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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6f073d830bc26d55a9b16a99438ab898d40254be | 3,418 | py | Python | mcpyrate/markers.py | Technologicat/mcpyrate | 8182a8d246554b152e281d0f6c912e35ea58c316 | [
"MIT"
] | 34 | 2020-10-13T19:22:36.000Z | 2022-01-28T00:53:55.000Z | mcpyrate/markers.py | Technologicat/mcpyrate | 8182a8d246554b152e281d0f6c912e35ea58c316 | [
"MIT"
] | 32 | 2020-10-16T16:29:54.000Z | 2022-01-27T15:45:51.000Z | mcpyrate/markers.py | Technologicat/mcpyrate | 8182a8d246554b152e281d0f6c912e35ea58c316 | [
"MIT"
] | 2 | 2020-10-17T19:07:26.000Z | 2021-02-20T01:43:50.000Z | # -*- coding: utf-8; -*-
"""AST markers for internal communication.
*Internal* here means they are to be never passed to Python's `compile`;
macros may use them to work together.
"""
__all__ = ["ASTMarker", "get_markers", "delete_markers", "check_no_markers_remaining"]
import ast
from . import core, utils, walkers
... | 37.977778 | 113 | 0.693681 | 1,792 | 0.524283 | 0 | 0 | 0 | 0 | 0 | 0 | 2,159 | 0.631656 |
6f0871e5f1835b667efee97ba793562fead702a2 | 1,960 | py | Python | lambda.py | deepanshu-yadav/NSFW-Classifier | ec6a98eb982ec30c2a21ca11dc92d580cc8a8981 | [
"MIT"
] | 13 | 2019-09-18T18:32:17.000Z | 2022-03-01T08:01:18.000Z | lambda.py | deepanshu-yadav/NSFW-Classifier | ec6a98eb982ec30c2a21ca11dc92d580cc8a8981 | [
"MIT"
] | null | null | null | lambda.py | deepanshu-yadav/NSFW-Classifier | ec6a98eb982ec30c2a21ca11dc92d580cc8a8981 | [
"MIT"
] | 4 | 2020-03-27T10:00:52.000Z | 2021-04-23T03:30:43.000Z | import boto3
import json
import numpy as np
import base64, os, boto3, ast, json
endpoint = 'myprojectcapstone'
def format_response(message, status_code):
return {
'statusCode': str(status_code),
'body': json.dumps(message),
'headers': {
'Content-Type': 'application/json',
... | 32.131148 | 147 | 0.514286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.260204 |
6f08e7a44962b3d4ce1d67b7f28da022e46eb7fe | 4,097 | py | Python | src/bindings/python/tests/test_ngraph/test_eye.py | si-eun-kim/openvino | 1db4446e2a6ead55d066e0b4e718fa37f509353a | [
"Apache-2.0"
] | 2 | 2021-12-14T15:27:46.000Z | 2021-12-14T15:34:16.000Z | src/bindings/python/tests/test_ngraph/test_eye.py | si-eun-kim/openvino | 1db4446e2a6ead55d066e0b4e718fa37f509353a | [
"Apache-2.0"
] | 33 | 2021-09-23T04:14:30.000Z | 2022-01-24T13:21:32.000Z | src/bindings/python/tests/test_ngraph/test_eye.py | si-eun-kim/openvino | 1db4446e2a6ead55d066e0b4e718fa37f509353a | [
"Apache-2.0"
] | 11 | 2021-11-09T00:51:40.000Z | 2021-11-10T12:04:16.000Z | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import openvino.runtime.opset9 as ov
import numpy as np
import pytest
from tests.runtime import get_runtime
from openvino.runtime.utils.types import get_element_type_str
from openvino.runtime.utils.types import get_element_type
@pytes... | 39.776699 | 90 | 0.686112 | 0 | 0 | 0 | 0 | 3,779 | 0.922382 | 0 | 0 | 701 | 0.171101 |
6f09c66c2c39712c9d1518ff1035780b17e4b03c | 2,371 | py | Python | tests/error/test_format_error.py | GDGSNF/graphql-core | 35aa9b261c850aa5f0c335c2405956fd41ed5ca2 | [
"MIT"
] | 590 | 2015-10-06T18:22:49.000Z | 2022-03-22T16:32:17.000Z | tests/error/test_format_error.py | vpetrovykh/graphql-core | 7af97e22afb27861fc1b7d7ca0292095f8427ecb | [
"MIT"
] | 300 | 2015-10-06T18:58:11.000Z | 2022-03-22T14:01:44.000Z | tests/error/test_format_error.py | vpetrovykh/graphql-core | 7af97e22afb27861fc1b7d7ca0292095f8427ecb | [
"MIT"
] | 270 | 2015-10-08T19:47:38.000Z | 2022-03-10T04:17:51.000Z | from typing import List, Union
from pytest import raises
from graphql.error import GraphQLError, format_error
from graphql.language import Node, Source
from graphql.pyutils import Undefined
def describe_format_error():
def formats_graphql_error():
source = Source(
"""
query {
... | 31.197368 | 80 | 0.554197 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 531 | 0.223956 |
6f0a8a484c64fa9bfcfccccb0a0f15f2d119765a | 6,708 | py | Python | pymonad/test/test_Maybe.py | bjd2385/pymonad | baec7a540d9195b2da029d1a101edd7c385f94bb | [
"BSD-3-Clause"
] | null | null | null | pymonad/test/test_Maybe.py | bjd2385/pymonad | baec7a540d9195b2da029d1a101edd7c385f94bb | [
"BSD-3-Clause"
] | null | null | null | pymonad/test/test_Maybe.py | bjd2385/pymonad | baec7a540d9195b2da029d1a101edd7c385f94bb | [
"BSD-3-Clause"
] | null | null | null | # --------------------------------------------------------
# (c) Copyright 2014 by Jason DeLaat.
# Licensed under BSD 3-clause licence.
# --------------------------------------------------------
import unittest
from pymonad.Maybe import Maybe, Just, First, Last, _Nothing, Nothing
from pymonad.Reader import curry
from ... | 33.373134 | 73 | 0.690966 | 6,246 | 0.931127 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.029964 |
6f0b8327462eef4971df182fcdc4e7e99669fd00 | 210 | py | Python | sborl/__init__.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | sborl/__init__.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | sborl/__init__.py | canonical/sborl | f821ecfcbf977d0605def66dca19ea5e8e39b5a3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Canonical Ltd.
# See LICENSE file for licensing details.
__version__ = "0.0.8"
# flake8: noqa: F401,F402
from . import errors, events, relation, testing
from .relation import EndpointWrapper
| 23.333333 | 47 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.495238 |
6f0bb8acf71ebb128d83c12c5909aa37ad5afe8a | 940 | py | Python | sizer.py | riffcc/librarian | f3cf8f4cc9f9a717e5f807a1d8558eb8c4e4d528 | [
"MIT"
] | null | null | null | sizer.py | riffcc/librarian | f3cf8f4cc9f9a717e5f807a1d8558eb8c4e4d528 | [
"MIT"
] | null | null | null | sizer.py | riffcc/librarian | f3cf8f4cc9f9a717e5f807a1d8558eb8c4e4d528 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Fetch torrent sizes
# TODO: Report number of files before we go etc
import os
from torrentool.api import Torrent
from fnmatch import fnmatch
root = '/opt/radio/collections'
pattern = "*.torrent"
alltorrentsize = 0
print("Thanks for using The Librarian.")
for path, subdirs, files in os.walk(root... | 34.814815 | 172 | 0.726596 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 387 | 0.411702 |
6f0bf095397f81c3ceab712d5eed93ca0139a752 | 1,319 | py | Python | i_vis/core/login.py | piechottam/i-vis-core | 0b90300d1ae8b96d28a80802c1300dd861ad6f4e | [
"MIT"
] | null | null | null | i_vis/core/login.py | piechottam/i-vis-core | 0b90300d1ae8b96d28a80802c1300dd861ad6f4e | [
"MIT"
] | null | null | null | i_vis/core/login.py | piechottam/i-vis-core | 0b90300d1ae8b96d28a80802c1300dd861ad6f4e | [
"MIT"
] | null | null | null | """ Flask LoginManager plugin.
Import and execute ``login.init_app(app)`` in a factory function to use.
"""
from typing import Any, Callable, TYPE_CHECKING
from functools import wraps
from flask import redirect, request, url_for, current_app
from flask_login import current_user
from flask_login.login_manager import... | 25.862745 | 72 | 0.686884 | 0 | 0 | 0 | 0 | 601 | 0.455648 | 0 | 0 | 398 | 0.301744 |
6f0cc8d81107fd93a3ad95d929b3e7cadc42e6cc | 10,078 | py | Python | code/App.py | KasinSparks/Arduino_RGB_Lights | 9c924ef3c7df2c7725c2178b42eb0f784168160c | [
"MIT"
] | null | null | null | code/App.py | KasinSparks/Arduino_RGB_Lights | 9c924ef3c7df2c7725c2178b42eb0f784168160c | [
"MIT"
] | null | null | null | code/App.py | KasinSparks/Arduino_RGB_Lights | 9c924ef3c7df2c7725c2178b42eb0f784168160c | [
"MIT"
] | null | null | null | from tkinter import *
from ModeEnum import Mode
import SerialHelper
import Views.StaticView
import Views.CustomWidgets.Silder
from ColorEnum import Color
from functools import partial
from Views.CommandPanel import CommandPanel
from Views.ListItem import ListItem
from ProcessControl import ProcessManager, ProcessCo... | 32.509677 | 209 | 0.594066 | 8,899 | 0.883013 | 0 | 0 | 0 | 0 | 0 | 0 | 2,033 | 0.201727 |
6f0d7bbee7a9caaa60cc0549c015512769c48c45 | 4,944 | py | Python | tests/io/product/test_sidd_writing.py | ngageoint/SarPy | a21ebfe136833e3d25cac4e5ebfd534f28538db4 | [
"MIT"
] | null | null | null | tests/io/product/test_sidd_writing.py | ngageoint/SarPy | a21ebfe136833e3d25cac4e5ebfd534f28538db4 | [
"MIT"
] | null | null | null | tests/io/product/test_sidd_writing.py | ngageoint/SarPy | a21ebfe136833e3d25cac4e5ebfd534f28538db4 | [
"MIT"
] | null | null | null | import os
import json
import tempfile
import shutil
import unittest
from sarpy.io.complex.sicd import SICDReader
from sarpy.io.product.sidd import SIDDReader
from sarpy.io.product.sidd_schema import get_schema_path
from sarpy.processing.sidd.sidd_product_creation import create_detected_image_sidd, create_dynamic_image... | 44.142857 | 126 | 0.619539 | 3,505 | 0.70894 | 0 | 0 | 3,458 | 0.699434 | 0 | 0 | 921 | 0.186286 |
6f0f9bbc343ebc2f491e5e0fa189894eb08c5ad7 | 28,213 | py | Python | src/westpa/tools/wipi.py | burntyellow/adelman_ci | cca251a51b34843faed0275cce01d7a307829993 | [
"MIT"
] | null | null | null | src/westpa/tools/wipi.py | burntyellow/adelman_ci | cca251a51b34843faed0275cce01d7a307829993 | [
"MIT"
] | null | null | null | src/westpa/tools/wipi.py | burntyellow/adelman_ci | cca251a51b34843faed0275cce01d7a307829993 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.sparse as sp
from westpa.tools import Plotter
# A useful dataclass used as a wrapper for w_ipa to facilitate
# ease-of-use in ipython/jupyter notebooks/sessions.
# It basically just wraps up numpy arrays and dicts.
class WIPIDataset(object):
def __init__(self, raw, key):
... | 43.073282 | 222 | 0.589267 | 27,811 | 0.985751 | 0 | 0 | 5,341 | 0.18931 | 0 | 0 | 10,373 | 0.367667 |
6f0fd9711f448e832198d3798ba9ecf322599507 | 680 | py | Python | src/M5_random_module.py | posguy99/comp660-fall2020 | 0fbf5b660fe8863bf9754b5227fe47dd03dc2291 | [
"MIT"
] | null | null | null | src/M5_random_module.py | posguy99/comp660-fall2020 | 0fbf5b660fe8863bf9754b5227fe47dd03dc2291 | [
"MIT"
] | null | null | null | src/M5_random_module.py | posguy99/comp660-fall2020 | 0fbf5b660fe8863bf9754b5227fe47dd03dc2291 | [
"MIT"
] | null | null | null | import random
# use of the random module
print(random.random()) # a float value >= 0.0 and < 1.0
print(random.random()*100) # a float value >= 0.0 and < 100.0
# use of the randint method
print(random.randint(1, 100)) # an int from 1 to 100
print(random.randint(101, 200)) # an int from 101 to 2... | 35.789474 | 73 | 0.627941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 272 | 0.4 |
6f0fe7aa9178367d1e8da95885ff8667f686cebb | 1,385 | py | Python | lnt/graphics/styles.py | flotwig/lnt | 2f4ab3d051508801b521f5da39f0cf522c54a96e | [
"MIT"
] | 7 | 2020-02-21T23:43:10.000Z | 2021-07-06T11:16:37.000Z | lnt/graphics/styles.py | arshbot/lntools | 9c6f344452323ff93b7a6a3763697d2ad81b4961 | [
"MIT"
] | 19 | 2019-08-07T18:00:13.000Z | 2020-12-03T17:21:01.000Z | lnt/graphics/styles.py | arshbot/lntools | 9c6f344452323ff93b7a6a3763697d2ad81b4961 | [
"MIT"
] | 1 | 2019-11-05T21:38:29.000Z | 2019-11-05T21:38:29.000Z | from PyInquirer import style_from_dict, Token, prompt, Separator
from lnt.graphics.utils import vars_to_string
# Mark styles
prompt_style = style_from_dict({
Token.Separator: '#6C6C6C',
Token.QuestionMark: '#FF9D00 bold',
#Token.Selected: '', # default
Token.Selected: '#5F819D',
Token.Pointer: '#F... | 30.108696 | 134 | 0.639711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 536 | 0.385889 |
6f10007c40e440e0d8097efa2d2333808b818d8f | 25,327 | py | Python | dvrip.py | jackkum/python-dvr | c004606ff8a37a213715fbc835cef77add0b3014 | [
"MIT"
] | 149 | 2018-04-04T18:46:43.000Z | 2022-03-07T18:27:52.000Z | dvrip.py | jackkum/python-dvr | c004606ff8a37a213715fbc835cef77add0b3014 | [
"MIT"
] | 20 | 2018-09-05T13:10:29.000Z | 2022-03-28T12:56:36.000Z | dvrip.py | jackkum/python-dvr | c004606ff8a37a213715fbc835cef77add0b3014 | [
"MIT"
] | 51 | 2018-05-29T02:10:04.000Z | 2022-02-23T14:24:11.000Z | import os
import struct
import json
from time import sleep
import hashlib
import threading
from socket import socket, AF_INET, SOCK_STREAM, SOCK_DGRAM
from datetime import *
from re import compile
import time
import logging
class SomethingIsWrongWithCamera(Exception):
pass
class DVRIPCam(object):
DATE_FORMAT ... | 31.5798 | 232 | 0.48774 | 25,099 | 0.990998 | 0 | 0 | 0 | 0 | 0 | 0 | 4,143 | 0.16358 |
6f1051aadde1f5582ce2b30a763b8cd2ec505a2e | 1,373 | py | Python | tests/test_renderer.py | 0xflotus/maildown | fa17ce6a29458da549a145741db8e5092def2176 | [
"MIT"
] | 626 | 2019-05-08T22:34:45.000Z | 2022-03-31T07:29:35.000Z | tests/test_renderer.py | pythonthings/maildown | 4e0caf297bdf264ab5ead537eb45d20f187971a1 | [
"MIT"
] | 12 | 2019-04-30T20:47:17.000Z | 2019-06-27T11:19:46.000Z | tests/test_renderer.py | pythonthings/maildown | 4e0caf297bdf264ab5ead537eb45d20f187971a1 | [
"MIT"
] | 36 | 2019-05-08T23:50:41.000Z | 2021-07-30T17:46:24.000Z | import mock
from maildown import renderer
import mistune
import pygments
from pygments import lexers
from pygments.formatters import html
import premailer
import jinja2
def test_highlight_renderer(monkeypatch):
monkeypatch.setattr(mistune, "escape", mock.MagicMock())
monkeypatch.setattr(lexers, "get_lexer_by_... | 33.487805 | 72 | 0.758194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.108521 |
6f105f0927ad589737ae9605008d8f670158e4d5 | 1,423 | py | Python | practice/practice_4/main.py | Norbert2808/programming | 3dbab86718c1cee5efe3b4b92e4492f984c75ea2 | [
"Unlicense"
] | null | null | null | practice/practice_4/main.py | Norbert2808/programming | 3dbab86718c1cee5efe3b4b92e4492f984c75ea2 | [
"Unlicense"
] | null | null | null | practice/practice_4/main.py | Norbert2808/programming | 3dbab86718c1cee5efe3b4b92e4492f984c75ea2 | [
"Unlicense"
] | null | null | null | from generator import *
from iterator import *
def nInput():
while True:
try:
n = int(input("Enter n(size): "))
if n <= 0:
print("Input must be a positive integer!")
continue
except ValueError:
print("Not the correct value n!")
... | 26.351852 | 69 | 0.51019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 0.235418 |
6f11a287519a38fcf82e8d66f617304a1a4f570b | 688 | py | Python | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 37 | 2015-01-12T07:34:34.000Z | 2020-12-29T09:46:28.000Z | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 7 | 2015-04-10T14:55:34.000Z | 2021-04-28T10:00:47.000Z | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 17 | 2015-01-06T20:09:02.000Z | 2019-06-28T08:57:36.000Z | from setuptools import setup
version = '1.0.10'
setup(
name='grail',
version=version,
classifiers=[
'Intended Audience :: Developers',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2.7',
],
packages=[
... | 28.666667 | 111 | 0.640988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 401 | 0.582849 |
6f123e344c537798141dc193f3e6368ab0209301 | 964 | py | Python | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 7 | 2020-11-18T10:06:47.000Z | 2021-09-06T16:31:13.000Z | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 1 | 2021-02-20T19:32:11.000Z | 2021-02-20T19:32:11.000Z | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 2 | 2020-11-25T15:21:20.000Z | 2021-02-20T19:28:14.000Z | import os
import unittest
import tempfile
from boltdb import BoltDB
class TestFree(unittest.TestCase):
def setUp(self):
self.db = BoltDB(tempfile.mktemp())
def tearDown(self):
os.unlink(self.db.filename)
def test_free(self):
with self.db.update() as tx:
b = tx.bucke... | 24.717949 | 61 | 0.551867 | 892 | 0.925311 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.049793 |
6f149a0dd9e45b60d9d630858342198ce7d83ebf | 1,709 | py | Python | xen/xen-4.2.2/tools/xm-test/tests/xapi/01_xapi-vm_basic.py | zhiming-shen/Xen-Blanket-NG | 47e59d9bb92e8fdc60942df526790ddb983a5496 | [
"Apache-2.0"
] | 1 | 2018-02-02T00:15:26.000Z | 2018-02-02T00:15:26.000Z | xen/xen-4.2.2/tools/xm-test/tests/xapi/01_xapi-vm_basic.py | zhiming-shen/Xen-Blanket-NG | 47e59d9bb92e8fdc60942df526790ddb983a5496 | [
"Apache-2.0"
] | null | null | null | xen/xen-4.2.2/tools/xm-test/tests/xapi/01_xapi-vm_basic.py | zhiming-shen/Xen-Blanket-NG | 47e59d9bb92e8fdc60942df526790ddb983a5496 | [
"Apache-2.0"
] | 1 | 2019-05-27T09:47:18.000Z | 2019-05-27T09:47:18.000Z | #!/usr/bin/python
# Copyright (C) International Business Machines Corp., 2006
# Author: Stefan Berger <stefanb@us.ibm.com>
# Basic VM creation test
from XmTestLib import xapi
from XmTestLib.XenAPIDomain import XmTestAPIDomain
from XmTestLib import *
from xen.xend import XendAPIConstants
import commands
import os
tr... | 27.564516 | 99 | 0.774137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 432 | 0.252779 |
6f15c8f389db3a70f0c15433c6aa9fb9ab9b3570 | 369 | py | Python | formatter_sql.py | ZSCNetSupportDept/schedule-utils | e7ba0f34c7af77980758c9a0e9a82faca66f558c | [
"WTFPL"
] | null | null | null | formatter_sql.py | ZSCNetSupportDept/schedule-utils | e7ba0f34c7af77980758c9a0e9a82faca66f558c | [
"WTFPL"
] | null | null | null | formatter_sql.py | ZSCNetSupportDept/schedule-utils | e7ba0f34c7af77980758c9a0e9a82faca66f558c | [
"WTFPL"
] | null | null | null | def format_sql(schedule, table):
for week, schedule in schedule.items():
print(f"UPDATE {table} SET `block`=0, `week`={week} WHERE `name`='{schedule.leader}';")
for block, staffs in schedule.staffs.items():
for staff in staffs:
print(f"UPDATE {table} SET `block`={block}, ... | 46.125 | 99 | 0.596206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.422764 |
6f162b9d147aaaf9aa9b58f1a839359e4e0bcd22 | 9,024 | py | Python | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | 1 | 2020-08-03T16:24:06.000Z | 2020-08-03T16:24:06.000Z | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | null | null | null | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | null | null | null | """Fourier transform non-linear Poisson solver"""
# This module is concerned with solving the "non-linear Poisson"
# equation
# Delta(u) = f(u,z)
# on a uniform rectangular mesh, with u = u0 on the boundary.
#
# We solve the equation by an iterative method, solving an
# approximation to the linearized equation at ... | 38.729614 | 176 | 0.623559 | 6,212 | 0.688387 | 0 | 0 | 0 | 0 | 0 | 0 | 4,796 | 0.531472 |
6f177aacdeb67b4df7640983b24e1411fe279553 | 2,853 | py | Python | app/models/fragment.py | saury2013/Memento | dbb2031a5aff3064f40bcb5afe631de8724a547e | [
"MIT"
] | null | null | null | app/models/fragment.py | saury2013/Memento | dbb2031a5aff3064f40bcb5afe631de8724a547e | [
"MIT"
] | null | null | null | app/models/fragment.py | saury2013/Memento | dbb2031a5aff3064f40bcb5afe631de8724a547e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import datetime
from sqlalchemy.dialects.mysql import LONGTEXT
from sqlalchemy.orm import load_only
from sqlalchemy import func
from flask import abort
from markdown import Markdown,markdown
from app.models import db,fragment_tags_table
from app.models.tag import Tag
from app.whoo... | 38.04 | 95 | 0.660007 | 2,511 | 0.877665 | 0 | 0 | 500 | 0.174764 | 0 | 0 | 451 | 0.157637 |
6f18b3824b6daec3cd5fa315168eff3f33823b3f | 24,236 | py | Python | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 20 | 2021-03-11T18:37:32.000Z | 2022-03-23T19:38:07.000Z | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 75 | 2021-02-12T02:37:33.000Z | 2022-03-29T20:56:16.000Z | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 5 | 2021-04-07T15:46:53.000Z | 2021-09-18T16:55:00.000Z | # -*- coding: utf-8 -*-
from django.db import migrations, models
import django.utils.timezone
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
('auth', '0006_require_conte... | 74.572308 | 469 | 0.637523 | 24,071 | 0.993192 | 0 | 0 | 0 | 0 | 0 | 0 | 8,397 | 0.346468 |
6f1b13d2e45c97356d3de371d486f2f4c6321a9d | 746 | py | Python | cloudygram_api_server/models/telethon_model.py | Maverick1983/cloudygram-api-server | acb0b0ed173ebfff8b1a2b69efef3abe943e735e | [
"Unlicense"
] | 2 | 2021-05-25T15:24:03.000Z | 2021-05-27T09:35:56.000Z | cloudygram_api_server/models/telethon_model.py | skurob/cgas | 7660064882c5d5e56dbc4aa7e5be99754ffdcfd6 | [
"Unlicense"
] | 1 | 2021-05-27T08:32:55.000Z | 2021-05-27T10:02:35.000Z | cloudygram_api_server/models/telethon_model.py | skurob/cgas | 7660064882c5d5e56dbc4aa7e5be99754ffdcfd6 | [
"Unlicense"
] | 1 | 2021-06-03T10:06:49.000Z | 2021-06-03T10:06:49.000Z | from .constants import SUCCESS_KEY, MESSAGE_KEY, DATA_KEY
from cloudygram_api_server.scripts import CGMessage
from typing import List
class TtModels:
@staticmethod
def sing_in_failure(message) -> dict:
return {
SUCCESS_KEY : False,
MESSAGE_KEY : message
}
@staticme... | 25.724138 | 60 | 0.608579 | 609 | 0.816354 | 0 | 0 | 577 | 0.773458 | 0 | 0 | 0 | 0 |
6f1b8a527ec012630d1bead41b940dac1320a132 | 4,617 | py | Python | source1/bsp/entities/portal2_entity_handlers.py | tltneon/SourceIO | 418224918c2b062a4c78a41d4d65329ba2decb22 | [
"MIT"
] | 199 | 2019-04-02T02:30:58.000Z | 2022-03-30T21:29:49.000Z | source1/bsp/entities/portal2_entity_handlers.py | syborg64/SourceIO | e4ba86d801f518e192260af08ef533759c2e1cc3 | [
"MIT"
] | 113 | 2019-03-03T19:36:25.000Z | 2022-03-31T19:44:05.000Z | source1/bsp/entities/portal2_entity_handlers.py | syborg64/SourceIO | e4ba86d801f518e192260af08ef533759c2e1cc3 | [
"MIT"
] | 38 | 2019-05-15T16:49:30.000Z | 2022-03-22T03:40:43.000Z | import math
from mathutils import Euler
import bpy
from .portal2_entity_classes import *
from .portal_entity_handlers import PortalEntityHandler
local_entity_lookup_table = PortalEntityHandler.entity_lookup_table.copy()
local_entity_lookup_table.update(entity_class_handle)
class Portal2EntityHandler(PortalEntityHan... | 53.068966 | 109 | 0.753736 | 4,338 | 0.939571 | 0 | 0 | 0 | 0 | 0 | 0 | 523 | 0.113277 |
6f1ed343bbac27b5996271e2bb652c962f6512bc | 3,935 | py | Python | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | 1 | 2020-05-23T07:42:24.000Z | 2020-05-23T07:42:24.000Z | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | null | null | null | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | null | null | null | from collections import namedtuple
class SSParser:
"""
Create a SS block from PDB data.
Written to be agnostic of PDB parser, but for now only has PyMOL.
.. code-block:: python
import pymol2
with pymol2.PyMOL() as pymol:
pymol.cmd.load('model.pdb', 'prot')
ss = ... | 36.775701 | 99 | 0.516645 | 3,897 | 0.990343 | 0 | 0 | 651 | 0.165438 | 0 | 0 | 1,764 | 0.448285 |
6f1f6d17456ac645513cd747a8b58ba607f3346f | 748 | py | Python | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | 1 | 2019-06-18T09:50:29.000Z | 2019-06-18T09:50:29.000Z | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | 10 | 2019-12-24T07:05:29.000Z | 2022-02-10T07:42:44.000Z | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | null | null | null | from django.urls import reverse
from Net640.settings import FRONTEND_DATE_FORMAT
class AsDictMessageMixin:
"""
Mixin for representing user messages(post, comments) as dictionaries
"""
def as_dict(self, executor):
return {'content': self.content,
'user_has_like': self.has_like(... | 37.4 | 94 | 0.605615 | 664 | 0.887701 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.278075 |
6f1f734997fb69804fc6859e112a7faf8e27b40b | 16,030 | py | Python | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | null | null | null | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | 37 | 2022-01-15T21:42:23.000Z | 2022-02-23T23:43:31.000Z | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | null | null | null | """A module for converting a data source to TFRecords."""
import os
import json
import copy
import csv
from pathlib import Path
from shutil import rmtree
import PIL.Image as Image
import tensorflow as tf
from tqdm import tqdm
from .feature import items_to_features
from .errors import DirNotFoundError, InvalidDataset... | 33.818565 | 80 | 0.564255 | 8,221 | 0.512851 | 0 | 0 | 0 | 0 | 0 | 0 | 7,014 | 0.437555 |
6f1f9754bb7f6d41b30e4a4c10cead5e654ca04e | 2,743 | py | Python | edexOsgi/com.raytheon.edex.plugin.gfe/utility/cave_static/user/GFETEST/gfe/userPython/smartTools/ExUtil1.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | edexOsgi/com.raytheon.edex.plugin.gfe/utility/cave_static/user/GFETEST/gfe/userPython/smartTools/ExUtil1.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | edexOsgi/com.raytheon.edex.plugin.gfe/utility/cave_static/user/GFETEST/gfe/userPython/smartTools/ExUtil1.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | 1 | 2021-10-30T00:03:05.000Z | 2021-10-30T00:03:05.000Z | ##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to non... | 34.2875 | 96 | 0.596792 | 1,480 | 0.539555 | 0 | 0 | 0 | 0 | 0 | 0 | 1,722 | 0.62778 |
6f1fef78694338432a72024d0e2abb835ff193fd | 5,335 | py | Python | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | import pathlib
import datetime
path = 'c:/Users/Jacob/PycharmProjects/KryptoSkatt/Data/'
trans_in = list()
trans_out = list()
bitcoin_dict = dict()
ethereum_dict = dict()
USD_NOK_dict = dict()
def unix_time_to_date(timestamp):
return datetime.datetime.fromtimestamp(int(timestamp)).strftime('%Y-%m-%d')
def popul... | 37.307692 | 120 | 0.65567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,429 | 0.267854 |
6f21c952ba1d6ad55821e054cf4f9e1bcc0cbef5 | 1,222 | py | Python | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | import numpy as np
import scipy.special as ss
import pathlib
from Particle import Particle
def ql_global(l, particles):
# Keep only particles that have neighbors (this was changed 5/23/2020)
particles = [i for i in particles if len(Particle.data[i].neighs)>0]
neigh_total = sum([len(Particle.data[i].neig... | 20.366667 | 140 | 0.672668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.099836 |
6f22dd259e43cf8dd03f6e436b63e23ee3c3c16a | 133 | py | Python | mycelium/__init__.py | suet-lee/mycelium | db83cd3ab00697f28b2def2cebcdef52698fdd92 | [
"Apache-2.0"
] | 6 | 2021-05-23T17:36:02.000Z | 2022-01-21T20:34:17.000Z | mycelium/__init__.py | suet-lee/mycelium | db83cd3ab00697f28b2def2cebcdef52698fdd92 | [
"Apache-2.0"
] | null | null | null | mycelium/__init__.py | suet-lee/mycelium | db83cd3ab00697f28b2def2cebcdef52698fdd92 | [
"Apache-2.0"
] | 1 | 2021-06-17T20:35:10.000Z | 2021-06-17T20:35:10.000Z | from .switch import EKFSwitch, RelaySwitch, InitialModeSwitch
from .camera_t265 import CameraT265
from .camera_d435 import CameraD435 | 44.333333 | 61 | 0.864662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f24922c982451aa56d071ba87202ae9a17e9ae3 | 1,030 | py | Python | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | import os
import time
import datetime
def get_current_epoch():
return int((datetime.datetime.utcnow() - datetime.datetime(1970, 1, 1)).total_seconds() * 1000)
def get_sleep_parameter(event):
user_input = str(event.query["sleep"])
if not user_input or not user_input.isdigit() or int(user_input) < 0:
... | 23.953488 | 99 | 0.615534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.113592 |
6f24c0d9627e8e593e0f3f03a5c6df58f6f65c2e | 2,922 | py | Python | lib/vapi_cli/users.py | nogayama/vision-tools | f3041b519f30037d5b6390bce36a7f5efd3ed6ae | [
"Apache-2.0"
] | 15 | 2020-03-22T18:25:27.000Z | 2021-12-03T05:49:32.000Z | lib/vapi_cli/users.py | nogayama/vision-tools | f3041b519f30037d5b6390bce36a7f5efd3ed6ae | [
"Apache-2.0"
] | 8 | 2020-04-04T18:11:56.000Z | 2021-07-27T18:06:47.000Z | lib/vapi_cli/users.py | nogayama/vision-tools | f3041b519f30037d5b6390bce36a7f5efd3ed6ae | [
"Apache-2.0"
] | 19 | 2020-03-20T23:36:32.000Z | 2022-01-10T20:38:48.000Z | #!/usr/bin/env python3
# IBM_PROLOG_BEGIN_TAG
#
# Copyright 2019,2020 IBM International Business Machines Corp.
#
# 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.apa... | 29.816327 | 97 | 0.687543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,770 | 0.605749 |
6f25add3846c5ac4302faa8959401e3328e32572 | 2,223 | py | Python | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | 5 | 2019-05-30T20:15:34.000Z | 2020-04-16T08:21:16.000Z | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | 5 | 2021-08-25T14:43:34.000Z | 2022-02-10T00:14:09.000Z | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | null | null | null | # This script loads the pre-trained scaler and models and contains the
# predict_smile() function to take in an image and return smile predictions
import joblib
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import img_to_array, array_to_img
from PIL import Image
import numpy ... | 35.285714 | 92 | 0.706253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,284 | 0.577598 |
6f25c6dda6bae99b736764ebd22f5be07aae919e | 1,054 | py | Python | comicstreamerlib/gui_qt.py | rlugojr/ComicStreamer | 62eb914652695ea41a5e1f0cfbd044cbc6854e84 | [
"Apache-2.0"
] | 169 | 2015-01-08T03:23:37.000Z | 2022-02-27T22:09:25.000Z | comicstreamerlib/gui_qt.py | gwhittey23/ComicStreamer | 3e0fe2011984cee54197985cb313f5b6864f6f8c | [
"Apache-2.0"
] | 46 | 2015-01-10T23:47:51.000Z | 2020-05-31T01:04:28.000Z | comicstreamerlib/gui_qt.py | gwhittey23/ComicStreamer | 3e0fe2011984cee54197985cb313f5b6864f6f8c | [
"Apache-2.0"
] | 94 | 2015-01-26T01:57:52.000Z | 2022-01-25T17:11:31.000Z | import sys
import webbrowser
import os
from comicstreamerlib.folders import AppFolders
from PyQt4 import QtGui,QtCore
class SystemTrayIcon(QtGui.QSystemTrayIcon):
def __init__(self, icon, app):
QtGui.QSystemTrayIcon.__init__(self, icon, None)
self.app = app
self.menu = QtGui.QMenu(None)
... | 23.422222 | 65 | 0.624288 | 874 | 0.829222 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.025617 |
6f276dd2fdcae04762736c35013f0dd614ff7db4 | 3,892 | py | Python | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | null | null | null | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | 104 | 2017-09-07T08:06:49.000Z | 2018-04-16T09:17:18.000Z | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | 2 | 2017-11-17T17:23:04.000Z | 2017-12-15T07:13:20.000Z | """ IO Handler for LAS (and compressed LAZ) file format """
import laspy
import numpy as np
from laserchicken import keys
from laserchicken.io.base_io_handler import IOHandler
from laserchicken.io.utils import convert_to_short_type, select_valid_attributes
DEFAULT_LAS_ATTRIBUTES = {
'x',
'y',
'z',
'i... | 37.423077 | 98 | 0.610226 | 3,345 | 0.859455 | 0 | 0 | 0 | 0 | 0 | 0 | 1,122 | 0.288284 |
6f29a0478e6fdf417f21eeca439c92961dbbacca | 1,206 | py | Python | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | 7 | 2020-09-02T12:40:58.000Z | 2021-09-17T09:39:09.000Z | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | null | null | null | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
def read_file(prob_num):
df = pd.read_csv("dat/port" + str(prob_num) + ".txt", header=None,
delimiter="\s+", names=range(3)) # info on assets
n = int(df[0][0]) # number of assets
r = df[1: (n + 1)][0].values.reshape(n, 1) # mean of returns
s = df[1: (n + 1)][... | 29.414634 | 78 | 0.529022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 231 | 0.191542 |
6f2a6d704873d5624524e8309be808576dfeefc1 | 277 | py | Python | nmr/testing_PyBMRB.py | jameshtwose/han_jms_collabs | ee5cdb73b3e14e7f1f1e225dbc6a7d7d2b1b5b73 | [
"CC-BY-4.0"
] | null | null | null | nmr/testing_PyBMRB.py | jameshtwose/han_jms_collabs | ee5cdb73b3e14e7f1f1e225dbc6a7d7d2b1b5b73 | [
"CC-BY-4.0"
] | null | null | null | nmr/testing_PyBMRB.py | jameshtwose/han_jms_collabs | ee5cdb73b3e14e7f1f1e225dbc6a7d7d2b1b5b73 | [
"CC-BY-4.0"
] | null | null | null | from pybmrb import Spectra, Histogram
import plotly.io as pio
pio.renderers.default = "browser"
peak_list=Spectra.n15hsqc(bmrb_ids=15060, legend='residue')
peak_list=Spectra.c13hsqc(bmrb_ids=15060, legend='residue')
peak_list=Spectra.tocsy(bmrb_ids=15060, legend='residue') | 27.7 | 59 | 0.801444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.129964 |
6f2c2c62e843e5ddae5061bd51b492b090cca398 | 10,511 | py | Python | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | 1 | 2021-03-04T20:11:08.000Z | 2021-03-04T20:11:08.000Z | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | null | null | null | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | 1 | 2021-03-04T20:11:13.000Z | 2021-03-04T20:11:13.000Z | #!/usr/bin/env python3
import io
import xml.etree.ElementTree as ET
import argparse
ns = {'ns1': 'http://www.sifinfo.org/infrastructure/2.x',
'ns2': 'http://stumo.transcriptcenter.com'}
class StudentInfo:
def __init__(self, first_name, middle_name, last_name, ):
self.last_name = last_name
... | 38.083333 | 271 | 0.641328 | 2,389 | 0.227286 | 0 | 0 | 0 | 0 | 0 | 0 | 3,157 | 0.300352 |
6f2de6790116bc6ef41091db2832890bbce2457a | 2,623 | py | Python | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020-04-11 12:34
# @Author : speeding_moto
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
EUNITE_PATH = "dataset/eunite.xlsx"
PARSE_TABLE_NAME = "mainData"
def load_eunite_data():
"""
return the generated load data, include all the features... | 22.808696 | 91 | 0.661456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 621 | 0.236752 |
6f2ef602fc37c19ef3635c7ccba25fb1c352192a | 4,828 | py | Python | tests/test_fibsem.py | DeMarcoLab/piescope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 4 | 2019-06-07T07:28:48.000Z | 2022-02-23T23:02:08.000Z | tests/test_fibsem.py | DeMarcoLab/PIEScope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 44 | 2019-06-09T14:32:16.000Z | 2022-03-25T06:04:20.000Z | tests/test_fibsem.py | DeMarcoLab/piescope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 3 | 2019-06-07T07:31:09.000Z | 2021-03-01T10:47:24.000Z | import numpy as np
import pytest
from piescope.data.mocktypes import MockAdornedImage
import piescope.fibsem
autoscript = pytest.importorskip(
"autoscript_sdb_microscope_client", reason="Autoscript is not available."
)
try:
from autoscript_sdb_microscope_client import SdbMicroscopeClient
microscope = Sdb... | 31.763158 | 89 | 0.719553 | 0 | 0 | 0 | 0 | 1,225 | 0.253728 | 0 | 0 | 407 | 0.0843 |
6f2f4a5690de443a3e4f39e964bc36f35fd2bc86 | 8,206 | py | Python | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import csv
import numpy as np
import pydeck as pdk
from PIL import Image
def scatterplot():
skyscrapers_data = pd.read_csv("Skyscrapers2021.csv")
completion_year_List = []
meters_List = []
for row in skyscrapers_data... | 40.029268 | 115 | 0.598343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,118 | 0.25071 |
6f2f4c53b7a08acbd2a5aec32456145e78be64d9 | 4,746 | py | Python | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | 4 | 2021-05-30T22:15:34.000Z | 2022-03-12T23:01:36.000Z | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | null | null | null | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | 3 | 2021-06-08T12:04:43.000Z | 2021-06-12T13:44:48.000Z | from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout, BatchNormalization
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.models import Sequential
from tensorflow.keras.models import load_model
... | 37.370079 | 112 | 0.676991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,066 | 0.22461 |
6f2fda5d1a7f7912eef13fc0ff8b8f413ac5c9a7 | 1,373 | py | Python | corehq/form_processor/migrations/0049_case_attachment_props.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2020-05-05T13:10:01.000Z | 2020-05-05T13:10:01.000Z | corehq/form_processor/migrations/0049_case_attachment_props.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2019-12-09T14:00:14.000Z | 2019-12-09T14:00:14.000Z | corehq/form_processor/migrations/0049_case_attachment_props.py | MaciejChoromanski/commcare-hq | fd7f65362d56d73b75a2c20d2afeabbc70876867 | [
"BSD-3-Clause"
] | 5 | 2015-11-30T13:12:45.000Z | 2019-07-01T19:27:07.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
from django.db import models, migrations
import jsonfield.fields
class Migration(migrations.Migration):
dependencies = [
('form_processor', '0048_attachment_content_length_blob_id'),
]
operati... | 29.212766 | 69 | 0.600874 | 1,201 | 0.874727 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.17917 |
6f30daadb871f9a5d1c444d73777bde40a45df2e | 8,658 | py | Python | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | 1 | 2018-11-17T08:53:06.000Z | 2018-11-17T08:53:06.000Z | import re
import json
import tornado.web
import tornado.httpclient
tornado.httpclient.AsyncHTTPClient.configure("tornado.curl_httpclient.CurlAsyncHTTPClient")
import tornadoes
from utils.es import (ESQuery, ESQueryBuilder,
MGQueryError, ElasticSearchException,
ES_INDEX_NAME... | 38.825112 | 136 | 0.524371 | 8,258 | 0.9538 | 0 | 0 | 678 | 0.078309 | 0 | 0 | 1,200 | 0.1386 |
6f31322afdaea5a169b7473328dfc029ea716e21 | 10,203 | py | Python | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | null | null | null | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | null | null | null | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | 2 | 2020-03-19T11:14:13.000Z | 2021-08-14T14:24:08.000Z | """
Thư viện này viết ra phục vụ cho môn học `Các mô hình ngẫu nhiên và ứng dụng`
Sử dụng các thư viện `networkx, pandas, numpy, matplotlib`
"""
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imread
import pandas as pd
def _gcd(a, b):
if a == 0:
retu... | 32.287975 | 101 | 0.503283 | 9,750 | 0.944493 | 0 | 0 | 0 | 0 | 0 | 0 | 1,938 | 0.187736 |
6f319a2e3b23a21c6ff1ef69178d3b4bc2931b78 | 3,322 | py | Python | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | import os
import json
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, TensorDataset, SequentialSampler
from transformers import CamembertTokenizer, CamembertForSequenceClassification
import pandas as pd
from tqdm import tqdm, trange
# tokenizer = CamembertTokenizer.from_pretr... | 40.024096 | 147 | 0.705298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 875 | 0.263396 |
6f31bdd4727dd7111ae865267e15057fbd15d9fb | 29 | py | Python | Pacotes/ex022.py | TonyRio/Python-Exercicios | 8a72d1b12418c6485794dae184425df0daf098bb | [
"MIT"
] | null | null | null | Pacotes/ex022.py | TonyRio/Python-Exercicios | 8a72d1b12418c6485794dae184425df0daf098bb | [
"MIT"
] | null | null | null | Pacotes/ex022.py | TonyRio/Python-Exercicios | 8a72d1b12418c6485794dae184425df0daf098bb | [
"MIT"
] | null | null | null | print (19 // 2 )
print( 19%2) | 14.5 | 16 | 0.551724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f32849e7bc2a9a3bdff91b0ea97b373245c40e0 | 934 | py | Python | uscampgrounds/models.py | adamfast/geodjango-uscampgrounds | 0ddcdfee44dd2cb3525bbf852e93a58e5429d0d8 | [
"BSD-3-Clause"
] | 1 | 2020-06-26T22:32:25.000Z | 2020-06-26T22:32:25.000Z | uscampgrounds/models.py | adamfast/geodjango-uscampgrounds | 0ddcdfee44dd2cb3525bbf852e93a58e5429d0d8 | [
"BSD-3-Clause"
] | null | null | null | uscampgrounds/models.py | adamfast/geodjango-uscampgrounds | 0ddcdfee44dd2cb3525bbf852e93a58e5429d0d8 | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
from django.contrib.gis.db import models
class Campground(models.Model):
campground_code = models.CharField(max_length=64)
name = models.CharField(max_length=256)
campground_type = models.CharField(max_length=256)
phone = models.CharField(max_length=256)
comments = ... | 35.923077 | 78 | 0.755889 | 589 | 0.630621 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.101713 |
6f34182931d744d711a9eaa391580c23eb3546c2 | 383 | py | Python | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | #进行users 子应用的视图路由
from django.urls import path
from users.views import RegisterView, ImageCodeView,SmsCodeView
urlpatterns = [
#path的第一个参数：路由
#path的第二个函数：视图函数名
path('register/', RegisterView.as_view(),name='register'),
#图片验证码的路由
path('imagecode/',ImageCodeView.as_view(),name='imagecode'),
#短信... | 25.533333 | 64 | 0.715405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.449893 |
6f3478c403c5a4607452ef969c0985f21a247166 | 11,861 | py | Python | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from builtins import object
from builtins import str
import sys
import traceback
sys.path.append("/opt/contrail/fabric_ansible_playbooks/module_utils") # noqa
from filter_utils import _task_done, _task_error_log, _task_log, FilterLog
from job_manager.job_utils import JobVncApi
class FilterModule... | 39.802013 | 79 | 0.517073 | 11,558 | 0.974454 | 0 | 0 | 0 | 0 | 0 | 0 | 4,992 | 0.420875 |
6f355a92c02e0c6216729df9bbfec7b8bd8e4145 | 527 | py | Python | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 5 | 2021-01-04T16:39:09.000Z | 2021-08-03T15:26:49.000Z | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 6 | 2020-12-28T03:28:25.000Z | 2021-09-11T13:07:51.000Z | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 1 | 2021-09-15T20:08:44.000Z | 2021-09-15T20:08:44.000Z | """Provides the MENU html string which is appended to all templates
Please note that the MENU only works in [Fast](https://www.fast.design/) based templates.
If you need some sort of custom MENU html string feel free to customize this code.
"""
from awesome_panel_extensions.frameworks.fast.fast_menu import to_menu
f... | 31 | 89 | 0.73814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.493359 |
6f35c3c4af214e988cae123b40970464d22b95ab | 1,909 | py | Python | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | import os
import boto3
import numpy as np
import tensorflow as tf
from flask import Flask
from dotenv import load_dotenv
from pymongo import MongoClient
from keras.models import load_model
from sklearn.preprocessing import LabelEncoder
from werkzeug.datastructures import FileStorage
from werkzeug.middleware.proxy_fix i... | 30.790323 | 103 | 0.736511 | 595 | 0.311682 | 0 | 0 | 618 | 0.32373 | 0 | 0 | 316 | 0.165532 |
6f35ce7e4cec8e809fb6bd6d1db0395eade06403 | 633 | py | Python | misc/fill_blanks.py | netotz/codecamp | ff6b5ce1af1d99bbb00f7e095ca6beac92020b1c | [
"Unlicense"
] | null | null | null | misc/fill_blanks.py | netotz/codecamp | ff6b5ce1af1d99bbb00f7e095ca6beac92020b1c | [
"Unlicense"
] | null | null | null | misc/fill_blanks.py | netotz/codecamp | ff6b5ce1af1d99bbb00f7e095ca6beac92020b1c | [
"Unlicense"
] | 1 | 2020-04-05T06:22:18.000Z | 2020-04-05T06:22:18.000Z | # Given an array containing None values fill in the None values with most recent
# non None value in the array
from random import random
def generate_sample(n):
rand = 0.9
while n:
yield int(rand * 10) if rand % 1 > 1 / 3 else None
rand = random()
n -= 1
def fill1(array):
for i i... | 22.607143 | 81 | 0.593997 | 0 | 0 | 149 | 0.235387 | 0 | 0 | 0 | 0 | 110 | 0.173776 |
6f37404f1493e37478a90fbc8c755991983fccf9 | 3,836 | py | Python | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | # useful functions for BEAST tests
# put here instead of having in every tests
import os.path
import numpy as np
import h5py
from astropy.io import fits
from astropy.utils.data import download_file
__all__ = ['download_rename', 'compare_tables', 'compare_fits',
'compare_hdf5']
def download_rename(filena... | 31.966667 | 75 | 0.533889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,257 | 0.327685 |
6f38b06f669b537017b964e2c9d9bddd9b904d47 | 78,772 | py | Python | sdk/storage/azure-storage-blob/azure/storage/blob/_generated/aio/operations/_page_blob_operations.py | jalauzon-msft/azure-sdk-for-python | 15967f5c6d3376f2334a382486ba86339786e028 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/storage/azure-storage-blob/azure/storage/blob/_generated/aio/operations/_page_blob_operations.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/storage/azure-storage-blob/azure/storage/blob/_generated/aio/operations/_page_blob_operations.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | 54.551247 | 319 | 0.692441 | 77,261 | 0.980818 | 0 | 0 | 75,690 | 0.960874 | 75,429 | 0.957561 | 34,411 | 0.436843 |
6f38ecb37fdc239d1019da968ae8c9a2467372bc | 4,494 | py | Python | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | 3 | 2020-11-29T18:38:48.000Z | 2022-02-23T15:13:56.000Z | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | null | null | null | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | 2 | 2021-07-25T18:03:12.000Z | 2021-07-26T11:50:14.000Z | # Detlev Aschhoff info@vmais.de
# The MIT License (MIT)
#
# Copyright (c) 2020
#
#
# 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... | 29.372549 | 86 | 0.574099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,962 | 0.436582 |
6f392ad202bb9d010a7064f5991bc4aec4981e22 | 212 | py | Python | app/core/apps.py | KarimTayie/djangoadmin-test | 7218866dbf72ae580e605d2f32601557efe1baca | [
"MIT"
] | null | null | null | app/core/apps.py | KarimTayie/djangoadmin-test | 7218866dbf72ae580e605d2f32601557efe1baca | [
"MIT"
] | 1 | 2019-12-18T16:01:44.000Z | 2019-12-18T16:01:44.000Z | app/core/apps.py | KarimTayie/djangoadmin-test | 7218866dbf72ae580e605d2f32601557efe1baca | [
"MIT"
] | null | null | null | from django.apps import AppConfig
from django.contrib.admin.apps import AdminConfig
class CoreConfig(AppConfig):
name = "core"
class AppAdminConfig(AdminConfig):
default_site = "core.admin.AppAdmin"
| 17.666667 | 49 | 0.768868 | 121 | 0.570755 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.127358 |
6f3a244598ce08d2133e90a30870681650f7eccc | 1,249 | py | Python | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | 1 | 2020-06-15T07:38:12.000Z | 2020-06-15T07:38:12.000Z | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | 1 | 2021-11-12T11:01:45.000Z | 2021-11-12T11:01:45.000Z | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | null | null | null |
class Node(object):
# XXX: legacy code support
kind = property(lambda self: self.__class__)
def _iterChildren(self):
for name in self.childAttrNames:
yield (name, getattr(self, name))
return
children = property(_iterChildren)
def dump(self, stream, indent=0):
... | 27.152174 | 75 | 0.5004 | 1,246 | 0.997598 | 126 | 0.100881 | 0 | 0 | 0 | 0 | 201 | 0.160929 |
6f3bc48d07d6db347089edf80b48b6fd74fd6c76 | 2,108 | py | Python | download_cifar100_teacher.py | valeoai/QuEST | 02a23d2d8e0d059b4a30433f92eec5db146467f4 | [
"Apache-2.0"
] | 3 | 2021-06-03T22:45:47.000Z | 2022-03-27T18:50:06.000Z | download_cifar100_teacher.py | valeoai/QuEST | 02a23d2d8e0d059b4a30433f92eec5db146467f4 | [
"Apache-2.0"
] | null | null | null | download_cifar100_teacher.py | valeoai/QuEST | 02a23d2d8e0d059b4a30433f92eec5db146467f4 | [
"Apache-2.0"
] | 1 | 2021-08-20T15:39:40.000Z | 2021-08-20T15:39:40.000Z | import os
import urllib.request
os.makedirs('saved_models', exist_ok=True)
model_path = 'http://shape2prog.csail.mit.edu/repo/wrn_40_2_vanilla/ckpt_epoch_240.pth'
model_dir = 'saved_models/wrn_40_2_vanilla'
os.makedirs(model_dir, exist_ok=True)
urllib.request.urlretrieve(model_path, os.path.join(model_dir, mo... | 51.414634 | 91 | 0.766129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,034 | 0.490512 |
6f3bd5a39dfdffc25d3e3bcdbc5be1926e9811b6 | 48 | py | Python | aliyunsdkcore/__init__.py | gikoluo/aliyun-python-sdk-core | 5c4e79ad5f7668af048ae1a18d424c4919131a9c | [
"MIT"
] | null | null | null | aliyunsdkcore/__init__.py | gikoluo/aliyun-python-sdk-core | 5c4e79ad5f7668af048ae1a18d424c4919131a9c | [
"MIT"
] | null | null | null | aliyunsdkcore/__init__.py | gikoluo/aliyun-python-sdk-core | 5c4e79ad5f7668af048ae1a18d424c4919131a9c | [
"MIT"
] | 4 | 2017-07-27T11:27:01.000Z | 2020-09-01T07:49:21.000Z | __author__ = 'alex jiang'
__version__ = '2.3.3'
| 16 | 25 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.395833 |
6f3cd19601af3a6ec8e27fb00bfee8d9af472214 | 95,791 | py | Python | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 68 | 2020-03-25T10:04:21.000Z | 2022-03-21T01:03:39.000Z | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 32 | 2020-06-16T22:11:05.000Z | 2022-03-24T09:35:48.000Z | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 40 | 2020-03-21T23:43:39.000Z | 2022-01-03T14:04:31.000Z | #!/usr/bin/env python
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
Scenario spawning elements to make the town dynamic and interesting
"""
import math
from collections import OrderedDict
import py_trees
import numpy as np
import carla
fr... | 44.741242 | 120 | 0.608784 | 91,784 | 0.958149 | 0 | 0 | 0 | 0 | 0 | 0 | 18,687 | 0.195077 |
6f3d6d699afb7966b9d1c11324477310b224dc24 | 502 | py | Python | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 115 | 2015-03-23T13:34:42.000Z | 2022-03-21T00:27:21.000Z | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 56 | 2015-02-25T15:04:26.000Z | 2022-01-03T07:42:48.000Z | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 59 | 2015-11-26T11:44:51.000Z | 2022-03-21T00:27:22.000Z | #!/usr/bin/env python
from argparse import ArgumentParser
import sys
from comp_pi import compute_pi
def main():
arg_parser = ArgumentParser(description='compute pi using Fortran '
'function')
arg_parser.add_argument('n', default=1000, nargs='?',
hel... | 25.1 | 71 | 0.62749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0.197211 |
6f3d81cff53a00e04f111ddf20aa94a2c2b57bda | 3,885 | py | Python | test/lazy/test_cat_lazy_tensor.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | test/lazy/test_cat_lazy_tensor.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | test/lazy/test_cat_lazy_tensor.py | Mehdishishehbor/gpytorch | 432e537b3f6679ea4ab3acf33b14626b7e161c92 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
import torch
from Lgpytorch.lazy import CatLazyTensor, NonLazyTensor
from Lgpytorch.test.lazy_tensor_test_case import LazyTensorTestCase
class TestCatLazyTensor(LazyTensorTestCase, unittest.TestCase):
seed = 1
def create_lazy_tensor(self):
root = torch.randn(... | 31.844262 | 73 | 0.667954 | 3,642 | 0.937452 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.036551 |
6f3d9e5be4e02104620356819d1fd22753eef212 | 3,349 | py | Python | dbSchema.py | zikasak/ReadOnlyBot | 912403a5d6386c1ce691bbe22dad660af49b26e8 | [
"MIT"
] | 1 | 2020-12-17T20:50:29.000Z | 2020-12-17T20:50:29.000Z | dbSchema.py | zikasak/ReadOnlyBot | 912403a5d6386c1ce691bbe22dad660af49b26e8 | [
"MIT"
] | null | null | null | dbSchema.py | zikasak/ReadOnlyBot | 912403a5d6386c1ce691bbe22dad660af49b26e8 | [
"MIT"
] | null | null | null | import datetime
from sqlalchemy import Column, Integer, Boolean, ForeignKey, String, DateTime, UniqueConstraint, ForeignKeyConstraint
from sqlalchemy.orm import relationship
from dbConfig import Base, engine
class GroupStatus(Base):
__tablename__ = "groupstatus"
id = Column(Integer, primary_key=True)
sta... | 40.349398 | 121 | 0.701702 | 3,088 | 0.922066 | 0 | 0 | 0 | 0 | 0 | 0 | 602 | 0.179755 |
6f3e4697377cf878d0a79c14a88b2faa221afbab | 2,224 | py | Python | dqn/dqn_noisy_networks/model.py | AgentMaker/Paddle-RLBooks | 2e879f7ec3befa2058f0181e205b790d47770a85 | [
"Apache-2.0"
] | 127 | 2021-03-22T07:34:43.000Z | 2022-02-04T13:33:15.000Z | dqn/dqn_noisy_networks/model.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 1 | 2021-05-16T09:51:07.000Z | 2021-05-16T09:51:07.000Z | dqn/dqn_noisy_networks/model.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 16 | 2021-04-03T05:31:30.000Z | 2022-03-26T07:53:49.000Z | import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle.nn.initializer import Assign
import math
class NoisyLinear(nn.Linear):
def __init__(self, in_features, out_features, sigma_zero=0.4, bias=True):
super(NoisyLinear, self).__init__(in_features, out_features)
sigma_init ... | 38.344828 | 131 | 0.619155 | 2,096 | 0.942446 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.025629 |
6f3fea7c8f1bfc40279f3c4ea0ed4489009162a1 | 50 | py | Python | players/__init__.py | lejbron/arkenstone | d5341c27ba81eaf116e5ee5983b4fa422437d294 | [
"MIT"
] | null | null | null | players/__init__.py | lejbron/arkenstone | d5341c27ba81eaf116e5ee5983b4fa422437d294 | [
"MIT"
] | 4 | 2021-03-17T19:46:35.000Z | 2021-04-09T11:37:53.000Z | players/__init__.py | lejbron/arkenstone | d5341c27ba81eaf116e5ee5983b4fa422437d294 | [
"MIT"
] | 1 | 2021-04-11T07:50:56.000Z | 2021-04-11T07:50:56.000Z | default_app_config = 'players.apps.PlayersConfig'
| 25 | 49 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.56 |
6f405d7dc1023a5440b606895121fbd0e2262df7 | 1,631 | py | Python | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | 2 | 2021-01-01T12:07:27.000Z | 2021-09-10T03:57:18.000Z | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | null | null | null | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Forte Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 24.343284 | 77 | 0.660331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 948 | 0.581239 |
6f4276bb292fddfa79fdb894416964ab4cf57b3a | 4,834 | py | Python | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null |
import re
from AFD import AFD
class AFN:
def __init__(self, nome=None, estados=[], simbolos=[], estado_inicial=None, estados_finais=[], funcoes_programa={}):
self.nome = nome
self.estados = estados
self.simbolos = simbolos
self.estado_inicial = estado_inicial
self.estados... | 37.184615 | 156 | 0.528962 | 4,800 | 0.992966 | 0 | 0 | 2,510 | 0.519239 | 0 | 0 | 599 | 0.123914 |
6f428bd943ae35a4fd79dc7877617c8e0b05143f | 11,348 | py | Python | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | 1 | 2022-03-14T19:04:53.000Z | 2022-03-14T19:04:53.000Z | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | 10 | 2021-06-01T14:34:52.000Z | 2022-03-24T00:47:47.000Z | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | null | null | null | from typing import List, Dict
import pathlib
import shutil
import enum
from typer import Option as O_
import typer
from cs_tools.helpers.cli_ux import console, frontend, CSToolsGroup, CSToolsCommand
from cs_tools.util.datetime import to_datetime
from cs_tools.tools.common import run_tql_command, run_tql_script, tsloa... | 36.371795 | 139 | 0.607684 | 829 | 0.073053 | 0 | 0 | 3,684 | 0.324639 | 0 | 0 | 4,197 | 0.369845 |
6f454cefd9a2976b1fecad345694dd6dc38f8205 | 6,098 | py | Python | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | #!/usr/bin/python
import math
import random
from utils.log import log
from bots.simpleBots import BasicBot
def get_Chosen(num_cards, desired_score):
chosen = list(range(1,num_cards+1))
last_removed = 0
while sum(chosen) > desired_score:
#remove a random element
last_removed = random.randint(0,len(chosen)-1)
... | 38.594937 | 130 | 0.735323 | 5,659 | 0.928009 | 0 | 0 | 0 | 0 | 0 | 0 | 2,389 | 0.391768 |
6f459b6385eeaec430778e2b8c2a198dc774b06f | 1,280 | py | Python | tests/ws/TestWebsocketRegisterAgent.py | sinri/nehushtan | 6fda496e16a8d443a86c617173d35f31c392beb6 | [
"MIT"
] | null | null | null | tests/ws/TestWebsocketRegisterAgent.py | sinri/nehushtan | 6fda496e16a8d443a86c617173d35f31c392beb6 | [
"MIT"
] | 1 | 2020-11-20T03:10:23.000Z | 2020-11-20T09:30:34.000Z | tests/ws/TestWebsocketRegisterAgent.py | sinri/nehushtan | 6fda496e16a8d443a86c617173d35f31c392beb6 | [
"MIT"
] | 1 | 2021-10-13T10:16:58.000Z | 2021-10-13T10:16:58.000Z | import uuid
from typing import Dict, List
from nehushtan.ws.NehushtanWebsocketConnectionEntity import NehushtanWebsocketConnectionEntity
class TestWebsocketRegisterAgent:
def __init__(self):
self.__map: Dict[str, NehushtanWebsocketConnectionEntity] = {}
self.agent_identity = str(uuid.uuid4())
... | 36.571429 | 99 | 0.682813 | 1,139 | 0.889844 | 0 | 0 | 0 | 0 | 0 | 0 | 303 | 0.236719 |
6f47b4b418f600c91349bca3f946db81bd280d01 | 470 | py | Python | decorator_pattern/starbuzz/condiment.py | garyeechung/design-pattern-practice | 00ca66b79773de06c2d043c33caf37cb5f40a507 | [
"MIT"
] | 2 | 2021-02-25T06:04:34.000Z | 2021-02-25T06:13:48.000Z | decorator_pattern/starbuzz/condiment.py | garyeechung/design-pattern-practice | 00ca66b79773de06c2d043c33caf37cb5f40a507 | [
"MIT"
] | 1 | 2021-02-17T16:45:58.000Z | 2021-02-23T12:54:39.000Z | decorator_pattern/starbuzz/condiment.py | garyeechung/design-pattern-practice | 00ca66b79773de06c2d043c33caf37cb5f40a507 | [
"MIT"
] | null | null | null | from .interface import Beverage, CondimentDecorator
class Mocha(CondimentDecorator):
def __init__(self, beverage: Beverage):
super().__init__(beverage)
self._cost = 0.2
class Whip(CondimentDecorator):
def __init__(self, beverage: Beverage):
super().__init__(beverage)
self._... | 20.434783 | 51 | 0.67234 | 409 | 0.870213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f480b5d92cd89679ad9577e9f8230981a8ae4ea | 1,641 | py | Python | src/geo_testing/test_scripts/psgs_big.py | hpgl/hpgl | 72d8c4113c242295de740513093f5779c94ba84a | [
"BSD-3-Clause"
] | 70 | 2015-01-21T12:24:50.000Z | 2022-03-16T02:10:45.000Z | src/geo_testing/test_scripts/psgs_big.py | hpgl/hpgl | 72d8c4113c242295de740513093f5779c94ba84a | [
"BSD-3-Clause"
] | 8 | 2015-04-22T13:14:30.000Z | 2021-11-23T12:16:32.000Z | src/geo_testing/test_scripts/psgs_big.py | hpgl/hpgl | 72d8c4113c242295de740513093f5779c94ba84a | [
"BSD-3-Clause"
] | 18 | 2015-02-15T18:04:31.000Z | 2021-01-16T08:54:32.000Z | #
#
# Copyright 2009 HPGL Team
#
# This file is part of HPGL (High Perfomance Geostatistics Library).
#
# HPGL is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 2 of the License.
#
# HPGL is ... | 33.489796 | 229 | 0.702011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,033 | 0.629494 |
6f484367a2e17cf732eb810bd88c47b5caccd1c1 | 166 | py | Python | app/src/constants.py | hubacekjirka/dailyPhotoTwitterBot | abd490b73603883d4e71bfa6076e9925a055fcb7 | [
"MIT"
] | 1 | 2020-03-16T10:51:07.000Z | 2020-03-16T10:51:07.000Z | app/src/constants.py | hubacekjirka/dailyPhotoTwitterBot | abd490b73603883d4e71bfa6076e9925a055fcb7 | [
"MIT"
] | 6 | 2019-08-11T10:00:36.000Z | 2021-06-02T00:18:58.000Z | app/src/constants.py | hubacekjirka/dailyPhotoTwitterBot | abd490b73603883d4e71bfa6076e9925a055fcb7 | [
"MIT"
] | 2 | 2019-09-30T18:45:47.000Z | 2021-01-09T10:38:14.000Z | friendly_camera_mapping = {
"GM1913": "Oneplus 7 Pro",
"FC3170": "Mavic Air 2",
# An analogue scanner in FilmNeverDie
"SP500": "Canon AE-1 Program"
}
| 23.714286 | 41 | 0.638554 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.650602 |
6f486f62f9567ab5d28e26f5db6697fa139744ec | 1,622 | py | Python | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | 4 | 2021-10-04T19:53:04.000Z | 2021-12-17T07:08:42.000Z | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | null | null | null | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | null | null | null | from typing_extensions import Annotated, TypeGuard
from typing import TypeVar, List, Set, Dict
from refined.predicates import (
PositivePredicate,
NegativePredicate,
ValidIntPredicate,
ValidFloatPredicate,
EmptyPredicate,
NonEmptyPredicate,
TrimmedPredicate,
IPv4Predicate,
IPv6Predi... | 25.34375 | 75 | 0.727497 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.173243 |
6f4befaddb9a5f3e1b6a96cd0450bb3e135fa72a | 1,151 | py | Python | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | from setuptools import setup
with open("README.md", "r") as f:
long_description = f.read()
setup(name="SpotPRIS2",
version='0.3.1',
author="Adrian Freund",
author_email="adrian@freund.io",
url="https://github.com/freundTech/SpotPRIS2",
description="MPRIS2 interface for Spotify Connec... | 31.972222 | 66 | 0.569939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 586 | 0.509123 |
6f4c1702195066e993129a8eb57596bee6bd8234 | 2,371 | py | Python | partycipe/migrations/0001_initial.py | spexxsoldier51/PartyCipe | 5b8038db408fca1e1d568d6520daaf04889ccef0 | [
"CC0-1.0"
] | null | null | null | partycipe/migrations/0001_initial.py | spexxsoldier51/PartyCipe | 5b8038db408fca1e1d568d6520daaf04889ccef0 | [
"CC0-1.0"
] | null | null | null | partycipe/migrations/0001_initial.py | spexxsoldier51/PartyCipe | 5b8038db408fca1e1d568d6520daaf04889ccef0 | [
"CC0-1.0"
] | null | null | null | # Generated by Django 4.0.3 on 2022-04-02 17:32
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | 43.907407 | 126 | 0.578237 | 2,204 | 0.929566 | 0 | 0 | 0 | 0 | 0 | 0 | 307 | 0.129481 |
6f4c2801d9bd553871475afb7b65130adbc0816c | 7,963 | py | Python | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | 3 | 2019-02-03T00:11:34.000Z | 2020-12-08T03:12:29.000Z | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | null | null | null | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | 8 | 2019-03-08T03:20:24.000Z | 2021-12-29T09:12:54.000Z | #!/usr/bin/env python
# Filename: raster_statistic
"""
introduction: conduct statistic based on vectos, similar to https://github.com/perrygeo/python-rasterstats,
# but allow image tiles (multi-raster).
authors: Huang Lingcao
email:huanglingcao@gmail.com
add time: 02 March, 2021
"""
import os,sys
import ve... | 39.034314 | 128 | 0.672485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,253 | 0.282934 |
6f4f6ae38349e41996b32d4d35373858a72fda8b | 1,226 | py | Python | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | 2 | 2016-03-15T15:07:06.000Z | 2016-05-10T23:01:05.000Z | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null | # Defutils.py -- Contains parsing functions for definition files.
# Produces an organized list of tokens in the file.
def parse(filename):
f=open(filename, "r")
contents=f.read()
f.close()
# Tokenize the file:
#contents=contents.replace('\t', '\n')
lines=contents.splitlines()
outList=[]
... | 22.703704 | 65 | 0.596248 | 411 | 0.335237 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.247961 |
6f501da078c8264f3aa97dd237a4fd33b8efc2d3 | 492 | py | Python | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
import json
import sys
import clize
def get_file_handler(input_file):
if input_file is None:
return sys.stdin
return open(input_file, 'r')
@clize.clize
def main(input_file=None):
result = {'datas': []}
with get_file_handler(input_file) as input_han... | 17.571429 | 56 | 0.628049 | 0 | 0 | 0 | 0 | 237 | 0.481707 | 0 | 0 | 60 | 0.121951 |
6f51e1b0451d36b7c6fa181d10bcac54b6aff907 | 2,254 | py | Python | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | """
TutorialMirror
A simple mirror object to experiment with.
"""
from evennia import DefaultObject
from evennia.utils import make_iter, is_iter
from evennia import logger
class TutorialMirror(DefaultObject):
"""
A simple mirror object that
- echoes back the description of the object looking at it
... | 35.777778 | 96 | 0.612689 | 2,076 | 0.921029 | 0 | 0 | 0 | 0 | 0 | 0 | 1,556 | 0.690328 |
6f52486edca89f5433834a3b9b6ee311e8cbfc7a | 1,087 | py | Python | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | from tkinter import Tk
from turtle import ScrolledCanvas, TurtleScreen, RawTurtle
DIGIT2POS = dict(zip(
"123456789",
((100 * (j - 1), 100 * (-i + 1)) for i in range(3) for j in range(3))
))
def draw_dots(turt: RawTurtle) -> None:
penstate = turt.pen()
turt.penup()
for x, y in DIGIT2POS.values():
... | 25.880952 | 73 | 0.618215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.028519 |
6f52a901e875d32b20f9451889c4b2196619f283 | 3,879 | py | Python | synthesizing/gui/python-portmidi-0.0.7/test_pyportmidi.py | Chiel92/MusicTheory | ddaaa60042c2db3522144e90ceabcd1bbd9818c3 | [
"MIT"
] | null | null | null | synthesizing/gui/python-portmidi-0.0.7/test_pyportmidi.py | Chiel92/MusicTheory | ddaaa60042c2db3522144e90ceabcd1bbd9818c3 | [
"MIT"
] | null | null | null | synthesizing/gui/python-portmidi-0.0.7/test_pyportmidi.py | Chiel92/MusicTheory | ddaaa60042c2db3522144e90ceabcd1bbd9818c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# test code for PyPortMidi
# a port of a subset of test.c provided with PortMidi
# John Harrison
# harrison [at] media [dot] mit [dot] edu
# March 15, 2005: accommodate for SysEx messages and preferred list formats
# SysEx test code contributed by Markus Pfaff
# February 27, 2005... | 38.405941 | 105 | 0.63109 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,672 | 0.431039 |
6f541abd19a1111ebb51682e3f0933b11c46ab1e | 1,043 | py | Python | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | #coding=utf-8
import pandas as pd
def get_labels(init_file,predict_file):
init_label = []
predict_label = []
pd_init = pd.read_csv(init_file,sep="^",header=None)
for index,row in pd_init.iterrows():
init_label.append(row[0])
pd_predict = pd.read_csv(predict_file,sep=",",header=None)
... | 21.729167 | 121 | 0.663471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0.151486 |
6f54410348912d7242d35c3b0676a8ad9e832eda | 1,219 | py | Python | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | from ex01.funcoes import *
def arqExiste(nome):
try:
a = open(nome, 'rt') #rt = read text
a.close()
except FileNotFoundError:
return False
else:
return True
def criarArq(nome):
try:
a = open(nome, 'wt+') #wt = write text and + = create one if it not exists
... | 23 | 82 | 0.528302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.326497 |
6f54793f102a2f9346990845e8357d9f1db537d3 | 4,330 | py | Python | ck_airport.py | 58565856/checkinpanel | 58f2292d9c4d65f15ffd6bc4fa4b9f23214d3d72 | [
"MIT"
] | 3 | 2022-02-08T16:11:43.000Z | 2022-03-23T16:18:59.000Z | ck_airport.py | 58565856/checkinpanel | 58f2292d9c4d65f15ffd6bc4fa4b9f23214d3d72 | [
"MIT"
] | null | null | null | ck_airport.py | 58565856/checkinpanel | 58f2292d9c4d65f15ffd6bc4fa4b9f23214d3d72 | [
"MIT"
] | 2 | 2022-02-01T05:35:56.000Z | 2022-02-10T01:37:38.000Z | # -*- coding: utf-8 -*-
"""
:author @Icrons
cron: 20 10 * * *
new Env('机场签到');
"""
import json
import re
import traceback
import requests
import urllib3
from notify_mtr import send
from utils import get_data
urllib3.disable_warnings()
class SspanelQd(object):
def __init__(self, check_items):
self.chec... | 31.151079 | 138 | 0.505081 | 4,271 | 0.90911 | 0 | 0 | 3,643 | 0.775436 | 0 | 0 | 1,498 | 0.318859 |
6f55278da18ee1b87b293e3ecbf2009597eacc92 | 2,541 | py | Python | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------
# Author: Marcelo Villa-Piñeros
#
# Purpose: Determines the fire season for each window. The fire season is
# defined as the minimum number of consecutive months that contain more
# than 80% of the burned area (Archibald ett al 2013; Abatzoglou e... | 38.5 | 87 | 0.646989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,350 | 0.529619 |
6f5611d11711ac2d42a20770b0203d11ed9c22de | 5,719 | py | Python | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | 1 | 2021-08-01T02:26:59.000Z | 2021-08-01T02:26:59.000Z | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | null | null | null | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | null | null | null | import bpy
import json
from bpy.types import SpaceView3D
from bpy.app.handlers import persistent
from mathutils import Quaternion, Matrix, Vector
from holo.gestures import prediction_from_camera
def duplicate_window(window_type: str = 'INVOKE_DEFAULT') -> None:
"""Duplicates a new window into bpy.data.screens fro... | 43.656489 | 135 | 0.673719 | 0 | 0 | 0 | 0 | 237 | 0.041441 | 0 | 0 | 1,343 | 0.234831 |
6f57b93666fc12f3542b15b4104bbd2e0df4bc2a | 2,506 | py | Python | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | 2 | 2020-10-21T23:54:28.000Z | 2020-12-26T14:00:07.000Z | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | null | null | null | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 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, ... | 41.081967 | 75 | 0.7502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 571 | 0.227853 |
6f59ecc61ca13580a763007d05b1e7a17bc242cb | 165 | py | Python | api/models/target.py | zanachka/proxy-service | 769e263606a6e520efdfe7d119bb717487d0e27e | [
"MIT"
] | 1 | 2020-08-08T17:06:43.000Z | 2020-08-08T17:06:43.000Z | api/models/target.py | zanachka/proxy-service | 769e263606a6e520efdfe7d119bb717487d0e27e | [
"MIT"
] | 2 | 2021-03-30T01:01:59.000Z | 2021-03-30T01:01:59.000Z | api/models/target.py | zanachka/proxy-service | 769e263606a6e520efdfe7d119bb717487d0e27e | [
"MIT"
] | 4 | 2020-12-22T18:13:24.000Z | 2021-11-26T13:03:45.000Z | """
DB operations for Targets
"""
from api.models.base import DBModel
class TargetDB(DBModel):
'''DBModel for the targets table'''
tablename = 'targets'
| 13.75 | 39 | 0.684848 | 91 | 0.551515 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.466667 |
6f5a67d0b0a7c3b0ab3f8a01d7d7b783ef80e5c4 | 15,107 | py | Python | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | # myTeam.py
# ---------
# Licensing Infoesmation: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# A... | 34.256236 | 112 | 0.583769 | 12,912 | 0.854703 | 0 | 0 | 0 | 0 | 0 | 0 | 4,814 | 0.31866 |
6f5beb9a275be58bdbdf0da45a8be956e56f7cc6 | 850 | py | Python | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | class Solution:
# @param s, a string
# @param wordDict, a set<string>
# @return a string[]
def wordBreak(self, s, wordDict):
n = len(s)
res = []
chars = ''.join(wordDict)
for i in xrange(n):
if s[i] not in chars:
return res
lw = s[-1]
... | 28.333333 | 49 | 0.443529 | 850 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.090588 |
6f5c96a2170db005f0df74623642b0c6df9f9c2a | 433 | py | Python | setup.py | astrodeepnet/sbi_experiments | 70af041da08565ba15e0c011145b11ab3fd973d7 | [
"MIT"
] | 3 | 2021-12-11T20:57:07.000Z | 2021-12-14T22:20:42.000Z | setup.py | astrodeepnet/sbi_experiments | 70af041da08565ba15e0c011145b11ab3fd973d7 | [
"MIT"
] | 20 | 2021-11-15T17:08:54.000Z | 2022-03-25T10:32:52.000Z | setup.py | astrodeepnet/sbi_experiments | 70af041da08565ba15e0c011145b11ab3fd973d7 | [
"MIT"
] | 3 | 2021-11-22T21:44:04.000Z | 2021-12-14T10:31:46.000Z | from setuptools import setup, find_packages
setup(
name='SBIExperiments',
version='0.0.1',
url='https://github.com/astrodeepnet/sbi_experiments',
author='Justine Zeghal and friends',
description='Package for numerical experiments of SBI tools',
packages=find_packages(),
install_requires=[
'numpy>=1.1... | 24.055556 | 63 | 0.681293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.554273 |
6f5dc8fddaaa9b918695e316e6b45bac16a19712 | 880 | py | Python | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | null | null | null | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | null | null | null | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | 1 | 2018-09-14T08:32:07.000Z | 2018-09-14T08:32:07.000Z | import datetime
import libcloud
from libcloud.compute.types import Provider
from libcloud.compute.providers import get_driver
from pprint import pprint
Engine = get_driver(Provider.ELASTICHOSTS)
driver = Engine("733b7dc7-7498-4db4-9dc4-74d3fee8abed",
secret="6w6CDAqL6JyXFj3xNkWW2zpUjYfv9dYaLVdaaR4Y",... | 25.882353 | 83 | 0.729545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.253409 |
6f5df725ff569b1c32118a15233cd3613598d3f9 | 95 | py | Python | todo/admin.py | haidoro/TODO_lesson | fa0b92eb5d6f05ee15900dcc407e1ae3451fee5b | [
"CECILL-B"
] | null | null | null | todo/admin.py | haidoro/TODO_lesson | fa0b92eb5d6f05ee15900dcc407e1ae3451fee5b | [
"CECILL-B"
] | null | null | null | todo/admin.py | haidoro/TODO_lesson | fa0b92eb5d6f05ee15900dcc407e1ae3451fee5b | [
"CECILL-B"
] | null | null | null | from django.contrib import admin
from .models import TodoModel
admin.site.register(TodoModel)
| 19 | 32 | 0.831579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f60ca83d2a6e347812ac821a5981278c5493d55 | 1,853 | py | Python | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : antoniog1
Date : 2019-02-21
Purpose: Rock the Casbah
"""
import argparse
import sys
import os
# --------------------------------------------------
def get_args():
"""get command-line arguments"""
parser = argparse.ArgumentParser(
description='Argparse Python scri... | 28.953125 | 110 | 0.51538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 659 | 0.35564 |
6f60f993f98cc6ec2f6e673c50ecaa903ed57a90 | 4,042 | py | Python | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
#
# @Author: José Sánchez-Gallego
# @Date: Oct 10, 2017
# @Filename: target.py
# @License: BSD 3-Clause
# @Copyright: José Sánchez-Gallego
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import os
import pathlib
impo... | 30.854962 | 79 | 0.596487 | 3,666 | 0.90608 | 0 | 0 | 1,942 | 0.47998 | 0 | 0 | 2,786 | 0.688581 |
6f628605ce1d839a711154a74d7ae1743fe66d28 | 1,889 | py | Python | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 4 | 2021-08-15T04:55:44.000Z | 2022-02-01T09:19:57.000Z | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 53 | 2021-07-16T11:02:44.000Z | 2022-03-07T16:39:20.000Z | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 5 | 2021-07-15T18:17:53.000Z | 2022-01-29T08:09:16.000Z | # Copyright 2021 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
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, s... | 28.621212 | 87 | 0.755956 | 0 | 0 | 630 | 0.33351 | 858 | 0.454209 | 0 | 0 | 837 | 0.443092 |