hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
65d1935d60c24b3adbd4cfdad6ba81b04f4d1399 | 9,501 | py | Python | pyspi/SPILike.py | grburgess/pyspi | 084884c3fd06a09ef3a850cd19e7b751d7929e59 | [
"BSD-3-Clause"
] | null | null | null | pyspi/SPILike.py | grburgess/pyspi | 084884c3fd06a09ef3a850cd19e7b751d7929e59 | [
"BSD-3-Clause"
] | null | null | null | pyspi/SPILike.py | grburgess/pyspi | 084884c3fd06a09ef3a850cd19e7b751d7929e59 | [
"BSD-3-Clause"
] | 3 | 2018-06-05T12:57:29.000Z | 2019-01-09T17:12:31.000Z | import collections
from typing import Optional
import numpy as np
from astromodels import Parameter, Model
from astromodels.functions.priors import Cosine_Prior, Uniform_prior
from threeML import PluginPrototype
from threeML.io.file_utils import sanitize_filename
from threeML.plugins.DispersionSpectrumLike import Dis... | 30.549839 | 83 | 0.592674 | 8,978 | 0.944953 | 0 | 0 | 1,238 | 0.130302 | 0 | 0 | 2,828 | 0.297653 |
65d2ce3a02d1d452763725cfe14c593fd3bb7cbb | 1,881 | py | Python | dianna/visualization/image.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | dianna/visualization/image.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | dianna/visualization/image.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
def _determine_vmax(max_data_value):
vmax = 1
if max_data_value > 255:
vmax = None
elif max_data_value > 1:
vmax = 255
return vmax
def plot_image(heatmap, original_data=None, heatmap_cmap=None, data_cmap=None, show_plot=True, output_filename=None): # ... | 34.833333 | 155 | 0.642212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,100 | 0.584795 |
65d4480d133aa88d0ea4335e0f5e5f6c3cb17894 | 4,680 | py | Python | models/lenet.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | models/lenet.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | models/lenet.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | import torch
import common.torch
from .classifier import Classifier
from .utils import get_normalization2d, get_activation
class LeNet(Classifier):
"""
LeNet classifier.
"""
def __init__(self, N_class, resolution=(1, 32, 32), channels=64, activation='relu', normalization='bn', linear=1024, dropout=Fa... | 37.142857 | 146 | 0.59594 | 4,555 | 0.973291 | 0 | 0 | 0 | 0 | 0 | 0 | 1,111 | 0.237393 |
65d4761a181f8a12d33c2a0e4fbbb20be034782f | 309 | py | Python | project/server/main/modules/__init__.py | ardikabs/dnsmanager | 4d2f302ea9f54fd4d5416328dc46a1c47b573e5b | [
"MIT"
] | 1 | 2019-01-15T10:33:04.000Z | 2019-01-15T10:33:04.000Z | project/server/main/modules/__init__.py | ardikabs/dnsmanager | 4d2f302ea9f54fd4d5416328dc46a1c47b573e5b | [
"MIT"
] | null | null | null | project/server/main/modules/__init__.py | ardikabs/dnsmanager | 4d2f302ea9f54fd4d5416328dc46a1c47b573e5b | [
"MIT"
] | null | null | null | """ All Available Module on Server Belong to Here """
AVAILABLE_MODULES = (
"api",
)
def init_app(app, **kwargs):
from importlib import import_module
for module in AVAILABLE_MODULES:
import_module(
f".{module}",
package=__name__
).init_app(app, **kwargs) | 23.769231 | 53 | 0.614887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.226537 |
65d585b3c927a0a65da4783e776cd19589017f27 | 2,154 | py | Python | slixmpp/plugins/xep_0380/eme.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | slixmpp/plugins/xep_0380/eme.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | slixmpp/plugins/xep_0380/eme.py | cnngimenez/slixmpp | bb61f0f39dfba205282dab50c0f3a47b26145c74 | [
"BSD-3-Clause"
] | null | null | null | """
Slixmpp: The Slick XMPP Library
Copyright (C) 2016 Emmanuel Gil Peyrot <linkmauve@linkmauve.fr>
This file is part of Slixmpp.
See the file LICENSE for copying permission.
"""
import logging
import slixmpp
from slixmpp.stanza import Message
from slixmpp.xmlstream.handler import Callback
from slixm... | 29.916667 | 90 | 0.659703 | 1,591 | 0.738626 | 0 | 0 | 0 | 0 | 0 | 0 | 684 | 0.317549 |
65d5f60d4b7acc40612bcf45d7c9efe894269057 | 1,050 | py | Python | JSS Users Cleanup/setup.py | killahquam/JAMF | 77b003a72375b9b01bdb961cb466b7519c859116 | [
"MIT"
] | 34 | 2015-06-11T16:37:54.000Z | 2021-06-02T20:42:55.000Z | JSS Users Cleanup/setup.py | killahquam/JAMF | 77b003a72375b9b01bdb961cb466b7519c859116 | [
"MIT"
] | 1 | 2016-01-03T04:05:30.000Z | 2016-09-26T20:25:51.000Z | JSS Users Cleanup/setup.py | killahquam/JAMF | 77b003a72375b9b01bdb961cb466b7519c859116 | [
"MIT"
] | 6 | 2015-12-29T20:39:56.000Z | 2020-06-30T19:33:23.000Z | #!/usr/bin/python
#Quam Sodji 2015
#Setup script to install the needed python modules
#Installs kn/Slack and python-jss modules
#We assume you have Git installed.......
import subprocess
import os
import sys
import shutil
clone_jss = subprocess.check_output(['git','clone','git://github.com/sheagcraig/python-jss.git'])... | 33.870968 | 97 | 0.75619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 524 | 0.499048 |
65da9cfd0758b74606005cccaa574f86bf734619 | 969 | py | Python | sharpy/linear/utils/sselements.py | ACea15/sharpy | c89ecb74be3cb9e37b23ac8a282c73b9b55dd792 | [
"BSD-3-Clause"
] | 80 | 2018-08-30T13:01:52.000Z | 2022-03-24T15:02:48.000Z | sharpy/linear/utils/sselements.py | ACea15/sharpy | c89ecb74be3cb9e37b23ac8a282c73b9b55dd792 | [
"BSD-3-Clause"
] | 88 | 2018-05-17T16:18:58.000Z | 2022-03-11T21:05:48.000Z | sharpy/linear/utils/sselements.py | ACea15/sharpy | c89ecb74be3cb9e37b23ac8a282c73b9b55dd792 | [
"BSD-3-Clause"
] | 44 | 2018-01-02T14:27:28.000Z | 2022-03-12T13:49:36.000Z | """
Linear State Space Element Class
"""
class Element(object):
"""
State space member
"""
def __init__(self):
self.sys_id = str() # A string with the name of the element
self.sys = None # The actual object
self.ss = None # The state space object
self.settings = ... | 28.5 | 119 | 0.643963 | 926 | 0.955624 | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 0.603715 |
65db9046fcabc0fdacbff5217e489cc008a5a30b | 4,819 | py | Python | pt_mesh_renderer/RasterizeTriangles.py | FuxiCV/pt_mesh_renderer | 15153fbbe73d7c4c59d8f0b2bce7320173b3d396 | [
"Apache-2.0"
] | 61 | 2020-08-06T06:39:15.000Z | 2022-03-25T03:48:02.000Z | pt_mesh_renderer/RasterizeTriangles.py | shty32/pt_mesh_renderer | 15153fbbe73d7c4c59d8f0b2bce7320173b3d396 | [
"Apache-2.0"
] | 6 | 2020-09-08T10:30:56.000Z | 2021-07-10T14:24:23.000Z | pt_mesh_renderer/RasterizeTriangles.py | shty32/pt_mesh_renderer | 15153fbbe73d7c4c59d8f0b2bce7320173b3d396 | [
"Apache-2.0"
] | 9 | 2020-08-25T08:46:08.000Z | 2021-07-25T04:43:41.000Z | # Copyright 2017 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 50.197917 | 110 | 0.708861 | 3,728 | 0.773604 | 0 | 0 | 3,682 | 0.764059 | 0 | 0 | 3,033 | 0.629384 |
65db99db18c44b4e940ff60964e5dae8b718ca83 | 3,988 | py | Python | datamining_assignments/datamining_assiment_3/nmf.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | 1 | 2015-10-15T12:26:07.000Z | 2015-10-15T12:26:07.000Z | datamining_assignments/datamining_assiment_3/nmf.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | null | null | null | datamining_assignments/datamining_assiment_3/nmf.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on Oct 27, 2015
@author: nlp
'''
import numpy as np
import math
# nmf 聚类主体
def nmf(file_list, k):
X = np.array(file_list).transpose()
m_x, n_x = X.shape
# 随机生成初始矩阵
U = np.random.rand(m_x, k)
V = np.random.rand(n_x, k)
is_convergence = False
count =... | 31.15625 | 89 | 0.570963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 572 | 0.138902 |
65dca40840f63106b93a09800755e3aaddd6d379 | 3,834 | py | Python | heat2d.py | atk91/heat-batman | ce76fa25ba56e65b842575a99a029379be54e687 | [
"BSD-2-Clause"
] | null | null | null | heat2d.py | atk91/heat-batman | ce76fa25ba56e65b842575a99a029379be54e687 | [
"BSD-2-Clause"
] | null | null | null | heat2d.py | atk91/heat-batman | ce76fa25ba56e65b842575a99a029379be54e687 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import numpy as np
import scipy.linalg as la
import matplotlib.pyplot as plt
from scipy.sparse.linalg import cgs
from scipy.sparse import csr_matrix
fig = plt.figure()
t_min = 0.0
t_max = 10.0
x_min = -10.0
x_max = 10.0
y_min = -10.0
y_max = 10.0
a = 1.0
c = 5.0
m = 400
n = 100
def ind(i, j):... | 28.61194 | 114 | 0.490871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.049035 |
65dceda09e2e4a4ab6cb1d2b5780ccbfb1f4f6c7 | 2,667 | py | Python | DQN DDQN Dueling/network.py | eayvali/DeepRL | 4722af0f75487dd3167faafd4eabe8f01aea4305 | [
"MIT"
] | 2 | 2020-01-29T20:49:29.000Z | 2020-03-27T21:45:12.000Z | DQN DDQN Dueling/network.py | eayvali/DeepRL | 4722af0f75487dd3167faafd4eabe8f01aea4305 | [
"MIT"
] | null | null | null | DQN DDQN Dueling/network.py | eayvali/DeepRL | 4722af0f75487dd3167faafd4eabe8f01aea4305 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 19 23:19:43 2020
@author: elif.ayvali
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
class deep_Q_net(nn.Module):
"""Actor (Policy) Model."""
def __init__(self, state_size, action_size, seed):
... | 31.011628 | 81 | 0.544432 | 2,466 | 0.924634 | 0 | 0 | 0 | 0 | 0 | 0 | 921 | 0.345332 |
65dd2821be3445190af71c053c0a5fe0757716d8 | 3,352 | py | Python | bin/meyer.py | leipzig/meripseqpipe | b16139dfa0805827fec54a33c2a3583d99780591 | [
"MIT"
] | 13 | 2020-06-09T05:45:11.000Z | 2022-02-17T09:44:34.000Z | bin/meyer.py | leipzig/meripseqpipe | b16139dfa0805827fec54a33c2a3583d99780591 | [
"MIT"
] | 2 | 2021-04-02T21:22:19.000Z | 2021-09-28T15:48:50.000Z | bin/meyer.py | leipzig/meripseqpipe | b16139dfa0805827fec54a33c2a3583d99780591 | [
"MIT"
] | 12 | 2020-06-09T05:55:51.000Z | 2022-02-09T03:07:20.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 23 18:53:30 2019
@author: zky
"""
from sys import argv
from math import log
from scipy import stats
input_bin25_file = argv[1]
ip_bin25_file = argv[2]
input_total_reads_count = int(argv[3])
ip_total_reads_count = int(argv[4])
peak_windows_number = int(argv[5])
output_ip_f... | 41.9 | 149 | 0.672136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.138425 |
65ddc57bb1b73bd27f58c41a027c88ec873b6740 | 2,541 | py | Python | setup.py | jimbydamonk/jenkins-job-builder-addons | 172672e25089992ed94dc223c7e30f29c46719b0 | [
"Apache-2.0"
] | 8 | 2015-08-21T15:53:22.000Z | 2019-04-09T20:42:58.000Z | setup.py | jimbydamonk/jenkins-job-builder-addons | 172672e25089992ed94dc223c7e30f29c46719b0 | [
"Apache-2.0"
] | 5 | 2016-03-23T17:46:16.000Z | 2018-03-05T13:56:17.000Z | setup.py | jimbydamonk/jenkins-job-builder-addons | 172672e25089992ed94dc223c7e30f29c46719b0 | [
"Apache-2.0"
] | 11 | 2015-10-05T21:58:33.000Z | 2019-04-14T04:50:48.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools.command.test import test as TestCommand
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
h... | 28.550562 | 75 | 0.637151 | 583 | 0.229437 | 0 | 0 | 0 | 0 | 0 | 0 | 1,077 | 0.423849 |
65de85c428d2e16780398c226cf7243329f834fa | 1,895 | py | Python | arrp/utils/sanitize.py | LucaCappelletti94/arrp_dataset | bcea455a504e8ff718458ce12623c63e0314badb | [
"MIT"
] | null | null | null | arrp/utils/sanitize.py | LucaCappelletti94/arrp_dataset | bcea455a504e8ff718458ce12623c63e0314badb | [
"MIT"
] | null | null | null | arrp/utils/sanitize.py | LucaCappelletti94/arrp_dataset | bcea455a504e8ff718458ce12623c63e0314badb | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from typing import Tuple, Dict
from .load_csv import load_raw_classes, load_raw_epigenomic_data, load_raw_nucleotides_sequences
from .store_csv import store_raw_classes, store_raw_epigenomic_data, store_raw_nucleotides_sequences
from auto_tqdm import tqdm
def drop_unknown_datapoi... | 67.678571 | 213 | 0.803694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0.046966 |
65ded556650f5e35ee3489143d332a0dbd1e324c | 7,857 | py | Python | plugin.video.plexodus/resources/lib/indexers/fanarttv.py | MR-Unknown-Cm/addons | 8df1ebe58c95620bb02a05dbae7bf37954915cbd | [
"Apache-2.0"
] | 1 | 2020-03-03T10:01:21.000Z | 2020-03-03T10:01:21.000Z | plugin.video.plexodus/resources/lib/indexers/fanarttv.py | MR-Unknown-Cm/addons | 8df1ebe58c95620bb02a05dbae7bf37954915cbd | [
"Apache-2.0"
] | null | null | null | plugin.video.plexodus/resources/lib/indexers/fanarttv.py | MR-Unknown-Cm/addons | 8df1ebe58c95620bb02a05dbae7bf37954915cbd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
plexOdus Add-on
'''
import json
from resources.lib.modules import client
from resources.lib.modules import control
user = control.setting('fanart.tv.user')
if user == '' or user is None:
user = 'cf0ebcc2f7b824bd04cf3a318f15c17d'
headers = {'api-key': '3eb5ed2c401a206391ea8d1a031... | 38.704433 | 187 | 0.54881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,343 | 0.17093 |
65df761ba100f14026cfc9d900fd8f340f52bd34 | 3,599 | py | Python | nuqql/conversation/helper.py | hwipl/nuqql | 410ea5bd42e455d656b1b34612c3b0d5a0b433ef | [
"MIT"
] | 3 | 2019-04-15T18:33:36.000Z | 2019-04-21T19:18:10.000Z | nuqql/conversation/helper.py | hwipl/nuqql | 410ea5bd42e455d656b1b34612c3b0d5a0b433ef | [
"MIT"
] | 15 | 2019-04-15T18:35:56.000Z | 2019-09-14T08:24:32.000Z | nuqql/conversation/helper.py | hwipl/nuqql | 410ea5bd42e455d656b1b34612c3b0d5a0b433ef | [
"MIT"
] | 1 | 2019-06-16T12:00:30.000Z | 2019-06-16T12:00:30.000Z | """
nuqql conversation helpers
"""
import datetime
import logging
from typing import TYPE_CHECKING
import nuqql.win
from .conversation import CONVERSATIONS
from .logmessage import LogMessage
if TYPE_CHECKING: # imports for typing
# pylint: disable=cyclic-import
from nuqql.backend import Backend # noqa
... | 29.260163 | 74 | 0.624618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 821 | 0.228119 |
65df788e5e4510c44fcdee2981d1538a1d6e2abd | 801 | py | Python | tests/gcs_test.py | rishi1111/vaex | b3516201d04e9277b8918dadab9df33a7c83c01a | [
"MIT"
] | 1 | 2020-08-31T17:53:01.000Z | 2020-08-31T17:53:01.000Z | tests/gcs_test.py | rishi1111/vaex | b3516201d04e9277b8918dadab9df33a7c83c01a | [
"MIT"
] | null | null | null | tests/gcs_test.py | rishi1111/vaex | b3516201d04e9277b8918dadab9df33a7c83c01a | [
"MIT"
] | null | null | null | import vaex
import pytest
@pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing')
def test_gcs():
df = vaex.open('gs://vaex-data/testing/xys.hdf5?cache=false&token=anon')
assert df.x.tolist() == [1, 2]
assert df.y.tolist() == [3, 4]
assert df.s.tolist() == ['5', '6']
df = ... | 33.375 | 83 | 0.627965 | 0 | 0 | 0 | 0 | 769 | 0.96005 | 0 | 0 | 251 | 0.313358 |
65dfc680b069d19bcf150f9f7a0bdfd6384fb313 | 388 | py | Python | arcutils/const.py | zhuitrec/django-arcutils | 4079ef641f43baab4cda4681b1f76e320f12eb38 | [
"MIT"
] | null | null | null | arcutils/const.py | zhuitrec/django-arcutils | 4079ef641f43baab4cda4681b1f76e320f12eb38 | [
"MIT"
] | null | null | null | arcutils/const.py | zhuitrec/django-arcutils | 4079ef641f43baab4cda4681b1f76e320f12eb38 | [
"MIT"
] | null | null | null | """Constants."""
# A ``None``-ish constant for use where ``None`` may be a valid value.
NOT_SET = type('NOT_SET', (), {
'__bool__': (lambda self: False),
'__str__': (lambda self: 'NOT_SET'),
'__repr__': (lambda self: 'NOT_SET'),
'__copy__': (lambda self: self),
})()
# An alias for NOT_SET that may be... | 25.866667 | 70 | 0.639175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 231 | 0.595361 |
65e0bbe0d695a274843f413dfb11aa1bde11659d | 340 | py | Python | students/K33422/Elizaveta_Makhotina/labs/lab1/3/server_html.py | agentofknowledge/ITMO_ICT_WebDevelopment_2020-2021 | 7d5eab0d68af378083f21473cbbd5e5def6aa60a | [
"MIT"
] | 4 | 2020-09-03T15:41:42.000Z | 2021-12-24T15:28:20.000Z | students/K33422/Elizaveta_Makhotina/labs/lab1/3/server_html.py | agentofknowledge/ITMO_ICT_WebDevelopment_2020-2021 | 7d5eab0d68af378083f21473cbbd5e5def6aa60a | [
"MIT"
] | 48 | 2020-09-13T20:22:42.000Z | 2021-04-30T11:13:30.000Z | students/K33422/Elizaveta_Makhotina/labs/lab1/3/server_html.py | agentofknowledge/ITMO_ICT_WebDevelopment_2020-2021 | 7d5eab0d68af378083f21473cbbd5e5def6aa60a | [
"MIT"
] | 69 | 2020-09-06T10:32:37.000Z | 2021-11-28T18:13:17.000Z | import socket
print("Waiting for connections...")
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.bind(('', 9090))
sock.listen()
n_sock, addr = sock.accept()
print("Client connected! Sending HTTP-message")
conn.send(
b"HTTP/1.0 200 OK\nContent-Type: text/html\n\n" + open("index.html", "rb").read... | 18.888889 | 85 | 0.694118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.391176 |
65e1870d1694528b9c38bfaea11b991273afa141 | 2,998 | py | Python | tests/test_private_storage.py | glasslion/django-qiniu-storage | b046ec0b67ebcf8cd9eb09c60f7db4a7e4fab7ad | [
"MIT"
] | 209 | 2015-01-04T09:24:42.000Z | 2022-03-20T12:29:05.000Z | tests/test_private_storage.py | manlan2/django-qiniu-storage | b046ec0b67ebcf8cd9eb09c60f7db4a7e4fab7ad | [
"MIT"
] | 39 | 2015-04-10T05:38:07.000Z | 2021-09-09T02:26:54.000Z | tests/test_private_storage.py | manlan2/django-qiniu-storage | b046ec0b67ebcf8cd9eb09c60f7db4a7e4fab7ad | [
"MIT"
] | 69 | 2015-03-03T14:31:20.000Z | 2021-10-11T08:31:25.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals, print_function
from datetime import datetime
import os
from os.path import dirname, join
import sys
import time
import unittest
import uuid
import logging
LOGGING_FORMAT = '\n%(levelname)s %(asctime)s %(message)s'
logging.basicConfig(lev... | 29.106796 | 82 | 0.645097 | 1,933 | 0.640915 | 0 | 0 | 859 | 0.284814 | 0 | 0 | 489 | 0.162135 |
65e1926c2e3ccf0ad609aeee24520c09fc7d1f0b | 1,227 | py | Python | inference_sagemaker_simple.py | benayas1/MNIST-deployment | 36eab6589816ca6598a42d637755ad1432cb8b1c | [
"MIT"
] | null | null | null | inference_sagemaker_simple.py | benayas1/MNIST-deployment | 36eab6589816ca6598a42d637755ad1432cb8b1c | [
"MIT"
] | null | null | null | inference_sagemaker_simple.py | benayas1/MNIST-deployment | 36eab6589816ca6598a42d637755ad1432cb8b1c | [
"MIT"
] | null | null | null | # This file implements functions model_fn, input_fn, predict_fn and output_fn.
# Function model_fn is mandatory. The other functions can be omitted so the standard sagemaker function will be used.
# An alternative to the last 3 functions is to use function transform_fn(model, data, input_content_type, output_content_ty... | 37.181818 | 126 | 0.740016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 748 | 0.609617 |
65e1ff2eb00e84049f3aabe94179a02fc82570ba | 802 | py | Python | hw/scripts/__main__.py | jonasblixt/mongoose | 4f392353f42d9c9245cdb5d9511348ec40bd936f | [
"BSD-3-Clause"
] | 4 | 2019-07-31T17:59:14.000Z | 2019-10-06T11:46:28.000Z | hw/scripts/__main__.py | jonasblixt/mongoose | 4f392353f42d9c9245cdb5d9511348ec40bd936f | [
"BSD-3-Clause"
] | null | null | null | hw/scripts/__main__.py | jonasblixt/mongoose | 4f392353f42d9c9245cdb5d9511348ec40bd936f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import kicad
import model
from stackups import JLCPCB6Layers
#from dram import lp4
# IMX8MM
# Diff pairs should be matched within 1ps
# CK_t/CK_c max 200 ps
# CA[5:0]
# CS[1:0] min: CK_t - 25ps, max: CK_t + 25ps
# CKE[1:0]
# DQS0_t/DQS0_c min: CK_t - 85ps, max CK_t + 85ps
# DQ[7:0]... | 21.675676 | 68 | 0.627182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.63591 |
65e2a0c64857964a543fdd7ce72cd8eee8d2cbac | 165 | py | Python | farms2face/subscriptions/views.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | null | null | null | farms2face/subscriptions/views.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | null | null | null | farms2face/subscriptions/views.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | 2 | 2018-06-19T12:12:08.000Z | 2018-06-25T18:45:36.000Z | from django.shortcuts import render
# Create your views here.
def subscribe(request):
return render(request, "subscribe.html",
{'data': {}})
| 20.625 | 44 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.284848 |
65e2db02f151a8da25b3c6a7203333c4f0b917f2 | 4,795 | py | Python | scripts/runOptimizer.py | sschulz365/PhC_Optimization | 9a4add4eb638d797647cabbdf0f96b29b78114f2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 2 | 2017-05-13T05:33:06.000Z | 2021-02-26T14:39:44.000Z | scripts/runOptimizer.py | sschulz365/PhC_Optimization | 9a4add4eb638d797647cabbdf0f96b29b78114f2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | scripts/runOptimizer.py | sschulz365/PhC_Optimization | 9a4add4eb638d797647cabbdf0f96b29b78114f2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | #Sean Billings, 2015
import random
import numpy
import subprocess
import constraints
from experiment import Experiment
from objectiveFunctions import WeightedSumObjectiveFunction, IdealDifferentialObjectiveFunction
from waveGuideMPBOptimizer import differentialEvolution, createPopulation, gradientDescentAlgorithm
impor... | 33.531469 | 104 | 0.737018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,447 | 0.510323 |
65e30ee0c4097461b20374e7d55ddbfdf3a3908e | 2,781 | py | Python | packages/w3af/w3af/core/data/url/handlers/cookie_handler.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | 3 | 2019-04-09T22:59:33.000Z | 2019-06-14T09:23:24.000Z | tools/w3af/w3af/core/data/url/handlers/cookie_handler.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | tools/w3af/w3af/core/data/url/handlers/cookie_handler.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | """
cookie_handler.py
Copyright 2006 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation version 2 of the License.
w3af is distributed in the hope t... | 30.56044 | 78 | 0.678533 | 1,987 | 0.714491 | 0 | 0 | 0 | 0 | 0 | 0 | 1,201 | 0.431859 |
65e31c331679c439236e3ccff96fa39b9166d6f4 | 435 | py | Python | setup.py | jigyasudhingra/music-recommendation-system | 09c66c4f207002b200d6394cf72e853741e44b6e | [
"MIT"
] | 2 | 2021-12-04T08:47:41.000Z | 2021-12-06T16:54:36.000Z | setup.py | jigyasudhingra/music-recommendation-system | 09c66c4f207002b200d6394cf72e853741e44b6e | [
"MIT"
] | null | null | null | setup.py | jigyasudhingra/music-recommendation-system | 09c66c4f207002b200d6394cf72e853741e44b6e | [
"MIT"
] | 1 | 2020-12-12T15:55:20.000Z | 2020-12-12T15:55:20.000Z | import os
import urllib.request
from zipfile import ZipFile
HOME_DIRECTORY = os.path.join('datasets','raw')
ROOT_URL = 'https://os.unil.cloud.switch.ch/fma/fma_metadata.zip'
if not os.path.isdir(HOME_DIRECTORY):
os.makedirs(HOME_DIRECTORY)
zip_path = os.path.join(HOME_DIRECTORY, 'data.zip')
urllib.request.urlretr... | 29 | 65 | 0.758621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0.204598 |
65e488ce45eec9f35c2f059eb9cb3c3452d611ab | 2,601 | py | Python | src/thesis/parsers/utils.py | emanuelevivoli/2021-Master-Thesis-UNIFI | e702795f71ecf0e09fca64e72780f4f6367558c9 | [
"MIT"
] | 1 | 2022-02-14T00:06:21.000Z | 2022-02-14T00:06:21.000Z | src/thesis/parsers/utils.py | emanuelevivoli/2021-Master-Thesis-UNIFI | e702795f71ecf0e09fca64e72780f4f6367558c9 | [
"MIT"
] | null | null | null | src/thesis/parsers/utils.py | emanuelevivoli/2021-Master-Thesis-UNIFI | e702795f71ecf0e09fca64e72780f4f6367558c9 | [
"MIT"
] | 1 | 2022-02-14T00:06:14.000Z | 2022-02-14T00:06:14.000Z | from thesis.parsers.classes import Args
def split_args(args: Args):
dataset_args = args.datatrain
training_args = args.training
model_args = args.model
embedding_args = args.embedds
visual_args = args.visual
run_args = args.runs
log_args = args.logs
return dataset_args, training_args... | 35.148649 | 107 | 0.662438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,222 | 0.469819 |
65e524699bbb4c1ad2b8a3703eba4df80c4f8ec4 | 6,625 | py | Python | tensorflow_examples/lite/model_maker/core/task/custom_model.py | Abhi1code/FaceMaskDetection | 689abda8243665c218193384aa655c11d555c4e9 | [
"Apache-2.0"
] | 1 | 2022-01-08T16:02:18.000Z | 2022-01-08T16:02:18.000Z | tensorflow_examples/lite/model_maker/core/task/custom_model.py | Abhi1code/MaskDetection | 689abda8243665c218193384aa655c11d555c4e9 | [
"Apache-2.0"
] | 4 | 2021-06-08T21:30:20.000Z | 2022-03-12T00:28:38.000Z | tensorflow_examples/lite/model_maker/core/task/custom_model.py | Abhi1code/MaskDetection | 689abda8243665c218193384aa655c11d555c4e9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.401099 | 83 | 0.683321 | 5,422 | 0.818415 | 252 | 0.038038 | 221 | 0.033358 | 0 | 0 | 2,819 | 0.425509 |
65e60e80d09e1199bb195a86c8a1614239235c24 | 3,479 | py | Python | src/architectures/nmp/stacked_nmp/stacked_fixed_nmp.py | isaachenrion/jets | 59aeba81788d0741af448192d9dfb764fb97cf8d | [
"BSD-3-Clause"
] | 9 | 2017-10-09T17:01:52.000Z | 2018-06-12T18:06:05.000Z | src/architectures/nmp/stacked_nmp/stacked_fixed_nmp.py | isaachenrion/jets | 59aeba81788d0741af448192d9dfb764fb97cf8d | [
"BSD-3-Clause"
] | 31 | 2017-11-01T14:39:02.000Z | 2018-04-18T15:34:24.000Z | src/architectures/nmp/stacked_nmp/stacked_fixed_nmp.py | isaachenrion/jets | 59aeba81788d0741af448192d9dfb764fb97cf8d | [
"BSD-3-Clause"
] | 10 | 2017-10-17T19:23:14.000Z | 2020-07-05T04:44:45.000Z | import os
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from src.architectures.readout import READOUTS
from src.architectures.embedding import EMBEDDINGS
from .attention_pooling import POOLING_LAYERS
from ..message_passing import MP_LAYERS
from ..... | 31.627273 | 111 | 0.540673 | 3,037 | 0.872952 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.066973 |
65e7b3e3e21dcd54310f063dfef34f4349a1bdff | 533 | py | Python | slixmpp/plugins/xep_0122/data_validation.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 86 | 2016-07-04T13:26:02.000Z | 2022-02-19T10:26:21.000Z | slixmpp/plugins/xep_0122/data_validation.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 10 | 2016-09-30T18:55:41.000Z | 2020-05-01T14:22:47.000Z | slixmpp/plugins/xep_0122/data_validation.py | anirudhrata/slixmpp | 1fcee0e80a212eeb274d2f560e69099d8a61bf7f | [
"BSD-3-Clause"
] | 45 | 2016-09-30T18:48:41.000Z | 2022-03-18T21:39:33.000Z | from slixmpp.xmlstream import register_stanza_plugin
from slixmpp.plugins import BasePlugin
from slixmpp.plugins.xep_0004 import stanza
from slixmpp.plugins.xep_0004.stanza import FormField
from slixmpp.plugins.xep_0122.stanza import FormValidation
class XEP_0122(BasePlugin):
"""
XEP-0122: Data Forms
"""
... | 26.65 | 58 | 0.754221 | 281 | 0.527205 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0.166979 |
65e86aaff0a0cc5f5a6394f9f3fd03cd47bf0ab3 | 497 | py | Python | q037.py | sjf/project_euler | 8514710e2018136ba8a087ae58cba35370700f6f | [
"MIT"
] | null | null | null | q037.py | sjf/project_euler | 8514710e2018136ba8a087ae58cba35370700f6f | [
"MIT"
] | null | null | null | q037.py | sjf/project_euler | 8514710e2018136ba8a087ae58cba35370700f6f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import lib
N=1000000
sieve = lib.get_prime_sieve(N)
primes = lib.primes(N, sieve)
primes = primes[4:]
def is_truncatable(n):
num = n
c = 0
while num:
if not sieve[num]:
return False
num = int(num / 10)
c += 1
while c:
num = n % 10**c
if not sieve[num]:
r... | 15.53125 | 30 | 0.581489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.044266 |
65e8c2b06a56311edf49d920f21df0bd1cab027c | 708 | py | Python | StationeersSaveFileDebugTools.py | lostinplace/StationeersSaveFileDebugTools | 372a2fc86a9fc3af25044a56131271b577d4d97b | [
"MIT"
] | null | null | null | StationeersSaveFileDebugTools.py | lostinplace/StationeersSaveFileDebugTools | 372a2fc86a9fc3af25044a56131271b577d4d97b | [
"MIT"
] | 1 | 2021-01-10T21:12:41.000Z | 2021-01-10T21:14:49.000Z | StationeersSaveFileDebugTools.py | lostinplace/StationeersSaveFileDebugTools | 372a2fc86a9fc3af25044a56131271b577d4d97b | [
"MIT"
] | null | null | null | import click
@click.group()
def cli():
pass
@cli.command("restore_atmo")
@click.argument('currentFile')
@click.argument('backupFile')
@click.argument('newFilePath')
def restore_atmo(current_file, backup_file, new_file_path):
from Utils.AtmoFileProcessing.RestoreAtmo import create_restored_world_file
cre... | 26.222222 | 108 | 0.79661 | 0 | 0 | 0 | 0 | 648 | 0.915254 | 0 | 0 | 95 | 0.134181 |
65e9978ee2200931e2a3bf2760b84a179ae2b472 | 3,610 | py | Python | RL/get_depthmaps.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | RL/get_depthmaps.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | RL/get_depthmaps.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | import sys
from pathlib import Path
from datetime import datetime
import argparse
import json
import torch
from torchvision.utils import save_image
import torchvision
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.metrics import pairwise_distances_argmin
from sklea... | 30.59322 | 95 | 0.645983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 692 | 0.19169 |
65e9a81560bd3bd5d8fd30d98016ea9c330e4eba | 6,350 | py | Python | monty/exts/info/global_source.py | onerandomusername/monty-python | fcd8b2827eb9bbb2a05d28f80ac9e215589f03f7 | [
"MIT"
] | 20 | 2021-12-31T10:17:20.000Z | 2022-03-31T04:16:17.000Z | monty/exts/info/global_source.py | onerandomusername/monty-bot | b1c769e44b56bc45f37fc809064571d59c80db27 | [
"MIT"
] | 1 | 2022-03-13T22:34:33.000Z | 2022-03-13T22:34:52.000Z | monty/exts/info/global_source.py | onerandomusername/monty-bot | b1c769e44b56bc45f37fc809064571d59c80db27 | [
"MIT"
] | 3 | 2022-01-02T15:21:46.000Z | 2022-03-05T09:37:54.000Z | from __future__ import annotations
import os
from typing import TYPE_CHECKING, Final, List
from urllib.parse import urldefrag
import disnake
from disnake.ext import commands, tasks
from monty.log import get_logger
from monty.utils.helpers import encode_github_link
from monty.utils.messages import DeleteButton
if T... | 37.352941 | 120 | 0.601732 | 5,724 | 0.901417 | 0 | 0 | 5,340 | 0.840945 | 4,896 | 0.771024 | 1,775 | 0.279528 |
65edc49e48e5587c1006c65ecaf10e38136be5e1 | 18,608 | py | Python | grr/core/grr_response_core/lib/rdfvalue_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 4,238 | 2015-01-01T15:34:50.000Z | 2022-03-31T08:18:05.000Z | grr/core/grr_response_core/lib/rdfvalue_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 787 | 2015-01-02T21:34:24.000Z | 2022-03-02T13:26:38.000Z | grr/core/grr_response_core/lib/rdfvalue_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 856 | 2015-01-02T02:50:11.000Z | 2022-03-31T11:11:53.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""Tests for utility classes."""
import datetime
import sys
import unittest
from absl import app
from absl.testing import absltest
from grr_response_core.lib import rdfvalue
from grr.test_lib import test_lib
long_string = (
"迎欢迎\n"
"Lorem ipsum dolor sit amet... | 39.591489 | 80 | 0.690294 | 17,527 | 0.940391 | 0 | 0 | 256 | 0.013735 | 0 | 0 | 2,032 | 0.109025 |
028ccbb703922e522d9de79fd431e21d9aeac192 | 909 | py | Python | src/main/python/server/test.py | areichmann-tgm/client_travis | c00163e6d7630ff4efaf28605b134e356e02a9d1 | [
"MIT"
] | null | null | null | src/main/python/server/test.py | areichmann-tgm/client_travis | c00163e6d7630ff4efaf28605b134e356e02a9d1 | [
"MIT"
] | null | null | null | src/main/python/server/test.py | areichmann-tgm/client_travis | c00163e6d7630ff4efaf28605b134e356e02a9d1 | [
"MIT"
] | null | null | null | import pytest
from server import rest
@pytest.fixture
def client():
rest.app.testing = True
#rest.app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///server.MyStudents'
client = rest.app.test_client()
yield client
def test_get(client):
res = client.get('/schueler')
assert res.status_code ==... | 25.971429 | 133 | 0.667767 | 0 | 0 | 175 | 0.192519 | 191 | 0.210121 | 0 | 0 | 342 | 0.376238 |
028dbb898943de5745b9b0587b4aecb405f08834 | 3,143 | py | Python | helper-scripts/instrnocombine.py | felixaestheticus/realcode-validation | c599cc41797fc074bd2b71d205d6b2b904e1d64b | [
"BSD-3-Clause"
] | null | null | null | helper-scripts/instrnocombine.py | felixaestheticus/realcode-validation | c599cc41797fc074bd2b71d205d6b2b904e1d64b | [
"BSD-3-Clause"
] | null | null | null | helper-scripts/instrnocombine.py | felixaestheticus/realcode-validation | c599cc41797fc074bd2b71d205d6b2b904e1d64b | [
"BSD-3-Clause"
] | null | null | null | #combine.py, combines available dictionaries into one, and generates csv file for latex
#f = open('dict_random')
mem_ops = 'MOVS','MOV','LDR','LDRH','LDRB','LDRSH','LDRSB','LDM','STR','STRH','STRB','STM'
ari_ops = 'ADDS','ADD','ADC','ADCS','ADR','SUBS','SUB','SBCS','RSBS','MULS','MUL','RSB','SBC'
com_ops = 'CMP','CM... | 25.144 | 119 | 0.602291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 0.394528 |
028e69371236efe13bb824f07b81ce319b9462f0 | 4,102 | py | Python | ip_client.py | HuiiBuh/checkers-master | 112eb1df1d8b0d691edd82978945ea5527b75fab | [
"MIT"
] | 1 | 2021-09-04T05:34:51.000Z | 2021-09-04T05:34:51.000Z | ip_client.py | HuiiBuh/checkers-master | 112eb1df1d8b0d691edd82978945ea5527b75fab | [
"MIT"
] | null | null | null | ip_client.py | HuiiBuh/checkers-master | 112eb1df1d8b0d691edd82978945ea5527b75fab | [
"MIT"
] | null | null | null | #from src.piclient import PiClient
from src.streamclient import StreamClient
import math
options = {
"boarddetector": {
"prepare": {
"resize": [512, 512]
},
"corners": {
"maxcorners": 500,
"qualitylevel": 0.01,
"mindistance": 20
},
... | 25.165644 | 105 | 0.455144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,062 | 0.258898 |
028e7466100505ca2d031073edf99db35fd3966b | 2,773 | py | Python | registration_eval/different_days/dd_compute_dense_transformation_error.py | mirestrepo/voxels-at-lems | df47d031653d2ad877a97b3c1ea574b924b7d4c2 | [
"BSD-2-Clause"
] | 2 | 2015-09-18T00:17:16.000Z | 2019-02-06T04:41:29.000Z | registration_eval/different_days/dd_compute_dense_transformation_error.py | mirestrepo/voxels-at-lems | df47d031653d2ad877a97b3c1ea574b924b7d4c2 | [
"BSD-2-Clause"
] | null | null | null | registration_eval/different_days/dd_compute_dense_transformation_error.py | mirestrepo/voxels-at-lems | df47d031653d2ad877a97b3c1ea574b924b7d4c2 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
compute_transformation_error.py
Created by Maria Isabel Restrepo on 2012-09-24.
Copyright (c) 2012 . All rights reserved.
This script computes the distances betweeen an estimated similarity transformation and its ground trutrransformation is used to transform a "source" coor... | 48.649123 | 200 | 0.695636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,397 | 0.864407 |
028f14718283c8b1eabad98e17db6f0ca1dee6eb | 16,301 | py | Python | migrations/versions/be21086640ad_country_added.py | anjinkristou/assistor | 02d9b826b9d8844d475c11c33db48cf278282183 | [
"MIT"
] | 1 | 2022-01-29T14:00:32.000Z | 2022-01-29T14:00:32.000Z | migrations/versions/be21086640ad_country_added.py | anjinkristou/assistor | 02d9b826b9d8844d475c11c33db48cf278282183 | [
"MIT"
] | null | null | null | migrations/versions/be21086640ad_country_added.py | anjinkristou/assistor | 02d9b826b9d8844d475c11c33db48cf278282183 | [
"MIT"
] | null | null | null | """Country added
Revision ID: be21086640ad
Revises: 153f720f966f
Create Date: 2021-11-09 15:34:04.306218
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'be21086640ad'
down_revision = '153f720f966f'
branch_labels = None
depends_on = None
naming_convention = {
... | 55.070946 | 123 | 0.587081 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15,208 | 0.932949 |
0290a912952dfd6fc7b4ea5458b073ea88cdb834 | 26,718 | py | Python | pyxrd/scripts/generate_default_phases.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 27 | 2018-06-15T15:28:18.000Z | 2022-03-10T12:23:50.000Z | pyxrd/scripts/generate_default_phases.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 22 | 2018-06-14T08:29:16.000Z | 2021-07-05T13:33:44.000Z | pyxrd/scripts/generate_default_phases.py | PyXRD/pyxrd | 26bacdf64f3153fa74b8caa62e219b76d91a55c1 | [
"BSD-2-Clause"
] | 8 | 2019-04-13T13:03:51.000Z | 2021-06-19T09:29:11.000Z | #!/usr/bin/python
# coding=UTF-8
# ex:ts=4:sw=4:et=on
# Copyright (c) 2013, Mathijs Dumon
# All rights reserved.
# Complete license can be found in the LICENSE file.
import os
from pyxrd.data import settings
from pyxrd.project.models import Project
from pyxrd.phases.models import Component, Phase
def generate_expan... | 38.777939 | 165 | 0.606183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,969 | 0.298252 |
0291301e96c8737d3d86596ed9a5bcb7c2fdd30e | 1,322 | py | Python | data/kaggle_python/interview_prac/FizzBuzz.py | MohanKrishna-RC/Python-Necessities | c63fbac717a9bf7edd48ec20337c16de55f5b535 | [
"FTL"
] | null | null | null | data/kaggle_python/interview_prac/FizzBuzz.py | MohanKrishna-RC/Python-Necessities | c63fbac717a9bf7edd48ec20337c16de55f5b535 | [
"FTL"
] | 8 | 2019-11-27T12:05:09.000Z | 2019-11-27T12:05:18.000Z | data/kaggle_python/interview_prac/FizzBuzz.py | MohanKrishna-RC/Python-Necessities | c63fbac717a9bf7edd48ec20337c16de55f5b535 | [
"FTL"
] | null | null | null | import sys
"""
Example :
Input:
2 (Test cases)
3 (Size of array)
0 1 1 (input)
3
0 1 2
"""
# To store no of test cases here (2).
# To store input here (0 1 1) and (0 1 2).
t = int(sys.stdin.readline())
# print(t)
l = []
while t:
#To store the size of array here (3).
n = int(sys.stdin.readline())
... | 22.793103 | 98 | 0.519667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,026 | 0.776097 |
029137d82ad6128135f8644310a7387974e99f16 | 3,660 | py | Python | wikipediabase/persistentkv.py | fakedrake/WikipediaBase | ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb | [
"Apache-2.0"
] | 1 | 2017-11-26T17:57:59.000Z | 2017-11-26T17:57:59.000Z | wikipediabase/persistentkv.py | fakedrake/WikipediaBase | ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb | [
"Apache-2.0"
] | 34 | 2015-03-23T10:28:59.000Z | 2021-12-13T20:16:48.000Z | wikipediabase/persistentkv.py | fakedrake/WikipediaBase | ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb | [
"Apache-2.0"
] | 2 | 2015-05-17T00:56:45.000Z | 2015-06-27T22:10:59.000Z | """
Some persistent maps (gdbm) require special encoding of keys
and/or values. This is an abstraction for these kinds of quirks.
"""
from itertools import imap
import collections
import gdbm as dbm
import json
from sqlitedict import SqliteDict
import os
class EncodedDict(collections.MutableMapping):
"""
Sub... | 24.72973 | 76 | 0.650546 | 2,374 | 0.648634 | 0 | 0 | 0 | 0 | 0 | 0 | 1,346 | 0.36776 |
0291c411c4fb519a999596fb62a5c1bf748ff844 | 1,672 | py | Python | SlidingWindows/Leetcode132.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | SlidingWindows/Leetcode132.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | SlidingWindows/Leetcode132.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | class Solution:
def minCut(self, s: str) -> int:
dp=self.isPal(s)
return self.bfs(s,dp)
def isPal(self,s):
dp=[[False for i in s] for i in s]
for i in range(len(s)):
dp[i][i]=True
if i+1<len(s):
dp[i][i+1]=True if s[i]==s[i+1] else False
... | 30.962963 | 108 | 0.423445 | 1,459 | 0.872608 | 0 | 0 | 0 | 0 | 0 | 0 | 252 | 0.150718 |
0292b6686b64612233e83af31cfc31f88384ed05 | 3,708 | py | Python | widgets/component.py | peskaf/ramAIn | 8eb1418007c925ac618e3bddd7de2c0520f5977a | [
"MIT"
] | null | null | null | widgets/component.py | peskaf/ramAIn | 8eb1418007c925ac618e3bddd7de2c0520f5977a | [
"MIT"
] | null | null | null | widgets/component.py | peskaf/ramAIn | 8eb1418007c925ac618e3bddd7de2c0520f5977a | [
"MIT"
] | null | null | null | from PySide6.QtGui import QColor
from PySide6.QtWidgets import QFrame, QHBoxLayout, QWidget
from PySide6.QtCore import Qt, QSettings, QEvent
from utils import colors
import pyqtgraph as pg
import numpy as np
class ScrollablePlotWidget(pg.PlotWidget):
"""
Subclass of `pg.PlotWidget` that overrides `wheelEven... | 32.243478 | 102 | 0.650755 | 3,484 | 0.93959 | 0 | 0 | 0 | 0 | 0 | 0 | 1,338 | 0.360841 |
029490250183cbdb90fa4664ca45b602bbeae6f3 | 9,124 | py | Python | Step 4 - Implement the tflite for raspberry pi/godlike_tflite_cam_script.py | monacotime/4.IoT-project-sem-5 | ef14dfba33d308cb5307bbb07d2950fd9a34cfda | [
"MIT"
] | null | null | null | Step 4 - Implement the tflite for raspberry pi/godlike_tflite_cam_script.py | monacotime/4.IoT-project-sem-5 | ef14dfba33d308cb5307bbb07d2950fd9a34cfda | [
"MIT"
] | null | null | null | Step 4 - Implement the tflite for raspberry pi/godlike_tflite_cam_script.py | monacotime/4.IoT-project-sem-5 | ef14dfba33d308cb5307bbb07d2950fd9a34cfda | [
"MIT"
] | null | null | null | ### IT WORKS BOIISSS WE DID IT!!!!###
#-------------------------------------------------------------
#Imports
#-------------------------------------------------------------
import tensorflow as tf
import numpy as np
from PIL import Image
import cv2
import colorsys
import random
import time
from googleapiclient.http i... | 42.635514 | 130 | 0.551732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,275 | 0.249342 |
0295359e838ee62284e6df9935d33336b1756495 | 2,790 | py | Python | maskrcnn_benchmark/modeling/backbone/res2net_builder.py | koseimori/Res2Net-maskrcnn | e205ff67855b52375f340ca70a08995069424e5c | [
"MIT"
] | 31 | 2020-02-02T15:12:13.000Z | 2022-03-18T08:09:17.000Z | maskrcnn_benchmark/modeling/backbone/res2net_builder.py | koseimori/Res2Net-maskrcnn | e205ff67855b52375f340ca70a08995069424e5c | [
"MIT"
] | 4 | 2020-03-08T08:26:12.000Z | 2021-03-08T11:30:52.000Z | maskrcnn_benchmark/modeling/backbone/res2net_builder.py | koseimori/Res2Net-maskrcnn | e205ff67855b52375f340ca70a08995069424e5c | [
"MIT"
] | 17 | 2020-02-20T12:04:04.000Z | 2021-06-06T07:26:23.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from collections import OrderedDict
from torch import nn
from maskrcnn_benchmark.modeling import registry
from maskrcnn_benchmark.modeling.make_layers import conv_with_kaiming_uniform
from . import fpn as fpn_module
from . import res2net
@regis... | 34.875 | 83 | 0.699283 | 0 | 0 | 0 | 0 | 2,167 | 0.776703 | 0 | 0 | 513 | 0.183871 |
029644afd069012e2e180cddce470b4c75d102b6 | 608 | py | Python | code/tmp_rtrip/test/memory_watchdog.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 24 | 2018-01-23T05:28:40.000Z | 2021-04-13T20:52:59.000Z | code/tmp_rtrip/test/memory_watchdog.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 17 | 2017-12-21T18:32:31.000Z | 2018-12-18T17:09:50.000Z | code/tmp_rtrip/test/memory_watchdog.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | null | null | null | """Memory watchdog: periodically read the memory usage of the main test process
and print it out, until terminated."""
import os
import sys
import time
try:
page_size = os.sysconf('SC_PAGESIZE')
except (ValueError, AttributeError):
try:
page_size = os.sysconf('SC_PAGE_SIZE')
except (ValueError, Attr... | 28.952381 | 79 | 0.662829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.302632 |
02967401719aa2d8549023548710f426054a51b3 | 371 | py | Python | tests/conftest.py | charles-cooper/crvfunder | 63b4041ff06ff6ea943a7d69ae233719c4411bbd | [
"MIT"
] | 6 | 2022-03-17T21:10:41.000Z | 2022-03-27T04:38:53.000Z | tests/conftest.py | charles-cooper/crvfunder | 63b4041ff06ff6ea943a7d69ae233719c4411bbd | [
"MIT"
] | null | null | null | tests/conftest.py | charles-cooper/crvfunder | 63b4041ff06ff6ea943a7d69ae233719c4411bbd | [
"MIT"
] | 2 | 2022-03-26T03:37:40.000Z | 2022-03-28T22:01:20.000Z | import pytest
pytest_plugins = ["fixtures.accounts", "fixtures.deployments"]
def pytest_sessionfinish(session, exitstatus):
if exitstatus == pytest.ExitCode.NO_TESTS_COLLECTED:
# we treat "no tests collected" as passing
session.exitstatus = pytest.ExitCode.OK
@pytest.fixture(autouse=True)
def i... | 24.733333 | 62 | 0.749326 | 0 | 0 | 0 | 0 | 85 | 0.229111 | 0 | 0 | 83 | 0.22372 |
0297324475a0f71073a283c42e8668872ade345c | 38,375 | py | Python | sdk/python/pulumi_databricks/permissions.py | pulumi/pulumi-databricks | 43580d4adbd04b72558f368ff0eef3d03432ebc1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_databricks/permissions.py | pulumi/pulumi-databricks | 43580d4adbd04b72558f368ff0eef3d03432ebc1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_databricks/permissions.py | pulumi/pulumi-databricks | 43580d4adbd04b72558f368ff0eef3d03432ebc1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 41.802832 | 279 | 0.645368 | 37,906 | 0.987779 | 0 | 0 | 33,780 | 0.880261 | 0 | 0 | 11,641 | 0.303349 |
02974a7f2e55a4545889ad1727cb810be5d621b5 | 1,254 | py | Python | file/txt2bin.py | QPointNotebook/PythonSample | 53c2a54da2bf9a61449ed1c7d2864c5c0eedc5e0 | [
"MIT"
] | null | null | null | file/txt2bin.py | QPointNotebook/PythonSample | 53c2a54da2bf9a61449ed1c7d2864c5c0eedc5e0 | [
"MIT"
] | null | null | null | file/txt2bin.py | QPointNotebook/PythonSample | 53c2a54da2bf9a61449ed1c7d2864c5c0eedc5e0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from file.file import file
class txt2bin( file ):
def read( self, file ):
datas = []
with open( file, 'r', encoding='utf-8' ) as f:
lines = f.readlines()
for line in lines:
data = line.... | 31.35 | 77 | 0.369219 | 1,178 | 0.939394 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.154705 |
02982b64a64f41b7dc43e4d28a9770dcfad2d139 | 2,105 | py | Python | PGPs_tensorflow/Examples/Airline.py | maziarraissi/ParametricGP | d5974c9e41a2cd761c0cfaff138c5b1722c006db | [
"MIT"
] | 43 | 2017-04-12T10:43:21.000Z | 2022-02-28T05:16:02.000Z | PGPs_tensorflow/Examples/Airline.py | arita37/ParametricGP | 9c04f3166c22e787a92290fe4353ba4f918ed598 | [
"MIT"
] | 1 | 2018-05-25T00:26:10.000Z | 2018-05-29T05:26:15.000Z | PGPs_tensorflow/Examples/Airline.py | arita37/ParametricGP | 9c04f3166c22e787a92290fe4353ba4f918ed598 | [
"MIT"
] | 22 | 2017-04-12T02:22:08.000Z | 2021-04-10T23:19:52.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Maziar Raissi
"""
import sys
sys.path.insert(0, '../PGP/')
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from parametric_GP import PGP
if __name__ == "__main__":
# Import the data
data = pd.read_pickle('airline.pick... | 25.059524 | 106 | 0.566271 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 0.263658 |
029864a3d0017b3744cbc0ce2c0fdf1a9dd81484 | 2,081 | py | Python | django_project/proj/settings/local.py | robabram/Quickstart-Secure-Django-Template | 22f304e864f8f6ce972f44bce6fe9b885341201a | [
"MIT"
] | 9 | 2018-10-03T00:30:57.000Z | 2021-12-29T07:48:08.000Z | django_project/proj/settings/local.py | robabram/Quickstart-Secure-Django-Template | 22f304e864f8f6ce972f44bce6fe9b885341201a | [
"MIT"
] | 9 | 2020-02-10T17:08:01.000Z | 2021-11-19T17:21:18.000Z | django_project/proj/settings/local.py | robabram/Quickstart-Secure-Django-Template | 22f304e864f8f6ce972f44bce6fe9b885341201a | [
"MIT"
] | null | null | null | #
# Author: Robert Abram <rabram991@gmail.com>
#
# This file is subject to the terms and conditions defined in the
# file 'LICENSE', which is part of this source code package.
#
import os
from proj.settings.base import *
#
# Logging
#
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatter... | 27.381579 | 86 | 0.475252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,159 | 0.556944 |
0298d15f0c2dd54fb30dc11d08603cd497ca28b4 | 3,426 | py | Python | pyfos/utils/system_security/seccertmgmt_show.py | madhavinaiduprathap/pyfosbrocade | ec100e77c441761c3e688f1d8e5d18ad38cc83f4 | [
"Apache-2.0"
] | 44 | 2017-11-17T12:03:11.000Z | 2022-02-03T20:57:56.000Z | pyfos/utils/system_security/seccertmgmt_show.py | madhavinaiduprathap/pyfosbrocade | ec100e77c441761c3e688f1d8e5d18ad38cc83f4 | [
"Apache-2.0"
] | 13 | 2018-10-09T15:34:15.000Z | 2022-02-24T20:03:17.000Z | pyfos/utils/system_security/seccertmgmt_show.py | madhavinaiduprathap/pyfosbrocade | ec100e77c441761c3e688f1d8e5d18ad38cc83f4 | [
"Apache-2.0"
] | 23 | 2017-12-14T18:08:33.000Z | 2022-02-03T15:33:40.000Z | #!/usr/bin/env python3
# Copyright 2018 Brocade Communications Systems LLC. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may also obtain a copy of the License at
# http://www.apache.org/licenses/LICENS... | 30.864865 | 83 | 0.694104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,563 | 0.748103 |
029a249ed3ef3d36cbd9d5a8a3e1445f10e3e29d | 2,345 | py | Python | tests/base.py | Suhail6inkling/bot | 95ae05c773e753699e6899255783c1d7df936024 | [
"MIT"
] | 1 | 2022-01-01T17:33:48.000Z | 2022-01-01T17:33:48.000Z | tests/base.py | Suhail6inkling/bot | 95ae05c773e753699e6899255783c1d7df936024 | [
"MIT"
] | null | null | null | tests/base.py | Suhail6inkling/bot | 95ae05c773e753699e6899255783c1d7df936024 | [
"MIT"
] | 1 | 2020-11-01T19:57:00.000Z | 2020-11-01T19:57:00.000Z | import logging
import unittest
from contextlib import contextmanager
class _CaptureLogHandler(logging.Handler):
"""
A logging handler capturing all (raw and formatted) logging output.
"""
def __init__(self):
super().__init__()
self.records = []
def emit(self, record):
sel... | 34.485294 | 104 | 0.639659 | 2,270 | 0.968017 | 1,862 | 0.79403 | 1,882 | 0.802559 | 0 | 0 | 796 | 0.339446 |
029b069d68471e7fbe34c10e131ca57fcd80d3f5 | 892 | py | Python | blog/app/admin/views.py | web-user/flask-blog | 130f5dbcdb18b8f325c7aa8dd3d71cbc7190485a | [
"MIT"
] | null | null | null | blog/app/admin/views.py | web-user/flask-blog | 130f5dbcdb18b8f325c7aa8dd3d71cbc7190485a | [
"MIT"
] | null | null | null | blog/app/admin/views.py | web-user/flask-blog | 130f5dbcdb18b8f325c7aa8dd3d71cbc7190485a | [
"MIT"
] | null | null | null | from flask import Flask, render_template, session, redirect, url_for, request, flash, abort, current_app, make_response
from flask_login import login_user, logout_user, login_required, current_user
from . import admin
from .. import db
from ..models import User, Post
from ..form import PostForm
from functools import wr... | 34.307692 | 119 | 0.690583 | 0 | 0 | 0 | 0 | 516 | 0.578475 | 0 | 0 | 105 | 0.117713 |
029c0dd5be38ab97f221e4b0ca039e07bafa37e8 | 2,561 | py | Python | examples/get-set-params/robot.py | Tyler-Duckworth/robotpy-rev | d03829a4f8e47526e753f0edeafc1df888880775 | [
"Apache-2.0"
] | 1 | 2019-01-28T18:16:55.000Z | 2019-01-28T18:16:55.000Z | examples/get-set-params/robot.py | Tyler-Duckworth/robotpy-rev | d03829a4f8e47526e753f0edeafc1df888880775 | [
"Apache-2.0"
] | 18 | 2019-01-09T08:35:48.000Z | 2022-01-15T02:17:23.000Z | examples/get-set-params/robot.py | Tyler-Duckworth/robotpy-rev | d03829a4f8e47526e753f0edeafc1df888880775 | [
"Apache-2.0"
] | 9 | 2019-01-11T03:14:19.000Z | 2022-01-13T00:51:48.000Z | # ----------------------------------------------------------------------------
# Copyright (c) 2017-2018 FIRST. All Rights Reserved.
# Open Source Software - may be modified and shared by FRC teams. The code
# must be accompanied by the FIRST BSD license file in the root directory of
# the project.
# ------------------... | 40.015625 | 88 | 0.632956 | 2,102 | 0.820773 | 0 | 0 | 0 | 0 | 0 | 0 | 1,284 | 0.501367 |
029cefa854d393945ca4f9769661f617a4a0cbfe | 39,324 | py | Python | pyclustering/nnet/som.py | JosephChataignon/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 1,013 | 2015-01-26T19:50:14.000Z | 2022-03-31T07:38:48.000Z | pyclustering/nnet/som.py | peterlau0626/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 542 | 2015-01-20T16:44:32.000Z | 2022-01-29T14:57:20.000Z | pyclustering/nnet/som.py | peterlau0626/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 262 | 2015-03-19T07:28:12.000Z | 2022-03-30T07:28:24.000Z | """!
@brief Neural Network: Self-Organized Feature Map
@details Implementation based on paper @cite article::nnet::som::1, @cite article::nnet::som::2.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import math
import random
import matplotlib.pyplot as pl... | 39.402806 | 203 | 0.576416 | 38,726 | 0.984793 | 0 | 0 | 1,936 | 0.049232 | 0 | 0 | 13,775 | 0.350295 |
029d25002fe312ac4b1cd506fc070aee02af1ff6 | 2,265 | py | Python | ros/src/tl_detector/light_classification/tl_classifier.py | trajkd/Programming-a-Real-Self-Driving-Car | 536377815a8dd907c59979f4a07d25b6d157dbaa | [
"MIT"
] | 1 | 2021-08-17T11:19:34.000Z | 2021-08-17T11:19:34.000Z | ros/src/tl_detector/light_classification/tl_classifier.py | trajkd/Programming-a-Real-Self-Driving-Car | 536377815a8dd907c59979f4a07d25b6d157dbaa | [
"MIT"
] | 7 | 2020-09-26T01:07:12.000Z | 2022-03-12T00:31:00.000Z | ros/src/tl_detector/light_classification/tl_classifier.py | trajkd/Programming-a-Real-Self-Driving-Car | 536377815a8dd907c59979f4a07d25b6d157dbaa | [
"MIT"
] | 1 | 2021-08-06T17:24:26.000Z | 2021-08-06T17:24:26.000Z | import rospy
from styx_msgs.msg import TrafficLight
import numpy as np
from keras.models import Model
from keras import applications
from keras.models import load_model
from keras.preprocessing import image as img_preprocessing
import cv2
# load the trained model
from keras.utils.generic_utils import CustomObjectScop... | 36.532258 | 132 | 0.680795 | 1,866 | 0.823841 | 0 | 0 | 0 | 0 | 0 | 0 | 1,012 | 0.446799 |
029d60e7a021da261de9331901e5b18fe50fb799 | 2,080 | py | Python | sktime/clustering/evaluation/_plot_clustering.py | marcio55afr/sktime | 25ba2f470f037366ca6b0e529137d3d0a6191e2e | [
"BSD-3-Clause"
] | 5,349 | 2019-03-21T14:56:50.000Z | 2022-03-31T11:25:30.000Z | sktime/clustering/evaluation/_plot_clustering.py | marcio55afr/sktime | 25ba2f470f037366ca6b0e529137d3d0a6191e2e | [
"BSD-3-Clause"
] | 1,803 | 2019-03-26T13:33:53.000Z | 2022-03-31T23:58:10.000Z | sktime/clustering/evaluation/_plot_clustering.py | marcio55afr/sktime | 25ba2f470f037366ca6b0e529137d3d0a6191e2e | [
"BSD-3-Clause"
] | 911 | 2019-03-25T01:21:30.000Z | 2022-03-31T04:45:51.000Z | # -*- coding: utf-8 -*-
"""Cluster plotting tools"""
__author__ = ["Christopher Holder", "Tony Bagnall"]
__all__ = ["plot_cluster_algorithm"]
import pandas as pd
from sktime.clustering.base._typing import NumpyOrDF
from sktime.clustering.base.base import BaseClusterer
from sktime.clustering.partitioning._lloyds_parti... | 30.144928 | 88 | 0.703846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 502 | 0.241346 |
029ed725f1f2d111375bab605c9d49677c361f7c | 2,858 | py | Python | src/tests/crud/test_user.py | Behnam-sn/neat-backend | ba6e6356ee092eba27179f72fd2a15e25c68d1b8 | [
"MIT"
] | 1 | 2022-03-07T22:16:48.000Z | 2022-03-07T22:16:48.000Z | src/tests/crud/test_user.py | Behnam-sn/neat-backend | ba6e6356ee092eba27179f72fd2a15e25c68d1b8 | [
"MIT"
] | null | null | null | src/tests/crud/test_user.py | Behnam-sn/neat-backend | ba6e6356ee092eba27179f72fd2a15e25c68d1b8 | [
"MIT"
] | 1 | 2022-03-07T22:16:49.000Z | 2022-03-07T22:16:49.000Z | from sqlalchemy.orm import Session
from src import crud
from src.core.security import verify_password
from src.schemas.user import UserCreate, UserUpdate
from src.tests.utils.user import create_random_user_by_api
from src.tests.utils.utils import random_lower_string
def test_create_user(db: Session):
username = ... | 26.220183 | 74 | 0.747726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.005948 |
02a1f0d97978ae4cf6f1fe28ed7cbca384a07bc2 | 1,062 | py | Python | src/transductor/tests/test_forms.py | fga-gpp-mds/2016.2-Time07 | 44d78ce4f36b7cb535b9c775027b8a93972ba5e3 | [
"MIT"
] | null | null | null | src/transductor/tests/test_forms.py | fga-gpp-mds/2016.2-Time07 | 44d78ce4f36b7cb535b9c775027b8a93972ba5e3 | [
"MIT"
] | null | null | null | src/transductor/tests/test_forms.py | fga-gpp-mds/2016.2-Time07 | 44d78ce4f36b7cb535b9c775027b8a93972ba5e3 | [
"MIT"
] | null | null | null | from django.test import TestCase
from transductor.forms import EnergyForm
from transductor.models import TransductorModel
class EnergyTransductorForm(TestCase):
def setUp(self):
t_model = TransductorModel()
t_model.name = "TR 4020"
t_model.transport_protocol = "UDP"
t_model.serial_... | 25.902439 | 56 | 0.579096 | 937 | 0.882298 | 0 | 0 | 0 | 0 | 0 | 0 | 173 | 0.1629 |
02a2b904bf7cbd57601e581a0ffde8c156b2a583 | 3,729 | py | Python | src/models/base.py | zhengzangw/pytorch-classification | 3a6d95e3810015fa71c950492585c11dfe0b8b64 | [
"MIT"
] | null | null | null | src/models/base.py | zhengzangw/pytorch-classification | 3a6d95e3810015fa71c950492585c11dfe0b8b64 | [
"MIT"
] | null | null | null | src/models/base.py | zhengzangw/pytorch-classification | 3a6d95e3810015fa71c950492585c11dfe0b8b64 | [
"MIT"
] | null | null | null | from typing import Any, List, Optional
import hydra
import torch
import torchmetrics
from omegaconf import DictConfig
from pytorch_lightning import LightningModule
from ..optimizer.scheduler import create_scheduler
from ..utils import utils
from ..utils.misc import mixup_data
log = utils.get_logger(__name__)
class... | 31.601695 | 98 | 0.604452 | 3,413 | 0.915259 | 0 | 0 | 0 | 0 | 0 | 0 | 728 | 0.195227 |
02a48025dd5fe8b32b133893735d857d8b3b537a | 11,122 | py | Python | tea/balance.py | pcubillos/TEA | e3e4844de4cacef89b9f4a8b1673545726bfc42e | [
"BSD-4-Clause-UC"
] | 25 | 2016-06-20T23:21:46.000Z | 2022-02-06T18:57:33.000Z | tea/balance.py | pcubillos/TEA | e3e4844de4cacef89b9f4a8b1673545726bfc42e | [
"BSD-4-Clause-UC"
] | 3 | 2015-06-04T16:56:26.000Z | 2018-04-03T03:33:31.000Z | tea/balance.py | dzesmin/TEA | 0ec66410f274d9deea7764d53d6363f9aaad3355 | [
"BSD-4-Clause-UC"
] | 19 | 2015-05-27T17:46:41.000Z | 2021-08-05T10:54:59.000Z | #! /usr/bin/env python
############################# BEGIN FRONTMATTER ################################
# #
# TEA - calculates Thermochemical Equilibrium Abundances of chemical species #
# ... | 45.958678 | 85 | 0.538482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,282 | 0.74465 |
02a4beb0015cd6725cf78ab2fb76439c197ecfc1 | 2,073 | py | Python | sims/s251/calc-err.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 1 | 2019-12-19T16:21:13.000Z | 2019-12-19T16:21:13.000Z | sims/s251/calc-err.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | null | null | null | sims/s251/calc-err.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 2 | 2020-01-08T06:23:33.000Z | 2020-01-08T07:06:50.000Z | from pylab import *
import tables
def exactSol(X, Y, t):
return exp(-2*t)*sin(X)*cos(Y)
fh = tables.openFile("s251-dg-diffuse-2d_q_1.h5")
q = fh.root.StructGridField
nx, ny, nc = q.shape
dx = 2*pi/nx
Xf = linspace(0, 2*pi-dx, nx)
dy = 2*pi/ny
Yf = linspace(0, 2*pi-dy, ny)
XX, YY = meshgrid(Xf, Yf)
Xhr = linspace... | 21.371134 | 65 | 0.578389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.086348 |
02a600c96645d56c182f0a175380bb6948a7e4b5 | 973 | py | Python | PyCharm/Exercicios/Aula12/ex041.py | fabiodarice/Python | 15ec1c7428f138be875111ac98ba38cf2eec1a93 | [
"MIT"
] | null | null | null | PyCharm/Exercicios/Aula12/ex041.py | fabiodarice/Python | 15ec1c7428f138be875111ac98ba38cf2eec1a93 | [
"MIT"
] | null | null | null | PyCharm/Exercicios/Aula12/ex041.py | fabiodarice/Python | 15ec1c7428f138be875111ac98ba38cf2eec1a93 | [
"MIT"
] | null | null | null | # Importação de bibliotecas
from datetime import date
# Título do programa
print('\033[1;34;40mCLASSIFICAÇÃO DE CATEGORIAS PARA NATAÇÃO\033[m')
# Objetos
nascimento = int(input('\033[30mDigite o ano do seu nascimento:\033[m '))
idade = date.today().year - nascimento
mirim = 9
infantil = 14
junior = 19
senior = 20
# ... | 38.92 | 109 | 0.693731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 601 | 0.605847 |
02a632349d6da6f348ea1c189802c694c33a0241 | 1,681 | py | Python | github-bot/harvester_github_bot/config.py | futuretea/bot | 5f1f1a08e0fca6519e0126ff8f0b87fec23a38e3 | [
"Apache-2.0"
] | null | null | null | github-bot/harvester_github_bot/config.py | futuretea/bot | 5f1f1a08e0fca6519e0126ff8f0b87fec23a38e3 | [
"Apache-2.0"
] | null | null | null | github-bot/harvester_github_bot/config.py | futuretea/bot | 5f1f1a08e0fca6519e0126ff8f0b87fec23a38e3 | [
"Apache-2.0"
] | null | null | null | from everett.component import RequiredConfigMixin, ConfigOptions
from everett.manager import ConfigManager, ConfigOSEnv
class BotConfig(RequiredConfigMixin):
required_config = ConfigOptions()
required_config.add_option('flask_loglevel', parser=str, default='info', doc='Set the log level for Flask.')
requi... | 64.653846 | 121 | 0.606782 | 1,423 | 0.84652 | 0 | 0 | 0 | 0 | 0 | 0 | 543 | 0.323022 |
02a66be9396c06d98dcd1e2835505651b29dc2d8 | 618 | py | Python | scripts/MCA/1combine.py | jumphone/scRef | 7308d8571c3e46f481c9432857de84fd13955166 | [
"MIT"
] | 10 | 2018-11-27T09:32:53.000Z | 2022-03-21T02:42:54.000Z | scripts/MCA/1combine.py | jumphone/scRef | 7308d8571c3e46f481c9432857de84fd13955166 | [
"MIT"
] | null | null | null | scripts/MCA/1combine.py | jumphone/scRef | 7308d8571c3e46f481c9432857de84fd13955166 | [
"MIT"
] | 2 | 2018-12-13T18:45:26.000Z | 2020-06-20T07:18:19.000Z | import sys
output=sys.argv[1]
input_list=(sys.argv[2:])
EXP={}
header=[]
for input_file in input_list:
fi=open(input_file)
header=header+fi.readline().replace('"','').rstrip().split()
for line in fi:
seq=line.replace('"','').rstrip().split()
if seq[0] in EXP:
EXP[s... | 16.263158 | 65 | 0.509709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.053398 |
02a7fe68590060c7734febb66561d5e0b21091e7 | 1,152 | py | Python | apps/portalbase/macros/wiki/graph/1_main.py | jumpscale7/jumpscale_portal | 8c99265e48f85643f8a52bc40a23f5266fb09231 | [
"Apache-2.0"
] | 2 | 2016-04-14T14:05:01.000Z | 2016-04-21T07:20:36.000Z | apps/portalbase/macros/wiki/graph/1_main.py | Jumpscale/jumpscale6_core | 0502ddc1abab3c37ed982c142d21ea3955d471d3 | [
"BSD-2-Clause"
] | 13 | 2016-03-07T12:07:15.000Z | 2018-02-28T13:11:59.000Z | apps/portalbase/macros/wiki/graph/1_main.py | Jumpscale/jumpscale6_core | 0502ddc1abab3c37ed982c142d21ea3955d471d3 | [
"BSD-2-Clause"
] | 5 | 2016-03-08T07:49:51.000Z | 2018-10-19T13:57:04.000Z |
def main(j, args, params, tags, tasklet):
params.merge(args)
doc = params.doc
tags = params.tags
out = ""
cmdstr = params.macrostr.split(":", 1)[1].replace("}}", "").strip()
md5 = j.base.byteprocessor.hashMd5(cmdstr)
j.system.fs.createDir(j.system.fs.joinPaths(j.core.portal.active.filesro... | 27.428571 | 87 | 0.539063 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.181424 |
02a84eeec97777f61185766e05077d7532adafbc | 232 | py | Python | pyramda/logic/any_pass.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 124 | 2015-07-30T21:34:25.000Z | 2022-02-19T08:45:50.000Z | pyramda/logic/any_pass.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 37 | 2015-08-31T23:02:20.000Z | 2022-02-04T04:45:28.000Z | pyramda/logic/any_pass.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 20 | 2015-08-04T18:59:09.000Z | 2021-12-13T08:08:59.000Z | from pyramda.function.curry import curry
from pyramda.function.always import always
from pyramda.iterable.reduce import reduce
from .either import either
@curry
def any_pass(ps, v):
return reduce(either, always(False), ps)(v)
| 23.2 | 47 | 0.784483 | 0 | 0 | 0 | 0 | 75 | 0.323276 | 0 | 0 | 0 | 0 |
02ab52b832209102ceb109d8aa07a587d3c2d55e | 817 | py | Python | bio/scheduler/views.py | ZuluPro/bio-directory | 4cdd3967e97363f59795d7b0fdb85998029370ff | [
"BSD-2-Clause"
] | null | null | null | bio/scheduler/views.py | ZuluPro/bio-directory | 4cdd3967e97363f59795d7b0fdb85998029370ff | [
"BSD-2-Clause"
] | null | null | null | bio/scheduler/views.py | ZuluPro/bio-directory | 4cdd3967e97363f59795d7b0fdb85998029370ff | [
"BSD-2-Clause"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.utils.timezone import now
from schedule.models import Calendar
from schedule.periods import Day
from bio.scheduler import models
def actions(request):
actions = models.Action.objects.order_by('-created_on')
period = Day(actions, now())
# X... | 31.423077 | 74 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.151775 |
02ac373e21b06fce0640079ee711d2d820229c82 | 1,759 | py | Python | src/undefined/1/try.py | ytyaru0/Python.Sqlite.framework.think.20180305101210 | babb8f55183776a9cbed486613c4a1a7caa6daf2 | [
"CC0-1.0"
] | null | null | null | src/undefined/1/try.py | ytyaru0/Python.Sqlite.framework.think.20180305101210 | babb8f55183776a9cbed486613c4a1a7caa6daf2 | [
"CC0-1.0"
] | null | null | null | src/undefined/1/try.py | ytyaru0/Python.Sqlite.framework.think.20180305101210 | babb8f55183776a9cbed486613c4a1a7caa6daf2 | [
"CC0-1.0"
] | null | null | null | try:
import MyTable
except NameError as e:
print(e)
import importlib
importlib.import_module('Constraints')
# 現在 locals() にある module に Constraints.py モジュールを加える。
# （MyTableにConstraintsを加える。`from Constraints import PK,UK,FK,NN,D,C`する）
# トレースバックで例外発生モジュールを補足
import sys, traceback
exc_t... | 29.316667 | 75 | 0.665151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,091 | 0.537703 |
02aedbb634ecb4773466e66e6c16d7f09a8368bc | 22,797 | py | Python | trac/wiki/tests/admin.py | rjollos/trac | 2bc0edd96b0eace18aaa8a2fe3cbeebdf1a88214 | [
"BSD-3-Clause"
] | null | null | null | trac/wiki/tests/admin.py | rjollos/trac | 2bc0edd96b0eace18aaa8a2fe3cbeebdf1a88214 | [
"BSD-3-Clause"
] | null | null | null | trac/wiki/tests/admin.py | rjollos/trac | 2bc0edd96b0eace18aaa8a2fe3cbeebdf1a88214 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2018-2020 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at https://trac.edgewall.org/wiki/TracLicense.
#
# This software cons... | 37.128664 | 79 | 0.605343 | 21,560 | 0.945738 | 0 | 0 | 0 | 0 | 0 | 0 | 2,064 | 0.090538 |
02aee1a4ed761847d16082b08939ec1e2b7eae92 | 2,646 | py | Python | cli/cli.py | kandrio/toy-chord | c35b02f1e7d7ba44e14a86e1944acc8cee3cd5da | [
"Apache-2.0"
] | null | null | null | cli/cli.py | kandrio/toy-chord | c35b02f1e7d7ba44e14a86e1944acc8cee3cd5da | [
"Apache-2.0"
] | null | null | null | cli/cli.py | kandrio/toy-chord | c35b02f1e7d7ba44e14a86e1944acc8cee3cd5da | [
"Apache-2.0"
] | null | null | null | import click, requests, sys
bootstrap_ip = '192.168.0.2'
bootstrap_port = '8000'
base_url = 'http://' + bootstrap_ip + ':' + bootstrap_port
@click.group()
def toychord():
"""CLI client for toy-chord."""
pass
@toychord.command()
@click.option('--key', required=True, type=str)
@click.option('--value', requir... | 25.941176 | 77 | 0.628118 | 0 | 0 | 0 | 0 | 2,443 | 0.92328 | 0 | 0 | 1,025 | 0.387377 |
02b0025b6adb156b789fef5aff0bf34cd7804353 | 87 | py | Python | sportstrackeranalyzer/plugin_handler/__init__.py | XeBoris/SportsTrackerAnalyzer | f211a9120b9ba91bb04b9742c80d0de7b4143f78 | [
"MIT"
] | 1 | 2021-02-12T08:00:34.000Z | 2021-02-12T08:00:34.000Z | sportstrackeranalyzer/plugin_handler/__init__.py | XeBoris/SportsTrackerAnalyzer | f211a9120b9ba91bb04b9742c80d0de7b4143f78 | [
"MIT"
] | null | null | null | sportstrackeranalyzer/plugin_handler/__init__.py | XeBoris/SportsTrackerAnalyzer | f211a9120b9ba91bb04b9742c80d0de7b4143f78 | [
"MIT"
] | null | null | null | from sportstrackeranalyzer.plugins.plugin_simple_distances import Plugin_SimpleDistance | 87 | 87 | 0.942529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
02b0d90057314fc93b4b1b7ec332876605dcadca | 2,598 | py | Python | migrations/versions/a12e86de073c_.py | ravenscroftj/harri_gttool | 11e8e6b5e8c4bbfc62dc15c7d8b099d4a4fa1a5e | [
"MIT"
] | null | null | null | migrations/versions/a12e86de073c_.py | ravenscroftj/harri_gttool | 11e8e6b5e8c4bbfc62dc15c7d8b099d4a4fa1a5e | [
"MIT"
] | 4 | 2020-06-18T14:38:26.000Z | 2021-12-13T19:54:55.000Z | migrations/versions/a12e86de073c_.py | ravenscroftj/harri_gttool | 11e8e6b5e8c4bbfc62dc15c7d8b099d4a4fa1a5e | [
"MIT"
] | null | null | null | """Initial creation of schema
Revision ID: a12e86de073c
Revises:
Create Date: 2018-01-05 13:42:18.768932
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a12e86de073c'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### comma... | 36.591549 | 90 | 0.681678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 856 | 0.329484 |
02b1a17a92fa82b80990e63f3f0d4e50c1738b1c | 5,106 | py | Python | takedown/__init__.py | zsxing99/Takedown-script | fcd0533ab71a1198651a6e53cd1d58039d4fa7fd | [
"MIT"
] | 1 | 2021-01-06T00:23:03.000Z | 2021-01-06T00:23:03.000Z | takedown/__init__.py | zsxing99/Takedown-script | fcd0533ab71a1198651a6e53cd1d58039d4fa7fd | [
"MIT"
] | 4 | 2020-11-09T06:01:25.000Z | 2020-12-17T06:39:30.000Z | takedown/__init__.py | zsxing99/Takedown-script | fcd0533ab71a1198651a6e53cd1d58039d4fa7fd | [
"MIT"
] | null | null | null | """
TakeDown v0.0.1
===============
author: Zesheng Xing
email: zsxing@ucdavis.edu
This Python project is to help people search on some client hosting contents that potential violate the their copyright.
"""
VERSION = "0.1.0"
DESCRIPTION = "A python script that allows users to search potential copyright violated info... | 60.785714 | 120 | 0.665883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,133 | 0.985032 |
02b1f2bbe7cd1537f8a13eba37e53d713c062a3c | 977 | py | Python | test/test_data.py | xoriath/py-cab | ab02faeaf69578bb9a0874632c610b27a9dd582f | [
"MIT"
] | null | null | null | test/test_data.py | xoriath/py-cab | ab02faeaf69578bb9a0874632c610b27a9dd582f | [
"MIT"
] | null | null | null | test/test_data.py | xoriath/py-cab | ab02faeaf69578bb9a0874632c610b27a9dd582f | [
"MIT"
] | null | null | null |
import os.path
CABEXTRACT_TEST_DIR = os.path.join(os.path.dirname(__file__), 'test-data', 'cabextract', 'cabs')
CABEXTRACT_BUGS_DIR = os.path.join(os.path.dirname(__file__), 'test-data', 'cabextract', 'bugs')
LIBMSPACK_TEST_DIR = os.path.join(os.path.dirname(__file__), 'test-data', 'libmspack')
def read_cabextract_... | 36.185185 | 107 | 0.732856 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.11259 |
02b2af84d188c97a9d4469b8353aba7b18703383 | 141 | py | Python | utils/exception.py | Lolik-Bolik/Hashing_Algorithms | d3ba488cf575fc685d5ea603b1915de4d5fed713 | [
"MIT"
] | 2 | 2020-12-15T20:26:29.000Z | 2020-12-15T20:27:26.000Z | utils/exception.py | Lolik-Bolik/Hashing_Algorithms | d3ba488cf575fc685d5ea603b1915de4d5fed713 | [
"MIT"
] | null | null | null | utils/exception.py | Lolik-Bolik/Hashing_Algorithms | d3ba488cf575fc685d5ea603b1915de4d5fed713 | [
"MIT"
] | null | null | null | """
Exceptions module
"""
class CuckooHashMapFullException(Exception):
"""
Exception raised when filter is full.
"""
pass
| 11.75 | 44 | 0.64539 | 112 | 0.794326 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.553191 |
02b2cd966c362b3581d56d85cfd72c1cf6dfa614 | 1,212 | py | Python | finetwork/plotter/_centrality_metrics.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | 5 | 2021-12-07T22:14:10.000Z | 2022-03-30T14:09:15.000Z | finetwork/plotter/_centrality_metrics.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | null | null | null | finetwork/plotter/_centrality_metrics.py | annakuchko/FinNetwork | 4566ff96b33fb5668f9b28f41a94791d1cf9249c | [
"MIT"
] | null | null | null | import networkx as nx
class _CentralityMetrics:
def __init__(self, G, metrics):
self.G = G
self.metrics = metrics
def _compute_metrics(self):
metrics = self.metrics
if metrics == 'degree_centrality':
c = self.degree_centrality()
elif... | 32.756757 | 72 | 0.615512 | 1,185 | 0.977723 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.099835 |
02b429e1598512b88fa03213426e6cd52e56ec98 | 3,558 | py | Python | filters/incoming_filters.py | juhokokkala/podoco_juhokokkala | 57709c539168b6aaddfc187b3a3610bef63bd68a | [
"MIT"
] | null | null | null | filters/incoming_filters.py | juhokokkala/podoco_juhokokkala | 57709c539168b6aaddfc187b3a3610bef63bd68a | [
"MIT"
] | null | null | null | filters/incoming_filters.py | juhokokkala/podoco_juhokokkala | 57709c539168b6aaddfc187b3a3610bef63bd68a | [
"MIT"
] | null | null | null | ###############################################################################
# Copyright (C) 2016 Juho Kokkala
# This is part of Juho Kokkala's PoDoCo project.
#
# This file is licensed under the MIT License.
###############################################################################
"""
Particle filters for tra... | 29.163934 | 79 | 0.559303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,399 | 0.393198 |
02b49f51a158d139c9f2c3154c3099e5edf9d8c5 | 2,610 | py | Python | model/semantic_gcn.py | AndersonStra/Mucko | f630712ea5be5f3ce995958c050cd7b5398d31e0 | [
"MIT"
] | 2 | 2022-02-23T02:14:49.000Z | 2022-03-23T13:27:44.000Z | model/semantic_gcn.py | AndersonStra/Mucko | f630712ea5be5f3ce995958c050cd7b5398d31e0 | [
"MIT"
] | null | null | null | model/semantic_gcn.py | AndersonStra/Mucko | f630712ea5be5f3ce995958c050cd7b5398d31e0 | [
"MIT"
] | 1 | 2022-03-23T13:27:49.000Z | 2022-03-23T13:27:49.000Z | import torch
import torch.nn.functional as F
from torch import nn
import dgl
import networkx as nx
class SemanticGCN(nn.Module):
def __init__(self, config, in_dim, out_dim, rel_dim):
super(SemanticGCN, self).__init__()
self.config = config
self.gcn1 = SemanticGCNLayer(in_dim, out_dim, rel... | 31.071429 | 93 | 0.576245 | 2,502 | 0.958621 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.121456 |
02b57da73d7345d506383c6f3f8675776637aa80 | 3,808 | py | Python | negentropy/scriptparser.py | shewitt-au/negentropy | 40841e3f7d95f9124f4b59b0d591bf16e57ef312 | [
"MIT"
] | 4 | 2021-07-07T09:49:05.000Z | 2021-11-14T04:17:11.000Z | negentropy/scriptparser.py | shewitt-au/negentropy | 40841e3f7d95f9124f4b59b0d591bf16e57ef312 | [
"MIT"
] | null | null | null | negentropy/scriptparser.py | shewitt-au/negentropy | 40841e3f7d95f9124f4b59b0d591bf16e57ef312 | [
"MIT"
] | 1 | 2020-05-29T18:11:04.000Z | 2020-05-29T18:11:04.000Z | from inspect import cleandoc
from textwrap import indent
from lark import Lark, Transformer
from lark.exceptions import LarkError
from .interval import Interval
from . import errors
def parse(ctx, fname):
with open(fname, "r") as f:
t = f.read()
try:
l = Lark(open(ctx.implfile("s... | 31.471074 | 99 | 0.541754 | 3,212 | 0.843487 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.055147 |
02b58fbea2e6f02fd5c603a709c877e0fd2cae0b | 567 | py | Python | Ex25.py | CarlosDouradoPGR/PythonBR-EstruturasDecs | 727ab33f44c48e2d7026ea85d54791d1885c0bdc | [
"MIT"
] | null | null | null | Ex25.py | CarlosDouradoPGR/PythonBR-EstruturasDecs | 727ab33f44c48e2d7026ea85d54791d1885c0bdc | [
"MIT"
] | null | null | null | Ex25.py | CarlosDouradoPGR/PythonBR-EstruturasDecs | 727ab33f44c48e2d7026ea85d54791d1885c0bdc | [
"MIT"
] | null | null | null | print('Interrogando um suspeito: ')
pg1 = str(input("Telefonou para a vítma?(S/N)\n").upper().strip())
pg2 = str(input('Esteve no local do crime?(S/N)\n').upper().strip())
pg3 = str(input('Mora perto da vítma?(S/N)\n').upper().strip())
pg4 = str(input('Devia para a vítma?(S/N)\n').upper().strip())
pg5 = str(input('Já t... | 31.5 | 68 | 0.611993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.408377 |
02b6186616262617c89a1e33d1bf620cc853ca2d | 334 | py | Python | 28. Implement strStr()/solution.py | alexwhyy/leetcode | 41664aa48137677d2f98817b9c512d76f13c525f | [
"MIT"
] | null | null | null | 28. Implement strStr()/solution.py | alexwhyy/leetcode | 41664aa48137677d2f98817b9c512d76f13c525f | [
"MIT"
] | null | null | null | 28. Implement strStr()/solution.py | alexwhyy/leetcode | 41664aa48137677d2f98817b9c512d76f13c525f | [
"MIT"
] | null | null | null | class Solution:
def strStr(self, haystack: str, needle: str) -> int:
if needle == "":
return 0
for i in range(0, len(haystack) - len(needle) + 1):
print(haystack[i : i + len(needle)], needle)
if haystack[i : i + len(needle)] == needle:
return i
... | 37.111111 | 59 | 0.502994 | 334 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.005988 |
02b6a5972aef51ad1a07e6ff7ba0827ae6cad8a4 | 2,235 | py | Python | t/text_test.py | gsnedders/Template-Python | 4081e4d820c1be0c0448a8dcb79e0703066da099 | [
"Artistic-2.0"
] | null | null | null | t/text_test.py | gsnedders/Template-Python | 4081e4d820c1be0c0448a8dcb79e0703066da099 | [
"Artistic-2.0"
] | 6 | 2015-10-13T13:46:10.000Z | 2019-06-17T09:39:57.000Z | t/text_test.py | gsnedders/Template-Python | 4081e4d820c1be0c0448a8dcb79e0703066da099 | [
"Artistic-2.0"
] | 3 | 2018-12-03T13:15:21.000Z | 2019-03-13T09:12:09.000Z | from template import Template
from template.test import TestCase, main
class Stringy:
def __init__(self, text):
self.text = text
def asString(self):
return self.text
__str__ = asString
class TextTest(TestCase):
def testText(self):
tt = (("basic", Template()),
("interp", Template({ "I... | 14.607843 | 71 | 0.503803 | 486 | 0.21745 | 0 | 0 | 0 | 0 | 0 | 0 | 1,723 | 0.770917 |
02b974ddbd9b73968df839c1e4fdda0cbb8567db | 761 | py | Python | research/destroyer.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | research/destroyer.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | research/destroyer.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 John Carrino
import math
from pprint import pprint
import matplotlib.pyplot as plt
from frispy import Disc
from frispy import Discs
model = Discs.destroyer
mph_to_mps = 0.44704
v = 70 * mph_to_mps
rot = -v / model.diameter * 1.2
x0 = [6, -3, 25]
a, nose_up, hyzer = x0
disc = Disc(model, {"vx": ... | 22.382353 | 112 | 0.638633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.176084 |
02b9d9f46387318db8e53a0fa38e85fa6e870ae5 | 6,200 | py | Python | litex/soc/cores/clock/xilinx_common.py | suarezvictor/litex | d37ef60e70bd0ce8d28079143b6859d8b928395e | [
"ADSL"
] | 1 | 2021-12-25T13:49:55.000Z | 2021-12-25T13:49:55.000Z | litex/soc/cores/clock/xilinx_common.py | suarezvictor/litex | d37ef60e70bd0ce8d28079143b6859d8b928395e | [
"ADSL"
] | 1 | 2022-02-11T14:39:50.000Z | 2022-02-11T22:25:57.000Z | litex/soc/cores/clock/xilinx_common.py | suarezvictor/litex | d37ef60e70bd0ce8d28079143b6859d8b928395e | [
"ADSL"
] | 1 | 2021-12-25T13:49:57.000Z | 2021-12-25T13:49:57.000Z | #
# This file is part of LiteX.
#
# Copyright (c) 2018-2020 Florent Kermarrec <florent@enjoy-digital.fr>
# SPDX-License-Identifier: BSD-2-Clause
from migen import *
from migen.genlib.resetsync import AsyncResetSynchronizer
from litex.build.io import DifferentialInput
from litex.soc.interconnect.csr import *
from li... | 40.25974 | 105 | 0.528226 | 5,740 | 0.925806 | 0 | 0 | 0 | 0 | 0 | 0 | 633 | 0.102097 |
02ba8cd0ea54e5520bfcd504cff7483bc433ed10 | 3,044 | py | Python | my_des/my_des.py | ipid/my-des | 13340481c03113a23263ef824c119b3374028fe2 | [
"MIT"
] | null | null | null | my_des/my_des.py | ipid/my-des | 13340481c03113a23263ef824c119b3374028fe2 | [
"MIT"
] | null | null | null | my_des/my_des.py | ipid/my-des | 13340481c03113a23263ef824c119b3374028fe2 | [
"MIT"
] | null | null | null | __all__ = (
'des_encrypt',
'des_decrypt',
)
from typing import List, Any
from ._tools import *
from ._constant import *
from rich import print
from rich.text import Text
from rich.panel import Panel
def keygen(key: bytes) -> List[List[int]]:
res = []
key = bytes_to_binlist(key)
key = permute_wit... | 30.138614 | 88 | 0.610053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,048 | 0.343832 |
02baf30e1ca8e8d64e8718657b516c4805fddd84 | 1,080 | py | Python | Chromebook/setup.py | mahtuag/DistroSetup | 8fb2b7351ea12163602a9a4c5a7b63fc87f326e2 | [
"Apache-2.0"
] | 3 | 2020-01-12T11:21:47.000Z | 2021-09-16T06:43:22.000Z | Chromebook/setup.py | mahtuag/DistroSetup | 8fb2b7351ea12163602a9a4c5a7b63fc87f326e2 | [
"Apache-2.0"
] | 2 | 2020-07-01T20:46:31.000Z | 2020-07-01T21:10:09.000Z | Chromebook/setup.py | wingedrhino/DistroSetup | 65edfda7dbded113bf5f3e6f53b331fc8aeaf1c5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import subprocess
import apt
import sys
cache = apt.cache.Cache()
cache.update()
cache.open()
packages = [
'git',
'curl',
'wget',
'software-properties-common',
'build-essential',
'automake',
'libtool',
'autoconf',
'pkg-config'... | 18.305085 | 62 | 0.466667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 0.430556 |
02bb2ad5f8635de13653c1ed22f4978ec39fcfc6 | 377 | py | Python | performance_test.py | alan-augustine/python_singly_linkedlist | f227a4154b22de8a273d319ecdd6329035d5d258 | [
"MIT"
] | null | null | null | performance_test.py | alan-augustine/python_singly_linkedlist | f227a4154b22de8a273d319ecdd6329035d5d258 | [
"MIT"
] | null | null | null | performance_test.py | alan-augustine/python_singly_linkedlist | f227a4154b22de8a273d319ecdd6329035d5d258 | [
"MIT"
] | null | null | null | from time import time
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))
from singly_linkedlist.singly_linkedlist import SinglyLinkedList
start = time()
linked_list = SinglyLinkedList()
for i in range(100000):
linked_list.insert_head(111111111111)
end = time()
print("Took {0} sec... | 23.5625 | 64 | 0.774536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.140584 |
02bdc143ddedce60ffc59109acab68856a9f8737 | 561 | py | Python | python/leetcode/0001.py | bluewaitor/playground | 330266ce28212dc5e32b0276c896f9ceffd35bf5 | [
"MIT"
] | null | null | null | python/leetcode/0001.py | bluewaitor/playground | 330266ce28212dc5e32b0276c896f9ceffd35bf5 | [
"MIT"
] | null | null | null | python/leetcode/0001.py | bluewaitor/playground | 330266ce28212dc5e32b0276c896f9ceffd35bf5 | [
"MIT"
] | null | null | null | # 1. 两数之和
from typing import List, Optional
class Solution:
def twoSum(self, nums: List[int], target: int) -> Optional[List[int]]:
index_map = {}
for index, value in enumerate(nums):
index_map[value] = index
for index, value in enumerate(nums):
remain = target - val... | 28.05 | 74 | 0.593583 | 413 | 0.725835 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.047452 |
02bea4753652cd78237dd184ed6e67ea923d42ea | 454 | py | Python | dataprocess/print_msg.py | lifelong-robotic-vision/openloris-scene-tools | ce6a4839f618bf036d3f3dbae14561bfc7413641 | [
"MIT"
] | 13 | 2021-03-27T15:49:21.000Z | 2022-03-19T13:26:30.000Z | dataprocess/print_msg.py | lifelong-robotic-vision/openloris-scene-tools | ce6a4839f618bf036d3f3dbae14561bfc7413641 | [
"MIT"
] | 4 | 2021-03-30T10:40:43.000Z | 2022-03-28T01:36:57.000Z | dataprocess/print_msg.py | lifelong-robotic-vision/openloris-scene-tools | ce6a4839f618bf036d3f3dbae14561bfc7413641 | [
"MIT"
] | 1 | 2022-02-16T13:42:32.000Z | 2022-02-16T13:42:32.000Z | #!/usr/bin/env python2
import rosbag
import sys
filename = sys.argv[1]
topics = sys.argv[2:]
with rosbag.Bag(filename) as bag:
for topic, msg, t in bag.read_messages(topics):
print('%s @%.7f ----------------------------' % (topic, t.to_sec()))
print(msg)
print('Press ENTER to continue')
... | 25.222222 | 76 | 0.497797 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.189427 |
02beda4568a4663c141bf81401d0595971779e3a | 1,011 | py | Python | alegra/resources/invoice.py | okchaty/alegra | 6c423b23a24650c9121da5f165f6f03669b98468 | [
"MIT"
] | 1 | 2022-03-31T03:44:50.000Z | 2022-03-31T03:44:50.000Z | alegra/resources/invoice.py | okchaty/alegra | 6c423b23a24650c9121da5f165f6f03669b98468 | [
"MIT"
] | 4 | 2020-03-24T17:54:03.000Z | 2021-06-02T00:48:50.000Z | alegra/resources/invoice.py | okchaty/alegra | 6c423b23a24650c9121da5f165f6f03669b98468 | [
"MIT"
] | null | null | null | from alegra.api_requestor import APIRequestor
from alegra.resources.abstract import CreateableAPIResource
from alegra.resources.abstract import EmailableAPIResource
from alegra.resources.abstract import ListableAPIResource
from alegra.resources.abstract import UpdateableAPIResource
from alegra.resources.abstract impor... | 29.735294 | 68 | 0.681503 | 666 | 0.658754 | 0 | 0 | 484 | 0.478734 | 0 | 0 | 24 | 0.023739 |
02bf002db0ba833a4cef03b49b9c37dba336934d | 244 | py | Python | dask_ml/model_selection.py | lesteve/dask-ml | 0aca19c545be5c27bedcfbab5554b4ba39a6d754 | [
"BSD-3-Clause"
] | 1 | 2020-12-01T13:20:05.000Z | 2020-12-01T13:20:05.000Z | dask_ml/model_selection.py | lesteve/dask-ml | 0aca19c545be5c27bedcfbab5554b4ba39a6d754 | [
"BSD-3-Clause"
] | null | null | null | dask_ml/model_selection.py | lesteve/dask-ml | 0aca19c545be5c27bedcfbab5554b4ba39a6d754 | [
"BSD-3-Clause"
] | null | null | null | """Utilities for hyperparameter optimization.
These estimators will operate in parallel. Their scalability depends
on the underlying estimators being used.
"""
from dask_searchcv.model_selection import GridSearchCV, RandomizedSearchCV # noqa
| 34.857143 | 82 | 0.831967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.680328 |
02c06f0c429f92d5e5a68c4d5f561cf2b85e43c8 | 23 | py | Python | code/sample_2-1-9.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | 1 | 2022-03-29T13:50:12.000Z | 2022-03-29T13:50:12.000Z | code/sample_2-1-9.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | null | null | null | code/sample_2-1-9.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | null | null | null | x = 5
y = 6
print(x*y)
| 5.75 | 10 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
02c10165e05312844fa4ea1cd0be76da5bd780bb | 2,521 | py | Python | whatrecord/tests/test_stcmd.py | ZLLentz/whatrecord | 9f15da79e3063a64dbe6bb9678dbf52ebad46680 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-09-15T20:32:04.000Z | 2021-12-17T16:46:10.000Z | whatrecord/tests/test_stcmd.py | ZLLentz/whatrecord | 9f15da79e3063a64dbe6bb9678dbf52ebad46680 | [
"BSD-3-Clause-LBNL"
] | 92 | 2021-04-02T16:42:24.000Z | 2022-03-31T22:24:52.000Z | whatrecord/tests/test_stcmd.py | ZLLentz/whatrecord | 9f15da79e3063a64dbe6bb9678dbf52ebad46680 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-04-01T20:48:42.000Z | 2021-09-08T18:51:34.000Z | import pytest
from ..iocsh import IocshRedirect, IocshSplit, split_words
@pytest.mark.parametrize(
"line, expected",
[
pytest.param(
"""dbLoadRecords(a, "b", "c")""",
["dbLoadRecords", "a", "b", "c"],
id="basic_paren"
),
pytest.param(
"... | 28.977011 | 77 | 0.410948 | 0 | 0 | 0 | 0 | 2,444 | 0.969457 | 0 | 0 | 511 | 0.202697 |
02c18f6d2d3ebb8100e01a783419de97602121b6 | 1,723 | py | Python | code/generateElevationFile.py | etcluvic/sme.altm | ffdb51d380a6b8cd8073d5ef3bd6fd15fa0779ea | [
"CC-BY-4.0"
] | null | null | null | code/generateElevationFile.py | etcluvic/sme.altm | ffdb51d380a6b8cd8073d5ef3bd6fd15fa0779ea | [
"CC-BY-4.0"
] | null | null | null | code/generateElevationFile.py | etcluvic/sme.altm | ffdb51d380a6b8cd8073d5ef3bd6fd15fa0779ea | [
"CC-BY-4.0"
] | null | null | null | from bs4 import BeautifulSoup
from datetime import datetime
from lxml import etree
import time
import codecs
import pickle
import os
def printSeparator(character, times):
print(character * times)
if __name__ == '__main__':
doiPrefix = '10.7202' #erudit's doi prefix
myTime = datetime.now().strftime('%Y-%m-%d_... | 22.671053 | 89 | 0.663958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.262914 |
02c1ec959e5357766a542721519334ad6dee8666 | 49,071 | py | Python | MilightWifiBridge/MilightWifiBridge.py | K-Stefan/Milight-Wifi-Bridge-3.0-Python-Library | bcaf1e3a67ed56d9cedc3370d4b4d688f5d4b4fb | [
"MIT"
] | null | null | null | MilightWifiBridge/MilightWifiBridge.py | K-Stefan/Milight-Wifi-Bridge-3.0-Python-Library | bcaf1e3a67ed56d9cedc3370d4b4d688f5d4b4fb | [
"MIT"
] | null | null | null | MilightWifiBridge/MilightWifiBridge.py | K-Stefan/Milight-Wifi-Bridge-3.0-Python-Library | bcaf1e3a67ed56d9cedc3370d4b4d688f5d4b4fb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Milight 3.0 (LimitlessLED Wifi Bridge v6.0) library: Control wireless lights (Milight 3.0) with Wifi
Note that this library was tested with Milight Wifi iBox v1 and RGBW lights. It should work with any other
lights and bridge using Milight 3.0 / LimitlessLED v6.... | 37.090703 | 163 | 0.610646 | 24,806 | 0.505512 | 0 | 0 | 4,706 | 0.095902 | 0 | 0 | 23,467 | 0.478225 |
02c2fced0a87e7a137014b222d4278f9278017f9 | 2,602 | py | Python | Homework/HW5/Test.py | zhufyaxel/ML_SaltyFish | 84b839fa236c471e1fa8600093f0096ff79e4097 | [
"MIT"
] | null | null | null | Homework/HW5/Test.py | zhufyaxel/ML_SaltyFish | 84b839fa236c471e1fa8600093f0096ff79e4097 | [
"MIT"
] | null | null | null | Homework/HW5/Test.py | zhufyaxel/ML_SaltyFish | 84b839fa236c471e1fa8600093f0096ff79e4097 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from Base import Train, Predict
def getTest(boolNormalize, boolDeep, boolBias, strProjectFolder):
if boolNormalize:
if boolDeep:
strOutputPath = "02-Output/" + "Deep" + "Normal"
else:
if boolBias:
strOutputPa... | 35.643836 | 104 | 0.65834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.11568 |