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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
331d9b5f8021efea23f2d9e9bee7c6d05cfd78df | 3,342 | py | Python | venv/Lib/site-packages/pyrogram/raw/functions/messages/get_inline_bot_results.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 2 | 2021-12-13T07:09:55.000Z | 2022-01-12T12:15:20.000Z | venv/Lib/site-packages/pyrogram/raw/functions/messages/get_inline_bot_results.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/functions/messages/get_inline_bot_results.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free... | 33.757576 | 158 | 0.610712 |
331da570311b08a27b4ae622202955c878cc6e23 | 14,449 | py | Python | utils/ignn_utils.py | FFTYYY/TWIRLS | e751fa514baef54e8456135b7b790a0f810d0792 | [
"MIT"
] | 25 | 2021-06-16T15:56:04.000Z | 2022-02-06T09:47:31.000Z | utils/ignn_utils.py | FFTYYY/TWIRLS | e751fa514baef54e8456135b7b790a0f810d0792 | [
"MIT"
] | null | null | null | utils/ignn_utils.py | FFTYYY/TWIRLS | e751fa514baef54e8456135b7b790a0f810d0792 | [
"MIT"
] | 1 | 2021-06-29T05:45:47.000Z | 2021-06-29T05:45:47.000Z | # This file is copied from IGNN's repo
import sys
import numpy as np
import scipy.sparse as sp
import torch
import torch_sparse
import pickle as pkl
import networkx as nx
from time import perf_counter
from sklearn import metrics
def aug_normalized_adjacency(adj, need_orig=False):
if not need_orig:
adj = a... | 35.676543 | 123 | 0.630632 |
331dbad2bfb760e9795ac1cbf6f1cf9d214c5bd1 | 13,700 | py | Python | pypykatz/commons/readers/local/common/psapi.py | retr0-13/pypykatz | 0d689fbd819c52ca46709737b2c063f40e302832 | [
"MIT"
] | 1 | 2020-01-11T20:41:01.000Z | 2020-01-11T20:41:01.000Z | pypykatz/commons/readers/local/common/psapi.py | retr0-13/pypykatz | 0d689fbd819c52ca46709737b2c063f40e302832 | [
"MIT"
] | null | null | null | pypykatz/commons/readers/local/common/psapi.py | retr0-13/pypykatz | 0d689fbd819c52ca46709737b2c063f40e302832 | [
"MIT"
] | 2 | 2019-08-04T23:16:05.000Z | 2019-12-05T10:41:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2009-2016, Mario Vilas
# 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... | 35.492228 | 102 | 0.673212 |
331dc86b412d3879da697df7e52764ee514f5d0a | 5,876 | py | Python | tests/test_mvc/test_base.py | agoose77/spectate | a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3 | [
"MIT"
] | null | null | null | tests/test_mvc/test_base.py | agoose77/spectate | a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3 | [
"MIT"
] | null | null | null | tests/test_mvc/test_base.py | agoose77/spectate | a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3 | [
"MIT"
] | null | null | null | from pytest import raises
from spectate.core import MethodSpectator
from spectate import mvc
from .mock import model_events, Counter
def test_control_is_only_for_model():
"""Controls must be defined on a Model"""
with raises(RuntimeError):
class X:
_control = mvc.Control("something")
... | 22.51341 | 85 | 0.579135 |
331ddcb45770312e0226c2caa7e44e02170271de | 1,295 | py | Python | tests/mdts/lib/failure/combined_failure.py | duarten/midonet | c7a5aa352a8038bdc6a463c68abc47bb411a1e7c | [
"Apache-2.0"
] | 1 | 2015-05-19T08:36:55.000Z | 2015-05-19T08:36:55.000Z | tests/mdts/lib/failure/combined_failure.py | duarten/midonet | c7a5aa352a8038bdc6a463c68abc47bb411a1e7c | [
"Apache-2.0"
] | null | null | null | tests/mdts/lib/failure/combined_failure.py | duarten/midonet | c7a5aa352a8038bdc6a463c68abc47bb411a1e7c | [
"Apache-2.0"
] | 1 | 2018-10-25T05:52:05.000Z | 2018-10-25T05:52:05.000Z | # Copyright 2014 Midokura SARL
#
# 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... | 30.116279 | 74 | 0.687259 |
331ddf6e9bd3f7e1eac2f5b631ab8288e61c3c79 | 4,539 | py | Python | trinity/sync/__main__.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 137 | 2017-03-17T11:37:51.000Z | 2022-03-07T07:51:28.000Z | trinity/sync/__main__.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 102 | 2017-04-07T10:43:03.000Z | 2018-11-11T18:01:56.000Z | trinity/sync/__main__.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 39 | 2017-03-17T11:38:52.000Z | 2021-02-18T23:05:17.000Z | import asyncio
import logging
from typing import (
Type,
Union,
)
from eth.exceptions import HeaderNotFound
from p2p.peer import PeerPool
from .common.chain import BaseHeaderChainSyncer
from .full.chain import FastChainSyncer, RegularChainSyncer
from .light.chain import LightChainSyncer
def _test() -> None... | 33.622222 | 98 | 0.706323 |
331df797ff0b2c52bf4dc841282436aed17b9da8 | 1,666 | py | Python | bioseq/migrations/0008_auto_20200626_1729.py | sndg-arg/covid19-web | fe809c87563a00bbec53c3646338d571fdde6a69 | [
"MIT"
] | null | null | null | bioseq/migrations/0008_auto_20200626_1729.py | sndg-arg/covid19-web | fe809c87563a00bbec53c3646338d571fdde6a69 | [
"MIT"
] | 2 | 2021-03-10T17:08:59.000Z | 2021-09-29T17:40:48.000Z | bioseq/migrations/0008_auto_20200626_1729.py | sndg-arg/covid19-web | fe809c87563a00bbec53c3646338d571fdde6a69 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2020-06-26 20:29
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('bioseq', '0007_auto_20200610_1832'),
]
operations = [
migrations.AlterField(
model_name='sample... | 34 | 137 | 0.559424 |
331e04cd1a611032bc158b0e1486858499740a57 | 2,249 | py | Python | layers.py | JiarunLiu/ViT-CIFAR | c942fe9ea48fd95a843b34a569ab13bc796ab304 | [
"MIT"
] | 38 | 2021-04-12T02:48:20.000Z | 2022-03-08T14:25:04.000Z | layers.py | JiarunLiu/ViT-CIFAR | c942fe9ea48fd95a843b34a569ab13bc796ab304 | [
"MIT"
] | 5 | 2021-11-12T03:15:21.000Z | 2022-03-22T03:17:14.000Z | layers.py | JiarunLiu/ViT-CIFAR | c942fe9ea48fd95a843b34a569ab13bc796ab304 | [
"MIT"
] | 8 | 2021-11-24T14:21:38.000Z | 2022-03-29T15:07:37.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchsummary
class TransformerEncoder(nn.Module):
def __init__(self, feats:int, mlp_hidden:int, head:int=8, dropout:float=0.):
super(TransformerEncoder, self).__init__()
self.la1 = nn.LayerNorm(feats)
self.msa = Mult... | 30.808219 | 96 | 0.59582 |
331e188099b5e9ca430e0d8c4d4173d4ece1507e | 23 | py | Python | btd6_memory_info/generated/Assets/Scripts/Simulation/Towers/Behaviors/Abilities/Behaviors/TechBotLink/tech_bot_link.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/Assets/Scripts/Simulation/Towers/Behaviors/Abilities/Behaviors/TechBotLink/tech_bot_link.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/Assets/Scripts/Simulation/Towers/Behaviors/Abilities/Behaviors/TechBotLink/tech_bot_link.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | class TechBotLink: pass | 23 | 23 | 0.869565 |
331e4da792e0cef33af941df2b7e907443d1db42 | 710 | py | Python | teafacto/scripts/theanowrap.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 2 | 2016-06-28T23:41:42.000Z | 2017-01-14T12:41:36.000Z | teafacto/scripts/theanowrap.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 1 | 2016-04-20T20:09:20.000Z | 2016-08-17T19:02:47.000Z | teafacto/scripts/theanowrap.py | lukovnikov/teafacto | 5e863df8d061106ad705c0837f2d2ca4e08db0e4 | [
"MIT"
] | 5 | 2016-07-18T17:05:18.000Z | 2018-10-13T05:40:05.000Z | from teafacto.core.base import tensorops as T, Val, param
import numpy as np
import sys
x = Val(np.random.random((10,10)))
#y = Val(np.random.random((10,10)))
y = param((10, 10), name="y").uniform()
w = param((10, 10), name="w").uniform()
#z = T.dot(x, y)
z = (x + y)
u = z * w
s = T.nnet.sigmoid
s2 = T.nnet.sigmoid
p... | 21.515152 | 57 | 0.68169 |
331e4fb0b4e22118ba9ee515b5fcd50a9d0a9125 | 7,897 | py | Python | dataprep/eda/intermediate.py | Waterpine/dataprep-1 | 4032acb1d1f2c413d4cb000d17e8ffa611315f9f | [
"MIT"
] | 1 | 2022-02-14T07:18:00.000Z | 2022-02-14T07:18:00.000Z | dataprep/eda/intermediate.py | Waterpine/dataprep-1 | 4032acb1d1f2c413d4cb000d17e8ffa611315f9f | [
"MIT"
] | null | null | null | dataprep/eda/intermediate.py | Waterpine/dataprep-1 | 4032acb1d1f2c413d4cb000d17e8ffa611315f9f | [
"MIT"
] | null | null | null | """
Intermediate class
"""
from typing import Any, Dict, Tuple, Union, Optional
from pathlib import Path
import json
import os
import numpy as np
import pandas as pd
from .dtypes_v2 import Continuous, Nominal, SmallCardNum
class Intermediate(Dict[str, Any]):
"""This class contains intermediate results."""
... | 37.075117 | 97 | 0.470432 |
331e6e2071aa38e2b38f14a36352a3264aa28140 | 2,485 | py | Python | run_exp/exp_5_2_prob_er.py | wutong8023/Continual-MM | 0e39b1f4791f0444ed3ee4e8c6fc55bfcc2d001c | [
"MIT"
] | 1 | 2021-06-30T04:27:57.000Z | 2021-06-30T04:27:57.000Z | run_exp/exp_5_2_prob_er.py | wutong8023/Continual-MM | 0e39b1f4791f0444ed3ee4e8c6fc55bfcc2d001c | [
"MIT"
] | null | null | null | run_exp/exp_5_2_prob_er.py | wutong8023/Continual-MM | 0e39b1f4791f0444ed3ee4e8c6fc55bfcc2d001c | [
"MIT"
] | null | null | null | """
Author: Tong
Time: 28-04-2021
"""
def generate_cmd():
cmd_list = []
info_list = []
for model in ["er_nlp"]:
# for dataset in ["seq-clinc150", "seq-maven", "seq-webred"]:
for dataset in ["seq-clinc150"]:
for seed in range(1):
seed = seed * 100
... | 57.790698 | 116 | 0.268008 |
331e8cd258da26275a25f916b24ea43e08ddf55b | 195 | py | Python | duckietown_rl/gym_duckietown/config.py | rizavelioglu/AIDO-CITEC | 97f4d8564dc6eb743063a7902a8932a429349c04 | [
"MIT"
] | 18 | 2020-08-31T11:30:41.000Z | 2022-02-15T07:35:12.000Z | duckietown_rl/gym_duckietown/config.py | rizavelioglu/AIDO-CITEC | 97f4d8564dc6eb743063a7902a8932a429349c04 | [
"MIT"
] | 5 | 2020-09-27T02:15:56.000Z | 2022-01-23T17:56:24.000Z | duckietown_rl/gym_duckietown/config.py | rizavelioglu/AIDO-CITEC | 97f4d8564dc6eb743063a7902a8932a429349c04 | [
"MIT"
] | 21 | 2020-04-28T16:38:01.000Z | 2021-11-16T14:21:08.000Z | # coding=utf-8
DEFAULTS = {
"map": "small_loop",
"domain_rand": False,
"max_steps": 500,
"challenges": {
"LF": "loop_obstacles",
"LFV": "loop_pedestrians"
}
}
| 17.727273 | 33 | 0.533333 |
331e8dffde3ac98a24638bc6b2b602646257449d | 1,311 | py | Python | eda.py | innat/BraTS-MGMT-Classification | 276b0146e315836c1ce82918c7c881cbd9c1517b | [
"Apache-2.0"
] | 2 | 2022-01-22T11:13:57.000Z | 2022-02-14T03:49:12.000Z | eda.py | innat/BraTS-MGMT-Classification | 276b0146e315836c1ce82918c7c881cbd9c1517b | [
"Apache-2.0"
] | null | null | null | eda.py | innat/BraTS-MGMT-Classification | 276b0146e315836c1ce82918c7c881cbd9c1517b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 17 13:49:14 2021
@author: innat
"""
from config import *
import config
train_df_path, trian_img_path, registered_samples = config.sample_path(registered_samples = False)
df = pd.read_csv(train_df_path); print(df.shape)
display(df.head()); print(df.MGMT_value.value_count... | 26.755102 | 98 | 0.624714 |
331e9857c4ea0de0817ac0a428f08c4543e7ef57 | 3,107 | py | Python | bootcamp/multimedia/models.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | bootcamp/multimedia/models.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | bootcamp/multimedia/models.py | basiltiger/easy_bootcamp | 875b9ed287f1a7824bb38f142dbe2f3b1ce54389 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.contrib.auth.models import User
from django.db import models
from autoslug import AutoSlugField
from django.utils.encoding import python_2_unicode_compatible
from django.utils.translation import ugettext_lazy as _
from django.db.models import Count
from embed_video.... | 27.495575 | 81 | 0.69971 |
331e99bf75cfcafc444fb650f421b23e57f999b3 | 60,066 | py | Python | tencentcloud/ame/v20190916/models.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | 465 | 2018-04-27T09:54:59.000Z | 2022-03-29T02:18:01.000Z | tencentcloud/ame/v20190916/models.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | 91 | 2018-04-27T09:48:11.000Z | 2022-03-12T08:04:04.000Z | tencentcloud/ame/v20190916/models.py | lleiyyang/tencentcloud-sdk-python | e6e6a4ce89286673b2322ae92d3c2fbf8665aa0b | [
"Apache-2.0"
] | 232 | 2018-05-02T08:02:46.000Z | 2022-03-30T08:02:48.000Z | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 28.905679 | 163 | 0.590667 |
331eb79155f18c4fedae36120b63a472b4bb97c4 | 3,562 | py | Python | doc/parameter_files/pcmdi_input_parameters_test.py | gleckler1/pcmdi_metrics | 5b1c587ba64bb950debffed48b37430817be29e1 | [
"X11",
"MIT"
] | null | null | null | doc/parameter_files/pcmdi_input_parameters_test.py | gleckler1/pcmdi_metrics | 5b1c587ba64bb950debffed48b37430817be29e1 | [
"X11",
"MIT"
] | null | null | null | doc/parameter_files/pcmdi_input_parameters_test.py | gleckler1/pcmdi_metrics | 5b1c587ba64bb950debffed48b37430817be29e1 | [
"X11",
"MIT"
] | null | null | null | ################################################################################
# OPTIONS ARE SET BY USER IN THIS FILE AS INDICATED BELOW:
################################################################################
## METRICS RUN IDENTIFICATION
case_id = 'sampletest_140910' ; # Defines a subdirectory to output... | 71.24 | 175 | 0.683885 |
331edd8e84158ad0e2b5867b4f3cb0a03919f7e1 | 2,259 | py | Python | linearlizer.py | benblack769/sound-eval | 01a49b28d389eb49c97eafaaca067308805e3463 | [
"MIT"
] | null | null | null | linearlizer.py | benblack769/sound-eval | 01a49b28d389eb49c97eafaaca067308805e3463 | [
"MIT"
] | null | null | null | linearlizer.py | benblack769/sound-eval | 01a49b28d389eb49c97eafaaca067308805e3463 | [
"MIT"
] | null | null | null | import tensorflow as tf
from WeightBias import DenseLayer
import numpy as np
import os
class Linearlizer:
def __init__(self,
input_size,
hidden_size,
output_size):
self.input_size = input_size
self.hidden_size = hidden_size
self.output_size = output_size... | 35.857143 | 114 | 0.655157 |
331f63810660a770bb0ce78f94ffd1f4ede75e9c | 2,903 | py | Python | python/app/plugins/http/Phpmyadmin/Phpmyadmin_Weakpwd.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 351 | 2020-02-26T05:23:26.000Z | 2022-03-26T12:39:19.000Z | python/app/plugins/http/Phpmyadmin/Phpmyadmin_Weakpwd.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 15 | 2020-03-26T07:31:49.000Z | 2022-03-09T02:12:17.000Z | python/app/plugins/http/Phpmyadmin/Phpmyadmin_Weakpwd.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 99 | 2020-02-28T07:30:46.000Z | 2022-03-16T16:41:09.000Z | #!/usr/bin/env python3
import re
import urllib
from app.lib.utils.request import request
from app.lib.utils.common import get_useragent
class Phpmyadmin_Weakpwd_BaseVerify:
def __init__(self, url):
self.info = {
'name': 'Phpmyadmin弱口令漏洞',
'description': 'Phpmyadmin弱口令漏洞',
... | 39.22973 | 177 | 0.517051 |
331f85bdb1ae7b3fffe216fa2aa5deb29ff54be7 | 4,171 | py | Python | venv/Lib/site-packages/tests/test_046_FetchTupleMany_05.py | shehzadulislam/Assignment4 | a9cced70be6ae5d2685027d68032d5849f638301 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/tests/test_046_FetchTupleMany_05.py | shehzadulislam/Assignment4 | a9cced70be6ae5d2685027d68032d5849f638301 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/tests/test_046_FetchTupleMany_05.py | shehzadulislam/Assignment4 | a9cced70be6ae5d2685027d68032d5849f638301 | [
"Apache-2.0"
] | null | null | null | #
# Licensed Materials - Property of IBM
#
# (c) Copyright IBM Corp. 2007-2008
#
import unittest, sys
import ibm_db
import config
from testfunctions import IbmDbTestFunctions
class IbmDbTestCase(unittest.TestCase):
def test_046_FetchTupleMany_05(self):
obj = IbmDbTestFunctions()
obj.assert_expect(self.r... | 60.449275 | 142 | 0.715895 |
331f9b9d79aaa46c9a90de1b244d58b664b56d83 | 5,939 | py | Python | sdks/python/appcenter_sdk/models/TeamUserResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | null | null | null | sdks/python/appcenter_sdk/models/TeamUserResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 6 | 2019-10-23T06:38:53.000Z | 2022-01-22T07:57:58.000Z | sdks/python/appcenter_sdk/models/TeamUserResponse.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 2 | 2019-10-23T06:31:05.000Z | 2021-08-21T17:32:47.000Z | # coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: benedetto.abbenanti@gmail.com
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
import pprint
import re # noqa: F401
import six
class TeamUserRespon... | 28.830097 | 98 | 0.575013 |
331fab8597e2680f0cf9ccc00fdf9ec86a5b694d | 3,274 | py | Python | backend/src/apiserver/visualization/test_server.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 2,860 | 2018-05-24T04:55:01.000Z | 2022-03-31T13:49:56.000Z | backend/src/apiserver/visualization/test_server.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 7,331 | 2018-05-16T09:03:26.000Z | 2022-03-31T23:22:04.000Z | backend/src/apiserver/visualization/test_server.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 1,359 | 2018-05-15T11:05:41.000Z | 2022-03-31T09:42:09.000Z | # Copyright 2019 The Kubeflow 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... | 32.415842 | 151 | 0.637447 |
331fbae66e5e85dd5ea68fc80fa7801865df23c4 | 4,864 | py | Python | python/ray/experimental/sgd/mnist_example.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 2 | 2019-10-08T13:31:08.000Z | 2019-10-22T18:34:52.000Z | python/ray/experimental/sgd/mnist_example.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 1 | 2018-12-26T01:09:50.000Z | 2018-12-26T01:09:50.000Z | python/ray/experimental/sgd/mnist_example.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 6 | 2019-03-12T05:37:35.000Z | 2020-03-09T12:25:17.000Z | #!/usr/bin/env python
"""Example of how to train a model with Ray SGD.
We use a small model here, so no speedup for distributing the computation is
expected. This example shows:
- How to set up a simple input pipeline
- How to evaluate model accuracy during training
- How to get and set model weights
-... | 33.088435 | 79 | 0.61801 |
331fdf69308e3e55a8d02ab0461b718ab2c5d60d | 620 | py | Python | handle_test.py | MingdaMingda/WE060001-NMJKL | 50c18dc78e03222d4b94fba6653fc0ad759f1aee | [
"Unlicense"
] | null | null | null | handle_test.py | MingdaMingda/WE060001-NMJKL | 50c18dc78e03222d4b94fba6653fc0ad759f1aee | [
"Unlicense"
] | null | null | null | handle_test.py | MingdaMingda/WE060001-NMJKL | 50c18dc78e03222d4b94fba6653fc0ad759f1aee | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import logging
import tornado.web
import io_weixin_auth
class Test2Handler(tornado.web.RequestHandler):
def get(self):
logging.info('AAA: IN test-get')
code = self.get_argument('code', None)
token_info = io_weixin_auth.get_user_tok... | 24.8 | 74 | 0.675806 |
33200b93066b6f70e8ebbd795e424261e9ded5f4 | 186 | py | Python | tests/integration/hub_usage/dummyhub_abs/__init__.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 15,179 | 2020-04-28T10:23:56.000Z | 2022-03-31T14:35:25.000Z | tests/integration/hub_usage/dummyhub_abs/__init__.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 3,912 | 2020-04-28T13:01:29.000Z | 2022-03-31T14:36:46.000Z | tests/integration/hub_usage/dummyhub_abs/__init__.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 1,955 | 2020-04-28T10:50:49.000Z | 2022-03-31T12:28:34.000Z | from helper import foo
from jina import Executor
class DummyHubExecutorAbs(Executor):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
foo()
| 18.6 | 41 | 0.666667 |
3320158b34f5ec30a11f38f641d794f591f52bda | 498 | py | Python | xos/core/migrations/0011_sliver_instance_uuid.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | xos/core/migrations/0011_sliver_instance_uuid.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | xos/core/migrations/0011_sliver_instance_uuid.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0010_auto_20150118_1926'),
]
operations = [
migrations.AddField(
model_name='instance',
name... | 23.714286 | 107 | 0.624498 |
33201892f4fb3a369b9c2f656334f9faa1eb89ed | 622 | py | Python | src/BribeNet/gui/apps/temporal/wizard/rating_methods/p_gamma_rating.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | src/BribeNet/gui/apps/temporal/wizard/rating_methods/p_gamma_rating.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | src/BribeNet/gui/apps/temporal/wizard/rating_methods/p_gamma_rating.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | import tkinter as tk
from BribeNet.graph.ratingMethod import RatingMethod
from BribeNet.gui.apps.temporal.wizard.rating_methods.rating_method_frame import RatingMethodFrame
class PGammaRating(RatingMethodFrame):
enum_value = RatingMethod.P_GAMMA_RATING
name = 'p_gamma_rating'
def __init__(self, parent):... | 27.043478 | 98 | 0.692926 |
332033872708a9eb9dc613e794f9690550717222 | 839 | py | Python | alipay/aop/api/domain/AlipaySecurityProdMyGetchyQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipaySecurityProdMyGetchyQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipaySecurityProdMyGetchyQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipaySecurityProdMyGetchyQueryModel(object):
def __init__(self):
self._chen = None
@property
def chen(self):
return self._chen
@chen.setter
def chen(self, value... | 20.463415 | 59 | 0.568534 |
33203f09b533654ef8a6d0a6aa7347017b40aedf | 1,824 | py | Python | unittest/python/bindings_frame.py | yDMhaven/pinocchio | fabed17d5ad0dc1c8d251c64cfa656a0215469a5 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2020-04-07T07:23:34.000Z | 2020-04-07T07:23:34.000Z | unittest/python/bindings_frame.py | yDMhaven/pinocchio | fabed17d5ad0dc1c8d251c64cfa656a0215469a5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | unittest/python/bindings_frame.py | yDMhaven/pinocchio | fabed17d5ad0dc1c8d251c64cfa656a0215469a5 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2020-02-25T13:34:37.000Z | 2020-02-25T13:34:37.000Z | import unittest
import pinocchio as pin
pin.switchToNumpyMatrix()
import numpy as np
class TestFrameBindings(unittest.TestCase):
def setUp(self):
self.model = pin.buildSampleModelHumanoidRandom()
self.parent_idx = self.model.getJointId("rarm2_joint") if self.model.existJointName("rarm2_joint") els... | 38 | 134 | 0.688048 |
33206b32e318cd9999db81d8fc3c99953a324884 | 4,793 | py | Python | toppra/utils.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | toppra/utils.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | toppra/utils.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | """
Some utility functions need to generate PathConstraints. Most are
specific to different scenarios.
"""
import logging, coloredlogs
import numpy as np
LOGGER = logging.getLogger(__name__)
def setup_logging(level="WARN"):
""" Setup basic logging facility to console.
"""
coloredlogs.install(logger=loggi... | 30.528662 | 106 | 0.613603 |
33207f22186a331cb374b1fb282ae5b5be36c79b | 3,034 | py | Python | tilesets/models.py | dbmi-bgm/cgap-higlass-server | c3d1b640cdbbcb92740a20988620ab6728d5a159 | [
"MIT"
] | null | null | null | tilesets/models.py | dbmi-bgm/cgap-higlass-server | c3d1b640cdbbcb92740a20988620ab6728d5a159 | [
"MIT"
] | null | null | null | tilesets/models.py | dbmi-bgm/cgap-higlass-server | c3d1b640cdbbcb92740a20988620ab6728d5a159 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import django
import django.contrib.auth.models as dcam
import slugid
from django.db import models
class ViewConf(models.Model):
created = models.DateTimeField(auto_now_add=True)
higlassVersion = models.CharField(max_length=16, default='')
uuid = models.CharField(... | 33.711111 | 99 | 0.665788 |
332094a62446ed7ef19698ba9f8773a4170c5fdc | 134 | py | Python | profiles/urls.py | benoitboyer/DjangoBio | 415e048e7207f4abc6ac9b6bde7b7c7043aab78a | [
"MIT"
] | null | null | null | profiles/urls.py | benoitboyer/DjangoBio | 415e048e7207f4abc6ac9b6bde7b7c7043aab78a | [
"MIT"
] | null | null | null | profiles/urls.py | benoitboyer/DjangoBio | 415e048e7207f4abc6ac9b6bde7b7c7043aab78a | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
app_name="profiles"
urlpatterns = [
url(r'^$',views.index,name="index" ),
]
| 16.75 | 41 | 0.686567 |
3320a6db3dcad21135c0bf5022b29cc39d76d767 | 922 | py | Python | feature_selection/new_enron_feature.py | blockchain99/ml-udacity | cfb32b529787f624e39b94f8d26bf71877fddb40 | [
"MIT"
] | 13 | 2016-04-29T07:21:44.000Z | 2021-09-29T03:20:51.000Z | feature_selection/new_enron_feature.py | blockchain99/ml-udacity | cfb32b529787f624e39b94f8d26bf71877fddb40 | [
"MIT"
] | 1 | 2017-02-07T07:37:20.000Z | 2017-02-19T08:37:17.000Z | ml-udacity/feature_selection/new_enron_feature.py | napjon/moocs_solution | 5c96f43f6cb2ae643f482580446869953a99beb6 | [
"MIT"
] | 13 | 2016-01-25T03:23:57.000Z | 2019-10-13T15:29:23.000Z |
#!/usr/bin/python
import os
import sys
import zipfile
from poi_flag_email import poiFlagEmail, getToFromStrings
data_dict = {}
with zipfile.ZipFile('emails.zip', "r") as z:
z.extractall()
for email_message in os.listdir("emails"):
if email_message == ".DS_Store":
continue
message = open(os.getc... | 25.611111 | 75 | 0.625813 |
3320c783e4edb2aacf918d092ee7b7ef3c2762a6 | 2,967 | py | Python | raspi/io_states/e_ink_state.py | kylecombes/poe-bocs | f2d6d96ee4e3d2365af3a7931697d2ded3433574 | [
"MIT"
] | 1 | 2019-01-19T22:34:16.000Z | 2019-01-19T22:34:16.000Z | raspi/io_states/e_ink_state.py | kylecombes/bocs | f2d6d96ee4e3d2365af3a7931697d2ded3433574 | [
"MIT"
] | null | null | null | raspi/io_states/e_ink_state.py | kylecombes/bocs | f2d6d96ee4e3d2365af3a7931697d2ded3433574 | [
"MIT"
] | null | null | null | from os import path
from raspi.io_states.io_state import IOState
class EInkState(IOState):
image_path = None
text = None
def __init__(self, old_state_json=None):
"""
Creates a new EInkState to keep track of the state attributes of the e-ink display. Currently, only an image or
so... | 41.208333 | 119 | 0.629255 |
3320fbdc6850e081fe04db1d3b6cab4b22cf3bab | 1,245 | py | Python | conf/settings_production.py | casainurbania/exam3 | 25f814cd0cc4b839fb9a12039af04837b61961dd | [
"Apache-2.0"
] | null | null | null | conf/settings_production.py | casainurbania/exam3 | 25f814cd0cc4b839fb9a12039af04837b61961dd | [
"Apache-2.0"
] | null | null | null | conf/settings_production.py | casainurbania/exam3 | 25f814cd0cc4b839fb9a12039af04837b61961dd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云(BlueKing) available.
Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obt... | 42.931034 | 115 | 0.613655 |
3321036a3ef56e12435d07c13af8594ec2052563 | 3,738 | py | Python | influxdb_client/domain/threshold_check.py | kelseiv/influxdb-client-python | 9a0d2d659157cca96f6a04818fdeb215d699bdd7 | [
"MIT"
] | 1 | 2021-06-06T10:39:47.000Z | 2021-06-06T10:39:47.000Z | influxdb_client/domain/threshold_check.py | kelseiv/influxdb-client-python | 9a0d2d659157cca96f6a04818fdeb215d699bdd7 | [
"MIT"
] | null | null | null | influxdb_client/domain/threshold_check.py | kelseiv/influxdb-client-python | 9a0d2d659157cca96f6a04818fdeb215d699bdd7 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Influx API Service
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from influxd... | 26.510638 | 124 | 0.566613 |
33211a3b9d0339830c4aca0464610c62b0f40ae5 | 5,121 | py | Python | bark_ml/observers/nearest_state_observer.py | GAIL-4-BARK/bark-ml | c61c897842c2184ee842428e451bae3be2cd7242 | [
"MIT"
] | null | null | null | bark_ml/observers/nearest_state_observer.py | GAIL-4-BARK/bark-ml | c61c897842c2184ee842428e451bae3be2cd7242 | [
"MIT"
] | 24 | 2020-05-05T13:53:17.000Z | 2020-08-13T15:58:51.000Z | bark_ml/observers/nearest_state_observer.py | Brucknem/bark-ml | c61c897842c2184ee842428e451bae3be2cd7242 | [
"MIT"
] | null | null | null | # Copyright (c) 2020 fortiss GmbH
#
# Authors: Patrick Hart, Julian Bernhard, Klemens Esterle, and
# Tobias Kessler
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
from gym import spaces
import numpy as np
from bark.core.models.dynamic import StateDefinition
from bark.core.w... | 40.642857 | 87 | 0.695958 |
33213a4be73ac35815bdbd9bb75226b3fb50e4ac | 56,245 | py | Python | bmediacenter/src/MC_AudioPlayer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | bmediacenter/src/MC_AudioPlayer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | bmediacenter/src/MC_AudioPlayer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | from enigma import eTimer, iServiceInformation, iPlayableService, ePicLoad, RT_VALIGN_CENTER, RT_HALIGN_LEFT, RT_HALIGN_RIGHT, RT_HALIGN_CENTER, gFont, eListbox, ePoint, eListboxPythonMultiContent, eServiceCenter
from Components.MenuList import MenuList
from Screens.Screen import Screen
from Screens.ServiceInfo import ... | 39.918382 | 245 | 0.712952 |
332140cf5fdaa64aaed6f0da317a867d9fa70e55 | 23,928 | py | Python | src/dcos_e2e/_vendor/dcos_launch/config.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | 1 | 2017-07-06T18:27:53.000Z | 2017-07-06T18:27:53.000Z | src/dcos_e2e/_vendor/dcos_launch/config.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | 96 | 2017-06-04T23:29:07.000Z | 2017-09-07T20:10:42.000Z | src/dcos_e2e/_vendor/dcos_launch/config.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | 4 | 2017-06-01T09:58:25.000Z | 2017-08-22T16:32:45.000Z | """ Module for defining and validating user-provided configuration
"""
import logging
import os
import sys
import uuid
import requests
import cerberus
import yaml
from ..dcos_launch import util
from ..dcos_launch.platforms import aws, gcp
log = logging.getLogger(__name__)
def expand_path(path: str, relative_dir: s... | 34.134094 | 120 | 0.57113 |
332155164a6b0e9c1036de0e33060e38c9533730 | 3,408 | py | Python | foresight/environment/azure/azure_environment_info_provider.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 15 | 2021-07-28T08:03:50.000Z | 2021-11-08T08:36:06.000Z | foresight/environment/azure/azure_environment_info_provider.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 1 | 2021-08-08T07:45:45.000Z | 2021-08-08T12:41:36.000Z | foresight/environment/azure/azure_environment_info_provider.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 3 | 2021-08-07T14:19:23.000Z | 2021-12-08T15:35:40.000Z | from uuid import uuid4
from foresight.environment.git.git_helper import GitHelper
from foresight.environment.environment_info import EnvironmentInfo
from foresight.utils.test_runner_utils import TestRunnerUtils
import os, logging
from foresight.utils.generic_utils import print_debug_message_to_console
LOGGER = logging... | 45.44 | 117 | 0.725939 |
33216be9d29ad69f82c1a891e9f5b88f591845c8 | 472 | py | Python | tests/unit/flow/test_slow_executor_shutdown.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 4 | 2021-06-29T04:14:31.000Z | 2021-08-01T07:01:08.000Z | tests/unit/flow/test_slow_executor_shutdown.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 1 | 2021-12-25T09:06:13.000Z | 2021-12-25T09:06:13.000Z | tests/unit/flow/test_slow_executor_shutdown.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 1 | 2021-06-29T17:03:24.000Z | 2021-06-29T17:03:24.000Z | import os
import time
from jina import Flow, Executor
class SlowExecutor(Executor):
def close(self) -> None:
with open(os.path.join(self.metas.workspace, 'test'), 'w') as f:
time.sleep(10)
f.write('x')
def test_slow_executor_close(tmpdir):
with Flow().add(
uses={'jty... | 22.47619 | 87 | 0.601695 |
3321789b884dfc1a34e4625e6294fb5f09d87535 | 2,525 | py | Python | chapter04-bytes-str/sanitize.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | 1 | 2019-11-23T05:57:02.000Z | 2019-11-23T05:57:02.000Z | chapter04-bytes-str/sanitize.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | null | null | null | chapter04-bytes-str/sanitize.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | 1 | 2019-11-23T05:57:43.000Z | 2019-11-23T05:57:43.000Z | """
Radical folding and text sanitizing.
Handling a string with `cp1252` symbols:
>>> order = '“Herr Voß: • ½ cup of Œtker™ caffè latte • bowl of açaí.”'
>>> shave_marks(order)
'“Herr Voß: • ½ cup of Œtker™ caffe latte • bowl of acai.”'
>>> shave_marks_latin(order)
'“Herr Voß: • ½ cup of Œtker™ caff... | 31.17284 | 75 | 0.583762 |
3321b1e3cda35d2f46268bae16471030c3cbe9b3 | 49,489 | py | Python | test/unit/v0/test_bucket.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | test/unit/v0/test_bucket.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | test/unit/v0/test_bucket.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | ######################################################################
#
# File: test/unit/v0/test_bucket.py
#
# Copyright 2019 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
from io import BytesIO
im... | 39.559552 | 101 | 0.621876 |
3321d281a3a2215df4ae1ccb00a5472fa3d28dc3 | 2,187 | py | Python | tests/constraint/test_robust_can_linear.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | tests/constraint/test_robust_can_linear.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | tests/constraint/test_robust_can_linear.py | Puttichai/toppra | 4d7dbfdc0772b72e4cc8283c944baf142357a76e | [
"MIT"
] | null | null | null | import toppra
import pytest
import numpy as np
@pytest.fixture()
def accel_constraint(request):
dof = 5
np.random.seed(0)
alim_ = np.random.rand(5)
alim = np.vstack((-alim_, alim_)).T
constraint = toppra.constraint.JointAccelerationConstraint(alim)
np.random.seed(0)
path = toppra.SplineIn... | 36.45 | 108 | 0.652492 |
3321daff8bf9a7efa4f0aa2f35c14fadfbe4de47 | 33,927 | py | Python | sympy/polys/factortools.py | lemmalearning/sympy | 62ad387ed3f7b243c889dd342296afc9a32ad1ea | [
"BSD-3-Clause"
] | 319 | 2016-09-22T15:54:48.000Z | 2022-03-18T02:36:58.000Z | sympy/polys/factortools.py | shashank-agg/sympy | ecf69893c0b9927ea7192113b2421d639aee6ffb | [
"BSD-3-Clause"
] | 9 | 2016-11-03T21:56:41.000Z | 2020-08-09T19:27:37.000Z | sympy/polys/factortools.py | shashank-agg/sympy | ecf69893c0b9927ea7192113b2421d639aee6ffb | [
"BSD-3-Clause"
] | 27 | 2016-10-06T16:05:32.000Z | 2022-03-18T02:37:00.000Z | """Polynomial factorization routines in characteristic zero. """
from __future__ import print_function, division
from sympy.polys.galoistools import (
gf_from_int_poly, gf_to_int_poly,
gf_lshift, gf_add_mul, gf_mul,
gf_div, gf_rem,
gf_gcdex,
gf_sqf_p,
gf_factor_sqf, gf_factor)
from sympy.poly... | 25.093935 | 80 | 0.519409 |
3321dce29859f4fa766e8552a3da2ae1f9eee721 | 1,647 | py | Python | setup.py | paradoor/gssp_experiments | cfa8781e0654162002fe183948357926950cc247 | [
"MIT"
] | null | null | null | setup.py | paradoor/gssp_experiments | cfa8781e0654162002fe183948357926950cc247 | [
"MIT"
] | null | null | null | setup.py | paradoor/gssp_experiments | cfa8781e0654162002fe183948357926950cc247 | [
"MIT"
] | null | null | null | import mysql.connector
import json
import os
discordpy_command = "python3 -m pip install -U https://github.com/Rapptz/discord.py/archive/rewrite.zip#egg=discord.py"
requirements = "python3 -m pip install -r requirements.txt"
# Load config files
config_f = open("config.json")
config = json.load(config_f)
# Setup disco... | 27.45 | 119 | 0.73224 |
3321fc0fff0292b23378c52bc907f07b24cec284 | 49,373 | py | Python | cinder/volume/drivers/netapp/dataontap/block_base.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/netapp/dataontap/block_base.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/netapp/dataontap/block_base.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012 NetApp, Inc. All rights reserved.
# Copyright (c) 2014 Ben Swartzlander. All rights reserved.
# Copyright (c) 2014 Navneet Singh. All rights reserved.
# Copyright (c) 2014 Clinton Knight. All rights reserved.
# Copyright (c) 2014 Alex Meade. All rights reserved.
# Copyright (c) 2014 Andrew Ker... | 42.055366 | 79 | 0.61167 |
3321ff2496033e23affe22f5852185c314a832ea | 701 | py | Python | tests/models/AutoInt_test.py | whksmo/deep-intent | 2617373cf94fccbe9fc37d50ee010a5c2b8418b0 | [
"MIT"
] | 1 | 2019-07-29T13:33:12.000Z | 2019-07-29T13:33:12.000Z | tests/models/AutoInt_test.py | ocelot43/DeepCTR | 8182ea386e6529a1a2294d8e2d33fc040d0cbfb2 | [
"MIT"
] | 7 | 2019-12-16T22:03:26.000Z | 2022-02-10T00:17:03.000Z | tests/models/AutoInt_test.py | whksmo/deep-intent | 2617373cf94fccbe9fc37d50ee010a5c2b8418b0 | [
"MIT"
] | null | null | null | import pytest
from deepctr.models import AutoInt
from ..utils import check_model, get_test_data,SAMPLE_SIZE
@pytest.mark.parametrize(
'att_layer_num,dnn_hidden_units,sparse_feature_num',
[(1, (), 1), (1, (4,), 1)]#(0, (4,), 2), (2, (4, 4,), 2)
)
def test_AutoInt(att_layer_num, dnn_hidden_units, sparse_feature... | 31.863636 | 95 | 0.713267 |
3322025b3ec8f1ba8711808f03b8de16a0e1a098 | 1,485 | py | Python | src/py_dbutils/rdbms/sqlite.py | cclauss/py-dbutils | ccd901b4cd9fee9480c87aa6386d2025df023ea7 | [
"MIT"
] | 6 | 2021-03-21T23:21:34.000Z | 2022-03-15T03:19:42.000Z | src/py_dbutils/rdbms/sqlite.py | cclauss/py-dbutils | ccd901b4cd9fee9480c87aa6386d2025df023ea7 | [
"MIT"
] | 3 | 2020-03-24T17:00:22.000Z | 2021-03-21T23:25:27.000Z | src/py_dbutils/rdbms/sqlite.py | cclauss/py-dbutils | ccd901b4cd9fee9480c87aa6386d2025df023ea7 | [
"MIT"
] | 3 | 2021-03-21T23:16:52.000Z | 2022-02-04T21:53:11.000Z | from ..parents import ConnRDBMS
from ..parents import DB as ParentDB
import sqlalchemy
import sys
import os
import logging as lg
import sqlite3
lg.basicConfig()
logging = lg.getLogger(__name__)
class DB(ConnRDBMS, ParentDB):
# get from here:
# https://docs.sqlalchemy.org/en/latest/core/engines.html
sql_... | 31.595745 | 102 | 0.645791 |
33221097eb066397e79f1e30c1fefb5408f0e8b0 | 408 | py | Python | django_learning/updates/models.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | django_learning/updates/models.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | django_learning/updates/models.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | from django.db import models
from django.urls import reverse
class OwnerUpdate(models.Model):
update_title = models.CharField(max_length=100)
content = models.TextField()
update_type = models.BooleanField(default=False)
def __str__(self):
return "Update " + str(self.id)
def get_abs... | 29.142857 | 71 | 0.698529 |
332269a7484265e19933932a88a30e5229b4ad5b | 30,967 | py | Python | mergin/client_pull.py | pasquierjb/mergin-py-client | 45e50d34cca5a8a2d7ce7b6dc738e64bfe2f80f4 | [
"MIT"
] | null | null | null | mergin/client_pull.py | pasquierjb/mergin-py-client | 45e50d34cca5a8a2d7ce7b6dc738e64bfe2f80f4 | [
"MIT"
] | null | null | null | mergin/client_pull.py | pasquierjb/mergin-py-client | 45e50d34cca5a8a2d7ce7b6dc738e64bfe2f80f4 | [
"MIT"
] | null | null | null | """
To download projects asynchronously. Start download: (does not block)
job = download_project_async(mergin_client, 'user/project', '/tmp/my_project)
Then we need to wait until we are finished downloading - either by periodically
calling download_project_is_running(job) that will just return True/False or by callin... | 41.124834 | 151 | 0.669616 |
3322771933cc933684280cb64741e2e8b7a574d9 | 3,269 | py | Python | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2021-09-07T18:39:05.000Z | 2021-09-07T18:39:05.000Z | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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 ... | 48.073529 | 130 | 0.70572 |
3322af778e996374461abc48d82bd85d64cd63c0 | 7,735 | py | Python | scripts/train.py | spotify-research/cosernn | 057de1090eeb84a1f0bd5d9954bd41ed437e398d | [
"Apache-2.0"
] | 18 | 2020-10-12T13:20:45.000Z | 2022-03-17T17:40:23.000Z | scripts/train.py | spotify-research/cosernn | 057de1090eeb84a1f0bd5d9954bd41ed437e398d | [
"Apache-2.0"
] | 2 | 2021-12-16T14:13:59.000Z | 2022-03-24T15:15:20.000Z | scripts/train.py | spotify-research/cosernn | 057de1090eeb84a1f0bd5d9954bd41ed437e398d | [
"Apache-2.0"
] | 4 | 2021-02-04T08:53:38.000Z | 2022-02-07T02:04:41.000Z | # Copyright 2020 Spotify AB
# 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... | 44.2 | 193 | 0.681965 |
3322ff088daf6672f204f3fb1eedfef2c3a6cf90 | 687 | py | Python | setup.py | CMB-NCSA/spt3g_ingest | e8ab1b5c9abdc705f5b1f4e0a93a3044b71d6209 | [
"Apache-2.0"
] | null | null | null | setup.py | CMB-NCSA/spt3g_ingest | e8ab1b5c9abdc705f5b1f4e0a93a3044b71d6209 | [
"Apache-2.0"
] | null | null | null | setup.py | CMB-NCSA/spt3g_ingest | e8ab1b5c9abdc705f5b1f4e0a93a3044b71d6209 | [
"Apache-2.0"
] | null | null | null | from distutils.core import setup
import glob
# Get the scripts/bin files
bin_files = glob.glob("bin/*")
# Build the structure for etc folder
etc_dirs = ['etc']
data_files = [("", ["setpath.sh"])]
# In case we want files in etc
# for edir in etc_dirs:
# data_files.append((edir, glob.glob("{}/*".format(edir))))
# T... | 25.444444 | 62 | 0.636099 |
33233de047ecd2c246b5e21bce35b164693cc87e | 1,201 | py | Python | rlberry/agents/torch/tests/test_torch_training.py | akrouriad/rlberry | dde4e2cbafca05fdef1df07646bb6368059eeadf | [
"MIT"
] | null | null | null | rlberry/agents/torch/tests/test_torch_training.py | akrouriad/rlberry | dde4e2cbafca05fdef1df07646bb6368059eeadf | [
"MIT"
] | null | null | null | rlberry/agents/torch/tests/test_torch_training.py | akrouriad/rlberry | dde4e2cbafca05fdef1df07646bb6368059eeadf | [
"MIT"
] | null | null | null | from rlberry.agents.torch.utils.training import loss_function_factory, optimizer_factory
from torch.nn import functional as F
from rlberry.envs.benchmarks.ball_exploration.ball2d import get_benchmark_env
from rlberry.agents.torch.utils.models import default_policy_net_fn
# loss_function_factory
assert isinstance(loss_... | 32.459459 | 88 | 0.761032 |
33237563d3eda5ac3ec5b4ece99660640d025fb2 | 4,136 | py | Python | self_attention.py | steffenvan/bachelor-thesis | 1472ce1ba32c107e25d4c5cc2ac64edfc04ba1ff | [
"Apache-2.0"
] | 2 | 2019-11-20T09:14:01.000Z | 2021-12-22T10:58:34.000Z | self_attention.py | steffenvan/attentive-MT | 1472ce1ba32c107e25d4c5cc2ac64edfc04ba1ff | [
"Apache-2.0"
] | null | null | null | self_attention.py | steffenvan/attentive-MT | 1472ce1ba32c107e25d4c5cc2ac64edfc04ba1ff | [
"Apache-2.0"
] | 3 | 2019-11-18T01:11:14.000Z | 2020-03-21T00:18:31.000Z | import tensorflow as tf
def split_heads_2d(inputs, num_heads):
s = inputs.shape[:-1]
ret_shape = [-1, s[1], s[2], num_heads, inputs.shape[-1] // num_heads]
split = tf.reshape(inputs, ret_shape)
return tf.transpose(split, [0, 3, 1, 2, 4])
def combine_heads_2d(inputs):
# inputs: [batch, num_heads, ... | 42.204082 | 119 | 0.656431 |
332399683249ecf51db201cb7ff2b773c7e0f25e | 565 | py | Python | hs_core/migrations/0039_doi_url.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_core/migrations/0039_doi_url.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_core/migrations/0039_doi_url.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | # -*- coding: utf-8 -*-
from hs_core.models import Identifier
from django.db import migrations
def remove_dx(apps, schema_editor):
for id in Identifier.objects.filter(url__startswith='http://dx.'):
id.url = id.url.replace('http://dx.', 'https://')
id.save()
def backwards(apps, schema_edi... | 21.730769 | 70 | 0.646018 |
3323a24543c548f6d4980528685af745580acd30 | 1,260 | py | Python | reinvent_models/link_invent/model_vocabulary/paired_model_vocabulary.py | GT4SD/-reinvent_models | e1cf00d1b24fe5f39354e34829adc25460da84e2 | [
"MIT"
] | null | null | null | reinvent_models/link_invent/model_vocabulary/paired_model_vocabulary.py | GT4SD/-reinvent_models | e1cf00d1b24fe5f39354e34829adc25460da84e2 | [
"MIT"
] | 1 | 2022-03-07T12:18:00.000Z | 2022-03-07T12:18:00.000Z | reinvent_models/link_invent/model_vocabulary/paired_model_vocabulary.py | GT4SD/reinvent_models | e1cf00d1b24fe5f39354e34829adc25460da84e2 | [
"MIT"
] | null | null | null | from typing import List
from reinvent_models.link_invent.model_vocabulary.vocabulary import SMILESTokenizer, Vocabulary
from reinvent_models.link_invent.model_vocabulary.model_vocabulary import ModelVocabulary
class PairedModelVocabulary:
def __init__(self, input_vocabulary: Vocabulary, input_tokenizer: S... | 43.448276 | 96 | 0.730159 |
3323bea588e391c38b53a31f978dd08c0d320aa0 | 1,992 | py | Python | lewis_emulators/linmot/interfaces/stream_interface.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 2 | 2020-10-20T16:49:13.000Z | 2021-02-19T10:41:44.000Z | lewis_emulators/linmot/interfaces/stream_interface.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 9 | 2019-03-22T15:35:15.000Z | 2021-07-28T11:05:43.000Z | lewis_emulators/linmot/interfaces/stream_interface.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 1 | 2020-10-21T17:02:44.000Z | 2020-10-21T17:02:44.000Z | from lewis.adapters.stream import StreamInterface
from lewis.utils.command_builder import CmdBuilder
class LinmotStreamInterface(StreamInterface):
in_terminator = "\r\n"
out_terminator = "\r"
# Commands that we expect via serial during normal operation
commands = {
CmdBuilder("set_posit... | 39.058824 | 108 | 0.673193 |
3323e1ba204041bfa49b9640361c4a72106c282f | 828 | py | Python | demonet/models/backbone_utils.py | zhiqwang/demonet | 8370fc41d56d28939403b883f4b4014172895781 | [
"Apache-2.0"
] | 11 | 2020-08-28T09:29:42.000Z | 2021-10-03T09:08:11.000Z | demonet/models/backbone_utils.py | vanillapi/demonet | 8370fc41d56d28939403b883f4b4014172895781 | [
"Apache-2.0"
] | 1 | 2020-05-01T14:57:57.000Z | 2020-05-01T17:59:40.000Z | demonet/models/backbone_utils.py | zhiqwang/demonet | 8370fc41d56d28939403b883f4b4014172895781 | [
"Apache-2.0"
] | 3 | 2020-04-15T07:53:13.000Z | 2020-05-18T18:51:31.000Z | import warnings
def _validate_trainable_layers(pretrained, trainable_backbone_layers, max_value, default_value):
# dont freeze any layers if pretrained model or backbone is not used
if not pretrained:
if trainable_backbone_layers is not None:
warnings.warn(
"Changing traina... | 43.578947 | 114 | 0.729469 |
3324150da84dad305d2509c82917a26ecabf792e | 126,058 | py | Python | Tensorflow_OpenCV_Nightly/source/tensorflow/python/ops/gen_data_flow_ops.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2017-12-05T15:35:47.000Z | 2017-12-05T15:35:47.000Z | Tensorflow_OpenCV_Nightly/source/tensorflow/python/ops/gen_data_flow_ops.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 10 | 2017-07-13T00:24:03.000Z | 2017-07-17T07:39:03.000Z | Tensorflow_OpenCV_Nightly/source/tensorflow/python/ops/gen_data_flow_ops.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 7 | 2017-08-01T04:02:07.000Z | 2018-10-06T21:07:20.000Z | """Python wrappers around TensorFlow ops.
This file is MACHINE GENERATED! Do not edit.
"""
import collections as _collections
from google.protobuf import text_format as _text_format
from tensorflow.core.framework import op_def_pb2 as _op_def_pb2
# Needed to trigger the call to _set_call_cpp_shape_fn.
from tensorfl... | 26.549705 | 208 | 0.636715 |
33244f48c9784f91bf681fbaf1ac0961dad494dc | 20,260 | py | Python | dame.py | johnarban/arban | dcd2d0838f72c39bf3a52aabfa74d6ea28933d02 | [
"MIT"
] | null | null | null | dame.py | johnarban/arban | dcd2d0838f72c39bf3a52aabfa74d6ea28933d02 | [
"MIT"
] | null | null | null | dame.py | johnarban/arban | dcd2d0838f72c39bf3a52aabfa74d6ea28933d02 | [
"MIT"
] | null | null | null | import numpy as np
from math import floor,ceil,sqrt
import matplotlib as mpl
import matplotlib.pyplot as plt
from scipy import ndimage
from scipy.stats import rv_histogram
from importlib import reload
from astropy.io import fits
from astropy.convolution import convolve, kernels
from astropy.table import Table
from as... | 28.335664 | 156 | 0.571964 |
3324d5e85232c908b721db1e73dcbd20d2cb0a50 | 5,365 | py | Python | ward/expect.py | jayeshathila/ward | 966c3a61dc663b06aebc7d28a9acb9909d4f5810 | [
"MIT"
] | null | null | null | ward/expect.py | jayeshathila/ward | 966c3a61dc663b06aebc7d28a9acb9909d4f5810 | [
"MIT"
] | null | null | null | ward/expect.py | jayeshathila/ward | 966c3a61dc663b06aebc7d28a9acb9909d4f5810 | [
"MIT"
] | null | null | null | import inspect
import types
from enum import Enum
from typing import Type, Any, ContextManager, TypeVar, Generic, Optional, cast
_E = TypeVar("_E", bound=Exception)
class raises(Generic[_E], ContextManager["raises[_E]"]):
raised: _E
def __init__(self, expected_ex_type: Type[_E]):
self.expected_ex_ty... | 28.089005 | 97 | 0.59329 |
332522e36789de6ffcf2e3b70760472cbb8016ea | 1,001 | py | Python | sumoProject/SAC/try_modules.py | szkLaszlo/RLHighWay | 2ea752265bc89618e736089475cb4706ead8fe92 | [
"MIT"
] | 1 | 2021-08-29T09:12:29.000Z | 2021-08-29T09:12:29.000Z | sumoProject/SAC/try_modules.py | szkLaszlo/RLHighWay | 2ea752265bc89618e736089475cb4706ead8fe92 | [
"MIT"
] | null | null | null | sumoProject/SAC/try_modules.py | szkLaszlo/RLHighWay | 2ea752265bc89618e736089475cb4706ead8fe92 | [
"MIT"
] | null | null | null | from sumoProject.SAC.model import ImageEncoder, ImageDecoder, LSTMPredictor
import torch
kernel_size = (7, 3)
padding = (3, 1)
input_image_size = (3, 180, 18)
max_pool = (2, 2)
hidden_channels = 128
hidden_lstm = 256
batch_size = 64
sample_image = torch.ones(input_image_size)
sample_batch_image = torch.stack([sample_... | 37.074074 | 106 | 0.75025 |
332565d8debe6e9a893e19b9c1e7838ed8e24985 | 4,192 | py | Python | asyncy/Logger.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | asyncy/Logger.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | asyncy/Logger.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from logging import LoggerAdapter, getLevelName
from frustum import Frustum
from google.auth.exceptions import DefaultCredentialsError
from google.cloud import logging
from google.cloud.logging.handlers.transports.background_thread \
import BackgroundThreadTransport
from google.cloud.loggi... | 36.452174 | 79 | 0.595658 |
3325683ea5a436408f4272716607dc32413fa1cf | 500 | py | Python | two-pointers/0167-two-sum-ii-input-array-is-sorted（双指针）.py | ZHUANGHP/LeetCode-Solution-Python | af2b14abb7f50ee061bcd601c8666b32e448cbd8 | [
"Apache-2.0"
] | 1 | 2021-01-10T17:03:21.000Z | 2021-01-10T17:03:21.000Z | two-pointers/0167-two-sum-ii-input-array-is-sorted（双指针）.py | ZHUANGHP/LeetCode-Solution-Python | af2b14abb7f50ee061bcd601c8666b32e448cbd8 | [
"Apache-2.0"
] | null | null | null | two-pointers/0167-two-sum-ii-input-array-is-sorted（双指针）.py | ZHUANGHP/LeetCode-Solution-Python | af2b14abb7f50ee061bcd601c8666b32e448cbd8 | [
"Apache-2.0"
] | 1 | 2021-07-25T07:53:14.000Z | 2021-07-25T07:53:14.000Z | from typing import List
class Solution:
def twoSum(self, numbers: List[int], target: int) -> List[int]:
size = len(numbers)
if size < 2:
return []
left = 0
right = size - 1
while left < right:
if numbers[left] + numbers[right] == target:
... | 26.315789 | 67 | 0.468 |
33259000eb7924588cd659fe0cf7ad26717ca743 | 9,850 | py | Python | Yet-Another-EfficientDet-Pytorch/efficientnet/model.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | Yet-Another-EfficientDet-Pytorch/efficientnet/model.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | Yet-Another-EfficientDet-Pytorch/efficientnet/model.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | import torch
from torch import nn
from torch.nn import functional as F
from .utils import (
round_filters,
round_repeats,
drop_connect,
get_same_padding_conv2d,
get_model_params,
efficientnet_params,
load_pretrained_weights,
Swish,
MemoryEfficientSwish,
)
class MBConvBlock(nn.Modul... | 41.386555 | 107 | 0.671675 |
3325ce1805b4847fae8af67aa95b3331af282eb7 | 5,046 | py | Python | src/python/pants/base/payload_field.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | 1 | 2021-05-05T18:58:28.000Z | 2021-05-05T18:58:28.000Z | src/python/pants/base/payload_field.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | null | null | null | src/python/pants/base/payload_field.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | 3 | 2020-06-30T08:28:13.000Z | 2021-07-28T09:35:57.000Z | # Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from abc import ABC, abstractmethod
from hashlib import sha1
from typing import ClassVar, Optional
from twitter.common.collections import OrderedSet
from pants.base.hash_utils import sta... | 26.698413 | 98 | 0.673008 |
33260497f080008a12f074ee49f2ea16acc94c32 | 2,574 | py | Python | ucscsdk/mometa/adaptor/AdaptorVmmqConnDef.py | CiscoUcs/ucscsdk | b582df77e3cf8bc4c48347e3d67f8cffa62f78c4 | [
"Apache-2.0"
] | 9 | 2016-12-22T08:39:25.000Z | 2019-09-10T15:36:19.000Z | ucscsdk/mometa/adaptor/AdaptorVmmqConnDef.py | CiscoUcs/ucscsdk | b582df77e3cf8bc4c48347e3d67f8cffa62f78c4 | [
"Apache-2.0"
] | 10 | 2017-01-31T06:59:56.000Z | 2021-11-09T09:14:37.000Z | ucscsdk/mometa/adaptor/AdaptorVmmqConnDef.py | CiscoUcs/ucscsdk | b582df77e3cf8bc4c48347e3d67f8cffa62f78c4 | [
"Apache-2.0"
] | 13 | 2016-11-14T07:42:58.000Z | 2022-02-10T17:32:05.000Z | """This module contains the general information for AdaptorVmmqConnDef ManagedObject."""
from ...ucscmo import ManagedObject
from ...ucsccoremeta import UcscVersion, MoPropertyMeta, MoMeta
from ...ucscmeta import VersionMeta
class AdaptorVmmqConnDefConsts():
pass
class AdaptorVmmqConnDef(ManagedObject):
""... | 54.765957 | 418 | 0.687646 |
332636ec98bdb863bcd192e3bc9e519c6213d7e4 | 4,322 | py | Python | src/regnet/data/kitti/make_decalib.py | markrofail/multi-modal-deep-learning-for-vehicle-sensor-data-abstraction-and-attack-detection | 2f252c072f3091bb27506978dd90311f7f82f386 | [
"MIT"
] | null | null | null | src/regnet/data/kitti/make_decalib.py | markrofail/multi-modal-deep-learning-for-vehicle-sensor-data-abstraction-and-attack-detection | 2f252c072f3091bb27506978dd90311f7f82f386 | [
"MIT"
] | 6 | 2020-09-25T22:41:00.000Z | 2021-06-08T21:50:37.000Z | src/regnet/data/kitti/make_decalib.py | markrofail/multi-modal-deep-learning-for-vehicle-sensor-data-abstraction-and-attack-detection | 2f252c072f3091bb27506978dd90311f7f82f386 | [
"MIT"
] | null | null | null | import multiprocessing
import numpy as np
from joblib import Parallel, delayed
from tqdm import tqdm
from src.helpers import paths
from src.helpers.flags import Verbose
from src.regnet.helpers import kitti_foundation, quaternion
###############################################################################
# DECALI... | 33.503876 | 108 | 0.648542 |
33268287ec99989b51b22257253ad3b2373d6a62 | 636 | py | Python | palm/plugins/dbt/commands/cmd_containerize.py | jakeberesford-palmetto/palm-dbt | 18cd297ac56eedc31976de8b971a1407e51614fe | [
"Apache-2.0"
] | 17 | 2021-11-10T21:20:31.000Z | 2022-01-31T22:14:31.000Z | palm/plugins/dbt/commands/cmd_containerize.py | jakeberesford-palmetto/palm-dbt | 18cd297ac56eedc31976de8b971a1407e51614fe | [
"Apache-2.0"
] | 15 | 2021-11-16T15:39:50.000Z | 2022-03-28T19:38:39.000Z | palm/plugins/dbt/commands/cmd_containerize.py | jakeberesford-palmetto/palm-dbt | 18cd297ac56eedc31976de8b971a1407e51614fe | [
"Apache-2.0"
] | 7 | 2021-11-23T23:00:14.000Z | 2022-03-03T01:53:18.000Z | from typing import Optional
import click
from pathlib import Path
from palm.plugins.dbt.dbt_containerizer import DbtContainerizer
@click.command("containerize")
@click.option(
"--version",
multiple=False,
help="dbt version to use (e.g. 0.21.0)",
)
@click.pass_context
def cli(ctx, version: Optional[str]):
... | 30.285714 | 86 | 0.713836 |
33268d41037c7134bb2a0a544fa11871e6b9b86d | 527 | py | Python | gerapy/cmd/init.py | awesome-archive/Gerapy | e9792d020397cd85b4d553b91b7829078b728b98 | [
"MIT"
] | 1 | 2018-12-07T02:05:32.000Z | 2018-12-07T02:05:32.000Z | gerapy/cmd/init.py | Tilyp/Gerapy | e9792d020397cd85b4d553b91b7829078b728b98 | [
"MIT"
] | null | null | null | gerapy/cmd/init.py | Tilyp/Gerapy | e9792d020397cd85b4d553b91b7829078b728b98 | [
"MIT"
] | null | null | null | import os
from os.path import join
PROJECTS_FOLDER = 'projects'
def init(folder):
if not folder:
folder = 'gerapy'
# execute path
execute_path = os.getcwd()
folder_path = join(execute_path, folder)
# make folder dir, default to gerapy
if not os.path.exists(folder_path):
os.mkdi... | 25.095238 | 56 | 0.679317 |
3326c48517877f1ca723d219d3f6d624b3f96eb9 | 2,511 | py | Python | mtools/test/test_mplotqueries.py | nonomal/mtools | 419f159dd1a7e608daafa9959b20fd71e1684fad | [
"Apache-2.0"
] | 1,522 | 2015-01-04T01:00:47.000Z | 2022-03-31T14:12:40.000Z | mtools/test/test_mplotqueries.py | nonomal/mtools | 419f159dd1a7e608daafa9959b20fd71e1684fad | [
"Apache-2.0"
] | 444 | 2015-01-07T02:06:27.000Z | 2022-03-31T09:03:13.000Z | mtools/test/test_mplotqueries.py | nonomal/mtools | 419f159dd1a7e608daafa9959b20fd71e1684fad | [
"Apache-2.0"
] | 361 | 2015-01-04T01:00:51.000Z | 2022-03-17T13:50:59.000Z | import sys
from datetime import datetime, timedelta
from random import randrange
from dateutil import parser
from nose.plugins.skip import SkipTest
from nose.tools import raises
import os
import mtools
from mtools.mplotqueries.mplotqueries import MPlotQueriesTool
from mtools.util.logevent import LogEvent
from mtools... | 43.293103 | 102 | 0.694544 |
3326c81f0cc4db798d631fe56ad59da332189c0a | 3,123 | py | Python | app/core/tests/test_models.py | AitorPo/recipe-app-api | abb9d1774735c78d5fac0ebc20e727ad1a4851c7 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | AitorPo/recipe-app-api | abb9d1774735c78d5fac0ebc20e727ad1a4851c7 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | AitorPo/recipe-app-api | abb9d1774735c78d5fac0ebc20e727ad1a4851c7 | [
"MIT"
] | null | null | null |
from unittest.mock import patch
from django.test import TestCase
from django.contrib.auth import get_user_model
from core import models
# helper function to create users
def sample_user(email='test@correo.com', password='testpass'):
"""Create a sample user"""
return get_user_model().objects.creat... | 33.945652 | 74 | 0.6244 |
3326c8c518ecc7702c2363156f335ba560c8308b | 1,191 | py | Python | test_miris_join.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | test_miris_join.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | test_miris_join.py | splitter-research/splitter | 94e5e3073b4f383ba50397168ddb8bcd5fc48da4 | [
"MIT"
] | null | null | null | import sys
from splitter.simple_manager.manager import *
import json
from splitter.dataflow.xform import *
from splitter.utils.ui import play, overlay
if len(sys.argv) < 3:
print("Enter video filepath as argv[1], JSON filepath as argv[2]")
exit(1)
v = VideoStream(sys.argv[1])
with open(sys.argv[2], 'r') as... | 27.697674 | 147 | 0.596977 |
3326cda8874165c34e7a1d0122abbdcf2cce3bdd | 297 | py | Python | engine/controllers/start_match.py | pitzer42/micro-tcg | eec416fb3b7b992a206ab900f3d85d172f494103 | [
"MIT"
] | null | null | null | engine/controllers/start_match.py | pitzer42/micro-tcg | eec416fb3b7b992a206ab900f3d85d172f494103 | [
"MIT"
] | 2 | 2019-06-25T02:15:10.000Z | 2019-06-25T02:22:14.000Z | engine/controllers/start_match.py | pitzer42/micro-tcg | eec416fb3b7b992a206ab900f3d85d172f494103 | [
"MIT"
] | 1 | 2019-06-12T00:35:41.000Z | 2019-06-12T00:35:41.000Z | from engine.io.client_connection import ClientConnection
from engine.models.waiting_list import WaitingList
async def play_next_match(
player: ClientConnection,
waiting_list: WaitingList,
game_loop):
await waiting_list.next_group(player)
await game_loop(player)
| 24.75 | 56 | 0.760943 |
3326d05b81a8a2e07d92c9349fda83ba7577e345 | 4,567 | py | Python | src/nitpick/style/fetchers/github.py | camresp/nitpick | c922dcde1c1e650234343e03bb872cac6500e7b1 | [
"MIT"
] | 251 | 2019-08-06T08:50:01.000Z | 2022-03-26T13:49:19.000Z | src/nitpick/style/fetchers/github.py | camresp/nitpick | c922dcde1c1e650234343e03bb872cac6500e7b1 | [
"MIT"
] | 429 | 2019-06-07T09:12:52.000Z | 2022-03-31T23:29:26.000Z | src/nitpick/style/fetchers/github.py | camresp/nitpick | c922dcde1c1e650234343e03bb872cac6500e7b1 | [
"MIT"
] | 18 | 2019-08-12T14:16:28.000Z | 2022-03-15T13:54:26.000Z | """Support for ``gh`` and ``github`` schemes."""
from dataclasses import dataclass
from enum import Enum
from functools import lru_cache
from typing import Tuple
from urllib.parse import urlparse
from requests import Session, get as requests_get
from nitpick.constants import GIT_AT_REFERENCE
from nitpick.style.fetche... | 34.338346 | 116 | 0.663893 |
3326ee065b97d6444c5d81f60e2fc8c2e937b2bb | 5,743 | py | Python | trainable/epoch.py | hiltonjp/trainable | 3b1432c9c816285680f14e292eaef26cdbe213cf | [
"MIT"
] | 1 | 2018-12-17T19:38:00.000Z | 2018-12-17T19:38:00.000Z | trainable/epoch.py | hiltonjp/trainable | 3b1432c9c816285680f14e292eaef26cdbe213cf | [
"MIT"
] | null | null | null | trainable/epoch.py | hiltonjp/trainable | 3b1432c9c816285680f14e292eaef26cdbe213cf | [
"MIT"
] | null | null | null | from collections import defaultdict
from statistics import mean
class Epoch(object):
"""Training epoch base class.
Usually an epoch just consists of running data
through the model in batches. But just in case,
this base class offers a bit more flexibility.
Subclassing:
Example::
>>>... | 35.670807 | 120 | 0.477277 |
332714d385efec3eedac966ac935ea50e6761b0f | 1,195 | py | Python | pgpem/sim_blocks_pgpem.py | fraspass/lsbm | 5b24c4a2f4357de238f8ef448ea3f33ef21b7fb8 | [
"MIT"
] | 1 | 2021-08-28T09:12:46.000Z | 2021-08-28T09:12:46.000Z | pgpem/sim_blocks_pgpem.py | fraspass/lsbm | 5b24c4a2f4357de238f8ef448ea3f33ef21b7fb8 | [
"MIT"
] | null | null | null | pgpem/sim_blocks_pgpem.py | fraspass/lsbm | 5b24c4a2f4357de238f8ef448ea3f33ef21b7fb8 | [
"MIT"
] | 1 | 2021-08-22T14:46:33.000Z | 2021-08-22T14:46:33.000Z | #! /usr/bin/env python3
import numpy as np
from sklearn.metrics import adjusted_rand_score as ari
import lsbm
import pgpem
# Set random seed for reproducibility
np.random.seed(171)
# Load data
z = np.load('../data/block_sim/z.npy')
X_sbm = np.load('../data/block_sim/X_sbm.npy'); A_sbm = np.load('../data/block_sim/A_s... | 37.34375 | 102 | 0.716318 |
3327184a319cf4f71ae633d1b8788c6adf49c143 | 1,188 | py | Python | tests/tests/test_unit/test_detect/test_filters/test_volume_filters/test_structure_detection.py | npeschke/cellfinder-core | 7a86a7d2c879c94da529ec6140f7e5c3f02bf288 | [
"BSD-3-Clause"
] | 5 | 2021-01-22T11:40:01.000Z | 2021-09-10T07:16:05.000Z | tests/tests/test_unit/test_detect/test_filters/test_volume_filters/test_structure_detection.py | npeschke/cellfinder-core | 7a86a7d2c879c94da529ec6140f7e5c3f02bf288 | [
"BSD-3-Clause"
] | 38 | 2021-01-22T11:50:29.000Z | 2022-03-11T11:04:06.000Z | tests/tests/test_unit/test_detect/test_filters/test_volume_filters/test_structure_detection.py | npeschke/cellfinder-core | 7a86a7d2c879c94da529ec6140f7e5c3f02bf288 | [
"BSD-3-Clause"
] | 12 | 2021-06-18T09:57:24.000Z | 2022-03-06T13:03:18.000Z | import pytest
import numpy as np
from cellfinder_core.detect.filters.volume import structure_detection
def test_get_non_zero_ull_min():
assert (
structure_detection.get_non_zero_ull_min_wrapper(list(range(10))) == 1
)
assert (
structure_detection.get_non_zero_ull_min_wrapper([0] * 10)
... | 22.415094 | 78 | 0.559764 |
33272a71abe98dabd2861d6b128db6acc87e92f2 | 24,213 | py | Python | maps/python/fitsio.py | CMB-S4/spt3g_software | 33ff1759d2de0c942122a54ea50f19864e5f0430 | [
"BSD-2-Clause"
] | 6 | 2017-05-03T15:37:55.000Z | 2019-05-29T17:14:48.000Z | maps/python/fitsio.py | CMB-S4/spt3g_software | 33ff1759d2de0c942122a54ea50f19864e5f0430 | [
"BSD-2-Clause"
] | 36 | 2017-09-25T20:05:41.000Z | 2022-03-25T18:57:57.000Z | maps/python/fitsio.py | CMB-S4/spt3g_software | 33ff1759d2de0c942122a54ea50f19864e5f0430 | [
"BSD-2-Clause"
] | 10 | 2017-09-25T18:54:11.000Z | 2020-05-17T19:55:57.000Z | from spt3g import core
from spt3g.maps import HealpixSkyMap, FlatSkyMap, G3SkyMapWeights
from spt3g.maps import MapPolType, MapPolConv, MapCoordReference, MapProjection
import numpy as np
import os
import warnings
__all__ = [
'load_skymap_fits',
'save_skymap_fits',
'SaveMapFrame',
]
@core.usefulfunc
def... | 33.675939 | 95 | 0.508033 |
33274ee1375f5e1ecdebf6d5b7ba20a3b1644e92 | 326 | py | Python | doc/python_study_code/superclass.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | doc/python_study_code/superclass.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | doc/python_study_code/superclass.py | beiliwenxiao/vimrc | eb38fc769f3f5f78000060dac674b5c49d63c24c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
class Calculator:
def calculate(self, expression):
self.value = eval(expression)
class Talker:
def talk(self):
print 'Hi, my value is', self.value
class TalkingCalculator(Calculator, Talker):
pass
tc = TalkingCalculator()
tc.calculate('1+20*20')
tc.tal... | 17.157895 | 44 | 0.671779 |
33277501472c9a0e65433f0bbd10f0875dbda0ad | 18,335 | py | Python | SciFiReaders/readers/microscopy/spm/afm/pifm.py | itsalexis962/SciFiReaders | 483b228d1f79aafac85cbadd4d0aea488b563902 | [
"MIT"
] | 8 | 2021-05-07T00:59:39.000Z | 2021-12-10T21:03:59.000Z | SciFiReaders/readers/microscopy/spm/afm/pifm.py | itsalexis962/SciFiReaders | 483b228d1f79aafac85cbadd4d0aea488b563902 | [
"MIT"
] | 31 | 2021-02-19T21:16:25.000Z | 2022-03-04T22:28:09.000Z | SciFiReaders/readers/microscopy/spm/afm/pifm.py | itsalexis962/SciFiReaders | 483b228d1f79aafac85cbadd4d0aea488b563902 | [
"MIT"
] | 6 | 2021-05-07T01:48:09.000Z | 2022-01-21T21:14:36.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 13 21:46:14 2021
@author: Raj
"""
import sidpy as sid
from sidpy.sid import Reader
from sidpy.sid import Dimension
import os
import numpy as np
import h5py
from pyNSID.io.hdf_io import write_nsid_dataset
from pyNSID.io.hdf_io import create_indexed_group, write_simple_a... | 42.344111 | 119 | 0.542951 |
3327783ee93bee7171178303a1c294385407288d | 1,838 | py | Python | leetcode_python/Math/number-of-steps-to-reduce-a-number-to-zero.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Math/number-of-steps-to-reduce-a-number-to-zero.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Math/number-of-steps-to-reduce-a-number-to-zero.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | """
1342. Number of Steps to Reduce a Number to Zero
Easy
Given an integer num, return the number of steps to reduce it to zero.
In one step, if the current number is even, you have to divide it by 2, otherwise, you have to subtract 1 from it.
Example 1:
Input: num = 14
Output: 6
Explanation:
Step 1) 14 is eve... | 20.651685 | 114 | 0.550598 |
33278e827d8c1f50738397356736b30628ca6407 | 796 | py | Python | alipay/aop/api/response/AlipayOverseasTransferCancelResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipayOverseasTransferCancelResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipayOverseasTransferCancelResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayOverseasTransferCancelResponse(AlipayResponse):
def __init__(self):
super(AlipayOverseasTransferCancelResponse, self).__init__()
self._pass_through_info = None
... | 30.615385 | 109 | 0.743719 |
332799379c63101530113fe1f5144815c62de8c7 | 993 | py | Python | users/urls.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | users/urls.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | users/urls.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from users import views
from cms.views import user_table
urlpatterns = [
url(r'^home', views.home_user, name = 'home_user'),
url(r'^profile/change_username', views.update_user_username, name = 'web_change_username'),
url(r'^profile/change_email', views.update_user_email, na... | 58.411765 | 95 | 0.739174 |
3327a9f9a613bfb56e6a25af0fe1c0ca18609035 | 7,284 | py | Python | tensorflow/contrib/keras/api/keras/layers/__init__.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/contrib/keras/api/keras/layers/__init__.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/contrib/keras/api/keras/layers/__init__.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 26 | 2017-04-12T16:25:44.000Z | 2018-10-30T10:10:15.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 48.885906 | 80 | 0.849259 |
3327ca6cadd6e3ce435ae109f1ccd116bd0f1b9c | 761 | py | Python | Task1C.py | dhanishpatel512/FloodWarningSystem86 | 9bf3f2b0858ad5073b717b215afa3c85e81a8216 | [
"MIT"
] | 1 | 2022-02-11T20:28:24.000Z | 2022-02-11T20:28:24.000Z | Task1C.py | dhanishpatel512/FloodWarningSystem86 | 9bf3f2b0858ad5073b717b215afa3c85e81a8216 | [
"MIT"
] | null | null | null | Task1C.py | dhanishpatel512/FloodWarningSystem86 | 9bf3f2b0858ad5073b717b215afa3c85e81a8216 | [
"MIT"
] | null | null | null | from floodsystem.geo import stations_within_radius
from floodsystem.stationdata import build_station_list
def run():
"""Requirements for Task 1C"""
stations_within_10k_names = []
# Cambridge City Centre coordinates
cambridge_city_centre = (52.2053, 0.1218)
# Build list of stations
stations ... | 23.78125 | 84 | 0.722733 |
3327cf2c63423cc771e269c67bf296ea10e80958 | 1,788 | py | Python | problem-sets/03-regression-discontinuity-design/sources/auxiliary.py | milakis/microeconometrics | 6ede1eceb25e578b3109c03d35f26d34d41777aa | [
"MIT"
] | null | null | null | problem-sets/03-regression-discontinuity-design/sources/auxiliary.py | milakis/microeconometrics | 6ede1eceb25e578b3109c03d35f26d34d41777aa | [
"MIT"
] | null | null | null | problem-sets/03-regression-discontinuity-design/sources/auxiliary.py | milakis/microeconometrics | 6ede1eceb25e578b3109c03d35f26d34d41777aa | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import LeaveOneOut
from sklearn.model_selection import cross_val_score
# create two dataframes on either side of the cutoff alligned with your code
df = pd.read_stata("../data/individ_final.dta")
bins... | 39.733333 | 86 | 0.683445 |
3327d3171a2eeb79c4546439f6eb7e0de5ac9004 | 5,830 | py | Python | DeepLearning/DeepLearning/09_Deep_SongJW/ch5/layers.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | 1 | 2019-06-27T04:05:59.000Z | 2019-06-27T04:05:59.000Z | DeepLearning/DeepLearning/09_Deep_SongJW/ch5/layers.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | DeepLearning/DeepLearning/09_Deep_SongJW/ch5/layers.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | import numpy as np
from book.common.functions import softmax, cross_entropy_error
'''
역전파 backpropagation
미분을 구하는 방법. 수치미분보다 빠르게 미분을 구할 수 있다.
연쇄법칙을 이용하는 방법으로 연산을 우에서 좌로 거슬러 올라가며
연산 전 입력에 대한 연산 후 출력의 미분을 구해서 각 연산을 지날때마다 곱해나가는 방식
'''
# 곱셈 계층 - 곱셈 노드
class MulLayer:
def __init__(self):
self.x = None
... | 26.143498 | 94 | 0.544425 |
33283cd134f5d51f07590d20a12789517f4aab24 | 14,407 | py | Python | test/integration/ggrc/models/test_clonable.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-03-30T11:28:48.000Z | 2018-03-30T11:28:48.000Z | test/integration/ggrc/models/test_clonable.py | trevordonnelly/ggrc-core | 499cf0d3cce70737b080991b12c203ec22015cea | [
"ECL-2.0",
"Apache-2.0"
] | 6 | 2015-04-25T13:15:15.000Z | 2019-03-21T22:38:01.000Z | test/integration/ggrc/models/test_clonable.py | zidarsk8/ggrc-core | 2509c989eddf434249d3bef50c21e08dbf56c1a4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Integration test for Clonable mixin"""
from ggrc import db
from ggrc import models
from ggrc.snapshotter.rules import Types
from integration.ggrc import generator
from integration.ggrc.models import fac... | 33.819249 | 79 | 0.648643 |
33283decc369e14da32985d49a7368f16d1bbfc0 | 1,246 | py | Python | sessions/003 session-numbers/exercises/random_number_guesser.py | robotlightsyou/pfb-resources | 3623f54d87f7eddb0ea858d14845552d356643a9 | [
"MIT"
] | null | null | null | sessions/003 session-numbers/exercises/random_number_guesser.py | robotlightsyou/pfb-resources | 3623f54d87f7eddb0ea858d14845552d356643a9 | [
"MIT"
] | 2 | 2021-04-21T05:12:55.000Z | 2021-04-21T05:15:04.000Z | sessions/003 session-numbers/exercises/random_number_guesser.py | robotlightsyou/pfb-resources | 3623f54d87f7eddb0ea858d14845552d356643a9 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import random
from random import randint
def main():
print("basic")
basic()
print("advanced")
advanced()
print("more advanced")
more_advanced()
def basic():
number = randint(1,10)
guess = ''
while guess != number:
print("Please enter a number.")
... | 22.654545 | 45 | 0.527287 |
33284db7a1d25f7f3aaf158c7f0059b79c875c74 | 807 | py | Python | drivers/plot_full_kinematics_X_rotation.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | drivers/plot_full_kinematics_X_rotation.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | drivers/plot_full_kinematics_X_rotation.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | import os
import earhart.plotting as ep
from earhart.paths import RESULTSDIR
PLOTDIR = os.path.join(RESULTSDIR, 'full_kinematics_X_rotation')
if not os.path.exists(PLOTDIR):
os.mkdir(PLOTDIR)
ep.plot_full_kinematics_X_rotation(PLOTDIR, basedata='fullfaint',
show1937=0, galacticf... | 42.473684 | 142 | 0.752169 |
332881ff5598bbae0500a31fe196a9fb57551da4 | 122 | py | Python | tests/check_profile.py | justengel/pybk8500 | 6a9748033c783a0081ec391359067dfb9dc83760 | [
"MIT"
] | null | null | null | tests/check_profile.py | justengel/pybk8500 | 6a9748033c783a0081ec391359067dfb9dc83760 | [
"MIT"
] | null | null | null | tests/check_profile.py | justengel/pybk8500 | 6a9748033c783a0081ec391359067dfb9dc83760 | [
"MIT"
] | null | null | null | from pybk8500.run_profile import main
# python -m pybk8500.run_profile "./check_profile.csv"
main('./check_profile.csv')
| 24.4 | 54 | 0.778689 |
33288392c0747f7c44955132b080487da20cd214 | 7,086 | py | Python | tensorflow/python/kernel_tests/matrix_triangular_solve_op_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 522 | 2016-06-08T02:15:50.000Z | 2022-03-02T05:30:36.000Z | tensorflow/python/kernel_tests/matrix_triangular_solve_op_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/python/kernel_tests/matrix_triangular_solve_op_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 108 | 2016-06-16T15:34:05.000Z | 2022-03-12T13:23:11.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.721311 | 80 | 0.627858 |
33289ff9a74ed4050332fc72f182b88a851a0228 | 7,530 | py | Python | snntoolbox/datasets/utils.py | sunpengfei1122/snn_toolbox | 3bdbe329eccd74952989cc704e65567b6bf8b168 | [
"MIT"
] | 1 | 2021-05-13T15:39:19.000Z | 2021-05-13T15:39:19.000Z | snntoolbox/datasets/utils.py | icaruswdw666/snn_toolbox | 80df95757b263d329c44390ccc73a75e13a424e1 | [
"MIT"
] | null | null | null | snntoolbox/datasets/utils.py | icaruswdw666/snn_toolbox | 80df95757b263d329c44390ccc73a75e13a424e1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
The main purpose of this module is to load a dataset from disk and feed it to
the toolbox in one of the formats it can handle.
For details see
.. autosummary::
:nosignatures:
get_dataset
@author: rbodo
"""
from __future__ import division, absolute_import
from __future__ import p... | 34.541284 | 79 | 0.627623 |
3328daa9071252b3ab1da40746eca1ab8c40584e | 7,394 | py | Python | RELEASE_ScaleNet_minimal/maskrcnn_rui/roi_heads_rui/box_head/box_head.py | Jerrypiglet/scalenet | 6a5db480e650d10d1e575e93b6cee366d1912c8a | [
"Adobe-2006",
"Adobe-Glyph"
] | 33 | 2020-08-27T09:06:19.000Z | 2022-03-10T02:27:31.000Z | RELEASE_ScaleNet_minimal/maskrcnn_rui/roi_heads_rui/box_head/box_head.py | Jerrypiglet/scalenet | 6a5db480e650d10d1e575e93b6cee366d1912c8a | [
"Adobe-2006",
"Adobe-Glyph"
] | 2 | 2020-12-28T04:41:55.000Z | 2021-04-07T06:03:36.000Z | RELEASE_ScaleNet_minimal/maskrcnn_rui/roi_heads_rui/box_head/box_head.py | Jerrypiglet/scalenet | 6a5db480e650d10d1e575e93b6cee366d1912c8a | [
"Adobe-2006",
"Adobe-Glyph"
] | 5 | 2020-12-22T03:02:35.000Z | 2021-12-08T09:46:01.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch import nn
from .roi_box_feature_extractors import make_roi_box_feature_extractor, make_classifier_feature_extractor
from .roi_box_predictors import make_roi_box_predictor_rui, make_roi_box_predictor
from .inference import m... | 42.011364 | 105 | 0.658372 |
33292d212d97ded75a9a6511bad0b11f708910dc | 1,050 | py | Python | src/models.py | yudhik11/HumanMeshNet | 7cfae2e654b27feca9d02abdad20028acc9584bb | [
"MIT"
] | 14 | 2019-09-17T03:29:58.000Z | 2020-11-08T08:35:14.000Z | src/models.py | yudhik11/HumanMeshNet | 7cfae2e654b27feca9d02abdad20028acc9584bb | [
"MIT"
] | 1 | 2019-09-16T05:54:20.000Z | 2019-09-16T05:54:20.000Z | src/models.py | yudhik11/HumanMeshNet | 7cfae2e654b27feca9d02abdad20028acc9584bb | [
"MIT"
] | 4 | 2019-10-26T02:56:14.000Z | 2021-11-18T14:28:50.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import scipy.io
from src.SMPL_pytorch import SMPL
from torchvision.models import resnet50, resnet18
class MyResnet18(nn.Module):
def __init__(self, num_out, pretrained=False):
super(MyResnet18, self).__init__()
self.num_out = num_... | 26.923077 | 53 | 0.620952 |
3329380dffaa464c9ce8e98ace01be9e4ceec5ee | 536 | py | Python | tests/test_misc_currency.py | mavit/proselint | f53c77bda6bc339f07d89eaeb9d0e9aee0deaf0b | [
"BSD-3-Clause"
] | null | null | null | tests/test_misc_currency.py | mavit/proselint | f53c77bda6bc339f07d89eaeb9d0e9aee0deaf0b | [
"BSD-3-Clause"
] | null | null | null | tests/test_misc_currency.py | mavit/proselint | f53c77bda6bc339f07d89eaeb9d0e9aee0deaf0b | [
"BSD-3-Clause"
] | null | null | null | """Tests for misc.currency check."""
from __future__ import absolute_import
from .check import Check
from proselint.checks.misc import currency as chk
class TestCheck(Check):
"""The test class for misc.currency."""
__test__ = True
@property
def this_check(self):
"""Bolierplate."""
... | 23.304348 | 68 | 0.652985 |
332945806f5862ade22a8acf2de3c1885d44a8b5 | 1,463 | py | Python | posts/migrations/0001_initial.py | bllli/Django-China-API | 79a5d85fe88ba7784d08d370b8e7519f7274f208 | [
"MIT"
] | 187 | 2018-03-08T11:18:11.000Z | 2021-12-26T13:29:02.000Z | posts/migrations/0001_initial.py | bllli/Django-China-API | 79a5d85fe88ba7784d08d370b8e7519f7274f208 | [
"MIT"
] | 67 | 2018-03-09T14:56:47.000Z | 2021-06-24T08:52:40.000Z | posts/migrations/0001_initial.py | bllli/Django-China-API | 79a5d85fe88ba7784d08d370b8e7519f7274f208 | [
"MIT"
] | 52 | 2018-03-08T11:18:12.000Z | 2021-08-02T16:07:04.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-04-24 12:35
from __future__ import unicode_literals
from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
... | 39.540541 | 147 | 0.615858 |
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