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class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f7fb24ae8c976a4d6787651bae16cdf3c623fa6d | 4,782 | py | Python | pytorch-r2d2_mini/r2d2.py | wotmd5731/J_LAB | 6951dbc898f063fbbe2853a36b7caeeca10ed173 | [
"Apache-2.0"
] | null | null | null | pytorch-r2d2_mini/r2d2.py | wotmd5731/J_LAB | 6951dbc898f063fbbe2853a36b7caeeca10ed173 | [
"Apache-2.0"
] | null | null | null | pytorch-r2d2_mini/r2d2.py | wotmd5731/J_LAB | 6951dbc898f063fbbe2853a36b7caeeca10ed173 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.utils.data
import torch.optim as optim
import torch.nn as nn
import numpy as np
from collections import deque
import random
import gym
import os
from copy import deepcopy
from time import time, sleep
import torch.multiprocessing as mp
#mp.set_start_method('spawn', force=True)
from models impor... | 31.668874 | 120 | 0.607486 | import torch
import torch.utils.data
import torch.optim as optim
import torch.nn as nn
import numpy as np
from collections import deque
import random
import gym
import os
from copy import deepcopy
from time import time, sleep
import torch.multiprocessing as mp
from models import ActorNet, CriticNet
import queue
import... | true | true |
f7fb252558f8525c2eaa53faa368501d1c61e260 | 8,359 | py | Python | sympy/polys/tests/test_multivariate_resultants.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/tests/test_multivariate_resultants.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/tests/test_multivariate_resultants.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | """Tests for Dixon's and Macaulay's classes. """
from sympy import Matrix, factor
from sympy.core import symbols
from sympy.tensor.indexed import IndexedBase
from sympy.polys.multivariate_resultants import DixonResultant, MacaulayResultant
c, d = symbols("a, b")
x, y = symbols("x, y")
p = c * x + y
q = x + d * y
d... | 28.050336 | 85 | 0.539658 |
from sympy import Matrix, factor
from sympy.core import symbols
from sympy.tensor.indexed import IndexedBase
from sympy.polys.multivariate_resultants import DixonResultant, MacaulayResultant
c, d = symbols("a, b")
x, y = symbols("x, y")
p = c * x + y
q = x + d * y
dixon = DixonResultant(polynomials=[p, q], variabl... | true | true |
f7fb27196bc7774b2fd914d3d983e69fcef6b7d4 | 18,360 | py | Python | lib/streamlit/elements/data_frame_proto.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | null | null | null | lib/streamlit/elements/data_frame_proto.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | 9 | 2021-03-01T20:47:52.000Z | 2022-02-12T20:49:50.000Z | lib/streamlit/elements/data_frame_proto.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# 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 applicabl... | 35.859375 | 86 | 0.64439 |
import re
import tzlocal
from collections import namedtuple
from streamlit import util
from streamlit.logger import get_logger
LOGGER = get_logger(__name__)
CSSStyle = namedtuple('CSSStyle', ['property', 'value'])
def marshall_data_frame(data, proto_df):
df = convert_anything_to_df(data)
... | true | true |
f7fb296fe05adccbf13151574889867e1605688c | 1,160 | py | Python | tests/test_managers.py | kishorehariram/django-logic | 955f18211443b30ce39a845495e136d7590183a6 | [
"MIT"
] | 47 | 2019-11-23T11:51:04.000Z | 2022-03-16T15:37:24.000Z | tests/test_managers.py | kishorehariram/django-logic | 955f18211443b30ce39a845495e136d7590183a6 | [
"MIT"
] | 29 | 2019-11-25T12:16:25.000Z | 2021-05-10T13:17:46.000Z | tests/test_managers.py | kishorehariram/django-logic | 955f18211443b30ce39a845495e136d7590183a6 | [
"MIT"
] | 6 | 2019-12-25T11:17:05.000Z | 2021-11-23T07:33:33.000Z | from django.db import models
from django.test import TestCase
from django_logic.process import ProcessManager, Process
from django_logic.transition import Transition
class FirstProcess(Process):
process_name = 'first_process'
queryset = models.Manager() # fake it to pass init
transitions = [
Tra... | 36.25 | 107 | 0.744828 | from django.db import models
from django.test import TestCase
from django_logic.process import ProcessManager, Process
from django_logic.transition import Transition
class FirstProcess(Process):
process_name = 'first_process'
queryset = models.Manager()
transitions = [
Transition(action_name='t... | true | true |
f7fb2b1fa89e507daca1330af17ae8ddefab5c72 | 1,158 | py | Python | pythonBase/advancePyton/chapter11/process_test.py | cangchengkun/pythonbase | 4e01331b1c7c13d86f32f697dd812cb267abe7ef | [
"CNRI-Python"
] | null | null | null | pythonBase/advancePyton/chapter11/process_test.py | cangchengkun/pythonbase | 4e01331b1c7c13d86f32f697dd812cb267abe7ef | [
"CNRI-Python"
] | null | null | null | pythonBase/advancePyton/chapter11/process_test.py | cangchengkun/pythonbase | 4e01331b1c7c13d86f32f697dd812cb267abe7ef | [
"CNRI-Python"
] | null | null | null | # 多线程编程
# GIL锁在单cpu上只能执行一个，效率低
# 多进程可以在多个cpu上执行
# 多线程和多线程都能够并发为什么在IO操作是不使用多进程
# 进程切换比较耗时
# 1.对于耗cpu，多进程优于多线程
# 2.对于IO操作，多线程由于多进程
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
import os
import time
# pid = os.fork() # 同时会存在两个进程，会拷贝父进程中的代码和数据到子进程中
#
# print("boby")
#
# if pid == 0:
# pr... | 20.315789 | 70 | 0.661485 |
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
import os
import time
ng
def get_html(n):
time.sleep(n)
return n
class MyProcess(multiprocessing.Process):
def run(self):
pass
if __name__ == '__main__':
process = multiprocessing.Process(target=get_html, ar... | true | true |
f7fb2bf57560ff065bd448cc06360a865d2d6f01 | 254 | py | Python | test_driven_development_with_python/superlists/manage.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | test_driven_development_with_python/superlists/manage.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | test_driven_development_with_python/superlists/manage.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "superlists.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| 23.090909 | 74 | 0.775591 |
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "superlists.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| true | true |
f7fb2c06a0c94a1f778393f64fd2d5ce8f893f62 | 330 | py | Python | typeidea/comment/adminx.py | persue/typeidea | 1510efaf9c260c802390ab6490e726182e8037ab | [
"Apache-2.0"
] | null | null | null | typeidea/comment/adminx.py | persue/typeidea | 1510efaf9c260c802390ab6490e726182e8037ab | [
"Apache-2.0"
] | 5 | 2021-03-19T09:17:12.000Z | 2022-03-12T00:08:19.000Z | typeidea/comment/adminx.py | persue/typeidea | 1510efaf9c260c802390ab6490e726182e8037ab | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import xadmin
#from django.contrib import admin
from .models import Comment
#from typeidea.custom_site import custom_site
#from typeidea.base_admin import BaseOwnerAdmin
@xadmin.sites.register(Comment)
class CommentAdmin:
list_display = ('target', 'nickname', 'content', 'website', 'creat... | 25.384615 | 79 | 0.757576 |
import xadmin
from .models import Comment
@xadmin.sites.register(Comment)
class CommentAdmin:
list_display = ('target', 'nickname', 'content', 'website', 'created_time')
| true | true |
f7fb2c651134c68cfd8b101c68def41076630084 | 5,299 | py | Python | axl_add_Sip_Trunk.py | alikhalid72/axl-python-zeep-samples | d0da03f066eaa2ddd55a18997f44402e50338c46 | [
"MIT"
] | null | null | null | axl_add_Sip_Trunk.py | alikhalid72/axl-python-zeep-samples | d0da03f066eaa2ddd55a18997f44402e50338c46 | [
"MIT"
] | null | null | null | axl_add_Sip_Trunk.py | alikhalid72/axl-python-zeep-samples | d0da03f066eaa2ddd55a18997f44402e50338c46 | [
"MIT"
] | null | null | null | """AXL <addSipTrunk> sample script, using the Zeep SOAP library
Install Python 3.7
On Windows, choose the option to add to PATH environment variable
If this is a fresh installation, update pip (you may need to use `pip3` on Linux or Mac)
$ python -m pip install --upgrade pip
Script Dependencies:
l... | 35.326667 | 96 | 0.707115 |
from lxml import etree
from requests import Session
from requests.auth import HTTPBasicAuth
from zeep import Client, Settings, Plugin
from zeep.transports import Transport
from zeep.exceptions import Fault
import creds
DEBUG = False
WSDL_FILE = 'schema/AXLAPI.wsdl'
class MyLoggingPlugin( Plug... | true | true |
f7fb2d5c320bd37feebc0783b11324565991b7f4 | 8,599 | py | Python | actualizar_costos.py | osim-microgrid-tool/osim_islanded_microgrids_sizing | 63738ddf418e4023f3b64dc1f0aba6f079710bc8 | [
"MIT"
] | 2 | 2021-07-27T13:56:18.000Z | 2021-07-27T13:56:23.000Z | actualizar_costos.py | wropero-enersinc/osim_microrredes | 407ce32683043dbc0356fa0b2edaf537b0098b71 | [
"MIT"
] | null | null | null | actualizar_costos.py | wropero-enersinc/osim_microrredes | 407ce32683043dbc0356fa0b2edaf537b0098b71 | [
"MIT"
] | 1 | 2021-07-25T23:03:27.000Z | 2021-07-25T23:03:27.000Z | import pandas as pd
import numpy as np
import math
import sqlite3
import os
def conexion_bd(sql=None, update=True):
sqlite3.register_adapter(np.int64, lambda val: int(val))
sqlite3.register_adapter(np.int32, lambda val: int(val))
con = sqlite3.connect(os.getcwd() + os.sep + "result_op.db")
t... | 36.591489 | 200 | 0.515641 | import pandas as pd
import numpy as np
import math
import sqlite3
import os
def conexion_bd(sql=None, update=True):
sqlite3.register_adapter(np.int64, lambda val: int(val))
sqlite3.register_adapter(np.int32, lambda val: int(val))
con = sqlite3.connect(os.getcwd() + os.sep + "result_op.db")
t... | true | true |
f7fb2e4acbf2aa94f74bb2be3cd6973f04ab40c2 | 550 | py | Python | hackerrank prob/10.nested list.py | kingRovo/PythonCodingChalenge | b62938592df10ccafec9930b69c14c778e19ad37 | [
"bzip2-1.0.6"
] | 1 | 2021-08-02T16:52:55.000Z | 2021-08-02T16:52:55.000Z | hackerrank prob/10.nested list.py | kingRovo/PythonCodingChalenge | b62938592df10ccafec9930b69c14c778e19ad37 | [
"bzip2-1.0.6"
] | null | null | null | hackerrank prob/10.nested list.py | kingRovo/PythonCodingChalenge | b62938592df10ccafec9930b69c14c778e19ad37 | [
"bzip2-1.0.6"
] | null | null | null | scores = {}
top2 = []
def logScore(score):
global top2
xs = [x for x in top2 if x < score] + [score] + [x for x in top2 if x > score]
if (len(xs) > 2):
scores.pop(xs[2], None)
xs.pop()
top2 = xs
return score <= xs[-1]
for _ in range(int(input())):
name = input()
score = flo... | 15.714286 | 82 | 0.554545 | scores = {}
top2 = []
def logScore(score):
global top2
xs = [x for x in top2 if x < score] + [score] + [x for x in top2 if x > score]
if (len(xs) > 2):
scores.pop(xs[2], None)
xs.pop()
top2 = xs
return score <= xs[-1]
for _ in range(int(input())):
name = input()
score = flo... | true | true |
f7fb2e522871c2a020f3f991e187ebff8901bb38 | 563 | py | Python | user.py | VoltJimathy/BooksDiscordpy | 6874b2d6184b329f84892e4f18454dc366bc5846 | [
"BSD-2-Clause"
] | null | null | null | user.py | VoltJimathy/BooksDiscordpy | 6874b2d6184b329f84892e4f18454dc366bc5846 | [
"BSD-2-Clause"
] | 1 | 2021-08-29T19:34:09.000Z | 2021-09-03T16:06:35.000Z | user.py | VoltJimathy/BooksDiscordpy | 6874b2d6184b329f84892e4f18454dc366bc5846 | [
"BSD-2-Clause"
] | null | null | null | import typing as t
class User:
def __init__(self, json: dict, bot):
# print(json.keys())
self.verified = json.get("verified", False)
self.username = json.get("username", None)
self.mfa_enabled = json.get("mfa_enabled", False)
self.id = json.get("id")
self.flags = j... | 29.631579 | 60 | 0.586146 | import typing as t
class User:
def __init__(self, json: dict, bot):
self.verified = json.get("verified", False)
self.username = json.get("username", None)
self.mfa_enabled = json.get("mfa_enabled", False)
self.id = json.get("id")
self.flags = json.get("flags", Non... | true | true |
f7fb2f90496a29c2de8d6b94019d96286ba0bfbb | 8,154 | py | Python | mitmproxy/console/options.py | jvillacorta/mitmproxy | 3aa2d59f627e0fc95167fb76ffbe84330e3a5cc5 | [
"MIT"
] | 1 | 2018-03-31T17:16:07.000Z | 2018-03-31T17:16:07.000Z | mitmproxy/console/options.py | jvillacorta/mitmproxy | 3aa2d59f627e0fc95167fb76ffbe84330e3a5cc5 | [
"MIT"
] | null | null | null | mitmproxy/console/options.py | jvillacorta/mitmproxy | 3aa2d59f627e0fc95167fb76ffbe84330e3a5cc5 | [
"MIT"
] | 4 | 2018-04-18T13:17:01.000Z | 2021-02-21T17:08:33.000Z | from __future__ import absolute_import, print_function, division
import urwid
from mitmproxy import contentviews
from mitmproxy.console import common
from mitmproxy.console import grideditor
from mitmproxy.console import palettes
from mitmproxy.console import select
from mitmproxy.console import signals
footer = [
... | 31.604651 | 77 | 0.484425 | from __future__ import absolute_import, print_function, division
import urwid
from mitmproxy import contentviews
from mitmproxy.console import common
from mitmproxy.console import grideditor
from mitmproxy.console import palettes
from mitmproxy.console import select
from mitmproxy.console import signals
footer = [
... | true | true |
f7fb300272c8f9cbf76ac8ba0c823da11c1f6e34 | 808 | py | Python | 02_task/02_subtask.py | SKantar/SignalProcessing | c8e5e9a45c92e1d337086b60bf7eed131756dcaf | [
"MIT"
] | null | null | null | 02_task/02_subtask.py | SKantar/SignalProcessing | c8e5e9a45c92e1d337086b60bf7eed131756dcaf | [
"MIT"
] | null | null | null | 02_task/02_subtask.py | SKantar/SignalProcessing | c8e5e9a45c92e1d337086b60bf7eed131756dcaf | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft
Fs = 200 # Sample frequence
N = 150 # Number of sample points
T = 1.0 / Fs # Sample spacing
t = np.linspace(T, N * T, N)
A = 2.3
f = 20
x_clear = A * np.sin(f * 2.0 * np.pi * t)
powers, colors = [0, 1, 3, 6], ['r', 'g... | 22.444444 | 61 | 0.532178 | import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft
Fs = 200
N = 150
T = 1.0 / Fs
t = np.linspace(T, N * T, N)
A = 2.3
f = 20
x_clear = A * np.sin(f * 2.0 * np.pi * t)
powers, colors = [0, 1, 3, 6], ['r', 'g', 'b', 'y']
for i, power in enumerate(powers):
e = np.... | true | true |
f7fb30647bd52e10d1e69b97e1f25ed17da4891c | 5,556 | py | Python | fc.py | HamzaFarhan/dreamai_2 | 58b28cb964f026882d289b2fdbea301005bad394 | [
"MIT"
] | null | null | null | fc.py | HamzaFarhan/dreamai_2 | 58b28cb964f026882d289b2fdbea301005bad394 | [
"MIT"
] | 8 | 2020-03-31T11:17:01.000Z | 2022-03-12T00:17:36.000Z | fc.py | HamzaFarhan/dreamai_2 | 58b28cb964f026882d289b2fdbea301005bad394 | [
"MIT"
] | null | null | null | from dreamai.dai_imports import*
from dreamai.utils import *
from dreamai.model import *
class FC(Network):
def __init__(self,
num_inputs=10,
num_outputs=10,
layers=[],
lr=0.003,
class_names=[],
optimizer_name='Ad... | 42.738462 | 125 | 0.49946 | from dreamai.dai_imports import*
from dreamai.utils import *
from dreamai.model import *
class FC(Network):
def __init__(self,
num_inputs=10,
num_outputs=10,
layers=[],
lr=0.003,
class_names=[],
optimizer_name='Ad... | true | true |
f7fb306aa7ec4b5abf0af2dfa7f682c9969f4efb | 116 | py | Python | detectrino/basics.py | lgvaz/detectrino | dc3b15f44be8f143f03d67a7d05cbad8f6cca78f | [
"Apache-2.0"
] | 1 | 2021-06-23T16:41:03.000Z | 2021-06-23T16:41:03.000Z | detectrino/basics.py | lgvaz/detectrino | dc3b15f44be8f143f03d67a7d05cbad8f6cca78f | [
"Apache-2.0"
] | 5 | 2020-04-27T19:35:44.000Z | 2022-02-26T07:29:35.000Z | detectrino/basics.py | lgvaz/detectrino | dc3b15f44be8f143f03d67a7d05cbad8f6cca78f | [
"Apache-2.0"
] | null | null | null | from ._imports import *
from .core import *
from .data.all import *
from .model.all import *
from .learner import *
| 19.333333 | 24 | 0.724138 | from ._imports import *
from .core import *
from .data.all import *
from .model.all import *
from .learner import *
| true | true |
f7fb3232075947da504efe0223786d7f0c962b46 | 3,335 | py | Python | digsby/ext/buildexts.py | ifwe/digsby | f5fe00244744aa131e07f09348d10563f3d8fa99 | [
"Python-2.0"
] | 35 | 2015-08-15T14:32:38.000Z | 2021-12-09T16:21:26.000Z | digsby/ext/buildexts.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 4 | 2015-09-12T10:42:57.000Z | 2017-02-27T04:05:51.000Z | digsby/ext/buildexts.py | niterain/digsby | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | [
"Python-2.0"
] | 15 | 2015-07-10T23:58:07.000Z | 2022-01-23T22:16:33.000Z | #__LICENSE_GOES_HERE__
#
# builds "cgui", Digsby's native code extension
#
# use "python buildexts.py build_ext" from the command line
# to build cgui.pyd or cgui.so
#
from wx.build.config import *
import wx
import cguisetup
import sys, os
from os import environ as env
from os.path import join as pj
from pprint impor... | 28.504274 | 87 | 0.505847 |
#
# use "python buildexts.py build_ext" from the command line
# to build cgui.pyd or cgui.so
#
from wx.build.config import *
import wx
import cguisetup
import sys, os
from os import environ as env
from os.path import join as pj
from pprint import pprint
def build():
global swig_args, includes, defines, cflags... | false | true |
f7fb32e353b204583e9bb19758cc4828ed9e6c2e | 16,079 | py | Python | log_mito/model_790.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito/model_790.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito/model_790.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | # exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', 'BaxA'])
M... | 87.863388 | 710 | 0.80347 |
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', 'Xiap'])
... | true | true |
f7fb330a08ca9e96555a571dac03cc6aae74bba4 | 417 | py | Python | config/gunicorn.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | config/gunicorn.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | config/gunicorn.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | import multiprocessing
import os
accesslog = '-'
bind = f'{os.getenv("GUNICORN_HOST", "0.0.0.0")}:{os.getenv("GUNICORN_PORT", "8000")}' # noqa
capture_output = True
syslog = os.getenv('LOG_SYSLOG', 'false').lower() in ['true', '1', 'yes', 'on']
threads = int(os.getenv('GUNICORN_THREADS', multiprocessing.cpu_coun... | 23.166667 | 94 | 0.669065 | import multiprocessing
import os
accesslog = '-'
bind = f'{os.getenv("GUNICORN_HOST", "0.0.0.0")}:{os.getenv("GUNICORN_PORT", "8000")}'
capture_output = True
syslog = os.getenv('LOG_SYSLOG', 'false').lower() in ['true', '1', 'yes', 'on']
threads = int(os.getenv('GUNICORN_THREADS', multiprocessing.cpu_count() * ... | true | true |
f7fb3500e8b05c2631571dc3f2a87ba31bfc73e9 | 290 | py | Python | Chapter2_Python/ListSlicing.py | gbbDonkiKong/UdemyAI_Template | 9d17edc43f0342675d194f29bf45fde77e4f5f0e | [
"MIT"
] | null | null | null | Chapter2_Python/ListSlicing.py | gbbDonkiKong/UdemyAI_Template | 9d17edc43f0342675d194f29bf45fde77e4f5f0e | [
"MIT"
] | null | null | null | Chapter2_Python/ListSlicing.py | gbbDonkiKong/UdemyAI_Template | 9d17edc43f0342675d194f29bf45fde77e4f5f0e | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
x = [[1, 4, 3, 9],
[3, 1, 5, 2]]
y = ['red', 'blue', 'blue', 'red']
# P1 (x1 = 1, x2 = 3), Klasse = 'red'
x1 = x[0]
x2 = x[1]
plt.scatter(x1, x2, color=y)
# plt.show()
w = [1, 3, 6, 9, 7, 4]
w_squared = [val**2 for val in w[1:5]]
print(w_squared) | 15.263158 | 38 | 0.510345 | import matplotlib.pyplot as plt
x = [[1, 4, 3, 9],
[3, 1, 5, 2]]
y = ['red', 'blue', 'blue', 'red']
x1 = x[0]
x2 = x[1]
plt.scatter(x1, x2, color=y)
w = [1, 3, 6, 9, 7, 4]
w_squared = [val**2 for val in w[1:5]]
print(w_squared) | true | true |
f7fb35162fbb35d57df67445293c9781bc9f7f09 | 19,127 | py | Python | api/jobs/api.py | jkoren/jobhopper | 1c579871be1fe8fe5c1c0f7dbd4309f84479ed3b | [
"MIT"
] | null | null | null | api/jobs/api.py | jkoren/jobhopper | 1c579871be1fe8fe5c1c0f7dbd4309f84479ed3b | [
"MIT"
] | null | null | null | api/jobs/api.py | jkoren/jobhopper | 1c579871be1fe8fe5c1c0f7dbd4309f84479ed3b | [
"MIT"
] | null | null | null | from .models import Socs, BlsOes, StateAbbPairs, OccupationTransitions, SocDescription
from rest_framework import viewsets, permissions, generics
from rest_framework.throttling import AnonRateThrottle
from rest_framework.response import Response
from django.forms.models import model_to_dict
from collections import name... | 44.17321 | 119 | 0.631725 | from .models import Socs, BlsOes, StateAbbPairs, OccupationTransitions, SocDescription
from rest_framework import viewsets, permissions, generics
from rest_framework.throttling import AnonRateThrottle
from rest_framework.response import Response
from django.forms.models import model_to_dict
from collections import name... | true | true |
f7fb37300051dd803972d2cce6c9bea72b3d9f19 | 416 | py | Python | pymnn/pip_package/MNNTools/MNN_FB/BinaryOpOperation.py | z415073783/MNN | 62c5ca47964407508a5fa802582e648fc75eb0d9 | [
"Apache-2.0"
] | null | null | null | pymnn/pip_package/MNNTools/MNN_FB/BinaryOpOperation.py | z415073783/MNN | 62c5ca47964407508a5fa802582e648fc75eb0d9 | [
"Apache-2.0"
] | 1 | 2021-09-07T09:13:03.000Z | 2021-09-07T09:13:03.000Z | pymnn/pip_package/MNNTools/MNN_FB/BinaryOpOperation.py | z415073783/MNN | 62c5ca47964407508a5fa802582e648fc75eb0d9 | [
"Apache-2.0"
] | 1 | 2020-03-10T02:17:47.000Z | 2020-03-10T02:17:47.000Z | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: MNN
class BinaryOpOperation(object):
ADD = 0
SUB = 1
MUL = 2
DIV = 3
MAX_TEMP = 4
MIN_TEMP = 5
POW = 6
REALDIV = 7
MINIMUM = 8
MAXIMUM = 9
GREATER = 10
GREATER_EQUAL = 11
LESS = 12
... | 16.64 | 68 | 0.59375 |
class BinaryOpOperation(object):
ADD = 0
SUB = 1
MUL = 2
DIV = 3
MAX_TEMP = 4
MIN_TEMP = 5
POW = 6
REALDIV = 7
MINIMUM = 8
MAXIMUM = 9
GREATER = 10
GREATER_EQUAL = 11
LESS = 12
FLOORDIV = 13
SquaredDifference = 14
EQUAL = 15
LESS_EQUAL = 16
FLO... | true | true |
f7fb379da517b97c0670e2852a594b1da659580a | 7,609 | py | Python | tests/components/mazda/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 3 | 2021-11-22T22:37:43.000Z | 2022-03-17T00:55:28.000Z | tests/components/mazda/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 25 | 2021-10-02T10:01:14.000Z | 2022-03-31T06:11:49.000Z | tests/components/mazda/test_sensor.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 3 | 2022-01-02T18:49:54.000Z | 2022-01-25T02:03:54.000Z | """The sensor tests for the Mazda Connected Services integration."""
from homeassistant.components.sensor import (
ATTR_STATE_CLASS,
SensorDeviceClass,
SensorStateClass,
)
from homeassistant.const import (
ATTR_DEVICE_CLASS,
ATTR_FRIENDLY_NAME,
ATTR_ICON,
ATTR_UNIT_OF_MEASUREMENT,
LENGT... | 40.908602 | 88 | 0.75529 |
from homeassistant.components.sensor import (
ATTR_STATE_CLASS,
SensorDeviceClass,
SensorStateClass,
)
from homeassistant.const import (
ATTR_DEVICE_CLASS,
ATTR_FRIENDLY_NAME,
ATTR_ICON,
ATTR_UNIT_OF_MEASUREMENT,
LENGTH_KILOMETERS,
LENGTH_MILES,
PERCENTAGE,
PRESSURE_PSI,
)
f... | true | true |
f7fb37d40db56db91cff73cdbcdc5e682fb5b394 | 1,227 | py | Python | scripts/get_subset_of_impact_vectors.py | natcap/opal | 7b960d51344483bae30d14ccfa6004bd550f3737 | [
"BSD-3-Clause"
] | 1 | 2020-04-15T23:23:27.000Z | 2020-04-15T23:23:27.000Z | scripts/get_subset_of_impact_vectors.py | natcap/opal | 7b960d51344483bae30d14ccfa6004bd550f3737 | [
"BSD-3-Clause"
] | null | null | null | scripts/get_subset_of_impact_vectors.py | natcap/opal | 7b960d51344483bae30d14ccfa6004bd550f3737 | [
"BSD-3-Clause"
] | null | null | null | import os
import glob
import shutil
if __name__ == '__main__':
source_file_uri = os.path.join(os.path.dirname(__file__), '..',
'positive_sdr_simulations.csv')
scenario = 'bare'
dest_dir = '%s_positive_simulations' % scenario
if os.path.exists(dest_dir):
shutil.rmtree(dest_dir)
os.m... | 29.214286 | 76 | 0.616952 | import os
import glob
import shutil
if __name__ == '__main__':
source_file_uri = os.path.join(os.path.dirname(__file__), '..',
'positive_sdr_simulations.csv')
scenario = 'bare'
dest_dir = '%s_positive_simulations' % scenario
if os.path.exists(dest_dir):
shutil.rmtree(dest_dir)
os.m... | true | true |
f7fb3856fdfa0c65137c0e8b3df3e839dd6bd9bc | 1,077 | py | Python | python/medium/1834-single-threaded-cpu.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | python/medium/1834-single-threaded-cpu.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | python/medium/1834-single-threaded-cpu.py | jurayev/data-structures-algorithms-solutions | 7103294bafb60117fc77efe4913edcffbeb1ac7a | [
"MIT"
] | null | null | null | from heapq import heappush, heappop
class Solution:
def getOrder(self, tasks: List[List[int]]) -> List[int]:
"""
0 1 2 3
[[1,2],[2,4],[3,2],[4,1]]
^
0 1 2 3 4 5 6
0 0 0
1 1 1 1 1
2 2 2
3 3
max t... | 23.413043 | 60 | 0.410399 | from heapq import heappush, heappop
class Solution:
def getOrder(self, tasks: List[List[int]]) -> List[int]:
if not tasks:
return []
order = []
available = []
to_process = []
for i, task in enumerate(tasks):
heappush(to_proc... | true | true |
f7fb38af7a2c7fa2919914d8f1b929b1c7b357f6 | 1,429 | py | Python | demo/crime_vgg16_bilstm_hi_dim_train.py | dalo2903/keras-video-classifier | 6dcf0a1e87342bdb057df0176af6489ff926f2d8 | [
"MIT"
] | 1 | 2018-12-27T09:00:02.000Z | 2018-12-27T09:00:02.000Z | demo/crime_vgg16_bilstm_hi_dim_train.py | dalo2903/keras-video-classifier | 6dcf0a1e87342bdb057df0176af6489ff926f2d8 | [
"MIT"
] | null | null | null | demo/crime_vgg16_bilstm_hi_dim_train.py | dalo2903/keras-video-classifier | 6dcf0a1e87342bdb057df0176af6489ff926f2d8 | [
"MIT"
] | null | null | null | import numpy as np
from keras import backend as K
import sys
import os
def main():
K.set_image_dim_ordering('tf')
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from keras_video_classifier.library.recurrent_networks import VGG16BidirectionalLSTMVideoClassifier
from keras_video_classif... | 39.694444 | 123 | 0.757173 | import numpy as np
from keras import backend as K
import sys
import os
def main():
K.set_image_dim_ordering('tf')
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from keras_video_classifier.library.recurrent_networks import VGG16BidirectionalLSTMVideoClassifier
from keras_video_classif... | true | true |
f7fb3949f6b5e489477ca4a6a801107f3836b3ce | 5,740 | py | Python | docs/source/examples/isaacgym_sequential_shared_memory_eval.py | Toni-SM/skrl | 15b429d89e3b8a1828b207d88463bf7090288d18 | [
"MIT"
] | 43 | 2021-12-19T07:47:43.000Z | 2022-03-31T05:24:42.000Z | docs/source/examples/isaacgym_sequential_shared_memory_eval.py | Toni-SM/skrl | 15b429d89e3b8a1828b207d88463bf7090288d18 | [
"MIT"
] | 5 | 2022-01-05T07:54:13.000Z | 2022-03-08T21:00:39.000Z | docs/source/examples/isaacgym_sequential_shared_memory_eval.py | Toni-SM/skrl | 15b429d89e3b8a1828b207d88463bf7090288d18 | [
"MIT"
] | 1 | 2022-01-31T17:53:52.000Z | 2022-01-31T17:53:52.000Z | import isaacgym
import torch
import torch.nn as nn
import torch.nn.functional as F
# Import the skrl components to build the RL system
from skrl.models.torch import GaussianModel, DeterministicModel
from skrl.agents.torch.ddpg import DDPG, DDPG_DEFAULT_CONFIG
from skrl.agents.torch.td3 import TD3, TD3_DEFAULT_CONFIG
... | 44.153846 | 112 | 0.723868 | import isaacgym
import torch
import torch.nn as nn
import torch.nn.functional as F
from skrl.models.torch import GaussianModel, DeterministicModel
from skrl.agents.torch.ddpg import DDPG, DDPG_DEFAULT_CONFIG
from skrl.agents.torch.td3 import TD3, TD3_DEFAULT_CONFIG
from skrl.agents.torch.sac import SAC, SAC_DEFAULT_... | true | true |
f7fb3bf624dc695a6936a66718e687066ef8c8b0 | 62 | py | Python | uru_crm/modules/veggies/__init__.py | gitbenji/uru-crm | b5d29c94fe5f9e6f872b2a3b7bd1fe64ce47a841 | [
"MIT"
] | null | null | null | uru_crm/modules/veggies/__init__.py | gitbenji/uru-crm | b5d29c94fe5f9e6f872b2a3b7bd1fe64ce47a841 | [
"MIT"
] | null | null | null | uru_crm/modules/veggies/__init__.py | gitbenji/uru-crm | b5d29c94fe5f9e6f872b2a3b7bd1fe64ce47a841 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .models import Available_Veggie
| 15.5 | 36 | 0.677419 |
from .models import Available_Veggie
| true | true |
f7fb3c54115abca058513a3ce2a02040515b8bbd | 4,444 | py | Python | scripts/pyvision/util/fast_util.py | wolfram2012/ros_track_ssd | c98d54eb923e5bae5fde4abbedda2fe5ba716606 | [
"MIT"
] | null | null | null | scripts/pyvision/util/fast_util.py | wolfram2012/ros_track_ssd | c98d54eb923e5bae5fde4abbedda2fe5ba716606 | [
"MIT"
] | null | null | null | scripts/pyvision/util/fast_util.py | wolfram2012/ros_track_ssd | c98d54eb923e5bae5fde4abbedda2fe5ba716606 | [
"MIT"
] | null | null | null | import numpy as np
from scipy import weave
class LocalMaximumDetector:
def __init__(self,max_length=1000000):
self.max_length = max_length
self.maxes = np.zeros((max_length,2),dtype=np.int)
self.vals = np.zeros((max_length,),dtype=np.float)
def __call__(self, mat, threshold = None... | 36.42623 | 82 | 0.34766 | import numpy as np
from scipy import weave
class LocalMaximumDetector:
def __init__(self,max_length=1000000):
self.max_length = max_length
self.maxes = np.zeros((max_length,2),dtype=np.int)
self.vals = np.zeros((max_length,),dtype=np.float)
def __call__(self, mat, threshold = None... | true | true |
f7fb3d3bc8254e1bf13f8bf6237bdef7713df69f | 4,431 | py | Python | evaluation/ablation/ablation-exp-gen.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 27 | 2020-02-16T22:26:34.000Z | 2022-02-17T04:17:19.000Z | evaluation/ablation/ablation-exp-gen.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 77 | 2020-01-21T15:37:35.000Z | 2022-03-11T19:48:43.000Z | evaluation/ablation/ablation-exp-gen.py | sgpthomas/diospyros | 27d4e5e5d4e56a6dc5860d7c7d5eefb27de24a5d | [
"MIT"
] | 1 | 2021-09-27T20:35:15.000Z | 2021-09-27T20:35:15.000Z | import argparse
import os
import sys
import subprocess
import shutil
# Name of the directory to store the result of running example-gen.rkt
BASE = "base"
NATURE = "Nature"
def check_path(path, diagnostic):
"""
Make sure that `path` exists and exits otherwise.
"""
if not os.path.exists(path):
... | 29.344371 | 102 | 0.589483 | import argparse
import os
import sys
import subprocess
import shutil
BASE = "base"
NATURE = "Nature"
def check_path(path, diagnostic):
if not os.path.exists(path):
print(f"Could not find {path}. {diagnostic}")
sys.exit(1)
def generate_base(params, out):
os.makedirs(out)
experiment_pat... | true | true |
f7fb3d59ef04f637d8cc1e566d99d9c76171e27d | 189 | py | Python | src/oxygen/__init__.py | stude1/robotframework-oxygen | e9845ab5d392d5d75d296d8cbca47f3a66659697 | [
"MIT"
] | 13 | 2020-05-15T08:30:13.000Z | 2022-01-24T01:10:29.000Z | src/oxygen/__init__.py | stude1/robotframework-oxygen | e9845ab5d392d5d75d296d8cbca47f3a66659697 | [
"MIT"
] | 23 | 2020-05-18T09:00:16.000Z | 2022-01-20T06:32:38.000Z | src/oxygen/__init__.py | stude1/robotframework-oxygen | e9845ab5d392d5d75d296d8cbca47f3a66659697 | [
"MIT"
] | 5 | 2020-08-21T07:08:18.000Z | 2021-11-29T18:04:46.000Z | from .version import VERSION
from .base_handler import BaseHandler
from .oxygen import listener, OxygenLibrary
__all__ = ['BaseHandler', 'listener', 'OxygenLibrary']
__version__ = VERSION
| 27 | 54 | 0.798942 | from .version import VERSION
from .base_handler import BaseHandler
from .oxygen import listener, OxygenLibrary
__all__ = ['BaseHandler', 'listener', 'OxygenLibrary']
__version__ = VERSION
| true | true |
f7fb3eb2144b59bf46943a6752ca3e8a7f8da079 | 22,015 | py | Python | ibis/impala/ddl.py | ZeroCool2u/ibis | 19d152fa97f828ad70e4cd46f3cd7d2bae27eb64 | [
"Apache-2.0"
] | null | null | null | ibis/impala/ddl.py | ZeroCool2u/ibis | 19d152fa97f828ad70e4cd46f3cd7d2bae27eb64 | [
"Apache-2.0"
] | null | null | null | ibis/impala/ddl.py | ZeroCool2u/ibis | 19d152fa97f828ad70e4cd46f3cd7d2bae27eb64 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Cloudera Inc.
#
# 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, so... | 26.979167 | 79 | 0.607722 |
import json
import re
import ibis.expr.datatypes as dt
import ibis.expr.schema as sch
from ibis.backends.base_sql import quote_identifier
from ibis.sql.compiler import DDL, DML
from .compiler import _type_to_sql_string
fully_qualified_re = re.compile(r"(.*)\.(?:`(.*)`|(.*))")
def _is_fully_qualified(... | true | true |
f7fb40398c878dfaf2588248dc7ef17938220a50 | 100 | py | Python | tests/test_example.py | ro-56/python_package_skeleton | dd64a2d6921f9bb07335241c34e9b50a72a05f1a | [
"MIT"
] | null | null | null | tests/test_example.py | ro-56/python_package_skeleton | dd64a2d6921f9bb07335241c34e9b50a72a05f1a | [
"MIT"
] | null | null | null | tests/test_example.py | ro-56/python_package_skeleton | dd64a2d6921f9bb07335241c34e9b50a72a05f1a | [
"MIT"
] | null | null | null | import python_package_skeleton
def test_example():
assert python_package_skeleton is not None
| 16.666667 | 46 | 0.82 | import python_package_skeleton
def test_example():
assert python_package_skeleton is not None
| true | true |
f7fb40c173b3d7347b95d90e09c986f46b084ceb | 1,648 | py | Python | pagarmecoreapi/models/create_checkout_card_installment_option_request.py | pagarme/pagarme-core-api-python | c7b11ca78ab3e7e896e5b75048e6f72b511db00e | [
"MIT"
] | 6 | 2021-09-02T19:55:04.000Z | 2022-03-16T14:06:15.000Z | pagarmecoreapi/models/create_checkout_card_installment_option_request.py | pagarme/pagarme-core-api-python | c7b11ca78ab3e7e896e5b75048e6f72b511db00e | [
"MIT"
] | 2 | 2021-10-11T22:48:15.000Z | 2022-01-24T18:24:23.000Z | pagarmecoreapi/models/create_checkout_card_installment_option_request.py | pagarme/pagarme-core-api-python | c7b11ca78ab3e7e896e5b75048e6f72b511db00e | [
"MIT"
] | 2 | 2021-09-12T21:43:32.000Z | 2022-03-07T16:58:54.000Z | # -*- coding: utf-8 -*-
"""
pagarmecoreapi
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
class CreateCheckoutCardInstallmentOptionRequest(object):
"""Implementation of the 'CreateCheckoutCardInstallmentOptionRequest' model.
Options for card instal... | 25.75 | 84 | 0.585558 |
class CreateCheckoutCardInstallmentOptionRequest(object):
_names = {
"number":'number',
"total":'total'
}
def __init__(self,
number=None,
total=None):
self.number = number
self.total = total
@cla... | true | true |
f7fb410f11b30bda329800229f4b00eac1f72216 | 7,797 | py | Python | custom_components/cozylife/tcp_client.py | Daandeve/hass-cozylife | 59ca726179de3c9b22e4149c68b3bed8cca2848d | [
"MIT"
] | null | null | null | custom_components/cozylife/tcp_client.py | Daandeve/hass-cozylife | 59ca726179de3c9b22e4149c68b3bed8cca2848d | [
"MIT"
] | null | null | null | custom_components/cozylife/tcp_client.py | Daandeve/hass-cozylife | 59ca726179de3c9b22e4149c68b3bed8cca2848d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import socket
import time
from typing import Optional, Union, Any
import logging
try:
from .utils import get_pid_list, get_sn
except:
from utils import get_pid_list, get_sn
CMD_INFO = 0
CMD_QUERY = 2
CMD_SET = 3
CMD_LIST = [CMD_INFO, CMD_QUERY, CMD_SET]
_LOGGER = logging.getLogg... | 28.25 | 116 | 0.492497 |
import json
import socket
import time
from typing import Optional, Union, Any
import logging
try:
from .utils import get_pid_list, get_sn
except:
from utils import get_pid_list, get_sn
CMD_INFO = 0
CMD_QUERY = 2
CMD_SET = 3
CMD_LIST = [CMD_INFO, CMD_QUERY, CMD_SET]
_LOGGER = logging.getLogger(__name__)
class tc... | true | true |
f7fb41dd37ad3ace248a8f3d060c2475f9655c07 | 2,879 | py | Python | test/recon/test_recon.py | DobromirM/swim-system-python | a5b4f05457f1eb2739a920c42dfc721c83a1226a | [
"Apache-2.0"
] | 8 | 2019-11-11T19:38:59.000Z | 2022-01-06T11:13:04.000Z | test/recon/test_recon.py | swimos/swim-system-python | 727c09b6e7300b063e320364373ff724d9b8af90 | [
"Apache-2.0"
] | 40 | 2019-10-29T10:35:49.000Z | 2021-05-14T22:18:35.000Z | test/recon/test_recon.py | DobromirM/swim-system-python | a5b4f05457f1eb2739a920c42dfc721c83a1226a | [
"Apache-2.0"
] | 3 | 2020-01-31T18:28:58.000Z | 2021-08-25T08:53:13.000Z | # Copyright 2015-2021 SWIM.AI inc.
#
# 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 ... | 35.109756 | 108 | 0.652657 |
import unittest
from swimai.structures import RecordMap, Attr, Text, Slot
from swimai.recon import Recon
from swimai.recon._parsers import _ReconParser
from swimai.recon._writers import _ReconWriter
class TestRecon(unittest.TestCase):
def test_parse(self):
recon_string = '@sync(no... | true | true |
f7fb424e1240eace1bfbe7d85e0651d436711408 | 2,045 | py | Python | vitrage_dashboard/api/vitrage.py | mail2nsrajesh/vitrage-dashboard | 3b23bc5b3c63dfa0aeff54f09796d8e7663f681f | [
"Apache-2.0"
] | null | null | null | vitrage_dashboard/api/vitrage.py | mail2nsrajesh/vitrage-dashboard | 3b23bc5b3c63dfa0aeff54f09796d8e7663f681f | [
"Apache-2.0"
] | null | null | null | vitrage_dashboard/api/vitrage.py | mail2nsrajesh/vitrage-dashboard | 3b23bc5b3c63dfa0aeff54f09796d8e7663f681f | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 - Alcatel-Lucent
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 38.584906 | 77 | 0.694377 |
from horizon.utils.memoized import memoized
from keystoneauth1.identity.generic.token import Token
from keystoneauth1.session import Session
from openstack_dashboard.api import base
from vitrageclient import client as vitrage_client
@memoized
def vitrageclient(request, password=None):
endpoint = ... | true | true |
f7fb42a391f08966123d877bed890d4c15d4a18c | 12,081 | py | Python | selfdrive/car/gm/interface.py | wzpyh/openpilot | a422246dc30bce11e970514f13f7c110f4470cc3 | [
"MIT"
] | null | null | null | selfdrive/car/gm/interface.py | wzpyh/openpilot | a422246dc30bce11e970514f13f7c110f4470cc3 | [
"MIT"
] | null | null | null | selfdrive/car/gm/interface.py | wzpyh/openpilot | a422246dc30bce11e970514f13f7c110f4470cc3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from cereal import car, log
from common.realtime import sec_since_boot
from selfdrive.config import Conversions as CV
from selfdrive.controls.lib.drive_helpers import create_event, EventTypes as ET
from selfdrive.controls.lib.vehicle_model import VehicleModel
from selfdrive.car.gm.values import DB... | 36.170659 | 112 | 0.681401 |
from cereal import car, log
from common.realtime import sec_since_boot
from selfdrive.config import Conversions as CV
from selfdrive.controls.lib.drive_helpers import create_event, EventTypes as ET
from selfdrive.controls.lib.vehicle_model import VehicleModel
from selfdrive.car.gm.values import DBC, CAR, STOCK_CONTROL... | true | true |
f7fb43c6f0c42872270e32e5c6024a860a8c3c49 | 1,037 | py | Python | bighack/urls.py | mithron/jobalance | ad14a1b5f1e6163a7db26c274985d36078e8da4a | [
"MIT"
] | 1 | 2017-11-20T11:26:57.000Z | 2017-11-20T11:26:57.000Z | bighack/urls.py | mithron/jobalance | ad14a1b5f1e6163a7db26c274985d36078e8da4a | [
"MIT"
] | null | null | null | bighack/urls.py | mithron/jobalance | ad14a1b5f1e6163a7db26c274985d36078e8da4a | [
"MIT"
] | 2 | 2019-02-17T19:45:16.000Z | 2019-08-10T07:45:29.000Z | """bighack URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... | 38.407407 | 79 | 0.700096 | from django.conf.urls import url, include
from django.contrib import admin
from api.views import FrontendAppView
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^api/v0/', include('api.urls', namespace='api', app_name='api')),
url(r'^$', FrontendAppView.as_view()),
url(r'^index.html', FrontendA... | true | true |
f7fb4411c4f43a8dcf03cea84fecf403f7ca7050 | 1,986 | py | Python | src/tensorflow/igibson/utils/navigate_env.py | suresh-guttikonda/sim-environment | cc8faec17714d58c0e1f0227c8b7d4cf8817a136 | [
"Apache-2.0"
] | null | null | null | src/tensorflow/igibson/utils/navigate_env.py | suresh-guttikonda/sim-environment | cc8faec17714d58c0e1f0227c8b7d4cf8817a136 | [
"Apache-2.0"
] | null | null | null | src/tensorflow/igibson/utils/navigate_env.py | suresh-guttikonda/sim-environment | cc8faec17714d58c0e1f0227c8b7d4cf8817a136 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from gibson2.envs.igibson_env import iGibsonEnv
from gibson2.utils.utils import l2_distance
from utils import datautils
import numpy as np
import gym
class NavigateGibsonEnv(iGibsonEnv):
def __init__(
self,
config_file,
scene_id=None,
mode='headless',
... | 30.553846 | 79 | 0.574522 |
from gibson2.envs.igibson_env import iGibsonEnv
from gibson2.utils.utils import l2_distance
from utils import datautils
import numpy as np
import gym
class NavigateGibsonEnv(iGibsonEnv):
def __init__(
self,
config_file,
scene_id=None,
mode='headless',
action_timestep=1 / ... | true | true |
f7fb447bb5566e988140086dd1124b76c763f4b7 | 13,416 | py | Python | src/framed/bioreactor/base.py | cdanielmachado/framed | 36d56437685cbf5c7c3c8ee4f6d85b8f05f4d345 | [
"Apache-2.0"
] | 25 | 2015-01-07T16:17:03.000Z | 2022-01-24T09:11:50.000Z | src/framed/bioreactor/base.py | cdanielmachado/framed | 36d56437685cbf5c7c3c8ee4f6d85b8f05f4d345 | [
"Apache-2.0"
] | 12 | 2016-02-18T12:50:09.000Z | 2020-12-18T08:56:44.000Z | src/framed/bioreactor/base.py | cdanielmachado/framed | 36d56437685cbf5c7c3c8ee4f6d85b8f05f4d345 | [
"Apache-2.0"
] | 14 | 2015-02-17T14:55:27.000Z | 2021-08-09T17:57:57.000Z | """ This module defines the base classes used for modeling and analyzing bioreactors
Author: Kai Zhuang
"""
from __future__ import print_function
from builtins import object
__author__ = 'kaizhuang'
from copy import deepcopy
from ..solvers import solver_instance
from framed.solvers.solution import Status
from scipy.... | 36.555858 | 128 | 0.629696 | from __future__ import print_function
from builtins import object
__author__ = 'kaizhuang'
from copy import deepcopy
from ..solvers import solver_instance
from framed.solvers.solution import Status
from scipy.integrate import ode
import numpy
import collections
import warnings
class Organism(object):
def __ini... | true | true |
f7fb44b4acc10a4e04c8d07ca643fecbbf1ea48d | 568 | py | Python | yosim/servers/models.py | thoongnv/yosim | 22bcaceb2c40735363496d9404970a73c4b944bc | [
"MIT"
] | 2 | 2022-02-15T03:41:13.000Z | 2022-02-15T03:44:46.000Z | yosim/servers/models.py | thoongnv/yosim | 22bcaceb2c40735363496d9404970a73c4b944bc | [
"MIT"
] | 5 | 2021-06-08T22:26:24.000Z | 2022-03-12T00:21:35.000Z | yosim/servers/models.py | thoongnv/yosim | 22bcaceb2c40735363496d9404970a73c4b944bc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
@python_2_unicode_compatible
class Server(models.Model):
last_contact = models.IntegerField()
version = models.CharField(max_length=32)
hostname = models.CharField(unique=True, max_length=64)... | 28.4 | 61 | 0.663732 |
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
@python_2_unicode_compatible
class Server(models.Model):
last_contact = models.IntegerField()
version = models.CharField(max_length=32)
hostname = models.CharField(unique=True, max_length=64)
information = mode... | true | true |
f7fb44c13c6bdd9ddea79dbd19b24d52529fc950 | 3,613 | py | Python | tests/test_parametric_reactors/test_flf_system_code_reactor.py | generein/paramak | cec738b278c285a17eaa69fc1f35ea4788204a8c | [
"MIT"
] | 25 | 2021-06-22T07:29:32.000Z | 2022-03-28T13:30:53.000Z | tests/test_parametric_reactors/test_flf_system_code_reactor.py | generein/paramak | cec738b278c285a17eaa69fc1f35ea4788204a8c | [
"MIT"
] | 181 | 2021-06-22T00:56:30.000Z | 2022-03-31T22:36:54.000Z | tests/test_parametric_reactors/test_flf_system_code_reactor.py | generein/paramak | cec738b278c285a17eaa69fc1f35ea4788204a8c | [
"MIT"
] | 8 | 2021-07-05T12:29:43.000Z | 2022-03-24T13:17:37.000Z | import math
import os
import unittest
from pathlib import Path
import pytest
import paramak
class TestFlfSystemCodeReactor(unittest.TestCase):
"""Tests the FlfSystemCodeReactor functionality"""
def setUp(self):
self.test_reactor = paramak.FlfSystemCodeReactor(
inner_blanket_radius=100,
... | 33.766355 | 77 | 0.631331 | import math
import os
import unittest
from pathlib import Path
import pytest
import paramak
class TestFlfSystemCodeReactor(unittest.TestCase):
def setUp(self):
self.test_reactor = paramak.FlfSystemCodeReactor(
inner_blanket_radius=100,
blanket_thickness=60,
blanket_h... | true | true |
f7fb450fa06058c4866cea07fa284fd3bdbb596d | 2,572 | py | Python | placementApp/permissions.py | deepnanda30/placement-portal-web | 2b7450ab48e7c7ee9f3179da7edda01e840f6542 | [
"MIT"
] | 1 | 2020-09-27T12:28:49.000Z | 2020-09-27T12:28:49.000Z | placementApp/permissions.py | deepnanda30/placement-portal-web | 2b7450ab48e7c7ee9f3179da7edda01e840f6542 | [
"MIT"
] | 25 | 2020-03-04T04:20:57.000Z | 2022-02-27T00:40:07.000Z | placementApp/permissions.py | deepnanda30/placement-portal-web | 2b7450ab48e7c7ee9f3179da7edda01e840f6542 | [
"MIT"
] | 15 | 2020-02-28T12:23:25.000Z | 2020-05-22T18:17:19.000Z | from rest_framework.permissions import BasePermission, SAFE_METHODS
# from customer.models import User
class IsStaffOrOwner(BasePermission):
message = "You do not have the permission to perform this action."
def has_permission(self, request, view):
if request.user.is_authenticated and (
... | 34.293333 | 86 | 0.68818 | from rest_framework.permissions import BasePermission, SAFE_METHODS
class IsStaffOrOwner(BasePermission):
message = "You do not have the permission to perform this action."
def has_permission(self, request, view):
if request.user.is_authenticated and (
request.user.is_student() and view... | true | true |
f7fb4d6e8546b6f2f590dd05a22a5c6aaa218e9c | 147 | py | Python | cupons/urls.py | MisterLenivec/django-online-store | 56f0496ef68e9580772f91f31b94182dc81858c5 | [
"MIT"
] | 1 | 2021-07-05T18:45:58.000Z | 2021-07-05T18:45:58.000Z | cupons/urls.py | MisterLenivec/django-online-store | 56f0496ef68e9580772f91f31b94182dc81858c5 | [
"MIT"
] | 9 | 2019-12-27T21:03:29.000Z | 2022-03-12T00:10:27.000Z | cupons/urls.py | MisterLenivec/django-online-store | 56f0496ef68e9580772f91f31b94182dc81858c5 | [
"MIT"
] | 1 | 2022-03-14T10:05:17.000Z | 2022-03-14T10:05:17.000Z | from django.urls import path
from .views import cupon_apply
app_name = 'cupons'
urlpatterns = [
path('apply/', cupon_apply, name='apply')
]
| 14.7 | 45 | 0.707483 | from django.urls import path
from .views import cupon_apply
app_name = 'cupons'
urlpatterns = [
path('apply/', cupon_apply, name='apply')
]
| true | true |
f7fb4e3cd4b83e81e5c65969bdc8b00122b9a5d5 | 13,864 | py | Python | qiskit/circuit/instruction.py | michelle4654/qiskit-terra | 1b18ea1debf2e9d3c0c3cf39e8c434352d2b2707 | [
"Apache-2.0"
] | null | null | null | qiskit/circuit/instruction.py | michelle4654/qiskit-terra | 1b18ea1debf2e9d3c0c3cf39e8c434352d2b2707 | [
"Apache-2.0"
] | null | null | null | qiskit/circuit/instruction.py | michelle4654/qiskit-terra | 1b18ea1debf2e9d3c0c3cf39e8c434352d2b2707 | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 36.104167 | 96 | 0.615479 |
import warnings
import copy
from itertools import zip_longest
import numpy
from qiskit.circuit.exceptions import CircuitError
from qiskit.circuit.quantumregister import QuantumRegister
from qiskit.circuit.classicalregister import ClassicalRegister
from qiskit.qobj.qasm_qobj import QasmQobjInstruction
from... | true | true |
f7fb4f7ae829a3e37ec8732635df733ece8b21ed | 908 | py | Python | tests/test_token.py | chie8842/tiny_tokenizer | 6599873c050f4e064c88381688d8476346b57099 | [
"MIT"
] | null | null | null | tests/test_token.py | chie8842/tiny_tokenizer | 6599873c050f4e064c88381688d8476346b57099 | [
"MIT"
] | null | null | null | tests/test_token.py | chie8842/tiny_tokenizer | 6599873c050f4e064c88381688d8476346b57099 | [
"MIT"
] | null | null | null | """Test for word tokenizers"""
import unittest
from tiny_tokenizer.tiny_tokenizer_token import Token
class TokenTest(unittest.TestCase):
"""Test ordinal word tokenizer."""
def test_token_without_feature(self):
token = Token(surface="大崎")
self.assertEqual("大崎", token.surface)
self.ass... | 26.705882 | 53 | 0.577093 | import unittest
from tiny_tokenizer.tiny_tokenizer_token import Token
class TokenTest(unittest.TestCase):
def test_token_without_feature(self):
token = Token(surface="大崎")
self.assertEqual("大崎", token.surface)
self.assertEqual("", token.feature)
def test_token_with_postag(self):
... | true | true |
f7fb4faea4862b30e0c9e995a07c42deabde0ff6 | 9,856 | py | Python | Collections-a-installer/community-general-2.4.0/plugins/modules/cloud/huawei/hwc_smn_topic.py | d-amien-b/simple-getwordpress | da90d515a0aa837b633d50db4d91d22b031c04a2 | [
"MIT"
] | 22 | 2021-07-16T08:11:22.000Z | 2022-03-31T07:15:34.000Z | Collections-a-installer/community-general-2.4.0/plugins/modules/cloud/huawei/hwc_smn_topic.py | d-amien-b/simple-getwordpress | da90d515a0aa837b633d50db4d91d22b031c04a2 | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | Collections-a-installer/community-general-2.4.0/plugins/modules/cloud/huawei/hwc_smn_topic.py | d-amien-b/simple-getwordpress | da90d515a0aa837b633d50db4d91d22b031c04a2 | [
"MIT"
] | 39 | 2021-07-05T02:31:42.000Z | 2022-03-31T02:46:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2019 Huawei
# GNU General Public License v3.0+ (see COPYING or
# https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
#################################################################... | 29.073746 | 118 | 0.56808 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
| true | true |
f7fb505ad76c416833293aff0d93b0ddfd7961d0 | 3,797 | py | Python | agentsbar/environments.py | laszukdawid/ai-traineree-client | f0b60ecbca0616ff40c5944a7da4ccbc1f0556e0 | [
"Apache-2.0"
] | null | null | null | agentsbar/environments.py | laszukdawid/ai-traineree-client | f0b60ecbca0616ff40c5944a7da4ccbc1f0556e0 | [
"Apache-2.0"
] | null | null | null | agentsbar/environments.py | laszukdawid/ai-traineree-client | f0b60ecbca0616ff40c5944a7da4ccbc1f0556e0 | [
"Apache-2.0"
] | null | null | null | from dataclasses import asdict
from typing import Any, Dict, List
from agentsbar.client import Client
from agentsbar.types import EnvironmentCreate
from agentsbar.utils import response_raise_error_if_any
ENV_PREFIX = "/environments"
def get_many(client: Client) -> List[Dict]:
"""Gets environments belonging to a... | 29.207692 | 114 | 0.687912 | from dataclasses import asdict
from typing import Any, Dict, List
from agentsbar.client import Client
from agentsbar.types import EnvironmentCreate
from agentsbar.utils import response_raise_error_if_any
ENV_PREFIX = "/environments"
def get_many(client: Client) -> List[Dict]:
response = client.get(f"{ENV_PREFIX... | true | true |
f7fb508ac353c588a4347cfd6dc0e5564b45f405 | 2,291 | py | Python | experiments/ashvin/icml2020/hand/pen/demo_awr3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/pen/demo_awr3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/pen/demo_awr3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
if __name__ == "__main__":
variant = dict(... | 27.939024 | 74 | 0.602794 |
from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
if __name__ == "__main__":
variant = dict(
num_epochs=3000,
num_e... | true | true |
f7fb50f279fdc0e3a371f6fba36b3162b2cfac7c | 549 | py | Python | iquhack/migrations/0002_auto_20201218_0849.py | mwalsh161/iquise-website | ab674d7881e418fe02b533ae477982e328e8fec7 | [
"MIT"
] | 1 | 2021-12-19T01:05:26.000Z | 2021-12-19T01:05:26.000Z | iquhack/migrations/0002_auto_20201218_0849.py | iQuISE/iquise-website | e6125fe938c549e020cd53a5aa718de101e972e9 | [
"MIT"
] | 16 | 2020-07-29T14:12:30.000Z | 2021-08-24T13:00:48.000Z | iquhack/migrations/0002_auto_20201218_0849.py | mwalsh161/iquise-website | ab674d7881e418fe02b533ae477982e328e8fec7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2020-12-18 13:49
from __future__ import unicode_literals
from django.db import migrations, models
import iquhack.models
class Migration(migrations.Migration):
dependencies = [
('iquhack', '0001_initial'),
]
operations = [
migratio... | 24.954545 | 137 | 0.653916 |
from __future__ import unicode_literals
from django.db import migrations, models
import iquhack.models
class Migration(migrations.Migration):
dependencies = [
('iquhack', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='sponsor',
name='logo'... | true | true |
f7fb510ceafae706ba62587d85df749b94bf2bd2 | 4,411 | py | Python | dev/circuitpython/examples/trellism4_wavefile_synth/trellism4_wavefile_synth.py | scripsi/picodeebee | 0ec77e92f09fa8711705623482e57a5e0b702696 | [
"MIT"
] | 7 | 2021-03-15T10:06:20.000Z | 2022-03-23T02:53:15.000Z | Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/trellism4_wavefile_synth/trellism4_wavefile_synth.py | IanSMoyes/SpiderPi | cc3469980ae87b92d0dc43c05dbd579f0fa8c4b1 | [
"Apache-2.0"
] | 5 | 2021-04-27T18:21:11.000Z | 2021-05-02T14:17:14.000Z | Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/trellism4_wavefile_synth/trellism4_wavefile_synth.py | IanSMoyes/SpiderPi | cc3469980ae87b92d0dc43c05dbd579f0fa8c4b1 | [
"Apache-2.0"
] | null | null | null | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
#
# SPDX-License-Identifier: MIT
"""
This synthesizer is loaded with wave files for 3 octaves of notes each in 4 different waveforms.
It uses Mixer to play up to 7 notes at once.
Play notes with the rainbow buttons. Change waveform types ith the whi... | 35.572581 | 101 | 0.584901 |
import board
from audiocore import WaveFile
from audioio import AudioOut
from audiomixer import Mixer
import adafruit_trellism4
trellis = adafruit_trellism4.TrellisM4Express()
trellis.pixels.brightness = 0.05
note_letters = ["C", "D", "E", "F", "G", "A", "B"]
colors = [
(255, 0, 0),
(255, 1... | true | true |
f7fb523d5b03c83be4d6ab80ed45d3c8fd9e55ab | 29,562 | py | Python | sdk/python/pulumi_aws/msk/outputs.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-11-10T16:33:40.000Z | 2021-11-10T16:33:40.000Z | sdk/python/pulumi_aws/msk/outputs.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/msk/outputs.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 38.144516 | 286 | 0.65618 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
__all__ = [
'ClusterBrokerNodeGroupInfo',
'ClusterClientAuthentication',
'ClusterClientAuthenticationSasl',
'ClusterClientAuthenti... | true | true |
f7fb52da2bf41b87bf5e95e2cb604acacdc7ca3b | 2,198 | py | Python | aliyun-python-sdk-ccc/aliyunsdkccc/request/v20170705/AssignUsersRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | 1 | 2019-12-23T12:36:43.000Z | 2019-12-23T12:36:43.000Z | aliyun-python-sdk-ccc/aliyunsdkccc/request/v20170705/AssignUsersRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-ccc/aliyunsdkccc/request/v20170705/AssignUsersRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | 1 | 2021-02-23T11:27:54.000Z | 2021-02-23T11:27:54.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.451613 | 74 | 0.729754 |
from aliyunsdkcore.request import RpcRequest
class AssignUsersRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'CCC', '2017-07-05', 'AssignUsers','ccc')
def get_UserRamIds(self):
return self.get_query_params().get('UserRamIds')
def set_UserRamIds(self,UserRamIds):
... | true | true |
f7fb5330e15c47936ba1adcbcb8963f8a89a8cf9 | 135 | py | Python | nanosound_oled/amp_power.py | divanikus/Nanomesher_NanoSound | e533e165b16a72b07a680cbc180854e544cbeee1 | [
"Apache-2.0"
] | 21 | 2017-10-03T12:28:03.000Z | 2022-03-07T00:16:52.000Z | nanosound_oled/amp_power.py | divanikus/Nanomesher_NanoSound | e533e165b16a72b07a680cbc180854e544cbeee1 | [
"Apache-2.0"
] | 11 | 2019-01-07T13:36:00.000Z | 2020-10-16T16:58:59.000Z | nanosound_oled/amp_power.py | divanikus/Nanomesher_NanoSound | e533e165b16a72b07a680cbc180854e544cbeee1 | [
"Apache-2.0"
] | 18 | 2017-10-24T01:56:24.000Z | 2022-01-31T19:35:06.000Z | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(27,GPIO.OUT)
GPIO.output(27,GPIO.HIGH)
| 15 | 25 | 0.777778 | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(27,GPIO.OUT)
GPIO.output(27,GPIO.HIGH)
| true | true |
f7fb541837fd69348b53851dc9c26d7d29e24326 | 19,355 | py | Python | uploadstreaks/uploadstreaks.py | trumoose/OB13-Cogs | 07d37bd93e03fc66f044a5083475eafe397cbd2f | [
"MIT"
] | null | null | null | uploadstreaks/uploadstreaks.py | trumoose/OB13-Cogs | 07d37bd93e03fc66f044a5083475eafe397cbd2f | [
"MIT"
] | null | null | null | uploadstreaks/uploadstreaks.py | trumoose/OB13-Cogs | 07d37bd93e03fc66f044a5083475eafe397cbd2f | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2021-present Obi-Wan3
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publi... | 47.672414 | 302 | 0.637251 |
import typing
from datetime import datetime, timedelta, timezone
import discord
from redbot.core import commands, Config, bank
from redbot.core.utils.chat_formatting import humanize_list
class UploadStreaks(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.config = Config.get_conf(sel... | true | true |
f7fb54897f8a43dabdc0581b6989814cc668957d | 55 | py | Python | oscar/templatetags/sorting_tags.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | null | null | null | oscar/templatetags/sorting_tags.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | null | null | null | oscar/templatetags/sorting_tags.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | 1 | 2019-07-10T06:32:14.000Z | 2019-07-10T06:32:14.000Z | from django_sorting.templatetags.sorting_tags import *
| 27.5 | 54 | 0.872727 | from django_sorting.templatetags.sorting_tags import *
| true | true |
f7fb555585ebe863907c108e7db58f0e2104f720 | 3,924 | py | Python | Loader.py | MingSun-Tse/PytorchWCT | 9d11cc0995c0610c129b78ff5f72a26f4d60e10a | [
"MIT"
] | null | null | null | Loader.py | MingSun-Tse/PytorchWCT | 9d11cc0995c0610c129b78ff5f72a26f4d60e10a | [
"MIT"
] | null | null | null | Loader.py | MingSun-Tse/PytorchWCT | 9d11cc0995c0610c129b78ff5f72a26f4d60e10a | [
"MIT"
] | null | null | null | from PIL import Image
import torchvision.transforms as transforms
import torchvision.utils as vutils
import torch.utils.data as data
from os import listdir
from os.path import join
import numpy as np
import torch
import os
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
def is_image_file(f... | 45.627907 | 139 | 0.63787 | from PIL import Image
import torchvision.transforms as transforms
import torchvision.utils as vutils
import torch.utils.data as data
from os import listdir
from os.path import join
import numpy as np
import torch
import os
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
def is_image_file(f... | true | true |
f7fb55e5d35f2646ea4c54c7cd8670add5a6be16 | 343 | py | Python | model.py | Zadigo/flask_startup_template | 29eb4c29ef57c7fe8ff0041d980c03148549b0e2 | [
"MIT"
] | null | null | null | model.py | Zadigo/flask_startup_template | 29eb4c29ef57c7fe8ff0041d980c03148549b0e2 | [
"MIT"
] | null | null | null | model.py | Zadigo/flask_startup_template | 29eb4c29ef57c7fe8ff0041d980c03148549b0e2 | [
"MIT"
] | null | null | null | # from karista import db
# import datetime
# class Emails(db.Model):
# email_id = db.Column(db.Integer, primary_key=True)
# email = db.Column(db.Email, unique=False, nullable=False)
# date_creer = db.Column(db.DateTime, nullable=False, default=datetime.datetime.utcnow)
# def __repr__(self):
# ... | 34.3 | 92 | 0.685131 | true | true | |
f7fb56903b64027389bd473544f5466f0d6ac88d | 1,016 | py | Python | autowrt/__main__.py | krumelmonster/autowrt | 135228c921a2f41787e694900efb359cdd72a950 | [
"Unlicense"
] | 2 | 2021-05-14T17:37:31.000Z | 2021-05-14T18:11:51.000Z | autowrt/__main__.py | krumelmonster/autowrt | 135228c921a2f41787e694900efb359cdd72a950 | [
"Unlicense"
] | 1 | 2021-03-14T19:48:58.000Z | 2021-03-14T19:48:58.000Z | autowrt/__main__.py | krumelmonster/autowrt | 135228c921a2f41787e694900efb359cdd72a950 | [
"Unlicense"
] | null | null | null | from autowrt.router import Xiaomi
import os, sys
def main(imagedir: str = None, confpath: str = None, logdir: str = None):
confpath = confpath or os.getcwd()
imagedir = imagedir or os.getcwd()
logdir = logdir or os.getcwd()
confscript=os.path.join(confpath, 'config.py')
if not os.path.isfile(confs... | 30.787879 | 106 | 0.691929 | from autowrt.router import Xiaomi
import os, sys
def main(imagedir: str = None, confpath: str = None, logdir: str = None):
confpath = confpath or os.getcwd()
imagedir = imagedir or os.getcwd()
logdir = logdir or os.getcwd()
confscript=os.path.join(confpath, 'config.py')
if not os.path.isfile(confs... | true | true |
f7fb56adbe14a0507a6126dfda108fe9202885f7 | 22,830 | py | Python | irmark1/templates/complete.py | jram098/IRG | 5265d61c2e67cce43a3261563b3b0f3cea27d9e4 | [
"Apache-2.0"
] | 1 | 2019-11-07T22:22:53.000Z | 2019-11-07T22:22:53.000Z | irmark1/templates/complete.py | jram098/IRG | 5265d61c2e67cce43a3261563b3b0f3cea27d9e4 | [
"Apache-2.0"
] | null | null | null | irmark1/templates/complete.py | jram098/IRG | 5265d61c2e67cce43a3261563b3b0f3cea27d9e4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""
Scripts to drive an IR Mark One (2) car
Usage:
manage.py (drive) [--model=<model>] [--js] [--type=(linear|categorical|rnn|imu|behavior|3d|localizer|latent)] [--camera=(single|stereo)] [--meta=<key:value> ...]
manage.py (train) [--tub=<tub1,tub2,..tubn>] [--file=<file> ...] (--model=<... | 38.826531 | 190 | 0.613447 |
import os
import time
from docopt import docopt
import numpy as np
import irmark1 as m1
from irmark1.parts.transform import Lambda, TriggeredCallback, DelayedTrigger
from irmark1.parts.datastore import TubHandler
from irmark1.parts.controller import LocalWebController, JoystickController
from irmark1.parts.throttl... | true | true |
f7fb59808ba0a6fc372d370b26c1fc45691c8bb2 | 111 | py | Python | applicationinsights/__init__.py | Rebeccalau/ApplicationInsights-Python | cc91fede2d6d6c48acaa5687aa13ca491a17025a | [
"MIT"
] | 89 | 2015-05-06T22:02:17.000Z | 2019-04-22T14:50:33.000Z | applicationinsights/__init__.py | Rebeccalau/ApplicationInsights-Python | cc91fede2d6d6c48acaa5687aa13ca491a17025a | [
"MIT"
] | 115 | 2015-04-29T17:44:52.000Z | 2019-04-25T21:39:02.000Z | applicationinsights/__init__.py | Rebeccalau/ApplicationInsights-Python | cc91fede2d6d6c48acaa5687aa13ca491a17025a | [
"MIT"
] | 59 | 2015-04-19T13:34:52.000Z | 2019-04-25T21:04:02.000Z | from .TelemetryClient import TelemetryClient
from . import channel
from . import logging
from . import requests | 27.75 | 44 | 0.828829 | from .TelemetryClient import TelemetryClient
from . import channel
from . import logging
from . import requests | true | true |
f7fb5a20f6035fc77ef1fcd6f6277b27a12e61f3 | 13,596 | py | Python | ethereum/processblock.py | volut-staging/pyethereum | f44902a4e9ea0fee00f9ef3e58ce1fd566ffe45b | [
"MIT"
] | null | null | null | ethereum/processblock.py | volut-staging/pyethereum | f44902a4e9ea0fee00f9ef3e58ce1fd566ffe45b | [
"MIT"
] | null | null | null | ethereum/processblock.py | volut-staging/pyethereum | f44902a4e9ea0fee00f9ef3e58ce1fd566ffe45b | [
"MIT"
] | null | null | null | import sys
import rlp
from rlp.sedes import CountableList, binary
from rlp.utils import decode_hex, encode_hex, ascii_chr
from ethereum import opcodes
from ethereum import utils
from ethereum import specials
from ethereum import bloom
from ethereum import vm as vm
from ethereum.exceptions import InvalidNonce, Insuffici... | 38.515581 | 104 | 0.636437 | import sys
import rlp
from rlp.sedes import CountableList, binary
from rlp.utils import decode_hex, encode_hex, ascii_chr
from ethereum import opcodes
from ethereum import utils
from ethereum import specials
from ethereum import bloom
from ethereum import vm as vm
from ethereum.exceptions import InvalidNonce, Insuffici... | true | true |
f7fb5aea429174463bb79f3d130a4f2a062fec42 | 8,652 | py | Python | train.py | vietnguyen1991/Character-level-cnn-tensorflow | f4067093ef54a92fd3cd6558823fe6a06bfc5614 | [
"MIT"
] | 12 | 2019-01-31T22:59:43.000Z | 2019-08-21T07:14:47.000Z | train.py | vietnguyen91/Character-level-cnn-tensorflow | f4067093ef54a92fd3cd6558823fe6a06bfc5614 | [
"MIT"
] | 1 | 2019-10-25T12:59:48.000Z | 2019-10-25T12:59:57.000Z | train.py | nhviet1009/Character-level-cnn-tensorflow | f4067093ef54a92fd3cd6558823fe6a06bfc5614 | [
"MIT"
] | 6 | 2019-02-10T14:12:45.000Z | 2019-08-10T17:18:20.000Z | """
@author: Thang Nguyen <nhthang1009@gmail.com>
"""
import os
import shutil
import numpy as np
import tensorflow as tf
from src.character_level_cnn import Char_level_cnn
from src.utils import get_num_classes, create_dataset
tf.flags.DEFINE_string("alphabet", """abcdefghijklmnopqrstuvwxyz0123456789,;.!?:'\"/\\|_@#$... | 51.5 | 164 | 0.585298 | import os
import shutil
import numpy as np
import tensorflow as tf
from src.character_level_cnn import Char_level_cnn
from src.utils import get_num_classes, create_dataset
tf.flags.DEFINE_string("alphabet", """abcdefghijklmnopqrstuvwxyz0123456789,;.!?:'\"/\\|_@#$%^&*~`+-=<>()[]{}""",
"Valid ch... | true | true |
f7fb5be32144fa75c99705a27a898f52f78a27f3 | 31,247 | py | Python | venv/Lib/site-packages/pandas/tests/series/apply/test_series_apply.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pandas/tests/series/apply/test_series_apply.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pandas/tests/series/apply/test_series_apply.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | from collections import Counter, defaultdict
from itertools import chain
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Index, MultiIndex, Series, isna
import pandas._testing as tm
from pandas.core.base import SpecificationError
class TestSeriesApply:
def test_ap... | 37.376794 | 89 | 0.539412 | from collections import Counter, defaultdict
from itertools import chain
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Index, MultiIndex, Series, isna
import pandas._testing as tm
from pandas.core.base import SpecificationError
class TestSeriesApply:
def test_ap... | true | true |
f7fb5c3cc3be647cb0404baf8d7024dc58158c0d | 12,416 | py | Python | anyway/accidents_around_schools.py | shaniwein/anyway | dcd13bf7dc4a120f4d697ab0c08b906f43eea52e | [
"MIT"
] | 1 | 2022-01-19T18:23:03.000Z | 2022-01-19T18:23:03.000Z | anyway/accidents_around_schools.py | shaniwein/anyway | dcd13bf7dc4a120f4d697ab0c08b906f43eea52e | [
"MIT"
] | 2 | 2021-11-02T13:37:23.000Z | 2021-11-23T15:51:06.000Z | anyway/accidents_around_schools.py | shaniwein/anyway | dcd13bf7dc4a120f4d697ab0c08b906f43eea52e | [
"MIT"
] | null | null | null | import os
import math
import pandas as pd
import sqlalchemy as sa
from sqlalchemy import or_
from anyway.backend_constants import BE_CONST
from anyway.models import AccidentMarker, Involved, School
from anyway.app_and_db import db
SUBTYPE_ACCIDENT_WITH_PEDESTRIAN = 1
LOCATION_ACCURACY_PRECISE = True
LOCATION_ACCURAC... | 35.884393 | 519 | 0.625644 | import os
import math
import pandas as pd
import sqlalchemy as sa
from sqlalchemy import or_
from anyway.backend_constants import BE_CONST
from anyway.models import AccidentMarker, Involved, School
from anyway.app_and_db import db
SUBTYPE_ACCIDENT_WITH_PEDESTRIAN = 1
LOCATION_ACCURACY_PRECISE = True
LOCATION_ACCURAC... | true | true |
f7fb5e0f3bc10ab2ce84307dfcfa55e8c6d68bac | 4,906 | py | Python | vanilla_segmentation/train.py | khmariem/DenseFusion | e39f685e6315fc9319d47be0f859585f7dfcf288 | [
"MIT"
] | 1 | 2019-11-06T12:02:02.000Z | 2019-11-06T12:02:02.000Z | vanilla_segmentation/train.py | khmariem/DenseFusion | e39f685e6315fc9319d47be0f859585f7dfcf288 | [
"MIT"
] | null | null | null | vanilla_segmentation/train.py | khmariem/DenseFusion | e39f685e6315fc9319d47be0f859585f7dfcf288 | [
"MIT"
] | null | null | null | import os
import copy
import random
import argparse
import time
import numpy as np
from PIL import Image
import scipy.io as scio
import scipy.misc
import torch
from torch.optim.lr_scheduler import ReduceLROnPlateau
from torch.autograd import Variable
import torch.optim as optim
import torch.nn as nn
from torch.backends... | 45.850467 | 169 | 0.670404 | import os
import copy
import random
import argparse
import time
import numpy as np
from PIL import Image
import scipy.io as scio
import scipy.misc
import torch
from torch.optim.lr_scheduler import ReduceLROnPlateau
from torch.autograd import Variable
import torch.optim as optim
import torch.nn as nn
from torch.backends... | true | true |
f7fb5eef9a18ff14528216f7b9dd8caa4dd4afec | 901 | py | Python | tests/aws/s3_handler_test.py | project-hadron/discovery-connectors | 7bca00d6649eab5a21a17a98c49540ff781481fc | [
"BSD-3-Clause"
] | 1 | 2020-09-21T17:24:28.000Z | 2020-09-21T17:24:28.000Z | tests/aws/s3_handler_test.py | project-hadron/discovery-connectors | 7bca00d6649eab5a21a17a98c49540ff781481fc | [
"BSD-3-Clause"
] | null | null | null | tests/aws/s3_handler_test.py | project-hadron/discovery-connectors | 7bca00d6649eab5a21a17a98c49540ff781481fc | [
"BSD-3-Clause"
] | 1 | 2021-07-26T12:09:37.000Z | 2021-07-26T12:09:37.000Z | import unittest
import pandas as pd
import os
from pprint import pprint
from ds_connectors.handlers.s3_handlers import S3SourceHandler, S3PersistHandler
from aistac.handlers.abstract_handlers import ConnectorContract, HandlerFactory
class S3HandlerTest(unittest.TestCase):
def setUp(self):
pass
def ... | 30.033333 | 162 | 0.72364 | import unittest
import pandas as pd
import os
from pprint import pprint
from ds_connectors.handlers.s3_handlers import S3SourceHandler, S3PersistHandler
from aistac.handlers.abstract_handlers import ConnectorContract, HandlerFactory
class S3HandlerTest(unittest.TestCase):
def setUp(self):
pass
def ... | true | true |
f7fb60cd85373573cb0521c2d08a753d3e9e4f3f | 1,440 | py | Python | tests/sql_sync/fixtures/db_fixtures_helper.py | jzcruiser/doltpy | e7dfa97c66fa405e1a1ead04228084eaf3c4b0b9 | [
"Apache-2.0"
] | 31 | 2020-11-16T23:47:13.000Z | 2022-03-26T21:39:47.000Z | tests/sql_sync/fixtures/db_fixtures_helper.py | jzcruiser/doltpy | e7dfa97c66fa405e1a1ead04228084eaf3c4b0b9 | [
"Apache-2.0"
] | 61 | 2020-10-01T19:33:33.000Z | 2022-02-24T14:08:07.000Z | tests/sql_sync/fixtures/db_fixtures_helper.py | jzcruiser/doltpy | e7dfa97c66fa405e1a1ead04228084eaf3c4b0b9 | [
"Apache-2.0"
] | 8 | 2020-12-20T21:22:27.000Z | 2021-09-02T12:45:03.000Z | import pytest
import yaml
import sqlalchemy as sa
from retry import retry
@pytest.fixture(scope='session')
def docker_compose_file(tmpdir_factory, mysql_service_def, postgres_service_def, oracle_service_def):
compose_file = tmpdir_factory.mktemp('docker_files').join('docker-compose.yml')
compose_conf = {
... | 24 | 101 | 0.602083 | import pytest
import yaml
import sqlalchemy as sa
from retry import retry
@pytest.fixture(scope='session')
def docker_compose_file(tmpdir_factory, mysql_service_def, postgres_service_def, oracle_service_def):
compose_file = tmpdir_factory.mktemp('docker_files').join('docker-compose.yml')
compose_conf = {
... | true | true |
f7fb612b84fc3d55082918ad74acdaef0b71b081 | 8,122 | py | Python | network.py | KimMeen/STGCN | 5f67ccb68aae857b92a63bd9bfcbb79dd31f4c66 | [
"Apache-2.0"
] | 6 | 2020-11-09T21:19:45.000Z | 2022-03-09T08:46:58.000Z | network.py | KimMeen/STGCN | 5f67ccb68aae857b92a63bd9bfcbb79dd31f4c66 | [
"Apache-2.0"
] | 1 | 2020-11-09T21:57:27.000Z | 2020-11-24T15:54:00.000Z | network.py | KimMeen/STGCN | 5f67ccb68aae857b92a63bd9bfcbb79dd31f4c66 | [
"Apache-2.0"
] | 1 | 2021-11-25T20:55:30.000Z | 2021-11-25T20:55:30.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 20 18:30:55 2020
@author: Ming Jin
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
import dgl.function as fn
from dgl import DGLGraph
from layers import TemporalConvLayer, TemporalConvLayer_Residual, SpatialConvLayer, OutputLayer, Output... | 40.81407 | 136 | 0.548141 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
import dgl.function as fn
from dgl import DGLGraph
from layers import TemporalConvLayer, TemporalConvLayer_Residual, SpatialConvLayer, OutputLayer, OutputLayer_Simple
class STGCN(nn.Module):
def __init__(self, c, T, n, g, p, control_... | true | true |
f7fb6222648b99c20bc8837e865ea751c71412b9 | 10,053 | py | Python | contrib/spendfrom/spendfrom.py | metalheadani/cryptocare | b1e6d56a63b88d466668788e12d73038db4a490f | [
"MIT"
] | null | null | null | contrib/spendfrom/spendfrom.py | metalheadani/cryptocare | b1e6d56a63b88d466668788e12d73038db4a490f | [
"MIT"
] | null | null | null | contrib/spendfrom/spendfrom.py | metalheadani/cryptocare | b1e6d56a63b88d466668788e12d73038db4a490f | [
"MIT"
] | 1 | 2018-05-13T07:06:51.000Z | 2018-05-13T07:06:51.000Z | #!/usr/bin/env python
#
# Use the raw transactions API to spend bitcoins received on particular addresses,
# and send any change back to that same address.
#
# Example usage:
# spendfrom.py # Lists available funds
# spendfrom.py --from=ADDRESS --to=ADDRESS --amount=11.00
#
# Assumes it will talk to a bitcoind or Bit... | 37.511194 | 111 | 0.632249 |
mport *
import getpass
import math
import os
import os.path
import platform
import sys
import time
from jsonrpc import ServiceProxy, json
BASE_FEE=Decimal("0.001")
def check_json_precision():
n = Decimal("20000000.00000003")
satoshis = int(json.loads(json.dumps(float(n)))*1.0e8)
if satoshis != 20000... | true | true |
f7fb6235a443779b8812d9669051db1d0cab6400 | 425 | py | Python | item_h/server.py | augustocarrlos10/Flask_TecWeb | 5e99f20d61c42a9a1b621abe40c7410f8ac9890f | [
"MIT"
] | null | null | null | item_h/server.py | augustocarrlos10/Flask_TecWeb | 5e99f20d61c42a9a1b621abe40c7410f8ac9890f | [
"MIT"
] | null | null | null | item_h/server.py | augustocarrlos10/Flask_TecWeb | 5e99f20d61c42a9a1b621abe40c7410f8ac9890f | [
"MIT"
] | null | null | null | #h. Send data to Flask template (Jinja2)
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def student():
return render_template('student.html')
@app.route('/result', methods=['POST', 'GET'])
def result():
if request.method == 'POST':
result = request.form
... | 19.318182 | 58 | 0.675294 |
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def student():
return render_template('student.html')
@app.route('/result', methods=['POST', 'GET'])
def result():
if request.method == 'POST':
result = request.form
return render_template("result.html", re... | true | true |
f7fb6264dd17770dc115fcbb983a2d087d65a732 | 943 | py | Python | kubernetes/test/test_v1_daemon_set_spec.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 2 | 2020-06-21T08:03:18.000Z | 2020-06-21T09:53:29.000Z | kubernetes/test/test_v1_daemon_set_spec.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v1_daemon_set_spec.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 1 | 2020-06-21T08:03:17.000Z | 2020-06-21T08:03:17.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: release-1.16
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import... | 23.575 | 124 | 0.718982 |
from __future__ import absolute_import
import unittest
import kubernetes.client
from kubernetes.client.models.v1_daemon_set_spec import V1DaemonSetSpec
from kubernetes.client.rest import ApiException
class TestV1DaemonSetSpec(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
... | true | true |
f7fb62e1a057c12ecf35183f431577c91d45b6fa | 379 | py | Python | ptranking/ltr_adversarial/pointwise/point_discriminator.py | ryo59/ptranking | f06fd768de6dd5eaa3c931f191d907f56c147d09 | [
"MIT"
] | 236 | 2020-08-31T04:20:48.000Z | 2022-03-23T07:01:46.000Z | ptranking/ltr_adversarial/pointwise/point_discriminator.py | ryo59/ptranking | f06fd768de6dd5eaa3c931f191d907f56c147d09 | [
"MIT"
] | 7 | 2020-09-06T06:08:28.000Z | 2022-02-22T01:29:30.000Z | ptranking/ltr_adversarial/pointwise/point_discriminator.py | ryo59/ptranking | f06fd768de6dd5eaa3c931f191d907f56c147d09 | [
"MIT"
] | 30 | 2020-09-01T17:07:12.000Z | 2022-03-13T17:43:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from ptranking.ltr_adversarial.base.ad_player import AdversarialPlayer
class Point_Discriminator(AdversarialPlayer):
'''
A pointwise discriminator
'''
def __init__(self, sf_para_dict=None, gpu=False, device=None):
super(Point_Discriminator, self)._... | 31.583333 | 100 | 0.738786 |
from ptranking.ltr_adversarial.base.ad_player import AdversarialPlayer
class Point_Discriminator(AdversarialPlayer):
def __init__(self, sf_para_dict=None, gpu=False, device=None):
super(Point_Discriminator, self).__init__(sf_para_dict=sf_para_dict, gpu=gpu, device=device)
| true | true |
f7fb62e6b03b704ecd23f01a294cba3391bf54dc | 217 | py | Python | pylgrum/tui/__init__.py | jrheling/pylgrum | 1e95a56acdfdd865404da5dc94e47c7fe858095f | [
"MIT"
] | 2 | 2020-12-27T09:35:19.000Z | 2021-07-27T01:29:05.000Z | pylgrum/tui/__init__.py | jrheling/pylgrum | 1e95a56acdfdd865404da5dc94e47c7fe858095f | [
"MIT"
] | 4 | 2020-03-24T18:15:38.000Z | 2021-06-02T00:55:56.000Z | pylgrum/tui/__init__.py | jrheling/pylgrum | 1e95a56acdfdd865404da5dc94e47c7fe858095f | [
"MIT"
] | 2 | 2020-12-01T15:24:16.000Z | 2020-12-27T09:47:00.000Z | """The pylgrum.tui sub-package includes classes to drive text-mode play.
Classes all extend base classes from `pylgrum`:
TUIGame: simple console-based proof-of-concept
TUIPlayer: simple console-based PoC
""" | 31 | 72 | 0.75576 | true | true | |
f7fb635810a051d73e49bfa65dc1d3e5a0f75801 | 1,925 | py | Python | tests/xi_test.py | bbstats/xicor | 69d61d5cff5a0e3bc7a2d95660ed3e8e48ef0341 | [
"MIT"
] | 118 | 2021-02-26T22:50:52.000Z | 2022-02-22T08:05:03.000Z | tests/xi_test.py | bbstats/xicor | 69d61d5cff5a0e3bc7a2d95660ed3e8e48ef0341 | [
"MIT"
] | 8 | 2021-07-15T20:43:56.000Z | 2022-03-04T14:14:19.000Z | tests/xi_test.py | bbstats/xicor | 69d61d5cff5a0e3bc7a2d95660ed3e8e48ef0341 | [
"MIT"
] | 7 | 2021-12-26T01:56:04.000Z | 2022-03-30T00:15:35.000Z | import random
import numpy as np
import pytest
from xicor.xicor import Xi
"""
From Wikipedia:
Anscombe's quartet comprises four data sets that have nearly
identical simple descriptive statistics, yet have very different distributions
and appear very different when graphed. Each dataset consists of eleven
(x,y) points... | 31.048387 | 78 | 0.71013 | import random
import numpy as np
import pytest
from xicor.xicor import Xi
@pytest.fixture
def anscombes_xis(anscombes_quartet):
random.seed(2020)
np.random.seed(2020)
xis = {
"xi_1": Xi(anscombes_quartet["x_1"], anscombes_quartet["y_1"]),
"xi_2": Xi(anscombes_quartet["x_2"], anscombes_qu... | true | true |
f7fb6391176c926b55db3084ba67b16f08ad90a4 | 1,888 | py | Python | examples/dfp/v201711/user_service/get_user_by_email_address.py | christineyi3898/googleads-python-lib | cd707dc897b93cf1bbb19355f7424e7834e7fb55 | [
"Apache-2.0"
] | 1 | 2019-10-21T04:10:22.000Z | 2019-10-21T04:10:22.000Z | examples/dfp/v201711/user_service/get_user_by_email_address.py | christineyi3898/googleads-python-lib | cd707dc897b93cf1bbb19355f7424e7834e7fb55 | [
"Apache-2.0"
] | null | null | null | examples/dfp/v201711/user_service/get_user_by_email_address.py | christineyi3898/googleads-python-lib | cd707dc897b93cf1bbb19355f7424e7834e7fb55 | [
"Apache-2.0"
] | 1 | 2019-10-21T04:10:51.000Z | 2019-10-21T04:10:51.000Z | #!/usr/bin/env python
#
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 35.622642 | 78 | 0.692797 |
"""This example gets users by email.
"""
from googleads import dfp
EMAIL_ADDRESS = 'INSERT_EMAIL_ADDRESS_HERE'
def main(client, email_address):
user_service = client.GetService('UserService', version='v201711')
statement = (dfp.StatementBuilder()
.Where('email = :email')
... | false | true |
f7fb63bc6b75023e46abe2b059d9f5498c154b87 | 1,574 | py | Python | bin/azure/mgmt/datalake/analytics/catalog/models/data_lake_analytics_catalog_credential_create_parameters.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | null | null | null | bin/azure/mgmt/datalake/analytics/catalog/models/data_lake_analytics_catalog_credential_create_parameters.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | null | null | null | bin/azure/mgmt/datalake/analytics/catalog/models/data_lake_analytics_catalog_credential_create_parameters.py | zdmc23/bash-lambda-layer | e762df0189cfb894dab2d96bae1655b8857d5efb | [
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# C... | 34.977778 | 77 | 0.57878 |
from msrest.serialization import Model
class DataLakeAnalyticsCatalogCredentialCreateParameters(Model):
_validation = {
'password': {'required': True},
'uri': {'required': True},
'user_id': {'required': True},
}
_attribute_map = {
'password': {'key... | true | true |
f7fb644a9ddb62c0e7f97a8b3e6205ba23ae7c60 | 4,735 | py | Python | setup.py | tgodaA/cvprac | 52a44d8a098ee25761344421b99d09eeb4d19784 | [
"BSD-3-Clause"
] | null | null | null | setup.py | tgodaA/cvprac | 52a44d8a098ee25761344421b99d09eeb4d19784 | [
"BSD-3-Clause"
] | null | null | null | setup.py | tgodaA/cvprac | 52a44d8a098ee25761344421b99d09eeb4d19784 | [
"BSD-3-Clause"
] | null | null | null | #
# Copyright (c) 2016, Arista Networks, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of condit... | 37.579365 | 85 | 0.700528 |
import io
from os import path, walk
from glob import glob
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from cvprac import __version__, __author__
def find_modules(pkg):
modules = [pkg]
for dirname, dirnames, _ in walk(pkg):
... | true | true |
f7fb65013edae6f0f2dba656cd44875d668e673a | 2,596 | py | Python | docs/sphinxext/doxybridge/project.py | Oghma/speect | f618e8d651cb9ec4c90cc244af3e7aa993599f6d | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 5 | 2016-01-29T14:39:46.000Z | 2019-04-24T14:45:55.000Z | docs/sphinxext/doxybridge/project.py | Oghma/speect | f618e8d651cb9ec4c90cc244af3e7aa993599f6d | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | docs/sphinxext/doxybridge/project.py | Oghma/speect | f618e8d651cb9ec4c90cc244af3e7aa993599f6d | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 7 | 2015-09-17T14:45:05.000Z | 2020-03-30T13:19:29.000Z | """
doxybridge.project
~~~~~~~~~~~~~~~~~~
:copyright: Copyright (c) 2011 The Department of Arts and Culture, The Government
of the Republic of South Africa.
:copyright: Copyright (c) 2009, Michael Jones
:license: MIT, see LICENSE for details.
"""
import sys
class ProjectInfo(objec... | 23.387387 | 85 | 0.534669 | """
doxybridge.project
~~~~~~~~~~~~~~~~~~
:copyright: Copyright (c) 2011 The Department of Arts and Culture, The Government
of the Republic of South Africa.
:copyright: Copyright (c) 2009, Michael Jones
:license: MIT, see LICENSE for details.
"""
import sys
class ProjectInfo(objec... | false | true |
f7fb65981a8db33eed8c20487f5bc455e7a2483a | 3,993 | py | Python | testing/test_images.py | ZouaghiHoussem/MTCNN_68_TensorFlow | b41dbda229e24d6c79d28c22d910e17fca2618c3 | [
"MIT"
] | 50 | 2017-09-18T16:11:01.000Z | 2022-03-28T15:54:04.000Z | testing/test_images.py | ZouaghiHoussem/MTCNN_68_TensorFlow | b41dbda229e24d6c79d28c22d910e17fca2618c3 | [
"MIT"
] | 7 | 2017-09-18T16:11:36.000Z | 2018-05-05T01:39:24.000Z | testing/test_images.py | ZouaghiHoussem/MTCNN_68_TensorFlow | b41dbda229e24d6c79d28c22d910e17fca2618c3 | [
"MIT"
] | 22 | 2018-03-22T06:31:14.000Z | 2020-03-10T07:20:04.000Z | #coding:utf-8
import tensorflow as tf
import numpy as np
import os
import sys
rootPath = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), "../"))
sys.path.insert(0, rootPath)
from training.mtcnn_model import P_Net, R_Net, O_Net
from tools.loader import TestLoader
from detection.MtcnnDetector imp... | 46.976471 | 128 | 0.63436 |
import tensorflow as tf
import numpy as np
import os
import sys
rootPath = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), "../"))
sys.path.insert(0, rootPath)
from training.mtcnn_model import P_Net, R_Net, O_Net
from tools.loader import TestLoader
from detection.MtcnnDetector import MtcnnDete... | true | true |
f7fb6666acec27c3471ebbb8630a2e964ae53c7d | 1,480 | py | Python | experiments/rpi/brickpi/LEGO-Motor_Test.py | willingc/pingo | 0890bf5ed763e9061320093fc3fb5f7543c5cc2c | [
"MIT"
] | 13 | 2016-04-12T07:38:02.000Z | 2021-12-24T16:53:53.000Z | experiments/rpi/brickpi/LEGO-Motor_Test.py | willingc/pingo | 0890bf5ed763e9061320093fc3fb5f7543c5cc2c | [
"MIT"
] | 1 | 2021-03-20T05:17:03.000Z | 2021-03-20T05:17:03.000Z | experiments/rpi/brickpi/LEGO-Motor_Test.py | willingc/pingo | 0890bf5ed763e9061320093fc3fb5f7543c5cc2c | [
"MIT"
] | 9 | 2016-04-29T02:21:37.000Z | 2022-03-17T23:35:13.000Z | # Jaikrishna
# Initial Date: June 24, 2013
# Last Updated: June 24, 2013
#
# These files have been made available online through a Creative Commons Attribution-ShareAlike 3.0 license.
# (http://creativecommons.org/licenses/by-sa/3.0/)
#
# http://www.dexterindustries.com/
# This code is for testing the BrickPi with a L... | 43.529412 | 109 | 0.685811 |
from BrickPi import *
BrickPiSetup()
BrickPi.MotorEnable[PORT_A] = 1
BrickPi.MotorEnable[PORT_B] = 1
BrickPiSetupSensors()
while True:
print "Running Forward"
BrickPi.MotorSpeed[PORT_A] = 200
BrickPi.MotorSpeed[PORT_B] = 200
ot = time.time()
while(time.time() - ot < 3): ... | false | true |
f7fb669f111e8b6461b2fc5edca54c4bede91841 | 39,828 | py | Python | sympy/functions/elementary/exponential.py | joha2/sympy | 5c54e5b78bc907569f56996601603b7b574dfc73 | [
"BSD-3-Clause"
] | null | null | null | sympy/functions/elementary/exponential.py | joha2/sympy | 5c54e5b78bc907569f56996601603b7b574dfc73 | [
"BSD-3-Clause"
] | 10 | 2021-07-21T20:56:57.000Z | 2021-07-31T16:35:28.000Z | sympy/functions/elementary/exponential.py | joha2/sympy | 5c54e5b78bc907569f56996601603b7b574dfc73 | [
"BSD-3-Clause"
] | null | null | null | from sympy.core import sympify
from sympy.core.add import Add
from sympy.core.cache import cacheit
from sympy.core.function import (
Function, ArgumentIndexError, _coeff_isneg,
expand_mul, FunctionClass, PoleError)
from sympy.core.logic import fuzzy_and, fuzzy_not, fuzzy_or
from sympy.core.mul import Mul
from s... | 33.052282 | 91 | 0.512353 | from sympy.core import sympify
from sympy.core.add import Add
from sympy.core.cache import cacheit
from sympy.core.function import (
Function, ArgumentIndexError, _coeff_isneg,
expand_mul, FunctionClass, PoleError)
from sympy.core.logic import fuzzy_and, fuzzy_not, fuzzy_or
from sympy.core.mul import Mul
from s... | true | true |
f7fb675b845ff6b54bbecfb3a0f01d376831a594 | 8,820 | py | Python | lib/markdown/extensions/toc.py | ParadiseDS/sublimetext-markdown-slideshow | b2bb2600e373341ccb9f8a0ba9ad2b799ab5b380 | [
"MIT"
] | 50 | 2015-01-13T04:57:49.000Z | 2021-04-10T21:51:52.000Z | lib/markdown/extensions/toc.py | ParadiseDS/sublimetext-markdown-slideshow | b2bb2600e373341ccb9f8a0ba9ad2b799ab5b380 | [
"MIT"
] | 6 | 2015-01-03T04:00:39.000Z | 2018-03-03T08:40:05.000Z | lib/markdown/extensions/toc.py | ParadiseDS/sublimetext-markdown-slideshow | b2bb2600e373341ccb9f8a0ba9ad2b799ab5b380 | [
"MIT"
] | 11 | 2015-01-17T17:58:36.000Z | 2019-12-15T17:34:08.000Z | """
Table of Contents Extension for Python-Markdown
===============================================
See <https://pythonhosted.org/Markdown/extensions/toc.html>
for documentation.
Oringinal code Copyright 2008 [Jack Miller](http://codezen.org)
All changes Copyright 2008-2014 The Python Markdown Project
License: [BS... | 36.147541 | 84 | 0.538435 |
from __future__ import absolute_import
from __future__ import unicode_literals
from . import Extension
from ..treeprocessors import Treeprocessor
from ..util import etree, parseBoolValue, AMP_SUBSTITUTE
from .headerid import slugify, unique, itertext, stashedHTML2text
import re
def order_toc_list(toc_list):
ord... | true | true |
f7fb686890c8970bf5120e2e7584066e2b14baa8 | 40,835 | py | Python | sdk/python/pulumi_aws/elasticloadbalancingv2/listener.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-11-10T16:33:40.000Z | 2021-11-10T16:33:40.000Z | sdk/python/pulumi_aws/elasticloadbalancingv2/listener.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/elasticloadbalancingv2/listener.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 44.628415 | 258 | 0.625101 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['ListenerArgs', 'Listener']
@pulumi.input_type
class ListenerArgs:
def __init__(__self__, *,
... | true | true |
f7fb6881d3cac1c6a4a8dcce6c1e88ce32a634d8 | 4,446 | py | Python | graph2vec/node2vec.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | graph2vec/node2vec.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | graph2vec/node2vec.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | import numpy as np
import networkx as nx
import random
class Graph():
def __init__(self, nx_G, is_directed, p, q):
self.G = nx_G.to_directed() if is_directed else nx_G.to_undirected()
self.is_directed = is_directed
self.p = p
self.q = q
def node2vec_walk(self, walk_length, sta... | 30.040541 | 123 | 0.55758 | import numpy as np
import networkx as nx
import random
class Graph():
def __init__(self, nx_G, is_directed, p, q):
self.G = nx_G.to_directed() if is_directed else nx_G.to_undirected()
self.is_directed = is_directed
self.p = p
self.q = q
def node2vec_walk(self, walk_length, sta... | true | true |
f7fb68b586c7a9eb8ea8388ba8aa8e54f6c9bbb4 | 4,099 | py | Python | nipyapi/nifi/models/search_result_group_dto.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 199 | 2017-08-24T12:19:41.000Z | 2022-03-20T14:50:17.000Z | nipyapi/nifi/models/search_result_group_dto.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 275 | 2017-08-28T21:21:49.000Z | 2022-03-29T17:57:26.000Z | nipyapi/nifi/models/search_result_group_dto.py | Jimvin/nipyapi | 826beac376d4321bd2d69491f09086474c7e7bfb | [
"Apache-2.0"
] | 73 | 2017-09-07T10:13:56.000Z | 2022-02-28T10:37:21.000Z | # coding: utf-8
"""
NiFi Rest API
The Rest API provides programmatic access to command and control a NiFi instance in real time. Start and stop processors, monitor queues, query provenance data, and more. Each endpoint below includes a description, ... | 26.445161 | 478 | 0.529641 |
from pprint import pformat
from six import iteritems
import re
class SearchResultGroupDTO(object):
swagger_types = {
'id': 'str',
'name': 'str'
}
attribute_map = {
'id': 'id',
'name': 'name'
}
def __init__(self, id=None, name=None):
self._id = None
... | true | true |
f7fb6a245df1eeb24b8b473047d19a2233470b06 | 56 | py | Python | cognite/client/_version.py | sakshi87/cognite-sdk-python | eb3d569fd058dfd8e3c0c29dee2a635deabad1ac | [
"Apache-2.0"
] | null | null | null | cognite/client/_version.py | sakshi87/cognite-sdk-python | eb3d569fd058dfd8e3c0c29dee2a635deabad1ac | [
"Apache-2.0"
] | null | null | null | cognite/client/_version.py | sakshi87/cognite-sdk-python | eb3d569fd058dfd8e3c0c29dee2a635deabad1ac | [
"Apache-2.0"
] | null | null | null | __version__ = "2.20.0"
__api_subversion__ = "V20210423"
| 18.666667 | 32 | 0.75 | __version__ = "2.20.0"
__api_subversion__ = "V20210423"
| true | true |
f7fb6b2adc973bed9154169011f89e3b9dc2cd72 | 685 | py | Python | app/core/migrations/0003_ingredient.py | sunnyrpandya/recipe-app-api | 92fbefb9bd80e967cd1111ddc25c3c8da5980c39 | [
"MIT"
] | null | null | null | app/core/migrations/0003_ingredient.py | sunnyrpandya/recipe-app-api | 92fbefb9bd80e967cd1111ddc25c3c8da5980c39 | [
"MIT"
] | null | null | null | app/core/migrations/0003_ingredient.py | sunnyrpandya/recipe-app-api | 92fbefb9bd80e967cd1111ddc25c3c8da5980c39 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-02-18 05:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0002_tag'),
]
operations = [
migrations.CreateModel(
n... | 28.541667 | 118 | 0.617518 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0002_tag'),
]
operations = [
migrations.CreateModel(
name='Ingredient',
fields=[
... | true | true |
f7fb6bf2ecefa59a5d8472409b6048444bee173f | 22,395 | py | Python | cogdl/models/nn/pyg_supergat.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | cogdl/models/nn/pyg_supergat.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | cogdl/models/nn/pyg_supergat.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | import random
import numpy as np
import torch
import torch.nn as nn
from torch.nn import Parameter
import torch.nn.functional as F
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.utils import (
remove_self_loops,
add_self_loops,
softmax,
dropout_adj,
is_undirected,
accu... | 38.347603 | 119 | 0.602858 | import random
import numpy as np
import torch
import torch.nn as nn
from torch.nn import Parameter
import torch.nn.functional as F
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.utils import (
remove_self_loops,
add_self_loops,
softmax,
dropout_adj,
is_undirected,
accu... | true | true |
f7fb6d12d3d76297ceb77432612fedf234741b15 | 2,581 | py | Python | setup.py | mrdavidlaing/impyla | dfe9d00ca7eb9f4297075e1251397cdeb61e8298 | [
"Apache-2.0"
] | null | null | null | setup.py | mrdavidlaing/impyla | dfe9d00ca7eb9f4297075e1251397cdeb61e8298 | [
"Apache-2.0"
] | null | null | null | setup.py | mrdavidlaing/impyla | dfe9d00ca7eb9f4297075e1251397cdeb61e8298 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Cloudera Inc.
#
# 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... | 35.356164 | 77 | 0.647036 |
from __future__ import absolute_import
import ez_setup
ez_setup.use_setuptools()
from setuptools import setup, find_packages
def readme():
with open('README.md', 'r') as ip:
return ip.read()
import versioneer
setup(
name='impyla',
version=versioneer.get_version(),
cmdclass=... | true | true |
f7fb6f3210080025fcb3a466bb138b1fc06178ac | 2,966 | py | Python | audio/receiver.py | qaute/zeitgeist | 6d62294571e32acc12fbb67f98adf923d5a1533b | [
"CC0-1.0"
] | null | null | null | audio/receiver.py | qaute/zeitgeist | 6d62294571e32acc12fbb67f98adf923d5a1533b | [
"CC0-1.0"
] | null | null | null | audio/receiver.py | qaute/zeitgeist | 6d62294571e32acc12fbb67f98adf923d5a1533b | [
"CC0-1.0"
] | 1 | 2018-10-30T16:51:41.000Z | 2018-10-30T16:51:41.000Z | #!/usr/bin/python3
"""
receiver.py
This file tracks an acoustic FSK signal by the phase difference between two microphones.
"""
import time
import numpy as np
import matplotlib.pyplot as plt
import sounddevice as sd
import scipy.signal as sp
# define waveform parameters
fs = 44100 # (Hz) sample rate
fm = 256 # (sa... | 27.719626 | 107 | 0.610249 |
import time
import numpy as np
import matplotlib.pyplot as plt
import sounddevice as sd
import scipy.signal as sp
fs = 44100
fm = 256
f1 = 55
f2 = 57
times = np.linspace(0, fm/fs, fm, False)
carrier1 = np.sin(2*np.pi*fs*2/fm*f1*times)
carrier2 = np.sin(2*np.pi*fs*2/fm*f2*times)
blank = times*0
mask1 =... | true | true |
f7fb6f40d200a252e6e99bd61725342ed175df11 | 769 | py | Python | examples/Graph_Neural_Networks/PyTorch/TAGCN.py | TobiasSchmidtDE/GraphGallery | e627e4f454e0ce3813171305a524f5190a6e6f45 | [
"MIT"
] | null | null | null | examples/Graph_Neural_Networks/PyTorch/TAGCN.py | TobiasSchmidtDE/GraphGallery | e627e4f454e0ce3813171305a524f5190a6e6f45 | [
"MIT"
] | null | null | null | examples/Graph_Neural_Networks/PyTorch/TAGCN.py | TobiasSchmidtDE/GraphGallery | e627e4f454e0ce3813171305a524f5190a6e6f45 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import torch
import graphgallery
print("GraphGallery version: ", graphgallery.__version__)
print("Torch version: ", torch.__version__)
'''
Load Datasets
- cora/citeseer/pubmed
'''
from graphgallery.datasets import Planetoid
data = Planetoid('cora', root="~/GraphData/datasets/", ... | 29.576923 | 99 | 0.768531 |
import torch
import graphgallery
print("GraphGallery version: ", graphgallery.__version__)
print("Torch version: ", torch.__version__)
from graphgallery.datasets import Planetoid
data = Planetoid('cora', root="~/GraphData/datasets/", verbose=False)
graph = data.graph
splits = data.split_nodes()
graphgallery.set_b... | true | true |
f7fb702baffcabc23fabacf84e23ee9f3bb01304 | 2,650 | py | Python | sarpy/io/general/nitf_elements/tres/unclass/RSMPCA.py | pressler-vsc/sarpy | fa6c951c42b9a7d9df2edfa53c771494cb0246fb | [
"MIT"
] | 1 | 2021-02-04T08:44:18.000Z | 2021-02-04T08:44:18.000Z | sarpy/io/general/nitf_elements/tres/unclass/RSMPCA.py | pressler-vsc/sarpy | fa6c951c42b9a7d9df2edfa53c771494cb0246fb | [
"MIT"
] | null | null | null | sarpy/io/general/nitf_elements/tres/unclass/RSMPCA.py | pressler-vsc/sarpy | fa6c951c42b9a7d9df2edfa53c771494cb0246fb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from ..tre_elements import TREExtension, TREElement
__classification__ = "UNCLASSIFIED"
__author__ = "Thomas McCullough"
class RNT(TREElement):
def __init__(self, value):
super(RNT, self).__init__()
self.add_field('RNPCF', 's', 21, value)
class RDT(TREElement):
def ... | 34.415584 | 54 | 0.581887 |
from ..tre_elements import TREExtension, TREElement
__classification__ = "UNCLASSIFIED"
__author__ = "Thomas McCullough"
class RNT(TREElement):
def __init__(self, value):
super(RNT, self).__init__()
self.add_field('RNPCF', 's', 21, value)
class RDT(TREElement):
def __init__(self, value):
... | true | true |
f7fb7080753277206483bd820d16b9e0e9a0b5fb | 24,218 | py | Python | _v5__sub_browser.py | konsan1101/pyRiKi1 | 687061ce09889ec91c1c3c11df62f4cfcb3d9613 | [
"MIT"
] | null | null | null | _v5__sub_browser.py | konsan1101/pyRiKi1 | 687061ce09889ec91c1c3c11df62f4cfcb3d9613 | [
"MIT"
] | 1 | 2020-11-06T04:36:33.000Z | 2020-11-06T04:36:33.000Z | _v5__sub_browser.py | konsan1101/pyRiKi1 | 687061ce09889ec91c1c3c11df62f4cfcb3d9613 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# COPYRIGHT (C) 2014-2020 Mitsuo KONDOU.
# This software is released under the MIT License.
# https://github.com/konsan1101
# Thank you for keeping the rules.
import sys
import os
import time
import datetime
import codecs
import glob
import queue
import threading
impor... | 31.249032 | 130 | 0.547857 |
import sys
import os
import time
import datetime
import codecs
import glob
import queue
import threading
import subprocess
from selenium.webdriver import Firefox, FirefoxOptions
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from sele... | true | true |
f7fb722fcc1162385978ef79710fcda0248259a6 | 190,658 | py | Python | env/lib/python3.9/site-packages/multiprocess/tests/__init__.py | wphoong/flappy_doge | c778f0e4820c1ed46e50a56f989d57df4f386736 | [
"MIT"
] | null | null | null | env/lib/python3.9/site-packages/multiprocess/tests/__init__.py | wphoong/flappy_doge | c778f0e4820c1ed46e50a56f989d57df4f386736 | [
"MIT"
] | null | null | null | env/lib/python3.9/site-packages/multiprocess/tests/__init__.py | wphoong/flappy_doge | c778f0e4820c1ed46e50a56f989d57df4f386736 | [
"MIT"
] | null | null | null | #
# Unit tests for the multiprocessing package
#
import unittest
import unittest.mock
import queue as pyqueue
import time
import io
import itertools
import sys
import os
import gc
import errno
import signal
import array
import socket
import random
import logging
import subprocess
import struct
import operator
import p... | 32.91179 | 87 | 0.58682 |
import unittest
import unittest.mock
import queue as pyqueue
import time
import io
import itertools
import sys
import os
import gc
import errno
import signal
import array
import socket
import random
import logging
import subprocess
import struct
import operator
import pickle
import weakref
import warnings
import t... | true | true |
f7fb7232f1f0c5acce0ddc7da84dcf9e59f6cbb5 | 663 | py | Python | vispy/util/__init__.py | lcampagn/vispy | 28c25d6904d697cde9bb4c37909bc3f934621134 | [
"BSD-3-Clause"
] | 1 | 2015-12-03T02:03:50.000Z | 2015-12-03T02:03:50.000Z | vispy/util/__init__.py | lcampagn/vispy | 28c25d6904d697cde9bb4c37909bc3f934621134 | [
"BSD-3-Clause"
] | 19 | 2015-06-16T14:33:22.000Z | 2015-07-27T21:18:15.000Z | vispy/util/__init__.py | astrofrog/vispy | fa5e2eab9bb3d956f87ae68a56e342913e58a305 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
""" Utilities for Vispy. A collection of modules that are used in
one or more Vispy sub-packages.
"""
from .logs import logger, set_log_level, use_log_le... | 39 | 77 | 0.714932 |
from .logs import logger, set_log_level, use_log_level
from .config import (config, sys_info, save_config, get_config_keys,
set_data_dir, _TempDir)
from .fetching import load_data_file
from . import fonts
from . import transforms
from .wrappers import use, run_subprocess
fro... | true | true |
f7fb728e2b24c9183d89d5ba8c0bbb315e2baa40 | 597 | py | Python | ingestion/src/metadata/generated/data/tags/personalDataTags.py | klimber/OpenMetadata | 1db18a50cfde00825a04b8a2c63c94fa6d5df615 | [
"Apache-2.0"
] | null | null | null | ingestion/src/metadata/generated/data/tags/personalDataTags.py | klimber/OpenMetadata | 1db18a50cfde00825a04b8a2c63c94fa6d5df615 | [
"Apache-2.0"
] | null | null | null | ingestion/src/metadata/generated/data/tags/personalDataTags.py | klimber/OpenMetadata | 1db18a50cfde00825a04b8a2c63c94fa6d5df615 | [
"Apache-2.0"
] | null | null | null | # generated by datamodel-codegen:
# filename: data/tags/personalDataTags.json
# timestamp: 2021-10-12T00:34:28+00:00
from __future__ import annotations
from typing import Any
from pydantic import BaseModel, Field
class Model(BaseModel):
__root__: Any = Field(
...,
description='Tags related... | 35.117647 | 303 | 0.730318 |
from __future__ import annotations
from typing import Any
from pydantic import BaseModel, Field
class Model(BaseModel):
__root__: Any = Field(
...,
description='Tags related classifying **Personal data** as defined by **GDPR.**<br/><br/>_Note to Legal - This tag category is provided as a sta... | true | true |
f7fb72b31c3deac4de138d13a1013e5246ad7577 | 2,689 | py | Python | server_info_collector/migrations/0002_auto__add_field_networkelement_created.py | weijia/server-info-collector | a4ab5423de7d59859fa83762f8ce7ff2d6c50620 | [
"BSD-3-Clause"
] | null | null | null | server_info_collector/migrations/0002_auto__add_field_networkelement_created.py | weijia/server-info-collector | a4ab5423de7d59859fa83762f8ce7ff2d6c50620 | [
"BSD-3-Clause"
] | null | null | null | server_info_collector/migrations/0002_auto__add_field_networkelement_created.py | weijia/server-info-collector | a4ab5423de7d59859fa83762f8ce7ff2d6c50620 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'NetworkElement.created'
db.add_column('server_info_collec... | 61.113636 | 205 | 0.59762 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
db.add_column('server_info_collector_networkelement', 'created',
self.gf(... | true | true |
f7fb74612c44e33866a339ff3d38323a157f4e43 | 3,459 | py | Python | tests.py | dag/flask-attest | 0ffe92424c289d6a360004dd1ea943458c6d49c5 | [
"BSD-2-Clause"
] | 1 | 2015-12-29T12:14:05.000Z | 2015-12-29T12:14:05.000Z | tests.py | dag/flask-attest | 0ffe92424c289d6a360004dd1ea943458c6d49c5 | [
"BSD-2-Clause"
] | 1 | 2016-10-31T15:59:13.000Z | 2016-10-31T15:59:13.000Z | tests.py | dag/flask-attest | 0ffe92424c289d6a360004dd1ea943458c6d49c5 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import with_statement
from flask import (Module, request, redirect, Flask, Response, jsonify,
render_template_string)
from flaskext.attest import request_context, get, post, put, delete
from flaskext.genshi import Genshi, generate_template
from attest import Tests, raises, assert_hook... | 26.007519 | 76 | 0.64961 | from __future__ import with_statement
from flask import (Module, request, redirect, Flask, Response, jsonify,
render_template_string)
from flaskext.attest import request_context, get, post, put, delete
from flaskext.genshi import Genshi, generate_template
from attest import Tests, raises, assert_hook... | true | true |
f7fb755fd03f864132f593874b9d6029346f742b | 4,140 | py | Python | QDE/offline/offline_test_run.py | oxquantum-repo/drl_for_quantum_measurement | a02a8f3a7c5b40458f440a63355932409c66921c | [
"MIT"
] | 5 | 2021-05-18T01:07:04.000Z | 2022-01-29T13:31:18.000Z | QDE/offline/offline_test_run.py | oxquantum-repo/drl_for_quantum_measurement | a02a8f3a7c5b40458f440a63355932409c66921c | [
"MIT"
] | null | null | null | QDE/offline/offline_test_run.py | oxquantum-repo/drl_for_quantum_measurement | a02a8f3a7c5b40458f440a63355932409c66921c | [
"MIT"
] | 1 | 2021-05-18T01:07:20.000Z | 2021-05-18T01:07:20.000Z | import sys
import math
sys.path.append('../')
import mock_pygor
sys.path.append('../')
sys.path.append('../../')
sys.path.append('../environments')
sys.path.append('../utilities')
sys.path.append('../testing_code')
sys.path.append('../data')
from offline_test_play_episode import offline_test_play_episode
from drl_m... | 28.356164 | 217 | 0.681159 | import sys
import math
sys.path.append('../')
import mock_pygor
sys.path.append('../')
sys.path.append('../../')
sys.path.append('../environments')
sys.path.append('../utilities')
sys.path.append('../testing_code')
sys.path.append('../data')
from offline_test_play_episode import offline_test_play_episode
from drl_m... | true | true |
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