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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ef10cd15a79620350ffb7465a72e19681f8b6b91 | 9,837 | py | Python | ogn_lib/client.py | akolar/ogn-lib | 6b307cad9bf82316a69bb8c82ebfa734040e2689 | [
"MIT"
] | null | null | null | ogn_lib/client.py | akolar/ogn-lib | 6b307cad9bf82316a69bb8c82ebfa734040e2689 | [
"MIT"
] | 17 | 2017-12-16T12:49:18.000Z | 2018-05-21T10:12:29.000Z | ogn_lib/client.py | akolar/ogn-lib | 6b307cad9bf82316a69bb8c82ebfa734040e2689 | [
"MIT"
] | null | null | null | """
ogn_lib.client
--------------
This module contains methods and classes related to opening and managing a
connection to OGN's APRS servers.
"""
import logging
logger = logging.getLogger(__name__)
| 34.637324 | 79 | 0.576192 | """
ogn_lib.client
--------------
This module contains methods and classes related to opening and managing a
connection to OGN's APRS servers.
"""
import logging
import socket
import time
import ogn_lib
logger = logging.getLogger(__name__)
class OgnClient:
"""
Holds an APRS session.
Provides methods... | 0 | 0 | 0 | 9,568 | 0 | 0 | 0 | -25 | 90 |
fe3843665c0d86320f5966e1812aeb081e3aca5c | 2,171 | py | Python | src/hyperloop/Python/OldMagnePlaneCode/pointwise.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 1 | 2021-04-29T00:23:03.000Z | 2021-04-29T00:23:03.000Z | src/hyperloop/Python/OldMagnePlaneCode/pointwise.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 9 | 2016-11-23T09:10:34.000Z | 2016-12-06T01:10:09.000Z | src/hyperloop/Python/OldMagnePlaneCode/pointwise.py | jcchin/Hyperloop_v2 | 73861d2207af8738425c1d484909ed0433b9653f | [
"Apache-2.0"
] | 11 | 2016-01-19T20:26:35.000Z | 2021-02-13T11:16:20.000Z | ''' Pointwise wrapper '''
# --- Python/system level imports
# --- OpenMDAO main and library imports
from openmdao.api import Problem, Group
if __name__ == "__main__":
# -------------------------
# --- Default Test Case ---
# -------------------------
p = Problem(root=Group())
p.root.add('point... | 33.4 | 100 | 0.460617 | ''' Pointwise wrapper '''
import os
# --- Python/system level imports
from subprocess import call
from string import Template
# --- OpenMDAO main and library imports
from openmdao.api import Problem, Group, ExternalCode, IndepVarComp
class Pointwise(ExternalCode):
''' OpenMDAO component for executing Pointwise ... | 0 | 0 | 0 | 1,688 | 0 | 0 | 0 | 28 | 89 |
1aa8fae98191b44560b49131bb35654547b70907 | 7,252 | py | Python | simulator/results/parse_summary.py | yrrah/cs6620-fall21-intelligent-assignment-of-data-to-dedup-nodes | 9b08941c05f5af862b5dafe9d8dc289a98c393a6 | [
"MIT"
] | 1 | 2021-10-03T18:22:58.000Z | 2021-10-03T18:22:58.000Z | simulator/results/parse_summary.py | yrrah/cs6620-fall21-intelligent-assignment-of-data-to-dedup-nodes | 9b08941c05f5af862b5dafe9d8dc289a98c393a6 | [
"MIT"
] | null | null | null | simulator/results/parse_summary.py | yrrah/cs6620-fall21-intelligent-assignment-of-data-to-dedup-nodes | 9b08941c05f5af862b5dafe9d8dc289a98c393a6 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 43.951515 | 123 | 0.632929 | import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
def plot_reversed(ax, save, show, title):
# ax.set_xticklabels(df.run_combo, rotation = 90)
ax.yaxis.tick_right()
ax.yaxis.set_label_position("right")
ax.invert_xaxis()
plt.gcf().subplots_adjust(right=0.5)
# plt.tight_... | 0 | 0 | 0 | 0 | 0 | 6,848 | 0 | 10 | 342 |
7956dd2d67cc23b3e4168199ecf51890e6f12e18 | 47,465 | py | Python | model/models.py | irenetrampoline/clustering-interval-censored | f6ab06a6cf3098ffe006d1b95d1b4f1d158b0bc4 | [
"MIT"
] | 1 | 2022-02-03T08:47:45.000Z | 2022-02-03T08:47:45.000Z | model/models.py | irenetrampoline/clustering-interval-censored | f6ab06a6cf3098ffe006d1b95d1b4f1d158b0bc4 | [
"MIT"
] | null | null | null | model/models.py | irenetrampoline/clustering-interval-censored | f6ab06a6cf3098ffe006d1b95d1b4f1d158b0bc4 | [
"MIT"
] | null | null | null | import torch.nn as nn
# torch.manual_seed(0)
# torch.backends.cudnn.deterministic = True
# torch.backends.cudnn.benchmark = False
import sys
sys.path.append('/home/REDACTED/chf-github/model/')
sys.path.append('../evaluation/')
sys.path.append('../plot/')
import matplotlib.pylab as pylab
params = {'legend.fontsiz... | 41.893204 | 243 | 0.558601 | import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# torch.manual_seed(0)
# torch.backends.cudnn.deterministic = True
# torch.backends.cudnn.benchmark = False
from pyro.distributions import MultivariateNormal, Normal, Independent
from sklearn.cluster import KMeans, ... | 0 | 0 | 0 | 36,004 | 0 | 10,134 | 0 | 254 | 420 |
b79225ade75abaa533e53bd620f9738f44fdded3 | 1,125 | py | Python | config/oktoberkite/control/crosswind_airspeed_controller.py | leozz37/makani | c94d5c2b600b98002f932e80a313a06b9285cc1b | [
"Apache-2.0"
] | 1,178 | 2020-09-10T17:15:42.000Z | 2022-03-31T14:59:35.000Z | config/oktoberkite/control/crosswind_airspeed_controller.py | leozz37/makani | c94d5c2b600b98002f932e80a313a06b9285cc1b | [
"Apache-2.0"
] | 1 | 2020-05-22T05:22:35.000Z | 2020-05-22T05:22:35.000Z | config/oktoberkite/control/crosswind_airspeed_controller.py | leozz37/makani | c94d5c2b600b98002f932e80a313a06b9285cc1b | [
"Apache-2.0"
] | 107 | 2020-09-10T17:29:30.000Z | 2022-03-18T09:00:14.000Z | # Copyright 2020 Makani Technologies LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 30.405405 | 78 | 0.725333 | # Copyright 2020 Makani Technologies LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d09457b9285e35437132bc4f29ef68fd238b6e18 | 195 | py | Python | python/8kyu/who_is_going_to_pay_for_the_wall.py | Sigmanificient/codewars | b34df4bf55460d312b7ddf121b46a707b549387a | [
"MIT"
] | 3 | 2021-06-08T01:57:13.000Z | 2021-06-26T10:52:47.000Z | python/8kyu/who_is_going_to_pay_for_the_wall.py | Sigmanificient/codewars | b34df4bf55460d312b7ddf121b46a707b549387a | [
"MIT"
] | null | null | null | python/8kyu/who_is_going_to_pay_for_the_wall.py | Sigmanificient/codewars | b34df4bf55460d312b7ddf121b46a707b549387a | [
"MIT"
] | 2 | 2021-06-10T21:20:13.000Z | 2021-06-30T10:13:26.000Z | # Kata url: https://www.codewars.com/kata/58bf9bd943fadb2a980000a7.
| 24.375 | 67 | 0.702564 | # Kata url: https://www.codewars.com/kata/58bf9bd943fadb2a980000a7.
from typing import List
def who_is_paying(name: str) -> List[str]:
return [name, name[:2]] if len(name) > 2 else [name]
| 0 | 0 | 0 | 0 | 0 | 78 | 0 | 2 | 46 |
30869f0823276c568dc8fbfba7863e5ef57f3d73 | 13,875 | py | Python | testfiles/client/client.py | jjuicecup/Model-Blockchain | 7b6d7eba06de699d88f2865c129159619993a3cf | [
"MIT"
] | null | null | null | testfiles/client/client.py | jjuicecup/Model-Blockchain | 7b6d7eba06de699d88f2865c129159619993a3cf | [
"MIT"
] | null | null | null | testfiles/client/client.py | jjuicecup/Model-Blockchain | 7b6d7eba06de699d88f2865c129159619993a3cf | [
"MIT"
] | null | null | null | """
This file is meant to be a fully working mining client to interact with the REST api defined in the node-files
directory. Other client software can be written to mine and transact with the API however.
"""
import json
import requests
NODE_URL = 'http://127.0.0.1:1337/'
CLIENT_MODE = ''
TRANSACTION_GOAL = 10
# In... | 32.118056 | 119 | 0.645982 | """
This file is meant to be a fully working mining client to interact with the REST api defined in the node-files
directory. Other client software can be written to mine and transact with the API however.
"""
import json
import sys
import os
import requests
import time
import ecdsa
from hashlib import sha256
from ppri... | 0 | 0 | 0 | 0 | 0 | 9,183 | 0 | -32 | 331 |
002f53900f4bfe1eaae3e791b434763f34ac4083 | 2,785 | py | Python | pade.py | jjgoings/pade | a34a6723ee15eb0e02e498854aac4e8433995f9f | [
"MIT"
] | 13 | 2019-11-18T17:09:54.000Z | 2022-03-09T23:25:15.000Z | pade.py | jjgoings/pade | a34a6723ee15eb0e02e498854aac4e8433995f9f | [
"MIT"
] | 1 | 2021-07-02T23:25:43.000Z | 2021-07-03T05:55:36.000Z | pade.py | jjgoings/pade | a34a6723ee15eb0e02e498854aac4e8433995f9f | [
"MIT"
] | 3 | 2020-12-26T10:21:24.000Z | 2022-03-08T10:47:40.000Z | import numpy as np
def pade(time,signal,sigma=100.0,max_len=None,w_min=0.0,w_max=10.0,w_step=0.01,read_freq=None):
""" Routine to take the Fourier transform of a time signal using the method
of Pade approximants.
Inputs:
time: (list or Numpy NDArray) signal sampling times
... | 32.383721 | 95 | 0.589228 | import numpy as np
def pade(time,signal,sigma=100.0,max_len=None,w_min=0.0,w_max=10.0,w_step=0.01,read_freq=None):
""" Routine to take the Fourier transform of a time signal using the method
of Pade approximants.
Inputs:
time: (list or Numpy NDArray) signal sampling times
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ba42719d16e9616434f9a1fd406758d5f5ef5fe2 | 2,724 | py | Python | enaml/wx/wx_combo_box.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 11 | 2015-03-14T14:30:51.000Z | 2022-03-15T13:01:44.000Z | enaml/wx/wx_combo_box.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 3 | 2015-01-31T11:12:56.000Z | 2022-03-14T00:53:25.000Z | enaml/wx/wx_combo_box.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 4 | 2015-01-27T01:56:14.000Z | 2021-02-23T07:21:20.000Z | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 30.266667 | 79 | 0.490088 | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 0 | 0 | 0 | 2,167 | 0 | 0 | 0 | 38 | 114 |
fb19e10a78bf8ba09f7ec34a3b85e15d9a57f568 | 3,521 | py | Python | elcaro-contract.py | Splyse/neo-smart-iot | ed9bb4dd4506c94e97c96a9f2b5faf792352c082 | [
"MIT"
] | 42 | 2017-11-17T10:26:35.000Z | 2021-04-25T05:09:37.000Z | elcaro-contract.py | Splyse/neo-smart-iot | ed9bb4dd4506c94e97c96a9f2b5faf792352c082 | [
"MIT"
] | null | null | null | elcaro-contract.py | Splyse/neo-smart-iot | ed9bb4dd4506c94e97c96a9f2b5faf792352c082 | [
"MIT"
] | 13 | 2017-12-10T02:52:47.000Z | 2021-04-25T05:09:44.000Z | """
elcaro-contract.py
MIT License
Copyright 2017 Splyse Inc.
"""
OWNER = b'\x8e\x5b\x17\x79\x3c\xa9\xf5\xd9\x13\x1d\x67\x4d\xfc\x00\x0f\x5a\x65\x58\xa4\x65'
GAS_ASSET_ID = b'\xe7\x2d\x28\x69\x79\xee\x6c\xb1\xb7\xe6\x5d\xfd\xdf\xb2\xe3\x84\x10\x0b\x8d\x14\x8e\x77\x58\xde\x42\xe4\x16\x8b\x71\x79\x2c\x60';
BADPREFIX='... | 33.216981 | 147 | 0.518887 | """
elcaro-contract.py
MIT License
Copyright 2017 Splyse Inc.
"""
from boa.blockchain.vm.System.ExecutionEngine import GetScriptContainer,GetExecutingScriptHash
from boa.blockchain.vm.Neo.Transaction import *
from boa.blockchain.vm.Neo.Runtime import GetTrigger,CheckWitness,Notify,Log
from boa.blockchain.vm.Neo.Trig... | 0 | 0 | 0 | 0 | 0 | 2,699 | 0 | 315 | 179 |
8ff342f17430f43fd91dd98cb7fabd70069fbff1 | 1,104 | py | Python | freelancefinder/remotes/migrations/0007_auto_20170430_1830.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 2 | 2017-03-18T04:28:58.000Z | 2017-04-25T10:01:28.000Z | freelancefinder/remotes/migrations/0007_auto_20170430_1830.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 20 | 2017-03-18T04:29:33.000Z | 2017-06-13T22:37:42.000Z | freelancefinder/remotes/migrations/0007_auto_20170430_1830.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 1 | 2019-01-14T19:02:06.000Z | 2019-01-14T19:02:06.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-30 18:30
from __future__ import unicode_literals
NEW_SOURCES = [
{'code': 'trabajospython', 'name': 'Trabajos Python', 'url': 'http://www.trabajospython.com/'},
{'code': 'workinstartups', 'name': 'Work In Startups', 'url': 'http://workinstartups.com... | 29.052632 | 99 | 0.657609 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-30 18:30
from __future__ import unicode_literals
from django.db import migrations
NEW_SOURCES = [
{'code': 'trabajospython', 'name': 'Trabajos Python', 'url': 'http://www.trabajospython.com/'},
{'code': 'workinstartups', 'name': 'Work In Startups',... | 0 | 0 | 0 | 192 | 0 | 0 | 0 | 11 | 46 |
afb9b5ad0ee004f1fd09aa9e6edbc793575b02ac | 1,548 | py | Python | intragram/posts/models.py | shoukou-lee/intragram | 7fbafcd9fa4b430170a6a4fde1b7e2b919284b04 | [
"MIT"
] | 1 | 2021-12-01T15:32:02.000Z | 2021-12-01T15:32:02.000Z | intragram/posts/models.py | shoukou-lee/intragram | 7fbafcd9fa4b430170a6a4fde1b7e2b919284b04 | [
"MIT"
] | null | null | null | intragram/posts/models.py | shoukou-lee/intragram | 7fbafcd9fa4b430170a6a4fde1b7e2b919284b04 | [
"MIT"
] | null | null | null | # post posts - 'django-admin startapp posts'
# Django data model / Post/Comment ,
# TimeStampedModel
| 30.96 | 67 | 0.627261 | from django.db import models
from intragram.users import models as user_model
# post를 표현하기 위한 모델 posts - 터미널에서 'django-admin startapp posts'를 입력
# Django data model을 만들 때 게시물 생성 날짜/업데이트 날짜를 Post/Comment마다 만들지 말고,
# TimeStampedModel에 상속 시켜주자
class TimeStampedModel(models.Model):
created_at = models.DateTimeField(au... | 525 | 0 | 0 | 1,107 | 0 | 0 | 0 | 34 | 112 |
348fdfce075236167392a69a20153ecaf931f46e | 1,826 | py | Python | cool/modules/ASA/asa_1_create_obj.py | snowtrain/cool | 29532aae905122d28578e16e6c63f0745b353608 | [
"MIT"
] | 2 | 2019-12-26T17:20:00.000Z | 2022-01-09T01:43:11.000Z | cool/modules/ASA/asa_1_create_obj.py | snowtrain/cool | 29532aae905122d28578e16e6c63f0745b353608 | [
"MIT"
] | null | null | null | cool/modules/ASA/asa_1_create_obj.py | snowtrain/cool | 29532aae905122d28578e16e6c63f0745b353608 | [
"MIT"
] | 1 | 2020-08-10T00:41:40.000Z | 2020-08-10T00:41:40.000Z | from cool.modules.ASA.asa_0_login_info import ip
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
# Object
# rest-api image flash:/asa-restapi-131-lfbff-k8.SPA
# rest-api agent
# https://192.168.20.4/doc/#
# Object
if __name__ == "__main__":
create_in_obj(57, ip)
create_o... | 29.451613 | 122 | 0.573384 | from cool.modules.ASA.asa_0_login_info import ip, my_headers, auth_header
import requests
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
# 创建内部Object
# rest-api image flash:/asa-restapi-131-lfbff-k8.SPA
# rest-api agent
# 文档：https://192.168.20.4/doc/#
def create_in_obj(vid, ip):
... | 333 | 0 | 0 | 0 | 0 | 1,294 | 0 | 19 | 66 |
6adf3f44dcfa8015845b0744785a8ce56373fed5 | 1,484 | py | Python | Sorting/merge_sort.py | warman69/USI_Algo_Bible | f7e62aff0093224c0f9c5d480d69e1275fb56fab | [
"MIT"
] | 7 | 2020-08-02T20:45:20.000Z | 2021-03-31T23:01:49.000Z | Sorting/merge_sort.py | warman69/USI_Algo_Bible | f7e62aff0093224c0f9c5d480d69e1275fb56fab | [
"MIT"
] | 1 | 2020-08-02T20:56:52.000Z | 2021-01-18T13:13:40.000Z | Sorting/merge_sort.py | warman69/USI_Algo_Bible | f7e62aff0093224c0f9c5d480d69e1275fb56fab | [
"MIT"
] | 3 | 2020-08-04T12:00:19.000Z | 2021-05-10T13:30:34.000Z | import random
A = [7,6,5,4,3,2,1]
merge_sort(A)
print(A)
# TESTING
START = -99
STOP = 99
LIMIT = 1000
RANDOM1 = [random.randint(START, STOP) for iter in range(LIMIT)]
#print(RANDOM1)
RANDOM2 = [random.randint(START, STOP) for iter in range(LIMIT)]
#print(RANDOM2)
RANDOM3 = [random.randint(START, STOP) for iter in ra... | 21.823529 | 64 | 0.578841 | import sys
import math
import random
def merge(A, l, m, r):
left_length = m - l + 1
right_length = r - m
L = [0]*(left_length+1)
R = [0]*(right_length+1)
for i in range(left_length):
L[i] = A[l + i]
for i in range(right_length):
R[i] = A[m + i + 1]
L[left_length] = R[righ... | 0 | 0 | 0 | 0 | 0 | 689 | 0 | -21 | 136 |
443e79e315c021d59ccce654b4ce250f189eb8a0 | 17,358 | py | Python | resnet_dnr.py | caidonkey/dnr | 011058000014dc0f76868acf8b05edc456e5cd47 | [
"MIT"
] | null | null | null | resnet_dnr.py | caidonkey/dnr | 011058000014dc0f76868acf8b05edc456e5cd47 | [
"MIT"
] | 1 | 2022-03-28T14:53:46.000Z | 2022-03-28T14:53:46.000Z | resnet_dnr.py | caidonkey/dnr | 011058000014dc0f76868acf8b05edc456e5cd47 | [
"MIT"
] | null | null | null | import torch.nn as nn
def conv3x3(in_planes, out_planes, stride=1, dilation=1):
"3x3 convolution with padding"
return nn.Conv2d(
in_planes,
out_planes,
kernel_size=3,
stride=stride,
padding=dilation,
dilation=dilation,
bias=False)
| 34.995968 | 117 | 0.544418 | import logging
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import constant_init, kaiming_init
from mmcv.runner import load_checkpoint
from ...registry import BACKBONES
import torch.nn.functional as F
from torch.nn.modules.batchnorm import _BatchNorm
import numpy as np
class b... | 0 | 6,019 | 0 | 9,489 | 0 | 1,005 | 0 | 90 | 453 |
d17c962053e7cdd5db0b83d19dd5cb65cb034036 | 494 | py | Python | web/app/lib/ee/tests/computedobject_test.py | geary/claslite | 83c49cf98eceae633034b82d35ed7991d943b857 | [
"Unlicense"
] | null | null | null | web/app/lib/ee/tests/computedobject_test.py | geary/claslite | 83c49cf98eceae633034b82d35ed7991d943b857 | [
"Unlicense"
] | null | null | null | web/app/lib/ee/tests/computedobject_test.py | geary/claslite | 83c49cf98eceae633034b82d35ed7991d943b857 | [
"Unlicense"
] | null | null | null | """Tests for the ee.computedobject module."""
import unittest
if __name__ == '__main__':
unittest.main()
| 20.583333 | 74 | 0.726721 | """Tests for the ee.computedobject module."""
import unittest
import ee
from ee import apitestcase
class ComputedObjectTest(apitestcase.ApiTestCase):
def testComputedObject(self):
"""Verifies that untyped calls wrap the result in a ComputedObject."""
result = ee.ApiFunction.call_('DateRange', 1, 2)
... | 0 | 0 | 0 | 319 | 0 | 0 | 0 | -7 | 69 |
b8f2556375fbf528c594be28681235986f27f62d | 167 | py | Python | Quizes/Quiz5.py | bgrose/CSCE-206-Scientific-Programming | 2b308f77fd9e98ba1edb671e40ae4fdf7ac6aea3 | [
"MIT"
] | null | null | null | Quizes/Quiz5.py | bgrose/CSCE-206-Scientific-Programming | 2b308f77fd9e98ba1edb671e40ae4fdf7ac6aea3 | [
"MIT"
] | null | null | null | Quizes/Quiz5.py | bgrose/CSCE-206-Scientific-Programming | 2b308f77fd9e98ba1edb671e40ae4fdf7ac6aea3 | [
"MIT"
] | null | null | null |
#Tester
n = Numbers(2, 5)
n.add() | 13.916667 | 29 | 0.51497 |
class Numbers:
def __init__(self, x, y):
self.x = x
self.y = y
def add(self):
print(self.x+self.y)
#Tester
n = Numbers(2, 5)
n.add() | 0 | 0 | 0 | 110 | 0 | 0 | 0 | 0 | 23 |
4106e0b4127a2df544e5f0eb70ef9b4812912f23 | 13,550 | py | Python | msgraph-cli-extensions/beta/crossdeviceexperiences_beta/azext_crossdeviceexperiences_beta/generated/_help.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | msgraph-cli-extensions/beta/crossdeviceexperiences_beta/azext_crossdeviceexperiences_beta/generated/_help.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | msgraph-cli-extensions/beta/crossdeviceexperiences_beta/azext_crossdeviceexperiences_beta/generated/_help.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause... | 44.42623 | 121 | 0.678745 | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20923395bb5434b7c47f9fb524481c350b2410fd | 588 | py | Python | RabbitMQ/2-WorkQueues/new_task.py | Py-Himanshu-Patel/Learn-Python | 47a50a934cabcce3b1cbdd4c88141a51f21d3a05 | [
"MIT"
] | null | null | null | RabbitMQ/2-WorkQueues/new_task.py | Py-Himanshu-Patel/Learn-Python | 47a50a934cabcce3b1cbdd4c88141a51f21d3a05 | [
"MIT"
] | null | null | null | RabbitMQ/2-WorkQueues/new_task.py | Py-Himanshu-Patel/Learn-Python | 47a50a934cabcce3b1cbdd4c88141a51f21d3a05 | [
"MIT"
] | null | null | null | import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connection.channel()
# channel.queue_declare(queue="hello")
channel.queue_declare(queue="task_queue", durable=True)
message = " ".join(sys.argv[1:]) or "Hello World!"
# channel.basic_publish(exchange="", rou... | 25.565217 | 76 | 0.72619 | import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connection.channel()
# channel.queue_declare(queue="hello")
channel.queue_declare(queue="task_queue", durable=True)
message = " ".join(sys.argv[1:]) or "Hello World!"
# channel.basic_publish(exchange="", rou... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b28ced7c92b3752793dd18f09abe602e9b9121d2 | 1,145 | py | Python | graviteeio_cli/graviteeio/apim/apis/apis.py | YoranSys/graviteeio-cli | 9a5f90658e6e376682c26ea07e26fb8ebe8338f3 | [
"Apache-2.0"
] | null | null | null | graviteeio_cli/graviteeio/apim/apis/apis.py | YoranSys/graviteeio-cli | 9a5f90658e6e376682c26ea07e26fb8ebe8338f3 | [
"Apache-2.0"
] | null | null | null | graviteeio_cli/graviteeio/apim/apis/apis.py | YoranSys/graviteeio-cli | 9a5f90658e6e376682c26ea07e26fb8ebe8338f3 | [
"Apache-2.0"
] | null | null | null |
# cmd_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), 'plugins'))
add_command = ["ps", "init", "start", "stop", "deploy", "update", "create", "status", "health", "fetch"]
| 27.261905 | 111 | 0.606114 | import os
import sys
import click
from ..client.api import api_client
from .plugins import COMMANDS
# cmd_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), 'plugins'))
add_command = ["ps", "init", "start", "stop", "deploy", "update", "create", "status", "health", "fetch"]
class PluginCommand(click.Mu... | 0 | 112 | 0 | 695 | 0 | 0 | 0 | -10 | 158 |
4ad6c6eb52eae93f0848534a08ba03b383e4096a | 13,083 | py | Python | venv/lib/python2.7/site-packages/ansible/modules/network/aos/_aos_blueprint_param.py | haind27/test01 | 7f86c0a33eb0874a6c3f5ff9a923fd0cfc8ef852 | [
"MIT"
] | 37 | 2017-08-15T15:02:43.000Z | 2021-07-23T03:44:31.000Z | venv/lib/python2.7/site-packages/ansible/modules/network/aos/_aos_blueprint_param.py | haind27/test01 | 7f86c0a33eb0874a6c3f5ff9a923fd0cfc8ef852 | [
"MIT"
] | 12 | 2018-01-10T05:25:25.000Z | 2021-11-28T06:55:48.000Z | venv/lib/python2.7/site-packages/ansible/modules/network/aos/_aos_blueprint_param.py | haind27/test01 | 7f86c0a33eb0874a6c3f5ff9a923fd0cfc8ef852 | [
"MIT"
] | 49 | 2017-08-15T09:52:13.000Z | 2022-03-21T17:11:54.000Z | #!/usr/bin/python
#
# (c) 2017 Apstra Inc, <community@apstra.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your opt... | 33.893782 | 105 | 0.611175 | #!/usr/bin/python
#
# (c) 2017 Apstra Inc, <community@apstra.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your opt... | 0 | 0 | 0 | 0 | 0 | 6,720 | 0 | 183 | 257 |
adc24710801293adc586e332d4618d78b24e4ef4 | 829 | py | Python | asgi_correlation_id/extensions/sentry.py | lakshaythareja/asgi-correlation-id | c8febfdc04191087fb96b8d1843ad80e6f5cd080 | [
"BSD-4-Clause"
] | null | null | null | asgi_correlation_id/extensions/sentry.py | lakshaythareja/asgi-correlation-id | c8febfdc04191087fb96b8d1843ad80e6f5cd080 | [
"BSD-4-Clause"
] | null | null | null | asgi_correlation_id/extensions/sentry.py | lakshaythareja/asgi-correlation-id | c8febfdc04191087fb96b8d1843ad80e6f5cd080 | [
"BSD-4-Clause"
] | null | null | null | from typing import Callable
def get_sentry_extension() -> Callable[[str], None]:
"""
Return set_transaction_id, if the Sentry-sdk is installed.
"""
try:
from asgi_correlation_id.extensions.sentry import set_transaction_id
return set_transaction_id
except ImportError: # pragma: n... | 28.586207 | 76 | 0.708082 | from typing import Callable
def get_sentry_extension() -> Callable[[str], None]:
"""
Return set_transaction_id, if the Sentry-sdk is installed.
"""
try:
import sentry_sdk # noqa: F401, TC002
from asgi_correlation_id.extensions.sentry import set_transaction_id
return set_tran... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 51 |
5b2a2b06090cf00ce66092cc991d7c16dd32c60f | 1,765 | py | Python | test/disabled/test_utils/test_utils.py | eapearson/kbase-skd-module-job-browser-bff | 426445f90569adac16632ef4921f174e51abd42f | [
"MIT"
] | null | null | null | test/disabled/test_utils/test_utils.py | eapearson/kbase-skd-module-job-browser-bff | 426445f90569adac16632ef4921f174e51abd42f | [
"MIT"
] | 6 | 2020-05-26T17:40:07.000Z | 2022-03-11T16:33:11.000Z | test/disabled/test_utils/test_utils.py | eapearson/kbase-skd-module-job-browser-bff | 426445f90569adac16632ef4921f174e51abd42f | [
"MIT"
] | 1 | 2020-05-26T17:12:59.000Z | 2020-05-26T17:12:59.000Z |
UPSTREAM_SERVICE = 'ee2'
ENV = 'ci'
USER_CLASS = 'user'
| 28.015873 | 59 | 0.349575 | from JobBrowserBFF.TestBase import TestBase
import JobBrowserBFF.Utils as utils
UPSTREAM_SERVICE = 'ee2'
ENV = 'ci'
USER_CLASS = 'user'
class UtilsTest(TestBase):
def test_parse_app_id(self):
cases = [
{
'input': ['foo/bar', None],
'output': {
... | 0 | 0 | 0 | 1,604 | 0 | 0 | 0 | 36 | 67 |
d97aa2ce745883a9ee6554844c742772fd037df7 | 4,604 | py | Python | droplogger/outputs/feed.py | goodevilgenius/droplogger | 4e5462db52fa174a2fdec491553ea6286a377539 | [
"MIT"
] | 3 | 2017-03-07T21:46:52.000Z | 2020-05-02T07:46:20.000Z | droplogger/outputs/feed.py | goodevilgenius/droplogger | 4e5462db52fa174a2fdec491553ea6286a377539 | [
"MIT"
] | 38 | 2015-02-24T19:17:36.000Z | 2020-09-28T11:12:40.000Z | droplogger/outputs/feed.py | goodevilgenius/droplogger | 4e5462db52fa174a2fdec491553ea6286a377539 | [
"MIT"
] | 1 | 2018-02-22T20:14:26.000Z | 2018-02-22T20:14:26.000Z | #!/usr/bin/python
import os
__all__ = ["add_entries"]
config = {"__Instructions_filename_":"In the filename, 0 is the extension, specified by ext, 1 is the format name, 2 is the log name, and 3 is the date, specified by the format in date",
"__Instructions_master_feed_":"A master feed will link to all the ... | 46.505051 | 186 | 0.607515 | #!/usr/bin/python
import os, codecs, datetime
import jinja2, markdown
from email.utils import formatdate
from xml.sax.saxutils import escape
from ..utils.misc import json_dumps
__all__ = ["add_entries"]
config = {"__Instructions_filename_":"In the filename, 0 is the extension, specified by ext, 1 is the format name,... | 0 | 0 | 0 | 0 | 0 | 3,330 | 0 | 61 | 111 |
29b2e754617514c98fd7650574fd58215a2e044a | 608 | py | Python | solutions/0094.binary-tree-inorder-traversal/binary-tree-inorder-traversal.py | CarlKing5019/Leetcode | ec887a3cf93eb9952fb6bf8233d3cc374a5e32a0 | [
"MIT"
] | null | null | null | solutions/0094.binary-tree-inorder-traversal/binary-tree-inorder-traversal.py | CarlKing5019/Leetcode | ec887a3cf93eb9952fb6bf8233d3cc374a5e32a0 | [
"MIT"
] | null | null | null | solutions/0094.binary-tree-inorder-traversal/binary-tree-inorder-traversal.py | CarlKing5019/Leetcode | ec887a3cf93eb9952fb6bf8233d3cc374a5e32a0 | [
"MIT"
] | null | null | null | '''
* Solution for Binary Tree Inorder Traversal (Leetcode 94)
* https://leetcode.com/problems/binary-tree-inorder-traversal/
* Time Complexity: O(n)
* Space Complexity: O(h)
* Idea: Recursion
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# ... | 24.32 | 100 | 0.625 | '''
* Solution for Binary Tree Inorder Traversal (Leetcode 94)
* https://leetcode.com/problems/binary-tree-inorder-traversal/
* Time Complexity: O(n)
* Space Complexity: O(h)
* Idea: Recursion
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# ... | 0 | 0 | 0 | 217 | 0 | 0 | 0 | 0 | 23 |
e0404c28286dfb5cfab96b5e412a7fcd22152cba | 1,579 | py | Python | kiwiii/loader.py | mojaie/kiwiii-server | 2f550d58bfc9876b9153a2899610e8ca256c294e | [
"MIT"
] | null | null | null | kiwiii/loader.py | mojaie/kiwiii-server | 2f550d58bfc9876b9153a2899610e8ca256c294e | [
"MIT"
] | 3 | 2017-09-08T02:00:30.000Z | 2017-10-05T08:14:59.000Z | kiwiii/loader.py | mojaie/kiwiii-server | 2f550d58bfc9876b9153a2899610e8ca256c294e | [
"MIT"
] | null | null | null | import yaml
with open("server_config.yaml") as f:
config = yaml.load(f.read())
| 26.762712 | 75 | 0.668144 |
import glob
import os
import yaml
with open("server_config.yaml") as f:
config = yaml.load(f.read())
def web_home_path():
return config["web_home"]
def basic_auth_realm():
return config["basic_auth_realm"]
def user_passwd_matched(user, passwd):
users = config["user"]
return user in users an... | 0 | 0 | 0 | 0 | 0 | 1,255 | 0 | -22 | 252 |
b9290c05148c759440d316e434d280241a415c00 | 1,643 | py | Python | Network/VGGLike/VGG_tiny_nBn192.py | MuAuan/dlShogi-kai | cac02997ff816bba085c872fe02b099a92b08ba4 | [
"MIT"
] | null | null | null | Network/VGGLike/VGG_tiny_nBn192.py | MuAuan/dlShogi-kai | cac02997ff816bba085c872fe02b099a92b08ba4 | [
"MIT"
] | null | null | null | Network/VGGLike/VGG_tiny_nBn192.py | MuAuan/dlShogi-kai | cac02997ff816bba085c872fe02b099a92b08ba4 | [
"MIT"
] | null | null | null |
ch=192
| 35.717391 | 123 | 0.572733 | from chainer import Chain
import chainer.functions as F
import chainer.links as L
from pydlshogi.common import *
ch=192
class PolicyNetwork(Chain):
def __init__(self):
super(PolicyNetwork, self).__init__()
with self.init_scope():
self.conv1_1 = L.Convolution2D(104, ch, 3, pad=1)
... | 3 | 0 | 0 | 1,497 | 0 | 0 | 0 | 25 | 111 |
3d3c983a11e0ac7b41a2cb592f8e92136a32d4a4 | 1,024 | py | Python | src/waldur_mastermind/marketplace/migrations/0043_category_default_tenant_category.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 26 | 2017-10-18T13:49:58.000Z | 2021-09-19T04:44:09.000Z | src/waldur_mastermind/marketplace/migrations/0043_category_default_tenant_category.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 14 | 2018-12-10T14:14:51.000Z | 2021-06-07T10:33:39.000Z | src/waldur_mastermind/marketplace/migrations/0043_category_default_tenant_category.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 32 | 2017-09-24T03:10:45.000Z | 2021-10-16T16:41:09.000Z | # Generated by Django 2.2.13 on 2021-02-26 11:42
| 28.444444 | 123 | 0.663086 | # Generated by Django 2.2.13 on 2021-02-26 11:42
from django.core.exceptions import ObjectDoesNotExist
from django.db import migrations, models
def set_default_tenant_flag_to_categories(apps, schema_editor):
Category = apps.get_model('marketplace', 'Category')
try:
vm_category = Category.objects.get... | 0 | 0 | 0 | 534 | 0 | 297 | 0 | 51 | 91 |
016d912fba928b5c539d28066bfd7012210abf5e | 6,554 | py | Python | src/ops.py | alperyeg/spiking_GANs | 9249093db043c0b41eb1e935dd09f5d415307ca5 | [
"MIT"
] | null | null | null | src/ops.py | alperyeg/spiking_GANs | 9249093db043c0b41eb1e935dd09f5d415307ca5 | [
"MIT"
] | null | null | null | src/ops.py | alperyeg/spiking_GANs | 9249093db043c0b41eb1e935dd09f5d415307ca5 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow.python.framework import ops
def linear(inpt, output_dim, scope=None, stddev=1.0, with_w=False):
"""
Linear transformation
:param inpt: data
:param output_dim: hidden layers
:param scope: name
:param stddev: standard deviation
:param with_w: whethe... | 33.269036 | 81 | 0.579646 | import math
import numpy as np
import tensorflow as tf
from tensorflow.python.framework import ops
class BatchNorm(object):
"""Code modification of http://stackoverflow.com/a/33950177"""
def __init__(self, epsilon=1e-5, momentum=0.9, name="batch_norm"):
with tf.variable_scope(name):
self... | 0 | 0 | 0 | 670 | 0 | 0 | 0 | -13 | 67 |
fbb022212ff0d3c1b286ef027a166087022929c9 | 9,693 | py | Python | emulation_system/emulation_system/commands/emulation_command_creator.py | Opentrons/ot3-emulator | 90fad37b54dc3b003732220e630185de1a1d5dfd | [
"Apache-2.0"
] | null | null | null | emulation_system/emulation_system/commands/emulation_command_creator.py | Opentrons/ot3-emulator | 90fad37b54dc3b003732220e630185de1a1d5dfd | [
"Apache-2.0"
] | 3 | 2021-08-31T14:59:41.000Z | 2021-10-04T16:10:25.000Z | emulation_system/emulation_system/commands/emulation_command_creator.py | Opentrons/ot3-emulator | 90fad37b54dc3b003732220e630185de1a1d5dfd | [
"Apache-2.0"
] | null | null | null | """Builds command for emulator."""
from __future__ import annotations
| 32.41806 | 85 | 0.657691 | """Builds command for emulator."""
from __future__ import annotations
import abc
import argparse
import os
from dataclasses import dataclass
from enum import Enum
from typing import Dict
from emulation_system.consts import (
PRODUCTION_MODE_NAME,
DEVELOPMENT_MODE_NAME,
LATEST_KEYWORD,
ROOT_DIR,
)
fro... | 0 | 6,577 | 0 | 2,312 | 0 | 0 | 0 | 319 | 406 |
08b9122888821e2ca3e07dd65afd9695ef752424 | 922 | py | Python | app.py | j-000/todoAPI | 27d8bbe680368a4ad72adf174776551b7bf219c6 | [
"bzip2-1.0.6"
] | 2 | 2019-04-20T18:28:04.000Z | 2019-07-31T06:04:12.000Z | app.py | j-000/todoAPI | 27d8bbe680368a4ad72adf174776551b7bf219c6 | [
"bzip2-1.0.6"
] | null | null | null | app.py | j-000/todoAPI | 27d8bbe680368a4ad72adf174776551b7bf219c6 | [
"bzip2-1.0.6"
] | null | null | null | from flask_restful import Api
from models import app
from resources import UserAuthentication, UserRefreshToken, UserRegistration, UserLogout, Todos, Todo
from flask_moment import Moment
moment = Moment(app)
api = Api(app)
api.add_resource(UserRegistration, '/registration')
api.add_resource(UserAuthentication, '/auth... | 28.8125 | 101 | 0.759219 | from flask import render_template
from flask_restful import Api, reqparse
from models import app
from resources import UserAuthentication, UserRefreshToken, UserRegistration, UserLogout, Todos, Todo
from flask_moment import Moment
moment = Moment(app)
api = Api(app)
api.add_resource(UserRegistration, '/registration')... | 0 | 244 | 0 | 0 | 0 | 0 | 0 | 22 | 91 |
2fb1bdd7e88f0d2c1b5764cee74a9a2b9519fce8 | 1,282 | py | Python | backend/LocalTesting/compute_weights.py | brandontjd/BinancePortfolioManager | e1d81f641336c6dfc97f8181171d2814f72e0ee7 | [
"MIT"
] | 5 | 2021-04-20T05:35:49.000Z | 2021-08-09T08:51:16.000Z | backend/LocalTesting/compute_weights.py | brandontjd/BinancePortfolioManager | e1d81f641336c6dfc97f8181171d2814f72e0ee7 | [
"MIT"
] | 2 | 2021-05-09T17:27:03.000Z | 2021-05-18T13:12:29.000Z | backend/LocalTesting/compute_weights.py | brandontjd/BinancePortfolioManager | e1d81f641336c6dfc97f8181171d2814f72e0ee7 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_cors import CORS
from os import environ
# To do : Filter away very small amounts
app = Flask(__name__)
CORS(app, resources={r"/*": {"origins": "*"}})
if __name__ == "__main__":
app.run(host="0.0.0.0",port=5001,debug=environ.get('PROD_ENV') != False) | 32.05 | 76 | 0.627145 | from flask import Flask, jsonify, request
from flask_cors import CORS
from os import environ
import pandas as pd
# To do : Filter away very small amounts
app = Flask(__name__)
CORS(app, resources={r"/*": {"origins": "*"}})
@app.route('/compute_weights',methods=['POST'])
def compute_weights():
assets = request.ge... | 0 | 930 | 0 | 0 | 0 | 0 | 0 | 16 | 45 |
b6183d93d141c950c30926b0e6a0bf799a89eff0 | 4,743 | py | Python | examples/SimpleTrap/SimpleTrap.py | nist-ionstorage/bem | b87737f4f5e32351576885cd5f453013cb731f93 | [
"Unlicense"
] | 16 | 2018-01-31T22:45:37.000Z | 2022-02-06T07:33:42.000Z | examples/SimpleTrap/SimpleTrap.py | nist-ionstorage/bem | b87737f4f5e32351576885cd5f453013cb731f93 | [
"Unlicense"
] | 1 | 2018-03-27T16:03:57.000Z | 2018-03-27T16:03:57.000Z | examples/SimpleTrap/SimpleTrap.py | nist-ionstorage/bem | b87737f4f5e32351576885cd5f453013cb731f93 | [
"Unlicense"
] | 11 | 2017-08-29T20:50:55.000Z | 2021-05-26T12:43:52.000Z | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
# bem: triangulation and fmm/bem electrostatics tools
#
# Copyright (C) 2011-2012 Robert Jordens <jordens@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License ... | 28.920732 | 82 | 0.683534 | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
# bem: triangulation and fmm/bem electrostatics tools
#
# Copyright (C) 2011-2012 Robert Jordens <jordens@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License ... | 0 | 0 | 0 | 0 | 0 | 467 | 0 | 0 | 23 |
6560358e89f43f241a6a913a3a42338e78afda8e | 1,734 | py | Python | examples/muv/muv_datasets.py | ozgurozkan123/deepchem | 7b6248db5f7172ff2a833a1c7c99f48565befe67 | [
"MIT"
] | 40 | 2019-04-27T01:20:00.000Z | 2022-01-08T07:35:14.000Z | examples/muv/muv_datasets.py | ozgurozkan123/deepchem | 7b6248db5f7172ff2a833a1c7c99f48565befe67 | [
"MIT"
] | 2 | 2017-08-02T20:35:13.000Z | 2017-08-10T21:17:31.000Z | examples/muv/muv_datasets.py | ozgurozkan123/deepchem | 7b6248db5f7172ff2a833a1c7c99f48565befe67 | [
"MIT"
] | 15 | 2019-06-05T02:53:28.000Z | 2021-11-05T00:54:38.000Z | """
MUV dataset loader.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import os
import deepchem as dc
def load_muv(featurizer='ECFP', split='index'):
"""Load MUV datasets. Does not do train/test split"""
# Load MUV dataset
print("About to load ... | 32.716981 | 76 | 0.671857 | """
MUV dataset loader.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import os
import numpy as np
import shutil
import deepchem as dc
def load_muv(featurizer='ECFP', split='index'):
"""Load MUV datasets. Does not do train/test split"""
# Load MU... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 44 |
604cc8b7793bb84989a19dc4373f522dc0854717 | 385 | py | Python | LeetCode/python/151-180/171-excel-sheet-column-number/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | LeetCode/python/151-180/171-excel-sheet-column-number/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | LeetCode/python/151-180/171-excel-sheet-column-number/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | __author__ = 'yinjun'
| 16.041667 | 31 | 0.392208 | __author__ = 'yinjun'
class Solution:
# @param s, a string
# @return an integer
def titleToNumber(self, s):
lst = list(s)
l = len(lst)
r = l - 1
num = 0
pos = 0
while pos < l:
c = lst[pos]
cn = ord(c) - 64
num += cn * 26... | 0 | 0 | 0 | 338 | 0 | 0 | 0 | 0 | 23 |
b1c96e1cc7cf1b9136af7e35db07070681cb99e5 | 3,088 | py | Python | Backend/pesMethod.py | GaryZ700/CatLab_CompChem | 4a3dee5a3778eb8b69b53b9d0e9ed6321cadedea | [
"MIT"
] | 1 | 2021-11-13T12:21:52.000Z | 2021-11-13T12:21:52.000Z | Backend/pesMethod.py | GaryZ700/CatLab_CompChem | 4a3dee5a3778eb8b69b53b9d0e9ed6321cadedea | [
"MIT"
] | null | null | null | Backend/pesMethod.py | GaryZ700/CatLab_CompChem | 4a3dee5a3778eb8b69b53b9d0e9ed6321cadedea | [
"MIT"
] | null | null | null | #Written by Gary Zeri
#Computer Science Major at Chapman University, Member of Dr. LaRue's CatLab
#Abstract Class to define the properties of all methods used to generate a Potential Energy Surface
################################################################################### | 33.204301 | 110 | 0.488342 | #Written by Gary Zeri
#Computer Science Major at Chapman University, Member of Dr. LaRue's CatLab
#Abstract Class to define the properties of all methods used to generate a Potential Energy Surface
from compChemGlobal import *
from graphableData import *
class PESMethod(GraphableData):
#Declare all global... | 0 | 81 | 0 | 2,637 | 0 | 0 | 0 | 13 | 70 |
72e29db2d9eb9d9778ec01beb1cdff703288bc98 | 41,733 | py | Python | pypy/objspace/std/intobject.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | 1 | 2021-06-02T23:02:09.000Z | 2021-06-02T23:02:09.000Z | pypy/objspace/std/intobject.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | 1 | 2021-03-30T18:08:41.000Z | 2021-03-30T18:08:41.000Z | pypy/objspace/std/intobject.py | pymtl/pypy-pymtl3 | d2f66f87686e48aeb1eecabeaa3de1381a149f2c | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """The builtin int type (W_AbstractInt) and the base impl (W_IntObject)
based on rpython ints.
In order to have the same behavior running on CPython, and after RPython
translation this module uses rarithmetic.ovfcheck to explicitly check
for overflows, something CPython does not do anymore.
"""
import sys
from pypy.i... | 38.182068 | 88 | 0.635205 | """The builtin int type (W_AbstractInt) and the base impl (W_IntObject)
based on rpython ints.
In order to have the same behavior running on CPython, and after RPython
translation this module uses rarithmetic.ovfcheck to explicitly check
for overflows, something CPython does not do anymore.
"""
import operator
import ... | 0 | 11,951 | 0 | 12,433 | 0 | 9,224 | 0 | 568 | 794 |
6b720c23f71a96bcab1ab21bfe228eeadab8a860 | 1,418 | py | Python | 10.delete.py | MohanSha/EAMS | bf43a855c0a44da8e5aa76a30f6ac3f1e899bd00 | [
"MIT"
] | null | null | null | 10.delete.py | MohanSha/EAMS | bf43a855c0a44da8e5aa76a30f6ac3f1e899bd00 | [
"MIT"
] | null | null | null | 10.delete.py | MohanSha/EAMS | bf43a855c0a44da8e5aa76a30f6ac3f1e899bd00 | [
"MIT"
] | null | null | null | #import libraries
emain = Tk()
emain.title('Input')
Label(emain, text="Enter table name to delete : ").grid(row=1,column=2,sticky=W,pady=4)
inp_tbl = Entry(emain)
inp_tbl.grid(row=1,column=4,padx=12)
inp_tbl.bind('<Return>', delete)
inp_tbl.focus()
emain.mainloop()
| 24.877193 | 142 | 0.643865 | #import libraries
import MySQLdb
import ConfigParser
from Tkinter import *
from tkMessageBox import *
def exec_delete(*event):
#reading config file
Config = ConfigParser.ConfigParser()
Config.read("config.ini")
# Establish a MySQL connection
database = MySQLdb.connect (host=Config.get(... | 0 | 0 | 0 | 0 | 0 | 995 | 0 | -4 | 142 |
43041b08f9fdcbe5fbf3abf89d839c8afc356563 | 5,354 | py | Python | satori/tunnel.py | mgeisler/satori | dea382bae1cd043189589c0f7d4c20b4b6725ab5 | [
"Apache-2.0"
] | 1 | 2015-01-18T19:56:28.000Z | 2015-01-18T19:56:28.000Z | satori/tunnel.py | samstav/satori | 239fa1e3c7aac78599145c670576f0ac76a41a89 | [
"Apache-2.0"
] | null | null | null | satori/tunnel.py | samstav/satori | 239fa1e3c7aac78599145c670576f0ac76a41a89 | [
"Apache-2.0"
] | null | null | null | # 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, software
# d... | 31.869048 | 78 | 0.607023 | # 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, software
# d... | 0 | 0 | 0 | 4,089 | 0 | 0 | 0 | -23 | 214 |
a89ddb9745ba5e0f514015de6cbc530cb2a36195 | 274 | py | Python | src/pages/views.py | earth-emoji/infotechia | 44ed7aecf052001573b47320e6a1239968d2a067 | [
"BSD-2-Clause"
] | null | null | null | src/pages/views.py | earth-emoji/infotechia | 44ed7aecf052001573b47320e6a1239968d2a067 | [
"BSD-2-Clause"
] | 11 | 2019-10-27T23:41:10.000Z | 2022-02-10T10:30:00.000Z | src/pages/views.py | earth-emoji/infotechia | 44ed7aecf052001573b47320e6a1239968d2a067 | [
"BSD-2-Clause"
] | null | null | null |
# Create your views here.
| 34.25 | 68 | 0.759124 | from django.shortcuts import render, redirect
# Create your views here.
def home(request, template_name='pages/home.html'):
if request.user.is_authenticated:
return redirect('workspace:home', request.user.profile.slug)
return render(request, template_name)
| 0 | 0 | 0 | 0 | 0 | 179 | 0 | 24 | 44 |
1c503cbca6e93841890aaeb1463f9eee90246168 | 35,502 | py | Python | test/test_entrypoints.py | cdoronc/remote | 4155e7f019891d72fbad6081ad62f8441d6b3e76 | [
"BSD-2-Clause"
] | 15 | 2020-05-25T18:23:58.000Z | 2021-08-19T19:26:36.000Z | test/test_entrypoints.py | cdoronc/remote | 4155e7f019891d72fbad6081ad62f8441d6b3e76 | [
"BSD-2-Clause"
] | 12 | 2020-05-11T23:41:24.000Z | 2022-02-02T13:33:39.000Z | test/test_entrypoints.py | cdoronc/remote | 4155e7f019891d72fbad6081ad62f8441d6b3e76 | [
"BSD-2-Clause"
] | 7 | 2020-06-05T01:33:32.000Z | 2021-06-08T21:57:44.000Z | """Integration-ish tests for CLI endpoints.
We only mock subprocess calls since we cannot do multi-host testing.
Some of the test above don't verify much, but they at least ensure that all parts work well together.
"""
TEST_HOST = "test-host1.example.com"
TEST_DIR = ".remotes/myproject"
TEST_CONFIG = f"{TEST_HOST}:{T... | 28.981224 | 120 | 0.54011 | """Integration-ish tests for CLI endpoints.
We only mock subprocess calls since we cannot do multi-host testing.
Some of the test above don't verify much, but they at least ensure that all parts work well together.
"""
import os
import sys
from contextlib import contextmanager
from datetime import datetime
from unitt... | 0 | 30,030 | 0 | 0 | 0 | 3,766 | 0 | 196 | 1,142 |
0751c12b22a4f0628bee313acb69f83c51fb4a4f | 3,368 | py | Python | cnn_mnist.py | alexlungu10/CNN-MNIST | 130f654f3b0f94531ddcb28d2af82df246d70e56 | [
"Apache-2.0"
] | null | null | null | cnn_mnist.py | alexlungu10/CNN-MNIST | 130f654f3b0f94531ddcb28d2af82df246d70e56 | [
"Apache-2.0"
] | null | null | null | cnn_mnist.py | alexlungu10/CNN-MNIST | 130f654f3b0f94531ddcb28d2af82df246d70e56 | [
"Apache-2.0"
] | null | null | null |
# %matplotlib inline
| 37.010989 | 117 | 0.603029 | from pathlib import Path
from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense
from keras.models import Sequential, model_from_json
from keras.datasets import mnist
from keras.utils import to_categorical
from keras.preprocessing import image
import matplotlib.pyplot as plt
import numpy as np
# %matplotlib ... | 0 | 0 | 0 | 3,018 | 0 | 0 | 0 | 125 | 202 |
208dd2c64fba31155e794c192457834b5ca3374a | 690 | py | Python | tools/frontend/dbpedia_links_rating/rating/management/commands/uploadLinks.py | The-Actual-Damien/https-github.com-dbpedia-links | 4bd785f62fadb30610bddd42735403b8e6dded19 | [
"Apache-2.0"
] | 52 | 2015-05-09T23:59:45.000Z | 2022-02-10T13:30:32.000Z | tools/frontend/dbpedia_links_rating/rating/management/commands/uploadLinks.py | The-Actual-Damien/https-github.com-dbpedia-links | 4bd785f62fadb30610bddd42735403b8e6dded19 | [
"Apache-2.0"
] | 40 | 2015-05-12T06:44:26.000Z | 2020-12-02T18:32:57.000Z | tools/frontend/dbpedia_links_rating/rating/management/commands/uploadLinks.py | The-Actual-Damien/https-github.com-dbpedia-links | 4bd785f62fadb30610bddd42735403b8e6dded19 | [
"Apache-2.0"
] | 66 | 2015-05-11T17:08:57.000Z | 2022-03-18T12:24:44.000Z | from __future__ import unicode_literals
| 31.363636 | 164 | 0.643478 | from __future__ import unicode_literals
from django.core.management import BaseCommand
from dbpedia_links_rating.rating.models import Link
class Command(BaseCommand):
help = "Read out a .nt file and create links"
def add_arguments(self, parser):
parser.add_argument('file', type=str)
missing_ar... | 0 | 0 | 0 | 526 | 0 | 0 | 0 | 55 | 69 |
304e183796098ce0e1e12029b092dd7d13e4c469 | 2,004 | py | Python | dss_kaggle_clouds/data/mask_decoder.py | datascienceucsc/dss-cloudclassification | e541a7772bb2cc33a0797849b102374ce347cdf2 | [
"MIT"
] | 2 | 2019-10-13T23:11:55.000Z | 2019-10-14T01:10:37.000Z | dss_kaggle_clouds/data/mask_decoder.py | datascienceslugs/dss-cloudclassification | e541a7772bb2cc33a0797849b102374ce347cdf2 | [
"MIT"
] | 1 | 2019-10-26T20:08:11.000Z | 2019-10-26T20:08:11.000Z | dss_kaggle_clouds/data/mask_decoder.py | datascienceucsc/dss-cloudclassification | e541a7772bb2cc33a0797849b102374ce347cdf2 | [
"MIT"
] | 1 | 2019-10-08T20:10:34.000Z | 2019-10-08T20:10:34.000Z | # mask_decoder.py
#
# Sampson Mao, Anders Poirel
# 26-10-2019
#
# script for decoding the masks for each image in the training set from
# the .csv file, writing the output as a seperate .jpg file for each
# label-image pair
import pandas as pd
import numpy as np
from PIL import Image
def rle2mask(row, height =... | 32.322581 | 80 | 0.618263 | # mask_decoder.py
#
# Sampson Mao, Anders Poirel
# 26-10-2019
#
# script for decoding the masks for each image in the training set from
# the .csv file, writing the output as a seperate .jpg file for each
# label-image pair
import pandas as pd
import numpy as np
from PIL import Image
def rle2mask(row, height =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1aa13aad063af14972d7a466e039c2913551eea2 | 3,224 | py | Python | utils/dataset.py | slothkong/crypto_forecast | 2eff9dbcacf6894ffe01b63e7570c569dbfab90c | [
"MIT"
] | null | null | null | utils/dataset.py | slothkong/crypto_forecast | 2eff9dbcacf6894ffe01b63e7570c569dbfab90c | [
"MIT"
] | null | null | null | utils/dataset.py | slothkong/crypto_forecast | 2eff9dbcacf6894ffe01b63e7570c569dbfab90c | [
"MIT"
] | null | null | null | import os
import requests
import pandas as pd
from datetime import datetime
from easydict import EasyDict as edict
# ----------------------------------------------------------------------------------------------------------------------
# Global variables
# -------------------------------------------------------------... | 34.297872 | 120 | 0.515509 | import os
import requests
import pandas as pd
from datetime import datetime
from easydict import EasyDict as edict
# ----------------------------------------------------------------------------------------------------------------------
# Global variables
# -------------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c43f4cc49cf83f2f3556869d27039a7ebe123635 | 483 | py | Python | tests/datasets-04-http-dns/writepcap.py | mtremer/suricata-verify | 48621db880a4254d4f7182307f4fe3b49d059a37 | [
"MIT"
] | 58 | 2018-05-04T06:55:15.000Z | 2022-03-18T17:34:04.000Z | tests/datasets-04-http-dns/writepcap.py | mtremer/suricata-verify | 48621db880a4254d4f7182307f4fe3b49d059a37 | [
"MIT"
] | 577 | 2018-12-06T08:57:33.000Z | 2022-03-29T10:49:18.000Z | tests/datasets-04-http-dns/writepcap.py | mtremer/suricata-verify | 48621db880a4254d4f7182307f4fe3b49d059a37 | [
"MIT"
] | 64 | 2018-05-01T16:52:58.000Z | 2021-12-16T21:01:01.000Z | #!/usr/bin/env python
pkts = []
pkts += Ether(dst='ff:ff:ff:ff:ff:ff', src='00:01:02:03:04:05')/ \
Dot1Q(vlan=6)/ \
IP(dst='1.2.3.4', src='5.6.7.8')/UDP(dport=53)/DNS(id=1, rd=1, qd=DNSQR(qname='example.com'))
pkts += Ether(dst='ff:ff:ff:ff:ff:ff', src='00:01:02:03:04:05')/ \
Dot1Q(vlan=6)/ \
IP(dst='... | 34.5 | 122 | 0.583851 | #!/usr/bin/env python
from scapy.all import *
pkts = []
pkts += Ether(dst='ff:ff:ff:ff:ff:ff', src='00:01:02:03:04:05')/ \
Dot1Q(vlan=6)/ \
IP(dst='1.2.3.4', src='5.6.7.8')/UDP(dport=53)/DNS(id=1, rd=1, qd=DNSQR(qname='example.com'))
pkts += Ether(dst='ff:ff:ff:ff:ff:ff', src='00:01:02:03:04:05')/ \
Dot1Q... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
e1f3fb994fc0b05515f813a004deac918b014e70 | 1,171 | py | Python | others/snsync_pdf.py | RohanGautam/supernote-tool | e297aa0d3b8cc624aba179497576be1ddbc2b32e | [
"Apache-2.0"
] | 17 | 2021-12-02T04:19:46.000Z | 2022-03-09T18:28:16.000Z | others/snsync_pdf.py | RohanGautam/supernote-tool | e297aa0d3b8cc624aba179497576be1ddbc2b32e | [
"Apache-2.0"
] | null | null | null | others/snsync_pdf.py | RohanGautam/supernote-tool | e297aa0d3b8cc624aba179497576be1ddbc2b32e | [
"Apache-2.0"
] | 1 | 2022-02-16T21:12:18.000Z | 2022-02-16T21:12:18.000Z | import os
import re
import glob
from pathlib import Path
from tqdm import tqdm
SUPERNOTE_PATH = '/run/user/1000/gvfs/mtp:host=rockchip_Supernote_A5_X_SN100B10004997/Supernote/Note'
OUTPUT_PATH = '../Notes_synced'
assert os.path.exists(SUPERNOTE_PATH)
assert os.path.exists(OUTPUT_PATH)
for p in tqdm(glob.glob(f'{... | 27.232558 | 101 | 0.685739 | import os
import re
import glob
from pathlib import Path
from tqdm import tqdm
import supernotelib as sn
SUPERNOTE_PATH = '/run/user/1000/gvfs/mtp:host=rockchip_Supernote_A5_X_SN100B10004997/Supernote/Note'
OUTPUT_PATH = '../Notes_synced'
assert os.path.exists(SUPERNOTE_PATH)
assert os.path.exists(OUTPUT_PATH)
de... | 0 | 0 | 0 | 0 | 0 | 470 | 0 | 4 | 45 |
1a4489bdaac176027392636a0710ad4e86a20d86 | 1,357 | py | Python | setup.py | elohhim/PySyncTeX | 2aa8bc172edcccffd9b50350dd3b9e653b38f15e | [
"MIT"
] | null | null | null | setup.py | elohhim/PySyncTeX | 2aa8bc172edcccffd9b50350dd3b9e653b38f15e | [
"MIT"
] | null | null | null | setup.py | elohhim/PySyncTeX | 2aa8bc172edcccffd9b50350dd3b9e653b38f15e | [
"MIT"
] | null | null | null | if __name__ == '__main__':
from setuptools import setup, Extension
_synctex_parser = Extension('pysynctex._synctex_parser',
sources=['wrapper/synctex_parser.i',
'wrapper/synctex_package/synctex_parser.c',
'wrapp... | 42.40625 | 82 | 0.537214 | if __name__ == '__main__':
from setuptools import setup, Extension
_synctex_parser = Extension('pysynctex._synctex_parser',
sources=['wrapper/synctex_parser.i',
'wrapper/synctex_package/synctex_parser.c',
'wrapp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
932bcfe7b41eb67329409b391485b67bcb24f265 | 2,861 | py | Python | nrepl/watcher.py | shonenada/nREPL-reloader | 152b2a5b11c121b30c9cfde3cd71cacec8d0449d | [
"MIT"
] | 5 | 2017-06-20T09:00:56.000Z | 2022-01-21T06:22:49.000Z | nrepl/watcher.py | shonenada/nREPL-reloader | 152b2a5b11c121b30c9cfde3cd71cacec8d0449d | [
"MIT"
] | null | null | null | nrepl/watcher.py | shonenada/nREPL-reloader | 152b2a5b11c121b30c9cfde3cd71cacec8d0449d | [
"MIT"
] | null | null | null |
COLOR_GRAY = '2'
COLOR_RED = '0;31'
| 28.61 | 79 | 0.531982 | import os
import time
import errno
import socket
from nrepl._compat import urlparse
from nrepl.clj import get_ns
from nrepl.utils import console, get_ts, traverse_dir
from nrepl.client import Client
COLOR_GRAY = '2'
COLOR_RED = '0;31'
class TimeoutError(Exception):
pass
def nrepl_connect(uri):
uri = urlp... | 0 | 0 | 0 | 2,383 | 0 | 168 | 0 | 23 | 246 |
765cd431aef6353e6f38502d782feccd3055175f | 3,662 | py | Python | animal_classification_script.py | prabhat-123/Animal_Classification_In_The_WIld | 9be19dae9ec9a51edc755bbbd472e2e36364c9b0 | [
"MIT"
] | null | null | null | animal_classification_script.py | prabhat-123/Animal_Classification_In_The_WIld | 9be19dae9ec9a51edc755bbbd472e2e36364c9b0 | [
"MIT"
] | null | null | null | animal_classification_script.py | prabhat-123/Animal_Classification_In_The_WIld | 9be19dae9ec9a51edc755bbbd472e2e36364c9b0 | [
"MIT"
] | 2 | 2021-06-24T19:02:48.000Z | 2021-06-24T19:15:11.000Z | import os
import tensorflow as tf
from tensorflow.keras.models import model_from_json
from tqdm import tqdm
import shutil
from animal_classification_report_generator import Animal_Classification_Report
# root_dir = os.getcwd()
tf.keras.backend.clear_session()
config = tf.compat.v1.ConfigProto(gpu_options ... | 40.688889 | 210 | 0.696887 | import numpy as np
import os
import json
import tensorflow as tf
from tensorflow.keras.models import model_from_json
from tensorflow.keras.preprocessing import image
from tensorflow.compat.v1 import ConfigProto
from tqdm import tqdm
import shutil
from animal_classification_report_generator import Animal_Classi... | 0 | 0 | 0 | 0 | 0 | 283 | 0 | 37 | 117 |
a36a8b7dce2983389c6d63da6857d0c35d38edc4 | 2,161 | py | Python | examples/host_variant_call.py | ihmpdcc/cutlass | 7c4d858bf0075361235e26ea25631a8d1c5152c2 | [
"MIT"
] | 5 | 2015-06-26T13:16:55.000Z | 2021-08-31T06:00:28.000Z | examples/host_variant_call.py | ihmpdcc/cutlass | 7c4d858bf0075361235e26ea25631a8d1c5152c2 | [
"MIT"
] | 10 | 2015-06-25T21:50:06.000Z | 2017-12-18T22:53:36.000Z | examples/host_variant_call.py | ihmpdcc/cutlass | 7c4d858bf0075361235e26ea25631a8d1c5152c2 | [
"MIT"
] | 11 | 2015-06-25T21:04:16.000Z | 2019-05-14T14:35:01.000Z | #!/usr/bin/env python
# pylint: disable=C0111, C0325
import logging
import sys
import tempfile
from pprint import pprint
from cutlass import HostVariantCall
from cutlass import iHMPSession
username = "test"
password = "test"
def set_logging():
""" Setup logging. """
root = logging.getLogger()
root.setLe... | 25.127907 | 89 | 0.706617 | #!/usr/bin/env python
# pylint: disable=C0111, C0325
import logging
import sys
import tempfile
from pprint import pprint
from cutlass import HostVariantCall
from cutlass import iHMPSession
username = "test"
password = "test"
def set_logging():
""" Setup logging. """
root = logging.getLogger()
root.setLe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f15612cae706633992d9a4c4bd4f4a0593622e0 | 3,869 | py | Python | bin/generate.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | 1 | 2019-11-11T11:21:08.000Z | 2019-11-11T11:21:08.000Z | bin/generate.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | null | null | null | bin/generate.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | 1 | 2020-01-28T03:48:14.000Z | 2020-01-28T03:48:14.000Z | import argparse
# import sys
import os
from patient import Patient
from vitals import VitalSigns
from lab import Lab
from socialhistory import SocialHistory
from familyhistory import FamilyHistory
from immunization import Immunization
from procedure import Procedure
from condition import Condition
from med import Med
f... | 29.761538 | 95 | 0.595761 | import argparse
# import sys
import os
from patient import Patient
from vitals import VitalSigns
from lab import Lab
from socialhistory import SocialHistory
from familyhistory import FamilyHistory
from immunization import Immunization
from procedure import Procedure
from condition import Condition
from m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 |
ad7c2d9339b1ad2a556d9bc9431a0ea4036d8092 | 31,169 | py | Python | tests/integration/incremental_trees/test_trees.py | garethjns/IncrementalTrees | dbc6324a36bd7a597ad8d7f4bc66e7cdab433df6 | [
"MIT"
] | 22 | 2019-01-10T15:52:23.000Z | 2021-12-23T21:55:36.000Z | tests/integration/incremental_trees/test_trees.py | garethjns/IncrementalTrees | dbc6324a36bd7a597ad8d7f4bc66e7cdab433df6 | [
"MIT"
] | 6 | 2019-02-13T09:04:05.000Z | 2021-08-17T13:49:15.000Z | tests/integration/incremental_trees/test_trees.py | garethjns/IncrementalTrees | dbc6324a36bd7a597ad8d7f4bc66e7cdab433df6 | [
"MIT"
] | 3 | 2019-12-10T15:52:48.000Z | 2021-02-22T22:04:22.000Z | import sklearn
| 34.709354 | 118 | 0.528217 | import unittest
import numpy as np
import sklearn
import sklearn.datasets
from incremental_trees.models.classification.streaming_extc import StreamingEXTC
from incremental_trees.models.regression.streaming_extr import StreamingEXTR
from incremental_trees.models.regression.streaming_rfr import StreamingRFR
from increm... | 0 | 23,164 | 0 | 6,410 | 0 | 0 | 0 | 226 | 1,318 |
fe2d5fb810aa19356f6a559afc7030f56fb8ff31 | 4,191 | py | Python | lib/scan/icmp/engine.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 35 | 2019-10-17T17:42:50.000Z | 2020-10-06T12:08:29.000Z | lib/scan/icmp/engine.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 1 | 2022-03-29T22:02:36.000Z | 2022-03-29T22:02:36.000Z | lib/scan/icmp/engine.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 7 | 2019-10-17T21:46:09.000Z | 2021-12-15T04:56:29.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import socket
import os
from lib.icmp.engine import send_one_ping, receive_one_ping
def do_one_ping(dest_addr, timeout, psize):
"""
Returns either the delay (in seconds) or none on timeout.
"""
icmp = socket.getprotobyname("icmp")
try:
my_soc... | 44.115789 | 119 | 0.527798 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import socket
import os
import socks
import json
from core.targets import target_type
from core.alert import info
from core.alert import messages
from core.alert import warn
from lib.icmp.engine import send_one_ping, receive_one_ping
from lib.socks_resolver.engine import g... | 0 | 0 | 0 | 0 | 0 | 3,271 | 0 | 66 | 244 |
a3fef9108c5f8d1dadbba5932d912357a779a996 | 181 | py | Python | script.module.streamlink.crypto/lib/cryptopy/passwords/__init__.py | bobbybark/tantrumrepo | 1451c481254d3fedec9f430139d18db7312a9b1a | [
"Beerware"
] | 3 | 2020-03-03T13:21:44.000Z | 2021-07-21T09:53:31.000Z | script.module.streamlink.crypto/lib/cryptopy/passwords/__init__.py | eggman19/tantrumrepo | 1451c481254d3fedec9f430139d18db7312a9b1a | [
"Beerware"
] | null | null | null | script.module.streamlink.crypto/lib/cryptopy/passwords/__init__.py | eggman19/tantrumrepo | 1451c481254d3fedec9f430139d18db7312a9b1a | [
"Beerware"
] | 1 | 2018-08-30T20:04:34.000Z | 2018-08-30T20:04:34.000Z | """ CryptoPy - a pure python cryptographic libraries
cryptopy.passwords package
Copyright (c) 2002 by Paul A. Lambert
Read LICENSE.txt for license information.
"""
| 22.625 | 52 | 0.707182 | """ CryptoPy - a pure python cryptographic libraries
cryptopy.passwords package
Copyright (c) 2002 by Paul A. Lambert
Read LICENSE.txt for license information.
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8ad09c19a037f5d5d993e9d98f715be4f4596b89 | 1,722 | py | Python | azure-servicefabric/azure/servicefabric/models/deployed_service_package_health_state_chunk.py | SUSE/azure-sdk-for-python | 324f99d26dd6f4ee9793b9bf1d4d5f928e4b6c2f | [
"MIT"
] | 2 | 2020-07-29T14:22:17.000Z | 2020-11-06T18:47:40.000Z | azure-servicefabric/azure/servicefabric/models/deployed_service_package_health_state_chunk.py | SUSE/azure-sdk-for-python | 324f99d26dd6f4ee9793b9bf1d4d5f928e4b6c2f | [
"MIT"
] | 1 | 2016-08-01T07:37:04.000Z | 2016-08-01T07:37:04.000Z | azure-servicefabric/azure/servicefabric/models/deployed_service_package_health_state_chunk.py | SUSE/azure-sdk-for-python | 324f99d26dd6f4ee9793b9bf1d4d5f928e4b6c2f | [
"MIT"
] | 1 | 2020-12-12T21:04:41.000Z | 2020-12-12T21:04:41.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 43.05 | 106 | 0.680604 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 1,162 | 0 | 0 | 0 | 40 | 46 |
07e0a04afe6a8a7ee2183f140d652851a60d23ac | 2,708 | py | Python | chooseK.py | gadgrandez/fastStructure | 98f85880562e2c4f4aacb4c8304d0e1aed551985 | [
"MIT"
] | 92 | 2015-03-16T20:05:46.000Z | 2022-03-22T14:31:16.000Z | chooseK.py | gadgrandez/fastStructure | 98f85880562e2c4f4aacb4c8304d0e1aed551985 | [
"MIT"
] | 47 | 2015-01-01T11:18:52.000Z | 2022-03-03T11:11:39.000Z | chooseK.py | gadgrandez/fastStructure | 98f85880562e2c4f4aacb4c8304d0e1aed551985 | [
"MIT"
] | 45 | 2015-02-20T18:26:32.000Z | 2022-03-31T02:12:31.000Z | import numpy as np
import getopt
import vars.utils as utils
import glob
import sys
import pdb
def parse_logs(files):
"""
parses through log files to extract marginal
likelihood estimates from executing the
variational inference algorithm on a dataset.
Arguments:
files : list
... | 23.964602 | 104 | 0.608567 | import numpy as np
import getopt
import vars.utils as utils
import glob
import sys
import pdb
def parse_logs(files):
"""
parses through log files to extract marginal
likelihood estimates from executing the
variational inference algorithm on a dataset.
Arguments:
files : list
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1f186c3fb2179eed2f5999b503f9f4a488d20829 | 5,287 | py | Python | backend/question_generation.py | tkyaw1/lotus | 3d1eabf3ef2dec26d9d846a787c9f9e018b94740 | [
"MIT"
] | null | null | null | backend/question_generation.py | tkyaw1/lotus | 3d1eabf3ef2dec26d9d846a787c9f9e018b94740 | [
"MIT"
] | null | null | null | backend/question_generation.py | tkyaw1/lotus | 3d1eabf3ef2dec26d9d846a787c9f9e018b94740 | [
"MIT"
] | null | null | null | from random import randint
import requests
from watson_developer_cloud import NaturalLanguageUnderstandingV1
from watson_developer_cloud.natural_language_understanding_v1 import Features, KeywordsOptions
"""
argv[1] : keyword dictionary
argv[2] : corpus
argv[3] : user text
"""
def azure_extra... | 40.05303 | 124 | 0.641763 | import sys
import ast
from random import randint
from questions_backend import QuestionGeneration
import requests
from watson_developer_cloud import NaturalLanguageUnderstandingV1
from watson_developer_cloud.natural_language_understanding_v1 import Features, KeywordsOptions
import json
"""
argv[1] : ke... | 0 | 0 | 0 | 0 | 0 | 2,500 | 0 | -5 | 117 |
ee28e9bb6b7d358dd75e9453b453527788ab80b1 | 3,758 | py | Python | World/Object/Player.py | VeryHardBit/Duengon-and-puzzle | b877c240ca6a1d01d2962d90a958ae7d7bf8c966 | [
"Apache-2.0"
] | null | null | null | World/Object/Player.py | VeryHardBit/Duengon-and-puzzle | b877c240ca6a1d01d2962d90a958ae7d7bf8c966 | [
"Apache-2.0"
] | null | null | null | World/Object/Player.py | VeryHardBit/Duengon-and-puzzle | b877c240ca6a1d01d2962d90a958ae7d7bf8c966 | [
"Apache-2.0"
] | null | null | null | #clear warning from pylance | 30.306452 | 90 | 0.556945 | from .__init__helper import *
#clear warning from pylance
from .Exit import *
from .Trap import *
from .Chair import *
from .Monster import *
class Player(CommonObject):
def __init__(self,data,move_limit=999):
CommonObject.__init__(self)
data.setdefault('pos',[None,None])
self.take... | 0 | 128 | 0 | 3,466 | 0 | 0 | 0 | 4 | 133 |
89a51b1d0d3097aa038bbc187a0f87245edbbe4a | 4,265 | py | Python | python/301.remove-invalid-parentheses.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 10 | 2019-09-15T00:23:57.000Z | 2022-01-05T12:53:42.000Z | python/301.remove-invalid-parentheses.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 3 | 2021-06-30T00:39:26.000Z | 2021-08-01T07:13:59.000Z | python/301.remove-invalid-parentheses.py | Zhenye-Na/leetcode | 95196a45f5709ccf7b970ee5ac84a4bf8fe2301e | [
"MIT"
] | 6 | 2020-02-08T02:55:22.000Z | 2022-01-02T22:48:18.000Z | #
# @lc app=leetcode id=301 lang=python3
#
# [301] Remove Invalid Parentheses
#
# https://leetcode.com/problems/remove-invalid-parentheses/description/
#
# algorithms
# Hard (44.46%)
# Likes: 3255
# Dislikes: 151
# Total Accepted: 258.9K
# Total Submissions: 577.9K
# Testcase Example: '"()())()"'
#
# Given a str... | 23.563536 | 136 | 0.470106 | #
# @lc app=leetcode id=301 lang=python3
#
# [301] Remove Invalid Parentheses
#
# https://leetcode.com/problems/remove-invalid-parentheses/description/
#
# algorithms
# Hard (44.46%)
# Likes: 3255
# Dislikes: 151
# Total Accepted: 258.9K
# Total Submissions: 577.9K
# Testcase Example: '"()())()"'
#
# Given a str... | 0 | 0 | 0 | 3,141 | 0 | 0 | 0 | 0 | 44 |
e34127824eec96967909d57d5a908b161b521182 | 11,165 | py | Python | jupyterlab_bookmarks_extension/handlers.py | nandor-poka/jupyterlab-favorites-extension | 2fde99e9557e19934323c42a46d5da6a4ce0d95d | [
"BSD-3-Clause"
] | 3 | 2020-07-22T16:57:48.000Z | 2020-08-16T18:50:55.000Z | jupyterlab_bookmarks_extension/handlers.py | nandor-poka/jupyterlab-bookmarks-extension | 2fde99e9557e19934323c42a46d5da6a4ce0d95d | [
"BSD-3-Clause"
] | null | null | null | jupyterlab_bookmarks_extension/handlers.py | nandor-poka/jupyterlab-bookmarks-extension | 2fde99e9557e19934323c42a46d5da6a4ce0d95d | [
"BSD-3-Clause"
] | null | null | null | import os
import logging
_extension_home_dir = os.path.join(os.environ["HOME"],'.jl-bookmarks')
if not os.path.exists(_extension_home_dir):
## Create <USER_HOME/.jl-bookmarks dir if it doesn't exists.
try:
os.mkdir(_extension_home_dir)
except OSError:
print(f'Could not create extension hom... | 41.351852 | 150 | 0.559248 | import json
from notebook.base.handlers import APIHandler
from notebook.utils import url_path_join
import tornado
import os
import logging
import shutil
_extension_home_dir = os.path.join(os.environ["HOME"],'.jl-bookmarks')
if not os.path.exists(_extension_home_dir):
## Create <USER_HOME/.jl-bookmarks dir if it d... | 0 | 8,424 | 0 | 105 | 0 | 1,157 | 0 | 18 | 511 |
a54ca5e691b97d645309506655cea48313685749 | 463 | py | Python | 4dev/style_check.py | joschu/c | 90b15ab041fc2137e62b96e8612ccee605f71ceb | [
"MIT"
] | 698 | 2015-08-25T08:17:42.000Z | 2022-02-08T10:08:01.000Z | 4dev/style_check.py | xiaohu2015/cgt | 90b15ab041fc2137e62b96e8612ccee605f71ceb | [
"MIT"
] | 59 | 2015-08-25T17:45:24.000Z | 2021-11-14T16:58:52.000Z | 4dev/style_check.py | xiaohu2015/cgt | 90b15ab041fc2137e62b96e8612ccee605f71ceb | [
"MIT"
] | 111 | 2015-08-25T20:35:17.000Z | 2021-09-18T03:35:28.000Z | #!/usr/bin/env python
import cgt
for (name,val) in cgt.__dict__.iteritems():
if not name.startswith("_"):
if not val.__doc__:
print "API function %s requires docstring!"%name
for (name,val) in cgt.core.__dict__.iteritems():
if isinstance(val, type) and issubclass(val, cgt.core.Op):
... | 33.071429 | 78 | 0.676026 | #!/usr/bin/env python
import cgt
for (name,val) in cgt.__dict__.iteritems():
if not name.startswith("_"):
if not val.__doc__:
print "API function %s requires docstring!"%name
for (name,val) in cgt.core.__dict__.iteritems():
if isinstance(val, type) and issubclass(val, cgt.core.Op):
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3cf05e0a5e89bfc1f91c3e9834b6e41b79749af4 | 540 | py | Python | account/models.py | Gandabh/ToDo-App | 0245a5c177ef35d5e04fe4e6cd80b387f604db2d | [
"MIT"
] | null | null | null | account/models.py | Gandabh/ToDo-App | 0245a5c177ef35d5e04fe4e6cd80b387f604db2d | [
"MIT"
] | null | null | null | account/models.py | Gandabh/ToDo-App | 0245a5c177ef35d5e04fe4e6cd80b387f604db2d | [
"MIT"
] | null | null | null | # from django.contrib.auth import get_user_model
# from django.contrib.auth.forms import UserCreationForm, UsernameField, AuthenticationForm
# User = get_user_model()
| 38.571429 | 91 | 0.805556 | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth import password_validation
from django import forms
# from django.contrib.auth import get_user_model
from django.utils.translation import gettext, gettext_lazy as _
# from django.contrib.auth.forms import UserCrea... | 0 | 0 | 0 | 126 | 0 | 0 | 0 | 113 | 133 |
044f39812b0037fb52998ffe9fae3836505e0468 | 1,395 | py | Python | lib/models/model_manager.py | donnyyou/openseg.pytorch | ff55a5d975b7cd806e01ba539db9207d45b0e221 | [
"Apache-2.0"
] | 5 | 2020-04-17T01:56:52.000Z | 2021-03-04T11:15:09.000Z | lib/models/model_manager.py | donnyyou/openseg.pytorch | ff55a5d975b7cd806e01ba539db9207d45b0e221 | [
"Apache-2.0"
] | null | null | null | lib/models/model_manager.py | donnyyou/openseg.pytorch | ff55a5d975b7cd806e01ba539db9207d45b0e221 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com), Xiangtai(lxtpku@pku.edu.cn)
# Select Seg Model for img segmentation.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from lib.models.nets.asp_ocnet import AspOCNet
from... | 29.0625 | 70 | 0.738351 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com), Xiangtai(lxtpku@pku.edu.cn)
# Select Seg Model for img segmentation.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from lib.models.nets.asp_ocnet import AspOCNet
from... | 0 | 0 | 0 | 385 | 0 | 0 | 0 | 27 | 45 |
ac3898b6a4f86e4257dd62853544a600836e7c92 | 5,488 | py | Python | initial.py | SBelkaid/NEDMED | 6b7a3c6d8697cb07ab175eeec43d9e933bd33784 | [
"BSD-4-Clause-UC"
] | null | null | null | initial.py | SBelkaid/NEDMED | 6b7a3c6d8697cb07ab175eeec43d9e933bd33784 | [
"BSD-4-Clause-UC"
] | null | null | null | initial.py | SBelkaid/NEDMED | 6b7a3c6d8697cb07ab175eeec43d9e933bd33784 | [
"BSD-4-Clause-UC"
] | null | null | null | import pandas as pd
import tempfile
import matplotlib.pyplot as plt
from collections import defaultdict
import pickle
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.svm import LinearSVC
from sklearn.feature_extraction.text import TfidfTr... | 34.734177 | 112 | 0.748178 | import pandas as pd
import tempfile
import matplotlib.pyplot as plt
from collections import defaultdict
import pickle
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.svm import LinearSVC
from sklearn.feature_extraction.text import TfidfTr... | 0 | 0 | 0 | 0 | 0 | 2,540 | 0 | 0 | 92 |
e0ff627b97c4b3c29c0e816701a8b564df29a301 | 3,533 | py | Python | paas-ce/paas/login/bkaccount/opsany_user_auth.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | null | null | null | paas-ce/paas/login/bkaccount/opsany_user_auth.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | null | null | null | paas-ce/paas/login/bkaccount/opsany_user_auth.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 34.980198 | 103 | 0.58364 | # -*- coding: utf-8 -*-
import requests
import settings
import json
class OpsAnyRbacUserAuth(object):
APP_CODE = "rbac"
APP_SECRET = "8a628f06-ed28-4d60-8ce8-458ae52efb6a"
BK_URL = "{}://{}".format(settings.HTTP_SCHEMA, settings.PAAS_INNER_DOMAIN)
ACCESS_TOKEN = "opsany-esb-auth-token-9e8083137204"
... | 0 | 0 | 0 | 3,439 | 0 | 0 | 0 | -22 | 89 |
028c93992478afeb41f66bfcf3209ee8619e96df | 835 | py | Python | 2 semester/DM/Practics/2022-02-02/Prim.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | 1 | 2022-02-06T17:50:25.000Z | 2022-02-06T17:50:25.000Z | 2 semester/DM/Practics/2022-02-02/Prim.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | null | null | null | 2 semester/DM/Practics/2022-02-02/Prim.py | kurpenok/Labs | 069c92b7964a1445d093313b38ebdc56318d2a73 | [
"MIT"
] | 1 | 2022-03-02T06:45:06.000Z | 2022-03-02T06:45:06.000Z |
count = int(input("[>] Enter count of tops: "))
graph = [(float("inf"), -1, -1)]
status = True
while True:
status = input("[>] Enter the element of graph (lenght, top 1, top 2): ")
if status:
status = tuple(map(int, status.split()))
graph.append(status)
else:
break
unified = {1... | 20.875 | 142 | 0.543713 | def get_min(graph: list, unified: set):
rm = (float("inf"), -1, -1)
for top in unified:
rr = min(graph, key=lambda x: x[0] if (x[1] == top or x[2] == top) and (x[1] not in unified or x[2] not in unified) else float("inf"))
if rm[0] > rr[0]:
rm = rr
return rm
count = int(i... | 0 | 0 | 0 | 0 | 0 | 283 | 0 | 0 | 22 |
10a4d9d56f2cf6d284479217c6b98b329c1bf0e3 | 2,994 | py | Python | ros/src/tl_detector/light_classification/object_detector.py | FYamazaki/CarND-Capstone | bb97ce7733af1029715e2ea9764e20a5f0cb04a5 | [
"MIT"
] | null | null | null | ros/src/tl_detector/light_classification/object_detector.py | FYamazaki/CarND-Capstone | bb97ce7733af1029715e2ea9764e20a5f0cb04a5 | [
"MIT"
] | null | null | null | ros/src/tl_detector/light_classification/object_detector.py | FYamazaki/CarND-Capstone | bb97ce7733af1029715e2ea9764e20a5f0cb04a5 | [
"MIT"
] | null | null | null | import os
# This is needed since the notebook is stored in the object_detection folder.
#sys.path.append("..")
#from object_detection.utils import ops as utils_ops
#from object_detection.utils import label_map_util
# What model to download.
TOP_DIR = os.path.dirname(os.path.realpath(__file__))
#MODEL_NAME = 'ssd_mobi... | 45.363636 | 97 | 0.681697 | import numpy as np
import os
import sys
import tensorflow as tf
from collections import defaultdict
import cv2
# This is needed since the notebook is stored in the object_detection folder.
#sys.path.append("..")
#from object_detection.utils import ops as utils_ops
#from object_detection.utils import label_map_util
# ... | 0 | 0 | 0 | 2,079 | 0 | 0 | 0 | -9 | 133 |
88271ee8e9061e6f7af180bb0d5f8c84aaa44eab | 3,091 | py | Python | scripts/arcamax.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | scripts/arcamax.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | scripts/arcamax.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (C) 2013-2014 Bastian Kleineidam
"""
Script to get arcamax comics and save the info in a JSON file for further processing.
"""
from __future__ import print_function
import codecs
import re
import sys
import os
import requests
sys.path.append(os.path.join(os.path.dirname(__file__), ".."... | 31.865979 | 99 | 0.620511 | #!/usr/bin/env python
# Copyright (C) 2013-2014 Bastian Kleineidam
"""
Script to get arcamax comics and save the info in a JSON file for further processing.
"""
from __future__ import print_function
import codecs
import re
import sys
import os
import requests
sys.path.append(os.path.join(os.path.dirname(__file__), ".."... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71e9b3b0d6b6a0020225dadc1228e85cf26a21ec | 6,831 | py | Python | tensorflow_1_x/7_kaggle/learntools/python/ex6.py | amitbcp/machine_learning_with_Scikit_Learn_and_TensorFlow | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 11 | 2019-12-19T08:55:52.000Z | 2021-10-01T13:07:13.000Z | tensorflow_1_x/7_kaggle/learntools/python/ex6.py | amitbcp/Scikit_Learn_TensorFlow_Examples | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 5 | 2019-10-09T01:41:19.000Z | 2022-02-10T00:19:01.000Z | tensorflow_1_x/7_kaggle/learntools/python/ex6.py | amitbcp/Scikit_Learn_TensorFlow_Examples | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 7 | 2019-10-08T06:10:14.000Z | 2020-12-01T07:49:21.000Z |
import learntools.python.solns.word_search as word_search_module
word_search = word_search_module.word_search
import learntools.python.solns.multi_word_search as mws_module
multi_word_search = mws_module.multi_word_search
import learntools.python.solns.diamond as d_module
diamond = d_module.diamond
import learntools.p... | 31.334862 | 86 | 0.555848 | import itertools
from learntools.core import *
import learntools.python.solns.word_search as word_search_module
word_search = word_search_module.word_search
import learntools.python.solns.multi_word_search as mws_module
multi_word_search = mws_module.multi_word_search
import learntools.python.solns.diamond as d_modul... | 0 | 0 | 0 | 5,858 | 0 | 0 | 0 | 3 | 271 |
2b470d3edac6d955d7563b20b7e71e3d01609b82 | 6,491 | py | Python | test.py | InformaticsMatters/data-manager-api | 54182d99bb5e4bd8fb6c8dc273b5a71d0b2a17f8 | [
"MIT"
] | null | null | null | test.py | InformaticsMatters/data-manager-api | 54182d99bb5e4bd8fb6c8dc273b5a71d0b2a17f8 | [
"MIT"
] | null | null | null | test.py | InformaticsMatters/data-manager-api | 54182d99bb5e4bd8fb6c8dc273b5a71d0b2a17f8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""A simple developer-centric test script.
"""
import os
# Get configuration from the environment.
# All the expected variables must be defined...
API_URL: str = os.environ['SQUONK_API_URL']
KEYCLOAK_URL: str = os.environ['SQUONK_API_KEYCLOAK_URL']
KEYCLOAK_REALM: str = os.environ['SQUONK_API_KEY... | 36.880682 | 99 | 0.624249 | #!/usr/bin/env python
"""A simple developer-centric test script.
"""
import argparse
import os
import time
from dm_api.dm_api import DmApi, DmApiRv
# Get configuration from the environment.
# All the expected variables must be defined...
API_URL: str = os.environ['SQUONK_API_URL']
KEYCLOAK_URL: str = os.environ['SQUO... | 0 | 0 | 0 | 0 | 0 | 5,814 | 0 | 3 | 90 |
532941aad19ad056730cbedd207645861d10be3b | 1,190 | py | Python | exercise/exercise_bonus/thread_process.py | Bizarious/python-lessons | 24144f03d70d9ed52b0430d4cc2aca9dcded14a3 | [
"CC-BY-4.0"
] | null | null | null | exercise/exercise_bonus/thread_process.py | Bizarious/python-lessons | 24144f03d70d9ed52b0430d4cc2aca9dcded14a3 | [
"CC-BY-4.0"
] | null | null | null | exercise/exercise_bonus/thread_process.py | Bizarious/python-lessons | 24144f03d70d9ed52b0430d4cc2aca9dcded14a3 | [
"CC-BY-4.0"
] | null | null | null |
# Process einfach durch Thread erstetzen, wenn multithreading statt processing gewnscht ist
if __name__ == "__main__":
main(16, 80000000)
| 23.8 | 92 | 0.608403 | from threading import Thread
from multiprocessing import Process, Queue
from time import time
from numpy import array_split
# Process einfach durch Thread erstetzen, wenn multithreading statt processing gewünscht ist
class Worker(Process):
def __init__(self, working_list: list[int], queue: Queue):
super()... | 2 | 0 | 0 | 315 | 0 | 558 | 0 | 36 | 133 |
a170e4fa7fd60629c749d5bb3f8aed2cdb44eebf | 1,575 | py | Python | autoencoders/vae_test.py | Loptt/pong-autoencoder | c5123bb2466f644f7513d807044e11a4a17aae22 | [
"MIT"
] | null | null | null | autoencoders/vae_test.py | Loptt/pong-autoencoder | c5123bb2466f644f7513d807044e11a4a17aae22 | [
"MIT"
] | 1 | 2021-03-19T03:06:46.000Z | 2021-08-02T13:29:05.000Z | autoencoders/vae_test.py | Loptt/pong-autoencoder | c5123bb2466f644f7513d807044e11a4a17aae22 | [
"MIT"
] | null | null | null | from autoencoders.VAE import VAEBallTrack
from keras.preprocessing.image import ImageDataGenerator
DATASET_SIZE = 11862
INPUT_SHAPE = (40, 40, 1)
datagen = ImageDataGenerator(
rescale=1./255,
validation_split=0.2,
horizontal_flip=True,
vertical_flip=True
)
# Allow horizontal flip as a mirror image of ... | 37.5 | 80 | 0.464127 | from autoencoders.VAE import VAE, VAEBallTrack
from keras.preprocessing.image import ImageDataGenerator
DATASET_SIZE = 11862
INPUT_SHAPE = (40, 40, 1)
datagen = ImageDataGenerator(
rescale=1./255,
validation_split=0.2,
horizontal_flip=True,
vertical_flip=True
)
# Allow horizontal flip as a mirror imag... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
5bb7b13e9586d639568071517cd8cf3338699400 | 2,641 | py | Python | pilot/vehicle_bridge/zmq_device_pub.py | yanbarurobotics/PythonPilot | eb07c620320c90ba85941041d08678a6142f988f | [
"Apache-2.0"
] | 129 | 2019-05-21T09:15:12.000Z | 2022-03-03T15:14:32.000Z | pilot/vehicle_bridge/zmq_device_pub.py | yanbarurobotics/PythonPilot | eb07c620320c90ba85941041d08678a6142f988f | [
"Apache-2.0"
] | 1 | 2022-03-28T04:21:54.000Z | 2022-03-28T04:21:54.000Z | pilot/vehicle_bridge/zmq_device_pub.py | yanbarurobotics/PythonPilot | eb07c620320c90ba85941041d08678a6142f988f | [
"Apache-2.0"
] | 31 | 2019-05-21T23:31:24.000Z | 2022-03-21T19:22:40.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import sys
import time
import yaml
sys.path.append(os.path.join(os.path.dirname('__file__'), '..'))
if __name__ == '__main__':
# Load config
ymlfile = open('../../vehicle/vehicle_config.yml')
cfg = yaml.load(ymlfile)
ymlfile.close()
pub_device... | 29.674157 | 85 | 0.520636 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import numpy as np
import os
import struct
import sys
import threading
import time
import yaml
import zmq
sys.path.append(os.path.join(os.path.dirname('__file__'), '..'))
from common.pilot_gloval_variable import MPVariable
class PubDevice():
def __init__(self, cfg):
... | 0 | 0 | 0 | 2,044 | 0 | 0 | 0 | 3 | 135 |
db2c5b197f719a8eaaa2392a9bc811f4cdcb78cc | 1,710 | py | Python | deep_gw_pe_followup/restricted_prior/multiproc/mpi_prior_calc.py | avivajpeyi/gw_pe_judge | 151d597fdd6128a278e1d4cff65d3e6776e1fa83 | [
"MIT"
] | null | null | null | deep_gw_pe_followup/restricted_prior/multiproc/mpi_prior_calc.py | avivajpeyi/gw_pe_judge | 151d597fdd6128a278e1d4cff65d3e6776e1fa83 | [
"MIT"
] | null | null | null | deep_gw_pe_followup/restricted_prior/multiproc/mpi_prior_calc.py | avivajpeyi/gw_pe_judge | 151d597fdd6128a278e1d4cff65d3e6776e1fa83 | [
"MIT"
] | null | null | null | from mpi4py import MPI
comm = MPI.COMM_WORLD
pe = comm.Get_rank() # identity of this process (process element, sometimes called rank)
nprocs = comm.Get_size() # number of processes
root = nprocs - 1 # special process responsible for administrative work
| 32.884615 | 89 | 0.684211 | import numpy as np
from mpi4py import MPI
from tqdm import tqdm
from ..prob_calculators import get_p_cos1_given_xeff_q_a1, get_p_a1_given_xeff_q
comm = MPI.COMM_WORLD
pe = comm.Get_rank() # identity of this process (process element, sometimes called rank)
nprocs = comm.Get_size() # number of processes
root = nprocs... | 0 | 0 | 0 | 0 | 0 | 1,235 | 0 | 56 | 159 |
e21aca6a8833721cc644eea55ab7b119e19120ff | 3,009 | py | Python | Models/miyazaki.py | ai-se/george | cc4f388edaae3ebcb7ac34e964b38884553cb9b1 | [
"MIT"
] | null | null | null | Models/miyazaki.py | ai-se/george | cc4f388edaae3ebcb7ac34e964b38884553cb9b1 | [
"MIT"
] | 19 | 2015-01-10T00:14:52.000Z | 2017-04-24T20:31:00.000Z | Models/miyazaki.py | ai-se/george | cc4f388edaae3ebcb7ac34e964b38884553cb9b1 | [
"MIT"
] | null | null | null | """
# https://code.google.com/p/promisedata/source/browse/#svn%2Ftrunk%2Feffort%2Falbrecht
Standard header:
"""
from __future__ import division,print_function
import sys
sys.dont_write_bytecode = True
"""
@attribute KLOC numeric
@attribute SCRN numeric
@attribute FORM numeric
@attribute FILE numeric
@attribute ESCRN... | 31.673684 | 86 | 0.552011 | """
# https://code.google.com/p/promisedata/source/browse/#svn%2Ftrunk%2Feffort%2Falbrecht
Standard header:
"""
from __future__ import division,print_function
import sys
sys.dont_write_bytecode = True
from lib import *
"""
@attribute KLOC numeric
@attribute SCRN numeric
@attribute FORM numeric
@attribute FILE numer... | 0 | 0 | 0 | 0 | 0 | 2,540 | 0 | -3 | 68 |
f06d61ee37e12b0235d5a91ec63db16c7e5d6674 | 1,359 | py | Python | setup.py | mabel-dev/waddles | 959653ac7a66f1035e90085fc036fe7b0a1e57db | [
"Apache-2.0"
] | null | null | null | setup.py | mabel-dev/waddles | 959653ac7a66f1035e90085fc036fe7b0a1e57db | [
"Apache-2.0"
] | null | null | null | setup.py | mabel-dev/waddles | 959653ac7a66f1035e90085fc036fe7b0a1e57db | [
"Apache-2.0"
] | null | null | null | import numpy as np
from Cython.Build import cythonize
from setuptools import Extension, find_packages, setup
with open("opteryx/version.py", "r") as v:
vers = v.read()
exec(vers) # nosec
with open("README.md", "r") as rm:
long_description = rm.read()
try:
with open("requirements.txt") as f:
requ... | 29.543478 | 87 | 0.667403 | import numpy as np
from Cython.Build import cythonize
from setuptools import Extension, find_packages, setup
with open("opteryx/version.py", "r") as v:
vers = v.read()
exec(vers) # nosec
with open("README.md", "r") as rm:
long_description = rm.read()
try:
with open("requirements.txt") as f:
requ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b846773e7be4dd05414d3a546b08e4fe528fe2fe | 5,045 | py | Python | Source/JackFramework/SysBasic/argparser.py | Archaic-Atom/JackFramework | e847d0bafe335ee33caf174676d12ad3c28011a6 | [
"MIT"
] | 13 | 2021-06-20T13:42:04.000Z | 2021-12-17T05:20:56.000Z | Source/JackFramework/SysBasic/argparser.py | Archaic-Atom/JackFramework | e847d0bafe335ee33caf174676d12ad3c28011a6 | [
"MIT"
] | 81 | 2021-06-19T08:54:48.000Z | 2022-03-18T07:34:17.000Z | Source/JackFramework/SysBasic/argparser.py | Archaic-Atom/JackFramework | e847d0bafe335ee33caf174676d12ad3c28011a6 | [
"MIT"
] | 3 | 2021-12-13T09:22:23.000Z | 2022-02-16T09:42:28.000Z | # -*- coding: utf-8 -*-
# Parse the train model's para
| 47.59434 | 100 | 0.587116 | # -*- coding: utf-8 -*-
import argparse
import JackFramework.SysBasic.define as sysdefine
# Parse the train model's para
class ArgsParser(object):
"""docstring for ArgsParser"""
def __init__(self):
super().__init__()
def parse_args(self, info: str, user_define_func: object = None) -> object:
... | 0 | 3,994 | 0 | 906 | 0 | 0 | 0 | 22 | 66 |
1fb582d645a5c844e438c94c05d8cb42e6ec4024 | 667 | py | Python | web_server/ann_config.py | linsalrob/PhANNs | ba96a57226ea811fd5a284170367547cd35f9c03 | [
"MIT"
] | 10 | 2020-07-16T16:26:23.000Z | 2022-02-25T13:59:16.000Z | web_server/ann_config.py | linsalrob/PhANNs | ba96a57226ea811fd5a284170367547cd35f9c03 | [
"MIT"
] | 8 | 2020-08-26T16:08:39.000Z | 2022-02-23T20:36:25.000Z | web_server/ann_config.py | linsalrob/PhANNs | ba96a57226ea811fd5a284170367547cd35f9c03 | [
"MIT"
] | 3 | 2019-12-11T00:36:57.000Z | 2021-07-23T01:00:45.000Z | import os
### chage the base path.
#prefix='/phanns'
prefix=''
path = os.path.abspath(__file__)
root_dir = os.path.dirname(path)
#fasta_dir = os.path.join(root_dir, 'fasta')
model_dir = os.path.join(root_dir, 'deca_model')
fasta_dir = os.path.join(root_dir, 'fasta')
#model_dir = os.path.join(root_dir, 'model_under_va... | 21.516129 | 73 | 0.734633 | import os
import pickle
from tensorflow.keras.models import load_model
import tensorflow as tf
### chage the base path.
#prefix='/phanns'
prefix=''
path = os.path.abspath(__file__)
root_dir = os.path.dirname(path)
#fasta_dir = os.path.join(root_dir, 'fasta')
model_dir = os.path.join(root_dir, 'deca_model')
fasta_dir ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 66 |
c086e453a920a54da1b07c1d4d19f99d51896f78 | 9,502 | py | Python | torch2coreml/_torch_converter.py | jookovjook/torch2coreml | ee461ba8fd45ac49f96095f8a76aa66723854cd3 | [
"MIT"
] | 391 | 2017-08-29T19:07:13.000Z | 2022-01-31T18:51:58.000Z | torch2coreml/_torch_converter.py | jookovjook/torch2coreml | ee461ba8fd45ac49f96095f8a76aa66723854cd3 | [
"MIT"
] | 26 | 2017-09-01T22:47:53.000Z | 2018-08-22T16:40:19.000Z | torch2coreml/_torch_converter.py | jookovjook/torch2coreml | ee461ba8fd45ac49f96095f8a76aa66723854cd3 | [
"MIT"
] | 53 | 2017-08-29T20:14:03.000Z | 2021-03-08T13:22:08.000Z | import torch
from torch.utils.serialization import load_lua
from coremltools.models.neural_network import NeuralNetworkBuilder
from coremltools.models import MLModel, datatypes
import _layers
from _layers import _get_layer_converter_fn
from _utils import _gen_layer_name
_DEPROCESS_LAYER_NAME = 'deprocess_image'
... | 32.210169 | 177 | 0.616712 | import numpy as np
import torch
from torch.utils.serialization import load_lua
from coremltools.models.neural_network import NeuralNetworkBuilder
from coremltools.models import MLModel, datatypes
import _layers
from _layers import _get_layer_converter_fn
from _utils import _gen_layer_name
from _utils import _conve... | 0 | 0 | 0 | 0 | 0 | 2,176 | 0 | 30 | 90 |
91cd4b0a02ca18d81e8343d914836eb64f641fde | 116 | py | Python | config_speech/elasticsearch_dsl_config.py | shirosweets/vosk-speech-to-text | 4667b107dd3ba174435e8deab1c122d83381e902 | [
"MIT"
] | 1 | 2021-04-16T01:49:39.000Z | 2021-04-16T01:49:39.000Z | config_speech/elasticsearch_dsl_config.py | shirosweets/vosk-speech-to-text | 4667b107dd3ba174435e8deab1c122d83381e902 | [
"MIT"
] | null | null | null | config_speech/elasticsearch_dsl_config.py | shirosweets/vosk-speech-to-text | 4667b107dd3ba174435e8deab1c122d83381e902 | [
"MIT"
] | null | null | null | # Configuracin necesaria para elasticsearch
INDEX_ELASTIC = "parse-speech"
HOST_ELASTIC = "http://localhost:8000"
| 23.2 | 44 | 0.793103 | # Configuración necesaria para elasticsearch
INDEX_ELASTIC = "parse-speech"
HOST_ELASTIC = "http://localhost:8000"
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10015d5d779ee19ba672b8bdb042838be9332335 | 28,793 | py | Python | scripts/python/lib/switch_common.py | purushammi/power-up | 104a984a6ed735278d732926ffb5bed019e37e98 | [
"Apache-2.0"
] | null | null | null | scripts/python/lib/switch_common.py | purushammi/power-up | 104a984a6ed735278d732926ffb5bed019e37e98 | [
"Apache-2.0"
] | null | null | null | scripts/python/lib/switch_common.py | purushammi/power-up | 104a984a6ed735278d732926ffb5bed019e37e98 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 IBM Corp.
#
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 40.26993 | 84 | 0.555934 | # Copyright 2019 IBM Corp.
#
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 0 | 2,596 | 0 | 25,084 | 0 | 0 | 0 | 44 | 287 |
5456d85fd0b582923d24087549af7f94a42c21b9 | 2,130 | py | Python | TextParseDataModule.py | KamWithK/PyParquetLoaders | 09f8529a8c9b6854f6965346cced1169b83ba96b | [
"MIT"
] | 6 | 2020-09-22T13:50:37.000Z | 2021-11-16T12:24:42.000Z | TextParseDataModule.py | KamWithK/PyParquetLoaders | 09f8529a8c9b6854f6965346cced1169b83ba96b | [
"MIT"
] | 1 | 2021-07-07T20:01:27.000Z | 2021-07-10T08:05:12.000Z | TextParseDataModule.py | KamWithK/PyParquetLoaders | 09f8529a8c9b6854f6965346cced1169b83ba96b | [
"MIT"
] | null | null | null | # import pandas as pd
# from petastorm.pytorch import DataLoader
# class TextParseDataModule(PetastormDataModule):
# def __init__(self, train_path, val_path, batch_size=16, num_minibatchs=8, num_workers=4, text_column="", target_column="target"):
# # Tokenised columns replace text based ones
# toke... | 53.25 | 180 | 0.752582 | import numpy as np
# import pandas as pd
from PetastormDataLoaders.PetastormDataModule import PetastormDataModule
from PetastormDataLoaders.PetastormDataLoader import TransformersDataLoader
# from petastorm.pytorch import DataLoader
from petastorm.transform import TransformSpec
from transformers import AutoTokenizer
... | 0 | 0 | 0 | 713 | 0 | 0 | 0 | 143 | 134 |
b3183798aca2ae8ec311a56c354081924caaabb7 | 5,023 | py | Python | example/example2.py | mubaoinam/fragpy | 2464909d3b407cc225d270051b56342db555f8eb | [
"Apache-2.0"
] | null | null | null | example/example2.py | mubaoinam/fragpy | 2464909d3b407cc225d270051b56342db555f8eb | [
"Apache-2.0"
] | null | null | null | example/example2.py | mubaoinam/fragpy | 2464909d3b407cc225d270051b56342db555f8eb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from fragpy.min import optf
from fragpy.opt_param import param
''' RUN THIS PYHON SCRIPT
The following example corresponds to example2.inp
to be run as a python scrip rather than with
fragpy/fragpy.
'''
coord = [
['N1', -0.42041893 , -0.13177839 , -1.10917804,1 ],
['H1', -1.40858582 , ... | 49.245098 | 54 | 0.564404 | #!/usr/bin/env python
from fragpy.min import optf
from fragpy.opt_param import param
''' RUN THIS PYHON SCRIPT
The following example corresponds to example2.inp
to be run as a python scrip rather than with
fragpy/fragpy.
'''
coord = [
['N1', -0.42041893 , -0.13177839 , -1.10917804,1 ],
['H1', -1.40858582 , ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
62ddf0fea05b49f42076da650633e0ef11347fc3 | 7,098 | py | Python | samples/aci-attach-epgs-with-contract.py | richardstrnad/acitoolkit | 7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde | [
"Apache-2.0"
] | 351 | 2015-01-15T14:44:36.000Z | 2022-03-27T17:06:52.000Z | samples/aci-attach-epgs-with-contract.py | richardstrnad/acitoolkit | 7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde | [
"Apache-2.0"
] | 215 | 2015-01-11T07:05:12.000Z | 2021-12-12T15:18:10.000Z | samples/aci-attach-epgs-with-contract.py | richardstrnad/acitoolkit | 7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde | [
"Apache-2.0"
] | 324 | 2015-01-07T10:03:18.000Z | 2022-02-23T21:48:13.000Z | #!/usr/bin/env python
################################################################################
# _ ____ ___ _____ _ _ _ _ #
# / \ / ___|_ _| |_ _|__ ___ | | | _(_) |_ #
# / _ \| | | | | |/ _ \ / _ \| | |/... | 47.32 | 97 | 0.486616 | #!/usr/bin/env python
################################################################################
# _ ____ ___ _____ _ _ _ _ #
# / \ / ___|_ _| |_ _|__ ___ | | | _(_) |_ #
# / _ \| | | | | |/ _ \ / _ \| | |/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 |
2ea0b25e1493e9de9b35c7b35bcd8bdfe9144de9 | 403 | py | Python | python/setup.py | Morgul/nodepy | b0f94bff64230e8b802b7c69c1cccba67eb96f28 | [
"MIT"
] | 5 | 2015-03-31T03:33:41.000Z | 2021-02-02T07:15:40.000Z | python/setup.py | Morgul/nodepy | b0f94bff64230e8b802b7c69c1cccba67eb96f28 | [
"MIT"
] | null | null | null | python/setup.py | Morgul/nodepy | b0f94bff64230e8b802b7c69c1cccba67eb96f28 | [
"MIT"
] | 2 | 2015-01-18T17:35:19.000Z | 2016-12-15T05:55:42.000Z | #!/usr/bin/env python
from distutils.core import setup
setup(name='pynode',
version='0.1.0',
description='A python module for building a python task worker run by node.js, providing two-way communication based on socket.io.',
author='Christopher S. Case',
author_email='chris.case@g33xnexus.com... | 31 | 138 | 0.674938 | #!/usr/bin/env python
from distutils.core import setup
setup(name='pynode',
version='0.1.0',
description='A python module for building a python task worker run by node.js, providing two-way communication based on socket.io.',
author='Christopher S. Case',
author_email='chris.case@g33xnexus.com... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1993bfb86ba491ad37eece578bf3077c4754bc3 | 298 | py | Python | scout/properties/urls.py | astonecutter/scout | e2386a30b4c8c222aca3af1c6f3fa3ef94d89ad3 | [
"MIT"
] | null | null | null | scout/properties/urls.py | astonecutter/scout | e2386a30b4c8c222aca3af1c6f3fa3ef94d89ad3 | [
"MIT"
] | null | null | null | scout/properties/urls.py | astonecutter/scout | e2386a30b4c8c222aca3af1c6f3fa3ef94d89ad3 | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, url
from scout.properties import views
urlpatterns = patterns(
'',
url(r'^$', views.property_list_view, name='list'),
url(r'^add/$', views.property_add_view, name='add'),
url(r'^edit/(?P<pk>\d+)/$', views.property_edit_view, name='edit'),
) | 27.090909 | 71 | 0.66443 | from django.conf.urls import patterns, url
from scout.properties import views
urlpatterns = patterns(
'',
url(r'^$', views.property_list_view, name='list'),
url(r'^add/$', views.property_add_view, name='add'),
url(r'^edit/(?P<pk>\d+)/$', views.property_edit_view, name='edit'),
) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f3307e2de706d6d3e085bc70bb56e08971b87f44 | 1,739 | py | Python | bird.py | MowHogz/Floppy-Bird | faca5e0352598e563f2a13c17ab35ab115b25c27 | [
"MIT"
] | null | null | null | bird.py | MowHogz/Floppy-Bird | faca5e0352598e563f2a13c17ab35ab115b25c27 | [
"MIT"
] | null | null | null | bird.py | MowHogz/Floppy-Bird | faca5e0352598e563f2a13c17ab35ab115b25c27 | [
"MIT"
] | null | null | null | #.keys = the list of keys that are being pressed (since the last processed frame)
#.move - moves the birdy safely (and returns True if succeeded)
#.sets the next action for the bird (to jump or to fall, + indicators for how much to jump/fall)
#.gravity makes birdy fall/jump based on .jump and .fall indicators left move... | 27.603175 | 96 | 0.508913 |
from shape import shape
#.keys = the list of keys that are being pressed (since the last processed frame)
#.move - moves the birdy safely (and returns True if succeeded)
#.sets the next action for the bird (to jump or to fall, + indicators for how much to jump/fall)
#.gravity makes birdy fall/jump based on .jump and .... | 0 | 0 | 0 | 1,298 | 0 | 0 | 0 | 2 | 45 |
774ae4c141a5ce8c20dc21517950a35f7b2efded | 2,455 | py | Python | third_party/rlkit_library/rlkit/torch/networks/image_state.py | google-research/DBAP-algorithm | 545a4e780f9d9d480c96b67e7a8ae590a983db6b | [
"Apache-2.0"
] | 3 | 2021-08-10T00:00:19.000Z | 2021-11-05T15:28:25.000Z | third_party/rlkit_library/rlkit/torch/networks/image_state.py | google-research/DBAP-algorithm | 545a4e780f9d9d480c96b67e7a8ae590a983db6b | [
"Apache-2.0"
] | null | null | null | third_party/rlkit_library/rlkit/torch/networks/image_state.py | google-research/DBAP-algorithm | 545a4e780f9d9d480c96b67e7a8ae590a983db6b | [
"Apache-2.0"
] | 2 | 2021-11-05T15:28:15.000Z | 2022-01-16T12:00:06.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.474359 | 74 | 0.648065 | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 0 | 0 | 1,738 | 0 | 0 | 0 | 47 | 91 |
f46ed1e1bfbdd77679bdaae4fc06ab676459a5ba | 7,923 | py | Python | classification/example.py | NEWPLAN/nvcaffe-0.17.3 | 7b8e4fdef8216d8497f6d71df465e881e47e009b | [
"BSD-2-Clause"
] | null | null | null | classification/example.py | NEWPLAN/nvcaffe-0.17.3 | 7b8e4fdef8216d8497f6d71df465e881e47e009b | [
"BSD-2-Clause"
] | null | null | null | classification/example.py | NEWPLAN/nvcaffe-0.17.3 | 7b8e4fdef8216d8497f6d71df465e881e47e009b | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python2
# Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
"""
Classify an image using individual model files
Use this script as an example to build your own tool
"""
from caffe.proto import caffe_pb2
import caffe
import argparse
import os
import time
from google.protobuf import tex... | 29.563433 | 98 | 0.60886 | #!/usr/bin/env python2
# Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
"""
Classify an image using individual model files
Use this script as an example to build your own tool
"""
from caffe.proto import caffe_pb2
import caffe
import argparse
import os
import time
import pydevd
from google.proto... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 22 |
c646790c472fea2e18d88b86afe0f76ba28c8a63 | 7,796 | py | Python | coronavirus/python_scripts/utils.py | jbarton311/coronavirus-analysis | dd128f4eba01f1c274d338b6842f0c7069b0f30d | [
"MIT"
] | 14 | 2020-03-22T14:24:36.000Z | 2020-11-25T04:46:42.000Z | coronavirus/python_scripts/utils.py | jbarton311/coronavirus-analysis | dd128f4eba01f1c274d338b6842f0c7069b0f30d | [
"MIT"
] | 1 | 2020-03-24T14:32:25.000Z | 2020-03-25T12:44:26.000Z | coronavirus/python_scripts/utils.py | jbarton311/coronavirus-analysis | dd128f4eba01f1c274d338b6842f0c7069b0f30d | [
"MIT"
] | 2 | 2020-03-29T02:11:56.000Z | 2021-11-05T08:36:14.000Z | import os
from datetime import datetime
import logging
import requests
import json
import pandas as pd
from pycountry import countries
from git import Repo
from config_corona import ConfigCorona
# Set LOGGER
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s -... | 32.214876 | 107 | 0.638533 | import os
from datetime import datetime
import logging
import requests
import json
import pandas as pd
from pycountry import countries
from git import Repo
from config_corona import ConfigCorona
# Set LOGGER
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s -... | 0 | 0 | 0 | 1,631 | 0 | 0 | 0 | 0 | 23 |
4d0ded0f739b6c1a8995a5255bcc078df1121b85 | 274 | py | Python | main/SteppableDemos/SteadyStateDiffusionSolver/diffusion_steady_state_ext_potential_3D/Simulation/diffusion_steady_state_ext_potential_3D.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/SteppableDemos/SteadyStateDiffusionSolver/diffusion_steady_state_ext_potential_3D/Simulation/diffusion_steady_state_ext_potential_3D.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/SteppableDemos/SteadyStateDiffusionSolver/diffusion_steady_state_ext_potential_3D/Simulation/diffusion_steady_state_ext_potential_3D.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | 1 | 2021-02-26T21:50:29.000Z | 2021-02-26T21:50:29.000Z | from cc3d import CompuCellSetup
from diffusion_steady_state_ext_potential_3DSteppables import diffusion_steady_state_ext_potential_3DSteppable
CompuCellSetup.register_steppable(steppable=diffusion_steady_state_ext_potential_3DSteppable(frequency=1))
CompuCellSetup.run()
| 34.25 | 110 | 0.916058 | from cc3d import CompuCellSetup
from diffusion_steady_state_ext_potential_3DSteppables import diffusion_steady_state_ext_potential_3DSteppable
CompuCellSetup.register_steppable(steppable=diffusion_steady_state_ext_potential_3DSteppable(frequency=1))
CompuCellSetup.run()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae54c086d8c3243c960d1019367a2e9659fecd17 | 790 | py | Python | 3-semester/programming/indepworkinvar2-3.py | Rakleed/rgpu | 47ab2a05a8398c15be7e41e9e98fafe5c2a36627 | [
"MIT"
] | null | null | null | 3-semester/programming/indepworkinvar2-3.py | Rakleed/rgpu | 47ab2a05a8398c15be7e41e9e98fafe5c2a36627 | [
"MIT"
] | null | null | null | 3-semester/programming/indepworkinvar2-3.py | Rakleed/rgpu | 47ab2a05a8398c15be7e41e9e98fafe5c2a36627 | [
"MIT"
] | null | null | null | """
: , 1, 2.
: , -
, , n = 22,
( ).
.
,
.
"""
main()
| 27.241379 | 74 | 0.651899 | """
Автор: Моисеенко Павел, группа № 1, подгруппа № 2.
Задание: разработайте скрипт с функцией, которая для ряда Фибо-
наччи, где количество элементов, n = 22, возвращает подмножество
значений или единственное значение (по вариантам). Для нахождения
элемента требуется использовать слайсы. Формирова... | 624 | 0 | 0 | 0 | 0 | 311 | 0 | 0 | 46 |
cb075b344f4e256bc8f46377137b079b70ec5c2d | 1,154 | py | Python | leetcode32.py | aquadrop/leetcode | 683599bcb330687cdc33ebc38aeb453f86f5edd7 | [
"MIT"
] | null | null | null | leetcode32.py | aquadrop/leetcode | 683599bcb330687cdc33ebc38aeb453f86f5edd7 | [
"MIT"
] | null | null | null | leetcode32.py | aquadrop/leetcode | 683599bcb330687cdc33ebc38aeb453f86f5edd7 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
S = Solution()
a = S.longestValidParentheses(")(((((()())()()))()(()))(")
print(a) | 26.227273 | 62 | 0.322357 | class Solution:
def longestValidParentheses(self, s):
"""
:type s: str
:rtype: int
"""
stack = []
index_stack = []
if len(s) <= 1:
return 0
dp = [0] * len(s)
for i in range(len(s)):
if s[i] == '(':
dp[i] ... | 0 | 0 | 0 | 1,007 | 0 | 0 | 0 | 0 | 22 |
7c6fca7a23f3cb3d368b86b7282e2ba40d47e44c | 12,836 | py | Python | act/discovery/get_asos.py | rcjackson/ACT | c57fb55094b142bbbef63e7069d4024049996139 | [
"BSD-3-Clause"
] | 1 | 2019-09-13T16:10:37.000Z | 2019-09-13T16:10:37.000Z | act/discovery/get_asos.py | cgodine/ACT | af9f0edb76e6f16e2764d5441a4bf4d7fb3a9f39 | [
"BSD-3-Clause"
] | null | null | null | act/discovery/get_asos.py | cgodine/ACT | af9f0edb76e6f16e2764d5441a4bf4d7fb3a9f39 | [
"BSD-3-Clause"
] | null | null | null | import json
import pandas as pd
import numpy as np
import warnings
from six import StringIO
try:
from urllib.request import urlopen
except ImportError:
from urllib2 import urlopen
def get_asos(time_window, lat_range=None,
lon_range=None, station=None):
"""
Returns all of the station obs... | 45.842857 | 100 | 0.565519 | import xarray as xr
import json
import time
import pandas as pd
import numpy as np
import warnings
from six import StringIO
from datetime import datetime
try:
from urllib.request import urlopen
except ImportError:
from urllib2 import urlopen
def get_asos(time_window, lat_range=None,
lon_range=N... | 0 | 0 | 0 | 0 | 0 | 505 | 0 | -4 | 123 |
dae712f4d236f91024fef7cf2d9c5e8f96104fca | 727 | py | Python | AnalizeBonusViagem/Mundo3/exmundo3/ex074Maior e menor valores em Tupla.py | D-Wolter/Pycharm-Projects | aeb3a2464cf6c6578e5b47b13b54ff3ebd6e52dd | [
"MIT"
] | null | null | null | AnalizeBonusViagem/Mundo3/exmundo3/ex074Maior e menor valores em Tupla.py | D-Wolter/Pycharm-Projects | aeb3a2464cf6c6578e5b47b13b54ff3ebd6e52dd | [
"MIT"
] | null | null | null | AnalizeBonusViagem/Mundo3/exmundo3/ex074Maior e menor valores em Tupla.py | D-Wolter/Pycharm-Projects | aeb3a2464cf6c6578e5b47b13b54ff3ebd6e52dd | [
"MIT"
] | null | null | null | #
# from random import randint
# numeros = []
# cont = 0
# maior = 1
# menor = 99
# while cont <= 4:
# cont += 1
# gerar = randint(1,99)
# print(gerar)
# if gerar < menor:
# menor = gerar
# elif gerar > maior:
# maior = gerar
# gerar = str(gerar)
# numeros.append(gerar)
# pri... | 23.451613 | 90 | 0.592847 | #
# from random import randint
# numeros = []
# cont = 0
# maior = 1
# menor = 99
# while cont <= 4:
# cont += 1
# gerar = randint(1,99)
# print(gerar)
# if gerar < menor:
# menor = gerar
# elif gerar > maior:
# maior = gerar
# gerar = str(gerar)
# numeros.append(gerar)
# pri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ce094206baa9230d6acff87a78b99561c95795d5 | 47,654 | py | Python | internals/bin/render_figures.py | Weeks-UNC/shapemapper2 | e51a311c5219122307e250165eea6219a6a16019 | [
"MIT"
] | 16 | 2019-06-02T20:20:14.000Z | 2022-02-14T21:02:23.000Z | internals/bin/render_figures.py | uaauaguga/shapemapper2 | e51a311c5219122307e250165eea6219a6a16019 | [
"MIT"
] | 28 | 2018-10-18T14:59:54.000Z | 2022-02-21T14:29:30.000Z | internals/bin/render_figures.py | uaauaguga/shapemapper2 | e51a311c5219122307e250165eea6219a6a16019 | [
"MIT"
] | 10 | 2019-01-18T00:07:06.000Z | 2022-02-23T16:34:43.000Z | #!/usr/bin/env python3
"""
Given:
summary tab delimited file
Render:
- simple SHAPE profile
- shape profile with error bars
- modified, untreated, denatured mutation rate profiles and stderr shading
- depths for each sample FIXME: get log-scaled depths working again
- (above profiles should only be rendered for ... | 38.648824 | 152 | 0.605301 | #!/usr/bin/env python3
"""
Given:
summary tab delimited file
Render:
- simple SHAPE profile
- shape profile with error bars
- modified, untreated, denatured mutation rate profiles and stderr shading
- depths for each sample FIXME: get log-scaled depths working again
- (above profiles should only be rendered for ... | 0 | 0 | 0 | 429 | 0 | 39,849 | 0 | 66 | 369 |
2ca39baf40570d39fa0671bb1b73b5e970d3dbcf | 960 | py | Python | buildin_modules/configparser_sample/sample.py | Mason-Lin/python_playground | f6d3f194d48c94d43c0e416baa249755f4388bc9 | [
"MIT"
] | null | null | null | buildin_modules/configparser_sample/sample.py | Mason-Lin/python_playground | f6d3f194d48c94d43c0e416baa249755f4388bc9 | [
"MIT"
] | 4 | 2020-09-18T11:49:14.000Z | 2021-07-13T11:20:47.000Z | buildin_modules/configparser_sample/sample.py | Mason-Lin/python_playground | f6d3f194d48c94d43c0e416baa249755f4388bc9 | [
"MIT"
] | null | null | null | from configparser import ConfigParser
from pathlib import Path
cfg = ConfigParser()
cfg.read('myapp.ini')
# same, get int
assert int(cfg['http']['port']) == cfg['http'].getint('port')
# direct get from section
output_filename = Path(cfg['default']['output'], 'my_output.html')
print(output_filename, cfg['http'].get('... | 25.945946 | 66 | 0.725 | from configparser import ConfigParser
from pathlib import Path
cfg = ConfigParser()
cfg.read('myapp.ini')
# same, get int
assert int(cfg['http']['port']) == cfg['http'].getint('port')
# direct get from section
output_filename = Path(cfg['default']['output'], 'my_output.html')
print(output_filename, cfg['http'].get('... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4af91851070ff045fea934d3097a001cf8f487d4 | 3,467 | py | Python | vmraid/website/doctype/web_template/test_web_template.py | sowrisurya/vmraid | f833e00978019dad87af80b41279c0146c063ed5 | [
"MIT"
] | null | null | null | vmraid/website/doctype/web_template/test_web_template.py | sowrisurya/vmraid | f833e00978019dad87af80b41279c0146c063ed5 | [
"MIT"
] | null | null | null | vmraid/website/doctype/web_template/test_web_template.py | sowrisurya/vmraid | f833e00978019dad87af80b41279c0146c063ed5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2020, VMRaid Technologies and Contributors
# See license.txt
from __future__ import unicode_literals
| 29.381356 | 83 | 0.659071 | # -*- coding: utf-8 -*-
# Copyright (c) 2020, VMRaid Technologies and Contributors
# See license.txt
from __future__ import unicode_literals
import vmraid
import unittest
from bs4 import BeautifulSoup
from vmraid.utils import set_request
from vmraid.website.render import render
class TestWebTemplate(unittest.TestCas... | 0 | 0 | 0 | 3,163 | 0 | 0 | 0 | 28 | 134 |
5f602141ab4446bc88d0e36303eda450da359688 | 272 | py | Python | easy/47_set_dis_rem_pop.py | UltiRequiem/hacker-rank-python | bcc6a467dd2a1f90cf61c1d6b049f566f5ffabe1 | [
"MIT"
] | 4 | 2021-08-02T21:34:38.000Z | 2021-09-24T03:26:33.000Z | easy/47_set_dis_rem_pop.py | UltiRequiem/hacker-rank-python | bcc6a467dd2a1f90cf61c1d6b049f566f5ffabe1 | [
"MIT"
] | null | null | null | easy/47_set_dis_rem_pop.py | UltiRequiem/hacker-rank-python | bcc6a467dd2a1f90cf61c1d6b049f566f5ffabe1 | [
"MIT"
] | 3 | 2021-08-02T21:34:39.000Z | 2021-08-02T21:37:16.000Z |
if __name__ == "__main__":
print(main(int(input())))
| 17 | 46 | 0.522059 | def main(n: int) -> int:
s = set(map(int, input().split()))
for _ in range(int(input())):
c, *args = map(str, input().split())
getattr(s, c)(*(int(x) for x in args))
return sum(s)
if __name__ == "__main__":
print(main(int(input())))
| 0 | 0 | 0 | 0 | 0 | 191 | 0 | 0 | 22 |