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1c7029d58f3d83ba1ff6470775aed8811fcd0cda | 1,618 | py | Python | examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | 1 | 2021-01-31T19:16:29.000Z | 2021-01-31T19:16:29.000Z | examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets/intro_tutorial/advanced/scheduling/scheduler.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | 1 | 2021-12-08T18:13:19.000Z | 2021-12-08T18:13:19.000Z | # start_scheduler_marker_0
# end_scheduler_marker_0
# start_scheduler_marker_1
# end_scheduler_marker_1
# start_scheduler_marker_2
# end_scheduler_marker_2
# start_scheduler_marker_3
# end_scheduler_marker_3
# start_scheduler_marker_4
# end_scheduler_marker_4
| 23.114286 | 75 | 0.721261 | # start_scheduler_marker_0
import csv
from datetime import datetime
import requests
from dagster import get_dagster_logger, job, op, repository, schedule
@op
def hello_cereal(context):
response = requests.get("https://docs.dagster.io/assets/cereal.csv")
lines = response.text.split("\n")
cereals = [row fo... | 0 | 963 | 0 | 0 | 0 | 117 | 0 | 39 | 223 |
17b1dff8fe64ef2da095afccaa9e3fdd5b49ac2c | 5,483 | py | Python | webmachine/auth/oauth_res.py | benoitc/dj-webmachine | 77653d73de57388b712eaf50de8c32ec70c182fa | [
"MIT"
] | 6 | 2015-03-29T03:17:53.000Z | 2020-01-21T11:09:26.000Z | webmachine/auth/oauth_res.py | benoitc/dj-webmachine | 77653d73de57388b712eaf50de8c32ec70c182fa | [
"MIT"
] | 1 | 2015-05-28T11:32:44.000Z | 2015-05-28T11:32:44.000Z | webmachine/auth/oauth_res.py | benoitc/dj-webmachine | 77653d73de57388b712eaf50de8c32ec70c182fa | [
"MIT"
] | 4 | 2015-05-20T20:53:02.000Z | 2019-11-12T19:46:07.000Z | # -*- coding: utf-8 -
#
# This file is part of dj-webmachine released under the MIT license.
# See the NOTICE for more information.
try:
except ImportError:
raise ImportError("restkit>=3.0.2 package is needed for auth.")
| 32.443787 | 82 | 0.590188 | # -*- coding: utf-8 -
#
# This file is part of dj-webmachine released under the MIT license.
# See the NOTICE for more information.
from django.template import loader, RequestContext
from django.utils.encoding import iri_to_uri
try:
from restkit import oauth2
except ImportError:
raise ImportError("restkit>=3.... | 0 | 0 | 0 | 4,942 | 0 | 0 | 0 | 153 | 161 |
b7fb6d55ddc310c89f7dd03fe9fc2ce8f6e8528e | 1,623 | py | Python | commands/dns.py | thexmarat/routeros-scanner | 8587493c243572218b5a7778d8bcbc698464856b | [
"MIT"
] | null | null | null | commands/dns.py | thexmarat/routeros-scanner | 8587493c243572218b5a7778d8bcbc698464856b | [
"MIT"
] | null | null | null | commands/dns.py | thexmarat/routeros-scanner | 8587493c243572218b5a7778d8bcbc698464856b | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
| 27.508475 | 113 | 0.550216 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from commands.basecommand import BaseCommand
import re
class DNS(BaseCommand):
def __init__(self):
self.__name__ = 'DNS Cache'
def run_ssh(self, sshc):
data = self._ssh_data(sshc, '/ip dns print')
enabled = 'allo... | 0 | 0 | 0 | 1,087 | 0 | 354 | 0 | 11 | 91 |
1c2e6507af08539c77c856e95f6d4852bc06d2f2 | 9,590 | py | Python | tests/test_integration.py | repo-helper/formate | 45e4b4fe29af144db714ea90c92cf6e7035ae301 | [
"MIT"
] | 1 | 2022-03-19T07:39:58.000Z | 2022-03-19T07:39:58.000Z | tests/test_integration.py | repo-helper/formate | 45e4b4fe29af144db714ea90c92cf6e7035ae301 | [
"MIT"
] | 14 | 2021-01-25T23:10:04.000Z | 2021-06-29T19:55:38.000Z | tests/test_integration.py | repo-helper/formate | 45e4b4fe29af144db714ea90c92cf6e7035ae301 | [
"MIT"
] | null | null | null | # stdlib
import re
# 3rd party
# this package
path_sub = re.compile(rf" .*/pytest-of-.*/pytest-\d+")
| 25.710456 | 96 | 0.727216 | # stdlib
import re
from typing import Union, no_type_check
# 3rd party
import click
import pytest
from _pytest.capture import CaptureResult
from coincidence.regressions import AdvancedDataRegressionFixture, AdvancedFileRegressionFixture
from coincidence.selectors import max_version, min_version, not_pypy, only_pypy
fr... | 0 | 4,095 | 0 | 0 | 0 | 4,515 | 0 | 300 | 563 |
e784dd55930201f54c11184d662dda78259fd84c | 7,049 | py | Python | lib/model.py | behzadzarfsaz/DualMemoryLearning | 924905ea14466ac60589e71ff5df6e33e98b6d92 | [
"MIT"
] | null | null | null | lib/model.py | behzadzarfsaz/DualMemoryLearning | 924905ea14466ac60589e71ff5df6e33e98b6d92 | [
"MIT"
] | null | null | null | lib/model.py | behzadzarfsaz/DualMemoryLearning | 924905ea14466ac60589e71ff5df6e33e98b6d92 | [
"MIT"
] | null | null | null | import logging
import shutil
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("Model")
terminal_columns = shutil.get_terminal_size().columns // 2
| 42.981707 | 110 | 0.55483 | import copy
import logging
import shutil
from math import exp
import numpy as np
from sklearn.preprocessing import StandardScaler, normalize
from sklearn.utils import shuffle
from tqdm import trange
from lib.bqueue import Bqueue
from lib.dnn import Dnn
from lib.helper import Helper
from lib.som import SOM
logging.basi... | 0 | 105 | 0 | 6,477 | 0 | 0 | 0 | 58 | 243 |
b85ee2815f52bf02efa5142a630bf19bd92d2932 | 179 | py | Python | tests/project/app/urls.py | j4mie/django-kronos | 71d90a67eb73e9c28666e77611466062ff3e3dda | [
"MIT"
] | 1 | 2015-11-05T11:45:52.000Z | 2015-11-05T11:45:52.000Z | tests/project/app/urls.py | j4mie/django-kronos | 71d90a67eb73e9c28666e77611466062ff3e3dda | [
"MIT"
] | null | null | null | tests/project/app/urls.py | j4mie/django-kronos | 71d90a67eb73e9c28666e77611466062ff3e3dda | [
"MIT"
] | null | null | null |
from views import home
urlpatterns = patterns('',
url(r'^$', home, name='home'),
url('fandjango/', include('fandjango.urls'))
)
| 17.9 | 48 | 0.659218 | from django.conf.urls.defaults import *
from views import home
urlpatterns = patterns('',
url(r'^$', home, name='home'),
url('fandjango/', include('fandjango.urls'))
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 22 |
c39eec60b57532ade429a9e3594f24af68db932e | 19,140 | py | Python | pychess/Players/PyChessCECP.py | jacobchrismarsh/chess_senior_project | 7797b1f96fda5d4d268224a21e54a744d17e7b81 | [
"MIT"
] | null | null | null | pychess/Players/PyChessCECP.py | jacobchrismarsh/chess_senior_project | 7797b1f96fda5d4d268224a21e54a744d17e7b81 | [
"MIT"
] | 40 | 2019-05-04T04:46:31.000Z | 2022-02-26T10:37:51.000Z | pychess/Players/PyChessCECP.py | jacobchrismarsh/chess_senior_project | 7797b1f96fda5d4d268224a21e54a744d17e7b81 | [
"MIT"
] | null | null | null | import sys
if sys.platform != "win32":
import readline
readline.clear_history()
ASCII = sys.platform == "win32"
| 38.05169 | 95 | 0.446708 | import re
import signal
import sys
from threading import Thread
import pychess
from pychess.Players.PyChess import PyChess
from pychess.System import conf, fident
from pychess.Utils.book import getOpenings
from pychess.Utils.const import (
NORMALCHESS,
FEN_START,
BLACK,
FISCHERRANDOMCHESS,
CRAZYHOU... | 0 | 0 | 0 | 17,645 | 0 | 14 | 0 | 869 | 487 |
9fad8fab23d2e89d70ef2d82789107db78ebaf08 | 483 | py | Python | colossalai/nn/layer/parallel_sequence/_utils.py | RichardoLuo/ColossalAI | 797a9dc5a9e801d7499b8667c3ef039a38aa15ba | [
"Apache-2.0"
] | 1,630 | 2021-10-30T01:00:27.000Z | 2022-03-31T23:02:41.000Z | colossalai/nn/layer/parallel_sequence/_utils.py | RichardoLuo/ColossalAI | 797a9dc5a9e801d7499b8667c3ef039a38aa15ba | [
"Apache-2.0"
] | 166 | 2021-10-30T01:03:01.000Z | 2022-03-31T14:19:07.000Z | colossalai/nn/layer/parallel_sequence/_utils.py | RichardoLuo/ColossalAI | 797a9dc5a9e801d7499b8667c3ef039a38aa15ba | [
"Apache-2.0"
] | 253 | 2021-10-30T06:10:29.000Z | 2022-03-31T13:30:06.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
| 30.1875 | 69 | 0.726708 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
def _calc_incoming_device_range(i, rank, world_size, sub_seq_length):
device_of_incoming_k = (rank - i - 1) % world_size
start_idx = sub_seq_length * device_of_incoming_k
end_idx = sub_seq_length * (device_of_incoming_k + 1)
return start_idx, end_idx
d... | 0 | 0 | 0 | 0 | 0 | 387 | 0 | 0 | 46 |
a54633146fadd221f3a0c7ca6783f0b136db02a8 | 438 | py | Python | staticClassMethod/classmethodCustom.py | liangjie18430/flask_test_myself | 8923e058d834d6ab7326f869b945601c13674105 | [
"BSD-3-Clause"
] | null | null | null | staticClassMethod/classmethodCustom.py | liangjie18430/flask_test_myself | 8923e058d834d6ab7326f869b945601c13674105 | [
"BSD-3-Clause"
] | null | null | null | staticClassMethod/classmethodCustom.py | liangjie18430/flask_test_myself | 8923e058d834d6ab7326f869b945601c13674105 | [
"BSD-3-Clause"
] | null | null | null | print(Class2.get_user("test"))
| 27.375 | 53 | 0.623288 | class MyClassMethod(object):
def __init__(self,function):
self.function = function
def __get__(self, instance, type=None):
def wrapper(*args,**kwargs):
print("class method:",type)
return self.function(type,*args,**kwargs)
return wrapper
class Class2(object):
@... | 0 | 65 | 0 | 271 | 0 | 0 | 0 | 0 | 70 |
c863133d1f0fec6fd6c1d9ca24de23ddc72f2fe4 | 543 | py | Python | tests/parser/dictionary/encoder/other/test_ipi_base.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 37 | 2015-04-21T15:33:53.000Z | 2022-02-07T00:02:29.000Z | tests/parser/dictionary/encoder/other/test_ipi_base.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 86 | 2015-02-01T22:26:02.000Z | 2021-07-09T08:49:36.000Z | tests/parser/dictionary/encoder/other/test_ipi_base.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 27 | 2015-01-26T16:01:09.000Z | 2021-11-08T23:53:55.000Z | # -*- coding: utf-8 -*-
"""
Acknowledgement to dictionary encoding tests.
The following cases are tested:
"""
__author__ = 'Bernardo Martnez Garrido'
__license__ = 'MIT'
__status__ = 'Development'
| 20.884615 | 66 | 0.725599 | # -*- coding: utf-8 -*-
import unittest
from cwr.parser.encoder.dictionary import IPIBaseDictionaryEncoder
"""
Acknowledgement to dictionary encoding tests.
The following cases are tested:
"""
__author__ = 'Bernardo Martínez Garrido'
__license__ = 'MIT'
__status__ = 'Development'
class TestIPIBaseEncoding(unitte... | 2 | 0 | 0 | 233 | 0 | 0 | 0 | 39 | 69 |
ed3946252bbf181f1e56534e33e67fe22228f3cb | 1,302 | py | Python | make-examples.py | mattwigway/asu-matplotlib-styles | 1168529d7476ab5519a9754e21243a704f980b8b | [
"CC0-1.0"
] | 1 | 2021-04-09T15:47:19.000Z | 2021-04-09T15:47:19.000Z | make-examples.py | mattwigway/asu-matplotlib-styles | 1168529d7476ab5519a9754e21243a704f980b8b | [
"CC0-1.0"
] | 4 | 2020-05-07T16:57:44.000Z | 2020-05-07T19:12:57.000Z | make-examples.py | mattwigway/asu-matplotlib-styles | 1168529d7476ab5519a9754e21243a704f980b8b | [
"CC0-1.0"
] | null | null | null | # Create example plots for README
create_plot('asu-dark')
create_plot('asu-light')
| 29.590909 | 113 | 0.600614 | # Create example plots for README
import numpy as np
import matplotlib.pyplot as plt
import os.path
def create_plot (style):
# make darn sure we're using the styles from the repo, and not the styles that may be installed on the system
plt.style.use(os.path.join(os.path.dirname(__file__), 'styles', f'{style}.m... | 0 | 0 | 0 | 0 | 0 | 1,127 | 0 | 0 | 90 |
10f7880be68b0fe1ae5479576360e9ca861c278e | 16,979 | py | Python | plugins/imagetools.py | FastmoreCrak/Fantasmas | 1ce7a55b956ccf84660ceb91fdc39fedd0384c2a | [
"CC0-1.0"
] | 1 | 2021-10-04T08:02:29.000Z | 2021-10-04T08:02:29.000Z | plugins/imagetools.py | FastmoreCrak/Fantasmas | 1ce7a55b956ccf84660ceb91fdc39fedd0384c2a | [
"CC0-1.0"
] | null | null | null | plugins/imagetools.py | FastmoreCrak/Fantasmas | 1ce7a55b956ccf84660ceb91fdc39fedd0384c2a | [
"CC0-1.0"
] | null | null | null | # Ultroid - UserBot
# Copyright (C) 2020 TeamUltroid
#
# This file is a part of < https://github.com/TeamUltroid/Ultroid/ >
# PLease read the GNU Affero General Public License in
# <https://www.github.com/TeamUltroid/Ultroid/blob/main/LICENSE/>.
"""
Commands Available -
`{i}grey <reply to any media>`
To make it... | 29.375433 | 85 | 0.586077 | # Ultroid - UserBot
# Copyright (C) 2020 TeamUltroid
#
# This file is a part of < https://github.com/TeamUltroid/Ultroid/ >
# PLease read the GNU Affero General Public License in
# <https://www.github.com/TeamUltroid/Ultroid/blob/main/LICENSE/>.
"""
✘ Commands Available -
• `{i}grey <reply to any media>`
To make ... | 90 | 15,277 | 0 | 0 | 0 | 0 | 0 | 78 | 477 |
0cc45d58110cb6174543a0505e632ae185525ec0 | 1,990 | py | Python | Basics_with_Pytorch/GradientDescent/hw1.py | SoyOscarRH/LearningNeuralNetworks | dd5be94b38b3a0efb3428f76d3416227a92c8265 | [
"MIT"
] | 3 | 2020-01-20T19:56:35.000Z | 2021-09-24T14:47:33.000Z | Basics_with_Pytorch/GradientDescent/hw1.py | SoyOscarRH/LearningNeuralNetworks | dd5be94b38b3a0efb3428f76d3416227a92c8265 | [
"MIT"
] | null | null | null | Basics_with_Pytorch/GradientDescent/hw1.py | SoyOscarRH/LearningNeuralNetworks | dd5be94b38b3a0efb3428f76d3416227a92c8265 | [
"MIT"
] | null | null | null |
x1 = 2.0
x2 = 3.0
ReLu = lambda x: max(0.0, x)
ReLuDer = lambda x: 1 if x > 0 else 0
error_fn = lambda prediction, target: 0.5 * (target - prediction) ** 2
# input
a1 = x1
a2 = x2
w11 = 0.11
w12 = 0.21
w21 = 0.12
w22 = 0.08
w1o = 0.14
w2o = 0.15
y = 1
n = 0.5
# foward
# layer 1
zh1 = (w11 * a1) + (w12 * a2)
zh... | 18.425926 | 71 | 0.682412 |
x1 = 2.0
x2 = 3.0
ReLu = lambda x: max(0.0, x)
ReLuDer = lambda x: 1 if x > 0 else 0
error_fn = lambda prediction, target: 0.5 * (target - prediction) ** 2
# input
a1 = x1
a2 = x2
w11 = 0.11
w12 = 0.21
w21 = 0.12
w22 = 0.08
w1o = 0.14
w2o = 0.15
y = 1
n = 0.5
# foward
# layer 1
zh1 = (w11 * a1) + (w12 * a2)
zh... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5e6ad37894ff484c99a09273a78bac3f081c7374 | 24,618 | py | Python | medcat/cdb.py | HDRUK/MedCAT | 69c36d1da484ad32520a9b3333adf8f6ebfcbde7 | [
"Apache-2.0"
] | null | null | null | medcat/cdb.py | HDRUK/MedCAT | 69c36d1da484ad32520a9b3333adf8f6ebfcbde7 | [
"Apache-2.0"
] | null | null | null | medcat/cdb.py | HDRUK/MedCAT | 69c36d1da484ad32520a9b3333adf8f6ebfcbde7 | [
"Apache-2.0"
] | null | null | null | """ Representation class for CDB data
"""
#from gensim.matutils import unitvec
from medcat.utils.loggers import basic_logger
log = basic_logger("cdb")
| 38.525822 | 140 | 0.575311 | """ Representation class for CDB data
"""
import pickle
import numpy as np
from scipy.sparse import dok_matrix
#from gensim.matutils import unitvec
from medcat.utils.matutils import unitvec, sigmoid
from medcat.utils.attr_dict import AttrDict
from medcat.utils.loggers import basic_logger
import os
import pandas as pd
... | 0 | 543 | 0 | 23,707 | 0 | 0 | 0 | 40 | 176 |
e843de334f3334ef6fcdc8a716988c1da1b98457 | 1,380 | py | Python | tagopsdb/model/ns_vip_binds.py | ifwe/tagopsdb | 5455810cb9ccdd0803975a2513741c43313b1b7d | [
"Apache-2.0"
] | null | null | null | tagopsdb/model/ns_vip_binds.py | ifwe/tagopsdb | 5455810cb9ccdd0803975a2513741c43313b1b7d | [
"Apache-2.0"
] | 1 | 2021-03-25T21:57:08.000Z | 2021-03-25T21:57:08.000Z | tagopsdb/model/ns_vip_binds.py | ifwe/tagopsdb | 5455810cb9ccdd0803975a2513741c43313b1b7d | [
"Apache-2.0"
] | 1 | 2016-08-02T06:05:58.000Z | 2016-08-02T06:05:58.000Z | # Copyright 2016 Ifwe Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 31.363636 | 76 | 0.707971 | # Copyright 2016 Ifwe Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 0 | 0 | 0 | 620 | 0 | 0 | 0 | 73 | 113 |
96554955e1e867ce4e811b1753e447421a931915 | 29,675 | py | Python | python/play.py | 030helios/Kata2Connect5 | e8ace620284b46f4a50fc0582924cbadf32653e7 | [
"MIT"
] | null | null | null | python/play.py | 030helios/Kata2Connect5 | e8ace620284b46f4a50fc0582924cbadf32653e7 | [
"MIT"
] | 1 | 2021-06-03T14:30:04.000Z | 2021-06-03T14:40:32.000Z | python/play.py | 030helios/Kata2Surakarta | e8ace620284b46f4a50fc0582924cbadf32653e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import json
import tensorflow as tf
from model import Model
import common
description = """
Play go with a trained neural net!
Implements a basic GTP engine that uses the neural net directly to play moves.
"""
parser = argparse.ArgumentParser(description=description)
common.add_mode... | 34.505814 | 171 | 0.658635 | #!/usr/bin/python3
import sys
import os
import argparse
import traceback
import random
import math
import time
import re
import logging
import colorsys
import json
import tensorflow as tf
import numpy as np
from board import Board
from model import Model
import common
description = """
Play go with a trained neural n... | 0 | 0 | 0 | 159 | 0 | 26,063 | 0 | -82 | 494 |
e1f2ff87b306b5118c6404d2e8d28e29a993265e | 1,832 | py | Python | stim_amplitude_scan.py | maxnolte/deciphering_variability | bea48cc3c04e63f3acdd1b86563eb792358c91a8 | [
"MIT"
] | 2 | 2020-04-22T12:02:32.000Z | 2021-06-21T17:35:15.000Z | stim_amplitude_scan.py | maxnolte/deciphering_variability | bea48cc3c04e63f3acdd1b86563eb792358c91a8 | [
"MIT"
] | null | null | null | stim_amplitude_scan.py | maxnolte/deciphering_variability | bea48cc3c04e63f3acdd1b86563eb792358c91a8 | [
"MIT"
] | 3 | 2019-09-26T07:32:50.000Z | 2021-06-21T17:35:29.000Z | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42
import bluepy
variances = ['0p001', '0p01', '0p05', '0p1', '0p5', '1p0', '1p5', '2p0', '10p0']
bcs = ['/gpfs/bbp.cscs.ch/project/proj9/simulations/nolte/variability/spontaneous/base_seeds_abc... | 36.64 | 161 | 0.686681 | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42
import bluepy
variances = ['0p001', '0p01', '0p05', '0p1', '0p5', '1p0', '1p5', '2p0', '10p0']
bcs = ['/gpfs/bbp.cscs.ch/project/proj9/simulations/nolte/variability/spontaneous/base_seeds_abc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
761606c02fc534ca8cbdc3d2fa43d7330287a1ad | 5,312 | py | Python | opengenomebrowser_tools/init_database.py | opengenomebrowser/opengenomebrowser-tools | b6ef2340b2fd67a61373d1d8a0f3ef71cc892d1e | [
"MIT"
] | null | null | null | opengenomebrowser_tools/init_database.py | opengenomebrowser/opengenomebrowser-tools | b6ef2340b2fd67a61373d1d8a0f3ef71cc892d1e | [
"MIT"
] | null | null | null | opengenomebrowser_tools/init_database.py | opengenomebrowser/opengenomebrowser-tools | b6ef2340b2fd67a61373d1d8a0f3ef71cc892d1e | [
"MIT"
] | null | null | null | import os
import json
import shutil
from .utils import PACKAGE_ROOT
from . import __folder_structure_version__
def init_database(database_dir: str = None) -> None:
"""
Creates a basic OpenGenomeBrowser folders structure.
Result:
database
organisms
annotations.json
an... | 35.413333 | 144 | 0.650414 | import os
import json
import shutil
from urllib import request
from .utils import PACKAGE_ROOT
from . import __folder_structure_version__
def download_go_data(out: str) -> None:
source_url = 'http://purl.obolibrary.org/obo/go.obo'
print(f'Converting {source_url} -> {out}')
def go_generator(io) -> [str]:... | 123 | 0 | 0 | 0 | 1,396 | 1,274 | 0 | 5 | 114 |
53ba41eb81896191d5d26dcb15844fd97e74a3e7 | 6,272 | py | Python | frictionless/file.py | augusto-herrmann/frictionless-py | b4ff35f064141a2c04882edb592666ca6b066776 | [
"MIT"
] | 1 | 2021-11-08T22:29:30.000Z | 2021-11-08T22:29:30.000Z | frictionless/file.py | augusto-herrmann/frictionless-py | b4ff35f064141a2c04882edb592666ca6b066776 | [
"MIT"
] | null | null | null | frictionless/file.py | augusto-herrmann/frictionless-py | b4ff35f064141a2c04882edb592666ca6b066776 | [
"MIT"
] | null | null | null |
# NOTE:
# For better detection we can add an argument allowing metadata reading
# Exact set of file types needs to be reviewed
| 30.595122 | 87 | 0.557398 | import os
import glob
from pathlib import Path
from .helpers import cached_property
from . import helpers
from . import config
# NOTE:
# For better detection we can add an argument allowing metadata reading
# Exact set of file types needs to be reviewed
class File:
"""File representation"""
def __init__(se... | 0 | 716 | 0 | 5,276 | 0 | 0 | 0 | -5 | 155 |
bc521fe8e156c2bea30c143fc4f2a1b5f920fe18 | 4,919 | py | Python | data/parsers/spain.py | hdsheena/covid19_scenarios | ea67a75a99c20b0948ef6d377bc6cfbec6e670b5 | [
"MIT"
] | 1,550 | 2020-03-10T13:18:53.000Z | 2022-03-29T13:48:11.000Z | data/parsers/spain.py | hdsheena/covid19_scenarios | ea67a75a99c20b0948ef6d377bc6cfbec6e670b5 | [
"MIT"
] | 835 | 2020-03-09T21:52:19.000Z | 2022-02-02T08:06:21.000Z | data/parsers/spain.py | hdsheena/covid19_scenarios | ea67a75a99c20b0948ef6d377bc6cfbec6e670b5 | [
"MIT"
] | 444 | 2020-03-13T03:24:13.000Z | 2021-11-15T19:08:53.000Z |
# ------------------------------------------------------------------------
# Globals
deaths_URL = "https://raw.githubusercontent.com/datadista/datasets/master/COVID%2019/ccaa_covid19_fallecidos.csv"
cases_URL = "https://raw.githubusercontent.com/datadista/datasets/master/COVID%2019/ccaa_covid19_casos.csv... | 46.847619 | 143 | 0.544623 | import sys
import requests
import csv
import io
from datetime import datetime
from collections import defaultdict
from .utils import store_data, stoi
# ------------------------------------------------------------------------
# Globals
deaths_URL = "https://raw.githubusercontent.com/datadista/datasets/master/CO... | 2 | 0 | 0 | 0 | 0 | 3,901 | 0 | -4 | 178 |
a104266d8b0c9acf1fa4b9cf1a58128f80fb8476 | 6,749 | py | Python | src/pymor/discretizers/advection.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | src/pymor/discretizers/advection.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | src/pymor/discretizers/advection.py | JuliaBru/pymor | 46343b527267213f4279ea36f208b542ab291c4e | [
"Unlicense"
] | null | null | null | # This file is part of the pyMOR project (http://www.pymor.org).
# Copyright 2013-2016 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
import numpy as np
from pymor.algorithms.timestepping import ExplicitEulerTimeStepper
from pymor.... | 50.365672 | 120 | 0.659061 | # This file is part of the pyMOR project (http://www.pymor.org).
# Copyright 2013-2016 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
import numpy as np
from pymor.algorithms.timestepping import ExplicitEulerTimeStepper
from pymor.... | 0 | 0 | 0 | 0 | 0 | 305 | 0 | 96 | 30 |
076f222cfcfc72e18413b42acd4e53e8930fdab1 | 2,403 | py | Python | misc-code/adventure_items.py | cctechwiz-teaching/python-code-camp | 1453bebe44d66f27558eb6204fbf4d5f08cc756e | [
"MIT"
] | 2 | 2019-06-22T17:13:16.000Z | 2019-06-22T17:13:17.000Z | misc-code/adventure_items.py | cctechwiz-teaching/python-code-camp | 1453bebe44d66f27558eb6204fbf4d5f08cc756e | [
"MIT"
] | null | null | null | misc-code/adventure_items.py | cctechwiz-teaching/python-code-camp | 1453bebe44d66f27558eb6204fbf4d5f08cc756e | [
"MIT"
] | null | null | null | """
object_adventure.py
A text adventure with objects you can pick up and put down.
"""
# data setup
rooms = {
'empty': {'name': 'an empty room',
'east': 'bedroom', 'north': 'temple',
'contents': [],
'text': 'The stone floors and walls are cold and damp.'},
'temple': {'name': 'a sma... | 33.375 | 108 | 0.56804 | """
object_adventure.py
A text adventure with objects you can pick up and put down.
"""
# data setup
rooms = {
'empty': {'name': 'an empty room',
'east': 'bedroom', 'north': 'temple',
'contents': [],
'text': 'The stone floors and walls are cold and damp.'},
'temple': {'name': 'a sma... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b9d26720cda64f817643aa05a92dd1452685e67 | 17,109 | py | Python | python/graphscope/nx/classes/cache.py | lnfjpt/GraphScope | 917146f86d8387302a2e1de6963115e7568bf3ee | [
"Apache-2.0"
] | 1 | 2021-12-30T02:55:16.000Z | 2021-12-30T02:55:16.000Z | python/graphscope/nx/classes/cache.py | lnfjpt/GraphScope | 917146f86d8387302a2e1de6963115e7568bf3ee | [
"Apache-2.0"
] | null | null | null | python/graphscope/nx/classes/cache.py | lnfjpt/GraphScope | 917146f86d8387302a2e1de6963115e7568bf3ee | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020 Alibaba Group Holding Limited. 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... | 35.867925 | 88 | 0.614004 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020 Alibaba Group Holding Limited. 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... | 0 | 2,352 | 0 | 11,255 | 0 | 0 | 0 | 38 | 112 |
e96b8708dc8be78814c697d042595105e2d873c2 | 80 | py | Python | Getting_Started_With_Raspberry_Pi_Pico/variable/code.py | gamblor21/Adafruit_Learning_System_Guides | f5dab4a758bc82d0bfc3c299683fe89dc093912a | [
"MIT"
] | 665 | 2017-09-27T21:20:14.000Z | 2022-03-31T09:09:25.000Z | Getting_Started_With_Raspberry_Pi_Pico/variable/code.py | gamblor21/Adafruit_Learning_System_Guides | f5dab4a758bc82d0bfc3c299683fe89dc093912a | [
"MIT"
] | 641 | 2017-10-03T19:46:37.000Z | 2022-03-30T18:28:46.000Z | Getting_Started_With_Raspberry_Pi_Pico/variable/code.py | gamblor21/Adafruit_Learning_System_Guides | f5dab4a758bc82d0bfc3c299683fe89dc093912a | [
"MIT"
] | 734 | 2017-10-02T22:47:38.000Z | 2022-03-30T14:03:51.000Z | """Example of assigning a variable."""
user_name = input("What is your name? ")
| 26.666667 | 40 | 0.6875 | """Example of assigning a variable."""
user_name = input("What is your name? ")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ba26ee36cc7ff86ae625d2c3ea20dd09a7c5df07 | 10,605 | py | Python | generator/verify/verification.py | biarmic/OpenCache | bb9e110e434deb83900de328cc76b63901ba582f | [
"BSD-3-Clause"
] | 5 | 2021-09-15T18:29:49.000Z | 2022-03-26T04:41:01.000Z | generator/verify/verification.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | generator/verify/verification.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE for licensing information.
#
# Copyright (c) 2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
| 37.341549 | 107 | 0.587553 | # See LICENSE for licensing information.
#
# Copyright (c) 2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import os
import datetime
from shutil import copyfile... | 0 | 0 | 0 | 10,019 | 0 | 0 | 0 | 54 | 265 |
93162a2be83d4a32945d947bbd5f1a2645032e31 | 9,075 | py | Python | pyfr/readers/gmsh.py | synthetik-technologies/PyFR | 9d4d5e96a8a9d5ca47970ec197b251ae8b0ecdda | [
"BSD-3-Clause"
] | 1 | 2020-06-23T16:37:06.000Z | 2020-06-23T16:37:06.000Z | pyfr/readers/gmsh.py | synthetik-technologies/PyFR | 9d4d5e96a8a9d5ca47970ec197b251ae8b0ecdda | [
"BSD-3-Clause"
] | null | null | null | pyfr/readers/gmsh.py | synthetik-technologies/PyFR | 9d4d5e96a8a9d5ca47970ec197b251ae8b0ecdda | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
| 33.241758 | 78 | 0.523747 | # -*- coding: utf-8 -*-
from collections import defaultdict
import re
import numpy as np
from pyfr.readers import BaseReader, NodalMeshAssembler
from pyfr.readers.nodemaps import GmshNodeMaps
def msh_section(mshit, section):
endln = '$End{}\n'.format(section)
endix = int(next(mshit)) - 1
for i, l in e... | 0 | 0 | 0 | 8,419 | 413 | 0 | 0 | 58 | 159 |
b4da4a65d4e00689281ae22f04447e598748b518 | 246 | py | Python | tests/conftest.py | stephen-bunn/tomlark | 5554801b1bccac2f780770e60ebd8f15e996d89d | [
"0BSD"
] | null | null | null | tests/conftest.py | stephen-bunn/tomlark | 5554801b1bccac2f780770e60ebd8f15e996d89d | [
"0BSD"
] | null | null | null | tests/conftest.py | stephen-bunn/tomlark | 5554801b1bccac2f780770e60ebd8f15e996d89d | [
"0BSD"
] | null | null | null | # -*- encoding: utf-8 -*-
# Copyright (c) 2019 Stephen Bunn <stephen@bunn.io>
# ISC License <https://opensource.org/licenses/isc>
"""
"""
| 15.375 | 51 | 0.686992 | # -*- encoding: utf-8 -*-
# Copyright (c) 2019 Stephen Bunn <stephen@bunn.io>
# ISC License <https://opensource.org/licenses/isc>
"""
"""
import pytest
from tomlark.parser import Parser
@pytest.fixture
def toml_parser():
return Parser()
| 0 | 33 | 0 | 0 | 0 | 0 | 0 | 4 | 69 |
a442d4a0784271f2955bb9cc4bd3cd28feea0760 | 67 | py | Python | glft2vmd/constants.py | Sage-of-Mirrors/gltf2vmd | 76aa5ae25785f8de50351daa27a5b986daa781f0 | [
"MIT"
] | null | null | null | glft2vmd/constants.py | Sage-of-Mirrors/gltf2vmd | 76aa5ae25785f8de50351daa27a5b986daa781f0 | [
"MIT"
] | 6 | 2019-02-05T03:35:26.000Z | 2019-02-07T05:44:15.000Z | glft2vmd/constants.py | Sage-of-Mirrors/gltf2vmd | 76aa5ae25785f8de50351daa27a5b986daa781f0 | [
"MIT"
] | null | null | null | VERSION = 1 # The version number of the format
SECTION_COUNT = 14
| 22.333333 | 47 | 0.746269 | VERSION = 1 # The version number of the format
SECTION_COUNT = 14
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b9afc7b9248105d7d8416827b48e86831ababb9 | 548 | py | Python | easy/problem118/solution.py | cutoutsy/leetcode | 0734f1060a0340370b8234e8072d70c10d4306d9 | [
"Apache-2.0"
] | 1 | 2018-02-25T03:45:04.000Z | 2018-02-25T03:45:04.000Z | easy/problem118/solution.py | cutoutsy/leetcode | 0734f1060a0340370b8234e8072d70c10d4306d9 | [
"Apache-2.0"
] | null | null | null | easy/problem118/solution.py | cutoutsy/leetcode | 0734f1060a0340370b8234e8072d70c10d4306d9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
| 26.095238 | 59 | 0.410584 | #!/usr/bin/python
# -*- coding: utf-8 -*-
class Solution(object):
def generate(self, numRows):
"""
:type numRows: int
:rtype: List[List[int]]
"""
ans = []
if numRows == 0: return ans
ans.append([1])
for i in range(1,numRows):
row = []
... | 0 | 0 | 0 | 484 | 0 | 0 | 0 | 0 | 22 |
e4f7f7cca2308469990c26afe281704cf43f3897 | 1,532 | py | Python | src/astro/__init__.py | astro-projects/astro | 7fa0404fc690569ff85e379ecca54778f09a9333 | [
"Apache-2.0"
] | 71 | 2021-12-06T22:41:59.000Z | 2022-03-31T21:47:16.000Z | src/astro/__init__.py | astro-projects/astro | 7fa0404fc690569ff85e379ecca54778f09a9333 | [
"Apache-2.0"
] | 171 | 2021-12-14T07:34:57.000Z | 2022-03-31T21:04:15.000Z | src/astro/__init__.py | astro-projects/astro | 7fa0404fc690569ff85e379ecca54778f09a9333 | [
"Apache-2.0"
] | 11 | 2021-12-06T22:46:23.000Z | 2022-03-31T18:09:46.000Z | """A decorator that allows users to run SQL queries natively in Airflow."""
__version__ = "0.9.1"
# The following line is an import work-around to avoid raising a circular dependency issue related to `create_database`
# Without this, if we run the following imports, in this specific order:
# from astro.databases im... | 46.424242 | 119 | 0.727807 | """A decorator that allows users to run SQL queries natively in Airflow."""
__version__ = "0.9.1"
# The following line is an import work-around to avoid raising a circular dependency issue related to `create_database`
# Without this, if we run the following imports, in this specific order:
# from astro.databases im... | 0 | 0 | 0 | 0 | 0 | 278 | 0 | -5 | 58 |
1c84f381723e000bfb669c57e2bd3a49b340519c | 736 | py | Python | packages/pyright-internal/src/tests/samples/variadicTypeVar12.py | Jasha10/pyright | 0ce0cfa10fe7faa41071a2cc417bb449cf8276fe | [
"MIT"
] | 3,934 | 2019-03-22T09:26:41.000Z | 2019-05-06T21:03:08.000Z | packages/pyright-internal/src/tests/samples/variadicTypeVar12.py | Jasha10/pyright | 0ce0cfa10fe7faa41071a2cc417bb449cf8276fe | [
"MIT"
] | 107 | 2019-03-24T04:09:37.000Z | 2019-05-06T17:00:04.000Z | packages/pyright-internal/src/tests/samples/variadicTypeVar12.py | Jasha10/pyright | 0ce0cfa10fe7faa41071a2cc417bb449cf8276fe | [
"MIT"
] | 119 | 2019-03-23T10:48:04.000Z | 2019-05-06T08:57:56.000Z | # This sample tests the case where a variadic TypeVar is used in
# conjunction with a keyword-only parameter. It also tests protocol
# invariance validation when a TypeVarTuple is used in the protocol
# along with a non-variadic TypeVar.
# pyright: strict
from typing import TypeVar
from typing_extensions import TypeV... | 27.259259 | 89 | 0.691576 | # This sample tests the case where a variadic TypeVar is used in
# conjunction with a keyword-only parameter. It also tests protocol
# invariance validation when a TypeVarTuple is used in the protocol
# along with a non-variadic TypeVar.
# pyright: strict
from typing import Protocol, TypeVar
from typing_extensions im... | 0 | 0 | 0 | 95 | 0 | 73 | 0 | 18 | 46 |
d10a63cc5cb88f955269d4ce6980f67addd2f947 | 4,440 | py | Python | tests/service/contacts_test.py | mherrmann/dnsimple-python | a89127f0bafb2a001c902206fba87cbc4f3bc2d1 | [
"MIT"
] | 12 | 2020-06-18T17:16:03.000Z | 2022-03-23T08:35:49.000Z | tests/service/contacts_test.py | mherrmann/dnsimple-python | a89127f0bafb2a001c902206fba87cbc4f3bc2d1 | [
"MIT"
] | 129 | 2020-06-25T12:15:51.000Z | 2022-03-23T09:42:16.000Z | tests/service/contacts_test.py | mherrmann/dnsimple-python | a89127f0bafb2a001c902206fba87cbc4f3bc2d1 | [
"MIT"
] | 6 | 2020-07-03T09:34:01.000Z | 2021-12-20T04:29:59.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 45.773196 | 115 | 0.621847 | import unittest
import responses
from dnsimple import DNSimpleException
from dnsimple.response import Pagination
from dnsimple.struct import Contact
from tests.helpers import DNSimpleMockResponse, DNSimpleTest
class ContactsTest(DNSimpleTest):
@responses.activate
def test_list_contacts(self):
respon... | 0 | 3,955 | 0 | 12 | 0 | 0 | 0 | 84 | 323 |
f84ea56c56e51a875d50bc7307a31889f6562e9b | 423 | py | Python | replacedata/urls.py | judexzhu/dzhops | ffe089a734dd24d88bf433223ab8eb7e2eb099c5 | [
"Apache-2.0"
] | 202 | 2015-05-18T08:48:52.000Z | 2021-07-16T13:59:07.000Z | replacedata/urls.py | judexzhu/dzhops | ffe089a734dd24d88bf433223ab8eb7e2eb099c5 | [
"Apache-2.0"
] | 19 | 2015-11-26T03:54:45.000Z | 2019-03-02T13:58:24.000Z | replacedata/urls.py | Hasal/dzhops | fcd16adc61a941dccdaebee156b545784a5e96a8 | [
"Apache-2.0"
] | 172 | 2015-08-07T15:52:17.000Z | 2021-07-16T13:59:11.000Z | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'replacedata.views',
# url(r'^$', 'oms.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^repair/history/$', 'repairHistoryData', name=... | 32.538462 | 75 | 0.664303 | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'replacedata.views',
# url(r'^$', 'oms.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^repair/history/$', 'repairHistoryDat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 |
980ab3bc4a57447b3222534b3167de92a4804cb1 | 1,641 | py | Python | neural_sp/models/modules/zoneout.py | SunSki/neural_sp | 4e4aca9b4cda1c7d95a1774d22f4d3298ad4ba4b | [
"Apache-2.0"
] | null | null | null | neural_sp/models/modules/zoneout.py | SunSki/neural_sp | 4e4aca9b4cda1c7d95a1774d22f4d3298ad4ba4b | [
"Apache-2.0"
] | null | null | null | neural_sp/models/modules/zoneout.py | SunSki/neural_sp | 4e4aca9b4cda1c7d95a1774d22f4d3298ad4ba4b | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Zoneout regularization."""
import torch.nn as nn
| 28.789474 | 71 | 0.606947 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Zoneout regularization."""
import torch.nn as nn
class ZoneoutCell(nn.Module):
def __init__(self, cell, zoneout_prob_h, zoneout_prob_c):
... | 0 | 0 | 0 | 1,192 | 0 | 185 | 0 | 0 | 46 |
b3152b4456ead975eb6f74831b450dea9597705e | 810 | py | Python | number programs/sum of digits in anumber.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 6 | 2020-08-13T11:49:29.000Z | 2021-03-07T05:46:17.000Z | number programs/sum of digits in anumber.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | null | null | null | number programs/sum of digits in anumber.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 1 | 2021-04-24T06:12:48.000Z | 2021-04-24T06:12:48.000Z | ##Problem Description
##The program takes in a number and finds the sum of digits in a number.
print("-------------------Method 1----------------------------------")
temp=n=int(input("Enter a number: "))
total = 0
while n>0 :
total = total+(n%10)
n=n//10
print("The total sum of digits in the number {0} ... | 33.75 | 80 | 0.437037 | ##Problem Description
##The program takes in a number and finds the sum of digits in a number.
print("-------------------Method 1----------------------------------")
temp=n=int(input("Enter a number: "))
total = 0
while n>0 :
total = total+(n%10)
n=n//10
print("The total sum of digits in the number {0} ... | 0 | 0 | 0 | 0 | 0 | 73 | 0 | 0 | 23 |
f2c241e08bc11d95b523ca06dbb1790a155bc856 | 1,095 | py | Python | pymarlin/utils/writer/aml.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 20 | 2021-06-09T18:46:45.000Z | 2022-02-09T01:08:13.000Z | pymarlin/utils/writer/aml.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 50 | 2021-06-09T17:50:35.000Z | 2022-02-07T23:02:30.000Z | pymarlin/utils/writer/aml.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 5 | 2021-06-21T22:24:30.000Z | 2021-12-21T17:08:21.000Z | """
AML writer module.
"""
| 26.707317 | 67 | 0.536073 | """
AML writer module.
"""
from pymarlin.utils.logger.logging_utils import getlogger
from .base import Writer
class Aml(Writer):
"""
This class implements the Azure ML writer for stats.
"""
def __init__(self):
super().__init__(getlogger(__name__))
self.run = None
try:
... | 0 | 0 | 0 | 962 | 0 | 0 | 0 | 39 | 67 |
3f0de62c4c8c48e6ae02cd05d3405f7ac8d21e23 | 377 | py | Python | LectureNote/03.array_linkedlist/14.py | Raziel-JKM/Study_turtleCoding | d09e03605cdc8130db2a279ec8193b29f3bca7a6 | [
"MIT"
] | null | null | null | LectureNote/03.array_linkedlist/14.py | Raziel-JKM/Study_turtleCoding | d09e03605cdc8130db2a279ec8193b29f3bca7a6 | [
"MIT"
] | null | null | null | LectureNote/03.array_linkedlist/14.py | Raziel-JKM/Study_turtleCoding | d09e03605cdc8130db2a279ec8193b29f3bca7a6 | [
"MIT"
] | 2 | 2021-12-13T08:02:31.000Z | 2021-12-18T08:36:23.000Z | # Definition for singly-linked list.
| 25.133333 | 68 | 0.567639 | # Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
if (not l1) or (l2 and l1.val > l2.val):
l1, l2 = l2, l1
if l1:
l1.... | 0 | 0 | 0 | 294 | 0 | 0 | 0 | 0 | 45 |
4f8e2aeb8fb094469d36a66d43fac5b6984cbe13 | 240 | py | Python | OCT18A/BITOBYT.py | Chhekur/codechef-solutions | 14ca902ea693139de13ffe5b9f602447bf34b79f | [
"MIT"
] | 1 | 2019-03-25T14:14:47.000Z | 2019-03-25T14:14:47.000Z | OCT18A/BITOBYT.py | Chhekur/codechef-solutions | 14ca902ea693139de13ffe5b9f602447bf34b79f | [
"MIT"
] | null | null | null | OCT18A/BITOBYT.py | Chhekur/codechef-solutions | 14ca902ea693139de13ffe5b9f602447bf34b79f | [
"MIT"
] | null | null | null | for _ in range(int(input())):
n = int(input())
temp = (n - 1) // 26
temp2 = n % 26
ans = 2**temp
if n == 0: print(1,0,0)
elif temp2 > 0 and temp2 < 3: print(ans,0,0)
elif temp2 > 2 and temp2 < 11: print(0,ans,0)
else: print(0,0,ans) | 26.666667 | 46 | 0.570833 | for _ in range(int(input())):
n = int(input())
temp = (n - 1) // 26
temp2 = n % 26
ans = 2**temp
if n == 0: print(1,0,0)
elif temp2 > 0 and temp2 < 3: print(ans,0,0)
elif temp2 > 2 and temp2 < 11: print(0,ans,0)
else: print(0,0,ans) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1a4913225fbfc946d7637c1b7948e693eb990e2 | 8,110 | py | Python | LinearRegression.py | Prasanna-Brabourame/Machine-Learning | f27811d1d0b280ac025cfc7d5610c646b9f5de35 | [
"MIT"
] | null | null | null | LinearRegression.py | Prasanna-Brabourame/Machine-Learning | f27811d1d0b280ac025cfc7d5610c646b9f5de35 | [
"MIT"
] | null | null | null | LinearRegression.py | Prasanna-Brabourame/Machine-Learning | f27811d1d0b280ac025cfc7d5610c646b9f5de35 | [
"MIT"
] | null | null | null |
# The problem to be solved:
# We have trucks located in different cities and each truck brings a profit or loss. We have the historical data and determined that the profit depends on the city's population. We want to find this relation.
import numpy as np
print('Welcome to Machine Learning with Python!')
print('Lesso... | 38.254717 | 441 | 0.69815 |
# The problem to be solved:
# We have trucks located in different cities and each truck brings a profit or loss. We have the historical data and determined that the profit depends on the city's population. We want to find this relation.
import numpy as np
print('Welcome to Machine Learning with Python!')
print('Lesso... | 0 | 0 | 0 | 0 | 0 | 1,120 | 0 | 0 | 66 |
451b547531e66a11eedfdad82d0ab5ec2c049406 | 989 | py | Python | remindme/config.py | GochoMugo/remindme | 6cf2f94ce07ead754f1ee5976a7e7d7cbfa1a2e4 | [
"MIT"
] | 17 | 2015-05-02T22:58:07.000Z | 2017-04-17T06:33:43.000Z | remindme/config.py | GochoMugo/remindme | 6cf2f94ce07ead754f1ee5976a7e7d7cbfa1a2e4 | [
"MIT"
] | 8 | 2015-02-14T16:22:27.000Z | 2016-10-26T13:15:19.000Z | remindme/config.py | GochoMugo/remindme | 6cf2f94ce07ead754f1ee5976a7e7d7cbfa1a2e4 | [
"MIT"
] | 2 | 2016-02-26T10:47:56.000Z | 2019-10-09T05:49:51.000Z | import os
import sys
import colorama
from . import metadata
# project metadata
METADATA = metadata
# paths
PATHS = {}
PATHS["home"] = os.path.expanduser("~")
PATHS["db_file"] = os.path.join(PATHS["home"], ".remindme.db")
PATHS["config_file"] = os.path.join(PATHS["home"], ".remindme")
# colors
colorama.init()
COLO... | 21.5 | 63 | 0.722952 | import os
import sys
import colorama
from . import metadata
# project metadata
METADATA = metadata
# paths
PATHS = {}
PATHS["home"] = os.path.expanduser("~")
PATHS["db_file"] = os.path.join(PATHS["home"], ".remindme.db")
PATHS["config_file"] = os.path.join(PATHS["home"], ".remindme")
# colors
colorama.init()
COLO... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3c4fdc05b6325dc0d014850d64adf6128c1af6de | 1,075 | py | Python | telemetry/telemetry/internal/platform/platform_backend_unittest.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 1,894 | 2015-04-17T18:29:53.000Z | 2022-03-28T22:41:06.000Z | telemetry/telemetry/internal/platform/platform_backend_unittest.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | telemetry/telemetry/internal/platform/platform_backend_unittest.py | Martijnve23/catapult | 5c63b19d221af6a12889e8727acc85d93892cab7 | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import absolute_import
| 39.814815 | 74 | 0.728372 | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from __future__ import absolute_import
import unittest
import mock
from telemetry.core import platform as platform_module
from telemetry.internal.platform i... | 0 | 0 | 0 | 652 | 0 | 0 | 0 | 86 | 134 |
704bb3776179c6385b0af47d73095b8ef624dce9 | 960 | py | Python | files/update-lang-list.py | eumel8/translation_checksite | 122acecf10e1de21320f8f0607d45ddada69d032 | [
"Apache-2.0"
] | null | null | null | files/update-lang-list.py | eumel8/translation_checksite | 122acecf10e1de21320f8f0607d45ddada69d032 | [
"Apache-2.0"
] | 4 | 2016-01-30T06:59:50.000Z | 2021-12-02T17:55:54.000Z | files/update-lang-list.py | eumel8/translation_checksite | 122acecf10e1de21320f8f0607d45ddada69d032 | [
"Apache-2.0"
] | 3 | 2016-01-30T03:44:15.000Z | 2016-02-05T10:50:43.000Z | #!/usr/bin/env python
import pprint
import os
from django.conf.locale import LANG_INFO
from django.utils import translation
HORIZON_DIR = '/opt/stack/horizon'
langs_horizon = os.listdir(os.path.join(HORIZON_DIR, 'horizon', 'locale'))
langs_dashboard = os.listdir(os.path.join(HORIZON_DIR, 'openstack_dashboard', 'l... | 28.235294 | 88 | 0.708333 | #!/usr/bin/env python
import pprint
import os
from django.conf.locale import LANG_INFO
from django.utils import translation
def get_django_lang_name(code, all_codes):
code = code.lower().replace('_', '-')
code_orig = code
lang_info = LANG_INFO.get(code)
if not lang_info:
code = code.split('-... | 0 | 0 | 0 | 0 | 0 | 360 | 0 | 0 | 23 |
fe6edc63bbf0559878618a4e33821990cd4a7535 | 235 | py | Python | problems/Codeforces/Birthday.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | 6 | 2020-06-25T14:52:09.000Z | 2021-08-05T20:54:15.000Z | problems/Codeforces/Birthday.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | problems/Codeforces/Birthday.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | _ = input()
m = map(int, input().split())
m = sorted(m)
#print(m)
l=[]
for i in range(len(m)):
if(i%2==0):
l.append(str(m[i]))
for i in range(len(m)-1,0,-1):
if(i%2!=0):
l.append(str(m[i]))
print(' '.join(l)) | 15.666667 | 30 | 0.489362 | _ = input()
m = map(int, input().split())
m = sorted(m)
#print(m)
l=[]
for i in range(len(m)):
if(i%2==0):
l.append(str(m[i]))
for i in range(len(m)-1,0,-1):
if(i%2!=0):
l.append(str(m[i]))
print(' '.join(l)) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fc6a9e223a774f2d6514568d4a145897adc465d7 | 1,144 | py | Python | figures/ring.py | deepsphere/paper-deepsphere-rlgm2019 | e3b56f48da5b18bcf9a78426b19f203c5c0dda54 | [
"CC-BY-4.0"
] | 1 | 2020-11-05T13:45:40.000Z | 2020-11-05T13:45:40.000Z | figures/ring.py | deepsphere/paper-iclr19-rlgm | e3b56f48da5b18bcf9a78426b19f203c5c0dda54 | [
"CC-BY-4.0"
] | null | null | null | figures/ring.py | deepsphere/paper-iclr19-rlgm | e3b56f48da5b18bcf9a78426b19f203c5c0dda54 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
import os
import numpy as np
import pygsp as gsp
import matplotlib.pyplot as plt
from matplotlib.patches import Arc
# plt.rc('font', family='Latin Modern Roman')
plt.rc('text', usetex=True)
plt.rc('text.latex', preamble=r'\usepackage{lmodern}')
fig = plt.figure(figsize = (3, 3))
ax = fig.add_... | 27.902439 | 129 | 0.68007 | #!/usr/bin/env python3
import os
import numpy as np
import pygsp as gsp
import matplotlib.pyplot as plt
from matplotlib.patches import Arc
# plt.rc('font', family='Latin Modern Roman')
plt.rc('text', usetex=True)
plt.rc('text.latex', preamble=r'\usepackage{lmodern}')
fig = plt.figure(figsize = (3, 3))
ax = fig.add_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8fe47d6e92443b760621ca519956d6954987c080 | 6,343 | py | Python | blend/test/TestConfiguration.py | azavea/blend | 2cafbc326f2e6b3f1947581cca860ff544adada1 | [
"MIT"
] | 1 | 2017-03-06T14:55:29.000Z | 2017-03-06T14:55:29.000Z | blend/test/TestConfiguration.py | azavea/blend | 2cafbc326f2e6b3f1947581cca860ff544adada1 | [
"MIT"
] | null | null | null | blend/test/TestConfiguration.py | azavea/blend | 2cafbc326f2e6b3f1947581cca860ff544adada1 | [
"MIT"
] | null | null | null | # By Justin Walgran
# Copyright (c) 2012 Azavea, Inc.
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without
# restriction, including without limitation the rights to use,
# copy, modify, ... | 40.401274 | 116 | 0.700457 | # By Justin Walgran
# Copyright (c) 2012 Azavea, Inc.
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without
# restriction, including without limitation the rights to use,
# copy, modify, ... | 0 | 0 | 0 | 4,855 | 0 | 0 | 0 | 101 | 269 |
7d4df8ca4fd9f6faefafdc8a8cbba5f7922eda77 | 1,876 | py | Python | 07/7.1.py | abe-101/ThinkPython-2 | bcebb1e9b3cc63c403f59c3cc0f33017bb017363 | [
"MIT"
] | 1 | 2021-12-16T16:46:47.000Z | 2021-12-16T16:46:47.000Z | 07/7.1.py | abe-101/ThinkPython-2 | bcebb1e9b3cc63c403f59c3cc0f33017bb017363 | [
"MIT"
] | null | null | null | 07/7.1.py | abe-101/ThinkPython-2 | bcebb1e9b3cc63c403f59c3cc0f33017bb017363 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import math
def mysqrt(a):
"""Compute the square root of a using Newton's method: start with an
approximate answer and iteratively improving it
"""
estimate = a / 2 + 1 # Arbitrary estimae of the square root of a
epsilon = 0.0000001
while True:
approx = (estimate + a... | 31.266667 | 80 | 0.549041 | #!/usr/bin/python3
import math
def mysqrt(a):
"""Compute the square root of a using Newton's method: start with an
approximate answer and iteratively improving it
"""
estimate = a / 2 + 1 # Arbitrary estimae of the square root of a
epsilon = 0.0000001
while True:
approx = (estimate + a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
df668d722b67fd2443fb0e29147acb271a0d6a49 | 63,507 | py | Python | tests/simulations/system/test_system_unitary.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | null | null | null | tests/simulations/system/test_system_unitary.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | 1 | 2021-02-03T01:56:56.000Z | 2021-02-03T01:56:56.000Z | tests/simulations/system/test_system_unitary.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | 1 | 2022-01-11T18:31:05.000Z | 2022-01-11T18:31:05.000Z | from pathlib import Path
test_dir = Path(__file__).parent.parent.parent
hot_water_objects = {
"HVACTemplate:Plant:Boiler": {
"Main Boiler": {
"boiler_type": "HotWaterBoiler",
"capacity": "Autosize",
"efficiency": 0.8,
"fuel_type": "NaturalGas",
"... | 56.652096 | 125 | 0.678366 | from pathlib import Path
from tests.simulations import BaseSimulationTest
from src.epjson_handler import EPJSON
test_dir = Path(__file__).parent.parent.parent
hot_water_objects = {
"HVACTemplate:Plant:Boiler": {
"Main Boiler": {
"boiler_type": "HotWaterBoiler",
"capacity": "Autosi... | 0 | 57,525 | 0 | 2,153 | 0 | 0 | 0 | 43 | 68 |
b309c952311c2ba99fc6444d9dabcacf6b2a8a7a | 1,287 | py | Python | apps/base/migrations/0052_fill_new_item_order.py | KolevDarko/lifehq | 88d92f5fe76f2fb6511f2a892e096d95a69985d8 | [
"MIT"
] | null | null | null | apps/base/migrations/0052_fill_new_item_order.py | KolevDarko/lifehq | 88d92f5fe76f2fb6511f2a892e096d95a69985d8 | [
"MIT"
] | null | null | null | apps/base/migrations/0052_fill_new_item_order.py | KolevDarko/lifehq | 88d92f5fe76f2fb6511f2a892e096d95a69985d8 | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2019-01-31 07:28
| 33.868421 | 73 | 0.62704 | # Generated by Django 2.0 on 2019-01-31 07:28
from django.db import migrations
class Migration(migrations.Migration):
def forwards_func(apps, schema_editor):
ProjectTodoList = apps.get_model('base', 'ProjectTodoList')
PersonalTodoList = apps.get_model('base', 'PersonalTodoList')
for proj... | 0 | 0 | 0 | 1,183 | 0 | 0 | 0 | 11 | 46 |
c32b35ee54e2b205d3b64c553ab89bbe78d5c853 | 7,697 | py | Python | tests/bibkey_formatter/test_formatters/test_author_formatters.py | astamminger/zotero-bibtize | bd518c85d5ea03f952903b721e0d66e8990bd185 | [
"MIT"
] | 2 | 2019-11-20T02:46:46.000Z | 2022-03-08T18:32:32.000Z | tests/bibkey_formatter/test_formatters/test_author_formatters.py | astamminger/zotero-bibtize | bd518c85d5ea03f952903b721e0d66e8990bd185 | [
"MIT"
] | 8 | 2019-11-20T15:31:37.000Z | 2020-05-05T09:07:05.000Z | tests/bibkey_formatter/test_formatters/test_author_formatters.py | astamminger/zotero-bibtize | bd518c85d5ea03f952903b721e0d66e8990bd185 | [
"MIT"
] | null | null | null | """
Test suite for BibKey formatting sequences.
Tests the generation of key contents based on the author entry
"""
from zotero_bibtize.bibkey_formatter import KeyFormatter
#
# Test lower author formatting
#
#
# Test upper author formatting
#
#
# Test capitalized author formatting
#
#
# Test abbreviate... | 36.478673 | 81 | 0.715214 | """
Test suite for BibKey formatting sequences.
Tests the generation of key contents based on the author entry
"""
from zotero_bibtize.bibkey_formatter import KeyFormatter
#
# Test lower author formatting
#
def test_no_author_lower():
key_formatter = KeyFormatter({})
key_format = '[author:lower]'
assert ... | 0 | 0 | 0 | 0 | 0 | 5,724 | 0 | 0 | 364 |
d9bdf38b8225d5bcf36515d8ff0fd7d07cd4ddee | 2,900 | py | Python | ontobio/io/entitywriter.py | alliance-genome/ontobio | 0ec3aa6fea9d4492a9873a4b9b394c4866f741b6 | [
"BSD-3-Clause"
] | null | null | null | ontobio/io/entitywriter.py | alliance-genome/ontobio | 0ec3aa6fea9d4492a9873a4b9b394c4866f741b6 | [
"BSD-3-Clause"
] | null | null | null | ontobio/io/entitywriter.py | alliance-genome/ontobio | 0ec3aa6fea9d4492a9873a4b9b394c4866f741b6 | [
"BSD-3-Clause"
] | null | null | null | """
Classes for exporting entities.
So far only one implementation
"""
import re
external_taxon = re.compile("taxon:([0-9]+)")
internal_taxon = re.compile("NCBITaxon:([0-9]+)")
| 24.576271 | 80 | 0.556897 | """
Classes for exporting entities.
So far only one implementation
"""
import re
def stringify(s):
if s is None:
return ""
elif isinstance(s,list):
return "|".join(s)
else:
return s
external_taxon = re.compile("taxon:([0-9]+)")
internal_taxon = re.compile("NCBITaxon:([0-9]+)")
de... | 0 | 0 | 0 | 2,150 | 0 | 478 | 0 | 0 | 92 |
7bc67dc45c88bf77bfd385e03be6efef81543692 | 101 | py | Python | src/pagnn/training/dcn/__init__.py | ostrokach/protein-adjacency-net | fd3ad0b9034eb61b0187752c1f38f7eed1a8f1dc | [
"MIT"
] | 1 | 2022-01-16T12:06:13.000Z | 2022-01-16T12:06:13.000Z | src/pagnn/training/dcn/__init__.py | ostrokach/protein-adjacency-net | fd3ad0b9034eb61b0187752c1f38f7eed1a8f1dc | [
"MIT"
] | null | null | null | src/pagnn/training/dcn/__init__.py | ostrokach/protein-adjacency-net | fd3ad0b9034eb61b0187752c1f38f7eed1a8f1dc | [
"MIT"
] | null | null | null | """Train a network."""
| 20.2 | 29 | 0.732673 | """Train a network."""
from .args import Args
from .stats import Stats
from .main import main, train
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 66 |
c90a19220af8528b49927128e469ba9aff6561ab | 291 | py | Python | export_readiness/migrations/0064_merge_20191009_1320.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2018-03-20T11:19:07.000Z | 2021-10-05T07:53:11.000Z | export_readiness/migrations/0064_merge_20191009_1320.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 802 | 2018-02-05T14:16:13.000Z | 2022-02-10T10:59:21.000Z | export_readiness/migrations/0064_merge_20191009_1320.py | uktrade/directory-cms | 8c8d13ce29ea74ddce7a40f3dd29c8847145d549 | [
"MIT"
] | 6 | 2019-01-22T13:19:37.000Z | 2019-07-01T10:35:26.000Z | # Generated by Django 2.2.4 on 2019-10-09 13:20
| 19.4 | 56 | 0.670103 | # Generated by Django 2.2.4 on 2019-10-09 13:20
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('export_readiness', '0063_auto_20191009_1239'),
('export_readiness', '0063_auto_20191008_1307'),
]
operations = [
]
| 0 | 0 | 0 | 185 | 0 | 0 | 0 | 11 | 46 |
e607fd13a8a8af9d7b0dd6db2c1d5a67f9b2d4bc | 16,202 | py | Python | skating_etl/skating_etl.py | gcp825/gcp_public | 3208249658b227de4a3d5e054de8df42042429a5 | [
"Apache-2.0"
] | null | null | null | skating_etl/skating_etl.py | gcp825/gcp_public | 3208249658b227de4a3d5e054de8df42042429a5 | [
"Apache-2.0"
] | null | null | null | skating_etl/skating_etl.py | gcp825/gcp_public | 3208249658b227de4a3d5e054de8df42042429a5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
if __name__ == '__main__': run()
| 70.751092 | 146 | 0.398901 | #!/usr/bin/python3
def run(cloud=False):
# imports
import apache_beam as ab
from apache_beam import io
from apache_beam import ToString as ts
from apache_beam.options.pipeline_options import PipelineOptions, SetupOptions, StandardOptions, GoogleCloudOptions
from gcp_tools import be... | 0 | 0 | 0 | 0 | 0 | 16,126 | 0 | 0 | 23 |
0997b2bb53b3e94433d1abfed3c5673193adb7bc | 1,393 | py | Python | main_adco.py | maple-research-lab/AdCo | a9f25fc18c12df88c732b33700f3bb698454dd3f | [
"MIT"
] | 139 | 2021-03-05T01:20:26.000Z | 2022-03-24T02:25:20.000Z | main_adco.py | maple-research-lab/AdCo | a9f25fc18c12df88c732b33700f3bb698454dd3f | [
"MIT"
] | 12 | 2021-03-09T02:59:40.000Z | 2021-09-27T05:25:25.000Z | main_adco.py | maple-research-lab/AdCo | a9f25fc18c12df88c732b33700f3bb698454dd3f | [
"MIT"
] | 18 | 2021-03-05T02:44:52.000Z | 2022-03-14T02:37:09.000Z | #Copyright (C) 2020 Xiao Wang
#License: MIT for academic use.
#Contact: Xiao Wang (wang3702@purdue.edu, xiaowang20140001@gmail.com)
#Some codes adopted from https://github.com/facebookresearch/moco
from ops.argparser import argparser
if __name__ == '__main__':
#use_cuda = torch.cuda.is_available()
#print("st... | 36.657895 | 81 | 0.729361 | #Copyright (C) 2020 Xiao Wang
#License: MIT for academic use.
#Contact: Xiao Wang (wang3702@purdue.edu, xiaowang20140001@gmail.com)
#Some codes adopted from https://github.com/facebookresearch/moco
import os
from ops.argparser import argparser
from ops.Config_Environment import Config_Environment
import torch.multipr... | 0 | 0 | 0 | 0 | 0 | 781 | 0 | 57 | 110 |
4c1974ce7ed5abfe14e791e0f8209d92e3dcc752 | 638 | py | Python | yk_utils/images/image_parser.py | jppdpf/yk-utils-python | 2c101feda900713c8cbb0223326031ba09cd48e9 | [
"MIT"
] | null | null | null | yk_utils/images/image_parser.py | jppdpf/yk-utils-python | 2c101feda900713c8cbb0223326031ba09cd48e9 | [
"MIT"
] | null | null | null | yk_utils/images/image_parser.py | jppdpf/yk-utils-python | 2c101feda900713c8cbb0223326031ba09cd48e9 | [
"MIT"
] | 1 | 2022-02-16T19:04:33.000Z | 2022-02-16T19:04:33.000Z | """Image parser module.
"""
import os
import base64
def parse_image(image) -> str:
"""Check whether the image is a string or a file path or a file-like object.
:param image:
A base64 string or a file path or a file-like object representing an image.
:return:
Image as a base64 string.
"... | 29 | 83 | 0.628527 | """Image parser module.
"""
import os
import base64
def parse_image(image) -> str:
"""Check whether the image is a string or a file path or a file-like object.
:param image:
A base64 string or a file path or a file-like object representing an image.
:return:
Image as a base64 string.
"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d022cac11f1e60bc2bcab537423ff5ea3705e37 | 3,983 | py | Python | client/gym_carla/experiment_suite/experiment_suite.py | wielgosz-info/carla-rl | 8841c0c7997299ed76388ad93b34834bd6b55d3e | [
"MIT"
] | null | null | null | client/gym_carla/experiment_suite/experiment_suite.py | wielgosz-info/carla-rl | 8841c0c7997299ed76388ad93b34834bd6b55d3e | [
"MIT"
] | null | null | null | client/gym_carla/experiment_suite/experiment_suite.py | wielgosz-info/carla-rl | 8841c0c7997299ed76388ad93b34834bd6b55d3e | [
"MIT"
] | null | null | null | # Copyright (c) 2017 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
#
# -------------------------------------------------------------------------------
#
# This file is ... | 32.647541 | 132 | 0.644489 | # Copyright (c) 2017 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
#
# -------------------------------------------------------------------------------
#
# This file is ... | 0 | 623 | 0 | 2,612 | 0 | 0 | 0 | 100 | 112 |
96c8a4ff91d3e3ca6afe90078f997ac43327e709 | 3,675 | py | Python | w4_tiled_converter/main.py | restitux/w4-tiled-converter | 7cdee2d425c53a54d46617f9499a43dad3806594 | [
"MIT"
] | null | null | null | w4_tiled_converter/main.py | restitux/w4-tiled-converter | 7cdee2d425c53a54d46617f9499a43dad3806594 | [
"MIT"
] | null | null | null | w4_tiled_converter/main.py | restitux/w4-tiled-converter | 7cdee2d425c53a54d46617f9499a43dad3806594 | [
"MIT"
] | null | null | null |
# Convert a tiled tmx tilemap to source files
if __name__ == "__main__":
main()
| 22.826087 | 88 | 0.688163 | import argparse
import json
from os.path import basename, join, split, splitext
import sys
from w4_tiled_converter import converters
# Convert a tiled tmx tilemap to source files
def tilemap_subcommand(filename: str):
print(f"INFO: Processing tilemap {filename}")
name = basename(splitext(splitext(filename)[0]... | 0 | 0 | 0 | 0 | 0 | 3,360 | 0 | 23 | 202 |
3899d52834f5585b5ae4c4435ca9a8f8025273e4 | 404 | py | Python | rallybooking/migrations/0007_rally_site_name.py | DaleShipp/devoncc | 8bec11cf363ac5a5c16eda9a6c50e9f901142211 | [
"BSD-3-Clause"
] | null | null | null | rallybooking/migrations/0007_rally_site_name.py | DaleShipp/devoncc | 8bec11cf363ac5a5c16eda9a6c50e9f901142211 | [
"BSD-3-Clause"
] | null | null | null | rallybooking/migrations/0007_rally_site_name.py | DaleShipp/devoncc | 8bec11cf363ac5a5c16eda9a6c50e9f901142211 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.1.1 on 2018-10-05 22:33
| 21.263158 | 63 | 0.60396 | # Generated by Django 2.1.1 on 2018-10-05 22:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rallybooking', '0006_auto_20181005_2042'),
]
operations = [
migrations.AddField(
model_name='rally',
name='site_name... | 0 | 0 | 0 | 290 | 0 | 0 | 0 | 19 | 46 |
cc323e6f4b8b6d89a4bc83d3a457b2b702135f01 | 154 | py | Python | book_library_app/commands/__init__.py | szymcio32/flask-book-library-api | 9406bb5ff6ec04cc7c049d416913ae084e73a9dc | [
"MIT"
] | 1 | 2022-02-03T17:10:03.000Z | 2022-02-03T17:10:03.000Z | book_library_app/commands/__init__.py | szymcio32/flask-book-library-api | 9406bb5ff6ec04cc7c049d416913ae084e73a9dc | [
"MIT"
] | null | null | null | book_library_app/commands/__init__.py | szymcio32/flask-book-library-api | 9406bb5ff6ec04cc7c049d416913ae084e73a9dc | [
"MIT"
] | 2 | 2021-04-26T20:57:24.000Z | 2021-09-20T10:19:00.000Z | from flask import Blueprint
db_manage_bp = Blueprint('db_manage_cmd', __name__, cli_group=None) | 30.8 | 67 | 0.850649 | from flask import Blueprint
db_manage_bp = Blueprint('db_manage_cmd', __name__, cli_group=None)
from book_library_app.commands import db_manage_commands | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 23 |
fc6a61ad09b5a2873ca3d0bbf8908a1fe92aac0e | 1,549 | py | Python | example.py | ssocolow/Neural-Network-Saves | 78870623cec9752a765d8bb43d00f0c3f0f677b0 | [
"MIT"
] | 3 | 2019-06-22T05:53:18.000Z | 2019-06-22T05:53:48.000Z | example.py | ssocolow/Neural-Network-Python-Lib | 78870623cec9752a765d8bb43d00f0c3f0f677b0 | [
"MIT"
] | 2 | 2019-06-22T06:16:19.000Z | 2019-06-22T06:22:38.000Z | example.py | ssocolow/Neural-Network-Python-Lib | 78870623cec9752a765d8bb43d00f0c3f0f677b0 | [
"MIT"
] | null | null | null | #importing the library
#nn requires matrix2d.py and the math module and random module for dependencies
import nn
import random
#create the neural network to solve the XOR problem
#takes an array of arrays for argument
#the 2, 4 and 1 represent two nodes in the input and 4 nodes in the hidden layer and 1 node in the ou... | 48.40625 | 141 | 0.769529 | #importing the library
#nn requires matrix2d.py and the math module and random module for dependencies
import nn
import random
#create the neural network to solve the XOR problem
#takes an array of arrays for argument
#the 2, 4 and 1 represent two nodes in the input and 4 nodes in the hidden layer and 1 node in the ou... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fe1792e616a3318ec0936ccae1a3979964e73622 | 5,345 | py | Python | geeksbot_web/rcon/models.py | dustinpianalto/geeksbot_web | ee02452dd5a61b0487706782020f9647ae202238 | [
"MIT"
] | null | null | null | geeksbot_web/rcon/models.py | dustinpianalto/geeksbot_web | ee02452dd5a61b0487706782020f9647ae202238 | [
"MIT"
] | null | null | null | geeksbot_web/rcon/models.py | dustinpianalto/geeksbot_web | ee02452dd5a61b0487706782020f9647ae202238 | [
"MIT"
] | null | null | null |
# Create your models here.
| 41.434109 | 101 | 0.636109 | from django.db import models
from django.core.exceptions import ObjectDoesNotExist
from rest_framework import status
from guilds.models import Guild
from dmessages.models import Message
from users.models import User
from channels.models import Channel
from .utils import create_error_response
from .utils import create_... | 0 | 1,436 | 0 | 3,520 | 0 | 0 | 0 | 138 | 222 |
daad75627bc6162d2ea4e3136cfa6943ffef9ecd | 1,127 | py | Python | post.py | seqcode/seqview-web-docker-public | 56dfc222fd25a630cbc63d2841d9ce4fb1c7045c | [
"MIT"
] | null | null | null | post.py | seqcode/seqview-web-docker-public | 56dfc222fd25a630cbc63d2841d9ce4fb1c7045c | [
"MIT"
] | null | null | null | post.py | seqcode/seqview-web-docker-public | 56dfc222fd25a630cbc63d2841d9ce4fb1c7045c | [
"MIT"
] | null | null | null |
main()
| 40.25 | 174 | 0.721384 | from urllib.parse import urlencode
from urllib.request import Request, urlopen
import json
import argparse
import configparser
def main():
parser = argparse.ArgumentParser(description="Post ingest tileset request to higlass")
parser.add_argument('--genome', action="store", dest="genome", default='', help="genome ver... | 0 | 0 | 0 | 0 | 0 | 945 | 0 | 17 | 157 |
eb282e96df605c49958261d1bcdd1be576d4b1bf | 3,574 | py | Python | story_chain/flaskrunner.py | muchu1983/story_chain | 3af4bb158be128a52c753f88eaffaed872d85880 | [
"BSD-3-Clause"
] | null | null | null | story_chain/flaskrunner.py | muchu1983/story_chain | 3af4bb158be128a52c753f88eaffaed872d85880 | [
"BSD-3-Clause"
] | null | null | null | story_chain/flaskrunner.py | muchu1983/story_chain | 3af4bb158be128a52c753f88eaffaed872d85880 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Copyright (C) 2015, MuChu Hsu
Contributed by Muchu Hsu (muchu1983@gmail.com)
This file is part of BSD license
<https://opensource.org/licenses/BSD-3-Clause>
"""
from flask import Flask
app = Flask(__name__.split(".")[0])
# server
# jsonp response
# (return id)
#
# (/... | 34.038095 | 94 | 0.689144 | # -*- coding: utf-8 -*-
"""
Copyright (C) 2015, MuChu Hsu
Contributed by Muchu Hsu (muchu1983@gmail.com)
This file is part of BSD license
<https://opensource.org/licenses/BSD-3-Clause>
"""
import json
from flask import Flask
from flask import request
from flask import render_template
from flask import jsonify
from sto... | 288 | 2,405 | 0 | 0 | 0 | 203 | 0 | 41 | 352 |
f0463eb840dd62de3267468df2df8a11a6d08fe8 | 2,913 | py | Python | venv/Lib/site-packages/xero_python/accounting/models/report_fields.py | RobMilinski/Xero-Starter-Branched-Test | c82382e674b34c2336ee164f5a079d6becd1ed46 | [
"MIT"
] | 77 | 2020-02-16T03:50:18.000Z | 2022-03-11T03:53:26.000Z | venv/Lib/site-packages/xero_python/accounting/models/report_fields.py | RobMilinski/Xero-Starter-Branched-Test | c82382e674b34c2336ee164f5a079d6becd1ed46 | [
"MIT"
] | 50 | 2020-04-06T10:15:52.000Z | 2022-03-29T21:27:50.000Z | venv/Lib/site-packages/xero_python/accounting/models/report_fields.py | RobMilinski/Xero-Starter-Branched-Test | c82382e674b34c2336ee164f5a079d6becd1ed46 | [
"MIT"
] | 27 | 2020-06-04T11:16:17.000Z | 2022-03-19T06:27:36.000Z | # coding: utf-8
"""
Xero Accounting API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
Contact: api@xero.com
Generated by: https://openapi-generator.tech
"""
| 24.897436 | 124 | 0.597666 | # coding: utf-8
"""
Xero Accounting API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
Contact: api@xero.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
from xero_python.models import BaseModel
... | 0 | 1,287 | 0 | 1,283 | 0 | 0 | 0 | 7 | 83 |
f594e48a4780469ce9c3653912d489a7c0714b11 | 1,458 | py | Python | Python Basics/scipy_basics.py | python-sonchau/python-visualization | eb139aaabbff858663a96f8e19e30f1418e4330c | [
"MIT"
] | null | null | null | Python Basics/scipy_basics.py | python-sonchau/python-visualization | eb139aaabbff858663a96f8e19e30f1418e4330c | [
"MIT"
] | null | null | null | Python Basics/scipy_basics.py | python-sonchau/python-visualization | eb139aaabbff858663a96f8e19e30f1418e4330c | [
"MIT"
] | null | null | null | from scipy import stats
import numpy as np
############################
# CALCULATING CORRELATIONS #
############################
array_1 = np.array([1,2,3,4,5,6]) # Create a numpy array from a list
array_2 = array_1 # Create another array with the same values
print(stats.pearsonr(array_1, array_2)) # Calculate t... | 36.45 | 192 | 0.580933 | from scipy import stats
import numpy as np
############################
# CALCULATING CORRELATIONS #
############################
array_1 = np.array([1,2,3,4,5,6]) # Create a numpy array from a list
array_2 = array_1 # Create another array with the same values
print(stats.pearsonr(array_1, array_2)) # Calculate t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b76ae8aebcf19bf3deee56b36c1edd3ec1852d21 | 50,717 | py | Python | Src/Scripts/DarunGrim.py | fengjixuchui/DarunGrim | a6cbe5c064f9399423845dea0ab67355d5ac5852 | [
"BSD-3-Clause"
] | null | null | null | Src/Scripts/DarunGrim.py | fengjixuchui/DarunGrim | a6cbe5c064f9399423845dea0ab67355d5ac5852 | [
"BSD-3-Clause"
] | null | null | null | Src/Scripts/DarunGrim.py | fengjixuchui/DarunGrim | a6cbe5c064f9399423845dea0ab67355d5ac5852 | [
"BSD-3-Clause"
] | null | null | null | import time
RedirectStdOutErr=True
if __name__=='__main__':
multiprocessing.freeze_support()
import sys
import time
if len(sys.argv)>1:
database_name=sys.argv[1]
else:
database_name=''
app=QApplication(sys.argv)
pixmap=QPixmap('DarunGrimSplash.png')
splash=QSplashScreen(pixmap)
splash.show()
app.proce... | 32.242212 | 318 | 0.763354 | from PySide.QtCore import *
from PySide.QtGui import *
from PySide.QtSql import *
import DarunGrimDatabase
import DiffEngine
from Graphs import *
import FlowGrapher
import FileStoreBrowser
import FileStoreDatabase
import DarunGrimEngine
import pprint
from multiprocessing import Process
from multiprocessing import Que... | 0 | 0 | 0 | 48,634 | 0 | 955 | 0 | 9 | 676 |
4fb3719d6c98f0ef30141c1f977dfa7d852da269 | 570 | py | Python | test.py | FlyingKiwis/Esipraisal | 47b19baab7f59fd6a0a0f84b85708d017e7ce011 | [
"MIT"
] | 1 | 2020-06-02T03:54:19.000Z | 2020-06-02T03:54:19.000Z | test.py | FlyingKiwis/Esipraisal | 47b19baab7f59fd6a0a0f84b85708d017e7ce011 | [
"MIT"
] | null | null | null | test.py | FlyingKiwis/Esipraisal | 47b19baab7f59fd6a0a0f84b85708d017e7ce011 | [
"MIT"
] | null | null | null | import asyncio
import logging
from Esipraisal.Esipraisal import Esipraisal
ep_log = logging.getLogger("Esipraisal")
ep_log.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
ep_lo... | 31.666667 | 151 | 0.777193 | import asyncio
import logging
from Esipraisal.Esipraisal import Esipraisal
ep_log = logging.getLogger("Esipraisal")
ep_log.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
ep_lo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
69656441d9c0bf3b5e0c5066856ee54e3a84cc09 | 147 | py | Python | reddit2telegram/channels/r_goodanimemes/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 187 | 2016-09-20T09:15:54.000Z | 2022-03-29T12:22:33.000Z | reddit2telegram/channels/r_goodanimemes/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 84 | 2016-09-22T14:25:07.000Z | 2022-03-19T01:26:17.000Z | reddit2telegram/channels/r_goodanimemes/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 172 | 2016-09-21T15:39:39.000Z | 2022-03-16T15:15:58.000Z | #encoding:utf-8
subreddit = 'goodanimemes'
t_channel = '@r_goodanimemes'
| 16.333333 | 38 | 0.755102 | #encoding:utf-8
subreddit = 'goodanimemes'
t_channel = '@r_goodanimemes'
def send_post(submission, r2t):
return r2t.send_simple(submission)
| 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 23 |
ee9a6c5456efb857c26a2d7a258bbd6b0bf0d4f4 | 1,369 | py | Python | pymoo/learning/part_1.py | ubeydtalha/bitirme-projesi | 71601eb04a5e8a0aa93357ddf8b978d68eae6cdc | [
"MIT"
] | null | null | null | pymoo/learning/part_1.py | ubeydtalha/bitirme-projesi | 71601eb04a5e8a0aa93357ddf8b978d68eae6cdc | [
"MIT"
] | null | null | null | pymoo/learning/part_1.py | ubeydtalha/bitirme-projesi | 71601eb04a5e8a0aa93357ddf8b978d68eae6cdc | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
plt.rc('font', family='serif')
X1 , X2 = np.meshgrid(np.linspace(-2,2,500),np.linspace(-2,2,500))
F1 = X1**2 + X2**2
F2 = (X1-1)**2+X2**2
G = X1**2 - X1 + 3/16
G1 = 2 * (X1[0] - 0.1) * (X1[0] - 0.9)
G2 = 20 * (X1[0] - 0.4) * (X1[0] - 0.6)
levels = [0.02, 0.1 , 0... | 29.76087 | 87 | 0.620161 | import numpy as np
import matplotlib.pyplot as plt
plt.rc('font', family='serif')
X1 , X2 = np.meshgrid(np.linspace(-2,2,500),np.linspace(-2,2,500))
F1 = X1**2 + X2**2
F2 = (X1-1)**2+X2**2
G = X1**2 - X1 + 3/16
G1 = 2 * (X1[0] - 0.1) * (X1[0] - 0.9)
G2 = 20 * (X1[0] - 0.4) * (X1[0] - 0.6)
levels = [0.02, 0.1 , 0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11e5788ea89ce816b5cc94614412f19c35457815 | 4,923 | py | Python | tests/test_models.py | zbohm/aldryn-translation-tools | 3e86f575fea12124a25a6c2d28e10324347d6c5e | [
"BSD-3-Clause"
] | null | null | null | tests/test_models.py | zbohm/aldryn-translation-tools | 3e86f575fea12124a25a6c2d28e10324347d6c5e | [
"BSD-3-Clause"
] | null | null | null | tests/test_models.py | zbohm/aldryn-translation-tools | 3e86f575fea12124a25a6c2d28e10324347d6c5e | [
"BSD-3-Clause"
] | 1 | 2020-09-10T23:39:48.000Z | 2020-09-10T23:39:48.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 32.82 | 71 | 0.639651 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.test import TransactionTestCase
from django.utils.translation import ugettext_lazy as _
from test_addon.models import Complex, Simple, Unconventional
class TestTranslatableAutoSlugifyMixin(TransactionTestCase):
def test_simple_slug(se... | 0 | 0 | 0 | 4,670 | 0 | 0 | 0 | 96 | 91 |
6571d06b26e9d55f7b954eee07d36c375ace0e0f | 1,527 | py | Python | api/predict.py | xuhdev/MAX-Breast-Cancer-Mitosis-Detector | c7e777311da070994466f1bf45541451e18b8034 | [
"Apache-2.0"
] | null | null | null | api/predict.py | xuhdev/MAX-Breast-Cancer-Mitosis-Detector | c7e777311da070994466f1bf45541451e18b8034 | [
"Apache-2.0"
] | null | null | null | api/predict.py | xuhdev/MAX-Breast-Cancer-Mitosis-Detector | c7e777311da070994466f1bf45541451e18b8034 | [
"Apache-2.0"
] | null | null | null | from flask_restplus import fields
from werkzeug.datastructures import FileStorage
from maxfw.core import MAX_API
input_parser = MAX_API.parser()
input_parser.add_argument('image', type=FileStorage, location='files', required=True,
help='An image file encoded as PNG with the size 64*64')
labe... | 34.704545 | 113 | 0.683039 | from core.model import ModelWrapper
from flask_restplus import fields, abort
from werkzeug.datastructures import FileStorage
from maxfw.core import MAX_API, PredictAPI
input_parser = MAX_API.parser()
input_parser.add_argument('image', type=FileStorage, location='files', required=True,
help='A... | 0 | 633 | 0 | 76 | 0 | 0 | 0 | 33 | 45 |
13a86095619b618630a1898ef9c8fa97e0d04df6 | 608 | py | Python | examples/03-image/04-quad.py | mcjocobe/drawExploration | 2c50526ef14dea5bc3802b7fda08871919d62ac4 | [
"BSD-3-Clause"
] | 76 | 2015-01-21T11:21:08.000Z | 2022-02-04T13:33:19.000Z | examples/03-image/04-quad.py | mcjocobe/drawExploration | 2c50526ef14dea5bc3802b7fda08871919d62ac4 | [
"BSD-3-Clause"
] | 8 | 2015-11-12T07:42:58.000Z | 2020-06-09T10:01:15.000Z | examples/03-image/04-quad.py | mcjocobe/drawExploration | 2c50526ef14dea5bc3802b7fda08871919d62ac4 | [
"BSD-3-Clause"
] | 23 | 2015-01-12T12:07:40.000Z | 2020-04-13T16:32:15.000Z | # Add the upper directory (where the nodebox module is) to the search path.
import os, sys; sys.path.insert(0, os.path.join("..",".."))
img = Image("creature.png")
# The image.quad property describes the four-sided polygon
# on which an image texture is "mounted".
# This is not necessarily a rectangle, the corners c... | 26.434783 | 75 | 0.703947 | # Add the upper directory (where the nodebox module is) to the search path.
import os, sys; sys.path.insert(0, os.path.join("..",".."))
from nodebox.graphics import *
img = Image("creature.png")
# The image.quad property describes the four-sided polygon
# on which an image texture is "mounted".
# This is not necess... | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 9 | 46 |
0b20183397bcfd04f62df163fded2c064174a562 | 4,874 | py | Python | src/five/grok/meta.py | zopefoundation/five.grok | d5fcbe2e081a4cec96d8ec658498f9fc33963bf9 | [
"ZPL-2.1"
] | 1 | 2016-10-26T16:45:57.000Z | 2016-10-26T16:45:57.000Z | src/five/grok/meta.py | zopefoundation/five.grok | d5fcbe2e081a4cec96d8ec658498f9fc33963bf9 | [
"ZPL-2.1"
] | 2 | 2021-01-05T14:30:32.000Z | 2021-03-25T18:38:06.000Z | src/five/grok/meta.py | zopefoundation/five.grok | d5fcbe2e081a4cec96d8ec658498f9fc33963bf9 | [
"ZPL-2.1"
] | 2 | 2015-04-03T04:41:12.000Z | 2019-08-20T08:02:52.000Z | #############################################################################
#
# Copyright (c) 2008 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFT... | 34.567376 | 78 | 0.659007 | #############################################################################
#
# Copyright (c) 2008 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFT... | 0 | 0 | 0 | 3,121 | 0 | 410 | 0 | 184 | 354 |
699b48ffb0f7def74fa65d53a33552fec5ab2029 | 283 | py | Python | utils/jax_utils/jax_startup.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | 1 | 2021-03-22T14:16:43.000Z | 2021-03-22T14:16:43.000Z | utils/jax_utils/jax_startup.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | null | null | null | utils/jax_utils/jax_startup.py | Jakob-Unfried/msc-legacy | 2c41f3f714936c25dd534bd66da802c26176fcfa | [
"MIT"
] | null | null | null | """
configure jax at startup
"""
| 17.6875 | 56 | 0.699647 | """
configure jax at startup
"""
from jax.config import config
def startup():
# Jax config (needs to be executed right at startup)
config.update("jax_enable_x64", True)
def debugging():
config.update("jax_enable_x64", True)
config.update("jax_debug_nans", True)
| 0 | 0 | 0 | 0 | 0 | 171 | 0 | 8 | 69 |
2c5adae6fbb8596c949c80584ff15841235c705d | 968 | py | Python | renew/advancedclass/enumclass.py | ianzhengnan/learnpy | ed1736ac976d56253183399466a167fb9319f869 | [
"Apache-2.0"
] | 1 | 2017-06-12T03:12:29.000Z | 2017-06-12T03:12:29.000Z | renew/advancedclass/enumclass.py | ianzhengnan/learnpy | ed1736ac976d56253183399466a167fb9319f869 | [
"Apache-2.0"
] | null | null | null | renew/advancedclass/enumclass.py | ianzhengnan/learnpy | ed1736ac976d56253183399466a167fb9319f869 | [
"Apache-2.0"
] | null | null | null |
from enum import Enum
Month = Enum('Month', ('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'))
for name, member in Month.__members__.items():
print(name, '=>', member, ',', member.value)
# Jan => Month.Jan , 1
# Feb => Month.Feb , 2
# Mar => Month.Mar , 3
# Apr => Month.Apr , 4
#... | 18.615385 | 107 | 0.594008 |
from enum import Enum, unique
Month = Enum('Month', ('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'))
for name, member in Month.__members__.items():
print(name, '=>', member, ',', member.value)
# Jan => Month.Jan , 1
# Feb => Month.Feb , 2
# Mar => Month.Mar , 3
# Apr => Month.A... | 18 | 70 | 0 | 0 | 0 | 0 | 0 | 8 | 22 |
cab45f526ea303c3c63b0a5eb65fac294ce0e7d0 | 1,279 | py | Python | force_wfmanager/tests/dummy_classes/dummy_wfmanager.py | force-h2020/force-wfmanager | bcd488cd37092cacd9d0c81b544ee8c1654d1d92 | [
"BSD-2-Clause"
] | 1 | 2019-08-19T16:02:20.000Z | 2019-08-19T16:02:20.000Z | force_wfmanager/tests/dummy_classes/dummy_wfmanager.py | force-h2020/force-wfmanager | bcd488cd37092cacd9d0c81b544ee8c1654d1d92 | [
"BSD-2-Clause"
] | 396 | 2017-07-18T15:19:55.000Z | 2021-05-03T06:23:06.000Z | force_wfmanager/tests/dummy_classes/dummy_wfmanager.py | force-h2020/force-wfmanager | bcd488cd37092cacd9d0c81b544ee8c1654d1d92 | [
"BSD-2-Clause"
] | 2 | 2019-03-05T16:23:10.000Z | 2020-04-16T08:59:11.000Z | # (C) Copyright 2010-2020 Enthought, Inc., Austin, TX
# All rights reserved.
| 25.078431 | 76 | 0.692729 | # (C) Copyright 2010-2020 Enthought, Inc., Austin, TX
# All rights reserved.
from envisage.core_plugin import CorePlugin
from envisage.ui.tasks.tasks_plugin import TasksPlugin
from force_wfmanager.tests.dummy_classes.dummy_data_view import (
DummyExtensionPluginWithDataView
)
from force_wfmanager.tests.dummy_cl... | 0 | 0 | 0 | 765 | 0 | 0 | 0 | 251 | 181 |
ddff0c4a23bdd4d569ad29d522544468116098ff | 446 | py | Python | tests/py/test_currencies.py | Scrumplex/liberapay.com | 2ef3477ceebc6e85b5db8c5a4a447195889cd4e9 | [
"PostgreSQL",
"CC0-1.0"
] | null | null | null | tests/py/test_currencies.py | Scrumplex/liberapay.com | 2ef3477ceebc6e85b5db8c5a4a447195889cd4e9 | [
"PostgreSQL",
"CC0-1.0"
] | null | null | null | tests/py/test_currencies.py | Scrumplex/liberapay.com | 2ef3477ceebc6e85b5db8c5a4a447195889cd4e9 | [
"PostgreSQL",
"CC0-1.0"
] | null | null | null | from __future__ import division, print_function, unicode_literals
| 29.733333 | 85 | 0.674888 | from __future__ import division, print_function, unicode_literals
from liberapay.testing import EUR, USD, Harness
class TestCurrencies(Harness):
def test_convert(self):
original = EUR('1.00')
expected = USD('1.20')
actual = self.db.one("SELECT convert(%s, %s)", (original, expected.curren... | 0 | 0 | 0 | 307 | 0 | 0 | 0 | 26 | 46 |
303f1277d22a2f01641fe04d7dedfbc973da5b6d | 2,565 | py | Python | models/modelos.py | Patataman/StudentApi | 42ff5651cdef2aeda8c012924db39554ab7762ce | [
"MIT"
] | 1 | 2016-03-11T22:42:55.000Z | 2016-03-11T22:42:55.000Z | models/modelos.py | Patataman/StudentApi | 42ff5651cdef2aeda8c012924db39554ab7762ce | [
"MIT"
] | null | null | null | models/modelos.py | Patataman/StudentApi | 42ff5651cdef2aeda8c012924db39554ab7762ce | [
"MIT"
] | null | null | null | from flask.ext.sqlalchemy import SQLAlchemy
db = SQLAlchemy()
#Column('user_id', Integer, ForeignKey("user.user_id"), nullable=False),
| 29.147727 | 185 | 0.728265 | from flask.ext.sqlalchemy import SQLAlchemy
from sqlalchemy import ForeignKey
from sqlalchemy.sql import select
from sqlalchemy.orm import relationship
from sqlalchemy.dialects.postgresql import JSON, TEXT
db = SQLAlchemy()
#Column('user_id', Integer, ForeignKey("user.user_id"), nullable=False),
class Persona(db.Mo... | 0 | 411 | 0 | 1,740 | 0 | 0 | 0 | 74 | 203 |
c06efbae0b2f960ea1ad2726615abc68ecf719f4 | 637 | py | Python | problema1.py | enzoyoshio/Problemas | 1e2ce20d9931ef28e57aa54af3fe1708927ebab9 | [
"MIT"
] | null | null | null | problema1.py | enzoyoshio/Problemas | 1e2ce20d9931ef28e57aa54af3fe1708927ebab9 | [
"MIT"
] | null | null | null | problema1.py | enzoyoshio/Problemas | 1e2ce20d9931ef28e57aa54af3fe1708927ebab9 | [
"MIT"
] | null | null | null | # lista de dicionario dado
listDict = [
{1 : 1, 2 : "oi", "nome" : "obrigado"},
{"Bolo" : "Cenoura", "Camaro" : "Verde", "nome" : "Sagrado"},
{1 : 10, "nome" : "oi", "caracol" : "obrigado"},
{"nome":"obrigado"}
]
# a chave que ser procurada
nome = "nome"
# inicializando a lista vazia
lista = []
# ve... | 27.695652 | 77 | 0.634223 | # lista de dicionario dado
listDict = [
{1 : 1, 2 : "oi", "nome" : "obrigado"},
{"Bolo" : "Cenoura", "Camarão" : "Verde", "nome" : "Sagrado"},
{1 : 10, "nome" : "oi", "caracol" : "obrigado"},
{"nome":"obrigado"}
]
# a chave que será procurada
nome = "nome"
# inicializando a lista vazia
lista = []
# ... | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7c97c1d349a7035b8c108e98916ffaaa384b38ef | 12,469 | py | Python | authors/apps/authentication/views.py | andela/ah-backend-realers | f4b0dbde16fed5e95ab3b1b60e365515e1fe6697 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/authentication/views.py | andela/ah-backend-realers | f4b0dbde16fed5e95ab3b1b60e365515e1fe6697 | [
"BSD-3-Clause"
] | 20 | 2019-05-27T13:05:44.000Z | 2021-06-10T21:29:36.000Z | authors/apps/authentication/views.py | andela/ah-backend-realers | f4b0dbde16fed5e95ab3b1b60e365515e1fe6697 | [
"BSD-3-Clause"
] | 6 | 2019-06-29T11:49:01.000Z | 2020-03-02T12:53:06.000Z | from rest_framework import exceptions
from .social_auth import ValidateSocialUser
check_user = ValidateSocialUser()
| 38.248466 | 121 | 0.678242 | from rest_framework import status, exceptions
from rest_framework.generics import RetrieveUpdateAPIView
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from django.conf import settings
from .models import User
from i... | 0 | 8,645 | 0 | 2,551 | 0 | 0 | 0 | 492 | 630 |
fc88e5944833ded64fa3cddeace07e5e0ee6b6f4 | 12,152 | py | Python | visual_phenomics_py/calculate.py | SeBassTian23/Visual-Phenomics-Python | 1ce9f2fff6bf47a7a4a2c9059eb534348b65b2b6 | [
"MIT"
] | null | null | null | visual_phenomics_py/calculate.py | SeBassTian23/Visual-Phenomics-Python | 1ce9f2fff6bf47a7a4a2c9059eb534348b65b2b6 | [
"MIT"
] | null | null | null | visual_phenomics_py/calculate.py | SeBassTian23/Visual-Phenomics-Python | 1ce9f2fff6bf47a7a4a2c9059eb534348b65b2b6 | [
"MIT"
] | null | null | null | """
Calculate additional parameters or recalculate parameters.
"""
def calculate(df=None, param='', *, fm='fm', f0='f0', fmp='fmp', f0p='f0p', fs='fs', fmpp='fmpp', f0pp='f0pp', fmf0=4.88, alias=None):
"""Calculate photosynthetic parameters
Calculate photosynthetic parameters from basic fluorescence paramete... | 44.028986 | 171 | 0.526991 | """
Calculate additional parameters or recalculate parameters.
"""
from visual_phenomics_py.parameters import *
from visual_phenomics_py.parameters_additional import *
def calculate(df=None, param='', *, fm='fm', f0='f0', fmp='fmp', f0p='f0p', fs='fs', fmpp='fmpp', f0pp='f0pp', fmf0=4.88, alias=None):
"""Calcula... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 45 |
8650240fd28ccf9c0925b49b1840e0cf02b48178 | 1,489 | py | Python | examples/adjacency_list.py | enpaul/peewee | 177f04cbce02851b0420e2002a72fa91ea9b309b | [
"MIT"
] | 8,289 | 2015-01-01T17:10:34.000Z | 2022-03-30T23:18:33.000Z | examples/adjacency_list.py | enpaul/peewee | 177f04cbce02851b0420e2002a72fa91ea9b309b | [
"MIT"
] | 2,015 | 2015-01-02T16:59:35.000Z | 2022-03-31T02:41:24.000Z | examples/adjacency_list.py | enpaul/peewee | 177f04cbce02851b0420e2002a72fa91ea9b309b | [
"MIT"
] | 1,740 | 2015-01-04T09:48:38.000Z | 2022-03-31T13:44:48.000Z |
db = SqliteDatabase(':memory:')
db.create_tables([Node])
tree = ('root', (
('n1', (
('c11', ()),
('c12', ()))),
('n2', (
('c21', ()),
('c22', (
('g221', ()),
('g222', ()))),
('c23', ()),
('c24', (
('g241', ()),
(... | 25.237288 | 78 | 0.552048 | from peewee import *
db = SqliteDatabase(':memory:')
class Node(Model):
name = TextField()
parent = ForeignKeyField('self', backref='children', null=True)
class Meta:
database = db
def __str__(self):
return self.name
def dump(self, _indent=0):
return (' ' * _indent + s... | 0 | 0 | 0 | 337 | 0 | 0 | 0 | -1 | 45 |
4567d33898daf9c73323f91f151e6d9eeb0b2e78 | 4,159 | py | Python | ihna/kozhukhov/imageanalysis/gui/dataprocessing/spatialfilterdlg.py | serik1987/ihna_kozhuhov_image_analysis | ccfb3b48cbf6b351acb10f8b99315c65281f8ab8 | [
"Unlicense"
] | null | null | null | ihna/kozhukhov/imageanalysis/gui/dataprocessing/spatialfilterdlg.py | serik1987/ihna_kozhuhov_image_analysis | ccfb3b48cbf6b351acb10f8b99315c65281f8ab8 | [
"Unlicense"
] | null | null | null | ihna/kozhukhov/imageanalysis/gui/dataprocessing/spatialfilterdlg.py | serik1987/ihna_kozhuhov_image_analysis | ccfb3b48cbf6b351acb10f8b99315c65281f8ab8 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8
| 38.509259 | 100 | 0.675884 | # -*- coding: utf-8
import numpy as np
import wx
from ihna.kozhukhov.imageanalysis import ImagingMap
from ihna.kozhukhov.imageanalysis.mapprocessing import spatial_filter
from ihna.kozhukhov.imageanalysis.gui.complexmapviewerdlg import ComplexMapViewerDlg
from .datatodataprocessor import DataToDataProcessor
class Sp... | 0 | 0 | 0 | 3,825 | 0 | 0 | 0 | 157 | 156 |
0a0eccb3c3b514b534fa9214a71cc84c4df6c16c | 6,017 | py | Python | pyalgotrade/technical/ma.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | 2 | 2015-04-03T10:29:14.000Z | 2017-01-21T05:55:00.000Z | pyalgotrade/technical/ma.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | null | null | null | pyalgotrade/technical/ma.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | null | null | null | # PyAlgoTrade
#
# Copyright 2011 Gabriel Martin Becedillas Ruiz
#
# 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... | 33.803371 | 116 | 0.651321 | # PyAlgoTrade
#
# Copyright 2011 Gabriel Martin Becedillas Ruiz
#
# 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... | 0 | 0 | 0 | 4,589 | 0 | 264 | 0 | 12 | 115 |
8a5f497112103293d27e66f42bcc18eee1df1536 | 3,137 | py | Python | src/nninst/backend/tensorflow/trace/resnet_18_cifar10_class_trace.py | uchuhimo/Ptolemy | 5c8ae188af30ee49d38f27d54c67af2eab9489e7 | [
"Apache-2.0"
] | 15 | 2020-08-24T07:11:20.000Z | 2021-09-13T08:03:42.000Z | src/nninst/backend/tensorflow/trace/resnet_18_cifar10_class_trace.py | uchuhimo/Ptolemy | 5c8ae188af30ee49d38f27d54c67af2eab9489e7 | [
"Apache-2.0"
] | 5 | 2021-02-28T17:30:26.000Z | 2021-06-15T09:33:00.000Z | src/nninst/backend/tensorflow/trace/resnet_18_cifar10_class_trace.py | uchuhimo/Ptolemy | 5c8ae188af30ee49d38f27d54c67af2eab9489e7 | [
"Apache-2.0"
] | 3 | 2020-10-22T09:11:11.000Z | 2021-01-16T14:49:34.000Z | # Copyright 2017 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 appl... | 31.059406 | 102 | 0.75263 | # Copyright 2017 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 appl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0 |
f77ea59bf822539953a84da90bca3bded5b1d71d | 4,051 | py | Python | spider/wenkubaidu/wenku.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | 1 | 2021-07-08T05:09:38.000Z | 2021-07-08T05:09:38.000Z | spider/wenkubaidu/wenku.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | null | null | null | spider/wenkubaidu/wenku.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | 1 | 2020-01-09T07:29:17.000Z | 2020-01-09T07:29:17.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
https://wenku.baidu.com/browse/getrequest?doc_id=a1eec6289b6648d7c1c7468f&pn=22&rn=1&type=ppt&callback=bd__cbs__s5lw72
https://wenku.baidu.com/browse/getrequest?doc_id=a1eec6289b6648d7c1c7468f&pn=23&rn=1&type=ppt&callback=bd__cbs__coo5j5
https://wenku.baidu.com/browse/... | 44.032609 | 883 | 0.689459 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import urllib
import requests
from bs4 import BeautifulSoup
"""
https://wenku.baidu.com/browse/getrequest?doc_id=a1eec6289b6648d7c1c7468f&pn=22&rn=1&type=ppt&callback=bd__cbs__s5lw72
https://wenku.baidu.com/browse/getrequest?doc_id=a1eec6289b6648d7c1c7468f&pn=23&rn=1&type... | 210 | 0 | 0 | 2,636 | 0 | 0 | 0 | -6 | 90 |
dc824dbc29f0b42ffaa3b7d3fe8147c1f7a32031 | 18,983 | py | Python | source/xgm_mod_options.py | Omni-9/warband_mod_source | c9737d7793ccdb185d8d3caedda0da915104e405 | [
"BSD-Source-Code"
] | 14 | 2018-09-20T23:01:27.000Z | 2021-05-25T11:05:09.000Z | source/xgm_mod_options.py | Omni-9/warband_mod_source | c9737d7793ccdb185d8d3caedda0da915104e405 | [
"BSD-Source-Code"
] | 44 | 2018-09-15T03:05:50.000Z | 2022-03-22T02:46:24.000Z | source/xgm_mod_options.py | Omni-9/warband_mod_source | c9737d7793ccdb185d8d3caedda0da915104e405 | [
"BSD-Source-Code"
] | 13 | 2018-10-02T11:45:24.000Z | 2021-08-22T18:41:44.000Z | #import string
############################################################################
## 0) overlay id (not used atm, but can allow searches in future. just put something unique)
## 1) overlay type (defined in xgm_mod_options_header)
## 2) overlay type specific parameters (e.g. for number box, it can be lower/up... | 30.716828 | 155 | 0.566928 | from header_common import *
from header_presentations import *
from header_mission_templates import *
from ID_meshes import *
from header_operations import *
from header_triggers import *
from module_constants import *
#import string
from xgm_mod_options_header import *
###############################################... | 0 | 0 | 0 | 1,597 | 0 | 212 | 0 | 86 | 244 |
8abd70df157d14db679e659f636c0cd688861cb3 | 6,182 | py | Python | examples/pde/utilities3.py | mkhodak/relax | f6b5a318d74fc1209ba67ec95d2118698194f9c5 | [
"MIT"
] | 11 | 2021-10-01T17:23:18.000Z | 2022-03-31T22:10:36.000Z | examples/pde/utilities3.py | mkhodak/relax | f6b5a318d74fc1209ba67ec95d2118698194f9c5 | [
"MIT"
] | null | null | null | examples/pde/utilities3.py | mkhodak/relax | f6b5a318d74fc1209ba67ec95d2118698194f9c5 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
#################################################
#
# Utilities
#
#################################################
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# reading data
# normalization, pointwise gaussian
# normalization, Gaussian
# normalization... | 26.761905 | 113 | 0.550793 | import torch
import numpy as np
import scipy.io
import h5py
import torch.nn as nn
#################################################
#
# Utilities
#
#################################################
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# reading data
class MatReader(object):
def _... | 0 | 0 | 0 | 5,588 | 0 | 0 | 0 | -19 | 198 |
15b531407df3e093f666b046edd03aed1f14e76a | 4,874 | py | Python | book_search/models.py | drogers141/book-search | 0745eb3b25023a44da4c6e7fc4d96de086549f04 | [
"MIT"
] | null | null | null | book_search/models.py | drogers141/book-search | 0745eb3b25023a44da4c6e7fc4d96de086549f04 | [
"MIT"
] | null | null | null | book_search/models.py | drogers141/book-search | 0745eb3b25023a44da4c6e7fc4d96de086549f04 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
def extract_author_and_title(metadata: dict) -> (str, str):
"""Try to get the author and title from the metadata.
Return empty strings if not found."""
author, title = '', ''
for key in ('Author', 'author', 'dc:creator', 'creator', 'meta:author'):
... | 38.078125 | 115 | 0.649569 | from io import StringIO
import re
from pathlib import Path
import logging
from django.db import models
from django.conf import settings
from bs4 import BeautifulSoup
from tika import parser
logger = logging.getLogger(__name__)
class TikaParseError(RuntimeError):
"""Raised when the conversion of a document into ... | 0 | 0 | 0 | 4,060 | 0 | 0 | 0 | 21 | 224 |
7b9c55eaa5d05bc09b14fe1a2ce8e97213b9c0ef | 2,284 | py | Python | bminf/core/context.py | AdamBear/BMInf | 8e650dc30e3ed9d7d628153b0a4dbd76d97ea948 | [
"Apache-2.0"
] | 206 | 2021-09-23T08:55:29.000Z | 2022-03-26T13:15:41.000Z | bminf/core/context.py | AdamBear/BMInf | 8e650dc30e3ed9d7d628153b0a4dbd76d97ea948 | [
"Apache-2.0"
] | 24 | 2021-09-24T05:54:39.000Z | 2022-03-25T01:44:49.000Z | bminf/core/context.py | AdamBear/BMInf | 8e650dc30e3ed9d7d628153b0a4dbd76d97ea948 | [
"Apache-2.0"
] | 34 | 2021-09-26T02:17:29.000Z | 2022-03-28T07:01:54.000Z | import logging
logger = logging.getLogger(__name__) | 30.453333 | 91 | 0.612522 | from typing import List, Tuple, Type
from .tensor import Tensor
from .device import Device
from .allocator import Allocator
from cpm_kernels.library import cudart
import numpy as np
import logging
logger = logging.getLogger(__name__)
class Context:
def __init__(self,
device_idx : List[int],
... | 0 | 109 | 0 | 1,919 | 0 | 0 | 0 | 50 | 155 |
d79f6521598d0b35ad0abac23c970dfac3a65db6 | 3,999 | py | Python | code/python_scripts/dlinked_list.py | lukaschoebel/LUMOS | 5d084e487d937957896a58ef3ab719f86074fa9a | [
"MIT"
] | null | null | null | code/python_scripts/dlinked_list.py | lukaschoebel/LUMOS | 5d084e487d937957896a58ef3ab719f86074fa9a | [
"MIT"
] | null | null | null | code/python_scripts/dlinked_list.py | lukaschoebel/LUMOS | 5d084e487d937957896a58ef3ab719f86074fa9a | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
dlinkedList = DoublyLinkedList(10)
dlinkedList.append(20)
dlinkedList.append(30)
dlinkedList.prepend(-5)
dlinkedList.prepend(-8)
dlinkedList.insert(value=12, index=2)
dlinkedList.print_list()
dlinkedList.remove(index=5)
dlinkedList.insert(val... | 26.483444 | 85 | 0.523631 | class Node:
def __init__(self, value):
self.value = value
self.prev = None
self.next = None
class DoublyLinkedList:
def __init__(self, value):
self.head = Node(value)
self.tail = self.head
self.length = 1
def append(self, value):
''' Adds a value to... | 0 | 0 | 0 | 3,502 | 0 | 0 | 0 | 0 | 45 |
7893b475e4bb1bb6f28c83e8b1af171635285c0f | 843 | py | Python | setup.py | BOLD-lab/abbreviator | aca379362f04033c7cd1c62ca50b68280f3799c7 | [
"MIT"
] | null | null | null | setup.py | BOLD-lab/abbreviator | aca379362f04033c7cd1c62ca50b68280f3799c7 | [
"MIT"
] | null | null | null | setup.py | BOLD-lab/abbreviator | aca379362f04033c7cd1c62ca50b68280f3799c7 | [
"MIT"
] | null | null | null | import setuptools
import os
with open("README.md", "r") as fh:
long_description = fh.read()
if os.environ.get('CI_COMMIT_TAG'):
version = os.environ['CI_COMMIT_TAG']
else:
version = "0.0.4"
setuptools.setup(
name="abbreviator",
version=version,
author="Stephanie Wagenaar",
author_email="s... | 28.1 | 71 | 0.679715 | import setuptools
import os
with open("README.md", "r") as fh:
long_description = fh.read()
if os.environ.get('CI_COMMIT_TAG'):
version = os.environ['CI_COMMIT_TAG']
else:
version = "0.0.4"
setuptools.setup(
name="abbreviator",
version=version,
author="Stephanie Wagenaar",
author_email="s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9c86682e5fb8a773190f40daabb31d80b79ab5ec | 750 | py | Python | week3/array_partition1.py | ravichalla/wallbreaker | 0d587f12c60df5e4bca47f9183484a69d284d1f5 | [
"MIT"
] | null | null | null | week3/array_partition1.py | ravichalla/wallbreaker | 0d587f12c60df5e4bca47f9183484a69d284d1f5 | [
"MIT"
] | null | null | null | week3/array_partition1.py | ravichalla/wallbreaker | 0d587f12c60df5e4bca47f9183484a69d284d1f5 | [
"MIT"
] | null | null | null | '''
QUESTION:
561. Array Partition I
Given an array of 2n integers, your task is to group these integers into n pairs of integer, say (a1, b1), (a2, b2), ..., (an, bn) which makes sum of min(ai, bi) for all i from 1 to n as large as possible.
Example 1:
Input: [1,4,3,2]
Output: 4
Explanation: n is 2, and the maximum... | 25.862069 | 205 | 0.64 | '''
QUESTION:
561. Array Partition I
Given an array of 2n integers, your task is to group these integers into n pairs of integer, say (a1, b1), (a2, b2), ..., (an, bn) which makes sum of min(ai, bi) for all i from 1 to n as large as possible.
Example 1:
Input: [1,4,3,2]
Output: 4
Explanation: n is 2, and the maximum... | 0 | 0 | 0 | 169 | 0 | 0 | 0 | 0 | 23 |
96c66bbd32ce6b5cd183eb7717b9022db143812a | 4,881 | py | Python | cisco_dnac_mac_lookup_runner.py | sarar0sa/Cisco_Mac_Lookup | b657b9ed0ecc60df008e02b6e008b09914cf07bf | [
"Apache-2.0"
] | null | null | null | cisco_dnac_mac_lookup_runner.py | sarar0sa/Cisco_Mac_Lookup | b657b9ed0ecc60df008e02b6e008b09914cf07bf | [
"Apache-2.0"
] | null | null | null | cisco_dnac_mac_lookup_runner.py | sarar0sa/Cisco_Mac_Lookup | b657b9ed0ecc60df008e02b6e008b09914cf07bf | [
"Apache-2.0"
] | null | null | null |
if __name__ == "__main__":
# Cool banner ofc
print("""
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMM... | 59.52439 | 110 | 0.562795 | from time import sleep
import csv
from datetime import datetime
import mac_vendor_lookup
import cisco_service
class CiscoDnacMacLookupRunner():
headers = {'Content-Type': 'application/json'}
def __init__(self):
self.cisco = cisco_service.CiscoService()
self.mac_lookup = mac_vendor_lookup.MacL... | 396 | 0 | 0 | 1,837 | 0 | 0 | 0 | 0 | 133 |
5c0946952b71037bb1f97ce65af023f47196a25c | 35,474 | py | Python | files/runs_small/cores_2/ocean.cont/power.py | ST4NSB/sniper-simulator-predictions | 1f0fe2a10fda55fceea053464ea202bfe2effafc | [
"MIT"
] | 1 | 2021-03-08T03:39:23.000Z | 2021-03-08T03:39:23.000Z | files/runs_small/cores_2/ocean.cont/power.py | ST4NSB/sniper-simulator-predictions | 1f0fe2a10fda55fceea053464ea202bfe2effafc | [
"MIT"
] | null | null | null | files/runs_small/cores_2/ocean.cont/power.py | ST4NSB/sniper-simulator-predictions | 1f0fe2a10fda55fceea053464ea202bfe2effafc | [
"MIT"
] | null | null | null | power = {'BUSES': {'Area': 1.08752,
'Bus/Area': 1.08752,
'Bus/Gate Leakage': 0.00541455,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0564625,
'Bus/Subthreshold Leakage with power gating': 0.0211734,
'Gate... | 73.59751 | 124 | 0.677398 | power = {'BUSES': {'Area': 1.08752,
'Bus/Area': 1.08752,
'Bus/Gate Leakage': 0.00541455,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0564625,
'Bus/Subthreshold Leakage with power gating': 0.0211734,
'Gate... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e9a2f6e36e21d2f812a566f6b88b2d9f4025924d | 1,890 | py | Python | app/main.py | alf1e/CHUM-Package-manager | 814290e344c82a8e0fb48435a745b15ae178eefb | [
"MIT"
] | null | null | null | app/main.py | alf1e/CHUM-Package-manager | 814290e344c82a8e0fb48435a745b15ae178eefb | [
"MIT"
] | null | null | null | app/main.py | alf1e/CHUM-Package-manager | 814290e344c82a8e0fb48435a745b15ae178eefb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#########
#LICENSE#
#########
'''
MIT License
Copyright (c) 2021 ItsMeAlfie0
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitat... | 29.076923 | 78 | 0.691534 | #!/usr/bin/env python
#########
#LICENSE#
#########
'''
MIT License
Copyright (c) 2021 ItsMeAlfie0
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10235f4c22917028f59e78a277404007dacc9d74 | 1,058 | py | Python | pin ponge.py | glebyad/ping-pong | 2fabfa00b51f5c50686f8c6de10864722f3d3968 | [
"CC0-1.0"
] | null | null | null | pin ponge.py | glebyad/ping-pong | 2fabfa00b51f5c50686f8c6de10864722f3d3968 | [
"CC0-1.0"
] | null | null | null | pin ponge.py | glebyad/ping-pong | 2fabfa00b51f5c50686f8c6de10864722f3d3968 | [
"CC0-1.0"
] | null | null | null |
#
window = display.set_mode((1000, 700))
display.set_caption('')
#
background = transform.scale(image.load('ping.jpg'), (1000, 700))
# 2
x1 = 0
y1 = 300
x2 = 900
y2 = 300
sprite1 = transform.scale(image.load('raketka1.png'), (100, 100)
)
sprite2 = transform.scale(image.load('raketka2.jpg'), ... | 19.592593 | 66 | 0.571834 | from pygame import *
#создай окно игры
window = display.set_mode((1000, 700))
display.set_caption('догонялки')
#задай фон сцены
background = transform.scale(image.load('ping.jpg'), (1000, 700))
#создай 2 спрайта и размести их на сцене
x1 = 0
y1 = 300
x2 = 900
y2 = 300
sprite1 = transform.scale(image.lo... | 134 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 23 |
4095a34c413d03e43c4c7d0136819b20e9686d8b | 3,010 | py | Python | containerchaos/measure_response_time.py | containerchaos/containerchaos | 3e44c9587542678d6563b3f07299fb33c88a1f3e | [
"MIT"
] | null | null | null | containerchaos/measure_response_time.py | containerchaos/containerchaos | 3e44c9587542678d6563b3f07299fb33c88a1f3e | [
"MIT"
] | 9 | 2019-02-15T16:59:39.000Z | 2019-02-26T22:42:10.000Z | containerchaos/measure_response_time.py | containerchaos/containerchaos | 3e44c9587542678d6563b3f07299fb33c88a1f3e | [
"MIT"
] | 1 | 2019-07-31T13:38:51.000Z | 2019-07-31T13:38:51.000Z | import csv
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import requests
import seaborn as sns
def measure_response_time(url, criteria, write=True):
'''
Measures and saves an API request's response time to a CSV file
:param url: The URL for API request
:param criteria: The crit... | 32.021277 | 108 | 0.707641 | import csv
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import requests
import seaborn as sns
def measure_response_time(url, criteria, write=True):
'''
Measures and saves an API request's response time to a CSV file
:param url: The URL for API request
:param criteria: The crit... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
821041c230e611989e036de3de8d4f9ba908a39e | 1,620 | py | Python | tracking/main.py | chan-w/vaccine-text-signup | f926aa76724ffd5fe1d473fd6cdb70ed50ee982d | [
"MIT"
] | null | null | null | tracking/main.py | chan-w/vaccine-text-signup | f926aa76724ffd5fe1d473fd6cdb70ed50ee982d | [
"MIT"
] | null | null | null | tracking/main.py | chan-w/vaccine-text-signup | f926aa76724ffd5fe1d473fd6cdb70ed50ee982d | [
"MIT"
] | null | null | null | api_key = "AIzaSyAedPSTmyoW1ejPtwG_cSu7fEjLxOOUrXg"
# Uses the Geocode API
import requests
from urllib.parse import urlencode
#Input address here!
lat, lng = extract_lat_lng("1600 Amphitheatre Parkway, Mountain View, CA")
places_endpoint_2 = "https://maps.googleapis.com/maps/api/place/nearbysearch/json"
params_2 = {... | 27.931034 | 93 | 0.683951 | api_key = "AIzaSyAedPSTmyoW1ejPtwG_cSu7fEjLxOOUrXg"
# Uses the Geocode API
import requests
from urllib.parse import urlencode
def extract_lat_lng(address_or_postalcode, data_type = 'json'):
endpoint = f"https://maps.googleapis.com/maps/api/geocode/{data_type}"
params = {"address": address_or_postalcode, "key":... | 0 | 0 | 0 | 0 | 0 | 504 | 0 | 0 | 23 |
f74c328b4e8be5db4ab0478db22db83a43dfc36e | 38,645 | py | Python | petitions/migrations/01000_add_counties_subcounties_courts_prisons_offences.py | DavidWaichari/pomac | 79273c34dc54a301ed9fd802b0c2c487b2ac5d92 | [
"MIT"
] | null | null | null | petitions/migrations/01000_add_counties_subcounties_courts_prisons_offences.py | DavidWaichari/pomac | 79273c34dc54a301ed9fd802b0c2c487b2ac5d92 | [
"MIT"
] | null | null | null | petitions/migrations/01000_add_counties_subcounties_courts_prisons_offences.py | DavidWaichari/pomac | 79273c34dc54a301ed9fd802b0c2c487b2ac5d92 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.1 on 2018-01-28 19:30
| 56.25182 | 112 | 0.73712 | # Generated by Django 2.0.1 on 2018-01-28 19:30
from django.db import migrations
def add_initial_data(apps, schema_editor):
County = apps.get_model('petitions', 'County')
Court = apps.get_model('petitions', 'Court')
SubCounty = apps.get_model('petitions', 'SubCounty')
Prison = apps.get_model('petit... | 12 | 0 | 0 | 158 | 0 | 38,352 | 0 | 11 | 69 |