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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
29f348ce2221e92c79d25e0d2151332aec4f637c | 1,100 | py | Python | memoro/wsgi.py | bbengfort/memorandi | 4591d26c097513d67e11916583ed043e78e87816 | [
"MIT"
] | null | null | null | memoro/wsgi.py | bbengfort/memorandi | 4591d26c097513d67e11916583ed043e78e87816 | [
"MIT"
] | 18 | 2020-12-02T16:37:21.000Z | 2021-09-22T19:40:37.000Z | memoro/wsgi.py | bbengfort/memorandi | 4591d26c097513d67e11916583ed043e78e87816 | [
"MIT"
] | null | null | null |
# memoro.wsgi
# WSGI config for memoro project.
#
# Author: Benjamin Bengfort <benjamin@bengfort.com>
# Created: Sat Nov 28 13:44:01 2020 -0500
#
# Copyright (C) 2020 Bengfort.com
# For license information, see LICENSE
#
# ID: wsgi.py [] benjamin@bengfort.com $
"""
WSGI config for memoro project.
It exposes the W... | 28.205128 | 78 | 0.555455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 881 | 0.800909 |
29f40d1447bb8284816ad9a4024cc926058b38fe | 29,679 | py | Python | serialized_data_converter.py | facelessuser/SerializedDataConverter | 6cd0d59ae6cda98208e60e9c729d0eb047fe93db | [
"MIT"
] | 19 | 2015-02-13T08:16:32.000Z | 2021-07-31T02:55:39.000Z | serialized_data_converter.py | facelessuser/SerializedDataConverter | 6cd0d59ae6cda98208e60e9c729d0eb047fe93db | [
"MIT"
] | 9 | 2015-03-10T15:34:08.000Z | 2019-11-18T01:57:20.000Z | serialized_data_converter.py | facelessuser/SerializedDataConverter | 6cd0d59ae6cda98208e60e9c729d0eb047fe93db | [
"MIT"
] | 4 | 2015-10-01T16:04:52.000Z | 2019-10-27T00:53:36.000Z | """
Serialized Data Converter.
Licensed under MIT
Copyright (c) 2012 - 2015 Isaac Muse <isaacmuse@gmail.com>
"""
import sublime
import sublime_plugin
import codecs
import re
import traceback
import os
from SerializedDataConverter.lib.log import error_msg
from SerializedDataConverter.lib import plist_includes as plist
... | 36.371324 | 117 | 0.553253 | 28,767 | 0.969271 | 0 | 0 | 0 | 0 | 0 | 0 | 8,599 | 0.289733 |
29f5d029a675792751ff0f3ac8e9946cca353e7b | 1,592 | py | Python | test.py | SirNate0/PYrho3D | b0daa3badccd12adfcb9e7cf50d554c805cc6279 | [
"MIT"
] | 6 | 2020-02-20T07:42:07.000Z | 2021-03-27T13:26:47.000Z | test.py | SirNate0/PYrho3D | b0daa3badccd12adfcb9e7cf50d554c805cc6279 | [
"MIT"
] | null | null | null | test.py | SirNate0/PYrho3D | b0daa3badccd12adfcb9e7cf50d554c805cc6279 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2.7
import urho
v = urho.Vector3()
c = urho.Context()
fs = urho.FileSystem(c)
from urho import StringHash as sh
import os
print (os.getcwd())
class App(urho.Application):
#def __init__(self, name):
# Dog.__init__(self) # Without this, undefind behavior may occur if the C++ portions a... | 24.875 | 107 | 0.66206 | 957 | 0.601131 | 0 | 0 | 0 | 0 | 0 | 0 | 696 | 0.437186 |
29f6bfc61051a4c8d3929a3bb610dca313e55859 | 7,696 | py | Python | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | 1 | 2015-03-04T13:04:33.000Z | 2015-03-04T13:04:33.000Z | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | null | null | null | ajustes_UM/tesis/tesis/settings.py | abelgonzalez/ajustes | f6f99aea18cfb82750805321abfc822d8a6ec5ed | [
"MIT"
] | null | null | null | """
Django settings for tesis project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# -*- coding: utf-8 -*-
# A tuple that lists people who get code error notifi... | 34.204444 | 120 | 0.721674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,044 | 0.783917 |
29f700b90ab2377c8ba15763c3022ce5834a7f4f | 4,445 | py | Python | python/fe3lmaker/s3-driver.py | flarebyte/wonderful-bazar | 810514cd7d73505b11d738f8b84d91842d18d074 | [
"MIT"
] | null | null | null | python/fe3lmaker/s3-driver.py | flarebyte/wonderful-bazar | 810514cd7d73505b11d738f8b84d91842d18d074 | [
"MIT"
] | null | null | null | python/fe3lmaker/s3-driver.py | flarebyte/wonderful-bazar | 810514cd7d73505b11d738f8b84d91842d18d074 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This software code is made available "AS IS" without warranties of any
# kind. You may copy, display, modify and redistribute the software
# code either by itself or as incorporated into your code; provided that
# you do not remove any proprietary notices. Your use of this software
# cod... | 37.352941 | 142 | 0.730259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,600 | 0.584927 |
29f709dd701c60c4489620b7e5b46e5aca1a0daf | 7,468 | py | Python | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 789 | 2018-03-21T05:28:38.000Z | 2022-03-29T19:32:47.000Z | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 46 | 2018-05-03T07:11:10.000Z | 2022-03-11T23:26:03.000Z | code/lib/models/FCRN_depth.py | santomon/taskonomy | 4b22087a2686172b21b61589831061e7a386fe36 | [
"MIT"
] | 152 | 2018-03-24T10:20:44.000Z | 2022-02-09T02:38:10.000Z |
from __future__ import absolute_import, division, print_function
from models.base_net import BaseNet
import losses.all as losses_lib
import tensorflow as tf
import tensorflow.contrib.slim as slim
import numpy as np
import pdb
import optimizers.train_steps as train_steps
import optimizers.ops as optimize
from functo... | 38.494845 | 152 | 0.622657 | 7,067 | 0.946304 | 0 | 0 | 0 | 0 | 0 | 0 | 3,039 | 0.406936 |
29f82c973044d39870f0f41f75666b3782377f54 | 13,459 | py | Python | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | tests/test_handler.py | Tas-Kit/platform | 34e1abb3f85b9649cbf18496333bf35f74aa6e3d | [
"Apache-2.0"
] | null | null | null | # trigger build
import json
import uuid
import pytest
from mock import MagicMock, patch
from src import handler, db
from src.models import User, MiniApp, TObject
from src.constants import ROLE
from werkzeug.exceptions import BadRequest
@patch('src.db.push', side_effect=Exception)
def test_execute_obj_post_exception(m... | 31.155093 | 141 | 0.666691 | 0 | 0 | 0 | 0 | 11,434 | 0.849543 | 0 | 0 | 2,310 | 0.171632 |
29f8d1a4f8b0cea46b5286a6c9367ca7d6ae25dc | 579 | py | Python | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 32 | 2020-07-30T20:31:05.000Z | 2022-03-31T17:27:14.000Z | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 59 | 2022-03-21T10:00:04.000Z | 2022-03-31T23:03:14.000Z | ersilia/utils/identifiers/long.py | ersilia-os/ersilia | eded117d6c7029ce4a497effdb514c21edfe3673 | [
"MIT"
] | 44 | 2022-03-17T13:11:07.000Z | 2022-03-31T19:44:16.000Z | try:
import uuid
except ModuleNotFoundError as err:
uuid = None
ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890"
PATTERN = [8, 4, 4, 4, 12]
SEP = "-"
class LongIdentifier(object):
def __init__(self):
super().__init__()
@staticmethod
def encode():
"""Get UUID code (long identifie... | 23.16 | 75 | 0.56304 | 416 | 0.71848 | 0 | 0 | 330 | 0.569948 | 0 | 0 | 83 | 0.143351 |
29f8e7164c007819cd3fd8ace5f9b2b1776fa29b | 19,622 | py | Python | client/buck_project_builder/tests/builder_test.py | aspin/pyre-check | fe78b41789ba3ef091b0b021d9a1c6267905a7f8 | [
"MIT"
] | null | null | null | client/buck_project_builder/tests/builder_test.py | aspin/pyre-check | fe78b41789ba3ef091b0b021d9a1c6267905a7f8 | [
"MIT"
] | null | null | null | client/buck_project_builder/tests/builder_test.py | aspin/pyre-check | fe78b41789ba3ef091b0b021d9a1c6267905a7f8 | [
"MIT"
] | null | null | null | # Copyright (c) 2019-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import glob
import unittest
from typing import List, Optional
from unittest.mock import MagicMock, patch
from .. import BuilderException, FastBuckB... | 37.590038 | 88 | 0.505045 | 19,092 | 0.97299 | 0 | 0 | 0 | 0 | 0 | 0 | 4,838 | 0.24656 |
29f94d2b334b89e0c508fee4d9e22209246bc128 | 5,970 | py | Python | api/user.py | gfoo/fastapi-demo | 44ceb9e94fa833841756136c3b446f192a311dde | [
"Unlicense"
] | null | null | null | api/user.py | gfoo/fastapi-demo | 44ceb9e94fa833841756136c3b446f192a311dde | [
"Unlicense"
] | null | null | null | api/user.py | gfoo/fastapi-demo | 44ceb9e94fa833841756136c3b446f192a311dde | [
"Unlicense"
] | null | null | null | from time import time
from typing import List
from core.security import verify_password
from db import users as DBUsers
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.responses import JSONResponse
from models.user import DBUser
from schemas.user import (UserCreate, UserUpdateActivate, UserU... | 36.402439 | 109 | 0.701675 | 0 | 0 | 0 | 0 | 5,372 | 0.899832 | 0 | 0 | 952 | 0.159464 |
29f9eab4a69842a784121a1073e07bcadc752ced | 3,265 | py | Python | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | Realsense2CV.py | felix2072/pytorch-CycleGAN-and-pix2pix | 4980106ceab5e1eb7bb20c2b492d007b6310d9e1 | [
"BSD-3-Clause"
] | null | null | null | ## License: Apache 2.0. See LICENSE file in root directory.
## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
###############################################
## Open CV and Numpy integration ##
###############################################
import pyrealsense2 as rs
import numpy a... | 34.368421 | 109 | 0.644717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,111 | 0.340276 |
29faa4ea69ec98280ad24b2003914856eee015a8 | 12,800 | py | Python | governor/postgresql.py | billcap/governor | 0056ec15d973d24f36688783b415fe894ca94db7 | [
"MIT"
] | null | null | null | governor/postgresql.py | billcap/governor | 0056ec15d973d24f36688783b415fe894ca94db7 | [
"MIT"
] | null | null | null | governor/postgresql.py | billcap/governor | 0056ec15d973d24f36688783b415fe894ca94db7 | [
"MIT"
] | null | null | null | import logging
import os
import psycopg2
import time
import shlex
import subprocess
import shutil
import threading
from urllib.parse import urlparse
logger = logging.getLogger(__name__)
class Postgresql:
CONN_OPTIONS = {
'connect_timeout': 3,
'options': '-c statement_timeout=2000',
}
... | 33.952255 | 114 | 0.563984 | 12,606 | 0.984844 | 308 | 0.024063 | 0 | 0 | 0 | 0 | 1,959 | 0.153047 |
29fbb43e9c43f01cd5a84414b7fa4416473edd33 | 566 | py | Python | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | main.py | Benrflanders/Genetic-Algorithm-Function-Solver | 7234aed5478d0701f0f8ce342116ac154aa40ba1 | [
"MIT"
] | null | null | null | import genetic_algorithm
#where the population will be processed and the main loop is contained
#initialise population with random candidate solutions
print("Enter a function to be solved: \n")
fitness_function = [1780, 17, -2] #n = ax + by
#function: [n, a, b]
ga = genetic_algorithm.genetic_algorithm(fitness_func... | 21.769231 | 70 | 0.780919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 418 | 0.738516 |
29fda9d9b2256b8b4efc118aa8ea61e7cbc1a09c | 264 | py | Python | thirdparty/flask/template/macro_demo.py | gwaysoft/python | a74a0b553dfca9606083a41ab6d03801e67d2467 | [
"Apache-2.0"
] | null | null | null | thirdparty/flask/template/macro_demo.py | gwaysoft/python | a74a0b553dfca9606083a41ab6d03801e67d2467 | [
"Apache-2.0"
] | null | null | null | thirdparty/flask/template/macro_demo.py | gwaysoft/python | a74a0b553dfca9606083a41ab6d03801e67d2467 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def index():
return render_template("macro.html", type="text", value="from endpoint")
if __name__ == '__main__':
print(app.url_map)
app.run(debug=True, host="0.0.0.0")
| 18.857143 | 76 | 0.674242 | 0 | 0 | 0 | 0 | 105 | 0.397727 | 0 | 0 | 55 | 0.208333 |
29fdda258cbe5d54b3217108b57775e883bf274f | 549 | py | Python | fishpass/migrations/0004_auto_20180925_1825.py | Ecotrust/FishPass | a69a4f9de46f28653ae92ef33c1e5cf7036cfb37 | [
"MIT"
] | 3 | 2019-03-01T04:00:21.000Z | 2022-02-10T22:17:20.000Z | fishpass/migrations/0004_auto_20180925_1825.py | Ecotrust/FishPass | a69a4f9de46f28653ae92ef33c1e5cf7036cfb37 | [
"MIT"
] | 165 | 2018-04-13T18:24:39.000Z | 2022-03-02T03:27:33.000Z | fishpass/migrations/0004_auto_20180925_1825.py | Ecotrust/FishPass | a69a4f9de46f28653ae92ef33c1e5cf7036cfb37 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2018-09-26 01:25
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('fishpass', '0003_auto_20180925_1825'),
]
operatio... | 24.954545 | 106 | 0.657559 | 357 | 0.650273 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.273224 |
29fded4c87d470f4257846244ccbee2b48588393 | 8,956 | py | Python | backend/account/migrations/0001_initial.py | CS178A-B/final-project-bjls | aebb8042f2d958caac00e31b27b445b9079901d0 | [
"MIT"
] | null | null | null | backend/account/migrations/0001_initial.py | CS178A-B/final-project-bjls | aebb8042f2d958caac00e31b27b445b9079901d0 | [
"MIT"
] | 20 | 2020-10-21T19:16:15.000Z | 2021-09-03T05:48:20.000Z | backend/account/migrations/0001_initial.py | CS178A-B/R-Finder | aebb8042f2d958caac00e31b27b445b9079901d0 | [
"MIT"
] | 1 | 2020-10-22T04:49:45.000Z | 2020-10-22T04:49:45.000Z |
# Generated by Django 2.2.13 on 2021-03-10 21:33
import account.models
import datetime
from django.conf import settings
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migr... | 50.03352 | 329 | 0.61054 | 8,655 | 0.966391 | 0 | 0 | 0 | 0 | 0 | 0 | 1,991 | 0.222309 |
29ffd5d34e2555908d5acb7cecdc5aad3a6e87bc | 1,983 | py | Python | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | null | null | null | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | 6 | 2020-05-23T11:30:48.000Z | 2022-03-11T23:45:06.000Z | src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py | aivaras-ciurlionis/meteo | 434759d16f7cca505d280475611d1fef5176827b | [
"MIT"
] | null | null | null | import tensorflow
from PIL import Image
from keras.models import Sequential
from keras.layers import Conv2D, Conv2DTranspose, ConvLSTM2D
from keras.optimizers import SGD
import numpy as np
import os
from keras import backend as K
from src.predictionAlgorithms.machineLearning.algorithms.ConvLSTM import ConvLstm
from sr... | 34.189655 | 104 | 0.611699 | 1,299 | 0.655068 | 0 | 0 | 1,264 | 0.637418 | 0 | 0 | 117 | 0.059002 |
4b00cec2aa25b2e4c87f0a86c86662d5e0d2edb1 | 1,927 | py | Python | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | 2 | 2021-10-14T08:14:15.000Z | 2021-12-01T05:57:49.000Z | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | null | null | null | batchtest.py | nachewigkeit/CropDefender | e78fc48f720367ca94033f6263eb1e4a9c6b7858 | [
"MIT"
] | 1 | 2021-12-01T05:57:53.000Z | 2021-12-01T05:57:53.000Z | import bchlib
from PIL import Image, ImageOps
import numpy as np
import glob
from tqdm import tqdm
import torch
import matplotlib.pyplot as plt
from model import StegaStampDecoder
BCH_POLYNOMIAL = 137
BCH_BITS = 5
def get_bits(secret="MITPBL"):
# 输入字符串，输出BCH码
bch = bchlib.BCH(BCH_POLYNOMIAL, BCH_BITS)
da... | 24.705128 | 79 | 0.63259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.163206 |
4b065798f8f3175be2995f3dc86fae9e7dc987b7 | 1,249 | py | Python | tests/ozpcenter_model_access/test_contact_type.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2018-10-05T17:03:01.000Z | 2018-10-05T17:03:01.000Z | tests/ozpcenter_model_access/test_contact_type.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2017-01-06T19:20:32.000Z | 2017-01-06T19:20:32.000Z | tests/ozpcenter_model_access/test_contact_type.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 7 | 2016-12-16T15:42:05.000Z | 2020-09-05T01:11:27.000Z | import pytest
from django.test import TestCase
from django.test import override_settings
import ozpcenter.api.contact_type.model_access as model_access
from ozpcenter.models import ContactType
from tests.cases.factories import ContactTypeFactory
@pytest.mark.model_access
@override_settings(ES_ENABLED=False)
class Co... | 30.463415 | 83 | 0.767814 | 936 | 0.7494 | 0 | 0 | 999 | 0.79984 | 0 | 0 | 32 | 0.02562 |
4b070ef3534dcec1b94204596a275dcc71c8d799 | 428 | py | Python | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | 4 | 2021-08-19T19:17:17.000Z | 2021-10-12T19:25:59.000Z | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | null | null | null | examples/echobot.py | samedamci/telegrask | 8cd0d7663e3a7386784396462f66c176bc6543c5 | [
"0BSD"
] | 1 | 2021-08-31T10:49:34.000Z | 2021-08-31T10:49:34.000Z | #!/usr/bin/python3
"""Simple bot to reply exactly the same what user sent to chat."""
# This program is dedicated to the public domain under the CC0 license.
from telegrask import Telegrask
bot = Telegrask("BOT_TOKEN")
@bot.command("echo", help="repeat user words", allow_without_prefix=True)
def echo(update, contex... | 25.176471 | 73 | 0.740654 | 0 | 0 | 0 | 0 | 151 | 0.352804 | 0 | 0 | 201 | 0.469626 |
4b07a5e3542e7f446d97c19101d6130c567a06f9 | 2,238 | py | Python | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | lib/emailsmtp/models.py | hdknr/emailqueue | 05e108562f4fb612440f769973b9a3d02c11afcd | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
from emailqueue.models import BaseModel
class Domain(BaseModel):
'''Domain:
- used for :ref:`postfix.relay_domains`, :ref:`postfix.transport_maps`
'''
domain = models.CharField(
_('Domain'), max_length=50, u... | 29.84 | 76 | 0.636282 | 2,106 | 0.941019 | 0 | 0 | 0 | 0 | 0 | 0 | 506 | 0.226095 |
4b096109d1a756991d2981702ec6615bda617d75 | 3,314 | py | Python | emoji-list.unicode.crawler.py | SHITianhao/emoji-dataset | 41812649f518f69472722c56d4aa77faeb9bbe8a | [
"MIT"
] | 2 | 2017-12-19T06:44:59.000Z | 2020-01-17T20:06:53.000Z | emoji-list.unicode.crawler.py | SHITianhao/emoji-dataset | 41812649f518f69472722c56d4aa77faeb9bbe8a | [
"MIT"
] | null | null | null | emoji-list.unicode.crawler.py | SHITianhao/emoji-dataset | 41812649f518f69472722c56d4aa77faeb9bbe8a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""This module is used to crawler emoji unicode from http://www.unicode.org/ """
import urllib
import json
import base64
import os
from bs4 import BeautifulSoup
__EMOJI_V4_URL = "http://www.unicode.org/emoji/charts/emoji-list.html"
__EMOJI_V5_URL = "http://www.unicode.org/... | 28.568966 | 84 | 0.60169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.240193 |
4b0bae7ae91cfcfff2eabb361271fc8c258445e7 | 1,628 | py | Python | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | 1 | 2022-01-18T17:56:51.000Z | 2022-01-18T17:56:51.000Z | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | null | null | null | venv/Lib/site-packages/traits/tests/test_constant.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | null | null | null | # (C) Copyright 2005-2021 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at... | 29.6 | 71 | 0.625307 | 1,144 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.262899 |
4b0c74252519e1d0763eeba5100d8c404e0ec79d | 5,072 | py | Python | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | 2 | 2021-03-28T16:19:06.000Z | 2022-02-26T08:58:33.000Z | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | null | null | null | midap_simulator/packet_manager.py | cap-lab/MidapSim | 4f92a9f9413c29d7e1f37e863cce90ebdde8b420 | [
"MIT"
] | 1 | 2021-02-22T08:44:20.000Z | 2021-02-22T08:44:20.000Z | import mmap
import numpy as np
from time import sleep
import os
class PacketManager(object):
buf_size = 0x1000
packet_size = 2072
#typedef struct _Packet{
# PacketType type;
# uint32_t size;
# uint64_t cycle;
# uint32_t address;
# uint8_t data[8];
# uint32_t flags;
... | 33.813333 | 134 | 0.589708 | 5,003 | 0.986396 | 0 | 0 | 0 | 0 | 0 | 0 | 1,001 | 0.197358 |
4b0d7a34a5dad916ea34157afa0ac2b56a26899d | 119 | py | Python | optimizers/__init__.py | Leo-xxx/NeuronBlocks | 4ddbdc625ccec15337df3cbf85e73ed25a117989 | [
"MIT"
] | 1,257 | 2019-05-06T21:25:16.000Z | 2022-03-19T11:06:49.000Z | optimizers/__init__.py | heavenAsk/NeuronBlocks | 9b08bb8ac7ceca874c8f2541d610bc8d3278fb22 | [
"MIT"
] | 37 | 2019-05-07T00:16:13.000Z | 2021-12-31T11:55:44.000Z | optimizers/__init__.py | heavenAsk/NeuronBlocks | 9b08bb8ac7ceca874c8f2541d610bc8d3278fb22 | [
"MIT"
] | 186 | 2019-05-07T00:36:40.000Z | 2022-02-28T20:47:19.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
from torch.optim import * | 39.666667 | 59 | 0.781513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.773109 |
4b0eec937bcf7b4132e9bab483c930a0a86d89bc | 3,824 | py | Python | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | 7 | 2021-02-17T18:55:13.000Z | 2021-07-30T13:56:19.000Z | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | null | null | null | amurlevel_model/model/train_test_split.py | RaevskyDN/aij2020-amur-noflood-public | d11349b1f8cc79c18bb078392731eac32b3c56ff | [
"Apache-2.0"
] | 1 | 2022-01-23T15:11:43.000Z | 2022-01-23T15:11:43.000Z | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
from datetime import date
from typing import Union,Tuple,Optional,List
from ..config_features import CATEGORICAL_FEATURES,NUMERICAL_FEATURES
from ..config import DAYS_FORECAST,ALL_STATIONS
from ..utils.normalizer import get_normalizer_stats
def train_tes... | 41.565217 | 117 | 0.636245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,469 | 0.349512 |
4b11b0281ea28ca55d21c7ab676dce9fefb150be | 35 | py | Python | bin/preprocessor/__init__.py | ian0549/AI-Audio-Task | 6918fc4e7fd337c5649c47925ad5b8d999fda0e1 | [
"MIT"
] | null | null | null | bin/preprocessor/__init__.py | ian0549/AI-Audio-Task | 6918fc4e7fd337c5649c47925ad5b8d999fda0e1 | [
"MIT"
] | null | null | null | bin/preprocessor/__init__.py | ian0549/AI-Audio-Task | 6918fc4e7fd337c5649c47925ad5b8d999fda0e1 | [
"MIT"
] | null | null | null | from .Preprocessor import Pipeline
| 17.5 | 34 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b136b651e1325beb870ea9f5a79512ec242273e | 80,229 | py | Python | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | common/ui.py | Regnareb/StreamManager | 8b95e785d41c78f03725077f5dce2a5c15e0354f | [
"MIT"
] | null | null | null | import os
import sys
import copy
import ctypes
import socket
import logging
import threading
import functools
import webbrowser
logger = logging.getLogger(__name__)
import keyboard
from PySide2 import QtCore, QtWidgets, QtGui, QtWebEngineWidgets
# TODO
# Be able to import a text file in the description/title as variab... | 50.874445 | 398 | 0.672114 | 78,270 | 0.975473 | 0 | 0 | 28,294 | 0.352626 | 0 | 0 | 14,062 | 0.175254 |
4b13fbf54481cade8e8734d48b08412beb1ed9cd | 4,009 | py | Python | tests/io/export/voc/test_create_annotation.py | wbknez/breakdb | f783820425c8cb70d8caedc6f5839a72de7c945e | [
"Apache-2.0"
] | 1 | 2020-02-03T18:31:20.000Z | 2020-02-03T18:31:20.000Z | tests/io/export/voc/test_create_annotation.py | wbknez/breakdb | f783820425c8cb70d8caedc6f5839a72de7c945e | [
"Apache-2.0"
] | null | null | null | tests/io/export/voc/test_create_annotation.py | wbknez/breakdb | f783820425c8cb70d8caedc6f5839a72de7c945e | [
"Apache-2.0"
] | null | null | null | """
Contains unit tests to ensure single database items are created correctly in a
Pascal VOC compatible format.
"""
import os
from xml.etree.ElementTree import Element, SubElement
import numpy as np
from breakdb.io.export.voc import create_annotation
from tests.helpers.dataset import create_random_string
from tests.... | 32.860656 | 78 | 0.626091 | 3,661 | 0.913195 | 0 | 0 | 0 | 0 | 0 | 0 | 548 | 0.136692 |
4b1766db2c0ad0a27e5899ec9658c4cad1b1b54e | 8,242 | py | Python | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | map.py | BenoitCorsini/world-flights | 5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce | [
"MIT"
] | null | null | null | import os
import os.path as osp
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, Polygon, Rectangle
from config import PARAMS
class WorldMap(object):
def __init__(self, shapes=[], params=PARAMS):
'''
The 'WorldMap' class is useful in constructing a 3D fig... | 36.631111 | 111 | 0.473065 | 8,072 | 0.979374 | 0 | 0 | 1,263 | 0.15324 | 0 | 0 | 2,776 | 0.336811 |
4b17b051f3187df2daa4e97e42b6ba22e41b2320 | 322 | py | Python | base/models/provider.py | musicmash/notify | 0f1c72207979e812c6485238da32ca7f5b463859 | [
"MIT"
] | null | null | null | base/models/provider.py | musicmash/notify | 0f1c72207979e812c6485238da32ca7f5b463859 | [
"MIT"
] | 86 | 2020-07-13T11:14:24.000Z | 2022-03-25T01:10:30.000Z | base/models/provider.py | musicmash/notify | 0f1c72207979e812c6485238da32ca7f5b463859 | [
"MIT"
] | null | null | null | from django.db import models
from .base import BaseModel
class Provider(BaseModel):
name = models.CharField(max_length=50, primary_key=True)
class Meta:
db_table = "providers"
verbose_name = "Provider"
verbose_name_plural = "Providers"
def __str__(self):
return self.nam... | 18.941176 | 60 | 0.673913 | 261 | 0.810559 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.099379 |
4b188ae0e512d9c128c010ae409e8f80e9a5b8ee | 6,753 | py | Python | preprocess/weixin_prepare.py | xuyuandong/sequence_behavior_ctr_model | e1bb71b4579456b1c6fbf3b432a84a3cb52611b7 | [
"MIT"
] | 4 | 2020-01-08T13:39:59.000Z | 2021-09-21T08:13:44.000Z | preprocess/weixin_prepare.py | xuyuandong/sequence_behavior_ctr_model | e1bb71b4579456b1c6fbf3b432a84a3cb52611b7 | [
"MIT"
] | null | null | null | preprocess/weixin_prepare.py | xuyuandong/sequence_behavior_ctr_model | e1bb71b4579456b1c6fbf3b432a84a3cb52611b7 | [
"MIT"
] | 3 | 2020-01-09T02:45:14.000Z | 2021-09-21T08:13:59.000Z | import random
import numpy as np
import cPickle as pkl
Train_handle = open("./data/weixin_data/weixin_train.txt",'w')
Test_handle = open("./data/weixin_data/weixin_test.txt",'w')
Feature_handle = open("./data/weixin_data/weixin_feature.pkl",'w')
max_len = 50
def produce_neg_item_hist_with_cate(train_file, test_file):... | 37.726257 | 147 | 0.568192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 496 | 0.073449 |
4b1897d255b0413c9d4325f9c12538b29485ce83 | 2,197 | py | Python | chapter15/cache_aside/populate_db.py | JoeanAmiee/Mastering-Python-Design-Patterns-Second-Edition | 89c55dcf5e1e0e730dde593b487050f360371932 | [
"MIT"
] | 278 | 2018-08-16T12:59:24.000Z | 2022-03-21T08:21:11.000Z | chapter15/cache_aside/populate_db.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 4 | 2019-05-16T11:44:45.000Z | 2022-02-04T07:24:47.000Z | chapter15/cache_aside/populate_db.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 166 | 2018-08-13T21:47:16.000Z | 2022-03-18T12:20:31.000Z | import sys
import sqlite3
import csv
from random import randint
from faker import Faker
fake = Faker()
def setup_db():
try:
db = sqlite3.connect('data/quotes.sqlite3')
# Get a cursor object
cursor = db.cursor()
cursor.execute('''
CREATE TABLE quotes(id INTEGER PRIMAR... | 25.252874 | 86 | 0.522531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 526 | 0.239417 |
4b1a17df754eb85c581497a16047422be041c22f | 523 | py | Python | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py | Podshot/Amulet-Core | 678a722daa5e4487d193a7e947ccceacac325fd2 | [
"MIT"
] | null | null | null | from __future__ import annotations
from amulet.world_interface.chunk.interfaces.leveldb.leveldb_12.leveldb_12_interface import (
LevelDB12Interface,
)
class LevelDB13Interface(LevelDB12Interface):
def __init__(self):
LevelDB12Interface.__init__(self)
self.features["chunk_version"] = 13
... | 21.791667 | 93 | 0.6826 | 325 | 0.621415 | 0 | 0 | 163 | 0.311663 | 0 | 0 | 24 | 0.045889 |
4b1b507d5e7bd884f752c61b8ba7c52263c2268a | 921 | py | Python | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | oarepo_model_builder/builders/jsonschema_builder.py | mesemus/oarepo-model-builder | 3dd9cc3db887c67f7b58281faae65c8162b0651e | [
"MIT"
] | null | null | null | from oarepo_model_builder.builders.json import JSONBuilder
from oarepo_model_builder.output import JsonSchemaOutput
class JSONSchemaBuilder(JSONBuilder):
"""Handles building of jsonschema from a data model specification."""
def __init__(self):
super().__init__()
self.output = None
def pre... | 32.892857 | 73 | 0.587405 | 802 | 0.870793 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.104235 |
4b1d49f6efb27ace41851af3af43454783b205c7 | 399 | py | Python | solutions/level0_tasks.py | sksuzuki/How-to-Learn-to-Code | 347943dbd2a3d176f3459c2e9f18cba1bdf78597 | [
"MIT"
] | null | null | null | solutions/level0_tasks.py | sksuzuki/How-to-Learn-to-Code | 347943dbd2a3d176f3459c2e9f18cba1bdf78597 | [
"MIT"
] | 3 | 2019-06-06T21:11:41.000Z | 2019-06-06T21:12:37.000Z | solutions/level0_tasks.py | sksuzuki/How-to-Learn-to-Code | 347943dbd2a3d176f3459c2e9f18cba1bdf78597 | [
"MIT"
] | null | null | null | import numpy as np
def square(x):
"""Square a number"""
return x ** 2
def volume_converter(volume, unit):
"""Convert certain SI volumes to mLs"""
conversions = {'mL': 1E-3, 'uL': 1E-6, 'nL': 1E-9, 'kL': 1E3}
return round(volume * conversions[unit], 10)
def squared_sum(in_list):
"""Finds the s... | 26.6 | 65 | 0.629073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.320802 |
4b1e6350105907d7f3eb0e342a99233ff398a655 | 10,305 | py | Python | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 6 | 2021-12-20T12:15:17.000Z | 2022-02-02T15:28:42.000Z | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 1 | 2022-03-07T14:57:44.000Z | 2022-03-11T18:11:55.000Z | benchmark/automated_agents_selenium/exatag_labels_agent.py | MedTAG/medtag-core | f2dae7b38230179d71babede7e4910631d91053f | [
"MIT"
] | 2 | 2021-05-29T09:44:38.000Z | 2021-12-28T03:53:40.000Z | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import psycopg2
import time
import statistics
from selenium.webdriver.support.select import Select
import json
def wait_unt... | 35.78125 | 147 | 0.450849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,615 | 0.350801 |
4b1ec72cd59cc0bdeabf8053a9474d679e3c099c | 963 | py | Python | src/main/tools/dbpy/FotechUtils/dbUtils.py | inqwell/inq | 31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3 | [
"BSD-3-Clause"
] | 1 | 2016-09-25T16:41:57.000Z | 2016-09-25T16:41:57.000Z | src/main/tools/dbpy/FotechUtils/dbUtils.py | inqwell/inq | 31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3 | [
"BSD-3-Clause"
] | null | null | null | src/main/tools/dbpy/FotechUtils/dbUtils.py | inqwell/inq | 31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3 | [
"BSD-3-Clause"
] | 2 | 2016-09-25T16:48:49.000Z | 2020-05-26T20:00:33.000Z | #
# $Header: /home/inqwell/cvsroot/dev/scripts/python/FotechUtils/dbUtils.py,v 1.1 2009/05/22 22:16:32 sanderst Exp $
#
import KBC.fotech
from Util import db
from dbConfig import configurationProvider
def getConnection( confile, system, level, access = "read", site = None, user = None, pwdfile = None ):
"""
... | 45.857143 | 129 | 0.726895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 507 | 0.52648 |
4b1ec74bf2a93ae529c6f9b679c345029b8413cf | 1,517 | py | Python | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | 1 | 2021-09-09T12:03:57.000Z | 2021-09-09T12:03:57.000Z | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | null | null | null | randgenuntil.py | i-can-not-program/randgenuntil | cec853bc0c0a6589d60e1c6e3064e273e6278e0f | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import random
import argparse
import sys
def error(message):
print(message)
sys.exit(1)
parser = argparse.ArgumentParser()
parser.add_argument("number",
help="Generate a random numbers until they are equal to this.", type=int)
parser.add_argument("-s", "--start", t... | 35.27907 | 111 | 0.652604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 584 | 0.38497 |
4b1fa47c925f46978fe64a19c7b80b111b447a75 | 2,798 | py | Python | gopredict/modelo.py | ajalba/gopredict | bfcb1c4c10b6787da10c7515ae2adf65252bb8c6 | [
"MIT"
] | null | null | null | gopredict/modelo.py | ajalba/gopredict | bfcb1c4c10b6787da10c7515ae2adf65252bb8c6 | [
"MIT"
] | 39 | 2021-10-31T16:51:39.000Z | 2021-11-22T09:56:04.000Z | gopredict/modelo.py | ajalba/gopredict | bfcb1c4c10b6787da10c7515ae2adf65252bb8c6 | [
"MIT"
] | null | null | null | """
Clase para representar a los diferentes modelos y su comportamiento
atributos(de momento)
df=dataframe de entrenamiento proviniente del conjunto de datos de entrenamiento del usuario
x_train,x_test,y_train,y_test, particiones de df para entrenar el modelo
El resto de métodos son autoexplicativos
"""
from numpy ... | 36.337662 | 92 | 0.686919 | 2,272 | 0.811139 | 0 | 0 | 0 | 0 | 0 | 0 | 678 | 0.242056 |
4b21181e3a74fe5a1a2c9a5d58470698abe2c63a | 10,698 | py | Python | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | 3 | 2022-03-14T11:47:20.000Z | 2022-03-16T01:45:37.000Z | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | null | null | null | python/cvi_toolkit/numpy_helper/tensor_compare.py | sophgo/tpu_compiler | 6299ea0a3adae1e5c206bcb9bedf225d16e636db | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
import sys
import struct
# from math import fabs
from enum import IntEnum
from scipy import spatial
from math import *
from collections import OrderedDict
def second(elem):
return elem[1]
def get_topk(a, k):
k = min(a.size, k)
idx = np.argpartition(-a.ravel(), k - 1)[:... | 37.405594 | 102 | 0.623294 | 10,203 | 0.95373 | 0 | 0 | 0 | 0 | 0 | 0 | 1,560 | 0.145822 |
4b239e38be546f3cf138ae920d55ac95f83dd8aa | 4,508 | py | Python | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | 1 | 2020-06-12T00:27:45.000Z | 2020-06-12T00:27:45.000Z | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | null | null | null | src/cleaners.py | RellikDog/dota2-win-predictor-v2 | 2751093d988830296ab0408a820e52bd7fd963b0 | [
"MIT"
] | null | null | null | from src.eda import make_counter
import pandas as pd
import numpy as np
from src.heroes import heroes, name_id, id_name
def id_list_from_history(data):
'''
Takes raw data returnd by api_calls.get_match_history() and returns a list of just the match ID's
Input:
data(list):
... | 32.905109 | 119 | 0.590949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,823 | 0.62622 |
4b26f2f9d05f6e347a28ccd82f8bc4ee81785946 | 808 | py | Python | essEcommerce/views.py | AymanTareq/cit_ecommerce | 7a000f9f9ed76af99ec3c5a5faa1dbde8b988370 | [
"CC0-1.0"
] | null | null | null | essEcommerce/views.py | AymanTareq/cit_ecommerce | 7a000f9f9ed76af99ec3c5a5faa1dbde8b988370 | [
"CC0-1.0"
] | null | null | null | essEcommerce/views.py | AymanTareq/cit_ecommerce | 7a000f9f9ed76af99ec3c5a5faa1dbde8b988370 | [
"CC0-1.0"
] | null | null | null | from django.shortcuts import render
from .models import *
def all_product(request):
products = Product.objects.all()
context = {
'products':products,
}
return render(request, 'essEcommerce/all_product.html', context)
def cart(request):
if request.user.is_authenticated:
customer = ... | 26.064516 | 85 | 0.634901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.179455 |
4b27ad25bbde1311e3d80132c3a579efdb94319b | 431 | py | Python | HowloserUare/api/serializers.py | HowloserUare/HowloserUare-api | c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0 | [
"MIT"
] | null | null | null | HowloserUare/api/serializers.py | HowloserUare/HowloserUare-api | c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0 | [
"MIT"
] | null | null | null | HowloserUare/api/serializers.py | HowloserUare/HowloserUare-api | c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from rest_framework.validators import UniqueValidator
from core.models import User
class UserSerializer(serializers.Serializer):
username = serializers.CharField(
max_length=16,
min_length=5,
validators=[UniqueValidator(User.objects.all()), ])
pas... | 26.9375 | 59 | 0.712297 | 306 | 0.709977 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.009281 |
4b2885e057467c9b44c65e10af712efbc6a9cb24 | 74 | py | Python | mogpe/__init__.py | aidanscannell/mogpe | 25a9af473d73d6fa35bd060bee0eb2c372b995e5 | [
"Apache-2.0"
] | 11 | 2021-04-01T02:40:21.000Z | 2022-01-31T16:14:44.000Z | mogpe/__init__.py | aidanscannell/mogpe | 25a9af473d73d6fa35bd060bee0eb2c372b995e5 | [
"Apache-2.0"
] | null | null | null | mogpe/__init__.py | aidanscannell/mogpe | 25a9af473d73d6fa35bd060bee0eb2c372b995e5 | [
"Apache-2.0"
] | 3 | 2021-04-04T02:45:34.000Z | 2021-11-22T23:48:28.000Z | from . import experts, gating_networks, gps, mixture_of_experts, training
| 37 | 73 | 0.824324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b29c7bf6ebe9ba8c28605961385ea51d3e8eaf4 | 49 | py | Python | pynfldata/coaches_data/__init__.py | trevorbalint/pynfldata | d27c550a5249c30cd2f32a8ad455c9c4ff623f5b | [
"MIT"
] | 3 | 2020-09-24T17:17:28.000Z | 2021-09-23T18:39:09.000Z | pynfldata/coaches_data/__init__.py | trevorbalint/pynfldata | d27c550a5249c30cd2f32a8ad455c9c4ff623f5b | [
"MIT"
] | 5 | 2019-10-29T00:31:22.000Z | 2020-01-12T12:35:52.000Z | pynfldata/coaches_data/__init__.py | tabalint/pynfldata | d27c550a5249c30cd2f32a8ad455c9c4ff623f5b | [
"MIT"
] | null | null | null | from pynfldata.coaches_data import coaches_parser | 49 | 49 | 0.918367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b2a94692c84f7c38268202ef3957322166618de | 991 | py | Python | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | tensorflow_v2/dragen1860/ch10/bn_main.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, optimizers
# BatchNorm 归一化网络激活函数
# 2 images with 4x4 size, 3 channels
# we explicitly enforce the mean and stddev to N(1, 0.5)
x = tf.random.normal([2, 4, 4, 3], mean=1.0, stddev=0.5)
net = layers.BatchNormalization(axis=-1, ce... | 30.030303 | 81 | 0.71443 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 269 | 0.266601 |
4b2b18a133cf43bd4b7425912dff7947dc039608 | 1,001 | py | Python | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 12 | 2016-11-02T08:43:04.000Z | 2020-05-17T11:23:32.000Z | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 1 | 2020-06-08T09:48:20.000Z | 2020-06-08T09:48:20.000Z | pytocl/main.py | moltob/pytocl | 905c09e649feca8feeaef6fdecd6767d82cdb28e | [
"MIT"
] | 3 | 2017-08-01T18:30:32.000Z | 2018-08-04T13:10:15.000Z | """Application entry point."""
import argparse
import logging
from pytocl.protocol import Client
def main():
"""Main entry point of application."""
parser = argparse.ArgumentParser(description='Client for TORCS racing car simulation with SCRC '
'network server... | 30.333333 | 100 | 0.622378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 0.374625 |
4b2b25ace759328c89bdd5c3d6fc4d697b6531e4 | 2,381 | py | Python | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | 6 | 2015-05-04T00:05:00.000Z | 2016-12-09T14:40:47.000Z | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | 1 | 2018-06-25T17:13:37.000Z | 2018-06-25T17:13:37.000Z | JSMultiline.py | axilleasiv/JSMultiline | 59779d4b6c444461597b105e31aa0efb0e86805c | [
"MIT"
] | null | null | null | import sublime
import sublime_plugin
import re
import os
rexLastTabs = re.compile(r'(\t+|\s+)$', re.MULTILINE)
rexEmptyLines = re.compile('^[ \t]*$\r?\n', re.MULTILINE)
rexCont = re.compile(r'[^\t\s].*[^\t\s]')
rexFormatted = re.compile(r"((?<=\s)'|(?<=\t)')|('*\s[\+|\\|])")
class RunMultilineAction(sublime_plugin.T... | 28.345238 | 116 | 0.639227 | 1,639 | 0.688366 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.162117 |