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1c43bcddd351165d681ed76a72205a2d674eab7f | 4,026 | py | Python | cdtcommon/calculator.py | Just-Jojo/mcoc-v3 | 41c69960c8aff2dbbfd5d11ecc17e7af73e1e305 | [
"MIT"
] | 3 | 2020-08-09T03:03:20.000Z | 2020-12-13T19:01:07.000Z | cdtcommon/calculator.py | Just-Jojo/mcoc-v3 | 41c69960c8aff2dbbfd5d11ecc17e7af73e1e305 | [
"MIT"
] | 19 | 2020-07-24T00:37:51.000Z | 2021-06-18T17:22:14.000Z | cdtcommon/calculator.py | Just-Jojo/mcoc-v3 | 41c69960c8aff2dbbfd5d11ecc17e7af73e1e305 | [
"MIT"
] | 7 | 2020-06-30T20:09:08.000Z | 2021-02-20T03:48:09.000Z | import math
import re
import discord
from redbot.core import checks, commands
from redbot.core.config import Config
from .cdtcommon import CdtCommon
from .cdtembed import Embed
class Calculator(commands.Cog):
"""Calculator"""
def __init__(self, bot):
self.bot = bot
self.thum... | 38.711538 | 118 | 0.544709 | import math
import re
import discord
from redbot.core import checks, commands
from redbot.core.config import Config
from .cdtcommon import CdtCommon
from .cdtembed import Embed
class Calculator(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.thumbnail = "https://www.e... | true | true |
1c43bd3bebe28921f0af5e1ac829a25b07e7fc62 | 10,912 | py | Python | qiskit/pulse/pulse_lib/samplers/decorators.py | lerongil/qiskit-terra | a25af2a2378bc3d4f5ec73b948d048d1b707454c | [
"Apache-2.0"
] | 3 | 2019-05-19T17:39:38.000Z | 2020-01-28T19:59:18.000Z | qiskit/pulse/pulse_lib/samplers/decorators.py | lerongil/qiskit-terra | a25af2a2378bc3d4f5ec73b948d048d1b707454c | [
"Apache-2.0"
] | 4 | 2019-05-13T15:28:46.000Z | 2019-12-19T20:47:02.000Z | qiskit/pulse/pulse_lib/samplers/decorators.py | lerongil/qiskit-terra | a25af2a2378bc3d4f5ec73b948d048d1b707454c | [
"Apache-2.0"
] | 1 | 2021-07-07T16:55:41.000Z | 2021-07-07T16:55:41.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# 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... | 38.971429 | 100 | 0.701155 |
import functools
from typing import Callable
import textwrap
import pydoc
import numpy as np
import qiskit.pulse.commands as commands
from . import strategies
def _update_annotations(discretized_pulse: Callable) -> Callable:
undecorated_annotations = list(discretized_pulse.__annotations__.items())
deco... | true | true |
1c43be1b50051126e52c822f3f6ff0e79cfbfacb | 3,517 | py | Python | simplex_method.py | dvapan/simplex_method | dcc930b092dffa2e55162ea035f43d85572c8568 | [
"MIT"
] | null | null | null | simplex_method.py | dvapan/simplex_method | dcc930b092dffa2e55162ea035f43d85572c8568 | [
"MIT"
] | null | null | null | simplex_method.py | dvapan/simplex_method | dcc930b092dffa2e55162ea035f43d85572c8568 | [
"MIT"
] | null | null | null | # coding=utf-8
__author__ = 'dvapan'
import scipy as sc
import scipy.linalg as lin
import pprint
#
# c = sc.matrix([2.0, 3.0]).transpose()
# A = sc.matrix([[-10.0, 5.0], [6.0, 20.0], [8.0, 15.0]])
# b = sc.matrix([600.0, 600.0, 600.0]).transpose()
# I = [2, 3, 4]
def transform_to_classic(A,b,c):
count_vars = A.... | 29.308333 | 91 | 0.562411 | __author__ = 'dvapan'
import scipy as sc
import scipy.linalg as lin
import pprint
def transform_to_classic(A,b,c):
count_vars = A.shape[1]
addition_vars = A.shape[0]
count_all_vars = count_vars + addition_vars
_A = sc.resize(A, (A.shape[0], count_all_vars))
_A[:, :count_vars] = A
_A[:, count... | true | true |
1c43beac38a9be1ebc96e5f4db2e17a1f69ebb88 | 24,223 | py | Python | python/process_content.py | tdjames1/TMA-data-extraction | 03af0ef3b61df5486f6f061e4e3b62de2e238476 | [
"BSD-3-Clause"
] | null | null | null | python/process_content.py | tdjames1/TMA-data-extraction | 03af0ef3b61df5486f6f061e4e3b62de2e238476 | [
"BSD-3-Clause"
] | 5 | 2021-01-05T12:14:53.000Z | 2021-08-23T09:18:11.000Z | python/process_content.py | tdjames1/TMA-data-extraction | 03af0ef3b61df5486f6f061e4e3b62de2e238476 | [
"BSD-3-Clause"
] | 1 | 2021-02-18T14:59:42.000Z | 2021-02-18T14:59:42.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""tma_process_content
.. module:: TMA-data-extraction
:synopis: Scripts and functions for extracting weather alert data
from Tanzanian Meteorological Authority "Five days Severe weather
impact-based forecasts" PDFs.
.. moduleauthor: Tamora D. James <t.d.james1@... | 35.054993 | 131 | 0.509103 |
import sys
import argparse
import os
import numpy as np
import numpy.linalg as LA
import bezier
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.path import Path
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import cartopy.io.shapereader as shpreader
import skima... | true | true |
1c43c028cb0bd6fa2468ee77c1143f9fda2d934e | 66,798 | py | Python | nipyapi/registry/apis/bundles_api.py | iMajna/nipyapi | 5480af8fe8c6b470249837835cb1a067abb6678e | [
"Apache-2.0"
] | null | null | null | nipyapi/registry/apis/bundles_api.py | iMajna/nipyapi | 5480af8fe8c6b470249837835cb1a067abb6678e | [
"Apache-2.0"
] | 1 | 2020-03-16T10:02:46.000Z | 2020-03-16T13:37:42.000Z | nipyapi/registry/apis/bundles_api.py | iMajna/nipyapi | 5480af8fe8c6b470249837835cb1a067abb6678e | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Apache NiFi Registry REST API
The REST API provides an interface to a registry with operations for saving, versioning, reading NiFi flows and components.
OpenAPI spec version: 0.7.0
Contact: dev@nifi.apache.org
Generated by: https://github.com/swagger-api/swagger-codegen.git
"... | 47.918221 | 357 | 0.600243 |
from __future__ import absolute_import
import sys
import os
import re
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class BundlesApi(object):
def __init__(self, api_client=None):
config = Configuration()
if api_client:
sel... | true | true |
1c43c04f2267901e6a6439f5190e528fae312122 | 23,661 | py | Python | vt/client.py | kesh-stripe/vt-py | 00ec3743cfc8649c84d3aabc45986177f468bd71 | [
"Apache-2.0"
] | null | null | null | vt/client.py | kesh-stripe/vt-py | 00ec3743cfc8649c84d3aabc45986177f468bd71 | [
"Apache-2.0"
] | null | null | null | vt/client.py | kesh-stripe/vt-py | 00ec3743cfc8649c84d3aabc45986177f468bd71 | [
"Apache-2.0"
] | null | null | null | # Copyright © 2019 The vt-py authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 37.261417 | 91 | 0.711677 |
import aiohttp
import asyncio
import base64
import json
from .error import APIError
from .feed import Feed
from .object import Object
from .iterator import Iterator
from .version import __version__
__all__ = [
'Client',
'ClientResponse',
'url_id']
_API_HOST = 'https://www.virustotal.com'
# prefix in ... | true | true |
1c43c0fdce2f9815a2113123cb5ee97352dd4dee | 1,064 | py | Python | leaderboard/models.py | Fredrik3B/kultspill_backend | 8aad6431f36dad46ef06f4da40f2bc63c6185dd2 | [
"MIT"
] | 1 | 2021-03-11T13:24:55.000Z | 2021-03-11T13:24:55.000Z | leaderboard/models.py | Fredrik3B/kultspill_backend | 8aad6431f36dad46ef06f4da40f2bc63c6185dd2 | [
"MIT"
] | null | null | null | leaderboard/models.py | Fredrik3B/kultspill_backend | 8aad6431f36dad46ef06f4da40f2bc63c6185dd2 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from django.db.models.fields import PositiveIntegerField
# Create your models here.
class Player(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
playername = models.CharField(max_length=30)
highscore_arcade ... | 31.294118 | 76 | 0.737782 | from django.db import models
from django.contrib.auth.models import User
from django.db.models.fields import PositiveIntegerField
class Player(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
playername = models.CharField(max_length=30)
highscore_arcade = models.PositiveIntegerFie... | true | true |
1c43c29935b123c3b372d55287a8e6ceb0dc1d18 | 1,596 | py | Python | visitor_counter/utils/test_db.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | visitor_counter/utils/test_db.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | visitor_counter/utils/test_db.py | jcromerohdz/FlaskDev | 29539259cba3a0e18c205fb439ee916fb12e5318 | [
"MIT"
] | null | null | null | import os
from flask_sqlalchemy import sqlalchemy
class TestDB:
def __init__(self):
self.db_name = os.environ['DATABASE_NAME'] + '_test'
self.db_host = os.environ['DB_HOST']
self.db_root_password = os.environ['POSTGRES_ROOT_PASSWORD']
if self.db_root_password:
self.db_us... | 38.926829 | 154 | 0.624687 | import os
from flask_sqlalchemy import sqlalchemy
class TestDB:
def __init__(self):
self.db_name = os.environ['DATABASE_NAME'] + '_test'
self.db_host = os.environ['DB_HOST']
self.db_root_password = os.environ['POSTGRES_ROOT_PASSWORD']
if self.db_root_password:
self.db_us... | true | true |
1c43c2a3742fc0d3c893cf6ca0a6a729e50cb27d | 1,672 | py | Python | src/programy/processors/pre/stemming.py | NeolithEra/program-y | 8c2396611f30c8095e98ff02988223a641c1a3be | [
"MIT"
] | null | null | null | src/programy/processors/pre/stemming.py | NeolithEra/program-y | 8c2396611f30c8095e98ff02988223a641c1a3be | [
"MIT"
] | null | null | null | src/programy/processors/pre/stemming.py | NeolithEra/program-y | 8c2396611f30c8095e98ff02988223a641c1a3be | [
"MIT"
] | null | null | null | """
Copyright (c) 2016-2019 Keith Sterling http://www.keithsterling.com
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, m... | 47.771429 | 120 | 0.785885 |
from programy.utils.logging.ylogger import YLogger
from programy.processors.processing import PreProcessor
from programy.nlp.stemming import Stemmer
class StemmingPreProcessor(PreProcessor):
def __init__(self):
PreProcessor.__init__(self)
def process(self, context, word_string):
YLogger.d... | true | true |
1c43c2a3c540a69b7c7955a52ca5fcfac255bb4a | 488 | py | Python | DCNN-Pytorch/shape_testing.py | linklab-uva/deepracing | fc25c47658277df029e7399d295d97a75fe85216 | [
"Apache-2.0"
] | 11 | 2020-06-29T15:21:37.000Z | 2021-04-12T00:42:26.000Z | DCNN-Pytorch/shape_testing.py | linklab-uva/deepracing | fc25c47658277df029e7399d295d97a75fe85216 | [
"Apache-2.0"
] | null | null | null | DCNN-Pytorch/shape_testing.py | linklab-uva/deepracing | fc25c47658277df029e7399d295d97a75fe85216 | [
"Apache-2.0"
] | 4 | 2019-01-23T23:36:57.000Z | 2021-07-02T00:18:37.000Z | import torch
import deepracing_models.nn_models.Models as M
import time
#net = M.AdmiralNetKinematicPredictor(use_3dconv=False, sequence_length=20, context_length=5)
net = M.AdmiralNetCurvePredictor(use_3dconv=True, context_length=5, params_per_dimension=6)
net = net.cuda(0)
im = torch.rand(64,5,3,66,200)
im = im.cuda(... | 30.5 | 93 | 0.764344 | import torch
import deepracing_models.nn_models.Models as M
import time
net = M.AdmiralNetCurvePredictor(use_3dconv=True, context_length=5, params_per_dimension=6)
net = net.cuda(0)
im = torch.rand(64,5,3,66,200)
im = im.cuda(0)
net=net.eval()
print(net)
print("Running net")
tick = time.time()
out = net(im)
tock = time... | true | true |
1c43c356ac0bdcea6eceba09900f788aa2884b63 | 1,000 | py | Python | isi_sdk_8_1_1/test/test_storagepool_settings_extended.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_1_1/test/test_storagepool_settings_extended.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_1_1/test/test_storagepool_settings_extended.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 6
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import isi_sdk_8_1_1
from i... | 24.390244 | 112 | 0.734 |
from __future__ import absolute_import
import unittest
import isi_sdk_8_1_1
from isi_sdk_8_1_1.models.storagepool_settings_extended import StoragepoolSettingsExtended from isi_sdk_8_1_1.rest import ApiException
class TestStoragepoolSettingsExtended(unittest.TestCase):
def setUp(self):
pass
def... | true | true |
1c43c36c2ada9f5d833ee6c1c64f1c7f9dff279a | 113 | py | Python | dexy/reporters/nodegraph/__init__.py | dsoto/dexy | 0f2090250040c3c54c8481a16de8e476b559e87c | [
"MIT"
] | 136 | 2015-01-06T15:04:47.000Z | 2021-12-21T22:52:41.000Z | dexy/reporters/nodegraph/__init__.py | dsoto/dexy | 0f2090250040c3c54c8481a16de8e476b559e87c | [
"MIT"
] | 13 | 2015-01-26T14:06:58.000Z | 2020-03-27T21:16:10.000Z | dexy/reporters/nodegraph/__init__.py | dsoto/dexy | 0f2090250040c3c54c8481a16de8e476b559e87c | [
"MIT"
] | 34 | 2015-01-02T16:24:53.000Z | 2021-11-27T05:38:30.000Z | import dexy.reporters.nodegraph.d3
import dexy.reporters.nodegraph.text
import dexy.reporters.nodegraph.graphviz
| 28.25 | 40 | 0.867257 | import dexy.reporters.nodegraph.d3
import dexy.reporters.nodegraph.text
import dexy.reporters.nodegraph.graphviz
| true | true |
1c43c4671697267b7379d98f325b8b8c320e8e61 | 3,078 | py | Python | cv/models.py | ezraermy/mkcv | a75ec4144b313d1f92795da582d988634cd4ac7c | [
"MIT"
] | null | null | null | cv/models.py | ezraermy/mkcv | a75ec4144b313d1f92795da582d988634cd4ac7c | [
"MIT"
] | null | null | null | cv/models.py | ezraermy/mkcv | a75ec4144b313d1f92795da582d988634cd4ac7c | [
"MIT"
] | null | null | null | from django.db import models
from phonenumber_field.modelfields import PhoneNumberField
# Create your models here.
class CVmaker(models.Model):
title = models.CharField(max_length=255, null=True)
def __str__(self):
return self.title
class Meta:
verbose_name_plural = 'CVmaker'
class E... | 34.58427 | 110 | 0.649773 | from django.db import models
from phonenumber_field.modelfields import PhoneNumberField
class CVmaker(models.Model):
title = models.CharField(max_length=255, null=True)
def __str__(self):
return self.title
class Meta:
verbose_name_plural = 'CVmaker'
class Employee(models.Model):
... | true | true |
1c43c476a29fee110ef9fc498803191a11545755 | 35,260 | py | Python | meta_dataset/learners/experimental/optimization_learners.py | shikanggao/meta-dataset | 7b1e99009516eda3bbd5e740e178ebc37e2d6767 | [
"Apache-2.0"
] | null | null | null | meta_dataset/learners/experimental/optimization_learners.py | shikanggao/meta-dataset | 7b1e99009516eda3bbd5e740e178ebc37e2d6767 | [
"Apache-2.0"
] | null | null | null | meta_dataset/learners/experimental/optimization_learners.py | shikanggao/meta-dataset | 7b1e99009516eda3bbd5e740e178ebc37e2d6767 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Meta-Dataset Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 37.71123 | 80 | 0.713244 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import itertools
import gin.tf
from meta_dataset.learners.experimental import base as learner_base
from meta_dataset.models.experimental import reparameterizable_backbones
from meta_datas... | true | true |
1c43c5bfecaed4e7e8964c995dae337fc39d6831 | 126 | py | Python | server/app.py | ZhiShiMao/one | 313c64a47e563fabf9b24e67c52308daff6912e3 | [
"MIT"
] | null | null | null | server/app.py | ZhiShiMao/one | 313c64a47e563fabf9b24e67c52308daff6912e3 | [
"MIT"
] | null | null | null | server/app.py | ZhiShiMao/one | 313c64a47e563fabf9b24e67c52308daff6912e3 | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from .api import routers
app = FastAPI()
for router in routers:
app.include_router(router)
| 14 | 30 | 0.753968 | from fastapi import FastAPI
from .api import routers
app = FastAPI()
for router in routers:
app.include_router(router)
| true | true |
1c43c887f1307042e07971b032b7bf4181a998aa | 2,327 | py | Python | ion/services/coi/object_management_service.py | ooici/coi-services | 43246f46a82e597345507afd7dfc7373cb346afa | [
"BSD-2-Clause"
] | 3 | 2016-09-20T09:50:06.000Z | 2018-08-10T01:41:38.000Z | ion/services/coi/object_management_service.py | ooici/coi-services | 43246f46a82e597345507afd7dfc7373cb346afa | [
"BSD-2-Clause"
] | null | null | null | ion/services/coi/object_management_service.py | ooici/coi-services | 43246f46a82e597345507afd7dfc7373cb346afa | [
"BSD-2-Clause"
] | 2 | 2016-03-16T22:25:49.000Z | 2016-11-26T14:54:21.000Z | #!/usr/bin/env python
__author__ = 'Stephen P. Henrie'
from interface.services.coi.iobject_management_service import BaseObjectManagementService
from pyon.util.containers import is_basic_identifier
from pyon.core.exception import BadRequest, NotFound
from pyon.core.interfaces.interface_util import is_yaml_string_va... | 33.724638 | 89 | 0.647615 |
__author__ = 'Stephen P. Henrie'
from interface.services.coi.iobject_management_service import BaseObjectManagementService
from pyon.util.containers import is_basic_identifier
from pyon.core.exception import BadRequest, NotFound
from pyon.core.interfaces.interface_util import is_yaml_string_valid
class ObjectMana... | true | true |
1c43c91efb5c15cc4a8aef6be89a5b65609db2e1 | 633 | py | Python | src/manage.py | ravihansa/django-multiple-user-auth | 7b6d1c783fc72d30cb7a5bcdf3a262f6ac0772b1 | [
"bzip2-1.0.6"
] | 1 | 2019-10-07T15:26:24.000Z | 2019-10-07T15:26:24.000Z | src/manage.py | ravihansa/django-multiple-user-auth | 7b6d1c783fc72d30cb7a5bcdf3a262f6ac0772b1 | [
"bzip2-1.0.6"
] | null | null | null | src/manage.py | ravihansa/django-multiple-user-auth | 7b6d1c783fc72d30cb7a5bcdf3a262f6ac0772b1 | [
"bzip2-1.0.6"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'multiUserAuth.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ... | 28.772727 | 77 | 0.685624 | import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'multiUserAuth.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
... | true | true |
1c43c9505cca8a34ef1bc2f328835501e9ee524a | 969 | py | Python | django/contrib/admin/decorators.py | ni-ning/django | 2e7ba6057cfc82a15a22b6021cd60cf307152e2d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | 7 | 2021-03-18T10:21:34.000Z | 2022-02-09T12:54:51.000Z | virtual/lib/python3.6/site-packages/django/contrib/admin/decorators.py | kahenya-anita/Insta-Clone | 4894e959c17170505e73aee6dc497aeb29d55a71 | [
"MIT"
] | 61 | 2021-01-10T12:59:01.000Z | 2021-06-24T09:19:20.000Z | virtual/lib/python3.6/site-packages/django/contrib/admin/decorators.py | kahenya-anita/Insta-Clone | 4894e959c17170505e73aee6dc497aeb29d55a71 | [
"MIT"
] | 7 | 2021-03-15T13:39:20.000Z | 2022-03-29T12:08:21.000Z | def register(*models, site=None):
"""
Register the given model(s) classes and wrapped ModelAdmin class with
admin site:
@register(Author)
class AuthorAdmin(admin.ModelAdmin):
pass
The `site` kwarg is an admin site to use instead of the default admin site.
"""
from django.contri... | 31.258065 | 79 | 0.691434 | def register(*models, site=None):
from django.contrib.admin import ModelAdmin
from django.contrib.admin.sites import AdminSite, site as default_site
def _model_admin_wrapper(admin_class):
if not models:
raise ValueError('At least one model must be passed to register.')
admin_si... | true | true |
1c43cac183ab237cc74013825695bd82ee649cd5 | 1,123 | py | Python | CODE/models/.ipynb_checkpoints/regression-checkpoint.py | happyfuntimegroup/machinelearning | 48b381092736591e4685faafdddc713391922266 | [
"MIT"
] | 1 | 2021-12-07T12:38:33.000Z | 2021-12-07T12:38:33.000Z | CODE/models/regression.py | SelinZ/machinelearning | 105273b2cf5907b23a2ee2b4c076d89f215c38ff | [
"MIT"
] | 12 | 2021-11-30T13:57:48.000Z | 2021-12-07T08:33:18.000Z | CODE/models/regression.py | SelinZ/machinelearning | 105273b2cf5907b23a2ee2b4c076d89f215c38ff | [
"MIT"
] | 1 | 2021-12-07T12:38:00.000Z | 2021-12-07T12:38:00.000Z | def simple_linear(X_train, y_train, X_val, y_val):
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score, mean_absolute_error
model = LinearRegression()
reg = model.fit(X = X_train, y = y_train)
y_pred_val = model.predict(X_val)
print(r2_score(y_val, y_pred_val)... | 34.030303 | 80 | 0.719501 | def simple_linear(X_train, y_train, X_val, y_val):
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score, mean_absolute_error
model = LinearRegression()
reg = model.fit(X = X_train, y = y_train)
y_pred_val = model.predict(X_val)
print(r2_score(y_val, y_pred_val)... | true | true |
1c43cad59151b333a58e3e9bbe73d9671373383e | 6,744 | py | Python | spider/quanmin_anchor.py | AcerFeng/Zhudao | 5a36d0dc7bd718ce03aa476a31b36d7b5230b1b7 | [
"MIT"
] | null | null | null | spider/quanmin_anchor.py | AcerFeng/Zhudao | 5a36d0dc7bd718ce03aa476a31b36d7b5230b1b7 | [
"MIT"
] | null | null | null | spider/quanmin_anchor.py | AcerFeng/Zhudao | 5a36d0dc7bd718ce03aa476a31b36d7b5230b1b7 | [
"MIT"
] | 1 | 2018-09-13T07:41:44.000Z | 2018-09-13T07:41:44.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Created on 2018-01-25 00:45:53
# Project: quanmin_anchor
from pyspider.libs.base_handler import *
import pymysql
from datetime import datetime
class Handler(BaseHandler):
headers = {
'Host': 'www.quanmin.tv',
'Connection': 'Keep-Alive',
'A... | 40.626506 | 270 | 0.361358 |
from pyspider.libs.base_handler import *
import pymysql
from datetime import datetime
class Handler(BaseHandler):
headers = {
'Host': 'www.quanmin.tv',
'Connection': 'Keep-Alive',
'Accept-Encoding': 'gzip',
'User-Agent': 'okhttp/3.9.1',
}
crawl_config = {
'itag': ... | true | true |
1c43cad729128c44137a71f706001f60a8c1b995 | 100 | py | Python | modules/ESP8266/ota.py | ccccmagicboy/MicroPython_fw | d2049bc19e3d5010f5d6d0d17aa13a8693914fbd | [
"MIT"
] | 4 | 2020-02-02T20:12:59.000Z | 2020-07-20T15:44:07.000Z | modules/ESP8266/ota.py | ccccmagicboy/MicroPython_fw | d2049bc19e3d5010f5d6d0d17aa13a8693914fbd | [
"MIT"
] | 10 | 2020-02-18T09:57:04.000Z | 2020-03-04T11:39:17.000Z | modules/ESP8266/ota.py | ccccmagicboy/MicroPython_fw | d2049bc19e3d5010f5d6d0d17aa13a8693914fbd | [
"MIT"
] | null | null | null | import machine
def start():
machine.RTC().memory('yaotaota')
machine.reset()
| 12.5 | 36 | 0.57 | import machine
def start():
machine.RTC().memory('yaotaota')
machine.reset()
| true | true |
1c43cb3436d953b4031542e8c7c48bea06d83265 | 11,467 | py | Python | ovsdbapp/api.py | Sharpeye90/ovsdbapp | 6577bbd5e80cdbe95207211d4d47f43b121f2c86 | [
"Apache-2.0"
] | 34 | 2017-03-24T10:14:33.000Z | 2021-11-19T05:04:54.000Z | ovsdbapp/api.py | Sharpeye90/ovsdbapp | 6577bbd5e80cdbe95207211d4d47f43b121f2c86 | [
"Apache-2.0"
] | 2 | 2021-09-21T13:23:01.000Z | 2021-09-21T13:23:28.000Z | ovsdbapp/api.py | Sharpeye90/ovsdbapp | 6577bbd5e80cdbe95207211d4d47f43b121f2c86 | [
"Apache-2.0"
] | 15 | 2017-07-06T08:00:52.000Z | 2022-03-13T10:29:40.000Z | # Copyright (c) 2014 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 40.235088 | 79 | 0.616552 |
import abc
import contextlib
import threading
class Command(object, metaclass=abc.ABCMeta):
@abc.abstractmethod
def execute(self, **transaction_options):
class Transaction(object, metaclass=abc.ABCMeta):
@abc.abstractmethod
def commit(self):
@abc.abstractmethod
def add(self, command):
... | true | true |
1c43cb8e251561f5ffb61eedf812dca217fee446 | 524 | py | Python | mysite/ads/views.py | MarcosSalib/mysite_django | 593c9758eeff0b9f536fe6dd2a84a8097ed1850e | [
"MIT"
] | null | null | null | mysite/ads/views.py | MarcosSalib/mysite_django | 593c9758eeff0b9f536fe6dd2a84a8097ed1850e | [
"MIT"
] | null | null | null | mysite/ads/views.py | MarcosSalib/mysite_django | 593c9758eeff0b9f536fe6dd2a84a8097ed1850e | [
"MIT"
] | null | null | null | from django.views import View
from .owner import OwnerListView, OwnerDetailView, OwnerCreateView, OwnerUpdateView, OwnerDeleteView
from .models import Ad
# Create your views here.
class AdListView(OwnerListView):
model = Ad
class AdDetailView(OwnerDetailView):
model = Ad
class AdCreateView(OwnerCreateView)... | 20.96 | 100 | 0.727099 | from django.views import View
from .owner import OwnerListView, OwnerDetailView, OwnerCreateView, OwnerUpdateView, OwnerDeleteView
from .models import Ad
class AdListView(OwnerListView):
model = Ad
class AdDetailView(OwnerDetailView):
model = Ad
class AdCreateView(OwnerCreateView):
model = Ad
field... | true | true |
1c43cbadac49f2a6bc13476f9326555357353823 | 1,364 | py | Python | app.py | eshaan7/IPU_GPA_Calculator | 19744864525ceb6de5bd7b6c5c5467870c0281ac | [
"MIT"
] | 6 | 2019-06-12T09:58:14.000Z | 2019-07-28T23:13:28.000Z | app.py | eshaan7/IPU_GPA_Calculator | 19744864525ceb6de5bd7b6c5c5467870c0281ac | [
"MIT"
] | 1 | 2019-06-24T13:57:21.000Z | 2019-06-24T13:57:21.000Z | app.py | Eshaan7/IPU_GPA_Calculator | 19744864525ceb6de5bd7b6c5c5467870c0281ac | [
"MIT"
] | 3 | 2019-06-12T09:58:16.000Z | 2019-08-26T20:08:17.000Z | import os
from flask import Flask, render_template, request, redirect, url_for
app = Flask(__name__)
app.secret_key = "66b58fafa6a470f26fd2adc9de14cef2"
''' PWA Stuff '''
# only trigger SSLify if the app is running on Heroku
if 'DYNO' in os.environ:
from flask_sslify import SSLify
sslify = SSLify(app)
@app.route(... | 29.021277 | 88 | 0.691349 | import os
from flask import Flask, render_template, request, redirect, url_for
app = Flask(__name__)
app.secret_key = "66b58fafa6a470f26fd2adc9de14cef2"
if 'DYNO' in os.environ:
from flask_sslify import SSLify
sslify = SSLify(app)
@app.route('/sw.js', methods=['GET'])
def sw():
return app.send_static_file('sw... | true | true |
1c43cc4bdaf1de7725864b1cb397715c2bbf7991 | 1,517 | py | Python | main.py | yelite/RoomMonitor | 2a1699478aa91ec001fe691c1160e7ac7f7f291d | [
"MIT"
] | null | null | null | main.py | yelite/RoomMonitor | 2a1699478aa91ec001fe691c1160e7ac7f7f291d | [
"MIT"
] | null | null | null | main.py | yelite/RoomMonitor | 2a1699478aa91ec001fe691c1160e7ac7f7f291d | [
"MIT"
] | null | null | null | #coding=utf-8
from datetime import datetime, timedelta
from flask import Flask, render_template, g, jsonify
from model import Data
from helper import gen_unpack_func
from fetch import fetch
app = Flask(__name__)
def get_session():
session = getattr(g, '_session', None)
if session is None:
from db... | 23.338462 | 92 | 0.607779 |
from datetime import datetime, timedelta
from flask import Flask, render_template, g, jsonify
from model import Data
from helper import gen_unpack_func
from fetch import fetch
app = Flask(__name__)
def get_session():
session = getattr(g, '_session', None)
if session is None:
from db import Sessio... | true | true |
1c43ce98895617da79c14c62c224e64da0d934dc | 335 | py | Python | notes/algo-ds-practice/problems/dp/kadane.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | 6 | 2020-07-05T05:15:19.000Z | 2021-01-24T20:17:14.000Z | notes/algo-ds-practice/problems/dp/kadane.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | null | null | null | notes/algo-ds-practice/problems/dp/kadane.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | 2 | 2020-09-14T06:46:37.000Z | 2021-06-15T09:17:21.000Z | def kadane(arr):
max_global = -1e9
max_local = max_global
for elem in arr:
max_local = max(elem, elem + max_local)
max_global = max(max_global, max_local)
return max_global
def main():
arr = [-2, -3, 4, -1, -2, 1, 5, -3]
ret = kadane(arr)
print(ret)
if __name__ == "__main... | 19.705882 | 47 | 0.576119 | def kadane(arr):
max_global = -1e9
max_local = max_global
for elem in arr:
max_local = max(elem, elem + max_local)
max_global = max(max_global, max_local)
return max_global
def main():
arr = [-2, -3, 4, -1, -2, 1, 5, -3]
ret = kadane(arr)
print(ret)
if __name__ == "__main... | true | true |
1c43d004d4a185b1bfb3c178eb285b0d6056337f | 2,100 | py | Python | llvm-spirv/test/lit.cfg.py | Ralender/sycl | 1fcd1e6d3da10024be92148501aced30ae3aa2be | [
"Apache-2.0"
] | 1 | 2020-09-25T23:33:05.000Z | 2020-09-25T23:33:05.000Z | llvm-spirv/test/lit.cfg.py | Ralender/sycl | 1fcd1e6d3da10024be92148501aced30ae3aa2be | [
"Apache-2.0"
] | null | null | null | llvm-spirv/test/lit.cfg.py | Ralender/sycl | 1fcd1e6d3da10024be92148501aced30ae3aa2be | [
"Apache-2.0"
] | null | null | null | # -*- Python -*-
import lit.formats
import lit.util
from lit.llvm import llvm_config
from lit.llvm.subst import ToolSubst
from lit.llvm.subst import FindTool
# Configuration file for the 'lit' test runner.
# name: The name of this test suite.
config.name = 'LLVM_SPIRV'
# testFormat: The test format to use to inter... | 33.870968 | 115 | 0.748571 |
import lit.formats
import lit.util
from lit.llvm import llvm_config
from lit.llvm.subst import ToolSubst
from lit.llvm.subst import FindTool
config.name = 'LLVM_SPIRV'
config.test_format = lit.formats.ShTest(True)
config.suffixes = ['.cl', '.ll', '.spt']
config.excludes = ['CMakeLists.txt']
if not config.spirv_... | true | true |
1c43d04f11f00dcdcc7312268a8db53989c15597 | 28,424 | py | Python | swift/common/request_helpers.py | Priyanka-Askani/swift | 1ab691f63778008015b34ce004992844acee9968 | [
"Apache-2.0"
] | 1 | 2019-05-25T10:55:58.000Z | 2019-05-25T10:55:58.000Z | swift/common/request_helpers.py | Priyanka-Askani/swift | 1ab691f63778008015b34ce004992844acee9968 | [
"Apache-2.0"
] | 12 | 2015-06-23T23:20:17.000Z | 2016-01-27T00:37:12.000Z | swift/common/request_helpers.py | Priyanka-Askani/swift | 1ab691f63778008015b34ce004992844acee9968 | [
"Apache-2.0"
] | 5 | 2015-06-04T19:00:11.000Z | 2015-12-16T21:04:33.000Z | # Copyright (c) 2010-2013 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 39.587744 | 79 | 0.63369 |
import hashlib
import itertools
import sys
import time
import six
from six.moves.urllib.parse import unquote
from swift.common.header_key_dict import HeaderKeyDict
from swift import gettext_ as _
from swift.common.storage_policy import POLICIES
from swift.common.exceptions import ListingIterError, SegmentError
from... | true | true |
1c43d04ffcbbf8f8291758e9efda58952ca0da53 | 1,510 | py | Python | nengolib/stats/ortho.py | ikajic/nengolib | bd30ec38ba656bedb94a267b5f86b51d1cec4954 | [
"MIT"
] | 27 | 2016-01-21T04:11:02.000Z | 2021-11-16T20:41:04.000Z | nengolib/stats/ortho.py | ikajic/nengolib | bd30ec38ba656bedb94a267b5f86b51d1cec4954 | [
"MIT"
] | 178 | 2016-01-21T16:04:34.000Z | 2021-05-01T16:28:02.000Z | nengolib/stats/ortho.py | ikajic/nengolib | bd30ec38ba656bedb94a267b5f86b51d1cec4954 | [
"MIT"
] | 4 | 2019-03-19T18:22:02.000Z | 2021-03-23T16:06:57.000Z | import numpy as np
from scipy.linalg import svd
from nengo.dists import UniformHypersphere
__all__ = ['random_orthogonal']
def random_orthogonal(d, rng=None):
"""Returns a random orthogonal matrix.
Parameters
----------
d : ``integer``
Positive dimension of returned matrix.
rng : :clas... | 26.964286 | 65 | 0.598675 | import numpy as np
from scipy.linalg import svd
from nengo.dists import UniformHypersphere
__all__ = ['random_orthogonal']
def random_orthogonal(d, rng=None):
rng = np.random if rng is None else rng
m = UniformHypersphere(surface=True).sample(d, d, rng=rng)
u, s, v = svd(m)
return np.dot(u, v)
| true | true |
1c43d0671192f23cc6c504e35209d21603155e04 | 5,160 | py | Python | wikimapper/cli.py | jcklie/wikimapper | fadecea085bfa11779e33e94b03a8dcdd2d045a7 | [
"Apache-2.0"
] | 69 | 2019-05-07T02:41:57.000Z | 2022-03-29T09:33:43.000Z | wikimapper/cli.py | jcklie/wikimapper | fadecea085bfa11779e33e94b03a8dcdd2d045a7 | [
"Apache-2.0"
] | 6 | 2019-04-26T11:16:07.000Z | 2021-04-08T15:35:33.000Z | wikimapper/cli.py | jcklie/wikimapper | fadecea085bfa11779e33e94b03a8dcdd2d045a7 | [
"Apache-2.0"
] | 7 | 2020-02-14T20:00:23.000Z | 2021-12-17T09:56:19.000Z | import argparse
import logging
import os
from wikimapper.__version__ import __version__
from wikimapper import download_wikidumps, create_index, WikiMapper
def main():
logging.basicConfig(
level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
description = "Map Wik... | 34.630872 | 193 | 0.650775 | import argparse
import logging
import os
from wikimapper.__version__ import __version__
from wikimapper import download_wikidumps, create_index, WikiMapper
def main():
logging.basicConfig(
level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
description = "Map Wik... | true | true |
1c43d0fc92643c28afe3143be964b00509b6b818 | 22,725 | py | Python | build/lib/pspnet/pspnet.py | NamTran838P/pspnet-keras | 4005fd7867036e5476bcc694fd2f548a22860d4b | [
"MIT"
] | null | null | null | build/lib/pspnet/pspnet.py | NamTran838P/pspnet-keras | 4005fd7867036e5476bcc694fd2f548a22860d4b | [
"MIT"
] | null | null | null | build/lib/pspnet/pspnet.py | NamTran838P/pspnet-keras | 4005fd7867036e5476bcc694fd2f548a22860d4b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
A Keras/Tensorflow implementation of Pyramid Scene Parsing Networks.
Original paper & code published by Hengshuang Zhao et al. (2017)
"""
from __future__ import print_function
from __future__ import division
from os.path import splitext, join, isfile, isdir
from os import environ, wa... | 45.089286 | 169 | 0.602552 | from __future__ import print_function
from __future__ import division
from os.path import splitext, join, isfile, isdir
from os import environ, walk
from math import ceil
import argparse
import glob
import fnmatch
import warnings
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets impo... | true | true |
1c43d13e1d7ae8c436ac089155e651917aefd88c | 5,603 | py | Python | Parser-hybrid/nparser/neural/models/nlp/parsers/gama_parser.py | sb-b/BOUN-PARSE | 2b529924897d8e2613c4d2193a67796a895da40b | [
"Apache-2.0"
] | 12 | 2020-03-04T17:36:12.000Z | 2021-09-26T14:02:49.000Z | Parser-hybrid/nparser/neural/models/nlp/parsers/gama_parser.py | sb-b/BOUN-PARSE | 2b529924897d8e2613c4d2193a67796a895da40b | [
"Apache-2.0"
] | 1 | 2020-12-09T08:21:11.000Z | 2020-12-09T08:21:11.000Z | Parser-hybrid/nparser/neural/models/nlp/parsers/gama_parser.py | sb-b/BOUN-PARSE | 2b529924897d8e2613c4d2193a67796a895da40b | [
"Apache-2.0"
] | 3 | 2020-11-18T09:53:42.000Z | 2020-12-17T23:04:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2016 Timothy Dozat
#
# 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 ... | 41.198529 | 164 | 0.622345 |
import numpy as np
import tensorflow as tf
from nparser.neural.models.nlp.parsers.base_parser import BaseParser
class GamaParser(BaseParser):
def __call__(self, vocabs, moving_params=None):
top_recur = super(GamaParser, self).__call__(vocabs, moving_params=moving_params)
int_tokens_to_keep =... | true | true |
1c43d18889a0f6900709ccbbcf70196aa6da5678 | 6,236 | py | Python | db_comm_messages.py | seeul8er/DroneBridge_Comm | 156ef546f4680084acc94c34f9ed3caeecf23585 | [
"Apache-2.0"
] | 1 | 2017-11-29T17:06:37.000Z | 2017-11-29T17:06:37.000Z | db_comm_messages.py | seeul8er/DroneBridge_Comm | 156ef546f4680084acc94c34f9ed3caeecf23585 | [
"Apache-2.0"
] | null | null | null | db_comm_messages.py | seeul8er/DroneBridge_Comm | 156ef546f4680084acc94c34f9ed3caeecf23585 | [
"Apache-2.0"
] | null | null | null | import json
import configparser
import binascii
from itertools import chain
import os
tag = 'DB_COMM_MESSAGE: '
PATH_DRONEBRIDGE_TX_SETTINGS = "/boot/DroneBridgeTX.ini"
PATH_DRONEBRIDGE_RX_SETTINGS = "/boot/DroneBridgeRX.ini"
PATH_WBC_SETTINGS = "/boot/wifibroadcast-1.txt"
# As we send it as a single frame we do not ... | 37.341317 | 121 | 0.642559 | import json
import configparser
import binascii
from itertools import chain
import os
tag = 'DB_COMM_MESSAGE: '
PATH_DRONEBRIDGE_TX_SETTINGS = "/boot/DroneBridgeTX.ini"
PATH_DRONEBRIDGE_RX_SETTINGS = "/boot/DroneBridgeRX.ini"
PATH_WBC_SETTINGS = "/boot/wifibroadcast-1.txt"
wbc_settings_blacklist = ["TXMODE", "MAC_RX[... | true | true |
1c43d22b596fddf6286a515cf1c8f75f7f260ee6 | 1,209 | py | Python | common/message_forwarder.py | matthewdargan/Cozmo-Capture-the-Flag | 959467ed6ebaeeb42fe60db5905e49963b5d2096 | [
"MIT"
] | null | null | null | common/message_forwarder.py | matthewdargan/Cozmo-Capture-the-Flag | 959467ed6ebaeeb42fe60db5905e49963b5d2096 | [
"MIT"
] | null | null | null | common/message_forwarder.py | matthewdargan/Cozmo-Capture-the-Flag | 959467ed6ebaeeb42fe60db5905e49963b5d2096 | [
"MIT"
] | 1 | 2019-03-05T17:12:07.000Z | 2019-03-05T17:12:07.000Z | import socket
from socket import error as socket_error
from typing import List
def start_connection(ip: str, port: int) -> socket.socket:
"""
Start a connection to a TCP network.
:param ip ip address of the network
:param port port number to forward messages over
:return: socket opened with the i... | 25.1875 | 80 | 0.649297 | import socket
from socket import error as socket_error
from typing import List
def start_connection(ip: str, port: int) -> socket.socket:
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
except socket_error:
print("Connection failed.")
try:
s.connect((ip, port))
exc... | true | true |
1c43d37c4d3866bf302fa057cdab10f32428ea99 | 953 | py | Python | cohesity_management_sdk/models/search_job_status_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-09-24T17:35:53.000Z | 2022-03-25T08:08:47.000Z | cohesity_management_sdk/models/search_job_status_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-03-29T19:32:29.000Z | 2022-01-03T23:16:45.000Z | cohesity_management_sdk/models/search_job_status_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 16 | 2019-02-27T06:54:12.000Z | 2021-11-16T18:10:24.000Z | # -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
class SearchJobStatusEnum(object):
"""Implementation of the 'SearchJobStatus' enum.
Specifies the status of the search.
'kJobRunning' indicates that the Job/task is currently running.
'kJobFinished' indicates that the Job/task completed and finis... | 28.029412 | 73 | 0.699895 |
class SearchJobStatusEnum(object):
KJOBRUNNING = 'kJobRunning'
KJOBFINISHED = 'kJobFinished'
KJOBFAILED = 'kJobFailed'
KJOBCANCELED = 'kJobCanceled'
KJOBPAUSED = 'kJobPaused'
| true | true |
1c43d38f9620e64fb551b35cd7d5f96e522ca4e4 | 96 | py | Python | spark_surveymonkey/__init__.py | eferm/spark-surveymonkey | 0912268c9604f32226d29b3d870296d781787a3a | [
"MIT"
] | null | null | null | spark_surveymonkey/__init__.py | eferm/spark-surveymonkey | 0912268c9604f32226d29b3d870296d781787a3a | [
"MIT"
] | null | null | null | spark_surveymonkey/__init__.py | eferm/spark-surveymonkey | 0912268c9604f32226d29b3d870296d781787a3a | [
"MIT"
] | null | null | null | from ._transform import transform_survey
__version__ = '0.1.0'
__all__ = ('transform_survey')
| 16 | 40 | 0.760417 | from ._transform import transform_survey
__version__ = '0.1.0'
__all__ = ('transform_survey')
| true | true |
1c43d4b1509801a52270c7d65891a51a3a8e8637 | 10,527 | py | Python | helpers/shuffleMockCatalog.py | manodeep/yymao-helpers | 4ceffd639f4a10d259146f3f94e0b2415e835f32 | [
"MIT"
] | null | null | null | helpers/shuffleMockCatalog.py | manodeep/yymao-helpers | 4ceffd639f4a10d259146f3f94e0b2415e835f32 | [
"MIT"
] | null | null | null | helpers/shuffleMockCatalog.py | manodeep/yymao-helpers | 4ceffd639f4a10d259146f3f94e0b2415e835f32 | [
"MIT"
] | null | null | null | __all__ = ['shuffleMockCatalog', 'generate_upid']
import warnings
from itertools import izip
import numpy as np
from numpy.lib.recfunctions import rename_fields
def _iter_plateau_in_sorted_array(a):
if len(a):
k = np.where(a[1:] != a[:-1])[0]
k += 1
i = 0
for j in k:
yie... | 36.807692 | 80 | 0.595516 | __all__ = ['shuffleMockCatalog', 'generate_upid']
import warnings
from itertools import izip
import numpy as np
from numpy.lib.recfunctions import rename_fields
def _iter_plateau_in_sorted_array(a):
if len(a):
k = np.where(a[1:] != a[:-1])[0]
k += 1
i = 0
for j in k:
yie... | true | true |
1c43d5f43d8a82eed84cc58c3d38663d541a8be4 | 831 | py | Python | accessible_output/speech/outputs/jaws.py | Timtam/cards-against-humanity | 89ea61b5c9915198b845bbf8a93c3f7827323ceb | [
"MIT"
] | 5 | 2017-04-11T00:18:42.000Z | 2021-08-01T04:27:20.000Z | accessible_output/speech/outputs/jaws.py | Timtam/cards-against-humanity | 89ea61b5c9915198b845bbf8a93c3f7827323ceb | [
"MIT"
] | 47 | 2017-04-27T18:57:27.000Z | 2017-07-16T21:18:28.000Z | accessible_output/speech/outputs/jaws.py | Timtam/cards-against-humanity | 89ea61b5c9915198b845bbf8a93c3f7827323ceb | [
"MIT"
] | 4 | 2018-05-17T12:33:59.000Z | 2022-02-20T16:08:51.000Z | from pywintypes import com_error
import win32gui
import win32com.client
from main import OutputError, ScreenreaderSpeechOutput
class Jaws (ScreenreaderSpeechOutput):
"""Speech output supporting the Jaws for Windows screen reader."""
name = 'Jaws'
def __init__(self, *args, **kwargs):
super (Jaws, self).__init__... | 26.806452 | 124 | 0.718412 | from pywintypes import com_error
import win32gui
import win32com.client
from main import OutputError, ScreenreaderSpeechOutput
class Jaws (ScreenreaderSpeechOutput):
name = 'Jaws'
def __init__(self, *args, **kwargs):
super (Jaws, self).__init__(*args, **kwargs)
try:
self.object = win32com.client.Dispatch("... | true | true |
1c43d7479da3c0f98336c0c943df2ebf50f430e0 | 9,059 | py | Python | algs/nsga_net/utils/utils.py | Beautyya/BenchENA | 5f5491614fc2f00ca26dc29f35f44c334db4718c | [
"MIT"
] | null | null | null | algs/nsga_net/utils/utils.py | Beautyya/BenchENA | 5f5491614fc2f00ca26dc29f35f44c334db4718c | [
"MIT"
] | null | null | null | algs/nsga_net/utils/utils.py | Beautyya/BenchENA | 5f5491614fc2f00ca26dc29f35f44c334db4718c | [
"MIT"
] | null | null | null | import configparser
import os
import platform
import multiprocessing
from compute.file import get_algo_local_dir, get_local_path
import time
import os
import numpy as np
from algs.nsga_net.utils.statusupdatetool import StatusUpdateTool
from algs.nsga_net.genetic.population import Population, Individual
class Utils(ob... | 40.084071 | 114 | 0.535821 | import configparser
import os
import platform
import multiprocessing
from compute.file import get_algo_local_dir, get_local_path
import time
import os
import numpy as np
from algs.nsga_net.utils.statusupdatetool import StatusUpdateTool
from algs.nsga_net.genetic.population import Population, Individual
class Utils(ob... | true | true |
1c43d78b35231ae2efb4db918cbc7bf068cee45e | 4,547 | py | Python | examples/mfa_extraction/fix_mismatch.py | geneing/TensorFlowTTS | 0035ba00fec1b2b1184c8df32646d6a88b01ee5b | [
"Apache-2.0"
] | null | null | null | examples/mfa_extraction/fix_mismatch.py | geneing/TensorFlowTTS | 0035ba00fec1b2b1184c8df32646d6a88b01ee5b | [
"Apache-2.0"
] | null | null | null | examples/mfa_extraction/fix_mismatch.py | geneing/TensorFlowTTS | 0035ba00fec1b2b1184c8df32646d6a88b01ee5b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 TensorFlowTTS Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 34.44697 | 119 | 0.520563 |
import numpy as np
import os
from tqdm import tqdm
import click
import logging
import sys
logging.basicConfig(
level=logging.DEBUG,
stream=sys.stdout,
format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
)
@click.command()
@click.option("--base_path", default="dump")
@click.option("... | true | true |
1c43dadf8de6f9e1d56a4de21587cb982ee0979e | 3,531 | py | Python | profiles_project/settings.py | CGarcia8CG/profiles-resst-api | 2a31f66f875f006a437865999fb5dd63049b14ae | [
"MIT"
] | null | null | null | profiles_project/settings.py | CGarcia8CG/profiles-resst-api | 2a31f66f875f006a437865999fb5dd63049b14ae | [
"MIT"
] | null | null | null | profiles_project/settings.py | CGarcia8CG/profiles-resst-api | 2a31f66f875f006a437865999fb5dd63049b14ae | [
"MIT"
] | null | null | null | """
Django settings for profiles_project project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
impor... | 26.548872 | 91 | 0.708581 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = 'u8&5lcphj96%8)2qf1bj*73i@p_p%_drs0$xrj44@o&6*txak!'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes... | true | true |
1c43db2740e3ecabf360bbab3b871d70e31d5cf0 | 938 | py | Python | composite.py | sloev/photobooth_web | ed2799f30f43dbc8042476c3f9238ffb39ead3b5 | [
"MIT"
] | null | null | null | composite.py | sloev/photobooth_web | ed2799f30f43dbc8042476c3f9238ffb39ead3b5 | [
"MIT"
] | null | null | null | composite.py | sloev/photobooth_web | ed2799f30f43dbc8042476c3f9238ffb39ead3b5 | [
"MIT"
] | null | null | null | from PIL import Image
import os
MAX_COLUMNS = 5
INPUT_DIR = './segments/'
images = [Image.open(INPUT_DIR + filename) for filename in sorted(os.listdir(INPUT_DIR)) if filename.endswith('.png')]
MAX_ROWS = int(len(images)/MAX_COLUMNS) + (1 if len(images) % 20 !=0 else 0)
img_width, img_height = images[0].size
print(M... | 29.3125 | 118 | 0.689765 | from PIL import Image
import os
MAX_COLUMNS = 5
INPUT_DIR = './segments/'
images = [Image.open(INPUT_DIR + filename) for filename in sorted(os.listdir(INPUT_DIR)) if filename.endswith('.png')]
MAX_ROWS = int(len(images)/MAX_COLUMNS) + (1 if len(images) % 20 !=0 else 0)
img_width, img_height = images[0].size
print(M... | true | true |
1c43db677624e3a656cc3cea81f95f7b0f6b3c81 | 353 | py | Python | bitcoin/metrics.py | darbik/work | 7f5640822fc5bbbd4033385d6377878b22785cb2 | [
"MIT"
] | null | null | null | bitcoin/metrics.py | darbik/work | 7f5640822fc5bbbd4033385d6377878b22785cb2 | [
"MIT"
] | 3 | 2016-08-04T18:12:05.000Z | 2016-08-09T16:55:09.000Z | bitcoin/metrics.py | darbik/bitcoin | 7f5640822fc5bbbd4033385d6377878b22785cb2 | [
"MIT"
] | null | null | null | from time import strftime
def get_volume(atmid, price, amount):
volume = (atmid, price, amount)
return volume
def get_time(atmid):
time = (atmid, strftime("%Y-%m-%d %H:%M:%S")) # time format is in UTC
return time
def get_fees(atmid, price, amount):
feesMade = (atmid, (amount / pric... | 16.809524 | 79 | 0.620397 | from time import strftime
def get_volume(atmid, price, amount):
volume = (atmid, price, amount)
return volume
def get_time(atmid):
time = (atmid, strftime("%Y-%m-%d %H:%M:%S"))
return time
def get_fees(atmid, price, amount):
feesMade = (atmid, (amount / price) * 0.05)
return f... | true | true |
1c43dbee4862a38bad9336f123d8fa764442b2cb | 8,629 | py | Python | torch_complex/complex_operation.py | veya2ztn/mltool | 4ed151152845ebe3de128e1f53c478581c1492e4 | [
"IJG"
] | null | null | null | torch_complex/complex_operation.py | veya2ztn/mltool | 4ed151152845ebe3de128e1f53c478581c1492e4 | [
"IJG"
] | null | null | null | torch_complex/complex_operation.py | veya2ztn/mltool | 4ed151152845ebe3de128e1f53c478581c1492e4 | [
"IJG"
] | null | null | null | import numpy as np
import torch
import torch.nn.functional as F
def complex_mul(tensor_1: torch.Tensor,tensor_2: torch.Tensor,mode='cc')-> torch.Tensor:
'''
:param tensor_1(2) [...,2] for real part and image part
'''
if mode == 'cc':
assert tensor_1.shape[-1]==2
assert tensor_2.shape[-1... | 35.510288 | 111 | 0.571909 | import numpy as np
import torch
import torch.nn.functional as F
def complex_mul(tensor_1: torch.Tensor,tensor_2: torch.Tensor,mode='cc')-> torch.Tensor:
if mode == 'cc':
assert tensor_1.shape[-1]==2
assert tensor_2.shape[-1]==2
real1,imag1=tensor_1[...,0],tensor_1[...,1]
real2,imag2... | true | true |
1c43dcbc0e87b2b9319a3efe3dd0e07b164d11cd | 36,802 | py | Python | code_generation/code_generator_online.py | annihilatorrrr/pytgbot | 2f84b11253873f7af1bc7539eb7d93197d51c90c | [
"MIT"
] | 52 | 2015-06-25T15:48:19.000Z | 2021-08-10T20:29:11.000Z | code_generation/code_generator_online.py | annihilatorrrr/pytgbot | 2f84b11253873f7af1bc7539eb7d93197d51c90c | [
"MIT"
] | 16 | 2016-04-12T08:11:30.000Z | 2021-07-22T18:00:07.000Z | code_generation/code_generator_online.py | annihilatorrrr/pytgbot | 2f84b11253873f7af1bc7539eb7d93197d51c90c | [
"MIT"
] | 14 | 2015-06-26T15:29:48.000Z | 2021-08-10T20:29:14.000Z | # -*- coding: utf-8 -*-
from pathlib import Path
from typing import Dict, List, Union
from code_generator import get_type_path
from code_generator_template import clazz, func, get_template, as_types
from code_generator_classes import Clazz, Function, Variable, Type, Import, FunctionClazz
from luckydonaldUtils.files.ba... | 42.496536 | 266 | 0.597386 | from pathlib import Path
from typing import Dict, List, Union
from code_generator import get_type_path
from code_generator_template import clazz, func, get_template, as_types
from code_generator_classes import Clazz, Function, Variable, Type, Import, FunctionClazz
from luckydonaldUtils.files.basics import mkdir_p fro... | true | true |
1c43ded31ce72ef1e9790a43940975d2e33defc8 | 42 | py | Python | run.py | chrisbarr/bilious-rutabaga | b2d01f03c2cce8342f11139279870156c0ebc9c9 | [
"MIT"
] | null | null | null | run.py | chrisbarr/bilious-rutabaga | b2d01f03c2cce8342f11139279870156c0ebc9c9 | [
"MIT"
] | null | null | null | run.py | chrisbarr/bilious-rutabaga | b2d01f03c2cce8342f11139279870156c0ebc9c9 | [
"MIT"
] | null | null | null | import bucket_lister
bucket_lister.main() | 14 | 20 | 0.857143 | import bucket_lister
bucket_lister.main() | true | true |
1c43df75a6f017476d2000ddd8cfa609911e7416 | 48,453 | py | Python | pymatgen/core/tests/test_structure.py | MahdiDavari/pymatgen | eb6cd95230c11ac761a96ebf82b98f71177bb71f | [
"MIT"
] | null | null | null | pymatgen/core/tests/test_structure.py | MahdiDavari/pymatgen | eb6cd95230c11ac761a96ebf82b98f71177bb71f | [
"MIT"
] | null | null | null | pymatgen/core/tests/test_structure.py | MahdiDavari/pymatgen | eb6cd95230c11ac761a96ebf82b98f71177bb71f | [
"MIT"
] | 1 | 2018-04-09T21:49:14.000Z | 2018-04-09T21:49:14.000Z | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
from __future__ import division, unicode_literals, print_function
from pymatgen.util.testing import PymatgenTest
from pymatgen.core.periodic_table import Element, Specie
from pymatgen.core.composition import C... | 42.878761 | 108 | 0.546137 |
from __future__ import division, unicode_literals, print_function
from pymatgen.util.testing import PymatgenTest
from pymatgen.core.periodic_table import Element, Specie
from pymatgen.core.composition import Composition
from pymatgen.core.operations import SymmOp
from pymatgen.core.structure import IStructure, Struct... | true | true |
1c43e0cada49727bd7584ef88bc5aea8845fc86a | 9,387 | py | Python | src/bondora_api/models/api_result_event_log.py | parruc/bondora_api | f36ea8d7149d75a2e5f14a695e5a4e57f0a3518d | [
"Apache-2.0"
] | 8 | 2019-03-09T20:38:27.000Z | 2021-02-10T20:44:22.000Z | src/bondora_api/models/api_result_event_log.py | parruc/bondora_api | f36ea8d7149d75a2e5f14a695e5a4e57f0a3518d | [
"Apache-2.0"
] | 1 | 2018-03-06T09:44:21.000Z | 2018-03-06T09:44:21.000Z | src/bondora_api/models/api_result_event_log.py | parruc/bondora_api | f36ea8d7149d75a2e5f14a695e5a4e57f0a3518d | [
"Apache-2.0"
] | 3 | 2019-06-03T13:44:05.000Z | 2020-11-16T13:17:38.000Z | # coding: utf-8
"""
Bondora API V1
Bondora API version 1
OpenAPI spec version: v1
Contact: investor@bondora.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance ... | 30.086538 | 132 | 0.584425 |
from pprint import pformat
from six import iteritems
import re
class ApiResultEventLog(object):
def __init__(self, page_size=None, page_nr=None, total_count=None, count=None, payload=None, success=None, errors=None):
self.swagger_types = {
'page_size': 'int',
'page_nr': 'int',
... | true | true |
1c43e0f431cee83160cd2cca89590f3101053b77 | 11,888 | py | Python | geoflow1D/GeoModule.py | HerminioTH/GeoFlow1D | 44a5c11e3297827b265c1ea44bb18256b074fa66 | [
"MIT"
] | 2 | 2020-02-10T11:23:16.000Z | 2020-07-01T20:28:57.000Z | geoflow1D/GeoModule.py | HerminioTH/GeoFlow1D | 44a5c11e3297827b265c1ea44bb18256b074fa66 | [
"MIT"
] | null | null | null | geoflow1D/GeoModule.py | HerminioTH/GeoFlow1D | 44a5c11e3297827b265c1ea44bb18256b074fa66 | [
"MIT"
] | null | null | null | def AssemblyStiffnessMatrix(linearSystem, grid, props, uShift=0):
for region in grid.getRegions():
M = props.M.getValue(region)
for e in region.getElements():
dx = e.getLength()
f = e.getFace()
bIndex = f.getBackwardVertex().getIndex() + uShift*grid.getNumberOfVer... | 46.619608 | 117 | 0.597662 | def AssemblyStiffnessMatrix(linearSystem, grid, props, uShift=0):
for region in grid.getRegions():
M = props.M.getValue(region)
for e in region.getElements():
dx = e.getLength()
f = e.getFace()
bIndex = f.getBackwardVertex().getIndex() + uShift*grid.getNumberOfVer... | true | true |
1c43e105b918ef473175c9aefbc7dbf6367f1764 | 22,146 | py | Python | lib/utils/paf_to_pose.py | kacel33/ActionAI_PC | a0528f49ea61cc07d7c1e9a3cd6846e5f50cfae7 | [
"MIT"
] | 1,311 | 2017-03-28T09:24:20.000Z | 2022-03-30T02:43:11.000Z | lib/utils/paf_to_pose.py | kacel33/ActionAI_PC | a0528f49ea61cc07d7c1e9a3cd6846e5f50cfae7 | [
"MIT"
] | 144 | 2017-05-09T16:35:40.000Z | 2022-03-25T03:14:42.000Z | lib/utils/paf_to_pose.py | kacel33/ActionAI_PC | a0528f49ea61cc07d7c1e9a3cd6846e5f50cfae7 | [
"MIT"
] | 437 | 2017-03-30T15:23:14.000Z | 2022-03-25T09:18:50.000Z | import cv2
import numpy as np
import time
from scipy.ndimage.filters import gaussian_filter, maximum_filter
from scipy.ndimage.morphology import generate_binary_structure
from lib.pafprocess import pafprocess
from lib.utils.common import Human, BodyPart, CocoPart, CocoColors, CocoPairsRender
# Heatmap indices to fin... | 54.412776 | 136 | 0.635916 | import cv2
import numpy as np
import time
from scipy.ndimage.filters import gaussian_filter, maximum_filter
from scipy.ndimage.morphology import generate_binary_structure
from lib.pafprocess import pafprocess
from lib.utils.common import Human, BodyPart, CocoPart, CocoColors, CocoPairsRender
joint_to_limb_heatmap_r... | true | true |
1c43e13d8418e3f82d49ce71c1285cf8469339e2 | 387 | py | Python | scp_epub/download/utils.py | elfakyn/scp_epub | 5d0e95d8fa0e11d9ab388c5a4083212c1c857a2f | [
"MIT"
] | 5 | 2020-05-27T15:57:15.000Z | 2021-06-11T01:08:50.000Z | scp_epub/download/utils.py | elfakyn/scp_epub | 5d0e95d8fa0e11d9ab388c5a4083212c1c857a2f | [
"MIT"
] | null | null | null | scp_epub/download/utils.py | elfakyn/scp_epub | 5d0e95d8fa0e11d9ab388c5a4083212c1c857a2f | [
"MIT"
] | 2 | 2020-11-14T04:53:51.000Z | 2021-06-12T19:28:32.000Z | import re
def filter_tags(pages, include_tags=None):
if include_tags is not None:
pages = [
page for page in pages
if 'tags' in page and any(
included_tag in page['tags'] for included_tag in include_tags
)
]
return pages
def normalize_stri... | 21.5 | 77 | 0.578811 | import re
def filter_tags(pages, include_tags=None):
if include_tags is not None:
pages = [
page for page in pages
if 'tags' in page and any(
included_tag in page['tags'] for included_tag in include_tags
)
]
return pages
def normalize_stri... | true | true |
1c43e2186ae5b7bd32f050d7f5b624c8bb3e6dc6 | 12,265 | py | Python | offb_posctl/scripts/MinimumSnapTimeNode.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | offb_posctl/scripts/MinimumSnapTimeNode.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | offb_posctl/scripts/MinimumSnapTimeNode.py | SensenLiu/aggrecup | 0c381ee259b388684205c1fa5fc41265a7e849b3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# coding=utf-8
import socket
import numpy as np
from scipy.optimize import minimize
import time
import datetime
import math
import matplotlib.pyplot as plt
import rospy
from nav_msgs.msg import Odometry
from geometry_msgs.msg import TwistStamped
from offb_posctl.msg impor... | 45.594796 | 1,439 | 0.609458 |
import socket
import numpy as np
from scipy.optimize import minimize
import time
import datetime
import math
import matplotlib.pyplot as plt
import rospy
from nav_msgs.msg import Odometry
from geometry_msgs.msg import TwistStamped
from offb_posctl.msg import controlstate
phi=1.57
ay0=0
vy0=0
y0=0
az0=0
vz0=0
z0=0.5... | true | true |
1c43e31b2a6419a99dbce0307a341681e94bc888 | 27,753 | py | Python | toontown/pickatoon/PickAToonOptions.py | cmarshall108/Project-Altis | 7ead614abdb5072ca06323982de461f4e775d1b3 | [
"Apache-2.0"
] | 1 | 2021-02-25T06:02:04.000Z | 2021-02-25T06:02:04.000Z | toontown/pickatoon/PickAToonOptions.py | AnythingTechPro/Project-Altis | 7ead614abdb5072ca06323982de461f4e775d1b3 | [
"Apache-2.0"
] | null | null | null | toontown/pickatoon/PickAToonOptions.py | AnythingTechPro/Project-Altis | 7ead614abdb5072ca06323982de461f4e775d1b3 | [
"Apache-2.0"
] | 2 | 2021-02-25T06:02:05.000Z | 2021-06-19T03:11:22.000Z | '''
Created on Apr 2, 2016
@author: Drew
'''
from direct.gui.DirectGui import *
from direct.interval.IntervalGlobal import Wait, Func, Sequence, LerpColorScaleInterval, Parallel, LerpScaleInterval
from direct.showbase.DirectObject import DirectObject
from panda3d.core import TransparencyAttrib, Point3, Vec4, TextNode... | 49.033569 | 431 | 0.644723 |
from direct.gui.DirectGui import *
from direct.interval.IntervalGlobal import Wait, Func, Sequence, LerpColorScaleInterval, Parallel, LerpScaleInterval
from direct.showbase.DirectObject import DirectObject
from panda3d.core import TransparencyAttrib, Point3, Vec4, TextNode, Vec3
from toontown.toonbase import TTLocali... | true | true |
1c43e36be51bc3b9156c0575a20c0ca5254421ba | 1,708 | py | Python | thirdParty/lxml/__init__.py | knittledan/Location_Search_Prediction | c96e3bfc0c73b646b9a7620bb1655285458fb20d | [
"MIT"
] | null | null | null | thirdParty/lxml/__init__.py | knittledan/Location_Search_Prediction | c96e3bfc0c73b646b9a7620bb1655285458fb20d | [
"MIT"
] | null | null | null | thirdParty/lxml/__init__.py | knittledan/Location_Search_Prediction | c96e3bfc0c73b646b9a7620bb1655285458fb20d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#----------------------------------------------------------------------------------------
# __init__.py initialization file for PIL
#----------------------------------------------------------------------------------------
import os
import sys
import platform
#----------------------------------... | 30.5 | 89 | 0.384075 |
import os
import sys
import platform
kMac = 0
kLinux = 1
kWindows = 2
currentDir = os.path.dirname(os.path.realpath(__file__))
version = sys.version_info[:2]
if version == (2, 7):
lxmlVersion = "lxml_py27"
if version == (3, 2):
lxmlVersion = "lxml_py32"
def getOs():
name = platform.system()
... | true | true |
1c43e4d4ab4dc301594d8265fd0f7be7719b47ae | 2,611 | py | Python | examples/plot_samples.py | AWehrhahn/exoplanet_transit_snr | f1bdaddb89e1c8b819651bcd2d80ed95d2a1fc0f | [
"MIT"
] | null | null | null | examples/plot_samples.py | AWehrhahn/exoplanet_transit_snr | f1bdaddb89e1c8b819651bcd2d80ed95d2a1fc0f | [
"MIT"
] | null | null | null | examples/plot_samples.py | AWehrhahn/exoplanet_transit_snr | f1bdaddb89e1c8b819651bcd2d80ed95d2a1fc0f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import corner
import emcee
import matplotlib.pyplot as plt
import numpy as np
from astropy import units as u
from exoorbit.orbit import Orbit
from exoplanet_transit_snr.stellardb import StellarDb
star, planet = "WASP-107", "b"
datasets = {50: "WASP-107b_SNR50", 100: "WASP-107b_SNR100", 200: "W... | 30.717647 | 105 | 0.640368 | import corner
import emcee
import matplotlib.pyplot as plt
import numpy as np
from astropy import units as u
from exoorbit.orbit import Orbit
from exoplanet_transit_snr.stellardb import StellarDb
star, planet = "WASP-107", "b"
datasets = {50: "WASP-107b_SNR50", 100: "WASP-107b_SNR100", 200: "WASP-107b_SNR200"}
sdb =... | true | true |
1c43e6f20ef928918c97de09f2b91fbfbcc389dc | 669 | py | Python | app/core/management/commands/wait_for_db.py | amirhosseyn/Django-REST | e8c031c8e5d00ae5a9a8732b7c298bb9c2afa8f9 | [
"MIT"
] | null | null | null | app/core/management/commands/wait_for_db.py | amirhosseyn/Django-REST | e8c031c8e5d00ae5a9a8732b7c298bb9c2afa8f9 | [
"MIT"
] | null | null | null | app/core/management/commands/wait_for_db.py | amirhosseyn/Django-REST | e8c031c8e5d00ae5a9a8732b7c298bb9c2afa8f9 | [
"MIT"
] | null | null | null | import time
from django.db import connections
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
class Command(BaseCommand):
"""Django command to pause execution until db is up 'n running"""
def handle(self, *args, **options):
self.stdout.write('Waiting ... | 30.409091 | 77 | 0.647235 | import time
from django.db import connections
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
class Command(BaseCommand):
def handle(self, *args, **options):
self.stdout.write('Waiting for database...')
db_conn = None
while not db_conn:
... | true | true |
1c43e74182739e0186666a6172b8f37cc901b2d5 | 11,035 | py | Python | mistral/services/scheduler.py | soda-research/mistral | 550a3de9c2defc7ce26336cb705d9c8d87bbaddd | [
"Apache-2.0"
] | 3 | 2015-08-28T04:57:56.000Z | 2017-03-27T10:59:56.000Z | mistral/services/scheduler.py | soda-research/mistral | 550a3de9c2defc7ce26336cb705d9c8d87bbaddd | [
"Apache-2.0"
] | 21 | 2015-04-14T22:41:53.000Z | 2019-02-20T09:30:10.000Z | mistral/services/scheduler.py | soda-research/mistral | 550a3de9c2defc7ce26336cb705d9c8d87bbaddd | [
"Apache-2.0"
] | 12 | 2015-08-14T02:27:37.000Z | 2020-12-31T10:09:21.000Z | # Copyright 2014 - Mirantis, Inc.
# Copyright 2015 - StackStorm, Inc.
# Copyright 2016 - Brocade Communications Systems, 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
#
# ... | 32.360704 | 79 | 0.610603 |
import copy
import datetime
import eventlet
import random
import sys
import threading
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import importutils
from mistral import context
from mistral.db import utils as db_utils
from mistral.db.v2 import api as db_api
from mistral import exc... | true | true |
1c43e8343e5b9fcf66ef7bb70fa6262538d43d26 | 1,366 | py | Python | src/room.py | ThaDeveloper/docopt_dojo | adc09fda16a84f81776a284249615aa69ebc6861 | [
"MIT"
] | null | null | null | src/room.py | ThaDeveloper/docopt_dojo | adc09fda16a84f81776a284249615aa69ebc6861 | [
"MIT"
] | 14 | 2017-11-04T09:26:08.000Z | 2017-11-13T19:24:30.000Z | src/room.py | ThaDeveloper/docopt_dojo | adc09fda16a84f81776a284249615aa69ebc6861 | [
"MIT"
] | null | null | null | class Room(object):
'''
The Room class models the rooms in Dojo and
is used as the blueprint for how the LivingSpace
and OfficeSpace classes inehrit properties such
as room_name,room_type and capacity.s
'''
def __init__(self, room_name, room_type, capacity):
self.room_type = room_ty... | 31.767442 | 79 | 0.664714 | class Room(object):
def __init__(self, room_name, room_type, capacity):
self.room_type = room_type.strip().title()
self.capacity = capacity
self.room_name = room_name.title()
self.occupants = []
def add_person(self, person):
self.occupants.append(person)
self.ca... | true | true |
1c43e8deb31d64389ccc2664be037b8b793fb6b7 | 1,425 | py | Python | app/settings/migrations/0007_default_statuses.py | mandarhan/mandarhan | 9ce38d10e536e0d3e2f907c3b5c560d66ccf8e40 | [
"MIT"
] | null | null | null | app/settings/migrations/0007_default_statuses.py | mandarhan/mandarhan | 9ce38d10e536e0d3e2f907c3b5c560d66ccf8e40 | [
"MIT"
] | 6 | 2020-02-18T03:49:09.000Z | 2022-03-12T00:10:05.000Z | app/settings/migrations/0007_default_statuses.py | mandarhan/mandarhan | 9ce38d10e536e0d3e2f907c3b5c560d66ccf8e40 | [
"MIT"
] | 1 | 2020-03-25T10:25:43.000Z | 2020-03-25T10:25:43.000Z | from django.db import migrations
DEFAULT_STATUSES = [
{
'name': 'Не подтверждено',
'color': '#ffffff',
},
{
'name': 'Отменено',
'color': '#ff0000',
},
{
'name': 'Подтверждено',
'color': '#daf9d3',
},
{
'name': 'Выезд',
'color':... | 23.360656 | 79 | 0.592281 | from django.db import migrations
DEFAULT_STATUSES = [
{
'name': 'Не подтверждено',
'color': '#ffffff',
},
{
'name': 'Отменено',
'color': '#ff0000',
},
{
'name': 'Подтверждено',
'color': '#daf9d3',
},
{
'name': 'Выезд',
'color':... | true | true |
1c43e93aec0b6c7b8788a78435e14115b15fa430 | 883 | py | Python | arjuna/tpi/guiauto/source/page.py | StefanIGit/arjuna | 6c7d9099e0d766e7b30936ef25d32c1414133b96 | [
"Apache-2.0"
] | 13 | 2020-05-12T06:32:51.000Z | 2022-01-24T18:21:19.000Z | arjuna/tpi/guiauto/source/page.py | StefanIGit/arjuna | 6c7d9099e0d766e7b30936ef25d32c1414133b96 | [
"Apache-2.0"
] | 5 | 2020-02-14T12:51:07.000Z | 2021-12-01T10:39:51.000Z | arjuna/tpi/guiauto/source/page.py | StefanIGit/arjuna | 6c7d9099e0d766e7b30936ef25d32c1414133b96 | [
"Apache-2.0"
] | 25 | 2020-01-16T10:44:25.000Z | 2022-02-24T13:22:22.000Z | # This file is a part of Arjuna
# Copyright 2015-2021 Rahul Verma
# Website: www.RahulVerma.net
# 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... | 32.703704 | 74 | 0.745187 |
from arjuna.tpi.tracker import track
from .base import SingleGuiEntitySource
class GuiPageSource(SingleGuiEntitySource):
def __init__(self, raw_source):
super().__init__(raw_source) | true | true |
1c43e9d6ffce0cb69156cdc14c9713e3fe44aeb5 | 1,048 | py | Python | Crawler/crawlerpchome.py | 2017HackNTU/J94FintechLa | 85018fae23cff1d64f3c95c1e0f9c312dd47eade | [
"MIT"
] | null | null | null | Crawler/crawlerpchome.py | 2017HackNTU/J94FintechLa | 85018fae23cff1d64f3c95c1e0f9c312dd47eade | [
"MIT"
] | null | null | null | Crawler/crawlerpchome.py | 2017HackNTU/J94FintechLa | 85018fae23cff1d64f3c95c1e0f9c312dd47eade | [
"MIT"
] | null | null | null | import requests
from selenium import webdriver
from lxml import etree
import re
import csv
import sys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
# reference: http://tw.pyladies.com/~marsw/crawler02.slides.html#/3
# change to mobile website
# url = sys.argv[1]
# match = re.split(r'\?... | 26.871795 | 87 | 0.678435 | import requests
from selenium import webdriver
from lxml import etree
import re
import csv
import sys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
driver = webdriver.PhantomJS(executable_path=r'path_to_phantomjs/bin/phantomjs')
driver.get(url)
pageSource = driver.page_source
driver.c... | true | true |
1c43eae2870d470e535993d01691bd86de721d61 | 714 | py | Python | example/mulit_sleep.py | zhzLuke96/Yoi | 8f5a0b6881c540aab71b8a360002b4d1e9de869a | [
"MIT"
] | null | null | null | example/mulit_sleep.py | zhzLuke96/Yoi | 8f5a0b6881c540aab71b8a360002b4d1e9de869a | [
"MIT"
] | null | null | null | example/mulit_sleep.py | zhzLuke96/Yoi | 8f5a0b6881c540aab71b8a360002b4d1e9de869a | [
"MIT"
] | null | null | null | from yoi.application import Application
import time
app = Application()
@app.router(r"^/sleep/(.+)/?$", methods=["GET"])
def index(request,timer):
time.sleep(int(timer))
return f"server sleep {timer}s"
@app.router(r"^/do/?$", methods=["GET"])
def index():
return f"server do something"
if __name__ == '... | 23.032258 | 59 | 0.635854 | from yoi.application import Application
import time
app = Application()
@app.router(r"^/sleep/(.+)/?$", methods=["GET"])
def index(request,timer):
time.sleep(int(timer))
return f"server sleep {timer}s"
@app.router(r"^/do/?$", methods=["GET"])
def index():
return f"server do something"
if __name__ == '... | true | true |
1c43eb9d91553b0505a12be5e48dae5a530b845e | 55,590 | py | Python | nitro/resource/config/ns/nsip.py | HanseMerkur/nitro-python | d03eb11f492a35a2a8b2a140322fbce22d25a8f7 | [
"Apache-2.0"
] | 2 | 2020-08-24T18:04:22.000Z | 2020-08-24T18:04:47.000Z | nitro/resource/config/ns/nsip.py | HanseMerkur/nitro-python | d03eb11f492a35a2a8b2a140322fbce22d25a8f7 | [
"Apache-2.0"
] | null | null | null | nitro/resource/config/ns/nsip.py | HanseMerkur/nitro-python | d03eb11f492a35a2a8b2a140322fbce22d25a8f7 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2008-2015 Citrix Systems, 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 l... | 39.792412 | 320 | 0.595215 |
from nitro.resource.base.base_resource import base_resource
from nitro.resource.base.base_resource import base_response
from nitro.service.options import options
from nitro.exception.nitro_exception import nitro_exception
from nitro.util.nitro_util import nitro_util
class nsip(base_resource) :
def __init__(self)... | true | true |
1c43ec75bb5086504e75a9f3c53c197ac7943cec | 27,444 | py | Python | pytorch_lightning/metrics/functional/classification.py | rwbfd/pytorch-lightning | f518ee6e25d1499f73cec86ca8b3f584d0fa440d | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/metrics/functional/classification.py | rwbfd/pytorch-lightning | f518ee6e25d1499f73cec86ca8b3f584d0fa440d | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/metrics/functional/classification.py | rwbfd/pytorch-lightning | f518ee6e25d1499f73cec86ca8b3f584d0fa440d | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 35.411613 | 119 | 0.606872 | from functools import wraps
from typing import Callable, Optional, Sequence, Tuple
import torch
from torch.nn import functional as F
from pytorch_lightning.metrics.utils import to_categorical, get_num_classes, reduce, class_reduce
from pytorch_lightning.utilities import rank_zero_warn
def stat_scores(
pred:... | true | true |
1c43ed7d220ae5c354a0880adcfe135d8c75bc34 | 533 | py | Python | apps/discovery_pyre/setup.py | danieldUKIM/uniflex_wishrem | 44ca1cfaafc33a83e856dbf9eaf9c1b83d0a477b | [
"Apache-2.0"
] | null | null | null | apps/discovery_pyre/setup.py | danieldUKIM/uniflex_wishrem | 44ca1cfaafc33a83e856dbf9eaf9c1b83d0a477b | [
"Apache-2.0"
] | null | null | null | apps/discovery_pyre/setup.py | danieldUKIM/uniflex_wishrem | 44ca1cfaafc33a83e856dbf9eaf9c1b83d0a477b | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
def readme():
with open('README.md') as f:
return f.read()
setup(
name='uniflex_app_discovery_pyre',
version='0.1.0',
packages=find_packages(),
url='https://github.com/uniflex',
license='',
author='Piotr Gawlowicz',
author_email='ga... | 24.227273 | 69 | 0.679174 | from setuptools import setup, find_packages
def readme():
with open('README.md') as f:
return f.read()
setup(
name='uniflex_app_discovery_pyre',
version='0.1.0',
packages=find_packages(),
url='https://github.com/uniflex',
license='',
author='Piotr Gawlowicz',
author_email='ga... | true | true |
1c43edf8164ff697a3643279f919165a53782629 | 3,027 | py | Python | analysis/ShowerLLH/reco-vs-true-containment.py | jrbourbeau/composition | f8debd81b0467a6094d5ba56a5f0fc6047369d30 | [
"MIT"
] | null | null | null | analysis/ShowerLLH/reco-vs-true-containment.py | jrbourbeau/composition | f8debd81b0467a6094d5ba56a5f0fc6047369d30 | [
"MIT"
] | 7 | 2017-08-29T16:20:04.000Z | 2018-06-12T16:58:36.000Z | analysis/ShowerLLH/reco-vs-true-containment.py | jrbourbeau/composition | f8debd81b0467a6094d5ba56a5f0fc6047369d30 | [
"MIT"
] | 1 | 2018-04-03T20:56:40.000Z | 2018-04-03T20:56:40.000Z | #!/usr/bin/env python
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import argparse
import seaborn.apionly as sns
import composition.support_functions.paths as paths
from composition.support_functions.checkdir import checkdir
from composition.analysis.lo... | 36.914634 | 87 | 0.620747 |
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import argparse
import seaborn.apionly as sns
import composition.support_functions.paths as paths
from composition.support_functions.checkdir import checkdir
from composition.analysis.load_sim import load_sim... | true | true |
1c43ef84bcf1442ec9423ec76142e69ad5abe1c0 | 8,496 | py | Python | moto/awslambda/responses.py | kitagawa-hr/moto | 97408552a323af27d9b755e5456888c496a3739d | [
"Apache-2.0"
] | 1 | 2019-07-09T17:53:48.000Z | 2019-07-09T17:53:48.000Z | moto/awslambda/responses.py | kitagawa-hr/moto | 97408552a323af27d9b755e5456888c496a3739d | [
"Apache-2.0"
] | null | null | null | moto/awslambda/responses.py | kitagawa-hr/moto | 97408552a323af27d9b755e5456888c496a3739d | [
"Apache-2.0"
] | 1 | 2019-03-22T16:06:53.000Z | 2019-03-22T16:06:53.000Z | from __future__ import unicode_literals
import json
try:
from urllib import unquote
except ImportError:
from urllib.parse import unquote
from moto.core.utils import amz_crc32, amzn_request_id, path_url
from moto.core.responses import BaseResponse
from .models import lambda_backends
class LambdaResponse(Bas... | 34.819672 | 103 | 0.608639 | from __future__ import unicode_literals
import json
try:
from urllib import unquote
except ImportError:
from urllib.parse import unquote
from moto.core.utils import amz_crc32, amzn_request_id, path_url
from moto.core.responses import BaseResponse
from .models import lambda_backends
class LambdaResponse(Bas... | true | true |
1c43efd4690d44c896278c222e4064eae7a1c463 | 766 | py | Python | chalicelib/filter.py | uchimanajet7/reacjilator-chalice | 338daf544432f669f9bd6e78cf91d4363d6b914f | [
"MIT"
] | null | null | null | chalicelib/filter.py | uchimanajet7/reacjilator-chalice | 338daf544432f669f9bd6e78cf91d4363d6b914f | [
"MIT"
] | 1 | 2017-12-17T09:35:24.000Z | 2017-12-18T01:26:54.000Z | chalicelib/filter.py | uchimanajet7/reacjilator-chalice | 338daf544432f669f9bd6e78cf91d4363d6b914f | [
"MIT"
] | null | null | null | # List of channels you want to translate.
import os
import json
class Filter:
def __init__(self):
self.dict_filter = self.__open_json_file__('filter.json')
def __open_json_file__(self, file_name):
try:
dir_name = os.path.dirname(os.path.abspath(__file__))
path = os.pat... | 23.9375 | 65 | 0.571802 | import os
import json
class Filter:
def __init__(self):
self.dict_filter = self.__open_json_file__('filter.json')
def __open_json_file__(self, file_name):
try:
dir_name = os.path.dirname(os.path.abspath(__file__))
path = os.path.join(dir_name, file_name)
wi... | true | true |
1c43f070abcedc58bf17a00a3203fb43ef6b40c7 | 20 | py | Python | sdk/python-sdk/verity_sdk/protocols/v0_7/__init__.py | tw-bc-group/verity-sdk | e932209ab849f04a389bdda0718cd6227187e5cf | [
"Apache-2.0"
] | 40 | 2020-07-09T01:52:31.000Z | 2022-02-19T04:01:23.000Z | sdk/python-sdk/verity_sdk/protocols/v0_7/__init__.py | tw-bc-group/verity-sdk | e932209ab849f04a389bdda0718cd6227187e5cf | [
"Apache-2.0"
] | 45 | 2020-06-19T11:00:20.000Z | 2022-03-02T14:48:12.000Z | sdk/python-sdk/verity_sdk/protocols/v0_7/__init__.py | tw-bc-group/verity-sdk | e932209ab849f04a389bdda0718cd6227187e5cf | [
"Apache-2.0"
] | 37 | 2020-06-19T10:37:04.000Z | 2022-03-15T14:06:40.000Z | """0.7 Protocols"""
| 10 | 19 | 0.55 | true | true | |
1c43f09b4f119c9983b09c54d4a22142b88b1195 | 3,909 | py | Python | pong/2_pong_singlecubebouncing.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | null | null | null | pong/2_pong_singlecubebouncing.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | null | null | null | pong/2_pong_singlecubebouncing.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | null | null | null | import sys
import math
import random
import pygame
from pygame.locals import *
import tkinter as tk
from tkinter import messagebox
clock = pygame.time.Clock()
WHITE = (255,255,255)
BLACK = (0,0,0)
RED = (255,0,0)
#--------------------------draw grid fuction----------------------------
def drawGrid(w,rows,surface):
"... | 27.723404 | 88 | 0.553083 | import sys
import math
import random
import pygame
from pygame.locals import *
import tkinter as tk
from tkinter import messagebox
clock = pygame.time.Clock()
WHITE = (255,255,255)
BLACK = (0,0,0)
RED = (255,0,0)
def drawGrid(w,rows,surface):
sizeBtwn = w // rows
x = 0
y = 0
for l in range(rows):
x = x + siz... | true | true |
1c43f0cb68057fe546f78196c9cc49dd1da135d3 | 6,696 | py | Python | source/minefield.py | BastiHz/Minefields | 46bb66cb3a809f6d21d7811e9a7df214be044fbd | [
"MIT"
] | 1 | 2021-02-22T15:32:31.000Z | 2021-02-22T15:32:31.000Z | source/minefield.py | BastiHz/Minefields | 46bb66cb3a809f6d21d7811e9a7df214be044fbd | [
"MIT"
] | null | null | null | source/minefield.py | BastiHz/Minefields | 46bb66cb3a809f6d21d7811e9a7df214be044fbd | [
"MIT"
] | null | null | null | import random
import pygame as pg
import prepare
class Minefield:
def __init__(self, width, height, number_of_mines):
self.width = width
self.height = height
self.num_mines = number_of_mines
self.tiles = prepare.minefield_tiles
self.tile_size = prepare.MINEFIELD_TILE_SIZ... | 39.621302 | 80 | 0.538082 | import random
import pygame as pg
import prepare
class Minefield:
def __init__(self, width, height, number_of_mines):
self.width = width
self.height = height
self.num_mines = number_of_mines
self.tiles = prepare.minefield_tiles
self.tile_size = prepare.MINEFIELD_TILE_SIZ... | true | true |
1c43f0d5386fd740efb998b838ef3980fb5d15bf | 7,728 | py | Python | torchreid/models/squeezenet.py | qw85639229/hardest | ef86536dbbe1089248e34afbbb7bb513f97f58f1 | [
"MIT"
] | 21 | 2020-10-13T01:33:31.000Z | 2022-01-04T15:58:31.000Z | torchreid/models/squeezenet.py | qw85639229/hardest | ef86536dbbe1089248e34afbbb7bb513f97f58f1 | [
"MIT"
] | 10 | 2020-11-18T07:40:22.000Z | 2021-10-05T07:58:25.000Z | torchreid/models/squeezenet.py | qw85639229/hardest | ef86536dbbe1089248e34afbbb7bb513f97f58f1 | [
"MIT"
] | 7 | 2020-11-19T08:40:27.000Z | 2022-02-05T06:24:08.000Z | """
Code source: https://github.com/pytorch/vision
"""
from __future__ import absolute_import
from __future__ import division
__all__ = [
'squeezenet1_0',
'squeezenet1_1',
'squeezenet1_0_fc512'
]
from collections import OrderedDict
import math
import torch
import torch.nn as nn
from torch.utils import mo... | 33.454545 | 123 | 0.583075 | from __future__ import absolute_import
from __future__ import division
__all__ = [
'squeezenet1_0',
'squeezenet1_1',
'squeezenet1_0_fc512'
]
from collections import OrderedDict
import math
import torch
import torch.nn as nn
from torch.utils import model_zoo
from torch.nn import functional as F
import tor... | true | true |
1c43f0f37d381ccc50b76c9a1eb0cc96c6d62613 | 10,065 | py | Python | DPDNet/image_to_patch_filter.py | Abdullah-Abuolaim/defocus-deblurring-dual-pixel | 21a43e7d12350c62c4038485cdeebc27a078765b | [
"MIT"
] | 115 | 2020-05-01T22:51:14.000Z | 2022-03-12T13:18:37.000Z | DPDNet/image_to_patch_filter.py | panpanfei/defocus-deblurring-dual-pixel | 8c1b812236d2eb3293b670512ef35e20471e2e48 | [
"MIT"
] | 14 | 2020-05-12T03:38:57.000Z | 2021-06-01T15:02:04.000Z | DPDNet/image_to_patch_filter.py | Abdullah-Abuolaim/defocus-deblurring-dual-pixel | 21a43e7d12350c62c4038485cdeebc27a078765b | [
"MIT"
] | 13 | 2020-06-28T08:25:09.000Z | 2022-02-28T16:10:46.000Z | """
This code is used to extract image patches from the training and validation
sets as described in the paper. For the training set patches, we discard 30%
of the patches that have the lowest sharpness energy. Recall that we don't
extract patches for test images because we process full image at test time.
Copyright (... | 56.544944 | 187 | 0.719424 |
import numpy as np
import os
import cv2
import errno
from copy import deepcopy
def check_create_directory(path_to_check):
if not os.path.exists(path_to_check):
try:
os.makedirs(path_to_check)
except OSError as exc: if exc.errno != errno.EEXIST:
raise
def sh... | true | true |
1c43f2f1279c5e8aee0def23c69b53b4bb131a33 | 556 | py | Python | examples/server/asgi/simple.py | 13g10n/python-engineio | e882f5949bdd1618d97b0cade18a7e8af8670b41 | [
"MIT"
] | 208 | 2015-06-22T00:44:53.000Z | 2022-02-13T16:39:14.000Z | examples/server/asgi/simple.py | 13g10n/python-engineio | e882f5949bdd1618d97b0cade18a7e8af8670b41 | [
"MIT"
] | 241 | 2015-08-12T06:15:40.000Z | 2022-03-18T19:17:46.000Z | examples/server/asgi/simple.py | 13g10n/python-engineio | e882f5949bdd1618d97b0cade18a7e8af8670b41 | [
"MIT"
] | 153 | 2015-08-08T15:40:45.000Z | 2022-03-29T14:26:32.000Z | import os
import uvicorn
import engineio
eio = engineio.AsyncServer(async_mode='asgi')
app = engineio.ASGIApp(eio, static_files={
'/': 'simple.html',
'/static': 'static',
})
@eio.on('connect')
def connect(sid, environ):
print("connect ", sid)
@eio.on('message')
async def message(sid, data):
print(... | 17.935484 | 54 | 0.656475 | import os
import uvicorn
import engineio
eio = engineio.AsyncServer(async_mode='asgi')
app = engineio.ASGIApp(eio, static_files={
'/': 'simple.html',
'/static': 'static',
})
@eio.on('connect')
def connect(sid, environ):
print("connect ", sid)
@eio.on('message')
async def message(sid, data):
print(... | true | true |
1c43f3b270474db102bfa0c81625d0a5e1cecaa3 | 2,053 | py | Python | budgetportal/tests/test_guides_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | budgetportal/tests/test_guides_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | budgetportal/tests/test_guides_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | from django.core.files.images import ImageFile
from django.test import Client, TestCase
from budgetportal.models import GuideIndexPage, GuidePage, CategoryGuide
class GuideIndexPageTestCase(TestCase):
fixtures = ["test-guides-pages"]
def setUp(self):
self.guide_index_page = GuideIndexPage.objects.get... | 40.254902 | 97 | 0.702874 | from django.core.files.images import ImageFile
from django.test import Client, TestCase
from budgetportal.models import GuideIndexPage, GuidePage, CategoryGuide
class GuideIndexPageTestCase(TestCase):
fixtures = ["test-guides-pages"]
def setUp(self):
self.guide_index_page = GuideIndexPage.objects.get... | true | true |
1c43f415944cc54adda6eed157b9ba14a13830c1 | 948 | py | Python | lupdate_xml.py | Skycoder42/QtMvvmSettingsCore | 4489151d3e7de940790c5a93041c7381799f695a | [
"BSD-3-Clause"
] | null | null | null | lupdate_xml.py | Skycoder42/QtMvvmSettingsCore | 4489151d3e7de940790c5a93041c7381799f695a | [
"BSD-3-Clause"
] | null | null | null | lupdate_xml.py | Skycoder42/QtMvvmSettingsCore | 4489151d3e7de940790c5a93041c7381799f695a | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Usage: lupdate_xml.py bindir srcdir locales(space seperated) xml_sources...
import sys
import os
import subprocess
from xml.etree.ElementTree import Element, parse
bindir = sys.argv[1]
srcdir = sys.argv[2]
srces = sys.argv[3:]
os.chdir(srcdir)
tsmap = {}
for src in srces:
trstrings = set()... | 23.7 | 84 | 0.690928 |
import sys
import os
import subprocess
from xml.etree.ElementTree import Element, parse
bindir = sys.argv[1]
srcdir = sys.argv[2]
srces = sys.argv[3:]
os.chdir(srcdir)
tsmap = {}
for src in srces:
trstrings = set()
tree = parse(src)
root = Element("TS")
for elem in tree.iter():
if elem.tag == "SearchKey":
... | true | true |
1c43f45217488b9d1f345b843dcd9e4b6f84640c | 990 | py | Python | 6.py | andy0130tw/advent-of-code-2019 | aeaeb50db3170e619aef41756ce0608793a64baa | [
"Unlicense"
] | null | null | null | 6.py | andy0130tw/advent-of-code-2019 | aeaeb50db3170e619aef41756ce0608793a64baa | [
"Unlicense"
] | null | null | null | 6.py | andy0130tw/advent-of-code-2019 | aeaeb50db3170e619aef41756ce0608793a64baa | [
"Unlicense"
] | null | null | null |
def rec_sum(root, depth):
ans = depth
for el in root.values():
ans += rec_sum(el, depth + 1)
return ans
def find_path(root, target):
for lab, sub in root.items():
if lab == target:
return [lab]
res = find_path(sub, target)
if res:
return [lab, *... | 19.038462 | 49 | 0.489899 |
def rec_sum(root, depth):
ans = depth
for el in root.values():
ans += rec_sum(el, depth + 1)
return ans
def find_path(root, target):
for lab, sub in root.items():
if lab == target:
return [lab]
res = find_path(sub, target)
if res:
return [lab, *... | true | true |
1c43f58337d7879e5d18e9e1149c4866747fbd4d | 926 | py | Python | src/partition_set_into_equal_sum.py | redfast00/daily-algorithm-challenge | 3507164d5ec58abe68a6e820120625e100dee96c | [
"MIT"
] | null | null | null | src/partition_set_into_equal_sum.py | redfast00/daily-algorithm-challenge | 3507164d5ec58abe68a6e820120625e100dee96c | [
"MIT"
] | null | null | null | src/partition_set_into_equal_sum.py | redfast00/daily-algorithm-challenge | 3507164d5ec58abe68a6e820120625e100dee96c | [
"MIT"
] | null | null | null | from collections import Counter
from get_subset_sum import subset_sum
def partition_into_equal_parts(l):
'''Partitions s into two subsets of l that have the same sum.
>>> problem = [15, 5, 20, 10, 35, 25, 10]
>>> first, second = partition_into_equal_parts(problem)
>>> valid_solution(first, second, pr... | 30.866667 | 93 | 0.654428 | from collections import Counter
from get_subset_sum import subset_sum
def partition_into_equal_parts(l):
total = sum(l)
if total % 2:
return
first = subset_sum(total // 2, l)
if first is None:
return
second = []
second_counter = Counter(l) - Counter(first)
for numbe... | true | true |
1c43f593ad0ffdb5320aa7b3fb8d314b549d0517 | 1,804 | py | Python | colorize_sky.py | kcotar/Stellar_abudance_trees | 1a4377ef53a4b4c8df1be860598a70be31626110 | [
"MIT"
] | null | null | null | colorize_sky.py | kcotar/Stellar_abudance_trees | 1a4377ef53a4b4c8df1be860598a70be31626110 | [
"MIT"
] | null | null | null | colorize_sky.py | kcotar/Stellar_abudance_trees | 1a4377ef53a4b4c8df1be860598a70be31626110 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
def _prepare_ra_dec(data):
ra = data['ra']
idx_trans = ra > 180
if len(idx_trans) > 0:
ra[idx_trans] -= 360
ra = np.deg2rad(ra)
dec = np.deg2rad(data['dec'])
return ra, dec
def plot_ra_dec_loc... | 30.066667 | 73 | 0.616962 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
def _prepare_ra_dec(data):
ra = data['ra']
idx_trans = ra > 180
if len(idx_trans) > 0:
ra[idx_trans] -= 360
ra = np.deg2rad(ra)
dec = np.deg2rad(data['dec'])
return ra, dec
def plot_ra_dec_loc... | true | true |
1c43f730fff18adef3c514b8dfe4a98cff45a408 | 4,124 | py | Python | test/coreneuron/test_spikes.py | ishandutta2007/nrn | 418d42fb7afc0ebb06138b80e511c8ae716dcad0 | [
"BSD-3-Clause"
] | null | null | null | test/coreneuron/test_spikes.py | ishandutta2007/nrn | 418d42fb7afc0ebb06138b80e511c8ae716dcad0 | [
"BSD-3-Clause"
] | null | null | null | test/coreneuron/test_spikes.py | ishandutta2007/nrn | 418d42fb7afc0ebb06138b80e511c8ae716dcad0 | [
"BSD-3-Clause"
] | null | null | null | import distutils.util
import os
import sys
# Hacky, but it's non-trivial to pass commandline arguments to pytest tests.
enable_gpu = bool(
distutils.util.strtobool(os.environ.get("CORENRN_ENABLE_GPU", "false"))
)
mpi4py_option = bool(
distutils.util.strtobool(os.environ.get("NRN_TEST_SPIKES_MPI4PY", "false"))
... | 26.606452 | 87 | 0.629243 | import distutils.util
import os
import sys
enable_gpu = bool(
distutils.util.strtobool(os.environ.get("CORENRN_ENABLE_GPU", "false"))
)
mpi4py_option = bool(
distutils.util.strtobool(os.environ.get("NRN_TEST_SPIKES_MPI4PY", "false"))
)
file_mode_option = bool(
distutils.util.strtobool(os.environ.get("NRN_T... | true | true |
1c43f74e70b164c0121e3a9b4edda8f51bbb7dec | 984 | py | Python | python_Project/Day_16-20/Day_16-20_Sort&Search_Algorithms/Cocktail_sort.py | Zzz-ww/Python-prac | c97f2c16b74a2c1df117f377a072811cc596f98b | [
"MIT"
] | null | null | null | python_Project/Day_16-20/Day_16-20_Sort&Search_Algorithms/Cocktail_sort.py | Zzz-ww/Python-prac | c97f2c16b74a2c1df117f377a072811cc596f98b | [
"MIT"
] | null | null | null | python_Project/Day_16-20/Day_16-20_Sort&Search_Algorithms/Cocktail_sort.py | Zzz-ww/Python-prac | c97f2c16b74a2c1df117f377a072811cc596f98b | [
"MIT"
] | null | null | null | """
双向冒泡：
冒泡排序，每次都是从左往右，交换相邻的元素，从而达到循环一边可以把最大的元素放在右边。
而双向冒泡排序，在完成一次从左往右的冒泡排序后，再从右往左进行冒泡，从而把小的元素放在左边。
下面这张图可以很好地表达：
"""
def bubble_sort(origin_items):
"""高质量冒泡排序(搅拌排序)/双向冒泡排序"""
comp = lambda x, y: x > y
items = origin_items[:]
for i in range(len(items) - 1):
swapped = False # 这个标志位也是可以放到简单冒... | 27.333333 | 73 | 0.530488 |
def bubble_sort(origin_items):
comp = lambda x, y: x > y
items = origin_items[:]
for i in range(len(items) - 1):
swapped = False for j in range(i, len(items) - 1 - i): if comp(items[j], items[j + 1]):
items[j], items[j + 1] = items[j + 1], items[j]
... | true | true |
1c43f7cc88953082721b55d83771cbbd3042f65b | 1,154 | py | Python | check_generated_geometry.py | hyuanmech/MOPSO | f2cbe9151d9dbd21b562957b368f22e2648232b9 | [
"MIT"
] | null | null | null | check_generated_geometry.py | hyuanmech/MOPSO | f2cbe9151d9dbd21b562957b368f22e2648232b9 | [
"MIT"
] | null | null | null | check_generated_geometry.py | hyuanmech/MOPSO | f2cbe9151d9dbd21b562957b368f22e2648232b9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 23 16:05:17 2020
@author: yuanh
"""
import os
import shutil
from openpyxl import load_workbook
import numpy as np
it = 6
flag = 0
nPop = 100
if flag == 1:
n = 9
index = np.zeros((n, 1))
wb = load_workbook('Positions.xlsx')
sheet ... | 28.85 | 146 | 0.587522 |
import os
import shutil
from openpyxl import load_workbook
import numpy as np
it = 6
flag = 0
nPop = 100
if flag == 1:
n = 9
index = np.zeros((n, 1))
wb = load_workbook('Positions.xlsx')
sheet = wb['2_mu']
for i in range(n):
index[i,0] = sheet.cell(row=i+2,column=1).va... | true | true |
1c43fa14320229168e0e657e1dda3761504a32b4 | 992 | py | Python | guillotina/tests/test_middlewares.py | psanlorenzo/guillotina | 0840cf39914d23a9e26e35bd40939511d3ca78d7 | [
"BSD-2-Clause"
] | null | null | null | guillotina/tests/test_middlewares.py | psanlorenzo/guillotina | 0840cf39914d23a9e26e35bd40939511d3ca78d7 | [
"BSD-2-Clause"
] | null | null | null | guillotina/tests/test_middlewares.py | psanlorenzo/guillotina | 0840cf39914d23a9e26e35bd40939511d3ca78d7 | [
"BSD-2-Clause"
] | null | null | null | import asyncio
import pytest
import time
class AsgiMiddlewate:
def __init__(self, app):
self.next_app = app
async def __call__(self, scope, receive, send):
start = time.time()
await asyncio.sleep(0.1)
response = await self.next_app(scope, receive, send)
end = time.time... | 31 | 96 | 0.633065 | import asyncio
import pytest
import time
class AsgiMiddlewate:
def __init__(self, app):
self.next_app = app
async def __call__(self, scope, receive, send):
start = time.time()
await asyncio.sleep(0.1)
response = await self.next_app(scope, receive, send)
end = time.time... | true | true |
1c43fa71bbb82846c555d0bca310adf074f93a62 | 2,024 | py | Python | third_party/tests/Opentitan/util/tlgen/item.py | parzival3/Surelog | cf126533ebfb2af7df321057af9e3535feb30487 | [
"Apache-2.0"
] | 156 | 2019-11-16T17:29:55.000Z | 2022-01-21T05:41:13.000Z | third_party/tests/Opentitan/util/tlgen/item.py | parzival3/Surelog | cf126533ebfb2af7df321057af9e3535feb30487 | [
"Apache-2.0"
] | 414 | 2021-06-11T07:22:01.000Z | 2022-03-31T22:06:14.000Z | third_party/tests/Opentitan/util/tlgen/item.py | parzival3/Surelog | cf126533ebfb2af7df321057af9e3535feb30487 | [
"Apache-2.0"
] | 30 | 2019-11-18T16:31:40.000Z | 2021-12-26T01:22:51.000Z | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
from enum import Enum
class Edge:
"""Edge class contains the connection from a node to a node.
a Node can be a host port, output of async_fifo, port in a socket,... | 26.986667 | 74 | 0.630929 |
from enum import Enum
class Edge:
def __init__(self, us, ds):
self.us = us
self.ds = ds
def __repr__(self):
return "U(%s) D(%s)" % (self.us.name, self.ds.name)
class NodeType(Enum):
HOST = 1
DEVICE = 2
ASYNC_FIFO = 3
SOCKET_1N = 4
SOCKET_M1 = 5
class Node:
... | true | true |
1c43fba068f52e1707fd9f7186978e03b366e299 | 1,960 | py | Python | cli/tests/test_cli.py | SophieHerbst/mne-bids | 0e9b5e261668b90efec28359772f321d999af7d7 | [
"BSD-3-Clause"
] | null | null | null | cli/tests/test_cli.py | SophieHerbst/mne-bids | 0e9b5e261668b90efec28359772f321d999af7d7 | [
"BSD-3-Clause"
] | null | null | null | cli/tests/test_cli.py | SophieHerbst/mne-bids | 0e9b5e261668b90efec28359772f321d999af7d7 | [
"BSD-3-Clause"
] | null | null | null | """Test command line."""
# Authors: Teon L Brooks <teon.brooks@gmail.com>
# Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#
# License: BSD (3-clause)
from os import path as op
import pytest
import mne
from mne.datasets import testing
from mne.utils import run_tests_if_main, ArgvSetter
from cli import mne_b... | 27.222222 | 73 | 0.642347 | from os import path as op
import pytest
import mne
from mne.datasets import testing
from mne.utils import run_tests_if_main, ArgvSetter
from cli import mne_bids_raw_to_bids, mne_bids_cp
base_path = op.join(op.dirname(mne.__file__), 'io')
subject_id = '01'
task = 'testing'
def check_usage(module, force_help=False):... | true | true |
1c43fc03ab33ea2e19164c0644663693552fe20d | 17,011 | py | Python | opics/utils.py | jaspreetj/opics | 037ed93ad9f6c9ad9fec5feb214bb89de24635f0 | [
"MIT"
] | null | null | null | opics/utils.py | jaspreetj/opics | 037ed93ad9f6c9ad9fec5feb214bb89de24635f0 | [
"MIT"
] | null | null | null | opics/utils.py | jaspreetj/opics | 037ed93ad9f6c9ad9fec5feb214bb89de24635f0 | [
"MIT"
] | null | null | null | from typing import Any, Dict, List, Tuple
import cmath as cm
import time
import re
import itertools
import inspect
from copy import deepcopy
import numpy as np
from numpy import ndarray
from pathlib import PosixPath
from defusedxml.ElementTree import parse
def fromSI(value: str) -> float:
"""converts from SI unit... | 35.146694 | 141 | 0.479043 | from typing import Any, Dict, List, Tuple
import cmath as cm
import time
import re
import itertools
import inspect
from copy import deepcopy
import numpy as np
from numpy import ndarray
from pathlib import PosixPath
from defusedxml.ElementTree import parse
def fromSI(value: str) -> float:
return float(value.repla... | true | true |
1c43fd68b8e8426feafb7efe2b494da8cef3208e | 16,870 | py | Python | django_extensions/management/modelviz.py | echirchir/django-extensions | ae38e33309b87bf7431bc5f1321699f5d00a0431 | [
"MIT"
] | null | null | null | django_extensions/management/modelviz.py | echirchir/django-extensions | ae38e33309b87bf7431bc5f1321699f5d00a0431 | [
"MIT"
] | null | null | null | django_extensions/management/modelviz.py | echirchir/django-extensions | ae38e33309b87bf7431bc5f1321699f5d00a0431 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
modelviz.py - DOT file generator for Django Models
Based on:
Django model to DOT (Graphviz) converter
by Antonio Cavedoni <antonio@cavedoni.org>
Adapted to be used with django-extensions
"""
import datetime
import os
import re
import six
from django.apps import apps
from django.db.m... | 38.960739 | 142 | 0.605809 |
import datetime
import os
import re
import six
from django.apps import apps
from django.db.models.fields.related import (
ForeignKey, ManyToManyField, OneToOneField, RelatedField,
)
from django.contrib.contenttypes.fields import GenericRelation
from django.template import Context, Template, loader
from django.uti... | true | true |
1c43fdcc16345073c0458921b47d255ef287bd2e | 103 | py | Python | edag/cli/__init__.py | sodre/edag-cli | f1f88fd749b3e8a94c93afa6ae78e8cb5fc84436 | [
"BSD-3-Clause"
] | null | null | null | edag/cli/__init__.py | sodre/edag-cli | f1f88fd749b3e8a94c93afa6ae78e8cb5fc84436 | [
"BSD-3-Clause"
] | 4 | 2019-12-13T05:35:15.000Z | 2019-12-30T21:07:14.000Z | edag/cli/__init__.py | sodre/edag-cli | f1f88fd749b3e8a94c93afa6ae78e8cb5fc84436 | [
"BSD-3-Clause"
] | null | null | null | """Top-level package for ElasticDAG CLI."""
from ._version import version as __version__ # noqa: F401
| 34.333333 | 58 | 0.747573 | from ._version import version as __version__ | true | true |
1c43fe5c5576e93119229d732edb22ae2f787b24 | 8,554 | py | Python | applications/systems_of_equations_ex2/script/exodus_data_extraction.py | ElsevierSoftwareX/SOFTX_2019_102 | 123c4b3988ef2fb86b49a247b8431dc94a89eded | [
"MIT"
] | null | null | null | applications/systems_of_equations_ex2/script/exodus_data_extraction.py | ElsevierSoftwareX/SOFTX_2019_102 | 123c4b3988ef2fb86b49a247b8431dc94a89eded | [
"MIT"
] | null | null | null | applications/systems_of_equations_ex2/script/exodus_data_extraction.py | ElsevierSoftwareX/SOFTX_2019_102 | 123c4b3988ef2fb86b49a247b8431dc94a89eded | [
"MIT"
] | null | null | null | import sys, os
#### import the simple module from the paraview
from paraview.simple import *
if __name__ == "__main__" and len(sys.argv) > 1:
time_step = int(sys.argv[1])
#### disable automatic camera reset on 'Show'
paraview.simple._DisableFirstRenderCameraReset()
# create a new 'ExodusIIReader'
... | 49.445087 | 452 | 0.655483 | import sys, os
from paraview.simple import *
if __name__ == "__main__" and len(sys.argv) > 1:
time_step = int(sys.argv[1])
paraview.simple._DisableFirstRenderCameraReset()
oute = ExodusIIReader(FileName=['./out.e'])
timestep_values = oute.TimestepValues
oute.PointVariables = []
oute.S... | true | true |
1c43fefda8a6cb0284260eadeb99ad911c49bee5 | 3,177 | py | Python | gala/potential/potential/builtin/pybuiltin.py | akeemlh/gala | 0fdaf9159bccc59af2a3525f2926e04501754f48 | [
"MIT"
] | null | null | null | gala/potential/potential/builtin/pybuiltin.py | akeemlh/gala | 0fdaf9159bccc59af2a3525f2926e04501754f48 | [
"MIT"
] | null | null | null | gala/potential/potential/builtin/pybuiltin.py | akeemlh/gala | 0fdaf9159bccc59af2a3525f2926e04501754f48 | [
"MIT"
] | null | null | null | # Third-party
import numpy as np
from gala.potential.potential.core import PotentialBase
from gala.potential.potential.util import sympy_wrap
from gala.potential.common import PotentialParameter
__all__ = ["HarmonicOscillatorPotential"]
class HarmonicOscillatorPotential(PotentialBase):
r"""
Represents an N-... | 34.912088 | 89 | 0.639597 | import numpy as np
from gala.potential.potential.core import PotentialBase
from gala.potential.potential.util import sympy_wrap
from gala.potential.common import PotentialParameter
__all__ = ["HarmonicOscillatorPotential"]
class HarmonicOscillatorPotential(PotentialBase):
omega = PotentialParameter('omega', phy... | true | true |
1c43ff06f66ece3c7d95b1983fde0993f787cb7e | 2,428 | py | Python | swaps/utils/channels.py | DunnCreativeSS/cash_carry_leveraged_futures_arbitrageur | 1120ebfb487ce4987fe70e6645b36e0d7ce041ec | [
"Apache-2.0"
] | 1 | 2021-09-06T00:09:11.000Z | 2021-09-06T00:09:11.000Z | swaps/utils/channels.py | DunnCreativeSS/cash_carry_leveraged_futures_arbitrageur | 1120ebfb487ce4987fe70e6645b36e0d7ce041ec | [
"Apache-2.0"
] | null | null | null | swaps/utils/channels.py | DunnCreativeSS/cash_carry_leveraged_futures_arbitrageur | 1120ebfb487ce4987fe70e6645b36e0d7ce041ec | [
"Apache-2.0"
] | null | null | null | import json
from swaps.utils.time_service import get_current_timestamp
from swaps.constant import DepthStep
def kline_channel(symbol, interval):
channel = dict()
channel["sub"] = "market." + symbol + ".kline." + interval
channel["id"] = str(get_current_timestamp())
return json.dumps(channel)
def tra... | 28.904762 | 96 | 0.670511 | import json
from swaps.utils.time_service import get_current_timestamp
from swaps.constant import DepthStep
def kline_channel(symbol, interval):
channel = dict()
channel["sub"] = "market." + symbol + ".kline." + interval
channel["id"] = str(get_current_timestamp())
return json.dumps(channel)
def tra... | true | true |
1c43ff8b50f9f4dccea00f66a1b714b913f672b2 | 4,157 | py | Python | speech_activity_detection/sad.py | hlt-bme-hu/hunspeech | b8599e232ed2daa6ff6e07b92c6dca003b8c4bde | [
"MIT"
] | 17 | 2017-03-05T03:19:37.000Z | 2020-07-28T03:05:55.000Z | speech_activity_detection/sad.py | hlt-bme-hu/hunspeech | b8599e232ed2daa6ff6e07b92c6dca003b8c4bde | [
"MIT"
] | 7 | 2016-07-05T08:40:15.000Z | 2016-07-28T10:07:38.000Z | speech_activity_detection/sad.py | hlt-bme-hu/hunspeech | b8599e232ed2daa6ff6e07b92c6dca003b8c4bde | [
"MIT"
] | 6 | 2017-05-10T12:27:35.000Z | 2018-09-14T20:13:43.000Z | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright © 2016 Judit Acs <judit@sch.bme.hu>
#
# Distributed under terms of the GPL license.
from argparse import ArgumentParser
import os
import subprocess
class EMSpeechActicityDetection:
"""Speech activity detection and segmentation
This class is a wrapp... | 35.836207 | 76 | 0.600674 |
from argparse import ArgumentParser
import os
import subprocess
class EMSpeechActicityDetection:
def __init__(self, filename, model=None, segment_out='segments.txt',
segment_dir=None, shout_path=os.environ.get('SHOUT_DIR')):
self.filename = filename
if model is None:
... | true | true |
1c4400536ce84830b6a1ec7c250cf1e8cccf83e5 | 3,961 | py | Python | tensorflow_probability/python/mcmc/internal/leapfrog_integrator_test.py | NeelGhoshal/probability | 45ed841e3cff6cdc7cd1b2d96dd874d9070318f7 | [
"Apache-2.0"
] | 2 | 2019-10-30T04:45:07.000Z | 2019-10-30T04:45:08.000Z | tensorflow_probability/python/mcmc/internal/leapfrog_integrator_test.py | gregorystrubel/probability | df96f3d56eff92c6b06fbac68dc58e095e28fed6 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/mcmc/internal/leapfrog_integrator_test.py | gregorystrubel/probability | df96f3d56eff92c6b06fbac68dc58e095e28fed6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 35.053097 | 92 | 0.721283 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow.compat.v1 as tf1
import tensorflow.compat.v2 as tf
from tensorflow_probability.python.internal import test_util
from tensorflow_probability.python.mcmc.internal import lea... | true | true |
1c4401781e653e88d9e6d6f9fbced6b590f8d769 | 243 | py | Python | example/envless_mode/app.py | jhesketh/dynaconf | a8038b87763ae8e790ff7e745b9335f997d5bd16 | [
"MIT"
] | 1 | 2021-07-21T17:06:16.000Z | 2021-07-21T17:06:16.000Z | example/envless_mode/app.py | jhesketh/dynaconf | a8038b87763ae8e790ff7e745b9335f997d5bd16 | [
"MIT"
] | null | null | null | example/envless_mode/app.py | jhesketh/dynaconf | a8038b87763ae8e790ff7e745b9335f997d5bd16 | [
"MIT"
] | null | null | null | import os
from dynaconf import LazySettings
settings = LazySettings(ENVLESS_MODE=True)
assert settings.FOO == "bar"
assert settings.HELLO == "world"
assert settings.DATABASES.default.port == 8080
assert settings.LAZY == os.environ["HOME"]
| 20.25 | 46 | 0.769547 | import os
from dynaconf import LazySettings
settings = LazySettings(ENVLESS_MODE=True)
assert settings.FOO == "bar"
assert settings.HELLO == "world"
assert settings.DATABASES.default.port == 8080
assert settings.LAZY == os.environ["HOME"]
| true | true |
1c4403bd35f001ff67a9f8496dba9393ab34b2fe | 5,177 | py | Python | pineboolib/kugar/mreportobject.py | Miguel-J/pineboo-buscar | 41a2f3ee0425d163619b78f32544c4b4661d5fa7 | [
"MIT"
] | null | null | null | pineboolib/kugar/mreportobject.py | Miguel-J/pineboo-buscar | 41a2f3ee0425d163619b78f32544c4b4661d5fa7 | [
"MIT"
] | null | null | null | pineboolib/kugar/mreportobject.py | Miguel-J/pineboo-buscar | 41a2f3ee0425d163619b78f32544c4b4661d5fa7 | [
"MIT"
] | null | null | null | from enum import Enum
from PyQt5 import QtGui
from PyQt5.QtCore import Qt
from PyQt5.Qt import QObject
from pineboolib import decorators
from pineboolib.flcontrols import ProjectClass
from pineboolib.fllegacy.FLStylePainter import FLStylePainter
class MReportObject(ProjectClass, QObject):
class BorderStyle(En... | 26.548718 | 76 | 0.615414 | from enum import Enum
from PyQt5 import QtGui
from PyQt5.QtCore import Qt
from PyQt5.Qt import QObject
from pineboolib import decorators
from pineboolib.flcontrols import ProjectClass
from pineboolib.fllegacy.FLStylePainter import FLStylePainter
class MReportObject(ProjectClass, QObject):
class BorderStyle(En... | true | true |
1c440499d9570cd84e8b5504049bea924a674c85 | 2,985 | py | Python | deepxde/geometry/geometry_3d.py | mitchelldaneker/deepxde | 62e09b62ceaab6bda2ebbd02dc30ad99c2990302 | [
"Apache-2.0"
] | 955 | 2019-06-21T21:56:02.000Z | 2022-03-31T03:44:45.000Z | deepxde/geometry/geometry_3d.py | mitchelldaneker/deepxde | 62e09b62ceaab6bda2ebbd02dc30ad99c2990302 | [
"Apache-2.0"
] | 517 | 2019-07-25T16:47:44.000Z | 2022-03-31T17:37:58.000Z | deepxde/geometry/geometry_3d.py | mitchelldaneker/deepxde | 62e09b62ceaab6bda2ebbd02dc30ad99c2990302 | [
"Apache-2.0"
] | 374 | 2019-06-24T00:44:16.000Z | 2022-03-30T08:17:36.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import itertools
import numpy as np
from .geometry_2d import Rectangle
from .geometry_nd import Hypercube, Hypersphere
class Cuboid(Hypercube):
"""
Args:
xmin: Coordinate of bottom left corn... | 35.963855 | 85 | 0.540369 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import itertools
import numpy as np
from .geometry_2d import Rectangle
from .geometry_nd import Hypercube, Hypersphere
class Cuboid(Hypercube):
def __init__(self, xmin, xmax):
super(Cuboid, sel... | true | true |
1c44054209fde45c023c2b56668fd3ef83696358 | 5,515 | py | Python | src_py/rlpytorch/trainer/utils.py | r-woo/elfai | 2c37625e608e7720b8bd7847419d7b53e87e260a | [
"BSD-3-Clause"
] | 3,305 | 2018-05-02T17:41:36.000Z | 2022-03-28T05:57:56.000Z | src_py/rlpytorch/trainer/utils.py | r-woo/elfai | 2c37625e608e7720b8bd7847419d7b53e87e260a | [
"BSD-3-Clause"
] | 135 | 2018-05-02T19:25:13.000Z | 2020-08-20T02:39:14.000Z | src_py/rlpytorch/trainer/utils.py | r-woo/elfai | 2c37625e608e7720b8bd7847419d7b53e87e260a | [
"BSD-3-Clause"
] | 604 | 2018-05-02T19:38:45.000Z | 2022-03-18T10:01:57.000Z | # Copyright (c) 2018-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
from collections import defaultdict, deque, Counter
from datetime import datetime
from elf.options import au... | 30.469613 | 78 | 0.558114 |
import os
from collections import defaultdict, deque, Counter
from datetime import datetime
from elf.options import auto_import_options, PyOptionSpec
class SymLink(object):
def __init__(self, sym_prefix, latest_k=5):
self.sym_prefix = sym_prefix
self.latest_k = latest_k
self.latest_files... | true | true |
1c44057063242c94c41dd5976ac9aa98bd752b8e | 956 | py | Python | devel/test_forward_all.py | saidbakr/darkhttpd | cb548aef6ded6794b2a5bee06f40ec1ce415baad | [
"ISC"
] | 788 | 2021-01-23T03:58:42.000Z | 2022-03-28T12:32:35.000Z | devel/test_forward_all.py | saidbakr/darkhttpd | cb548aef6ded6794b2a5bee06f40ec1ce415baad | [
"ISC"
] | 18 | 2021-02-15T06:31:17.000Z | 2022-03-10T21:46:47.000Z | devel/test_forward_all.py | saidbakr/darkhttpd | cb548aef6ded6794b2a5bee06f40ec1ce415baad | [
"ISC"
] | 59 | 2021-01-23T10:10:15.000Z | 2022-03-25T13:50:16.000Z | #!/usr/bin/env python3
# This is run by the "run-tests" script.
import unittest
from test import TestHelper, Conn, parse
class TestForwardAll(TestHelper):
def test_forward_root(self):
resp = self.get('/', req_hdrs={'Host': 'not-example.com'})
status, hdrs, body = parse(resp)
self.assertCont... | 34.142857 | 66 | 0.643305 | import unittest
from test import TestHelper, Conn, parse
class TestForwardAll(TestHelper):
def test_forward_root(self):
resp = self.get('/', req_hdrs={'Host': 'not-example.com'})
status, hdrs, body = parse(resp)
self.assertContains(status, "301 Moved Permanently")
expect = "http://c... | true | true |
1c4405dd71703bf265606d16a607178206d20790 | 5,053 | py | Python | model/flops.py | JACKYLUO1991/Face-skin-hair-segmentaiton-and-skin-color-evaluation | de2375dc0ebff03b8ac39c8a16dee427838c8ac4 | [
"Apache-2.0"
] | 152 | 2020-01-02T01:27:50.000Z | 2022-03-23T16:40:01.000Z | model/flops.py | JACKYLUO1991/Face-skin-hair-segmentaiton-and-skin-color-evaluation | de2375dc0ebff03b8ac39c8a16dee427838c8ac4 | [
"Apache-2.0"
] | 10 | 2020-01-03T07:29:59.000Z | 2021-12-11T10:57:30.000Z | model/flops.py | JACKYLUO1991/Face-skin-hair-segmentaiton-and-skin-color-evaluation | de2375dc0ebff03b8ac39c8a16dee427838c8ac4 | [
"Apache-2.0"
] | 40 | 2020-01-03T00:41:49.000Z | 2021-11-23T11:44:07.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/3/27 17:49
# @Author : JackyLUO
# @E-mail : lingluo@stumail.neu.edu.cn
# @Site :
# @File : flops.py
# @Software: PyCharm
# https://github.com/ckyrkou/Keras_FLOP_Estimator
import keras.backend as K
def get_flops(model, table=False):
if table... | 34.141892 | 106 | 0.493766 |
import keras.backend as K
def get_flops(model, table=False):
if table:
print('%25s | %16s | %16s | %16s | %16s | %6s | %6s' % (
'Layer Name', 'Input Shape', 'Output Shape', 'Kernel Size', 'Filters', 'Strides', 'FLOPS'))
print('-' * 170)
t_flops = 0
t_macc = 0
for l in m... | true | true |
1c4406d3ffd11fb02809d090a8f414c71c74c0e7 | 835 | py | Python | tests/acceptance/test_acceptance.py | magmax/livedoc | 40b7041bcb36b2a2ebbd3d5906ce5954dbc7f1ca | [
"Python-2.0"
] | null | null | null | tests/acceptance/test_acceptance.py | magmax/livedoc | 40b7041bcb36b2a2ebbd3d5906ce5954dbc7f1ca | [
"Python-2.0"
] | 2 | 2016-06-13T08:37:20.000Z | 2021-03-22T16:56:10.000Z | tests/acceptance/test_acceptance.py | magmax/livedoc | 40b7041bcb36b2a2ebbd3d5906ce5954dbc7f1ca | [
"Python-2.0"
] | null | null | null | import os
import unittest
import tempfile
from livedoc.__main__ import main
class LivedocTest(unittest.TestCase):
def test_example1(self):
this_path = os.path.dirname(__file__)
example_path = os.path.join(
os.path.dirname(os.path.dirname(this_path)),
'examples',
... | 28.793103 | 57 | 0.578443 | import os
import unittest
import tempfile
from livedoc.__main__ import main
class LivedocTest(unittest.TestCase):
def test_example1(self):
this_path = os.path.dirname(__file__)
example_path = os.path.join(
os.path.dirname(os.path.dirname(this_path)),
'examples',
... | true | true |
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