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acfdae6d28062786239d941a733a2e4bf3fe0e36 | 3,101 | py | Python | src/tests/t_renew.py | Bhanuprakash-ch/kerberos | bb3c878d5034210c656a97562065612611c5a6d2 | [
"Apache-2.0"
] | 2 | 2018-01-09T18:23:08.000Z | 2018-07-24T23:14:15.000Z | src/tests/t_renew.py | Bhanuprakash-ch/kerberos | bb3c878d5034210c656a97562065612611c5a6d2 | [
"Apache-2.0"
] | null | null | null | src/tests/t_renew.py | Bhanuprakash-ch/kerberos | bb3c878d5034210c656a97562065612611c5a6d2 | [
"Apache-2.0"
] | 3 | 2017-03-21T18:34:02.000Z | 2020-01-22T19:11:53.000Z | #!/usr/bin/python
from k5test import *
conf = {'realms': {'$realm': {'max_life': '20h', 'max_renewable_life': '20h'}}}
realm = K5Realm(create_host=False, get_creds=False, kdc_conf=conf)
def test(testname, life, rlife, expect_renewable, env=None):
global realm
flags = ['-l', life]
if rlife is not None:
... | 41.346667 | 79 | 0.716221 |
acfdaf805993832142d78251f2fc2ce01b6da5df | 1,677 | py | Python | algorithms/ror13_add_sub1.py | everybody-lies/hashdb | 5539a3b3db48a9c36ec2d1c460b0057c5e13ce3f | [
"Apache-2.0"
] | 95 | 2021-09-17T02:55:07.000Z | 2022-03-29T10:54:40.000Z | algorithms/ror13_add_sub1.py | everybody-lies/hashdb | 5539a3b3db48a9c36ec2d1c460b0057c5e13ce3f | [
"Apache-2.0"
] | 7 | 2021-10-13T20:18:21.000Z | 2022-03-09T23:33:42.000Z | algorithms/ror13_add_sub1.py | everybody-lies/hashdb | 5539a3b3db48a9c36ec2d1c460b0057c5e13ce3f | [
"Apache-2.0"
] | 11 | 2021-09-25T00:07:41.000Z | 2022-03-22T17:26:37.000Z | #!/usr/bin/env python
########################################################################
# Copyright 2012 Mandiant
# Copyright 2014 FireEye
#
# Mandiant licenses this file to you under the Apache License, Version
# 2.0 (the "License"); you may not use this file except in compliance with the
# License. You may obt... | 31.055556 | 87 | 0.628503 |
acfdafa7fb16ec5f5fe30f62b2a44efc8d7a8605 | 265 | py | Python | ELAB03/03-03.py | tawanchaiii/01204111_63 | edf1174f287f5174d93729d9b5c940c74d3b6553 | [
"WTFPL"
] | null | null | null | ELAB03/03-03.py | tawanchaiii/01204111_63 | edf1174f287f5174d93729d9b5c940c74d3b6553 | [
"WTFPL"
] | null | null | null | ELAB03/03-03.py | tawanchaiii/01204111_63 | edf1174f287f5174d93729d9b5c940c74d3b6553 | [
"WTFPL"
] | null | null | null | prime = list()
for i in range(0,10000000):
prime.append(True)
for i in range(2,1000):
for j in range(2,1000):
prime[i*j] = False
n = int(input("N: "))
while True:
if(prime[n]and prime[n+2] ):
print(f"({n}, {n+2})")
break
n=n+1
| 16.5625 | 31 | 0.535849 |
acfdb0cf2b3947bda82b7f5ee751eb3022dc939d | 22,544 | py | Python | pgmpy/models/DynamicBayesianNetwork.py | NunoEdgarGFlowHub/pgmpy | ac0ecc8f5bdd14999c386c6b00a3ce77407b83ce | [
"MIT"
] | 1 | 2016-08-27T18:30:57.000Z | 2016-08-27T18:30:57.000Z | pgmpy/models/DynamicBayesianNetwork.py | NunoEdgarGFlowHub/pgmpy | ac0ecc8f5bdd14999c386c6b00a3ce77407b83ce | [
"MIT"
] | null | null | null | pgmpy/models/DynamicBayesianNetwork.py | NunoEdgarGFlowHub/pgmpy | ac0ecc8f5bdd14999c386c6b00a3ce77407b83ce | [
"MIT"
] | 1 | 2016-08-27T18:31:00.000Z | 2016-08-27T18:31:00.000Z | from itertools import combinations
from collections import defaultdict
import numpy as np
import networkx as nx
from pgmpy.factors import TabularCPD
from pgmpy.base import DirectedGraph, UndirectedGraph
class DynamicBayesianNetwork(DirectedGraph):
def __init__(self, ebunch=None):
"""
Base class ... | 41.365138 | 117 | 0.490596 |
acfdb1416a982403235c499bafe29755d8a82462 | 1,246 | py | Python | Content/Middleware/Oracle Weblogic/WorkloadManager/src/weblogic/utils.py | saikirangurijal/cloudcentersuite | 5fd1907fdd1c32a8a575e2671b6a9ed9f68f2875 | [
"Apache-2.0"
] | 8 | 2018-12-19T00:37:59.000Z | 2020-07-16T15:05:40.000Z | Content/Middleware/Oracle Weblogic/WorkloadManager/src/weblogic/utils.py | saikirangurijal/cloudcentersuite | 5fd1907fdd1c32a8a575e2671b6a9ed9f68f2875 | [
"Apache-2.0"
] | 2 | 2019-03-26T17:53:20.000Z | 2019-11-26T15:26:00.000Z | Content/Middleware/Oracle Weblogic/WorkloadManager/src/weblogic/utils.py | saikirangurijal/cloudcentersuite | 5fd1907fdd1c32a8a575e2671b6a9ed9f68f2875 | [
"Apache-2.0"
] | 9 | 2019-01-09T06:55:48.000Z | 2019-11-27T17:55:03.000Z | import sys
import os
from os.path import exists
# Get File Path
def get_script_path():
return os.path.dirname(os.path.realpath(sys.argv[0]))
# Parse Properties File
def parse_file(path):
_dict = {}
if exists(path):
try:
fo = open(path, 'r+')
lines = fo.readlines()
... | 25.428571 | 86 | 0.517657 |
acfdb14ffb6b454a1b81998d2394c692295aab8c | 16,531 | py | Python | pysnmp-with-texts/IPX-RIP-PRIVATE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/IPX-RIP-PRIVATE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/IPX-RIP-PRIVATE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module IPX-RIP-PRIVATE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/IPX-RIP-PRIVATE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:57:00 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... | 141.290598 | 1,742 | 0.788156 |
acfdb167142d4b60b476801c5c824005c83c40c9 | 7,093 | py | Python | classifier.py | guybartal/Binha | ca08d4d19f83b03dd2ba005a80967631c76cbb29 | [
"MIT"
] | null | null | null | classifier.py | guybartal/Binha | ca08d4d19f83b03dd2ba005a80967631c76cbb29 | [
"MIT"
] | null | null | null | classifier.py | guybartal/Binha | ca08d4d19f83b03dd2ba005a80967631c76cbb29 | [
"MIT"
] | null | null | null | # -------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# -------------------------------------------------------------
"""
Skeleton code showing how to load and run the TensorFlow SavedModel export package from Lobe.
"""
import argparse
fr... | 41.479532 | 136 | 0.610743 |
acfdb18bfe00e2a5f8635bee4d3f21064a4edb59 | 7,801 | py | Python | .history/src/data/data_20191028100503.py | bkraft4257/kaggle_titanic | f29ea1773773109a867278c001dbd21a9f7b21dd | [
"MIT"
] | null | null | null | .history/src/data/data_20191028100503.py | bkraft4257/kaggle_titanic | f29ea1773773109a867278c001dbd21a9f7b21dd | [
"MIT"
] | null | null | null | .history/src/data/data_20191028100503.py | bkraft4257/kaggle_titanic | f29ea1773773109a867278c001dbd21a9f7b21dd | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from typing import Union
from pathlib import Path
from nameparser import HumanName
class ExtractData:
"""Extract Titanic data from the Kaggle's train.csv file.
"""
def __init__(self, filename: Union[str, Path], age_bins=None, drop_columns=None):
"""Extract T... | 32.777311 | 116 | 0.590822 |
acfdb30e2376af410b7c02630f9effff66200fbd | 7,380 | py | Python | mmdet/core/anchor/anchor_target.py | LiGangszu/PedestrianDetection-HGPD | 3874e331c8afe4cc20fc49de7ebdbe77db277c98 | [
"Apache-2.0"
] | 9 | 2021-04-02T12:21:38.000Z | 2021-08-19T07:55:19.000Z | mmdet/core/anchor/anchor_target.py | LiGangszu/PedestrianDetection-HGPD | 3874e331c8afe4cc20fc49de7ebdbe77db277c98 | [
"Apache-2.0"
] | 1 | 2021-05-02T18:34:06.000Z | 2021-05-12T04:04:57.000Z | mmdet/core/anchor/anchor_target.py | LiGangszu/PedestrianDetection-HGPD | 3874e331c8afe4cc20fc49de7ebdbe77db277c98 | [
"Apache-2.0"
] | 2 | 2021-04-28T09:27:45.000Z | 2021-06-07T12:02:01.000Z | import torch
from ..bbox import PseudoSampler, assign_and_sample, bbox2delta, build_assigner
from ..utils import multi_apply
import pdb
def anchor_target(anchor_list,
valid_flag_list,
gt_bboxes_list,
img_metas,
target_means,
ta... | 38.842105 | 79 | 0.616802 |
acfdb4510a793803e1496df55b890ddca807bd7a | 9,848 | py | Python | sdk/python/pulumi_azure/databasemigration/project.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/databasemigration/project.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/databasemigration/project.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 51.831579 | 223 | 0.67171 |
acfdb46da4f5f788ad6a1a8749bd7ea3878b09d0 | 1,085 | py | Python | pyburstlib/wallet_api/utils.py | beatsbears/pyburstlib | 27722f7f3bb0bc5739110f6c99435d13fa54a1e0 | [
"MIT"
] | 7 | 2018-03-24T17:26:27.000Z | 2020-06-09T10:38:44.000Z | pyburstlib/wallet_api/utils.py | MrPilotMan/pyburstlib | 27722f7f3bb0bc5739110f6c99435d13fa54a1e0 | [
"MIT"
] | 2 | 2019-09-09T17:06:43.000Z | 2021-06-01T21:20:08.000Z | pyburstlib/wallet_api/utils.py | MrPilotMan/pyburstlib | 27722f7f3bb0bc5739110f6c99435d13fa54a1e0 | [
"MIT"
] | 4 | 2018-04-10T12:50:55.000Z | 2022-03-14T20:30:01.000Z | '''
pyburstlib
:author: drownedcoast
:date: 4-26-2018
'''
from json import loads
from pyburstlib.wallet_api.base import BaseApi
from pyburstlib.wallet_api.models.utils import *
from pyburstlib.constants import BASE_WALLET_PATH
class UtilsApi(BaseApi):
def rs_convert(self, account_id=None):
'''
Co... | 31 | 72 | 0.584332 |
acfdb54b25040463e71a95ddffabb3fa61d75efb | 158 | py | Python | src/keyboard/views.py | myth/overflow | 269f950b6584b327832deb9f9309c2eea527612b | [
"MIT"
] | 4 | 2018-08-21T05:33:40.000Z | 2019-05-06T09:03:06.000Z | src/keyboard/views.py | myth/overflow | 269f950b6584b327832deb9f9309c2eea527612b | [
"MIT"
] | 1 | 2020-08-09T10:33:58.000Z | 2020-08-09T10:33:58.000Z | src/keyboard/views.py | myth/overflow | 269f950b6584b327832deb9f9309c2eea527612b | [
"MIT"
] | 1 | 2019-05-06T13:33:06.000Z | 2019-05-06T13:33:06.000Z | """
Keyboard views
"""
from django.views.generic.base import TemplateView
class KeyboardIndexView(TemplateView):
template_name = 'keyboard/index.html'
| 15.8 | 50 | 0.765823 |
acfdb5555d92d85b2ccec052f6f0ba7fae7ec838 | 9,320 | py | Python | diofant/integrals/rationaltools.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | null | null | null | diofant/integrals/rationaltools.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | null | null | null | diofant/integrals/rationaltools.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | null | null | null | """This module implements tools for integrating rational functions."""
from ..core import Dummy, I, Integer, Lambda, Symbol, symbols, sympify
from ..domains import ZZ
from ..functions import atan, log
from ..polys import Poly, RootSum, cancel, resultant, roots
from ..simplify import collect
from ..solvers import solve... | 25.326087 | 95 | 0.492167 |
acfdb5d85535e8be75c8c63268254c423e869ac8 | 124 | py | Python | setup.py | krasm/python-onapsdk | 87cd3017fc542a8afd3be51fbd89934ed87ed3a7 | [
"Apache-2.0"
] | 4 | 2020-06-13T04:51:27.000Z | 2021-01-06T15:00:51.000Z | setup.py | krasm/python-onapsdk | 87cd3017fc542a8afd3be51fbd89934ed87ed3a7 | [
"Apache-2.0"
] | 10 | 2021-09-20T15:42:47.000Z | 2021-09-23T12:49:51.000Z | setup.py | krasm/python-onapsdk | 87cd3017fc542a8afd3be51fbd89934ed87ed3a7 | [
"Apache-2.0"
] | 8 | 2020-08-28T10:56:02.000Z | 2022-02-11T17:06:03.000Z | #!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# -*- coding: utf-8 -*-
from setuptools import setup
setup()
| 15.5 | 37 | 0.685484 |
acfdb5d88d7820ee6112e95eef13369efcbd638b | 59,504 | py | Python | pybandit/optproblems/continuous.py | chunjenpeng/pyBandit | df14bf0cc263d8fa0ad0a539e94327ac35e33d1c | [
"MIT"
] | 1 | 2018-07-12T08:30:44.000Z | 2018-07-12T08:30:44.000Z | pybandit/optproblems/continuous.py | PENGChunJen/pyBandit | df14bf0cc263d8fa0ad0a539e94327ac35e33d1c | [
"MIT"
] | null | null | null | pybandit/optproblems/continuous.py | PENGChunJen/pyBandit | df14bf0cc263d8fa0ad0a539e94327ac35e33d1c | [
"MIT"
] | null | null | null | """
This module contains miscellaneous test problems with continuous/real-valued
search space. The problems are mostly from the early days of research on
optimization.
"""
import math
import random
import itertools
from optproblems.base import TestProblem, BoundConstraintsChecker
from optproblems.base import Individu... | 31.871452 | 108 | 0.596212 |
acfdb60ab0b9bc3d005ce834d055c35ee8134f10 | 6,267 | py | Python | tests/test_masked_dice_loss.py | dyollb/MONAI | 9084c452c48095c82c71d4391b3684006e5a3c56 | [
"Apache-2.0"
] | 2,971 | 2019-10-16T23:53:16.000Z | 2022-03-31T20:58:24.000Z | tests/test_masked_dice_loss.py | dyollb/MONAI | 9084c452c48095c82c71d4391b3684006e5a3c56 | [
"Apache-2.0"
] | 2,851 | 2020-01-10T16:23:44.000Z | 2022-03-31T22:14:53.000Z | tests/test_masked_dice_loss.py | dyollb/MONAI | 9084c452c48095c82c71d4391b3684006e5a3c56 | [
"Apache-2.0"
] | 614 | 2020-01-14T19:18:01.000Z | 2022-03-31T14:06:14.000Z | # Copyright 2020 - 2021 MONAI Consortium
# 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 wri... | 41.78 | 118 | 0.505345 |
acfdb706ff8cf0b5d0922009950ed7e76e33acb1 | 811 | py | Python | ex065.py | isabellahenriques/Python_Estudos | a6e8b829d01a7c9fa34223e096f6389c81f2085c | [
"MIT"
] | null | null | null | ex065.py | isabellahenriques/Python_Estudos | a6e8b829d01a7c9fa34223e096f6389c81f2085c | [
"MIT"
] | null | null | null | ex065.py | isabellahenriques/Python_Estudos | a6e8b829d01a7c9fa34223e096f6389c81f2085c | [
"MIT"
] | null | null | null | '''Crie um programa que leia vários números inteiros pelo teclado.
No final da execução, mostre a média entre todos os valores e
qual foi o maior e o menor valores lidos.
O programa deve perguntar ao usuário se ele quer ou não continuar a digitar valores.'''
resp = "S"
soma = quant = media = maior = menor = 0
while res... | 36.863636 | 87 | 0.636252 |
acfdb70e5a5b6f2e0381705fbba3b362f49ee0b3 | 31,497 | py | Python | swift/container/sync.py | JMD110/swift | 58ddca8fa5ccb99447f7dcc0745cc619449a5513 | [
"Apache-2.0"
] | 1 | 2022-03-07T06:11:06.000Z | 2022-03-07T06:11:06.000Z | swift/container/sync.py | JMD110/swift | 58ddca8fa5ccb99447f7dcc0745cc619449a5513 | [
"Apache-2.0"
] | null | null | null | swift/container/sync.py | JMD110/swift | 58ddca8fa5ccb99447f7dcc0745cc619449a5513 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2010-2012 OpenStack Foundation
#
# 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 agree... | 46.455752 | 79 | 0.546623 |
acfdb97758e08f0566c58cfb1794553570ef0a54 | 3,624 | py | Python | python/test/lib/util_test.py | andreatulimiero/scion | 80446907061356863c03db7ec8b9b3b41944c01e | [
"Apache-2.0"
] | 1 | 2021-05-27T12:40:48.000Z | 2021-05-27T12:40:48.000Z | python/test/lib/util_test.py | andreatulimiero/scion | 80446907061356863c03db7ec8b9b3b41944c01e | [
"Apache-2.0"
] | 1 | 2019-06-26T06:38:40.000Z | 2019-06-26T06:38:40.000Z | python/test/lib/util_test.py | andreatulimiero/scion | 80446907061356863c03db7ec8b9b3b41944c01e | [
"Apache-2.0"
] | 1 | 2020-07-06T02:50:04.000Z | 2020-07-06T02:50:04.000Z | # Copyright 2015 ETH Zurich
#
# 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, sof... | 32.357143 | 79 | 0.675497 |
acfdb97dd009179b73a4e960e2fef7f44691c52d | 2,726 | py | Python | CUB-experiments/utils.py | ashleylqx/AIB | 77e418cac52f0ca5f2a7c54927468a7bd75a8fc9 | [
"MIT"
] | 5 | 2021-05-23T13:05:45.000Z | 2022-02-13T21:40:59.000Z | CUB-experiments/utils.py | ashleylqx/AIB | 77e418cac52f0ca5f2a7c54927468a7bd75a8fc9 | [
"MIT"
] | null | null | null | CUB-experiments/utils.py | ashleylqx/AIB | 77e418cac52f0ca5f2a7c54927468a7bd75a8fc9 | [
"MIT"
] | 3 | 2021-08-11T03:23:31.000Z | 2021-11-17T01:48:52.000Z | import torch
from torch import nn
from torch.autograd import Variable
import cv2
import numpy as np
from config import *
def str2bool(v):
"""
codes from : https://stackoverflow.com/questions/15008758/parsing-boolean-values-with-argparse
"""
if v.lower() in ('yes', 'true', 't', 'y', '1'):
ret... | 32.070588 | 128 | 0.66361 |
acfdb9a748b2454779e4007a096bb260a412477c | 3,292 | py | Python | mysite/mysite/settings.py | tailongnguyen/cryptopokemon | 801e977d50cf2d18dfb592f6ece91ee6f7eec83e | [
"MIT"
] | 4 | 2018-04-20T08:17:16.000Z | 2019-01-02T04:54:36.000Z | mysite/mysite/settings.py | tailongnguyen/ethereum-auction-blockchain | 801e977d50cf2d18dfb592f6ece91ee6f7eec83e | [
"MIT"
] | null | null | null | mysite/mysite/settings.py | tailongnguyen/ethereum-auction-blockchain | 801e977d50cf2d18dfb592f6ece91ee6f7eec83e | [
"MIT"
] | null | null | null | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.0.3.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
# ... | 26.336 | 91 | 0.69593 |
acfdb9bc2b1fc3469e6aa6bacca40d92bae5f15e | 1,809 | py | Python | tests/quick/se/01.hello-2T-smt/test.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 135 | 2016-10-21T03:31:49.000Z | 2022-03-25T01:22:20.000Z | tests/quick/se/01.hello-2T-smt/test.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 35 | 2017-03-10T17:57:46.000Z | 2022-02-18T17:34:16.000Z | tests/quick/se/01.hello-2T-smt/test.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 48 | 2016-12-08T12:03:13.000Z | 2022-02-16T09:16:13.000Z | # Copyright (c) 2006 The Regents of The University of Michigan
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list ... | 53.205882 | 75 | 0.772803 |
acfdba0f37d364daafb1a6ac1fcac3894390409e | 305 | py | Python | parameter.py | cihan53/CRNN-Keras | 7a7c099ab530f009f1bdbf6a844f24750ef2c7ab | [
"MIT"
] | null | null | null | parameter.py | cihan53/CRNN-Keras | 7a7c099ab530f009f1bdbf6a844f24750ef2c7ab | [
"MIT"
] | null | null | null | parameter.py | cihan53/CRNN-Keras | 7a7c099ab530f009f1bdbf6a844f24750ef2c7ab | [
"MIT"
] | null | null | null | CHAR_VECTOR = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 "
letters = [letter for letter in CHAR_VECTOR]
num_classes = len(letters) + 1
# img_w, img_h = 128, 64
img_w, img_h = 320, 320
# Network parameters
batch_size = 30
val_batch_size = 16
downsample_factor = 4
max_text_len = 8 | 20.333333 | 79 | 0.777049 |
acfdbaea720a47a8546224ba089f4a6f9843712d | 798 | py | Python | tests/accounts/test_admin.py | pennlabs/platform-dev | 062fa8b23f78f51b8ec5201507ca35dbc5a1f567 | [
"MIT"
] | 1 | 2020-02-20T09:06:43.000Z | 2020-02-20T09:06:43.000Z | tests/accounts/test_admin.py | pennlabs/platform-dev | 062fa8b23f78f51b8ec5201507ca35dbc5a1f567 | [
"MIT"
] | 11 | 2020-03-08T22:20:21.000Z | 2021-09-22T18:39:57.000Z | tests/accounts/test_admin.py | pennlabs/platform-dev | 062fa8b23f78f51b8ec5201507ca35dbc5a1f567 | [
"MIT"
] | null | null | null | from django.contrib.admin.sites import AdminSite
from django.test import TestCase
from accounts.admin import StudentAdmin
from accounts.models import Student, User
class StudentAdminTestCase(TestCase):
def setUp(self):
self.user = User.objects.create(
pennid=1, username="user", first_name="Fi... | 33.25 | 80 | 0.715539 |
acfdbb6511ee133d0a582d458e133dd49c74a54f | 4,161 | py | Python | src/ansiblelint/config.py | JensHeinrich/ansible-lint | 532918d5b0d285ba0c47eb4f14be940b5d465d5a | [
"MIT"
] | null | null | null | src/ansiblelint/config.py | JensHeinrich/ansible-lint | 532918d5b0d285ba0c47eb4f14be940b5d465d5a | [
"MIT"
] | null | null | null | src/ansiblelint/config.py | JensHeinrich/ansible-lint | 532918d5b0d285ba0c47eb4f14be940b5d465d5a | [
"MIT"
] | null | null | null | """Store configuration options as a singleton."""
import os
import re
import subprocess
import sys
from argparse import Namespace
from functools import lru_cache
from typing import Dict, List, Optional, Tuple
from packaging.version import Version
from ansiblelint.constants import ANSIBLE_MISSING_RC
DEFAULT_KINDS = [... | 32.507813 | 77 | 0.628455 |
acfdbc634d297fb5b32a92bc4c637a70004787ea | 15,948 | py | Python | peeringdb_server/signals.py | tbaschak/peeringdb | 20d89d53d8e1d807383fa84d74601e37ba4dc9d4 | [
"BSD-2-Clause"
] | null | null | null | peeringdb_server/signals.py | tbaschak/peeringdb | 20d89d53d8e1d807383fa84d74601e37ba4dc9d4 | [
"BSD-2-Clause"
] | null | null | null | peeringdb_server/signals.py | tbaschak/peeringdb | 20d89d53d8e1d807383fa84d74601e37ba4dc9d4 | [
"BSD-2-Clause"
] | null | null | null | import django.urls
from django.db.models.signals import post_save, pre_delete, pre_save
from django.contrib.contenttypes.models import ContentType
from django_namespace_perms.models import Group, GroupPermission
from django_namespace_perms.constants import PERM_CRUD, PERM_READ
from django.template import loader
from dj... | 34.820961 | 151 | 0.547091 |
acfdbcad0559d0fbe5f9354b117acf2da879ad80 | 9,048 | py | Python | pylxd/deprecated/image.py | AdamIsrael/pylxd | d5d47a4d1185b4956e997d70e09d649ea73ba26b | [
"Apache-2.0"
] | null | null | null | pylxd/deprecated/image.py | AdamIsrael/pylxd | d5d47a4d1185b4956e997d70e09d649ea73ba26b | [
"Apache-2.0"
] | 1 | 2018-04-21T16:31:29.000Z | 2018-04-21T16:31:29.000Z | pylxd/deprecated/image.py | AdamIsrael/pylxd | d5d47a4d1185b4956e997d70e09d649ea73ba26b | [
"Apache-2.0"
] | 1 | 2021-08-16T15:00:35.000Z | 2021-08-16T15:00:35.000Z | # Copyright (c) 2015 Canonical Ltd
#
# 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 ... | 36.930612 | 79 | 0.492374 |
acfdbd0312f9465259c1dc8c90cde08657a080a4 | 1,124 | py | Python | lib/revitronui/charts.py | revitron/revitron-ui | 167af8a2e843b83963b2bcd8cd1d009efffb83ce | [
"MIT"
] | 6 | 2020-05-17T09:14:28.000Z | 2022-02-18T04:01:45.000Z | lib/revitronui/charts.py | revitron/revitron-ui | 167af8a2e843b83963b2bcd8cd1d009efffb83ce | [
"MIT"
] | 3 | 2020-10-09T23:24:12.000Z | 2020-11-16T12:30:17.000Z | lib/revitronui/charts.py | revitron/revitron-ui | 167af8a2e843b83963b2bcd8cd1d009efffb83ce | [
"MIT"
] | 4 | 2020-10-08T16:30:03.000Z | 2021-12-17T10:29:37.000Z | from pyrevit import script
class LineChart:
def __init__(self, data, labels, title=None):
import revitronui
self.output = script.get_output()
self.chart = self.make()
self.chart.data.labels = labels
dataset = self.chart.data.new_dataset(title)
dataset.data = data
if self.hasBackground:
palette = re... | 18.733333 | 46 | 0.69306 |
acfdbe5fc41809c08c87adaec96c9f952ccce275 | 916 | py | Python | Lista2/ex2.py | brunocozendey/Pythonplayground | 41257c5010274f7964b3f72a2d00513ddf8ad3c1 | [
"MIT"
] | null | null | null | Lista2/ex2.py | brunocozendey/Pythonplayground | 41257c5010274f7964b3f72a2d00513ddf8ad3c1 | [
"MIT"
] | null | null | null | Lista2/ex2.py | brunocozendey/Pythonplayground | 41257c5010274f7964b3f72a2d00513ddf8ad3c1 | [
"MIT"
] | null | null | null | # -*- coding: cp1252 -*-
'''
O programa lê uma string (com várias palavras) e verifique se ela é um
palíndromo. Um palíndromo é uma cadeia que pode ser lida de trás para frente ou frente para
trás e possui exatamente o mesmo valor. Exemplo: SUBI NO ONIBUS
Criado por: Bruno Cozendey
Criado em: 17/05/2018
'''
def ler(... | 24.756757 | 91 | 0.631004 |
acfdbf796603aed4f0000b6cfb5d5c3885362694 | 7,260 | py | Python | SynthText_Chinese/gen.py | shijieS/Scene-Text-Understanding | 247df9a664f2c6c2c2e34fc14eddbb175142c53f | [
"OML"
] | 380 | 2017-10-19T01:36:27.000Z | 2022-03-14T07:32:17.000Z | SynthText_Chinese/gen.py | Wanjpeng/Scene-Text-Understanding | 247df9a664f2c6c2c2e34fc14eddbb175142c53f | [
"OML"
] | null | null | null | SynthText_Chinese/gen.py | Wanjpeng/Scene-Text-Understanding | 247df9a664f2c6c2c2e34fc14eddbb175142c53f | [
"OML"
] | 118 | 2017-11-23T02:37:53.000Z | 2021-05-10T05:12:16.000Z | # -*- coding: utf-8 -*-
# Author: Ankush Gupta
# Date: 2015
"""
Entry-point for generating synthetic text images, as described in:
@InProceedings{Gupta16,
author = "Gupta, A. and Vedaldi, A. and Zisserman, A.",
title = "Synthetic Data for Text Localisation in Natural Images",
booktitle ... | 32.410714 | 117 | 0.623278 |
acfdbf7a49ae6861b6d5a893fb3c5286d04c25cc | 5,387 | py | Python | zerver/lib/storage.py | measo3/2018-2-OSS-L5 | 15af7b91489b6cab794c5bd5af5948b3cc059f85 | [
"Apache-2.0"
] | 3 | 2018-12-04T01:44:43.000Z | 2019-05-13T06:16:21.000Z | zerver/lib/storage.py | hcxiong/zulip | bf22eefedebd50b25f32b22988217c13a89b65d1 | [
"Apache-2.0"
] | 58 | 2018-11-27T15:18:54.000Z | 2018-12-09T13:43:07.000Z | zerver/lib/storage.py | hcxiong/zulip | bf22eefedebd50b25f32b22988217c13a89b65d1 | [
"Apache-2.0"
] | 9 | 2019-11-04T18:59:29.000Z | 2022-03-22T17:46:37.000Z | # Useful reading is https://zulip.readthedocs.io/en/latest/subsystems/front-end-build-process.html
import os
import shutil
from typing import Any, Dict, List, Optional, Tuple
from django.conf import settings
from django.contrib.staticfiles.storage import ManifestStaticFilesStorage
from pipeline.storage import Pipelin... | 41.438462 | 135 | 0.62558 |
acfdc0b455ac3dc5f0df27c91724f7cbd9f7f7af | 4,568 | py | Python | mac/google-cloud-sdk/lib/googlecloudsdk/command_lib/app/jarfile.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | mac/google-cloud-sdk/lib/googlecloudsdk/command_lib/app/jarfile.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | 4 | 2020-07-21T12:51:46.000Z | 2022-01-22T10:29:25.000Z | mac/google-cloud-sdk/lib/googlecloudsdk/command_lib/app/jarfile.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | # -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 31.944056 | 80 | 0.714974 |
acfdc0b81705fab3cf8bbbcb0f8973ac12aac435 | 236 | py | Python | invenio_app_ils/internal_locations/loaders/jsonschemas/__init__.py | NRodriguezcuellar/invenio-app-ils | 144a25a6c56330b214c6fd0b832220fa71f2e68a | [
"MIT"
] | 41 | 2018-09-04T13:00:46.000Z | 2022-03-24T20:45:56.000Z | invenio_app_ils/internal_locations/loaders/jsonschemas/__init__.py | NRodriguezcuellar/invenio-app-ils | 144a25a6c56330b214c6fd0b832220fa71f2e68a | [
"MIT"
] | 720 | 2017-03-10T08:02:41.000Z | 2022-01-14T15:36:37.000Z | invenio_app_ils/internal_locations/loaders/jsonschemas/__init__.py | NRodriguezcuellar/invenio-app-ils | 144a25a6c56330b214c6fd0b832220fa71f2e68a | [
"MIT"
] | 54 | 2017-03-09T16:05:29.000Z | 2022-03-17T08:34:51.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# invenio-app-ils is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""ILS eitems JSON loader."""
| 26.222222 | 76 | 0.690678 |
acfdc0d7ee563b69f16d7aee54951bda28288608 | 8,060 | py | Python | coderedcms/settings.py | fakegit/coderedcms | 10dd10635bba9c2dcecede4b8e557b5a6ffd8b23 | [
"BSD-3-Clause"
] | 526 | 2018-07-31T20:14:17.000Z | 2022-03-23T08:08:29.000Z | coderedcms/settings.py | fakegit/coderedcms | 10dd10635bba9c2dcecede4b8e557b5a6ffd8b23 | [
"BSD-3-Clause"
] | 325 | 2018-08-01T13:53:55.000Z | 2022-03-31T15:08:28.000Z | coderedcms/settings.py | fakegit/coderedcms | 10dd10635bba9c2dcecede4b8e557b5a6ffd8b23 | [
"BSD-3-Clause"
] | 153 | 2018-08-02T07:42:40.000Z | 2022-03-24T23:54:59.000Z | import os
from django.conf import settings
from functools import lru_cache
PROJECT_DIR = settings.PROJECT_DIR if getattr(settings, 'PROJECT_DIR') else os.path.dirname(
os.path.dirname(os.path.abspath(__file__))
)
BASE_DIR = settings.BASE_DIR if getattr(settings, 'BASE_DIR') else os.path.dirname(PROJECT_DIR)
DEFA... | 40.913706 | 146 | 0.594169 |
acfdc0d88dd8536aef9dd8eb79765ae65aab0b5a | 2,525 | py | Python | utils/anchor.py | mshmoon/siamrpn-lightweight | f6527e34c9eaaeb45817b12babd78ee73b1c7525 | [
"MIT"
] | 1 | 2020-11-20T09:34:45.000Z | 2020-11-20T09:34:45.000Z | utils/anchor.py | mshmoon/siamrpn-lightweight | f6527e34c9eaaeb45817b12babd78ee73b1c7525 | [
"MIT"
] | null | null | null | utils/anchor.py | mshmoon/siamrpn-lightweight | f6527e34c9eaaeb45817b12babd78ee73b1c7525 | [
"MIT"
] | null | null | null | # Copyright (c) SenseTime. All Rights Reserved.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
import numpy as np
from utils.bbox import corner2center, center2corner
class Anchors:
"""
This cl... | 29.360465 | 74 | 0.547327 |
acfdc107cc7e0ff85668033c21e9c90c857e0849 | 70,942 | py | Python | pytorch_lightning/core/lightning.py | lxww302/pytorch-lightning | 4018237c309b7d9d6978da73132003615341e04a | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/core/lightning.py | lxww302/pytorch-lightning | 4018237c309b7d9d6978da73132003615341e04a | [
"Apache-2.0"
] | 1 | 2020-11-09T21:07:07.000Z | 2020-11-09T21:07:07.000Z | pytorch_lightning/core/lightning.py | zippeurfou/pytorch-lightning | 4018237c309b7d9d6978da73132003615341e04a | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 38.744948 | 119 | 0.578289 |
acfdc263394d91adfc12ad45b583ea0b56c93451 | 2,530 | py | Python | lib/sedna/common/utils.py | lidongen/sedna | fe54975c435e7c5a211f7d5960489d1d7f5a19ff | [
"Apache-2.0"
] | 1 | 2021-06-19T10:19:28.000Z | 2021-06-19T10:19:28.000Z | lib/sedna/common/utils.py | TymonXie/sedna | ee71aedec864146dd245af740a8496c3d57ef758 | [
"Apache-2.0"
] | null | null | null | lib/sedna/common/utils.py | TymonXie/sedna | ee71aedec864146dd245af740a8496c3d57ef758 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The KubeEdge Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 32.435897 | 78 | 0.640711 |
acfdc428154a34ef537c3b24a5a9fac6639ba791 | 408 | py | Python | packages/migrations/0003_auto_20210416_1007.py | dandeduck/package-tracking-web | f7cb3dffd6f7f6b7ced5b1106a049c79c192dfa5 | [
"MIT"
] | 1 | 2021-02-11T22:16:51.000Z | 2021-02-11T22:16:51.000Z | packages/migrations/0003_auto_20210416_1007.py | dandeduck/package-tracking-web | f7cb3dffd6f7f6b7ced5b1106a049c79c192dfa5 | [
"MIT"
] | 54 | 2021-02-11T18:52:11.000Z | 2021-06-13T13:45:01.000Z | packages/migrations/0003_auto_20210416_1007.py | dandeduck/package-tracking-web | f7cb3dffd6f7f6b7ced5b1106a049c79c192dfa5 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.12 on 2021-04-16 10:07
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('packages', '0002_auto_20210321_0949'),
]
operations = [
migrations.AlterField(
model_name='address',
name='street_n... | 21.473684 | 62 | 0.620098 |
acfdc44d2168dcc389d35cb26ec15afdfaf9f370 | 10,050 | py | Python | ensemble/control/tactical/gapcordinator.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | ensemble/control/tactical/gapcordinator.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | ensemble/control/tactical/gapcordinator.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | """
**Platoon Gap Coordinator**
This module details the implementation of the ``Front Gap`` and ``Rear Gap`` Coordinators existing in each one of the vehicles created when running a platoon. The coordinators have access to a centralized information center called ``Data Query`` to retrieve information in the ve... | 36.948529 | 305 | 0.553433 |
acfdc587e4eddd2a0926bb0d96aeecb97613a28b | 2,538 | py | Python | mypy_boto3_builder/cli_parser.py | pyto86pri/mypy_boto3_builder | e8132dc4632430e0abd4cd330af51a8b1c82028f | [
"MIT"
] | null | null | null | mypy_boto3_builder/cli_parser.py | pyto86pri/mypy_boto3_builder | e8132dc4632430e0abd4cd330af51a8b1c82028f | [
"MIT"
] | null | null | null | mypy_boto3_builder/cli_parser.py | pyto86pri/mypy_boto3_builder | e8132dc4632430e0abd4cd330af51a8b1c82028f | [
"MIT"
] | null | null | null | """
CLI parser.
"""
import argparse
from pathlib import Path
from typing import Sequence
import pkg_resources
from mypy_boto3_builder.service_name import ServiceName, ServiceNameCatalog
def get_absolute_path(path: str) -> Path:
"""
Get absolute path from a string.
Arguments:
path -- String cont... | 25.897959 | 97 | 0.638298 |
acfdc5c507065fb72c0ddd5e8ac1ad81c3dee4d2 | 3,573 | py | Python | get_pet_labels.py | embeaver/Dog-breed-classifier | 954c6394d135e54c91c204669bb23da9383185cf | [
"MIT"
] | null | null | null | get_pet_labels.py | embeaver/Dog-breed-classifier | 954c6394d135e54c91c204669bb23da9383185cf | [
"MIT"
] | null | null | null | get_pet_labels.py | embeaver/Dog-breed-classifier | 954c6394d135e54c91c204669bb23da9383185cf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# */AIPND-revision/intropyproject-classify-pet-images/get_pet_labels.py
#
# PROGRAMMER: Erika Beaver
# DATE CREATED: 3/11/19
# REVISED DATE: 3/31/19
# PURPOSE: Create the fu... | 47.64 | 105 | 0.642317 |
acfdc6b34873698aecc844a26aa9a88950865231 | 2,668 | py | Python | chastewebservice.py | ModellingWebLab/fc-runner | 24daeaf10ad8afc77c2d17606b7076317be94b0e | [
"BSD-3-Clause"
] | null | null | null | chastewebservice.py | ModellingWebLab/fc-runner | 24daeaf10ad8afc77c2d17606b7076317be94b0e | [
"BSD-3-Clause"
] | 6 | 2019-05-24T11:23:38.000Z | 2020-10-06T09:45:41.000Z | chastewebservice.py | ModellingWebLab/fc-runner | 24daeaf10ad8afc77c2d17606b7076317be94b0e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import cgi
import cgitb
import os
import sys
import fcws
temporaryDir = fcws.config['temp_dir']
debugPrefix = fcws.config['debug_log_file_prefix']
cgitb.enable(format='text', context=1, logdir=os.path.join(temporaryDir, debugPrefix + 'cgitb'))
def SendError(msg):
print("Content-Type: te... | 35.573333 | 96 | 0.654798 |
acfdc78df7242d3584becdd2c05b1cc4d5e49461 | 6,087 | py | Python | hw2/test/test.py | idoleat/P-Language-Compiler-CourseProject | 57db735b349a0a3a30d78b927953e2d44b7c7d53 | [
"MIT"
] | 7 | 2020-09-10T16:54:49.000Z | 2022-03-15T12:39:23.000Z | hw2/test/test.py | idoleat/simple-P-compiler | 57db735b349a0a3a30d78b927953e2d44b7c7d53 | [
"MIT"
] | null | null | null | hw2/test/test.py | idoleat/simple-P-compiler | 57db735b349a0a3a30d78b927953e2d44b7c7d53 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import subprocess
import os
import sys
import json
from argparse import ArgumentParser
class Grader:
basic_case_dir = "./basic_cases"
basic_cases = {
1 : "decl",
2 : "expr1",
3 : "expr2",
4 : "expr3",
5: "function1",
6: "function2",
7... | 34.005587 | 129 | 0.555282 |
acfdc78e6e550872e9731dc2b66887569da15f1e | 5,008 | py | Python | examples/stats.py | eduardomelgar/Adafruit_Python_SSD1306 | a435263e26e4a69533347ed4579c60aeac611ef9 | [
"MIT"
] | null | null | null | examples/stats.py | eduardomelgar/Adafruit_Python_SSD1306 | a435263e26e4a69533347ed4579c60aeac611ef9 | [
"MIT"
] | null | null | null | examples/stats.py | eduardomelgar/Adafruit_Python_SSD1306 | a435263e26e4a69533347ed4579c60aeac611ef9 | [
"MIT"
] | null | null | null | # Copyright (c) 2017 Adafruit Industries
# Author: Tony DiCola & James DeVito
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# ... | 37.373134 | 157 | 0.717851 |
acfdc89cc3773cd0b0f371ae4927c4f88b54ba01 | 1,979 | py | Python | source/tools/coco_tools.py | allenai/learning_from_interaction | a266bc16d682832aa854348fa557a30d86b84674 | [
"Apache-2.0"
] | 11 | 2020-10-27T00:05:55.000Z | 2021-08-25T08:42:34.000Z | source/tools/coco_tools.py | allenai/learning_from_interaction | a266bc16d682832aa854348fa557a30d86b84674 | [
"Apache-2.0"
] | 1 | 2021-06-02T01:59:03.000Z | 2021-06-02T01:59:03.000Z | source/tools/coco_tools.py | allenai/learning_from_interaction | a266bc16d682832aa854348fa557a30d86b84674 | [
"Apache-2.0"
] | null | null | null | import os
import json
from datetime import datetime
from pycocotools.mask import area, toBbox
from tools.logger import LOGGER
def save_coco_dataset(dataset_file, output_folder, classes=("light", "medium", "heavy"), force=False):
def get_dicts(jsonfile):
with open(jsonfile, "r") as f:
res = j... | 32.442623 | 102 | 0.557858 |
acfdc92023a5be10d1a32ab474b946b9900dd605 | 5,288 | py | Python | WatchDogs_Visualisation/oldApps/tweet-map/venv2/lib/python3.7/site-packages/dash_html_components/Font.py | tnreddy09/WatchDogs_StockMarketAnalysis | 0c72430da633785fcb14e40d8b007c86081d515d | [
"Apache-2.0"
] | 4 | 2020-02-05T11:26:47.000Z | 2021-05-26T07:48:46.000Z | WatchDogs_Visualisation/oldApps/tweet-map/venv2/lib/python3.7/site-packages/dash_html_components/Font.py | prashanth-thipparthi/WatchDogs_StockMarketAnalysis | 0c72430da633785fcb14e40d8b007c86081d515d | [
"Apache-2.0"
] | null | null | null | WatchDogs_Visualisation/oldApps/tweet-map/venv2/lib/python3.7/site-packages/dash_html_components/Font.py | prashanth-thipparthi/WatchDogs_StockMarketAnalysis | 0c72430da633785fcb14e40d8b007c86081d515d | [
"Apache-2.0"
] | null | null | null | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Font(Component):
"""A Font component.
Keyword arguments:
- children (a list of or a singular dash component, string or number; optional): The children of this component
- id (string; optional): Th... | 63.710843 | 551 | 0.662821 |
acfdca5bf9bbc5cf022a98dd19c8aefa7bcb3551 | 9,982 | py | Python | scripts/convert_bio_model_to_long.py | wonjininfo/lf_tmp | 438e987bbaae20456cfef46969ed97526c5d5369 | [
"Apache-2.0"
] | null | null | null | scripts/convert_bio_model_to_long.py | wonjininfo/lf_tmp | 438e987bbaae20456cfef46969ed97526c5d5369 | [
"Apache-2.0"
] | null | null | null | scripts/convert_bio_model_to_long.py | wonjininfo/lf_tmp | 438e987bbaae20456cfef46969ed97526c5d5369 | [
"Apache-2.0"
] | null | null | null | import logging
import os
import math
from dataclasses import dataclass, field
# from transformers import RobertaForMaskedLM, RobertaTokenizerFast
from transformers import BertForMaskedLM, BertTokenizerFast # BertTokenizerFast
from transformers import AutoTokenizer, AutoModel
from transformers import RobertaForMaskedLM,... | 45.788991 | 215 | 0.734322 |
acfdcaf8422d4a199344bb8b8261b06d8962826f | 184 | py | Python | adaptmesh/mark.py | arturs-berzins/adaptmesh | 8ce257d85b5943d2bca578ca67490e6b85ea8bec | [
"MIT"
] | 11 | 2020-09-01T23:14:52.000Z | 2022-03-01T00:35:14.000Z | adaptmesh/mark.py | arturs-berzins/adaptmesh | 8ce257d85b5943d2bca578ca67490e6b85ea8bec | [
"MIT"
] | 6 | 2021-01-16T20:21:51.000Z | 2022-02-04T14:29:20.000Z | adaptmesh/mark.py | arturs-berzins/adaptmesh | 8ce257d85b5943d2bca578ca67490e6b85ea8bec | [
"MIT"
] | 2 | 2021-01-20T03:16:13.000Z | 2022-02-04T09:30:01.000Z | """Marking the elements to refine."""
from skfem import adaptive_theta as atheta
def adaptive_theta(m, estimators, theta=0.5, **params):
return atheta(estimators, theta=theta)
| 20.444444 | 55 | 0.73913 |
acfdcb46126a7dc8447f4eda5c872c7dbfe59bf7 | 11,275 | py | Python | bridges/bridges.py | acbart/bridges-python | 5a18d2eb68df7cdff996120c0461b238ca599481 | [
"MIT"
] | null | null | null | bridges/bridges.py | acbart/bridges-python | 5a18d2eb68df7cdff996120c0461b238ca599481 | [
"MIT"
] | null | null | null | bridges/bridges.py | acbart/bridges-python | 5a18d2eb68df7cdff996120c0461b238ca599481 | [
"MIT"
] | null | null | null | from bridges.connector import *
from bridges import ColorGrid
import os
import json
##
# @brief The bridges class is the main class that provides interfaces to datasets,
# maintains user and assignment information, and connects to the bridges server.
#
# The bridges class is responsible for initializing t... | 37.583333 | 133 | 0.61286 |
acfdcd7f5f1246f449b868855b01070e71e231ac | 2,854 | py | Python | pinnwand/http.py | erlliam/pinnwand | a1d36f3a4aec85311d75e4648ba1dee23ce89f62 | [
"MIT"
] | null | null | null | pinnwand/http.py | erlliam/pinnwand | a1d36f3a4aec85311d75e4648ba1dee23ce89f62 | [
"MIT"
] | null | null | null | pinnwand/http.py | erlliam/pinnwand | a1d36f3a4aec85311d75e4648ba1dee23ce89f62 | [
"MIT"
] | null | null | null | import logging
import secrets
import zipfile
from typing import Any, List
import tornado.web
from pinnwand import path, configuration, handler
log = logging.getLogger(__name__)
def make_application() -> tornado.web.Application:
pages: List[Any] = [
(r"/", handler.website.Create),
(r"/\+(.*)", ... | 30.361702 | 73 | 0.519622 |
acfdcf48a194a30cf93b3b451a5d5258ed0f42e0 | 7,188 | py | Python | software/mesa/src/mesa/drivers/dri/common/xmlpool/gen_xmlpool.py | dhanna11/OpenGPU | ab2f01253bba311e082dfae695b9e70138de75d4 | [
"Apache-2.0"
] | 7 | 2019-09-04T03:44:26.000Z | 2022-01-06T02:54:24.000Z | software/mesa/src/mesa/drivers/dri/common/xmlpool/gen_xmlpool.py | dhanna11/OpenGPU | ab2f01253bba311e082dfae695b9e70138de75d4 | [
"Apache-2.0"
] | null | null | null | software/mesa/src/mesa/drivers/dri/common/xmlpool/gen_xmlpool.py | dhanna11/OpenGPU | ab2f01253bba311e082dfae695b9e70138de75d4 | [
"Apache-2.0"
] | 3 | 2021-06-11T23:53:38.000Z | 2021-08-31T03:18:34.000Z | #!/usr/bin/python
#
# Usage:
# gen_xmlpool.py /path/to/t_option.h localedir lang lang lang ...
#
# For each given language, this script expects to find a .mo file at
# `{localedir}/{language}/LC_MESSAGES/options.mo`.
#
import sys
import gettext
import re
# Path to t_options.h
template_header_path = sys.argv[1]
... | 35.063415 | 127 | 0.497496 |
acfdd17d85ef6586eb09eca4e20919c90c662639 | 4,937 | py | Python | tests/test_tool.py | petli/brioche | b7cbdfae400facb59188a4954c8c4b1b4d14def9 | [
"MIT"
] | null | null | null | tests/test_tool.py | petli/brioche | b7cbdfae400facb59188a4954c8c4b1b4d14def9 | [
"MIT"
] | null | null | null | tests/test_tool.py | petli/brioche | b7cbdfae400facb59188a4954c8c4b1b4d14def9 | [
"MIT"
] | null | null | null | # Copyright 2020 Peter Liljenberg <peter.liljenberg@gmail.com>
# Open source under the MIT license (see LICENSE)
# pylint: disable=missing-function-docstring missing-module-docstring import-error
import pytest
import pandas as pd
from brioche.tool import main
SEPS = pytest.mark.parametrize('sep', [',', ';'])
@SEPS... | 30.475309 | 83 | 0.572412 |
acfdd1fb3032f05418f05f6f4afc12d68e387730 | 460 | py | Python | examples/basic.py | rtkefreure/redis-py-cluster | f0627c91ce23e8784dbc996078428c9bdbacb20b | [
"MIT"
] | 1,075 | 2015-01-01T17:46:25.000Z | 2022-03-31T17:55:18.000Z | examples/basic.py | rtkefreure/redis-py-cluster | f0627c91ce23e8784dbc996078428c9bdbacb20b | [
"MIT"
] | 397 | 2015-01-04T08:39:03.000Z | 2022-03-22T01:59:18.000Z | examples/basic.py | rtkefreure/redis-py-cluster | f0627c91ce23e8784dbc996078428c9bdbacb20b | [
"MIT"
] | 373 | 2015-01-13T08:44:40.000Z | 2022-03-29T02:18:20.000Z | from rediscluster import RedisCluster
startup_nodes = [{"host": "127.0.0.1", "port": "7000"}]
# Note: decode_responses must be set to True when used with python3
rc = RedisCluster(startup_nodes=startup_nodes, decode_responses=True)
rc.set("foo", "bar")
print(rc.get("foo"))
# Alternate simple mode of pointing to one ... | 25.555556 | 69 | 0.704348 |
acfdd260571d554da07e8da3abf65c3ec4489991 | 585 | py | Python | node/blockchain/tests/factories/block_message/genesis.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 18 | 2021-11-30T04:02:13.000Z | 2022-03-24T12:33:57.000Z | node/blockchain/tests/factories/block_message/genesis.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 1 | 2022-02-04T17:07:38.000Z | 2022-02-04T17:07:38.000Z | node/blockchain/tests/factories/block_message/genesis.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 5 | 2022-01-31T05:28:13.000Z | 2022-03-08T17:25:31.000Z | from node.blockchain.inner_models import GenesisBlockMessage, GenesisSignedChangeRequest
def make_genesis_block_message(
genesis_signed_change_request_message, primary_validator_private_key, primary_validator_node
) -> GenesisBlockMessage:
request = GenesisSignedChangeRequest.create_from_signed_change_request... | 41.785714 | 96 | 0.839316 |
acfdd284a16eaef29c2f82c3526985d6c182263d | 15,838 | py | Python | moldynplot/PDistFigureManager.py | KarlTDebiec/myplotspec_sim | f63ebf446ff6365857c544508931a21eb75e57e7 | [
"BSD-3-Clause"
] | 8 | 2016-07-20T16:26:18.000Z | 2020-05-22T21:58:27.000Z | moldynplot/PDistFigureManager.py | KarlTDebiec/myplotspec_sim | f63ebf446ff6365857c544508931a21eb75e57e7 | [
"BSD-3-Clause"
] | 2 | 2016-07-23T17:17:16.000Z | 2018-02-07T03:34:27.000Z | moldynplot/PDistFigureManager.py | KarlTDebiec/myplotspec_sim | f63ebf446ff6365857c544508931a21eb75e57e7 | [
"BSD-3-Clause"
] | 4 | 2016-07-20T16:26:29.000Z | 2022-03-27T18:28:50.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# moldynplot.PDistFigureManager.py
#
# Copyright (C) 2015-2017 Karl T Debiec
# All rights reserved.
#
# This software may be modified and distributed under the terms of the
# BSD license. See the LICENSE file for details.
"""
Generates probability distribution figures... | 31.931452 | 79 | 0.493307 |
acfdd327c3b518cc786f6d5a07faca68ed892a25 | 4,959 | py | Python | asv_bench/benchmarks/io/json.py | henriqueribeiro/pandas | 996f361f8e6986ea1c65ccb164a4c585e1f4a027 | [
"BSD-3-Clause"
] | 2 | 2019-01-09T07:43:12.000Z | 2020-05-30T05:49:11.000Z | asv_bench/benchmarks/io/json.py | henriqueribeiro/pandas | 996f361f8e6986ea1c65ccb164a4c585e1f4a027 | [
"BSD-3-Clause"
] | 3 | 2018-09-24T22:09:28.000Z | 2018-10-01T21:10:00.000Z | asv_bench/benchmarks/io/json.py | henriqueribeiro/pandas | 996f361f8e6986ea1c65ccb164a4c585e1f4a027 | [
"BSD-3-Clause"
] | 2 | 2019-03-08T19:59:05.000Z | 2020-09-27T03:18:37.000Z | import numpy as np
import pandas.util.testing as tm
from pandas import DataFrame, date_range, timedelta_range, concat, read_json
from ..pandas_vb_common import setup, BaseIO # noqa
class ReadJSON(BaseIO):
goal_time = 0.2
fname = "__test__.json"
params = (['split', 'index', 'records'], ['int', 'datetime... | 38.742188 | 79 | 0.548296 |
acfdd442e787313c226d40b16542b4d15fa17fc8 | 2,107 | py | Python | zhusuan/distributions/possion.py | thuwzy/ZhuSuan-PyTorch | 471e4d401a6edce07312b01b2b76fa2c56b15c0f | [
"MIT"
] | 12 | 2021-08-11T10:28:21.000Z | 2022-03-12T14:20:02.000Z | zhusuan/distributions/possion.py | thuwzy/ZhuSuan-PyTorch | 471e4d401a6edce07312b01b2b76fa2c56b15c0f | [
"MIT"
] | null | null | null | zhusuan/distributions/possion.py | thuwzy/ZhuSuan-PyTorch | 471e4d401a6edce07312b01b2b76fa2c56b15c0f | [
"MIT"
] | 2 | 2021-08-17T12:05:15.000Z | 2022-01-12T09:47:49.000Z | import torch
from zhusuan.distributions import Distribution
class Possion(Distribution):
"""
The class of univariate Possion distribution
See :class:`~zhusuan.distributions.base.Distribution` for details.
:param rate: A 'float' Var. Rate parameter of the Possion distribution.
"""
def __init__(... | 38.309091 | 155 | 0.563835 |
acfdd577d2b484e79f8a017fff259f7160ae51d0 | 8,506 | py | Python | tests/test_cache_control.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 16 | 2021-12-13T01:27:44.000Z | 2022-02-28T02:58:46.000Z | tests/test_cache_control.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 23 | 2022-01-03T15:57:39.000Z | 2022-03-28T22:25:08.000Z | tests/test_cache_control.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 2 | 2022-01-21T17:57:19.000Z | 2022-01-21T18:18:47.000Z | from datetime import datetime, timedelta, timezone
from email.utils import format_datetime
import httpx
import pytest
import httpx_cache
from httpx_cache.cache_control import _PERMANENT_REDIRECT_STATUSES, CacheControl
def test_is_request_cacheable(httpx_request):
controller = httpx_cache.CacheControl()
asse... | 32.841699 | 88 | 0.695862 |
acfdd57f45b01b6333a56207a0eee4bee2921546 | 2,537 | py | Python | simplejson/tests/test_dump.py | koodaa-team/simplejson | e6133d7e333d3ab24d32903b1ae38bd3b6875d55 | [
"MIT"
] | null | null | null | simplejson/tests/test_dump.py | koodaa-team/simplejson | e6133d7e333d3ab24d32903b1ae38bd3b6875d55 | [
"MIT"
] | null | null | null | simplejson/tests/test_dump.py | koodaa-team/simplejson | e6133d7e333d3ab24d32903b1ae38bd3b6875d55 | [
"MIT"
] | null | null | null | from unittest import TestCase
from io import StringIO
import simplejson as json
class TestDump(TestCase):
def test_dump(self):
sio = StringIO()
json.dump({}, sio)
self.assertEqual(sio.getvalue(), '{}')
def test_dumps(self):
self.assertEqual(json.dumps({}), '{}')
def test_... | 37.308824 | 85 | 0.53646 |
acfdd59a973118e4ad652ae789cd28091a097417 | 3,946 | py | Python | Code/MACDonGDXJ.py | BambooFlower/MACD-Strategy | 896226f46dc42bcb7153e34518f8e01164ec644e | [
"MIT"
] | 2 | 2020-01-31T09:52:34.000Z | 2020-12-06T12:24:07.000Z | Code/MACDonGDXJ.py | BambooFlower/MACD-Strategy | 896226f46dc42bcb7153e34518f8e01164ec644e | [
"MIT"
] | null | null | null | Code/MACDonGDXJ.py | BambooFlower/MACD-Strategy | 896226f46dc42bcb7153e34518f8e01164ec644e | [
"MIT"
] | null | null | null | from quantopian.pipeline.data.builtin import USEquityPricing
import statsmodels.api as sm
import quantopian.pipeline.data
import numpy as np
import pandas as pd
import talib
import scipy
def initialize(context):
set_benchmark(symbol('GDXJ'))
context.GDXJ = symbol('GDXJ')
context.allocation =... | 39.46 | 132 | 0.655854 |
acfdd5c1fc31a8ed7d7a6b46076700e07e089487 | 2,558 | py | Python | examples/ttgo_scroll.py | manahter/st7789_mpy | 6a27c17e574fe34c450672f3181ac001f2b40ea1 | [
"MIT"
] | 1 | 2020-12-19T12:30:11.000Z | 2020-12-19T12:30:11.000Z | examples/ttgo_scroll.py | manahter/st7789_mpy | 6a27c17e574fe34c450672f3181ac001f2b40ea1 | [
"MIT"
] | null | null | null | examples/ttgo_scroll.py | manahter/st7789_mpy | 6a27c17e574fe34c450672f3181ac001f2b40ea1 | [
"MIT"
] | 1 | 2020-12-19T12:28:30.000Z | 2020-12-19T12:28:30.000Z | """
ttgo_scroll.py
Smoothly scroll all characters of a font up the LILYGO® TTGO T-Display
screen. Fonts heights must be even multiples of the screen height
(i.e. 8 or 16 pixels high).
https://youtu.be/GQa-RzHLBak
"""
import utime
import random
from machine import Pin, SPI
import st7789
# choose a fon... | 23.46789 | 82 | 0.550821 |
acfdd7e383cce189a692b4ee30fdc243aef55f50 | 1,039 | py | Python | neural_networks/not_perceptron.py | parphane/udacity-self_driving_cars | 069762a5320a109ebe4f7c23997631a2998a0076 | [
"MIT"
] | null | null | null | neural_networks/not_perceptron.py | parphane/udacity-self_driving_cars | 069762a5320a109ebe4f7c23997631a2998a0076 | [
"MIT"
] | null | null | null | neural_networks/not_perceptron.py | parphane/udacity-self_driving_cars | 069762a5320a109ebe4f7c23997631a2998a0076 | [
"MIT"
] | null | null | null | import pandas as pd
# TODO: Set weight1, weight2, and bias
weight1 = 0
weight2 = -1
bias = 0
# DON'T CHANGE ANYTHING BELOW
# Inputs and outputs
test_inputs = [(0, 0), (0, 1), (1, 0), (1, 1)]
correct_outputs = [True, False, True, False]
outputs = []
# Generate and check output
for test_input, correct_output in zip(t... | 35.827586 | 133 | 0.699711 |
acfdd81f33edbb425fa645fbce05b51283b0c66d | 800 | py | Python | day02/main.py | kentquirk/aoc2020 | 9223bd7ac9d1b1c26a65b809206105177e2bda22 | [
"Unlicense"
] | null | null | null | day02/main.py | kentquirk/aoc2020 | 9223bd7ac9d1b1c26a65b809206105177e2bda22 | [
"Unlicense"
] | null | null | null | day02/main.py | kentquirk/aoc2020 | 9223bd7ac9d1b1c26a65b809206105177e2bda22 | [
"Unlicense"
] | null | null | null | #! /usr/bin/env python3
import re
import itertools
def validateA(d):
n = d["password"].count(d["ch"])
return n >= int(d["ix1"]) and n <= int(d["ix2"])
def validateB(d):
ix1 = int(d["ix1"]) - 1
ix2 = int(d["ix2"]) - 1
at1 = ix1 < len(d["password"]) and d["password"][ix1 : ix1 + 1] == d["ch"]
... | 27.586207 | 78 | 0.53625 |
acfdd83330f479f6ac5fdde4386e74c7b3116e12 | 3,444 | py | Python | qualifier/qualifier.py | Tobi-De/cj8-qualifier | 7454ff5e8f1d1365cd232219677299935653c8c2 | [
"MIT"
] | null | null | null | qualifier/qualifier.py | Tobi-De/cj8-qualifier | 7454ff5e8f1d1365cd232219677299935653c8c2 | [
"MIT"
] | null | null | null | qualifier/qualifier.py | Tobi-De/cj8-qualifier | 7454ff5e8f1d1365cd232219677299935653c8c2 | [
"MIT"
] | null | null | null | from typing import Any, List, Optional
SPACE_AROUND = 2
def space_content(value: Any, max_space_to_fill: int, centered: bool):
if centered:
return str(value).center(max_space_to_fill + SPACE_AROUND)
else:
return f" {str(value).ljust(max_space_to_fill)}" + " "
def build_content(row: List[Any... | 35.505155 | 108 | 0.639954 |
acfdd86070c4a71e8f5b20b172587c71f8e5ce37 | 904 | py | Python | digsby/src/tests/testgui/uberdemos/UberProgressBarDemo.py | ifwe/digsby | f5fe00244744aa131e07f09348d10563f3d8fa99 | [
"Python-2.0"
] | 35 | 2015-08-15T14:32:38.000Z | 2021-12-09T16:21:26.000Z | digsby/src/tests/testgui/uberdemos/UberProgressBarDemo.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 4 | 2015-09-12T10:42:57.000Z | 2017-02-27T04:05:51.000Z | digsby/src/tests/testgui/uberdemos/UberProgressBarDemo.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 15 | 2015-07-10T23:58:07.000Z | 2022-01-23T22:16:33.000Z | import wx
from gui.uberwidgets.UberProgressBar import UberProgressBar
from gui import skin as skincore
class F(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None, wx.NewId(), "Progress Bar sampler",(0,0),(600,250))
self.Bind(wx.EVT_SLIDER, self.on_slide)
self.content = wx.BoxSiz... | 27.393939 | 96 | 0.639381 |
acfdd906a42cf7a8e42d1f120c339a30de881969 | 21,896 | py | Python | pyNastran/bdf/cards/base_card.py | Gypaets/pyNastran | 33372e4b4b2a2b9cd93824235eaf884772e67269 | [
"BSD-3-Clause"
] | null | null | null | pyNastran/bdf/cards/base_card.py | Gypaets/pyNastran | 33372e4b4b2a2b9cd93824235eaf884772e67269 | [
"BSD-3-Clause"
] | null | null | null | pyNastran/bdf/cards/base_card.py | Gypaets/pyNastran | 33372e4b4b2a2b9cd93824235eaf884772e67269 | [
"BSD-3-Clause"
] | null | null | null | """
defines:
- BaseCard()
- Element()
- Property()
- Material()
- word, num = break_word_by_trailing_integer(pname_fid)
- word, num = break_word_by_trailing_parentheses_integer_ab(pname_fid)
"""
from __future__ import annotations
from abc import abstractmethod, abstractproperty, abstractclassmethod
from typing im... | 31.505036 | 103 | 0.567684 |
acfdd9164174236132befbbd93e7ad5207f2e3e8 | 568 | py | Python | src/entities/__init__.py | michaeltcoelho/python-ebi | 45f83328faad4345e937b8518ee1dd771fdde1a8 | [
"MIT"
] | 3 | 2018-04-03T17:07:18.000Z | 2022-02-13T06:28:53.000Z | src/entities/__init__.py | michaeltcoelho/python-ebi | 45f83328faad4345e937b8518ee1dd771fdde1a8 | [
"MIT"
] | null | null | null | src/entities/__init__.py | michaeltcoelho/python-ebi | 45f83328faad4345e937b8518ee1dd771fdde1a8 | [
"MIT"
] | null | null | null | import abc
class UnitOfWork(abc.ABC):
@abc.abstractmethod
def commit(self):
pass
@abc.abstractmethod
def rollback(self):
pass
@property
@abc.abstractmethod
def repositories(self):
pass
class Repository(abc.ABC):
def __init__(self, session):
self.se... | 16.228571 | 55 | 0.647887 |
acfdd9952397a98feebf674e7962439fbf029b34 | 342 | py | Python | ote/ote/modules/trainers/__init__.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 256 | 2020-09-09T03:27:57.000Z | 2022-03-30T10:06:06.000Z | ote/ote/modules/trainers/__init__.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 604 | 2020-09-08T12:29:49.000Z | 2022-03-31T21:51:08.000Z | ote/ote/modules/trainers/__init__.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 160 | 2020-09-09T14:06:07.000Z | 2022-03-30T14:50:48.000Z | from .base import BaseTrainer
from .instance_segmentation import InstanceSegmentationTrainer
from .mmaction import MMActionTrainer
from .mmdetection import MMDetectionTrainer
from .reid import ReidTrainer
__all__ = [
'BaseTrainer',
'MMActionTrainer',
'MMDetectionTrainer',
'InstanceSegmentationTrainer',... | 24.428571 | 62 | 0.78655 |
acfdd9a4b97f88264c249c8239f3f61ca180b507 | 274 | py | Python | texaslan/users/apps.py | hsmeans/texaslan.org | a981e7835381e77320e39536a619981ba9d03451 | [
"MIT"
] | 2 | 2018-02-06T06:24:03.000Z | 2018-03-20T03:32:13.000Z | texaslan/users/apps.py | hsmeans/texaslan.org | a981e7835381e77320e39536a619981ba9d03451 | [
"MIT"
] | 32 | 2017-02-21T20:01:43.000Z | 2020-02-08T21:52:16.000Z | texaslan/users/apps.py | hsmeans/texaslan.org | a981e7835381e77320e39536a619981ba9d03451 | [
"MIT"
] | 6 | 2017-03-21T21:16:40.000Z | 2020-02-08T20:46:20.000Z | from django.apps import AppConfig
class UsersConfig(AppConfig):
name = 'texaslan.users'
verbose_name = "Users"
def ready(self):
"""Override this to put in:
Users system checks
Users signal registration
"""
pass
| 19.571429 | 37 | 0.594891 |
acfddbccfd1c02ef6e7ba605df7d6d49b28ae8ea | 832 | py | Python | ScikitLearn/NN.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | 11 | 2018-03-18T11:06:59.000Z | 2020-02-23T03:24:43.000Z | ScikitLearn/NN.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | null | null | null | ScikitLearn/NN.py | AutuanLiu/Machine-Learning-on-docker | 00eb7211a3a40a9da02114923647dfd6ac24f138 | [
"Apache-2.0"
] | 4 | 2018-03-28T13:04:26.000Z | 2019-05-29T05:49:52.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name：NN
Description : 最近邻
Email : autuanliu@163.com
Date：2017/12/22
"""
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import NearestNeighbors, KDTree
# 无监督
# 找到两组数据集中最近邻点的... | 23.771429 | 68 | 0.644231 |
acfddc5adf1f7fc37a1299e0a17435846f69ce37 | 5,071 | py | Python | django_backend/wallet/views.py | emilioivan12/Bank-Online-Django-React | f25cabbebd47baa55cc1ebb135c49b766aa3303a | [
"MIT"
] | 1 | 2021-04-20T04:21:10.000Z | 2021-04-20T04:21:10.000Z | django_backend/wallet/views.py | emilioivan12/Bank-Online-Django-React | f25cabbebd47baa55cc1ebb135c49b766aa3303a | [
"MIT"
] | null | null | null | django_backend/wallet/views.py | emilioivan12/Bank-Online-Django-React | f25cabbebd47baa55cc1ebb135c49b766aa3303a | [
"MIT"
] | null | null | null | from rest_framework import generics
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from .models import Wallet, Currency, Transaction
from .serializers import WalletSerializer, CurrencySerializer, TransactionSerializer
from django.http import JsonR... | 44.095652 | 148 | 0.714849 |
acfddc60a2bb47c9ebd1baaa95846782b2431bf4 | 75,949 | py | Python | great_expectations/dataset/sqlalchemy_dataset.py | jstammers/great_expectations | e4270cfd38c101e7b811e1ea60aa73f8e934fd48 | [
"Apache-2.0"
] | null | null | null | great_expectations/dataset/sqlalchemy_dataset.py | jstammers/great_expectations | e4270cfd38c101e7b811e1ea60aa73f8e934fd48 | [
"Apache-2.0"
] | null | null | null | great_expectations/dataset/sqlalchemy_dataset.py | jstammers/great_expectations | e4270cfd38c101e7b811e1ea60aa73f8e934fd48 | [
"Apache-2.0"
] | null | null | null | import inspect
import logging
import traceback
import uuid
import warnings
from datetime import datetime
from functools import wraps
from typing import Dict, Iterable, List
import numpy as np
import pandas as pd
from dateutil.parser import parse
from great_expectations.data_asset import DataAsset
from great_expectati... | 37.654437 | 159 | 0.574767 |
acfddc67b8ea5550cfcef6875682da2f0ef63d49 | 960 | py | Python | models/braintumor/brainapp.py | kushal-h/Medical-AI | de100f6ce3b783086d57dfb0ceab3fa28544df53 | [
"MIT"
] | 11 | 2020-11-08T11:06:16.000Z | 2022-03-14T18:09:55.000Z | models/braintumor/brainapp.py | kushal-h/Medical-AI | de100f6ce3b783086d57dfb0ceab3fa28544df53 | [
"MIT"
] | null | null | null | models/braintumor/brainapp.py | kushal-h/Medical-AI | de100f6ce3b783086d57dfb0ceab3fa28544df53 | [
"MIT"
] | 14 | 2020-10-26T18:10:16.000Z | 2021-08-05T17:06:22.000Z | import os
from flask import Flask, request, render_template,url_for,Blueprint
from flask_cors import CORS, cross_origin
import shutil
import models.braintumor.src.predict as predict
import base64
import numpy as np
from io import BytesIO
#brainapp = Flask(__name__)
brainapp=Blueprint("brainapp",__name__,template_folde... | 29.090909 | 90 | 0.696875 |
acfddc98c31b35fbb20c80c7222db175b8611747 | 628 | py | Python | advancedbot/components/__init__.py | sdallaboratory/advanced-telegram-bot | 7bf107b448cdd0e5d7f1cf85726b06c677ed922d | [
"MIT"
] | 3 | 2020-08-28T12:35:55.000Z | 2020-10-29T12:26:49.000Z | advancedbot/components/__init__.py | sdallaboratory/advanced-telegram-bot | 7bf107b448cdd0e5d7f1cf85726b06c677ed922d | [
"MIT"
] | null | null | null | advancedbot/components/__init__.py | sdallaboratory/advanced-telegram-bot | 7bf107b448cdd0e5d7f1cf85726b06c677ed922d | [
"MIT"
] | 2 | 2021-11-13T15:03:35.000Z | 2022-01-10T13:54:53.000Z | from .role_managing.roleauth import RoleAuth
from .state_managing.statemanager import StateManager
from .user_meta.usermetastorage import UserMetaStorage
from .locales.localemanager import LocaleManager
from .logs.botlogger import BotLogger
from .storage_managing.storage import Storage
from .storage_managing.localjsons... | 34.888889 | 63 | 0.866242 |
acfddcd92b769330ea84762b5768210f93ee19d3 | 13,378 | py | Python | docs/conf.py | kmatt/toyplot | d6784ab176c93aebf9b12831ced8f435bdcfeab1 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | kmatt/toyplot | d6784ab176c93aebf9b12831ced8f435bdcfeab1 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | kmatt/toyplot | d6784ab176c93aebf9b12831ced8f435bdcfeab1 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2014, Sandia Corporation. Under the terms of Contract
# DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain
# rights in this software.
# -*- coding: utf-8 -*-
#
# toyplot documentation build configuration file, created by
# sphinx-quickstart on Fri Apr 18 18:22:53 2014.
#
# This ... | 31.551887 | 186 | 0.70459 |
acfddd02a20f5a928aa653dc83a6751041dbf037 | 25,375 | py | Python | intersight/model/workflow_error_response_handler.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/workflow_error_response_handler.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/workflow_error_response_handler.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advan... | 67.12963 | 6,023 | 0.66668 |
acfdddf906d230121acbf361d085c5d10d244cd9 | 2,766 | py | Python | data-preprocessor/BJUT_100/preprocessor.py | hkbonychen/3D-Morphable-Model-training | fa86d7e62f3dfaf20f312d22fa5013d9328f56f8 | [
"BSD-3-Clause"
] | 3 | 2021-10-03T19:49:04.000Z | 2022-02-11T10:48:05.000Z | data-preprocessor/BJUT_100/preprocessor.py | hkbonychen/3D-Morphable-Model-training | fa86d7e62f3dfaf20f312d22fa5013d9328f56f8 | [
"BSD-3-Clause"
] | null | null | null | data-preprocessor/BJUT_100/preprocessor.py | hkbonychen/3D-Morphable-Model-training | fa86d7e62f3dfaf20f312d22fa5013d9328f56f8 | [
"BSD-3-Clause"
] | 1 | 2021-12-21T01:13:24.000Z | 2021-12-21T01:13:24.000Z | import csv
import sys
import os
import subprocess
import numpy as np
from pathlib import Path
def walklevel(some_dir, level=0):
some_dir = some_dir.rstrip(os.path.sep)
assert os.path.isdir(some_dir)
num_sep = some_dir.count(os.path.sep)
for root, dirs, files in os.walk(some_dir):
yield root, di... | 37.378378 | 117 | 0.691612 |
acfde0147f717f3f29f809dda562af712ce0dfed | 243 | py | Python | notifications/urls.py | jeffsimp88/twitterclone | 696aa05da4feae15d7a0c2296a8d74be4ee32286 | [
"MIT"
] | null | null | null | notifications/urls.py | jeffsimp88/twitterclone | 696aa05da4feae15d7a0c2296a8d74be4ee32286 | [
"MIT"
] | null | null | null | notifications/urls.py | jeffsimp88/twitterclone | 696aa05da4feae15d7a0c2296a8d74be4ee32286 | [
"MIT"
] | null | null | null | from django.urls import path
from notifications import views
urlpatterns = [
path("notifications/", views.notifications_view, name="notifications"),
path("notifications/old/", views.old_notification_view, name="old notifications"),
] | 30.375 | 86 | 0.765432 |
acfde0af0b894a86b7290f45b786502178567283 | 273 | py | Python | tests/artificial/transf_Integration/trend_ConstantTrend/cycle_30/ar_/test_artificial_1024_Integration_ConstantTrend_30__100.py | shaido987/pyaf | b9afd089557bed6b90b246d3712c481ae26a1957 | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/artificial/transf_Integration/trend_ConstantTrend/cycle_30/ar_/test_artificial_1024_Integration_ConstantTrend_30__100.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/artificial/transf_Integration/trend_ConstantTrend/cycle_30/ar_/test_artificial_1024_Integration_ConstantTrend_30__100.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 30, transform = "Integration", sigma = 0.0, exog_count = 100, ar_order = 0); | 39 | 173 | 0.739927 |
acfde165ec504124a9c5c7d52ae7e87b011e9c16 | 7,748 | py | Python | packages/syft/src/syft/core/tensor/autograd/tensor.py | eelcovdw/PySyft | 7eff8e9ad3fffe792ac85b9f38391b7ec0e51391 | [
"Apache-1.1"
] | 1 | 2019-02-10T13:22:14.000Z | 2019-02-10T13:22:14.000Z | packages/syft/src/syft/core/tensor/autograd/tensor.py | dylan-fan/PySyft | c10b0e70a4a7f06eb9e01e6b98f0ff8856d7d62c | [
"Apache-1.1"
] | null | null | null | packages/syft/src/syft/core/tensor/autograd/tensor.py | dylan-fan/PySyft | c10b0e70a4a7f06eb9e01e6b98f0ff8856d7d62c | [
"Apache-1.1"
] | 1 | 2021-07-12T09:15:44.000Z | 2021-07-12T09:15:44.000Z | # future
from __future__ import annotations
# stdlib
from typing import Any
from typing import Dict as TypeDict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Type
from typing import Union
import uuid
# third party
import numpy as np
# relative
from .. import autograd... | 33.253219 | 102 | 0.630356 |
acfde1a681e6156a8e6835d21209dde939aeaa94 | 174 | py | Python | tempCodeRunnerFile.py | jasDestiny/Reddit_EngDict_Bot | a2c81ddf87ab9023647d740112edec3ba47cdd8a | [
"MIT"
] | 1 | 2021-05-28T17:31:05.000Z | 2021-05-28T17:31:05.000Z | tempCodeRunnerFile.py | jasDestiny/Reddit_EngDict_Bot | a2c81ddf87ab9023647d740112edec3ba47cdd8a | [
"MIT"
] | null | null | null | tempCodeRunnerFile.py | jasDestiny/Reddit_EngDict_Bot | a2c81ddf87ab9023647d740112edec3ba47cdd8a | [
"MIT"
] | null | null | null | if comment!="":
# print("reply sent")
# submission.reply("[A Real user's application that autogenerates synonyms of some words] \n\n"+comment) | 58 | 120 | 0.597701 |
acfde2ed648321118a2bfe045b19a2a852f2d03e | 554 | py | Python | manage.py | couldandblow/Intelligent-QA-in-medicine | a067a7fe85c7ec034c627082e2ea28f11ee06797 | [
"MIT"
] | null | null | null | manage.py | couldandblow/Intelligent-QA-in-medicine | a067a7fe85c7ec034c627082e2ea28f11ee06797 | [
"MIT"
] | null | null | null | manage.py | couldandblow/Intelligent-QA-in-medicine | a067a7fe85c7ec034c627082e2ea28f11ee06797 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "KGQA_Based_On_medicine.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't impo... | 34.625 | 86 | 0.694946 |
acfde30aead8d293d45d795d536f193bae0c89c9 | 21,917 | py | Python | google/cloud/aiplatform/utils/__init__.py | morgandu/python-aiplatform | 96ce7387ac58e0ec7cb6a7f6d6a6e422eae5da96 | [
"Apache-2.0"
] | 1 | 2021-09-07T23:11:11.000Z | 2021-09-07T23:11:11.000Z | google/cloud/aiplatform/utils/__init__.py | morgandu/python-aiplatform | 96ce7387ac58e0ec7cb6a7f6d6a6e422eae5da96 | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform/utils/__init__.py | morgandu/python-aiplatform | 96ce7387ac58e0ec7cb6a7f6d6a6e422eae5da96 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 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 o... | 34.514961 | 112 | 0.696491 |
acfde3123065225740dbe1eceeb0c518a06b8555 | 13,407 | py | Python | pychron/pipeline/plot/plotter/references_series.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 31 | 2016-03-07T02:38:17.000Z | 2022-02-14T18:23:43.000Z | pychron/pipeline/plot/plotter/references_series.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 1,626 | 2015-01-07T04:52:35.000Z | 2022-03-25T19:15:59.000Z | pychron/pipeline/plot/plotter/references_series.py | UIllinoisHALPychron/pychron | f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc | [
"Apache-2.0"
] | 26 | 2015-05-23T00:10:06.000Z | 2022-03-07T16:51:57.000Z | # ===============================================================================
# Copyright 2015 Jake Ross
#
# 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... | 33.68593 | 88 | 0.533154 |
acfde3abd51479d957eaa9d75211fadeea8d7784 | 2,135 | py | Python | src/optimctrltf/torch/obj.py | alucantonio/nabla | d24d8611178ae54c952a253612c0e3ae7ca25a21 | [
"MIT"
] | null | null | null | src/optimctrltf/torch/obj.py | alucantonio/nabla | d24d8611178ae54c952a253612c0e3ae7ca25a21 | [
"MIT"
] | null | null | null | src/optimctrltf/torch/obj.py | alucantonio/nabla | d24d8611178ae54c952a253612c0e3ae7ca25a21 | [
"MIT"
] | null | null | null | import torch
import numpy as np
class PyTorchObjective(object):
"""PyTorch objective function, wrapped to be called by scipy.optimize."""
def __init__(self, objfunc, x0):
# Objective function: callable with arguments x, params; must return a single scalar or tensor with one element
self.f = o... | 32.846154 | 119 | 0.601874 |
acfde3fa4edc67f26e7f41cce9c2b25fba87f4aa | 4,114 | py | Python | test/test_shell_script.py | shah-newaz/vaxrank | 65832878f28ce44ccaaf47be3e0c6d38a1743988 | [
"Apache-2.0"
] | null | null | null | test/test_shell_script.py | shah-newaz/vaxrank | 65832878f28ce44ccaaf47be3e0c6d38a1743988 | [
"Apache-2.0"
] | null | null | null | test/test_shell_script.py | shah-newaz/vaxrank | 65832878f28ce44ccaaf47be3e0c6d38a1743988 | [
"Apache-2.0"
] | null | null | null | from os.path import getsize
from mock import patch
from nose.plugins.attrib import attr
from tempfile import NamedTemporaryFile
import pandas as pd
from xlrd import open_workbook
from vaxrank.cli import main as run_shell_script
from .testing_helpers import data_path
cli_args_for_b16_seqdata = [
"--vcf", data_pa... | 32.140625 | 88 | 0.654351 |
acfde407712bbffb4844301748be7abe6897ea92 | 16,785 | py | Python | astropy/modeling/tests/test_core.py | mehrdad-shokri/astropy | abd73b51277694338c8eca7639da956dcd06f207 | [
"BSD-3-Clause"
] | 4 | 2021-03-25T15:49:56.000Z | 2021-12-15T09:10:04.000Z | astropy/modeling/tests/test_core.py | mehrdad-shokri/astropy | abd73b51277694338c8eca7639da956dcd06f207 | [
"BSD-3-Clause"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | astropy/modeling/tests/test_core.py | mehrdad-shokri/astropy | abd73b51277694338c8eca7639da956dcd06f207 | [
"BSD-3-Clause"
] | 3 | 2021-03-28T16:13:00.000Z | 2021-07-16T10:27:25.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# pylint: disable=invalid-name
import os
import sys
import subprocess
import pytest
import numpy as np
from inspect import signature
from numpy.testing import assert_allclose
import astropy
from astropy.modeling.core import Model, custom_model
from astro... | 31.025878 | 109 | 0.601966 |
acfde44cc5bc119f04426ab7364a49efd6811caa | 3,237 | py | Python | profiles_project/settings.py | AngusData/profiles-rest-api | 41eda7366824c5be4b99f0186902fc38c090cd7c | [
"MIT"
] | null | null | null | profiles_project/settings.py | AngusData/profiles-rest-api | 41eda7366824c5be4b99f0186902fc38c090cd7c | [
"MIT"
] | null | null | null | profiles_project/settings.py | AngusData/profiles-rest-api | 41eda7366824c5be4b99f0186902fc38c090cd7c | [
"MIT"
] | null | null | null | """
Django settings for profiles_project project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
impor... | 25.488189 | 91 | 0.700649 |
acfde48d7edfcf775a0170688977782e1d61b5da | 460 | py | Python | env/Lib/site-packages/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | venv/Lib/site-packages/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | venv/Lib/site-packages/plotly/validators/barpolar/marker/colorbar/_tickvalssrc.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="tickvalssrc",
parent_name="barpolar.marker.colorbar",
**kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_n... | 27.058824 | 70 | 0.632609 |
acfde4dbad16b80f8f955eb5733f70c211b77e52 | 3,010 | py | Python | examples/pybullet/examples/userData.py | felipeek/bullet3 | 6a59241074720e9df119f2f86bc01765917feb1e | [
"Zlib"
] | 9,136 | 2015-01-02T00:41:45.000Z | 2022-03-31T15:30:02.000Z | examples/pybullet/examples/userData.py | felipeek/bullet3 | 6a59241074720e9df119f2f86bc01765917feb1e | [
"Zlib"
] | 2,424 | 2015-01-05T08:55:58.000Z | 2022-03-30T19:34:55.000Z | examples/pybullet/examples/userData.py | felipeek/bullet3 | 6a59241074720e9df119f2f86bc01765917feb1e | [
"Zlib"
] | 2,921 | 2015-01-02T10:19:30.000Z | 2022-03-31T02:48:42.000Z | import pybullet as pb
import time
from pybullet_utils import bullet_client
server = bullet_client.BulletClient(connection_mode=pb.SHARED_MEMORY_SERVER)
print("Connecting to bullet server")
CONNECTION_METHOD = pb.SHARED_MEMORY
client = bullet_client.BulletClient(connection_mode=CONNECTION_METHOD)
PLANE_PATH = "plane.... | 28.396226 | 94 | 0.781063 |
acfde72122b2d6224a834cb20ab88b5b97809ef6 | 3,905 | py | Python | 2.0/main.py | Felipe2102/Assistente-Escolar-setup-model | 6181232b52f412581461ee1089fb068b85d7d28e | [
"Apache-2.0"
] | null | null | null | 2.0/main.py | Felipe2102/Assistente-Escolar-setup-model | 6181232b52f412581461ee1089fb068b85d7d28e | [
"Apache-2.0"
] | null | null | null | 2.0/main.py | Felipe2102/Assistente-Escolar-setup-model | 6181232b52f412581461ee1089fb068b85d7d28e | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
import PySimpleGUI as sg
import os
Dia = datetime.now().weekday()
def setup():
#Define o tema
sg.theme('DarkGrey13')
#Cria as pastas
os.mkdir('./Data')
os.mkdir('./Data/Lessons')
#Cria os arquivos
ASEG = open('Data/Lessons/Aulas_seg.txt','w')
ATER = open('Data/Lessons/Aulas_ter.... | 30.271318 | 98 | 0.702433 |
acfde886521b26470efdf1680611c904f6027b07 | 20,470 | py | Python | vspk/v4_0/nuredundantport.py | mohaimenhasan/vspk-python | 4c7b297427048340b250cc3c74d9214dc0d4bde1 | [
"BSD-3-Clause"
] | null | null | null | vspk/v4_0/nuredundantport.py | mohaimenhasan/vspk-python | 4c7b297427048340b250cc3c74d9214dc0d4bde1 | [
"BSD-3-Clause"
] | null | null | null | vspk/v4_0/nuredundantport.py | mohaimenhasan/vspk-python | 4c7b297427048340b250cc3c74d9214dc0d4bde1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2015, Alcatel-Lucent Inc, 2017 Nokia
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyrigh... | 30.416048 | 241 | 0.599365 |
acfde9036c39d84bc896f058fbfe7b992e26113b | 6,443 | py | Python | experiments/vss/export-latex.py | ibalajiarun/libpolycrypto | 89a69ed90ee4e9287222cc5781ff11562286f454 | [
"MIT"
] | 25 | 2020-01-29T19:33:48.000Z | 2022-03-28T16:45:51.000Z | experiments/vss/export-latex.py | ibalajiarun/libpolycrypto | 89a69ed90ee4e9287222cc5781ff11562286f454 | [
"MIT"
] | 2 | 2020-03-18T12:33:27.000Z | 2020-03-18T18:30:55.000Z | experiments/vss/export-latex.py | ibalajiarun/libpolycrypto | 89a69ed90ee4e9287222cc5781ff11562286f454 | [
"MIT"
] | 8 | 2020-07-09T01:35:42.000Z | 2021-07-20T04:54:47.000Z | #!/usr/bin/env python2.7
import matplotlib
matplotlib.use('Agg') # otherwise script does not work when invoked over SSH
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
from matplotlib.dates import MonthLocator, DateFormatter, DayLocator, epoch2num, num2date
import itertools
import pandas
i... | 36.40113 | 164 | 0.652646 |
acfde92d5518e7beb962b7cee980f0c01ffeee3b | 2,080 | py | Python | mps_database/models/threshold_fault.py | slaclab/mps_database | 023ed9bb3b333e382cc612f816c3f4b295b66a4c | [
"BSD-3-Clause-LBNL"
] | null | null | null | mps_database/models/threshold_fault.py | slaclab/mps_database | 023ed9bb3b333e382cc612f816c3f4b295b66a4c | [
"BSD-3-Clause-LBNL"
] | 1 | 2017-07-07T21:31:59.000Z | 2017-07-07T21:31:59.000Z | mps_database/models/threshold_fault.py | slaclab/mps_database | 023ed9bb3b333e382cc612f816c3f4b295b66a4c | [
"BSD-3-Clause-LBNL"
] | 4 | 2017-07-07T20:10:54.000Z | 2020-12-13T00:03:37.000Z | from sqlalchemy import Column, Integer, Float, String, Boolean, ForeignKey
from sqlalchemy.orm import relationship, backref
from mps_database.models import Base
class ThresholdFault(Base):
"""
ThresholdFault class (threshold_faults table)
Describe an analog fault, which is generated by an AnalogDevice.
The An... | 45.217391 | 103 | 0.751923 |
acfde9453ce0c9c058b5aee09f9c5b14eefe5196 | 2,234 | py | Python | geekup/models/participant.py | hasgeek/geekup | 4e9b83f63203ae15d11a3e2e679e8a86ae02e545 | [
"CC-BY-3.0"
] | 1 | 2020-06-26T17:10:37.000Z | 2020-06-26T17:10:37.000Z | geekup/models/participant.py | hasgeek/geekup | 4e9b83f63203ae15d11a3e2e679e8a86ae02e545 | [
"CC-BY-3.0"
] | 5 | 2017-05-04T06:24:17.000Z | 2019-05-08T00:16:46.000Z | geekup/models/participant.py | hasgeek/geekup | 4e9b83f63203ae15d11a3e2e679e8a86ae02e545 | [
"CC-BY-3.0"
] | null | null | null | # -*- coding: utf-8 -*-
from geekup.models import db, BaseMixin
from datetime import datetime
class Participant(BaseMixin, db.Model):
"""
Participant data, as submitted from the registration form.
"""
__tablename__ = 'participant'
#: User's full name
fullname = db.Column(db.Unicode(80), nulla... | 39.192982 | 77 | 0.682632 |
acfdebb27e82073412a74171aa132600d05a2dd6 | 862 | py | Python | Taller_Estructuras_de _Control_Selectivas/Ejercicio_16.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | Taller_Estructuras_de _Control_Selectivas/Ejercicio_16.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | Taller_Estructuras_de _Control_Selectivas/Ejercicio_16.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | """
Datos de entrada
valor para A en la formula cuadratica = a= float
valor para B en la formula cuadratica = b = float
valor para C en la formula cuadratica = c = float
Datos de salida
Resultado de la ecuacion = A X**2 +BX + C =0
"""
# Entradas
a=float(input("valor para A en la formula cuadratica "))
b=float(in... | 22.684211 | 82 | 0.687935 |
acfdebe951a5af3b6dd3848c882863048fc9e0c6 | 1,076 | py | Python | dependencies/scons-config/build/lib.linux-x86_64-2.7/sconsconfig/packages/sqlite3.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 17 | 2018-11-25T19:29:34.000Z | 2021-09-20T04:46:22.000Z | dependencies/scons-config/build/lib.linux-x86_64-2.7/sconsconfig/packages/sqlite3.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 1 | 2020-11-12T15:15:58.000Z | 2020-12-29T15:29:24.000Z | dependencies/scons-config/build/lib.linux-x86_64-2.7/sconsconfig/packages/sqlite3.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 4 | 2018-10-17T12:18:10.000Z | 2021-05-28T13:24:20.000Z | import sys, os
from Package import Package
##
##
##
class sqlite3(Package):
def __init__(self, **kwargs):
defaults = {
'download_url': 'http://github.com/furious-luke/sqlite3-ext/tarball/master',
}
defaults.update(kwargs)
super(sqlite3, self).__init__(**defaults)
... | 22.893617 | 92 | 0.549257 |
acfdee6a35e1886193846182859f207bee72621f | 401 | py | Python | src/draggle_blog/wsgi.py | dipto0321/draggle_blog | c19f96aa1d4d2fb8b4b901e33c38e92602ef1fcb | [
"MIT"
] | null | null | null | src/draggle_blog/wsgi.py | dipto0321/draggle_blog | c19f96aa1d4d2fb8b4b901e33c38e92602ef1fcb | [
"MIT"
] | 27 | 2019-11-12T17:04:02.000Z | 2020-06-08T23:31:19.000Z | src/draggle_blog/wsgi.py | dipto0321/draggle_blog | c19f96aa1d4d2fb8b4b901e33c38e92602ef1fcb | [
"MIT"
] | null | null | null | """
WSGI config for draggle_blog project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_... | 23.588235 | 78 | 0.790524 |
acfdf0b15fd7d353b2668624f2976019bb1c5593 | 802 | py | Python | opentech/apply/funds/templatetags/submission_tags.py | JakabGy/hypha | 32634080ba1cb369f07f27f6616041e4eca8dbf2 | [
"BSD-3-Clause"
] | null | null | null | opentech/apply/funds/templatetags/submission_tags.py | JakabGy/hypha | 32634080ba1cb369f07f27f6616041e4eca8dbf2 | [
"BSD-3-Clause"
] | null | null | null | opentech/apply/funds/templatetags/submission_tags.py | JakabGy/hypha | 32634080ba1cb369f07f27f6616041e4eca8dbf2 | [
"BSD-3-Clause"
] | null | null | null | import re
from django import template
from django.utils.safestring import mark_safe
from opentech.apply.funds.models import ApplicationSubmission
register = template.Library()
@register.filter
def submission_links(value):
# Match tags in the format #123 that is not preceeded and/or followed by a word character... | 32.08 | 161 | 0.665835 |
acfdf147d28c7124b641a7334212c00dec2b4ece | 10,409 | py | Python | tests/conftest.py | Alenush/datasets | 8342de4864ce255e802c0d15b14921029002befa | [
"Apache-2.0"
] | 1 | 2021-11-21T18:37:28.000Z | 2021-11-21T18:37:28.000Z | tests/conftest.py | Ishan-Kumar2/datasets | ba831e4bcd175ae3d52afbf7d12c4f625bf541b0 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | Ishan-Kumar2/datasets | ba831e4bcd175ae3d52afbf7d12c4f625bf541b0 | [
"Apache-2.0"
] | null | null | null | import csv
import json
import lzma
import os
import textwrap
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from datasets import config
from datasets.arrow_dataset import Dataset
from datasets.features import ClassLabel, Features, Sequence, Value
from .s3_fixtures import * # noqa: load s3 fixtures
... | 29.238764 | 117 | 0.619176 |
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