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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
518ab9154fba09ef3df412ee902f6d9802099c49 | 675 | py | Python | bumps/dream/__init__.py | cyankaet/bumps | 427d077fd95f2d9a09eeb8677d045547061cff42 | [
"MIT"
] | 44 | 2015-03-28T06:48:43.000Z | 2022-01-09T11:29:00.000Z | bumps/dream/__init__.py | cyankaet/bumps | 427d077fd95f2d9a09eeb8677d045547061cff42 | [
"MIT"
] | 68 | 2015-08-21T11:28:54.000Z | 2022-03-30T22:14:13.000Z | bumps/dream/__init__.py | cyankaet/bumps | 427d077fd95f2d9a09eeb8677d045547061cff42 | [
"MIT"
] | 27 | 2015-06-22T19:25:27.000Z | 2021-06-15T18:20:06.000Z | """
Notes on random numbers
=======================
Uses dream.util.rng as the random number generator.
You can set the seed using::
dream.util.rng = numpy.random.RandomState(seed)
This interface doesn't feel right, since one instance of DREAM may
influence another if they are running within one another. Putt... | 25.961538 | 66 | 0.712593 |
48ffc30deab76747754a516f9dcf31d07e5f540f | 6,952 | py | Python | generated-libraries/python/netapp/options/__init__.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | 2 | 2017-03-28T15:31:26.000Z | 2018-08-16T22:15:18.000Z | generated-libraries/python/netapp/options/__init__.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | generated-libraries/python/netapp/options/__init__.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | from netapp.connection import NaConnection
from options_modify_iter_info import OptionsModifyIterInfo # 3 properties
from option_info import OptionInfo # 8 properties
from options_modify_iter_key_td import OptionsModifyIterKeyTd # 2 properties
from options_get_iter_key_td import OptionsGetIterKeyTd # 2 properties
clas... | 46.657718 | 183 | 0.587169 |
4115bd180d7eaaec50fd43055816726e06576ee6 | 8,790 | py | Python | mitmproxy/tools/console/options.py | ravitejavalluri/mproxy | ccd8e1e617cdbf3b34ec01ac130093396197101f | [
"MIT"
] | null | null | null | mitmproxy/tools/console/options.py | ravitejavalluri/mproxy | ccd8e1e617cdbf3b34ec01ac130093396197101f | [
"MIT"
] | 1 | 2021-05-09T11:18:14.000Z | 2021-05-09T11:18:14.000Z | mitmproxy/tools/console/options.py | ravitejavalluri/mproxy | ccd8e1e617cdbf3b34ec01ac130093396197101f | [
"MIT"
] | 1 | 2020-11-07T08:54:29.000Z | 2020-11-07T08:54:29.000Z | import urwid
from mitmproxy import contentviews
from mitmproxy.tools.console import common
from mitmproxy.tools.console import grideditor
from mitmproxy.tools.console import select
from mitmproxy.tools.console import signals
from mitmproxy.addons import replace
from mitmproxy.addons import setheaders
footer = [
... | 31.281139 | 78 | 0.487144 |
959ea78f8a73d45b9b610b743b68bb90db61ed65 | 6,697 | py | Python | tests/test_examples.py | SimeonSimjanovski/RP2018-19 | 10d548a28ab5883666b9fdf9f838665c384d86a4 | [
"MIT"
] | 3 | 2018-05-03T05:08:56.000Z | 2021-09-29T12:54:07.000Z | tests/test_examples.py | SimeonSimjanovski/RP2018-19 | 10d548a28ab5883666b9fdf9f838665c384d86a4 | [
"MIT"
] | null | null | null | tests/test_examples.py | SimeonSimjanovski/RP2018-19 | 10d548a28ab5883666b9fdf9f838665c384d86a4 | [
"MIT"
] | null | null | null | '''
Unit test for all of the example scripts provided in the examples folder.
'''
from __future__ import absolute_import, division, print_function
import os
import unittest
import mloop.testing as mlt
import mloop.launchers as mll
import mloop.utilities as mlu
import logging
import numpy as np
import multiprocessing a... | 48.528986 | 119 | 0.537405 |
71b9ca6d5a1f706e6ed3ff7bf70684f9f67d137e | 289 | py | Python | razorpay_integration/razorpay_integration/doctype/razorpay_log/test_razorpay_log.py | frappe/rajorpay_integration | d6a2efb84f7b5f3914816e8b66bc24f92dafbc97 | [
"MIT"
] | 10 | 2016-05-03T13:22:40.000Z | 2022-03-11T17:01:52.000Z | razorpay_integration/razorpay_integration/doctype/razorpay_log/test_razorpay_log.py | frappe/rajorpay_integration | d6a2efb84f7b5f3914816e8b66bc24f92dafbc97 | [
"MIT"
] | 2 | 2020-12-28T07:01:37.000Z | 2021-06-30T06:54:24.000Z | razorpay_integration/razorpay_integration/doctype/razorpay_log/test_razorpay_log.py | frappe/razorpay_integration | d6a2efb84f7b5f3914816e8b66bc24f92dafbc97 | [
"MIT"
] | 17 | 2016-04-20T06:23:16.000Z | 2022-03-15T07:23:18.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
# test_records = frappe.get_test_records('Razorpay Log')
class TestRazorpayLog(unittest.TestCase):
pass
| 22.230769 | 68 | 0.771626 |
f69909d05bf8a375abb7622bbc544ce532c0168c | 7,665 | py | Python | dataset/container.py | rubenve95/Deep-Cuboid-Detection | c4984ccf1edf5c01bd3538ca49ba863cbfa9b7d0 | [
"MIT"
] | 5 | 2020-12-16T03:00:16.000Z | 2022-01-14T07:41:58.000Z | dataset/container.py | rubenve95/Deep-Cuboid-Detection | c4984ccf1edf5c01bd3538ca49ba863cbfa9b7d0 | [
"MIT"
] | 1 | 2021-08-12T09:18:30.000Z | 2021-08-12T09:18:30.000Z | dataset/container.py | rubenve95/Deep-Cuboid-Detection | c4984ccf1edf5c01bd3538ca49ba863cbfa9b7d0 | [
"MIT"
] | 1 | 2021-09-28T02:51:39.000Z | 2021-09-28T02:51:39.000Z | import json
import os
import pickle
import random
from typing import List, Tuple, Dict
import torch
import torch.utils.data.dataset
from PIL import Image, ImageOps
from torch import Tensor
from torchvision.datasets import CocoDetection
from tqdm import tqdm
from torch.nn import functional as F
import numpy as np
from ... | 39.715026 | 136 | 0.56908 |
c116db8a51b7b84a83c19d3c965b3dd9040062fa | 1,920 | py | Python | src/archive/LSTM/LSTMAE30width.py | RiceD2KLab/TCH_CardiacSignals_F20 | ea6e84703086ddb7bfc5ba164aa67acdc9e78b7d | [
"BSD-2-Clause"
] | 1 | 2022-01-27T07:03:20.000Z | 2022-01-27T07:03:20.000Z | src/archive/LSTM/LSTMAE30width.py | RiceD2KLab/TCH_CardiacSignals_F20 | ea6e84703086ddb7bfc5ba164aa67acdc9e78b7d | [
"BSD-2-Clause"
] | null | null | null | src/archive/LSTM/LSTMAE30width.py | RiceD2KLab/TCH_CardiacSignals_F20 | ea6e84703086ddb7bfc5ba164aa67acdc9e78b7d | [
"BSD-2-Clause"
] | null | null | null | import tensorflow
from tensorflow import keras
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, LSTM, Dropout, RepeatVector, TimeDistributed
import numpy as np
import os
import matplotlib.pyplot as plt
import sys
def create_model(X):
model = Sequential()
model.add(LSTM... | 29.538462 | 106 | 0.666146 |
73168c4e742c1777947956a2023dd14a1ff4d5f3 | 57,104 | py | Python | nova/virt/vmwareapi/vm_util.py | nkrinner/nova | 1372397d4f5f8c155af6f1f4ab5dc68be00c9c01 | [
"Apache-2.0"
] | null | null | null | nova/virt/vmwareapi/vm_util.py | nkrinner/nova | 1372397d4f5f8c155af6f1f4ab5dc68be00c9c01 | [
"Apache-2.0"
] | null | null | null | nova/virt/vmwareapi/vm_util.py | nkrinner/nova | 1372397d4f5f8c155af6f1f4ab5dc68be00c9c01 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 Hewlett-Packard Development Company, L.P.
# Copyright (c) 2012 VMware, Inc.
# Copyright (c) 2011 Citrix Systems, Inc.
# Copyright 2011 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. Yo... | 38.767142 | 79 | 0.645699 |
319033164b8adf69fbe1ba15193979ad9b3813e4 | 324 | py | Python | borough_map/__main__.py | timhunderwood/house-price-london | 6345e374fd363e27e5c0708557f680c1305905ac | [
"MIT"
] | null | null | null | borough_map/__main__.py | timhunderwood/house-price-london | 6345e374fd363e27e5c0708557f680c1305905ac | [
"MIT"
] | null | null | null | borough_map/__main__.py | timhunderwood/house-price-london | 6345e374fd363e27e5c0708557f680c1305905ac | [
"MIT"
] | null | null | null | import borough_map.controller
if __name__ == "__main__":
controller = borough_map.controller.Controller(
raw_price_paid_file_name="pp-complete.csv.gz",
shp_file_name="London_Borough_Excluding_MHW.shp",
start_year=1995,
end_year=2019,
end_month=11,
)
controller.animat... | 27 | 57 | 0.688272 |
37b962b173d0cd4f1a2ad02f122176fff4860577 | 33,973 | py | Python | utils/util.py | PointCloudYC/se-pseudogrid | 65005d82fda1a31b8c945e02e378df102ba0fee0 | [
"MIT"
] | 2 | 2021-11-30T06:38:23.000Z | 2021-12-17T01:38:32.000Z | utils/util.py | PointCloudYC/se-pseudogrid | 65005d82fda1a31b8c945e02e378df102ba0fee0 | [
"MIT"
] | null | null | null | utils/util.py | PointCloudYC/se-pseudogrid | 65005d82fda1a31b8c945e02e378df102ba0fee0 | [
"MIT"
] | null | null | null | import sys
import os
import itertools
from string import ascii_uppercase
import numpy as np
import torch
import torch.distributed as dist
from sklearn.metrics import confusion_matrix, classification_report
import matplotlib.pyplot as plt
import matplotlib.patheffects as PathEffects
# from sklearn.manifold import TSNE
#... | 35.388542 | 176 | 0.606629 |
45d2581e2070bc898ddbbdf51ee7d0ff3c14922d | 7,617 | py | Python | occo/plugins/infraprocessor/node_resolution/basic.py | zfarkas/infra-processor | 86b0d80925bf5cf97148a8d0f468cfa22b079957 | [
"Apache-2.0"
] | null | null | null | occo/plugins/infraprocessor/node_resolution/basic.py | zfarkas/infra-processor | 86b0d80925bf5cf97148a8d0f468cfa22b079957 | [
"Apache-2.0"
] | null | null | null | occo/plugins/infraprocessor/node_resolution/basic.py | zfarkas/infra-processor | 86b0d80925bf5cf97148a8d0f468cfa22b079957 | [
"Apache-2.0"
] | null | null | null | ### Copyright 2014, MTA SZTAKI, www.sztaki.hu
###
### 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 applicab... | 38.276382 | 89 | 0.623211 |
15517541f35ed25032a1fdf6a893a3a2b212a4e5 | 1,215 | py | Python | src/networks.py | NaHenn/gclc | 5159c28688d179fa4031ef101d9a31556b71acc0 | [
"MIT"
] | null | null | null | src/networks.py | NaHenn/gclc | 5159c28688d179fa4031ef101d9a31556b71acc0 | [
"MIT"
] | null | null | null | src/networks.py | NaHenn/gclc | 5159c28688d179fa4031ef101d9a31556b71acc0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
networks for experiments
"""
import torch
import torch.nn as nn
class LayerNet(nn.Module):
def __init__(self, nx, nh, ny, act = torch.sigmoid, d = 2):
''' neural network with d hidden layers with the same size
Parameters
--------
n... | 26.413043 | 102 | 0.497119 |
34f5effd4f0944b833d1ec4e0405ad920ec0a3b7 | 655 | py | Python | examples/python/jrecdbc.py | pewo/jrecdb | 1e49efcff78036ffe2f2236003749f221d92ef71 | [
"MIT"
] | null | null | null | examples/python/jrecdbc.py | pewo/jrecdb | 1e49efcff78036ffe2f2236003749f221d92ef71 | [
"MIT"
] | null | null | null | examples/python/jrecdbc.py | pewo/jrecdb | 1e49efcff78036ffe2f2236003749f221d92ef71 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
import json
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
try:
r = requests.get('https://127.0.0.1:4443/dbread?jobtype=autopostinstall&remove=0', verify=False, timeout=3)
r.raise_for_... | 19.848485 | 109 | 0.728244 |
caefa7b7a77d6b73ada1f5689624eccb597e0196 | 553 | py | Python | cohesity_management_sdk/models/object_class_search_principals_enum.py | anoopbhat/management-sdk-python | 423d9079fd4b3a773f43882d1272181f5ec84f96 | [
"Apache-2.0"
] | 1 | 2021-01-07T20:36:22.000Z | 2021-01-07T20:36:22.000Z | cohesity_management_sdk/models/object_class_search_principals_enum.py | vloiseau/management-sdk-python | 56e80399691245e351692abc4c366fac84a82f96 | [
"Apache-2.0"
] | null | null | null | cohesity_management_sdk/models/object_class_search_principals_enum.py | vloiseau/management-sdk-python | 56e80399691245e351692abc4c366fac84a82f96 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019 Cohesity Inc.
class ObjectClassSearchPrincipalsEnum(object):
"""Implementation of the 'objectClass_SearchPrincipals' enum.
TODO: type enum description here.
Attributes:
KUSER: TODO: type description here.
KGROUP: TODO: type description here.
... | 21.269231 | 65 | 0.674503 |
4267fd7c545bb4b865df98ac1a687e763623ba4b | 818 | py | Python | interface/migrations/0002_result.py | matteocao/django-project | 55ec084a622a696f3ec95e49e8f59357964c7d80 | [
"MIT"
] | 2 | 2021-01-25T10:48:28.000Z | 2021-01-25T12:05:21.000Z | interface/migrations/0002_result.py | lgaborini/django-project | 927395d41f48a50704fbaf36ba9729a8cfbccfd4 | [
"MIT"
] | null | null | null | interface/migrations/0002_result.py | lgaborini/django-project | 927395d41f48a50704fbaf36ba9729a8cfbccfd4 | [
"MIT"
] | 1 | 2021-01-25T10:48:20.000Z | 2021-01-25T10:48:20.000Z | # Generated by Django 3.1.5 on 2021-01-20 09:37
import django.core.files.storage
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('interface', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | 32.72 | 134 | 0.625917 |
45855aacf8c05cb01d1bef1659c2fd836b33e0dd | 3,643 | py | Python | eridanusstd/weather.py | mithrandi/eridanus | 11c80c7024548ce7c41800b077d3d0a738a04875 | [
"MIT"
] | null | null | null | eridanusstd/weather.py | mithrandi/eridanus | 11c80c7024548ce7c41800b077d3d0a738a04875 | [
"MIT"
] | 5 | 2021-03-18T20:19:01.000Z | 2022-03-11T23:14:44.000Z | eridanusstd/weather.py | mithrandi/eridanus | 11c80c7024548ce7c41800b077d3d0a738a04875 | [
"MIT"
] | 1 | 2018-01-10T15:15:15.000Z | 2018-01-10T15:15:15.000Z | import dateutil.parser
from lxml import etree
from epsilon.structlike import record
from nevow.url import URL
from eridanus import util
class WundergroundConditions(
record('displayLocation observationLocation observationTime condition '
'temperature humidity pressure windSpeed windDirection windC... | 35.715686 | 89 | 0.59182 |
effc39b979004798b737ea70bdada7b1f04a98ac | 14,225 | py | Python | ee/tasks/test/test_calculate_cohort.py | ld-rale/posthog | 0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810 | [
"MIT"
] | null | null | null | ee/tasks/test/test_calculate_cohort.py | ld-rale/posthog | 0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810 | [
"MIT"
] | null | null | null | ee/tasks/test/test_calculate_cohort.py | ld-rale/posthog | 0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810 | [
"MIT"
] | null | null | null | import json
import urllib.parse
from unittest.mock import patch
from uuid import uuid4
from freezegun import freeze_time
from ee.clickhouse.client import sync_execute
from ee.clickhouse.models.event import create_event
from ee.clickhouse.util import ClickhouseTestMixin
from posthog.models.cohort import Cohort
from po... | 39.29558 | 373 | 0.486819 |
f8102ae8c7b534b234d0665fa86a743e2aeb4975 | 214,262 | py | Python | src/config/api-server/vnc_cfg_api_server/vnc_cfg_api_server.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | src/config/api-server/vnc_cfg_api_server/vnc_cfg_api_server.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | src/config/api-server/vnc_cfg_api_server/vnc_cfg_api_server.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
"""
This is the main module in vnc_cfg_api_server package. It manages interaction
between http/rest, address management, authentication and database interfaces.
"""
from gevent import monkey
monkey.patch_all()
from gevent import hub
# from neutron p... | 42.826704 | 136 | 0.569308 |
80bbbb2a4425b6b72a69d6fe8cf0dc0ec3398b1c | 111 | py | Python | argotools/forecastlib/__init__.py | LeonardoClemente/argotools-pkg | cf261bd823dfc7eb808f1561b2052b5f000cac10 | [
"MIT"
] | null | null | null | argotools/forecastlib/__init__.py | LeonardoClemente/argotools-pkg | cf261bd823dfc7eb808f1561b2052b5f000cac10 | [
"MIT"
] | null | null | null | argotools/forecastlib/__init__.py | LeonardoClemente/argotools-pkg | cf261bd823dfc7eb808f1561b2052b5f000cac10 | [
"MIT"
] | null | null | null | # from models import *
# required file in processing directory for regional
CDC_REGIONS = './Regions.csv'
| 22.2 | 53 | 0.72973 |
e185c1a3e01c46e1fde00d46d7be19cebe9bfc07 | 6,792 | py | Python | training/training.py | SimonBartels/Variations_of_VAE | 89eec430eb3ec4483a47f345cc83b86051a81be7 | [
"MIT"
] | 1 | 2021-11-07T22:52:14.000Z | 2021-11-07T22:52:14.000Z | training/training.py | SimonBartels/Variations_of_VAE | 89eec430eb3ec4483a47f345cc83b86051a81be7 | [
"MIT"
] | null | null | null | training/training.py | SimonBartels/Variations_of_VAE | 89eec430eb3ec4483a47f345cc83b86051a81be7 | [
"MIT"
] | 1 | 2021-08-05T13:32:29.000Z | 2021-08-05T13:32:29.000Z | import math
import time
from collections import defaultdict
from collections.abc import Iterable
import torch
from torch import Tensor
from torch.nn.utils import clip_grad_norm_, clip_grad_value_
def train_epoch(epoch, model, optimizer, scheduler, train_loader):
"""
epoch: Index of the epoch to run
... | 41.414634 | 145 | 0.593198 |
a8cbef8bdb4de5c1216b138f0cb9fc99e2051dec | 130 | py | Python | bslparloursite/videolibrary/admin.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | 1 | 2016-01-06T23:13:11.000Z | 2016-01-06T23:13:11.000Z | bslparloursite/videolibrary/admin.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | 4 | 2021-03-18T20:15:04.000Z | 2021-06-10T17:52:31.000Z | bslparloursite/videolibrary/admin.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import SourceVideo
admin.site.register(SourceVideo)
| 16.25 | 32 | 0.807692 |
9db5d94997baad62af729aa8850efbcddfeeaad8 | 7,712 | py | Python | openml/lit_regressor.py | cmonserr/Why_Difficulty | 7b34cc3556a1b99ac67cb155fba8d0837c9b7b10 | [
"MIT"
] | 1 | 2022-02-04T11:33:41.000Z | 2022-02-04T11:33:41.000Z | openml/lit_regressor.py | dcastf01/creating_adversarial_images | 01564f7b4ff9f19021986e57f5bfad827213c8a6 | [
"MIT"
] | null | null | null | openml/lit_regressor.py | dcastf01/creating_adversarial_images | 01564f7b4ff9f19021986e57f5bfad827213c8a6 | [
"MIT"
] | null | null | null |
from typing import Optional
import timm
import torch
import torch.nn as nn
from timm.models.factory import create_model
from torch.nn import functional as F
from torch.nn.modules import linear
from torchvision import models
from openml.config import CONFIG, ModelsAvailable
from openml.custom_models import AlexNet, G... | 37.803922 | 91 | 0.561981 |
46daeee910ed3f8a26e74078712afe3d0ecf557b | 17,156 | py | Python | Source/Analytics/TransmissionLineImpedanceCalculator/Source/Step_1_VI Acquisition/PowerSystemPsseLibrary.py | GridProtectionAlliance/openECA | d91f435844a6c3eb9f22a593aabeffef98d2525c | [
"MIT"
] | 13 | 2016-11-07T10:53:52.000Z | 2021-05-30T22:05:48.000Z | Source/Analytics/TransmissionLineImpedanceCalculator/Source/Step_1_VI Acquisition/PowerSystemPsseLibrary.py | GridProtectionAlliance/openECA | d91f435844a6c3eb9f22a593aabeffef98d2525c | [
"MIT"
] | 48 | 2016-06-11T16:36:03.000Z | 2021-01-15T15:33:57.000Z | Source/Analytics/TransmissionLineImpedanceCalculator/Source/Step_1_VI Acquisition/PowerSystemPsseLibrary.py | GridProtectionAlliance/openECA | d91f435844a6c3eb9f22a593aabeffef98d2525c | [
"MIT"
] | 6 | 2016-05-23T17:06:17.000Z | 2018-12-21T02:59:02.000Z | # File:"C:\Users\Duotong\Documents\DuotongYang\PSSE_simulation\ICSEG Power Case 1 - IEEE 14 Bus Systems\20150917_simulation.py", generated on THU, SEP 17 2015 10:10, release 32.00.03
from __future__ import with_statement
from __future__ import division
from contextlib import contextmanager
import os,sys
import csv
... | 42.57072 | 227 | 0.668279 |
4d0127e36c4a6538ebc978b15c4b330ae05ef3cc | 2,816 | py | Python | src/python/datasets/train_valid_test_split.py | PeterJackNaylor/NucSeg | 9eaa72d536e61e1ea2e396a47bb5d0a224134790 | [
"MIT"
] | null | null | null | src/python/datasets/train_valid_test_split.py | PeterJackNaylor/NucSeg | 9eaa72d536e61e1ea2e396a47bb5d0a224134790 | [
"MIT"
] | null | null | null | src/python/datasets/train_valid_test_split.py | PeterJackNaylor/NucSeg | 9eaa72d536e61e1ea2e396a47bb5d0a224134790 | [
"MIT"
] | 1 | 2022-02-14T18:45:33.000Z | 2022-02-14T18:45:33.000Z | import numpy as np
import sys
from glob import glob
from sklearn.model_selection import train_test_split
from scipy.ndimage import distance_transform_edt
from multiprocessing import Pool
def distance_transform_array(bin_image):
res = np.zeros_like(bin_image, dtype=np.float64)
for j in range(1, int(bin_image.... | 25.6 | 78 | 0.604403 |
ad859f2a559454a18b8b882cc6f9c10c24d8cc2a | 27,630 | py | Python | glycan_profiling/database/builder/glycopeptide/common.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | null | null | null | glycan_profiling/database/builder/glycopeptide/common.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | null | null | null | glycan_profiling/database/builder/glycopeptide/common.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | null | null | null | import itertools
from uuid import uuid4
from collections import defaultdict, Counter
from multiprocessing import Process, Queue, Event, RLock
from threading import Thread
from itertools import product
try:
from Queue import Empty as QueueEmptyException
except ImportError:
from queue import Empty as QueueEmptyE... | 41.177347 | 118 | 0.632067 |
34b2fe971b149908d1363bfe2b6ee4b2c3f78dfc | 1,778 | py | Python | test/python/robotlib_tests/test_robot.py | austin-bowen/robotlib | 44bfdaad493235dc8385ce1a0c80789e5c65f62d | [
"MIT"
] | null | null | null | test/python/robotlib_tests/test_robot.py | austin-bowen/robotlib | 44bfdaad493235dc8385ce1a0c80789e5c65f62d | [
"MIT"
] | null | null | null | test/python/robotlib_tests/test_robot.py | austin-bowen/robotlib | 44bfdaad493235dc8385ce1a0c80789e5c65f62d | [
"MIT"
] | null | null | null | import unittest
from typing import Dict
from unittest import TestCase
from robotlib.robot import Robot, InputSample, Input, Device, Output
class TestRobot(TestCase):
def test_enable(self):
self.fail()
def test_disable(self):
self.fail()
class UltrasonicInput(Input):
def sample(self):
... | 23.090909 | 70 | 0.650169 |
9f1e9c87408113143209090467c56a53955d7f11 | 6,711 | py | Python | randommer.py | GauravKK08/python-randommer-api-wrapper | 967bf2811ba1f6a077bc8ca1f6c6d0857f8b1157 | [
"Apache-2.0"
] | 1 | 2021-05-26T13:07:00.000Z | 2021-05-26T13:07:00.000Z | randommer.py | GauravKK08/python-randommer-api-wrapper | 967bf2811ba1f6a077bc8ca1f6c6d0857f8b1157 | [
"Apache-2.0"
] | null | null | null | randommer.py | GauravKK08/python-randommer-api-wrapper | 967bf2811ba1f6a077bc8ca1f6c6d0857f8b1157 | [
"Apache-2.0"
] | null | null | null | import requests
import time
import json
class Randommer():
def __init__(self, api_key=None, json_response=True, prefetch_cultures=True):
with open('config.json') as fp:
self.config = json.load(fp)
if api_key is None:
self.api_key = self.config.get('api_key')
... | 45.965753 | 144 | 0.656087 |
3204f393fd435e711eee2a6e947ab43dcb47525e | 15,686 | py | Python | venv/lib/python3.7/site-packages/ccxt/async_support/__init__.py | balibou/ccxt-ohlcv-fetcher | a64cd43cbfd3fe09de34d8a66416ecc6c10d3b2f | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/ccxt/async_support/__init__.py | balibou/ccxt-ohlcv-fetcher | a64cd43cbfd3fe09de34d8a66416ecc6c10d3b2f | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/ccxt/async_support/__init__.py | balibou/ccxt-ohlcv-fetcher | a64cd43cbfd3fe09de34d8a66416ecc6c10d3b2f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""CCXT: CryptoCurrency eXchange Trading Library (Async)"""
# -----------------------------------------------------------------------------
__version__ = '1.18.1270'
# -----------------------------------------------------------------------------
from ccxt.async_support.base.exchange import ... | 50.928571 | 86 | 0.556547 |
8197cf053906f5eda02c9b8ebff8d7767be65c49 | 252 | py | Python | tempdir/login.py | lamendoza-tip/design_app | a8db05985954618fdd73077452cf844c32954694 | [
"MIT"
] | null | null | null | tempdir/login.py | lamendoza-tip/design_app | a8db05985954618fdd73077452cf844c32954694 | [
"MIT"
] | null | null | null | tempdir/login.py | lamendoza-tip/design_app | a8db05985954618fdd73077452cf844c32954694 | [
"MIT"
] | null | null | null | from flask import Flask
from flask import request
from flask import render_template
sample = Flask(__name__)
@sample.route("/")
def main():
return render_template("login.html")
if __name__ == "__main__":
sample.run(host="0.0.0.0", port=5050) | 21 | 41 | 0.722222 |
2628003524fd59cf7ac932202dec9c597d0f275f | 3,975 | py | Python | tensorflow_examples/lite/model_customization/core/data_util/dataloader.py | windmaple/examples | 09d7cd780226679b133fc7cb93b5a8342e9d5c2f | [
"Apache-2.0"
] | 1 | 2021-09-22T12:03:20.000Z | 2021-09-22T12:03:20.000Z | tensorflow_examples/lite/model_maker/core/data_util/dataloader.py | godofecht/examples | 5875c06c3cc76af5419986ab9d2f3d51bea43425 | [
"Apache-2.0"
] | 5 | 2021-06-08T20:55:10.000Z | 2022-02-10T00:45:10.000Z | tensorflow_examples/lite/model_maker/core/data_util/dataloader.py | godofecht/examples | 5875c06c3cc76af5419986ab9d2f3d51bea43425 | [
"Apache-2.0"
] | 1 | 2020-04-21T01:27:17.000Z | 2020-04-21T01:27:17.000Z | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.176991 | 122 | 0.736101 |
d1dd9116e913d2b42a2b1a3342af04f188a0645d | 2,669 | py | Python | grammaranalyzer/core.py | mas-student/web-python-2018-04-ht03 | d853dee86e6271e132f8d79d24b52aafbe7d3779 | [
"MIT"
] | null | null | null | grammaranalyzer/core.py | mas-student/web-python-2018-04-ht03 | d853dee86e6271e132f8d79d24b52aafbe7d3779 | [
"MIT"
] | null | null | null | grammaranalyzer/core.py | mas-student/web-python-2018-04-ht03 | d853dee86e6271e132f8d79d24b52aafbe7d3779 | [
"MIT"
] | null | null | null | import os
import git
import collections
from operator import itemgetter
from .helpers import is_python, get_filenames_from_path
from .parse import get_nodes_from_filenames, get_node_name, get_words_from_names, is_function_node, is_name_node
from .analysis import is_verb
from .output import to_fuzzy, to_csv, to_json, t... | 32.156627 | 112 | 0.698764 |
2dbd4bcec6881b72b6a35c5cef28f61c6bf6bb4e | 950 | py | Python | api/src/opentrons/protocols/__init__.py | SebastianEggert/opentrons | c377d6a4c10c742f9ca4dba746af903e4ea4f079 | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocols/__init__.py | SebastianEggert/opentrons | c377d6a4c10c742f9ca4dba746af903e4ea4f079 | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocols/__init__.py | SebastianEggert/opentrons | c377d6a4c10c742f9ca4dba746af903e4ea4f079 | [
"Apache-2.0"
] | null | null | null | from . import execute_v1, execute_v3
from opentrons.protocol_api.execute import (
get_protocol_schema_version, validate_protocol)
def execute_protocol(protocol_json):
protocol_version = get_protocol_schema_version(protocol_json)
if protocol_version > 3:
raise RuntimeError(
f'JSON Proto... | 29.6875 | 69 | 0.664211 |
7814b03c29b830f5191eb2b227943f042c98d159 | 4,052 | py | Python | sensorflow/sensorflow.py | maxpowel/sensorflow-python | 7c6f23087fbff085c43dd6d3bc00ce8dae884484 | [
"MIT"
] | null | null | null | sensorflow/sensorflow.py | maxpowel/sensorflow-python | 7c6f23087fbff085c43dd6d3bc00ce8dae884484 | [
"MIT"
] | null | null | null | sensorflow/sensorflow.py | maxpowel/sensorflow-python | 7c6f23087fbff085c43dd6d3bc00ce8dae884484 | [
"MIT"
] | null | null | null | import serial
import json
import struct
from abc import ABCMeta, abstractmethod
class SensorflowSource(metaclass=ABCMeta):
def __iter__(self):
return self
def __next__(self):
while True:
yield self.receive()
@abstractmethod
def receive(self):
pass
@abstractm... | 25.325 | 120 | 0.611303 |
6fa92b7eb700d354e8dad2be544af30b36f3a89b | 8,135 | py | Python | configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py | marinarierav-uab/foveabox | 1f313fd14aaf018aadb0c6b3de163eb0a3b1fbd5 | [
"Apache-2.0"
] | 1 | 2021-01-14T12:04:34.000Z | 2021-01-14T12:04:34.000Z | configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py | marinarierav-uab/foveabox | 1f313fd14aaf018aadb0c6b3de163eb0a3b1fbd5 | [
"Apache-2.0"
] | null | null | null | configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py | marinarierav-uab/foveabox | 1f313fd14aaf018aadb0c6b3de163eb0a3b1fbd5 | [
"Apache-2.0"
] | null | null | null | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='... | 30.698113 | 155 | 0.528826 |
b784921e52c677af8bb48dc0ed200af95fa93262 | 638 | py | Python | manage.py | Johnnyevans32/Spentech-Sales-Management | 6ed077bd8a23b332ea1a893228a695a0ec039d8e | [
"MIT"
] | null | null | null | manage.py | Johnnyevans32/Spentech-Sales-Management | 6ed077bd8a23b332ea1a893228a695a0ec039d8e | [
"MIT"
] | null | null | null | manage.py | Johnnyevans32/Spentech-Sales-Management | 6ed077bd8a23b332ea1a893228a695a0ec039d8e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'spentech_dashboard.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
r... | 29 | 82 | 0.688088 |
c23d6791bdfa1f545a03a5fec0a8d1715c4c95e5 | 556 | py | Python | tests/frontends/test_frontend.py | fosterrath-mila/myia | b4382bd6eb53c709136a6142ee517e0b92d7baed | [
"MIT"
] | null | null | null | tests/frontends/test_frontend.py | fosterrath-mila/myia | b4382bd6eb53c709136a6142ee517e0b92d7baed | [
"MIT"
] | null | null | null | tests/frontends/test_frontend.py | fosterrath-mila/myia | b4382bd6eb53c709136a6142ee517e0b92d7baed | [
"MIT"
] | null | null | null |
import pytest
from myia.frontends import (
FrontendLoadingError,
UnknownFrontend,
activate_frontend,
)
def test_load_frontend_unknown():
with pytest.raises(UnknownFrontend):
activate_frontend('_made_up_frontend')
def test_frontend_error():
from myia.frontends import _frontends
name... | 18.533333 | 46 | 0.710432 |
e2da90df87cbd5e8f93ecf2141731a3fc5b48443 | 474 | py | Python | src/mayaToCorona/mtco_devmodule/scripts/Corona/passes.py | haggi/OpenMaya | 746e0740f480d9ef8d2173f31b3c99b9b0ea0d24 | [
"MIT"
] | 42 | 2015-01-03T15:07:25.000Z | 2021-12-09T03:56:59.000Z | src/mayaToCorona/mtco_devmodule/scripts/Corona/passes.py | haggi/OpenMaya | 746e0740f480d9ef8d2173f31b3c99b9b0ea0d24 | [
"MIT"
] | 66 | 2015-01-02T13:28:44.000Z | 2022-03-16T14:00:57.000Z | src/mayaToCorona/mtco_devmodule/scripts/Corona/passes.py | haggi/OpenMaya | 746e0740f480d9ef8d2173f31b3c99b9b0ea0d24 | [
"MIT"
] | 12 | 2015-02-07T05:02:17.000Z | 2020-07-10T17:21:44.000Z | def getAOVs():
return [
"Alpha",
"SourceColor",
"Components",
"Shadows",
"Albedo",
"RawComponent",
"Normals",
"NormalsDotProduct",
"NormalsDiscrepancy",
"PrimitiveCoords"... | 22.571429 | 33 | 0.35443 |
930a15cbda1de39b378f6dab278074311c782310 | 1,218 | py | Python | tests/integration/network/convex/test_convex_network.py | datacraft-dsc/starfish-py | 95ff24410f056e8e2d313c3af97439fe003e294a | [
"Apache-2.0"
] | null | null | null | tests/integration/network/convex/test_convex_network.py | datacraft-dsc/starfish-py | 95ff24410f056e8e2d313c3af97439fe003e294a | [
"Apache-2.0"
] | null | null | null | tests/integration/network/convex/test_convex_network.py | datacraft-dsc/starfish-py | 95ff24410f056e8e2d313c3af97439fe003e294a | [
"Apache-2.0"
] | 1 | 2021-01-28T12:14:03.000Z | 2021-01-28T12:14:03.000Z | """
Test Convex Network class
"""
import pytest
import secrets
from starfish.network.did import did_generate_random
from tests.integration.network.convex.helpers import auto_topup_account
TEST_AMOUNT = 5
def test_convex_network_setup(convex_network, config):
assert(convex_network.url == config['convex'][... | 27.681818 | 75 | 0.762726 |
c1ce926145b6f359e6d89541236208353e53b8ab | 1,604 | py | Python | tests/conftest.py | nicfit/Parcyl | 2c5bdd472f570b2e6e25e2b687b8a2a9f006a225 | [
"MIT"
] | 2 | 2019-01-29T20:59:26.000Z | 2020-07-16T07:12:37.000Z | tests/conftest.py | nicfit/Parcyl | 2c5bdd472f570b2e6e25e2b687b8a2a9f006a225 | [
"MIT"
] | 6 | 2019-02-09T18:48:22.000Z | 2020-03-20T04:41:58.000Z | tests/conftest.py | nicfit/Parcyl | 2c5bdd472f570b2e6e25e2b687b8a2a9f006a225 | [
"MIT"
] | 1 | 2019-09-21T03:38:05.000Z | 2019-09-21T03:38:05.000Z | import sys
import textwrap
import subprocess
from pathlib import Path
import pytest
@pytest.fixture()
def parcyl_d(tmpdir):
return ParcylDir(tmpdir)
class ParcylDir:
_PARCYL_PY = Path(__file__).parent.parent.absolute() / "parcyl.py"
_SETUP_PY_FORMAT = textwrap.dedent("""\
import parcyl
assert p... | 28.140351 | 79 | 0.587905 |
07f6c1da8c2edae137f308089eeb016f66d5656f | 1,640 | py | Python | Recursion2/Conclusion/theskyline.py | mamoudmatook/Leetcode | 59fb1612ee648a9b99ff7cc779ada5656c01ecd2 | [
"MIT"
] | null | null | null | Recursion2/Conclusion/theskyline.py | mamoudmatook/Leetcode | 59fb1612ee648a9b99ff7cc779ada5656c01ecd2 | [
"MIT"
] | null | null | null | Recursion2/Conclusion/theskyline.py | mamoudmatook/Leetcode | 59fb1612ee648a9b99ff7cc779ada5656c01ecd2 | [
"MIT"
] | null | null | null | import builtins
class Solution:
def getSkyline(self, buildings):
n = len(buildings)
if n == 0:
return []
if n == 1:
xs, xe, y = buildings[0]
return [[xs, y], [xe, 0]]
lef_skyline = self.getSkyline(buildings[:n//2])
right_skylin... | 29.285714 | 62 | 0.445122 |
6761bcff3c703235b22cc7461d1fe3a13f8278a7 | 258 | py | Python | reckonanalytics/keywordGen/views.py | 01dkg/googleAdsAutomations | 036acaa7d3146b0132a767085c37653d8e75712d | [
"Apache-2.0"
] | 9 | 2018-04-19T02:53:52.000Z | 2022-03-14T08:49:59.000Z | reckonanalytics/keywordGen/views.py | joaquinmorenoa/Marketing-Tech-Ads-Automation | 1f99d7b3b71ee546b70ddfe14b1b03d08d2ea877 | [
"Apache-2.0"
] | null | null | null | reckonanalytics/keywordGen/views.py | joaquinmorenoa/Marketing-Tech-Ads-Automation | 1f99d7b3b71ee546b70ddfe14b1b03d08d2ea877 | [
"Apache-2.0"
] | 8 | 2018-03-06T21:33:22.000Z | 2022-01-27T14:49:02.000Z | # howdy/views.py
from django.shortcuts import render
from django.views.generic import TemplateView
# Create your views here.
class HomePageView(TemplateView):
def get(self, request, **kwargs):
return render(request, 'index.html', context=None)
| 28.666667 | 58 | 0.748062 |
a6ff2d42d31f829a9e21197ef6de2a70448c61ac | 6,021 | py | Python | common/gen.py | lisiynos/lisiynos.github.io | 5900ee6ab0055a8047dd2b54b8667d05f3a145c2 | [
"MIT"
] | 1 | 2019-03-02T17:20:25.000Z | 2019-03-02T17:20:25.000Z | common/gen.py | lisiynos/lisiynos.github.io | 5900ee6ab0055a8047dd2b54b8667d05f3a145c2 | [
"MIT"
] | null | null | null | common/gen.py | lisiynos/lisiynos.github.io | 5900ee6ab0055a8047dd2b54b8667d05f3a145c2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
from string import Template
from os import listdir
from os.path import isfile, join, dirname, realpath
# from BeautifulSoup import BeautifulSoup
from bs4 import BeautifulSoup
import sys
if sys.version < '3':
reload(sys) # Reload does the trick!
sys.setdefaultencoding('UTF-8... | 28.947115 | 105 | 0.612523 |
ac9a4386100322b1ea27092936f369aedbffcbbb | 12,697 | py | Python | main/auth/auth.py | daspots/dasapp | 15b113f86842fb8dcef71780a8bda23618427ab3 | [
"MIT"
] | null | null | null | main/auth/auth.py | daspots/dasapp | 15b113f86842fb8dcef71780a8bda23618427ab3 | [
"MIT"
] | null | null | null | main/auth/auth.py | daspots/dasapp | 15b113f86842fb8dcef71780a8bda23618427ab3 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
import functools
import re
from flask_oauthlib import client as oauth
from google.appengine.ext import ndb
import flask
import flask_login
import flask_wtf
import unidecode
import wtforms
import cache
import config
import model
import task
import util
from mai... | 28.791383 | 91 | 0.646058 |
f82019600db734a8c0670042e2c3da8eddfa4729 | 23,245 | py | Python | test/functional/test_runner.py | buntheun/kh69coin-core | f92fd594ab1493292b5dd12ef4d3c9e9597cfee9 | [
"MIT"
] | null | null | null | test/functional/test_runner.py | buntheun/kh69coin-core | f92fd594ab1493292b5dd12ef4d3c9e9597cfee9 | [
"MIT"
] | null | null | null | test/functional/test_runner.py | buntheun/kh69coin-core | f92fd594ab1493292b5dd12ef4d3c9e9597cfee9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Run regression test suite.
This module calls down into individual test cases via subprocess. It will
f... | 40.355903 | 195 | 0.634588 |
431674f95c4ced0b4eb87d741f4a939e7631b653 | 2,750 | py | Python | generic_cache/decorator.py | pantuza/generic_cache | 6db5d178b81a85031ebb3c0d093cc3e3aba0d08b | [
"MIT"
] | 9 | 2018-08-22T18:52:49.000Z | 2020-04-21T23:38:43.000Z | generic_cache/decorator.py | pantuza/generic_cache | 6db5d178b81a85031ebb3c0d093cc3e3aba0d08b | [
"MIT"
] | null | null | null | generic_cache/decorator.py | pantuza/generic_cache | 6db5d178b81a85031ebb3c0d093cc3e3aba0d08b | [
"MIT"
] | 2 | 2018-08-23T14:44:52.000Z | 2018-09-05T12:43:16.000Z | # Copyright (c) 2018, Globo.com (https://github.com/globocom)
#
# License: MIT
class CacheDecorator(object):
def __init__(self, key_prefix, cache_backend, key_builder, default_timeout=None):
self._key_prefix = key_prefix
self._cache_backend = cache_backend
self._key_builder = key_builder
... | 38.732394 | 96 | 0.639273 |
2f1d202afacb6d19329611afcd48d3234c3a89aa | 438 | py | Python | backend/app/api/data_routes.py | shaunmulligan/hypecycle | aa368193934cbd9c73ab1cc541c6cc193469849c | [
"MIT"
] | 1 | 2022-03-18T01:14:09.000Z | 2022-03-18T01:14:09.000Z | backend/app/api/data_routes.py | shaunmulligan/hypecycle | aa368193934cbd9c73ab1cc541c6cc193469849c | [
"MIT"
] | 25 | 2022-01-16T15:30:06.000Z | 2022-01-19T18:41:50.000Z | backend/app/api/data_routes.py | shaunmulligan/hypecycle | aa368193934cbd9c73ab1cc541c6cc193469849c | [
"MIT"
] | null | null | null | from typing import List
from fastapi import APIRouter, HTTPException, Path
from app.api import gps_crud
from app.api.models import GpsReadingDB
router = APIRouter()
@router.get("/location/")
async def get_location():
"""
Get the last location from DB
"""
location = await gps_crud.get_last_location()... | 24.333333 | 76 | 0.726027 |
866d1d82859f0707ea87617d522768095d8d9417 | 9,262 | py | Python | tools/test_check_kconfigs.py | thomasonw/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 1 | 2021-04-18T15:44:42.000Z | 2021-04-18T15:44:42.000Z | tools/test_check_kconfigs.py | Wangrenai/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 1 | 2019-02-15T06:43:13.000Z | 2019-02-15T06:43:13.000Z | tools/test_check_kconfigs.py | Wangrenai/esp-idf | abea9e4c02bb17e86298aec4e299780399e4789f | [
"Apache-2.0"
] | 1 | 2019-02-14T22:29:30.000Z | 2019-02-14T22:29:30.000Z | #!/usr/bin/env python
#
# Copyright 2018 Espressif Systems (Shanghai) PTE 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 req... | 39.080169 | 97 | 0.604297 |
5c9cfbde3b7090ad3536985b2d3cc87d91476e41 | 10,861 | py | Python | simapi.py | RichieBrady/SimAPI-Python | 9bd07e9fd0b3b4f37c968b061791ef9c1c6d213c | [
"MIT"
] | 1 | 2020-04-08T19:40:10.000Z | 2020-04-08T19:40:10.000Z | simapi.py | RichieBrady/SimAPI-Python | 9bd07e9fd0b3b4f37c968b061791ef9c1c6d213c | [
"MIT"
] | 8 | 2020-04-12T08:52:21.000Z | 2021-09-22T18:34:19.000Z | simapi.py | RichieBrady/SimAPI-Python | 9bd07e9fd0b3b4f37c968b061791ef9c1c6d213c | [
"MIT"
] | 2 | 2020-04-08T08:52:15.000Z | 2021-04-24T12:44:39.000Z | import csv
import json
import logging
import polling2
import requests
import pandas as pd
user_url = 'http://127.0.0.1:8000/user/'
login_url = 'http://127.0.0.1:8000/login/'
init_url = 'http://127.0.0.1:8000/init_model/'
input_url = 'http://127.0.0.1:8000/input/'
output_url = 'http://127.0.0.1:8000/output/'
graphql_ur... | 38.514184 | 126 | 0.564129 |
deed3ce45bb05f06e51243af3cb0be75e5da73f8 | 247 | py | Python | tests/data/expected/main/main_nested_directory/definitions/drink/coffee.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 891 | 2019-07-23T04:23:32.000Z | 2022-03-31T13:36:33.000Z | tests/data/expected/main/main_nested_directory/definitions/drink/coffee.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 663 | 2019-07-23T09:50:26.000Z | 2022-03-29T01:56:55.000Z | tests/data/expected/main/main_nested_directory/definitions/drink/coffee.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 108 | 2019-07-23T08:50:37.000Z | 2022-03-09T10:50:22.000Z | # generated by datamodel-codegen:
# filename: definitions/drink/coffee.json
# timestamp: 2019-07-26T00:00:00+00:00
from __future__ import annotations
from enum import Enum
class Coffee(Enum):
Black = 'Black'
Espresso = 'Espresso'
| 19 | 44 | 0.724696 |
21a00a4ace3376c64a4370e05fd7b9812b08b62f | 5,483 | py | Python | tools/sync_mediawiki.py | CHChang810716/libsimdpp | 669bbffb9a94660f83c1c2e46af6098a8e993caa | [
"BSL-1.0"
] | 975 | 2015-01-08T08:30:17.000Z | 2022-03-30T02:57:58.000Z | tools/sync_mediawiki.py | abique/libsimdpp | a42deb7e3ca75c5ebaca0a334f18f1ab9822db02 | [
"BSL-1.0"
] | 125 | 2015-05-06T09:25:14.000Z | 2022-03-23T01:07:07.000Z | tools/sync_mediawiki.py | abique/libsimdpp | a42deb7e3ca75c5ebaca0a334f18f1ab9822db02 | [
"BSL-1.0"
] | 140 | 2015-05-03T18:56:00.000Z | 2022-03-22T07:14:46.000Z | #!/usr/bin/env python3
# Copyright (C) 2016-2017 Povilas Kanapickas <povilas@radix.lt>
#
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
# This script depends on pywikibot framework. Install using
# ... | 34.055901 | 79 | 0.668794 |
ae57a5fe6833a418c20a7352671eb54b5849065e | 10,911 | py | Python | manila_tempest_tests/tests/api/test_shares_negative.py | redhat-openstack/manila | bef43561b303a36d99849952ba8c408b19bafd02 | [
"Apache-2.0"
] | 1 | 2015-05-28T22:28:08.000Z | 2015-05-28T22:28:08.000Z | manila_tempest_tests/tests/api/test_shares_negative.py | redhat-openstack/manila | bef43561b303a36d99849952ba8c408b19bafd02 | [
"Apache-2.0"
] | 5 | 2015-08-13T15:17:28.000Z | 2016-08-02T02:55:01.000Z | manila_tempest_tests/tests/api/test_shares_negative.py | redhat-openstack/manila | bef43561b303a36d99849952ba8c408b19bafd02 | [
"Apache-2.0"
] | 2 | 2015-08-29T08:19:58.000Z | 2016-08-02T02:46:10.000Z | # Copyright 2014 Mirantis Inc.
# 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... | 41.965385 | 79 | 0.620841 |
2787105eab5a75f5ab728a66c204ceedeaf4f3ea | 2,041 | py | Python | src/libraries/enet.py | kirirowy/mai-bot | f6b50083d5fa335d01b831f23c5b2d20bb2a8446 | [
"MIT"
] | 1 | 2022-02-27T06:56:39.000Z | 2022-02-27T06:56:39.000Z | src/libraries/enet.py | kiritowy/mai-bot | f6b50083d5fa335d01b831f23c5b2d20bb2a8446 | [
"MIT"
] | null | null | null | src/libraries/enet.py | kiritowy/mai-bot | f6b50083d5fa335d01b831f23c5b2d20bb2a8446 | [
"MIT"
] | null | null | null | # 列举文件
from asyncio.log import logger
import asyncio
from fileinput import filename
from sqlite3 import Timestamp
from unittest import result
import oss2
import time
from itertools import islice
AccessKeyId = ""
AccessKeySecret = ""
oss_url="oss-cn-guangzhou.aliyuncs.com"
BuckerName="mai2photo"
auth = oss2.Auth(Ac... | 30.462687 | 84 | 0.650171 |
493818e2c58b7a73cfe18d4f8e9b968fc4f3c5f1 | 3,286 | py | Python | dataset.py | m-zayan/ml_utils | c93dcca6362b22d3b9e4652593695b38a8e73763 | [
"MIT"
] | null | null | null | dataset.py | m-zayan/ml_utils | c93dcca6362b22d3b9e4652593695b38a8e73763 | [
"MIT"
] | null | null | null | dataset.py | m-zayan/ml_utils | c93dcca6362b22d3b9e4652593695b38a8e73763 | [
"MIT"
] | null | null | null | from typing import Union
import numpy as np
import pandas as pd
from sklearn.datasets import load_boston, load_diabetes, load_breast_cancer, load_iris, load_digits
from sklearn.model_selection import train_test_split
class Load:
"""
Parameters
--------
dtype (str): pandas or numpy, if numpy the retu... | 30.425926 | 117 | 0.557212 |
e4d562b130891e09c88c8758ebf2092ba37e498e | 2,964 | py | Python | 2017/day_22/solution_p2.py | rvaughan/AdventOfCode2017 | fb9199282c0083cd0b3072c27e63ea83d866efc2 | [
"MIT"
] | null | null | null | 2017/day_22/solution_p2.py | rvaughan/AdventOfCode2017 | fb9199282c0083cd0b3072c27e63ea83d866efc2 | [
"MIT"
] | null | null | null | 2017/day_22/solution_p2.py | rvaughan/AdventOfCode2017 | fb9199282c0083cd0b3072c27e63ea83d866efc2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
This code holds the solution for part 2 of day 22 of the Advent of Code for 2017.
"""
from collections import defaultdict
import sys
UP = (-1, 0)
DOWN = (1, 0)
LEFT = (0, -1)
RIGHT = (0, 1)
def default_factory():
return "."
def turn_left(direction):
if direction == UP:
r... | 21.955556 | 81 | 0.58502 |
e40ea824239535adecf3f32b2f927f7beeb1c86f | 243 | py | Python | examples/delivery/market/basis.py | AlfonsoAgAr/binance-futures-connector-python | f0bd2c7b0576503bf526ce6be329ca2dae90fefe | [
"MIT"
] | 58 | 2021-11-22T11:46:27.000Z | 2022-03-30T06:58:53.000Z | examples/delivery/market/basis.py | sanjeevan121/binance-futures-connector-python | d820b73a15e9f64c80891a13694ca0c5d1693b90 | [
"MIT"
] | 15 | 2021-12-15T22:40:52.000Z | 2022-03-29T22:08:31.000Z | examples/delivery/market/basis.py | sanjeevan121/binance-futures-connector-python | d820b73a15e9f64c80891a13694ca0c5d1693b90 | [
"MIT"
] | 28 | 2021-12-10T03:56:13.000Z | 2022-03-25T22:23:44.000Z | #!/usr/bin/env python
import logging
from binance.delivery import Delivery as Client
from binance.lib.utils import config_logging
config_logging(logging, logging.DEBUG)
client = Client()
logging.info(client.basis("BTCUSD","PERPETUAL","1d")) | 24.3 | 53 | 0.790123 |
0b2c2f48f8e80fe98b69f07277955aa582859635 | 1,233 | py | Python | candlestick/patterns/piercing_pattern.py | michalk21/candlestick-patterns | 8b44f405491b9f128a5e42a9c363893c2f93a12a | [
"MIT"
] | 212 | 2020-07-02T01:54:09.000Z | 2022-03-22T20:22:07.000Z | candlestick/patterns/piercing_pattern.py | dewmal/candlestick-patterns | 29cda62f42869def811a19ceb57118d2a4b5d68f | [
"MIT"
] | 2 | 2021-06-02T00:50:58.000Z | 2021-12-13T20:30:18.000Z | candlestick/patterns/piercing_pattern.py | dewmal/candlestick-patterns | 29cda62f42869def811a19ceb57118d2a4b5d68f | [
"MIT"
] | 74 | 2020-07-01T02:27:19.000Z | 2022-03-30T05:37:16.000Z | from candlestick.patterns.candlestick_finder import CandlestickFinder
class PiercingPattern(CandlestickFinder):
def __init__(self, target=None):
super().__init__(self.get_class_name(), 2, target=target)
def logic(self, idx):
candle = self.data.iloc[idx]
prev_candle = self.data.iloc[id... | 37.363636 | 81 | 0.601784 |
b619d4d7f9264bac16318a6e76942433ceb1ebe4 | 1,447 | py | Python | scantron/models/paper.py | suhelhammoud/scantron | fcf64d973342cd63acf5235ce621fed02aeae47d | [
"MIT"
] | null | null | null | scantron/models/paper.py | suhelhammoud/scantron | fcf64d973342cd63acf5235ce621fed02aeae47d | [
"MIT"
] | null | null | null | scantron/models/paper.py | suhelhammoud/scantron | fcf64d973342cd63acf5235ce621fed02aeae47d | [
"MIT"
] | null | null | null |
from django.db import models
from django.core.validators import MinValueValidator
class Paper(models.Model):
name = models.CharField(max_length=200,
null=True,
blank=True,
default="Add name to paper here")
id_number = models.PositiveSmallIntegerField(default=0)
num_questions = m... | 26.796296 | 86 | 0.569454 |
3b835eda7f7a420283851b07426b0b14e84f2b8c | 3,344 | py | Python | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy283.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy283.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/program/qiskit/noisy/startQiskit_noisy283.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=2
# total number=19
import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import IBMQ
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from ... | 28.827586 | 82 | 0.629785 |
b84f7936d2c19a51356cf7cdd17b99e96117feea | 1,708 | py | Python | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | 1 | 2019-07-31T04:08:13.000Z | 2019-07-31T04:08:13.000Z | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | null | null | null | aiida/cmdline/commands/__init__.py | PercivalN/aiida-core | b215ed5a7ce9342bb7f671b67e95c1f474cc5940 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 58.896552 | 120 | 0.582553 |
bfc3968306d1a5636e7709232678ffa62ef23a9e | 30,866 | py | Python | python/payloads_pb2.py | mrrabbitte/pooly | 7f3c8b0b3deda18d0dc8fb9284e5164abe9b3b1a | [
"Unlicense"
] | 1 | 2022-03-18T20:06:48.000Z | 2022-03-18T20:06:48.000Z | python/payloads_pb2.py | mrrabbitte/pooly | 7f3c8b0b3deda18d0dc8fb9284e5164abe9b3b1a | [
"Unlicense"
] | null | null | null | python/payloads_pb2.py | mrrabbitte/pooly | 7f3c8b0b3deda18d0dc8fb9284e5164abe9b3b1a | [
"Unlicense"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: src/payloads.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 37.458738 | 2,737 | 0.754973 |
e1244482855b66e4407148ea3a69a1d97f797d4c | 1,312 | py | Python | waitlist/blueprints/settings/inserts.py | kimnnmadsen/eve-inc-waitlist | c3e4853c5563a95edbf105c11e73d481595fb3ab | [
"MIT"
] | null | null | null | waitlist/blueprints/settings/inserts.py | kimnnmadsen/eve-inc-waitlist | c3e4853c5563a95edbf105c11e73d481595fb3ab | [
"MIT"
] | 1 | 2020-02-18T05:11:20.000Z | 2020-02-18T05:29:10.000Z | waitlist/blueprints/settings/inserts.py | kimnnmadsen/eve-inc-waitlist | c3e4853c5563a95edbf105c11e73d481595fb3ab | [
"MIT"
] | null | null | null | from flask import Response
from flask_login import login_required
from flask.templating import render_template
from waitlist.blueprints.settings import add_menu_entry
from waitlist.utility.settings import sget_insert, sset_insert
from flask.blueprints import Blueprint
import logging
from flask.globals import request
f... | 32 | 119 | 0.778201 |
11990ceec5931b40947115186bac88fcb5da9ecb | 12,299 | py | Python | corehq/apps/app_manager/tests/test_form_workflow.py | johan--/commcare-hq | 86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/app_manager/tests/test_form_workflow.py | johan--/commcare-hq | 86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd | [
"BSD-3-Clause"
] | 1 | 2022-03-12T01:03:25.000Z | 2022-03-12T01:03:25.000Z | corehq/apps/app_manager/tests/test_form_workflow.py | johan--/commcare-hq | 86ee99c54f55ee94e4c8f2f6f30fc44e10e69ebd | [
"BSD-3-Clause"
] | null | null | null | from django.test import SimpleTestCase
from corehq.apps.app_manager.models import (
FormLink,
WORKFLOW_FORM,
WORKFLOW_MODULE,
WORKFLOW_PREVIOUS,
WORKFLOW_ROOT,
WORKFLOW_PARENT_MODULE,
FormDatum)
from corehq.apps.app_manager.const import AUTO_SELECT_RAW
from corehq.apps.app_manager.tests.app_... | 40.860465 | 125 | 0.66168 |
36091adbd8c5d3a8daf9ebe56234161778b43267 | 86 | py | Python | redis_h3_client/__init__.py | clarkcb/redis-h3-client-py | a338f345cd660674542f7ee438ba36cadbd2126b | [
"MIT"
] | null | null | null | redis_h3_client/__init__.py | clarkcb/redis-h3-client-py | a338f345cd660674542f7ee438ba36cadbd2126b | [
"MIT"
] | null | null | null | redis_h3_client/__init__.py | clarkcb/redis-h3-client-py | a338f345cd660674542f7ee438ba36cadbd2126b | [
"MIT"
] | null | null | null | from .redis_h3_client import RedisH3
__version__ = '0.1.0'
__author__ = 'Cary Clark'
| 17.2 | 36 | 0.755814 |
a943c5a526b0270b3c6d4ccb840e6c437c257558 | 13,465 | py | Python | aimsbackend/StaffViews.py | AhsanJoyia/Academic-Institute-Management-System | 51c43e8914abd193fe848b8b7550c5d75d97c922 | [
"MIT"
] | 1 | 2021-08-25T07:28:59.000Z | 2021-08-25T07:28:59.000Z | aimsbackend/StaffViews.py | AhsanJoyia/Academic-Institute-Management-System | 51c43e8914abd193fe848b8b7550c5d75d97c922 | [
"MIT"
] | null | null | null | aimsbackend/StaffViews.py | AhsanJoyia/Academic-Institute-Management-System | 51c43e8914abd193fe848b8b7550c5d75d97c922 | [
"MIT"
] | null | null | null | import json
from datetime import datetime
from uuid import uuid4
from django.contrib import messages
from django.core import serializers
from django.forms import model_to_dict
from django.http import HttpResponse, JsonResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
fr... | 40.19403 | 395 | 0.709543 |
9c0d64e056599b531f932429c611bf51c65b4412 | 1,511 | py | Python | Library_Management/library_management/requestbook/views.py | pankesh18/web_dev_for_info_system | e46faf4113e219eb3caad5fa494f2c5506df2689 | [
"Unlicense"
] | null | null | null | Library_Management/library_management/requestbook/views.py | pankesh18/web_dev_for_info_system | e46faf4113e219eb3caad5fa494f2c5506df2689 | [
"Unlicense"
] | null | null | null | Library_Management/library_management/requestbook/views.py | pankesh18/web_dev_for_info_system | e46faf4113e219eb3caad5fa494f2c5506df2689 | [
"Unlicense"
] | null | null | null | import json
from telnetlib import STATUS
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
import requests
from django.http import HttpResponse
from Library.models import Book, MyBook
from library_management.settings import MEDIA_URL,MEDIA_ROOT
@login_required
def reqbook(r... | 26.982143 | 182 | 0.711449 |
05fe2bd262d5349ea149357bad05abc7f18634ff | 3,663 | py | Python | backend/app/bug_killer_app/api/project.py | SeanFitzpatrick0/BugKiller | c7dd328ac539aa75e8a1d908dd35722df4e78ab4 | [
"Apache-2.0"
] | null | null | null | backend/app/bug_killer_app/api/project.py | SeanFitzpatrick0/BugKiller | c7dd328ac539aa75e8a1d908dd35722df4e78ab4 | [
"Apache-2.0"
] | null | null | null | backend/app/bug_killer_app/api/project.py | SeanFitzpatrick0/BugKiller | c7dd328ac539aa75e8a1d908dd35722df4e78ab4 | [
"Apache-2.0"
] | null | null | null | from aws_lambda_powertools.utilities.typing import LambdaContext
from bug_killer_api_interface.domain.endpoint.endpoint import EndpointDetails
from bug_killer_api_interface.interface.endpoint.project import DELETE_PROJECT, UPDATE_PROJECT, CREATE_PROJECT, \
GET_PROJECT, GET_USER_PROJECTS
from bug_killer_app.access.... | 33.916667 | 120 | 0.780235 |
0d0fc4ff56dc9a9111f30055e879bc72999d6a0e | 6,436 | py | Python | tests/workflows/test_skymodel_serial.py | cnwangfeng/algorithm-reference-library | 9605eb01652fbfcb9ff003cc12b44c84093b7fb1 | [
"Apache-2.0"
] | null | null | null | tests/workflows/test_skymodel_serial.py | cnwangfeng/algorithm-reference-library | 9605eb01652fbfcb9ff003cc12b44c84093b7fb1 | [
"Apache-2.0"
] | null | null | null | tests/workflows/test_skymodel_serial.py | cnwangfeng/algorithm-reference-library | 9605eb01652fbfcb9ff003cc12b44c84093b7fb1 | [
"Apache-2.0"
] | null | null | null | """ Unit tests for pipelines expressed via arlexecute
"""
import logging
import sys
import unittest
import numpy
from astropy import units as u
from astropy.coordinates import SkyCoord
from workflows.serial.skymodel.skymodel_serial import predict_skymodel_list_serial_workflow
from data_models.memory_data_models impo... | 45.006993 | 116 | 0.586389 |
e6190d839bbf80c64dd850df1c6ef8368ca0d356 | 938 | py | Python | setup.py | Mouse-Imaging-Centre/fastCell | 1d1c39d9953ee83e2c56b284f5b1f57052e490a8 | [
"MIT"
] | 1 | 2021-02-03T14:41:02.000Z | 2021-02-03T14:41:02.000Z | setup.py | Mouse-Imaging-Centre/fastCell | 1d1c39d9953ee83e2c56b284f5b1f57052e490a8 | [
"MIT"
] | 2 | 2019-11-11T19:09:59.000Z | 2021-03-12T17:36:55.000Z | setup.py | Mouse-Imaging-Centre/fastCell | 1d1c39d9953ee83e2c56b284f5b1f57052e490a8 | [
"MIT"
] | 1 | 2020-01-16T21:09:41.000Z | 2020-01-16T21:09:41.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="fastCell",
version="1.0.0",
author="Nick Wang",
author_email="nick.wang@mail.mcgill.ca",
description="Fast Deep Neural Networks for Cell Image Analysis",
long_description=long_descript... | 28.424242 | 68 | 0.619403 |
d8ec70bb6ba855abcd44e4c50f90952219f2a9a8 | 2,385 | py | Python | scripts/devSetup/which.py | flauta/codecombat | 8b0a0c4e516fb3d01815082f7c7650312b7cd8e5 | [
"MIT"
] | 1 | 2021-01-09T23:57:54.000Z | 2021-01-09T23:57:54.000Z | scripts/devSetup/which.py | flauta/codecombat | 8b0a0c4e516fb3d01815082f7c7650312b7cd8e5 | [
"MIT"
] | 4 | 2016-04-19T00:06:28.000Z | 2016-04-19T02:25:22.000Z | scripts/devSetup/which.py | flauta/codecombat | 8b0a0c4e516fb3d01815082f7c7650312b7cd8e5 | [
"MIT"
] | 2 | 2020-10-28T14:50:54.000Z | 2020-11-05T12:39:19.000Z | __author__ = 'root'
#copied from python3
import os
import sys
def which(cmd, mode=os.F_OK | os.X_OK, path=None):
"""Given a command, mode, and a PATH string, return the path which
conforms to the given mode on the PATH, or None if there is no such
file.
`mode` defaults to os.F_OK | os.X_OK. `path` def... | 36.136364 | 80 | 0.615933 |
db9fb536f9fdfc4c02cd4b31a45246f17c3d6175 | 184 | py | Python | app/gws/ext/layer/wms/__init__.py | ewie/gbd-websuite | 6f2814c7bb64d11cb5a0deec712df751718fb3e1 | [
"Apache-2.0"
] | null | null | null | app/gws/ext/layer/wms/__init__.py | ewie/gbd-websuite | 6f2814c7bb64d11cb5a0deec712df751718fb3e1 | [
"Apache-2.0"
] | null | null | null | app/gws/ext/layer/wms/__init__.py | ewie/gbd-websuite | 6f2814c7bb64d11cb5a0deec712df751718fb3e1 | [
"Apache-2.0"
] | null | null | null | import gws.ext.ows.provider.wms.layer
class Config(gws.ext.ows.provider.wms.layer.Config):
"""WMS layer"""
pass
class Object(gws.ext.ows.provider.wms.layer.Object):
pass
| 20.444444 | 52 | 0.711957 |
48dc21938399fe0d175e81d93c789f9b283372fd | 1,022 | py | Python | samples/secure_file_share/coreservices/get_list_of_files.py | ssethumavisa/cybersource-rest-samples-python | 1da9dfb943df0e6be3c4fd591a69e2f8f20ac18e | [
"MIT"
] | null | null | null | samples/secure_file_share/coreservices/get_list_of_files.py | ssethumavisa/cybersource-rest-samples-python | 1da9dfb943df0e6be3c4fd591a69e2f8f20ac18e | [
"MIT"
] | null | null | null | samples/secure_file_share/coreservices/get_list_of_files.py | ssethumavisa/cybersource-rest-samples-python | 1da9dfb943df0e6be3c4fd591a69e2f8f20ac18e | [
"MIT"
] | null | null | null | from CyberSource import *
import os
from importlib.machinery import SourceFileLoader
config_file = os.path.join(os.getcwd(), "data", "Configuration.py")
configuration = SourceFileLoader("module.name", config_file).load_module()
def get_list_of_files():
try:
start_date = "2018-10-20"
end_date = "2... | 37.851852 | 103 | 0.661448 |
5fe41b9ce3ada1b3f39a4b2de935be0240807d90 | 1,043 | py | Python | tests/test_deepred_pytorch.py | dileep-kishore/DEEPred-pytorch | 17f5189ebce41b9f0b959a2c7e797545b93f762c | [
"MIT"
] | null | null | null | tests/test_deepred_pytorch.py | dileep-kishore/DEEPred-pytorch | 17f5189ebce41b9f0b959a2c7e797545b93f762c | [
"MIT"
] | null | null | null | tests/test_deepred_pytorch.py | dileep-kishore/DEEPred-pytorch | 17f5189ebce41b9f0b959a2c7e797545b93f762c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `deepred_pytorch` package."""
import pytest
from click.testing import CliRunner
from deepred_pytorch import deepred_pytorch
from deepred_pytorch import cli
@pytest.fixture
def response():
"""Sample pytest fixture.
See more at: http://doc.pytest.o... | 26.74359 | 78 | 0.709492 |
026e151d40fe1039f8a2e468d7fd7a54e7d0a1de | 13,918 | py | Python | mindspore/parallel/_utils.py | mindspore-ai/mindspore | a9fbb25530a2874166ff0045ddcdfc73207bf5eb | [
"Apache-2.0"
] | 3,200 | 2020-02-17T12:45:41.000Z | 2022-03-31T20:21:16.000Z | mindspore/parallel/_utils.py | Ascend/mindspore | 1509d3f848e6685660194d9f58646fc73ae0f0f0 | [
"Apache-2.0"
] | 176 | 2020-02-12T02:52:11.000Z | 2022-03-28T22:15:55.000Z | mindspore/parallel/_utils.py | mindspore-ai/mindspore | a9fbb25530a2874166ff0045ddcdfc73207bf5eb | [
"Apache-2.0"
] | 621 | 2020-03-09T01:31:41.000Z | 2022-03-30T03:43:19.000Z | # Copyright 2020 Huawei Technologies Co., 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 agreed to... | 39.205634 | 119 | 0.663457 |
949308df3ba02e18d367a526f74f367e13a9ca66 | 3,174 | py | Python | var/spack/repos/builtin/packages/siesta/package.py | RemoteConnectionManager/spack | f2967b6c16effd26ce007cf86cadbb645c574f50 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 3 | 2019-06-27T13:26:50.000Z | 2019-07-01T16:24:54.000Z | var/spack/repos/builtin/packages/siesta/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 75 | 2016-07-27T11:43:00.000Z | 2020-12-08T15:56:53.000Z | var/spack/repos/builtin/packages/siesta/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 8 | 2015-10-16T13:51:49.000Z | 2021-10-18T13:58:03.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
import os
class Siesta(Package):
"""SIESTA performs electronic structure calculations and ab in... | 40.692308 | 142 | 0.521109 |
aaf60553093ad8ac04cb5b60198381daabe3138a | 410 | py | Python | examples/commandsbot.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | null | null | null | examples/commandsbot.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | 14 | 2021-11-01T08:23:06.000Z | 2022-03-31T08:32:24.000Z | examples/commandsbot.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | null | null | null | import discord
from discord.ext import commands
from DisFormers import DisFormersBot
class MyBot(commands.Bot):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
async def on_ready(self):
print("Bot is ready.")
my_bot = MyBot(command_prefix="!", intents=discord.Intents.a... | 24.117647 | 65 | 0.692683 |
e54873121d886c5f8072ba1cebd840d16c8e65f7 | 10,842 | py | Python | DASH/DASH/DashBoard/App.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | DASH/DASH/DashBoard/App.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | DASH/DASH/DashBoard/App.py | changsoooo/kisra-1 | dce2132df97d2b20d9019fa3421540895a097183 | [
"FTL"
] | null | null | null | import dash
import dash_html_components as html
import Character
from dash.dependencies import Input, Output, State
import plotly.express as px
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import layout
import User
import numpy as np
from datetime import timedelta
import plotly.graph_objec... | 42.685039 | 130 | 0.501752 |
41a0032a19d24a072da7c168b458a1fd7d4d07a1 | 983 | py | Python | core/urls.py | Wanderer2436/django_pharmacy | 2e12c41e30f2f2e2c0f3abdaded98a917420f5b8 | [
"MIT"
] | null | null | null | core/urls.py | Wanderer2436/django_pharmacy | 2e12c41e30f2f2e2c0f3abdaded98a917420f5b8 | [
"MIT"
] | 2 | 2022-03-31T14:34:44.000Z | 2022-03-31T14:35:17.000Z | core/urls.py | Wanderer2436/django_pharmacy | 2e12c41e30f2f2e2c0f3abdaded98a917420f5b8 | [
"MIT"
] | null | null | null | from django.urls import path
import core.views
app_name = 'core'
urlpatterns = [
path('', core.views.IndexView.as_view(), name='home'),
path('catalog/', core.views.ProductList.as_view(), name='catalog'),
path('catalog/category/<int:category_id>/', core.views.ProductList.as_view(), name='category'),
pa... | 54.611111 | 108 | 0.711089 |
ae2a59502bc1362b9bc6e318befc7dbc54d3d5cb | 4,085 | py | Python | python_module/megengine/functional/graph.py | WestCityInstitute/MegEngine | f91881ffdc051ab49314b1bd12c4a07a862dc9c6 | [
"Apache-2.0"
] | 2 | 2020-03-26T08:26:29.000Z | 2020-06-01T14:41:38.000Z | python_module/megengine/functional/graph.py | ted51/MegEngine | f91881ffdc051ab49314b1bd12c4a07a862dc9c6 | [
"Apache-2.0"
] | null | null | null | python_module/megengine/functional/graph.py | ted51/MegEngine | f91881ffdc051ab49314b1bd12c4a07a862dc9c6 | [
"Apache-2.0"
] | 1 | 2020-11-09T06:29:51.000Z | 2020-11-09T06:29:51.000Z | # -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | 33.760331 | 97 | 0.667564 |
920c890613ee43ed59316e8a2b2afa228a993883 | 3,077 | py | Python | setup.py | pedromanrique/tensorflow-tts | 62796295284c7cc19f3224df1116a82ce3b1c1d7 | [
"Apache-2.0"
] | 2 | 2020-07-03T05:47:47.000Z | 2020-07-03T19:59:09.000Z | setup.py | RakaMaru/TensorflowTTS | 473eb717503454fa2eabadefd7bcd2459673f6f2 | [
"Apache-2.0"
] | null | null | null | setup.py | RakaMaru/TensorflowTTS | 473eb717503454fa2eabadefd7bcd2459673f6f2 | [
"Apache-2.0"
] | 4 | 2021-02-23T13:05:59.000Z | 2021-04-23T05:15:32.000Z | """Setup Tensorflow TTS libarary."""
import os
import pip
import sys
from distutils.version import LooseVersion
from setuptools import find_packages
from setuptools import setup
if LooseVersion(sys.version) < LooseVersion("3.6"):
raise RuntimeError(
"Tensorflow TTS requires python >= 3.6, "
"but ... | 33.086022 | 137 | 0.646409 |
06fe407f1f6f723cec43df0d963083e621f45f62 | 861 | py | Python | DQM/SiStripMonitorClient/python/RecoForDQM_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQM/SiStripMonitorClient/python/RecoForDQM_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQM/SiStripMonitorClient/python/RecoForDQM_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z |
import FWCore.ParameterSet.Config as cms
# Digitiser ####
# SiStrip
from EventFilter.SiStripRawToDigi.SiStripDigis_cfi import *
siStripDigis.ProductLabel = 'source'
# SiPixel
from EventFilter.SiPixelRawToDigi.SiPixelRawToDigi_cfi import *
siPixelDigis.InputLabel = 'source'
# Local Reco ####
from RecoLocalTrack... | 27.774194 | 123 | 0.806039 |
a591ab7b8d29ee727f7c71954a20eaf617bf9155 | 5,585 | py | Python | notifications.py | labscript-suite-temp-archive/blacs-fork--mearnshaw-blacs--forked-from--labscript_suite-blacs | c3243ad3c9d846138172a08ece58c67ea9e263d6 | [
"BSD-2-Clause"
] | null | null | null | notifications.py | labscript-suite-temp-archive/blacs-fork--mearnshaw-blacs--forked-from--labscript_suite-blacs | c3243ad3c9d846138172a08ece58c67ea9e263d6 | [
"BSD-2-Clause"
] | null | null | null | notifications.py | labscript-suite-temp-archive/blacs-fork--mearnshaw-blacs--forked-from--labscript_suite-blacs | c3243ad3c9d846138172a08ece58c67ea9e263d6 | [
"BSD-2-Clause"
] | null | null | null | #####################################################################
# #
# /notifications.py #
# #
# Copyright 2013, Monash University ... | 46.932773 | 130 | 0.570636 |
3c37006f6562bfc236f1574fe153291362470c05 | 2,146 | py | Python | src/handlers.py | lareira-digital/octodon | 1131bf4ae3b215f1d8021e3ffd5769c5a9a5e9e4 | [
"MIT"
] | null | null | null | src/handlers.py | lareira-digital/octodon | 1131bf4ae3b215f1d8021e3ffd5769c5a9a5e9e4 | [
"MIT"
] | null | null | null | src/handlers.py | lareira-digital/octodon | 1131bf4ae3b215f1d8021e3ffd5769c5a9a5e9e4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Oscar Carballal Prego
# @Date: 2017-04-18 23:25:07
# @Last Modified by: Oscar Carballal Prego
# @Last Modified time: 2017-04-20 22:54:12
import gi
from gi.repository import Gtk
from .parser import SSHConfigParser
class Handler():
def __init__(self, builder):
self.s... | 32.515152 | 70 | 0.609972 |
c6702b3ca275ec56af022a44f608dc739744132e | 4,719 | py | Python | chapter_07/grid_world_sarsa.py | linklab/link_rl_book_codes | b272b46d5ecd2802f34648440ff53641c68cbbf0 | [
"MIT"
] | null | null | null | chapter_07/grid_world_sarsa.py | linklab/link_rl_book_codes | b272b46d5ecd2802f34648440ff53641c68cbbf0 | [
"MIT"
] | 7 | 2020-11-13T18:57:32.000Z | 2022-02-10T01:52:44.000Z | chapter_07/grid_world_sarsa.py | linklab/link_rl_book_codes | b272b46d5ecd2802f34648440ff53641c68cbbf0 | [
"MIT"
] | 1 | 2021-09-07T12:41:33.000Z | 2021-09-07T12:41:33.000Z | import numpy as np
import random
import matplotlib.pyplot as plt
import matplotlib as mpl
import pickle
from environments.gridworld import GridWorld
plt.rcParams["font.family"] = 'AppleGothic'
plt.rcParams["font.size"] = 12
mpl.rcParams['axes.unicode_minus'] = False
GRID_HEIGHT = 4
GRID_WIDTH = 4
TERMINAL_STATES = [... | 28.77439 | 122 | 0.571307 |
7fde633e76b92579f73735cbf88f93b628787a41 | 297 | py | Python | src/model_training.py | nworb95/clean-code-ml | 59812fb507ae82212f119ea4a8ab831cae09ef0d | [
"Apache-2.0"
] | 1 | 2020-11-06T21:43:59.000Z | 2020-11-06T21:43:59.000Z | src/model_training.py | nworb95/clean-code-ml | 59812fb507ae82212f119ea4a8ab831cae09ef0d | [
"Apache-2.0"
] | null | null | null | src/model_training.py | nworb95/clean-code-ml | 59812fb507ae82212f119ea4a8ab831cae09ef0d | [
"Apache-2.0"
] | null | null | null | def train_model(ModelClass, X_train, Y_train, **kwargs):
model = ModelClass(**kwargs)
model.fit(X_train, Y_train)
accuracy_score = round(model.score(X_train, Y_train) * 100, 2)
print(f'accuracy ({ModelClass.__name__}): {accuracy_score}')
return model, accuracy_score
| 33 | 66 | 0.690236 |
cb07cce486ca8c4aa8d8c3cf706b163d06ec3bcb | 777 | py | Python | mycroft/utils.py | seakers/daphne-brain | 1d703d468cd503a21395f986dd72e67b6e556451 | [
"MIT"
] | null | null | null | mycroft/utils.py | seakers/daphne-brain | 1d703d468cd503a21395f986dd72e67b6e556451 | [
"MIT"
] | null | null | null | mycroft/utils.py | seakers/daphne-brain | 1d703d468cd503a21395f986dd72e67b6e556451 | [
"MIT"
] | null | null | null | import daphne_context
import random
def generate_unique_mycroft_session():
current_sessions = get_current_mycroft_sessions()
session = generate_mycroft_session()
tries = 0
while session in current_sessions:
session = generate_mycroft_session()
tries += 1
if tries > 100:
... | 22.2 | 65 | 0.679537 |
b28f38d9699bfd534d57eb70be43900c2c335772 | 7,098 | py | Python | h/routes.py | rickyhan/h | d13cbc3ec5cf92fbfb40ad360c7a5e0d937fbd14 | [
"MIT"
] | 2 | 2021-11-07T23:14:54.000Z | 2021-11-17T10:11:55.000Z | h/routes.py | 0b01/h | d13cbc3ec5cf92fbfb40ad360c7a5e0d937fbd14 | [
"MIT"
] | null | null | null | h/routes.py | 0b01/h | d13cbc3ec5cf92fbfb40ad360c7a5e0d937fbd14 | [
"MIT"
] | 1 | 2017-03-12T00:18:33.000Z | 2017-03-12T00:18:33.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
def includeme(config):
# Core
config.add_route('index', '/')
config.add_route('robots', '/robots.txt')
config.add_route('via_redirect', '/via')
# Accounts
config.add_route('login', '/login')
config.add_route('logout', '/logo... | 43.546012 | 85 | 0.625247 |
2cbd5e920eadb7e396362d39cb3b4ac5f4a09ecc | 4,557 | py | Python | gem_metrics/local_recall.py | ndaheim/GEM-metrics | cfa7a3223d94a7f7ef5fda1d2928e2510b0cbede | [
"MIT"
] | 30 | 2021-02-06T04:58:14.000Z | 2022-03-04T11:26:14.000Z | gem_metrics/local_recall.py | ndaheim/GEM-metrics | cfa7a3223d94a7f7ef5fda1d2928e2510b0cbede | [
"MIT"
] | 70 | 2021-01-12T17:55:15.000Z | 2022-03-30T17:37:02.000Z | gem_metrics/local_recall.py | ndaheim/GEM-metrics | cfa7a3223d94a7f7ef5fda1d2928e2510b0cbede | [
"MIT"
] | 14 | 2021-01-30T20:55:17.000Z | 2022-03-24T02:31:21.000Z | from .metric import ReferencedMetric
from collections import Counter, defaultdict
class LocalRecall(ReferencedMetric):
"""
LocalRecall checks the extent to which a model produces the same tokens as the reference data.
For each item, tokens receive an importance score. If all N annotators use a particular... | 39.973684 | 112 | 0.639456 |
aaae183ca161b218fd96145d3845cbef47321f95 | 4,602 | py | Python | Scweet/user.py | pydxflwb/Scweet | 4d6892edf3b76ff9ec50cda5ee570b80b064b46a | [
"MIT"
] | null | null | null | Scweet/user.py | pydxflwb/Scweet | 4d6892edf3b76ff9ec50cda5ee570b80b064b46a | [
"MIT"
] | null | null | null | Scweet/user.py | pydxflwb/Scweet | 4d6892edf3b76ff9ec50cda5ee570b80b064b46a | [
"MIT"
] | null | null | null | import csv
import os
import datetime
import argparse
import pandas as pd
import utils
from time import sleep
import random
def get_user_information(users, driver=None, headless=True):
""" get user information if the "from_account" argument is specified """
driver = utils.init_driver(headless=headless)
u... | 35.674419 | 123 | 0.524989 |
c9fcb4b818587b93cc9dc9d2d41947bbac4169a7 | 3,018 | py | Python | ngraph_onnx/onnx_importer/utils/types.py | cliveseldon/ngraph-onnx | a2d20afdc7acd5064e4717612ad372d864d03d3d | [
"Apache-2.0"
] | null | null | null | ngraph_onnx/onnx_importer/utils/types.py | cliveseldon/ngraph-onnx | a2d20afdc7acd5064e4717612ad372d864d03d3d | [
"Apache-2.0"
] | null | null | null | ngraph_onnx/onnx_importer/utils/types.py | cliveseldon/ngraph-onnx | a2d20afdc7acd5064e4717612ad372d864d03d3d | [
"Apache-2.0"
] | null | null | null | # ******************************************************************************
# Copyright 2018 Intel Corporation
#
# 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.o... | 36.361446 | 92 | 0.69218 |
0b520b3e583daba06e0646d1725c1194802bc87c | 1,202 | py | Python | Day 7/HangMan.py | anti-batman/100-Days-of-Code | 2ba087a8eacd86f23104349f3044baf9965d5073 | [
"MIT"
] | 72 | 2021-02-20T06:00:46.000Z | 2022-03-29T21:54:01.000Z | Day 7/HangMan.py | anti-batman/100-Days-of-Code | 2ba087a8eacd86f23104349f3044baf9965d5073 | [
"MIT"
] | 2 | 2021-06-05T17:39:16.000Z | 2022-01-30T08:58:14.000Z | Day 7/HangMan.py | anti-batman/100-Days-of-Code | 2ba087a8eacd86f23104349f3044baf9965d5073 | [
"MIT"
] | 21 | 2021-04-03T09:59:48.000Z | 2022-01-30T20:24:43.000Z | import random
from replit import clear
from hangman_words import word_list
from hangman_art import stages, logo
print(logo)
display = []
end_of_game = False
lives = 6
chosen_word = random.choice(word_list)
#testing code
#print(f"The choosen word is: {chosen_word}")
length = len(chosen_word)
for _ in range(length):... | 22.679245 | 83 | 0.634775 |
1058761793e05fec48d546880e2a626054cb0e05 | 39,080 | py | Python | build/plugins/ytest.py | dmitrySorokin/catboost | 7a12febbc181eb977bca1f0dceba8f046795be11 | [
"Apache-2.0"
] | null | null | null | build/plugins/ytest.py | dmitrySorokin/catboost | 7a12febbc181eb977bca1f0dceba8f046795be11 | [
"Apache-2.0"
] | null | null | null | build/plugins/ytest.py | dmitrySorokin/catboost | 7a12febbc181eb977bca1f0dceba8f046795be11 | [
"Apache-2.0"
] | null | null | null | import os
import re
import sys
import json
import copy
import base64
import shlex
import _common
import _metric_resolvers as mr
import _test_const as consts
import _requirements as reqs
import StringIO
import subprocess
import collections
import ymake
MDS_URI_PREFIX = 'https://storage.yandex-team.ru/get-devtools/'
M... | 41.886388 | 251 | 0.630194 |
c387f4c87437ea80642e635aea154bef93230d48 | 993 | py | Python | ML_Lecture5_SelfStudy5/gradient_example.py | Jbarata98/ML_AAU1920 | 090b8cbae9d6adba4ab30e7d4fd68eb24e04c5f4 | [
"MIT"
] | 2 | 2021-05-16T11:21:23.000Z | 2021-05-16T11:21:23.000Z | ML_Lecture5_SelfStudy5/gradient_example.py | Jbarata98/ML_AAU1920 | 090b8cbae9d6adba4ab30e7d4fd68eb24e04c5f4 | [
"MIT"
] | null | null | null | ML_Lecture5_SelfStudy5/gradient_example.py | Jbarata98/ML_AAU1920 | 090b8cbae9d6adba4ab30e7d4fd68eb24e04c5f4 | [
"MIT"
] | null | null | null | import torch
sigmoid = torch.nn.Sigmoid()
relu = torch.nn.ReLU()
x1 = torch.tensor(1.0, requires_grad=True)
w1 = torch.tensor(2.0, requires_grad=True)
x2 = torch.tensor(3.0, requires_grad=True)
w2 = torch.tensor(0.5, requires_grad=True)
y1 = x1*w1
y1.register_hook(lambda grad: print("Grad y1 = {}".format(grad)))
y... | 23.093023 | 65 | 0.668681 |
c82ace0bb5321d8a7f051f7f5d47d20833ab9d15 | 2,466 | py | Python | pythonCore/ch10/myexc.py | Furzoom/learnpython | a3034584e481d4e7c55912d9da06439688aa67ea | [
"MIT"
] | null | null | null | pythonCore/ch10/myexc.py | Furzoom/learnpython | a3034584e481d4e7c55912d9da06439688aa67ea | [
"MIT"
] | null | null | null | pythonCore/ch10/myexc.py | Furzoom/learnpython | a3034584e481d4e7c55912d9da06439688aa67ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import errno
import os
import socket
import tempfile
import types
class NetworkError(IOError):
pass
class FileError(IOError):
pass
def updArgs(args, newarg=None):
if isinstance(args, IOError):
myargs = []
myargs.extend([arg for arg in args... | 21.631579 | 70 | 0.528792 |
37daf05f40d93c7f491b6b78cd4613f5dfeeb157 | 21,305 | py | Python | es_distributed/policies.py | TrevorCMorton/deep-neuroevolution | d6e5c5b41202e9c2e50c986fc822809b507ede64 | [
"MIT"
] | null | null | null | es_distributed/policies.py | TrevorCMorton/deep-neuroevolution | d6e5c5b41202e9c2e50c986fc822809b507ede64 | [
"MIT"
] | null | null | null | es_distributed/policies.py | TrevorCMorton/deep-neuroevolution | d6e5c5b41202e9c2e50c986fc822809b507ede64 | [
"MIT"
] | null | null | null | import logging
import pickle
import time
import h5py
import numpy as np
import tensorflow as tf
import tensorflow.contrib.layers as layers
from . import tf_util as U
logger = logging.getLogger(__name__)
class Policy:
def __init__(self, *args, **kwargs):
self.args, self.kwargs = args, kwargs
sel... | 39.163603 | 140 | 0.588266 |
abe10bb02948764540930e6f8d51e6608042a259 | 3,390 | py | Python | neptune/new/internal/backends/offline_neptune_backend.py | janbolle/neptune-client | 33b1876b361d9a7184f557d7bd6e016cb08bd59f | [
"Apache-2.0"
] | null | null | null | neptune/new/internal/backends/offline_neptune_backend.py | janbolle/neptune-client | 33b1876b361d9a7184f557d7bd6e016cb08bd59f | [
"Apache-2.0"
] | null | null | null | neptune/new/internal/backends/offline_neptune_backend.py | janbolle/neptune-client | 33b1876b361d9a7184f557d7bd6e016cb08bd59f | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2019, Neptune Labs Sp. z o.o.
#
# 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 agr... | 39.418605 | 105 | 0.729499 |
825459f00b9a264b51f473fde15599f86f6419ea | 1,016 | py | Python | lib/utils/save_model.py | CharlesTousignant/Deep-Feature-Flow | b89678d5957d5d1ecafd4ca0d540d001b3b4cbbf | [
"MIT"
] | 1,378 | 2017-05-11T15:23:44.000Z | 2022-03-30T01:50:34.000Z | lib/utils/save_model.py | CharlesTousignant/Deep-Feature-Flow | b89678d5957d5d1ecafd4ca0d540d001b3b4cbbf | [
"MIT"
] | 91 | 2017-05-12T11:44:43.000Z | 2022-02-01T07:33:52.000Z | lib/utils/save_model.py | CharlesTousignant/Deep-Feature-Flow | b89678d5957d5d1ecafd4ca0d540d001b3b4cbbf | [
"MIT"
] | 348 | 2017-05-11T15:27:37.000Z | 2022-01-19T13:33:01.000Z | # --------------------------------------------------------
# Deep Feature Flow
# Copyright (c) 2017 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuwen Xiong
# --------------------------------------------------------
import mxnet as mx
def save_checkpoint(prefix, epoch, arg_params... | 39.076923 | 75 | 0.604331 |
b8737528e4704852ec4efda75b8b8d983885f78c | 91 | py | Python | wire/typings.py | cheetahbyte/wire | f34a41804770968313a8a16a1d9794b7a0abc7dc | [
"MIT"
] | 5 | 2021-09-01T17:34:03.000Z | 2021-12-26T09:41:18.000Z | wire/typings.py | cheetahbyte/wire | f34a41804770968313a8a16a1d9794b7a0abc7dc | [
"MIT"
] | 4 | 2021-12-26T14:53:09.000Z | 2022-01-02T12:50:43.000Z | wire/typings.py | cheetahbyte/wire | f34a41804770968313a8a16a1d9794b7a0abc7dc | [
"MIT"
] | null | null | null | from typing import Callable, Any, Awaitable
CoroutineFunction = Callable[[Any], Awaitable] | 30.333333 | 46 | 0.802198 |
1c3a0fc8179469d205422ebdf25455570f2a5fae | 18,384 | py | Python | Coloring/mayuyu.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | Coloring/mayuyu.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | Coloring/mayuyu.py | MuAuan/llightning-pytorch | 38dc9ed75dd8e6f4a2a05e5a10072a549dcbf4d6 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torchvision
from torch.utils.data import DataLoader, random_split
from torchvision import transforms
import cv2
import matplotlib.pyplot as plt
import glob
import os
from PIL import Image
ts = transforms.ToPILImage()
ts2 = transforms.ToTensor()
ts3 = transforms.Grayscale()
mean... | 27.812405 | 179 | 0.652034 |
fee1148c4467d8fd9ac79e6e27f7c4340b300485 | 363 | py | Python | auth_service/src/AuthService/AuthService/database.py | newgene/biothings_oauth | 363a30e43537b38988363d02e9fa7c9016064a72 | [
"Apache-2.0"
] | null | null | null | auth_service/src/AuthService/AuthService/database.py | newgene/biothings_oauth | 363a30e43537b38988363d02e9fa7c9016064a72 | [
"Apache-2.0"
] | null | null | null | auth_service/src/AuthService/AuthService/database.py | newgene/biothings_oauth | 363a30e43537b38988363d02e9fa7c9016064a72 | [
"Apache-2.0"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from AuthService import settings
engine = create_engine(
settings.SQLALCHEMY_DB_URL, echo=True if settings.DEBUG else False
)
Session = sessionmaker(autocommit=False, autoflush=Fal... | 27.923077 | 70 | 0.829201 |
fb431788154c4944b6f205727d4b06363962c896 | 4,211 | py | Python | tests/terraform/checks/resource/aws/test_ELBUsesSSL.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 4,013 | 2019-12-09T13:16:54.000Z | 2022-03-31T14:31:01.000Z | tests/terraform/checks/resource/aws/test_ELBUsesSSL.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 1,258 | 2019-12-17T09:55:51.000Z | 2022-03-31T19:17:17.000Z | tests/terraform/checks/resource/aws/test_ELBUsesSSL.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 638 | 2019-12-19T08:57:38.000Z | 2022-03-30T21:38:37.000Z | import unittest
import hcl2
from checkov.terraform.checks.resource.aws.ELBUsesSSL import check
from checkov.common.models.enums import CheckResult
class TestELBUsesSSL(unittest.TestCase):
def test_failure_elb_one_listener(self):
hcl_res = hcl2.loads("""
resource "aws_elb" "test" {
... | 35.991453 | 92 | 0.478509 |
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