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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0c6200ff0e4e0bec1acf3bffde906f26e624c332 | 5,980 | py | Python | infra/utils/launch_ec2.py | philipmac/nephele2 | 50acba6b7bb00da6209c75e26c8c040ffacbaa1e | [
"CC0-1.0"
] | 1 | 2021-02-26T23:00:10.000Z | 2021-02-26T23:00:10.000Z | infra/utils/launch_ec2.py | philipmac/nephele2 | 50acba6b7bb00da6209c75e26c8c040ffacbaa1e | [
"CC0-1.0"
] | 1 | 2020-11-16T01:55:06.000Z | 2020-11-16T01:55:06.000Z | infra/utils/launch_ec2.py | philipmac/nephele2 | 50acba6b7bb00da6209c75e26c8c040ffacbaa1e | [
"CC0-1.0"
] | 2 | 2021-08-12T13:59:49.000Z | 2022-01-19T17:16:26.000Z | #!/usr/bin/env python3
import os
import boto3
import botocore.exceptions
import argparse
import yaml
from nephele2 import NepheleError
mand_vars = ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY']
perm_error = """\n\nIt seems you have not set up your AWS correctly.
Should you be running this with Awssume? Or have profile... | 39.084967 | 167 | 0.623746 |
0c6419af7c4ea362b8097a85b3a1cb0ca9746ce0 | 9,196 | py | Python | tests/test_wvlns.py | seignovert/pyvims | a70b5b9b8bc5c37fa43b7db4d15407f312a31849 | [
"BSD-3-Clause"
] | 4 | 2019-09-16T15:50:22.000Z | 2021-04-08T15:32:48.000Z | tests/test_wvlns.py | seignovert/pyvims | a70b5b9b8bc5c37fa43b7db4d15407f312a31849 | [
"BSD-3-Clause"
] | 3 | 2018-05-04T09:28:24.000Z | 2018-12-03T09:00:31.000Z | tests/test_wvlns.py | seignovert/pyvims | a70b5b9b8bc5c37fa43b7db4d15407f312a31849 | [
"BSD-3-Clause"
] | 1 | 2020-10-12T15:14:17.000Z | 2020-10-12T15:14:17.000Z | """Test VIMS wavelength module."""
from pathlib import Path
import numpy as np
from numpy.testing import assert_array_almost_equal as assert_array
from pyvims import QUB
from pyvims.vars import ROOT_DATA
from pyvims.wvlns import (BAD_IR_PIXELS, CHANNELS, FWHM, SHIFT,
VIMS_IR, VIMS_VIS, WLN... | 27.450746 | 79 | 0.605154 |
0c661084ef2dc9a119cb718b8362035d15b03067 | 909 | py | Python | Outliers/loss/losses.py | MakotoTAKAMATSU013/Outliers | 80043027d64b8f07355a05b281925f00bbf1a442 | [
"MIT"
] | null | null | null | Outliers/loss/losses.py | MakotoTAKAMATSU013/Outliers | 80043027d64b8f07355a05b281925f00bbf1a442 | [
"MIT"
] | null | null | null | Outliers/loss/losses.py | MakotoTAKAMATSU013/Outliers | 80043027d64b8f07355a05b281925f00bbf1a442 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F | 34.961538 | 73 | 0.660066 |
0c663401e4bd928831a371cae4be0b6a743a91c8 | 5,783 | py | Python | esiosdata/importdemdata.py | azogue/esiosdata | 680c7918955bc6ceee5bded92b3a4485f5ea8151 | [
"MIT"
] | 20 | 2017-06-04T20:34:16.000Z | 2021-10-31T22:55:22.000Z | esiosdata/importdemdata.py | azogue/esiosdata | 680c7918955bc6ceee5bded92b3a4485f5ea8151 | [
"MIT"
] | null | null | null | esiosdata/importdemdata.py | azogue/esiosdata | 680c7918955bc6ceee5bded92b3a4485f5ea8151 | [
"MIT"
] | 4 | 2020-01-28T19:02:24.000Z | 2022-03-08T15:59:11.000Z | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 27 18:16:24 2015
@author: Eugenio Panadero
A raz del cambio previsto:
DESCONEXIN DE LA WEB PBLICA CLSICA DE ESIOS
La Web pblica clsica de esios (http://www.esios.ree.es) ser desconectada el da 29 de marzo de 2016.
Continuaremos ofreciendo servicio en la nueva Web del Op... | 39.609589 | 114 | 0.639633 |
a73d0e2b381469762428cb4845c16d12f86b59d9 | 4,744 | py | Python | brainfrick.py | rium9/brainfrick | 37f8e3417cde5828e3ed2c2099fc952259f12844 | [
"MIT"
] | null | null | null | brainfrick.py | rium9/brainfrick | 37f8e3417cde5828e3ed2c2099fc952259f12844 | [
"MIT"
] | null | null | null | brainfrick.py | rium9/brainfrick | 37f8e3417cde5828e3ed2c2099fc952259f12844 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
bfm = BrainfuckMachine(cells=8, out_func=chr)
bi = BInterpreter(bfm)
f = open('helloworld', 'r').read()
code = list(BLexer.lex(f))
bi.interpret_code(code) | 32.493151 | 110 | 0.490304 |
a73f4577fe0a30a2fdd1d7b44615b63fb0d34f1e | 3,476 | bzl | Python | infra_macros/fbcode_macros/build_defs/build_info.bzl | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | infra_macros/fbcode_macros/build_defs/build_info.bzl | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | infra_macros/fbcode_macros/build_defs/build_info.bzl | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | load("@fbcode_macros//build_defs:config.bzl", "config")
load("@fbcode_macros//build_defs/config:read_configs.bzl", "read_int")
load("@fbcode_macros//build_defs:core_tools.bzl", "core_tools")
def _get_build_info(package_name, name, rule_type, platform):
"""
Gets a build_info struct from various configurations (... | 35.469388 | 97 | 0.635788 |
a7401ff3c28629b2dc0848d7b3f999f8226d524f | 1,885 | py | Python | src/scan.py | Unitato/github-public-alert | 29dbcf72dd8c18c45385c29f25174c28c3428560 | [
"MIT"
] | null | null | null | src/scan.py | Unitato/github-public-alert | 29dbcf72dd8c18c45385c29f25174c28c3428560 | [
"MIT"
] | null | null | null | src/scan.py | Unitato/github-public-alert | 29dbcf72dd8c18c45385c29f25174c28c3428560 | [
"MIT"
] | null | null | null | #!#!/usr/bin/env python
import os
from github import Github
from libraries.notify import Notify
import json
print("")
print("Scanning Github repos")
GITHUB_API_KEY = os.environ.get('GITHUB_API_KEY')
WHITELIST = json.loads(os.environ.get('GITHUB_WHITELIST').lower())
GITHUB_SCAN = json.loads(os.environ.get('GITHUB_SCAN... | 30.901639 | 76 | 0.671088 |
a7403e0780a57d1602d030f1189826ad5b0324b5 | 3,634 | py | Python | models.py | YavorPaunov/await | 0ea7ad1d0d48b66686e35702d39695268451b688 | [
"MIT"
] | null | null | null | models.py | YavorPaunov/await | 0ea7ad1d0d48b66686e35702d39695268451b688 | [
"MIT"
] | null | null | null | models.py | YavorPaunov/await | 0ea7ad1d0d48b66686e35702d39695268451b688 | [
"MIT"
] | null | null | null | from flask.ext.sqlalchemy import SQLAlchemy
from util import hex_to_rgb, rgb_to_hex
from time2words import relative_time_to_text
from datetime import datetime
from dateutil.tz import tzutc
import pytz
db = SQLAlchemy()
def get_or_create(session, model, **kwargs):
instance = session.query(model).filter_by(**kwar... | 30.79661 | 94 | 0.632911 |
a74179e3bf17c46fcdccafdc139bb260a2c60cb7 | 732 | py | Python | setup.py | ManuelMeraz/ReinforcementLearning | 5d42a88776428308d35c8031c01bf5afdf080079 | [
"MIT"
] | 1 | 2020-04-19T15:29:47.000Z | 2020-04-19T15:29:47.000Z | setup.py | ManuelMeraz/ReinforcementLearning | 5d42a88776428308d35c8031c01bf5afdf080079 | [
"MIT"
] | null | null | null | setup.py | ManuelMeraz/ReinforcementLearning | 5d42a88776428308d35c8031c01bf5afdf080079 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import setuptools
DIR = os.path.dirname(__file__)
REQUIREMENTS = os.path.join(DIR, "requirements.txt")
with open(REQUIREMENTS) as f:
reqs = f.read().strip().split("\n")
setuptools.setup(
name="rl",
version="0.0.1",
description="Reinforcement Learning: An Introduction... | 25.241379 | 64 | 0.648907 |
a743058f6e943a66d50447c9ef87971c35895cc0 | 169 | py | Python | taxcalc/tbi/__init__.py | ClarePan/Tax-Calculator | d2d6cb4b551f34017db7166d91d982b5c4670816 | [
"CC0-1.0"
] | 1 | 2021-02-23T21:03:43.000Z | 2021-02-23T21:03:43.000Z | taxcalc/tbi/__init__.py | ClarePan/Tax-Calculator | d2d6cb4b551f34017db7166d91d982b5c4670816 | [
"CC0-1.0"
] | null | null | null | taxcalc/tbi/__init__.py | ClarePan/Tax-Calculator | d2d6cb4b551f34017db7166d91d982b5c4670816 | [
"CC0-1.0"
] | null | null | null | from taxcalc.tbi.tbi import (run_nth_year_taxcalc_model,
run_nth_year_gdp_elast_model,
reform_warnings_errors)
| 42.25 | 58 | 0.585799 |
a7433e8c895ee751d0a668a187a9eb4c45927efe | 6,223 | py | Python | mooc_access_number.py | mengshouer/mooc_access_number | 8de596ce34006f1f8c5d0404f5e40546fb438b2a | [
"MIT"
] | 6 | 2020-05-12T14:36:17.000Z | 2021-12-03T01:56:58.000Z | mooc_access_number.py | mengshouer/mooc_tools | 8de596ce34006f1f8c5d0404f5e40546fb438b2a | [
"MIT"
] | 2 | 2020-05-11T06:21:13.000Z | 2020-05-23T12:34:18.000Z | mooc_access_number.py | mengshouer/mooc_tools | 8de596ce34006f1f8c5d0404f5e40546fb438b2a | [
"MIT"
] | 1 | 2020-05-11T04:19:15.000Z | 2020-05-11T04:19:15.000Z | import requests,time,json,re,base64
requests.packages.urllib3.disable_warnings()
from io import BytesIO
from PIL import Image,ImageDraw,ImageChops
from lxml import etree
from urllib.parse import urlparse, parse_qs
username = "" #
password = "" #
s = requests.Session()
s.headers.update({'User-Agent':'Mo... | 32.752632 | 151 | 0.527398 |
a743c86ba9ec1ed2c5e5910bec35a0fda5523988 | 11,174 | py | Python | tests/test_json_api.py | Padraic-O-Mhuiris/fava | 797ae1ee1f7378c8e7347d2970fc52c4be366b01 | [
"MIT"
] | null | null | null | tests/test_json_api.py | Padraic-O-Mhuiris/fava | 797ae1ee1f7378c8e7347d2970fc52c4be366b01 | [
"MIT"
] | null | null | null | tests/test_json_api.py | Padraic-O-Mhuiris/fava | 797ae1ee1f7378c8e7347d2970fc52c4be366b01 | [
"MIT"
] | null | null | null | # pylint: disable=missing-docstring
from __future__ import annotations
import hashlib
from io import BytesIO
from pathlib import Path
from typing import Any
import pytest
from beancount.core.compare import hash_entry
from flask import url_for
from flask.testing import FlaskClient
from fava.context import g
from fava... | 31.564972 | 79 | 0.578038 |
a747752e784483f13e0672fa7ef44261d743dd9f | 403 | py | Python | babybuddy/migrations/0017_promocode_max_usage_per_account.py | amcquistan/babyasst | 310a7948f06b71ae0d62593a3b5932abfd4eb444 | [
"BSD-2-Clause"
] | null | null | null | babybuddy/migrations/0017_promocode_max_usage_per_account.py | amcquistan/babyasst | 310a7948f06b71ae0d62593a3b5932abfd4eb444 | [
"BSD-2-Clause"
] | null | null | null | babybuddy/migrations/0017_promocode_max_usage_per_account.py | amcquistan/babyasst | 310a7948f06b71ae0d62593a3b5932abfd4eb444 | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 2.2.6 on 2019-11-27 20:28
from django.db import migrations, models
| 21.210526 | 49 | 0.615385 |
a74a33620df33a15eb19e53e0f2d731815811072 | 6,218 | py | Python | tests/test_upload.py | LuminosoInsight/luminoso-api-client-python | bae7db9b02123718ded5a8345a860bd12680b367 | [
"MIT"
] | 5 | 2016-09-14T02:02:30.000Z | 2021-06-20T21:11:19.000Z | tests/test_upload.py | LuminosoInsight/luminoso-api-client-python | bae7db9b02123718ded5a8345a860bd12680b367 | [
"MIT"
] | 29 | 2015-01-13T15:07:38.000Z | 2021-06-14T21:03:06.000Z | tests/test_upload.py | LuminosoInsight/luminoso-api-client-python | bae7db9b02123718ded5a8345a860bd12680b367 | [
"MIT"
] | 3 | 2016-03-07T13:04:34.000Z | 2017-08-07T21:15:53.000Z | from luminoso_api.v5_client import LuminosoClient
from luminoso_api.v5_upload import create_project_with_docs, BATCH_SIZE
from unittest.mock import patch
import pytest
BASE_URL = 'http://mock-api.localhost/api/v5/'
DOCS_TO_UPLOAD = [
{'title': 'Document 1', 'text': 'Bonjour', 'extra': 'field'},
{'title': 'Do... | 31.72449 | 78 | 0.595529 |
a74ad7dc8ca825fa0b64d0132540f37da6f4e67a | 1,259 | py | Python | src/oca_github_bot/webhooks/on_command.py | eLBati/oca-github-bot | 4fa974f8ec123c9ccfd7bcad22e4baa939c985ac | [
"MIT"
] | null | null | null | src/oca_github_bot/webhooks/on_command.py | eLBati/oca-github-bot | 4fa974f8ec123c9ccfd7bcad22e4baa939c985ac | [
"MIT"
] | null | null | null | src/oca_github_bot/webhooks/on_command.py | eLBati/oca-github-bot | 4fa974f8ec123c9ccfd7bcad22e4baa939c985ac | [
"MIT"
] | null | null | null | # Copyright (c) initOS GmbH 2019
# Distributed under the MIT License (http://opensource.org/licenses/MIT).
from ..commands import CommandError, parse_commands
from ..config import OCABOT_EXTRA_DOCUMENTATION, OCABOT_USAGE
from ..router import router
from ..tasks.add_pr_comment import add_pr_comment
| 34.972222 | 73 | 0.629071 |
a74cb2eb35421327d8faf002d2a0cd393a5579ab | 1,151 | py | Python | splitListToParts.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | splitListToParts.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | splitListToParts.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Definition for singly-linked list.
head = ListNode(1)
p1 = ListNode(2)
p2 = ListNode(3)
p3 = ListNode(4)
p4 = ListNode(5)
p5 = ListNode(6)
p6 = ListNode(7)
p7 = ListNode(8)
p8 = ListNode(9)
p9 = ListNode(10)
head.next = p1
p1.next = p2
p2.next = p3
p3.next = p4
p4.next = p5
p5.next = p6
p6.ne... | 20.553571 | 47 | 0.536056 |
a74cdb915e99b5e47e7fb18dd30921d17381a256 | 7,744 | py | Python | pmlearn/mixture/tests/test_dirichlet_process.py | john-veillette/pymc-learn | 267b0084438616b869866194bc167c332c3e3547 | [
"BSD-3-Clause"
] | 187 | 2018-10-16T02:33:51.000Z | 2022-03-27T14:06:36.000Z | pmlearn/mixture/tests/test_dirichlet_process.py | john-veillette/pymc-learn | 267b0084438616b869866194bc167c332c3e3547 | [
"BSD-3-Clause"
] | 20 | 2018-10-31T15:13:29.000Z | 2022-01-20T18:54:00.000Z | pmlearn/mixture/tests/test_dirichlet_process.py | john-veillette/pymc-learn | 267b0084438616b869866194bc167c332c3e3547 | [
"BSD-3-Clause"
] | 20 | 2018-10-19T21:32:06.000Z | 2022-02-07T06:04:55.000Z | import unittest
import shutil
import tempfile
import numpy as np
# import pandas as pd
# import pymc3 as pm
# from pymc3 import summary
# from sklearn.mixture import BayesianGaussianMixture as skBayesianGaussianMixture
from sklearn.model_selection import train_test_split
from pmlearn.exceptions import NotFittedError
... | 38.914573 | 84 | 0.594008 |
a74d82ac6813ed8153326a2d69c62b3256148e18 | 1,096 | py | Python | algorithms/utils.py | billvb/oblio-game | c1c95b9d7bffe4e2841a978e4338cf72c38174ac | [
"MIT"
] | 2 | 2016-03-20T03:03:18.000Z | 2021-02-15T22:23:44.000Z | algorithms/utils.py | billvb/oblio-game | c1c95b9d7bffe4e2841a978e4338cf72c38174ac | [
"MIT"
] | null | null | null | algorithms/utils.py | billvb/oblio-game | c1c95b9d7bffe4e2841a978e4338cf72c38174ac | [
"MIT"
] | null | null | null | import random
TUPLE_SIZE = 4
DIGIT_BASE = 10
MAX_GUESS = DIGIT_BASE ** TUPLE_SIZE
| 28.842105 | 86 | 0.603102 |
a74d8736deea9179712853219ede84e9608d42dd | 1,276 | py | Python | utils/utils.py | cheng052/H3DNet | 872dabb37d8c2ca3581cf4e242014e6464debe57 | [
"MIT"
] | 212 | 2020-06-11T01:03:36.000Z | 2022-03-17T17:29:21.000Z | utils/utils.py | cheng052/H3DNet | 872dabb37d8c2ca3581cf4e242014e6464debe57 | [
"MIT"
] | 25 | 2020-06-15T13:35:13.000Z | 2022-03-10T05:44:05.000Z | utils/utils.py | cheng052/H3DNet | 872dabb37d8c2ca3581cf4e242014e6464debe57 | [
"MIT"
] | 24 | 2020-06-11T01:17:24.000Z | 2022-03-30T13:34:45.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
| 27.73913 | 103 | 0.670063 |
a74f41b8c63e9716f46430fe18d6b543d0682cb3 | 8,258 | py | Python | device/app.py | panjanek/IotCenter | e139617d14617c10a18c35515e2d3aaae797bcac | [
"MIT"
] | 2 | 2016-12-12T15:16:16.000Z | 2018-10-30T02:35:36.000Z | device/app.py | panjanek/IotCenter | e139617d14617c10a18c35515e2d3aaae797bcac | [
"MIT"
] | null | null | null | device/app.py | panjanek/IotCenter | e139617d14617c10a18c35515e2d3aaae797bcac | [
"MIT"
] | null | null | null | import logging
import threading
import json
import base64
import os
from subprocess import Popen
import glob
import time
import urllib2
import re
import string
import datetime
| 47.45977 | 177 | 0.552434 |
a74fb2c9000b17ff11193cacddad30429c023b4c | 7,882 | py | Python | deepsource/utils.py | vafaei-ar/deepsource | cbb06f5a2105506b63539ae5bfe73a3e62d4055f | [
"BSD-3-Clause"
] | null | null | null | deepsource/utils.py | vafaei-ar/deepsource | cbb06f5a2105506b63539ae5bfe73a3e62d4055f | [
"BSD-3-Clause"
] | 1 | 2020-12-15T10:03:50.000Z | 2020-12-16T10:39:00.000Z | deepsource/utils.py | vafaei-ar/deepsource | cbb06f5a2105506b63539ae5bfe73a3e62d4055f | [
"BSD-3-Clause"
] | 2 | 2019-09-02T10:24:22.000Z | 2021-03-30T01:29:03.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import numpy as np
from skimage import draw
from skimage import measure
from astropy.io import fits
from astropy import units as u
from astropy import wcs, coordinates
from scipy.ndimage.filters impor... | 29.520599 | 148 | 0.586399 |
a74fd79fe36c35a1329c69bf98a54c22cc8f9a55 | 12,349 | py | Python | ftc/lib/net/network.py | efulet/ann_text_classification | fba05a1789a19aa6d607ee36069dda419bb98e28 | [
"MIT"
] | null | null | null | ftc/lib/net/network.py | efulet/ann_text_classification | fba05a1789a19aa6d607ee36069dda419bb98e28 | [
"MIT"
] | null | null | null | ftc/lib/net/network.py | efulet/ann_text_classification | fba05a1789a19aa6d607ee36069dda419bb98e28 | [
"MIT"
] | null | null | null | """
@created_at 2015-01-18
@author Exequiel Fuentes Lettura <efulet@gmail.com>
"""
from pybrain.datasets import ClassificationDataSet
from pybrain.tools.shortcuts import buildNetwork
from pybrain.structure.modules import SoftmaxLayer
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.utilities impor... | 38.711599 | 128 | 0.581667 |
a75006d06757a5f27ac00ff68ada7211ab1bbdc4 | 342 | py | Python | python2/probe_yd.py | Nzen/run_ydl | 90d7075ba8ec5771b5edcbe2ad52211d95546f83 | [
"WTFPL"
] | null | null | null | python2/probe_yd.py | Nzen/run_ydl | 90d7075ba8ec5771b5edcbe2ad52211d95546f83 | [
"WTFPL"
] | null | null | null | python2/probe_yd.py | Nzen/run_ydl | 90d7075ba8ec5771b5edcbe2ad52211d95546f83 | [
"WTFPL"
] | null | null | null | from sys import argv
from subprocess import call
try :
link = argv[ 1 ]
except IndexError:
link = raw_input( " - which url interests you? " )
try:
ydl_answ = call( "youtube-dl -F "+ link, shell = True )
if ydl_answ is not 0 :
print "-- failed "+ link + " code "+ str(ydl_answ)
except OSError as ose :
print "Ex... | 21.375 | 56 | 0.663743 |
a7538f1279770f7607c3e20bb1757708788234b0 | 9,689 | py | Python | src/cogs/welcome.py | Cr4zi/SynatxBot | eeb59555c1cfa81e05c924b84c601c0b240e5ee3 | [
"MIT"
] | 4 | 2021-08-12T08:11:21.000Z | 2021-08-12T08:15:22.000Z | src/cogs/welcome.py | Cr4zi/SynatxBot | eeb59555c1cfa81e05c924b84c601c0b240e5ee3 | [
"MIT"
] | null | null | null | src/cogs/welcome.py | Cr4zi/SynatxBot | eeb59555c1cfa81e05c924b84c601c0b240e5ee3 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
from discord import Embed
from discord.utils import get
import datetime
import psycopg2
from bot import DB_NAME, DB_PASS, DB_HOST, DB_USER, logger, private_message
| 46.581731 | 146 | 0.58489 |
a7551310f1a028ec26dd2191bdc424bc482a29c5 | 468 | py | Python | etcd_restore_rebuild_util/edit_yaml_for_rebuild.py | Cray-HPE/utils | dd6e13b46500e1c2f6ad887a8c1604044465d1d8 | [
"MIT"
] | null | null | null | etcd_restore_rebuild_util/edit_yaml_for_rebuild.py | Cray-HPE/utils | dd6e13b46500e1c2f6ad887a8c1604044465d1d8 | [
"MIT"
] | null | null | null | etcd_restore_rebuild_util/edit_yaml_for_rebuild.py | Cray-HPE/utils | dd6e13b46500e1c2f6ad887a8c1604044465d1d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import sys
import yaml
file_name=sys.argv[1]
file_name = '/root/etcd/' + file_name + '.yaml'
with open(file_name) as f:
y=yaml.safe_load(f)
del y['metadata']['creationTimestamp']
del y['metadata']['generation']
del y['metadata']['resourceVersion']
del y['metad... | 22.285714 | 70 | 0.67094 |
a75582560560cf86bc8bb8744feee3c442ea60e2 | 1,514 | py | Python | src/Segmentation/segmentation.py | odigous-labs/video-summarization | c125bf9fa1016d76680d5e9389e4bdb0f83bc4fb | [
"MIT"
] | 1 | 2019-03-05T06:00:38.000Z | 2019-03-05T06:00:38.000Z | src/Segmentation/segmentation.py | odigous-labs/video-summarization | c125bf9fa1016d76680d5e9389e4bdb0f83bc4fb | [
"MIT"
] | 2 | 2019-03-02T05:12:59.000Z | 2019-09-26T17:03:56.000Z | src/Segmentation/segmentation.py | odigous-labs/video-summarization | c125bf9fa1016d76680d5e9389e4bdb0f83bc4fb | [
"MIT"
] | null | null | null | import os
import cv2
from Segmentation import CombinedHist, get_histograms, HistQueue
import matplotlib.pyplot as plt
import numpy as np
listofFiles = os.listdir('generated_frames')
# change the size of queue accordingly
queue_of_hists = HistQueue.HistQueue(25)
x = []
y_r = []
y_g = []
y_b = []
for i in range(0, 40... | 29.115385 | 114 | 0.718626 |
a755b8f4c107bcf90ce08cbfeeeaa2d842ac3f66 | 12,369 | py | Python | stickerbot.py | gumblex/stickerindexbot | 8e8edaabac54d2747e4b620464670a60a65efcb5 | [
"MIT"
] | 1 | 2017-01-20T18:11:46.000Z | 2017-01-20T18:11:46.000Z | stickerbot.py | gumblex/stickerindexbot | 8e8edaabac54d2747e4b620464670a60a65efcb5 | [
"MIT"
] | null | null | null | stickerbot.py | gumblex/stickerindexbot | 8e8edaabac54d2747e4b620464670a60a65efcb5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Telegram Sticker Index Bot
'''
import re
import sys
import time
import json
import queue
import sqlite3
import logging
import requests
import functools
import threading
import collections
import concurrent.futures
import zhconv
logging.basicConfig(stream=sys.stderr... | 32.379581 | 160 | 0.570216 |
a755c3e60d6f4943e03a99183eadd47ca1d97d29 | 4,571 | py | Python | tests.py | AndreLouisCaron/requests-wsgi-adapter | 5506c4785824673147449daabb5c4e06192e5078 | [
"BSD-3-Clause"
] | null | null | null | tests.py | AndreLouisCaron/requests-wsgi-adapter | 5506c4785824673147449daabb5c4e06192e5078 | [
"BSD-3-Clause"
] | null | null | null | tests.py | AndreLouisCaron/requests-wsgi-adapter | 5506c4785824673147449daabb5c4e06192e5078 | [
"BSD-3-Clause"
] | null | null | null | import json
import unittest
import requests
from urllib3._collections import HTTPHeaderDict
from wsgiadapter import WSGIAdapter
def test_multiple_cookies():
app = WSGITestHandler(
extra_headers=[
("Set-Cookie", "flimble=floop; Path=/"),
("Set-Cookie", "flamble=flaap; Path=/")]... | 39.068376 | 107 | 0.640123 |
a75611852715e07033587bffa7d94fdf7b98243d | 548 | py | Python | setup.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | setup.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | setup.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | """
-------------------------------------------------------------------------
shine -
setup
!!TODO: add file description here!!
created: 2017/06/04 in PyCharm
(c) 2017 Sven - ducandu GmbH
-------------------------------------------------------------------------
"""
from setuptools import setup
setup(nam... | 34.25 | 138 | 0.501825 |
a756ca330f0702ca67f549b4365c53dd8dc05dbc | 1,932 | py | Python | podcast_dl/podcasts.py | RMPR/simple-podcast-dl | bb4419d3beb1a893bfac5aa6546ba25522531b00 | [
"MIT"
] | null | null | null | podcast_dl/podcasts.py | RMPR/simple-podcast-dl | bb4419d3beb1a893bfac5aa6546ba25522531b00 | [
"MIT"
] | null | null | null | podcast_dl/podcasts.py | RMPR/simple-podcast-dl | bb4419d3beb1a893bfac5aa6546ba25522531b00 | [
"MIT"
] | null | null | null | """
List of podcasts and their filename parser types.
"""
from .rss_parsers import BaseItem, TalkPythonItem, ChangelogItem, IndieHackersItem
import attr
PODCASTS = [
Podcast(
name="talkpython",
title="Talk Python To Me",
url="https://talkpython.fm",
rss="https://talkpython.fm/epis... | 27.6 | 82 | 0.608696 |
a75700da032ade0f2e5909a09f4ffc60c4abd193 | 20,543 | py | Python | 07_spitzer_aor_extraction.py | rsiverd/ultracool | cbeb2e0e4aee0acc9f8ed2bde7ecdf8be5fa85a1 | [
"BSD-2-Clause"
] | null | null | null | 07_spitzer_aor_extraction.py | rsiverd/ultracool | cbeb2e0e4aee0acc9f8ed2bde7ecdf8be5fa85a1 | [
"BSD-2-Clause"
] | null | null | null | 07_spitzer_aor_extraction.py | rsiverd/ultracool | cbeb2e0e4aee0acc9f8ed2bde7ecdf8be5fa85a1 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# vim: set fileencoding=utf-8 ts=4 sts=4 sw=4 et tw=80 :
#
# Extract and save extended object catalogs from the specified data and
# uncertainty images. This version of the script jointly analyzes all
# images from a specific AOR/channel to enable more sophisticated
# analysis.
#
# Rob Siverd
# Cr... | 37.148282 | 82 | 0.577861 |
a7574a31d3793e68486c1afc1807fc0afcd14ce5 | 6,594 | py | Python | project/apps/CI-producer/app/producers_test.py | Monxun/PortainerPractice | a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4 | [
"MIT"
] | null | null | null | project/apps/CI-producer/app/producers_test.py | Monxun/PortainerPractice | a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4 | [
"MIT"
] | 1 | 2022-03-02T22:54:36.000Z | 2022-03-02T22:54:36.000Z | project/apps/CI-producer/app/producers_test.py | Monxun/PortainerPractice | a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4 | [
"MIT"
] | null | null | null | from os import strerror
import os
import pytest
import datetime
import sqlalchemy
from sqlalchemy import inspect
from sqlalchemy import select
from sqlalchemy.orm import session
from sqlalchemy.sql.expression import func
#################################################
# DATABASE CONNECTOR
user = 'user'
password = ... | 30.957746 | 74 | 0.746588 |
a7574f04a38567a940cb678fc874747f83a2b6d9 | 223 | py | Python | quran/domain/edition.py | octabytes/quran | 974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86 | [
"Apache-2.0"
] | null | null | null | quran/domain/edition.py | octabytes/quran | 974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86 | [
"Apache-2.0"
] | null | null | null | quran/domain/edition.py | octabytes/quran | 974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86 | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
from quran.domain.entity import Entity
| 14.866667 | 38 | 0.690583 |
a75778c132db31042c63da3f963565d091dded6a | 1,231 | py | Python | dataflow/core/visualization.py | alphamatic/amp | 5018137097159415c10eaa659a2e0de8c4e403d4 | [
"BSD-3-Clause"
] | 5 | 2021-08-10T23:16:44.000Z | 2022-03-17T17:27:00.000Z | dataflow/core/visualization.py | alphamatic/amp | 5018137097159415c10eaa659a2e0de8c4e403d4 | [
"BSD-3-Clause"
] | 330 | 2021-06-10T17:28:22.000Z | 2022-03-31T00:55:48.000Z | dataflow/core/visualization.py | alphamatic/amp | 5018137097159415c10eaa659a2e0de8c4e403d4 | [
"BSD-3-Clause"
] | 6 | 2021-06-10T17:20:32.000Z | 2022-03-28T08:08:03.000Z | """
Helper functions to visualize a graph in a notebook or save the plot to file.
Import as:
import dataflow.core.visualization as dtfcorvisu
"""
import IPython
import networkx as networ
import pygraphviz
import dataflow.core.dag as dtfcordag
import helpers.hdbg as hdbg
import helpers.hio as hio
def draw(dag: dtf... | 25.122449 | 77 | 0.707555 |
a758f541fb2e3c2ec9bc820cd471a439cd2c4443 | 7,714 | py | Python | scripts/pixel_error.py | ling-k/STOVE | fcf36139f41dee5ef892e90dedf1d2208da6fd3c | [
"MIT"
] | 31 | 2019-10-14T01:48:44.000Z | 2022-01-20T19:19:14.000Z | scripts/pixel_error.py | ling-k/STOVE | fcf36139f41dee5ef892e90dedf1d2208da6fd3c | [
"MIT"
] | 3 | 2020-05-08T11:01:25.000Z | 2021-05-24T07:50:10.000Z | scripts/pixel_error.py | ling-k/STOVE | fcf36139f41dee5ef892e90dedf1d2208da6fd3c | [
"MIT"
] | 9 | 2020-01-13T11:25:16.000Z | 2021-05-10T06:04:08.000Z | """Calculate pixel errors for a single run or all runs in an experiment dir."""
import torch
import itertools
import numpy as np
import imageio
import argparse
import os
import glob
from model.main import main as restore_model
from model.utils.utils import bw_transform
os.environ["CUDA_VISIBLE_DEVICES"] = '-1'
def... | 34.4375 | 93 | 0.621208 |
a75a94acdbd36e7b6da2d3d837a50b906558f9b8 | 770 | py | Python | users/admin.py | JVacca12/FIRST | e3906209cae1198e1fbda4d00bc0a906e8294a69 | [
"MIT"
] | null | null | null | users/admin.py | JVacca12/FIRST | e3906209cae1198e1fbda4d00bc0a906e8294a69 | [
"MIT"
] | null | null | null | users/admin.py | JVacca12/FIRST | e3906209cae1198e1fbda4d00bc0a906e8294a69 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
"""User admin classes."""
# Django
from django.contrib import admin
# Models
from users.models import User | 23.333333 | 154 | 0.633766 |
a75aa0bd60c43a11405b09d22589cf2d9c586cc5 | 3,469 | py | Python | mud/migrations/0001_initial.py | lambda-mud-cs18/backend | 060c5c1a317d8b6557e778cd539e75f24eff05dd | [
"MIT"
] | 1 | 2022-01-12T17:44:26.000Z | 2022-01-12T17:44:26.000Z | mud/migrations/0001_initial.py | lambda-mud-cs18/backend | 060c5c1a317d8b6557e778cd539e75f24eff05dd | [
"MIT"
] | 8 | 2020-02-12T01:12:46.000Z | 2022-02-10T10:17:28.000Z | mud/migrations/0001_initial.py | lambda-mud-cs18/backend | 060c5c1a317d8b6557e778cd539e75f24eff05dd | [
"MIT"
] | 2 | 2022-01-12T17:44:29.000Z | 2022-01-12T17:44:29.000Z | # Generated by Django 2.2.3 on 2019-07-31 17:10
from django.db import migrations, models
| 39.420455 | 84 | 0.51254 |
a75c1979034dbafe33e7945478e87745ce9ce8e5 | 918 | py | Python | scripts/quest/q22504s.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/quest/q22504s.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/quest/q22504s.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | sm.setSpeakerID(1013000)
sm.sendNext("Ugh. This isn't going to work. I need something else. No plants. No meat. What, you have no idea? But you're the master, and you're older than me, too. You must know what'd be good for me!")
sm.setPlayerAsSpeaker()
sm.sendSay("#bBut I don't. It's not like age has anything to do wi... | 61.2 | 203 | 0.721133 |
a75cf13072fe0194f0d08765f3c331975a5d8df7 | 424 | py | Python | user/migrations/0002_user_photo.py | martinlehoux/erp-reloaded | db7dea603095dec558f4b0ad9a0d2dbd20f8703c | [
"MIT"
] | null | null | null | user/migrations/0002_user_photo.py | martinlehoux/erp-reloaded | db7dea603095dec558f4b0ad9a0d2dbd20f8703c | [
"MIT"
] | 5 | 2021-04-08T18:54:04.000Z | 2021-06-10T18:37:26.000Z | user/migrations/0002_user_photo.py | martinlehoux/erp-reloaded | db7dea603095dec558f4b0ad9a0d2dbd20f8703c | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-03-01 00:58
from django.db import migrations, models
import user.models
| 21.2 | 88 | 0.606132 |
a75f0071595f1cf5e30f78a377181f6b55570f76 | 61 | py | Python | core/models/__init__.py | Bhaskers-Blu-Org1/bLVNet-TAM | feadcd3a1a25723dc28bed867580032181e824a3 | [
"Apache-2.0"
] | 62 | 2019-10-22T14:52:30.000Z | 2021-07-27T12:07:38.000Z | core/models/__init__.py | Bhaskers-Blu-Org1/bLVNet-TAM | feadcd3a1a25723dc28bed867580032181e824a3 | [
"Apache-2.0"
] | 6 | 2019-12-16T06:03:42.000Z | 2020-08-31T07:59:04.000Z | core/models/__init__.py | IBM/bLVNet-TAM | feadcd3a1a25723dc28bed867580032181e824a3 | [
"Apache-2.0"
] | 16 | 2019-11-02T06:49:19.000Z | 2021-12-30T14:51:48.000Z |
from .blvnet_tam import bLVNet_TAM
__all__ = ['bLVNet_TAM'] | 15.25 | 34 | 0.770492 |
a760fe286388453e9bf13c54cc23324198919723 | 438 | py | Python | monodepth/geometry/utils.py | vguizilini/packnet-sfm | e462716837f24c11cb227ca99fe30bcf12b3cc56 | [
"MIT"
] | 1 | 2020-04-30T07:32:57.000Z | 2020-04-30T07:32:57.000Z | monodepth/geometry/utils.py | muzi2045/packnet-sfm | fec6d0b493b784cabe5e6bf9c65b996a83c63fe1 | [
"MIT"
] | null | null | null | monodepth/geometry/utils.py | muzi2045/packnet-sfm | fec6d0b493b784cabe5e6bf9c65b996a83c63fe1 | [
"MIT"
] | null | null | null | # Copyright 2020 Toyota Research Institute. All rights reserved.
"""
Geometry utilities
"""
import numpy as np
def invert_pose_numpy(T):
"""
'Invert' 4x4 extrinsic matrix
Parameters
----------
T: 4x4 matrix (world to camera)
Returns
-------
4x4 matrix (camera to world)
"""
... | 16.222222 | 65 | 0.547945 |
a7624496ee4975eb04a3c005275217a54323fb5d | 27,209 | py | Python | minesweeper.py | MrAttoAttoAtto/Cool-Programming-Project | 68214d089b612fdcca7fe76dce3464edec35ce2b | [
"MIT"
] | null | null | null | minesweeper.py | MrAttoAttoAtto/Cool-Programming-Project | 68214d089b612fdcca7fe76dce3464edec35ce2b | [
"MIT"
] | null | null | null | minesweeper.py | MrAttoAttoAtto/Cool-Programming-Project | 68214d089b612fdcca7fe76dce3464edec35ce2b | [
"MIT"
] | null | null | null | #Minesweeper!
from tkinter import *
import random, time, math, threading, os.path, os
#Tkinter Class
def openMain(caller, xLength=None, yLength=None, percentOfBombs=None, winChoice=None, master=None): #restarts it outside of the class
global minesweeper
if master != None: #if it has been called from the pl... | 40.429421 | 183 | 0.592745 |
a7625f42a7dd6cbf1419217f4da8ae9f6f00c5f6 | 5,431 | py | Python | cannlytics/utils/scraper.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 7 | 2021-05-31T15:30:22.000Z | 2022-02-05T14:12:31.000Z | cannlytics/utils/scraper.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 17 | 2021-06-09T01:04:27.000Z | 2022-03-18T14:48:12.000Z | cannlytics/utils/scraper.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 5 | 2021-06-07T13:52:33.000Z | 2021-08-04T00:09:39.000Z | # -*- coding: utf-8 -*-
"""
Scrape Website Data | Cannlytics
Copyright 2021 Cannlytics
Author: Keegan Skeate <keegan@cannlytics.com>
Created: 1/10/2021
License GPLv3+: GNU GPL version 3 or later <https://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY... | 30.511236 | 110 | 0.598048 |
a762725a417c914c2de8c1cfaad398234b972ef4 | 22,326 | py | Python | acsm/utils/bird_vis.py | eldar/acsm | 04069e8bb4c12185473dc10c3355e5367fa98968 | [
"Apache-2.0"
] | 52 | 2020-04-02T12:35:55.000Z | 2022-03-11T07:47:30.000Z | acsm/utils/bird_vis.py | eldar/acsm | 04069e8bb4c12185473dc10c3355e5367fa98968 | [
"Apache-2.0"
] | 8 | 2020-06-04T07:34:34.000Z | 2021-09-18T21:17:26.000Z | acsm/utils/bird_vis.py | eldar/acsm | 04069e8bb4c12185473dc10c3355e5367fa98968 | [
"Apache-2.0"
] | 6 | 2020-07-12T02:12:18.000Z | 2021-03-06T05:03:33.000Z | """
Code borrowed from
https://github.com/akanazawa/cmr/blob/master/utils/bird_vis.py
Visualization helpers specific to birds.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
from torch.autograd import Variable
import numpy as np
import os... | 37.585859 | 150 | 0.61874 |
a7641eec8122f15991dc897dc20ebeb0e83b0d20 | 10,764 | py | Python | gatenlp/corpora/files.py | joancf/python-gatenlp | 21441d72ded19e9348052e99ac5bc1fc6af7ab6e | [
"Apache-2.0"
] | 30 | 2020-04-18T12:28:15.000Z | 2022-02-18T21:31:18.000Z | gatenlp/corpora/files.py | joancf/python-gatenlp | 21441d72ded19e9348052e99ac5bc1fc6af7ab6e | [
"Apache-2.0"
] | 133 | 2019-10-16T07:41:59.000Z | 2022-03-31T07:27:07.000Z | gatenlp/corpora/files.py | joancf/python-gatenlp | 21441d72ded19e9348052e99ac5bc1fc6af7ab6e | [
"Apache-2.0"
] | 4 | 2021-01-20T08:12:19.000Z | 2021-10-21T13:29:44.000Z | """
Module that defines Corpus and DocumentSource/DocumentDestination classes which access documents
as lines or parts in a file.
"""
import json
from gatenlp.urlfileutils import yield_lines_from
from gatenlp.document import Document
from gatenlp.corpora.base import DocumentSource, DocumentDestination
from gatenlp.cor... | 40.164179 | 118 | 0.590673 |
a7646b2e354d22868d6a6f4cc986b8c2069e186b | 709 | py | Python | src/ch5-viewmodels/web/services/AccountPageService.py | saryeHaddadi/Python.Course.WebAppFastAPI | ddc1f1850473c227e715c8ecd2afd741e53c4680 | [
"MIT"
] | null | null | null | src/ch5-viewmodels/web/services/AccountPageService.py | saryeHaddadi/Python.Course.WebAppFastAPI | ddc1f1850473c227e715c8ecd2afd741e53c4680 | [
"MIT"
] | null | null | null | src/ch5-viewmodels/web/services/AccountPageService.py | saryeHaddadi/Python.Course.WebAppFastAPI | ddc1f1850473c227e715c8ecd2afd741e53c4680 | [
"MIT"
] | null | null | null | import fastapi
from starlette.requests import Request
from web.viewmodels.account.AccountViewModel import AccountViewModel
from web.viewmodels.account.LoginViewModel import LoginViewModel
from web.viewmodels.account.RegisterViewModel import RegisterViewModel
router = fastapi.APIRouter()
| 22.870968 | 70 | 0.760226 |
a7659e9cd38acecd1d387852d0d503d7207e98a9 | 29,031 | py | Python | src/opserver/uveserver.py | madkiss/contrail-controller | 17f622dfe99f8ab4163436399e80f95dd564814c | [
"Apache-2.0"
] | null | null | null | src/opserver/uveserver.py | madkiss/contrail-controller | 17f622dfe99f8ab4163436399e80f95dd564814c | [
"Apache-2.0"
] | null | null | null | src/opserver/uveserver.py | madkiss/contrail-controller | 17f622dfe99f8ab4163436399e80f95dd564814c | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
#
# UVEServer
#
# Operational State Server for UVEs
#
import gevent
import json
import copy
import xmltodict
import redis
import datetime
import sys
from opserver_util import OpServerUtils
import re
from gevent.coros import BoundedSemaphore
from pys... | 41.711207 | 91 | 0.450484 |
a765ce6d1c1eea007b73c094feaef3cfb92302b9 | 6,559 | py | Python | tests/datasets/test_tonas.py | lucaspbastos/mirdata | e591c5411c41591e8606812df869dca1ad52ee0f | [
"BSD-3-Clause"
] | 224 | 2019-05-08T14:46:05.000Z | 2022-03-31T12:14:39.000Z | tests/datasets/test_tonas.py | oriolcolomefont/mirdata | e591c5411c41591e8606812df869dca1ad52ee0f | [
"BSD-3-Clause"
] | 492 | 2019-04-08T16:59:33.000Z | 2022-01-19T13:50:56.000Z | tests/datasets/test_tonas.py | oriolcolomefont/mirdata | e591c5411c41591e8606812df869dca1ad52ee0f | [
"BSD-3-Clause"
] | 46 | 2019-04-11T15:12:18.000Z | 2022-01-19T17:33:50.000Z | import numpy as np
from tests.test_utils import run_track_tests
from mirdata import annotations
from mirdata.datasets import tonas
TEST_DATA_HOME = "tests/resources/mir_datasets/tonas"
| 30.649533 | 96 | 0.633938 |
a765ee4d5ce159cb94158867be1e207d0bdc988c | 1,064 | py | Python | pycreds.py | Ennovar/aws-creds-test | fcc5c10c8cfb79bb0ea0fd52f2e2f137efd8a9ce | [
"Apache-2.0"
] | 7 | 2017-06-13T15:55:23.000Z | 2019-05-23T18:52:00.000Z | pycreds.py | Ennovar/aws-creds-test | fcc5c10c8cfb79bb0ea0fd52f2e2f137efd8a9ce | [
"Apache-2.0"
] | 2 | 2019-02-16T12:56:33.000Z | 2020-07-02T19:32:58.000Z | pycreds.py | Ennovar/aws-creds-test | fcc5c10c8cfb79bb0ea0fd52f2e2f137efd8a9ce | [
"Apache-2.0"
] | 8 | 2017-05-17T22:46:07.000Z | 2022-03-11T14:27:56.000Z | import os
import hashlib
import getpass
import hmac
import botocore.session
import botocore.exceptions
if __name__ == '__main__':
main()
| 30.4 | 72 | 0.656015 |
a765f6c349621f1e0308c3686c2a549868853c7d | 1,854 | py | Python | sopel_modules/urban_dictionary/urbandictionary.py | capsterx/sopel-urbandictionary | 188a54badc64c4626b1413dfab93ee685f543cf1 | [
"MIT"
] | null | null | null | sopel_modules/urban_dictionary/urbandictionary.py | capsterx/sopel-urbandictionary | 188a54badc64c4626b1413dfab93ee685f543cf1 | [
"MIT"
] | 1 | 2021-01-10T06:53:49.000Z | 2021-01-13T02:03:30.000Z | sopel_modules/urban_dictionary/urbandictionary.py | capsterx/sopel-urbandictionary | 188a54badc64c4626b1413dfab93ee685f543cf1 | [
"MIT"
] | null | null | null | from sopel.module import commands, example
from sopel import web
import sopel.module
import socket
import re
import urbandictionary as ud
BOLD=chr(0x02)
ITALICS=chr(0x1D)
UNDERLINE=chr(0x1F)
| 29.903226 | 119 | 0.651564 |
a7660deda124d1efd2085f69810453398abdc730 | 324 | py | Python | Aula01 e exercicios/exercicio_06.py | Dorcival/PYTHON | 0dc3fa53699d40b21c6ed721a190ffb4f8404345 | [
"MIT"
] | null | null | null | Aula01 e exercicios/exercicio_06.py | Dorcival/PYTHON | 0dc3fa53699d40b21c6ed721a190ffb4f8404345 | [
"MIT"
] | null | null | null | Aula01 e exercicios/exercicio_06.py | Dorcival/PYTHON | 0dc3fa53699d40b21c6ed721a190ffb4f8404345 | [
"MIT"
] | null | null | null | # Conversor de CELSIUS para FAHRENHEIT v.0.1
# Por Dorcival Leite 202003362174
import time
print("CONVERTER TEMPERATURA DE CELSIUS PARA FAHRENHEIT\n")
c = float(input("Digite a temperatura em CELSIUS: "))
f = float((9 * c)/5)+32
print("\nA temperatura de", c, "graus CELSIUS igual a", f, "graus FAHRENHEIT")
time.sleep(... | 40.5 | 80 | 0.734568 |
a7687184494cf93d9f5d684cfc40811e7667b3e4 | 772 | py | Python | multranslate.py | anoidgit/NMTServer | f608695c4c1f5319fb3c56f218b1d78056861c62 | [
"Apache-2.0"
] | 3 | 2017-08-29T22:56:38.000Z | 2017-12-12T06:20:35.000Z | multranslate.py | anoidgit/NMTServer | f608695c4c1f5319fb3c56f218b1d78056861c62 | [
"Apache-2.0"
] | 1 | 2017-09-10T08:02:24.000Z | 2017-09-12T01:03:25.000Z | multranslate.py | anoidgit/NMTServer | f608695c4c1f5319fb3c56f218b1d78056861c62 | [
"Apache-2.0"
] | null | null | null | #encoding: utf-8
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
import zmq, sys, json
import seg
import detoken
import datautils
from random import sample
serverl=["tcp://127.0.0.1:"+str(port) for port in xrange(5556,5556+4)]
| 19.794872 | 182 | 0.75 |
a769f370668047fa9ac58fd30c92b5d2a06a8ba0 | 10,995 | py | Python | face_detector.py | duwizerak/Keras_insightface | dae425d7ef5dfeccb50a8ddca5814a0901b2957a | [
"MIT"
] | null | null | null | face_detector.py | duwizerak/Keras_insightface | dae425d7ef5dfeccb50a8ddca5814a0901b2957a | [
"MIT"
] | null | null | null | face_detector.py | duwizerak/Keras_insightface | dae425d7ef5dfeccb50a8ddca5814a0901b2957a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from glob2 import glob
from skimage import transform
from skimage.io import imread, imsave
gpus = tf.config.experimental.list_physical_devices("GPU")
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, Tru... | 46.588983 | 149 | 0.606639 |
a76a5f631eaf931f6a0d7bb1f2bdb5a30e7ae751 | 4,132 | py | Python | pyleus/configuration.py | earthmine/pyleus | 4d9c14c9df470be6ff544f2ad82985f37e582d80 | [
"Apache-2.0"
] | 166 | 2015-01-14T16:06:37.000Z | 2021-11-15T12:17:11.000Z | pyleus/configuration.py | WenbinTan/pyleus | 8ab87e2d18b8b6a7e0471ceefdbb3ff23a576cce | [
"Apache-2.0"
] | 105 | 2015-01-16T19:59:06.000Z | 2016-05-13T19:40:45.000Z | pyleus/configuration.py | WenbinTan/pyleus | 8ab87e2d18b8b6a7e0471ceefdbb3ff23a576cce | [
"Apache-2.0"
] | 62 | 2015-01-19T07:42:24.000Z | 2021-06-05T21:02:09.000Z | """Configuration defaults and loading functions.
Pyleus will look for configuration files in the following file paths in order
of increasing precedence. The latter configuration overrides the previous one.
#. /etc/pyleus.conf
#. ~/.config/pyleus.conf
#. ~/.pyleus.conf
You can always specify a configuration file when... | 28.694444 | 79 | 0.717086 |
a76b01dad5f2ae8289af31fef183a815e3bdd1f2 | 1,318 | py | Python | tests/conftest.py | sdrobert/pydrobert-param | d9f68bbcebfcc5ca909c639b03b959526a8b1631 | [
"Apache-2.0"
] | 1 | 2021-05-14T18:27:13.000Z | 2021-05-14T18:27:13.000Z | tests/conftest.py | sdrobert/pydrobert-param | d9f68bbcebfcc5ca909c639b03b959526a8b1631 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | sdrobert/pydrobert-param | d9f68bbcebfcc5ca909c639b03b959526a8b1631 | [
"Apache-2.0"
] | null | null | null | from shutil import rmtree
from tempfile import mkdtemp
import pytest
import param
import pydrobert.param.serialization as serial
param.parameterized.warnings_as_exceptions = True
| 24.867925 | 56 | 0.677542 |
a76b06cca3e635c2f5710089e70486f5a0bbb87e | 1,942 | py | Python | tests/test_npaths.py | mtymchenko/npaths | 5019694784afee9f60ab0b5f0f0ef3051e113077 | [
"MIT"
] | null | null | null | tests/test_npaths.py | mtymchenko/npaths | 5019694784afee9f60ab0b5f0f0ef3051e113077 | [
"MIT"
] | null | null | null | tests/test_npaths.py | mtymchenko/npaths | 5019694784afee9f60ab0b5f0f0ef3051e113077 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
import matplotlib.pyplot as plt
from npaths import NPathNode, Filter, Circulator
__all__ = [
'TestNPathNode',
'TestFilter',
'TestCirculator'
]
GHz = 1e9
ohm = 1
pF = 1e-12
freqs = np.linspace(0.001, 6, 500)*GHz
if __name__ == '__main__':
unittest.main()
| 21.577778 | 56 | 0.549949 |
a76bc9e0503e467514bbda7a08ff3433e4b780d7 | 2,896 | py | Python | python/o80_pam/o80_ball.py | intelligent-soft-robots/o80_pam | 3491dcdace61f58e0cf31149184593da3cd2f017 | [
"BSD-3-Clause"
] | null | null | null | python/o80_pam/o80_ball.py | intelligent-soft-robots/o80_pam | 3491dcdace61f58e0cf31149184593da3cd2f017 | [
"BSD-3-Clause"
] | 2 | 2021-02-17T12:55:44.000Z | 2021-05-27T14:10:57.000Z | python/o80_pam/o80_ball.py | intelligent-soft-robots/o80_pam | 3491dcdace61f58e0cf31149184593da3cd2f017 | [
"BSD-3-Clause"
] | null | null | null | import o80
import o80_pam
import context
# convenience class for shooting virtual balls
# via o80, playing pre-recorded trajectories (hosted in context package)
| 31.139785 | 88 | 0.632597 |
a76c133ddf548f99aff8129ee6e9cbb2e7608901 | 5,374 | py | Python | pymic/transform/threshold.py | HiLab-git/PyMIC | abf5c43de43668b85f4c049c95a8f1b7cf1d9f16 | [
"Apache-2.0"
] | 147 | 2019-12-23T02:52:04.000Z | 2022-03-06T16:30:43.000Z | pymic/transform/threshold.py | HiLab-git/PyMIC | abf5c43de43668b85f4c049c95a8f1b7cf1d9f16 | [
"Apache-2.0"
] | 4 | 2020-12-18T12:47:21.000Z | 2021-05-21T02:18:01.000Z | pymic/transform/threshold.py | HiLab-git/PyMIC | abf5c43de43668b85f4c049c95a8f1b7cf1d9f16 | [
"Apache-2.0"
] | 32 | 2020-01-08T13:48:50.000Z | 2022-03-12T06:31:13.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, division
import torch
import json
import math
import random
import numpy as np
from scipy import ndimage
from pymic.transform.abstract_transform import AbstractTransform
from pymic.util.image_process import *
| 48.854545 | 106 | 0.619092 |
a76da74714c837b30e9c8d8f4fbec4b1ea99f85f | 211 | py | Python | exerc18/18.py | WilliamSampaio/ExerciciosPython | 4317d242d2944b91b5d455da8a4ac3a33e154385 | [
"MIT"
] | null | null | null | exerc18/18.py | WilliamSampaio/ExerciciosPython | 4317d242d2944b91b5d455da8a4ac3a33e154385 | [
"MIT"
] | null | null | null | exerc18/18.py | WilliamSampaio/ExerciciosPython | 4317d242d2944b91b5d455da8a4ac3a33e154385 | [
"MIT"
] | null | null | null | import os
numeros = [0,0]
numeros[0] = float(input('Digite o numero 1: '))
numeros[1] = float(input('Digite o numero 2: '))
print(f'o maior valor entre os dois : {max(numeros)}')
os.system('pause') | 21.1 | 56 | 0.630332 |
a76e729d78669a3e706e9fdd618185c47c67bee8 | 7,958 | py | Python | DictionaryOfNewZealandEnglish/headword/citation/views.py | eResearchSandpit/DictionaryOfNewZealandEnglish | cf3cec34aafc7a9a8bd0413883f5eeb314d46a48 | [
"BSD-3-Clause"
] | null | null | null | DictionaryOfNewZealandEnglish/headword/citation/views.py | eResearchSandpit/DictionaryOfNewZealandEnglish | cf3cec34aafc7a9a8bd0413883f5eeb314d46a48 | [
"BSD-3-Clause"
] | null | null | null | DictionaryOfNewZealandEnglish/headword/citation/views.py | eResearchSandpit/DictionaryOfNewZealandEnglish | cf3cec34aafc7a9a8bd0413883f5eeb314d46a48 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Citations
from flask import (Blueprint, request, render_template, flash, url_for,
redirect, session)
from flask.ext.login import login_required, current_user
import logging, sys, re
from sqlalchemy.exc import IntegrityError, InvalidRequestError
from DictionaryOfNewZealandE... | 35.846847 | 86 | 0.518975 |
a76eab46ba07f0fb8885169ad3e849032ee2d76c | 81 | py | Python | tests/conf.py | xncbf/django-dynamodb-cache | be6d1b4b8e92d581041043bcd694f2a9f00ee386 | [
"MIT"
] | 21 | 2022-02-16T10:18:24.000Z | 2022-03-31T23:40:06.000Z | tests/conf.py | xncbf/django-dynamodb-cache | be6d1b4b8e92d581041043bcd694f2a9f00ee386 | [
"MIT"
] | 9 | 2022-03-01T06:40:59.000Z | 2022-03-26T08:12:31.000Z | tests/conf.py | xncbf/django-dynamodb-cache | be6d1b4b8e92d581041043bcd694f2a9f00ee386 | [
"MIT"
] | null | null | null | from random import random
TABLE_NAME = f"test-django-dynamodb-cache-{random()}"
| 20.25 | 53 | 0.765432 |
a76f70dafa18b95735a41dd028a3dcb5cbf10b66 | 1,863 | py | Python | dockerfiles/greeting/0.2/database.py | scherbertlemon/docker-training | f94c79b461f78a4d9242a3e838524efb70a2792e | [
"MIT"
] | 1 | 2021-08-06T17:00:53.000Z | 2021-08-06T17:00:53.000Z | dockerfiles/greeting/0.2/database.py | scherbertlemon/docker-training | f94c79b461f78a4d9242a3e838524efb70a2792e | [
"MIT"
] | null | null | null | dockerfiles/greeting/0.2/database.py | scherbertlemon/docker-training | f94c79b461f78a4d9242a3e838524efb70a2792e | [
"MIT"
] | null | null | null | import psycopg2 as pg
import os
"""
Database (Postgres) module connecting to the database for the simple greeting
app.
"""
# The hostname where the database is running can be determined via environment
PGHOST = os.getenv("PG_HOST") if os.getenv("PG_HOST") else "localhost"
def get_pgconn():
"""
Connects to t... | 23 | 78 | 0.616747 |
a76faf50eeea6f4eeb893d3b2fcef43aec0e7eaf | 3,277 | py | Python | generator/constant_aug.py | zhou3968322/pytorch-CycleGAN-and-pix2pix | 30730fddbc6797c5e421cd49c9fef369011d484d | [
"BSD-3-Clause"
] | null | null | null | generator/constant_aug.py | zhou3968322/pytorch-CycleGAN-and-pix2pix | 30730fddbc6797c5e421cd49c9fef369011d484d | [
"BSD-3-Clause"
] | null | null | null | generator/constant_aug.py | zhou3968322/pytorch-CycleGAN-and-pix2pix | 30730fddbc6797c5e421cd49c9fef369011d484d | [
"BSD-3-Clause"
] | null | null | null | # 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
# -*- coding:utf-8 -*-
# email:bingchengzhou@foxmail.com
# create: 2020/11/25
from imgaug imp... | 30.915094 | 90 | 0.53494 |
a77112792896e19b96e12810cacf0861b725bf41 | 3,873 | py | Python | ooobuild/lo/packages/x_data_sink_encr_support.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/packages/x_data_sink_encr_support.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/packages/x_data_sink_encr_support.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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... | 39.520408 | 178 | 0.694036 |
a77229f1a130b744660ffd1757e86e6d6dd38d54 | 1,074 | py | Python | questions/q197_choose_and_swap/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null | questions/q197_choose_and_swap/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | 1 | 2021-05-15T07:56:51.000Z | 2021-05-15T07:56:51.000Z | questions/q197_choose_and_swap/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
ob = Solution()
t = int (input ())
for _ in range (t):
A = input()
ans = ob.chooseandswap(A)
print(ans)
| 23.347826 | 46 | 0.286778 |
a7730b1c8e64cf80eb7189889ed0d119ac2a5fc8 | 10,625 | py | Python | assignment4/assignment4.py | umamibeef/UBC-EECE-560-Coursework | 4c89fb03a4dacf778e31eeb978423bfdaa95b591 | [
"MIT"
] | null | null | null | assignment4/assignment4.py | umamibeef/UBC-EECE-560-Coursework | 4c89fb03a4dacf778e31eeb978423bfdaa95b591 | [
"MIT"
] | null | null | null | assignment4/assignment4.py | umamibeef/UBC-EECE-560-Coursework | 4c89fb03a4dacf778e31eeb978423bfdaa95b591 | [
"MIT"
] | null | null | null | import argparse
import csv
import matplotlib
import matplotlib.ticker as tck
import matplotlib.pyplot as plt
import numpy as np
# Matplotlib export settings
matplotlib.use('pgf')
import matplotlib.pyplot as plt
matplotlib.rcParams.update({
'pgf.texsystem': 'pdflatex',
'font.size': 10,
'font.family': 'ser... | 48.076923 | 155 | 0.660706 |
a774dc8ec0c70281d59955e540db50979da5c0cf | 4,744 | py | Python | src/python/pants/scm/subsystems/changed.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | 1 | 2021-11-11T14:04:24.000Z | 2021-11-11T14:04:24.000Z | src/python/pants/scm/subsystems/changed.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | null | null | null | src/python/pants/scm/subsystems/changed.py | lahosken/pants | 1b0340987c9b2eab9411416803c75b80736716e4 | [
"Apache-2.0"
] | 1 | 2021-11-11T14:04:12.000Z | 2021-11-11T14:04:12.000Z | # coding=utf-8
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
from pants.base.buil... | 41.982301 | 103 | 0.706788 |
a775681f9ac02e296e8b3818c15064c985162dc4 | 1,825 | py | Python | SOLID/LSP/GoodLSPCode.py | maumneto/DesignPatternCourse | eb55a3d4e6a3261265dc98fcc6ec48d7b8e6b7a8 | [
"MIT"
] | 1 | 2021-06-26T15:32:35.000Z | 2021-06-26T15:32:35.000Z | SOLID/LSP/GoodLSPCode.py | maumneto/DesignPatternCourse | eb55a3d4e6a3261265dc98fcc6ec48d7b8e6b7a8 | [
"MIT"
] | null | null | null | SOLID/LSP/GoodLSPCode.py | maumneto/DesignPatternCourse | eb55a3d4e6a3261265dc98fcc6ec48d7b8e6b7a8 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
commonAccount = AccountCommon(500)
commonAccount.deposit(500)
commonAccount.withdraw(100)
commonAccount.income(0.005)
commonAccount.message()
print(' ------- ')
spetialAccount = AccountSpetial(1000)
spetialAccount.deposit(500)
spetialAccount.withdraw(200)
... | 26.449275 | 65 | 0.629041 |
a7758434e025289995bc94bace734e2f383e3e76 | 818 | py | Python | test/test_global_customer_api.py | ezmaxinc/eZmax-SDK-python | 6794b8001abfb7d9ae18a3b87aba164839b925a0 | [
"MIT"
] | null | null | null | test/test_global_customer_api.py | ezmaxinc/eZmax-SDK-python | 6794b8001abfb7d9ae18a3b87aba164839b925a0 | [
"MIT"
] | null | null | null | test/test_global_customer_api.py | ezmaxinc/eZmax-SDK-python | 6794b8001abfb7d9ae18a3b87aba164839b925a0 | [
"MIT"
] | null | null | null | """
eZmax API Definition (Full)
This API expose all the functionnalities for the eZmax and eZsign applications. # noqa: E501
The version of the OpenAPI document: 1.1.7
Contact: support-api@ezmax.ca
Generated by: https://openapi-generator.tech
"""
import unittest
import eZmaxApi
from eZmaxApi.a... | 22.108108 | 97 | 0.689487 |
a7762ca16d51e6d7fb512c7980d15ee79dbeff30 | 3,930 | py | Python | reconstruction_model.py | JungahYang/Deep3DFaceReconstruction | 041b89a781f90ba459f3294c4e568b5c1a3cf7da | [
"MIT"
] | 1,424 | 2019-05-07T05:03:12.000Z | 2022-03-31T08:52:29.000Z | reconstruction_model.py | zepengF/Deep3DFaceReconstruction | 5b131a3e67597da67409486e20db50007f48427d | [
"MIT"
] | 194 | 2019-05-08T21:11:23.000Z | 2022-03-30T02:58:25.000Z | reconstruction_model.py | zepengF/Deep3DFaceReconstruction | 5b131a3e67597da67409486e20db50007f48427d | [
"MIT"
] | 359 | 2019-05-10T11:05:41.000Z | 2022-03-28T21:57:42.000Z | import tensorflow as tf
import face_decoder
import networks
import losses
from utils import *
###############################################################################################
# model for single image face reconstruction
##############################################################################... | 45.697674 | 142 | 0.711705 |
a7779af144a3ba68deaf47c8047f304427889fe5 | 2,002 | py | Python | organizational_area/admin.py | mspasiano/uniTicket | 1e8e4c2274293e751deea5b8b1fb4116136c5641 | [
"Apache-2.0"
] | null | null | null | organizational_area/admin.py | mspasiano/uniTicket | 1e8e4c2274293e751deea5b8b1fb4116136c5641 | [
"Apache-2.0"
] | null | null | null | organizational_area/admin.py | mspasiano/uniTicket | 1e8e4c2274293e751deea5b8b1fb4116136c5641 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import *
from .admin_inlines import *
#@admin.register(TipoDotazione)
#class TipoDotazioneAdmin(admin.ModelAdmin):
#list_display = ('nome', 'descrizione')
#class Media:
#js = ('js/textarea-autosize.js',)
#css = {'all': ('css/textarea-small.cs... | 29.014493 | 68 | 0.700799 |
a777a11d9cdd73ba24751d88b5b9e8b62e919781 | 2,509 | py | Python | tests/test_symgroup.py | efrembernuz/symeess | d74868bbb8463e0420fcc28e3554fbfa8e6de22f | [
"MIT"
] | 1 | 2017-10-25T01:42:14.000Z | 2017-10-25T01:42:14.000Z | tests/test_symgroup.py | efrembernuz/symeess | d74868bbb8463e0420fcc28e3554fbfa8e6de22f | [
"MIT"
] | null | null | null | tests/test_symgroup.py | efrembernuz/symeess | d74868bbb8463e0420fcc28e3554fbfa8e6de22f | [
"MIT"
] | null | null | null | import unittest
from cosymlib import file_io
from numpy import testing
from cosymlib.molecule.geometry import Geometry
import os
data_dir = os.path.join(os.path.dirname(__file__), 'data')
| 44.017544 | 96 | 0.595058 |
a777d3b6992912736d9d3c1557062ac6df7a8a29 | 5,651 | py | Python | mouth_detecting.py | nuocheng/Face-detection | 84375b0c1bacaf572fb04aa6e05751469fe5f9c8 | [
"MIT"
] | null | null | null | mouth_detecting.py | nuocheng/Face-detection | 84375b0c1bacaf572fb04aa6e05751469fe5f9c8 | [
"MIT"
] | null | null | null | mouth_detecting.py | nuocheng/Face-detection | 84375b0c1bacaf572fb04aa6e05751469fe5f9c8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# import the necessary packages
from scipy.spatial import distance as dist
from imutils.video import FileVideoStream
from imutils.video import VideoStream
from imutils import face_utils
import numpy as np # numpy
import argparse
import imutils
import time
import dlib
import cv2
#
#
#
EYE... | 32.854651 | 117 | 0.603787 |
a7780199003eb4084f3a08db621a30c4ac94b9d2 | 2,894 | py | Python | Scripts/Ros/Identifica_cor.py | pcliquet/robotic_resumo | 3d1d8705820cae39d5be956836a94c7884ab490d | [
"MIT"
] | 1 | 2022-03-26T22:50:26.000Z | 2022-03-26T22:50:26.000Z | Scripts/Ros/Identifica_cor.py | pcliquet/robotic_resumo | 3d1d8705820cae39d5be956836a94c7884ab490d | [
"MIT"
] | null | null | null | Scripts/Ros/Identifica_cor.py | pcliquet/robotic_resumo | 3d1d8705820cae39d5be956836a94c7884ab490d | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding:utf-8 -*-
import rospy
import numpy as np
import tf
import math
import cv2
import time
from geometry_msgs.msg import Twist, Vector3, Pose
from nav_msgs.msg import Odometry
from sensor_msgs.msg import Image, CompressedImage
from cv_bridge import CvBridge, CvBridgeError
import smach... | 33.651163 | 129 | 0.664824 |
a77866394277674aa9998582e0c75620917bdb48 | 2,041 | py | Python | integration_tests/test_test_oracle_tax.py | weblucas/mseg-semantic | ec3d179003bb26dd0f1336853b719319721757a4 | [
"MIT"
] | 391 | 2020-06-05T17:30:44.000Z | 2022-03-31T12:01:30.000Z | integration_tests/test_test_oracle_tax.py | weblucas/mseg-semantic | ec3d179003bb26dd0f1336853b719319721757a4 | [
"MIT"
] | 27 | 2020-06-06T15:08:37.000Z | 2022-02-28T07:57:57.000Z | integration_tests/test_test_oracle_tax.py | weblucas/mseg-semantic | ec3d179003bb26dd0f1336853b719319721757a4 | [
"MIT"
] | 57 | 2020-06-09T06:05:30.000Z | 2022-03-28T15:49:36.000Z | #!/usr/bin/python3
from pathlib import Path
from types import SimpleNamespace
from mseg_semantic.scripts.collect_results import parse_result_file
from mseg_semantic.tool.test_oracle_tax import test_oracle_taxonomy_model
REPO_ROOT_ = Path(__file__).resolve().parent.parent
# Replace this variables with your own path... | 28.347222 | 96 | 0.708476 |
a7799a223cdf2e189549e42fb31de6f6391c2873 | 1,911 | py | Python | sports_manager/models/gymnasium.py | hbuyse/dj-sports-manager | 7e32cc41347b968b4ede9ea6846de14d9504c3f9 | [
"MIT"
] | null | null | null | sports_manager/models/gymnasium.py | hbuyse/dj-sports-manager | 7e32cc41347b968b4ede9ea6846de14d9504c3f9 | [
"MIT"
] | null | null | null | sports_manager/models/gymnasium.py | hbuyse/dj-sports-manager | 7e32cc41347b968b4ede9ea6846de14d9504c3f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Gymnasium implementation."""
# Django
from django.core.validators import RegexValidator
from django.db import models
from django.utils.text import slugify
from django.utils.translation import ugettext_lazy as _ # noqa
| 36.75 | 103 | 0.588697 |
a779d1a47d9473c22bbee36fab9477af4aad4943 | 228 | py | Python | 01-logica-de-programacao-e-algoritmos/Aula 04/1/exercicio01.py | rafaelbarretomg/Uninter | 1f84b0103263177122663e991db3a8aeb106a959 | [
"MIT"
] | null | null | null | 01-logica-de-programacao-e-algoritmos/Aula 04/1/exercicio01.py | rafaelbarretomg/Uninter | 1f84b0103263177122663e991db3a8aeb106a959 | [
"MIT"
] | null | null | null | 01-logica-de-programacao-e-algoritmos/Aula 04/1/exercicio01.py | rafaelbarretomg/Uninter | 1f84b0103263177122663e991db3a8aeb106a959 | [
"MIT"
] | null | null | null | # Exercicio 01 Tuplas
x = int(input('Digite o primeiro numero: '))
y = int(input('Digite o segundo numero: '))
cont = 1
soma = x
while cont < y:
soma = soma + x
cont = cont + 1
print('O resultado eh: {}' .format(soma))
| 20.727273 | 44 | 0.618421 |
a77a0a8078a541187f7e349449f50c15dd027ebe | 832 | py | Python | docs/OOPS/Accessing_pvt_var2.py | munyumunyu/Python-for-beginners | 335d001d4b8f13af71f660beed0b7f5fe313aa3b | [
"MIT"
] | 158 | 2018-10-03T23:36:48.000Z | 2022-03-25T00:16:00.000Z | docs/OOPS/Accessing_pvt_var2.py | munyumunyu/Python-for-beginners | 335d001d4b8f13af71f660beed0b7f5fe313aa3b | [
"MIT"
] | 10 | 2018-10-11T03:52:28.000Z | 2019-12-04T02:51:28.000Z | docs/OOPS/Accessing_pvt_var2.py | munyumunyu/Python-for-beginners | 335d001d4b8f13af71f660beed0b7f5fe313aa3b | [
"MIT"
] | 40 | 2018-10-03T10:47:28.000Z | 2022-02-22T19:55:46.000Z | '''
To have a error free way of accessing and updating private variables, we create specific methods for this.
Those methods which are meant to set a value to a private variable are called setter methods and methods
meant to access private variable values are called getter methods.
The below code is an example of g... | 32 | 107 | 0.71274 |
a77b4550c67262bf40db6267243d9f55a2869fd2 | 21,013 | py | Python | src/runmanager/runinstance.py | scherma/antfarm | ad4d1d564eb79bdc7e00780b97ca10594c75cd5c | [
"MIT"
] | 6 | 2018-08-26T10:15:29.000Z | 2022-03-03T21:12:37.000Z | src/runmanager/runinstance.py | scherma/antfarm | ad4d1d564eb79bdc7e00780b97ca10594c75cd5c | [
"MIT"
] | 10 | 2018-03-09T18:18:28.000Z | 2021-05-06T21:37:53.000Z | src/runmanager/runinstance.py | scherma/antfarm | ad4d1d564eb79bdc7e00780b97ca10594c75cd5c | [
"MIT"
] | 3 | 2018-11-29T07:47:30.000Z | 2020-05-24T09:58:57.000Z | #!/usr/bin/env python3
# coding: utf-8
# MIT License https://github.com/scherma
# contact http_error_418 @ unsafehex.com
import logging, os, configparser, libvirt, json, arrow, pyvnc, shutil, time, victimfiles, glob, websockify, multiprocessing, signal
import tempfile, evtx_dates, db_calls, psycopg2, psycopg2.extras,... | 42.279678 | 158 | 0.555942 |
a77c6d836bc31836353a31c25d2a780968623e8a | 4,104 | py | Python | test-framework/test-suites/integration/tests/list/test_list_repo.py | sammeidinger/stack | a8085dce179dbe903f65f136f4b63bcc076cc057 | [
"BSD-3-Clause"
] | 123 | 2015-05-12T23:36:45.000Z | 2017-07-05T23:26:57.000Z | test-framework/test-suites/integration/tests/list/test_list_repo.py | sammeidinger/stack | a8085dce179dbe903f65f136f4b63bcc076cc057 | [
"BSD-3-Clause"
] | 177 | 2015-06-05T19:17:47.000Z | 2017-07-07T17:57:24.000Z | test-framework/test-suites/integration/tests/list/test_list_repo.py | sammeidinger/stack | a8085dce179dbe903f65f136f4b63bcc076cc057 | [
"BSD-3-Clause"
] | 32 | 2015-06-07T02:25:03.000Z | 2017-06-23T07:35:35.000Z | import json
| 33.096774 | 144 | 0.690058 |
a78199b06e3d85a0cae2dc6b22fe2403a2e45cd5 | 405 | py | Python | Python/luhnchecksum.py | JaredLGillespie/OpenKattis | 71d26883cb5b8a4a1d63a072587de5575d7c29af | [
"MIT"
] | null | null | null | Python/luhnchecksum.py | JaredLGillespie/OpenKattis | 71d26883cb5b8a4a1d63a072587de5575d7c29af | [
"MIT"
] | null | null | null | Python/luhnchecksum.py | JaredLGillespie/OpenKattis | 71d26883cb5b8a4a1d63a072587de5575d7c29af | [
"MIT"
] | null | null | null | # https://open.kattis.com/problems/luhnchecksum
for _ in range(int(input())):
count = 0
for i, d in enumerate(reversed(input())):
if i % 2 == 0:
count += int(d)
continue
x = 2 * int(d)
if x < 10:
count += x
else:
x = str(x)
... | 25.3125 | 48 | 0.449383 |
a7822d26e1d72928c623eabd7ce7c6e586e1f9ee | 2,531 | py | Python | dart_board/plotting.py | GSavathrakis/dart_board | 9430d97675d69e381b701499587a02fd71b02990 | [
"MIT"
] | 8 | 2017-12-04T22:32:25.000Z | 2021-10-01T11:45:09.000Z | dart_board/plotting.py | GSavathrakis/dart_board | 9430d97675d69e381b701499587a02fd71b02990 | [
"MIT"
] | 2 | 2018-03-14T00:10:43.000Z | 2021-05-02T18:51:11.000Z | dart_board/plotting.py | GSavathrakis/dart_board | 9430d97675d69e381b701499587a02fd71b02990 | [
"MIT"
] | 2 | 2018-07-17T23:00:01.000Z | 2021-08-25T15:46:38.000Z | import matplotlib.pyplot as plt
import numpy as np
# from dart_board import plotting
# import numpy as np
# import pickle
# chains = pickle.load(open("../data/HMXB_chain.obj", "rb"))
# plotting.plot_chains(chains)
| 30.130952 | 120 | 0.621889 |
a78349abf743773098268654aaf64c037f2be3f7 | 2,063 | py | Python | challenge/eval.py | CodeCrawl/deep_learning | 3f9c208bba5ee17b4b68be74dc10e43839b4f6d0 | [
"Apache-2.0"
] | 8 | 2018-11-03T16:32:35.000Z | 2020-05-18T23:03:17.000Z | challenge/eval.py | CodeCrawl/deep_learning | 3f9c208bba5ee17b4b68be74dc10e43839b4f6d0 | [
"Apache-2.0"
] | null | null | null | challenge/eval.py | CodeCrawl/deep_learning | 3f9c208bba5ee17b4b68be74dc10e43839b4f6d0 | [
"Apache-2.0"
] | 7 | 2018-11-07T14:39:20.000Z | 2020-04-19T23:54:20.000Z | ##
## Evaluation Script
##
import numpy as np
import time
from sample_model import Model
from data_loader import data_loader
from generator import Generator
if __name__ == '__main__':
program_start = time.time()
accuracy = evaluate()
score = calculate_score(accuracy)
program_end = time.time()
tot... | 26.792208 | 86 | 0.600582 |
a78364d0cdf1ba12f5219bbb941cde9ada297c73 | 7,793 | py | Python | PaddleRec/tdm/tdm_demo/infer_network.py | danleifeng/models | b87761f8100a545e0015046dd55d886ce90c190e | [
"Apache-2.0"
] | 2 | 2020-03-12T13:35:02.000Z | 2020-03-12T14:54:23.000Z | PaddleRec/tdm/tdm_demo/infer_network.py | danleifeng/models | b87761f8100a545e0015046dd55d886ce90c190e | [
"Apache-2.0"
] | 1 | 2020-07-02T03:05:00.000Z | 2020-07-02T03:05:00.000Z | PaddleRec/tdm/tdm_demo/infer_network.py | danleifeng/models | b87761f8100a545e0015046dd55d886ce90c190e | [
"Apache-2.0"
] | 1 | 2020-09-09T16:53:01.000Z | 2020-09-09T16:53:01.000Z | # -*- coding=utf-8 -*-
"""
# Copyright (c) 2020 PaddlePaddle 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... | 39.760204 | 80 | 0.597203 |
a7855fa0e107181fe9f7c866727366717fbbb9d3 | 727 | py | Python | fixtures/requests.py | AzatAza/december-api-tests | dd120fd0c479b035dbe84ccd1fb1dd687d84af5d | [
"Apache-2.0"
] | null | null | null | fixtures/requests.py | AzatAza/december-api-tests | dd120fd0c479b035dbe84ccd1fb1dd687d84af5d | [
"Apache-2.0"
] | null | null | null | fixtures/requests.py | AzatAza/december-api-tests | dd120fd0c479b035dbe84ccd1fb1dd687d84af5d | [
"Apache-2.0"
] | null | null | null | import requests
from requests import Response
| 42.764706 | 119 | 0.645117 |
a7857bc199ab6450358c23073cebf9f0bd31bb0d | 352 | py | Python | rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py | MLH-Fellowship/LarynxCode | 840fee18c689a357052825607c27fc8e3e56571c | [
"MIT"
] | 1 | 2021-09-17T06:11:02.000Z | 2021-09-17T06:11:02.000Z | rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py | soma2000-lang/LarynxCode | 840fee18c689a357052825607c27fc8e3e56571c | [
"MIT"
] | 5 | 2021-02-03T05:29:41.000Z | 2021-02-08T01:14:11.000Z | rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py | soma2000-lang/LarynxCode | 840fee18c689a357052825607c27fc8e3e56571c | [
"MIT"
] | 4 | 2021-02-03T05:05:00.000Z | 2021-07-14T06:21:10.000Z | from castervoice.lib.ctrl.mgr.errors.base_class_error import DontUseBaseClassError
| 25.142857 | 82 | 0.75 |
a7871a31d1f892b28ff5af9f08dffdc9caf09213 | 262 | py | Python | main/urls.py | homata/snow_removing | c02585b8ceab3da107b932d6066c8b8344af1ff7 | [
"Apache-2.0"
] | 2 | 2018-12-05T01:03:10.000Z | 2019-03-16T04:27:03.000Z | main/urls.py | homata/snow_removing | c02585b8ceab3da107b932d6066c8b8344af1ff7 | [
"Apache-2.0"
] | null | null | null | main/urls.py | homata/snow_removing | c02585b8ceab3da107b932d6066c8b8344af1ff7 | [
"Apache-2.0"
] | 1 | 2018-12-04T14:18:08.000Z | 2018-12-04T14:18:08.000Z | from django.urls import include, path
from . import views
from django.views.generic.base import RedirectView
#
# https://docs.djangoproject.com/ja/2.0/intro/tutorial03/
app_name = 'main'
urlpatterns = [
path('', views.index, name='index'),
]
| 21.833333 | 57 | 0.736641 |
a7882585c7ab1245006e29c8a68efd228a0cc9dc | 1,114 | py | Python | server/server/urls.py | oSoc17/lopeningent_backend | 3e1c149038c3773f66dfbbc2f15ebd0692ecb4cd | [
"MIT"
] | 4 | 2017-07-04T15:18:59.000Z | 2017-07-08T10:48:37.000Z | server/server/urls.py | oSoc17/lopeningent_backend | 3e1c149038c3773f66dfbbc2f15ebd0692ecb4cd | [
"MIT"
] | 16 | 2017-07-04T15:36:41.000Z | 2017-10-18T07:47:45.000Z | server/server/urls.py | oSoc17/lopeningent_backend | 3e1c149038c3773f66dfbbc2f15ebd0692ecb4cd | [
"MIT"
] | null | null | null | """server URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... | 37.133333 | 79 | 0.701975 |
a7884b84cf2835ce8244b051ecf8f0adaa14e7d4 | 9,507 | py | Python | app/backend/knowledge_base_approach/python-client/swagger_client/api/default_api.py | e-lubrini/fake-news-detector | f2464e4cac73d9203e7483ac0aa5cd47ddfba811 | [
"MIT"
] | null | null | null | app/backend/knowledge_base_approach/python-client/swagger_client/api/default_api.py | e-lubrini/fake-news-detector | f2464e4cac73d9203e7483ac0aa5cd47ddfba811 | [
"MIT"
] | 1 | 2021-11-24T12:23:49.000Z | 2021-11-24T12:23:49.000Z | app/backend/knowledge_base_approach/python-client/swagger_client/api/default_api.py | e-lubrini/fake-news-detector | f2464e4cac73d9203e7483ac0aa5cd47ddfba811 | [
"MIT"
] | 1 | 2021-11-24T18:07:44.000Z | 2021-11-24T18:07:44.000Z | # coding: utf-8
"""
FRED API
FRED is a tool for automatically producing RDF/OWL ontologies and linked data from natural language sentences. The method is based on Combinatory Categorial Grammar, Discourse Representation Theory, Linguistic Frames, and Ontology Design Patterns. Results are enriched with NER and... | 54.637931 | 305 | 0.664458 |
a788aafcac15ec56bc56e7dbc0349b85a1880056 | 1,496 | py | Python | geesedb/interpreter/metadata.py | informagi/GeeseDB | b502830cafbcba8676e7e779d13d5bc14ba842f9 | [
"MIT"
] | 12 | 2021-07-05T12:33:20.000Z | 2021-10-11T20:44:12.000Z | geesedb/interpreter/metadata.py | informagi/GeeseDB | b502830cafbcba8676e7e779d13d5bc14ba842f9 | [
"MIT"
] | 7 | 2021-07-28T20:40:36.000Z | 2021-10-12T12:31:51.000Z | geesedb/interpreter/metadata.py | informagi/GeeseDB | b502830cafbcba8676e7e779d13d5bc14ba842f9 | [
"MIT"
] | null | null | null | import json
from ..connection import get_connection
| 34.790698 | 90 | 0.584225 |
a78ab7709a2fb033bbbef0c592de69b2eb89f7f4 | 2,381 | py | Python | content_feeders/in.py | Giapa/ContentAggregator | 978c552406a770791cff435d41eb2bf135b5454d | [
"MIT"
] | null | null | null | content_feeders/in.py | Giapa/ContentAggregator | 978c552406a770791cff435d41eb2bf135b5454d | [
"MIT"
] | 2 | 2020-04-15T09:16:50.000Z | 2020-04-15T09:22:06.000Z | content_feeders/in.py | IEEEdiots/ContentAggregator | 978c552406a770791cff435d41eb2bf135b5454d | [
"MIT"
] | 1 | 2021-03-25T17:58:16.000Z | 2021-03-25T17:58:16.000Z | import requests
from bs4 import BeautifulSoup
if __name__ == '__main__':
crawl_page() | 34.014286 | 216 | 0.554389 |
a78b53e7326a1d9b30856a88ddc123ec056f3a2a | 18,573 | py | Python | resources/lib/database_tv.py | bradyemerson/plugin.video.showtimeanytime | 65e7f130c14c8ef963cb3669638b8cf14860ec82 | [
"Apache-2.0"
] | null | null | null | resources/lib/database_tv.py | bradyemerson/plugin.video.showtimeanytime | 65e7f130c14c8ef963cb3669638b8cf14860ec82 | [
"Apache-2.0"
] | null | null | null | resources/lib/database_tv.py | bradyemerson/plugin.video.showtimeanytime | 65e7f130c14c8ef963cb3669638b8cf14860ec82 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os.path
from datetime import date, datetime
from sqlite3 import dbapi2 as sqlite
from bs4 import BeautifulSoup
import simplejson as json
import xbmcvfs
import xbmcgui
import common
import connection
import database_common as db_common
... | 33.769091 | 127 | 0.586658 |
a78c1c68d2605e5b65a1772b489da024f926a771 | 16,450 | py | Python | apps/configuration/editions/base.py | sotkonstantinidis/testcircle | 448aa2148fbc2c969e60f0b33ce112d4740a8861 | [
"Apache-2.0"
] | 3 | 2019-02-24T14:24:43.000Z | 2019-10-24T18:51:32.000Z | apps/configuration/editions/base.py | sotkonstantinidis/testcircle | 448aa2148fbc2c969e60f0b33ce112d4740a8861 | [
"Apache-2.0"
] | 17 | 2017-03-14T10:55:56.000Z | 2022-03-11T23:20:19.000Z | apps/configuration/editions/base.py | sotkonstantinidis/testcircle | 448aa2148fbc2c969e60f0b33ce112d4740a8861 | [
"Apache-2.0"
] | 2 | 2016-02-01T06:32:40.000Z | 2019-09-06T04:33:50.000Z | import copy
from configuration.configuration import QuestionnaireConfiguration
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import F
from django.template.loader import render_to_string
from configuration.models import Configuration, Key, Value, Translati... | 35.376344 | 101 | 0.599392 |
a78ce58146e32ab5bc583a0b5ea144d7df99f985 | 10,152 | py | Python | EyePatterns/main_test_all_clusters.py | Sale1996/Pattern-detection-of-eye-tracking-scanpaths | 15c832f26dce98bb95445f9f39f454f99bbb6029 | [
"MIT"
] | 1 | 2021-12-07T08:02:30.000Z | 2021-12-07T08:02:30.000Z | EyePatterns/main_test_all_clusters.py | Sale1996/Pattern-detection-of-eye-tracking-scanpaths | 15c832f26dce98bb95445f9f39f454f99bbb6029 | [
"MIT"
] | null | null | null | EyePatterns/main_test_all_clusters.py | Sale1996/Pattern-detection-of-eye-tracking-scanpaths | 15c832f26dce98bb95445f9f39f454f99bbb6029 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import distance
from matplotlib import style
from clustering_algorithms.affinity_propagation import AffinityPropagation
from clustering_algorithms.custom_k_means import KMeans
from clustering_algorithms.custom_mean_shift import MeanShift
from clustering_algorithms.custom_mean_shift_strin... | 42.476987 | 123 | 0.775611 |
a78d7f529a85265c767d731a1463e302ccbc27fe | 2,381 | py | Python | src/onevision/cv/imgproc/color/integer.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | 2 | 2022-03-28T09:46:38.000Z | 2022-03-28T14:12:32.000Z | src/onevision/cv/imgproc/color/integer.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | src/onevision/cv/imgproc/color/integer.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""Conversion between single-channel integer value to 3-channels color image.
Mostly used for semantic segmentation.
"""
from __future__ import annotations
import numpy as np
import torch
from multipledispatch import dispatch
from torch import Tensor
from onevision.cv.... | 25.602151 | 77 | 0.640067 |
a78db64f92c9f41c5d84dd1c53250b84b8159383 | 5,932 | py | Python | doepy/problem_instance.py | scwolof/doepy | acb2cad95428de2c14b28563cff1aa30679e1f39 | [
"MIT"
] | 1 | 2020-04-23T13:43:35.000Z | 2020-04-23T13:43:35.000Z | doepy/problem_instance.py | scwolof/doepy | acb2cad95428de2c14b28563cff1aa30679e1f39 | [
"MIT"
] | null | null | null | doepy/problem_instance.py | scwolof/doepy | acb2cad95428de2c14b28563cff1aa30679e1f39 | [
"MIT"
] | 1 | 2021-06-13T14:38:32.000Z | 2021-06-13T14:38:32.000Z | """
MIT License
Copyright (c) 2019 Simon Olofsson
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish... | 34.289017 | 78 | 0.658968 |
a78f4a33fda334438866cc5eacb65a1aca2c29e8 | 1,831 | py | Python | snuba/datasets/dataset_schemas.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | snuba/datasets/dataset_schemas.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | snuba/datasets/dataset_schemas.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | from typing import Optional, List, Sequence, Union
from snuba.datasets.schemas import Schema
from snuba.datasets.schemas.tables import TableSchema, WritableTableSchema
| 33.290909 | 100 | 0.677226 |
a790c9288954c501a2b40dde1e0f624366ddda8c | 3,039 | py | Python | Benchmarking/benchmark_alphabet_increase.py | icezyclon/AALpy | 3c2f05fdbbcdc99b47ba6b918540239568fca17f | [
"MIT"
] | 61 | 2021-04-01T10:38:52.000Z | 2022-03-28T13:44:23.000Z | Benchmarking/benchmark_alphabet_increase.py | icezyclon/AALpy | 3c2f05fdbbcdc99b47ba6b918540239568fca17f | [
"MIT"
] | 16 | 2021-04-03T20:14:08.000Z | 2022-02-16T10:21:48.000Z | Benchmarking/benchmark_alphabet_increase.py | haubitzer/AALpy | e5b51742d886d5c5c72ab3e9c20eb349c56e2469 | [
"MIT"
] | 9 | 2021-04-05T13:43:17.000Z | 2022-03-09T14:06:17.000Z | from statistics import mean
import csv
from aalpy.SULs import DfaSUL, MealySUL, MooreSUL
from aalpy.learning_algs import run_Lstar
from aalpy.oracles import RandomWalkEqOracle
from aalpy.utils import generate_random_dfa, generate_random_mealy_machine, generate_random_moore_machine
num_states = 1000
alph_size = 5
rep... | 35.337209 | 115 | 0.699901 |
a7910f32dd12a019dc980eaf9b89d7426fb179b4 | 2,505 | py | Python | makehuman-master/makehuman/plugins/9_export_obj/mh2obj.py | Radiian-Arts-Main/Radiian-Arts-BioSource | 51e08da0b3171fe96badc68780fd0f3381d49738 | [
"MIT"
] | 1 | 2022-03-12T03:52:55.000Z | 2022-03-12T03:52:55.000Z | makehuman-master/makehuman/plugins/9_export_obj/mh2obj.py | Phantori/Radiian-Arts-BioSource | 51e08da0b3171fe96badc68780fd0f3381d49738 | [
"MIT"
] | null | null | null | makehuman-master/makehuman/plugins/9_export_obj/mh2obj.py | Phantori/Radiian-Arts-BioSource | 51e08da0b3171fe96badc68780fd0f3381d49738 | [
"MIT"
] | 3 | 2020-05-10T16:11:23.000Z | 2021-05-30T02:11:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
**Project Name:** MakeHuman
**Product Home Page:** http://www.makehumancommunity.org/
**Github Code Home Page:** https://github.com/makehumancommunity/
**Authors:** Thomas Larsson, Jonas Hauquier
**Copyright(c):** MakeHuman Team 2001-2019
*... | 32.960526 | 99 | 0.686228 |
a79274aaddcc40eb1292cf7717dedc453646ab72 | 3,245 | py | Python | util/plot_model.py | libccy/inv.cu | bab31a704b24888a99e07148b60266ff703f0968 | [
"MIT"
] | null | null | null | util/plot_model.py | libccy/inv.cu | bab31a704b24888a99e07148b60266ff703f0968 | [
"MIT"
] | null | null | null | util/plot_model.py | libccy/inv.cu | bab31a704b24888a99e07148b60266ff703f0968 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
from os.path import exists
import numpy as np
import pylab
import scipy.interpolate
def read_fortran(filename):
""" Reads Fortran style binary data and returns a numpy array.
"""
with open(filename, 'rb') as f:
# read size of record
f.seek(0)
n = np.fromfile(f, dtype='int32... | 24.216418 | 73 | 0.659476 |