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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c97fb65ad57fdb00bbfc2ec6a2a6804e6bf866f3 | 50 | py | Python | src/__init__.py | ProfessorManhattan/mod-ansible-autodoc | 3cc6fd25f817efc63ec0fc158088d637dd689ad3 | [
"MIT"
] | null | null | null | src/__init__.py | ProfessorManhattan/mod-ansible-autodoc | 3cc6fd25f817efc63ec0fc158088d637dd689ad3 | [
"MIT"
] | null | null | null | src/__init__.py | ProfessorManhattan/mod-ansible-autodoc | 3cc6fd25f817efc63ec0fc158088d637dd689ad3 | [
"MIT"
] | null | null | null | __name__ = "{{Name}}"
__version__ = "{{Version}}"
| 16.666667 | 27 | 0.6 |
c9801e27d75fc448c57278f4f2febd70cf000239 | 3,203 | py | Python | alfred/views/main_widget.py | Sefrwahed/Alfred | 0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d | [
"MIT"
] | 5 | 2016-09-06T10:29:24.000Z | 2017-02-22T14:07:48.000Z | alfred/views/main_widget.py | Sefrwahed/Alfred | 0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d | [
"MIT"
] | 66 | 2016-09-06T06:40:24.000Z | 2022-03-11T23:18:05.000Z | alfred/views/main_widget.py | Sefrwahed/Alfred | 0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d | [
"MIT"
] | 3 | 2016-10-06T15:17:38.000Z | 2016-12-04T13:25:53.000Z | import json
# PyQt imports
from PyQt5.QtCore import Qt, pyqtSignal, pyqtSlot
from PyQt5.QtWidgets import QDialog
from PyQt5.QtWebChannel import QWebChannel
# Local includes
from .ui.widget_ui import Ui_Dialog
from alfred import data_rc
import alfred.alfred_globals as ag
from alfred.modules.api.view_components import ... | 37.244186 | 138 | 0.67468 |
c98046d6e476b2db7f4e9b5014b73851b0a58d74 | 5,573 | py | Python | projects/11/jackTokenizer.py | nadavWeisler/Nand2Tetris | 59c2e616c45044c15b99aeb8459d39b59e5e07ba | [
"MIT"
] | null | null | null | projects/11/jackTokenizer.py | nadavWeisler/Nand2Tetris | 59c2e616c45044c15b99aeb8459d39b59e5e07ba | [
"MIT"
] | null | null | null | projects/11/jackTokenizer.py | nadavWeisler/Nand2Tetris | 59c2e616c45044c15b99aeb8459d39b59e5e07ba | [
"MIT"
] | null | null | null | import re
from utils import *
def get_token_type(self, token):
if self.is_keyword(token):
return 'keyword'
elif self.is_symbol(token):
return 'symbol'
elif self.is_identifier(token):
return 'identifier'
elif self.is_int(token):
return... | 33.981707 | 102 | 0.466535 |
c98092ff02eaf3078402f8fe2053638da3880d53 | 1,115 | py | Python | main.py | TimKozak/NearestFilms | 991f8b7b1cb9f7f47c6bff818aaae3b91eb80375 | [
"MIT"
] | 2 | 2021-02-15T20:38:03.000Z | 2021-12-15T12:42:54.000Z | main.py | TimKozak/NearestFilms | 991f8b7b1cb9f7f47c6bff818aaae3b91eb80375 | [
"MIT"
] | null | null | null | main.py | TimKozak/NearestFilms | 991f8b7b1cb9f7f47c6bff818aaae3b91eb80375 | [
"MIT"
] | null | null | null | """
Main module of a program.
"""
import folium
from tools import find_coords, user_input
def creating_map():
"""
Creates HTML page for a given data.
"""
year, coords = user_input()
locations = find_coords(year, coords)
mp = folium.Map(location=coords, zoom_start=10)
mp.add_child(folium.... | 27.195122 | 75 | 0.552466 |
c98373f93bfe070f74725f6b7462934da5ef570c | 1,366 | py | Python | ptCrypt/Symmetric/Modes/ECB.py | 0awawa0/aCrypt | 7c5d07271d524b9e5b03035d63587b69bff5abc7 | [
"MIT"
] | null | null | null | ptCrypt/Symmetric/Modes/ECB.py | 0awawa0/aCrypt | 7c5d07271d524b9e5b03035d63587b69bff5abc7 | [
"MIT"
] | 25 | 2021-12-08T07:20:11.000Z | 2021-12-10T12:07:05.000Z | ptCrypt/Symmetric/Modes/ECB.py | 0awawa0/aCrypt | 7c5d07271d524b9e5b03035d63587b69bff5abc7 | [
"MIT"
] | null | null | null | from ptCrypt.Symmetric.Modes.Mode import Mode
from ptCrypt.Symmetric.BlockCipher import BlockCipher
from ptCrypt.Symmetric.Paddings.Padding import Padding
| 35.947368 | 170 | 0.666179 |
c983d81c361719032d41d5bf9ca26fcce754a0f2 | 1,335 | py | Python | src/static-vxlan-agent/test/arp_tracer.py | jbemmel/srl-evpn-proxy | 240b8180ab03ee06a5043e646781860ba32a3530 | [
"Apache-2.0"
] | 8 | 2021-08-25T01:08:09.000Z | 2022-01-18T12:44:41.000Z | src/static-vxlan-agent/test/arp_tracer.py | jbemmel/srl-evpn-proxy | 240b8180ab03ee06a5043e646781860ba32a3530 | [
"Apache-2.0"
] | null | null | null | src/static-vxlan-agent/test/arp_tracer.py | jbemmel/srl-evpn-proxy | 240b8180ab03ee06a5043e646781860ba32a3530 | [
"Apache-2.0"
] | 1 | 2022-03-13T22:36:18.000Z | 2022-03-13T22:36:18.000Z | #!/usr/bin/env python3 # Originally python2
# Sample from https://www.collabora.com/news-and-blog/blog/2019/05/14/an-ebpf-overview-part-5-tracing-user-processes/
# Python program with embedded C eBPF program
from bcc import BPF, USDT
import sys
bpf = """
#include <uapi/linux/ptrace.h>
BPF_PERF_OUTPUT(events);
struc... | 31.046512 | 117 | 0.702622 |
c984c4501d6e403db82fdd8d7b4131f8e313f048 | 1,004 | py | Python | test/test_reference.py | ognibit/sudoku-solver | 1c47b80b36b4bd57a11a4084e04defd849531782 | [
"Apache-2.0"
] | null | null | null | test/test_reference.py | ognibit/sudoku-solver | 1c47b80b36b4bd57a11a4084e04defd849531782 | [
"Apache-2.0"
] | null | null | null | test/test_reference.py | ognibit/sudoku-solver | 1c47b80b36b4bd57a11a4084e04defd849531782 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pytest
from sudoku import SudokuLine, build_rows, build_columns
from sudoku import SudokuSquare, build_squares
| 23.348837 | 56 | 0.657371 |
c985d647edcaf8c1a409b8e34f91d4add29cf574 | 1,424 | py | Python | ReaderBoard/Score.py | JongbinRyu/Ajou_Challenge | 26c1e6e8464f2b50941dccbbca017ab99b6d4489 | [
"MIT"
] | null | null | null | ReaderBoard/Score.py | JongbinRyu/Ajou_Challenge | 26c1e6e8464f2b50941dccbbca017ab99b6d4489 | [
"MIT"
] | null | null | null | ReaderBoard/Score.py | JongbinRyu/Ajou_Challenge | 26c1e6e8464f2b50941dccbbca017ab99b6d4489 | [
"MIT"
] | null | null | null | import os
import json
import datetime
from pytz import timezone, utc
def update_total_score(name_list_dict, score_rules, now_kst_aware, penalty_const=.1):
"""
Update Total Score when scheduled day written in "ScoreRule.json"
:param name_list_dict: This contains contestants score info loaded from "namelist.... | 45.935484 | 95 | 0.67486 |
c98644a1740c0b9a2213d68e9dafb7bed9e7032f | 3,500 | py | Python | src/utils/loaders.py | OE-Heart/span-based-srl | a03b46a5ea4c59e14bea80ea724b0de276df4bc1 | [
"MIT"
] | 41 | 2018-10-05T21:48:33.000Z | 2022-02-16T10:24:39.000Z | src/utils/loaders.py | OE-Heart/span-based-srl | a03b46a5ea4c59e14bea80ea724b0de276df4bc1 | [
"MIT"
] | 9 | 2018-10-21T14:45:01.000Z | 2022-02-25T14:25:29.000Z | src/utils/loaders.py | OE-Heart/span-based-srl | a03b46a5ea4c59e14bea80ea724b0de276df4bc1 | [
"MIT"
] | 9 | 2018-10-16T07:00:51.000Z | 2022-02-17T13:10:47.000Z | import os
import gzip
import pickle
import h5py
import numpy as np
import theano
from utils.misc import get_file_names_in_dir
from utils.vocab import UNK
class Conll05Loader(Loader):
class Conll12Loader(Loader):
def load_emb(path):
word_list = []
emb = []
with open(path) as f:
for line in f... | 26.315789 | 69 | 0.513714 |
a309e90ac2f88ea56edc2aaeacb9b7f74fba3681 | 591 | py | Python | system_test_progress_tracking/progress_tracking/urls.py | TobKed/system_test_progress_tracking | 633792e7057289b6a23db30c6353241123eaa2e4 | [
"MIT"
] | null | null | null | system_test_progress_tracking/progress_tracking/urls.py | TobKed/system_test_progress_tracking | 633792e7057289b6a23db30c6353241123eaa2e4 | [
"MIT"
] | 3 | 2020-02-11T23:29:05.000Z | 2021-06-10T21:03:42.000Z | system_test_progress_tracking/progress_tracking/urls.py | TobKed/system_test_progress_tracking | 633792e7057289b6a23db30c6353241123eaa2e4 | [
"MIT"
] | 2 | 2019-01-24T20:39:31.000Z | 2019-01-29T07:42:27.000Z | from django.urls import path
from .views import (
home,
MachineDetailView,
MachineListView,
DryRunDataDetailView,
MachineLastDataView,
)
urlpatterns = [
path('', MachineListView.as_view(), name='home-view'),
path('', MachineListView.as_view(), name='machine-list-view'),
path('machine/<... | 32.833333 | 103 | 0.698816 |
a30a5b9c466fd79c98aae5b462aff3ba4ea72d40 | 480 | py | Python | main.py | mrroot5/wall-builder | 2f0414359080fecdba5312463dd05cd9c11da6c1 | [
"MIT"
] | null | null | null | main.py | mrroot5/wall-builder | 2f0414359080fecdba5312463dd05cd9c11da6c1 | [
"MIT"
] | null | null | null | main.py | mrroot5/wall-builder | 2f0414359080fecdba5312463dd05cd9c11da6c1 | [
"MIT"
] | null | null | null | """
Python version 3.6.7
OS Linux Ubuntu 18.04.1 LTS
Created: 30/11/2018 17:12
Finished: 30/11/2018 19:
Author: Adrian Garrido Garcia
"""
import sys
from wall.builder import build_a_wall
if __name__ == '__main__':
try:
build_a_wall(sys.argv[1], sys.argv[2])
except IndexError:
rows = input("Ple... | 25.263158 | 83 | 0.672917 |
a30c417b3a747422a1fa92c8a3a68fa2a0ddf883 | 2,770 | py | Python | dataset.py | njoel-ethz/saliency-rl | 61cf7acf10569b04c3a59528a4fc511c6e794895 | [
"MIT"
] | null | null | null | dataset.py | njoel-ethz/saliency-rl | 61cf7acf10569b04c3a59528a4fc511c6e794895 | [
"MIT"
] | null | null | null | dataset.py | njoel-ethz/saliency-rl | 61cf7acf10569b04c3a59528a4fc511c6e794895 | [
"MIT"
] | null | null | null | import os
import csv
import cv2
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
def transform(snippet):
''' stack & noralization '''
snippet = np.concatenate(snippet, axis=-1)
snippet = torch.from_numpy(snippet).permute(2, 0, 1).contiguous().float()
snippet = snippet.mu... | 37.432432 | 136 | 0.615884 |
a30c4f34a3721276b10ca7d81878d13ffef5c2e3 | 1,342 | py | Python | back-end/api/migrations/0003_address_event.py | tuftsjumbocode/bostonathleticsassociation | 4a01607bd530e9f4973d3b345a442b4eceafa8e1 | [
"MIT"
] | 2 | 2017-01-30T01:33:07.000Z | 2017-02-12T22:00:19.000Z | back-end/api/migrations/0003_address_event.py | tuftsjumbocode/bostonathleticsassociation | 4a01607bd530e9f4973d3b345a442b4eceafa8e1 | [
"MIT"
] | 90 | 2017-02-02T01:56:30.000Z | 2017-05-07T02:58:46.000Z | back-end/api/migrations/0003_address_event.py | tuftsjumbocode/bostonathleticsassociation | 4a01607bd530e9f4973d3b345a442b4eceafa8e1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-19 08:29
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 34.410256 | 114 | 0.551416 |
a30c6a24fddc04808da5db4f7c0d305641d9674e | 8,505 | py | Python | Pre-Processing/generate_tfrecords.py | beric7/COCO-Bridge | c3ae8e5eb72cbc2fce982215c55bac09844764d8 | [
"Apache-2.0"
] | 2 | 2020-07-06T23:25:12.000Z | 2021-09-21T23:11:55.000Z | Pre-Processing/generate_tfrecords.py | beric7/COCO-Bridge | c3ae8e5eb72cbc2fce982215c55bac09844764d8 | [
"Apache-2.0"
] | null | null | null | Pre-Processing/generate_tfrecords.py | beric7/COCO-Bridge | c3ae8e5eb72cbc2fce982215c55bac09844764d8 | [
"Apache-2.0"
] | null | null | null | # generate_tfrecords.py
# Note: substantial portions of this code, expecially the create_tf_example() function, are credit to Dat Tran
# see his website here: https://towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9
# and his GitHub here: https://github.com... | 45 | 142 | 0.642563 |
a30d6af902c1a8c64022ae0458cac17dd1fa6032 | 6,398 | py | Python | openprocurement/chronograph/__init__.py | yshalenyk/openprocurement.chronograph | c15a6da519cea8a09b5d9a943752a49dd6f5131f | [
"Apache-2.0"
] | null | null | null | openprocurement/chronograph/__init__.py | yshalenyk/openprocurement.chronograph | c15a6da519cea8a09b5d9a943752a49dd6f5131f | [
"Apache-2.0"
] | null | null | null | openprocurement/chronograph/__init__.py | yshalenyk/openprocurement.chronograph | c15a6da519cea8a09b5d9a943752a49dd6f5131f | [
"Apache-2.0"
] | null | null | null | import gevent.monkey
gevent.monkey.patch_all()
import os
from logging import getLogger
#from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
from apscheduler.schedulers.gevent import GeventScheduler as Scheduler
from couchdb import Server, Session
from couchdb.http import Unauthorized, extract... | 44.124138 | 215 | 0.664739 |
a30f4fc2ab1f50558de3a730d24cdd2bc794f650 | 1,078 | py | Python | poc/setmanyblocks.py | astro-pi/SpaceCRAFT | b577681b31c0554db9e77ed816cd63900fe195ca | [
"BSD-3-Clause"
] | 12 | 2016-03-05T16:40:16.000Z | 2019-10-27T07:48:12.000Z | poc/setmanyblocks.py | astro-pi/SpaceCRAFT | b577681b31c0554db9e77ed816cd63900fe195ca | [
"BSD-3-Clause"
] | 1 | 2016-03-03T16:54:59.000Z | 2016-03-09T12:14:33.000Z | poc/setmanyblocks.py | astro-pi/SpaceCRAFT | b577681b31c0554db9e77ed816cd63900fe195ca | [
"BSD-3-Clause"
] | 2 | 2015-12-01T08:01:07.000Z | 2019-10-27T07:48:19.000Z | #code which sends many setBlock commands all in one go, to see if there was
# a performance improvement.. It sent them a lot quicker, but you still had to wait
# for minecraft to catch up
import mcpi.minecraft as minecraft
import mcpi.block as block
import mcpi.util as util
from time import time, sleep
mc = minecraft.... | 25.069767 | 83 | 0.666976 |
a31137aa372b035d450bbbaac3b873065c92d845 | 2,059 | py | Python | modules/yatse/templatetags/strings.py | Hinnack/yatse | 3386630d974cfe2d832c0297defd1822e463855d | [
"MIT"
] | null | null | null | modules/yatse/templatetags/strings.py | Hinnack/yatse | 3386630d974cfe2d832c0297defd1822e463855d | [
"MIT"
] | 1 | 2021-02-22T18:06:52.000Z | 2021-02-22T18:06:52.000Z | modules/yatse/templatetags/strings.py | Hinnack/yatse | 3386630d974cfe2d832c0297defd1822e463855d | [
"MIT"
] | null | null | null | from django import template
from django.conf import settings
from django.utils.translation import ugettext as _
from django.forms.forms import pretty_name
#from yats.diff import generate_patch_html
import re
try:
import json
except ImportError:
from django.utils import simplejson as json
register = template.L... | 27.824324 | 107 | 0.599806 |
a3140847cb4f8ae37f600751b8e796fb5fea58ee | 129 | py | Python | Lib/test/test_import/data/circular_imports/rebinding.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/test/test_import/data/circular_imports/rebinding.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_import/data/circular_imports/rebinding.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | """Test the binding of names when a circular zaimportuj shares the same name jako an
attribute."""
z .rebinding2 zaimportuj util
| 32.25 | 84 | 0.782946 |
a3156184194412b6c58e7f98504a56f1d8eea1bf | 1,132 | py | Python | Chapter08/8_2_save_packets_in_pcap_format.py | shamir456/Python-Network-Programming-Cookbook-Second-Edition | 7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b | [
"MIT"
] | 125 | 2017-08-10T18:09:55.000Z | 2022-03-29T10:14:31.000Z | Chapter08/8_2_save_packets_in_pcap_format.py | shamir456/Python-Network-Programming-Cookbook-Second-Edition | 7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b | [
"MIT"
] | 4 | 2018-01-19T05:42:58.000Z | 2019-03-07T06:18:52.000Z | Chapter08/8_2_save_packets_in_pcap_format.py | shamir456/Python-Network-Programming-Cookbook-Second-Edition | 7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b | [
"MIT"
] | 79 | 2017-08-15T00:40:36.000Z | 2022-02-26T10:20:24.000Z | #!/usr/bin/env python
# Python Network Programming Cookbook, Second Edition -- Chapter - 8
# This program is optimized for Python 2.7.12 and Python 3.5.2.
# It may run on any other version with/without modifications.
import os
from scapy.all import *
pkts = []
count = 0
pcapnum = 0
if __name__ == '__main__':
pr... | 24.085106 | 74 | 0.590106 |
a316647d2535cb3b325343092f5d4ee583cf738e | 2,862 | py | Python | tests/test_init.py | Javex/pyramid_crud | 873ca8a84c9e5030257a327259f7f1972ba42c9d | [
"MIT"
] | 4 | 2015-03-04T11:35:15.000Z | 2017-05-05T04:00:26.000Z | tests/test_init.py | Javex/pyramid_crud | 873ca8a84c9e5030257a327259f7f1972ba42c9d | [
"MIT"
] | 16 | 2015-02-14T00:56:03.000Z | 2015-02-19T22:23:13.000Z | tests/test_init.py | Javex/pyramid_crud | 873ca8a84c9e5030257a327259f7f1972ba42c9d | [
"MIT"
] | 3 | 2015-08-25T13:20:17.000Z | 2020-05-10T19:02:18.000Z | import pyramid_crud
import pytest
from pyramid.exceptions import ConfigurationError
from pyramid.interfaces import ISessionFactory
def test_check_session_no_factory(config):
with pytest.raises(ConfigurationError):
pyramid_crud.check_session(config)
def test_parse_options_from_settings_defaults():
... | 30.446809 | 74 | 0.759609 |
a3168c69f4eb9f2ba122306fee2a6890c6f1230e | 1,621 | py | Python | Assignments/Sprint2/FinValuePivot.py | mark-morelos/CS_Notes | 339c47ae5d7e678b7ac98d6d78857d016c611e38 | [
"MIT"
] | 1 | 2021-02-28T07:43:59.000Z | 2021-02-28T07:43:59.000Z | Assignments/Sprint2/FinValuePivot.py | mark-morelos/CS_Notes | 339c47ae5d7e678b7ac98d6d78857d016c611e38 | [
"MIT"
] | null | null | null | Assignments/Sprint2/FinValuePivot.py | mark-morelos/CS_Notes | 339c47ae5d7e678b7ac98d6d78857d016c611e38 | [
"MIT"
] | 1 | 2021-03-03T03:52:21.000Z | 2021-03-03T03:52:21.000Z | """
You are given a sorted array in ascending order that is rotated at some unknown pivot
(i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]) and a target value.
Write a function that returns the target value's index. If the target value is not present
in the array, return -1.
You may assume no duplicate exists in... | 25.730159 | 91 | 0.58359 |
a31d402b111d9ee652386e79f628f7e0ddffa959 | 987 | py | Python | utility.py | Forthyse/Forsythe-Bot | c8871b1fde456403d951a9dde13dddaca2d3f67b | [
"MIT"
] | 3 | 2021-01-18T22:10:05.000Z | 2022-01-07T21:46:34.000Z | utility.py | Forthyse/Forsythe-Bot | c8871b1fde456403d951a9dde13dddaca2d3f67b | [
"MIT"
] | null | null | null | utility.py | Forthyse/Forsythe-Bot | c8871b1fde456403d951a9dde13dddaca2d3f67b | [
"MIT"
] | 2 | 2020-10-21T01:27:34.000Z | 2021-01-02T23:51:02.000Z | import discord
from discord.ext import commands
| 37.961538 | 140 | 0.64843 |
a31f5b674099dd26d6054dab2dbff6ca679ee640 | 8,215 | py | Python | torch/ao/quantization/fx/fusion_patterns.py | li-ang/pytorch | 17f3179d607b9a2eac5efdfc36673e89f70e6628 | [
"Intel"
] | 1 | 2022-02-15T07:07:31.000Z | 2022-02-15T07:07:31.000Z | torch/ao/quantization/fx/fusion_patterns.py | xiaozhoushi/pytorch | 7dba88dfdb414def252531027658afe60409291d | [
"Intel"
] | null | null | null | torch/ao/quantization/fx/fusion_patterns.py | xiaozhoushi/pytorch | 7dba88dfdb414def252531027658afe60409291d | [
"Intel"
] | null | null | null | import torch
from torch.fx.graph import Node
from .pattern_utils import (
register_fusion_pattern,
)
from .utils import _parent_name
from .quantization_types import QuantizerCls, NodePattern, Pattern
from ..fuser_method_mappings import get_fuser_method
from ..fuser_method_mappings import get_fuser_method_new
from a... | 48.89881 | 118 | 0.684967 |
a31fadf9b33e9208ee29c713435331b8514e5684 | 9,786 | py | Python | derender/networks.py | tonyman1008/RADAR | b2fc944230c2fd445528a9827eea42e1a94957b8 | [
"CC0-1.0"
] | 38 | 2021-08-19T18:07:49.000Z | 2022-02-28T10:41:29.000Z | derender/networks.py | tonyman1008/RADAR | b2fc944230c2fd445528a9827eea42e1a94957b8 | [
"CC0-1.0"
] | 1 | 2021-10-30T14:43:18.000Z | 2021-11-13T01:18:53.000Z | derender/networks.py | tonyman1008/RADAR | b2fc944230c2fd445528a9827eea42e1a94957b8 | [
"CC0-1.0"
] | 5 | 2021-08-20T05:12:42.000Z | 2022-01-13T06:14:27.000Z | import numpy as np
import torch
import torch.nn as nn
import torchvision
EPS = 1e-7
| 41.466102 | 128 | 0.54251 |
a31fd12f7a47de59f2c6b4b5f49ad1fb2f1eaf44 | 244 | py | Python | app/generator-input.py | consoles/dsa4js | 83a064c3485e33bf3f0c70a10167b8a5bc08e10e | [
"MIT"
] | 2 | 2018-01-19T08:16:13.000Z | 2019-08-15T12:26:08.000Z | app/generator-input.py | consoles/dsa4js | 83a064c3485e33bf3f0c70a10167b8a5bc08e10e | [
"MIT"
] | null | null | null | app/generator-input.py | consoles/dsa4js | 83a064c3485e33bf3f0c70a10167b8a5bc08e10e | [
"MIT"
] | 1 | 2019-08-15T12:26:11.000Z | 2019-08-15T12:26:11.000Z | #!/usr/bin python
#coding:utf-8
#
# 10^7
import random
RANGE = 10000000
f = open('../test/input/bitSort.input','w')
for i in random.sample(range(RANGE),RANGE):
f.write(str(i) + '\n')
f.close()
print 'generator input file success!' | 15.25 | 43 | 0.672131 |
a323da1e6144f951fab0d4c366a9e8d27bf93ca5 | 46,478 | py | Python | sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py | dubiety/azure-sdk-for-python | 62ffa839f5d753594cf0fe63668f454a9d87a346 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # 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) AutoRest Code Generator.
# Changes may ... | 39.48853 | 146 | 0.650652 |
a3256f1d5ce64484739511b64bf4572f8dcbb09c | 407 | py | Python | utils.py | AbinavRavi/Federated-learning-MI | 06294e5de94bf5b8826dedb469a3430fdae76e37 | [
"MIT"
] | 3 | 2021-04-04T19:32:29.000Z | 2022-02-10T05:25:27.000Z | utils.py | AbinavRavi/Federated-learning-MI | 06294e5de94bf5b8826dedb469a3430fdae76e37 | [
"MIT"
] | null | null | null | utils.py | AbinavRavi/Federated-learning-MI | 06294e5de94bf5b8826dedb469a3430fdae76e37 | [
"MIT"
] | null | null | null | import nibabel as nib
import numpy as np
from glob import glob
| 22.611111 | 44 | 0.638821 |
a3259ed1f24efeaecf755551060f140ed167c93c | 576 | py | Python | tests/test_ebook.py | plysytsya/doublebook | 09dcd5399288c9544df928136a9e2f2e54639cbd | [
"MIT"
] | null | null | null | tests/test_ebook.py | plysytsya/doublebook | 09dcd5399288c9544df928136a9e2f2e54639cbd | [
"MIT"
] | null | null | null | tests/test_ebook.py | plysytsya/doublebook | 09dcd5399288c9544df928136a9e2f2e54639cbd | [
"MIT"
] | null | null | null | import os
import unittest
from doublebook.ebook import Ebook
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
if __name__ == '__main__':
unittest.main(verbosity=3)
| 22.153846 | 72 | 0.689236 |
a32a2a3e9e3b2d5447dc0047b1a00f9577f9eedc | 13,924 | py | Python | build_github_actions.py | Geequlim/ECMAScript | 8817a9f63b28d07bde65334e8663d324da06282b | [
"MIT"
] | 155 | 2019-02-04T20:24:35.000Z | 2020-07-10T00:14:37.000Z | build_github_actions.py | Geequlim/ECMAScript | 8817a9f63b28d07bde65334e8663d324da06282b | [
"MIT"
] | 25 | 2019-02-15T05:36:02.000Z | 2020-07-10T08:06:00.000Z | build_github_actions.py | Geequlim/ECMAScript | 8817a9f63b28d07bde65334e8663d324da06282b | [
"MIT"
] | 13 | 2019-04-09T09:32:55.000Z | 2020-07-07T20:56:46.000Z | #!/usr/bin/env python
"""
run this every time you upgrade the godot-base version to generate new matching github workflows
You must be in this directory, and in the modules subfolder of godot (just as if you would install this project into godot)
usage:
python build_github_actions.py --godot-version "3.4.4-stable" --g... | 40.242775 | 214 | 0.568946 |
a32ad9de709c3a24f830152b0d7a35e9a5113527 | 10,061 | py | Python | src/panoramic/cli/husky/service/blending/tel_planner.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 5 | 2020-11-13T17:26:59.000Z | 2021-03-19T15:11:26.000Z | src/panoramic/cli/husky/service/blending/tel_planner.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 5 | 2020-10-28T10:22:35.000Z | 2021-01-27T17:33:58.000Z | src/panoramic/cli/husky/service/blending/tel_planner.py | kubamahnert/panoramic-cli | 036f45a05d39f5762088ce23dbe367b938192f79 | [
"MIT"
] | 3 | 2021-01-26T07:58:03.000Z | 2021-03-11T13:28:34.000Z | from collections import defaultdict
from typing import Dict, Iterable, List, Optional, Set, Tuple, cast
from sqlalchemy import column
from panoramic.cli.husky.common.enum import EnumHelper
from panoramic.cli.husky.core.taxonomy.aggregations import AggregationDefinition
from panoramic.cli.husky.core.taxonomy.enums imp... | 43.743478 | 125 | 0.657191 |
a32bb9ecf389628aa17fb222486d5eb8bc144dcb | 13,836 | py | Python | mrcnn/callbacks.py | dtitenko-dev/Mask_RCNN | 5167db4174d96e9f2accc0a9f4866fb3a7bf5993 | [
"MIT"
] | null | null | null | mrcnn/callbacks.py | dtitenko-dev/Mask_RCNN | 5167db4174d96e9f2accc0a9f4866fb3a7bf5993 | [
"MIT"
] | null | null | null | mrcnn/callbacks.py | dtitenko-dev/Mask_RCNN | 5167db4174d96e9f2accc0a9f4866fb3a7bf5993 | [
"MIT"
] | null | null | null | import os
import re
import six
import h5py
import json
import logging
import tensorflow.keras as keras
from tensorflow.python.keras import optimizers
from tensorflow.python.keras.saving import hdf5_format
from tensorflow.python.keras.utils import tf_utils
from tensorflow.python.keras.saving import saving_utils
from t... | 44.632258 | 92 | 0.626337 |
a32cb578d2151333cae6b68de0344e2c78b2c29d | 875 | py | Python | wapps/gallery/migrations/0002_manual_album_image_deletion.py | apihackers/wapps | e8158747aa3d77246d41142580faf9a5f2b0d968 | [
"MIT"
] | 7 | 2018-01-17T20:26:59.000Z | 2022-03-23T08:12:00.000Z | wapps/gallery/migrations/0002_manual_album_image_deletion.py | apihackers/wapps | e8158747aa3d77246d41142580faf9a5f2b0d968 | [
"MIT"
] | 511 | 2017-10-21T17:59:50.000Z | 2022-03-28T18:49:21.000Z | wapps/gallery/migrations/0002_manual_album_image_deletion.py | apihackers/wapps | e8158747aa3d77246d41142580faf9a5f2b0d968 | [
"MIT"
] | 2 | 2018-05-02T08:27:42.000Z | 2020-08-17T18:42:49.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-26 06:57
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
from wapps.utils import get_image_model
| 28.225806 | 121 | 0.693714 |
a32cce774b4abbb45c4fa0ea764a45099fab3182 | 6,888 | py | Python | lib/examples/TOA_balance.py | CliMT/climt-legacy | adbd4fe77426c90deb8d2c046a2f3dc3b72df89e | [
"BSD-3-Clause"
] | null | null | null | lib/examples/TOA_balance.py | CliMT/climt-legacy | adbd4fe77426c90deb8d2c046a2f3dc3b72df89e | [
"BSD-3-Clause"
] | null | null | null | lib/examples/TOA_balance.py | CliMT/climt-legacy | adbd4fe77426c90deb8d2c046a2f3dc3b72df89e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import climt
from pylab import *
# Replicates the behavior of the online radiation calculator
# see maths.ucd.ie/~rca
scheme = 'ccm3'
Insolation = 337. #* .75
Imbalance = 30.
Albedo = 30. /100.
CO2 = 350.
CH4 = 1.7 + 1.e-9
N2O = 0. + 1.e-... | 30.613333 | 123 | 0.612079 |
a32d307b1fe682f59762c7e5a70a9d45122fc794 | 117 | py | Python | tools/inject_pydoc/idp.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 1,160 | 2015-05-02T15:13:20.000Z | 2022-03-31T20:04:28.000Z | tools/inject_pydoc/idp.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 19 | 2015-04-20T13:47:00.000Z | 2021-07-07T13:00:42.000Z | tools/inject_pydoc/idp.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 257 | 2015-04-01T21:42:33.000Z | 2022-03-10T11:57:51.000Z | {
"ev_get_bg_color" : {
"repl_text" : ("(self, color, ea) -> int", "(self, ea) -> int or None"),
}
}
| 19.5 | 80 | 0.452991 |
a32d410f0fad03a9c0fdccb975ef58812fe45a3f | 4,576 | py | Python | pca.py | vgp314/Udacity-Arvato-Identify-Customer-Segments | 6be1d4f1eeac391c17c70fdf584bdc4813f80fd8 | [
"ADSL"
] | 1 | 2020-05-21T23:56:57.000Z | 2020-05-21T23:56:57.000Z | pca.py | vgp314/Udacity-Arvato-Identify-Customer-Segments | 6be1d4f1eeac391c17c70fdf584bdc4813f80fd8 | [
"ADSL"
] | null | null | null | pca.py | vgp314/Udacity-Arvato-Identify-Customer-Segments | 6be1d4f1eeac391c17c70fdf584bdc4813f80fd8 | [
"ADSL"
] | null | null | null | #pca model n componentes
from sklearn.decomposition import PCA
import numpy as np
from pylab import rcParams
import matplotlib.pyplot as plt
import pandas as pd
def pca_model_n_components(df,n_components):
'''
Definition:
Initialize pca with n_components
args:
dataframe and number of components
returns:
... | 29.908497 | 101 | 0.671547 |
a32ec2ac9f37deceb74746f32c5ce3fa89c08ee8 | 4,446 | py | Python | media_analyzer/core/top_news.py | nyancol/MediaAnalyzer | fe504aa63646d27dfca6ca2c5435b0877d65ab2a | [
"MIT"
] | null | null | null | media_analyzer/core/top_news.py | nyancol/MediaAnalyzer | fe504aa63646d27dfca6ca2c5435b0877d65ab2a | [
"MIT"
] | null | null | null | media_analyzer/core/top_news.py | nyancol/MediaAnalyzer | fe504aa63646d27dfca6ca2c5435b0877d65ab2a | [
"MIT"
] | null | null | null | import datetime
import numpy as np
import json
from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopwords
import spacy
from media_analyzer import database
NUM_TOPICS = 20
if __name__ == "__main... | 33.938931 | 97 | 0.634278 |
a3306511794dd745848ecb0131b99b481e38843f | 669 | py | Python | PYTHON/IP-Address-Checker.py | ayushyado/HACKTOBERFEST2021-2 | b63d568fd7f33023ca0b0dbd91325444c70c4d10 | [
"MIT"
] | 125 | 2021-10-01T19:05:26.000Z | 2021-10-03T13:32:42.000Z | PYTHON/IP-Address-Checker.py | ayushyado/HACKTOBERFEST2021-2 | b63d568fd7f33023ca0b0dbd91325444c70c4d10 | [
"MIT"
] | 201 | 2021-10-30T20:40:01.000Z | 2022-03-22T17:26:28.000Z | PYTHON/IP-Address-Checker.py | ayushyado/HACKTOBERFEST2021-2 | b63d568fd7f33023ca0b0dbd91325444c70c4d10 | [
"MIT"
] | 294 | 2021-10-01T18:46:05.000Z | 2021-10-03T14:25:07.000Z | import urllib2
public_ip = "None"
target_url = "http://ip.42.pl/raw"
public_ip = get_public_ip(target_url)
if not "None" in public_ip:
print("Your Public IP address is: %s") % (str(public_ip))
else:
print("Your Public IP address was not found") | 31.857143 | 72 | 0.730942 |
a3325c6fb73e3191f10fa77771bfdc292d1ff768 | 2,586 | py | Python | scraper.py | squash-bit/Automate-Whatsapp-News | 9bdbbbb397dc680825b19adcda4da81d1f66270c | [
"MIT"
] | 4 | 2020-11-21T19:08:56.000Z | 2021-05-06T13:09:45.000Z | scraper.py | squash-bit/Agent-Wallie | 9bdbbbb397dc680825b19adcda4da81d1f66270c | [
"MIT"
] | 1 | 2021-05-06T19:26:06.000Z | 2021-05-06T19:26:06.000Z | scraper.py | squash-bit/Agent-Wallie | 9bdbbbb397dc680825b19adcda4da81d1f66270c | [
"MIT"
] | 1 | 2021-05-06T13:25:08.000Z | 2021-05-06T13:25:08.000Z | # import necessary modules
import os
import re
import requests
import newspaper
from bs4 import BeautifulSoup
from newspaper import Article
from newspaper import Config
from article_summarizer import summarizer
from time import sleep
# clean data
| 39.181818 | 144 | 0.593968 |
a3340d73b31131cbb0f369140b3afe55408788f6 | 1,351 | py | Python | soli/aria/forms/species.py | rcdixon/soli | d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab | [
"MIT"
] | null | null | null | soli/aria/forms/species.py | rcdixon/soli | d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab | [
"MIT"
] | null | null | null | soli/aria/forms/species.py | rcdixon/soli | d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab | [
"MIT"
] | null | null | null | from aria.models import Genus, Species, Subspecies
from django import forms
from django.forms import inlineformset_factory
from .templates.templates import createTextInput, createSelectInput
| 29.369565 | 67 | 0.634345 |
a3349b6abd791f21baf0e781406ef6802460401f | 285 | py | Python | hour.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | 3 | 2017-04-30T17:44:53.000Z | 2018-02-03T06:02:11.000Z | hour.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | 10 | 2021-03-18T20:17:19.000Z | 2022-03-11T23:14:19.000Z | hour.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | null | null | null | import math
print(angle(20))
i = 0
for m in range(0,1440*60):
a = angle(m) / 360
d = a - math.floor(a)
if (d < 0.00001):
print(a, math.floor(a), d, d == 0.0)
i += 1
print(i)
for m in range(25):
print(360*m/5.5)
| 14.25 | 44 | 0.508772 |
a33556dfd1ea6c5a377213bf148dae18a67adec5 | 4,038 | py | Python | src/third_party/wiredtiger/test/suite/test_encrypt08.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | src/third_party/wiredtiger/test/suite/test_encrypt08.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | src/third_party/wiredtiger/test/suite/test_encrypt08.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a com... | 43.419355 | 87 | 0.698613 |
a336bdbfb6767de53ac20167cacab792872e5ecf | 1,779 | py | Python | {{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py | mabdullahabid/cookiecutter-django-rest | 8cab90f115b99f7b700ec38a08cb3647eb0a847b | [
"MIT"
] | null | null | null | {{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py | mabdullahabid/cookiecutter-django-rest | 8cab90f115b99f7b700ec38a08cb3647eb0a847b | [
"MIT"
] | null | null | null | {{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py | mabdullahabid/cookiecutter-django-rest | 8cab90f115b99f7b700ec38a08cb3647eb0a847b | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path, re_path, include, reverse_lazy
from django.views.generic.base import RedirectView
from rest_framework import permissions
from rest_framework.authtoken import views
from rest_framew... | 35.58 | 88 | 0.754918 |
a33868010eb5e7ae344ef9b1e3fe0336947b0c2f | 4,260 | py | Python | pdk_api.py | audacious-software/Passive-Data-Kit-External-Sensors | c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959 | [
"Apache-2.0"
] | null | null | null | pdk_api.py | audacious-software/Passive-Data-Kit-External-Sensors | c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959 | [
"Apache-2.0"
] | null | null | null | pdk_api.py | audacious-software/Passive-Data-Kit-External-Sensors | c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=line-too-long, no-member
from __future__ import print_function
import arrow
import requests
from django.conf import settings
from django.contrib.gis.geos import GEOSGeometry
from django.utils import timezone
from django.utils.text import slugify
from passive_data_kit_external_sensors.models import... | 38.035714 | 141 | 0.603286 |
a339496b618754603c49253c77c1461b236400c0 | 37,496 | py | Python | fgcm/fgcmConfig.py | erykoff/fgcm | 51c39c5c7f904fbac755e775038730b4e6ba11bd | [
"Apache-2.0"
] | 5 | 2018-02-02T15:36:46.000Z | 2021-05-11T21:54:49.000Z | fgcm/fgcmConfig.py | erykoff/fgcm | 51c39c5c7f904fbac755e775038730b4e6ba11bd | [
"Apache-2.0"
] | 1 | 2021-08-19T19:56:33.000Z | 2021-08-19T19:56:33.000Z | fgcm/fgcmConfig.py | lsst/fgcm | 51c39c5c7f904fbac755e775038730b4e6ba11bd | [
"Apache-2.0"
] | 10 | 2019-01-09T22:50:04.000Z | 2020-02-12T16:36:27.000Z | import numpy as np
import os
import sys
import yaml
from .fgcmUtilities import FocalPlaneProjectorFromOffsets
from .fgcmLogger import FgcmLogger
def _setVarsFromDict(self, d):
for key in d:
if key not in type(self).__dict__:
raise AttributeError("Unknown config variable: %s" %... | 46.063882 | 139 | 0.618759 |
a339e1e76e5e76805cb412ba27d8dde8548e8e54 | 1,474 | py | Python | spearmint/transformations/demos/bibeta/show_warp_bibeta.py | fernandezdaniel/Spearmint | 3c9e0a4be6108c3d652606bd957f0c9ae1bfaf84 | [
"RSA-MD"
] | 6 | 2021-06-29T11:26:49.000Z | 2022-01-20T18:12:47.000Z | spearmint/transformations/demos/bibeta/show_warp_bibeta.py | fernandezdaniel/Spearmint | 3c9e0a4be6108c3d652606bd957f0c9ae1bfaf84 | [
"RSA-MD"
] | null | null | null | spearmint/transformations/demos/bibeta/show_warp_bibeta.py | fernandezdaniel/Spearmint | 3c9e0a4be6108c3d652606bd957f0c9ae1bfaf84 | [
"RSA-MD"
] | 9 | 2018-06-28T13:06:35.000Z | 2021-06-20T18:21:58.000Z | #Bibeta in action.
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import beta
from scipy.stats import randint
a_1 = np.linspace(0,10,100)
a_2 = np.linspace(0,10,100)
b_1 = np.linspace(0,10,100)
b_2 = np.linspace(0,10,100)
pi = np.linspace(0,1,10)
input_space = np.linspace(0,1,1000)
pi_rvs = randi... | 29.48 | 94 | 0.720488 |
a33b33e393caf1662689964e235489b7f1ad1bdc | 1,350 | py | Python | setup.py | agflood/scatteringmatrix | dc9a048e4b57475c67bbac7d3165cf29b5cc66e9 | [
"MIT"
] | 1 | 2021-04-18T16:09:17.000Z | 2021-04-18T16:09:17.000Z | setup.py | agflood/scatteringmatrix | dc9a048e4b57475c67bbac7d3165cf29b5cc66e9 | [
"MIT"
] | 6 | 2018-09-03T06:46:39.000Z | 2019-05-25T21:42:17.000Z | setup.py | agflood/scatteringmatrix | dc9a048e4b57475c67bbac7d3165cf29b5cc66e9 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from scatteringmatrix import __version__
with open("README.md", "r") as fh:
long_description = fh.read()
setup(name='scatteringmatrix',
version=__version__,
description='Optical scattering matrix library',
long_description=long_description,
long_... | 39.705882 | 66 | 0.60963 |
a33e27da81bb7bce9e69f05f780fb86f4b322234 | 501 | py | Python | tests/test_trinomial.py | caltechlibrary/trinomial | 0313e16400aca50f54bfe79080a10a1977702e9a | [
"BSD-3-Clause"
] | 1 | 2021-05-22T17:29:17.000Z | 2021-05-22T17:29:17.000Z | tests/test_trinomial.py | caltechlibrary/trinomial | 0313e16400aca50f54bfe79080a10a1977702e9a | [
"BSD-3-Clause"
] | null | null | null | tests/test_trinomial.py | caltechlibrary/trinomial | 0313e16400aca50f54bfe79080a10a1977702e9a | [
"BSD-3-Clause"
] | null | null | null | import os
import pytest
import sys
from time import time
try:
thisdir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(thisdir, '..'))
except:
sys.path.append('..')
import trinomial
| 22.772727 | 56 | 0.686627 |
a33e48a10e11e80e4f5b747b61f4474ae03b0923 | 667 | py | Python | openprocurement/tender/openeu/views/award_complaint_document.py | leits/openprocurement.tender.openeu | 6e8b6650a23761cc09794030583206029a2928e8 | [
"Apache-2.0"
] | 1 | 2016-02-02T09:55:08.000Z | 2016-02-02T09:55:08.000Z | openprocurement/tender/openeu/views/award_complaint_document.py | Leits/openprocurement.tender.openeu | 6e8b6650a23761cc09794030583206029a2928e8 | [
"Apache-2.0"
] | 2 | 2021-03-26T00:35:37.000Z | 2022-03-21T22:21:31.000Z | openprocurement/tender/openeu/views/award_complaint_document.py | leits/openprocurement.tender.openeu | 6e8b6650a23761cc09794030583206029a2928e8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from openprocurement.api.utils import opresource
from openprocurement.tender.openua.views.award_complaint_document import TenderUaAwardComplaintDocumentResource
| 51.307692 | 111 | 0.773613 |
a33e4ece404ced51ee4f1506f207476b0d455c63 | 2,398 | py | Python | pymic/layer/activation.py | vincentme/PyMIC | 5cbbca7d0a19232be647086d4686ceea523f45ee | [
"Apache-2.0"
] | 147 | 2019-12-23T02:52:04.000Z | 2022-03-06T16:30:43.000Z | pymic/layer/activation.py | vincentme/PyMIC | 5cbbca7d0a19232be647086d4686ceea523f45ee | [
"Apache-2.0"
] | 4 | 2020-12-18T12:47:21.000Z | 2021-05-21T02:18:01.000Z | pymic/layer/activation.py | vincentme/PyMIC | 5cbbca7d0a19232be647086d4686ceea523f45ee | [
"Apache-2.0"
] | 32 | 2020-01-08T13:48:50.000Z | 2022-03-12T06:31:13.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, division
import torch
import torch.nn as nn
| 31.552632 | 67 | 0.607173 |
a33eb973d0edc831eea7bb11066042e56e9c2e88 | 3,359 | py | Python | ui/flowlayout.py | amadotejada/self-portal | c508fb120548f3eb65e872d08a823d3942fc650d | [
"Apache-2.0"
] | 9 | 2022-03-15T02:02:30.000Z | 2022-03-18T16:16:59.000Z | ui/flowlayout.py | amadotejada/self-portal | c508fb120548f3eb65e872d08a823d3942fc650d | [
"Apache-2.0"
] | null | null | null | ui/flowlayout.py | amadotejada/self-portal | c508fb120548f3eb65e872d08a823d3942fc650d | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Amado Tejada
#
# 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 i... | 31.688679 | 112 | 0.575171 |
a340df3cf71eb1be1675fbe29cece65cbcc98d43 | 3,183 | py | Python | methods/smartdumpRJ.py | wdempsey/sense2stop-lvm | ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2 | [
"CECILL-B"
] | 1 | 2020-04-18T11:16:02.000Z | 2020-04-18T11:16:02.000Z | methods/smartdumpRJ.py | wdempsey/sense2stop-lvm | ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2 | [
"CECILL-B"
] | 6 | 2020-04-13T18:38:04.000Z | 2022-03-12T00:55:56.000Z | methods/smartdumpRJ.py | wdempsey/sense2stop-lvm | ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2 | [
"CECILL-B"
] | 1 | 2020-07-02T04:47:00.000Z | 2020-07-02T04:47:00.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue May 26 14:29:26 2020
@author: Walter Dempsey & Jamie Yap
"""
#%%
###############################################################################
# Build a RJMCMC class
###############################################################################
from pymc import Stochast... | 31.514851 | 88 | 0.602576 |
a34205264c406b528a6fcfa5ac69debf00a2b02c | 2,021 | py | Python | tests/test_slack_user.py | tomcooperca/mlb-slack-tracker | bbfd8ed6f0c345d5286813a6cd4b04e0557a762a | [
"MIT"
] | null | null | null | tests/test_slack_user.py | tomcooperca/mlb-slack-tracker | bbfd8ed6f0c345d5286813a6cd4b04e0557a762a | [
"MIT"
] | 7 | 2018-09-08T20:07:43.000Z | 2021-12-13T19:54:53.000Z | tests/test_slack_user.py | tomcooperca/mlb-slack-tracker | bbfd8ed6f0c345d5286813a6cd4b04e0557a762a | [
"MIT"
] | null | null | null | from unittest.mock import MagicMock
from slack.user import User
from baseball.team import Team
reusableUser = User(token='blah', id='UB00123', team=None)
testTeam = Team(abbreviation='CN', location='City Name',
full_name='City Name Players', record='0W-162L', division='CL Beast',
wins=0, losses=162, standing=5... | 34.844828 | 74 | 0.730332 |
a342151afcda4ba72f2d257247a2de01de22ba98 | 1,934 | py | Python | tmuxp/testsuite/test_workspacefreezer.py | wrongwaycn/tmuxp | 367cca3eb1b3162bb7e4801fe752b520f1f8eefa | [
"BSD-3-Clause"
] | 2 | 2018-02-05T01:27:07.000Z | 2018-06-10T02:02:25.000Z | tmuxp/testsuite/test_workspacefreezer.py | wrongwaycn/tmuxp | 367cca3eb1b3162bb7e4801fe752b520f1f8eefa | [
"BSD-3-Clause"
] | null | null | null | tmuxp/testsuite/test_workspacefreezer.py | wrongwaycn/tmuxp | 367cca3eb1b3162bb7e4801fe752b520f1f8eefa | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, with_statement
import os
import sys
import logging
import time
import kaptan
from .. import Window, config, exc
from ..workspacebuilder import WorkspaceBuilder, freeze
from .helpers import TmuxTestCase
logger = logging.getLogger... | 23.585366 | 80 | 0.609617 |
a343d4acc1180ec43471b02424e6695cc4893a9e | 9,132 | py | Python | libs/configs/DOTA1.0/dota_train/cfgs_res50_dotatrain_dcl_v15.py | Thinklab-SJTU/DCL_RetinaNet_Tensorflow | 1d14c9800c3eb1975e8832978f7a263783d171ec | [
"Apache-2.0"
] | 36 | 2020-11-19T07:23:42.000Z | 2022-03-30T03:35:57.000Z | libs/configs/DOTA1.0/dota_train/cfgs_res50_dotatrain_dcl_v15.py | Thinklab-SJTU/DCL_RetinaNet_Tensorflow | 1d14c9800c3eb1975e8832978f7a263783d171ec | [
"Apache-2.0"
] | 4 | 2021-01-30T09:49:10.000Z | 2021-12-05T12:49:11.000Z | libs/configs/DOTA1.0/dota_train/cfgs_res50_dotatrain_dcl_v15.py | Thinklab-SJTU/DCL_RetinaNet_Tensorflow | 1d14c9800c3eb1975e8832978f7a263783d171ec | [
"Apache-2.0"
] | 6 | 2020-11-23T07:54:47.000Z | 2021-07-09T07:20:15.000Z | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import os
import tensorflow as tf
import math
"""
GCL + OMEGA = 180 / 512.
{'0.6': {'ground-track-field': 0.573582489319409, 'harbor': 0.3891521609424017, 'bridge': 0.2563337419887201, 'small-vehicle': 0.5648505388890961, 'plane'... | 71.34375 | 583 | 0.727551 |
a34438fcd2d05af774f8b7d208037ebd093f49f3 | 1,488 | py | Python | test.py | KyleJeong/ast_calculator | cf65ad76739839ac4b3df36b82862612d6bd4492 | [
"MIT"
] | 6 | 2016-07-20T07:37:07.000Z | 2022-01-14T06:35:26.000Z | test.py | KyleJeong/ast_calculator | cf65ad76739839ac4b3df36b82862612d6bd4492 | [
"MIT"
] | 1 | 2020-03-29T05:13:58.000Z | 2020-03-29T05:13:58.000Z | test.py | KyleJeong/ast_calculator | cf65ad76739839ac4b3df36b82862612d6bd4492 | [
"MIT"
] | 1 | 2020-03-29T04:29:36.000Z | 2020-03-29T04:29:36.000Z | """
Test cases for AST calculator
"""
from unittest import TestCase
from calc import evaluate
| 23.619048 | 62 | 0.511425 |
a3446186d570e00d5586a746c5e62060ac9246b6 | 315 | py | Python | app/main/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | 2 | 2019-06-10T19:30:06.000Z | 2020-04-30T01:05:04.000Z | app/main/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | null | null | null | app/main/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | 3 | 2019-01-23T21:37:29.000Z | 2020-04-08T13:22:29.000Z | from flask import request
from app.main.extensions import cache
| 19.6875 | 83 | 0.733333 |
a344e089a4efbd0afbd6c50e23cff7269d7dd9c8 | 1,931 | py | Python | gum/managers.py | marcosgabarda/django-gum | 796a496e95391aab9e462bde6d8f775534d5f6c6 | [
"MIT"
] | 16 | 2015-05-04T18:47:33.000Z | 2021-02-03T17:10:40.000Z | gum/managers.py | marcosgabarda/django-gum | 796a496e95391aab9e462bde6d8f775534d5f6c6 | [
"MIT"
] | 4 | 2015-09-08T14:48:31.000Z | 2016-09-09T09:49:41.000Z | gum/managers.py | marcosgabarda/django-gum | 796a496e95391aab9e462bde6d8f775534d5f6c6 | [
"MIT"
] | 2 | 2015-05-04T18:39:23.000Z | 2016-04-18T14:35:47.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from gum.utils import elasticsearch_connection
| 32.183333 | 86 | 0.658726 |
a34991845be5613841f0b124224655a27cd95755 | 1,732 | py | Python | app.py | u-aaa/House-_prediction_model | 4808b4aefb802520a7ccd878c342699093e6942d | [
"MIT"
] | null | null | null | app.py | u-aaa/House-_prediction_model | 4808b4aefb802520a7ccd878c342699093e6942d | [
"MIT"
] | null | null | null | app.py | u-aaa/House-_prediction_model | 4808b4aefb802520a7ccd878c342699093e6942d | [
"MIT"
] | 1 | 2021-09-23T19:42:36.000Z | 2021-09-23T19:42:36.000Z | import pickle
import json
import numpy as np
from flask import Flask, request, jsonify
app = Flask(__name__)
with open('models/regressor.pkl', 'rb') as f:
model = pickle.load(f)
def __process_input(posted_data) -> np.array:
'''
transforms JSON type data acquired from request and transforms it into 2D ... | 28.393443 | 105 | 0.639723 |
a34ab44ceb198f7ffec0e7a91a4d37823eb68330 | 4,734 | py | Python | sobit_bringup/src/joint_state_listner.py | Choi-Laboratory/sobit_blue | 81a228390e1726653d54f33afb3fbb1c1fdb5b24 | [
"Apache-2.0"
] | null | null | null | sobit_bringup/src/joint_state_listner.py | Choi-Laboratory/sobit_blue | 81a228390e1726653d54f33afb3fbb1c1fdb5b24 | [
"Apache-2.0"
] | null | null | null | sobit_bringup/src/joint_state_listner.py | Choi-Laboratory/sobit_blue | 81a228390e1726653d54f33afb3fbb1c1fdb5b24 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import rospy
import math
from sensor_msgs.msg import *
from geometry_msgs.msg import *
from sobit_bringup.msg import *
#--------------------------------
motion = [0]*21
TIME = 0.1
serial_joint = Serial_motion()
state_jointstate = JointState()
state_jointstate.name =["L_wheel... | 37.872 | 322 | 0.603929 |
a34d2a23f38ff576e6a5ef0f805165729d2fc6ef | 2,789 | py | Python | scalex/metrics.py | jsxlei/SCALEX | 021c6d35a0cebeaa1f59ea53b9b9e22015ce6e5f | [
"MIT"
] | 11 | 2021-04-09T02:46:29.000Z | 2022-01-04T16:42:44.000Z | scale/metrics.py | QingZhan98/SCALE_v2 | 69bb02beee40ec085684335f356798d4dcb53fbc | [
"MIT"
] | 2 | 2021-04-18T02:30:18.000Z | 2022-03-05T10:40:00.000Z | scale/metrics.py | QingZhan98/SCALE_v2 | 69bb02beee40ec085684335f356798d4dcb53fbc | [
"MIT"
] | 4 | 2021-03-29T12:34:47.000Z | 2022-03-06T12:42:45.000Z | #!/usr/bin/env python
"""
# Author: Xiong Lei
# Created Time : Thu 10 Jan 2019 07:38:10 PM CST
# File Name: metrics.py
# Description:
"""
import numpy as np
import scipy
from sklearn.neighbors import NearestNeighbors, KNeighborsRegressor
def batch_entropy_mixing_score(data, batches, n_neighbors=100, n_pools=100, n... | 34.8625 | 114 | 0.639656 |
a34d8a9377344d0edaae44dd4947affb31816584 | 189 | py | Python | src/miu/colorbilding.py | memowe/miniciti-user | ce1cbccdb693c4916217e1395eacb14f06d536a1 | [
"MIT"
] | null | null | null | src/miu/colorbilding.py | memowe/miniciti-user | ce1cbccdb693c4916217e1395eacb14f06d536a1 | [
"MIT"
] | null | null | null | src/miu/colorbilding.py | memowe/miniciti-user | ce1cbccdb693c4916217e1395eacb14f06d536a1 | [
"MIT"
] | null | null | null | from miniciti.bilding import Bilding
| 18.9 | 36 | 0.650794 |
a34e461868bd92e65252352e4554823a69ea35c7 | 2,603 | py | Python | examples/data/create_data.py | fdabek1/EHR-Functions | e6bd0b6fa213930358c4a19be31c459ac7430ca9 | [
"MIT"
] | null | null | null | examples/data/create_data.py | fdabek1/EHR-Functions | e6bd0b6fa213930358c4a19be31c459ac7430ca9 | [
"MIT"
] | null | null | null | examples/data/create_data.py | fdabek1/EHR-Functions | e6bd0b6fa213930358c4a19be31c459ac7430ca9 | [
"MIT"
] | null | null | null | import pandas as pd
import random
import time
# Source: https://stackoverflow.com/a/553320/556935
def str_time_prop(start, end, date_format, prop):
"""Get a time at a proportion of a range of two formatted times.
start and end should be strings specifying times formated in the
given format (strftime-styl... | 31.743902 | 102 | 0.579332 |
a350ecde028977958b337223398f9351c3e4bbec | 1,317 | py | Python | contests/ccpc20qhd/f超时.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | contests/ccpc20qhd/f超时.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | contests/ccpc20qhd/f超时.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
'''
#ccpc20qhd-f =>
#,,
#=-
#(>0)?
#DFS,? ?
#
O(V+E)..
Runtime Error?
:
1: DFS
2: !
'''
t = int(input())
for i in range(t):
n,m = list(map(int,input().split()))
l = [list(map(int,input().split())) for _ in range(m)]
print('Case #%d: %s'%((i+1), f(n,l)))
| 23.105263 | 82 | 0.430524 |
a3525d2e36b057b387fd2a242a0be1258c2a7481 | 2,920 | py | Python | test/feature_extraction/list_counter_test.py | tmhatton/MLinPractice | 759706e13181cec864d6aa8ece9ae7042f083e4c | [
"MIT"
] | null | null | null | test/feature_extraction/list_counter_test.py | tmhatton/MLinPractice | 759706e13181cec864d6aa8ece9ae7042f083e4c | [
"MIT"
] | 1 | 2021-10-19T08:09:44.000Z | 2021-10-19T08:09:44.000Z | test/feature_extraction/list_counter_test.py | tmhatton/MLinPractice | 759706e13181cec864d6aa8ece9ae7042f083e4c | [
"MIT"
] | null | null | null | import unittest
import pandas as pd
from code.feature_extraction.list_counter import PhotosNum, URLsNum, HashtagNum, MentionNum, TokenNum
from code.util import COLUMN_PHOTOS, COLUMN_URLS, COLUMN_HASHTAGS, COLUMN_MENTIONS
if __name__ == '__main__':
unittest.main()
| 30.736842 | 161 | 0.667466 |
a352f55dcd4b6a9dcf2653a39663d590b4d79e27 | 926 | py | Python | tests/test_2_promethee.py | qanastek/EasyMCDM | 7fa2e2dfe9397834ca9f50211ea2717a16785394 | [
"MIT"
] | 4 | 2022-03-05T20:51:38.000Z | 2022-03-15T17:10:22.000Z | tests/test_2_promethee.py | qanastek/EasyMCDM | 7fa2e2dfe9397834ca9f50211ea2717a16785394 | [
"MIT"
] | null | null | null | tests/test_2_promethee.py | qanastek/EasyMCDM | 7fa2e2dfe9397834ca9f50211ea2717a16785394 | [
"MIT"
] | 1 | 2022-03-08T13:45:22.000Z | 2022-03-08T13:45:22.000Z | import unittest
from operator import index
from EasyMCDM.models.Promethee import Promethee
if __name__ == '__main__':
unittest.main() | 42.090909 | 161 | 0.565875 |
a354ea47baa38abfde41024d2fd179d6d96966cf | 1,207 | py | Python | testbed_frontend/api/emulation/emulation_handler.py | Ncu-software-research-center/IIOT-testbed | b4c8f91d1fd1e596d2262152ce99afeb22976f7a | [
"Apache-2.0"
] | 1 | 2021-05-25T09:33:28.000Z | 2021-05-25T09:33:28.000Z | testbed_frontend/api/emulation/emulation_handler.py | Ncu-software-research-center/IIOT-testbed | b4c8f91d1fd1e596d2262152ce99afeb22976f7a | [
"Apache-2.0"
] | 6 | 2020-06-06T01:59:09.000Z | 2021-06-10T20:17:56.000Z | testbed_frontend/api/emulation/emulation_handler.py | Ncu-software-research-center/IIOT-testbed | b4c8f91d1fd1e596d2262152ce99afeb22976f7a | [
"Apache-2.0"
] | null | null | null | '''
Vortex OpenSplice
This software and documentation are Copyright 2006 to TO_YEAR ADLINK
Technology Limited, its affiliated companies and licensors. All rights
reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the Lice... | 32.621622 | 92 | 0.729909 |
a3551761361e06ddd937cee500aed18df74cd70f | 2,027 | py | Python | torchtraining/functional/metrics/regression.py | szymonmaszke/torchtraining | 1ddf169325b7239d6d6686b20072a406b69a0180 | [
"MIT"
] | 3 | 2020-08-26T06:11:58.000Z | 2020-08-27T08:11:15.000Z | torchtraining/functional/metrics/regression.py | klaudiapalasz/torchtraining | 7ac54009eea2fd84aa635b6f3cbfe306f317d087 | [
"MIT"
] | 1 | 2020-08-25T19:19:43.000Z | 2020-08-25T19:19:43.000Z | torchtraining/functional/metrics/regression.py | klaudiapalasz/torchtraining | 7ac54009eea2fd84aa635b6f3cbfe306f317d087 | [
"MIT"
] | 1 | 2021-04-15T18:55:57.000Z | 2021-04-15T18:55:57.000Z | import typing
import torch
from .. import utils
| 27.026667 | 84 | 0.693143 |
a3552615d55b8131f79fc858dd41da8c30cf2d71 | 6,028 | py | Python | Source/game/systems/puzzle/hold.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | null | null | null | Source/game/systems/puzzle/hold.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | null | null | null | Source/game/systems/puzzle/hold.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | 1 | 2019-11-27T18:00:00.000Z | 2019-11-27T18:00:00.000Z | #!/usr/bin/env python2.7
# -*- coding:UTF-8 -*-2
u"""hold.py
Copyright (c) 2019 Yukio Kuro
This software is released under BSD license.
"""
import pieces as _pieces
import utils.const as _const
import utils.layouter as _layouter
| 31.233161 | 77 | 0.535169 |
a35602a1c5d4bcf343e77bdb5e4000c799357ee5 | 347 | py | Python | homeworks/kirill_shevchuk/hw05/level04.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | null | null | null | homeworks/kirill_shevchuk/hw05/level04.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | 8 | 2019-11-15T18:15:56.000Z | 2020-02-03T18:05:05.000Z | homeworks/kirill_shevchuk/hw05/level04.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | null | null | null | from urllib.parse import urlparse
| 21.6875 | 44 | 0.570605 |
a35af943a1738408edb737fd87daf987635bfda0 | 1,554 | py | Python | pertemuan_13/draw_utils.py | Muhammad-Yunus/Jetson-Nano-OpenCV-Learn | 933cb2594539a877030fb82dc3e6867409c1a557 | [
"Apache-2.0"
] | null | null | null | pertemuan_13/draw_utils.py | Muhammad-Yunus/Jetson-Nano-OpenCV-Learn | 933cb2594539a877030fb82dc3e6867409c1a557 | [
"Apache-2.0"
] | null | null | null | pertemuan_13/draw_utils.py | Muhammad-Yunus/Jetson-Nano-OpenCV-Learn | 933cb2594539a877030fb82dc3e6867409c1a557 | [
"Apache-2.0"
] | 2 | 2021-09-28T00:24:21.000Z | 2022-03-09T13:38:29.000Z | import cv2
import numpy as np
# draw_ped() function to draw bounding box with top labeled text | 39.846154 | 135 | 0.47426 |
a35b39c11aff2330ec7aa6556e235a658417a015 | 2,204 | py | Python | Sensors/PortStart.py | cybertraining-dsc/boat | 32e4942b69059d1dd48d79c8e0f55bac438eb5e7 | [
"Apache-2.0"
] | null | null | null | Sensors/PortStart.py | cybertraining-dsc/boat | 32e4942b69059d1dd48d79c8e0f55bac438eb5e7 | [
"Apache-2.0"
] | null | null | null | Sensors/PortStart.py | cybertraining-dsc/boat | 32e4942b69059d1dd48d79c8e0f55bac438eb5e7 | [
"Apache-2.0"
] | null | null | null | """
Code modified from:
apps.fishandwhistle.net/archives/1155
"""
from __future__ import print_function
import serial
import sys
import glob
port_list = {}
def identifyPort(port):
"""
tests the port and identifies what device is attached to it from probing it
:param port:
:return: a port list dict w... | 26.878049 | 79 | 0.583031 |
a35c7cddf46b7abcc142f392526fdba0c6a3aa7e | 112 | py | Python | test/python/test_utils.py | AdityaSidharta/docker_base | ccdbe7f10e4ddb329dfc106734b3e58226cd0b05 | [
"MIT"
] | null | null | null | test/python/test_utils.py | AdityaSidharta/docker_base | ccdbe7f10e4ddb329dfc106734b3e58226cd0b05 | [
"MIT"
] | null | null | null | test/python/test_utils.py | AdityaSidharta/docker_base | ccdbe7f10e4ddb329dfc106734b3e58226cd0b05 | [
"MIT"
] | null | null | null | from app.python.utils import get_datetime
| 18.666667 | 42 | 0.776786 |
a35f847cfae16fa50a6998fa4b3afcf7165085cb | 883 | py | Python | tests/core/test_registered_plugins.py | MajesticFalcon/nornir | 75f82dbb7f492d0f283abcc5eb6b5fee08db9487 | [
"Apache-2.0"
] | 955 | 2018-05-16T17:10:12.000Z | 2022-03-30T20:14:26.000Z | tests/core/test_registered_plugins.py | MajesticFalcon/nornir | 75f82dbb7f492d0f283abcc5eb6b5fee08db9487 | [
"Apache-2.0"
] | 490 | 2018-05-16T08:00:22.000Z | 2022-03-28T21:14:39.000Z | tests/core/test_registered_plugins.py | MajesticFalcon/nornir | 75f82dbb7f492d0f283abcc5eb6b5fee08db9487 | [
"Apache-2.0"
] | 243 | 2018-05-17T11:07:24.000Z | 2022-03-27T18:01:07.000Z | from nornir.core.plugins.inventory import InventoryPluginRegister
from nornir.core.plugins.runners import RunnersPluginRegister
from nornir.plugins.inventory import SimpleInventory
from nornir.plugins.runners import SerialRunner, ThreadedRunner
from nornir_utils.plugins.inventory import YAMLInventory
| 33.961538 | 65 | 0.737259 |
a3644bcfb5d4ed17d821b83cba8aacde7ddfe23f | 1,411 | py | Python | setup.py | hodgestar/tesseract-control-software | 41f47a4b901a0069f1745c90abe28f0778704b0e | [
"MIT"
] | 2 | 2019-07-13T14:15:30.000Z | 2020-01-04T10:44:47.000Z | setup.py | hodgestar/tesseract-control-software | 41f47a4b901a0069f1745c90abe28f0778704b0e | [
"MIT"
] | null | null | null | setup.py | hodgestar/tesseract-control-software | 41f47a4b901a0069f1745c90abe28f0778704b0e | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="tessled",
version="0.0.1",
url='http://github.com/hodgestar/tesseract-control-software',
license='MIT',
description="Tesseract control software and simulator.",
long_description=open('README.rst', 'r').read(),
author='Simon Cross',
... | 30.673913 | 65 | 0.593196 |
a364c15aa063e5f5b9ce9b053b0dc00b7991aba9 | 45 | py | Python | config.py | grimpy/glunit | ed8b8fabc8539abe94a9bf93418b95d006283066 | [
"MIT"
] | null | null | null | config.py | grimpy/glunit | ed8b8fabc8539abe94a9bf93418b95d006283066 | [
"MIT"
] | null | null | null | config.py | grimpy/glunit | ed8b8fabc8539abe94a9bf93418b95d006283066 | [
"MIT"
] | 1 | 2019-03-02T12:32:40.000Z | 2019-03-02T12:32:40.000Z | GITLAB_URL = "XXXXXX"
GITLAB_TOKEN = "XXXXX"
| 15 | 22 | 0.733333 |
a3670442cb8f6ed8744f92e8d59bbfa74b3455a4 | 481 | py | Python | app/collect/patch.py | luiscape/hdxscraper-unhcr-mediterranean-refugees | 372bd7f565569e1d3a8428e6f09e86a01842bb9c | [
"MIT"
] | null | null | null | app/collect/patch.py | luiscape/hdxscraper-unhcr-mediterranean-refugees | 372bd7f565569e1d3a8428e6f09e86a01842bb9c | [
"MIT"
] | 2 | 2015-10-08T15:41:56.000Z | 2015-10-08T15:50:48.000Z | app/collect/patch.py | luiscape/hdxscraper-unhcr-mediterranean-refugees | 372bd7f565569e1d3a8428e6f09e86a01842bb9c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import time
def Epoch(data):
'''Patching Epoch timestamps.'''
for record in data:
record['last_updated'] = time.strftime('%Y-%m-%d', time.localtime(record['last_updated']))
return data
def Date(data):
'''Patching date stamps.'''
for record in data:
m = t... | 20.041667 | 94 | 0.619543 |
a3686d9e544eb4ac435a125dc81bd7efb5af661e | 1,875 | py | Python | datasets/nlmap/preprocess_nlmap.py | zhuang-li/pyaudio_with_tranx | 934d0431539564bb815c4c2c6399fe9d2fe7db55 | [
"Apache-2.0"
] | null | null | null | datasets/nlmap/preprocess_nlmap.py | zhuang-li/pyaudio_with_tranx | 934d0431539564bb815c4c2c6399fe9d2fe7db55 | [
"Apache-2.0"
] | null | null | null | datasets/nlmap/preprocess_nlmap.py | zhuang-li/pyaudio_with_tranx | 934d0431539564bb815c4c2c6399fe9d2fe7db55 | [
"Apache-2.0"
] | null | null | null | from nltk.tokenize import TweetTokenizer
import io
dir_path = "../../data/nlmap/"
train_en_path = dir_path + "nlmaps.train.en"
train_mrl_path = dir_path + "nlmaps.train.mrl"
test_en_path = dir_path + "nlmaps.test.en"
test_mrl_path = dir_path + "nlmaps.test.mrl"
train_txt = dir_path + "train.txt"
test_txt = dir... | 29.296875 | 82 | 0.6208 |
a3697ddf813bc6d7c74b1660f1c7cbb233952678 | 2,228 | py | Python | ocr.py | RonLek/ALPR-and-Identification-for-Indian-Vehicles | 2c6cd5d6d883e67ed17a8dbb96830f813c6ab55e | [
"FTL",
"Xnet",
"X11"
] | 13 | 2020-09-25T16:48:06.000Z | 2022-01-31T01:36:33.000Z | ocr.py | RonLek/ALPR-and-Identification-for-Indian-Vehicles | 2c6cd5d6d883e67ed17a8dbb96830f813c6ab55e | [
"FTL",
"Xnet",
"X11"
] | 5 | 2021-01-19T09:36:59.000Z | 2022-03-25T06:56:08.000Z | ocr.py | RonLek/ALPR-and-Identification-for-Indian-Vehicles | 2c6cd5d6d883e67ed17a8dbb96830f813c6ab55e | [
"FTL",
"Xnet",
"X11"
] | 7 | 2020-09-24T01:15:52.000Z | 2022-03-23T06:50:55.000Z | states = ['AP', 'AR', 'AS', 'BR', 'CG', 'GA',
'GJ', 'HR', 'HP', 'JH', 'KA', 'KL',
'MP', 'MH', 'MN', 'ML', 'MZ', 'NL',
'OD', 'PB', 'RJ', 'SK', 'TN', 'TS',
'TR', 'UP', 'UK', 'WB', 'AN', 'CH',
'DD', 'DL', 'JK', 'LA', 'LD', 'PY']
def detect_text(path):
"""D... | 30.520548 | 75 | 0.508528 |
a36a1929d767b48efa4751ceab577496580f2e66 | 667 | py | Python | setup.py | LehmRob/photorename | b499b08f225264e5c7be3b51988d8e8fcbeb088f | [
"MIT"
] | null | null | null | setup.py | LehmRob/photorename | b499b08f225264e5c7be3b51988d8e8fcbeb088f | [
"MIT"
] | null | null | null | setup.py | LehmRob/photorename | b499b08f225264e5c7be3b51988d8e8fcbeb088f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from setuptools import setup
from distutils.util import convert_path
main_ns = {}
vpath = convert_path('photorename/version.py')
with open(vpath) as vfile:
exec(vfile.read(), main_ns)
setup(
name='photorename',
version=main_ns['__version__'],
description='bulk rename photos in ... | 23.821429 | 58 | 0.667166 |
a36a758d49817dccb80abed74b7ead8eedf80c06 | 456 | py | Python | python_loop/groom_lt1.py | hesthers/self-python-practice- | 79e7a86385e599ca430af761f533f6eaf90aa448 | [
"MIT"
] | 1 | 2021-09-07T00:26:56.000Z | 2021-09-07T00:26:56.000Z | python_loop/groom_lt1.py | hesthers/self-python-practice | 79e7a86385e599ca430af761f533f6eaf90aa448 | [
"MIT"
] | null | null | null | python_loop/groom_lt1.py | hesthers/self-python-practice | 79e7a86385e599ca430af761f533f6eaf90aa448 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# UTF-8 encoding when using korean
import numpy as np
import math
input_l = []
while True:
user_input = int(input(''))
input_l.append(user_input)
if len(input_l[1:]) == input_l[0]:
#user_input = user_input.split('\n')
cnt_input = []
for i in range(1, len(input_l)):
if np.sqrt(input... | 17.538462 | 54 | 0.640351 |
a36c8b3504ed6254b18b5d9848ed7acfd15782c9 | 454 | py | Python | setup.py | hasangchun/ContextNet | da2515bb506a304186c9f579b251be8f086c541a | [
"Apache-2.0"
] | 8 | 2021-06-20T17:59:22.000Z | 2021-09-15T05:28:45.000Z | setup.py | hasangchun/ContextNet | da2515bb506a304186c9f579b251be8f086c541a | [
"Apache-2.0"
] | 2 | 2021-12-02T20:33:08.000Z | 2021-12-28T14:23:17.000Z | setup.py | hasangchun/ContextNet | da2515bb506a304186c9f579b251be8f086c541a | [
"Apache-2.0"
] | 3 | 2022-02-02T10:36:01.000Z | 2022-03-03T09:04:37.000Z | from setuptools import setup, find_packages
setup(
name='ContextNet',
version='latest',
packages=find_packages(),
description='ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context',
author='Sangchun Ha',
author_email='seomk9896@naver.com',
... | 28.375 | 123 | 0.698238 |
a36d0ac9736ee7f0f87c898553b9622f6343c622 | 130 | py | Python | katas/kyu_7/product_of_main_diagonal.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | katas/kyu_7/product_of_main_diagonal.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | katas/kyu_7/product_of_main_diagonal.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | from operator import mul
| 21.666667 | 67 | 0.730769 |
a36e85cc522d69fee1eb9747d2afca83c85e094a | 1,643 | py | Python | src/ctc/protocols/curve_utils/cli/curve_pools_command.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 94 | 2022-02-15T19:34:49.000Z | 2022-03-26T19:26:22.000Z | src/ctc/protocols/curve_utils/cli/curve_pools_command.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-03-03T02:58:47.000Z | 2022-03-11T18:41:05.000Z | src/ctc/protocols/curve_utils/cli/curve_pools_command.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-02-15T17:53:07.000Z | 2022-03-17T19:14:17.000Z | from __future__ import annotations
import toolcli
from ctc.protocols import curve_utils
| 26.934426 | 80 | 0.593427 |
a3724c66e413effcdf21b1d39aedb643be084706 | 218 | py | Python | constants/db.py | sshikshu/app.cavill.in | 4e9472ea9640dad920f17d29b9625c8485022a5e | [
"MIT"
] | null | null | null | constants/db.py | sshikshu/app.cavill.in | 4e9472ea9640dad920f17d29b9625c8485022a5e | [
"MIT"
] | null | null | null | constants/db.py | sshikshu/app.cavill.in | 4e9472ea9640dad920f17d29b9625c8485022a5e | [
"MIT"
] | null | null | null | """
db constants
"""
DB_HOST = 'localhost'
DB_PORT = 28015
# Database is cavilling
DB_NAME = 'cavilling'
DB_TABLE_CAVILLS = 'cavills'
DB_TABLE_HAIRDOS = 'hairdos'
DB_TABLE_POLRUS = 'polrus'
DB_TABLE_USERS = 'users'
| 14.533333 | 28 | 0.733945 |
a3725144f31da3c2b8b26f9fa9ea6b635892f533 | 76,062 | py | Python | socfakerservice/api/api.py | MSAdministrator/soc-faker-service | f3c401f8d6931d1c421f594dc8f1137f2ad984aa | [
"MIT"
] | 1 | 2021-04-11T05:53:38.000Z | 2021-04-11T05:53:38.000Z | socfakerservice/api/api.py | MSAdministrator/soc-faker-service | f3c401f8d6931d1c421f594dc8f1137f2ad984aa | [
"MIT"
] | null | null | null | socfakerservice/api/api.py | MSAdministrator/soc-faker-service | f3c401f8d6931d1c421f594dc8f1137f2ad984aa | [
"MIT"
] | 1 | 2021-04-11T05:53:42.000Z | 2021-04-11T05:53:42.000Z | from flask import Blueprint, render_template, request, abort, jsonify, Response
from socfakerservice import status, HTMLRenderer, set_renderers
from socfakerservice.model import TokenModel
from socfaker import SocFaker
socfaker = SocFaker()
api_bp = Blueprint(
'api',
__name__
)
### AGENT ROUTES ###
### ALER... | 28.349609 | 162 | 0.639623 |
a37355a19aa8f440bb3300c6b512a843d8e672aa | 3,494 | py | Python | jdit/trainer/instances/fashionClassParallelTrainer.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 28 | 2019-06-18T15:56:53.000Z | 2021-11-09T13:11:13.000Z | jdit/trainer/instances/fashionClassParallelTrainer.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 2 | 2018-10-24T01:09:56.000Z | 2018-11-08T07:13:48.000Z | jdit/trainer/instances/fashionClassParallelTrainer.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 8 | 2019-01-11T01:12:15.000Z | 2021-03-12T10:15:43.000Z | # coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from jdit.trainer.single.classification import ClassificationTrainer
from jdit.model import Model
from jdit.optimizer import Optimizer
from jdit.dataset import FashionMNIST
from jdit.parallel import SupParallelTrainer
def build_task_t... | 32.351852 | 105 | 0.634516 |
a37644a1e11006bb540b7235f3216f75efbca584 | 5,711 | py | Python | movies_modeling.py | amotter443/movies | ae375d19befb8133c014199dc1bf1ae728fd0147 | [
"MIT"
] | 1 | 2022-01-13T21:46:40.000Z | 2022-01-13T21:46:40.000Z | movies_modeling.py | amotter443/movies | ae375d19befb8133c014199dc1bf1ae728fd0147 | [
"MIT"
] | null | null | null | movies_modeling.py | amotter443/movies | ae375d19befb8133c014199dc1bf1ae728fd0147 | [
"MIT"
] | null | null | null | #Initialize packages
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import sklearn.model_selection as model_selection
from sklearn import linear_model
import sklearn.metrics as metrics
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import Ra... | 38.073333 | 366 | 0.711959 |
a3767371ed8f0cd8ffdd0f52e641dd47e92c68df | 1,287 | py | Python | Python/142.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | null | null | null | Python/142.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | 1 | 2018-04-16T21:01:50.000Z | 2018-04-16T21:01:50.000Z | Python/142.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Solution to Project Euler problem 142 - Perfect Square Collection
Author: Jaime Liew
https://github.com/jaimeliew1/Project_Euler_Solutions
"""
from itertools import combinations
import numpy as np
if __name__ == "__main__":
print(run())
| 28.6 | 79 | 0.529915 |
a3775d28ecda7be7aab9864818d4a6bf38e3387c | 6,032 | py | Python | garcon/activity.py | mortaliorchard/garcon | 281221c63da0b2ea3ea51174a3d5878d1de8f487 | [
"MIT"
] | null | null | null | garcon/activity.py | mortaliorchard/garcon | 281221c63da0b2ea3ea51174a3d5878d1de8f487 | [
"MIT"
] | null | null | null | garcon/activity.py | mortaliorchard/garcon | 281221c63da0b2ea3ea51174a3d5878d1de8f487 | [
"MIT"
] | null | null | null | """
Activity
========
Activities are self generated classes to which you can pass an identifier,
and a list of tasks to perform. The activities are in between the decider and
the task.
For ease, two types of task runners are available: SyncTasks and AsyncTasks. If
you need something more specific, you should either c... | 28.587678 | 79 | 0.629145 |
a37b1669512f165099c1e03b767ae6863a2fb2c7 | 7,754 | py | Python | csvdiff.py | bugph0bia/PyCsvDiff | 57d438d50e758e13834affd8d0e46f8a7bfe0ebe | [
"MIT"
] | null | null | null | csvdiff.py | bugph0bia/PyCsvDiff | 57d438d50e758e13834affd8d0e46f8a7bfe0ebe | [
"MIT"
] | null | null | null | csvdiff.py | bugph0bia/PyCsvDiff | 57d438d50e758e13834affd8d0e46f8a7bfe0ebe | [
"MIT"
] | null | null | null | import sys
import csv
import json
import argparse
from collections import namedtuple
# diff info
DiffInfo = namedtuple('DiffInfo', [
'mark', # diff kind (!, -, +)
'address', # row/column addresses of diff
'keyname', # row/column key names of diff
'value', # values of diff
])
def ... | 33.5671 | 131 | 0.554037 |
a37e426d249e4fa306b483523b559a9a0ae9cff3 | 2,563 | py | Python | map_reduce/core/data_source.py | HuynhThanhQuan/graph-network | e429a641e7baecad9765700cac580cfbdedbe1bd | [
"MIT"
] | null | null | null | map_reduce/core/data_source.py | HuynhThanhQuan/graph-network | e429a641e7baecad9765700cac580cfbdedbe1bd | [
"MIT"
] | 11 | 2020-11-13T18:29:37.000Z | 2022-02-10T00:25:15.000Z | map_reduce/core/data_source.py | HuynhThanhQuan/graph-network | e429a641e7baecad9765700cac580cfbdedbe1bd | [
"MIT"
] | null | null | null | import os
from time import time
import pandas as pd
from sqlalchemy import create_engine
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
| 35.109589 | 106 | 0.587593 |
a37e9163f756c5b933aa7522cfc07f57edae5c1e | 3,431 | py | Python | setup.py | michael-borisov/django-omnibus | 3275ae41dcad5a140433f0bfcea5961dc837e913 | [
"BSD-3-Clause"
] | null | null | null | setup.py | michael-borisov/django-omnibus | 3275ae41dcad5a140433f0bfcea5961dc837e913 | [
"BSD-3-Clause"
] | 4 | 2020-08-19T08:39:55.000Z | 2021-03-31T08:23:26.000Z | setup.py | radiosilence/django-omnibus | c31337306c601e75fbdac9d6b9b62dcc980e04f5 | [
"BSD-3-Clause"
] | null | null | null | import codecs
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
test_requires = [
'pytest>=2.5.2',
'pytest-cov>=1.6',
'pytest-flakes>=0.2',
'pytest-pep8>=1.0.5',
'pytest-django>=2.6',
'mock==1.0.1',
'pep8==1.4.6'
]
i... | 27.669355 | 86 | 0.575051 |
a37f3e393c9a970f74e1fb50bf59be6bc0954abc | 504 | py | Python | scripts/tests/snapshots/snap_etc_test.py | Duroktar/Wolf | c192d5c27eb2098e440f7726eb1bff40ed004db5 | [
"Apache-2.0"
] | 105 | 2018-02-07T22:07:47.000Z | 2022-03-31T18:16:47.000Z | scripts/tests/snapshots/snap_etc_test.py | Duroktar/Wolf | c192d5c27eb2098e440f7726eb1bff40ed004db5 | [
"Apache-2.0"
] | 57 | 2018-02-07T23:07:41.000Z | 2021-11-21T17:14:06.000Z | scripts/tests/snapshots/snap_etc_test.py | Duroktar/Wolf | c192d5c27eb2098e440f7726eb1bff40ed004db5 | [
"Apache-2.0"
] | 10 | 2018-02-24T23:44:51.000Z | 2022-03-02T07:52:27.000Z | # -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['test_etc 1'] = '[{"lineno": 2, "value": "tup = (1, 2, 3)"}, {"lineno": 3, "source": ["tup\\n"], "value": "(1, 2, 3)"}, {"lineno": 5, "value":... | 45.818182 | 335 | 0.56746 |
a37f43b419e3def4e72bb772a8952c0f709cee66 | 1,823 | py | Python | config.py | greatwallet/cosypose | e72ce7d521ef61870daef267cbbe65aaebe9d24d | [
"MIT"
] | null | null | null | config.py | greatwallet/cosypose | e72ce7d521ef61870daef267cbbe65aaebe9d24d | [
"MIT"
] | null | null | null | config.py | greatwallet/cosypose | e72ce7d521ef61870daef267cbbe65aaebe9d24d | [
"MIT"
] | null | null | null | import cosypose
import os
import yaml
from joblib import Memory
from pathlib import Path
import getpass
import socket
import torch.multiprocessing
torch.multiprocessing.set_sharing_strategy('file_system')
hostname = socket.gethostname()
username = getpass.getuser()
PROJECT_ROOT = Path(cosypose.__file__).... | 30.383333 | 88 | 0.765222 |
a37f76a50ac5297fbe0ae2e72f8f20c6b13bb7e0 | 2,761 | py | Python | 2018/16/main.py | zelane/advent-of-code-2016 | 72ebda3ec4eca4d1921dd8d94f2f84bbd0566fc5 | [
"MIT"
] | null | null | null | 2018/16/main.py | zelane/advent-of-code-2016 | 72ebda3ec4eca4d1921dd8d94f2f84bbd0566fc5 | [
"MIT"
] | null | null | null | 2018/16/main.py | zelane/advent-of-code-2016 | 72ebda3ec4eca4d1921dd8d94f2f84bbd0566fc5 | [
"MIT"
] | null | null | null | from copy import copy
import re
opts = [
"addr", "addi", "mulr", "muli", "banr", "bani", "borr", "bori", "setr",
"seti", "gtir", "gtri", "gtrr", "eqir", "eqri", "eqrr"
]
inputs = []
program = []
parse_mem = lambda s: list(map(int, re.findall(r"[0-9]", s)))
parse_params = lambda s: list(map(int, s.split(" ")... | 23.801724 | 75 | 0.522637 |
a382674b28c095d002534f7e5a89fab99c7987b3 | 2,700 | py | Python | streamlit/About.py | sarthak815/sage2therescue | b4bc38731a2b43866c545560e850cdddd85a0852 | [
"MIT"
] | null | null | null | streamlit/About.py | sarthak815/sage2therescue | b4bc38731a2b43866c545560e850cdddd85a0852 | [
"MIT"
] | null | null | null | streamlit/About.py | sarthak815/sage2therescue | b4bc38731a2b43866c545560e850cdddd85a0852 | [
"MIT"
] | 1 | 2022-03-04T09:31:18.000Z | 2022-03-04T09:31:18.000Z | import streamlit as st | 117.391304 | 1,320 | 0.802963 |
a3842c6138c7e752e05c72628b0129a00a3d511f | 1,617 | py | Python | tests/test_reduce_sum.py | gavinuhma/tf-encrypted | 4e18d78a151bbe91489a1773fb839b889ff5b460 | [
"Apache-2.0"
] | 3 | 2018-10-18T19:36:02.000Z | 2020-07-05T19:46:23.000Z | tests/test_reduce_sum.py | dropoutlabs/tf-encrypted | 48c9dc7419163425e736ad05bb19980d134fc851 | [
"Apache-2.0"
] | null | null | null | tests/test_reduce_sum.py | dropoutlabs/tf-encrypted | 48c9dc7419163425e736ad05bb19980d134fc851 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=missing-docstring
import unittest
import numpy as np
import tensorflow as tf
import tf_encrypted as tfe
if __name__ == '__main__':
unittest.main()
| 24.134328 | 54 | 0.650588 |
a38463fb4d443f7e3aa2457876c06216a04ae227 | 1,010 | py | Python | tests/test_nodes.py | simonzabrocki/GraphModels | b43e44a189d663364ae08de9a1d1305320854d63 | [
"MIT"
] | null | null | null | tests/test_nodes.py | simonzabrocki/GraphModels | b43e44a189d663364ae08de9a1d1305320854d63 | [
"MIT"
] | null | null | null | tests/test_nodes.py | simonzabrocki/GraphModels | b43e44a189d663364ae08de9a1d1305320854d63 | [
"MIT"
] | null | null | null |
import pytest
from GraphModels.models.Sarah.model_agricultural_water import AgriculturalWaterNodes
from GraphModels.models.Sarah.model_freshwater_available import FreshwaterAvailableNodes
from GraphModels.models.Sarah.model_municipal_water import MunicipalWaterNodes
nodes_list = AgriculturalWaterNodes + FreshwaterAv... | 37.407407 | 116 | 0.773267 |
a3859a2bc6f5180117d2aa59a1b851252ca8c8a5 | 1,350 | py | Python | backend/telegram/methods/messages_and_media/get_updated_message_entity_types.py | appheap/social-media-analyzer | 0f9da098bfb0b4f9eb38e0244aa3a168cf97d51c | [
"Apache-2.0"
] | 5 | 2021-09-11T22:01:15.000Z | 2022-03-16T21:33:42.000Z | backend/telegram/methods/messages_and_media/get_updated_message_entity_types.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | null | null | null | backend/telegram/methods/messages_and_media/get_updated_message_entity_types.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | 3 | 2022-01-18T11:06:22.000Z | 2022-02-26T13:39:28.000Z | from django.db import transaction
from db.scaffold import Scaffold
from typing import List
from telegram import models as tg_models
from pyrogram import types
| 32.926829 | 92 | 0.565926 |
a387303aea958c01ac561cbc1d4a035d79ef4112 | 486 | py | Python | app/user_api/user_api.py | Basselbi/hikma-health-backend | 0f891821a04aa103fff62097443bd585bc342dbc | [
"MIT"
] | null | null | null | app/user_api/user_api.py | Basselbi/hikma-health-backend | 0f891821a04aa103fff62097443bd585bc342dbc | [
"MIT"
] | null | null | null | app/user_api/user_api.py | Basselbi/hikma-health-backend | 0f891821a04aa103fff62097443bd585bc342dbc | [
"MIT"
] | null | null | null | from flask import Blueprint, request, jsonify
from web_util import assert_data_has_keys
from users.user import User
user_api = Blueprint('users_api', __name__, url_prefix='/api/user')
| 34.714286 | 81 | 0.73251 |