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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ff711172f7c41ab587d4d6ecad43bd5d4a0e5ea9 | 898 | py | Python | code_doc/migrations/0022_auto_20150903_2206.py | coordt/code_doc | c2fac64ac3ad61952a2d9f036727166741f9aff9 | [
"BSD-3-Clause"
] | null | null | null | code_doc/migrations/0022_auto_20150903_2206.py | coordt/code_doc | c2fac64ac3ad61952a2d9f036727166741f9aff9 | [
"BSD-3-Clause"
] | null | null | null | code_doc/migrations/0022_auto_20150903_2206.py | coordt/code_doc | c2fac64ac3ad61952a2d9f036727166741f9aff9 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [("code_doc", "0021_auto_20150831_1403")]
operations = [
migrations.AlterField(
model_name="art... | 26.411765 | 60 | 0.541203 |
ff7112c12438ab254745e7fdb62d1522dfc61045 | 4,858 | py | Python | virtual/lib/python3.8/site-packages/connexion/options.py | dan-mutua/flaskwk3 | f7ee5a27d52005bedd757d6008102b9f82508521 | [
"MIT"
] | null | null | null | virtual/lib/python3.8/site-packages/connexion/options.py | dan-mutua/flaskwk3 | f7ee5a27d52005bedd757d6008102b9f82508521 | [
"MIT"
] | null | null | null | virtual/lib/python3.8/site-packages/connexion/options.py | dan-mutua/flaskwk3 | f7ee5a27d52005bedd757d6008102b9f82508521 | [
"MIT"
] | null | null | null | """
This module defines a Connexion specific options class to pass to the Connexion App or API.
"""
import logging
import pathlib
from typing import Optional # NOQA
try:
from swagger_ui_bundle import swagger_ui_2_path, swagger_ui_3_path
except ImportError:
swagger_ui_2_path = swagger_ui_3_path = None
from c... | 30.553459 | 91 | 0.635241 |
ff712325c077c62a4c58a93cb5e3558abd74870f | 2,378 | py | Python | scrape.py | aakash257/pandemic-news | 73378012253dcd131546e4e2b8b6fd30e7e7b786 | [
"MIT"
] | null | null | null | scrape.py | aakash257/pandemic-news | 73378012253dcd131546e4e2b8b6fd30e7e7b786 | [
"MIT"
] | null | null | null | scrape.py | aakash257/pandemic-news | 73378012253dcd131546e4e2b8b6fd30e7e7b786 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import clean as cleantext
class myDict(dict):
"""create an empty dictionary and append key-value pairs"""
def __init__(self):
self = dict()
def add(self, key, value):
self[key] = value
def scrape_headline(news_link):
"""
... | 33.027778 | 79 | 0.629941 |
ff713de5d716981e295b7a5ac652f77913515092 | 2,441 | py | Python | test/register_rope_pairs.py | wjchen84/rapprentice | 9232a6a21e2c80f00854912f07dcdc725b0be95a | [
"BSD-2-Clause"
] | 23 | 2015-08-25T19:40:18.000Z | 2020-12-27T09:23:06.000Z | test/register_rope_pairs.py | wjchen84/rapprentice | 9232a6a21e2c80f00854912f07dcdc725b0be95a | [
"BSD-2-Clause"
] | null | null | null | test/register_rope_pairs.py | wjchen84/rapprentice | 9232a6a21e2c80f00854912f07dcdc725b0be95a | [
"BSD-2-Clause"
] | 8 | 2016-05-18T20:13:06.000Z | 2020-11-03T16:09:50.000Z | import h5py
import rapprentice.registration as reg, rapprentice.cloud_proc_funcs as cpf
from joblib import Memory, Parallel, delayed
import cPickle, h5py, os.path as osp, numpy as np, scipy.spatial.distance as ssd
from time import time
aa = np.asarray
mem = Memory(cachedir='/tmp/joblib')
cached_extract_red = mem.cach... | 36.984848 | 124 | 0.571897 |
ff7147a1dd773b431965f2670cbb1cc801fce3d4 | 35,910 | py | Python | src/lib/reportlab/platypus/doctemplate.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | 1 | 2018-06-15T09:42:22.000Z | 2018-06-15T09:42:22.000Z | src/lib/reportlab/platypus/doctemplate.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | null | null | null | src/lib/reportlab/platypus/doctemplate.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | null | null | null | #Copyright ReportLab Europe Ltd. 2000-2004
#see license.txt for license details
#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/platypus/doctemplate.py
__version__=''' $Id: doctemplate.py,v 1.1 2006/05/26 19:19:48 thomas Exp $ '''
__doc__="""
This module contains the co... | 39.988864 | 178 | 0.608995 |
ff7156414193099cca7fab6488579352fbfc237e | 2,531 | py | Python | Python-code-snippets-201-300/272-Animated-fire-effect.py | abartoha/python-snippets-ref | 04e4feada96077f0e849b277204c012194e8fbcd | [
"Unlicense"
] | null | null | null | Python-code-snippets-201-300/272-Animated-fire-effect.py | abartoha/python-snippets-ref | 04e4feada96077f0e849b277204c012194e8fbcd | [
"Unlicense"
] | null | null | null | Python-code-snippets-201-300/272-Animated-fire-effect.py | abartoha/python-snippets-ref | 04e4feada96077f0e849b277204c012194e8fbcd | [
"Unlicense"
] | null | null | null | """Code snippets vol-55
272-Animated fire effect
Download all snippets so far:
https://wp.me/Pa5TU8-1yg
Blog: stevepython.wordpress.com
Requirements:
pip3 install numpy
pip3 install pygame
Origin:
https://github.com/beltoforion/recreational_mathematics_with_python/
blob/master/fire.py
"""
import random
i... | 28.438202 | 74 | 0.521138 |
ff7157e8d4660af0940d47f5425462a0725fb093 | 4,098 | py | Python | igibson/robots/fetch_robot.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | 360 | 2020-04-02T11:12:09.000Z | 2022-03-24T21:46:58.000Z | igibson/robots/fetch_robot.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | 169 | 2020-04-07T21:01:05.000Z | 2022-03-31T10:07:39.000Z | igibson/robots/fetch_robot.py | suresh-guttikonda/iGibson | a69e623058180146466cd52d4bb3c00d1facdacf | [
"MIT"
] | 94 | 2020-04-09T23:22:17.000Z | 2022-03-17T21:49:03.000Z | import gym
import numpy as np
import pybullet as p
from igibson.external.pybullet_tools.utils import joints_from_names, set_joint_positions
from igibson.robots.robot_locomotor import LocomotorRobot
class Fetch(LocomotorRobot):
"""
Fetch Robot
Reference: https://fetchrobotics.com/robotics-platforms/fetch-... | 34.728814 | 116 | 0.596877 |
ff7165d2f29907993062929a16987b60b5bf85e6 | 5,825 | py | Python | toucan_data_sdk/utils/generic/compute_evolution.py | vdestraitt/toucan-data-sdk | 09327592daef6bc94d0d6f79a041b581226c2b7b | [
"BSD-3-Clause"
] | null | null | null | toucan_data_sdk/utils/generic/compute_evolution.py | vdestraitt/toucan-data-sdk | 09327592daef6bc94d0d6f79a041b581226c2b7b | [
"BSD-3-Clause"
] | null | null | null | toucan_data_sdk/utils/generic/compute_evolution.py | vdestraitt/toucan-data-sdk | 09327592daef6bc94d0d6f79a041b581226c2b7b | [
"BSD-3-Clause"
] | null | null | null | import logging
import numpy as np
import pandas as pd
from toucan_data_sdk.utils.helpers import check_params_columns_duplicate
def compute_evolution_by_frequency(
df,
id_cols,
date_col,
value_col,
freq=1,
method='abs',
format='column',
offseted_suffix='_offseted',
evolution_col_na... | 30.181347 | 97 | 0.652189 |
ff7172aa01bfd5e06aa70086e8c4f6fbabc0f0d7 | 46,438 | py | Python | ExtentionPackages/tornado/auth.py | hongsofwing/PyQYT-master | 9a112d9adbf9885a8b7535b7ef7759b60a0f9a29 | [
"CNRI-Python"
] | 652 | 2015-07-26T00:00:17.000Z | 2022-02-24T18:30:04.000Z | ExtentionPackages/tornado/auth.py | hongsofwing/PyQYT-master | 9a112d9adbf9885a8b7535b7ef7759b60a0f9a29 | [
"CNRI-Python"
] | 17 | 2015-11-30T15:18:37.000Z | 2022-02-11T03:37:50.000Z | ExtentionPackages/tornado/auth.py | hongsofwing/PyQYT-master | 9a112d9adbf9885a8b7535b7ef7759b60a0f9a29 | [
"CNRI-Python"
] | 84 | 2015-12-16T01:19:50.000Z | 2022-03-10T05:52:06.000Z | #!/usr/bin/env python
#
# Copyright 2009 Facebook
#
# 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 a... | 40.735088 | 111 | 0.613334 |
ff71cfd1bdb454512f0fc5b396c629a3d7a3a8fb | 2,159 | py | Python | test/vanilla/version-tolerant/AcceptanceTests/asynctests/test_object_type.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/vanilla/version-tolerant/AcceptanceTests/asynctests/test_object_type.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/vanilla/version-tolerant/AcceptanceTests/asynctests/test_object_type.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), ... | 42.333333 | 89 | 0.710977 |
ff71ff0a64c8b586413189aee67daf408f8c096d | 7,815 | py | Python | src/ezdxf/math/bezier.py | George-Jiang/ezdxf | bd51f8a9d45ae388009a9d0d7e2cdc9e7bb01ca2 | [
"MIT"
] | null | null | null | src/ezdxf/math/bezier.py | George-Jiang/ezdxf | bd51f8a9d45ae388009a9d0d7e2cdc9e7bb01ca2 | [
"MIT"
] | null | null | null | src/ezdxf/math/bezier.py | George-Jiang/ezdxf | bd51f8a9d45ae388009a9d0d7e2cdc9e7bb01ca2 | [
"MIT"
] | null | null | null | # Purpose: general bezier curve
# Created: 26.03.2010
# Copyright (c) 2010-2018 Manfred Moitzi
# License: MIT License
from typing import TYPE_CHECKING, List, Iterable, Tuple, Dict
from .vector import Vector
from .construct2d import linspace
if TYPE_CHECKING:
from ezdxf.eztypes import Vertex
"""
Bezier curves
===... | 38.688119 | 125 | 0.602431 |
ff727d9c036b0abc75c8b78dc88f6d25ff19ebfc | 7,902 | py | Python | sequence_labelling/token_classification/train.py | Open-Speech-EkStep/punctuation-ITN | d4b8340786a836d44b510ff981667a37cac4b65e | [
"MIT"
] | 2 | 2022-01-17T09:13:42.000Z | 2022-01-18T23:33:42.000Z | sequence_labelling/token_classification/train.py | Open-Speech-EkStep/punctuation-ITN | d4b8340786a836d44b510ff981667a37cac4b65e | [
"MIT"
] | null | null | null | sequence_labelling/token_classification/train.py | Open-Speech-EkStep/punctuation-ITN | d4b8340786a836d44b510ff981667a37cac4b65e | [
"MIT"
] | 2 | 2022-02-07T14:10:30.000Z | 2022-02-09T07:28:19.000Z | import os
import warnings
import json
import numpy as np
import torch
import torch.nn as nn
from sklearn.metrics import accuracy_score, f1_score, classification_report
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from transformers import AlbertForTokenClassification, AdamW, get_linear_schedu... | 37.808612 | 116 | 0.672615 |
ff72877d954967889952b41e32e4d06375c2c606 | 1,009 | py | Python | server/src/myapi/urls.py | kentaiwami/KI_App0 | 4cc9dbc5cc34f7ca52b5d0487624f687696b3fb4 | [
"MIT"
] | null | null | null | server/src/myapi/urls.py | kentaiwami/KI_App0 | 4cc9dbc5cc34f7ca52b5d0487624f687696b3fb4 | [
"MIT"
] | 24 | 2016-06-21T09:05:26.000Z | 2022-02-10T09:27:38.000Z | server/src/myapi/urls.py | kentaiwami/FiNote | 4cc9dbc5cc34f7ca52b5d0487624f687696b3fb4 | [
"MIT"
] | null | null | null | """myapi URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | 36.035714 | 83 | 0.708622 |
ff72a000fc543fa43a9630f6f6dd77a12582b3f2 | 3,509 | py | Python | simulation/run_simulation.py | vipulharsh/Fulcrum | 36153c14b3704b026ebbb0da28ad040e87cb8cb8 | [
"Apache-2.0"
] | null | null | null | simulation/run_simulation.py | vipulharsh/Fulcrum | 36153c14b3704b026ebbb0da28ad040e87cb8cb8 | [
"Apache-2.0"
] | null | null | null | simulation/run_simulation.py | vipulharsh/Fulcrum | 36153c14b3704b026ebbb0da28ad040e87cb8cb8 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2013 The Regents of The University California
#
# 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... | 31.053097 | 101 | 0.707039 |
ff72babc1244610042af46d0d5f23a147e337bad | 22,128 | py | Python | appstoreconnect/api.py | IlyaSkriblovsky/appstoreconnectapi | ddc8f13d1db2c4dea8c87949e749cb2b5e883568 | [
"MIT"
] | null | null | null | appstoreconnect/api.py | IlyaSkriblovsky/appstoreconnectapi | ddc8f13d1db2c4dea8c87949e749cb2b5e883568 | [
"MIT"
] | null | null | null | appstoreconnect/api.py | IlyaSkriblovsky/appstoreconnectapi | ddc8f13d1db2c4dea8c87949e749cb2b5e883568 | [
"MIT"
] | null | null | null | import requests
import jwt
import gzip
import platform
import hashlib
from collections import defaultdict
from pathlib import Path
from datetime import datetime, timedelta
import time
import json
from enum import Enum
from .resources import *
from .__version__ import __version__ as version
ALGORITHM = 'ES256'
BASE_AP... | 36.039088 | 228 | 0.733641 |
ff72d9d8dd3a7523d3e1c35d1f542d7d711fd5b2 | 10,397 | py | Python | chroma/importgeo/uservg4daegeo.py | NuTufts/chroma_lartpc | ea6d1a62d22eeeaac069efdef1068a56be683fcc | [
"BSD-3-Clause"
] | null | null | null | chroma/importgeo/uservg4daegeo.py | NuTufts/chroma_lartpc | ea6d1a62d22eeeaac069efdef1068a56be683fcc | [
"BSD-3-Clause"
] | null | null | null | chroma/importgeo/uservg4daegeo.py | NuTufts/chroma_lartpc | ea6d1a62d22eeeaac069efdef1068a56be683fcc | [
"BSD-3-Clause"
] | null | null | null | import abc, os, sys, time
from chroma.detector import Detector
from chroma.geometry import Material, Surface
from chroma.g4daenode.collada_to_chroma import ColladaToChroma
from chroma.g4daenode.g4daenode import DAENode
from chroma.loader import load_bvh
from sets import Set
import numpy as np
from itertools import imap... | 49.042453 | 182 | 0.619506 |
ff72e0f4bc6caf91dca882d9d2e03f36aee0e28f | 10,657 | py | Python | cloudbio/package/brew.py | colorshifter/cloudbiolinux | cb446279db176b3ade9923cde228bca76eb2c7d8 | [
"MIT"
] | null | null | null | cloudbio/package/brew.py | colorshifter/cloudbiolinux | cb446279db176b3ade9923cde228bca76eb2c7d8 | [
"MIT"
] | 1 | 2022-03-29T22:03:28.000Z | 2022-03-29T22:03:28.000Z | cloudbio/package/brew.py | colorshifter/cloudbiolinux | cb446279db176b3ade9923cde228bca76eb2c7d8 | [
"MIT"
] | null | null | null | """Install packages via the MacOSX Homebrew and Linux Linuxbrew package manager.
https://github.com/mxcl/homebrew
https://github.com/Homebrew/linuxbrew
"""
import contextlib
from distutils.version import LooseVersion
import os
from cloudbio.custom import system
from cloudbio.flavor.config import get_config_file
from c... | 45.348936 | 110 | 0.620719 |
ff72f0991e87cf1794e86b669d8441f902659b28 | 2,881 | py | Python | nicos_mlz/pgaa/setups/sampletable.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_mlz/pgaa/setups/sampletable.py | ess-dmsc/nicos | 755d61d403ff7123f804c45fc80c7ff4d762993b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_mlz/pgaa/setups/sampletable.py | mlz-ictrl/nicos | a6de0bc194ba42e3dc04a033713b41b5499ba8e1 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'XYZ-Omega sample table'
group = 'lowlevel'
excludes = ['samplechanger']
tango_base = 'tango://pgaahw.pgaa.frm2.tum.de:10000/pgaa/huber/'
devices = dict(
x_m = device('nicos.devices.entangle.Motor',
description = 'X axis sample table motor',
tangodevice = tango_base + 'mx',
... | 30.326316 | 64 | 0.556404 |
ff72f12504887a77daba4745c17fac0428d238b9 | 4,094 | py | Python | alipay/aop/api/request/MybankCreditSupplychainCreditpayBuyerunsignCreateRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/request/MybankCreditSupplychainCreditpayBuyerunsignCreateRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/request/MybankCreditSupplychainCreditpayBuyerunsignCreateRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.MybankCreditSupplychainCreditpayBuyerunsignCreateModel import MybankCreditSupplychainCreditpayBuyerunsignCreateModel
class MybankCre... | 28.234483 | 148 | 0.655105 |
ff730643ce3eef0fe6009d773034f77afefff556 | 2,828 | py | Python | tf2onnx/tflite/CustomQuantization.py | LoicDagnas/tensorflow-onnx | 6691850e79047d05d85017573170fd8240393b57 | [
"Apache-2.0"
] | 1,473 | 2018-03-16T02:47:33.000Z | 2022-03-31T03:43:52.000Z | tf2onnx/tflite/CustomQuantization.py | LoicDagnas/tensorflow-onnx | 6691850e79047d05d85017573170fd8240393b57 | [
"Apache-2.0"
] | 1,208 | 2018-03-14T09:58:49.000Z | 2022-03-31T17:56:20.000Z | tf2onnx/tflite/CustomQuantization.py | LoicDagnas/tensorflow-onnx | 6691850e79047d05d85017573170fd8240393b57 | [
"Apache-2.0"
] | 350 | 2018-04-03T03:48:40.000Z | 2022-03-30T11:23:55.000Z | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class CustomQuantization(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 37.706667 | 129 | 0.708628 |
ff7325bb3711c314855718e7f6c63b88a267b764 | 50,962 | py | Python | sdk/cdn/azure-mgmt-cdn/azure/mgmt/cdn/operations/_afd_endpoints_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/cdn/azure-mgmt-cdn/azure/mgmt/cdn/operations/_afd_endpoints_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/cdn/azure-mgmt-cdn/azure/mgmt/cdn/operations/_afd_endpoints_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 44.586177 | 227 | 0.67205 |
ff737f2c66a22c8e5760853db14f421459182fb8 | 1,775 | py | Python | tests/test_data_helpers.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 1 | 2021-02-11T10:03:42.000Z | 2021-02-11T10:03:42.000Z | tests/test_data_helpers.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 2 | 2020-02-24T11:52:51.000Z | 2021-07-05T19:38:55.000Z | tests/test_data_helpers.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 4 | 2020-02-10T14:49:41.000Z | 2021-05-07T14:41:32.000Z | import pytest
from unittest.mock import Mock
import requests
import requests_mock
from sitemapparser.data_helpers import download_uri_data, data_to_element
def test_download_uri_data_sitemap_index():
with requests_mock.mock() as m:
smi_data = open('tests/sitemap_index_data.xml', 'rb').read()
m.get... | 39.444444 | 86 | 0.705352 |
ff738aed849fe94c8b1e08a58cab155ffcefc897 | 1,327 | py | Python | examples/scrapy/covid/covid/spiders/covid.py | scrapfly/python-scrapfly | ee3112971bc28b6a8e7039711f59da90de7025c2 | [
"BSD-2-Clause"
] | 3 | 2021-05-18T05:06:23.000Z | 2021-12-19T02:57:33.000Z | examples/scrapy/covid/covid/spiders/covid.py | scrapfly/python-scrapfly | ee3112971bc28b6a8e7039711f59da90de7025c2 | [
"BSD-2-Clause"
] | 5 | 2021-01-08T04:12:28.000Z | 2021-07-14T07:53:54.000Z | examples/scrapy/covid/covid/spiders/covid.py | scrapfly/python-scrapfly | ee3112971bc28b6a8e7039711f59da90de7025c2 | [
"BSD-2-Clause"
] | 1 | 2021-05-18T05:06:30.000Z | 2021-05-18T05:06:30.000Z | from scrapfly import ScrapeConfig
from scrapfly.scrapy import ScrapflyMiddleware, ScrapflyScrapyRequest, ScrapflySpider, ScrapflyScrapyResponse
class CovidSpider(ScrapflySpider):
name = 'covid'
allowed_domains = ['www.worldmeters.info/coronavirus']
start_urls = [ScrapeConfig(url='https://www.worldometers.... | 42.806452 | 130 | 0.583271 |
ff7397dd5f6c82297680540b8745bd6efc4f0517 | 19,046 | py | Python | core/domain/suggestion_services.py | cclauss/oppia | 7ad9d06e434c589f0aaa015252ca65872557b7eb | [
"Apache-2.0"
] | null | null | null | core/domain/suggestion_services.py | cclauss/oppia | 7ad9d06e434c589f0aaa015252ca65872557b7eb | [
"Apache-2.0"
] | 7 | 2019-08-20T08:30:43.000Z | 2022-02-12T18:47:57.000Z | core/domain/suggestion_services.py | ledriod/oppia | 4f8f95c6689cd36f0b65672b80d98a3463b001f8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Oppia 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 ... | 36.209125 | 80 | 0.712801 |
ff73ae89cd0d84c4803ceb2275e773a77c1af0dd | 8,417 | py | Python | toontown/town/TownBattleSOSPetInfoPanel.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/town/TownBattleSOSPetInfoPanel.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/town/TownBattleSOSPetInfoPanel.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from pandac.PandaModules import *
from direct.fsm import StateData
from direct.gui.DirectGui import *
from pandac.PandaModules import *
from toontown.toonbase import TTLocalizer
from toontown.pets import Pet, PetTricks, PetDetailPanel
from toontown.speedchat import TTSCPetTrickMenu
from otp.speedchat import SpeedChatGl... | 54.303226 | 333 | 0.674706 |
ff73b51353326eb18697fa43f71145575840d20e | 10,406 | py | Python | downunder/py_src/mappings.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null | downunder/py_src/mappings.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null | downunder/py_src/mappings.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null | ##############################################################################
#
# Copyright (c) 2003-2020 by The University of Queensland
# http://www.uq.edu.au
#
# Primary Business: Queensland, Australia
# Licensed under the Apache License, version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
#
# Development unti... | 31.438066 | 120 | 0.569671 |
ff73eb1b6257389f27ef5d86f988419180c6a8d2 | 1,270 | py | Python | projects/DensePose/densepose/modeling/densepose_checkpoint.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | projects/DensePose/densepose/modeling/densepose_checkpoint.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | projects/DensePose/densepose/modeling/densepose_checkpoint.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
from collections import OrderedDict
from detectron.checkpoint import DetectionCheckpointer
def _rename_HRNet_weights(weights):
# We detect and rename HRNet weights for DensePose. 1956 and 1716 are values that are
# common to all HRNet pretrained weights, an... | 35.277778 | 94 | 0.669291 |
ff73f005721feb9dd86785bb7153b95760528b2e | 3,167 | py | Python | limix/scripts/iset_analyze.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | limix/scripts/iset_analyze.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | limix/scripts/iset_analyze.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | def entry_point():
import os
import time
from optparse import OptionParser
import numpy as np
import pandas as pd
import scipy as sp
from ..data import BedReader
from ..iSet.iset import fit_iSet
from ..util import unique_variants as f_uni_variants
parser = OptionParser()
p... | 29.877358 | 72 | 0.587307 |
ff73fd7273b1da70fc810212f188fd74ee400f95 | 3,518 | py | Python | jsonpickle/__init__.py | hpcugent/jsonpickle | c5bd1614ef693b0e0c6b333587ec751174eb5a63 | [
"BSD-3-Clause"
] | null | null | null | jsonpickle/__init__.py | hpcugent/jsonpickle | c5bd1614ef693b0e0c6b333587ec751174eb5a63 | [
"BSD-3-Clause"
] | null | null | null | jsonpickle/__init__.py | hpcugent/jsonpickle | c5bd1614ef693b0e0c6b333587ec751174eb5a63 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2008 John Paulett (john -at- paulett.org)
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution.
"""Python library for serializing any arbitrary object graph into JSON.
jsonpickle c... | 27.920635 | 81 | 0.696418 |
ff741271e77c0e673a0e9340b7a6a7835b456058 | 1,121 | py | Python | axonius_api_client/cli/grp_system/grp_roles/cmd_update_perms.py | kf-careem/axonius_api_client | 27767c896ca446e74ca5d69e087e1a0dcf7157ec | [
"MIT"
] | 11 | 2020-01-31T00:28:26.000Z | 2022-03-25T20:27:08.000Z | axonius_api_client/cli/grp_system/grp_roles/cmd_update_perms.py | kf-careem/axonius_api_client | 27767c896ca446e74ca5d69e087e1a0dcf7157ec | [
"MIT"
] | 83 | 2020-01-22T12:52:38.000Z | 2022-02-07T16:20:18.000Z | axonius_api_client/cli/grp_system/grp_roles/cmd_update_perms.py | kf-careem/axonius_api_client | 27767c896ca446e74ca5d69e087e1a0dcf7157ec | [
"MIT"
] | 16 | 2019-08-23T17:44:31.000Z | 2022-01-06T00:57:34.000Z | # -*- coding: utf-8 -*-
"""Command line interface for Axonius API Client."""
from ...context import CONTEXT_SETTINGS, click
from ...options import AUTH, add_options
from .grp_common import EXPORT, PERMS, ROLE_NAME, handle_export
GRANT = click.option(
"--allow/--deny",
"-a/-d",
"grant",
help="Permission... | 28.025 | 77 | 0.689563 |
ff742aecd9da8f7752a2fb4cbb1b8bd6575f1874 | 368 | py | Python | src/dml_project/__init__.py | mbecker12/bird-detection | b352f6c585c2553a283abc48a0167984b9529c4a | [
"MIT"
] | 1 | 2020-11-30T19:35:25.000Z | 2020-11-30T19:35:25.000Z | src/dml_project/__init__.py | mbecker12/bird-detection | b352f6c585c2553a283abc48a0167984b9529c4a | [
"MIT"
] | null | null | null | src/dml_project/__init__.py | mbecker12/bird-detection | b352f6c585c2553a283abc48a0167984b9529c4a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from pkg_resources import get_distribution, DistributionNotFound
try:
# Change here if project is renamed and does not equal the package name
dist_name = "dml-project"
__version__ = get_distribution(dist_name).version
except DistributionNotFound:
__version__ = "unknown"
finally:... | 30.666667 | 75 | 0.763587 |
ff743fa451432b082b5253756b0de0023755d3e9 | 1,153 | py | Python | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/setup.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/setup.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/setup.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 30.342105 | 94 | 0.631396 |
ff7444edfcdef06e547d732867540a128abbf35f | 3,020 | py | Python | tests/v1_and_BotUpSaliency/utils/draw_on_grid.py | michaelStettler/BVS | 947f1e505ccc3ebcf1926c8f52924d823bd1e101 | [
"Apache-2.0"
] | null | null | null | tests/v1_and_BotUpSaliency/utils/draw_on_grid.py | michaelStettler/BVS | 947f1e505ccc3ebcf1926c8f52924d823bd1e101 | [
"Apache-2.0"
] | null | null | null | tests/v1_and_BotUpSaliency/utils/draw_on_grid.py | michaelStettler/BVS | 947f1e505ccc3ebcf1926c8f52924d823bd1e101 | [
"Apache-2.0"
] | null | null | null | import numpy as np
def draw_on_grid(img):
"""
draw_on_grid will replicate what would be the input image look like from the gabor filter activations (input).
It will draw a line corresponding to each orientation into a small box for each x, y coordinate of the input image.
This function is not intende... | 30.2 | 119 | 0.438079 |
ff748a199841ba4a6a3b239a0c3b972e0c54d1ea | 476 | py | Python | algorithms/knuth_shuffle.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | algorithms/knuth_shuffle.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | algorithms/knuth_shuffle.py | vadymshturkhal/algorithms | 7eb6b3b0b8d389fdbbcc9ff48712d398f04c343d | [
"MIT"
] | null | null | null | from random import randint
def knuth_shuffle(sequence: list):
"""
Proposition: [Fisher-Yates 1938].
Knuth shuffling algorithm.
Produces a uniformly random permutation of the input array in linear time.
"""
for i in range(len(sequence)):
random_index = randint(0, i)
sequence[i],... | 25.052632 | 81 | 0.663866 |
ff74b3a410c792d83faa6f63d4bc1ccc51a4d1fb | 2,971 | py | Python | lib/utils/load_data.py | vedrusss/Deformable-ConvNets | 88bc920abffb4d0efe2b6dd8ce959ed134482f6f | [
"MIT"
] | null | null | null | lib/utils/load_data.py | vedrusss/Deformable-ConvNets | 88bc920abffb4d0efe2b6dd8ce959ed134482f6f | [
"MIT"
] | null | null | null | lib/utils/load_data.py | vedrusss/Deformable-ConvNets | 88bc920abffb4d0efe2b6dd8ce959ed134482f6f | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Deformable Convolutional Networks
# Copyright (c) 2017 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuwen Xiong
# --------------------------------------------------------
# Edited by A.Antonenko from Arlo Technologies, In... | 35.795181 | 119 | 0.657691 |
ff74b72bb1252270b2b86374546ed93548415d90 | 9,539 | py | Python | maddness/python/maddness/util/hash_function_helper.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | maddness/python/maddness/util/hash_function_helper.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | maddness/python/maddness/util/hash_function_helper.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | # type: ignore
import copy
import numba
import numpy as np
@numba.njit(fastmath=True, cache=True, parallel=False)
def _cumsse_cols(X):
# TODO: can be optimized with numpy
N, D = X.shape
cumsses = np.empty((N, D), X.dtype)
cumX_column = np.empty(D, X.dtype)
cumX2_column = np.empty(D, X.dtype)
f... | 31.071661 | 88 | 0.584443 |
ff74b7cc78428d571ba2e9ec97f73a3507f5e683 | 481 | py | Python | assets/style.py | ForestMars/Coda.to | 55e99a8fb1867738e0bb2292461fa2bf3a7770f7 | [
"DOC",
"MIT"
] | null | null | null | assets/style.py | ForestMars/Coda.to | 55e99a8fb1867738e0bb2292461fa2bf3a7770f7 | [
"DOC",
"MIT"
] | null | null | null | assets/style.py | ForestMars/Coda.to | 55e99a8fb1867738e0bb2292461fa2bf3a7770f7 | [
"DOC",
"MIT"
] | null | null | null | # styling sure is messy.
styleplot=dict(
size=12,
color='lightgray',
opacity=0.8,
line=dict(color='gray',width=2),
)
style = {
'red' : {'line': {'color': 'crimson', 'width': 2}},
'green' : {'line': {'color': 'forestgreen', 'width': 2}},
'blue' : {'line': {'color': 'LightSteelBlue', 'wid... | 28.294118 | 63 | 0.567568 |
ff74b8d7897c3b4efcbcc29c524b408904b95c3e | 498 | py | Python | tests/distributed/test_simple_hub_pods/hub-mwu/mwu_encoder.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | 2 | 2021-06-30T06:56:30.000Z | 2022-03-11T01:27:19.000Z | tests/distributed/test_simple_hub_pods/hub-mwu/mwu_encoder.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | null | null | null | tests/distributed/test_simple_hub_pods/hub-mwu/mwu_encoder.py | Rohitpandit021/jina | f3db4d5e480375d8dc3bceda814ac1963dee76d7 | [
"Apache-2.0"
] | null | null | null | from typing import Any
import numpy as np
from jina.executors.encoders import BaseEncoder
class MWUEncoder(BaseEncoder):
def __init__(self, greetings: str, *args, **kwargs):
super().__init__(*args, **kwargs)
self._greetings = greetings
self.logger.success(f'look at me! {greetings}')
... | 29.294118 | 68 | 0.666667 |
ff74c070d8526bb01ec79a643f2f2456ebb53308 | 14,004 | py | Python | tests/components/mqtt/test_init.py | mbs-technologie/home-assistant | 71fc446425cbb1c0d4670c261ce8ea3bfd83a73d | [
"MIT"
] | 13 | 2017-02-01T13:25:34.000Z | 2022-01-26T01:30:39.000Z | tests/components/mqtt/test_init.py | 1Forward1Back/home-assistant | ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6 | [
"MIT"
] | 9 | 2017-07-26T18:05:32.000Z | 2021-12-05T14:16:34.000Z | tests/components/mqtt/test_init.py | 1Forward1Back/home-assistant | ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6 | [
"MIT"
] | 21 | 2017-07-26T17:09:40.000Z | 2022-03-27T22:37:22.000Z | """The tests for the MQTT component."""
from collections import namedtuple
import unittest
from unittest import mock
import socket
import voluptuous as vol
from homeassistant.core import callback
from homeassistant.bootstrap import setup_component
import homeassistant.components.mqtt as mqtt
from homeassistant.const ... | 39.337079 | 79 | 0.635461 |
ff74fb63cc2707661de86812c2ba63c7093fe3b5 | 752 | py | Python | DAE_Method/rouen/dataset_defines.py | proy3/Abnormal_Trajectory_Classifier | a6b27c6847262e9703a0f3404c85c135415c1d4c | [
"MIT"
] | 6 | 2019-10-29T03:05:14.000Z | 2022-03-18T05:14:25.000Z | DAE_Method/rouen/dataset_defines.py | proy3/Abnormal_Trajectory_Classifier | a6b27c6847262e9703a0f3404c85c135415c1d4c | [
"MIT"
] | 1 | 2022-03-11T03:49:34.000Z | 2022-03-11T03:49:34.000Z | DAE_Method/rouen/dataset_defines.py | proy3/Abnormal_Trajectory_Classifier | a6b27c6847262e9703a0f3404c85c135415c1d4c | [
"MIT"
] | 1 | 2021-12-15T09:21:26.000Z | 2021-12-15T09:21:26.000Z | """
This script contains some global variables that are used throughout this specific dataset.
"""
# Dataset file names
raw_input_file_all = '/home/travail/datasets/urban_tracker/rouen/rouen_annotations/rouen_gt.sqlite'
input_raw_image_frame_path = '/home/travail/datasets/urban_tracker/rouen/rouen_frames/'
raw_input_f... | 44.235294 | 99 | 0.816489 |
ff75115557ea852b6c42cc3b73d54980403b1cb3 | 8,352 | py | Python | python/segment_audio.py | rddunphy/MusicClassification | efa58e474d2ff68cc24a07dd19b61e4dbac93765 | [
"MIT"
] | null | null | null | python/segment_audio.py | rddunphy/MusicClassification | efa58e474d2ff68cc24a07dd19b61e4dbac93765 | [
"MIT"
] | null | null | null | python/segment_audio.py | rddunphy/MusicClassification | efa58e474d2ff68cc24a07dd19b61e4dbac93765 | [
"MIT"
] | null | null | null | """Split audio files in a directory into segments of a given length."""
import argparse
import csv
import os
import uuid
from timeit import default_timer as timer
from pydub import AudioSegment
from audio_utilities import valid_file_type
def _write_index(rows, path):
if path:
print('Saving index to {}.... | 35.389831 | 79 | 0.628712 |
ff7517c1cdbdc354ce7b728b714d235b64ac4860 | 3,707 | py | Python | sphinxcontrib/confluencebuilder/std/confluence.py | TheDubliner/confluencebuilder | f92d63ae9949c52cf8639643073aacb249cacd62 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/std/confluence.py | TheDubliner/confluencebuilder | f92d63ae9949c52cf8639643073aacb249cacd62 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/std/confluence.py | TheDubliner/confluencebuilder | f92d63ae9949c52cf8639643073aacb249cacd62 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:copyright: Copyright 2017-2020 by the contributors (see AUTHORS file).
:license: BSD-2-Clause, see LICENSE for details.
"""
from .sphinx import DEFAULT_HIGHLIGHT_STYLE
"""
confluence trailing bind path for rest api
"""
API_REST_BIND_PATH = 'rest/api'
"""
confluence default (parag... | 25.217687 | 85 | 0.604802 |
ff7533bab4a338d942fffcf12da9d54b468f290c | 5,760 | py | Python | sdk/signalr/azure-mgmt-signalr/azure/mgmt/signalr/aio/operations/_signal_rprivate_link_resources_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/signalr/azure-mgmt-signalr/azure/mgmt/signalr/aio/operations/_signal_rprivate_link_resources_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/signalr/azure-mgmt-signalr/azure/mgmt/signalr/aio/operations/_signal_rprivate_link_resources_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 46.08 | 192 | 0.675174 |
ff7534778bd9053d3d5953935a2a9ff3997b3a8f | 1,193 | py | Python | CHAPTER 10 (maps, hash tables and skip lists)/cost_performance_database.py | ahammadshawki8/Data-Structures-Algorithms-in-Python- | fc18b54128cd5bc7639a14999d8f990190b524eb | [
"MIT"
] | null | null | null | CHAPTER 10 (maps, hash tables and skip lists)/cost_performance_database.py | ahammadshawki8/Data-Structures-Algorithms-in-Python- | fc18b54128cd5bc7639a14999d8f990190b524eb | [
"MIT"
] | null | null | null | CHAPTER 10 (maps, hash tables and skip lists)/cost_performance_database.py | ahammadshawki8/Data-Structures-Algorithms-in-Python- | fc18b54128cd5bc7639a14999d8f990190b524eb | [
"MIT"
] | null | null | null | from sorted_table_map import *
class CostPerformanceDatabase:
"""Maximum a database of maximal (cost,performace) pairs."""
def __init__(self):
"""Create an empty database."""
self._M = SortedTableMap() # or a more efficient sorted map
def best(self,c):
"""Return (cost,per... | 41.137931 | 81 | 0.563286 |
ff756532e75f906bffd32d29a602ff51aebf5fe3 | 2,657 | py | Python | app_ccf/fraud_checks.py | richardmobikasa/cash-assistance-platform | fafc117823c9bb7b5b6115d11c66afb459e1ec5f | [
"MIT"
] | 10 | 2020-10-02T20:03:08.000Z | 2022-01-05T17:27:54.000Z | app_ccf/fraud_checks.py | richardmobikasa/cash-assistance-platform | fafc117823c9bb7b5b6115d11c66afb459e1ec5f | [
"MIT"
] | 3 | 2020-10-06T14:44:28.000Z | 2020-10-07T15:33:23.000Z | app_ccf/fraud_checks.py | richardmobikasa/cash-assistance-platform | fafc117823c9bb7b5b6115d11c66afb459e1ec5f | [
"MIT"
] | 6 | 2020-09-22T22:39:38.000Z | 2021-07-13T06:45:53.000Z | from app_ccf.models import PreapprovedAddress, Application
class BaseDedupCheck:
"""
Base class for checking Applications for duplicates.
Subclasses should override get_test_value to return a value
to be compared across applications for duplicates. They may
optionally provide max_duplicates if th... | 36.39726 | 81 | 0.681219 |
ff757a7ce051c77d79d523ce7d4c287015bba053 | 3,793 | py | Python | algopy/__init__.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 54 | 2015-03-05T13:38:08.000Z | 2021-11-29T11:54:48.000Z | algopy/__init__.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 7 | 2016-04-06T11:25:00.000Z | 2020-11-09T13:53:20.000Z | algopy/__init__.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 13 | 2015-01-17T17:05:56.000Z | 2021-08-05T01:13:16.000Z | """
=============================================================
AlgoPy, a library for Automatic Differentation (AD) in Python
=============================================================
Description:
AlgoPy allows you to differentiate functions implemented as computer programs
by using Algorithmic Differen... | 27.889706 | 98 | 0.678355 |
ff75ae837a9a0f59d9176ff071d2eb4977031c33 | 622 | py | Python | test/test_monitor.py | GdoongMathew/Monitor | 1affeea0ca4f61d84fd8f0b8838a847da16854c2 | [
"MIT"
] | null | null | null | test/test_monitor.py | GdoongMathew/Monitor | 1affeea0ca4f61d84fd8f0b8838a847da16854c2 | [
"MIT"
] | null | null | null | test/test_monitor.py | GdoongMathew/Monitor | 1affeea0ca4f61d84fd8f0b8838a847da16854c2 | [
"MIT"
] | null | null | null |
from monitor import BasicMonitor
from test_reader import cpu_reader, gpu_reader, non_reader, reader
import queue
import contextlib
import pytest
@contextlib.contextmanager
def not_raise_error():
yield
@pytest.mark.parametrize('reader, proto_que, error', [
('cpu_reader', queue.Queue(), not_raise_error()),
... | 27.043478 | 66 | 0.733119 |
ff75b8d2a099640749debc0434044f5a0ce06807 | 1,923 | py | Python | gibson2/robots/turtlebot_robot.py | i-m-vivek/iGibson | c9009a3da4bfe05e8a3c058d83e0a5d3be0cd648 | [
"MIT"
] | 3 | 2021-02-07T14:00:38.000Z | 2021-07-03T19:40:59.000Z | gibson2/robots/turtlebot_robot.py | i-m-vivek/iGibson | c9009a3da4bfe05e8a3c058d83e0a5d3be0cd648 | [
"MIT"
] | null | null | null | gibson2/robots/turtlebot_robot.py | i-m-vivek/iGibson | c9009a3da4bfe05e8a3c058d83e0a5d3be0cd648 | [
"MIT"
] | 2 | 2021-04-01T12:14:59.000Z | 2021-06-18T13:04:39.000Z | import gym
import numpy as np
from gibson2.robots.robot_locomotor import LocomotorRobot
class Turtlebot(LocomotorRobot):
"""
Turtlebot robot
Reference: http://wiki.ros.org/Robots/TurtleBot
Uses joint velocity control
"""
def __init__(self, config):
self.config = config
self.v... | 35.611111 | 93 | 0.50598 |
ff75bbe5f5f96f591365302a6a0ea64a70faba53 | 950 | py | Python | reporting_scripts/activity_count_completers.py | andyzsf/edx_data_research | 07a587edb1dc4797f116bfeb60ffecbf4ce5bd7a | [
"MIT"
] | null | null | null | reporting_scripts/activity_count_completers.py | andyzsf/edx_data_research | 07a587edb1dc4797f116bfeb60ffecbf4ce5bd7a | [
"MIT"
] | null | null | null | reporting_scripts/activity_count_completers.py | andyzsf/edx_data_research | 07a587edb1dc4797f116bfeb60ffecbf4ce5bd7a | [
"MIT"
] | null | null | null | '''
This module gets the number of completers who did each activity
'''
import csv
from datetime import datetime
from collections import defaultdict
import sys
from base_edx import EdXConnection
connection = EdXConnection('tracking' )
collection = connection.get_access_to_collection()
with open('csv_files/McGillX_CH... | 50 | 441 | 0.708421 |
ff75cbbc4445a6748ca4b7f11d2d10157b3789d1 | 86 | py | Python | autogenfiles/__main__.py | jtemporal/autogenfiles | d8f489be2add8e127c60272d9a038ada716bf0c0 | [
"MIT"
] | 2 | 2021-07-27T13:50:28.000Z | 2021-11-30T12:25:21.000Z | autogenfiles/__main__.py | jtemporal/autogenfiles | d8f489be2add8e127c60272d9a038ada716bf0c0 | [
"MIT"
] | 5 | 2021-07-26T13:50:27.000Z | 2022-01-27T12:53:24.000Z | autogenfiles/__main__.py | jtemporal/autogenfiles | d8f489be2add8e127c60272d9a038ada716bf0c0 | [
"MIT"
] | null | null | null | from .autogenfiles import AutoGenFiles
if __name__ == '__main__':
AutoGenFiles()
| 17.2 | 38 | 0.744186 |
ff76035f2743607c6f7af12753418d593739ee55 | 3,835 | py | Python | mypy/maptype.py | cocoatomo/mypy | f8c3550b9405bf419aa1e0d6f7eb56dc10565a89 | [
"PSF-2.0"
] | null | null | null | mypy/maptype.py | cocoatomo/mypy | f8c3550b9405bf419aa1e0d6f7eb56dc10565a89 | [
"PSF-2.0"
] | null | null | null | mypy/maptype.py | cocoatomo/mypy | f8c3550b9405bf419aa1e0d6f7eb56dc10565a89 | [
"PSF-2.0"
] | 1 | 2020-03-24T05:28:58.000Z | 2020-03-24T05:28:58.000Z | from typing import Dict, List
from mypy.expandtype import expand_type
from mypy.nodes import TypeInfo
from mypy.types import Type, TypeVarId, Instance, AnyType
def map_instance_to_supertype(instance: Instance,
superclass: TypeInfo) -> Instance:
"""Produce a supertype of `instance` t... | 37.598039 | 95 | 0.63781 |
ff7608150ce04671d8ed44616d3ab8b7bd4d6628 | 7,524 | py | Python | Non_DL_models/LR/run_model.py | YinpeiDai/NAUM | d8328b8c10ab26b069bfa12176d7b39c260acafc | [
"MIT"
] | 21 | 2018-08-27T15:54:30.000Z | 2022-03-13T12:34:21.000Z | Non_DL_models/LR/run_model.py | YinpeiDai/NAUM | d8328b8c10ab26b069bfa12176d7b39c260acafc | [
"MIT"
] | 2 | 2020-10-26T15:39:37.000Z | 2021-02-07T02:50:41.000Z | Non_DL_models/LR/run_model.py | YinpeiDai/NAUM | d8328b8c10ab26b069bfa12176d7b39c260acafc | [
"MIT"
] | 3 | 2018-12-24T12:50:10.000Z | 2021-02-16T13:24:59.000Z | '''
bog-of-words + logistic regression
'''
import numpy as np
import json, os, pickle
import tensorflow as tf
from ..input_data import DatasetManager
from .model import LogisticRgression
from utils import F1_score
class Run_LR_BOW:
def __init__(self, **kwargs):
self.save_dir = kwargs['save_dir']
... | 49.176471 | 133 | 0.510101 |
ff7609127abcd3aae53633b4ae292001390dcb58 | 1,293 | py | Python | examples/labs/need_data/demo_ward_clustering.py | matthew-brett/nipy | 5a3f080f2504f8b2c326677ea2e3101344b3f579 | [
"BSD-3-Clause"
] | null | null | null | examples/labs/need_data/demo_ward_clustering.py | matthew-brett/nipy | 5a3f080f2504f8b2c326677ea2e3101344b3f579 | [
"BSD-3-Clause"
] | 1 | 2015-09-09T07:49:57.000Z | 2015-09-25T01:50:40.000Z | examples/labs/need_data/demo_ward_clustering.py | matthew-brett/nipy | 5a3f080f2504f8b2c326677ea2e3101344b3f579 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
This shows the effect of ward clustering on a real fMRI dataset
Author: Bertrand Thirion, 2010
"""
print __doc__
from os import mkdir, getcwd, path
import numpy as np
from niba... | 25.86 | 73 | 0.739366 |
ff7615a1d24e0528eefe63b583630a4763e41b7f | 30,909 | py | Python | zerver/tests/test_reactions.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | null | null | null | zerver/tests/test_reactions.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | null | null | null | zerver/tests/test_reactions.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import ujson
from django.http import HttpResponse
from typing import Any, Dict, List, Mapping, Text
from unittest import mock
from zerver.lib.emoji import emoji_name_to_emoji_code
from zerver.lib.request import JsonableError
from zerver.lib.test_helpers import tornado_redirected_to_list, get_d... | 41.656334 | 115 | 0.625805 |
ff761c3f98bae325babe07248b9f32acd9b6dc7d | 1,036 | py | Python | 06_face_ppl__car_detection/045_eye_face_detection.py | megatran/selflearning_openCV_ComputerVision | 9977c72451e5db6d581621f9bba6475020df493b | [
"MIT"
] | 3 | 2016-12-22T01:41:12.000Z | 2018-04-03T14:26:16.000Z | 06_face_ppl__car_detection/045_eye_face_detection.py | megatran/selflearning_openCV_ComputerVision | 9977c72451e5db6d581621f9bba6475020df493b | [
"MIT"
] | null | null | null | 06_face_ppl__car_detection/045_eye_face_detection.py | megatran/selflearning_openCV_ComputerVision | 9977c72451e5db6d581621f9bba6475020df493b | [
"MIT"
] | null | null | null | import cv2
import numpy as np
face_classifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_classifier = cv2.CascadeClassifier('haarcascade_eye.xml')
#load image then convert to gray scale
source_input = "/Users/nhant/Google Drive/OnlineLearning/selflearning_CV_with_Python/practice_sources/images... | 31.393939 | 119 | 0.702703 |
ff764ee9ff484427d2a40095bf405bde16c38b00 | 522 | py | Python | wasmtime/_store.py | alexcrichton/wasmtime-py | 90ba6da0a0c5e8a13bdc28c019330f71067823df | [
"Apache-2.0"
] | 4 | 2020-03-25T20:55:29.000Z | 2020-03-26T08:57:43.000Z | wasmtime/_store.py | alexcrichton/wasmtime-py | 90ba6da0a0c5e8a13bdc28c019330f71067823df | [
"Apache-2.0"
] | null | null | null | wasmtime/_store.py | alexcrichton/wasmtime-py | 90ba6da0a0c5e8a13bdc28c019330f71067823df | [
"Apache-2.0"
] | null | null | null | from ._ffi import *
from ctypes import *
from wasmtime import Engine
dll.wasm_store_new.restype = P_wasm_store_t
class Store(object):
def __init__(self, engine=None):
if engine is None:
engine = Engine()
elif not isinstance(engine, Engine):
raise TypeError("expected an Eng... | 26.1 | 57 | 0.651341 |
ff7661d401e261d03dbf5b6f4f847906d0e1669e | 2,617 | py | Python | snowfall/generalization/loss_regularizers.py | AminRezaei0x443/SnowFall | daf9c4310f6c8129a65149e563beec52f99b479f | [
"MIT"
] | 1 | 2021-11-18T08:48:52.000Z | 2021-11-18T08:48:52.000Z | snowfall/generalization/loss_regularizers.py | AminRezaei0x443/SnowFall | daf9c4310f6c8129a65149e563beec52f99b479f | [
"MIT"
] | null | null | null | snowfall/generalization/loss_regularizers.py | AminRezaei0x443/SnowFall | daf9c4310f6c8129a65149e563beec52f99b479f | [
"MIT"
] | 2 | 2021-11-18T08:48:53.000Z | 2022-03-30T13:03:17.000Z | import torch
from snowfall.losses import Loss
class LossRegularizer(Loss):
def __init__(self, loss, lambda_):
super().__init__()
# set loss
if isinstance(loss, str):
if Loss.has(loss):
loss = Loss.get(loss)
self.loss = loss
else:
... | 36.859155 | 104 | 0.602216 |
ff766a5e209d17dbe348b749f077ab2cf46ca636 | 26,659 | py | Python | ginga/AstroImage.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | ginga/AstroImage.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | ginga/AstroImage.py | Cadair/ginga | 5afdd8824f27c7ae7d8d82b5013b0ff0068bd8b8 | [
"BSD-3-Clause"
] | null | null | null | #
# AstroImage.py -- Abstraction of an astronomical data image.
#
# Eric Jeschke (eric@naoj.org)
#
# Copyright (c) Eric R. Jeschke. All rights reserved.
# This is open-source software licensed under a BSD license.
# Please see the file LICENSE.txt for details.
#
import sys, os
import re
import math
import logging
imp... | 36.17232 | 92 | 0.537117 |
ff7676c5d8311120383fbbfd19985b1ca893f54c | 615 | py | Python | ooni/tests/test_mutate.py | irl/ooni-probe | c21861c28ca6bd667715872d099006fab87222fd | [
"BSD-2-Clause"
] | 24 | 2018-12-23T12:53:57.000Z | 2022-01-19T19:50:53.000Z | ooni/tests/test_mutate.py | Acidburn0zzz/ooni-probe | 22720e383093c0d30fd1b6ca44794d3b29031f91 | [
"BSD-2-Clause"
] | 64 | 2018-09-13T08:26:20.000Z | 2022-02-11T03:48:34.000Z | ooni/tests/test_mutate.py | Acidburn0zzz/ooni-probe | 22720e383093c0d30fd1b6ca44794d3b29031f91 | [
"BSD-2-Clause"
] | 9 | 2019-06-10T01:41:48.000Z | 2022-01-08T08:46:25.000Z | import unittest
from ooni.kit import daphn3
class TestDaphn3(unittest.TestCase):
def test_mutate_string(self):
original_string = '\x00\x00\x00'
mutated = daphn3.daphn3MutateString(original_string, 1)
self.assertEqual(mutated, '\x00\x01\x00')
def test_mutate_daphn3(self):
origi... | 34.166667 | 68 | 0.593496 |
ff76b028259d4acb509f33e0291f93d8c576ba35 | 14,695 | py | Python | algutil/pipette_server/pipetteClient.py | broadinstitute/btl_firecloud | ba331df29c4c693d9ea54a8dc35e25a0978e0cc0 | [
"BSD-3-Clause"
] | 2 | 2017-02-14T14:32:16.000Z | 2017-04-12T17:46:29.000Z | algutil/pipette_server/pipetteClient.py | broadinstitute/btl_firecloud | ba331df29c4c693d9ea54a8dc35e25a0978e0cc0 | [
"BSD-3-Clause"
] | 47 | 2017-01-26T19:16:04.000Z | 2017-06-21T02:06:28.000Z | algutil/pipette_server/pipetteClient.py | broadinstitute/btl_firecloud | ba331df29c4c693d9ea54a8dc35e25a0978e0cc0 | [
"BSD-3-Clause"
] | null | null | null | import string
import random
import datetime
import time
import os
import sys
import platform
import getpass
class PipetteClient:
def __init__(self, pipelineOutDir,
pipelineName='NamelessPipeline',
defaultCaching='False',
defaultCleanUpJobFilesOnFail='... | 42.718023 | 167 | 0.601497 |
ff76dea7323f4c1fe87a8b164f83e3dc1521e9b3 | 12,655 | py | Python | ThirdParty/Twisted/twisted/internet/epollreactor.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | 1 | 2021-10-13T01:57:14.000Z | 2021-10-13T01:57:14.000Z | ThirdParty/Twisted/twisted/internet/epollreactor.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | null | null | null | ThirdParty/Twisted/twisted/internet/epollreactor.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | 5 | 2015-10-09T04:12:29.000Z | 2021-12-15T16:57:11.000Z | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
An epoll() based implementation of the twisted main loop.
To install the event loop (and you should do this before any connections,
listeners or connectors are added)::
from twisted.internet import epollreactor
epollreactor.install()... | 31.876574 | 80 | 0.606875 |
ff76e33274c4c137994dbf6b3ed729735fb4491a | 2,375 | py | Python | revolt/ext/commands/errors.py | byemc/revolt.py | 0e8cd7250b7da71ebec3800167cd104dfb007741 | [
"MIT"
] | 28 | 2021-08-17T23:25:48.000Z | 2021-12-16T00:13:05.000Z | revolt/ext/commands/errors.py | byemc/revolt.py | 0e8cd7250b7da71ebec3800167cd104dfb007741 | [
"MIT"
] | 14 | 2021-08-31T06:00:12.000Z | 2021-12-28T22:59:08.000Z | revolt/ext/commands/errors.py | byemc/revolt.py | 0e8cd7250b7da71ebec3800167cd104dfb007741 | [
"MIT"
] | 12 | 2021-08-18T00:55:53.000Z | 2021-11-20T16:58:18.000Z | from revolt import RevoltError
__all__ = (
"CommandError",
"CommandNotFound",
"NoClosingQuote",
"CheckError",
"NotBotOwner",
"NotServerOwner",
"ServerOnly",
"ConverterError",
"InvalidLiteralArgument",
"BadBoolArgument",
"CategoryConverterError",
"ChannelConverterError",
... | 28.27381 | 72 | 0.703158 |
ff7733d331a1c8215e4248cb86e7ac53795df268 | 1,760 | py | Python | experiments/figures_from_results/inpainting_patch_rho.py | bmalezieux/plipy | 35d17cad908219013fa43d81c4aeb6bb46ce9384 | [
"MIT"
] | 2 | 2021-07-15T04:51:20.000Z | 2022-01-01T14:20:59.000Z | experiments/figures_from_results/inpainting_patch_rho.py | bmalezieux/plipy | 35d17cad908219013fa43d81c4aeb6bb46ce9384 | [
"MIT"
] | null | null | null | experiments/figures_from_results/inpainting_patch_rho.py | bmalezieux/plipy | 35d17cad908219013fa43d81c4aeb6bb46ce9384 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
from pathlib import Path
try:
os.mkdir("../figures")
except OSError:
pass
def compute_scores(df, name):
value = df.loc[(data["name"] == name)]
patches = value.m_patch.unique()
rhos = value.rho.unique()
xx, y... | 25.142857 | 75 | 0.584091 |
ff7751f8e1d4f2297437134f5a3666baa59ccc55 | 5,798 | py | Python | client_encryption/api_encryption.py | Mastercard/client-encryption-python | d65a71ce2b9c81942a8334a24d9dbaa723a1d08e | [
"MIT"
] | 16 | 2019-02-21T15:08:59.000Z | 2021-10-03T13:04:28.000Z | client_encryption/api_encryption.py | Mastercard/client-encryption-python | d65a71ce2b9c81942a8334a24d9dbaa723a1d08e | [
"MIT"
] | 6 | 2019-06-10T12:10:54.000Z | 2022-02-07T16:36:52.000Z | client_encryption/api_encryption.py | Mastercard/client-encryption-python | d65a71ce2b9c81942a8334a24d9dbaa723a1d08e | [
"MIT"
] | 6 | 2019-12-20T20:20:28.000Z | 2022-02-10T05:33:23.000Z | import json
import inspect
from functools import wraps
from warnings import warn
from client_encryption.field_level_encryption_config import FieldLevelEncryptionConfig
from client_encryption.session_key_params import SessionKeyParams
from client_encryption.field_level_encryption import encrypt_payload, decrypt_payload
... | 41.120567 | 117 | 0.69662 |
ff7761a80545498160415713bb0702c8fbb60702 | 1,673 | py | Python | quest/pycocoevalcap/cider/cider.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | quest/pycocoevalcap/cider/cider.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | quest/pycocoevalcap/cider/cider.py | shuokabe/deepQuest-mod | 7140a57c30deedb0570bc835c6ad3c848f0039f4 | [
"BSD-3-Clause"
] | null | null | null | # Filename: cider.py
#
# Description: Describes the class to compute the CIDEr (Consensus-Based Image Description Evaluation) Metric
# by Vedantam, Zitnick, and Parikh (http://arxiv.org/abs/1411.5726)
#
# Creation Date: Sun Feb 8 14:16:54 2015
#
# Authors: Ramakrishna Vedantam <vrama91@vt.edu> and Tsung... | 29.875 | 124 | 0.607292 |
ff77729dd82e3390d917ad63690001d30ce15849 | 1,304 | py | Python | smartmin/csv_imports/tasks.py | jaynandu/smartmin | b232e3a218b042e21b51c3ff028c6985d115cde0 | [
"BSD-3-Clause"
] | null | null | null | smartmin/csv_imports/tasks.py | jaynandu/smartmin | b232e3a218b042e21b51c3ff028c6985d115cde0 | [
"BSD-3-Clause"
] | null | null | null | smartmin/csv_imports/tasks.py | jaynandu/smartmin | b232e3a218b042e21b51c3ff028c6985d115cde0 | [
"BSD-3-Clause"
] | null | null | null | from io import StringIO
from celery.task import task
from django.utils import timezone
from django.utils.module_loading import import_string
from .models import ImportTask
@task(track_started=True)
def csv_import(task_id): # pragma: no cover
task_obj = ImportTask.objects.get(pk=task_id)
log = StringIO()
... | 27.166667 | 88 | 0.663344 |
ff7779dc962f4bad30306c2554fd5c0ee4551aad | 1,086 | py | Python | alipay/aop/api/response/AlipayIserviceCcmServiceBuyResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipayIserviceCcmServiceBuyResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipayIserviceCcmServiceBuyResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayIserviceCcmServiceBuyResponse(AlipayResponse):
def __init__(self):
super(AlipayIserviceCcmServiceBuyResponse, self).__init__()
self._service_instance_id = None
... | 30.166667 | 108 | 0.713628 |
ff777a78ef5b24340414fffe41afad3c597db331 | 592 | py | Python | tests/test_LocalRunner.py | NVSL/fiddle | 5edffa92caa0894057a449ad5accb23af748e657 | [
"MIT"
] | 2 | 2022-01-22T06:12:52.000Z | 2022-01-24T07:29:44.000Z | tests/test_LocalRunner.py | NVSL/cfiddle | 5edffa92caa0894057a449ad5accb23af748e657 | [
"MIT"
] | null | null | null | tests/test_LocalRunner.py | NVSL/cfiddle | 5edffa92caa0894057a449ad5accb23af748e657 | [
"MIT"
] | null | null | null | from cfiddle import *
from util import *
from fixtures import *
from cfiddle.Runner import RunnerException
def test_hello_world(test_cpp):
invocation = InvocationDescription(test_cpp, function="simple_print", arguments=dict(a=1, b=2, c=3))
runner = LocalRunner(invocation)
invocation_result = runner.ru... | 32.888889 | 104 | 0.743243 |
ff7794d631bb18484082f8ca9595000fbdb3b468 | 16,300 | py | Python | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_5.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | 1 | 2019-06-27T04:05:59.000Z | 2019-06-27T04:05:59.000Z | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_5.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | DeepLearning/DeepLearning/02_Deep_ChoTH/deep_learning_5.py | ghost9023/DeepLearningPythonStudy | 4d319c8729472cc5f490935854441a2d4b4e8818 | [
"MIT"
] | null | null | null | ## CHAPTER 5 오차역전파법
# 앞에서는 신경망의 가중치 매개변수의 기울기는 수치미분을 사용해 구했다.
# 수치미분은 단순하고 구현하기 쉽지만 계산시간이 오래 걸린다는 단점이 있다.
# 이번장은 가중치 매개변수의 기울기를 효율적으로 계산하는 '오차역전파법'을 배워보자
# 오차역전파법을 제대로 이해하는 방법은 두 가지가 있다.
# 1. 수식을 통해 - 정확하고 간결함
# 2. 계산 그래프를 통해 - 시각적으로!! 본질에 다가가기 쉬움
# 계산그래프
# 노드와 엣지로 표현된다.
# 계산그래프로 풀다.
# 1. 계산그래프를 구성한다.
# 2. 그래프에서 계산을 ... | 31.226054 | 111 | 0.587546 |
ff77e8e8729b3d15ff56d3dc21de605955914112 | 329 | py | Python | ncortex/optimization/test/test_trajopt.py | pvarin/ncortex | e0c1cd1815148649920db100e6c8d006312ea408 | [
"MIT"
] | null | null | null | ncortex/optimization/test/test_trajopt.py | pvarin/ncortex | e0c1cd1815148649920db100e6c8d006312ea408 | [
"MIT"
] | null | null | null | ncortex/optimization/test/test_trajopt.py | pvarin/ncortex | e0c1cd1815148649920db100e6c8d006312ea408 | [
"MIT"
] | null | null | null | ''' Test the trajectory optimization procedures.
'''
import tensorflow as tf
class TestTrajOpt(tf.test.TestCase):
''' Test the trajectory optimization procedures.
'''
def test_naive_trajopt(self):
''' Test the naive_trajopt function.
'''
pass
if __name__ == '__main__':
tf.tes... | 19.352941 | 52 | 0.647416 |
ff7808af9ea633820942d9ba256e467521524d7b | 524 | py | Python | scripts/faithfulness/input-gender/delete_words.py | shuoyangd/tarsius | b9c46eb53437cbd5239b6d23baf819f5ea4c2db6 | [
"MIT"
] | 1 | 2021-07-08T09:00:53.000Z | 2021-07-08T09:00:53.000Z | scripts/faithfulness/input-gender/delete_words.py | shuoyangd/tarsius | b9c46eb53437cbd5239b6d23baf819f5ea4c2db6 | [
"MIT"
] | null | null | null | scripts/faithfulness/input-gender/delete_words.py | shuoyangd/tarsius | b9c46eb53437cbd5239b6d23baf819f5ea4c2db6 | [
"MIT"
] | null | null | null | import sys
wordlist = [
"aunt",
"boy",
"bride",
"brother",
"daughter",
"father",
"girl",
"granddaughter",
"grandfather",
"grandmother",
"grandson",
"groom",
"husband",
"lady",
"lord",
"man",
"monk",
"mother",
"nun",
"sister",
"son",
"uncle",
"wife",
"woman"
]
for line i... | 13.435897 | 41 | 0.530534 |
ff784232629e4dbaf04d7498e4880e32cb6de878 | 3,219 | py | Python | exp/test.py | yjy941124/PPR-FCN | 1eba5515b37e7b32413efdf14bb0c22a2e46fee9 | [
"MIT"
] | 20 | 2017-10-16T18:12:51.000Z | 2021-12-23T02:34:20.000Z | exp/test.py | yjy941124/PPR-FCN | 1eba5515b37e7b32413efdf14bb0c22a2e46fee9 | [
"MIT"
] | 1 | 2018-11-10T04:59:48.000Z | 2021-01-21T04:51:31.000Z | exp/test.py | yjy941124/PPR-FCN | 1eba5515b37e7b32413efdf14bb0c22a2e46fee9 | [
"MIT"
] | 5 | 2017-10-17T00:54:42.000Z | 2018-04-08T15:09:40.000Z | import gensim
import _init_paths
import utils.zl_utils as zl
from numpy.random import randn
from sklearn.decomposition import sparse_encode
import numpy as np
from sklearn.decomposition import SparseCoder
import pycocotools.coco as coco
import random
import zl_config as C
n = m = 100 # dimensions of our input
input_x =... | 32.846939 | 108 | 0.639329 |
ff786b72be057e86e1f5dfec82f3cdf16c419a78 | 440 | py | Python | Spacy/source2.7/thinc/about.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2018-10-30T07:19:27.000Z | 2018-10-30T07:19:27.000Z | Spacy/source2.7/thinc/about.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2021-06-10T20:20:30.000Z | 2021-06-10T20:20:30.000Z | Spacy/source2.7/thinc/about.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2020-11-18T06:18:15.000Z | 2020-11-18T06:18:15.000Z | # inspired from:
# https://python-packaging-user-guide.readthedocs.org/en/latest/single_source_version/
# https://github.com/pypa/warehouse/blob/master/warehouse/__about__.py
__name__ = 'thinc'
__version__ = '6.10.2'
__summary__ = "Practical Machine Learning for NLP"
__uri__ = 'https://github.com/explosion/thinc'
__a... | 29.333333 | 86 | 0.765909 |
ff786ed573ab829d486b33f3c7af392338a88da3 | 2,745 | py | Python | setup.py | aplbrain/tamarind | a58964102152f4bb550e4948a54c9725ed904177 | [
"Apache-2.0"
] | 3 | 2019-07-30T18:38:20.000Z | 2022-02-06T18:25:46.000Z | setup.py | aplbrain/tamarind | a58964102152f4bb550e4948a54c9725ed904177 | [
"Apache-2.0"
] | 2 | 2019-07-30T17:59:45.000Z | 2019-09-04T20:35:56.000Z | setup.py | aplbrain/tamarind | a58964102152f4bb550e4948a54c9725ed904177 | [
"Apache-2.0"
] | 1 | 2019-03-27T15:15:50.000Z | 2019-03-27T15:15:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
# Package meta-data.
NAME = "tamarind"
DESCRIPTION = "More Neo4j than ... | 26.650485 | 86 | 0.649545 |
ff789221f72d3fe1c7f153f737a0fe2776aff629 | 1,433 | py | Python | src/evaluation/indexs_from_reprs/indexs.py | rgalhama/public_ICCM2021 | 6a528a26c649da0843b7acbc785aa99b80d29a74 | [
"MIT"
] | null | null | null | src/evaluation/indexs_from_reprs/indexs.py | rgalhama/public_ICCM2021 | 6a528a26c649da0843b7acbc785aa99b80d29a74 | [
"MIT"
] | null | null | null | src/evaluation/indexs_from_reprs/indexs.py | rgalhama/public_ICCM2021 | 6a528a26c649da0843b7acbc785aa99b80d29a74 | [
"MIT"
] | null | null | null | """
Author : Raquel G. Alhama
Desc:
"""
from evaluation.indexs_from_reprs.similarities import *
"""
Indexs of neighbourhood density computed from representations.
"""
def indegree_known(test_words_aoa, representations, threshold, output_fpath):
"""
Computes neighbourhood density, only for words known so f... | 24.288136 | 79 | 0.673412 |
ff78b4d098519f1b4484a5f4a9e60abb2f49cd09 | 300,815 | py | Python | ui/mainwindow.py | gronchi/mpts | 5e33e885b099a337c0cadc78840dd2c216a6d9df | [
"MIT"
] | null | null | null | ui/mainwindow.py | gronchi/mpts | 5e33e885b099a337c0cadc78840dd2c216a6d9df | [
"MIT"
] | null | null | null | ui/mainwindow.py | gronchi/mpts | 5e33e885b099a337c0cadc78840dd2c216a6d9df | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'mainwindow.ui'
#
# Created by: PyQt5 UI code generator 5.9.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWi... | 61.794371 | 414 | 0.724661 |
ff78c44265bf16819054befc44d595d30ada905a | 813 | py | Python | app/ml/objects/imputation/factory.py | PSE-TECO-2020-TEAM1/e2e-ml_model-management | 7f01a008648e25a29c639a5e16124b2e399eb821 | [
"MIT"
] | 1 | 2021-05-04T08:46:19.000Z | 2021-05-04T08:46:19.000Z | app/ml/objects/imputation/factory.py | PSE-TECO-2020-TEAM1/e2e-ml_model-management | 7f01a008648e25a29c639a5e16124b2e399eb821 | [
"MIT"
] | null | null | null | app/ml/objects/imputation/factory.py | PSE-TECO-2020-TEAM1/e2e-ml_model-management | 7f01a008648e25a29c639a5e16124b2e399eb821 | [
"MIT"
] | 1 | 2022-01-28T21:21:32.000Z | 2022-01-28T21:21:32.000Z | from app.ml.objects.imputation import Imputation
from sklearn.impute import SimpleImputer
from pyts.preprocessing import InterpolationImputer
imputer_factory_dict = {
Imputation.MEAN_IMPUTATION: lambda: SimpleImputer(strategy="mean"),
Imputation.ZERO_INTERPOLATION: lambda: InterpolationImputer(strategy="zero")... | 47.823529 | 91 | 0.814268 |
ff78e2496ed22b89201ccbd2dc3aa60dc85ac066 | 7,344 | py | Python | HardNet.py | Childhoo/Chen_Matcher | ca89a4774a083d10177186020c35f60c3e8b7b37 | [
"MIT"
] | null | null | null | HardNet.py | Childhoo/Chen_Matcher | ca89a4774a083d10177186020c35f60c3e8b7b37 | [
"MIT"
] | null | null | null | HardNet.py | Childhoo/Chen_Matcher | ca89a4774a083d10177186020c35f60c3e8b7b37 | [
"MIT"
] | null | null | null | import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
import time
import os
import math
import numpy as np
class L2Norm(nn.Module):
def __init__(self):
super(L2Norm,self).__init__()
self.eps = 1e-8
... | 36.904523 | 155 | 0.564679 |
ff7917aad5462e1736ddb9a8e8daab7e05655e9c | 682 | py | Python | alipay/aop/api/response/AlipayOpenFileUploadResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/response/AlipayOpenFileUploadResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/response/AlipayOpenFileUploadResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayOpenFileUploadResponse(AlipayResponse):
def __init__(self):
super(AlipayOpenFileUploadResponse, self).__init__()
self._file_id = None
@property
def fil... | 26.230769 | 101 | 0.70088 |
ff79269b6f2b247c52bc17e5ce0b7d18bdb0c22d | 1,288 | py | Python | appengine/findit/pipelines/test_failure/test/heuristic_analysis_for_test_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 2 | 2021-04-13T21:22:18.000Z | 2021-09-07T02:11:57.000Z | appengine/findit/pipelines/test_failure/test/heuristic_analysis_for_test_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 21 | 2020-09-06T02:41:05.000Z | 2022-03-02T04:40:01.000Z | appengine/findit/pipelines/test_failure/test/heuristic_analysis_for_test_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import mock
from testing_utils import testing
from gae_libs.pipelines import pipeline_handlers
from pipelines.test_failure.heuristic_analysis_for_test_pipel... | 39.030303 | 73 | 0.802795 |
ff793a205ce4ccb214a6133f3d23e6387dfd968d | 8,797 | py | Python | data_profiler/tests/profilers/test_numeric_stats_mixin_profile.py | taylorfturner/data-profiler | da416d1ccaed4b04d2e5b93da41a508de58b642e | [
"Apache-2.0"
] | 1 | 2021-02-13T21:53:16.000Z | 2021-02-13T21:53:16.000Z | data_profiler/tests/profilers/test_numeric_stats_mixin_profile.py | taylorfturner/data-profiler | da416d1ccaed4b04d2e5b93da41a508de58b642e | [
"Apache-2.0"
] | null | null | null | data_profiler/tests/profilers/test_numeric_stats_mixin_profile.py | taylorfturner/data-profiler | da416d1ccaed4b04d2e5b93da41a508de58b642e | [
"Apache-2.0"
] | null | null | null | import os
import unittest
from unittest import mock
from collections import defaultdict
import pandas as pd
import numpy as np
from data_profiler.profilers import NumericStatsMixin
test_root_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
class TestColumn(NumericStatsMixin):
def __init__(s... | 35.047809 | 79 | 0.565534 |
ff7943e8a26464f43e6663ec4afad97c4bff2707 | 3,334 | py | Python | tests/test_city_detector.py | slava-kerner/cityfinder | f4bd1b53b6970492f168dc13e990e56d7e75e2e4 | [
"BSD-2-Clause"
] | null | null | null | tests/test_city_detector.py | slava-kerner/cityfinder | f4bd1b53b6970492f168dc13e990e56d7e75e2e4 | [
"BSD-2-Clause"
] | null | null | null | tests/test_city_detector.py | slava-kerner/cityfinder | f4bd1b53b6970492f168dc13e990e56d7e75e2e4 | [
"BSD-2-Clause"
] | null | null | null | import os
import itertools
import rasterio
from PIL import Image
import numpy as np
import unittest
from cityfinder.city_detector import CityDetector
from cityfinder.city_vector import CityVector, israel, israel_utm, match
GEOGRAPHIC = {'init': 'EPSG:4326'}
UTM = {'init': 'EPSG:32636'}
class TestCityDetector(unitt... | 37.044444 | 127 | 0.604379 |
ff7950755a77815861be60732f10436fc82598b9 | 3,722 | py | Python | blue-button.py/bluebutton/server_handlers.py | LinuxForHealth/connect-clients | 69902ebfb12a4c0f308eb62874571b5fc174ffbe | [
"Apache-2.0"
] | null | null | null | blue-button.py/bluebutton/server_handlers.py | LinuxForHealth/connect-clients | 69902ebfb12a4c0f308eb62874571b5fc174ffbe | [
"Apache-2.0"
] | 6 | 2021-07-13T19:58:58.000Z | 2021-11-02T21:25:14.000Z | blue-button.py/bluebutton/server_handlers.py | LinuxForHealth/connect-clients | 69902ebfb12a4c0f308eb62874571b5fc174ffbe | [
"Apache-2.0"
] | 1 | 2021-07-13T19:22:04.000Z | 2021-07-13T19:22:04.000Z | import logging
import logging.config
import os
import sys
import yaml
from bluebutton.config import get_settings
from fastapi import HTTPException, Request
from fastapi.responses import JSONResponse
from yaml import YAMLError
logger = logging.getLogger(__name__)
def add_trace_logging():
"""
Adds trace level... | 34.785047 | 106 | 0.68619 |
ff7956e4c812ed56f7c672a4cfca3a22f6afab38 | 189 | py | Python | src/onevision/file/handler/__init__.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | 2 | 2022-03-28T09:46:38.000Z | 2022-03-28T14:12:32.000Z | src/onevision/file/handler/__init__.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | src/onevision/file/handler/__init__.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from .base import *
from .json_handler import *
from .pickle_handler import *
from .xml_handler import *
from .yaml_handler import *
| 15.75 | 29 | 0.677249 |
ff79675a5bb97d20e450715782608bf1d651567d | 226 | py | Python | randompass2.py | abkumarggn/python-learning-1 | df45396cd14f5762053728760953b3806d0069b6 | [
"Apache-2.0"
] | null | null | null | randompass2.py | abkumarggn/python-learning-1 | df45396cd14f5762053728760953b3806d0069b6 | [
"Apache-2.0"
] | null | null | null | randompass2.py | abkumarggn/python-learning-1 | df45396cd14f5762053728760953b3806d0069b6 | [
"Apache-2.0"
] | null | null | null | import string
import random
def randompassword():
chars=string.ascii_uppercase + string.ascii_lowercase + string.digits
size=10
return ''.join(random.choice(chars) for x in range(size,20))
print(randompassword()) | 25.111111 | 73 | 0.747788 |
ff799cd07e944100c1ebc137483ea851f3596710 | 77,608 | py | Python | myenv/lib/python3.7/site-packages/grpc/__init__.py | theCydonian/AudioEyes | 3dece4529b31e6c63771c4358457962999bda3b4 | [
"MIT"
] | 2 | 2020-05-17T12:53:06.000Z | 2021-04-12T02:13:43.000Z | myenv/lib/python3.7/site-packages/grpc/__init__.py | theCydonian/AudioEyes | 3dece4529b31e6c63771c4358457962999bda3b4 | [
"MIT"
] | null | null | null | myenv/lib/python3.7/site-packages/grpc/__init__.py | theCydonian/AudioEyes | 3dece4529b31e6c63771c4358457962999bda3b4 | [
"MIT"
] | 3 | 2020-06-19T03:21:35.000Z | 2022-02-04T13:29:39.000Z | # Copyright 2015-2016 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 37.546202 | 91 | 0.664133 |
ff79b3a057b8fd6ab3b0edf652a5bede0e2d7b87 | 28,036 | py | Python | tensorflow/python/keras/applications/nasnet.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/python/keras/applications/nasnet.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/python/keras/applications/nasnet.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 26 | 2017-04-12T16:25:44.000Z | 2018-10-30T10:10:15.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.221106 | 132 | 0.615851 |
ff79b7ce8a173c4728261321e3c9f31585c9e6fc | 594 | py | Python | dear_petition/petition/tasks/clean_stale_data.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 4 | 2020-04-01T14:42:45.000Z | 2021-12-12T21:11:11.000Z | dear_petition/petition/tasks/clean_stale_data.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 142 | 2019-08-12T19:08:34.000Z | 2022-03-29T23:05:35.000Z | dear_petition/petition/tasks/clean_stale_data.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 8 | 2020-02-04T20:37:00.000Z | 2021-03-28T13:28:32.000Z | import logging
from datetime import timedelta
from celery import shared_task
from django.utils import timezone
from dear_petition.petition import models as pm
logger = logging.getLogger(__name__)
def clean_stale_data():
now = timezone.now()
stale_time = now - timedelta(hours=48)
stale_data = pm.Batch.o... | 24.75 | 81 | 0.76936 |
ff79deed2e00cb07337530abd49f3426dd467313 | 409 | py | Python | programmers/find_prime.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | programmers/find_prime.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | programmers/find_prime.py | schio/algorithm_test | c240faca428a9adb2970591338d4792b2f4fb7f3 | [
"MIT"
] | null | null | null | # https://programmers.co.kr/learn/courses/30/lessons/12921
def solution(n):
if n <= 2:
return 1
elif n == 3:
return 2
def find_prime(num):
for i in range(2, int(num ** 0.5) + 1):
if num % i == 0:
return False
return True
answer = 1
for nu... | 22.722222 | 58 | 0.513447 |
ff79fd5735c6eaa7c5057e6e317499f7df3815ee | 2,443 | py | Python | test/TestSortMinimal.py | Septaris/das2py | ee657afe706f4aec6e016b17b63a093ed271f7f6 | [
"MIT"
] | null | null | null | test/TestSortMinimal.py | Septaris/das2py | ee657afe706f4aec6e016b17b63a093ed271f7f6 | [
"MIT"
] | null | null | null | test/TestSortMinimal.py | Septaris/das2py | ee657afe706f4aec6e016b17b63a093ed271f7f6 | [
"MIT"
] | null | null | null | """Testing Dataset sorting algorithms"""
import sys
import numpy as np
import das2
# Make a test dataset in the style of a sweep frequency radar sounder.
# This dataset will have values occupying the parameter spaces:
#
# Time, Pulse Frequency, Range, and Spectral Density
#
# That will be mapped to dataset indici... | 23.490385 | 70 | 0.528449 |
ff7a82fd10bdb3632288171332bb6070bfeb077f | 996 | py | Python | taxamo/models/getProductTypesDictOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 4 | 2016-03-14T03:59:08.000Z | 2020-06-21T07:58:38.000Z | taxamo/models/getProductTypesDictOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 2 | 2016-03-07T13:41:23.000Z | 2017-07-11T13:39:44.000Z | taxamo/models/getProductTypesDictOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 8 | 2016-01-13T14:32:19.000Z | 2021-08-16T11:14:06.000Z | #!/usr/bin/env python
"""
Copyright 2014-2021 by Taxamo
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 applic... | 31.125 | 80 | 0.696787 |
ff7a876b93a64931bb1590aa6dc624e992ad8cc8 | 1,482 | py | Python | vsphere/datadog_checks/vsphere/objects_queue.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 4 | 2021-06-21T19:21:49.000Z | 2021-06-23T21:21:55.000Z | vsphere/datadog_checks/vsphere/objects_queue.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | null | null | null | vsphere/datadog_checks/vsphere/objects_queue.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2021-06-21T19:21:51.000Z | 2021-06-21T19:21:51.000Z | # (C) Datadog, Inc. 2010-2017
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import threading
class ObjectsQueue:
"""
Implements a queue to store Mor objects of any type for each instance.
Objects are fill once in batch and then extracted one by one.
The queue is thread sa... | 32.933333 | 74 | 0.632254 |
ff7ab60d37323a752db9149c7fe84b7ff1035cf7 | 4,909 | py | Python | scripts/fb/DesignCircularDeque.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | scripts/fb/DesignCircularDeque.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | 8 | 2020-09-05T16:04:31.000Z | 2022-02-27T09:57:51.000Z | scripts/fb/DesignCircularDeque.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | """
Design Circular Deque
Design your implementation of the circular double-ended queue (deque).
Implement the MyCircularDeque class:
MyCircularDeque(int k) Initializes the deque with a maximum size of k.
boolean insertFront() Adds an item at the front of Deque. Returns true if the operation is successful, or false... | 33.855172 | 139 | 0.603178 |
ff7adad247ab9d840f07723db772f0d60125b06e | 255 | py | Python | src/main/py/com/example/utils/SparkUtils.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-07-18T16:23:56.000Z | 2021-07-18T16:23:56.000Z | src/main/py/com/example/utils/SparkUtils.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/main/py/com/example/utils/SparkUtils.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from pyspark.sql import SparkSession
def getSparkSession(name=None, conf=None):
#appName = name if name is None else ""
spark = SparkSession.builder.appName(name).getOrCreate(conf=conf)
spark.sparkContext.setLogLevel("WARN")
return spark | 31.875 | 69 | 0.745098 |
ff7adaed40ff70b9e7af4baa06db990b452fc242 | 1,326 | py | Python | utils/functional.py | talcron/frame-prediction-pytorch | 1a2fcc56c89ff031c2eba0547c5c898c6f8c3eab | [
"Apache-2.0"
] | 6 | 2021-02-16T22:30:40.000Z | 2022-02-17T06:44:11.000Z | utils/functional.py | talcron/frame-prediction-pytorch | 1a2fcc56c89ff031c2eba0547c5c898c6f8c3eab | [
"Apache-2.0"
] | null | null | null | utils/functional.py | talcron/frame-prediction-pytorch | 1a2fcc56c89ff031c2eba0547c5c898c6f8c3eab | [
"Apache-2.0"
] | null | null | null | from typing import Tuple
import torch
from utils.matrix_sqrt import sqrt_newton_schulz as sqrtm
__all__ = ['stats', 'sqrtm', 'frechet_inception_distance']
def stats(x: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]:
"""
Compute mean and covariance of x.
Args:
x: torch tensor of shape (n_sam... | 28.826087 | 100 | 0.678733 |
ff7b085f5d41e9e251d3c25880b694500f69ffc2 | 3,318 | py | Python | maths/matrix_exponentiation.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | maths/matrix_exponentiation.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | maths/matrix_exponentiation.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | 1 | 2020-06-26T09:46:17.000Z | 2020-06-26T09:46:17.000Z | '''THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND
NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE
DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR OT... | 27.196721 | 90 | 0.649488 |
ff7b27ca33cf3f389de84bef3ce839dcd2abc3ef | 1,892 | py | Python | construct_launcher/actions.py | construct-org/construct_launcher | 72d51a479cb3f0ff0d06830e3497fc0affd568fe | [
"MIT"
] | null | null | null | construct_launcher/actions.py | construct-org/construct_launcher | 72d51a479cb3f0ff0d06830e3497fc0affd568fe | [
"MIT"
] | null | null | null | construct_launcher/actions.py | construct-org/construct_launcher | 72d51a479cb3f0ff0d06830e3497fc0affd568fe | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
__all__ = [
'BaseLauncher',
'new_launcher',
]
from construct import Action
from construct.utils import platform
from construct_launcher.constants import (
SETUP_LAUNCH,
BEFORE_LAUNCH,
LAUNCH,
AFTER_LAUNCH,... | 25.226667 | 72 | 0.631607 |
ff7b3956e9eafe742a86f9591d316473abf75a3a | 10,477 | py | Python | autokeras/utils/utils.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | null | null | null | autokeras/utils/utils.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | null | null | null | autokeras/utils/utils.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The AutoKeras Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 38.947955 | 156 | 0.643218 |
ff7b50f7717739c953d448cf57cbb70a8d586c5c | 15,786 | py | Python | redwind/plugins/wm_receiver.py | kylewm/redwind | 7ad807b5ab2dd74a8d470dbea9dd4baf5567d9c6 | [
"BSD-2-Clause"
] | 35 | 2015-01-08T03:26:39.000Z | 2020-09-16T00:42:17.000Z | redwind/plugins/wm_receiver.py | kylewm/redwind | 7ad807b5ab2dd74a8d470dbea9dd4baf5567d9c6 | [
"BSD-2-Clause"
] | 47 | 2015-01-05T23:22:08.000Z | 2021-02-02T21:43:26.000Z | redwind/plugins/wm_receiver.py | kylewm/redwind | 7ad807b5ab2dd74a8d470dbea9dd4baf5567d9c6 | [
"BSD-2-Clause"
] | 10 | 2015-02-20T00:51:37.000Z | 2022-01-11T10:59:32.000Z | from bs4 import BeautifulSoup
from flask import current_app
from flask import request, make_response, render_template, url_for, Blueprint
from redwind import hooks
from redwind import util
from redwind.extensions import db
from redwind.models import Post, Mention, get_settings
from redwind.tasks import get_queue, async... | 35.002217 | 111 | 0.614469 |
ff7b647456079825cd7fee256de0730d1ff1d09a | 2,213 | py | Python | pymod/index.py | Plexical/pymod.me | b3bf1a8c6e15fa02d1b58a8f296ba60aae60d18a | [
"MIT"
] | 1 | 2016-06-13T19:17:03.000Z | 2016-06-13T19:17:03.000Z | pymod/index.py | Plexical/pymod.me | b3bf1a8c6e15fa02d1b58a8f296ba60aae60d18a | [
"MIT"
] | 3 | 2017-05-10T08:29:20.000Z | 2018-02-07T20:57:16.000Z | pymod/index.py | Plexical/pydoc.me | b3bf1a8c6e15fa02d1b58a8f296ba60aae60d18a | [
"MIT"
] | null | null | null | import os
import requests
from bs4 import BeautifulSoup
from pickle import load, dump
domof = lambda url: BeautifulSoup(requests.get(url).text, 'html.parser')
py3b = 'https://docs.python.org/3'
py2b = 'https://docs.python.org/2'
def modsof(v):
cache = './.py{}mod'.format(v)
if os.path.exists(cache):
... | 33.029851 | 83 | 0.492092 |
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