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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
641eff21d70370ab332090e7949322ad7a153190 | 13,743 | py | Python | flash/data/data_module.py | edgarriba/lightning-flash | 62472d7615d95990df92a8a2f92f80af1ab737ac | [
"Apache-2.0"
] | 1 | 2021-05-03T06:42:34.000Z | 2021-05-03T06:42:34.000Z | flash/data/data_module.py | edgarriba/lightning-flash | 62472d7615d95990df92a8a2f92f80af1ab737ac | [
"Apache-2.0"
] | null | null | null | flash/data/data_module.py | edgarriba/lightning-flash | 62472d7615d95990df92a8a2f92f80af1ab737ac | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 39.950581 | 119 | 0.663974 |
641f16f4dbc51fe04590691db0086960375589f4 | 4,118 | py | Python | image_generation/data/testing.py | BScarleth/clevr-dataset-generation-mask | efa11d69b2fc21a2007205cac6a4b0122149af7d | [
"BSD-3-Clause"
] | null | null | null | image_generation/data/testing.py | BScarleth/clevr-dataset-generation-mask | efa11d69b2fc21a2007205cac6a4b0122149af7d | [
"BSD-3-Clause"
] | null | null | null | image_generation/data/testing.py | BScarleth/clevr-dataset-generation-mask | efa11d69b2fc21a2007205cac6a4b0122149af7d | [
"BSD-3-Clause"
] | null | null | null | import cv2
#image = cv2.imread('/home/brenda/Documentos/independent_study/clevr-dataset-gen/output/images/CLEVR_new_000000.png')
#image = cv2.imread('/home/brenda/Escritorio/tmpps5tswcu.png')
image = cv2.imread('/home/brenda/Escritorio/tmp47s462az.png')
print("imagen: ", image.shape, " ", image.shape[0]* image.sha... | 26.915033 | 120 | 0.573337 |
642258fc8f2651e821a5bcb66a823371ffdb8d3d | 213 | py | Python | C1.py | dpocheng/SIMPLESEM-Compiler-Semantic | 9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d | [
"Apache-2.0"
] | null | null | null | C1.py | dpocheng/SIMPLESEM-Compiler-Semantic | 9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d | [
"Apache-2.0"
] | null | null | null | C1.py | dpocheng/SIMPLESEM-Compiler-Semantic | 9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d | [
"Apache-2.0"
] | null | null | null | a, b, c = 3, 1, -1
main()
| 15.214286 | 22 | 0.328638 |
6423b272fd3f08098ebf8d314748cf75a6207bb0 | 1,157 | py | Python | accounts/accounts/doctype/purchase_invoice/purchase_invoice.py | sumaiya2908/Accounting-App | 4de21b6a5d69ab422483303c4a743f3e323783a3 | [
"MIT"
] | null | null | null | accounts/accounts/doctype/purchase_invoice/purchase_invoice.py | sumaiya2908/Accounting-App | 4de21b6a5d69ab422483303c4a743f3e323783a3 | [
"MIT"
] | null | null | null | accounts/accounts/doctype/purchase_invoice/purchase_invoice.py | sumaiya2908/Accounting-App | 4de21b6a5d69ab422483303c4a743f3e323783a3 | [
"MIT"
] | null | null | null | # Copyright (c) 2021, Summayya and contributors
# For license information, please see license.txt
# import frappe
from frappe.model.document import Document
from ..gl_entry.gl_entry import create_gl_entry
| 26.906977 | 70 | 0.611063 |
6425b9d5a46f13b1d3e986f11cbc61c7dd984f83 | 499 | py | Python | setup.py | dgaston/kvasir | 5e938193a936944c765b8dd78600acc258fedbab | [
"MIT"
] | null | null | null | setup.py | dgaston/kvasir | 5e938193a936944c765b8dd78600acc258fedbab | [
"MIT"
] | null | null | null | setup.py | dgaston/kvasir | 5e938193a936944c765b8dd78600acc258fedbab | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='Kvasir',
version='0.9',
description='Kvasir OpenShift App',
author='Dan Gaston',
author_email='admin@deaddriftbio.com',
url='https://www.python.org/community/sigs/current/distutils-sig',
install_requires=['Flask', 'MarkupSafe', 'Flask-MongoEn... | 38.384615 | 87 | 0.593186 |
6426477b8ed07962bc5bc2e8ce0ab2a16b7c39da | 1,151 | py | Python | stoich.py | jonasoh/thermosampler | 013e55cef255b89b05c4f0e76bec9512d900f516 | [
"MIT"
] | 2 | 2021-06-11T20:35:20.000Z | 2021-08-19T09:51:17.000Z | stoich.py | jonasoh/thermosampler | 013e55cef255b89b05c4f0e76bec9512d900f516 | [
"MIT"
] | 8 | 2021-07-02T08:14:52.000Z | 2021-11-19T15:56:48.000Z | stoich.py | jonasoh/thermosampler | 013e55cef255b89b05c4f0e76bec9512d900f516 | [
"MIT"
] | 1 | 2021-11-19T09:45:03.000Z | 2021-11-19T09:45:03.000Z | #!/usr/bin/env python3
# Import modules
import sys, os
import pandas as pd
import collections
import itertools
import argparse
import re
# Import functions
from mdf import parse_equation, read_reactions
# Define functions
# Main code block
if __name__ == "__main__":
parser = argparse.ArgumentParser()
pars... | 24.489362 | 71 | 0.682884 |
6427067cb0803864cbac859e6090f9b18cef3bcf | 1,090 | py | Python | engine/vector.py | dbrizov/PyTetris | f783526a37944452607d86c5def28dbaf3cd4481 | [
"MIT"
] | 3 | 2018-07-19T11:59:02.000Z | 2021-12-19T15:05:02.000Z | engine/vector.py | dbrizov/PyTetris | f783526a37944452607d86c5def28dbaf3cd4481 | [
"MIT"
] | null | null | null | engine/vector.py | dbrizov/PyTetris | f783526a37944452607d86c5def28dbaf3cd4481 | [
"MIT"
] | null | null | null | import math
Vector2.ZERO = Vector2(0, 0)
| 22.708333 | 72 | 0.590826 |
64286b89fc025e5e539006ca29420f5163f9fba7 | 19,894 | py | Python | cytomine-applications/landmark_model_builder/validation.py | Cytomine-ULiege/Cytomine-python-datamining | 16db995f175e8972b8731a8df9391625e1920288 | [
"Apache-2.0"
] | null | null | null | cytomine-applications/landmark_model_builder/validation.py | Cytomine-ULiege/Cytomine-python-datamining | 16db995f175e8972b8731a8df9391625e1920288 | [
"Apache-2.0"
] | null | null | null | cytomine-applications/landmark_model_builder/validation.py | Cytomine-ULiege/Cytomine-python-datamining | 16db995f175e8972b8731a8df9391625e1920288 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# * Copyright (c) 2009-2015. Authors: see NOTICE file.
# *
# * 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... | 38.111111 | 120 | 0.595255 |
642b0395e141004aacfb61ba31176a5747e34b7b | 8,235 | py | Python | simulador de credito 1.py | Argenta47/talleres_de_algoritmos | cfca1984c69702d48fb165070eb0c60b16977e51 | [
"MIT"
] | null | null | null | simulador de credito 1.py | Argenta47/talleres_de_algoritmos | cfca1984c69702d48fb165070eb0c60b16977e51 | [
"MIT"
] | null | null | null | simulador de credito 1.py | Argenta47/talleres_de_algoritmos | cfca1984c69702d48fb165070eb0c60b16977e51 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Simulador de credito
- Monto del prestamo del carro
- Ingresa tu cuota inicial
- Ingresos mensuales
- Numero de meses del prestamo
- Datos personales
----------------------------------------
Ingresos mensuales
- 908.526 - 1.000.000 >>>>>>>>>>>>>> 20.000.000
- 1.000.000 -... | 37.60274 | 155 | 0.609107 |
642bbc4b4f8e24532cb2b27107b10dda9e845b52 | 1,527 | py | Python | py/g1/operations/databases/subscribers/g1/operations/databases/subscribers/parts.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | 3 | 2016-01-04T06:28:52.000Z | 2020-09-20T13:18:40.000Z | py/g1/operations/databases/subscribers/g1/operations/databases/subscribers/parts.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | py/g1/operations/databases/subscribers/g1/operations/databases/subscribers/parts.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | import g1.asyncs.agents.parts
import g1.messaging.parts.subscribers
from g1.apps import parameters
from g1.apps import utils
from g1.asyncs.bases import queues
from g1.bases import labels
# For now these are just aliases.
from g1.messaging.parts.subscribers import make_subscriber_params
from .. import subscribers # p... | 26.789474 | 77 | 0.703995 |
642d1130e6fc3e78e4f3c772b4be2992b13429c7 | 9,247 | py | Python | mhd/python/plot_over_time_CVS_smart.py | FinMacDov/AMR_code | 36e25fab72cd86cdda25e4e70ea3afd584b7dbfd | [
"MIT"
] | null | null | null | mhd/python/plot_over_time_CVS_smart.py | FinMacDov/AMR_code | 36e25fab72cd86cdda25e4e70ea3afd584b7dbfd | [
"MIT"
] | 1 | 2018-08-14T12:29:07.000Z | 2018-08-14T12:29:07.000Z | mhd/python/plot_over_time_CVS_smart.py | FinMacDov/AMR_code | 36e25fab72cd86cdda25e4e70ea3afd584b7dbfd | [
"MIT"
] | null | null | null | import csv
import matplotlib.pyplot as plt
from matplotlib import interactive
from matplotlib import rcParams, cycler
from scipy.interpolate import interp1d
from matplotlib.colors import BoundaryNorm
from matplotlib.ticker import MaxNLocator
import img2vid as i2v
import glob
import numpy as np
import os
"""
Created on... | 32.332168 | 122 | 0.627339 |
642d2bd6b0ba6f29debf7f63d005d6f4745e8609 | 2,349 | py | Python | python_tools/power.py | HowieWang1/myown-tools | 6ad1fba6d97300c6d15c26d89d5a0c1dc5f9d79d | [
"MIT"
] | 2 | 2021-06-13T13:15:25.000Z | 2021-07-29T00:26:38.000Z | python_tools/power.py | HowieWang1/myown-tools | 6ad1fba6d97300c6d15c26d89d5a0c1dc5f9d79d | [
"MIT"
] | 6 | 2021-06-04T08:05:03.000Z | 2021-07-04T03:50:00.000Z | python_tools/power.py | HowieWang1/myown-tools | 6ad1fba6d97300c6d15c26d89d5a0c1dc5f9d79d | [
"MIT"
] | null | null | null | import os
import tkinter as tk
from telnetlib import Telnet
import ctp.pdu.apc as apc
if __name__ == '__main__':
easyCommand = PDUPower()
easyCommand.PowerControl()
| 39.813559 | 121 | 0.573436 |
642d2e7d44ed6fcd127074d651ed9e62d6aa3d5f | 450 | py | Python | 33-inheritance.py | MKen212/pymosh | 6db31f181081baf3e4cc3d7228a3480b16bd3cda | [
"MIT"
] | null | null | null | 33-inheritance.py | MKen212/pymosh | 6db31f181081baf3e4cc3d7228a3480b16bd3cda | [
"MIT"
] | null | null | null | 33-inheritance.py | MKen212/pymosh | 6db31f181081baf3e4cc3d7228a3480b16bd3cda | [
"MIT"
] | null | null | null |
# class Dog:
# def walk(self):
# print("Walking")
# class Cat:
# def walk(self):
# print("Walking")
rover = Dog()
print(rover.x)
rover.bark()
fluffy = Cat()
fluffy.walk()
| 13.636364 | 85 | 0.575556 |
643115619018886865b6c08a6d8862db0370f968 | 103 | py | Python | pluribus/poker/evaluation/__init__.py | keithlee96/pluribus-poker-AI | 15e52fe73dd09570e782dd0e7b9069865eb5823d | [
"MIT"
] | 113 | 2020-08-06T15:03:18.000Z | 2022-03-31T01:56:34.000Z | poker_ai/poker/evaluation/__init__.py | fedden/pluribus | 73fb394b26623c897459ffa3e66d7a5cb47e9962 | [
"MIT"
] | null | null | null | poker_ai/poker/evaluation/__init__.py | fedden/pluribus | 73fb394b26623c897459ffa3e66d7a5cb47e9962 | [
"MIT"
] | 42 | 2020-08-17T15:51:30.000Z | 2022-03-31T17:10:44.000Z | from .eval_card import EvaluationCard
from .evaluator import Evaluator
from .lookup import LookupTable
| 25.75 | 37 | 0.854369 |
643158e261dedfd6f790d1bd79a39f44e68fc5d7 | 844 | py | Python | dynamicgem/graph_generation/getAS_nx.py | Sujit-O/dyngem | a879bf362d1e9409faa4e1186c345337ad6d0189 | [
"MIT"
] | null | null | null | dynamicgem/graph_generation/getAS_nx.py | Sujit-O/dyngem | a879bf362d1e9409faa4e1186c345337ad6d0189 | [
"MIT"
] | null | null | null | dynamicgem/graph_generation/getAS_nx.py | Sujit-O/dyngem | a879bf362d1e9409faa4e1186c345337ad6d0189 | [
"MIT"
] | null | null | null | import networkx as nx
import numpy as np
import os
DATA_DIR = 'as-733'
fnames = sorted(os.listdir(DATA_DIR))
routersD = {}
routerId = 0
file_sno = 1
for curr_file in fnames:
with open(DATA_DIR+ '/' + curr_file) as f:
G = nx.DiGraph()
G.add_nodes_from(range(7716))
for line in f:
line = line.stri... | 24.823529 | 66 | 0.626777 |
6431a7d544c46cfb92483bf64ab03075de332a4d | 2,477 | py | Python | virtool/validators.py | ReeceHoffmann/virtool | f9befad060fe16fa29fb80124e674ac5a9c4f538 | [
"MIT"
] | 39 | 2016-10-31T23:28:59.000Z | 2022-01-15T00:00:42.000Z | virtool/validators.py | ReeceHoffmann/virtool | f9befad060fe16fa29fb80124e674ac5a9c4f538 | [
"MIT"
] | 1,690 | 2017-02-07T23:39:48.000Z | 2022-03-31T22:30:44.000Z | virtool/validators.py | ReeceHoffmann/virtool | f9befad060fe16fa29fb80124e674ac5a9c4f538 | [
"MIT"
] | 25 | 2017-02-08T18:25:31.000Z | 2021-09-20T22:55:25.000Z | import re
from email_validator import validate_email, EmailSyntaxError
from virtool.users.utils import PERMISSIONS
RE_HEX_COLOR = re.compile("^#([A-Fa-f0-9]{6}|[A-Fa-f0-9]{3})$")
def strip(value: str) -> str:
"""
Strip flanking whitespace from the passed string. Used to coerce values in Cerberus validators... | 32.168831 | 113 | 0.705289 |
643356b0b42e24450c9db6f057bc342c9400746c | 116 | py | Python | guildwars2/guild/__init__.py | n1tr0-5urf3r/GW2Bot | 788e94926766ac16661211cb528be47629b0ad07 | [
"MIT"
] | 75 | 2017-05-06T18:53:34.000Z | 2022-01-10T08:02:48.000Z | guildwars2/guild/__init__.py | n1tr0-5urf3r/GW2Bot | 788e94926766ac16661211cb528be47629b0ad07 | [
"MIT"
] | 81 | 2017-05-07T18:04:06.000Z | 2021-12-13T13:34:45.000Z | guildwars2/guild/__init__.py | n1tr0-5urf3r/GW2Bot | 788e94926766ac16661211cb528be47629b0ad07 | [
"MIT"
] | 56 | 2017-05-07T06:58:29.000Z | 2022-03-28T23:23:42.000Z | from .general import GeneralGuild
from .sync import GuildSync
| 16.571429 | 42 | 0.793103 |
6434145fe0d9785478a829e3cad733f76a24c2f5 | 4,780 | py | Python | noisyopt/tests/test_noisyopt.py | 42Numeric/noisyopt | 0574f3e031f4f08a398f905ccf056e92a4982788 | [
"MIT"
] | null | null | null | noisyopt/tests/test_noisyopt.py | 42Numeric/noisyopt | 0574f3e031f4f08a398f905ccf056e92a4982788 | [
"MIT"
] | null | null | null | noisyopt/tests/test_noisyopt.py | 42Numeric/noisyopt | 0574f3e031f4f08a398f905ccf056e92a4982788 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.testing as npt
import noisyopt
if __name__ == '__main__':
npt.run_module_suite()
| 37.34375 | 83 | 0.624477 |
6435690f9d571d32e57eed857a4c0b70172bd30d | 318 | py | Python | spielberg/admin.py | carlmjohnson/spielberg | 438dcc869e8dddb4fb3efc1d3f3816cdcf8529df | [
"MIT"
] | null | null | null | spielberg/admin.py | carlmjohnson/spielberg | 438dcc869e8dddb4fb3efc1d3f3816cdcf8529df | [
"MIT"
] | null | null | null | spielberg/admin.py | carlmjohnson/spielberg | 438dcc869e8dddb4fb3efc1d3f3816cdcf8529df | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import SimpleRedirect
| 19.875 | 44 | 0.650943 |
6436ac8ba5b8954f205ea6a742afb28c7e206a5a | 799 | py | Python | oo/pessoa.py | thaila52/pythonbirds | 55101aaf319361dae7f3d927c3a8d2777b0f8a8b | [
"MIT"
] | null | null | null | oo/pessoa.py | thaila52/pythonbirds | 55101aaf319361dae7f3d927c3a8d2777b0f8a8b | [
"MIT"
] | null | null | null | oo/pessoa.py | thaila52/pythonbirds | 55101aaf319361dae7f3d927c3a8d2777b0f8a8b | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
thaila = Pessoa(nome='Thaila')
junior = Pessoa(thaila, nome='Junior')
print(Pessoa.cumprimentar(junior))
print(id(junior))
print(junior.cumprimentar())
print(junior.nome)
print(junior.idade)
for filho in junior.filhos:
print(filho.nome)
junior.sobr... | 25.774194 | 63 | 0.638298 |
6437ba4c34e60695d6c3884bb0f45f29bc524188 | 2,286 | py | Python | tools/pytest/extra/get_issues.py | servo-wpt-sync/web-platform-tests | 56e2df852354bc2b89e6d17a9dbafd280d24203c | [
"BSD-3-Clause"
] | 4 | 2020-09-09T15:28:01.000Z | 2021-12-01T00:59:56.000Z | tools/pytest/extra/get_issues.py | 063095/web-platform-tests | 255d54144a82ce76d8e50a4aa8de284151119f8b | [
"BSD-3-Clause"
] | 1 | 2018-09-05T02:45:25.000Z | 2018-09-05T02:45:38.000Z | tools/pytest/extra/get_issues.py | 063095/web-platform-tests | 255d54144a82ce76d8e50a4aa8de284151119f8b | [
"BSD-3-Clause"
] | 1 | 2021-03-21T21:43:20.000Z | 2021-03-21T21:43:20.000Z | import json
import py
import textwrap
issues_url = "http://bitbucket.org/api/1.0/repositories/pytest-dev/pytest/issues"
import requests
kind2num = "bug enhancement task proposal".split()
status2num = "new open resolved duplicate invalid wontfix".split()
if __name__ == "__main__":
import argparse
parser = a... | 30.48 | 81 | 0.575678 |
6437dee025675578c882a4948fef3abdfcfa15bf | 1,214 | py | Python | tests/bdd/test_environment_loader.py | necromuralist/Machine-Learning-From-Scratch | 6a1fe6264948dbd361e426fea9c9ed4c567e7079 | [
"MIT"
] | null | null | null | tests/bdd/test_environment_loader.py | necromuralist/Machine-Learning-From-Scratch | 6a1fe6264948dbd361e426fea9c9ed4c567e7079 | [
"MIT"
] | null | null | null | tests/bdd/test_environment_loader.py | necromuralist/Machine-Learning-From-Scratch | 6a1fe6264948dbd361e426fea9c9ed4c567e7079 | [
"MIT"
] | null | null | null | # coding=utf-8
"""Environment Loader feature tests."""
# from pypi
from expects import (
be_true,
expect
)
from pytest_bdd import (
given,
scenarios,
then,
when,
)
# for testing
from .fixtures import katamari
# software under test
from cse_575.data.common import Environment
# Setup
scenarios... | 23.803922 | 85 | 0.728171 |
6438cc3d752def2341c27211310e7e6e164ba110 | 1,242 | py | Python | travel_blog/blog/models.py | kennethlove/travel_blog_livestream | a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2 | [
"MIT"
] | 2 | 2016-12-17T02:56:22.000Z | 2017-07-19T05:13:59.000Z | travel_blog/blog/models.py | kennethlove/travel_blog_livestream | a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2 | [
"MIT"
] | null | null | null | travel_blog/blog/models.py | kennethlove/travel_blog_livestream | a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2 | [
"MIT"
] | 1 | 2018-12-19T06:34:37.000Z | 2018-12-19T06:34:37.000Z | from django.contrib.gis.db import models
from django.core.urlresolvers import reverse
from django.utils import timezone
import markdown
| 28.883721 | 65 | 0.694042 |
64397ff100127d4d36ea57304ccc643da9e22b51 | 5,723 | py | Python | pycaishen/user_programs/PycaishenBasicUsage/tickers_and_fields.py | spyamine/pycaishen3 | 33f756fd0ad2bd05eb0d21fd4e7e8573e317a6a9 | [
"Apache-2.0"
] | 1 | 2019-06-17T10:17:30.000Z | 2019-06-17T10:17:30.000Z | pycaishen/user_programs/PycaishenBasicUsage/tickers_and_fields.py | spyamine/pycaishen3 | 33f756fd0ad2bd05eb0d21fd4e7e8573e317a6a9 | [
"Apache-2.0"
] | null | null | null | pycaishen/user_programs/PycaishenBasicUsage/tickers_and_fields.py | spyamine/pycaishen3 | 33f756fd0ad2bd05eb0d21fd4e7e8573e317a6a9 | [
"Apache-2.0"
] | null | null | null | import pandas
from pycaishen.util.loggermanager import LoggerManager
if __name__ == '__main__':
from pycaishen.util.settings import configurer as setting
root = setting.ROOT_FOLDER
current_folder = root + "reference/"
print(current_folder)
ticker = Tickers()
# datasource_ticker=["ADH MC ... | 30.935135 | 105 | 0.616984 |
643a1eeb03835780f3eb1f23a8745fefb60702f4 | 477 | py | Python | Lectures/PythonClass/P15_python_wordcloud.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | 2 | 2020-12-05T07:42:55.000Z | 2021-01-06T23:23:18.000Z | Lectures/PythonClass/P15_python_wordcloud.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | Lectures/PythonClass/P15_python_wordcloud.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | from collections import Counter
from konlpy.tag import Hannanum
import pytagcloud
f = open('D:\\KYH\\02.PYTHON\\crawled_data\\cbs2.txt', 'r', encoding='UTF-8')
data = f.read()
nlp = Hannanum()
nouns = nlp.nouns(data)
count = Counter(nouns)
tags2 = count.most_common(200)
taglist = pytagcloud.make_tags(tags2, maxsize=... | 29.8125 | 142 | 0.740042 |
643efcc62ffee5b784b925d11c6e4e3f66d82564 | 2,613 | py | Python | scripts/pi_scripts/runner.py | No-SF-Work/ayame | 6fb79b9897e75fdcf2a81083d462224226a0e4fa | [
"WTFPL"
] | 46 | 2021-08-19T11:24:32.000Z | 2022-02-04T13:17:29.000Z | scripts/pi_scripts/runner.py | GeneraluseAI/ayame | 6fb79b9897e75fdcf2a81083d462224226a0e4fa | [
"WTFPL"
] | null | null | null | scripts/pi_scripts/runner.py | GeneraluseAI/ayame | 6fb79b9897e75fdcf2a81083d462224226a0e4fa | [
"WTFPL"
] | 3 | 2021-09-20T01:44:10.000Z | 2022-01-14T04:19:00.000Z | import os
import subprocess
from pretty_print import Print_C
| 37.328571 | 117 | 0.615385 |
644138068d0aa242e34e9494e5392a407d2e6756 | 4,694 | py | Python | src/fognode/app.py | hehaichi/dist-fog-c | 1d09134c4059718d3f67021f574a85e51754ed8b | [
"MIT"
] | null | null | null | src/fognode/app.py | hehaichi/dist-fog-c | 1d09134c4059718d3f67021f574a85e51754ed8b | [
"MIT"
] | null | null | null | src/fognode/app.py | hehaichi/dist-fog-c | 1d09134c4059718d3f67021f574a85e51754ed8b | [
"MIT"
] | null | null | null | from flask import Flask
from flask import request
app = Flask(__name__)
# Imports
import psutil
from flask import jsonify
import redis
import json
from os import urandom
import hashlib
import docker
from docker import APIClient
import requests
import zipfile
from celery import Celery
from celery.utils.log import get_t... | 28.621951 | 110 | 0.659139 |
6441c2d5103ee3c27b662443bb780f5d7c5a8064 | 132 | py | Python | ppgr/__init__.py | PolarPayne/ppgr | a3ce482999bbd0c71042f18880553ebba60074c5 | [
"MIT"
] | null | null | null | ppgr/__init__.py | PolarPayne/ppgr | a3ce482999bbd0c71042f18880553ebba60074c5 | [
"MIT"
] | null | null | null | ppgr/__init__.py | PolarPayne/ppgr | a3ce482999bbd0c71042f18880553ebba60074c5 | [
"MIT"
] | null | null | null | from .terminal import write, no_cursor
from .screen import Screen
__all__ = ["write", "no_cursor", "Screen"]
__version__ = "0.5.0"
| 22 | 42 | 0.719697 |
64428d8d713a83be8c76fc25d74c248dd372769d | 13,566 | py | Python | tarot_deck.py | Soren98/tarot | 648f543034ef0e660b2f7f1f876052398286d227 | [
"Unlicense"
] | null | null | null | tarot_deck.py | Soren98/tarot | 648f543034ef0e660b2f7f1f876052398286d227 | [
"Unlicense"
] | null | null | null | tarot_deck.py | Soren98/tarot | 648f543034ef0e660b2f7f1f876052398286d227 | [
"Unlicense"
] | null | null | null | import json
from copy import deepcopy
from random import shuffle
cards = ['magician', 'high priestess', 'empress', 'emperor', 'hierophant', 'lovers', 'chariot', 'justice', 'hermit',
'wheel of fortune', 'strength', 'hanged man', 'death', 'temperance', 'devil', 'tower', 'star', 'moon', 'sun',
'judgem... | 65.221154 | 120 | 0.618605 |
644292c4d61839088d132ddd059480c729616e9c | 2,604 | py | Python | RL.py | apurva-rai/Reinforcement_Learning | 9b979b9dd1f63cb966be3230f1aab494d0d477cb | [
"MIT"
] | null | null | null | RL.py | apurva-rai/Reinforcement_Learning | 9b979b9dd1f63cb966be3230f1aab494d0d477cb | [
"MIT"
] | null | null | null | RL.py | apurva-rai/Reinforcement_Learning | 9b979b9dd1f63cb966be3230f1aab494d0d477cb | [
"MIT"
] | null | null | null | import numpy as np
#SARSA class that has function to train and test simple treasure finding path
#Q-Learning class that has functions to train and test simple treasure finding path
| 27.702128 | 136 | 0.519585 |
6442d0f58b9da08f14b0b72fb7a653476fb790c0 | 15,068 | py | Python | pyfda/libs/pyfda_fft_windows_lib.py | cedricboudinet/pyFDA | fd75970486d931c2b58e03683f2617eefb75d1d3 | [
"MIT"
] | null | null | null | pyfda/libs/pyfda_fft_windows_lib.py | cedricboudinet/pyFDA | fd75970486d931c2b58e03683f2617eefb75d1d3 | [
"MIT"
] | null | null | null | pyfda/libs/pyfda_fft_windows_lib.py | cedricboudinet/pyFDA | fd75970486d931c2b58e03683f2617eefb75d1d3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of the pyFDA project hosted at https://github.com/chipmuenk/pyfda
#
# Copyright pyFDA Project Contributors
# Licensed under the terms of the MIT License
# (see file LICENSE in root directory for details)
"""
Store the available fft windows and their properties
"""
import ... | 37.29703 | 140 | 0.554685 |
6442f3e788a9a60ebaf60333e7bbf4b6be2a9475 | 30,541 | py | Python | src/data/argoverse/dataset.py | ybarancan/STSU | 0b9efa88739c517a7ca00e61faefa4b45714d312 | [
"Apache-2.0"
] | 67 | 2021-10-06T13:48:44.000Z | 2022-03-31T04:00:20.000Z | src/data/argoverse/dataset.py | w23215/STSU | 0b9efa88739c517a7ca00e61faefa4b45714d312 | [
"Apache-2.0"
] | 6 | 2021-11-03T08:37:31.000Z | 2022-03-19T10:13:10.000Z | src/data/argoverse/dataset.py | w23215/STSU | 0b9efa88739c517a7ca00e61faefa4b45714d312 | [
"Apache-2.0"
] | 10 | 2021-12-08T10:54:45.000Z | 2022-03-22T06:44:14.000Z | import os
from PIL import Image
import torch
from torch.utils.data import Dataset
from torchvision.transforms.functional import to_tensor
from src.utils import bezier
from .utils import IMAGE_WIDTH, IMAGE_HEIGHT, ARGOVERSE_CLASS_NAMES
from ..utils import decode_binary_labels
import numpy as np
import logging
import s... | 39.104994 | 240 | 0.500638 |
ff235d7055fe081642d3b159d6f17203a8645409 | 3,782 | py | Python | src/textcode/markup.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | 3 | 2015-07-01T15:08:33.000Z | 2015-11-05T03:15:36.000Z | src/textcode/markup.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/textcode/markup.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2015 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB ... | 36.718447 | 82 | 0.702538 |
ff23e35f84a4695ae6e12845521a5ceb13bc1d71 | 7,689 | py | Python | novajoin_tempest_plugin/ipa/ipa_client.py | vakwetu/novajoin_tempest_plugin | cde1888238fdd4f10b9d593e5f94da3ad9522d23 | [
"Apache-2.0"
] | null | null | null | novajoin_tempest_plugin/ipa/ipa_client.py | vakwetu/novajoin_tempest_plugin | cde1888238fdd4f10b9d593e5f94da3ad9522d23 | [
"Apache-2.0"
] | null | null | null | novajoin_tempest_plugin/ipa/ipa_client.py | vakwetu/novajoin_tempest_plugin | cde1888238fdd4f10b9d593e5f94da3ad9522d23 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Red Hat
# 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 appli... | 35.43318 | 78 | 0.588503 |
ff244389ab03819a221d71c11f19a99f1ecbe7db | 4,085 | py | Python | old/ctest.py | ostapstephan/SeniorProject | f0d3f8067dec98474641c6ec3696dbd86f066a51 | [
"MIT"
] | 1 | 2018-10-03T00:30:34.000Z | 2018-10-03T00:30:34.000Z | old/ctest.py | ostapstephan/SeniorProject | f0d3f8067dec98474641c6ec3696dbd86f066a51 | [
"MIT"
] | null | null | null | old/ctest.py | ostapstephan/SeniorProject | f0d3f8067dec98474641c6ec3696dbd86f066a51 | [
"MIT"
] | null | null | null | # import lib.pbcvt as pbcvt
import cv2
import numpy as np
import sys
from time import time
cv2.namedWindow("preview")
cv2.namedWindow("preview2")
cv2.namedWindow("preview3")
vc = cv2.VideoCapture(int(sys.argv[1]))
vc.set(3,int(sys.argv[2]))
vc.set(4,int(sys.argv[3]))
print(vc.get(3))
print(vc.get(4))
# vout = None
# ... | 33.483607 | 118 | 0.60563 |
ff24c50a953f9de8e5c507018c8a393f88c6968a | 3,394 | py | Python | src/library/blas/AutoGemm/KernelsToPreCompile.py | tingxingdong/clean | 9cdaed4c755b825b0c10a99f9974224993aa39a9 | [
"Apache-2.0"
] | 1 | 2021-07-07T11:28:56.000Z | 2021-07-07T11:28:56.000Z | src/library/blas/AutoGemm/KernelsToPreCompile.py | tingxingdong/clean | 9cdaed4c755b825b0c10a99f9974224993aa39a9 | [
"Apache-2.0"
] | null | null | null | src/library/blas/AutoGemm/KernelsToPreCompile.py | tingxingdong/clean | 9cdaed4c755b825b0c10a99f9974224993aa39a9 | [
"Apache-2.0"
] | null | null | null | import os
import argparse
import AutoGemmParameters
import Common
################################################################################
# Auto-Gemm
################################################################################
############################################################################... | 36.891304 | 130 | 0.570418 |
ff2566df6543c6c812f059453757e928f1cb03ba | 604 | py | Python | scrap/main.py | talesconrado/SpotPer | 682d1f087337980ce7126b8dc5877f4a2a1aad83 | [
"MIT"
] | 1 | 2021-04-13T01:28:49.000Z | 2021-04-13T01:28:49.000Z | scrap/main.py | talesconrado/SpotPer | 682d1f087337980ce7126b8dc5877f4a2a1aad83 | [
"MIT"
] | null | null | null | scrap/main.py | talesconrado/SpotPer | 682d1f087337980ce7126b8dc5877f4a2a1aad83 | [
"MIT"
] | null | null | null | import musics
import sys
main()
| 28.761905 | 79 | 0.682119 |
ff26356a8a3d9408da1d439502b5bdb9bed76c96 | 8,285 | py | Python | cct/core2/config.py | awacha/cct | be1adbed2533df15c778051f3f4f9da0749c873a | [
"BSD-3-Clause"
] | 1 | 2015-11-04T16:37:39.000Z | 2015-11-04T16:37:39.000Z | cct/core2/config.py | awacha/cct | be1adbed2533df15c778051f3f4f9da0749c873a | [
"BSD-3-Clause"
] | null | null | null | cct/core2/config.py | awacha/cct | be1adbed2533df15c778051f3f4f9da0749c873a | [
"BSD-3-Clause"
] | 1 | 2020-03-05T02:50:43.000Z | 2020-03-05T02:50:43.000Z | import logging
import os
import pathlib
import pickle
from typing import Dict, Any, Union, Tuple, KeysView, ValuesView, ItemsView, Optional
from PyQt5 import QtCore
PathLike = Union[os.PathLike, str, pathlib.Path]
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
| 35.711207 | 117 | 0.569584 |
ff27a929c9309575aaca50c911b92ee2c9b0e9b2 | 844 | py | Python | bench-scripts/bench_strawman_jl_varying_num_dim.py | holmes-anonymous-submission/holmes-library | 35d01400c6694681ed61b2b3e1f6c7eb6b660e90 | [
"MIT"
] | null | null | null | bench-scripts/bench_strawman_jl_varying_num_dim.py | holmes-anonymous-submission/holmes-library | 35d01400c6694681ed61b2b3e1f6c7eb6b660e90 | [
"MIT"
] | null | null | null | bench-scripts/bench_strawman_jl_varying_num_dim.py | holmes-anonymous-submission/holmes-library | 35d01400c6694681ed61b2b3e1f6c7eb6b660e90 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from common import *
configure_network()
subprocess.run(["cmake", "."])
subprocess.run(["make"])
print("running the bench_strawman_jl_varying_num_dim")
k = 41
# 41 for 100(k), 44 for 200(k)
num_records = 100
size_of_each_dimension = 10
print("running the case for " + str(num_records) + " entrie... | 40.190476 | 160 | 0.694313 |
ff2a2e9042dfa861f9dd3f86cd1a00194ad688f3 | 5,184 | py | Python | python/iperf_mar1.py | ttlequals0/misc | 95ce083312bc241b196afcf675f93480ca6866b0 | [
"MIT"
] | null | null | null | python/iperf_mar1.py | ttlequals0/misc | 95ce083312bc241b196afcf675f93480ca6866b0 | [
"MIT"
] | null | null | null | python/iperf_mar1.py | ttlequals0/misc | 95ce083312bc241b196afcf675f93480ca6866b0 | [
"MIT"
] | null | null | null | #!/usr/local/apps/networking/bin/python2.7
# script will test all server clinet pairs with iperf
### this is the prd script
# pmw 2/18/16
import os
import re
import sys
import datetime
#from subprocess import Popen, PIP
import subprocess
import logging
from pprint import pprint
import argparse
import socket
import Queu... | 29.622857 | 104 | 0.565586 |
ff2a3163d6bee3ccd183a8a62b54b56207c9096b | 1,142 | py | Python | Python/audio_to_text.py | udbhavdave/Major | e6e3f3ec27d5294661e9634496a8d5c9ebbf4c1a | [
"MIT"
] | 3 | 2020-12-13T12:21:10.000Z | 2021-12-17T10:03:58.000Z | Python/audio_to_text.py | udbhavdave/Major | e6e3f3ec27d5294661e9634496a8d5c9ebbf4c1a | [
"MIT"
] | null | null | null | Python/audio_to_text.py | udbhavdave/Major | e6e3f3ec27d5294661e9634496a8d5c9ebbf4c1a | [
"MIT"
] | null | null | null | # import speech_recognition as sr
# import sys
#
# # read filename from arguments
# filename = ("C:\\Users\\utkar\\Downloads\\crowd.mp3")
#
# # initialize the recognizer
# r = sr.Recognizer()
#
# # open the file
# with sr.AudioFile(filename) as source:
# # listen for the data (load audio to memory)
# audio_data... | 26.55814 | 65 | 0.722417 |
ff2cc3e4fa0010425f995d6994abc80dcad5bb40 | 92 | py | Python | codes_auto/1203.print-in-order.py | smartmark-pro/leetcode_record | 6504b733d892a705571eb4eac836fb10e94e56db | [
"MIT"
] | null | null | null | codes_auto/1203.print-in-order.py | smartmark-pro/leetcode_record | 6504b733d892a705571eb4eac836fb10e94e56db | [
"MIT"
] | null | null | null | codes_auto/1203.print-in-order.py | smartmark-pro/leetcode_record | 6504b733d892a705571eb4eac836fb10e94e56db | [
"MIT"
] | null | null | null | #
# @lc app=leetcode.cn id=1203 lang=python3
#
# [1203] print-in-order
#
None
# @lc code=end | 13.142857 | 42 | 0.663043 |
ff2f9459306ff0dcba3c3e1ea4e1631dc6e77890 | 1,777 | py | Python | Toolkits/Discovery/meta/searx/searx/engines/digbt.py | roscopecoltran/SniperKit-Core | 4600dffe1cddff438b948b6c22f586d052971e04 | [
"MIT"
] | 4 | 2018-09-07T15:35:24.000Z | 2019-03-27T09:48:12.000Z | Toolkits/Discovery/meta/searx/searx/engines/digbt.py | roscopecoltran/SniperKit-Core | 4600dffe1cddff438b948b6c22f586d052971e04 | [
"MIT"
] | 371 | 2020-03-04T21:51:56.000Z | 2022-03-31T20:59:11.000Z | searx/engines/digbt.py | xu1991/open | 5398dab4ba669b3ca87d9fe26eb24431c45f153e | [
"CC0-1.0"
] | 3 | 2019-06-18T19:57:17.000Z | 2020-11-06T03:55:08.000Z | """
DigBT (Videos, Music, Files)
@website https://digbt.org
@provide-api no
@using-api no
@results HTML (using search portal)
@stable no (HTML can change)
@parse url, title, content, magnetlink
"""
from sys import version_info
from lxml import html
from searx.engines.xpath import extract_... | 28.206349 | 90 | 0.591446 |
ff3079fc8a9e3d739eb7e1706631d0a9711499a3 | 7,769 | py | Python | calvin_models/calvin_agent/datasets/npz_dataset.py | nikepupu/calvin | 23ce311bb14a07d284b87589842f0a542ab0a6fa | [
"MIT"
] | null | null | null | calvin_models/calvin_agent/datasets/npz_dataset.py | nikepupu/calvin | 23ce311bb14a07d284b87589842f0a542ab0a6fa | [
"MIT"
] | null | null | null | calvin_models/calvin_agent/datasets/npz_dataset.py | nikepupu/calvin | 23ce311bb14a07d284b87589842f0a542ab0a6fa | [
"MIT"
] | null | null | null | import logging
import os
from pathlib import Path
import re
from typing import Dict, List, Optional, Tuple
from calvin_agent.datasets.base_dataset import BaseDataset
from calvin_agent.datasets.utils.episode_utils import (
get_state_info_dict,
process_actions,
process_depth,
process_rgb,
process_sta... | 41.324468 | 118 | 0.644098 |
ff34739569bdf334a928ceaa661e604b98814f9f | 7,537 | py | Python | Recommender system/web_scraper.py | ab5163/STEM-Away | a1f3fbe34c88d1c255075796c542493444544d36 | [
"MIT"
] | null | null | null | Recommender system/web_scraper.py | ab5163/STEM-Away | a1f3fbe34c88d1c255075796c542493444544d36 | [
"MIT"
] | null | null | null | Recommender system/web_scraper.py | ab5163/STEM-Away | a1f3fbe34c88d1c255075796c542493444544d36 | [
"MIT"
] | null | null | null | import urllib
import json
import requests
from bs4 import BeautifulSoup
import pandas as pd
import re
import string
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk.stem.porter import PorterStemmer
dflist = []
for i in range(23):
df = getpage(i)
dflist.append(df... | 40.961957 | 122 | 0.580337 |
ff34d2054883cf24cbc01749ebf6d106ab82c808 | 1,778 | py | Python | NeuralNetworks/Layers/dense.py | hiandersson/deep-dream-networks | e6b3d527a723cd67fc6863f838a57096563466fa | [
"MIT"
] | 1 | 2022-01-01T12:11:04.000Z | 2022-01-01T12:11:04.000Z | NeuralNetworks/Layers/dense.py | hiandersson/deep-dream-networks | e6b3d527a723cd67fc6863f838a57096563466fa | [
"MIT"
] | null | null | null | NeuralNetworks/Layers/dense.py | hiandersson/deep-dream-networks | e6b3d527a723cd67fc6863f838a57096563466fa | [
"MIT"
] | null | null | null | import numpy
from NeuralNetworks.Layers.activations import lambda_from_function
| 33.54717 | 147 | 0.674916 |
ff35be0655f2594bf8b249c16444cb716e81aff8 | 2,068 | py | Python | src/static/widget/autocomplete/js/minify.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | 78 | 2017-05-26T08:38:25.000Z | 2022-02-25T08:55:31.000Z | src/static/widget/autocomplete/js/minify.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | 105 | 2017-05-18T21:57:13.000Z | 2022-03-18T21:41:47.000Z | src/static/widget/autocomplete/js/minify.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | 19 | 2017-06-12T18:31:54.000Z | 2021-11-10T00:04:43.000Z | #!/usr/bin/python
import sys
if sys.version > '3':
PY3 = True
else:
PY3 = False
if PY3:
import http.client, urllib.request, urllib.parse, urllib.error, sys, json,pprint, os.path
else:
import httplib, urllib, sys, json,pprint, os.path
infile = sys.argv[1] if len(sys.argv)>1 else 'mygene_query.js'
outfil... | 31.333333 | 93 | 0.576886 |
ff3706c2486945d76ad59f2792a976df3fa7f5b3 | 464 | py | Python | multimenus/migrations/0006_auto_20200715_1100.py | arck1/djangocms-multimenus | 45accefcb280b96373121331f3294ffffe3e36af | [
"MIT"
] | null | null | null | multimenus/migrations/0006_auto_20200715_1100.py | arck1/djangocms-multimenus | 45accefcb280b96373121331f3294ffffe3e36af | [
"MIT"
] | null | null | null | multimenus/migrations/0006_auto_20200715_1100.py | arck1/djangocms-multimenus | 45accefcb280b96373121331f3294ffffe3e36af | [
"MIT"
] | null | null | null | # Generated by Django 2.1.15 on 2020-07-15 11:00
from django.db import migrations, models
| 24.421053 | 125 | 0.625 |
ff390f1c78c4b2350ac89e8b55df3651f99bb7d5 | 36 | py | Python | vnpy/gateway/sec/__init__.py | funrunskypalace/vnpy | 2d87aede685fa46278d8d3392432cc127b797926 | [
"MIT"
] | 19,529 | 2015-03-02T12:17:35.000Z | 2022-03-31T17:18:27.000Z | vnpy/gateway/sec/__init__.py | funrunskypalace/vnpy | 2d87aede685fa46278d8d3392432cc127b797926 | [
"MIT"
] | 2,186 | 2015-03-04T23:16:33.000Z | 2022-03-31T03:44:01.000Z | vnpy/gateway/sec/__init__.py | funrunskypalace/vnpy | 2d87aede685fa46278d8d3392432cc127b797926 | [
"MIT"
] | 8,276 | 2015-03-02T05:21:04.000Z | 2022-03-31T13:13:13.000Z | from .sec_gateway import SecGateway
| 18 | 35 | 0.861111 |
ff3972f77730df133aea4a5e788e02702aea2856 | 2,449 | py | Python | Vertical Order Traversal of a Binary Tree.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Vertical Order Traversal of a Binary Tree.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Vertical Order Traversal of a Binary Tree.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | '''
Given a binary tree, return the vertical order traversal of its nodes values.
For each node at position (X, Y), its left and right children respectively will be at positions (X-1, Y-1) and (X+1, Y-1).
Running a vertical line from X = -infinity to X = +infinity, whenever the vertical line touches some nodes, we re... | 31 | 197 | 0.597387 |
ff39d54b3433a471a6702b5c30caf7429b0f87ae | 2,404 | py | Python | scripts/distribution.py | Qi-max/amlearn | 88189519bc1079ab5085d5871169c223e0d03057 | [
"BSD-3-Clause-LBNL"
] | 12 | 2019-02-07T16:45:29.000Z | 2021-03-15T12:44:07.000Z | scripts/distribution.py | Qi-max/amlearn | 88189519bc1079ab5085d5871169c223e0d03057 | [
"BSD-3-Clause-LBNL"
] | 2 | 2018-11-22T04:59:10.000Z | 2019-12-05T14:22:29.000Z | scripts/distribution.py | Qi-max/amlearn | 88189519bc1079ab5085d5871169c223e0d03057 | [
"BSD-3-Clause-LBNL"
] | 5 | 2020-12-03T07:18:50.000Z | 2022-01-20T09:17:47.000Z | import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
__author__ = "Qi Wang"
__email__ = "qiwang.mse@gmail.com"
if __name__ == "__main__":
system = ["Cu65Zr35", "qr_5plus10^10"]
prediction_file = "xx"
output_path = "xxx"
output_file_header = r'{}_{}_QS'.format(*system)
... | 38.15873 | 123 | 0.61772 |
ff3ba356b3b950b1ffa30b4e137a88a175b8f034 | 1,700 | py | Python | mauna_loa.py | ellisbrown/BNN-Uncertainty | 71271c2a9387baf57a1007303b989e71f85e2abe | [
"MIT"
] | null | null | null | mauna_loa.py | ellisbrown/BNN-Uncertainty | 71271c2a9387baf57a1007303b989e71f85e2abe | [
"MIT"
] | null | null | null | mauna_loa.py | ellisbrown/BNN-Uncertainty | 71271c2a9387baf57a1007303b989e71f85e2abe | [
"MIT"
] | null | null | null |
import tensorflow as tf
import matplotlib.pyplot as plt
import argparse
from keras.models import load_model
from data import load_from_H5
from bnn import bnn
from viz import plot_predictions
parser = argparse.ArgumentParser(description='Mauna Loa runner')
parser.add_argument('--trained_model', default='models/mauna_... | 27.419355 | 103 | 0.724118 |
ff3c1fbbadea09a6b0eb293f80eec2bc2157f2ee | 692 | py | Python | guest/models.py | TylerBackman/chemminetools | 1896c2dd7362f44193528aef028390543a125921 | [
"BSD-4-Clause-UC"
] | 16 | 2015-03-24T18:34:18.000Z | 2018-04-11T06:02:52.000Z | guest/models.py | zagrosman/chemminetools | 1896c2dd7362f44193528aef028390543a125921 | [
"BSD-4-Clause-UC"
] | 60 | 2019-01-03T18:15:55.000Z | 2022-03-12T00:14:59.000Z | guest/models.py | zagrosman/chemminetools | 1896c2dd7362f44193528aef028390543a125921 | [
"BSD-4-Clause-UC"
] | 13 | 2018-04-25T18:25:09.000Z | 2022-02-14T08:15:03.000Z | import datetime
from django.db import models
from django.contrib.auth.models import User
from django.contrib.sessions.models import Session
| 24.714286 | 69 | 0.693642 |
ff3d3ed279a1850ba4785d212475832f6102bcfe | 288 | py | Python | test/unit/metrics/utils.py | alliesaizan/fairlearn | 846ce6cdaf188e32a545d3f90197515a4a5bc471 | [
"MIT"
] | 1,142 | 2019-10-14T18:05:46.000Z | 2022-03-30T06:56:54.000Z | test/unit/metrics/utils.py | alliesaizan/fairlearn | 846ce6cdaf188e32a545d3f90197515a4a5bc471 | [
"MIT"
] | 623 | 2019-10-14T17:11:25.000Z | 2022-03-31T17:46:54.000Z | test/unit/metrics/utils.py | alliesaizan/fairlearn | 846ce6cdaf188e32a545d3f90197515a4a5bc471 | [
"MIT"
] | 299 | 2019-10-15T00:09:53.000Z | 2022-03-30T12:35:27.000Z | # Copyright (c) Microsoft Corporation and Fairlearn contributors.
# Licensed under the MIT License.
import fairlearn.metrics as metrics
| 28.8 | 65 | 0.802083 |
ff3d57b7a5ef287c60851d0bb59634ded80f741c | 1,584 | py | Python | day4/day4.py | areddish/aoc2020 | 9d609e8147e370e31ffe92e4170c5ca7c463186c | [
"MIT"
] | 1 | 2020-12-08T03:02:00.000Z | 2020-12-08T03:02:00.000Z | day4/day4.py | areddish/aoc2020 | 9d609e8147e370e31ffe92e4170c5ca7c463186c | [
"MIT"
] | null | null | null | day4/day4.py | areddish/aoc2020 | 9d609e8147e370e31ffe92e4170c5ca7c463186c | [
"MIT"
] | null | null | null |
validation = {
"hgt": check_hgt,
"hcl": check_hcl,
"pid": lambda x: len(x) == 9,
"byr": lambda x: check_range(x, 1920, 2002),
"iyr": lambda x: check_range(x, 2010, 2020),
"eyr": lambda x: check_range(x, 2020, 2030),
"ecl": lambda x: x in ["amb","blu","brn","gry", "grn", "hzl", "oth"],
"... | 27.310345 | 73 | 0.508207 |
ff3f7bfba4752a7df9e45892c6e150e45e34b651 | 29,763 | py | Python | core/dataflow/nodes/volatility_models.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/dataflow/nodes/volatility_models.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/dataflow/nodes/volatility_models.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | import collections
import datetime
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
import scipy as sp
import sklearn as sklear
import core.config as cconfig
import core.data_adapters as cdataa
import core.dataflow.utils as cdu
import core.fina... | 37.818297 | 84 | 0.606659 |
ff3fa16f112510d5cb03e41854b90f0444d90f6d | 3,228 | py | Python | tempgres/service.py | ClockworkConsulting/django-tempgres | ba9a061f5f61730784522f4b0f75a90c19826fa6 | [
"Apache-2.0"
] | null | null | null | tempgres/service.py | ClockworkConsulting/django-tempgres | ba9a061f5f61730784522f4b0f75a90c19826fa6 | [
"Apache-2.0"
] | null | null | null | tempgres/service.py | ClockworkConsulting/django-tempgres | ba9a061f5f61730784522f4b0f75a90c19826fa6 | [
"Apache-2.0"
] | null | null | null | import logging
import requests
logger = logging.getLogger(__name__)
# Main method for rudimentary testing
if __name__ == "__main__":
print("Test run of TempgresDatabaseService")
print("")
db_info = {
'USER': 'tempgres-client',
'PASSWORD': 'tempgres-cpass',
'HOST': 'localhost',
... | 28.315789 | 78 | 0.589839 |
ff4088986ff98e499e58a08879fd7b5b158a61fc | 893 | py | Python | marmot/features/google_translate_feature_extractor.py | qe-team/marmot | 38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff | [
"0BSD"
] | 19 | 2015-08-21T13:06:37.000Z | 2021-07-26T09:56:29.000Z | marmot/features/google_translate_feature_extractor.py | qe-team/marmot | 38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff | [
"0BSD"
] | 36 | 2015-01-13T13:01:07.000Z | 2016-06-22T06:59:59.000Z | marmot/features/google_translate_feature_extractor.py | qe-team/marmot | 38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff | [
"0BSD"
] | 8 | 2015-12-11T16:41:47.000Z | 2019-04-08T16:28:40.000Z | from goslate import Goslate
from nltk import word_tokenize
import ipdb
from marmot.features.feature_extractor import FeatureExtractor
from marmot.exceptions.no_data_error import NoDataError
| 30.793103 | 97 | 0.677492 |
ff40b32664a84e5bb2c3ecaa367f1779b82a8367 | 235 | py | Python | hackerrank/built_ins/zipped.py | alex-d-bondarev/learn-python | b119cb1e09a57e93abc73383c014cc8ceba18acf | [
"MIT"
] | null | null | null | hackerrank/built_ins/zipped.py | alex-d-bondarev/learn-python | b119cb1e09a57e93abc73383c014cc8ceba18acf | [
"MIT"
] | null | null | null | hackerrank/built_ins/zipped.py | alex-d-bondarev/learn-python | b119cb1e09a57e93abc73383c014cc8ceba18acf | [
"MIT"
] | null | null | null | if __name__ == '__main__':
_, X = input().split()
subjects = list()
for _ in range(int(X)):
subjects.append(map(float, input().split()))
for i in zip(*subjects):
print("{0:.1f}".format(sum(i)/len(i)))
| 23.5 | 52 | 0.544681 |
ff45f44cc60ac4208193a70ca5502f0bb47aa1a1 | 9,110 | py | Python | scripts/dspace_dsa_maker.py | masonpublishing/dspace_simple_archives_import | 02b90aca955dc34019e4efd77d823dbe91a9812e | [
"Apache-2.0"
] | 1 | 2019-06-04T15:36:39.000Z | 2019-06-04T15:36:39.000Z | scripts/dspace_dsa_maker.py | masonpublishing/dspace_simple_archives_import | 02b90aca955dc34019e4efd77d823dbe91a9812e | [
"Apache-2.0"
] | null | null | null | scripts/dspace_dsa_maker.py | masonpublishing/dspace_simple_archives_import | 02b90aca955dc34019e4efd77d823dbe91a9812e | [
"Apache-2.0"
] | 1 | 2019-06-04T15:42:39.000Z | 2019-06-04T15:42:39.000Z | """
dspace_dsa_maker.py - prepare DSpace Simple Archives for import.
Copyright 2018 University of Toronto Libraries
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... | 42.570093 | 97 | 0.597475 |
ff46471a452e693a79e98c3a031f0fa30bba73ed | 533 | py | Python | tests/test_notes_append_header.py | fujiawei-dev/tookit-py | 5ab3a18a41885f6166150cc27183621b96f8f991 | [
"BSD-3-Clause"
] | null | null | null | tests/test_notes_append_header.py | fujiawei-dev/tookit-py | 5ab3a18a41885f6166150cc27183621b96f8f991 | [
"BSD-3-Clause"
] | null | null | null | tests/test_notes_append_header.py | fujiawei-dev/tookit-py | 5ab3a18a41885f6166150cc27183621b96f8f991 | [
"BSD-3-Clause"
] | null | null | null | """
Date: 2022.04.13 10:28
Description: Omit
LastEditors: Rustle Karl
LastEditTime: 2022.04.13 10:28
"""
import tempfile
from pathlib import Path
from create_config_file.notes import notes_append_header
| 20.5 | 56 | 0.718574 |
ff46c04244d1b8d9066db29c8d66cfe8df3315a5 | 11,620 | py | Python | src/seirsplus/models/compartment_model_builder.py | SEIRS-Plus/v2 | 3adc155400deaa4093e523ae81d2a25989888654 | [
"MIT"
] | 1 | 2022-03-04T08:05:58.000Z | 2022-03-04T08:05:58.000Z | src/seirsplus/models/compartment_model_builder.py | SEIRS-Plus/v2 | 3adc155400deaa4093e523ae81d2a25989888654 | [
"MIT"
] | null | null | null | src/seirsplus/models/compartment_model_builder.py | SEIRS-Plus/v2 | 3adc155400deaa4093e523ae81d2a25989888654 | [
"MIT"
] | null | null | null | """
Programmatically building up compartment models
"""
# Standard Libraries
import json
# External Libraries
import numpy as np
| 39.124579 | 93 | 0.569535 |
ff46c556255a2b8fc5d5a10506e048de2e0a70b8 | 959 | py | Python | examples/multifig.py | ianhi/mpl-playback | 2c0896205b94e2c3c1ee9e8582291cc2e94aab99 | [
"BSD-3-Clause"
] | 1 | 2021-05-06T22:38:23.000Z | 2021-05-06T22:38:23.000Z | examples/multifig.py | ianhi/mpl-playback | 2c0896205b94e2c3c1ee9e8582291cc2e94aab99 | [
"BSD-3-Clause"
] | 4 | 2021-01-12T02:15:00.000Z | 2021-06-30T21:14:43.000Z | examples/multifig.py | ianhi/mpl-playback | 2c0896205b94e2c3c1ee9e8582291cc2e94aab99 | [
"BSD-3-Clause"
] | null | null | null | """
================
Multiple Figures
================
Test case for putting multiple figures into sphinx gallery.
The playback file was generated using:
``record_file("multifig.py", ["slider_fig", "fig"])``
"""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
# The parametri... | 22.833333 | 65 | 0.694473 |
ff46cfaed4a3b5bf3770ac15e877c7b30e1c87cf | 2,085 | py | Python | Chapter7 - whileandinput.py | Gmentesh2/Chapter7-input-whileloop-exerciseHM | 42b96227fa3262c30d5872d425cb7e1581f08e14 | [
"MIT"
] | null | null | null | Chapter7 - whileandinput.py | Gmentesh2/Chapter7-input-whileloop-exerciseHM | 42b96227fa3262c30d5872d425cb7e1581f08e14 | [
"MIT"
] | null | null | null | Chapter7 - whileandinput.py | Gmentesh2/Chapter7-input-whileloop-exerciseHM | 42b96227fa3262c30d5872d425cb7e1581f08e14 | [
"MIT"
] | null | null | null | promt = "Here you can enter"
promt += "a series of toppings>>>"
message = True
while message:
message = input(promt)
if message == "Quit":
print(" I'll add " + message + " to your pizza.")
else:
break
promt = "How old are you?"
promt += "\nEnter 'quit' when you a... | 26.0625 | 105 | 0.615348 |
ff46d17ceffbb94fbdc105066b86962459c8d03e | 3,380 | py | Python | scrape_mars.py | Jessica-Xia/web-scraping-challenge | 43fc16862cc20e9ac9f93e5e1a960c354fc5a964 | [
"ADSL"
] | null | null | null | scrape_mars.py | Jessica-Xia/web-scraping-challenge | 43fc16862cc20e9ac9f93e5e1a960c354fc5a964 | [
"ADSL"
] | null | null | null | scrape_mars.py | Jessica-Xia/web-scraping-challenge | 43fc16862cc20e9ac9f93e5e1a960c354fc5a964 | [
"ADSL"
] | null | null | null | from splinter import Browser
from bs4 import BeautifulSoup
import pandas as pd
import time
| 23.636364 | 114 | 0.65 |
ff473bea0ab54b3db0252443c6401db2224d1f9b | 272 | py | Python | test2.py | edwkar/marrow | 8138b44eff2cbcb8f7139cab27f57e6dc263df85 | [
"MIT"
] | null | null | null | test2.py | edwkar/marrow | 8138b44eff2cbcb8f7139cab27f57e6dc263df85 | [
"MIT"
] | null | null | null | test2.py | edwkar/marrow | 8138b44eff2cbcb8f7139cab27f57e6dc263df85 | [
"MIT"
] | null | null | null |
foo(3, 2)
report_call(0, 3, foo, (report_eval(3), report_eval(2),))
| 18.133333 | 57 | 0.566176 |
ff47954bcddeb6c75bb020c08155072c7830f063 | 6,572 | py | Python | .ipynb_checkpoints/utils_discrete-checkpoint.py | hsharsh/pinn-torch | fa563b324c286ec4425529f5ea1db03e68bec2f3 | [
"MIT"
] | 1 | 2022-01-25T04:27:33.000Z | 2022-01-25T04:27:33.000Z | utils_discrete.py | hsharsh/pinn-torch | fa563b324c286ec4425529f5ea1db03e68bec2f3 | [
"MIT"
] | null | null | null | utils_discrete.py | hsharsh/pinn-torch | fa563b324c286ec4425529f5ea1db03e68bec2f3 | [
"MIT"
] | null | null | null | # Data processing imports
import scipy.io as io
import numpy as np
from pyDOE import lhs
# Plotting imports
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from scipy.interpolate import griddata
import matplotlib.gridspec as gridspec
# Inference
# Identification
| 36.715084 | 138 | 0.580037 |
ff47ce89d7e6d1cfd4bc00b15dbb096b0f355329 | 3,896 | py | Python | scripts/gpipe/gene2gene.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | scripts/gpipe/gene2gene.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | scripts/gpipe/gene2gene.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | 1 | 2020-03-31T22:55:50.000Z | 2020-03-31T22:55:50.000Z | ##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by ... | 26.324324 | 121 | 0.587782 |
ff48fb4c7680811b739fa3fcf4eebb4da830d50b | 9,053 | py | Python | pyneval/cli/pyneval.py | CSDLLab/PyMets | 24e02dba5615c781ea0215467a4b89b9625ca519 | [
"BSD-3-Clause"
] | 12 | 2020-07-18T16:55:23.000Z | 2022-03-14T12:26:08.000Z | pyneval/cli/pyneval.py | CSDLLab/PyMets | 24e02dba5615c781ea0215467a4b89b9625ca519 | [
"BSD-3-Clause"
] | 5 | 2021-05-31T22:08:51.000Z | 2021-08-31T15:42:44.000Z | pyneval/cli/pyneval.py | CSDLLab/PyMets | 24e02dba5615c781ea0215467a4b89b9625ca519 | [
"BSD-3-Clause"
] | 2 | 2021-09-24T03:02:27.000Z | 2021-11-09T06:21:00.000Z | import argparse
import importlib
import os
import sys
import jsonschema
import pkg_resources
from multiprocessing import Pool, cpu_count
from pyneval.errors.exceptions import InvalidMetricError, PyNevalError
from pyneval.pyneval_io import json_io
from pyneval.pyneval_io import swc_io
from pyneval.metric.utils import a... | 32.564748 | 157 | 0.642218 |
ff4a89c35219dc2f2732b8374cd3ee1ff05ce0d0 | 572 | py | Python | src/tratamientos/migrations/0006_auto_20170201_1554.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | null | null | null | src/tratamientos/migrations/0006_auto_20170201_1554.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | 32 | 2016-05-09T19:37:08.000Z | 2022-01-13T01:00:52.000Z | src/tratamientos/migrations/0006_auto_20170201_1554.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2017-02-01 18:54
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 26 | 129 | 0.662587 |
ff4a945a55cd1faab9edb57d2954c239971d2727 | 3,749 | py | Python | src/alembic/versions/89944f8b35b3_db_games_model_migrations.py | green2cerberuz/db_vgames | d6d71f6b40c7e0c28c307bc314f46675ac0bf5e9 | [
"MIT"
] | null | null | null | src/alembic/versions/89944f8b35b3_db_games_model_migrations.py | green2cerberuz/db_vgames | d6d71f6b40c7e0c28c307bc314f46675ac0bf5e9 | [
"MIT"
] | null | null | null | src/alembic/versions/89944f8b35b3_db_games_model_migrations.py | green2cerberuz/db_vgames | d6d71f6b40c7e0c28c307bc314f46675ac0bf5e9 | [
"MIT"
] | null | null | null | """DB Games model migrations
Revision ID: 89944f8b35b3
Revises:
Create Date: 2020-11-14 03:49:03.255055
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "89944f8b35b3"
down_revision = None
branch_labels = None
depends_on = None
| 37.868687 | 88 | 0.623099 |
ff4bc07be12dc2426e91dab41e8aaf03e6096812 | 468 | py | Python | way/python/first_steps/basics/testgui.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | way/python/first_steps/basics/testgui.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | way/python/first_steps/basics/testgui.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | from tkinter import *
clicks = 0
root = Tk()
root.title("GUI Python")
root.geometry("300x250")
buttonText = StringVar()
buttonText.set("Clicks {}".format(clicks))
btn = Button(textvariable=buttonText, background="#555", foreground="#ccc",
padx="20", pady="8", font="16", command=click_b... | 19.5 | 76 | 0.632479 |
ff4c909fa06f90aff02e38a609573a49afbaf2e0 | 4,679 | py | Python | genomic_data_service/region_indexer_elastic_search.py | ENCODE-DCC/genomic-data-service | 954017a5bcc5f448fbe2867768186df5e066c67c | [
"MIT"
] | 3 | 2020-10-26T02:15:55.000Z | 2022-01-26T18:39:09.000Z | genomic_data_service/region_indexer_elastic_search.py | ENCODE-DCC/genomic-data-service | 954017a5bcc5f448fbe2867768186df5e066c67c | [
"MIT"
] | 3 | 2021-08-17T02:01:54.000Z | 2022-03-30T17:14:02.000Z | genomic_data_service/region_indexer_elastic_search.py | ENCODE-DCC/genomic-data-service | 954017a5bcc5f448fbe2867768186df5e066c67c | [
"MIT"
] | 1 | 2022-03-24T21:15:34.000Z | 2022-03-24T21:15:34.000Z | from elasticsearch import Elasticsearch
from elasticsearch.exceptions import NotFoundError
from elasticsearch.helpers import bulk
RESIDENTS_INDEX = 'resident_regionsets'
REGION_INDEXER_SHARDS = 2
SEARCH_MAX = 99999
FOR_REGULOME_DB = 'regulomedb'
INDEX_SETTINGS = {
'index': {
'number_of_shards': REGION_IND... | 32.047945 | 126 | 0.516777 |
ff4e9e63d1e23b29bf168baa8208ef736d094895 | 4,160 | py | Python | genda/formats/dosages.py | jeffhsu3/genda | 5adbb5b5620c592849fa4a61126b934e1857cd77 | [
"BSD-3-Clause"
] | 5 | 2016-01-12T15:12:18.000Z | 2022-02-10T21:57:39.000Z | genda/formats/dosages.py | jeffhsu3/genda | 5adbb5b5620c592849fa4a61126b934e1857cd77 | [
"BSD-3-Clause"
] | 5 | 2015-01-20T04:22:50.000Z | 2018-10-02T19:39:12.000Z | genda/formats/dosages.py | jeffhsu3/genda | 5adbb5b5620c592849fa4a61126b934e1857cd77 | [
"BSD-3-Clause"
] | 1 | 2022-03-04T06:49:39.000Z | 2022-03-04T06:49:39.000Z | """ Functions for working with tabix dosages in pandas dataframes
"""
import gzip
import numpy as np
import pandas as pd
import pysam
import statsmodels.api as sm
def get_dosages_by_range(chrm, start, end, gene_name, annotation_file,
dosage_df, mapping=None):
"""
Fuzzy mapping between annotation and... | 28.888889 | 85 | 0.566827 |
ff4eece822bfb55c7cca08af69a260d962fcf85b | 406 | py | Python | string/Python/0067-add-binary-1.py | ljyljy/LeetCode-Solution-in-Good-Style | 0998211d21796868061eb22e2cbb9bcd112cedce | [
"Apache-2.0"
] | 1 | 2021-01-10T17:03:21.000Z | 2021-01-10T17:03:21.000Z | string/Python/0067-add-binary-1.py | lemonnader/LeetCode-Solution-Well-Formed | baabdb1990fd49ab82a712e121f49c4f68b29459 | [
"Apache-2.0"
] | null | null | null | string/Python/0067-add-binary-1.py | lemonnader/LeetCode-Solution-Well-Formed | baabdb1990fd49ab82a712e121f49c4f68b29459 | [
"Apache-2.0"
] | 1 | 2021-07-25T07:53:14.000Z | 2021-07-25T07:53:14.000Z |
if __name__ == '__main__':
a = "11"
b = "1"
solution = Solution()
result = solution.addBinary(a, b)
print(result)
result1 = int(a, 2)
result2 = int(b, 2)
print(result1)
print(result2)
print(bin(result1 + result2))
print(bin(result1 + result2)[2:])
| 20.3 | 47 | 0.561576 |
ff51372a814f4b42e447cbc94944724fd9e86cc6 | 3,017 | py | Python | envergo/evaluations/migrations/0007_auto_20210816_1212.py | MTES-MCT/envergo | 8bb6e4ffa15a39edda51b39401db6cc12e73ad0a | [
"MIT"
] | null | null | null | envergo/evaluations/migrations/0007_auto_20210816_1212.py | MTES-MCT/envergo | 8bb6e4ffa15a39edda51b39401db6cc12e73ad0a | [
"MIT"
] | 6 | 2021-07-12T14:33:18.000Z | 2022-02-14T10:36:09.000Z | envergo/evaluations/migrations/0007_auto_20210816_1212.py | MTES-MCT/envergo | 8bb6e4ffa15a39edda51b39401db6cc12e73ad0a | [
"MIT"
] | null | null | null | # Generated by Django 3.1.12 on 2021-08-16 12:12
from django.db import migrations, models
| 41.328767 | 173 | 0.598608 |
ff51b99a9a8c88b5a89d588144d9adb2147e11eb | 4,943 | py | Python | app/knowledgecard.py | thaithimyduyen/German-Study-TelegramBot | 8dbcfe1f28dad7a4b012d0d94a19cb17ae7baebd | [
"MIT"
] | 2 | 2020-05-15T17:55:01.000Z | 2020-05-22T15:31:40.000Z | app/knowledgecard.py | thaithimyduyen/German-Study-TelegramBot | 8dbcfe1f28dad7a4b012d0d94a19cb17ae7baebd | [
"MIT"
] | 1 | 2022-01-20T18:33:10.000Z | 2022-01-20T18:38:44.000Z | app/knowledgecard.py | thaithimyduyen/German-Study-TelegramBot | 8dbcfe1f28dad7a4b012d0d94a19cb17ae7baebd | [
"MIT"
] | null | null | null | import logging
import enum
import copy
import telegram.error
from telegram import (
InlineKeyboardButton,
InlineKeyboardMarkup,
ParseMode
)
from app.entities import KnowledgeStatus
from app.card import Card
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level... | 27.926554 | 77 | 0.600647 |
ff5309da667685d4448f0288ca00089d68c14df3 | 316 | py | Python | learn_pyblish/myplugins/myplugin2.py | kingmax/py | 4cbc20d21c249e22e8f6b68d3c761a66a981e38f | [
"MIT"
] | null | null | null | learn_pyblish/myplugins/myplugin2.py | kingmax/py | 4cbc20d21c249e22e8f6b68d3c761a66a981e38f | [
"MIT"
] | null | null | null | learn_pyblish/myplugins/myplugin2.py | kingmax/py | 4cbc20d21c249e22e8f6b68d3c761a66a981e38f | [
"MIT"
] | null | null | null | import pyblish.api
########################################################################
| 24.307692 | 75 | 0.300633 |
ff54be97770be18ceff808d68e4d32c92c411113 | 2,411 | py | Python | tests/saliency_tests/visualizer_tests/test_mol_visualizer.py | k-ishiguro/chainer-chemistry | aec33496def16e76bdfbefa508ba01ab9f79a592 | [
"MIT"
] | 1 | 2019-06-19T00:05:59.000Z | 2019-06-19T00:05:59.000Z | tests/saliency_tests/visualizer_tests/test_mol_visualizer.py | k-ishiguro/chainer-chemistry | aec33496def16e76bdfbefa508ba01ab9f79a592 | [
"MIT"
] | null | null | null | tests/saliency_tests/visualizer_tests/test_mol_visualizer.py | k-ishiguro/chainer-chemistry | aec33496def16e76bdfbefa508ba01ab9f79a592 | [
"MIT"
] | 1 | 2020-10-12T07:23:44.000Z | 2020-10-12T07:23:44.000Z | import os
import numpy
import pytest
from rdkit import Chem
from chainer_chemistry.saliency.visualizer.mol_visualizer import MolVisualier # NOQA
from chainer_chemistry.saliency.visualizer.mol_visualizer import SmilesVisualizer # NOQA
if __name__ == '__main__':
pytest.main([__file__, '-v', '-s'])
| 33.957746 | 89 | 0.686022 |
ff55f7f2f426e01eb001fb5f6005e1a8245f5527 | 716 | py | Python | src/driver.py | 01mu/gamefaqs-scraper | 1c3ddd7b234937c1f2a5ab0ee2a9cedc33ad3d74 | [
"MIT"
] | 1 | 2022-01-08T18:13:24.000Z | 2022-01-08T18:13:24.000Z | src/driver.py | 01mu/gamefaqs-scraper | 1c3ddd7b234937c1f2a5ab0ee2a9cedc33ad3d74 | [
"MIT"
] | null | null | null | src/driver.py | 01mu/gamefaqs-scraper | 1c3ddd7b234937c1f2a5ab0ee2a9cedc33ad3d74 | [
"MIT"
] | null | null | null | #
# gamefaqs-scraper
# github.com/01mu
#
from gamefaqs_scraper import GFSBoard
from gamefaqs_scraper import GFSThread
board = GFSBoard()
board.get_site('234547-super-smash-bros-ultimate', 0)
threads = board.find()
print("Pages: " + str(board.max_page) + "\n")
for i in range(len(threads)):
print(threads[i].title... | 23.866667 | 79 | 0.642458 |
ff56d4da695b936f27e4f59c482e9fc6e6d38fb1 | 1,202 | py | Python | ServerPackage/Game.py | PaulieC/rls | fbff3a303a981a65069c9dc679c15d61056b88f1 | [
"Apache-2.0"
] | null | null | null | ServerPackage/Game.py | PaulieC/rls | fbff3a303a981a65069c9dc679c15d61056b88f1 | [
"Apache-2.0"
] | null | null | null | ServerPackage/Game.py | PaulieC/rls | fbff3a303a981a65069c9dc679c15d61056b88f1 | [
"Apache-2.0"
] | null | null | null | __author__ = "Paul Council, Joseph Gonzoph, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Matt Martorana, Justin Read"]
# imports
from ServerPackage import Observer
| 26.711111 | 72 | 0.616473 |
ff586db231494de039c35a8707572150023a7b03 | 971 | py | Python | crawlers/news/items.py | Ceruleanacg/rena | eb651b7e4d8d8db0ca87e1415a5c9190abb346d2 | [
"MIT"
] | 7 | 2018-04-01T16:07:31.000Z | 2018-07-01T10:33:26.000Z | crawlers/news/items.py | Ceruleanacg/rena | eb651b7e4d8d8db0ca87e1415a5c9190abb346d2 | [
"MIT"
] | null | null | null | crawlers/news/items.py | Ceruleanacg/rena | eb651b7e4d8d8db0ca87e1415a5c9190abb346d2 | [
"MIT"
] | 1 | 2016-02-04T20:33:06.000Z | 2016-02-04T20:33:06.000Z | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
from scrapy import Item, Field
from scrapy.loader.processors import TakeFirst, Join
| 16.741379 | 52 | 0.625129 |
ff58f5c94b3ba90cd9f6fdc7fcbabd019709a353 | 611 | py | Python | intermediate/5/5-intermediate.py | KindaExists/daily-programmer | e52519708cac3dbd2cabfbf63024646108b45372 | [
"MIT"
] | null | null | null | intermediate/5/5-intermediate.py | KindaExists/daily-programmer | e52519708cac3dbd2cabfbf63024646108b45372 | [
"MIT"
] | null | null | null | intermediate/5/5-intermediate.py | KindaExists/daily-programmer | e52519708cac3dbd2cabfbf63024646108b45372 | [
"MIT"
] | null | null | null |
"""
[intermediate] challenge #5
Source / Reddit Post - https://www.reddit.com/r/dailyprogrammer/comments/pnhtj/2132012_challenge_5_intermediate/
"""
words = []
sorted_words = []
with open('intermediate/5/words.txt', 'r') as fp:
words = fp.read().split()
sorted_words = [''.join(sorted(word)) for word in word... | 25.458333 | 112 | 0.662848 |
ff5986eb7d80707f56a8beab2a20415bc7fe42b3 | 23,051 | py | Python | Kevin/4.py | kevin-ci/advent-of-code-2020 | 697dd3d2639e30e59b228fa417ca5a76cd94f9e5 | [
"MIT"
] | null | null | null | Kevin/4.py | kevin-ci/advent-of-code-2020 | 697dd3d2639e30e59b228fa417ca5a76cd94f9e5 | [
"MIT"
] | null | null | null | Kevin/4.py | kevin-ci/advent-of-code-2020 | 697dd3d2639e30e59b228fa417ca5a76cd94f9e5 | [
"MIT"
] | null | null | null | import re
input = """iyr:2010 ecl:gry hgt:181cm
pid:591597745 byr:1920 hcl:#6b5442 eyr:2029 cid:123
cid:223 byr:1927
hgt:177cm hcl:#602927 iyr:2016 pid:404183620
ecl:amb
eyr:2020
byr:1998
ecl:hzl
cid:178 hcl:#a97842 iyr:2014 hgt:166cm pid:594143498 eyr:2030
ecl:hzl
pid:795349208 iyr:2018
eyr:2024 hcl:#de745c hgt:15... | 18.817143 | 80 | 0.753633 |
ff59e3ae0336b603d2a05d8f243ce3a51a93e303 | 802 | py | Python | brdashsite/batchrecords/migrations/0003_auto_20190226_2017.py | JNDib/brdashproject | f9a7cb543024bfb6bb3556b9affdcddb46add2e1 | [
"MIT"
] | null | null | null | brdashsite/batchrecords/migrations/0003_auto_20190226_2017.py | JNDib/brdashproject | f9a7cb543024bfb6bb3556b9affdcddb46add2e1 | [
"MIT"
] | null | null | null | brdashsite/batchrecords/migrations/0003_auto_20190226_2017.py | JNDib/brdashproject | f9a7cb543024bfb6bb3556b9affdcddb46add2e1 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.5 on 2019-02-27 02:17
from django.db import migrations
| 24.30303 | 52 | 0.574813 |
ff5afc2fece69197315667ad84fe46cb018812aa | 3,325 | py | Python | precipy/identifiers.py | ananelson/precipy | dfa87de23229903e5d26aeab82de5fa56e2a1ac5 | [
"Apache-2.0"
] | null | null | null | precipy/identifiers.py | ananelson/precipy | dfa87de23229903e5d26aeab82de5fa56e2a1ac5 | [
"Apache-2.0"
] | 2 | 2020-06-26T13:06:31.000Z | 2022-03-31T04:27:58.000Z | precipy/identifiers.py | ananelson/precipy | dfa87de23229903e5d26aeab82de5fa56e2a1ac5 | [
"Apache-2.0"
] | 3 | 2020-05-27T07:14:16.000Z | 2020-06-03T04:15:07.000Z | from enum import Enum
import hashlib
import inspect
import logging
import os
logger = logging.getLogger(name="precipy.identifiers")
metadata_filename = "metadata.pkl"
def hash_for_dict(info_dict):
logger.debug("")
logger.debug("computing hash for dict from:")
for k in sorted(info_dict):
v = info... | 29.954955 | 97 | 0.642406 |
ff5c4a6294ba492144ae065014c970ada8bfb064 | 1,802 | py | Python | src/python/marbles/ie/test/passive_test.py | marbles-ai/ie | b3fef462d3418580c827c94bc206bd2991500c1f | [
"MIT"
] | null | null | null | src/python/marbles/ie/test/passive_test.py | marbles-ai/ie | b3fef462d3418580c827c94bc206bd2991500c1f | [
"MIT"
] | null | null | null | src/python/marbles/ie/test/passive_test.py | marbles-ai/ie | b3fef462d3418580c827c94bc206bd2991500c1f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import unittest
from marbles.ie import grpc
from marbles.ie.ccg import parse_ccg_derivation2 as parse_ccg_derivation
from marbles.ie.drt.drs import Rel
from marbles.ie.semantics.ccg import process_ccg_pt, pt_to_ccg_derivation
from marbles.i... | 35.333333 | 76 | 0.669256 |
ff5d7939ba961dd0adaed7bb04d2952b658dec7e | 33,088 | py | Python | lib/devops/supervisor.py | jpotter/angel | 66e98f73621a735c7e5a7f3a70926ad99dd39f3e | [
"Apache-2.0"
] | null | null | null | lib/devops/supervisor.py | jpotter/angel | 66e98f73621a735c7e5a7f3a70926ad99dd39f3e | [
"Apache-2.0"
] | null | null | null | lib/devops/supervisor.py | jpotter/angel | 66e98f73621a735c7e5a7f3a70926ad99dd39f3e | [
"Apache-2.0"
] | null | null | null | import fcntl
import os
import random
import select
import signal
import sys
import time
import traceback
from devops.file_and_dir_helpers import *
from angel.util.pidfile import *
from devops.unix_helpers import set_proc_title
from angel.stats.disk_stats import disk_stats_get_usage_for_path
from devops.process_helpers... | 53.977162 | 242 | 0.634913 |
ff615d487c1dcefa0094156fbe9268c588f51e48 | 10,752 | py | Python | muspinsim/experiment.py | muon-spectroscopy-computational-project/muspinsim | d9e971edd840ab0c33b143f9b5694bc1b09011d2 | [
"MIT"
] | null | null | null | muspinsim/experiment.py | muon-spectroscopy-computational-project/muspinsim | d9e971edd840ab0c33b143f9b5694bc1b09011d2 | [
"MIT"
] | null | null | null | muspinsim/experiment.py | muon-spectroscopy-computational-project/muspinsim | d9e971edd840ab0c33b143f9b5694bc1b09011d2 | [
"MIT"
] | null | null | null | """experiment.py
Classes and functions to perform actual experiments"""
import logging
import numpy as np
import scipy.constants as cnst
from muspinsim.constants import MU_TAU
from muspinsim.utils import get_xy
from muspinsim.mpi import mpi_controller as mpi
from muspinsim.simconfig import MuSpinConfig, ConfigSnapsh... | 31.623529 | 88 | 0.530599 |
ff617cfb1a089c6b6e48e0e320406fd3e6b05484 | 5,456 | py | Python | obtain_rms_frequency_domain.py | antonyvm1102/Redbox | 8aa7feeaa6513275e7e78ed6cc049bed50bf1ec2 | [
"MIT"
] | null | null | null | obtain_rms_frequency_domain.py | antonyvm1102/Redbox | 8aa7feeaa6513275e7e78ed6cc049bed50bf1ec2 | [
"MIT"
] | null | null | null | obtain_rms_frequency_domain.py | antonyvm1102/Redbox | 8aa7feeaa6513275e7e78ed6cc049bed50bf1ec2 | [
"MIT"
] | null | null | null | import signal_processing as sp
import numpy as np
import sys
import time
"""
Get RMS in frequency domain per 1/3 octave band for all signals and translate to min/mean/max per band.
TODO: add option to exclude zeros from the minimum as in 'capture_min_max_mean_stdev.py'.
"""
def largest_power_of_base(n, base... | 43.648 | 104 | 0.65011 |
ff618e7f05dc5906031406a71845d508dc1f772b | 6,515 | py | Python | addons/calendar/tests/test_event_notifications.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/calendar/tests/test_event_notifications.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/calendar/tests/test_event_notifications.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from unittest.mock import patch
from datetime import datetime, date
from dateutil.relativedelta import relativedelta
from odoo import fields
from odoo.tests.common import SavepointCase, new_test_user
from odoo.addons.ma... | 39.72561 | 142 | 0.576362 |
ff61a35da70ce96da4dbed1626f69b49464f0702 | 1,393 | py | Python | transformers/configuration_classifier.py | Rohit--Sharma/transformers | 837b33e31546b0064208770ba37b88a5d93ec826 | [
"Apache-2.0"
] | null | null | null | transformers/configuration_classifier.py | Rohit--Sharma/transformers | 837b33e31546b0064208770ba37b88a5d93ec826 | [
"Apache-2.0"
] | null | null | null | transformers/configuration_classifier.py | Rohit--Sharma/transformers | 837b33e31546b0064208770ba37b88a5d93ec826 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 33.97561 | 83 | 0.712132 |
ff645fb0b531eb78c5209f67de47acd24606ce15 | 407 | py | Python | teeport/__init__.py | SPEAR3-ML/teeport-client-python | cb0a81e9a8e111bf4116484bbe496252aa8d9edc | [
"MIT"
] | null | null | null | teeport/__init__.py | SPEAR3-ML/teeport-client-python | cb0a81e9a8e111bf4116484bbe496252aa8d9edc | [
"MIT"
] | null | null | null | teeport/__init__.py | SPEAR3-ML/teeport-client-python | cb0a81e9a8e111bf4116484bbe496252aa8d9edc | [
"MIT"
] | null | null | null | # Copyright (c) 2019-2020, SPEAR3 authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
# The reason we need nest_asyncio is that we run multiple event loops in a
# single thread, that's not allowed. The future work should be create a new
# thread for each event loop so we can get rid ... | 37 | 75 | 0.773956 |
ff65c0e6971ce7212c2e0454417283a2f36e752e | 1,886 | py | Python | Eval/model.py | gabbar-08/Coupon-Redemption-Prediction | 98a65f1ca2c14bf9d6430aeebcb1594b20211bcf | [
"MIT"
] | null | null | null | Eval/model.py | gabbar-08/Coupon-Redemption-Prediction | 98a65f1ca2c14bf9d6430aeebcb1594b20211bcf | [
"MIT"
] | null | null | null | Eval/model.py | gabbar-08/Coupon-Redemption-Prediction | 98a65f1ca2c14bf9d6430aeebcb1594b20211bcf | [
"MIT"
] | null | null | null |
#Step 1 :- Importing dependancies and train test data generated
from config import *
train_data = pd.read_csv("data/train_data/train_feature.csv")
test_data = pd.read_csv("data/test_data/test_feature.csv")
#Step 2 :- Getting train data insights and drop unnecessary columns, Splitting data into input and target ... | 41.911111 | 181 | 0.742842 |
ff66410bdbe1205af5c60fa1d3952254cdea2bbe | 1,078 | py | Python | docs/_ext/django_models.py | bhrutledge/jahhills.com | 74fe94a214f1ed5681bd45159315f0b68daf5a33 | [
"MIT"
] | 1 | 2016-04-12T17:38:26.000Z | 2016-04-12T17:38:26.000Z | docs/_ext/django_models.py | bhrutledge/jahhills.com | 74fe94a214f1ed5681bd45159315f0b68daf5a33 | [
"MIT"
] | 92 | 2015-04-03T10:04:55.000Z | 2021-07-17T11:13:52.000Z | docs/_ext/django_models.py | bhrutledge/jahhills.com | 74fe94a214f1ed5681bd45159315f0b68daf5a33 | [
"MIT"
] | 1 | 2021-01-26T18:02:49.000Z | 2021-01-26T18:02:49.000Z | # Auto-document Django models
# Copied and adapted from https://djangosnippets.org/snippets/2533/
import inspect
from django.utils.html import strip_tags
from django.utils.encoding import force_text
from django.db import models
| 31.705882 | 77 | 0.669759 |
ff67664ebb9e9ff9a5a17938e52f47a51c7667d5 | 75 | py | Python | Hacker_Rank/Python: Division.py | Jai-kishan/Practice-Questions | cf3a3eb5c2e930fcfcb762d822430060bb5deb2d | [
"Apache-2.0"
] | 1 | 2019-05-04T09:21:00.000Z | 2019-05-04T09:21:00.000Z | Hacker_Rank/Python: Division.py | Jai-kishan/Practice-Questions | cf3a3eb5c2e930fcfcb762d822430060bb5deb2d | [
"Apache-2.0"
] | null | null | null | Hacker_Rank/Python: Division.py | Jai-kishan/Practice-Questions | cf3a3eb5c2e930fcfcb762d822430060bb5deb2d | [
"Apache-2.0"
] | null | null | null | a=int(input())
b=int(input())
print (a/b)
a=float(a)
b=float(b)
print (a/b) | 12.5 | 14 | 0.613333 |
ff687b565ac41fe08f64ade140dd3095099140f5 | 30,770 | py | Python | math/tests/testcases.py | fuz-woo/gpython | 06dadad26f41e35b57c144ffdac01fb3f23977e9 | [
"BSD-3-Clause"
] | 520 | 2018-08-21T19:28:23.000Z | 2022-03-30T21:26:10.000Z | math/tests/testcases.py | fuz-woo/gpython | 06dadad26f41e35b57c144ffdac01fb3f23977e9 | [
"BSD-3-Clause"
] | 165 | 2018-08-22T07:54:29.000Z | 2022-03-31T20:34:21.000Z | math/tests/testcases.py | fuz-woo/gpython | 06dadad26f41e35b57c144ffdac01fb3f23977e9 | [
"BSD-3-Clause"
] | 84 | 2018-08-27T03:29:09.000Z | 2022-03-15T23:19:13.000Z | # Copyright 2018 The go-python Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
# Testcases for functions in math.
#
# Each line takes the form:
#
# <testid> <function> <input_value> -> <output_value> <flags>
#
# where:
#
# <testid> ... | 43.034965 | 125 | 0.70819 |
ff6a1f66860f729064e1d9b6a13de4fb71f5b15a | 3,535 | py | Python | db_query/middleware/complex_bundles_parse.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | 1 | 2019-03-06T19:46:18.000Z | 2019-03-06T19:46:18.000Z | db_query/middleware/complex_bundles_parse.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | 2 | 2020-06-05T19:41:06.000Z | 2021-06-10T21:05:53.000Z | db_query/middleware/complex_bundles_parse.py | hbolzan/django-sql-to-rest | 008f2d726fc7b758e45d24eb2e32ae605f194947 | [
"BSD-2-Clause"
] | null | null | null | import requests
import functools
from django.shortcuts import get_object_or_404
from db_query.models import PersistentQuery
def parse_bundle_action(raw_action):
"""
Parse action attributes such as
caption:Recalcular;type:primary;action:reglass_cotacoes.recalcular;enabled-states:@view,pending
"""
... | 30.73913 | 99 | 0.657709 |
ff6d9a9eb43a919d390d165fa0fb6535151149e1 | 5,160 | py | Python | template/template/scripts/launcher.py | chrismear/renios | 8eed53054fb4361eecb09e3c0eb3e26fd76d0cf0 | [
"CC-BY-3.0"
] | 15 | 2015-02-01T12:31:41.000Z | 2021-08-07T01:17:10.000Z | template/template/scripts/launcher.py | chrismear/renios | 8eed53054fb4361eecb09e3c0eb3e26fd76d0cf0 | [
"CC-BY-3.0"
] | null | null | null | template/template/scripts/launcher.py | chrismear/renios | 8eed53054fb4361eecb09e3c0eb3e26fd76d0cf0 | [
"CC-BY-3.0"
] | 4 | 2015-01-23T00:00:14.000Z | 2019-12-02T15:15:28.000Z | #!/usr/bin/env python
#@PydevCodeAnalysisIgnore
# Copyright 2004-2012 Tom Rothamel <pytom@bishoujo.us>
#
# 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 witho... | 31.463415 | 101 | 0.673256 |
ff6fcc0a58ed321ca99604158b2cf643d6bc1d63 | 1,462 | py | Python | do_aramco_sz.py | Meso272/PyTorch-VAE | b1f80082a92c706969a63162ae083b9f7d15d9aa | [
"Apache-2.0"
] | null | null | null | do_aramco_sz.py | Meso272/PyTorch-VAE | b1f80082a92c706969a63162ae083b9f7d15d9aa | [
"Apache-2.0"
] | null | null | null | do_aramco_sz.py | Meso272/PyTorch-VAE | b1f80082a92c706969a63162ae083b9f7d15d9aa | [
"Apache-2.0"
] | 1 | 2022-02-11T23:22:41.000Z | 2022-02-11T23:22:41.000Z | import os
import numpy as np
datafolder="/home/jliu447/lossycompression/aramco"
ebs=[i*1e-4 for i in range(1,10)]+[i*1e-3 for i in range(1,10)]+[i*1e-2 for i in range(1,11)]
cr=np.zeros((29,51),dtype=np.float32)
psnr=np.zeros((29,51),dtype=np.float32)
filelist=os.listdir(datafolder)
filelist=[x for x in filelist if... | 31.782609 | 93 | 0.55472 |