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class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
08fe2dea91932d463e333a5944d8d0c9020b4e1c | 1,399 | py | Python | libmodernize/fixes/fix_sha_md5.py | adhintz/python-modernize | e6664a82d1033129ff3f65e5273703bf32da9fa0 | [
"BSD-3-Clause"
] | null | null | null | libmodernize/fixes/fix_sha_md5.py | adhintz/python-modernize | e6664a82d1033129ff3f65e5273703bf32da9fa0 | [
"BSD-3-Clause"
] | null | null | null | libmodernize/fixes/fix_sha_md5.py | adhintz/python-modernize | e6664a82d1033129ff3f65e5273703bf32da9fa0 | [
"BSD-3-Clause"
] | null | null | null | """Replace sha and md5 with hashlib."""
from __future__ import absolute_import
from lib2to3 import fixer_base
class FixShaMd5(fixer_base.BaseFix):
import_found = False
PATTERN = """
import_name< 'import' (modulename='sha' | modulename='md5') >
|
power< sha='sha' trailer< '.' (new='n... | 31.795455 | 131 | 0.491065 |
from __future__ import absolute_import
from lib2to3 import fixer_base
class FixShaMd5(fixer_base.BaseFix):
import_found = False
PATTERN = """
import_name< 'import' (modulename='sha' | modulename='md5') >
|
power< sha='sha' trailer< '.' (new='new' | new='sha') > trailer< '(' [any] ')... | true | true |
08fe2f3738c7226fb0e33043ab45306f41016b24 | 875 | py | Python | cn/PyTorch/demo_1/demo.py | Jasonandy/Python-X | 2f02b9a17bd5495dd1f8746b191f11ec2d7bccbe | [
"Apache-2.0"
] | null | null | null | cn/PyTorch/demo_1/demo.py | Jasonandy/Python-X | 2f02b9a17bd5495dd1f8746b191f11ec2d7bccbe | [
"Apache-2.0"
] | null | null | null | cn/PyTorch/demo_1/demo.py | Jasonandy/Python-X | 2f02b9a17bd5495dd1f8746b191f11ec2d7bccbe | [
"Apache-2.0"
] | 2 | 2019-06-18T05:53:26.000Z | 2019-06-19T03:26:02.000Z | # coding=utf-8
import torch
import torch.nn as nn
from torch.autograd import Variable
m = nn.LeakyReLU(0.1)
input = Variable(torch.randn(2))
print(input)
print
'---' * 10
print(m(input))
print
'--' * 10
r = nn.ReLU()
print
r(input)
m = nn.Threshold(0.1, 20)
input = Variable(torch.randn(2))
print(input)
print(m(input)... | 19.021739 | 84 | 0.690286 | import torch
import torch.nn as nn
from torch.autograd import Variable
m = nn.LeakyReLU(0.1)
input = Variable(torch.randn(2))
print(input)
print
'---' * 10
print(m(input))
print
'--' * 10
r = nn.ReLU()
print
r(input)
m = nn.Threshold(0.1, 20)
input = Variable(torch.randn(2))
print(input)
print(m(input))
m = nn.Sigmo... | true | true |
08fe32aa9044c49e51038dc1d87f6dbbc4fcaa22 | 1,097 | py | Python | tests/test_imageObject.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | 28 | 2016-08-16T04:16:32.000Z | 2022-03-27T15:39:29.000Z | tests/test_imageObject.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | 822 | 2016-03-10T01:19:28.000Z | 2022-03-30T20:25:34.000Z | tests/test_imageObject.py | jhunkeler/drizzlepac | 09ca153b8e4f4e03dd155c61243d722e1c40caee | [
"BSD-3-Clause"
] | 33 | 2016-03-16T19:18:03.000Z | 2021-12-27T04:20:44.000Z | #!/usr/bin/env python
import pytest
from drizzlepac import imageObject
#from http://blog.moertel.com/articles/2008/03/19/property-checking-with-pythons-nose-testing-framework
def forall_cases(cases):
def decorate(testfn):
def gen():
for case in cases:
yield testfn, case
... | 31.342857 | 103 | 0.678213 |
import pytest
from drizzlepac import imageObject
def forall_cases(cases):
def decorate(testfn):
def gen():
for case in cases:
yield testfn, case
gen.__name__ = "test_%s_for_a_case" % testfn.__name__
return gen
return decorate
@pytest.mark.xfail(reason="Bro... | true | true |
08fe32df19b8f40c796cafcb0e46fcce7248bb98 | 4,553 | py | Python | Community_Water_Model/CWATM_analyze/plot_indus5min_temperature_worldclim.py | amirsarikhani/NEST | 2771f6593bca0827489359c4129db9eea439d036 | [
"Apache-2.0"
] | 8 | 2019-07-15T19:28:36.000Z | 2021-06-24T04:45:43.000Z | Community_Water_Model/CWATM_analyze/plot_indus5min_temperature_worldclim.py | amirsarikhani/NEST | 2771f6593bca0827489359c4129db9eea439d036 | [
"Apache-2.0"
] | 1 | 2020-10-19T15:49:34.000Z | 2020-10-19T15:49:34.000Z | Community_Water_Model/CWATM_analyze/plot_indus5min_temperature_worldclim.py | amirsarikhani/NEST | 2771f6593bca0827489359c4129db9eea439d036 | [
"Apache-2.0"
] | 7 | 2019-05-20T08:50:22.000Z | 2022-03-08T03:35:08.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 14 12:12:11 2018
@author: wangy
Compare the annual mean temperature in the Indus River Basin in the WorldClim
dataset and the WFDEI dataset
"""
import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import matplotlib.colors ... | 36.134921 | 82 | 0.594114 |
import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import matplotlib.colors as colors
import rasterio.features as rf
from shapely.geometry import shape
import fiona
from affine import Affine
from calcAffine import calcAffine
dom = [31,28.25,31,30,31,30,31,31,30,31,30,... | true | true |
08fe32e31e404e21c61e46b04d30167e77433644 | 1,805 | py | Python | pymux/daemonize.py | jonathanslenders/old-pymux | f5b0562ae880a0e0c26df0fa7954ae60dc92cc62 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | pymux/daemonize.py | jonathanslenders/old-pymux | f5b0562ae880a0e0c26df0fa7954ae60dc92cc62 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2016-08-10T22:36:09.000Z | 2016-08-10T22:36:09.000Z | pymux/daemonize.py | jonathanslenders/old-pymux | f5b0562ae880a0e0c26df0fa7954ae60dc92cc62 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """
Double fork-trick. For starting a posix daemon.
http://code.activestate.com/recipes/66012-fork-a-daemon-process-on-unix/
"""
import os
import sys
def daemonize(stdin='/dev/null', stdout='/dev/null', stderr='/dev/null'):
'''This forks the current process into a daemon.
The stdin, stdout, and stderr argume... | 29.590164 | 82 | 0.603324 |
import os
import sys
def daemonize(stdin='/dev/null', stdout='/dev/null', stderr='/dev/null'):
try:
pid = os.fork()
if pid > 0:
return 0 except OSError as e:
sys.stderr.write("fork #1 failed: (%d) %s\n" % (e.errno, e.strerror) )
sys.exit(1)
... | true | true |
08fe33da9ba858229bc4e4f9fa55fb7532fadd02 | 1,058 | py | Python | test/test_group_edit.py | Alimury/Python_lesson | 8e97632fd9f1eaf4ec3cd878280333e1409beb52 | [
"Apache-2.0"
] | null | null | null | test/test_group_edit.py | Alimury/Python_lesson | 8e97632fd9f1eaf4ec3cd878280333e1409beb52 | [
"Apache-2.0"
] | null | null | null | test/test_group_edit.py | Alimury/Python_lesson | 8e97632fd9f1eaf4ec3cd878280333e1409beb52 | [
"Apache-2.0"
] | 1 | 2020-12-29T17:55:13.000Z | 2020-12-29T17:55:13.000Z | # -*- coding: utf-8 -*-
from model.group import Group
import random
#import allure
def test_edit_group_name(app, db, check_ui):
# with allure.step("Given if the list is empty new group"):
if len(db.get_group_list()) == 0:
app.group.create(Group(name="test4"))
# with allure.step("Given remembering a g... | 44.083333 | 113 | 0.708885 | from model.group import Group
import random
def test_edit_group_name(app, db, check_ui):
if len(db.get_group_list()) == 0:
app.group.create(Group(name="test4"))
old_groups = db.get_group_list()
edit_group = random.choice(old_groups)
new_group_data = Group(name="test5")
app.group.modify_grou... | true | true |
08fe351a9fabe4e2447aad7e48fc2310d6a6ad44 | 3,916 | py | Python | resources/en/docs/3/origin_destination_matrix/scripts/matrix_to_routes.py | spatialthoughts/qgis-tutorials | dc1c6027de72e4875d8d5428fbc1f453b51e0468 | [
"CC-BY-4.0"
] | 34 | 2015-05-11T14:54:47.000Z | 2022-02-11T06:16:48.000Z | resources/en/docs/3/origin_destination_matrix/scripts/matrix_to_routes.py | Santhosh-M31/qgis-tutorials | d22c534219689cff663b9b91b7d6e0e658f83b0d | [
"CC-BY-4.0"
] | 16 | 2016-04-20T10:52:10.000Z | 2022-01-08T13:57:11.000Z | resources/en/docs/3/origin_destination_matrix/scripts/matrix_to_routes.py | Santhosh-M31/qgis-tutorials | d22c534219689cff663b9b91b7d6e0e658f83b0d | [
"CC-BY-4.0"
] | 34 | 2015-07-23T11:13:22.000Z | 2021-12-19T05:50:11.000Z | import requests
import processing
from PyQt5.QtCore import QCoreApplication
from qgis.core import (QgsProcessing, QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource, QgsProcessingParameterFeatureSink,
QgsFeatureSink)
class MatrixToRoutes(QgsProcessingAlgorithm):
"""Creats Routes from Distance Ma... | 32.633333 | 93 | 0.573544 | import requests
import processing
from PyQt5.QtCore import QCoreApplication
from qgis.core import (QgsProcessing, QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource, QgsProcessingParameterFeatureSink,
QgsFeatureSink)
class MatrixToRoutes(QgsProcessingAlgorithm):
NETWORK = 'NETWORK'
MATRIX = ... | true | true |
08fe35bb212ab1820bfbc1cf6d988eb4a03fb3cf | 11,467 | py | Python | tutorials/blitz/3_message_passing.py | kyawlin/dgl | 4579bbf7b7254eee84a9cba14f26808df8b00c09 | [
"Apache-2.0"
] | 42 | 2021-07-01T11:03:17.000Z | 2022-03-30T07:40:01.000Z | tutorials/blitz/3_message_passing.py | kyawlin/dgl | 4579bbf7b7254eee84a9cba14f26808df8b00c09 | [
"Apache-2.0"
] | 6 | 2018-12-13T15:22:08.000Z | 2021-04-22T02:40:27.000Z | tutorials/blitz/3_message_passing.py | kyawlin/dgl | 4579bbf7b7254eee84a9cba14f26808df8b00c09 | [
"Apache-2.0"
] | 6 | 2021-07-07T10:04:13.000Z | 2021-12-11T15:03:50.000Z | """
Write your own GNN module
=========================
Sometimes, your model goes beyond simply stacking existing GNN modules.
For example, you would like to invent a new way of aggregating neighbor
information by considering node importance or edge weights.
By the end of this tutorial you will be able to
- Unders... | 31.941504 | 116 | 0.578617 |
import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl.function as fn
class SAGEConv(nn.Module):
def __init__(self, in_feat, out_feat):
super(SAGEConv, self).__init__()
self.linear = nn.Linear(in_feat * 2, out_feat)
def forward(self, g, h):
... | true | true |
08fe35d757669bcc94e745984e78988ff733c008 | 2,880 | py | Python | test/tokeniser.py | Leoprvn/DataQuest | f79076309c4a41aa46b913f1645abcc82ccc581b | [
"Apache-2.0"
] | 1 | 2020-09-30T15:08:55.000Z | 2020-09-30T15:08:55.000Z | test/tokeniser.py | Leoprvn/DataQuest | f79076309c4a41aa46b913f1645abcc82ccc581b | [
"Apache-2.0"
] | null | null | null | test/tokeniser.py | Leoprvn/DataQuest | f79076309c4a41aa46b913f1645abcc82ccc581b | [
"Apache-2.0"
] | null | null | null | """
This module is to tokenise data
"""
import sys
from pyspark.sql import SparkSession
import pyspark.sql.functions as fn
def arg_validate():
"""
Validated the argument
:return: if the validation fails, comes out of the script
"""
if len(sys.argv) < 2:
print("Please pass val... | 29.690722 | 94 | 0.628472 | import sys
from pyspark.sql import SparkSession
import pyspark.sql.functions as fn
def arg_validate():
if len(sys.argv) < 2:
print("Please pass valid arguments")
print("Execution: tokeniser.py <csv_file_input> <output_folder_name>")
print("Example: tokeniser.py '/opt/io_folder/in... | true | true |
08fe36382534a56718d8ef73ef49d2c8f27aa217 | 422 | py | Python | plotly/validators/layout/xaxis/_showgrid.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 2 | 2020-03-24T11:41:14.000Z | 2021-01-14T07:59:43.000Z | plotly/validators/layout/xaxis/_showgrid.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | plotly/validators/layout/xaxis/_showgrid.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 4 | 2019-06-03T14:49:12.000Z | 2022-01-06T01:05:12.000Z | import _plotly_utils.basevalidators
class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name='showgrid', parent_name='layout.xaxis', **kwargs
):
super(ShowgridValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | 26.375 | 74 | 0.632701 | import _plotly_utils.basevalidators
class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name='showgrid', parent_name='layout.xaxis', **kwargs
):
super(ShowgridValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | true | true |
08fe3697fea306a68b5312b74bd1925b8c549734 | 867 | py | Python | tests/test_config.py | fossabot/OpenTAXII | cb267fc3f5b17b72e16a52bf8a5cbf7a7789e9ad | [
"BSD-Source-Code"
] | 1 | 2022-03-24T09:47:26.000Z | 2022-03-24T09:47:26.000Z | tests/test_config.py | fossabot/OpenTAXII | cb267fc3f5b17b72e16a52bf8a5cbf7a7789e9ad | [
"BSD-Source-Code"
] | 1 | 2019-04-12T08:48:38.000Z | 2019-04-12T08:48:38.000Z | tests/test_config.py | fossabot/OpenTAXII | cb267fc3f5b17b72e16a52bf8a5cbf7a7789e9ad | [
"BSD-Source-Code"
] | 1 | 2021-02-09T15:00:22.000Z | 2021-02-09T15:00:22.000Z | import os
import tempfile
import pytest
from opentaxii.config import ServerConfig
CUSTOM_CONFIG = '''
---
dummy: some
persistence_api:
class: some.test.PersistenceClass
parameters:
a: 1
b: 2
auth_api:
class: other.test.AuthClass
parameters:
c: 3
'''
@pytest.yield_fixture
def config_file_name(co... | 21.675 | 77 | 0.698962 | import os
import tempfile
import pytest
from opentaxii.config import ServerConfig
CUSTOM_CONFIG = '''
---
dummy: some
persistence_api:
class: some.test.PersistenceClass
parameters:
a: 1
b: 2
auth_api:
class: other.test.AuthClass
parameters:
c: 3
'''
@pytest.yield_fixture
def config_file_name(co... | true | true |
08fe36edd934036b4d685e4f3fc1f308d7c86492 | 2,594 | py | Python | demo_pkg/site_pkg_adds/app_demo.py | aristanetworks/DirectFlowAssist | 16c594cb42edd8aa084c6dbb931c87bbdff81ed0 | [
"Apache-2.0"
] | null | null | null | demo_pkg/site_pkg_adds/app_demo.py | aristanetworks/DirectFlowAssist | 16c594cb42edd8aa084c6dbb931c87bbdff81ed0 | [
"Apache-2.0"
] | null | null | null | demo_pkg/site_pkg_adds/app_demo.py | aristanetworks/DirectFlowAssist | 16c594cb42edd8aa084c6dbb931c87bbdff81ed0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2.7
#
# Copyright (c) 2014-2015 Arista Networks, Inc. All rights reserved.
# Arista Networks, Inc. Confidential and Proprietary.
#
# pylint: disable = unused-argument
''' main entry point for DirectFlow Assist demo
'''
from common import utils
import DemoController
import config
import app
cla... | 35.054054 | 78 | 0.558982 |
''' main entry point for DirectFlow Assist demo
'''
from common import utils
import DemoController
import config
import app
class AssistDemo(app.Assist, object):
''' main entry point for DirectFlow Assist demo
'''
def __init__(self):
super(AssistDemo, self).__init__()
def run_demo(self, arg... | false | true |
08fe375908549392ab47082d7dc4fffc5f182d25 | 3,620 | py | Python | huaweicloud-sdk-vod/huaweicloudsdkvod/v1/model/vod_sample_data.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-vod/huaweicloudsdkvod/v1/model/vod_sample_data.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-vod/huaweicloudsdkvod/v1/model/vod_sample_data.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class VodSampleData:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is a... | 25.492958 | 79 | 0.541989 |
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class VodSampleData:
sensitive_list = []
openapi_types = {
'storage': 'float',
'transcode': 'int'
}
attribute_map = {
'storage': 'storage',
'transcode': 'transcode'
... | true | true |
08fe38840e6730270bc3e70dadd827ad413cb9d5 | 4,189 | py | Python | refer/train_cartoon_wgan.py | zampie/GAN_framework | 8e2ff764b08b9199916fef66e49332ef7d21ae32 | [
"MIT"
] | 1 | 2019-12-09T12:51:16.000Z | 2019-12-09T12:51:16.000Z | refer/train_cartoon_wgan.py | zampie/GAN-tensorflow-framework | 8e2ff764b08b9199916fef66e49332ef7d21ae32 | [
"MIT"
] | null | null | null | refer/train_cartoon_wgan.py | zampie/GAN-tensorflow-framework | 8e2ff764b08b9199916fef66e49332ef7d21ae32 | [
"MIT"
] | null | null | null | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import glob
import utils
import traceback
import numpy as np
import tensorflow as tf
import models_64x64 as models
""" param """
epoch = 100
batch_size = 64
lr = 0.0002
z_dim = 100
clip = 0.01
n_critic = 5
gp... | 29.293706 | 135 | 0.645978 | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import glob
import utils
import traceback
import numpy as np
import tensorflow as tf
import models_64x64 as models
epoch = 100
batch_size = 64
lr = 0.0002
z_dim = 100
clip = 0.01
n_critic = 5
gpu_id = 0
de... | true | true |
08fe39419fba136958d6c307ecc9726761347d46 | 2,100 | py | Python | assignments/2021/assignment1/cs231n/optim.py | Bitdribble/cs231n | 08cc359b91107fb2f7cb68e16eb703b6bd3d2176 | [
"MIT"
] | null | null | null | assignments/2021/assignment1/cs231n/optim.py | Bitdribble/cs231n | 08cc359b91107fb2f7cb68e16eb703b6bd3d2176 | [
"MIT"
] | null | null | null | assignments/2021/assignment1/cs231n/optim.py | Bitdribble/cs231n | 08cc359b91107fb2f7cb68e16eb703b6bd3d2176 | [
"MIT"
] | null | null | null | import numpy as np
"""
This file implements various first-order update rules that are commonly used
for training neural networks. Each update rule accepts current weights and the
gradient of the loss with respect to those weights and produces the next set of
weights. Each update rule has the same interface:
def updat... | 38.181818 | 79 | 0.594286 | import numpy as np
def sgd(w, dw, config=None):
if config is None:
config = {}
config.setdefault("learning_rate", 1e-2)
w = w - dw * config.get("learning_rate")
return w, config
| true | true |
08fe39fd2d30b99bdf31c411201738d79c669881 | 778 | py | Python | final_project/server.py | David-Coutinho/xzceb-flask_eng_fr | 2ccd6f08907bfd7147b7e639ae4d3cb51aaf4edb | [
"Apache-2.0"
] | null | null | null | final_project/server.py | David-Coutinho/xzceb-flask_eng_fr | 2ccd6f08907bfd7147b7e639ae4d3cb51aaf4edb | [
"Apache-2.0"
] | null | null | null | final_project/server.py | David-Coutinho/xzceb-flask_eng_fr | 2ccd6f08907bfd7147b7e639ae4d3cb51aaf4edb | [
"Apache-2.0"
] | null | null | null | from machinetranslation import translator
from flask import Flask, render_template, request
import json
import machinetranslation
app = Flask("Web Translator")
@app.route("/englishToFrench")
def englishToFrench():
textToTranslate = request.args.get('textToTranslate')
# Write your code here
return machinet... | 27.785714 | 73 | 0.75964 | from machinetranslation import translator
from flask import Flask, render_template, request
import json
import machinetranslation
app = Flask("Web Translator")
@app.route("/englishToFrench")
def englishToFrench():
textToTranslate = request.args.get('textToTranslate')
return machinetranslation.translator.e... | true | true |
08fe3bdb4e9a51845e3fefe2fbc0b130712ad76c | 1,046 | py | Python | setup.py | thesharp/Leaf | 0eb8ff8e4a9899ea4f09e8a85b5f88257ff16510 | [
"MIT"
] | null | null | null | setup.py | thesharp/Leaf | 0eb8ff8e4a9899ea4f09e8a85b5f88257ff16510 | [
"MIT"
] | null | null | null | setup.py | thesharp/Leaf | 0eb8ff8e4a9899ea4f09e8a85b5f88257ff16510 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
from setuptools import setup, find_packages
import os.path
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(name='leaf',
version='0.4.5',
description='Simple Python library for HTML parsing',
author='Roman Koblov',
au... | 30.764706 | 70 | 0.606119 | from setuptools import setup, find_packages
import os.path
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(name='leaf',
version='0.4.5',
description='Simple Python library for HTML parsing',
author='Roman Koblov',
author_email='pingu.g@gmail.com',
url=... | true | true |
08fe3cc383c151fa1bc647ee6d68784719eb4f84 | 446 | py | Python | Computer Programming 2021-1 Python/Parcial1/Conversion.py | jdramirezl/Teacher-Assistant | 9a79270abbb491967ecc5146969bf4ff1166cf3b | [
"MIT"
] | null | null | null | Computer Programming 2021-1 Python/Parcial1/Conversion.py | jdramirezl/Teacher-Assistant | 9a79270abbb491967ecc5146969bf4ff1166cf3b | [
"MIT"
] | null | null | null | Computer Programming 2021-1 Python/Parcial1/Conversion.py | jdramirezl/Teacher-Assistant | 9a79270abbb491967ecc5146969bf4ff1166cf3b | [
"MIT"
] | null | null | null | '''
Dolar = 3.450
Dolar a peso
'''
# ----------------------------------------------------------------
# Dolar a peso
dolares = float(input("Ingrese cantidad de dolares"))
precio_dolar = 3450
multiplicacion = dolares * precio_dolar
print(multiplicacion)
# --------------------------------------------------------------... | 22.3 | 66 | 0.508969 |
dolares = float(input("Ingrese cantidad de dolares"))
precio_dolar = 3450
multiplicacion = dolares * precio_dolar
print(multiplicacion)
pesos = float(input("Ingrese pesos: "))
precio_dolar = 3450
dolares = pesos / precio_dolar
print(dolares)
| true | true |
08fe3d8214488bda9070aa8de802dfe11bc2980f | 835 | py | Python | tests/samples_test.py | DiddiZ/donk.ai | ccf9a00fb22203a8ab351a5d559d927e6ebfc318 | [
"MIT"
] | null | null | null | tests/samples_test.py | DiddiZ/donk.ai | ccf9a00fb22203a8ab351a5d559d927e6ebfc318 | [
"MIT"
] | 5 | 2021-09-14T06:45:44.000Z | 2022-03-09T15:02:13.000Z | tests/samples_test.py | DiddiZ/donk.ai | ccf9a00fb22203a8ab351a5d559d927e6ebfc318 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from numpy.testing import assert_array_equal
class Test_TransitionPool(unittest.TestCase):
def test_add(self):
"""Test TransitionPool.add()."""
from donk.samples import TransitionPool
N, T, dX, dU = 3, 10, 5, 3
rng = np.random.defa... | 29.821429 | 130 | 0.559281 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
class Test_TransitionPool(unittest.TestCase):
def test_add(self):
from donk.samples import TransitionPool
N, T, dX, dU = 3, 10, 5, 3
rng = np.random.default_rng(0)
X = rng.standard_nor... | true | true |
08fe3e0e66aa9ef121aabe37b5e9d42ea9848d77 | 1,484 | py | Python | src/routers/token.py | andrew-chang-dewitt/hoops-api | 3530c5127c35742aad84df8d6a5286b9f5ad3608 | [
"MIT"
] | null | null | null | src/routers/token.py | andrew-chang-dewitt/hoops-api | 3530c5127c35742aad84df8d6a5286b9f5ad3608 | [
"MIT"
] | 10 | 2021-11-02T23:31:56.000Z | 2021-12-07T03:41:12.000Z | src/routers/token.py | andrew-chang-dewitt/hoops | 3530c5127c35742aad84df8d6a5286b9f5ad3608 | [
"MIT"
] | null | null | null | """Routes under `/token`."""
from db_wrapper.model.base import NoResultFound
from fastapi import Depends
from fastapi.routing import APIRouter
from fastapi.security import OAuth2PasswordRequestForm
from src.config import Config
from src.database import Client
from src.models import (
UserOut,
UserModel as Mod... | 30.285714 | 74 | 0.679919 |
from db_wrapper.model.base import NoResultFound
from fastapi import Depends
from fastapi.routing import APIRouter
from fastapi.security import OAuth2PasswordRequestForm
from src.config import Config
from src.database import Client
from src.models import (
UserOut,
UserModel as Model,
Token
)
from src.secu... | true | true |
08fe3e5276604a2eab2187101b871f15a172e613 | 369 | py | Python | commands/kick.py | b0tdev/ProdigyBot | 6840ee517533097a7097c90013be978476a35d63 | [
"MIT"
] | null | null | null | commands/kick.py | b0tdev/ProdigyBot | 6840ee517533097a7097c90013be978476a35d63 | [
"MIT"
] | null | null | null | commands/kick.py | b0tdev/ProdigyBot | 6840ee517533097a7097c90013be978476a35d63 | [
"MIT"
] | 1 | 2019-07-25T16:07:59.000Z | 2019-07-25T16:07:59.000Z | import discord
from discord.ext import commands
bot = commands.Bot(command_prefix=".")
@bot.command(name="kick", description="Kicks the User", hidden=False)
async def kick(ctx, user:
discord.Member):
await ctx.send(" {} Has been kicked!".format(user.mention))
await user.send("You have been kicked from {}.".fo... | 28.384615 | 75 | 0.704607 | import discord
from discord.ext import commands
bot = commands.Bot(command_prefix=".")
@bot.command(name="kick", description="Kicks the User", hidden=False)
async def kick(ctx, user:
discord.Member):
await ctx.send(" {} Has been kicked!".format(user.mention))
await user.send("You have been kicked from {}.".fo... | true | true |
08fe3eafbfc25d8a2a526d4c3d42ea8665737c79 | 797 | py | Python | setup.py | sharksmhi/sharkpylib | 2a1d3cf3c15729e50525ab8da5920b6f9bb3faf2 | [
"MIT"
] | null | null | null | setup.py | sharksmhi/sharkpylib | 2a1d3cf3c15729e50525ab8da5920b6f9bb3faf2 | [
"MIT"
] | null | null | null | setup.py | sharksmhi/sharkpylib | 2a1d3cf3c15729e50525ab8da5920b6f9bb3faf2 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
import os
from sharkpylib import __version__
include_files = []
for root, dirs, files in os.walk('.', topdown=False):
for name in files:
if name.endswith('.txt') or name.endswith('.json'):
file_path = os.path.join(root, name).strip('.\\sharkpylib\\')... | 29.518519 | 73 | 0.657465 | from setuptools import setup, find_packages
import os
from sharkpylib import __version__
include_files = []
for root, dirs, files in os.walk('.', topdown=False):
for name in files:
if name.endswith('.txt') or name.endswith('.json'):
file_path = os.path.join(root, name).strip('.\\sharkpylib\\')... | true | true |
08fe3f4dec75c5bff4f3d97283ca8316e8973f00 | 1,214 | py | Python | demos/_videos_index_recording_type.py | Ziggeo/ZiggeoPythonSdk | 7c1e46bdd0649bdd58707747279da40783f14f8b | [
"Apache-2.0"
] | 3 | 2018-07-17T16:38:17.000Z | 2020-10-31T19:56:47.000Z | demos/_videos_index_recording_type.py | Ziggeo/ZiggeoPythonSdk | 7c1e46bdd0649bdd58707747279da40783f14f8b | [
"Apache-2.0"
] | 8 | 2015-08-20T15:59:13.000Z | 2022-01-17T13:08:45.000Z | demos/_videos_index_recording_type.py | Ziggeo/ZiggeoPythonSdk | 7c1e46bdd0649bdd58707747279da40783f14f8b | [
"Apache-2.0"
] | 7 | 2015-08-12T14:32:12.000Z | 2019-10-30T05:26:51.000Z | import sys
from Ziggeo import Ziggeo
if(len(sys.argv) < 3):
print ("Error\n")
print ("Usage: $>python _recording_type.py YOUR_API_TOKEN YOUR_PRIVATE_KEY\n")
sys.exit()
api_token = sys.argv[1]
private_key = sys.argv[2]
webrtc_screen_recordings = 0
webrtc_camera_recordings = 0
file_uploads_or_camera_... | 28.232558 | 87 | 0.735585 | import sys
from Ziggeo import Ziggeo
if(len(sys.argv) < 3):
print ("Error\n")
print ("Usage: $>python _recording_type.py YOUR_API_TOKEN YOUR_PRIVATE_KEY\n")
sys.exit()
api_token = sys.argv[1]
private_key = sys.argv[2]
webrtc_screen_recordings = 0
webrtc_camera_recordings = 0
file_uploads_or_camera_... | true | true |
08fe3f6248b7f3bcb19bae82b8c171ac3f928709 | 288 | py | Python | py/constants.py | Uberibsen/s-train-frame | 5b68206b3c09ebe9a2c1b7e0bb3e6c94564ea5cd | [
"MIT"
] | 2 | 2021-08-12T15:30:11.000Z | 2022-01-27T13:38:59.000Z | py/constants.py | Uberibsen/s-train-frame | 5b68206b3c09ebe9a2c1b7e0bb3e6c94564ea5cd | [
"MIT"
] | null | null | null | py/constants.py | Uberibsen/s-train-frame | 5b68206b3c09ebe9a2c1b7e0bb3e6c94564ea5cd | [
"MIT"
] | null | null | null | BASE_URL = 'http://xmlopen.rejseplanen.dk/bin/rest.exe'
DATE_FORMAT = "%d.%m.%y"
TIME_FORMAT = "%H:%M"
"""
# Train lines color in RGB
A_LINE = [25,255,255]
B_LINE = [77,255,0]
BX_LINE = [153,255,77]
C_LINE = [255,128,0]
E_LINE = [102,102,255]
F_LINE = [255,191,0]
H_LINE = [255,38,0]
""" | 20.571429 | 55 | 0.635417 | BASE_URL = 'http://xmlopen.rejseplanen.dk/bin/rest.exe'
DATE_FORMAT = "%d.%m.%y"
TIME_FORMAT = "%H:%M"
| true | true |
08fe41743ff22d3b7f19cbd8af8bea5412007f97 | 5,774 | py | Python | covsirphy/cleaning/covid19datahub.py | davidpetra/covid19-sir | 3ee3e3c3fe35acfd90781d82c259a9d3a1cb5ac0 | [
"Apache-2.0"
] | null | null | null | covsirphy/cleaning/covid19datahub.py | davidpetra/covid19-sir | 3ee3e3c3fe35acfd90781d82c259a9d3a1cb5ac0 | [
"Apache-2.0"
] | 100 | 2021-02-06T17:50:15.000Z | 2022-03-31T20:30:49.000Z | covsirphy/cleaning/covid19datahub.py | ardhani31/Covid19-SIRV | 813bc66f668a3d2945dc97474ea1149bbc6e40c2 | [
"Apache-2.0"
] | 1 | 2021-09-18T12:36:11.000Z | 2021-09-18T12:36:11.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from pathlib import Path
import warnings
import covid19dh
import pandas as pd
from covsirphy.util.term import Term
from covsirphy.cleaning.jhu_data import JHUData
from covsirphy.cleaning.oxcgrt import OxCGRTData
from covsirphy.cleaning.population import PopulationData
from... | 37.012821 | 98 | 0.590405 |
from pathlib import Path
import warnings
import covid19dh
import pandas as pd
from covsirphy.util.term import Term
from covsirphy.cleaning.jhu_data import JHUData
from covsirphy.cleaning.oxcgrt import OxCGRTData
from covsirphy.cleaning.population import PopulationData
from covsirphy.cleaning.pcr_data import PCRData
... | true | true |
08fe43244d05a5f02d65be3992f3d6fac485a65f | 4,535 | py | Python | io_import_rbsp/bsp_tool/__init__.py | snake-biscuits/io_import_rbsp | 0de47dc70c373cc0417cc222d5d83e6dde72068b | [
"MIT"
] | 7 | 2021-09-30T11:13:00.000Z | 2022-03-25T16:19:19.000Z | io_import_rbsp/bsp_tool/__init__.py | snake-biscuits/io_import_rbsp | 0de47dc70c373cc0417cc222d5d83e6dde72068b | [
"MIT"
] | 1 | 2021-11-15T18:36:51.000Z | 2021-11-15T18:36:51.000Z | io_import_rbsp/bsp_tool/__init__.py | snake-biscuits/io_import_rbsp | 0de47dc70c373cc0417cc222d5d83e6dde72068b | [
"MIT"
] | null | null | null | """A library for .bsp file analysis & modification"""
__all__ = ["base", "branches", "load_bsp", "lumps", "tools",
"D3DBsp", "GoldSrcBsp", "IdTechBsp", "InfinityWardBsp",
"QuakeBsp", "RavenBsp", "RespawnBsp", "RitualBsp", "ValveBsp"]
__version__ = "v0.3.1 commit da2734e"
import os
from types impo... | 45.808081 | 101 | 0.632635 | __all__ = ["base", "branches", "load_bsp", "lumps", "tools",
"D3DBsp", "GoldSrcBsp", "IdTechBsp", "InfinityWardBsp",
"QuakeBsp", "RavenBsp", "RespawnBsp", "RitualBsp", "ValveBsp"]
__version__ = "v0.3.1 commit da2734e"
import os
from types import ModuleType
from . import base from . import branc... | true | true |
08fe43f10b32dd2d33ff79d6cc6c3ad3844b09bf | 88 | py | Python | rekt_googlecore/__init__.py | vengefuldrx/rekt_google_core | 77ea5f305c8c7b907bd9e5d8bf60f032077c8156 | [
"Apache-2.0"
] | 1 | 2015-09-18T06:31:46.000Z | 2015-09-18T06:31:46.000Z | rekt_googlecore/__init__.py | vengefuldrx/rekt-googlecore | 77ea5f305c8c7b907bd9e5d8bf60f032077c8156 | [
"Apache-2.0"
] | null | null | null | rekt_googlecore/__init__.py | vengefuldrx/rekt-googlecore | 77ea5f305c8c7b907bd9e5d8bf60f032077c8156 | [
"Apache-2.0"
] | null | null | null | __version__ = '0.2015.10.18'
from .client import GoogleAPIClient
from .errors import *
| 17.6 | 35 | 0.761364 | __version__ = '0.2015.10.18'
from .client import GoogleAPIClient
from .errors import *
| true | true |
08fe4466a98c732bfa5798498f5e5cfb4acdd8eb | 210 | py | Python | explore/urls.py | robpop/explore_engine | 21942c73b28b7b22351877b9772773dfdf298667 | [
"MIT"
] | null | null | null | explore/urls.py | robpop/explore_engine | 21942c73b28b7b22351877b9772773dfdf298667 | [
"MIT"
] | null | null | null | explore/urls.py | robpop/explore_engine | 21942c73b28b7b22351877b9772773dfdf298667 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
app_name = 'explore'
urlpatterns = [
path('', views.explore, name='explore'),
path('<slug:category>/', views.exploreCategory, name='exploreCategory')
] | 23.333333 | 75 | 0.7 | from django.urls import path
from . import views
app_name = 'explore'
urlpatterns = [
path('', views.explore, name='explore'),
path('<slug:category>/', views.exploreCategory, name='exploreCategory')
] | true | true |
08fe4582e66daf1b5f5b116fce68a5e0db349a30 | 5,621 | py | Python | tensorflow/compiler/tests/adadelta_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 190,993 | 2015-11-09T13:17:30.000Z | 2022-03-31T23:05:27.000Z | tensorflow/compiler/tests/adadelta_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 48,461 | 2015-11-09T14:21:11.000Z | 2022-03-31T23:17:33.000Z | tensorflow/compiler/tests/adadelta_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 104,981 | 2015-11-09T13:40:17.000Z | 2022-03-31T19:51:54.000Z | # Copyright 2018 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... | 40.438849 | 80 | 0.598114 |
import numpy as np
from tensorflow.compiler.tests import xla_test
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import resource_variable_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
from tensorflow.python.training import adadelta
class ... | true | true |
08fe45a22a6147f82916d916816efa645a4bc999 | 13,459 | py | Python | homeassistant/components/sensor/pollen.py | shanbs/home-assistant | 818776d2b4f11e4f51992dc88bc0a6f9055833b2 | [
"Apache-2.0"
] | 1 | 2019-03-08T02:19:14.000Z | 2019-03-08T02:19:14.000Z | homeassistant/components/sensor/pollen.py | shanbs/home-assistant | 818776d2b4f11e4f51992dc88bc0a6f9055833b2 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/sensor/pollen.py | shanbs/home-assistant | 818776d2b4f11e4f51992dc88bc0a6f9055833b2 | [
"Apache-2.0"
] | 1 | 2019-12-18T20:06:33.000Z | 2019-12-18T20:06:33.000Z | """Support for Pollen.com allergen and cold/flu sensors."""
from datetime import timedelta
import logging
from statistics import mean
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION, ATTR_STATE, CONF_MONITORED_CONDITIONS)
from... | 33.150246 | 79 | 0.617877 | from datetime import timedelta
import logging
from statistics import mean
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION, ATTR_STATE, CONF_MONITORED_CONDITIONS)
from homeassistant.helpers import aiohttp_client
import homeassi... | true | true |
08fe470fa47886ec1aa65f917984bd3bb3e0b44f | 470 | py | Python | mypybox/__init__.py | d-bouvier/mypybox | 27d1f8eccce57b2a13f388a1f7a8574023d59938 | [
"BSD-3-Clause"
] | null | null | null | mypybox/__init__.py | d-bouvier/mypybox | 27d1f8eccce57b2a13f388a1f7a8574023d59938 | [
"BSD-3-Clause"
] | null | null | null | mypybox/__init__.py | d-bouvier/mypybox | 27d1f8eccce57b2a13f388a1f7a8574023d59938 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Python toolboxes for math functions, personalized plots and other things.
Notes
-----
Developed for Python 3.6.1
@author: d-bouvier (bouvierdamien@gmail.com)
"""
__author__ = "Damien Bouvier"
__maintainer__ = "Damien Bouvier"
__version__ = "0.3"
__author_email__ = 'bouvierdamien@gmail.com'... | 21.363636 | 73 | 0.723404 |
__author__ = "Damien Bouvier"
__maintainer__ = "Damien Bouvier"
__version__ = "0.3"
__author_email__ = 'bouvierdamien@gmail.com'
from . import mathbox
from . import savebox
from . import plotbox
from . import utilities
__all__ = ['mathbox', 'savebox', 'plotbox', 'utilities']
| true | true |
08fe473accf1b7c16489dfaba1577ba89af1a5d8 | 2,408 | py | Python | dart/experiments/tools/noise.py | fpirovan/NoiseInjection | d1a8c90aaf45d435d40c476a2d2e74258920ff22 | [
"RSA-MD"
] | null | null | null | dart/experiments/tools/noise.py | fpirovan/NoiseInjection | d1a8c90aaf45d435d40c476a2d2e74258920ff22 | [
"RSA-MD"
] | null | null | null | dart/experiments/tools/noise.py | fpirovan/NoiseInjection | d1a8c90aaf45d435d40c476a2d2e74258920ff22 | [
"RSA-MD"
] | 2 | 2020-11-06T06:57:35.000Z | 2021-04-26T13:23:35.000Z | import numpy as np
import statistics
def sample_covariance_lnr(env, lnr, sup, samples, T):
cov = np.zeros(env.action_space.shape[0])
for s in range(samples):
states, tmp_actions, _, _ = statistics.collect_traj(env, lnr, T)
sup_actions = np.array([sup.intended_action(s) for s in states])
... | 35.411765 | 85 | 0.6549 | import numpy as np
import statistics
def sample_covariance_lnr(env, lnr, sup, samples, T):
cov = np.zeros(env.action_space.shape[0])
for s in range(samples):
states, tmp_actions, _, _ = statistics.collect_traj(env, lnr, T)
sup_actions = np.array([sup.intended_action(s) for s in states])
... | true | true |
08fe4815ece535ece500a1de517191f04e0d6886 | 756 | py | Python | ch04/gradient_method.py | tmsick/deep-learning-from-scratch | 96c52aeb74eb77bbfce505a47bbdcdba70e47559 | [
"MIT"
] | null | null | null | ch04/gradient_method.py | tmsick/deep-learning-from-scratch | 96c52aeb74eb77bbfce505a47bbdcdba70e47559 | [
"MIT"
] | null | null | null | ch04/gradient_method.py | tmsick/deep-learning-from-scratch | 96c52aeb74eb77bbfce505a47bbdcdba70e47559 | [
"MIT"
] | null | null | null | # coding: utf-8
import numpy as np
import matplotlib.pylab as plt
from gradient_2d import numerical_gradient
def gradient_descent(f, init_x, lr=0.01, step_num=100):
x = init_x
x_history = []
for i in range(step_num):
x_history.append(x.copy())
grad = numerical_gradient(f, x)
x -=... | 19.384615 | 77 | 0.612434 | import numpy as np
import matplotlib.pylab as plt
from gradient_2d import numerical_gradient
def gradient_descent(f, init_x, lr=0.01, step_num=100):
x = init_x
x_history = []
for i in range(step_num):
x_history.append(x.copy())
grad = numerical_gradient(f, x)
x -= lr * grad
... | true | true |
08fe48afff591605c88865d0e75ca61c751a3c01 | 22,892 | py | Python | eventstore/test_forms.py | praekeltfoundation/ndoh-hub | 91d834ff8fe43b930a73d8debdaa0e6af78c5efc | [
"BSD-3-Clause"
] | null | null | null | eventstore/test_forms.py | praekeltfoundation/ndoh-hub | 91d834ff8fe43b930a73d8debdaa0e6af78c5efc | [
"BSD-3-Clause"
] | 126 | 2016-07-12T19:39:44.000Z | 2022-03-24T13:39:38.000Z | eventstore/test_forms.py | praekeltfoundation/ndoh-hub | 91d834ff8fe43b930a73d8debdaa0e6af78c5efc | [
"BSD-3-Clause"
] | 3 | 2016-09-28T13:16:11.000Z | 2020-11-07T15:32:37.000Z | from unittest import mock
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from eventstore.forms import MomConnectImportForm
from eventstore.models import ImportRow, MomConnectImport
from registrations.models import ClinicCode
class MomConnectImportFormTests(TestCase):
... | 40.020979 | 88 | 0.601127 | from unittest import mock
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from eventstore.forms import MomConnectImportForm
from eventstore.models import ImportRow, MomConnectImport
from registrations.models import ClinicCode
class MomConnectImportFormTests(TestCase):
... | true | true |
08fe49615d35e4a9f4665404fd6bb10c87e9f620 | 139 | py | Python | ThreeBotPackages/threefold/gridnetwork/GridNetworkFactory.py | jimbertools/jumpscaleX_threebot | 9909aa270a1f5d04350c440ad787d755b905c456 | [
"Apache-2.0"
] | null | null | null | ThreeBotPackages/threefold/gridnetwork/GridNetworkFactory.py | jimbertools/jumpscaleX_threebot | 9909aa270a1f5d04350c440ad787d755b905c456 | [
"Apache-2.0"
] | null | null | null | ThreeBotPackages/threefold/gridnetwork/GridNetworkFactory.py | jimbertools/jumpscaleX_threebot | 9909aa270a1f5d04350c440ad787d755b905c456 | [
"Apache-2.0"
] | null | null | null | from Jumpscale import j
class GridNetworkFactory(j.baseclasses.threebot_factory):
__jslocation__ = "j.threebot.package.grid_network" | 23.166667 | 57 | 0.81295 | from Jumpscale import j
class GridNetworkFactory(j.baseclasses.threebot_factory):
__jslocation__ = "j.threebot.package.grid_network" | true | true |
08fe496b920c94e083d076a94a667041631c9022 | 992 | py | Python | DomoticControl/DomoticControl/datahandler.py | apuly/domotic | d9646373a077c233c2c16a15bc26f5c4a5d0ce1e | [
"MIT"
] | null | null | null | DomoticControl/DomoticControl/datahandler.py | apuly/domotic | d9646373a077c233c2c16a15bc26f5c4a5d0ce1e | [
"MIT"
] | null | null | null | DomoticControl/DomoticControl/datahandler.py | apuly/domotic | d9646373a077c233c2c16a15bc26f5c4a5d0ce1e | [
"MIT"
] | null | null | null | #import packets.base_protocol as packets
from lib.uuid64 import uuid64
import ctypes
import time
import struct
from protocols.v1.protocol import protocol as protocol_v1
#number of bytes that indicate the length of a packet
#actual number of bytes will be limited to 384 bytes as per bluetooth mesh specification
FRAME_... | 31 | 88 | 0.69254 | from lib.uuid64 import uuid64
import ctypes
import time
import struct
from protocols.v1.protocol import protocol as protocol_v1
FRAME_LENGTH_SIZE = 2
class DataHandler():
def __init__(self, dc_info):
self._info = dc_info
self._protocols = [protocol_v1(dc_info)]
def handle(self, data):
... | true | true |
08fe4a53377e9e0ed0ba0db9c454925822476a3d | 10,358 | py | Python | plugins/modules/oci_file_storage_file_system_facts.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_file_storage_file_system_facts.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_file_storage_file_system_facts.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2017, 2020 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 34.64214 | 133 | 0.610446 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_file_storage_file_system_facts
short_description: Fetches details about one or ... | true | true |
08fe4a5c623269f5a4cbd822790dcad047c9e186 | 784 | py | Python | percentCal.py | ttreed/percentCal | 57ba36725832db50f88987dd02f5b108ba5ed85a | [
"MIT"
] | null | null | null | percentCal.py | ttreed/percentCal | 57ba36725832db50f88987dd02f5b108ba5ed85a | [
"MIT"
] | null | null | null | percentCal.py | ttreed/percentCal | 57ba36725832db50f88987dd02f5b108ba5ed85a | [
"MIT"
] | null | null | null | import time
def calculate():
percent = eval(input("\nEnter the percent you want to calculate.\n\nPercent must be in decimal form!: "))
percentNum = eval(input("\nEnter the number you want a percentage of: "))
result = (percent) * (percentNum)
print (percent,"percent of", percentNum, "is", result)
... | 29.037037 | 109 | 0.589286 | import time
def calculate():
percent = eval(input("\nEnter the percent you want to calculate.\n\nPercent must be in decimal form!: "))
percentNum = eval(input("\nEnter the number you want a percentage of: "))
result = (percent) * (percentNum)
print (percent,"percent of", percentNum, "is", result)
... | true | true |
08fe4be455473bc50a9080823cb973bda0c8e29f | 1,453 | py | Python | tests/test_vcs_put_png_on_canvas.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 11 | 2018-10-10T03:14:33.000Z | 2022-01-05T14:18:15.000Z | tests/test_vcs_put_png_on_canvas.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 196 | 2018-03-21T19:44:56.000Z | 2021-12-21T21:56:24.000Z | tests/test_vcs_put_png_on_canvas.py | scottwittenburg/vcs | 5b9f17fb78f7ab186fc0132ab81ada043a7ba348 | [
"BSD-3-Clause"
] | 5 | 2019-12-09T21:54:45.000Z | 2022-03-20T04:22:14.000Z | import os
import vcs
import basevcstest
class TestVCSPNG(basevcstest.VCSBaseTest):
def __init__(self, *args, **kwargs):
kwargs['geometry'] = {"width": 1200, "height": 800}
self.png = os.path.join(vcs.sample_data, "BlueMarble.ppm")
super(TestVCSPNG, self).__init__(*args, **kwargs)
def ... | 33.790698 | 78 | 0.511356 | import os
import vcs
import basevcstest
class TestVCSPNG(basevcstest.VCSBaseTest):
def __init__(self, *args, **kwargs):
kwargs['geometry'] = {"width": 1200, "height": 800}
self.png = os.path.join(vcs.sample_data, "BlueMarble.ppm")
super(TestVCSPNG, self).__init__(*args, **kwargs)
def ... | true | true |
08fe4be5de7fe921776f6cf2d02dffc58e3b77c3 | 2,786 | py | Python | check_asset_distribution.py | alexeykiselev/waves-tools | 7f195cf809ec238e585620b8d00c526128b3bc71 | [
"MIT"
] | null | null | null | check_asset_distribution.py | alexeykiselev/waves-tools | 7f195cf809ec238e585620b8d00c526128b3bc71 | [
"MIT"
] | null | null | null | check_asset_distribution.py | alexeykiselev/waves-tools | 7f195cf809ec238e585620b8d00c526128b3bc71 | [
"MIT"
] | null | null | null | import sys
import requests
def current_height(node):
response = requests.get(f'{node}/blocks/height').json()
if response and 'height' in response:
return response['height']
else:
return 0
def asset_info(node, asset):
response = requests.get(f'{node}/assets/details/{asset}').json()
... | 29.638298 | 103 | 0.552046 | import sys
import requests
def current_height(node):
response = requests.get(f'{node}/blocks/height').json()
if response and 'height' in response:
return response['height']
else:
return 0
def asset_info(node, asset):
response = requests.get(f'{node}/assets/details/{asset}').json()
... | true | true |
08fe4c4714b117778331634a6b680494308a3058 | 5,362 | py | Python | corrscope/utils/scipy/signal.py | beetrootpaul/corrscope | 79f443da068efe3d83b871f226ff8b59083bc8b7 | [
"BSD-2-Clause"
] | 1 | 2018-08-07T10:52:08.000Z | 2018-08-07T10:52:08.000Z | corrscope/utils/scipy/signal.py | beetrootpaul/corrscope | 79f443da068efe3d83b871f226ff8b59083bc8b7 | [
"BSD-2-Clause"
] | 65 | 2018-07-15T11:42:43.000Z | 2018-12-22T09:19:36.000Z | corrscope/utils/scipy/signal.py | jimbo1qaz/ovgenpy | ca3d4ae61e66de2907fd01004afe23af8f5d374a | [
"BSD-2-Clause"
] | null | null | null | from bisect import bisect_left
import numpy as np
def correlate_valid(buffer: np.ndarray, kernel: np.ndarray) -> np.ndarray:
"""
Based on scipy.correlate. buffer must be longer (or equal) to kernel. Returns an
array of length (buffer - kernel + 1) without edge effects, much like mode="valid".
"""
... | 31.727811 | 87 | 0.59157 | from bisect import bisect_left
import numpy as np
def correlate_valid(buffer: np.ndarray, kernel: np.ndarray) -> np.ndarray:
buffer = np.asarray(buffer)
kernel = np.asarray(kernel)
assert buffer.ndim == kernel.ndim == 1
kernel = _reverse_and_conj(kernel)
kernel_support = len(kernel) - 1
... | true | true |
08fe4df88b127ae71c4eb7da906b2c1746475650 | 30 | py | Python | ldaptor/test/__init__.py | arossert/ldaptor | 6ed55a380f05dd47aa0d03ead0ff214e26399df0 | [
"MIT"
] | 133 | 2015-02-03T08:40:56.000Z | 2022-03-26T06:36:36.000Z | ldaptor/test/__init__.py | arossert/ldaptor | 6ed55a380f05dd47aa0d03ead0ff214e26399df0 | [
"MIT"
] | 193 | 2015-01-02T00:35:01.000Z | 2022-03-12T15:00:04.000Z | ldaptor/test/__init__.py | arossert/ldaptor | 6ed55a380f05dd47aa0d03ead0ff214e26399df0 | [
"MIT"
] | 51 | 2015-05-08T08:11:07.000Z | 2021-07-28T02:52:02.000Z | """Unit tests for Ldaptor."""
| 15 | 29 | 0.633333 | true | true | |
08fe4ec41f5186625270ef778d3de21ea4d1f5da | 5,314 | py | Python | venv/lib/python3.9/site-packages/crefi.py | BravoHaruki/api_auto_test | 31a61609a7d4d39b361169c5b1aeedc604abb8af | [
"MIT"
] | null | null | null | venv/lib/python3.9/site-packages/crefi.py | BravoHaruki/api_auto_test | 31a61609a7d4d39b361169c5b1aeedc604abb8af | [
"MIT"
] | null | null | null | venv/lib/python3.9/site-packages/crefi.py | BravoHaruki/api_auto_test | 31a61609a7d4d39b361169c5b1aeedc604abb8af | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import errno
import argparse
from version import __version__
from multiprocessing import Process
from crefi_helper import singledir, multipledir
def multiple(mnt_pnt, brdth, depth, files, fop, file_type="text", inter="1000",
size="100K", mins="10K", maxs="500K", rand=False, l... | 42.854839 | 79 | 0.543846 |
import os
import errno
import argparse
from version import __version__
from multiprocessing import Process
from crefi_helper import singledir, multipledir
def multiple(mnt_pnt, brdth, depth, files, fop, file_type="text", inter="1000",
size="100K", mins="10K", maxs="500K", rand=False, l=10,
... | false | true |
08fe4f3b2190e488b6a0084e3dd827f42951bf3f | 1,161 | py | Python | torchvision/models/video/r3d.py | stevehuanghe/vision | 2287c8f2dc9dcad955318cc022cabe4d53051f65 | [
"BSD-3-Clause"
] | 2 | 2020-10-09T13:35:59.000Z | 2021-08-22T15:17:28.000Z | torchvision/models/video/r3d.py | seominseok0429/vision | 9168476a9cb28b308d8314a1faf4da6262806154 | [
"BSD-3-Clause"
] | 1 | 2019-09-17T18:23:37.000Z | 2019-09-17T18:23:37.000Z | torchvision/models/video/r3d.py | seominseok0429/vision | 9168476a9cb28b308d8314a1faf4da6262806154 | [
"BSD-3-Clause"
] | null | null | null | import torch.nn as nn
from ._utils import Conv3DSimple
from .video_stems import get_default_stem
from .video_trunk import VideoTrunkBuilder, BasicBlock, Bottleneck
__all__ = ["r3d_18"]
def _r3d(model_depth, use_pool1=False, **kwargs):
"""Constructor of a r3d network as in
https://arxiv.org/abs/1711.11248
... | 26.386364 | 92 | 0.670973 | import torch.nn as nn
from ._utils import Conv3DSimple
from .video_stems import get_default_stem
from .video_trunk import VideoTrunkBuilder, BasicBlock, Bottleneck
__all__ = ["r3d_18"]
def _r3d(model_depth, use_pool1=False, **kwargs):
conv_makers = [Conv3DSimple] * 4
if model_depth < 50:
block = Ba... | true | true |
08fe4f88d9583296286cb6f8d9d0bc126e6009e4 | 55,915 | py | Python | zesysman/zesys/stub.py | TApplencourt/level-zero-tests | 7983a11cbfb8a815af0296e3400f59f635107f67 | [
"MIT"
] | 32 | 2020-03-05T19:26:02.000Z | 2022-02-21T13:13:52.000Z | zesysman/zesys/stub.py | TApplencourt/level-zero-tests | 7983a11cbfb8a815af0296e3400f59f635107f67 | [
"MIT"
] | 9 | 2020-05-04T20:15:09.000Z | 2021-12-19T07:17:50.000Z | zesysman/zesys/stub.py | TApplencourt/level-zero-tests | 7983a11cbfb8a815af0296e3400f59f635107f67 | [
"MIT"
] | 19 | 2020-04-07T16:00:48.000Z | 2022-01-19T00:19:49.000Z | #!/usr/bin/env python3
# Copyright (C) 2020 Intel Corporation
# SPDX-License-Identifier: MIT
from . import logger
from . import state
from . import util
from zesys.zes_wrap import *
from zesys.types import *
def api():
#
# Default API stubs
#
# For stubs to retain state
state.stub = {}
# Stu... | 48.537326 | 109 | 0.610283 |
from . import logger
from . import state
from . import util
from zesys.zes_wrap import *
from zesys.types import *
def api():
state.stub = {}
def zesDeviceEnumTemperatureSensors(dev, count_ptr, handle_array):
if handle_array is None:
uint32_assign(count_ptr, 6)
... | true | true |
08fe4f9012997cbe6d647bc3c9748088207f6493 | 4,426 | py | Python | nested_admin/tests/nested_polymorphic/test_polymorphic_std/models.py | jpic/django-nested-admin | 338cf2129a233b9d1105041d19b59695a8b40a13 | [
"BSD-2-Clause"
] | 580 | 2015-03-15T06:34:35.000Z | 2022-03-24T21:05:16.000Z | nested_admin/tests/nested_polymorphic/test_polymorphic_std/models.py | jpic/django-nested-admin | 338cf2129a233b9d1105041d19b59695a8b40a13 | [
"BSD-2-Clause"
] | 204 | 2015-03-30T14:59:53.000Z | 2022-03-30T00:34:09.000Z | nested_admin/tests/nested_polymorphic/test_polymorphic_std/models.py | jpic/django-nested-admin | 338cf2129a233b9d1105041d19b59695a8b40a13 | [
"BSD-2-Clause"
] | 106 | 2015-04-29T21:26:06.000Z | 2022-01-19T19:16:23.000Z | from __future__ import unicode_literals
import django
from django.contrib.contenttypes.fields import GenericRelation, GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.db.models import ForeignKey, CASCADE
from nested_admin.tests.compat import python_2... | 28.012658 | 87 | 0.655219 | from __future__ import unicode_literals
import django
from django.contrib.contenttypes.fields import GenericRelation, GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.db.models import ForeignKey, CASCADE
from nested_admin.tests.compat import python_2... | true | true |
08fe5098710c80cd0f0b4d3e63862cc82f315d9f | 1,387 | py | Python | Port_Scanner.py | ofinley/Python-Security-Scripts | bf6a9358319d2ccc78aad3ab3f3fa652c642553b | [
"MIT"
] | null | null | null | Port_Scanner.py | ofinley/Python-Security-Scripts | bf6a9358319d2ccc78aad3ab3f3fa652c642553b | [
"MIT"
] | null | null | null | Port_Scanner.py | ofinley/Python-Security-Scripts | bf6a9358319d2ccc78aad3ab3f3fa652c642553b | [
"MIT"
] | null | null | null | import socket
from utils import timefunc
class Scanner:
def __init__(self, ip):
self.ip = ip
self.open_ports = [];
def __repr__(self): # Returns Target
return 'Scanner: {}'.format(self.ip)
def add_port(self, port): # Add open ports to array
self.open_ports.ap... | 28.895833 | 126 | 0.578226 | import socket
from utils import timefunc
class Scanner:
def __init__(self, ip):
self.ip = ip
self.open_ports = [];
def __repr__(self): return 'Scanner: {}'.format(self.ip)
def add_port(self, port): self.open_ports.append(port)
def scan(self, lowerport, u... | true | true |
08fe50c21a487b61cce358f0898fe88a0344b8b8 | 7,688 | py | Python | ganb_personal_client/models/va_status_code.py | k0uki/gmo-aozora-api-python | 3715f4c16957d239a82313d904e29a64998196f0 | [
"MIT"
] | 8 | 2019-05-21T05:10:35.000Z | 2021-08-11T04:59:42.000Z | ganb_personal_client/models/va_status_code.py | k0uki/gmo-aozora-api-python | 3715f4c16957d239a82313d904e29a64998196f0 | [
"MIT"
] | 2 | 2019-05-24T09:42:06.000Z | 2020-06-05T02:49:29.000Z | ganb_personal_client/models/va_status_code.py | k0uki/gmo-aozora-api-python | 3715f4c16957d239a82313d904e29a64998196f0 | [
"MIT"
] | 6 | 2019-05-22T01:57:19.000Z | 2021-12-16T13:33:58.000Z | # coding: utf-8
"""
GMO Aozora Net Bank Open API
<p>オープンAPI仕様書（PDF版）は下記リンクをご参照ください</p> <div> <div style='display:inline-block;'><a style='text-decoration:none; font-weight:bold; color:#00b8d4;' href='https://gmo-aozora.com/business/service/api-specification.html' target='_blank'>オープンAPI仕様書</a></div><div sty... | 63.016393 | 4,061 | 0.638528 |
import pprint
import re
import six
class VaStatusCode(object):
swagger_types = {
'va_status_code': 'str'
}
attribute_map = {
'va_status_code': 'vaStatusCode'
}
def __init__(self, va_status_code=None):
self._va_status_code = None
self.discriminator = None
... | true | true |
08fe512a2ea84dd726cd82e5287055d68d2d1626 | 944 | py | Python | tests/test_mod_send.py | laplacetw/botlegram | ee08512c7612c8c8193615b383dcf7b6007db505 | [
"MIT"
] | null | null | null | tests/test_mod_send.py | laplacetw/botlegram | ee08512c7612c8c8193615b383dcf7b6007db505 | [
"MIT"
] | null | null | null | tests/test_mod_send.py | laplacetw/botlegram | ee08512c7612c8c8193615b383dcf7b6007db505 | [
"MIT"
] | null | null | null | #!usr/bin/python3
# coding:utf-8
import os
import pytest
import requests as rq
from botlegram.utils.send import Send
token = os.environ['TOKEN']
chat_id = os.environ['CHAT_ID']
voice_id = os.environ['VOICE_ID']
audio_id = os.environ['AUDIO_ID']
api = "https://api.telegram.org/bot" + token + "/"
test = Send()
test.API ... | 26.971429 | 92 | 0.694915 | import os
import pytest
import requests as rq
from botlegram.utils.send import Send
token = os.environ['TOKEN']
chat_id = os.environ['CHAT_ID']
voice_id = os.environ['VOICE_ID']
audio_id = os.environ['AUDIO_ID']
api = "https://api.telegram.org/bot" + token + "/"
test = Send()
test.API = api
def test_forward_message()... | true | true |
08fe5252b1626321f7c938a327cabafc3019549d | 328 | py | Python | python/advanced/generator.py | mum-chen/Language-learning | 95ec7b91ee2ce50ba69a82c1b1e47ece5fe63012 | [
"MIT"
] | null | null | null | python/advanced/generator.py | mum-chen/Language-learning | 95ec7b91ee2ce50ba69a82c1b1e47ece5fe63012 | [
"MIT"
] | null | null | null | python/advanced/generator.py | mum-chen/Language-learning | 95ec7b91ee2ce50ba69a82c1b1e47ece5fe63012 | [
"MIT"
] | null | null | null | print ' gen with compre '
L = [x * x for x in range(10)]
print L
g = (x * x for x in range(10))
print g
for n in g:
print n
print ' gen with function '
def fib(max):
n, a, b = 0, 0, 1
while n < max:
# case next yield
yield b
a, b = b, a + b
n = n + 1
for n in fib(6):
... | 14.909091 | 30 | 0.493902 | print ' gen with compre '
L = [x * x for x in range(10)]
print L
g = (x * x for x in range(10))
print g
for n in g:
print n
print ' gen with function '
def fib(max):
n, a, b = 0, 0, 1
while n < max:
yield b
a, b = b, a + b
n = n + 1
for n in fib(6):
print n
| false | true |
08fe528632176bd9cc2de39af4f7066eb63c7216 | 1,747 | py | Python | guiutils.py | autonamaskar/opencv-gui-helper-tool | 02bc9f76c9a57bdec238c807661da58dd035a58b | [
"MIT"
] | 43 | 2018-05-24T12:52:18.000Z | 2021-09-21T06:41:04.000Z | guiutils.py | autonamaskar/opencv-gui-helper-tool | 02bc9f76c9a57bdec238c807661da58dd035a58b | [
"MIT"
] | null | null | null | guiutils.py | autonamaskar/opencv-gui-helper-tool | 02bc9f76c9a57bdec238c807661da58dd035a58b | [
"MIT"
] | 22 | 2018-05-24T12:52:24.000Z | 2022-03-24T06:42:07.000Z | import cv2
class EdgeFinder:
def __init__(self, image, filter_size=1, threshold1=0, threshold2=0):
self.image = image
self._filter_size = filter_size
self._threshold1 = threshold1
self._threshold2 = threshold2
def onchangeThreshold1(pos):
self._threshold1 = pos... | 29.610169 | 117 | 0.644533 | import cv2
class EdgeFinder:
def __init__(self, image, filter_size=1, threshold1=0, threshold2=0):
self.image = image
self._filter_size = filter_size
self._threshold1 = threshold1
self._threshold2 = threshold2
def onchangeThreshold1(pos):
self._threshold1 = pos... | false | true |
08fe534950a33aa92c290bdf080da17beacfd13b | 46,623 | py | Python | test/test_optimizers.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | test/test_optimizers.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | test/test_optimizers.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 IBM 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.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.45898 | 134 | 0.631641 |
import unittest
import warnings
from test import EnableSchemaValidation
import jsonschema
import numpy as np
import sklearn.datasets
import lale.schemas as schemas
from lale.lib.lale import SMAC, ConcatFeatures, GridSearchCV, Hyperopt, NoOp
from lale.lib.sklearn import (
PCA,
KNeighborsClassifier,
KNeigh... | true | true |
08fe544e9668a12fda53def43fb8875b173e6723 | 170 | py | Python | main.py | Shaza-Is/Re-IDOL | 5db3d950b2d3d8dbdbcafa77803b271c01e3ada1 | [
"Apache-2.0"
] | 2 | 2021-11-16T02:23:09.000Z | 2022-03-01T07:40:35.000Z | main.py | Shaza-Is/Re-IDOL | 5db3d950b2d3d8dbdbcafa77803b271c01e3ada1 | [
"Apache-2.0"
] | null | null | null | main.py | Shaza-Is/Re-IDOL | 5db3d950b2d3d8dbdbcafa77803b271c01e3ada1 | [
"Apache-2.0"
] | null | null | null | import os
from dotenv import load_dotenv
from app.api.command import CommandLine
def main():
CommandLine()
if __name__ == "__main__":
load_dotenv()
main() | 14.166667 | 39 | 0.705882 | import os
from dotenv import load_dotenv
from app.api.command import CommandLine
def main():
CommandLine()
if __name__ == "__main__":
load_dotenv()
main() | true | true |
08fe547a94651b6f6d281a0ead7a8fcd14082a92 | 10,890 | py | Python | phonopy/cui/collect_cell_info.py | dftbplus/phonopy | 32d3d52902c314c7f00192d10f7a156d0a8341c9 | [
"BSD-3-Clause"
] | null | null | null | phonopy/cui/collect_cell_info.py | dftbplus/phonopy | 32d3d52902c314c7f00192d10f7a156d0a8341c9 | [
"BSD-3-Clause"
] | 4 | 2018-09-18T08:12:43.000Z | 2020-10-20T23:37:28.000Z | phonopy/cui/collect_cell_info.py | dftbplus/phonopy | 32d3d52902c314c7f00192d10f7a156d0a8341c9 | [
"BSD-3-Clause"
] | 1 | 2018-09-13T09:32:01.000Z | 2018-09-13T09:32:01.000Z | # Copyright (C) 2018 Atsushi Togo
# All rights reserved.
#
# This file is part of phonopy.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notic... | 35.822368 | 78 | 0.640771 |
import numpy as np
from phonopy.interface.calculator import (
read_crystal_structure, get_default_cell_filename)
from phonopy.interface.vasp import read_vasp
from phonopy.interface.phonopy_yaml import PhonopyYaml
def collect_cell_info(supercell_matrix=None,
primitive_matrix=None,
... | true | true |
08fe55fb0e42fe7cdba2dbe1d88dba1f33877c2e | 455 | py | Python | api/views.py | inziani/goodreads | 947259e6a78450dca2760c66245227d264476062 | [
"Unlicense"
] | null | null | null | api/views.py | inziani/goodreads | 947259e6a78450dca2760c66245227d264476062 | [
"Unlicense"
] | null | null | null | api/views.py | inziani/goodreads | 947259e6a78450dca2760c66245227d264476062 | [
"Unlicense"
] | null | null | null | from django.shortcuts import render
from rest_framework import generics
from books.models import Book
from users.models import Profile
from .serializers import BookSerializer, ProfileSerializer
# Create your views here.
class BookAPIView(generics.ListAPIView):
queryset = Book.objects.all()
serializer_class = B... | 26.764706 | 58 | 0.813187 | from django.shortcuts import render
from rest_framework import generics
from books.models import Book
from users.models import Profile
from .serializers import BookSerializer, ProfileSerializer
class BookAPIView(generics.ListAPIView):
queryset = Book.objects.all()
serializer_class = BookSerializer
class Profi... | true | true |
08fe56025c19e63e3b6a51fa7646aab7d5776bc5 | 1,098 | py | Python | deprecated_examples/multimedia/mmimdb_cca.py | TianhaoFu/MultiBench | b174a3187124d6f92be1ff3b487eef292f7883bb | [
"MIT"
] | null | null | null | deprecated_examples/multimedia/mmimdb_cca.py | TianhaoFu/MultiBench | b174a3187124d6f92be1ff3b487eef292f7883bb | [
"MIT"
] | null | null | null | deprecated_examples/multimedia/mmimdb_cca.py | TianhaoFu/MultiBench | b174a3187124d6f92be1ff3b487eef292f7883bb | [
"MIT"
] | null | null | null | import sys
import os
sys.path.append(os.getcwd())
import torch
from training_structures.cca_onestage import train, test
from fusions.common_fusions import Concat
from datasets.imdb.get_data import get_dataloader
from unimodals.common_models import MLP, VGG16, Linear, MaxOut_MLP
traindata, validdata, testdata = get_d... | 37.862069 | 118 | 0.770492 | import sys
import os
sys.path.append(os.getcwd())
import torch
from training_structures.cca_onestage import train, test
from fusions.common_fusions import Concat
from datasets.imdb.get_data import get_dataloader
from unimodals.common_models import MLP, VGG16, Linear, MaxOut_MLP
traindata, validdata, testdata = get_d... | true | true |
08fe565bc96a7beb8c80e0b564102f40d5948895 | 6,420 | py | Python | chainer/training/extensions/plot_report.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | 1 | 2020-05-28T10:07:25.000Z | 2020-05-28T10:07:25.000Z | chainer/training/extensions/plot_report.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | null | null | null | chainer/training/extensions/plot_report.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | 1 | 2022-02-20T10:32:59.000Z | 2022-02-20T10:32:59.000Z | import json
from os import path
import warnings
import numpy
import six
from chainer import reporter
from chainer import serializer as serializer_module
from chainer.training import extension
from chainer.training import trigger as trigger_module
try:
import matplotlib # NOQA
_available = True
except (Im... | 34.702703 | 79 | 0.600779 | import json
from os import path
import warnings
import numpy
import six
from chainer import reporter
from chainer import serializer as serializer_module
from chainer.training import extension
from chainer.training import trigger as trigger_module
try:
import matplotlib
_available = True
except (ImportErr... | true | true |
08fe56d93708c49360c433e383950084a02db419 | 8,755 | py | Python | doc/source/conf.py | wsoula/jenkins-job-builder | 2bff652b03bfcf0ab272e5cd0b5092472c201f7e | [
"Apache-2.0"
] | null | null | null | doc/source/conf.py | wsoula/jenkins-job-builder | 2bff652b03bfcf0ab272e5cd0b5092472c201f7e | [
"Apache-2.0"
] | null | null | null | doc/source/conf.py | wsoula/jenkins-job-builder | 2bff652b03bfcf0ab272e5cd0b5092472c201f7e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Jenkins Job Builder documentation build configuration file, created by
# sphinx-quickstart on Mon Sep 10 19:36:21 2012.
#
# This file is execfile()d with the current directory set to its containing dir
#
# Note that not all possible configuration values are present in this
# autogenerated fi... | 33.673077 | 79 | 0.707025 |
import os
import sys
from jenkins_jobs.version import version_info as jenkins_jobs_version
sys.path.insert(0, os.path.abspath('../..'))
sys.path.insert(0, os.path.abspath('../../jenkins_jobs/modules'))
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.coverage',
'jenkins_jobs.sphinx.yaml', 'sphinxcontr... | true | true |
08fe5b8fc02517d0bd0f62b8ba3252c5918566ce | 54,460 | py | Python | Amplo/Pipeline.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 2 | 2021-06-16T22:09:01.000Z | 2021-09-06T20:26:42.000Z | Amplo/Pipeline.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 1 | 2021-06-04T08:22:02.000Z | 2021-06-04T08:22:02.000Z | Amplo/Pipeline.py | nielsuit227/AutoML | 51e2076d52d76dc84a190293b5bb59da2833df89 | [
"MIT"
] | 1 | 2021-09-15T08:34:20.000Z | 2021-09-15T08:34:20.000Z | import re
import os
import time
import copy
import json
import Amplo
import joblib
import shutil
import warnings
import numpy as np
import pandas as pd
from tqdm import tqdm
from datetime import datetime
from shap import TreeExplainer
from sklearn import metrics
from sklearn.model_selection import KFold
from sklearn.m... | 41.667942 | 120 | 0.590488 | import re
import os
import time
import copy
import json
import Amplo
import joblib
import shutil
import warnings
import numpy as np
import pandas as pd
from tqdm import tqdm
from datetime import datetime
from shap import TreeExplainer
from sklearn import metrics
from sklearn.model_selection import KFold
from sklearn.m... | true | true |
08fe5ba01ff8a9c0121c9b4f6ab41522e37af2d2 | 3,751 | py | Python | aws_securityhub/icon_aws_securityhub/triggers/sqs_feed/trigger.py | emartin-merrill-r7/insightconnect-plugins | a589745dbcc9f01d3e601431e77ab7221a84c117 | [
"MIT"
] | null | null | null | aws_securityhub/icon_aws_securityhub/triggers/sqs_feed/trigger.py | emartin-merrill-r7/insightconnect-plugins | a589745dbcc9f01d3e601431e77ab7221a84c117 | [
"MIT"
] | null | null | null | aws_securityhub/icon_aws_securityhub/triggers/sqs_feed/trigger.py | emartin-merrill-r7/insightconnect-plugins | a589745dbcc9f01d3e601431e77ab7221a84c117 | [
"MIT"
] | null | null | null | import komand
import time
from .schema import SqsFeedInput, SqsFeedOutput, Input, Output, Component
import json
# Custom imports below
class SqsFeed(komand.Trigger):
def __init__(self):
super(self.__class__, self).__init__(
name="sqs_feed",
description=Component.DESCRIPTION,
... | 40.771739 | 495 | 0.579312 | import komand
import time
from .schema import SqsFeedInput, SqsFeedOutput, Input, Output, Component
import json
class SqsFeed(komand.Trigger):
def __init__(self):
super(self.__class__, self).__init__(
name="sqs_feed",
description=Component.DESCRIPTION,
input=SqsFeedIn... | true | true |
08fe5c03cd855beb3a3cbc3466b0440c7387097d | 1,095 | py | Python | src/appengine/driver.py | tomwilkie/awesomation | 708a0ff2ffd431f24ed3f942cafd24882dc89620 | [
"MIT"
] | 28 | 2015-01-12T15:34:37.000Z | 2021-06-17T14:27:49.000Z | src/appengine/driver.py | tomwilkie/awesomation | 708a0ff2ffd431f24ed3f942cafd24882dc89620 | [
"MIT"
] | 16 | 2015-01-11T21:46:08.000Z | 2015-02-06T17:01:50.000Z | src/appengine/driver.py | tomwilkie/awesomation | 708a0ff2ffd431f24ed3f942cafd24882dc89620 | [
"MIT"
] | 2 | 2015-01-10T17:34:23.000Z | 2015-01-10T18:38:01.000Z | """List drivers and send them commands."""
import logging
import flask
from appengine import device, rest
class Query(object):
def iter(self):
for name, cls in device.DEVICE_TYPES.iteritems():
yield Driver(name, cls)
class Driver(object):
"""This is a fake for compatibility with the rest module"""
... | 21.470588 | 75 | 0.675799 | import logging
import flask
from appengine import device, rest
class Query(object):
def iter(self):
for name, cls in device.DEVICE_TYPES.iteritems():
yield Driver(name, cls)
class Driver(object):
def __init__(self, name, cls):
self._name = name
self._cls = cls
def to_dict(self):
retu... | true | true |
08fe5d35166b8674701d4ed792b21635eb03ca65 | 19,010 | py | Python | AutomatedTesting/Gem/PythonTests/scripting/TestSuite_Periodic.py | LB-KatarzynaDylska/o3de | d8d273697ea8e1beeb698f62b84904a192b0ab76 | [
"Apache-2.0",
"MIT"
] | 1 | 2022-03-28T08:06:58.000Z | 2022-03-28T08:06:58.000Z | AutomatedTesting/Gem/PythonTests/scripting/TestSuite_Periodic.py | LB-KatarzynaDylska/o3de | d8d273697ea8e1beeb698f62b84904a192b0ab76 | [
"Apache-2.0",
"MIT"
] | null | null | null | AutomatedTesting/Gem/PythonTests/scripting/TestSuite_Periodic.py | LB-KatarzynaDylska/o3de | d8d273697ea8e1beeb698f62b84904a192b0ab76 | [
"Apache-2.0",
"MIT"
] | null | null | null | """
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
"""
import pytest
import os
import sys
sys.path.append(os.path.dirname(__file__))
import ImportPathHelper as impor... | 50.693333 | 146 | 0.691215 |
import pytest
import os
import sys
sys.path.append(os.path.dirname(__file__))
import ImportPathHelper as imports
imports.init()
import hydra_test_utils as hydra
import ly_test_tools.environment.file_system as file_system
from ly_test_tools import LAUNCHERS
from base import TestAutomationBase
TEST_DIRECTORY = os.pat... | true | true |
08fe5d354a743c3fd68616d229df06ba2fc1cb16 | 4,242 | py | Python | classifier_tuning.py | I-love-lamp/ml-apps | 71f65fc284bc68794acd4a39df3a5791fcba7c46 | [
"CC0-1.0"
] | null | null | null | classifier_tuning.py | I-love-lamp/ml-apps | 71f65fc284bc68794acd4a39df3a5791fcba7c46 | [
"CC0-1.0"
] | null | null | null | classifier_tuning.py | I-love-lamp/ml-apps | 71f65fc284bc68794acd4a39df3a5791fcba7c46 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
import streamlit as st
from sklearn import datasets
import pandas as pd
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklea... | 33.666667 | 84 | 0.638614 |
import streamlit as st
from sklearn import datasets
import pandas as pd
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accurac... | true | true |
08fe5d8ef6c6220511cefb90aa66549e8a0d888f | 5,084 | py | Python | openGaussBase/testcase/TOOLS/OPEN_TOOLS/SQLINES/Opengauss_Function_Tools_Sqlines_Case0006.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/TOOLS/OPEN_TOOLS/SQLINES/Opengauss_Function_Tools_Sqlines_Case0006.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/TOOLS/OPEN_TOOLS/SQLINES/Opengauss_Function_Tools_Sqlines_Case0006.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 37.109489 | 84 | 0.574351 |
import os
import unittest
from yat.test import Node
from yat.test import macro
from testcase.utils.Logger import Logger
class SqlinesTest(unittest.TestCase):
def setUp(self):
self.log = Logger()
self.log.info(f'----- {os.path.basename(__file__)} start-----')
self.root = Node('PrimaryRoot... | true | true |
08fe5dd473c045f7355db283e132f07708cf080c | 82 | py | Python | spatialpandas/io/__init__.py | isabella232/spatialpandas | 0a4e08ecf2c9e2f69c65c627cc353d88b6cd2807 | [
"BSD-2-Clause"
] | null | null | null | spatialpandas/io/__init__.py | isabella232/spatialpandas | 0a4e08ecf2c9e2f69c65c627cc353d88b6cd2807 | [
"BSD-2-Clause"
] | 1 | 2021-04-17T15:22:28.000Z | 2021-04-17T15:22:28.000Z | spatialpandas/io/__init__.py | isabella232/spatialpandas | 0a4e08ecf2c9e2f69c65c627cc353d88b6cd2807 | [
"BSD-2-Clause"
] | 1 | 2021-04-17T15:22:00.000Z | 2021-04-17T15:22:00.000Z | from .parquet import read_parquet, read_parquet_dask, to_parquet, to_parquet_dask
| 41 | 81 | 0.865854 | from .parquet import read_parquet, read_parquet_dask, to_parquet, to_parquet_dask
| true | true |
08fe5e81abc5c8e3555866511e10a416f7233535 | 49,966 | py | Python | src/hatchet/utils/BBeval.py | FrancisCrickInstitute/hatchet | a92992f3464f4df566ac4e9ff69069e736821b4b | [
"BSD-3-Clause"
] | null | null | null | src/hatchet/utils/BBeval.py | FrancisCrickInstitute/hatchet | a92992f3464f4df566ac4e9ff69069e736821b4b | [
"BSD-3-Clause"
] | null | null | null | src/hatchet/utils/BBeval.py | FrancisCrickInstitute/hatchet | a92992f3464f4df566ac4e9ff69069e736821b4b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
import os
import sys
import argparse
import shutil
import subprocess
import shlex
import sys, os
import math
import warnings
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import matplotlib.colors as col
from matpl... | 47.496198 | 241 | 0.57363 |
import os
import sys
import argparse
import shutil
import subprocess
import shlex
import sys, os
import math
import warnings
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import matplotlib.colors as col
from matplotlib.pyplot import... | true | true |
08fe5ee6e528eff2e1e5c023be500f4fa68edf87 | 12,105 | py | Python | revolt/http.py | Rexogamer/revolt.py | 63c5ab3b96830d26bfe15714bdcb12bd702aa4ba | [
"MIT"
] | 28 | 2021-08-17T23:25:48.000Z | 2021-12-16T00:13:05.000Z | revolt/http.py | Rexogamer/revolt.py | 63c5ab3b96830d26bfe15714bdcb12bd702aa4ba | [
"MIT"
] | 14 | 2021-08-31T06:00:12.000Z | 2021-12-28T22:59:08.000Z | revolt/http.py | Rexogamer/revolt.py | 63c5ab3b96830d26bfe15714bdcb12bd702aa4ba | [
"MIT"
] | 12 | 2021-08-18T00:55:53.000Z | 2021-11-20T16:58:18.000Z | from __future__ import annotations
from typing import (TYPE_CHECKING, Any, Coroutine, Literal, Optional, TypeVar,
Union, overload)
import aiohttp
import ulid
from .errors import HTTPError, ServerError
from .file import File
try:
import ujson as _json
except ImportError:
import json as _j... | 34.098592 | 249 | 0.602396 | from __future__ import annotations
from typing import (TYPE_CHECKING, Any, Coroutine, Literal, Optional, TypeVar,
Union, overload)
import aiohttp
import ulid
from .errors import HTTPError, ServerError
from .file import File
try:
import ujson as _json
except ImportError:
import json as _j... | true | true |
08fe6003a923a07d010b70c027c7a88cd4db2d28 | 24,604 | py | Python | lib/datasets/ycb.py | asbe/PoseCNN | 0dc7f4f1d63908a43d5afc1ac4cf327ae88c658c | [
"MIT"
] | null | null | null | lib/datasets/ycb.py | asbe/PoseCNN | 0dc7f4f1d63908a43d5afc1ac4cf327ae88c658c | [
"MIT"
] | null | null | null | lib/datasets/ycb.py | asbe/PoseCNN | 0dc7f4f1d63908a43d5afc1ac4cf327ae88c658c | [
"MIT"
] | 1 | 2018-06-24T14:48:59.000Z | 2018-06-24T14:48:59.000Z | __author__ = 'yuxiang'
import os
import datasets
import datasets.ycb
import datasets.imdb
import pickle
import numpy as np
import cv2
from fcn.config import cfg
from utils.pose_error import *
from transforms3d.quaternions import quat2mat, mat2quat
class ycb(datasets.imdb):
def __init__(self, image_set, ycb_path =... | 43.013986 | 177 | 0.524915 | __author__ = 'yuxiang'
import os
import datasets
import datasets.ycb
import datasets.imdb
import pickle
import numpy as np
import cv2
from fcn.config import cfg
from utils.pose_error import *
from transforms3d.quaternions import quat2mat, mat2quat
class ycb(datasets.imdb):
def __init__(self, image_set, ycb_path =... | true | true |
08fe601919362576c857a3d6046c989411a2ca31 | 2,486 | py | Python | var/spack/repos/builtin/packages/autoconf/package.py | plamborn/spack | e2ec1c76cecaa2f21690994ba017fe942b37f780 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/autoconf/package.py | plamborn/spack | e2ec1c76cecaa2f21690994ba017fe942b37f780 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/autoconf/package.py | plamborn/spack | e2ec1c76cecaa2f21690994ba017fe942b37f780 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # 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 *
class Autoconf(AutotoolsPackage, GNUMirrorPackage):
"""Autoconf -- system configuration part of ... | 40.754098 | 94 | 0.636766 |
from spack import *
class Autoconf(AutotoolsPackage, GNUMirrorPackage):
homepage = 'https://www.gnu.org/software/autoconf/'
gnu_mirror_path = 'autoconf/autoconf-2.69.tar.gz'
version('2.69', sha256='954bd69b391edc12d6a4a51a2dd1476543da5c6bbf05a95b59dc0dd6fd4c2969')
version('2.62', sha256='83aa747e64... | true | true |
08fe61a0473ee84668860a1ee75cb29e10ba7f41 | 1,154 | py | Python | testagent/utils/Singleton.py | patriziotufarolo/testagent | daf1a56bd208704dfd61d4c9f779f4ad7ee7d6cd | [
"BSD-3-Clause"
] | 1 | 2016-07-12T15:34:36.000Z | 2016-07-12T15:34:36.000Z | testagent/utils/Singleton.py | patriziotufarolo/testagent | daf1a56bd208704dfd61d4c9f779f4ad7ee7d6cd | [
"BSD-3-Clause"
] | null | null | null | testagent/utils/Singleton.py | patriziotufarolo/testagent | daf1a56bd208704dfd61d4c9f779f4ad7ee7d6cd | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
from functools import wraps
from testagent.exceptions.SingletonException import SingletonException
__author__ = 'patrizio'
class Singleton(object):
_instances = {}
_configured = False
def __new__(class_, *args, **kwargs):
if class_ not in class_._instances:
... | 31.189189 | 97 | 0.655113 | from __future__ import absolute_import
from functools import wraps
from testagent.exceptions.SingletonException import SingletonException
__author__ = 'patrizio'
class Singleton(object):
_instances = {}
_configured = False
def __new__(class_, *args, **kwargs):
if class_ not in class_._instances:
... | true | true |
08fe623e73d90864c36c02bb8f5e3d14b766eb32 | 213 | py | Python | Q6.1_brain_teasers.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | Q6.1_brain_teasers.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | Q6.1_brain_teasers.py | latika18/learning | a57c9aacc0157bf7c318f46c1e7c4971d1d55aea | [
"Unlicense"
] | null | null | null | Add arithmetic operators (plus, minus, times, divide) to make the following expression true: 3 1 3 6 = 8. You can use any parentheses you’d like.
_
________________________________________________________________
| 53.25 | 145 | 0.821596 | Add arithmetic operators (plus, minus, times, divide) to make the following expression true: 3 1 3 6 = 8. You can use any parentheses you’d like.
_
________________________________________________________________
| false | true |
08fe62ce7561eec1aa6385b3c60742ff1a8c7c3a | 538 | py | Python | ex34.py | SuMonHlaing/python-exercises | 367315f76917a053e8854be14559061616b26d73 | [
"MIT"
] | null | null | null | ex34.py | SuMonHlaing/python-exercises | 367315f76917a053e8854be14559061616b26d73 | [
"MIT"
] | null | null | null | ex34.py | SuMonHlaing/python-exercises | 367315f76917a053e8854be14559061616b26d73 | [
"MIT"
] | null | null | null | animals = ['bear', 'python3.6', 'peacock', 'kangaroo', 'whale', 'platypus']
bear = animals[0]
python = animals[1]
peacock = animals[2]
kangaroo = animals[3]
whale = animals[4]
platypus = animals[5]
print(f"The first animal is at 0 and is a {bear}")
print(f"The third animal is at 2 and is a {peacock}")
print(f"The firs... | 29.888889 | 75 | 0.687732 | animals = ['bear', 'python3.6', 'peacock', 'kangaroo', 'whale', 'platypus']
bear = animals[0]
python = animals[1]
peacock = animals[2]
kangaroo = animals[3]
whale = animals[4]
platypus = animals[5]
print(f"The first animal is at 0 and is a {bear}")
print(f"The third animal is at 2 and is a {peacock}")
print(f"The firs... | true | true |
08fe636128bab5cff30bd888d0b6d4181a7b1f81 | 69,586 | py | Python | tests/admin_changelist/tests.py | MisterNayDev/django | 0788e7c1b339b903a119ce701863e4f4562d83ca | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | tests/admin_changelist/tests.py | MisterNayDev/django | 0788e7c1b339b903a119ce701863e4f4562d83ca | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | tests/admin_changelist/tests.py | MisterNayDev/django | 0788e7c1b339b903a119ce701863e4f4562d83ca | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | import datetime
from django.contrib import admin
from django.contrib.admin.models import LogEntry
from django.contrib.admin.options import IncorrectLookupParameters
from django.contrib.admin.templatetags.admin_list import pagination
from django.contrib.admin.tests import AdminSeleniumTestCase
from django.contrib.admin... | 44.72108 | 118 | 0.628 | import datetime
from django.contrib import admin
from django.contrib.admin.models import LogEntry
from django.contrib.admin.options import IncorrectLookupParameters
from django.contrib.admin.templatetags.admin_list import pagination
from django.contrib.admin.tests import AdminSeleniumTestCase
from django.contrib.admin... | true | true |
08fe63dbce05d5f92c3f8f2c0f100326d91c4b7f | 5,741 | py | Python | encrypted_model_fields/fields.py | haasr/django3-encrypted-model-fields- | bf3f32557335b4bbec1e1c7176146207fb720fe4 | [
"MIT"
] | 1 | 2020-07-16T01:16:37.000Z | 2020-07-16T01:16:37.000Z | encrypted_model_fields/fields.py | Ordrslip/django-encrypted-model-fields | 74f2fd2f25ff19c27848264a115c2cceb5faa8c5 | [
"MIT"
] | null | null | null | encrypted_model_fields/fields.py | Ordrslip/django-encrypted-model-fields | 74f2fd2f25ff19c27848264a115c2cceb5faa8c5 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import django.db
import django.db.models
from six import PY2, string_types
from django.utils.functional import cached_property
from django.core import validators
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
import cryptography.fernet
... | 29.901042 | 107 | 0.687337 | from __future__ import unicode_literals
import django.db
import django.db.models
from six import PY2, string_types
from django.utils.functional import cached_property
from django.core import validators
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
import cryptography.fernet
... | true | true |
08fe6422dec84665742a8ddf76cc44cc0c473caa | 44,411 | py | Python | nova/exception.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/exception.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/exception.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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 ... | 28.432138 | 79 | 0.692981 |
"""Nova base exception handling.
Includes decorator for re-raising Nova-type exceptions.
SHOULD include dedicated exception logging.
"""
import functools
import sys
from oslo.config import cfg
import webob.exc
from nova.openstack.common import excutils
from nova.openstack.common.gettextutils import _
from nova.o... | false | true |
08fe64a8432b007dca8fd52eb00c9bc4e1d09a07 | 2,282 | py | Python | tests/core/bidirectional_iterator_test.py | digjanaik/detect-secrets | 624024ad5fd8a608e09ed719e5edab6ca95ef47e | [
"Apache-2.0"
] | 46 | 2020-05-30T19:59:58.000Z | 2022-03-30T01:54:53.000Z | tests/core/bidirectional_iterator_test.py | digjanaik/detect-secrets | 624024ad5fd8a608e09ed719e5edab6ca95ef47e | [
"Apache-2.0"
] | 23 | 2020-06-01T20:38:03.000Z | 2022-03-30T14:50:51.000Z | tests/core/bidirectional_iterator_test.py | digjanaik/detect-secrets | 624024ad5fd8a608e09ed719e5edab6ca95ef47e | [
"Apache-2.0"
] | 16 | 2020-06-01T20:51:14.000Z | 2022-03-25T08:14:28.000Z | import pytest
from detect_secrets.core import bidirectional_iterator
class TestBidirectionalIterator:
def test_no_input(self):
iterator = bidirectional_iterator.BidirectionalIterator([])
with pytest.raises(StopIteration):
iterator.__next__()
def test_cannot_step_back_too_far(sel... | 37.409836 | 89 | 0.630587 | import pytest
from detect_secrets.core import bidirectional_iterator
class TestBidirectionalIterator:
def test_no_input(self):
iterator = bidirectional_iterator.BidirectionalIterator([])
with pytest.raises(StopIteration):
iterator.__next__()
def test_cannot_step_back_too_far(sel... | true | true |
08fe656698e856b250794d0786a27f5aa13436ad | 1,020 | py | Python | src/gg/interfaces.py | exclowd/gg | 6fc30767eaf11b155c607d8212bf38e50fa9bdf2 | [
"MIT"
] | null | null | null | src/gg/interfaces.py | exclowd/gg | 6fc30767eaf11b155c607d8212bf38e50fa9bdf2 | [
"MIT"
] | 5 | 2021-09-01T15:08:03.000Z | 2021-09-01T15:08:19.000Z | src/gg/interfaces.py | exclowd/gg | 6fc30767eaf11b155c607d8212bf38e50fa9bdf2 | [
"MIT"
] | null | null | null | class Renderable:
"""
Every renderable must have a width and a height
For our purposes it would have a rect box
It must have a render method to be called with a screen
the position onto which it should be rendered
"""
def width(self):
"""
Every renderable must have a definit... | 23.181818 | 66 | 0.581373 | class Renderable:
def width(self):
pass
def height(self):
pass
def shape(self):
pass
def render(self, screen):
pass
class Updatable:
def update(self, timestamp):
pass
| true | true |
08fe6678fb95734ff209ab34d7245fd3882e4be4 | 854 | py | Python | tensorflow/3_regression.py | RafalStaszak/TensorflowCourse | af0d7f6d367d078dd8d36ec1e48d0a20f65a90ab | [
"MIT"
] | null | null | null | tensorflow/3_regression.py | RafalStaszak/TensorflowCourse | af0d7f6d367d078dd8d36ec1e48d0a20f65a90ab | [
"MIT"
] | null | null | null | tensorflow/3_regression.py | RafalStaszak/TensorflowCourse | af0d7f6d367d078dd8d36ec1e48d0a20f65a90ab | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
x_data = np.random.rand(20).astype(np.float32)
y_data = x_data*1+3+np.random.uniform(0, 0.2, size=[20])
plt.plot(x_data, y_data, 'ro', label='Produced data')
plt.legend()
plt.show()
a=tf.Variable([0], dtype=tf.float32)
b=tf.Variable([0], dt... | 21.35 | 69 | 0.73185 | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
x_data = np.random.rand(20).astype(np.float32)
y_data = x_data*1+3+np.random.uniform(0, 0.2, size=[20])
plt.plot(x_data, y_data, 'ro', label='Produced data')
plt.legend()
plt.show()
a=tf.Variable([0], dtype=tf.float32)
b=tf.Variable([0], dt... | true | true |
08fe6727e9c1d821d2f66140ca8b4afc416ed6e4 | 5,692 | py | Python | corpus/datasources/webscrape.py | LeMyst/ConferenceCorpus | 727afb6f5c9b2e3807260a6161a27531b2f77dd2 | [
"Apache-2.0"
] | 1 | 2022-01-30T12:36:39.000Z | 2022-01-30T12:36:39.000Z | corpus/datasources/webscrape.py | LeMyst/ConferenceCorpus | 727afb6f5c9b2e3807260a6161a27531b2f77dd2 | [
"Apache-2.0"
] | 42 | 2021-07-30T08:51:30.000Z | 2022-03-24T11:21:55.000Z | corpus/datasources/webscrape.py | LeMyst/ConferenceCorpus | 727afb6f5c9b2e3807260a6161a27531b2f77dd2 | [
"Apache-2.0"
] | 2 | 2021-09-29T22:49:00.000Z | 2021-11-09T22:38:53.000Z | '''
Created on 2020-08-20
@author: wf
'''
import urllib.request
from urllib.request import build_opener, HTTPCookieProcessor
from bs4 import BeautifulSoup
import re
class WebScrape(object):
'''
WebScraper
with a rudimentary Parser for https://en.wikipedia.org/wiki/RDFa
extended for CEUR-WS and WikiCFP... | 33.28655 | 97 | 0.549719 | import urllib.request
from urllib.request import build_opener, HTTPCookieProcessor
from bs4 import BeautifulSoup
import re
class WebScrape(object):
def __init__(self,debug:bool=False,showHtml:bool=False,timeout:float=20,agent='Mozilla/5.0'):
self.err=None
self.valid=False
self.debug=debug
... | true | true |
08fe67590b2a1c4a4c418f8d16a499ffa177527a | 1,867 | py | Python | src/promnesia/sources/plaintext.py | volt4ire/promnesia | a552c1e41c1a176b07f0c017c15881bb39ed95bd | [
"MIT"
] | null | null | null | src/promnesia/sources/plaintext.py | volt4ire/promnesia | a552c1e41c1a176b07f0c017c15881bb39ed95bd | [
"MIT"
] | null | null | null | src/promnesia/sources/plaintext.py | volt4ire/promnesia | a552c1e41c1a176b07f0c017c15881bb39ed95bd | [
"MIT"
] | null | null | null | from ..common import get_logger, get_tmpdir, PathIsh
from pathlib import Path
from shlex import quote
# https://linux-and-mac-hacks.blogspot.co.uk/2013/04/use-grep-and-regular-expressions-to.html
_URL_REGEX = r'\b(https?|ftp|file)://[-A-Za-z0-9+&@#/%?=~_|!:,.;]*[-A-Za-z0-9+&@#/%=~_|]'
# -n to output line numbers so... | 31.644068 | 101 | 0.572041 | from ..common import get_logger, get_tmpdir, PathIsh
from pathlib import Path
from shlex import quote
_URL_REGEX = r'\b(https?|ftp|file)://[-A-Za-z0-9+&@#/%?=~_|!:,.;]*[-A-Za-z0-9+&@#/%=~_|]'
_GREP_CMD = r"""grep --color=never -E -I {grep_args} --exclude-dir=".git" '{regex}' {path} || true"""
def _extract_from_di... | true | true |
08fe67a2979da1dd53201620fec5f7feab8045da | 91,698 | py | Python | pandas/core/internals/blocks.py | lpkirwin/pandas | bb929a637ca9d4f24ea78ee4cca9ee17b65a5c1e | [
"BSD-3-Clause"
] | null | null | null | pandas/core/internals/blocks.py | lpkirwin/pandas | bb929a637ca9d4f24ea78ee4cca9ee17b65a5c1e | [
"BSD-3-Clause"
] | null | null | null | pandas/core/internals/blocks.py | lpkirwin/pandas | bb929a637ca9d4f24ea78ee4cca9ee17b65a5c1e | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime, timedelta
import inspect
import re
from typing import TYPE_CHECKING, Any, List, Optional, Type, Union, cast
import warnings
import numpy as np
from pandas._libs import NaT, algos as libalgos, internals as libinternals, lib, writers
from pandas._libs.internals import BlockPlacement
from ... | 32.621131 | 88 | 0.579685 | from datetime import datetime, timedelta
import inspect
import re
from typing import TYPE_CHECKING, Any, List, Optional, Type, Union, cast
import warnings
import numpy as np
from pandas._libs import NaT, algos as libalgos, internals as libinternals, lib, writers
from pandas._libs.internals import BlockPlacement
from ... | true | true |
08fe67bfdaedf114001d7b43b8ff0ccb301b10c1 | 3,914 | py | Python | Pre_Processing/pre_process_task_manager.py | alexgonzl/TreeMazeAnalyses2 | 9bd20328368a915a0d9b81c02ae7af37c5c0c839 | [
"MIT"
] | null | null | null | Pre_Processing/pre_process_task_manager.py | alexgonzl/TreeMazeAnalyses2 | 9bd20328368a915a0d9b81c02ae7af37c5c0c839 | [
"MIT"
] | null | null | null | Pre_Processing/pre_process_task_manager.py | alexgonzl/TreeMazeAnalyses2 | 9bd20328368a915a0d9b81c02ae7af37c5c0c839 | [
"MIT"
] | null | null | null | import sys
import getopt
import json
import time
import warnings
import traceback
from pathlib import Path
from pre_process_functions import process_tetrode, process_events, process_video, post_process_channel_table
warnings.simplefilter(action='ignore', category=FutureWarning)
if __name__ == "__main__":
# Store... | 38.752475 | 119 | 0.588401 | import sys
import getopt
import json
import time
import warnings
import traceback
from pathlib import Path
from pre_process_functions import process_tetrode, process_events, process_video, post_process_channel_table
warnings.simplefilter(action='ignore', category=FutureWarning)
if __name__ == "__main__":
tas... | true | true |
08fe67cc5306ae8f1edd888deb8ddee8f58727e7 | 12,741 | py | Python | src/selfies_ga/ga_funcs.py | AustinT/ai4sci-2021-denovo-benchmarks | 32ecd258394156581c2435769a3ab4aa3823b72b | [
"MIT"
] | 2 | 2021-12-11T15:48:52.000Z | 2021-12-16T15:04:51.000Z | src/selfies_ga/ga_funcs.py | AustinT/ai4sci-2021-denovo-benchmarks | 32ecd258394156581c2435769a3ab4aa3823b72b | [
"MIT"
] | null | null | null | src/selfies_ga/ga_funcs.py | AustinT/ai4sci-2021-denovo-benchmarks | 32ecd258394156581c2435769a3ab4aa3823b72b | [
"MIT"
] | 1 | 2022-02-09T17:14:45.000Z | 2022-02-09T17:14:45.000Z | # Code largely copied from:
# https://github.com/aspuru-guzik-group/stoned-selfies/blob/main/GA_rediscover.py
import random
import functools
from typing import Union
import logging
import selfies
import numpy as np
from rdkit.Chem import MolFromSmiles as smi2mol
from rdkit.Chem import MolToSmiles as mol2smi
from rdkit... | 37.584071 | 110 | 0.632917 | import random
import functools
from typing import Union
import logging
import selfies
import numpy as np
from rdkit.Chem import MolFromSmiles as smi2mol
from rdkit.Chem import MolToSmiles as mol2smi
from rdkit import RDLogger
from selfies import encoder, decoder
from function_utils import CachedFunction
ga_logger =... | true | true |
08fe683667f07d1e9c607353fa670907a0cdb5f1 | 86 | py | Python | simple_playgrounds/playgrounds/__init__.py | Asjidkalam/simple-playgrounds | 72ec42987a33175103191fa9722e0e002f889954 | [
"MIT"
] | null | null | null | simple_playgrounds/playgrounds/__init__.py | Asjidkalam/simple-playgrounds | 72ec42987a33175103191fa9722e0e002f889954 | [
"MIT"
] | 1 | 2021-02-19T20:55:05.000Z | 2021-02-19T20:55:05.000Z | simple_playgrounds/playgrounds/__init__.py | Asjidkalam/simple-playgrounds | 72ec42987a33175103191fa9722e0e002f889954 | [
"MIT"
] | 1 | 2021-02-19T20:46:00.000Z | 2021-02-19T20:46:00.000Z | from .empty import SingleRoom, LinearRooms, ConnectedRooms2D
from .collection import * | 43 | 60 | 0.837209 | from .empty import SingleRoom, LinearRooms, ConnectedRooms2D
from .collection import * | true | true |
08fe687a73df2c257519929d8deb2575a98d1493 | 4,315 | py | Python | tests/ut/python/parallel/test_layer_norm.py | ZephyrChenzf/mindspore | 8f191847cf71e12715ced96bc3575914f980127a | [
"Apache-2.0"
] | 7 | 2020-05-24T03:19:26.000Z | 2020-05-24T03:20:00.000Z | tests/ut/python/parallel/test_layer_norm.py | dilingsong/mindspore | 4276050f2494cfbf8682560a1647576f859991e8 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/parallel/test_layer_norm.py | dilingsong/mindspore | 4276050f2494cfbf8682560a1647576f859991e8 | [
"Apache-2.0"
] | null | null | null | # 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... | 39.587156 | 107 | 0.666512 | import numpy as np
import pytest
import mindspore as ms
from mindspore import context, Tensor, Parameter
from mindspore.common.api import _executor
from mindspore.common.initializer import initializer
from mindspore.nn import Cell, TrainOneStepCell, Momentum
from mindspore.ops import operations as P
class Net(Cell):... | true | true |
08fe68c256c43b3ff3a1128228a1abf1cedc17f3 | 8,300 | py | Python | data_pilot2/nav/day3_test2/env5/8/session_15_07_31_12_45/config.py | thackerybrown/SST-anal | e3fa368f8d57b62bbcbfa2de5a0d2c24863a5d30 | [
"BSD-2-Clause"
] | null | null | null | data_pilot2/nav/day3_test2/env5/8/session_15_07_31_12_45/config.py | thackerybrown/SST-anal | e3fa368f8d57b62bbcbfa2de5a0d2c24863a5d30 | [
"BSD-2-Clause"
] | null | null | null | data_pilot2/nav/day3_test2/env5/8/session_15_07_31_12_45/config.py | thackerybrown/SST-anal | e3fa368f8d57b62bbcbfa2de5a0d2c24863a5d30 | [
"BSD-2-Clause"
] | 1 | 2019-10-11T17:36:36.000Z | 2019-10-11T17:36:36.000Z | # Copyright (c) 2007-2012, Michael J. Kahana.
#
# This file is part of PandaEPL.
#
# PandaEPL 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 Software Foundation, either version 2.1 of the License, or
# (at your option) any... | 33.603239 | 252 | 0.671807 |
FOV = 75
linearAcceleration = 100fullForwardSpeed = 4.5
fullBackwardSpeed = 0turningAcceleration = 85
fullTurningSpeed = 85
turningLinearSpeed = 0.25
maxTurningLinearSpeed = 7.0
minTurningLinearSpeedReqd = 1.0
minTurningLinearSpeed = 1.5
minTurningLinearSpeedIncrement = 0.5
initia... | true | true |
08fe68f5d253b4ee4b6308742746ae718e61105f | 1,899 | py | Python | onmt/utils/stats_manager.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | 5 | 2021-09-30T16:28:48.000Z | 2022-03-30T05:20:27.000Z | onmt/utils/stats_manager.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | null | null | null | onmt/utils/stats_manager.py | sw32-seo/GTA | 86b102a14b78f6c8b50d742a56445c748e59b51e | [
"MIT"
] | null | null | null | import numpy as np
class StatsManager(object):
def __init__(self, stat_names=['step', 'acc', 'ppl']):
self.stat_names = stat_names
self.train_stats = {}
self.val_stats = {}
for name in stat_names:
self.train_stats[name] = []
self.val_stats[name] = []
d... | 33.910714 | 73 | 0.56872 | import numpy as np
class StatsManager(object):
def __init__(self, stat_names=['step', 'acc', 'ppl']):
self.stat_names = stat_names
self.train_stats = {}
self.val_stats = {}
for name in stat_names:
self.train_stats[name] = []
self.val_stats[name] = []
d... | true | true |
08fe69e41a66eaaa3a78a49b81ee7a1660d4332f | 1,183 | py | Python | salt/output/overstatestage.py | Vye/salt | 89ef86096c8f3aa02834cf2e94fc542fd2127879 | [
"Apache-2.0"
] | 3 | 2016-09-03T06:26:42.000Z | 2019-06-30T13:04:53.000Z | salt/output/overstatestage.py | hulu/salt | b96b852aa15e32a95fceae8b4210a31f89a1100f | [
"Apache-2.0"
] | null | null | null | salt/output/overstatestage.py | hulu/salt | b96b852aa15e32a95fceae8b4210a31f89a1100f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Display clean output of an overstate stage
==========================================
This outputter is used to display :ref:`OverState <states-overstate>` stages,
and should not be called directly.
'''
from __future__ import absolute_import
#[{'group2': {'match': ['fedora17-2', 'fedora17... | 27.511628 | 77 | 0.469992 | from __future__ import absolute_import
import salt.utils
def output(data):
colors = salt.utils.get_colors(
__opts__.get('color'),
__opts__.get('color_theme'))
ostr = ''
for comp in data:
for name, stage in comp.items():
ostr += '{0}{1}: {2}\n'.format(
... | true | true |
08fe69e468ff0303efe2eb69eaf7f0b4938065c8 | 2,782 | py | Python | catalog/templates/.cached_templates/index.html.py | lindsthemormon/fomo_intex2 | 3d500414fb17db64929da40e27cbd4ea916ec936 | [
"Apache-2.0"
] | null | null | null | catalog/templates/.cached_templates/index.html.py | lindsthemormon/fomo_intex2 | 3d500414fb17db64929da40e27cbd4ea916ec936 | [
"Apache-2.0"
] | null | null | null | catalog/templates/.cached_templates/index.html.py | lindsthemormon/fomo_intex2 | 3d500414fb17db64929da40e27cbd4ea916ec936 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1523548976.620961
_enable_loop = True
_template_filename = 'C:/Users/Linds/desktop/intex2_fomo/cat... | 38.638889 | 238 | 0.6578 | from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1523548976.620961
_enable_loop = True
_template_filename = 'C:/Users/Linds/desktop/intex2_fomo/catalog/templates/index.ht... | true | true |
08fe6a7715b9f1ee6d5f9498fc31d0ccc0fe1279 | 3,905 | py | Python | scripts/plot_fig8.py | pik-copan/pycopanpbcc | 3fcf0a895cd444f445e1a36f0373fefa4eefe786 | [
"BSD-3-Clause"
] | 1 | 2020-07-30T16:46:08.000Z | 2020-07-30T16:46:08.000Z | scripts/plot_fig8.py | pik-copan/pycopanpbcc | 3fcf0a895cd444f445e1a36f0373fefa4eefe786 | [
"BSD-3-Clause"
] | null | null | null | scripts/plot_fig8.py | pik-copan/pycopanpbcc | 3fcf0a895cd444f445e1a36f0373fefa4eefe786 | [
"BSD-3-Clause"
] | 1 | 2022-02-26T09:16:37.000Z | 2022-02-26T09:16:37.000Z | # -*- coding: utf-8 -*-
# Author: Vera Heck <heck@pik-potsdam.de>
# Script generates Fig. 8 of Heck et al. 2016 (ESD)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from pylab import *
array = np.array
nstep = 128 # steps of parameter variation
par1='alpha_max'
par2= 'thresh_geo'
a2... | 35.18018 | 141 | 0.664533 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from pylab import *
array = np.array
nstep = 128 par1='alpha_max'
par2= 'thresh_geo'
a2 = np.load('/save/a_alpha_max_thresh_geo_c_max=0.2.npy')
a4 = np.load('/save/a_alpha_max_thresh_geo_c_max=0.31.npy')
a6 = np.load('/save/a_alpha_max_t... | true | true |
08fe6ad711fa977248a2ffb5ff89d18ebc221778 | 2,511 | py | Python | setup.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 2 | 2020-12-30T19:01:08.000Z | 2022-01-17T09:50:59.000Z | setup.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 39 | 2020-12-30T14:58:45.000Z | 2021-06-21T20:50:02.000Z | setup.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 1 | 2020-12-31T00:41:10.000Z | 2020-12-31T00:41:10.000Z | import os
from setuptools import setup, find_packages
from setuptools.extension import Extension
from Cython.Build import cythonize
import Cython.Compiler.Options
Cython.Compiler.Options.annotate = True
extensions = cythonize([
Extension(
"skroute.heuristics.brute._base_brute_force._base_brute_force",
... | 38.045455 | 122 | 0.707686 | import os
from setuptools import setup, find_packages
from setuptools.extension import Extension
from Cython.Build import cythonize
import Cython.Compiler.Options
Cython.Compiler.Options.annotate = True
extensions = cythonize([
Extension(
"skroute.heuristics.brute._base_brute_force._base_brute_force",
... | true | true |
08fe6afcc84b07d2edc9683b8362eae0dd3486f5 | 1,466 | py | Python | program/GANs/data_generator.py | robgon-art/music-generator | 88a681bef5ee53fcd764e8c156ee97c892f0caf3 | [
"MIT"
] | 35 | 2019-02-01T14:59:46.000Z | 2022-03-22T02:23:08.000Z | program/GANs/data_generator.py | robgon-art/music-generator | 88a681bef5ee53fcd764e8c156ee97c892f0caf3 | [
"MIT"
] | null | null | null | program/GANs/data_generator.py | robgon-art/music-generator | 88a681bef5ee53fcd764e8c156ee97c892f0caf3 | [
"MIT"
] | 11 | 2019-02-01T14:59:48.000Z | 2021-12-29T01:24:18.000Z | import random
from random import randint
from numpy import array
import numpy
NOTE_SPACE = 24 #two octaves of notes are valid here.
TRUE_CHORD_FALSE_MAX = 0.0
def get_three_notes_and_is_chord(all_major=False):
answer = [0] * NOTE_SPACE
if(randint(0, 1) == 0 or all_major): #make half major, half garbage
#return... | 28.745098 | 87 | 0.720327 | import random
from random import randint
from numpy import array
import numpy
NOTE_SPACE = 24 TRUE_CHORD_FALSE_MAX = 0.0
def get_three_notes_and_is_chord(all_major=False):
answer = [0] * NOTE_SPACE
if(randint(0, 1) == 0 or all_major):
base = randint(0, 16)
answer = numpy.random.uniform(low=0.0, hi... | true | true |
08fe6caaabd2cb492102f71bde05ffaf3d7f64ee | 643 | py | Python | tests/network/state/test_get_transaction.py | sambacha/brownie | b51bafa9e1ab8f3aa794348686db4cbd7c58c3c7 | [
"MIT"
] | 1 | 2020-10-09T17:23:03.000Z | 2020-10-09T17:23:03.000Z | tests/network/state/test_get_transaction.py | sambacha/brownie | b51bafa9e1ab8f3aa794348686db4cbd7c58c3c7 | [
"MIT"
] | null | null | null | tests/network/state/test_get_transaction.py | sambacha/brownie | b51bafa9e1ab8f3aa794348686db4cbd7c58c3c7 | [
"MIT"
] | null | null | null | import pytest
from web3.exceptions import TransactionNotFound
def test_exists_in_history(accounts, chain, history):
tx = accounts[0].transfer(accounts[1], 1000)
assert chain.get_transaction(tx.txid) == tx
def test_not_in_history(accounts, chain, history):
tx = accounts[0].transfer(accounts[1], 1000)
... | 29.227273 | 99 | 0.757387 | import pytest
from web3.exceptions import TransactionNotFound
def test_exists_in_history(accounts, chain, history):
tx = accounts[0].transfer(accounts[1], 1000)
assert chain.get_transaction(tx.txid) == tx
def test_not_in_history(accounts, chain, history):
tx = accounts[0].transfer(accounts[1], 1000)
... | true | true |
08fe6cb4d5fdc0d3d55520c044febe6c62b92a8d | 2,473 | py | Python | tensorflow_federated/python/core/backends/iree/computation_module.py | j35tor/federated | d92bfa6b8e3c9ebbac51ff7a3a180c2baaa08730 | [
"Apache-2.0"
] | 1 | 2021-04-01T08:35:06.000Z | 2021-04-01T08:35:06.000Z | tensorflow_federated/python/core/backends/iree/computation_module.py | j35tor/federated | d92bfa6b8e3c9ebbac51ff7a3a180c2baaa08730 | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/backends/iree/computation_module.py | j35tor/federated | d92bfa6b8e3c9ebbac51ff7a3a180c2baaa08730 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020, The TensorFlow Federated 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 o... | 40.540984 | 80 | 0.767085 |
from tensorflow_federated.python.common_libs import py_typecheck
from tensorflow_federated.python.core.api import computation_types
from tensorflow_federated.python.core.api import typed_object
class ComputationModule(typed_object.TypedObject):
def __init__(self, compiler_module, function_name, type_sign... | true | true |
08fe6d2332bfc87fb25d1643afc08e5f7d77aa1e | 1,209 | py | Python | setup.py | k1000/django-stratus | 1e0cf86c1137a5738053c19fd53193fa92869256 | [
"MIT"
] | 1 | 2015-11-05T15:17:05.000Z | 2015-11-05T15:17:05.000Z | setup.py | k1000/django-stratus | 1e0cf86c1137a5738053c19fd53193fa92869256 | [
"MIT"
] | null | null | null | setup.py | k1000/django-stratus | 1e0cf86c1137a5738053c19fd53193fa92869256 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -
#
# This file is part of gunicorn released under the MIT license.
# See the NOTICE for more information.
import os
from setuptools import setup, find_packages
setup(
name = 'django-stratus',
version = "0.1",
description = 'Preview your git commits.',
long_description = file(
... | 27.477273 | 71 | 0.593052 |
import os
from setuptools import setup, find_packages
setup(
name = 'django-stratus',
version = "0.1",
description = 'Preview your git commits.',
long_description = file(
os.path.join(
os.path.dirname(__file__),
'README.rst'
)
).read(),
author = 'Kamil... | true | true |
08fe6dc6c2e8b581261a5973c7977ef7702e0f97 | 8,072 | py | Python | src/reactive/ctdb.py | cholcombe973/charm-glusterfs | 56c424393d38188b0b35e14f9955215d6f6eed79 | [
"Apache-2.0"
] | null | null | null | src/reactive/ctdb.py | cholcombe973/charm-glusterfs | 56c424393d38188b0b35e14f9955215d6f6eed79 | [
"Apache-2.0"
] | null | null | null | src/reactive/ctdb.py | cholcombe973/charm-glusterfs | 56c424393d38188b0b35e14f9955215d6f6eed79 | [
"Apache-2.0"
] | null | null | null | # Setup ctdb for high availability NFSv3
"""
NOTE: Most of this is still Rust code and needs to be translated to Python
from ipaddress import ip_address, ip_network
from io import TextIOBase
import netifaces
from typing import List, Optional
class VirtualIp:
def __init__(self, cidr: ip_network, interface: str):
... | 34.20339 | 79 | 0.603196 | true | true | |
08fe6e2efbae931f176ce37ea156ac73a505f524 | 7,532 | py | Python | demos/SAC/GraphDrive-Medium(SR)/HW_sans_simplicity.py | proroklab/xaer | 9a59d1ec19ffd8037697aa7ffc43246d4c0c0e69 | [
"MIT"
] | 1 | 2021-10-16T16:48:56.000Z | 2021-10-16T16:48:56.000Z | demos/SAC/GraphDrive-Medium(SR)/HW_sans_simplicity.py | proroklab/xaer | 9a59d1ec19ffd8037697aa7ffc43246d4c0c0e69 | [
"MIT"
] | null | null | null | demos/SAC/GraphDrive-Medium(SR)/HW_sans_simplicity.py | proroklab/xaer | 9a59d1ec19ffd8037697aa7ffc43246d4c0c0e69 | [
"MIT"
] | null | null | null | # Read this guide for how to use this script: https://medium.com/distributed-computing-with-ray/intro-to-rllib-example-environments-3a113f532c70
import os
os.environ["TUNE_RESULT_DIR"] = 'tmp/ray_results'
import multiprocessing
import json
import shutil
import ray
import time
from xarl.utils.workflow import train
from... | 91.853659 | 433 | 0.749336 | import os
os.environ["TUNE_RESULT_DIR"] = 'tmp/ray_results'
import multiprocessing
import json
import shutil
import ray
import time
from xarl.utils.workflow import train
from xarl.agents.xasac import XASACTrainer, XASAC_DEFAULT_CONFIG
from environments import *
from ray.rllib.models import ModelCatalog
from xarl.model... | true | true |
08fe6e4ecda1288bd59a4a82d1c8b7388bdc7eae | 52,612 | py | Python | tensorflow/python/ops/linalg/linear_operator.py | ashutom/tensorflow-upstream | c16069c19de9e286dd664abb78d0ea421e9f32d4 | [
"Apache-2.0"
] | 8 | 2021-08-03T03:57:10.000Z | 2021-12-13T01:19:02.000Z | tensorflow/python/ops/linalg/linear_operator.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 17 | 2021-08-12T19:38:42.000Z | 2022-01-27T14:39:35.000Z | tensorflow/python/ops/linalg/linear_operator.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 4 | 2022-01-13T11:23:44.000Z | 2022-03-02T11:11:42.000Z | # 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... | 36.15945 | 116 | 0.683038 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import contextlib
import numpy as np
import six
from tensorflow.python.framework import composite_tensor
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
... | true | true |
08fe6e52d7accfb1972b9f9002bc85f89bbebcdc | 5,249 | py | Python | tests/cpp/coordinate_map_gpu_test.py | NNstorm/MinkowskiEngine | 443b37a58c379b2482b5d160d9e874b356b4bf2f | [
"MIT"
] | 851 | 2020-07-09T21:35:06.000Z | 2022-03-31T14:35:57.000Z | tests/cpp/coordinate_map_gpu_test.py | NNstorm/MinkowskiEngine | 443b37a58c379b2482b5d160d9e874b356b4bf2f | [
"MIT"
] | 301 | 2020-07-09T21:51:23.000Z | 2022-03-30T12:23:24.000Z | tests/cpp/coordinate_map_gpu_test.py | NNstorm/MinkowskiEngine | 443b37a58c379b2482b5d160d9e874b356b4bf2f | [
"MIT"
] | 151 | 2020-07-15T09:22:09.000Z | 2022-03-23T21:32:47.000Z | import numpy as np
import unittest
import time
import torch
import MinkowskiEngineTest._C
from utils import load_file, batched_coordinates
class CoordinateMapTestCase(unittest.TestCase):
def test_batch_insert(self):
assert torch.cuda.is_available()
coordinates = torch.IntTensor([[0, 1], [1, 2], ... | 38.595588 | 88 | 0.595733 | import numpy as np
import unittest
import time
import torch
import MinkowskiEngineTest._C
from utils import load_file, batched_coordinates
class CoordinateMapTestCase(unittest.TestCase):
def test_batch_insert(self):
assert torch.cuda.is_available()
coordinates = torch.IntTensor([[0, 1], [1, 2], ... | true | true |
08fe6e571d02b2b58ed81628e51af169dba1073c | 8,638 | py | Python | aitools/proofs/knowledge_base.py | OneManEquipe/thinkerino | 4b9508156371643f31d1d26608e42e3aafcb0153 | [
"MIT"
] | 1 | 2020-05-02T19:44:18.000Z | 2020-05-02T19:44:18.000Z | aitools/proofs/knowledge_base.py | OneManEquipe/aitools | 4b9508156371643f31d1d26608e42e3aafcb0153 | [
"MIT"
] | 29 | 2019-08-07T17:49:03.000Z | 2021-08-31T10:25:00.000Z | aitools/proofs/knowledge_base.py | OneManEquipe/thinkerino | 4b9508156371643f31d1d26608e42e3aafcb0153 | [
"MIT"
] | null | null | null | import asyncio
import logging
import typing
from contextlib import contextmanager
from typing import Iterable
from aitools.logic.core import Expression, LogicObject, Variable
from aitools.logic.language import Language
from aitools.logic.unification import Substitution
from aitools.logic.utils import normalize_variabl... | 41.729469 | 118 | 0.681524 | import asyncio
import logging
import typing
from contextlib import contextmanager
from typing import Iterable
from aitools.logic.core import Expression, LogicObject, Variable
from aitools.logic.language import Language
from aitools.logic.unification import Substitution
from aitools.logic.utils import normalize_variabl... | true | true |
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