001458be9aa8431d220c | 2,009 | py | Python | packs/orion/actions/list_sdk_verb_args.py | prajwal222/prajwal | ce1431858a9b54ae2a9546e9afab9f4b722bd210 | [
"Apache-2.0"
] | null | null | null | packs/orion/actions/list_sdk_verb_args.py | prajwal222/prajwal | ce1431858a9b54ae2a9546e9afab9f4b722bd210 | [
"Apache-2.0"
] | 1 | 2022-03-08T17:03:46.000Z | 2022-03-08T17:03:46.000Z | packs/orion/actions/list_sdk_verb_args.py | isabella232/st2contrib | 182af2fb6e26a1d002954b19a5cc7afc73307872 | [
"Apache-2.0"
] | 1 | 2019-07-10T21:23:49.000Z | 2019-07-10T21:23:49.000Z | # Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use th... | 36.527273 | 74 | 0.648084 |
103601948f6165db5db865f0b5d72730ec02f8bd | 5,979 | py | Python | Ui_share.py | Mochongli/lanzou-gui | 0da48c627c70d7be4662e3312d135b28acdc1b57 | [
"MIT"
] | 2 | 2020-09-17T14:27:07.000Z | 2021-06-28T08:44:35.000Z | Ui_share.py | Mochongli/lanzou-gui | 0da48c627c70d7be4662e3312d135b28acdc1b57 | [
"MIT"
] | null | null | null | Ui_share.py | Mochongli/lanzou-gui | 0da48c627c70d7be4662e3312d135b28acdc1b57 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/rach/Documents/lanzou-gui/share.ui'
#
# Created by: PyQt5 UI code generator 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
| 46.710938 | 95 | 0.68657 |
10360d23deea826893e597ec11b95b8d2db92420 | 129 | py | Python | codeforces/anirudhak47/1335/A.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | 3 | 2020-07-09T16:15:42.000Z | 2020-07-17T13:19:42.000Z | codeforces/anirudhak47/1335/A.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | null | null | null | codeforces/anirudhak47/1335/A.py | anirudhakulkarni/codes | d7a907951033b57314dfc0b837123aaa5c25a39a | [
"MIT"
] | 1 | 2020-07-17T13:19:48.000Z | 2020-07-17T13:19:48.000Z | for t in range(int(input())):
n=int(input())
if n%2==0:
print(int(n/2-1))
else:
print(int(n//2)) | 21.5 | 30 | 0.449612 |
1037e099e65b884fd19f0953fbf98c040598fcd6 | 6,959 | py | Python | imageclassification/training/session.py | aisosalo/CIFAR-10 | 8747ba2404bbe7043268dc8afa722938dc3db058 | [
"MIT"
] | 4 | 2019-03-01T21:47:40.000Z | 2020-11-23T17:53:26.000Z | imageclassification/training/session.py | aisosalo/CIFAR-10 | 8747ba2404bbe7043268dc8afa722938dc3db058 | [
"MIT"
] | null | null | null | imageclassification/training/session.py | aisosalo/CIFAR-10 | 8747ba2404bbe7043268dc8afa722938dc3db058 | [
"MIT"
] | 5 | 2019-11-28T13:31:50.000Z | 2022-03-31T21:04:16.000Z | import sys
import os
import time
import random
import numpy as np
from termcolor import colored
from functools import partial
from tensorboardX import SummaryWriter
import torch
from torch.utils.data import DataLoader
from torchvision import transforms as tv_transforms
import solt.transforms as slt
import solt.c... | 36.626316 | 132 | 0.620348 |
10387d5bca747ed2fb01a238f98496c602127cb4 | 293 | py | Python | remotelogin/oper_sys/busybox/__init__.py | filintod/pyremotelogin | e2a4df7fd69d21eccdf1aec55c33a839de9157f1 | [
"MIT"
] | 1 | 2018-11-20T17:45:20.000Z | 2018-11-20T17:45:20.000Z | remotelogin/oper_sys/busybox/__init__.py | filintod/pyremotelogin | e2a4df7fd69d21eccdf1aec55c33a839de9157f1 | [
"MIT"
] | 3 | 2018-10-16T18:07:50.000Z | 2018-10-16T18:10:06.000Z | remotelogin/oper_sys/busybox/__init__.py | filintod/pyremotelogin | e2a4df7fd69d21eccdf1aec55c33a839de9157f1 | [
"MIT"
] | null | null | null | from . import shellcommands
from ..linux import LinuxOS
__author__ = 'Filinto Duran (duranto@gmail.com)'
# TODO: break unix/linux to a bare and expand from there
| 20.928571 | 56 | 0.696246 |
1038f2cc4542c018a0f73531e58b1bd026455441 | 11,988 | py | Python | DIP/src/utils/utils.py | Jay-Lewis/phase_retrieval | 799cef92852c53e62e2a548f605652923e979456 | [
"MIT"
] | 4 | 2019-01-27T11:46:11.000Z | 2020-12-17T12:23:15.000Z | DIP/src/utils/utils.py | Jay-Lewis/phase_retrieval | 799cef92852c53e62e2a548f605652923e979456 | [
"MIT"
] | null | null | null | DIP/src/utils/utils.py | Jay-Lewis/phase_retrieval | 799cef92852c53e62e2a548f605652923e979456 | [
"MIT"
] | 1 | 2020-10-15T02:53:12.000Z | 2020-10-15T02:53:12.000Z | import math
import numpy as np
import os.path
import urllib.request as urllib
import gzip
import pickle
import pandas as pd
from scipy.misc import imsave
from src.utils.download import *
import src.utils.image_load_helpers as image_load_helpers
import glob
def save_zip_data(object, filename, bin = 1):
"""Sav... | 31.464567 | 120 | 0.611445 |
1039b022c5fb3fa4258162d12d3e7a230a204279 | 282 | py | Python | 2. Conditional and Repetitive Execution/2.2. Even or Odd.py | ahmetutkuozkan/my_ceng240_exercises_solutions | 167bb9938515870ec1f01853933edc3b55937bff | [
"MIT"
] | null | null | null | 2. Conditional and Repetitive Execution/2.2. Even or Odd.py | ahmetutkuozkan/my_ceng240_exercises_solutions | 167bb9938515870ec1f01853933edc3b55937bff | [
"MIT"
] | null | null | null | 2. Conditional and Repetitive Execution/2.2. Even or Odd.py | ahmetutkuozkan/my_ceng240_exercises_solutions | 167bb9938515870ec1f01853933edc3b55937bff | [
"MIT"
] | null | null | null | value1 = int(input()); value2 = value1//100
if value1 % 2==0 and value2 % 2==0:
print("Even")
elif value1 % 2==0 and value2 % 2==1:
print("Even Odd")
elif value1 % 2==1 and value2 % 2==1:
print("Odd")
elif value1 % 2==1 and value2 % 2==0:
print("Odd Even")
| 28.2 | 44 | 0.567376 |
103b74338ebd3a256125530370b8d63b824deb3c | 339 | py | Python | First_course/ex2_2.py | laetrid/learning | b28312c34db2118fb7d5691834b8f7e628117642 | [
"Apache-2.0"
] | null | null | null | First_course/ex2_2.py | laetrid/learning | b28312c34db2118fb7d5691834b8f7e628117642 | [
"Apache-2.0"
] | null | null | null | First_course/ex2_2.py | laetrid/learning | b28312c34db2118fb7d5691834b8f7e628117642 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
column1 = "NETWORK_NUMBER"
column2 = "FIRST_OCTET_BINARY"
column3 = "FIRST_OCTET_HEX"
ip_addr = '88.19.107.0'
formatter = '%-20s%-20s%-20s'
octets = ip_addr.split('.')
a = bin(int(octets[0]))
b = hex(int(octets[0]))
print ""
print formatter % (column1, column2, column3)
print formatter % (ip_ad... | 19.941176 | 45 | 0.678466 |
103c0a4ba3c0768fdcf0d8428f050d11782bc6b9 | 511 | py | Python | serendipity/set_and_map/singly_linked_list_set.py | globotree/serendipity | 8380635a4760a5393330460bb625834ffe02967c | [
"Unlicense"
] | 3 | 2019-03-12T10:00:53.000Z | 2019-05-29T10:40:28.000Z | serendipity/set_and_map/singly_linked_list_set.py | globotree/serendipity | 8380635a4760a5393330460bb625834ffe02967c | [
"Unlicense"
] | 12 | 2018-12-17T13:31:19.000Z | 2019-02-13T10:25:01.000Z | serendipity/set_and_map/singly_linked_list_set.py | globotree/serendipity | 8380635a4760a5393330460bb625834ffe02967c | [
"Unlicense"
] | 1 | 2020-01-24T00:48:57.000Z | 2020-01-24T00:48:57.000Z | from serendipity.linear_structures.singly_linked_list import LinkedList
| 21.291667 | 71 | 0.614481 |
103ddecd77ffe2029b07f7ee212a250ddb0a808d | 1,546 | py | Python | settings.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | 12 | 2017-12-24T13:58:17.000Z | 2021-04-06T16:21:00.000Z | settings.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | null | null | null | settings.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | 1 | 2021-10-17T14:45:44.000Z | 2021-10-17T14:45:44.000Z | # -*- coding: utf-8 -*-
"""
settings = conf.default.py + settings_{env}.py
"""
# import os
# import importlib
from conf.default import *
# ========================================================================================
# IMPORT ENV SETTINGS
# =================================... | 39.641026 | 107 | 0.493532 |
103ee262884abe730921725155217f60f63708d4 | 7,958 | py | Python | scripts/elitech_device.py | grvstick/elitech-datareader | 21b778066477a9ba81624c883b7ab7f13302edec | [
"MIT"
] | 58 | 2015-06-16T06:08:11.000Z | 2022-01-14T21:06:00.000Z | scripts/elitech_device.py | grvstick/elitech-datareader | 21b778066477a9ba81624c883b7ab7f13302edec | [
"MIT"
] | 29 | 2015-11-20T14:38:32.000Z | 2022-02-16T20:26:05.000Z | scripts/elitech_device.py | grvstick/elitech-datareader | 21b778066477a9ba81624c883b7ab7f13302edec | [
"MIT"
] | 16 | 2016-05-18T20:56:36.000Z | 2021-07-29T09:03:32.000Z | #!/usr/bin/env python
# coding: utf-8
import argparse
import elitech
import datetime
from elitech.msg import (
StopButton,
ToneSet,
AlarmSetting,
TemperatureUnit,
)
from elitech.msg import _bin
import six
import os
def parse_args():
"""
:rtype: argparse.Namespace
"""
parser = argparse... | 35.846847 | 135 | 0.641995 |
103f2a791154bb415c83bcbe5d49dfe926f934f8 | 295 | py | Python | Assignment 1/task3/map.py | JeetKamdar/Big-Data-Assignments | 54760de4b2f815168f61539eb9e79ff5e1bd7266 | [
"MIT"
] | null | null | null | Assignment 1/task3/map.py | JeetKamdar/Big-Data-Assignments | 54760de4b2f815168f61539eb9e79ff5e1bd7266 | [
"MIT"
] | null | null | null | Assignment 1/task3/map.py | JeetKamdar/Big-Data-Assignments | 54760de4b2f815168f61539eb9e79ff5e1bd7266 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import string
import re
for line in sys.stdin:
if '"' in line:
entry = re.split(''',(?=(?:[^'"]|'[^']*'|"[^"]*")*$)''', line)
else:
entry = line.split(",")
licence_type = entry[2]
amount_due = entry[-6]
print("%s\t%s" % (licence_type, amount_due))
| 16.388889 | 64 | 0.566102 |
103fc50711d0b0de84f01f2724705c3318868eda | 273 | py | Python | src/aijack/attack/inversion/__init__.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:44.000Z | 2022-03-17T21:17:44.000Z | src/aijack/attack/inversion/__init__.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | null | null | null | src/aijack/attack/inversion/__init__.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 1 | 2022-03-17T21:17:46.000Z | 2022-03-17T21:17:46.000Z | from .gan_attack import GAN_Attack # noqa: F401
from .generator_attack import Generator_Attack # noqa: F401
from .gradientinversion import GradientInversion_Attack # noqa: F401
from .mi_face import MI_FACE # noqa: F401
from .utils import DataRepExtractor # noqa: F401
| 45.5 | 69 | 0.798535 |
104022f80f0cfe30ed3aab519ac4eeadac303cfa | 867 | py | Python | INBa/2015/ZORIN_D_I/task_4_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/ZORIN_D_I/task_4_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/ZORIN_D_I/task_4_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # 4. 7.
# , , . , , ( ), ( ). . Enter .
# ..
# 11.04.2016
name = " "
birthplace = ", "
date1 = 1931
date2 = 2016
age = date2 - date1
interest = ""
print(name+"- - ")
print(" : "+birthplace)
print(" : ", date1)
print(": ", age)
print(" : "+interest)
input("\n\n EN... | 43.35 | 443 | 0.7797 |
10402fdf566c301bcd9dcb713ba61afdb6b551f7 | 676 | py | Python | backend/api/models/request.py | haroldadmin/transportation-analytics-platform | 366891dc422d3a72287b3224fbf5b0daf3d14751 | [
"Apache-2.0"
] | null | null | null | backend/api/models/request.py | haroldadmin/transportation-analytics-platform | 366891dc422d3a72287b3224fbf5b0daf3d14751 | [
"Apache-2.0"
] | null | null | null | backend/api/models/request.py | haroldadmin/transportation-analytics-platform | 366891dc422d3a72287b3224fbf5b0daf3d14751 | [
"Apache-2.0"
] | null | null | null | from flask_restplus import fields, Model
route_request_model = Model("Represents a Route Request", {
"id": fields.Integer(description="Unique identifier for the ride"),
"start_point_lat": fields.Float(description="Represents the latitude of the starting point"),
"start_point_long": fields.Float(descripti... | 45.066667 | 99 | 0.778107 |
10413843e688dfdc69f4f93d1b633fcb197a316d | 4,554 | py | Python | uitester/ui/main_window.py | IfengAutomation/uitester | 6f9c78c86965b05efea875d38dbd9587386977fa | [
"Apache-2.0"
] | 4 | 2016-07-12T09:01:52.000Z | 2016-12-07T03:11:02.000Z | uitester/ui/main_window.py | IfengAutomation/uitester | 6f9c78c86965b05efea875d38dbd9587386977fa | [
"Apache-2.0"
] | null | null | null | uitester/ui/main_window.py | IfengAutomation/uitester | 6f9c78c86965b05efea875d38dbd9587386977fa | [
"Apache-2.0"
] | 3 | 2016-11-29T02:13:17.000Z | 2019-10-16T06:25:20.000Z | # @Time : 2016/8/17 10:56
# @Author : lixintong
import logging
import os
import sys
from PyQt5 import uic
from PyQt5.QtCore import pyqtSignal, Qt
from PyQt5.QtWidgets import QMainWindow, QApplication, QDesktopWidget, QMessageBox
from uitester.test_manager.tester import Tester
from uitester.ui.case_manager.case_ed... | 35.030769 | 113 | 0.647343 |
1041fae3393c3977b85dd8a7c05c2822f0550318 | 13,034 | py | Python | demos/DPSRGAN/dpsrmodels/basicblock.py | hduba/MDF | 62eb2a1a5b8274206aae71903da2c2ad33ce687d | [
"BSD-3-Clause"
] | 1 | 2021-05-18T06:20:49.000Z | 2021-05-18T06:20:49.000Z | demos/DPSRGAN/dpsrmodels/basicblock.py | hduba/MDF | 62eb2a1a5b8274206aae71903da2c2ad33ce687d | [
"BSD-3-Clause"
] | null | null | null | demos/DPSRGAN/dpsrmodels/basicblock.py | hduba/MDF | 62eb2a1a5b8274206aae71903da2c2ad33ce687d | [
"BSD-3-Clause"
] | 2 | 2021-09-09T19:07:57.000Z | 2021-10-02T15:56:59.000Z | from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Module
'''
# ===================================
# Advanced nn.Sequential
# reform nn.Sequentials and nn.Modules
# to a single nn.Sequential
# ===================================
'''
'''
# ===... | 38.448378 | 160 | 0.529155 |
1042258a2c6461db6839a5ffc457fce5341726df | 8,251 | py | Python | ml-models-analyses/readahead-mixed-workload/kmlparsing.py | drewscottt/kernel-ml | 713fd825e3681d2d7d5250120c992cb19b662351 | [
"Apache-2.0"
] | 167 | 2021-11-23T04:10:12.000Z | 2022-03-19T21:31:22.000Z | ml-models-analyses/readahead-mixed-workload/kmlparsing.py | drewscottt/kernel-ml | 713fd825e3681d2d7d5250120c992cb19b662351 | [
"Apache-2.0"
] | null | null | null | ml-models-analyses/readahead-mixed-workload/kmlparsing.py | drewscottt/kernel-ml | 713fd825e3681d2d7d5250120c992cb19b662351 | [
"Apache-2.0"
] | 9 | 2021-11-24T18:03:25.000Z | 2022-02-06T01:30:23.000Z | #
# Copyright (c) 2019-2021 Ibrahim Umit Akgun
# Copyright (c) 2021-2021 Andrew Burford
# Copyright (c) 2021-2021 Mike McNeill
# Copyright (c) 2021-2021 Michael Arkhangelskiy
# Copyright (c) 2020-2021 Aadil Shaikh
# Copyright (c) 2020-2021 Lukas Velikov
# Copyright (c) 2019-2021 Erez Zadok
# Copyright (c) 2019-2021 Sto... | 39.104265 | 119 | 0.533026 |
10425f3043aed2d9ee265e0c0950ea8c8e237a9e | 6,374 | py | Python | src/py_dss_tools/secondary/Circuit.py | eniovianna/py_dss_tools | 3057fb0b74facd05a362e4e4a588f79f70aa9dd7 | [
"MIT"
] | 3 | 2021-05-29T00:40:10.000Z | 2021-09-30T17:56:14.000Z | src/py_dss_tools/secondary/Circuit.py | eniovianna/py_dss_tools | 3057fb0b74facd05a362e4e4a588f79f70aa9dd7 | [
"MIT"
] | null | null | null | src/py_dss_tools/secondary/Circuit.py | eniovianna/py_dss_tools | 3057fb0b74facd05a362e4e4a588f79f70aa9dd7 | [
"MIT"
] | 3 | 2021-05-29T00:40:46.000Z | 2022-01-13T22:04:49.000Z | # -*- encoding: utf-8 -*-
"""
Created by nio Viana at 01/09/2021 at 19:51:44
Project: py_dss_tools [set, 2021]
"""
import attr
import pandas as pd
from py_dss_tools.model.other import VSource
from py_dss_tools.utils import Utils
| 32.191919 | 119 | 0.588798 |
1045970cd8dff036939d1d34b09329c2cb8a87e3 | 1,270 | py | Python | day2.py | cjfuller/adventofcode2015 | 1fbe75e29def156dbe1dc1336ff857945a6a365c | [
"MIT"
] | null | null | null | day2.py | cjfuller/adventofcode2015 | 1fbe75e29def156dbe1dc1336ff857945a6a365c | [
"MIT"
] | null | null | null | day2.py | cjfuller/adventofcode2015 | 1fbe75e29def156dbe1dc1336ff857945a6a365c | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from util import load_input, bear_init
box_specs = load_input(2)
boxes = [Box.from_str(spec) for spec in box_specs.splitlines()]
total_sqft = sum(box.paper_area for box in boxes)
print(f"Part 1: {total_sqft}")
total_ribbon_ft = sum(box.ribbon_length for box in boxes)
print(f"... | 22.280702 | 84 | 0.588189 |
1047517a8fc519c2245e3ae4ac28ca41f0c16f09 | 7,928 | py | Python | todo/commands/complete.py | Kuro-Rui/JojoCogs | 57b86694e29462c5f5b561bc4a060ed04cfb8deb | [
"MIT"
] | null | null | null | todo/commands/complete.py | Kuro-Rui/JojoCogs | 57b86694e29462c5f5b561bc4a060ed04cfb8deb | [
"MIT"
] | null | null | null | todo/commands/complete.py | Kuro-Rui/JojoCogs | 57b86694e29462c5f5b561bc4a060ed04cfb8deb | [
"MIT"
] | null | null | null | # Copyright (c) 2021 - Jojo#7791
# Licensed under MIT
import asyncio
from contextlib import suppress
from typing import List
import discord
from redbot.core import commands
from redbot.core.utils.chat_formatting import pagify
from redbot.core.utils.predicates import MessagePredicate
from ..abc import TodoMixin
from ... | 41.507853 | 129 | 0.621342 |
10485a191600110454b70bb7ff198f1ba032639d | 544 | py | Python | network/demo_espat_ap_test.py | 708yamaguchi/MaixPy_scripts | 5f1774e739fb7eecab344d619c0cd63a71ff3d4f | [
"MIT"
] | 485 | 2019-03-18T10:53:59.000Z | 2022-03-27T09:02:08.000Z | network/demo_espat_ap_test.py | 708yamaguchi/MaixPy_scripts | 5f1774e739fb7eecab344d619c0cd63a71ff3d4f | [
"MIT"
] | 110 | 2019-04-04T09:07:39.000Z | 2022-03-03T08:08:19.000Z | network/demo_espat_ap_test.py | 708yamaguchi/MaixPy_scripts | 5f1774e739fb7eecab344d619c0cd63a71ff3d4f | [
"MIT"
] | 379 | 2019-03-18T04:48:46.000Z | 2022-03-30T00:29:29.000Z | # This file is part of MaixPY
# Copyright (c) sipeed.com
#
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license.php
#
from network_espat import wifi
wifi.reset()
print(wifi.at_cmd("AT\r\n"))
print(wifi.at_cmd("AT+GMR\r\n"))
'''
>>> reset...
b'\r\n\r\nOK\r\n'
b'AT version:1.1.0.0(May 1... | 24.727273 | 121 | 0.696691 |
10491ce24b3f4d1202dbbd3d0299d988fc347ec0 | 1,513 | py | Python | scripts/plot_pca.py | taoyilee/ml_final_project | 0ac5ee3938d70e9ffcae8e186e0ef1a621391980 | [
"Unlicense"
] | null | null | null | scripts/plot_pca.py | taoyilee/ml_final_project | 0ac5ee3938d70e9ffcae8e186e0ef1a621391980 | [
"Unlicense"
] | null | null | null | scripts/plot_pca.py | taoyilee/ml_final_project | 0ac5ee3938d70e9ffcae8e186e0ef1a621391980 | [
"Unlicense"
] | null | null | null | from preprocessing.dataset import SVHNDataset
import numpy as np
import configparser as cp
from datetime import datetime as dt
import os
from sklearn.decomposition import PCA
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
if __name__ == "__main__":
config = cp.ConfigParser()
config.r... | 36.902439 | 119 | 0.634501 |
104941aa6110b4212489737e4b75dd284643d08f | 4,117 | py | Python | DoodleParser.py | luigiberducci/turni-biblioteca | ae1c65dd768734de4795d38859f23eb655434ad7 | [
"MIT"
] | null | null | null | DoodleParser.py | luigiberducci/turni-biblioteca | ae1c65dd768734de4795d38859f23eb655434ad7 | [
"MIT"
] | null | null | null | DoodleParser.py | luigiberducci/turni-biblioteca | ae1c65dd768734de4795d38859f23eb655434ad7 | [
"MIT"
] | null | null | null | # File: DoodleParser.py
#
# Author: Luigi Berducci
# Date: 2018-11-30
import sys
import datetime
import requests
import json
def format_date(d):
""" Format a datetime `date` """
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "July",... | 32.936 | 98 | 0.549915 |
104a38928902816c83edccd5d37dfdec68ddd38c | 381 | py | Python | bot-stopots/configuracao.py | leosantosx/bot-stopots | b3de1610247ed6e64aba4313f087e7f373365502 | [
"MIT"
] | 2 | 2020-10-08T23:44:47.000Z | 2022-03-30T17:17:44.000Z | bot-stopots/configuracao.py | leosantosx/bot-stopots | b3de1610247ed6e64aba4313f087e7f373365502 | [
"MIT"
] | null | null | null | bot-stopots/configuracao.py | leosantosx/bot-stopots | b3de1610247ed6e64aba4313f087e7f373365502 | [
"MIT"
] | 2 | 2020-10-01T08:10:08.000Z | 2022-02-23T20:27:09.000Z | """
VARIVEIS DE CONFIGURAO DO BOT
True PARA ATIVAR E False PARA DESATIVAR
"""
escrever_nos_campos = True # PREENCHE OS CAMPOS COM AS RESPOSTAS
modo_de_aprendizado = False # APRENDE NOVAS RESPOSTAS SALVANDO AS RESPOSTAS DOS OUTROS JOGADORES
clica_botao_avaliar_respostas = True # CLICA NO BOTO "AVALIAR"
clica_bo... | 22.411765 | 96 | 0.784777 |
104bea37e718643afefd50f43683a9a85ce8b8b1 | 1,164 | py | Python | InterpolLagrange.py | davidfotsa/Numerical_Methods_With_Python | 78ed749f9c1f0005efa1b5ae1f529356a4057462 | [
"MIT"
] | 1 | 2021-09-18T18:32:40.000Z | 2021-09-18T18:32:40.000Z | InterpolLagrange.py | davidfotsa/Numerical_Methods_With_Python | 78ed749f9c1f0005efa1b5ae1f529356a4057462 | [
"MIT"
] | null | null | null | InterpolLagrange.py | davidfotsa/Numerical_Methods_With_Python | 78ed749f9c1f0005efa1b5ae1f529356a4057462 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
X=[-2,0,1,2]
Y=[49,5,7,49]
#x=float(input(" Vous voulez estimer f(x) pour x= "))
#print(P(x,X,Y))
from numpy.polynomial import Polynomial as poly
x=poly([0,1]) # Polynme p(x)=0+x
p=P(x,X,Y)
print(p)
x=poly1d([1,0]) # Polynme p(x)=0+x
p=P(x,X,Y)
print(p)
print(p.order)
pri... | 21.163636 | 58 | 0.495704 |
104c94905568b06f91f4a7f0d3ab448f5f6b6e7d | 990 | py | Python | stockroom_bot/stock_products.py | amjadmajid/rosbook | 20d4ab94d910adc62c4aecb471ceac13b5cef5ad | [
"Apache-2.0"
] | 442 | 2015-12-11T02:59:16.000Z | 2022-03-31T22:10:25.000Z | stockroom_bot/stock_products.py | amjadmajid/rosbook | 20d4ab94d910adc62c4aecb471ceac13b5cef5ad | [
"Apache-2.0"
] | 41 | 2016-01-07T19:15:29.000Z | 2021-12-03T01:52:58.000Z | stockroom_bot/stock_products.py | amjadmajid/rosbook | 20d4ab94d910adc62c4aecb471ceac13b5cef5ad | [
"Apache-2.0"
] | 249 | 2015-11-27T10:22:33.000Z | 2022-03-28T09:52:05.000Z | #!/usr/bin/env python
import rospy, tf
from gazebo_msgs.srv import *
from geometry_msgs.msg import *
if __name__ == '__main__':
rospy.init_node("stock_products")
rospy.wait_for_service("gazebo/delete_model") # <1>
rospy.wait_for_service("gazebo/spawn_sdf_model")
delete_model = rospy.ServiceProxy("gazebo/delete... | 41.25 | 73 | 0.692929 |
104fe8a69a8815914b9402756fc0c531d5a4a9ad | 846 | py | Python | code/GC_mass_evolv.py | EnthalpyBill/GC-formation | 143a8cb464bd621e77092a010c9011ef056da400 | [
"MIT"
] | null | null | null | code/GC_mass_evolv.py | EnthalpyBill/GC-formation | 143a8cb464bd621e77092a010c9011ef056da400 | [
"MIT"
] | null | null | null | code/GC_mass_evolv.py | EnthalpyBill/GC-formation | 143a8cb464bd621e77092a010c9011ef056da400 | [
"MIT"
] | null | null | null | '''
Mass evolution of GC
Created Apr. 2020
Last Edit Apr. 2020
By Bill Chen
'''
import numpy as np
# Note: all times in [Gyr]
# ***** Dynamic evolution of GC in Choksi & Gnedin (2018) *****
# ***** Stellar evolution of GC in Prieto & Gnedin (2008) *****
# ***** Mass evolution of GC in Choksi & Gnedin (2018) **... | 22.263158 | 68 | 0.625296 |
104fe95906a89882b90ee817c831630744acea53 | 355 | py | Python | tests/test_deploy.py | NCAR/marbl-solutions | 0840e2a594d49218b1510cd8cb95d9d058495a8a | [
"MIT"
] | null | null | null | tests/test_deploy.py | NCAR/marbl-solutions | 0840e2a594d49218b1510cd8cb95d9d058495a8a | [
"MIT"
] | 1 | 2022-02-11T22:53:37.000Z | 2022-02-11T22:53:37.000Z | tests/test_deploy.py | NCAR/marbl-solutions | 0840e2a594d49218b1510cd8cb95d9d058495a8a | [
"MIT"
] | null | null | null | import solutions
| 35.5 | 71 | 0.766197 |
10521ee81224fcf01be655be4e17446c05559c19 | 148 | py | Python | backend/home/models.py | crowdbotics-apps/test-29106 | 34df3fa66e798f61d9189fa248f21cabb9bca0e1 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/models.py | crowdbotics-apps/test-29106 | 34df3fa66e798f61d9189fa248f21cabb9bca0e1 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/models.py | crowdbotics-apps/test-29106 | 34df3fa66e798f61d9189fa248f21cabb9bca0e1 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.conf import settings
from django.db import models
| 18.5 | 34 | 0.75 |
10527d2aa82328718d79fcf72f8bc5b68e57039d | 405 | py | Python | tests/urls.py | xiu1/django-rest | 3ba381a8f8be8a27af464839dcdd5677857043ba | [
"MIT"
] | null | null | null | tests/urls.py | xiu1/django-rest | 3ba381a8f8be8a27af464839dcdd5677857043ba | [
"MIT"
] | null | null | null | tests/urls.py | xiu1/django-rest | 3ba381a8f8be8a27af464839dcdd5677857043ba | [
"MIT"
] | null | null | null | from django.conf.urls import include, url
from django.contrib import admin
from rest.views import TestRestView, TestAuthHeaderView, TestAuthUrlView
urlpatterns = [
url('^rest/$', TestRestView.as_view(), name='rest'),
url('^auth_header_rest/$', TestAuthHeaderView.as_view(), name='rest_auth_header'),
url('^a... | 40.5 | 93 | 0.735802 |
1052c3a88b2dcf7166396c893200f90ad073a780 | 16,625 | py | Python | services/controllers/thruster_controller.py | gizmo-cda/g2x-submarine-v2 | 2f4be8ad7234ab59fc6e98b8353a40195dd08ffb | [
"BSD-3-Clause"
] | 1 | 2017-05-05T04:32:11.000Z | 2017-05-05T04:32:11.000Z | services/controllers/thruster_controller.py | gizmo-cda/g2x-submarine-v2 | 2f4be8ad7234ab59fc6e98b8353a40195dd08ffb | [
"BSD-3-Clause"
] | 26 | 2017-05-08T02:06:47.000Z | 2017-06-02T02:50:18.000Z | services/controllers/thruster_controller.py | gizmo-cda/g2x-submarine-v2 | 2f4be8ad7234ab59fc6e98b8353a40195dd08ffb | [
"BSD-3-Clause"
] | 1 | 2018-06-25T19:00:20.000Z | 2018-06-25T19:00:20.000Z | import os
import json
from vector2d import Vector2D
from interpolator import Interpolator
from utils import map_range
# Each game controller axis returns a value in the closed interval [-1, 1]. We
# limit the number of decimal places we use with the PRECISION constant. This is
# done for a few reasons: 1) it makes th... | 45.925414 | 92 | 0.639759 |
1052f3c21d56f16c74fe435dcc9d878c1ebb23e3 | 2,387 | py | Python | montagem/models.py | Glaysonvisgueira/agendamento-de-servico | a7715f45914f361830303241916c0b85cd3bdfdf | [
"MIT"
] | null | null | null | montagem/models.py | Glaysonvisgueira/agendamento-de-servico | a7715f45914f361830303241916c0b85cd3bdfdf | [
"MIT"
] | null | null | null | montagem/models.py | Glaysonvisgueira/agendamento-de-servico | a7715f45914f361830303241916c0b85cd3bdfdf | [
"MIT"
] | null | null | null | from django.db import models
LOJAS = (
('TES', 'TES'),
('TEU', 'TEU'),
('TMA', 'TMA'),
('TPI', 'TPI'),
('TMO', 'TMO'),
('TEZ', 'TEZ'),
('TED', 'TED'),
('TPP', 'TPP'),
('TIM', 'TIM'),
('TEC', 'TEC'),
('RTT', 'RTT'),
... | 27.755814 | 138 | 0.56682 |
1053671d2efb3bcbff0f12731c2f9a421bb4da2e | 7,377 | py | Python | em/src/dataset/metrics.py | tecdatalab/biostructure | a30e907e83fa5bbfb934d951b7c663b622104fcc | [
"Apache-2.0"
] | null | null | null | em/src/dataset/metrics.py | tecdatalab/biostructure | a30e907e83fa5bbfb934d951b7c663b622104fcc | [
"Apache-2.0"
] | 15 | 2019-06-17T16:13:39.000Z | 2022-02-27T05:23:59.000Z | em/src/dataset/metrics.py | tecdatalab/biostructure | a30e907e83fa5bbfb934d951b7c663b622104fcc | [
"Apache-2.0"
] | null | null | null | import numpy as np
from scipy.optimize import linear_sum_assignment
| 37.830769 | 128 | 0.623153 |
10549d50d1cb53a2fb1a2551fb8532427ebf65e9 | 1,554 | py | Python | asq/test/test_pre_scan.py | SlamJam/asq | e6e49a5ace421cb4f84f0bded5dbe5a2108b0cce | [
"MIT"
] | 3 | 2015-03-13T23:02:29.000Z | 2015-07-19T15:29:23.000Z | asq/test/test_pre_scan.py | SlamJam/asq | e6e49a5ace421cb4f84f0bded5dbe5a2108b0cce | [
"MIT"
] | null | null | null | asq/test/test_pre_scan.py | SlamJam/asq | e6e49a5ace421cb4f84f0bded5dbe5a2108b0cce | [
"MIT"
] | 1 | 2020-12-19T07:57:20.000Z | 2020-12-19T07:57:20.000Z | import operator
import unittest
from asq.queryables import Queryable
__author__ = "Robert Smallshire"
| 29.884615 | 92 | 0.557915 |
105586dba443dd6bd6a2f0bfc1884ab1e9b6d1f5 | 504 | py | Python | magicmethod__str__.py | maahi07m/OOPS | 1faa5168dc66c3597adfc0703af5e4c84c52117a | [
"MIT"
] | 1 | 2022-02-28T17:00:03.000Z | 2022-02-28T17:00:03.000Z | magicmethod__str__.py | maahi07m/OOPS | 1faa5168dc66c3597adfc0703af5e4c84c52117a | [
"MIT"
] | null | null | null | magicmethod__str__.py | maahi07m/OOPS | 1faa5168dc66c3597adfc0703af5e4c84c52117a | [
"MIT"
] | 4 | 2020-04-22T10:26:35.000Z | 2020-05-15T16:27:36.000Z |
if __name__ == "__main__":
import json
input_args = list(json.loads(input()))
complex_number = ComplexNumber(*input_args)
complex_number_str_value = str(complex_number)
print(complex_number_str_value)
'''
[1,2]
1+2i
'''
| 22.909091 | 58 | 0.642857 |
10568ffdcff6c9ac4346c98dc2826ddaf3950010 | 1,853 | py | Python | src/form/panel/ParamAdvancePanel.py | miu200521358/pmx_tailor | 7f40ffd596f548d4c04f14b22d8796861056fdb5 | [
"MIT"
] | 4 | 2021-11-10T03:04:07.000Z | 2022-01-11T09:02:02.000Z | src/form/panel/ParamAdvancePanel.py | miu200521358/pmx_tailor | 7f40ffd596f548d4c04f14b22d8796861056fdb5 | [
"MIT"
] | 1 | 2022-01-05T01:23:18.000Z | 2022-01-08T16:23:42.000Z | src/form/panel/ParamAdvancePanel.py | miu200521358/pmx_tailor | 7f40ffd596f548d4c04f14b22d8796861056fdb5 | [
"MIT"
] | 3 | 2021-11-05T16:55:35.000Z | 2021-12-04T16:28:21.000Z | # -*- coding: utf-8 -*-
#
import wx
from form.panel.BasePanel import BasePanel
from utils.MLogger import MLogger # noqa
logger = MLogger(__name__)
| 38.604167 | 161 | 0.680518 |
1057b731456147b4b92c8df8a2606e402b2c86e3 | 10,830 | py | Python | hexrd/ui/calibration/powder_calibration.py | bnmajor/hexrdgui | d19f7cf4a4469b0d3b6978f2f65c5e8a6bd81785 | [
"BSD-3-Clause"
] | null | null | null | hexrd/ui/calibration/powder_calibration.py | bnmajor/hexrdgui | d19f7cf4a4469b0d3b6978f2f65c5e8a6bd81785 | [
"BSD-3-Clause"
] | 1 | 2020-10-29T14:34:42.000Z | 2020-10-29T15:30:20.000Z | hexrd/ui/calibration/powder_calibration.py | cjh1/hexrdgui | eb8968ba763cebbffce61164f1bda1e2cc622461 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from scipy.optimize import leastsq, least_squares
from hexrd import instrument
from hexrd.matrixutil import findDuplicateVectors
from hexrd.fitting import fitpeak
from hexrd.ui.hexrd_config import HexrdConfig
from hexrd.ui.utils import convert_tilt_convention
# %%
def _extract_powder_lines... | 33.119266 | 79 | 0.570175 |
1059338d2378b261aba08fb200894418dd9de4d1 | 503 | py | Python | covid-tweets/process-tweets-2.py | kadams4/NLPCoronavirus | 15936240adb6cd9d7a616c381980d17c03cdc8fd | [
"MIT"
] | 1 | 2020-05-02T23:26:56.000Z | 2020-05-02T23:26:56.000Z | covid-tweets/process-tweets-2.py | kadams4/NLPCoronavirus | 15936240adb6cd9d7a616c381980d17c03cdc8fd | [
"MIT"
] | null | null | null | covid-tweets/process-tweets-2.py | kadams4/NLPCoronavirus | 15936240adb6cd9d7a616c381980d17c03cdc8fd | [
"MIT"
] | null | null | null | import pandas as pd
root = "Split/"
types = ["train-70", "test-30"]
for type in types:
filenames = ["2020-03-"+str(i)+"-Labels-"+type for i in range(12, 29)]
for suffix in ["pos", "neg", "neu"]:
data = []
for filename in filenames:
path = root + filename
data += li... | 22.863636 | 82 | 0.528827 |
105a1021873de5967ff4229ce3f7cb97d8adb0d8 | 1,638 | py | Python | sample/crawler/login.py | xuegangliu/Python-Learning | 43e8c57debf6ec186d093dcc0e83c1a628982715 | [
"MIT"
] | null | null | null | sample/crawler/login.py | xuegangliu/Python-Learning | 43e8c57debf6ec186d093dcc0e83c1a628982715 | [
"MIT"
] | null | null | null | sample/crawler/login.py | xuegangliu/Python-Learning | 43e8c57debf6ec186d093dcc0e83c1a628982715 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@Project: python
@Date: 8/30/2018 9:53 PM
@Author: xuegangliu
@Description: login
"""
import urllib.request
import http.cookiejar
import urllib.parse
def getOpener(header):
''''''
# cookiecookiecookie
cookieJar = http.cookiejar.CookieJar()
... | 27.762712 | 133 | 0.627595 |
105a2a73f5eecce7fac87dc8417f55ba6d3a6da8 | 1,277 | py | Python | djangocms_comments/widgets.py | Nekmo/djangocms-comments-module | 591138db28d5341fd7809fc75f3fa4d91b5d3ef8 | [
"MIT"
] | 11 | 2016-04-13T14:04:42.000Z | 2020-06-21T10:48:37.000Z | djangocms_comments/widgets.py | Nekmo/djangocms-comments-module | 591138db28d5341fd7809fc75f3fa4d91b5d3ef8 | [
"MIT"
] | 14 | 2016-04-14T10:09:20.000Z | 2021-05-22T08:20:10.000Z | djangocms_comments/widgets.py | Nekmo/djangocms-comments-module | 591138db28d5341fd7809fc75f3fa4d91b5d3ef8 | [
"MIT"
] | 11 | 2016-04-14T09:48:48.000Z | 2021-04-11T03:43:08.000Z | from django.core.exceptions import SuspiciousOperation
from django.core.signing import Signer, BadSignature
from django.forms import HiddenInput
signer = Signer()
| 34.513514 | 85 | 0.657009 |
105bb82bfc7b6f71c79e0e15226b493dbe1a9ea9 | 3,684 | py | Python | openspeech/search/beam_search_ctc.py | techthiyanes/openspeech | 71d28bae1232420da1d6f357f52ff1a607dc983f | [
"Apache-2.0",
"MIT"
] | 207 | 2021-07-22T02:04:47.000Z | 2022-03-31T07:24:12.000Z | openspeech/search/beam_search_ctc.py | tqslj2/openspeech | 10307587f08615224df5a868fb5249c68c70b12d | [
"Apache-2.0",
"MIT"
] | 81 | 2021-07-21T16:52:22.000Z | 2022-03-31T14:56:54.000Z | openspeech/search/beam_search_ctc.py | tqslj2/openspeech | 10307587f08615224df5a868fb5249c68c70b12d | [
"Apache-2.0",
"MIT"
] | 43 | 2021-07-21T16:33:27.000Z | 2022-03-23T09:43:49.000Z | # MIT License
#
# Copyright (c) 2021 Soohwan Kim and Sangchun Ha and Soyoung Cho
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights... | 43.341176 | 119 | 0.678882 |
105c2eb00700830d7030c477994f8f358f536d08 | 1,231 | py | Python | Software/Services/__init__.py | Hackin7/BlockComPi | 36938e219b42c5d220db0a64e4718e95720c4850 | [
"X11"
] | null | null | null | Software/Services/__init__.py | Hackin7/BlockComPi | 36938e219b42c5d220db0a64e4718e95720c4850 | [
"X11"
] | null | null | null | Software/Services/__init__.py | Hackin7/BlockComPi | 36938e219b42c5d220db0a64e4718e95720c4850 | [
"X11"
] | null | null | null | #Do Not Edit
#colors R G B
white = (255, 255, 255)
red = (255, 0, 0)
green = ( 0, 255, 0)
blue = ( 0, 0, 255)
black = ( 0, 0, 0)
cyan = ( 50, 255, 255)
magenta = (255, 0, 255)
yellow = (255, 255, 0)
orange = (255, 127, 0)
#The Service/Notifications List
# L... | 24.62 | 122 | 0.57108 |
105d5ca23ac6dfb590f2af5c0e2d2ba6bb4c09a3 | 324 | py | Python | src/ml_fastapi/routers.py | sebastianschramm/ml_fastapi | 719f332b573f1ae021f4753b25a940da040c9ea3 | [
"MIT"
] | 2 | 2020-05-08T11:15:43.000Z | 2020-05-08T11:29:52.000Z | src/ml_fastapi/routers.py | sebastianschramm/ml_fastapi | 719f332b573f1ae021f4753b25a940da040c9ea3 | [
"MIT"
] | null | null | null | src/ml_fastapi/routers.py | sebastianschramm/ml_fastapi | 719f332b573f1ae021f4753b25a940da040c9ea3 | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from starlette.requests import Request
router = APIRouter()
| 20.25 | 43 | 0.740741 |
105dc9a0c2abe995709581929119eb84a98260a9 | 1,902 | py | Python | spinoffs/inference_gym/inference_gym/targets/eight_schools_test.py | PavanKishore21/probability | 4bad1b796b0e6ed2959205915d42788817620c4c | [
"Apache-2.0"
] | 3,670 | 2018-02-14T03:29:40.000Z | 2022-03-30T01:19:52.000Z | spinoffs/inference_gym/inference_gym/targets/eight_schools_test.py | PavanKishore21/probability | 4bad1b796b0e6ed2959205915d42788817620c4c | [
"Apache-2.0"
] | 1,395 | 2018-02-24T02:28:49.000Z | 2022-03-31T16:12:06.000Z | spinoffs/inference_gym/inference_gym/targets/eight_schools_test.py | PavanKishore21/probability | 4bad1b796b0e6ed2959205915d42788817620c4c | [
"Apache-2.0"
] | 1,135 | 2018-02-14T01:51:10.000Z | 2022-03-28T02:24:11.000Z | # Copyright 2020 The TensorFlow Probability 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 applicable law o... | 34.581818 | 78 | 0.699264 |
105f337c3b2cee574054705ec45a67cc94c84757 | 788 | py | Python | ch01/dictionaries.py | PacktPublishing/Python-Networking-Cookbook | 26945c781a51fe72cc01409df6b5c5fa7df53f4c | [
"MIT"
] | 5 | 2021-06-11T11:24:04.000Z | 2022-03-22T03:22:57.000Z | ch01/dictionaries.py | PacktPublishing/Python-Networking-Cookbook | 26945c781a51fe72cc01409df6b5c5fa7df53f4c | [
"MIT"
] | null | null | null | ch01/dictionaries.py | PacktPublishing/Python-Networking-Cookbook | 26945c781a51fe72cc01409df6b5c5fa7df53f4c | [
"MIT"
] | 10 | 2021-04-18T12:31:14.000Z | 2022-03-28T07:21:16.000Z | config = {}
with open("config.txt", "r") as f:
lines = f.readlines()
for line in lines:
key, value = line.split("=")
value = value.replace("\n", "")
config[key] = value
print(f"Added key {key} with value {value}")
user_key = input("Which key would you like to see? ")
if user_ke... | 30.307692 | 55 | 0.555838 |
105f6e89e6b0c9427d9b4f9d438c31c6041b503d | 414 | py | Python | letra_m/extensions.py | frotacaio/tutorial_flask | 6b454bddfc32e384b765d831025fc54a22fc79c7 | [
"MIT"
] | null | null | null | letra_m/extensions.py | frotacaio/tutorial_flask | 6b454bddfc32e384b765d831025fc54a22fc79c7 | [
"MIT"
] | null | null | null | letra_m/extensions.py | frotacaio/tutorial_flask | 6b454bddfc32e384b765d831025fc54a22fc79c7 | [
"MIT"
] | null | null | null | """
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