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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f536be230ab9f47d327f6fa5a8e54f230ab096d9 | 1,745 | py | Python | chatServer/server.py | RobbeBryssinck/chatApplication | 628ab6acb2b19d26d3e5c064cbea14747041f43e | [
"MIT"
] | null | null | null | chatServer/server.py | RobbeBryssinck/chatApplication | 628ab6acb2b19d26d3e5c064cbea14747041f43e | [
"MIT"
] | null | null | null | chatServer/server.py | RobbeBryssinck/chatApplication | 628ab6acb2b19d26d3e5c064cbea14747041f43e | [
"MIT"
] | null | null | null | import socket
import sys
import os
import optparse
from threading import *
clients = []
if __name__ == '__main__':
main()
| 19.606742 | 91 | 0.676218 |
f537b763bb0939c0d65ba5d32dd7d3fcdadbcca3 | 1,502 | py | Python | tests/test_utils_bytes.py | cwichel/embutils | 188d86d84637088bafef188b3312078048934113 | [
"MIT"
] | null | null | null | tests/test_utils_bytes.py | cwichel/embutils | 188d86d84637088bafef188b3312078048934113 | [
"MIT"
] | null | null | null | tests/test_utils_bytes.py | cwichel/embutils | 188d86d84637088bafef188b3312078048934113 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: ascii -*-
"""
Byte utilities testing.
:date: 2021
:author: Christian Wiche
:contact: cwichel@gmail.com
:license: The MIT License (MIT)
"""
import unittest
from embutils.utils import bitmask, reverse_bits, reverse_bytes
# -->> Definitions <<------------------
# -->> Tes... | 23.107692 | 63 | 0.581891 |
f538ca85acdf301ac647a1ecf10d45b209f9fdd3 | 2,419 | py | Python | events/migrations/0020_add_event_comments.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 446 | 2018-01-21T09:22:41.000Z | 2022-03-25T17:46:12.000Z | events/migrations/0020_add_event_comments.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 272 | 2018-01-03T16:55:39.000Z | 2022-03-11T23:12:30.000Z | events/migrations/0020_add_event_comments.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 100 | 2018-01-27T02:04:15.000Z | 2021-09-09T09:02:21.000Z | # Generated by Django 2.0 on 2018-03-24 02:55
import datetime
import django.db.models.deletion
from django.db import migrations, models
import mptt.fields
| 32.689189 | 88 | 0.47871 |
f53bf8a6756951f510b486992b5a699a1e895570 | 13,529 | py | Python | ant_algorithm.py | devancakra/Ant-Algorithm-Pencarian-Rute-Tercepat | d766c94ab862e2856412ee19cb883033b914bd3f | [
"MIT"
] | 1 | 2021-11-08T12:53:16.000Z | 2021-11-08T12:53:16.000Z | ant_algorithm.py | devancakra/Ant-Algorithm-Pencarian-Rute-Tercepat | d766c94ab862e2856412ee19cb883033b914bd3f | [
"MIT"
] | null | null | null | ant_algorithm.py | devancakra/Ant-Algorithm-Pencarian-Rute-Tercepat | d766c94ab862e2856412ee19cb883033b914bd3f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Ant_Algorithm.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1Zjt1SInhoaFEqSmsPjEfWQE7jhugAvZA
# **ANT ALGORITHM BY KELOMPOK 9**
1. Heri Khariono - 18081010002
2. Devan Cakra Mudra Wijaya - 18081010013
3. Ika Nur Habib... | 46.332192 | 168 | 0.663612 |
f53d0274845ff18a273019ee23bb400432511d7c | 588 | py | Python | utils/tool.py | yongleex/SBCC | 40f8e67e446fc14fc82ea87f82ee841d62520c71 | [
"MIT"
] | 4 | 2021-09-04T04:02:57.000Z | 2021-12-27T13:27:26.000Z | utils/tool.py | yongleex/SBCC | 40f8e67e446fc14fc82ea87f82ee841d62520c71 | [
"MIT"
] | 1 | 2021-09-10T07:40:36.000Z | 2022-01-02T06:23:12.000Z | utils/tool.py | yongleex/SBCC | 40f8e67e446fc14fc82ea87f82ee841d62520c71 | [
"MIT"
] | 1 | 2021-09-10T07:36:29.000Z | 2021-09-10T07:36:29.000Z | import numpy as np
from scipy.ndimage import maximum_filter
def signal2noise(r_map):
""" Compute the signal-to-noise ratio of correlation plane.
w*h*c"""
r = r_map.copy()
max_r = maximum_filter(r_map, (5,5,1))
ind = max_r> (r_map+1e-3)
r[ind] = 0.05
r = np.reshape(r, (-1, r.shape[-1]))
... | 18.375 | 63 | 0.612245 |
f53f1078d0ccf6010a2d5acd1664c6d7881e41c8 | 8,584 | py | Python | bjtunlp/train.py | bigbosskai/bjtunlp | 58d8ca53fa1d99df2f47f10a0780619c4cdba22f | [
"MIT"
] | 1 | 2020-12-16T07:18:00.000Z | 2020-12-16T07:18:00.000Z | bjtunlp/train.py | bigbosskai/bjtunlp | 58d8ca53fa1d99df2f47f10a0780619c4cdba22f | [
"MIT"
] | null | null | null | bjtunlp/train.py | bigbosskai/bjtunlp | 58d8ca53fa1d99df2f47f10a0780619c4cdba22f | [
"MIT"
] | 1 | 2022-03-12T16:41:32.000Z | 2022-03-12T16:41:32.000Z | import os
import time
import argparse
from tqdm import tqdm
import torch
from torch import optim
from torch import nn
from fastNLP import BucketSampler
from fastNLP import logger
from fastNLP import DataSetIter
from fastNLP import Tester
from fastNLP import cache_results
from bjtunlp.models import BertParser
from b... | 48.224719 | 203 | 0.65028 |
f53f3f14419ce7e5f5fb052bfc8906e374ee8971 | 7,978 | py | Python | archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py | DS3Lab/LambdaML | 0afca7819e08632ba116fec8e102084e4040a47a | [
"Apache-2.0"
] | 23 | 2021-05-17T09:24:24.000Z | 2022-01-29T18:40:44.000Z | archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py | DS3Lab/LambdaML | 0afca7819e08632ba116fec8e102084e4040a47a | [
"Apache-2.0"
] | 2 | 2021-05-17T16:15:12.000Z | 2021-07-20T09:11:22.000Z | archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py | DS3Lab/LambdaML | 0afca7819e08632ba116fec8e102084e4040a47a | [
"Apache-2.0"
] | 3 | 2021-05-17T09:31:53.000Z | 2021-12-02T16:29:59.000Z | import time
import torch
from torch.autograd import Variable
from torch.utils.data.sampler import SubsetRandomSampler
from archived.elasticache import redis_init
from archived.s3.get_object import get_object
from archived.old_model import LogisticRegression
from data_loader.libsvm_dataset import DenseDatas... | 44.322222 | 120 | 0.587741 |
f53f7ca7e55025431c0eddd3b58db5224cb4211d | 177 | py | Python | src/params/NeuronTypes.py | thatmariia/grid-ping | 3c32e48226adddcffba605573daa80cca02b5a57 | [
"BSD-4-Clause"
] | null | null | null | src/params/NeuronTypes.py | thatmariia/grid-ping | 3c32e48226adddcffba605573daa80cca02b5a57 | [
"BSD-4-Clause"
] | null | null | null | src/params/NeuronTypes.py | thatmariia/grid-ping | 3c32e48226adddcffba605573daa80cca02b5a57 | [
"BSD-4-Clause"
] | null | null | null | from enum import Enum
| 16.090909 | 66 | 0.649718 |
f5401cd673d6e1e3eddd77c34fed0869702ad889 | 2,346 | py | Python | src/backend/common/manipulators/team_manipulator.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | src/backend/common/manipulators/team_manipulator.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | src/backend/common/manipulators/team_manipulator.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | from typing import List
from backend.common.cache_clearing import get_affected_queries
from backend.common.manipulators.manipulator_base import ManipulatorBase
from backend.common.models.cached_model import TAffectedReferences
from backend.common.models.team import Team
| 37.238095 | 101 | 0.656436 |
f5405ca41fa935c1df325e78905e0a54820977fe | 179 | py | Python | dtf/packages/settings.py | WebPowerLabs/django-trainings | 97f7a96c0fbeb85a001201c74713f7944cb77236 | [
"BSD-3-Clause"
] | null | null | null | dtf/packages/settings.py | WebPowerLabs/django-trainings | 97f7a96c0fbeb85a001201c74713f7944cb77236 | [
"BSD-3-Clause"
] | null | null | null | dtf/packages/settings.py | WebPowerLabs/django-trainings | 97f7a96c0fbeb85a001201c74713f7944cb77236 | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
INFUSIONSOFT_COMPANY = getattr(settings, 'INFUSIONSOFT_COMPANY_ID', None)
INFUSIONSOFT_API_KEY = getattr(settings, 'INFUSIONSOFT_API_KEY', None)
| 35.8 | 73 | 0.832402 |
f5450958d50c031030e18504e081e98ce995e8e8 | 3,680 | py | Python | measures/over_under_exposure_measure/over_under_exposure_measure.py | HensoldtOptronicsCV/ImageQualityAssessment | 7bb3af2cd20a32415966304c8fa3acb77c54f85d | [
"MIT"
] | 8 | 2020-06-12T12:49:19.000Z | 2021-04-27T12:10:49.000Z | measures/over_under_exposure_measure/over_under_exposure_measure.py | HensoldtOptronicsCV/ImageQualityAssessment | 7bb3af2cd20a32415966304c8fa3acb77c54f85d | [
"MIT"
] | null | null | null | measures/over_under_exposure_measure/over_under_exposure_measure.py | HensoldtOptronicsCV/ImageQualityAssessment | 7bb3af2cd20a32415966304c8fa3acb77c54f85d | [
"MIT"
] | 5 | 2020-04-18T11:30:47.000Z | 2022-03-04T07:05:21.000Z | # MIT License
#
# Copyright (c) 2020 HENSOLDT
#
# 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, pub... | 41.818182 | 137 | 0.741848 |
f54590a9d9506eac6f07374f1bb10c88ce804b14 | 2,567 | py | Python | tests/test_cascade.py | mathDR/jax-pilco | c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527 | [
"BSD-3-Clause"
] | null | null | null | tests/test_cascade.py | mathDR/jax-pilco | c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527 | [
"BSD-3-Clause"
] | null | null | null | tests/test_cascade.py | mathDR/jax-pilco | c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527 | [
"BSD-3-Clause"
] | null | null | null | from pilco.models.pilco import PILCO
import jax.numpy as jnp
import numpy as np
import objax
import os
import oct2py
import logging
oc = oct2py.Oct2Py(logger=oct2py.get_log())
oc.logger = oct2py.get_log("new_log")
oc.logger.setLevel(logging.INFO)
dir_path = os.path.dirname(os.path.realpath("__file__")) + "/tests/Matla... | 27.602151 | 86 | 0.638878 |
f545d16ab5e716cdb065a0e70787360e7d612aef | 275 | py | Python | server/services/main.py | Jordonkopp/Flask-Vue | db842f1a31f2ca4cf51ce1b2a927d6d2ad860c00 | [
"MIT"
] | 2 | 2019-02-27T16:55:01.000Z | 2019-02-27T20:23:29.000Z | server/services/main.py | Jordonkopp/Flask-Vue | db842f1a31f2ca4cf51ce1b2a927d6d2ad860c00 | [
"MIT"
] | 5 | 2020-04-30T00:01:01.000Z | 2021-10-05T19:42:15.000Z | server/services/main.py | Jordonkopp/Flask-Vue | db842f1a31f2ca4cf51ce1b2a927d6d2ad860c00 | [
"MIT"
] | null | null | null | from flask import Blueprint, redirect, url_for
from server.utils.core_utils import logger
# Create Blueprint
main = Blueprint("main", __name__)
# redirect when you visit /
| 21.153846 | 46 | 0.727273 |
f5465045af39eda12ecdfeb4fa359c70d7f7cca7 | 528 | py | Python | api/migrations/0003_group_post.py | KolesnikRV/api_final_yatube | 23fdd8b6c2a55ff5c70c62b58ecd69ff1dd23e7d | [
"BSD-3-Clause"
] | null | null | null | api/migrations/0003_group_post.py | KolesnikRV/api_final_yatube | 23fdd8b6c2a55ff5c70c62b58ecd69ff1dd23e7d | [
"BSD-3-Clause"
] | null | null | null | api/migrations/0003_group_post.py | KolesnikRV/api_final_yatube | 23fdd8b6c2a55ff5c70c62b58ecd69ff1dd23e7d | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-07 06:43
from django.db import migrations, models
import django.db.models.deletion
| 25.142857 | 132 | 0.63447 |
f546b5a71740ed44a893660c0c2c42d95a14bc63 | 111 | py | Python | iflow/model/cflows/__init__.py | WeitaoZC/iflow | 404ffdbeb27d9fae7d1350de6af84ed7bfdaad99 | [
"MIT"
] | 11 | 2020-11-01T06:03:57.000Z | 2022-03-10T01:14:03.000Z | iflow/model/cflows/__init__.py | WeitaoZC/iflow | 404ffdbeb27d9fae7d1350de6af84ed7bfdaad99 | [
"MIT"
] | 1 | 2022-03-14T21:32:51.000Z | 2022-03-14T21:32:51.000Z | iflow/model/cflows/__init__.py | WeitaoZC/iflow | 404ffdbeb27d9fae7d1350de6af84ed7bfdaad99 | [
"MIT"
] | 2 | 2021-02-03T02:41:14.000Z | 2021-06-08T16:31:02.000Z | from .odefunc import (ODEnet,
ODEfunc)
from .cnf import CNF
from .diffeq_layers import * | 22.2 | 30 | 0.621622 |
f547d48b9bf65696e52de1543f4c4b442a9e0501 | 2,042 | py | Python | python/general-python/create-replica-and-download/createReplicaAndDownload.py | claudeshyaka-esri/developer-support | 016940d74f92a78f362900ab5329aa88c27d0a43 | [
"Apache-2.0"
] | 272 | 2015-02-11T16:26:39.000Z | 2022-03-31T08:47:33.000Z | python/general-python/create-replica-and-download/createReplicaAndDownload.py | claudeshyaka-esri/developer-support | 016940d74f92a78f362900ab5329aa88c27d0a43 | [
"Apache-2.0"
] | 254 | 2015-02-11T01:12:35.000Z | 2021-04-22T22:14:20.000Z | python/general-python/create-replica-and-download/createReplicaAndDownload.py | claudeshyaka-esri/developer-support | 016940d74f92a78f362900ab5329aa88c27d0a43 | [
"Apache-2.0"
] | 211 | 2015-02-10T00:09:07.000Z | 2022-02-24T12:27:40.000Z | import urllib, urllib2, json, time, os
username = "username" #CHANGE
password = "password" #CHANGE
replicaURL = "feature service url/FeatureServer/createReplica" #CHANGE
replicaLayers = [0] ... | 34.610169 | 85 | 0.642018 |
f54a3cae489a26d054375f7cc639c9b189e844de | 10,980 | py | Python | tests/test_dsl.py | os-climate/declarative-trino-access-control | 8a810fccaca0e089cd17d4a1c888da7bcb36063e | [
"Apache-2.0"
] | null | null | null | tests/test_dsl.py | os-climate/declarative-trino-access-control | 8a810fccaca0e089cd17d4a1c888da7bcb36063e | [
"Apache-2.0"
] | 4 | 2022-01-15T14:37:21.000Z | 2022-03-26T12:42:24.000Z | tests/test_dsl.py | os-climate/osc-trino-acl-dsl | 8a810fccaca0e089cd17d4a1c888da7bcb36063e | [
"Apache-2.0"
] | null | null | null | import re
import textwrap
import yaml
from osc_trino_acl_dsl.dsl2rules import dsl_to_rules
def rule_matches(rule: dict, table: Table, user: User) -> bool:
"""emulates trino rule matching semantics"""
if ("catalog" in rule) and (not re.fullmatch(rule["catalog"], table.catalog)):
return False
if... | 32.485207 | 105 | 0.543443 |
f54e716dfa472cc32b79479172fc0cb1532d563d | 1,028 | py | Python | setup.py | henryk/byro-cnss | 77cc4d34a521879f9f225b473964b7384db306b1 | [
"Apache-2.0"
] | null | null | null | setup.py | henryk/byro-cnss | 77cc4d34a521879f9f225b473964b7384db306b1 | [
"Apache-2.0"
] | null | null | null | setup.py | henryk/byro-cnss | 77cc4d34a521879f9f225b473964b7384db306b1 | [
"Apache-2.0"
] | null | null | null | import os
from distutils.command.build import build
from django.core import management
from setuptools import find_packages, setup
try:
with open(os.path.join(os.path.dirname(__file__), 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
except:
long_description = ''
cmdclass = {
... | 23.363636 | 92 | 0.696498 |
f54f18f6eb1da6e577537fa0c7b336cc4d1057b5 | 2,181 | py | Python | utils/tensor_utils_test.py | zhuchen03/federated | 6bbcdcb856759aa29daa9a510e7d5f34f6915010 | [
"Apache-2.0"
] | 2 | 2021-10-19T13:55:11.000Z | 2021-11-11T11:26:05.000Z | utils/tensor_utils_test.py | zhuchen03/federated | 6bbcdcb856759aa29daa9a510e7d5f34f6915010 | [
"Apache-2.0"
] | 2 | 2021-11-10T20:22:35.000Z | 2022-02-10T04:44:40.000Z | utils/tensor_utils_test.py | zhuchen03/federated | 6bbcdcb856759aa29daa9a510e7d5f34f6915010 | [
"Apache-2.0"
] | 1 | 2021-03-09T09:48:56.000Z | 2021-03-09T09:48:56.000Z | # Copyright 2018, The TensorFlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 32.552239 | 79 | 0.64099 |
f54f50b36cac1b6f41d6778991e01f0570bbafab | 3,426 | py | Python | autonmap/__main__.py | zeziba/AUTONMAP | 50a2ae5f0731bc919ccb8978c619d1432b447286 | [
"Apache-2.0"
] | null | null | null | autonmap/__main__.py | zeziba/AUTONMAP | 50a2ae5f0731bc919ccb8978c619d1432b447286 | [
"Apache-2.0"
] | null | null | null | autonmap/__main__.py | zeziba/AUTONMAP | 50a2ae5f0731bc919ccb8978c619d1432b447286 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import logging.handlers
import sys
from sys import argv, modules
from os.path import join
from autonmap import cron_scheduler
from autonmap import launch_client
from autonmap import launch_server
from autonmap.server import server_config as sconfig
"""
This module allows autonmap to interact w... | 35.6875 | 98 | 0.537069 |
f54ff4d5dcb3a333a55f6c56d21b89f6d29ae597 | 6,166 | py | Python | src/logic_gradient.py | Einzberg/BattlesnakeFun | 4276144c3ccfab66e7c9df4717681e305861f76a | [
"MIT"
] | null | null | null | src/logic_gradient.py | Einzberg/BattlesnakeFun | 4276144c3ccfab66e7c9df4717681e305861f76a | [
"MIT"
] | null | null | null | src/logic_gradient.py | Einzberg/BattlesnakeFun | 4276144c3ccfab66e7c9df4717681e305861f76a | [
"MIT"
] | null | null | null | # import random
# from typing import List, Dict
import numpy as np
# import matplotlib.pyplot as plt
def get_info() -> dict:
"""
This controls your Battlesnake appearance and author permissions.
For customization options, see https://docs.battlesnake.com/references/personalization
TIP: If you open you... | 28.155251 | 105 | 0.509569 |
f55005f6eda0c8aeadd07c4aee7c84c8198766c5 | 11 | py | Python | src/__init__.py | Peefy/StatisticalLearningMethod.Python | 7324d51b58932052bc518b9e82f64b76f0c39bf0 | [
"Apache-2.0"
] | 1 | 2018-10-05T08:20:50.000Z | 2018-10-05T08:20:50.000Z | src/__init__.py | Peefy/StatisticalLearningMethod.Python | 7324d51b58932052bc518b9e82f64b76f0c39bf0 | [
"Apache-2.0"
] | null | null | null | src/__init__.py | Peefy/StatisticalLearningMethod.Python | 7324d51b58932052bc518b9e82f64b76f0c39bf0 | [
"Apache-2.0"
] | null | null | null |
# pdf.244
| 3.666667 | 9 | 0.545455 |
f5538c72ced0bc74b5e82bee2c3ce5f0a35952cd | 11,836 | py | Python | nuclear/help/help.py | igrek51/glue | 6726ba977a21e58b354a5c97f68639f84184be7a | [
"MIT"
] | 4 | 2019-07-04T20:41:06.000Z | 2020-04-23T18:17:33.000Z | nuclear/help/help.py | igrek51/cliglue | 6726ba977a21e58b354a5c97f68639f84184be7a | [
"MIT"
] | null | null | null | nuclear/help/help.py | igrek51/cliglue | 6726ba977a21e58b354a5c97f68639f84184be7a | [
"MIT"
] | null | null | null | import os
import sys
from dataclasses import dataclass, field
from typing import List, Set, Optional
from nuclear.builder.rule import PrimaryOptionRule, ParameterRule, FlagRule, CliRule, SubcommandRule, \
PositionalArgumentRule, ManyArgumentsRule, DictionaryRule, ValueRule
from nuclear.parser.context import RunCon... | 35.22619 | 119 | 0.710037 |
f553c00e89c0f5a71a1f1863c8dfb6394c78b550 | 1,997 | py | Python | Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py | geoffroygivry/CyclopsVFX-Unity | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 17 | 2017-06-27T04:14:42.000Z | 2022-03-07T03:37:44.000Z | Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py | geoffroygivry/Cyclops-VFX | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 2 | 2017-06-14T04:17:51.000Z | 2018-08-23T20:12:44.000Z | Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py | geoffroygivry/CyclopsVFX-Unity | 6ab9ab122b6c3e6200e90d49a0c2bf774e53d985 | [
"MIT"
] | 2 | 2019-03-18T06:18:33.000Z | 2019-08-14T21:07:53.000Z | #The MIT License (MIT)
#
#Copyright (c) 2015 Geoffroy Givry
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, m... | 46.44186 | 263 | 0.725588 |
f554392a1fb675c44914e72f8067a655af6c342c | 464 | py | Python | graphql/main.py | py-in-the-sky/appengine-swapi | 824d770cd11e5510b2300d1e248a9474e3fde8c2 | [
"MIT"
] | null | null | null | graphql/main.py | py-in-the-sky/appengine-swapi | 824d770cd11e5510b2300d1e248a9474e3fde8c2 | [
"MIT"
] | null | null | null | graphql/main.py | py-in-the-sky/appengine-swapi | 824d770cd11e5510b2300d1e248a9474e3fde8c2 | [
"MIT"
] | null | null | null | """
`main` is the top level module where AppEngine gets access
to your Flask application.
"""
from app import create_app
from config import config
from os import environ
if environ['SERVER_SOFTWARE'].startswith('Development'):
app_config = config['development']
else:
app_config = config['production']
app ... | 22.095238 | 60 | 0.752155 |
f5553f600d9e51ffdced6978931c7ede4d5b363d | 7,458 | py | Python | src/extract_features.py | AymericBebert/MusicLearning | 8fbc931330029baa8ae9cfcfa20c79e41b5eca8f | [
"MIT"
] | null | null | null | src/extract_features.py | AymericBebert/MusicLearning | 8fbc931330029baa8ae9cfcfa20c79e41b5eca8f | [
"MIT"
] | null | null | null | src/extract_features.py | AymericBebert/MusicLearning | 8fbc931330029baa8ae9cfcfa20c79e41b5eca8f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*-coding:utf-8-*-
"""
This module is used to extract features from the data
"""
import numpy as np
from scipy.fftpack import fft
from scipy.fftpack.realtransforms import dct
import python_speech_features
eps = 0.00000001
def file_length(soundParams):
"""Returns the file length, in sec... | 34.850467 | 121 | 0.616519 |
f558d1166458b00b259c7deac962e45e929e8c73 | 255 | py | Python | src/gme/estimate/__init__.py | USITC-Gravity-Group/GME | 640e1cd6a571e6802a62b5fdcb00544f3b8c0b32 | [
"CC0-1.0"
] | 10 | 2018-10-17T18:50:08.000Z | 2021-11-05T22:27:45.000Z | src/gme/estimate/__init__.py | USITC-Gravity-Group/GME | 640e1cd6a571e6802a62b5fdcb00544f3b8c0b32 | [
"CC0-1.0"
] | 7 | 2020-06-03T20:04:10.000Z | 2021-03-31T13:59:01.000Z | src/gme/estimate/__init__.py | USITC-Gravity-Group/GME | 640e1cd6a571e6802a62b5fdcb00544f3b8c0b32 | [
"CC0-1.0"
] | 6 | 2020-05-12T12:43:55.000Z | 2022-02-25T08:47:17.000Z | from .combine_sector_results import *
from .DiagnosticsLog import *
from .EstimationModel import *
from .format_regression_table import *
from .save_and_load import *
from .SlimResults import *
from .Specification import *
from .visualize_results import * | 31.875 | 38 | 0.815686 |
f5592d87345b5a481da2afaed4ea4665c57dc09d | 2,435 | py | Python | tools/blender/io_export_curve.py | waskosky/patches | f80a33eb6fd029b905aca55894ec7a7526b89042 | [
"MIT"
] | 187 | 2015-09-21T15:08:57.000Z | 2017-07-31T08:01:22.000Z | tools/blender/io_export_curve.py | waskosky/patches | f80a33eb6fd029b905aca55894ec7a7526b89042 | [
"MIT"
] | 1,533 | 2015-09-15T23:49:33.000Z | 2017-08-01T08:52:00.000Z | tools/blender/io_export_curve.py | waskosky/patches | f80a33eb6fd029b905aca55894ec7a7526b89042 | [
"MIT"
] | 52 | 2015-10-11T10:42:50.000Z | 2017-07-16T22:31:42.000Z | # Part of the Engi-WebGL suite.
from bpy.props import *
from bpy_extras.io_utils import ExportHelper
from mathutils import *
from functools import reduce
import os, sys, os.path, bpy, bmesh, math, struct, base64, itertools
bl_info = {
'name': 'Curve Export (.json)',
'author': 'Lasse Nielsen',
'version': (0, 2),
'... | 24.59596 | 85 | 0.657906 |
f5599fb599f6ac244f63777232a27937cf321454 | 2,678 | py | Python | organize/filters/mimetype.py | tank0226/organize | d5595a52f06ea6c805fe421dcc2429a3ccd03b09 | [
"MIT"
] | 1,231 | 2018-01-13T17:06:24.000Z | 2022-03-31T22:14:36.000Z | organize/filters/mimetype.py | tank0226/organize | d5595a52f06ea6c805fe421dcc2429a3ccd03b09 | [
"MIT"
] | 170 | 2018-03-13T19:15:17.000Z | 2022-03-31T10:14:15.000Z | organize/filters/mimetype.py | tank0226/organize | d5595a52f06ea6c805fe421dcc2429a3ccd03b09 | [
"MIT"
] | 86 | 2018-03-14T02:12:49.000Z | 2022-03-27T00:16:07.000Z | import mimetypes
from pathlib import Path
from organize.utils import DotDict, flatten
from .filter import Filter
| 26.514851 | 125 | 0.5295 |
f55a03a501c8713245dc76b3760e3ffdd100d23e | 1,857 | py | Python | third_party/conan/recipes/libprotobuf-mutator/conanfile.py | tufeigunchu/orbit | 407354cf7c9159ff7e3177c603a6850b95509e3a | [
"BSD-2-Clause"
] | 1,847 | 2020-03-24T19:01:42.000Z | 2022-03-31T13:18:57.000Z | third_party/conan/recipes/libprotobuf-mutator/conanfile.py | tufeigunchu/orbit | 407354cf7c9159ff7e3177c603a6850b95509e3a | [
"BSD-2-Clause"
] | 1,100 | 2020-03-24T19:41:13.000Z | 2022-03-31T14:27:09.000Z | third_party/conan/recipes/libprotobuf-mutator/conanfile.py | tufeigunchu/orbit | 407354cf7c9159ff7e3177c603a6850b95509e3a | [
"BSD-2-Clause"
] | 228 | 2020-03-25T05:32:08.000Z | 2022-03-31T11:27:39.000Z | from conans import ConanFile, CMake, tools
| 36.411765 | 82 | 0.622509 |
f55c8c9f40e1cf4319ff4ee1c9422d7c3883f725 | 524 | py | Python | animation/common.py | codyly/locomotion-by-mann | 89139466829ef7802bf645f865e335d4cda444e4 | [
"MIT"
] | null | null | null | animation/common.py | codyly/locomotion-by-mann | 89139466829ef7802bf645f865e335d4cda444e4 | [
"MIT"
] | null | null | null | animation/common.py | codyly/locomotion-by-mann | 89139466829ef7802bf645f865e335d4cda444e4 | [
"MIT"
] | null | null | null | import numpy as np
VEC_FORWARD = np.array([0, 0, 1])
VEC_UP = np.array([0, 1, 0])
VEC_RIGHT = np.array([1, 0, 0])
STYLE_NOMOVE = np.array([1, 0, 0, 0, 0, 0])
STYLE_TROT = np.array([0, 1, 0, 0, 0, 0])
STYLE_JUMP = np.array([0, 0, 1, 0, 0, 0])
STYLE_SIT = np.array([0, 0, 0, 1, 0, 0])
STYLE_STAND = np.array([0... | 23.818182 | 54 | 0.593511 |
f55da49181d53035411252526f6236de7beb9882 | 2,222 | py | Python | codes3d/build_gene_index.py | Genome3d/codes3d-v1 | fe4897cb07bd8b2c10cfc29defe8570d447b69e0 | [
"MIT"
] | null | null | null | codes3d/build_gene_index.py | Genome3d/codes3d-v1 | fe4897cb07bd8b2c10cfc29defe8570d447b69e0 | [
"MIT"
] | 4 | 2018-10-25T02:09:37.000Z | 2019-06-27T20:50:27.000Z | codes3d/build_gene_index.py | Genome3d/codes3d-v1 | fe4897cb07bd8b2c10cfc29defe8570d447b69e0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import argparse,codes3d,configparser, os
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Create a BED file detailing the locations of genes in the genome, and a database containing additional gene information. Note: If a file in .gtf format is supplied, no other arguments ... | 96.608696 | 246 | 0.756976 |
f55e3e29a41fea6104e2a766525f7a160ac34c13 | 5,900 | py | Python | Kinematic/forward.py | DDDong2666/tum-adlr-ws20-02 | 2e439886e0287777589cd276d614fd03bea4ed0c | [
"MIT"
] | null | null | null | Kinematic/forward.py | DDDong2666/tum-adlr-ws20-02 | 2e439886e0287777589cd276d614fd03bea4ed0c | [
"MIT"
] | null | null | null | Kinematic/forward.py | DDDong2666/tum-adlr-ws20-02 | 2e439886e0287777589cd276d614fd03bea4ed0c | [
"MIT"
] | null | null | null | import numpy as np
from Optimizer.path import get_x_substeps
from Kinematic import frames, chain as kc
# General
def frames2spheres(f, robot):
"""
x_spheres (n_samples, n_wp, n_links, n_dim)
"""
return frames2pos(f, frame_idx=robot.spheres_frame_idx, rel_pos=robot.spheres_position)
def frame... | 33.908046 | 132 | 0.597119 |
f560897ff46b99cf1a7890d1251f2fa26c8a2e3a | 977 | py | Python | dnslookup.py | r1nzler/dnslookup | 74613614b694602244582bfd555ffd8a5dea8bff | [
"MIT"
] | null | null | null | dnslookup.py | r1nzler/dnslookup | 74613614b694602244582bfd555ffd8a5dea8bff | [
"MIT"
] | null | null | null | dnslookup.py | r1nzler/dnslookup | 74613614b694602244582bfd555ffd8a5dea8bff | [
"MIT"
] | null | null | null | import dns.resolver
import dns.ipv4
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-l', "--list", help="List of dns names you want IP's for")
parser.add_argument('-o', "--output", help="Output file to save list")
args = parser.parse_args()
ip_list = [...]
subs = open(args.list, 'r', newline='... | 27.914286 | 79 | 0.518936 |
f5609c24bd958aa1dc8093dff8643942d2269130 | 8,416 | py | Python | eval/report.py | DBCobra/CobraBench | d48697248948decc206cfba0a6e40fea8a772ff9 | [
"MIT"
] | 1 | 2021-03-03T06:52:50.000Z | 2021-03-03T06:52:50.000Z | eval/report.py | DBCobra/CobraBench | d48697248948decc206cfba0a6e40fea8a772ff9 | [
"MIT"
] | 1 | 2021-03-05T09:36:50.000Z | 2021-03-08T12:02:53.000Z | eval/report.py | DBCobra/CobraBench | d48697248948decc206cfba0a6e40fea8a772ff9 | [
"MIT"
] | 1 | 2021-03-03T06:57:02.000Z | 2021-03-03T06:57:02.000Z | import pandas
import numpy as np
import math
import os
import sys
import re
from utils import *
DIR_PATH = os.path.dirname(os.path.realpath(__file__))
percentiles = [ 10, 25, 50, 75, 90, 95, 99, 99.9 ]
DATA_FOLDER = DIR_PATH + '/data'
if __name__ == "__main__":
main()
| 33.52988 | 110 | 0.557153 |
f560efe52fd0d8fc1e6638e6bf52578a71fd2927 | 1,821 | py | Python | platypush/backend/foursquare.py | RichardChiang/platypush | 1777ebb0516118cdef20046a92caab496fa7c6cb | [
"MIT"
] | 228 | 2018-01-30T11:17:09.000Z | 2022-03-24T11:22:26.000Z | platypush/backend/foursquare.py | RichardChiang/platypush | 1777ebb0516118cdef20046a92caab496fa7c6cb | [
"MIT"
] | 167 | 2017-12-11T19:35:38.000Z | 2022-03-27T14:45:30.000Z | platypush/backend/foursquare/__init__.py | BlackLight/runbullet | 8d26c8634d2677b4402f0a21b9ab8244b44640db | [
"MIT"
] | 16 | 2018-05-03T07:31:56.000Z | 2021-12-05T19:27:37.000Z | from typing import Optional
from platypush.backend import Backend
from platypush.context import get_plugin
from platypush.message.event.foursquare import FoursquareCheckinEvent
# vim:sw=4:ts=4:et:
| 34.358491 | 115 | 0.697968 |
f560ffe95556ccc11b3d6d39837b76f47f81ba08 | 2,980 | py | Python | src/data/make_dataset.py | karsti11/caffe_bar_sales_analysis | f7001bbf2d09c1ceeb8aef35322652a8495949ed | [
"MIT"
] | null | null | null | src/data/make_dataset.py | karsti11/caffe_bar_sales_analysis | f7001bbf2d09c1ceeb8aef35322652a8495949ed | [
"MIT"
] | null | null | null | src/data/make_dataset.py | karsti11/caffe_bar_sales_analysis | f7001bbf2d09c1ceeb8aef35322652a8495949ed | [
"MIT"
] | null | null | null | import os
import time
import pandas as pd
from src.utils import get_project_root
from src.data.item_names_replacement import REPLACE_DICT1, REPLACE_DICT1
YEARS = [str(x) for x in list(range(2013,2021))]
ROOT_DIR = get_project_root()
def load_data(data_abs_path: str) -> pd.DataFrame:
"""Load raw data
Par... | 40.27027 | 125 | 0.632215 |
f5617dd2284793a4d37b296ffc5aba3ca5a2e5d9 | 1,143 | py | Python | aiml_bot/utilities.py | hosford42/pyaiml | 42bb344d5f1d75c136e512bd05a44945d506f490 | [
"BSD-2-Clause"
] | 9 | 2017-08-17T08:34:44.000Z | 2021-01-06T16:08:09.000Z | aiml_bot/utilities.py | hosford42/pyaiml | 42bb344d5f1d75c136e512bd05a44945d506f490 | [
"BSD-2-Clause"
] | 2 | 2017-08-17T19:53:41.000Z | 2020-01-22T23:19:44.000Z | aiml_bot/utilities.py | hosford42/pyaiml | 42bb344d5f1d75c136e512bd05a44945d506f490 | [
"BSD-2-Clause"
] | 1 | 2018-07-29T19:16:14.000Z | 2018-07-29T19:16:14.000Z | """
This file contains assorted general utility functions used by other
modules in the aiml_bot package.
"""
# TODO: Correctly handle abbreviations.
def split_sentences(text: str) -> list:
"""Split the string s into a list of sentences."""
if not isinstance(text, str):
raise TypeError(text)
positi... | 29.307692 | 67 | 0.594051 |
f565e620ce2b4fec57d532c3907bb966211865f1 | 5,858 | py | Python | hard-gists/5181631/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/5181631/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/5181631/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | import os, time, random
from collections import defaultdict
from System import Console, ConsoleColor, ConsoleKey
from System.Threading import Thread, ThreadStart
if __name__ == "__main__":
screen = Screen(); logic = GameLogic(); stats = Stastics(); fruit = Fruit(); snake = Snake()
while snake.position_in_buffe... | 59.171717 | 177 | 0.669 |
f566d3437e302ac56089e454a2ea9560ed781683 | 14,376 | py | Python | dttpy/dttdata.py | neouniverse/dttpy | c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7 | [
"MIT"
] | null | null | null | dttpy/dttdata.py | neouniverse/dttpy | c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7 | [
"MIT"
] | null | null | null | dttpy/dttdata.py | neouniverse/dttpy | c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7 | [
"MIT"
] | null | null | null | #
#! coding:utf-8
import xml.etree.ElementTree as ET
from xml.etree import ElementTree
import base64
import binascii
import numpy as np
import matplotlib.pyplot as plt
from collections import OrderedDict
SubType = {'1':'ASD','2':'CSD','3':'TF','4':'???','5':'COH'}
average_type = {'0':'Fixed','1':'Exponential','2':'Ac... | 38.438503 | 81 | 0.483097 |
f56710ff85a90ed722496b29dbe8a6afdffc8f9d | 2,291 | py | Python | neural_structured_learning/tools/graph_builder.py | eustomaqua/neural-structured-learning | e63a9e7ef435caaf6d70c04b6529e830bf47239d | [
"Apache-2.0"
] | null | null | null | neural_structured_learning/tools/graph_builder.py | eustomaqua/neural-structured-learning | e63a9e7ef435caaf6d70c04b6529e830bf47239d | [
"Apache-2.0"
] | null | null | null | neural_structured_learning/tools/graph_builder.py | eustomaqua/neural-structured-learning | e63a9e7ef435caaf6d70c04b6529e830bf47239d | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.19403 | 80 | 0.717154 |
f56a3c3291794639e68ab580cfe7cfde7175ba0c | 11,672 | py | Python | main/dataset.py | MarcSerraPeralta/rec-flows | d05c3eca944f2228cffa575698ee5b010e83f167 | [
"MIT"
] | null | null | null | main/dataset.py | MarcSerraPeralta/rec-flows | d05c3eca944f2228cffa575698ee5b010e83f167 | [
"MIT"
] | null | null | null | main/dataset.py | MarcSerraPeralta/rec-flows | d05c3eca944f2228cffa575698ee5b010e83f167 | [
"MIT"
] | null | null | null | import torch
from torch.utils import data
import sys
from sklearn.utils import shuffle
import numpy as np
import argparse
import matplotlib.pyplot as plt
def get_PostSet(pcounts_name = "opt_pcounts", pcounts_path = "results/metadata",
pc_split=0.1, seed = 0,
metadata_name = "opt_tags", metadata_path = ... | 36.936709 | 199 | 0.706306 |
f56aef37015ae46f5772b8eb36d680a12e113fe7 | 892 | py | Python | back/LocationParser.py | DimaYurchenko/postdata-hackathon-app | f688491b27db991946fd104102a7912c1b104ea4 | [
"MIT"
] | null | null | null | back/LocationParser.py | DimaYurchenko/postdata-hackathon-app | f688491b27db991946fd104102a7912c1b104ea4 | [
"MIT"
] | null | null | null | back/LocationParser.py | DimaYurchenko/postdata-hackathon-app | f688491b27db991946fd104102a7912c1b104ea4 | [
"MIT"
] | null | null | null | import json
from typing import List
from LocationObject import LocationObject
# add geocoding for each location
| 27.030303 | 89 | 0.602018 |
f56b8e9802094da8814e591262fd9b96c9698428 | 736 | py | Python | data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | #!/usr/bin/env python3
#-*- codin:utf-8 -*-
'''
django + celery + redis
python manage.py migrate -- looks at the INSTALLED_APPS setting and creates any necessary database tables according to the database settings in your mysite/settings.py file and the database migrations shipped with the app
python manage.py runserv... | 33.454545 | 221 | 0.777174 |
f56b9c719e339cbfa0c390fd236dda0208636e27 | 7,786 | py | Python | nfp/servicos/controles/controle_execucao.py | FranciscoACLima/Robo_NFP_Selenium | 7702854f94355fee8d78a4c04fc134cf099db5f0 | [
"MIT"
] | null | null | null | nfp/servicos/controles/controle_execucao.py | FranciscoACLima/Robo_NFP_Selenium | 7702854f94355fee8d78a4c04fc134cf099db5f0 | [
"MIT"
] | 16 | 2020-09-05T16:03:40.000Z | 2022-03-19T17:42:05.000Z | nfp/servicos/controles/controle_execucao.py | FranciscoACLima/Robo_NFP_Selenium | 7702854f94355fee8d78a4c04fc134cf099db5f0 | [
"MIT"
] | null | null | null | import os
from datetime import datetime
from sqlalchemy.orm import sessionmaker
import nfp.servicos.model as tables
from nfp import CONEXAO
# ---------------- Funes de mdulo ------
def selecionar_ultima_tarefa_remota_finalizada(tarefa_remota_id):
ctrl = ControleExecucao()
ctrl.table_name = 'tarefas'
ctrl... | 32.041152 | 96 | 0.595171 |
f56c33ff6b67b94fb127b4ea54ac62ad0efe9506 | 2,458 | py | Python | artifactory/repository/repository.py | VeritasOS/py-artifactory | a54bde5cf31f02a1f836bb013ac17a78859b3370 | [
"Apache-2.0"
] | 6 | 2017-08-11T23:53:43.000Z | 2019-10-25T17:34:11.000Z | artifactory/repository/repository.py | VeritasOS/py-artifactory | a54bde5cf31f02a1f836bb013ac17a78859b3370 | [
"Apache-2.0"
] | 2 | 2019-05-07T01:36:08.000Z | 2021-03-31T18:40:11.000Z | artifactory/repository/repository.py | VeritasOS/py-artifactory | a54bde5cf31f02a1f836bb013ac17a78859b3370 | [
"Apache-2.0"
] | 2 | 2018-12-11T09:43:15.000Z | 2019-10-25T18:19:05.000Z | # -*- coding: utf-8 -*-
"""
Artifactory repository endpoint
"""
__copyright__ = "Copyright (C) 2016 Veritas Technologies LLC. All rights reserved."
# project imports
from ..http import HTTP
from .repotype import RepositoryType
from .virtual import Virtual
from .local import Local
from .remote import Remote
# define a... | 27.311111 | 83 | 0.579333 |
f56e6fbda99325c6509cd93be29f620a11819e74 | 2,887 | py | Python | app.py | PrismaPhonic/PetFinder-Exercise | a4d2c6293873299f9d6632158bca837a830fac98 | [
"MIT"
] | null | null | null | app.py | PrismaPhonic/PetFinder-Exercise | a4d2c6293873299f9d6632158bca837a830fac98 | [
"MIT"
] | null | null | null | app.py | PrismaPhonic/PetFinder-Exercise | a4d2c6293873299f9d6632158bca837a830fac98 | [
"MIT"
] | null | null | null | """Adoption application."""
from flask import Flask, request, redirect, render_template
from models import db, connect_db, Pets
from wtforms import StringField, IntegerField, TextAreaField, BooleanField
from wtforms.validators import DataRequired,InputRequired,AnyOf,URL, NumberRange
from flask_wtf import FlaskForm
fro... | 29.459184 | 114 | 0.66505 |
f56f1c7317138379cc46e4bc9738fe0615922706 | 17,810 | py | Python | pyrolite/util/resampling.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 69 | 2019-02-25T00:17:53.000Z | 2022-03-31T17:26:48.000Z | pyrolite/util/resampling.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 68 | 2018-07-20T09:01:01.000Z | 2022-03-31T16:28:36.000Z | pyrolite/util/resampling.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 24 | 2018-10-02T04:32:10.000Z | 2021-11-10T08:24:17.000Z | """
Utilities for (weighted) bootstrap resampling applied to geoscientific point-data.
"""
import numpy as np
import pandas as pd
from .meta import subkwargs
from .spatial import great_circle_distance, _get_sqare_grid_segment_indicies
from .log import Handle
logger = Handle(__name__)
try:
import sklea... | 40.022472 | 131 | 0.614935 |
f56fadc40b0f5bac091cf8c15f4a134f11cb883f | 49 | py | Python | sfrmaker/test/test_nhdplus_utils.py | mnfienen/sfrmaker | f3ee175c67c80df15bff509235d9a6218bfc6b0b | [
"CC0-1.0"
] | 17 | 2015-08-15T02:20:04.000Z | 2020-04-30T17:36:21.000Z | sfrmaker/test/test_nhdplus_utils.py | rfrederiksen/sfrmaker | 7e66d67d6cb0ad84fbb9994402f0baaf5b3fcd01 | [
"CC0-1.0"
] | 15 | 2015-03-04T16:57:13.000Z | 2020-01-14T16:29:18.000Z | sfrmaker/test/test_nhdplus_utils.py | rfrederiksen/sfrmaker | 7e66d67d6cb0ad84fbb9994402f0baaf5b3fcd01 | [
"CC0-1.0"
] | 9 | 2015-08-18T14:15:07.000Z | 2020-04-28T18:45:21.000Z | # TODO: add unit tests for test_nhdplus_utils.py
| 24.5 | 48 | 0.795918 |
f570043bcd7ec43faf876327124a5a21c6d01798 | 1,809 | py | Python | src/examples/stimuli-representation.py | cwardell97/learn-hippo-1 | 90280c614fb94aea82a60c2ed071db8068a37d5c | [
"MIT"
] | null | null | null | src/examples/stimuli-representation.py | cwardell97/learn-hippo-1 | 90280c614fb94aea82a60c2ed071db8068a37d5c | [
"MIT"
] | null | null | null | src/examples/stimuli-representation.py | cwardell97/learn-hippo-1 | 90280c614fb94aea82a60c2ed071db8068a37d5c | [
"MIT"
] | null | null | null | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from task import SequenceLearning
sns.set(style='white', palette='colorblind', context='poster')
np.random.seed(0)
'''how to use'''
# init
n_param, n_branch = 16, 4
pad_len = 0
n_parts = 2
n_samples = 256
p_rm_ob_enc = 0
p_rm_ob_rcl = 0
n_rm_fixe... | 28.265625 | 74 | 0.666667 |
f571719391b271f64aa33623e91452b85398b280 | 704 | py | Python | eventbusk/exceptions.py | Airbase/eventbusk | 704d50a4c9c1f7d332dba93ee04ab07afa59d216 | [
"BSD-3-Clause"
] | null | null | null | eventbusk/exceptions.py | Airbase/eventbusk | 704d50a4c9c1f7d332dba93ee04ab07afa59d216 | [
"BSD-3-Clause"
] | 1 | 2021-06-13T18:08:50.000Z | 2021-06-13T18:08:50.000Z | eventbusk/exceptions.py | Airbase/eventbusk | 704d50a4c9c1f7d332dba93ee04ab07afa59d216 | [
"BSD-3-Clause"
] | null | null | null | """
Custom exceptions
"""
from __future__ import annotations
__all__ = [
"AlreadyRegistered",
"ConsumerError",
"EventBusError",
"UnknownEvent",
]
| 16.761905 | 79 | 0.661932 |
f572b933b1b5aed70aca3d4ac6ade4a2e8fe1e58 | 9,580 | py | Python | sparse_ct/example/dgr_example.py | mozanunal/SparseCT | 97d7f06c0414f934c7fa36023adcf9fe4c071eaf | [
"MIT"
] | 11 | 2020-11-01T11:35:30.000Z | 2022-03-30T02:19:52.000Z | sparse_ct/example/dgr_example.py | mozanunal/SparseCT | 97d7f06c0414f934c7fa36023adcf9fe4c071eaf | [
"MIT"
] | 8 | 2020-12-13T12:17:38.000Z | 2021-12-21T21:04:27.000Z | sparse_ct/example/dgr_example.py | mozanunal/SparseCT | 97d7f06c0414f934c7fa36023adcf9fe4c071eaf | [
"MIT"
] | null | null | null |
from sparse_ct.tool import plot_grid
from sparse_ct.data import image_to_sparse_sinogram
from sparse_ct.reconstructor_2d import (
IRadonReconstructor,
SartReconstructor,
SartTVReconstructor,
DgrReconstructor,
SartBM3DReconstructor)
import logging
logging.basicConfig(
filename='dgr_example_32_... | 38.167331 | 93 | 0.423173 |
f5735cd931c6cb22e8fa362f8340421fcf372c3d | 1,340 | py | Python | backend/app/settings/globals.py | alldevic/base-fastapi-postgresql | 7e3a2916910155cd83b10cd7fec42eba7b1d3a95 | [
"MIT"
] | 3 | 2021-06-17T00:06:15.000Z | 2022-01-26T03:53:51.000Z | backend/app/settings/globals.py | alldevic/base-fastapi-postgresql | 7e3a2916910155cd83b10cd7fec42eba7b1d3a95 | [
"MIT"
] | null | null | null | backend/app/settings/globals.py | alldevic/base-fastapi-postgresql | 7e3a2916910155cd83b10cd7fec42eba7b1d3a95 | [
"MIT"
] | null | null | null | from pathlib import Path
from typing import Optional
from starlette.config import Config
from starlette.datastructures import CommaSeparatedStrings
from ..models.pydantic.database import DatabaseURL
p: Path = Path(__file__).parents[2] / ".env"
config: Config = Config(p if p.exists() else None)
DATABASE: str = confi... | 31.162791 | 72 | 0.750746 |
f5738865aace2f3446a95a35c7f51b460031ae67 | 1,607 | py | Python | 03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py | KrisBestTech/Python-Basics | 10bd961bf16d15ddb94bbea53327b4fc5bfdba4c | [
"MIT"
] | null | null | null | 03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py | KrisBestTech/Python-Basics | 10bd961bf16d15ddb94bbea53327b4fc5bfdba4c | [
"MIT"
] | null | null | null | 03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py | KrisBestTech/Python-Basics | 10bd961bf16d15ddb94bbea53327b4fc5bfdba4c | [
"MIT"
] | null | null | null | fruit = str(input())
day_of_the_week = str(input())
quantity = float(input())
price = 0
if fruit == 'banana' or \
fruit == 'apple' or \
fruit == 'orange' or \
fruit == 'grapefruit' or \
fruit == 'kiwi' or \
fruit == 'pineapple' or \
fruit == 'grapes':
if day_of_the_... | 21.716216 | 71 | 0.47542 |
f573e98c3617ee161a5bc2f46171d1b7f2905fc3 | 1,368 | py | Python | trajectories/tests/test_DTW.py | donsheehy/geomcps | b4ef5dbf0fed21927485b01580b724272f84d9ed | [
"MIT"
] | null | null | null | trajectories/tests/test_DTW.py | donsheehy/geomcps | b4ef5dbf0fed21927485b01580b724272f84d9ed | [
"MIT"
] | null | null | null | trajectories/tests/test_DTW.py | donsheehy/geomcps | b4ef5dbf0fed21927485b01580b724272f84d9ed | [
"MIT"
] | null | null | null | import unittest
from trajectories.dynamic_time_warper import *
from trajectories.trajectory import Trajectory
from trajectories.point import Point
if __name__ == '__main__':
unittest.main()
| 33.365854 | 93 | 0.54386 |
f57687a33470d7205bc87af05ce7973af384b2a0 | 235 | py | Python | 1103.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | 3 | 2021-09-21T18:50:20.000Z | 2021-12-14T13:07:31.000Z | 1103.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | null | null | null | 1103.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | null | null | null | while True:
h1,m1,h2,m2=map(int,input().split())
i=f=0
if m1+m2+h1+h2==0:break
if h1==0:i=(24*60)+m1
else:i=(h1*60)+m1
if h2==0:f=(24*60)+m2
else:f=(h2*60)+m2
print(f-i) if f>i else print((24*60)-(i-f))
| 23.5 | 47 | 0.52766 |
f578b94c9410c26b42768750abeeeeadcdf0cd8f | 4,820 | py | Python | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site_py | b69be83a11d9adafae664bf08e506273f541ff53 | [
"MIT"
] | null | null | null | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site_py | b69be83a11d9adafae664bf08e506273f541ff53 | [
"MIT"
] | 4 | 2020-02-11T23:47:01.000Z | 2021-06-10T21:12:36.000Z | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site_py | b69be83a11d9adafae664bf08e506273f541ff53 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.db.models import Count
from django.template import RequestContext
from django.views.decorators.csrf import csrf_exempt
from django.htt... | 41.551724 | 111 | 0.700415 |
f5792851b55e8b741f344366679574e04969bc93 | 1,022 | py | Python | backend/repositories/bookmark_repository.py | heshikirihasebe/fastapi-instagram-clone | 7bc265a62160171c5c5c1b2f18b3c86833cb64e7 | [
"MIT"
] | 1 | 2022-02-08T19:35:22.000Z | 2022-02-08T19:35:22.000Z | backend/repositories/bookmark_repository.py | heshikirihasebe/fastapi-instagram-clone | 7bc265a62160171c5c5c1b2f18b3c86833cb64e7 | [
"MIT"
] | null | null | null | backend/repositories/bookmark_repository.py | heshikirihasebe/fastapi-instagram-clone | 7bc265a62160171c5c5c1b2f18b3c86833cb64e7 | [
"MIT"
] | null | null | null | import datetime
from ..databases.postgresql import session
from ..models.bookmark_model import Bookmark
# Select one
# Insert
# Update
# Count by post id
| 31.9375 | 116 | 0.720157 |
f57b07d03e45e8f7fc9d99adb6fc72590a4d7edd | 3,326 | py | Python | D3_cgi/support/uman.py | slzjw26/learn_Pthon | 9c4053ec1ea4c32a01fa2658499d8e53a4a532f3 | [
"MIT"
] | null | null | null | D3_cgi/support/uman.py | slzjw26/learn_Pthon | 9c4053ec1ea4c32a01fa2658499d8e53a4a532f3 | [
"MIT"
] | null | null | null | D3_cgi/support/uman.py | slzjw26/learn_Pthon | 9c4053ec1ea4c32a01fa2658499d8e53a4a532f3 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
#
# User management application
#
"""
pythoncgi
1. (get)
2. (post)
3. (post)
4. (post)
1. REQUEST_METHOD getpost
2. QUERY_STRING
3. subprocess.getoutput, os.system shell
4.
grep ^root /etc/passwd
useradd user-name
usermod user-name
... | 27.262295 | 77 | 0.591401 |
f57b96c36aa134214c43fa41994f0ddf57c913f2 | 1,979 | py | Python | main.py | TheGreatRambler/blender-universal-exporter | 996191a787b36aa6ea007b82a36b9a752b9f50ee | [
"MIT"
] | 2 | 2018-10-11T17:34:51.000Z | 2021-04-26T20:51:45.000Z | main.py | TheGreatRambler/blender-universal-exporter | 996191a787b36aa6ea007b82a36b9a752b9f50ee | [
"MIT"
] | null | null | null | main.py | TheGreatRambler/blender-universal-exporter | 996191a787b36aa6ea007b82a36b9a752b9f50ee | [
"MIT"
] | null | null | null | bl_info = {
"name": "Universal Exporter",
"category": "Import & Export",
}
import bpy
if __name__ == "__main__":
register()
| 32.983333 | 69 | 0.458312 |
f57c524ea058c9eaac99f335f5d9b80e94762f25 | 2,024 | py | Python | chmm_files/chmm_gen.py | IvanTyulyandin/Lin_alg_Viterbi | 0359c33ed67f8748cd51e8852555ea2fa35b9365 | [
"Apache-2.0"
] | null | null | null | chmm_files/chmm_gen.py | IvanTyulyandin/Lin_alg_Viterbi | 0359c33ed67f8748cd51e8852555ea2fa35b9365 | [
"Apache-2.0"
] | null | null | null | chmm_files/chmm_gen.py | IvanTyulyandin/Lin_alg_Viterbi | 0359c33ed67f8748cd51e8852555ea2fa35b9365 | [
"Apache-2.0"
] | null | null | null | import random
# Parameters
states_num: int = 900
trans_per_state: int = 3
transitions_num: int = trans_per_state * states_num
num_non_zero_start_probs: int = 2
emit_range: int = 20
file_name: str = "random_" + \
str(states_num) + "_" + str(transitions_num) + "_" + \
str(emit_range) + "_" + str(num_non_zero_st... | 32.126984 | 77 | 0.64081 |
f57e7874385469f7089b57659f20f37fe7da9980 | 1,764 | py | Python | solutions/0409-longest-palindrome/longest-palindrome.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | solutions/0409-longest-palindrome/longest-palindrome.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | solutions/0409-longest-palindrome/longest-palindrome.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | # Given a string which consists of lowercase or uppercase letters, find the length of the longest palindromes that can be built with those letters.
#
# This is case sensitive, for example "Aa" is not considered a palindrome here.
#
# Note:
# Assume the length of given string will not exceed 1,010.
#
#
# Example:
... | 20.275862 | 148 | 0.616213 |
f57f22bf388fb4aa2a7b99663c5c1b62f0a9da4f | 108 | py | Python | getpaid/rest_framework/apps.py | wuuuduu/django-getpaid | d864de53bc947e2d1ab4f2d3879a803cab1216d3 | [
"MIT"
] | 6 | 2020-05-26T08:49:10.000Z | 2022-01-03T17:44:19.000Z | getpaid/rest_framework/apps.py | wuuuduu/django-getpaid | d864de53bc947e2d1ab4f2d3879a803cab1216d3 | [
"MIT"
] | null | null | null | getpaid/rest_framework/apps.py | wuuuduu/django-getpaid | d864de53bc947e2d1ab4f2d3879a803cab1216d3 | [
"MIT"
] | 1 | 2021-08-23T06:59:05.000Z | 2021-08-23T06:59:05.000Z | from django.apps import AppConfig
| 18 | 35 | 0.796296 |
f580e360a82ba7dad75ab77286f0111cf9d43ab3 | 392 | py | Python | new_server.py | 19bcs2410/flask_updated-web-chat | c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e | [
"MIT"
] | null | null | null | new_server.py | 19bcs2410/flask_updated-web-chat | c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e | [
"MIT"
] | null | null | null | new_server.py | 19bcs2410/flask_updated-web-chat | c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e | [
"MIT"
] | null | null | null | import socketio
import socketio
sio = socketio.Client()
sio.connect('http://localhost:5000')
sio.wait()
| 17.818182 | 57 | 0.660714 |
f582dcf3f1bc8baf921c638fcb41729df76ff930 | 2,042 | py | Python | ricecooker/utils/libstudio.py | elaeon/ricecooker | e5ef13478625b6996775ae7690e027140bc63373 | [
"MIT"
] | null | null | null | ricecooker/utils/libstudio.py | elaeon/ricecooker | e5ef13478625b6996775ae7690e027140bc63373 | [
"MIT"
] | 1 | 2019-04-20T07:14:04.000Z | 2019-04-20T07:14:04.000Z | ricecooker/utils/libstudio.py | nucleogenesis/ricecooker | 7525f842e34f5bbb37d1f2d3c85872faa32724ff | [
"MIT"
] | null | null | null | import requests
import requests_cache
requests_cache.install_cache()
from ricecooker.config import LOGGER
STUDIO_URL = 'https://studio.learningequality.org'
NODES_ENDPOINT = STUDIO_URL + '/api/get_nodes_by_ids_complete/'
LICENSES_LIST_ENDPOINT = STUDIO_URL + '/api/license'
# TODO https://studio.learningequa... | 37.127273 | 94 | 0.664055 |
f583aafa3eab4133dcbce8cce69eba93bfd77474 | 2,163 | py | Python | Python/kruskal.py | AtilioA/algoritmos-teoria-dos-grafos | 287234d9d4c5c16707dfe71629f5c237e1759826 | [
"Unlicense"
] | 2 | 2020-05-14T14:12:45.000Z | 2020-09-07T20:44:23.000Z | Python/kruskal.py | AtilioA/teoria-dos-grafos | 287234d9d4c5c16707dfe71629f5c237e1759826 | [
"Unlicense"
] | null | null | null | Python/kruskal.py | AtilioA/teoria-dos-grafos | 287234d9d4c5c16707dfe71629f5c237e1759826 | [
"Unlicense"
] | null | null | null | # Supostamente no funciona
from aresta import Aresta
from insert import insert_sort
from collections import defaultdict
if __name__ == "__main__":
arestas = list()
# arestas.append(Aresta(1, 'a', 'b'))
# arestas.append(Aresta(8, 'a', 'c'))
# arestas.append(Aresta(3, 'c', 'b'))
# arestas.append(Ar... | 33.796875 | 90 | 0.609801 |
f58515c1c70e7d555b4680ca39bcd04616159789 | 1,983 | py | Python | metodoDePaulo.py | paulossa/MSN | e80b4b82ae865ea50f69619712f7e73dc1eac95d | [
"MIT"
] | null | null | null | metodoDePaulo.py | paulossa/MSN | e80b4b82ae865ea50f69619712f7e73dc1eac95d | [
"MIT"
] | null | null | null | metodoDePaulo.py | paulossa/MSN | e80b4b82ae865ea50f69619712f7e73dc1eac95d | [
"MIT"
] | null | null | null | # coding: utf-8
import sys
__author__ = "Paulo Srgio dos Santos Araujo"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "paulo.araujo [at] splab.ufcg.edu.br"
if __name__ == "__main__":
msn = Msn(eq="-x**2 + 3", tol=0.01, alg="false_position")
msn.findRoots(-2, 3) # -1.7320508075688774 e 1.73205080756887... | 36.054545 | 122 | 0.534039 |
f585cb72a0db164994f5a14aac9910a31f98b2a9 | 1,096 | py | Python | unit1/data-types.py | mmunozz/merit-notes | 66c04939eb2aa9f63efe4ef947c291aafbc1ce0a | [
"MIT"
] | null | null | null | unit1/data-types.py | mmunozz/merit-notes | 66c04939eb2aa9f63efe4ef947c291aafbc1ce0a | [
"MIT"
] | null | null | null | unit1/data-types.py | mmunozz/merit-notes | 66c04939eb2aa9f63efe4ef947c291aafbc1ce0a | [
"MIT"
] | null | null | null | """
Project: Data Types Notes
Author: Mr. Buckley
Last update: 8/25/2018
Description: Goes over comments, int, float, str, and type casting
"""
# *** COMMENTS ***
# This is a comment (with a "#")
# Comments are only for the user's eyes, the program doesn't read them.
# Describe what sections of code do with... | 20.296296 | 71 | 0.671533 |
f5869e041f8cfc604cdaeae8bc529488e18f09e4 | 3,812 | py | Python | zarr-dataset/test_anime_faces.py | tinon224/experiments | cbe066fb9eec20f290eaff5bb19131616af61bee | [
"MIT"
] | 103 | 2015-03-28T14:32:44.000Z | 2021-03-31T08:20:24.000Z | zarr-dataset/test_anime_faces.py | tinon224/experiments | cbe066fb9eec20f290eaff5bb19131616af61bee | [
"MIT"
] | 6 | 2016-05-17T13:31:56.000Z | 2020-11-13T17:19:19.000Z | zarr-dataset/test_anime_faces.py | tinon224/experiments | cbe066fb9eec20f290eaff5bb19131616af61bee | [
"MIT"
] | 106 | 2015-05-10T14:29:06.000Z | 2021-07-13T08:19:19.000Z | import os
import zarr
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torch.utils.data import Dataset
from tqdm import tqdm, trange
def main(batch_size=64, epochs=50):
data_train = FaceDataset('data/anime_faces/train.lmdb')
device = torch.devi... | 33.147826 | 88 | 0.597587 |
f586db857714c3a406cc8d011335a90b361a86d4 | 1,066 | py | Python | pepper/spiders/pepper.py | Guilehm/dr-pepper-crawler | 0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2 | [
"MIT"
] | null | null | null | pepper/spiders/pepper.py | Guilehm/dr-pepper-crawler | 0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2 | [
"MIT"
] | 2 | 2021-03-31T19:47:28.000Z | 2021-06-08T20:39:41.000Z | pepper/spiders/pepper.py | Guilehm/dr-pepper-crawler | 0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2 | [
"MIT"
] | null | null | null | import os
import scrapy
from pepper.items import PepperItem
| 28.052632 | 93 | 0.541276 |
f5885ba233a8e2203989f8de45355db074bbea32 | 4,334 | py | Python | spotseeker_server/test/search/uw_noise_level.py | uw-it-aca/spotseeker_server | 1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c | [
"Apache-2.0"
] | 5 | 2015-03-12T00:36:33.000Z | 2022-02-24T16:41:25.000Z | spotseeker_server/test/search/uw_noise_level.py | uw-it-aca/spotseeker_server | 1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c | [
"Apache-2.0"
] | 133 | 2016-02-03T23:54:45.000Z | 2022-03-30T21:33:58.000Z | spotseeker_server/test/search/uw_noise_level.py | uw-it-aca/spotseeker_server | 1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c | [
"Apache-2.0"
] | 6 | 2015-01-07T23:21:15.000Z | 2017-12-07T08:26:33.000Z | # Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from django.test import TestCase
from django.test.client import Client
from django.test.utils import override_settings
import simplejson as json
from spotseeker_server.models import Spot, SpotExtendedInfo
from spotseeker_server.org_... | 42.910891 | 79 | 0.682972 |
f58a63fcbad7aec0c720d44005782e265c314a57 | 17 | py | Python | inventoryanalytics/simulation/deterministic/__init__.py | vishalbelsare/inventoryanalytics | 85feff8f1abaf2c29414e066eed096ac3a74973b | [
"MIT"
] | 7 | 2018-06-17T02:45:33.000Z | 2021-06-11T09:13:06.000Z | inventoryanalytics/simulation/deterministic/__init__.py | vishalbelsare/inventoryanalytics | 85feff8f1abaf2c29414e066eed096ac3a74973b | [
"MIT"
] | 1 | 2021-02-07T03:33:22.000Z | 2021-06-02T21:11:59.000Z | inventoryanalytics/simulation/deterministic/__init__.py | vishalbelsare/inventoryanalytics | 85feff8f1abaf2c29414e066eed096ac3a74973b | [
"MIT"
] | 7 | 2018-07-14T19:45:43.000Z | 2021-10-12T09:45:04.000Z | __all__ = ["des"] | 17 | 17 | 0.588235 |
f58b58dad3bb3dc21147ea1fd781e8e5e4ef8b49 | 185 | py | Python | spotdl/metadata/providers/__init__.py | khjxiaogu/spotify-downloader | a8dcb8d998da0769bbe210f2808d16b346453c23 | [
"MIT"
] | 4,698 | 2017-06-20T22:37:10.000Z | 2022-03-28T13:38:07.000Z | spotdl/metadata/providers/__init__.py | Delgan/spotify-downloader | 8adf3e8d6b98269b1538dd91c9a44ed345c77545 | [
"MIT"
] | 690 | 2017-06-20T20:08:42.000Z | 2022-02-26T23:36:07.000Z | spotdl/metadata/providers/__init__.py | Delgan/spotify-downloader | 8adf3e8d6b98269b1538dd91c9a44ed345c77545 | [
"MIT"
] | 741 | 2017-06-21T23:32:51.000Z | 2022-03-07T12:11:54.000Z | from spotdl.metadata.providers.spotify import ProviderSpotify
from spotdl.metadata.providers.youtube import ProviderYouTube
from spotdl.metadata.providers.youtube import YouTubeSearch
| 37 | 61 | 0.881081 |
f58db2e3a8108081fdad6ca36c2b07a1f84d614d | 1,476 | py | Python | _03_AttributesAndMethodsLab/_02_Integer.py | Andrey-V-Georgiev/PythonOOP | 73aabdccace5ce7183c39e2f5674f7e17475b1cc | [
"MIT"
] | 1 | 2021-06-30T10:34:38.000Z | 2021-06-30T10:34:38.000Z | _03_AttributesAndMethodsLab/_02_Integer.py | Andrey-V-Georgiev/PythonOOP | 73aabdccace5ce7183c39e2f5674f7e17475b1cc | [
"MIT"
] | null | null | null | _03_AttributesAndMethodsLab/_02_Integer.py | Andrey-V-Georgiev/PythonOOP | 73aabdccace5ce7183c39e2f5674f7e17475b1cc | [
"MIT"
] | null | null | null | from math import floor
first_num = Integer(10)
second_num = Integer.from_roman("IV")
print(Integer.from_float("2.6"))
print(Integer.from_string(2.6))
print(first_num.add(second_num))
| 25.448276 | 89 | 0.554201 |
f58e292660fbb4b40d7f4326ad34ea03b891aa42 | 324 | py | Python | app/app/schemas/token.py | Tall-Programacion-FIME/backend | 95b6934fd57086ffc2be3d9135732df3d240f694 | [
"Apache-2.0"
] | null | null | null | app/app/schemas/token.py | Tall-Programacion-FIME/backend | 95b6934fd57086ffc2be3d9135732df3d240f694 | [
"Apache-2.0"
] | 13 | 2021-03-04T22:59:54.000Z | 2021-05-16T23:24:22.000Z | app/app/schemas/token.py | Tall-Programacion-FIME/backend | 95b6934fd57086ffc2be3d9135732df3d240f694 | [
"Apache-2.0"
] | 1 | 2021-04-20T14:51:43.000Z | 2021-04-20T14:51:43.000Z | import datetime
from typing import Optional
from pydantic import BaseModel
| 14.727273 | 35 | 0.753086 |
f58e82435946520f98ad569c02443f0eda8332d6 | 1,988 | py | Python | bot/finance.py | kianhean/ShiokBot | 948417ead579d7476350592f0a960c2c0ea8b757 | [
"BSD-2-Clause"
] | 6 | 2017-04-06T02:55:16.000Z | 2020-01-27T05:14:12.000Z | bot/finance.py | kianhean/ShiokBot | 948417ead579d7476350592f0a960c2c0ea8b757 | [
"BSD-2-Clause"
] | 13 | 2016-09-12T14:24:22.000Z | 2021-10-22T01:19:43.000Z | bot/finance.py | kianhean/ShiokBot | 948417ead579d7476350592f0a960c2c0ea8b757 | [
"BSD-2-Clause"
] | 1 | 2016-09-12T14:01:49.000Z | 2016-09-12T14:01:49.000Z |
import json
from urllib.request import urlopen
import requests
from bs4 import BeautifulSoup
| 33.694915 | 153 | 0.639336 |
f5915199b7c0be4872a450c1503f4eb928f9e20f | 637 | py | Python | dependencyinjection/internal/callsite_resolvers.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | dependencyinjection/internal/callsite_resolvers.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | dependencyinjection/internal/callsite_resolvers.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2017~2999 - cologler <skyoflw@gmail.com>
# ----------
#
# ----------
from .common import LifeTime, IServiceProvider, ICallSiteResolver
from .descriptors import CallableDescriptor
| 33.526316 | 98 | 0.726845 |
f5931d77f9a036d1b90d5e9b889749394d2eff5e | 1,124 | py | Python | pipeline/filterstories.py | Xirider/BookGen | 6eaffa936aea3215944dbfbf7ec92398b6e44587 | [
"MIT"
] | 1 | 2021-05-31T09:40:19.000Z | 2021-05-31T09:40:19.000Z | pipeline/filterstories.py | Xirider/BookGen | 6eaffa936aea3215944dbfbf7ec92398b6e44587 | [
"MIT"
] | 1 | 2021-06-30T14:35:22.000Z | 2021-06-30T14:35:22.000Z | pipeline/filterstories.py | Xirider/BookGen | 6eaffa936aea3215944dbfbf7ec92398b6e44587 | [
"MIT"
] | null | null | null | from joblib import Memory
cachedir = "cache"
memory = Memory(cachedir, verbose=10)
# @memory.cache | 25.545455 | 102 | 0.572954 |
f5936c772afa998f17b6206beacedcb9d549bb50 | 2,167 | py | Python | GoAround/goaround.py | AJunque9/GoAround | 1f432a6a80e057e818e2c2073d3bafebba49de48 | [
"MIT"
] | 6 | 2021-10-03T10:42:59.000Z | 2022-01-05T05:25:57.000Z | GoAround/goaround.py | AJunque9/GoAround | 1f432a6a80e057e818e2c2073d3bafebba49de48 | [
"MIT"
] | null | null | null | GoAround/goaround.py | AJunque9/GoAround | 1f432a6a80e057e818e2c2073d3bafebba49de48 | [
"MIT"
] | 1 | 2021-10-13T08:38:58.000Z | 2021-10-13T08:38:58.000Z | import sys
import helpers.printer
import helpers.parser
import helpers.config
import program.obfuscation
import program.bypass
modes = helpers.config.Modes
bypass_methods = helpers.config.BypassMethods
obfuscation_methods = helpers.config.ObfuscationMethods
printer = helpers.printer.Printer()
parser = helpers.parser.... | 29.283784 | 103 | 0.616059 |
f594558a69e840af8885fc68a994d40b44b65eaf | 1,169 | py | Python | src/data/CIFAR10_utils.py | namanwahi/Transfer-Learning | 93b9f664fd727a93e0b09b859a20d863602ec743 | [
"MIT"
] | null | null | null | src/data/CIFAR10_utils.py | namanwahi/Transfer-Learning | 93b9f664fd727a93e0b09b859a20d863602ec743 | [
"MIT"
] | null | null | null | src/data/CIFAR10_utils.py | namanwahi/Transfer-Learning | 93b9f664fd727a93e0b09b859a20d863602ec743 | [
"MIT"
] | null | null | null | import torch
import torchvision
import torchvision.transforms as transforms
from torch.utils.data.sampler import SubsetRandomSampler
from torch.utils.data import DataLoader
import os
path = os.path.abspath(__file__)
dir_path = os.path.dirname(path)
resnet_18_default = 224
| 33.4 | 107 | 0.718563 |
f5970041908938ed814405d6c8377946dc2070bf | 3,680 | py | Python | SVHN/svhn.py | Tenant/Densenet-Tensorflow | 27dca5a3f1a18ae070a8a6387c8a36b2a4be197e | [
"MIT"
] | null | null | null | SVHN/svhn.py | Tenant/Densenet-Tensorflow | 27dca5a3f1a18ae070a8a6387c8a36b2a4be197e | [
"MIT"
] | null | null | null | SVHN/svhn.py | Tenant/Densenet-Tensorflow | 27dca5a3f1a18ae070a8a6387c8a36b2a4be197e | [
"MIT"
] | null | null | null | from scipy import io
import numpy as np
import random
import tensorflow as tf
class_num = 10
image_size = 32
img_channels = 3
| 32.857143 | 108 | 0.6 |
f59759138fa73fcc525ff95be2e388e6c99396f6 | 530 | py | Python | app/models/user.py | johnshumon/fastapi-boilerplate | f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc | [
"MIT"
] | null | null | null | app/models/user.py | johnshumon/fastapi-boilerplate | f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc | [
"MIT"
] | null | null | null | app/models/user.py | johnshumon/fastapi-boilerplate | f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc | [
"MIT"
] | null | null | null | """
User models module
"""
from sqlalchemy import Column, Integer, String
from app.models import Base
| 27.894737 | 79 | 0.696226 |
f5987f75714e27b31f8445c59b2b8df50b29383c | 782 | py | Python | oops_fhir/r4/value_set/parent_relationship_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/parent_relationship_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/parent_relationship_codes.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
from oops_fhir.r4.code_system.v3_role_code import v3RoleCode
__all__ = ["ParentRelationshipCodes"]
_resource = _ValueSet.parse_file(Path(__file__).with_suffix(".json"))
| 23 | 76 | 0.751918 |
f59c2ee308a2569240f5244e69e497fec60a9ffe | 253 | py | Python | setting.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 688 | 2020-12-02T18:02:21.000Z | 2022-03-31T09:56:14.000Z | setting.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 29 | 2020-12-03T00:21:25.000Z | 2021-12-04T22:32:42.000Z | setting.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 88 | 2020-12-03T00:13:29.000Z | 2022-03-26T16:03:38.000Z | counter = 0
interpolations = None
padding = None
| 15.8125 | 56 | 0.679842 |
f59da655c4bae4aa2a9b07d54d040a1c00439910 | 1,540 | py | Python | bgjobs/plugins.py | holtgrewe/sodar_core | 116c5c8abc1dea483a640ba68af6d5cf4d27c8d7 | [
"MIT"
] | null | null | null | bgjobs/plugins.py | holtgrewe/sodar_core | 116c5c8abc1dea483a640ba68af6d5cf4d27c8d7 | [
"MIT"
] | null | null | null | bgjobs/plugins.py | holtgrewe/sodar_core | 116c5c8abc1dea483a640ba68af6d5cf4d27c8d7 | [
"MIT"
] | null | null | null | """Code related to ``django-plugins``.
First, it creates a ``ProjectAppPluginPoint`` for the ``bgjobs`` app.
Second, it creates a new plugin point for the registering ``BackgroundJob``
specializations.
"""
from djangoplugins.point import PluginPoint
from projectroles.plugins import ProjectAppPluginPoint
from .urls ... | 26.551724 | 77 | 0.718831 |
f5a27b850295f14cce9d9e2cff15b6524fbbecf8 | 4,562 | py | Python | cogs/automod.py | ZeroTwo36/midna | f78591baacdd32386d9155cb7728de7384016361 | [
"MIT"
] | 1 | 2022-01-18T09:53:34.000Z | 2022-01-18T09:53:34.000Z | cogs/automod.py | ZeroTwo36/midna | f78591baacdd32386d9155cb7728de7384016361 | [
"MIT"
] | null | null | null | cogs/automod.py | ZeroTwo36/midna | f78591baacdd32386d9155cb7728de7384016361 | [
"MIT"
] | null | null | null | import discord as nextcord
import asyncio
from discord.ext import commands
import json
import time
import typing
| 38.016667 | 153 | 0.622534 |
f5a40afb92b821bdbd1bca8cea58ac0b9702d2e6 | 960 | py | Python | task07.py | G00387867/pands-problems | 01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c | [
"MIT"
] | null | null | null | task07.py | G00387867/pands-problems | 01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c | [
"MIT"
] | null | null | null | task07.py | G00387867/pands-problems | 01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c | [
"MIT"
] | null | null | null | # Adam
# A program that reads in a text
# file and outputs the number of e's it contains
# The program takes the filename from
# an argument on the command line.
# I found information on this website:
# https://www.sanfoundry.com/python-program-read-file-counts-number/
#fname = input("Enter file name: ")
#l = input(... | 20.869565 | 68 | 0.558333 |
f5a59287ceaf7b3b0006e335abd2aae06f9ad302 | 3,936 | py | Python | texext/tests/test_tinypages.py | effigies/texext | 545ecf3715ab43bfb95859861fbb17af1fef512d | [
"BSD-2-Clause"
] | null | null | null | texext/tests/test_tinypages.py | effigies/texext | 545ecf3715ab43bfb95859861fbb17af1fef512d | [
"BSD-2-Clause"
] | null | null | null | texext/tests/test_tinypages.py | effigies/texext | 545ecf3715ab43bfb95859861fbb17af1fef512d | [
"BSD-2-Clause"
] | null | null | null | """ Tests for tinypages build using sphinx extensions """
from os.path import (join as pjoin, dirname, isdir)
import sphinx
SPHINX_ge_1p5 = sphinx.version_info[:2] >= (1, 5)
from sphinxtesters import PageBuilder
HERE = dirname(__file__)
PAGES = pjoin(HERE, 'tinypages')
from texext.tests.test_plotdirective import f... | 37.485714 | 71 | 0.54497 |
f5a8efb033fff75dd7f358a028f0ce20386e8ec9 | 3,708 | py | Python | core.py | marcolcl/django-toolkit | f425cccb6f55f3afce4326e7e79770e5c36c9646 | [
"MIT"
] | 1 | 2021-04-07T14:25:01.000Z | 2021-04-07T14:25:01.000Z | core.py | marcolcl/django-toolkit | f425cccb6f55f3afce4326e7e79770e5c36c9646 | [
"MIT"
] | 5 | 2021-03-30T14:08:53.000Z | 2021-09-22T19:29:42.000Z | core.py | marcolcl/django-toolkit | f425cccb6f55f3afce4326e7e79770e5c36c9646 | [
"MIT"
] | null | null | null | import logging
from django.core.exceptions import ObjectDoesNotExist
from django.db import transaction
from django.http import HttpRequest
from rest_framework.exceptions import NotFound
from rest_framework.test import APIRequestFactory
from rest_framework.views import exception_handler, APIView
from typing import List,... | 33.107143 | 128 | 0.702805 |
f5aa196ccf6037cd4fcdad669c9f9252c8778f6e | 436 | py | Python | atcoder/past/past201912_f.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | 1 | 2018-11-12T15:18:55.000Z | 2018-11-12T15:18:55.000Z | atcoder/past/past201912_f.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | null | null | null | atcoder/past/past201912_f.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | null | null | null | S = input()
arr = []
now = []
counter = 0
for s in S:
now.append(s.lower())
if s.isupper():
if counter == 0:
counter += 1
else:
arr.append(''.join(now))
now = []
counter = 0
arr.sort()
for word in arr:
for i, s in enumerate(word):
if i ... | 19.818182 | 40 | 0.428899 |
f5aa1cc085abe91e5e9d7da0530662e853080933 | 738 | py | Python | lesson13n2/states/out.py | muzudho/py-state-machine-practice | e31c066f4cf142b6b6c5ff273b56a0f89428c59e | [
"MIT"
] | null | null | null | lesson13n2/states/out.py | muzudho/py-state-machine-practice | e31c066f4cf142b6b6c5ff273b56a0f89428c59e | [
"MIT"
] | null | null | null | lesson13n2/states/out.py | muzudho/py-state-machine-practice | e31c066f4cf142b6b6c5ff273b56a0f89428c59e | [
"MIT"
] | null | null | null | from lesson12_projects.house3.data.const import E_TURNED_KNOB, MSG_TURN_KNOB, E_FAILED
| 21.085714 | 86 | 0.585366 |
190f3d0f2aa0d41a590c2d4d36fe77e3833762f3 | 2,171 | py | Python | setup.py | biodatageeks/pysequila | 2fb3b83f008e6b7f874648ea02e7ca307d8519d3 | [
"Apache-2.0"
] | 1 | 2020-10-14T23:02:04.000Z | 2020-10-14T23:02:04.000Z | setup.py | biodatageeks/pysequila | 2fb3b83f008e6b7f874648ea02e7ca307d8519d3 | [
"Apache-2.0"
] | 9 | 2020-11-07T23:33:28.000Z | 2021-12-13T09:22:07.000Z | setup.py | biodatageeks/pysequila | 2fb3b83f008e6b7f874648ea02e7ca307d8519d3 | [
"Apache-2.0"
] | 1 | 2020-11-07T22:35:40.000Z | 2020-11-07T22:35:40.000Z | # -*- coding: utf-8 -*-
"""setup.py"""
import os
import sys
from setuptools import setup
from setuptools.command.test import test as TestCommand
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming L... | 28.194805 | 76 | 0.64947 |
1910c0a5070edd02fb3f35021e3104c2486a91bb | 2,266 | py | Python | binaryblob.py | rikusalminen/trimuncher | bdf534fdf382c750e0ec7a6031433de88014e656 | [
"Zlib"
] | 1 | 2018-11-06T05:11:08.000Z | 2018-11-06T05:11:08.000Z | binaryblob.py | rikusalminen/trimuncher | bdf534fdf382c750e0ec7a6031433de88014e656 | [
"Zlib"
] | null | null | null | binaryblob.py | rikusalminen/trimuncher | bdf534fdf382c750e0ec7a6031433de88014e656 | [
"Zlib"
] | null | null | null | from sys import stdin, stdout
from struct import pack, unpack
def blob_vertex_write(attrs, verts, out=stdout, little_endian = True):
for blob in blob_vertices(attrs, verts, little_endian):
out.write(blob)
| 35.40625 | 91 | 0.621359 |
1910e99d0b7143a24de2db38d697e59e51df210d | 2,234 | py | Python | lib/piservices/remote/integration.py | creative-workflow/pi-setup | d6d28cb8d34ef71b1e8ac95dd94099bfad08837a | [
"MIT"
] | 1 | 2020-04-25T00:55:45.000Z | 2020-04-25T00:55:45.000Z | lib/piservices/remote/integration.py | creative-workflow/pi-setup | d6d28cb8d34ef71b1e8ac95dd94099bfad08837a | [
"MIT"
] | 4 | 2015-05-28T23:20:13.000Z | 2015-05-28T23:24:01.000Z | lib/piservices/remote/integration.py | creative-workflow/pi-setup | d6d28cb8d34ef71b1e8ac95dd94099bfad08837a | [
"MIT"
] | null | null | null | from config import *
from template import *
from dictasobject import DictAsObject
| 39.192982 | 83 | 0.656222 |
191159a3e3b8327371261a5ae76fdabd0024bab8 | 4,400 | py | Python | src/architecture/cartpole_target.py | ginevracoal/adversarialGAN | 7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e | [
"CC-BY-4.0"
] | 1 | 2020-12-15T03:03:47.000Z | 2020-12-15T03:03:47.000Z | src/architecture/cartpole_target.py | ginevracoal/adversarialGAN | 7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e | [
"CC-BY-4.0"
] | null | null | null | src/architecture/cartpole_target.py | ginevracoal/adversarialGAN | 7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e | [
"CC-BY-4.0"
] | 1 | 2020-11-05T09:35:11.000Z | 2020-11-05T09:35:11.000Z | import os
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
import matplotlib.pyplot as plt
import architecture.default
from architecture.default import Defender
DEBUG=False
BATCH_SIZE=32
FIXED_POLICY=False
NORMALIZE=False
K=10
PENAL... | 30.769231 | 114 | 0.606136 |
1911d18a99f00abe9dd822c30eace393500445cb | 7,785 | py | Python | tictactoe.py | smrsassa/tic-tac-toe-pygame | 36f738fb94a3a138ef2aa21d409558e3d1680526 | [
"MIT"
] | 1 | 2019-10-21T18:19:12.000Z | 2019-10-21T18:19:12.000Z | tictactoe.py | smrsassa/tic-tac-toe-pygame | 36f738fb94a3a138ef2aa21d409558e3d1680526 | [
"MIT"
] | null | null | null | tictactoe.py | smrsassa/tic-tac-toe-pygame | 36f738fb94a3a138ef2aa21d409558e3d1680526 | [
"MIT"
] | null | null | null | import pygame
import random
from time import sleep
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
green = (0, 255, 0)
blue = (0, 0, 255)
pygame.init()
largura = 320
altura = 320
fundo = pygame.display.set_mode((largura, altura))
pygame.display.set_caption("TicTacToe")
game = True
fimdejogo = False
eve... | 31.26506 | 116 | 0.491715 |
19128f435521b2a41c0130fc202af247adfc091d | 2,332 | py | Python | src/plugins/notice.py | napalmpiri/irkotr0id | 8125c0119038ddccdf6f0a587fa9eb4a0f66821d | [
"Beerware"
] | 7 | 2017-10-30T17:12:51.000Z | 2021-03-03T23:00:35.000Z | src/plugins/notice.py | napalmpiri/irkotr0id | 8125c0119038ddccdf6f0a587fa9eb4a0f66821d | [
"Beerware"
] | 1 | 2017-09-20T13:34:56.000Z | 2017-09-20T13:34:56.000Z | src/plugins/notice.py | napalmpiri/irkotr0id | 8125c0119038ddccdf6f0a587fa9eb4a0f66821d | [
"Beerware"
] | 7 | 2017-09-16T10:39:20.000Z | 2018-02-28T19:43:57.000Z | #/usr/bin/env python
# -*- coding: Utf8 -*-
import event
| 33.797101 | 80 | 0.51458 |
191359000d3e32159cc42150dd476b64da855e66 | 5,794 | py | Python | pyec/distribution/bayes/parser.py | hypernicon/pyec | 7072835c97d476fc45ffc3b34f5c3ec607988e6d | [
"MIT"
] | 2 | 2015-03-16T21:18:27.000Z | 2017-10-09T19:59:24.000Z | pyec/distribution/bayes/parser.py | hypernicon/pyec | 7072835c97d476fc45ffc3b34f5c3ec607988e6d | [
"MIT"
] | null | null | null | pyec/distribution/bayes/parser.py | hypernicon/pyec | 7072835c97d476fc45ffc3b34f5c3ec607988e6d | [
"MIT"
] | null | null | null | """
Copyright (C) 2012 Alan J Lockett
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, distribute,... | 43.893939 | 460 | 0.576458 |
1916221a240fca8e366955bf9b55225db064e9c4 | 169 | py | Python | Desafio25.py | sergioboff/Desafios-Curso-em-Video | f876396635b12c00bdd9523758364bbebfd70ae0 | [
"MIT"
] | null | null | null | Desafio25.py | sergioboff/Desafios-Curso-em-Video | f876396635b12c00bdd9523758364bbebfd70ae0 | [
"MIT"
] | null | null | null | Desafio25.py | sergioboff/Desafios-Curso-em-Video | f876396635b12c00bdd9523758364bbebfd70ae0 | [
"MIT"
] | null | null | null | nome = str(input('Digite seu nome completo: ')).strip()
if 'silva' in nome.lower():
print('Sim, seu nome tem Silva.')
else:
print('No , seu nome no tem Silva') | 33.8 | 55 | 0.64497 |
19179562beab192ca5fca3ff7c055101546a8163 | 1,527 | py | Python | migrations/versions/8b664608a7c7_.py | wangyuan02605/webcloud | e57a2713125b751ee8bb8da29b789e2044e789aa | [
"MIT"
] | 5 | 2021-12-13T14:52:08.000Z | 2022-03-15T08:59:32.000Z | migrations/versions/8b664608a7c7_.py | wangyuan02605/webcloud | e57a2713125b751ee8bb8da29b789e2044e789aa | [
"MIT"
] | null | null | null | migrations/versions/8b664608a7c7_.py | wangyuan02605/webcloud | e57a2713125b751ee8bb8da29b789e2044e789aa | [
"MIT"
] | 1 | 2021-04-26T06:08:35.000Z | 2021-04-26T06:08:35.000Z | """empty message
Revision ID: 8b664608a7c7
Revises: ec21e19825ff
Create Date: 2021-06-01 14:37:20.327189
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '8b664608a7c7'
down_revision = 'ec21e19825ff'
branch_labels = None
depends_on = None
| 35.511628 | 80 | 0.675835 |