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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6d3cd024737891057712136d2e705890110f9afe | 4,896 | py | Python | tools/generate_pseudo_label.py | Jmq14/FCOS | 5b9b7c2757584b323545988838d020f5b2b9f002 | [
"BSD-2-Clause"
] | null | null | null | tools/generate_pseudo_label.py | Jmq14/FCOS | 5b9b7c2757584b323545988838d020f5b2b9f002 | [
"BSD-2-Clause"
] | null | null | null | tools/generate_pseudo_label.py | Jmq14/FCOS | 5b9b7c2757584b323545988838d020f5b2b9f002 | [
"BSD-2-Clause"
] | 1 | 2020-04-14T07:19:16.000Z | 2020-04-14T07:19:16.000Z | import os
import numpy as np
from pycocotools.coco import COCO
import cv2
from tqdm import tqdm
import argparse
import json
import torch
from fcos_core.structures.bounding_box import BoxList
from fcos_core.structures.boxlist_ops import boxlist_iou
def generate_pseudo_label_with_confidence_score(boxes, image_id, sco... | 35.478261 | 201 | 0.646446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,111 | 0.22692 |
6d3d502a9e4fab4b8d06fc5ff16a2568aab18edb | 1,400 | py | Python | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | tests/unit/test_public_html.py | milescsmith/cookiecutter-wordpress | 3bc3178af15e481d3a18df4ff4fcc93f618a6fdc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
class SetupPublicHtml:
@pytest.fixture()
def context(self):
return None
@pytest.fixture()
def template(self, cookies, context):
if context is None:
return cookies.bake()
else:
return cookies.bake(extra_context=cont... | 23.728814 | 66 | 0.627143 | 1,346 | 0.961429 | 0 | 0 | 816 | 0.582857 | 0 | 0 | 155 | 0.110714 |
6d3d92d541909aa34760d1f3e45a73e1d7ed39b8 | 6,562 | py | Python | Learn_matplotlib.py | maufia/MyPyCourse | 5818182992f93745bee4904768442e99837e6d61 | [
"MIT"
] | null | null | null | Learn_matplotlib.py | maufia/MyPyCourse | 5818182992f93745bee4904768442e99837e6d61 | [
"MIT"
] | null | null | null | Learn_matplotlib.py | maufia/MyPyCourse | 5818182992f93745bee4904768442e99837e6d61 | [
"MIT"
] | null | null | null | """Learn matplotlib"""
import os
import easygui as eg
import csv
import matplotlib.pyplot as plt
TITLE = """Learn - Matplotlib """
def select_file() -> str:
"""Use EasyGUI to select a function"""
current_directory = os.path.join(os.getcwd(), 'Data')
selected_file = eg.fileopenbox(title=f'{TITLE}: Open... | 31.247619 | 86 | 0.585949 | 0 | 0 | 0 | 0 | 613 | 0.093417 | 0 | 0 | 2,387 | 0.363761 |
6d3dde38158663d28e76c909e8c536123b26caa7 | 4,262 | py | Python | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | null | null | null | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2016-01-15T11:28:06.000Z | 2016-01-25T17:09:18.000Z | isaactest/tests/accordion_behaviour.py | jsharkey13/isaac-selenium-testing | fc57ec57179cf7d9f0bb5ef46d759792b2af3bc8 | [
"MIT"
] | 1 | 2019-05-14T16:53:49.000Z | 2019-05-14T16:53:49.000Z | import time
from ..utils.log import log, INFO, ERROR, PASS
from ..utils.i_selenium import assert_tab, image_div
from ..utils.i_selenium import wait_for_xpath_element, wait_for_invisible_xpath
from ..utils.isaac import open_accordion_section, close_accordion_section, wait_accordion_open, wait_accordion_closed
from ..tes... | 45.827957 | 169 | 0.690286 | 0 | 0 | 0 | 0 | 3,741 | 0.877757 | 0 | 0 | 1,688 | 0.396058 |
6d3eb041ca451c14bb7749af771a32d51f111d6d | 587 | py | Python | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 22 | 2019-02-05T15:20:07.000Z | 2022-02-25T09:00:40.000Z | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 48 | 2019-02-15T20:41:24.000Z | 2022-03-16T20:52:02.000Z | yggdrasil/communication/AsciiMapComm.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | 16 | 2019-04-27T03:36:40.000Z | 2021-12-02T09:47:06.000Z | from yggdrasil.communication import FileComm
class AsciiMapComm(FileComm.FileComm):
r"""Class for handling I/O from/to a ASCII map on disk.
Args:
name (str): The environment variable where file path is stored.
**kwargs: Additional keywords arguments are passed to parent class.
"""
_... | 32.611111 | 75 | 0.625213 | 539 | 0.918228 | 0 | 0 | 0 | 0 | 0 | 0 | 342 | 0.582624 |
6d3f8a189f427be39fe163edc538d242e89521a0 | 2,970 | py | Python | docker/dstat/plugins/dstat_nfsstat4.py | hzy9819/GreenPlum_WooKongDB | 9dca9b3bcd15f29b2a0136acc818064222220059 | [
"PostgreSQL",
"Apache-2.0"
] | 34 | 2021-01-18T14:25:24.000Z | 2021-06-05T03:21:10.000Z | docker/dstat/plugins/dstat_nfsstat4.py | hzy9819/GreenPlum_WooKongDB | 9dca9b3bcd15f29b2a0136acc818064222220059 | [
"PostgreSQL",
"Apache-2.0"
] | null | null | null | docker/dstat/plugins/dstat_nfsstat4.py | hzy9819/GreenPlum_WooKongDB | 9dca9b3bcd15f29b2a0136acc818064222220059 | [
"PostgreSQL",
"Apache-2.0"
] | 2 | 2021-04-20T20:11:08.000Z | 2021-06-02T02:56:16.000Z | ### Author: Adam Michel <elfurbe@furbism.com>
### Based on work by: Dag Wieers <dag@wieers.com>
class dstat_plugin(dstat):
def __init__(self):
self.name = 'nfs4 client'
# this vars/nick pair is the ones I considered relevant. Any set of the full list would work.
self.vars = ('read', 'write'... | 56.037736 | 162 | 0.545455 | 2,852 | 0.960269 | 0 | 0 | 0 | 0 | 0 | 0 | 1,847 | 0.621886 |
6d4017e7261ae361b154fa97a6f870b3295280f2 | 1,873 | py | Python | astropyp/instruments/decam/pipeline.py | fred3m/astropyp | 414c9e6d84da2604c6466b2046827d8b1988edab | [
"BSD-3-Clause"
] | 8 | 2016-04-28T22:19:22.000Z | 2022-03-14T04:22:00.000Z | astropyp/instruments/decam/pipeline.py | fred3m/astropyp | 414c9e6d84da2604c6466b2046827d8b1988edab | [
"BSD-3-Clause"
] | null | null | null | astropyp/instruments/decam/pipeline.py | fred3m/astropyp | 414c9e6d84da2604c6466b2046827d8b1988edab | [
"BSD-3-Clause"
] | null | null | null | import datapyp
import warnings
import os
class DecamPipeError(Exception):
pass
class Pipeline(datapyp.core.Pipeline):
def __init__(self, **kwargs):
from datapyp.utils import get_bool
# Make sure that the user included a dictionary of paths to initialize the pipeline
if 'paths' not in k... | 49.289474 | 102 | 0.555259 | 1,829 | 0.976508 | 0 | 0 | 0 | 0 | 0 | 0 | 661 | 0.35291 |
6d409d33559b4a6519981780018a2f54e1281d04 | 3,487 | py | Python | powerlaw.py | AlexanderDavid/Powerlaw-Highway-Env | e3e3b6277e0a75e4dcbc7988a9cb144137328d22 | [
"MIT"
] | null | null | null | powerlaw.py | AlexanderDavid/Powerlaw-Highway-Env | e3e3b6277e0a75e4dcbc7988a9cb144137328d22 | [
"MIT"
] | null | null | null | powerlaw.py | AlexanderDavid/Powerlaw-Highway-Env | e3e3b6277e0a75e4dcbc7988a9cb144137328d22 | [
"MIT"
] | null | null | null | import gym
import highway_env
from agent import Agent
import pandas as pd
import numpy as np
env = gym.make("highway-v0")
done = False
# Notes
# Action space between 0 and 4 inclusive
# 0 is merge left
# 1 is do nothing
# 2 is merge right
# 3 is speed up
# 4 is slow down
#
## Obs space is a 5x5 matrix with values be... | 28.120968 | 167 | 0.53341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,244 | 0.356754 |
6d41975bab1b82a3f84cbeb994a57f4874792563 | 849 | py | Python | terraform/module/lambda/src/timestream_data_writer.py | Jimon-s/terraform-example-timestream | f24b3d5feb1d497374c52bff64308a296a01d158 | [
"MIT"
] | 1 | 2021-09-12T08:54:48.000Z | 2021-09-12T08:54:48.000Z | terraform/module/lambda/src/timestream_data_writer.py | Jimon-s/terraform-example-timestream | f24b3d5feb1d497374c52bff64308a296a01d158 | [
"MIT"
] | null | null | null | terraform/module/lambda/src/timestream_data_writer.py | Jimon-s/terraform-example-timestream | f24b3d5feb1d497374c52bff64308a296a01d158 | [
"MIT"
] | null | null | null | from typing import List
class TimeStreamDataWriter:
def __init__(self, client) -> None:
self.client = client
def write_records(self, database_name: str, table_name: str, records: List[dict], common_attributes: List[dict] = None,):
if self.client is None:
raise Exception('client i... | 30.321429 | 125 | 0.580683 | 822 | 0.968198 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.022379 |
6d43fd7c79d6110719d20a77a2cbf996accb638e | 4,015 | py | Python | zodiacy/cli.py | greenify/zodiacy | faf46a10b9b70869cb4caca02027921f1418cfcf | [
"MIT"
] | 1 | 2015-10-16T10:24:53.000Z | 2015-10-16T10:24:53.000Z | zodiacy/cli.py | greenify/zodiacy | faf46a10b9b70869cb4caca02027921f1418cfcf | [
"MIT"
] | null | null | null | zodiacy/cli.py | greenify/zodiacy | faf46a10b9b70869cb4caca02027921f1418cfcf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
import argparse
import sqlite3
from os import path
from .wrapper import wrap_calls, wrap_corpus
import signal
signal.signal(signal.SIGPIPE, signal.SIG_DFL)
"""generate_horoscope.py: Generates horoscopes based provided corpuses"""
__author__ = "Project Zodiacy"
__copyright__ =... | 46.149425 | 104 | 0.644583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,687 | 0.420174 |
6d444a4f6aefa8f1cb4400d8d79d72be67e0ac06 | 765 | py | Python | prosrs/utility/constants.py | compdyn/ProSRS | d9f8f1992af9ebd8570795ed231ee59cb6901e8b | [
"NCSA"
] | 2 | 2019-03-03T22:32:18.000Z | 2019-03-04T14:51:01.000Z | prosrs/utility/constants.py | compdyn/ProSRS | d9f8f1992af9ebd8570795ed231ee59cb6901e8b | [
"NCSA"
] | null | null | null | prosrs/utility/constants.py | compdyn/ProSRS | d9f8f1992af9ebd8570795ed231ee59cb6901e8b | [
"NCSA"
] | null | null | null | """
Copyright (C) 2016-2019 Chenchao Shou
Licensed under Illinois Open Source License (see the file LICENSE). For more information
about the license, see http://otm.illinois.edu/disclose-protect/illinois-open-source-license.
Define constants.
"""
# file templates
STATE_NPZ_FILE_TEMP = 'optimizer_state_%s.npz' # file ... | 58.846154 | 134 | 0.798693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 658 | 0.860131 |
6d4642e8f398da24a0527a67fb597113262e14dc | 732 | py | Python | ioloop-futures/future_done_callback.py | psuresh39/async-design-patterns | f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9 | [
"Apache-2.0"
] | 3 | 2021-02-25T22:20:07.000Z | 2021-07-02T09:43:07.000Z | ioloop-futures/future_done_callback.py | psuresh39/async-design-patterns | f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9 | [
"Apache-2.0"
] | null | null | null | ioloop-futures/future_done_callback.py | psuresh39/async-design-patterns | f514edaf2b11ecf34b5b8dc2f237b869aa4ff1b9 | [
"Apache-2.0"
] | 2 | 2021-01-27T08:44:31.000Z | 2021-05-31T16:36:34.000Z | __author__ = 'psuresh'
import asyncio
@asyncio.coroutine
def slow_operation(future):
print("inside task")
yield from asyncio.sleep(1)
print("task done")
future.set_result('Future is done!')
def got_result(future):
print("inside callback")
print(future.result())
loop.stop()
loop = async... | 18.3 | 45 | 0.695355 | 0 | 0 | 148 | 0.202186 | 167 | 0.228142 | 0 | 0 | 269 | 0.367486 |
6d4a0bcb9c1a2d9b83eb8672bd2a88bd3b493c65 | 6,555 | py | Python | resources.py | cozhiv/tokenauthentication | c6fec21134d55177b99b23dfe21a89d23eda8394 | [
"MIT"
] | null | null | null | resources.py | cozhiv/tokenauthentication | c6fec21134d55177b99b23dfe21a89d23eda8394 | [
"MIT"
] | null | null | null | resources.py | cozhiv/tokenauthentication | c6fec21134d55177b99b23dfe21a89d23eda8394 | [
"MIT"
] | null | null | null | from flask_restful import Resource, reqparse
from models import UserModel, RevokedTokenModel, PortfolioModel
from flask_jwt_extended import (create_access_token, create_refresh_token, jwt_required, jwt_refresh_token_required, get_jwt_identity, get_raw_jwt, get_jwt_claims)
import json
from flask import request
parser = ... | 35.625 | 163 | 0.633562 | 6,167 | 0.940809 | 0 | 0 | 3,596 | 0.548589 | 0 | 0 | 1,296 | 0.197712 |
6d4a1b0bb0e6cd8b58de78b8042c2fe98a20bb35 | 1,164 | py | Python | src/data/get_raw_data.py | oscarv17/titanic-disaster-project | b3663c6e02ca2796dd982e0b6fe624968a935963 | [
"MIT"
] | null | null | null | src/data/get_raw_data.py | oscarv17/titanic-disaster-project | b3663c6e02ca2796dd982e0b6fe624968a935963 | [
"MIT"
] | null | null | null | src/data/get_raw_data.py | oscarv17/titanic-disaster-project | b3663c6e02ca2796dd982e0b6fe624968a935963 | [
"MIT"
] | null | null | null | import os
import kaggle
from dotenv import find_dotenv, load_dotenv
import logging
# setting credentials
os.system('set KAGGLE_USERNAME =' + os.environ.get('kaggle_username'))
os.system('set KAGGLE_KEY =' + os.environ.get('kaggle_key'))
# function to extract the data
def extractData(path):
os.syste... | 29.846154 | 87 | 0.671821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.371993 |
6d4b25fdee1ba1da4de6a0ee18903a26769fc38d | 4,031 | py | Python | 4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py | moni2096/Data-Engineering-Nanodegree---Udacity | 6202a535ebc5ff95921ce56d37f8116e3e961a3b | [
"MIT"
] | 4 | 2021-07-02T06:17:53.000Z | 2022-01-31T19:54:20.000Z | 4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py | moni2096/Data-Engineering-Nanodegree-Udacity | 6202a535ebc5ff95921ce56d37f8116e3e961a3b | [
"MIT"
] | null | null | null | 4. Data Pipelines with Airflow/dags/sparkify_dend_dag.py | moni2096/Data-Engineering-Nanodegree-Udacity | 6202a535ebc5ff95921ce56d37f8116e3e961a3b | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
import os
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators import (StageToRedshiftOperator, LoadFactOperator,
LoadDimensionOperator, DataQualityOperator)
from helpers import SqlQueries
def... | 30.537879 | 110 | 0.73034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,188 | 0.294716 |
6d4b7c11dabe41f806cbc11a1847f9f742c15d13 | 1,436 | py | Python | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/tests/test_build_api.py | orpheus92/jupyter-beta | 3ca2665cf28cefb66bd096bb0ce32ec32ba6dfe5 | [
"BSD-3-Clause"
] | null | null | null | """Test the kernels service API."""
import threading
import time
from jupyterlab.tests.utils import LabTestBase, APITester
from notebook.tests.launchnotebook import assert_http_error
class BuildAPITester(APITester):
"""Wrapper for build REST API requests"""
url = 'lab/api/build'
def getStatus(self):
... | 25.192982 | 65 | 0.614206 | 1,246 | 0.867688 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.169916 |
6d4c98d5013f159132ac60e600d786ee3cdc259c | 25 | py | Python | dataloader/__init__.py | nikhil1024/PSMNet | ca5bf6753e84bf448895db42d498a137ed722594 | [
"MIT"
] | null | null | null | dataloader/__init__.py | nikhil1024/PSMNet | ca5bf6753e84bf448895db42d498a137ed722594 | [
"MIT"
] | null | null | null | dataloader/__init__.py | nikhil1024/PSMNet | ca5bf6753e84bf448895db42d498a137ed722594 | [
"MIT"
] | null | null | null | from dataloader import *
| 12.5 | 24 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6d4cf8e51d0fbaf6857ed11d10bfb09f5a4b1db4 | 3,151 | py | Python | Mnist_conv.py | yashchandak/TensorFlow-fun | d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d | [
"MIT"
] | null | null | null | Mnist_conv.py | yashchandak/TensorFlow-fun | d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d | [
"MIT"
] | null | null | null | Mnist_conv.py | yashchandak/TensorFlow-fun | d2ec9c6eb52c5d92f417c62f99bc3e9385d43f0d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 6 15:11:12 2016
@author: yash
"""
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot = True)
sess = tf.InteractiveSession()
"""
Convolutional Neural Net
"""
def weight_variable(... | 31.828283 | 89 | 0.698508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 641 | 0.203427 |
6d4d970056f0da094729a71930abf5b79b29e3c3 | 158 | py | Python | 51-simple-program-4.py | GunarakulanGunaretnam/python-basic-fundamentals | c62bf939fbaef8895d28f85af9ef6ced70801f96 | [
"Apache-2.0"
] | null | null | null | 51-simple-program-4.py | GunarakulanGunaretnam/python-basic-fundamentals | c62bf939fbaef8895d28f85af9ef6ced70801f96 | [
"Apache-2.0"
] | null | null | null | 51-simple-program-4.py | GunarakulanGunaretnam/python-basic-fundamentals | c62bf939fbaef8895d28f85af9ef6ced70801f96 | [
"Apache-2.0"
] | null | null | null | while True:
user_input = input("Enter something: ")
f = open("data.txt", "at")
f.write(user_input+"\n")
if(user_input == "[STOP]"):
f.close()
break | 15.8 | 40 | 0.607595 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.28481 |
6d4de2f63adc59698f65d7e1665d7fdff8be3785 | 5,036 | py | Python | models.py | AnselCmy/MetaR | 47897ef0268b2c6c00e211be26a983d201e54565 | [
"Apache-2.0"
] | 84 | 2019-09-17T03:21:30.000Z | 2022-03-18T12:28:59.000Z | models.py | zjukg/MetaR | 47897ef0268b2c6c00e211be26a983d201e54565 | [
"Apache-2.0"
] | 4 | 2019-09-16T06:30:04.000Z | 2022-01-02T12:26:03.000Z | models.py | zjukg/MetaR | 47897ef0268b2c6c00e211be26a983d201e54565 | [
"Apache-2.0"
] | 10 | 2019-09-24T01:23:18.000Z | 2021-08-09T03:00:00.000Z | from embedding import *
from collections import OrderedDict
import torch
class RelationMetaLearner(nn.Module):
def __init__(self, few, embed_size=100, num_hidden1=500, num_hidden2=200, out_size=100, dropout_p=0.5):
super(RelationMetaLearner, self).__init__()
self.embed_size = embed_size
se... | 39.653543 | 112 | 0.578832 | 4,953 | 0.983519 | 0 | 0 | 0 | 0 | 0 | 0 | 471 | 0.093527 |
6d4ff338a5048d79569541e65f7625f4beff0e41 | 395 | py | Python | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 36 | 2019-12-27T08:23:08.000Z | 2022-01-24T20:35:47.000Z | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 10 | 2019-11-13T02:55:18.000Z | 2021-10-13T23:28:09.000Z | Olympiad Solutions/URI/1181.py | Ashwanigupta9125/code-DS-ALGO | 49f6cf7d0c682da669db23619aef3f80697b352b | [
"MIT"
] | 53 | 2020-08-15T11:08:40.000Z | 2021-10-09T15:51:38.000Z | # Ivan Carvalho
# Solution to https://www.urionlinejudge.com.br/judge/problems/view/1181
#!/usr/bin/env python2.7
linha = int(raw_input())
array = [[0 for j in xrange(12)] for k in xrange(12)]
operacao = raw_input()
for p in xrange(12):
for k in xrange(12):
array[p][k]=float(raw_input())
if operacao == "S":
print "... | 28.214286 | 72 | 0.663291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.318987 |
6d50afec427856861c969ad355d8c5fa162ca5ff | 276 | py | Python | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 51 | 2015-01-31T01:51:39.000Z | 2022-02-18T02:01:50.000Z | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 7 | 2017-05-29T09:29:00.000Z | 2019-03-11T16:01:39.000Z | packages/PIPS/validation/Benchmarks/Hyantes.sub/remove_reduction.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 12 | 2015-03-26T08:05:38.000Z | 2022-02-18T02:01:51.000Z | from __future__ import with_statement
from pyps import workspace
with workspace("hyantes.c", "options.c") as w:
w.props.constant_path_effects=False
f=w["hyantes!do_run_AMORTIZED_DISK"]
for l in f.all_loops:
l.reduction_variable_expansion()
f.display()
| 30.666667 | 46 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.192029 |
6d5363097e402538bc42aa0b70cfd1c02f3ca6fb | 2,526 | py | Python | tests/apps/courses/test_models_subject.py | sampaccoud/richie | 3d222aedab0636a84011dced568c5dcd48fc5b15 | [
"MIT"
] | null | null | null | tests/apps/courses/test_models_subject.py | sampaccoud/richie | 3d222aedab0636a84011dced568c5dcd48fc5b15 | [
"MIT"
] | null | null | null | tests/apps/courses/test_models_subject.py | sampaccoud/richie | 3d222aedab0636a84011dced568c5dcd48fc5b15 | [
"MIT"
] | null | null | null | """
Unit tests for the Subject model
"""
from django.test import TestCase
from cms.api import create_page
from richie.apps.courses.factories import CourseFactory, SubjectFactory
from richie.apps.courses.models import Subject
class SubjectTestCase(TestCase):
"""
Unit test suite to validate the behavior of th... | 38.272727 | 95 | 0.684481 | 2,296 | 0.908947 | 0 | 0 | 0 | 0 | 0 | 0 | 1,016 | 0.402217 |
6d53e547415669e075a1146807e89c0b079587f0 | 2,935 | py | Python | Scripts/main.py | MainDuelo/Python-Tkinter-and-SQLite | 7f69780ce9c1c8ebe807197448030aed94c3a082 | [
"MIT"
] | null | null | null | Scripts/main.py | MainDuelo/Python-Tkinter-and-SQLite | 7f69780ce9c1c8ebe807197448030aed94c3a082 | [
"MIT"
] | null | null | null | Scripts/main.py | MainDuelo/Python-Tkinter-and-SQLite | 7f69780ce9c1c8ebe807197448030aed94c3a082 | [
"MIT"
] | null | null | null | from Scripts.bank.bankController import BankController
from tkinter import ttk, Tk, Button, Label, END
from tkinter.scrolledtext import ScrolledText
from Scripts.support.textManipulation import TextManipulation
MAROON = "#800000"
WHITE = "#FFFFFF"
VALUES = "values"
class Main:
def __init__(self):
BankCon... | 40.763889 | 183 | 0.696763 | 2,653 | 0.903918 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.072232 |
6d55e3cd7ef5d22859ae8f2c2273a0f46b67eba4 | 1,651 | py | Python | python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py | vhnatyk/vlsistuff | 0981097bd19a0c482728dcc5048a3615ac9a9a90 | [
"MIT"
] | 26 | 2018-03-17T18:14:22.000Z | 2022-03-14T07:23:13.000Z | python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 1 | 2019-10-16T10:31:11.000Z | 2019-10-17T04:14:53.000Z | python-verilog/examples_py3/faulted_sqrt/learn_sql/create_table.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 7 | 2018-07-16T07:51:25.000Z | 2022-02-15T14:22:54.000Z | #! /usr/bin/env python3
import os,sys,string
import sqlite3
from sqlite3 import Error
def create_connection(path):
connection = None
try:
connection = sqlite3.connect(path)
print("Connection to SQLite DB successful")
except Error as e:
print(f"The error '{e}' occurred")
ret... | 22.930556 | 158 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 0.302847 |
6d568baa19ca1079cc5a15acbd9559b0d736935c | 1,836 | py | Python | cq_editor/icons.py | possibilities/CQ-editor | dc950180b365ae39840f6787c8f5a061492734ed | [
"Apache-2.0"
] | 351 | 2018-06-08T14:36:35.000Z | 2022-03-29T22:03:04.000Z | cq_editor/icons.py | possibilities/CQ-editor | dc950180b365ae39840f6787c8f5a061492734ed | [
"Apache-2.0"
] | 315 | 2018-06-08T14:35:08.000Z | 2022-03-31T15:45:27.000Z | cq_editor/icons.py | possibilities/CQ-editor | dc950180b365ae39840f6787c8f5a061492734ed | [
"Apache-2.0"
] | 71 | 2018-06-19T02:00:24.000Z | 2022-03-25T08:55:02.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 25 14:47:10 2018
@author: adam
"""
from PyQt5.QtGui import QIcon
from . import icons_res
_icons = {
'app' : QIcon(":/images/icons/cadquery_logo_dark.svg")
}
import qtawesome as qta
_icons_specs = {
'new' : (('fa.file-o',),{}),
'... | 31.118644 | 158 | 0.421024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 750 | 0.408497 |
6d57153945b51f7d7faf6071ea0fd9dbff460656 | 2,377 | py | Python | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | domain/meta/schedule.py | trcox/py-core-domain | ca490809b247aef08e7de8981432f31b4f9d31a1 | [
"Apache-2.0"
] | null | null | null | # *******************************************************************************
# Copyright 2017 Dell Inc.
#
# 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/L... | 44.849057 | 99 | 0.634834 | 1,494 | 0.628523 | 0 | 0 | 0 | 0 | 0 | 0 | 1,567 | 0.659234 |
6d57330f5890530f320cf62fd898070beece7685 | 1,316 | py | Python | pyheaders/cpp/enum.py | Roynecro97/pyheaders | 0e1e90aef3e18d611ec289b25213e2aa2cc0ab45 | [
"MIT"
] | 2 | 2020-05-19T20:19:37.000Z | 2021-04-06T18:59:06.000Z | pyheaders/cpp/enum.py | Roynecro97/pyheaders | 0e1e90aef3e18d611ec289b25213e2aa2cc0ab45 | [
"MIT"
] | 6 | 2020-05-17T14:25:25.000Z | 2020-07-13T11:45:21.000Z | pyheaders/cpp/enum.py | Roynecro97/pyheaders | 0e1e90aef3e18d611ec289b25213e2aa2cc0ab45 | [
"MIT"
] | null | null | null | '''
Represents a C++ enum.
'''
from collections import OrderedDict
from typing import Any, Optional, Text, Union
class Enum(OrderedDict):
'''
Represents a C++ enum.
'''
def __init__(self, name, items=None):
super().__init__(items or [])
self.name = name
def __getitem__(self, name... | 26.857143 | 130 | 0.578267 | 1,200 | 0.911854 | 0 | 0 | 0 | 0 | 0 | 0 | 168 | 0.12766 |
6d5780d158839c24f720b62513828f2502747533 | 493 | py | Python | Exercicios/ex100.py | mauriciozago/CursoPython3 | cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5 | [
"MIT"
] | null | null | null | Exercicios/ex100.py | mauriciozago/CursoPython3 | cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5 | [
"MIT"
] | null | null | null | Exercicios/ex100.py | mauriciozago/CursoPython3 | cbcff9ebfd4d5f5e3a32a369dac8521c6758bfe5 | [
"MIT"
] | null | null | null | from random import randint
from time import sleep
def sorteia(lista):
print('Sorteando 5 valores da lista:', end=' ')
for num in range(0, 5):
lista.append(randint(1, 10))
sleep(0.5)
print(lista[num], end=' ')
print('PRONTO!')
def somaPar(lista):
soma = 0
for valor in list... | 19.72 | 63 | 0.596349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.198783 |
6d5878f65e5314a4e23460be695252643785c2ed | 4,728 | py | Python | python/fate_client/flow_client/flow_cli/utils/cli_args.py | kakasu/FATE | cfc61ef268154e08a9e7125c047c318c5e5eb42a | [
"Apache-2.0"
] | 2 | 2020-11-21T11:25:08.000Z | 2020-11-21T11:25:11.000Z | python/fate_client/flow_client/flow_cli/utils/cli_args.py | TroubleMaker1994/FATE | 23ad848bcc7ae7f304a376d3f46f4af26872c8a2 | [
"Apache-2.0"
] | null | null | null | python/fate_client/flow_client/flow_cli/utils/cli_args.py | TroubleMaker1994/FATE | 23ad848bcc7ae7f304a376d3f46f4af26872c8a2 | [
"Apache-2.0"
] | 1 | 2021-02-03T08:23:42.000Z | 2021-02-03T08:23:42.000Z | #
# Copyright 2019 The FATE 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 appli... | 51.956044 | 124 | 0.572758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,978 | 0.418359 |
6d595897f47c1cc37b47f1c81df0318c37ce2e88 | 5,210 | py | Python | lightning_transformers/task/nlp/masked_language_modeling/data.py | maksym-taranukhin/lightning-transformers | aa7202657973b5b65c3c36eb745621043859ebc4 | [
"Apache-2.0"
] | null | null | null | lightning_transformers/task/nlp/masked_language_modeling/data.py | maksym-taranukhin/lightning-transformers | aa7202657973b5b65c3c36eb745621043859ebc4 | [
"Apache-2.0"
] | null | null | null | lightning_transformers/task/nlp/masked_language_modeling/data.py | maksym-taranukhin/lightning-transformers | aa7202657973b5b65c3c36eb745621043859ebc4 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 41.68 | 119 | 0.668906 | 4,237 | 0.813244 | 0 | 0 | 2,313 | 0.443954 | 0 | 0 | 1,555 | 0.298464 |
6d5b404b1dc5e6d856457623444459cb2d318391 | 297 | py | Python | lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | lc/1461_CheckIfAStringContainsAllBinaryCodesOfSizeK.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | class Solution:
def hasAllCodes(self, s: str, k: int) -> bool:
seen = set()
i = 0
n = len(s)
while i <= n-k:
if s[i:i+k] not in seen:
seen.add(s[i:i+k])
i += 1
return len(seen)==2 ** k
| 21.214286 | 50 | 0.363636 | 287 | 0.96633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6d5bd3fb4d8e9779c1930d9978e30ba7ba6d66cc | 1,737 | py | Python | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 88 | 2015-01-01T21:12:18.000Z | 2022-03-01T13:36:59.000Z | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 296 | 2015-01-02T15:55:19.000Z | 2022-03-20T20:11:47.000Z | chipy_org/apps/main/views.py | land-of-apps/chipy.org | be433d0cb3453a1550f344c02d6164b6bf4d9e63 | [
"MIT"
] | 83 | 2015-01-25T02:34:24.000Z | 2021-11-08T20:28:36.000Z | import datetime
import sys
import traceback
from django.contrib import messages
from django.contrib.auth.views import LogoutView
from django.http import HttpResponse, HttpResponseServerError
from django.template import loader
from django.views.generic import TemplateView
from chipy_org.apps.meetings.models import Mee... | 28.016129 | 98 | 0.672999 | 797 | 0.458837 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.088083 |
6d5c27efea898ab26417bfa0e4161873555a02b3 | 1,718 | py | Python | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | web_market/catalog/models.py | AK-1121/small_market_with_django | 95a3b395e272b3c84400cd3d2ef92affe76dc328 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class ProductType(models.Model):
name = models.CharField(max_length=50, unique=True)
raiting = models.FloatField()
description = models.TextField(default='')
class SubProductType(models.Model):
name = models.CharField(max_length=50, unique=True... | 31.236364 | 72 | 0.720023 | 1,645 | 0.957509 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.05064 |
6d5cfd7abf19372973186603f8a82d3a006b104a | 336 | py | Python | src/app/voltdb/voltdb_src/tools/tcpprobe.py | OpenMPDK/SMDK | 8f19d32d999731242cb1ab116a4cb445d9993b15 | [
"BSD-3-Clause"
] | 44 | 2022-03-16T08:32:31.000Z | 2022-03-31T16:02:35.000Z | src/app/voltdb/voltdb_src/tools/tcpprobe.py | H2O0Lee/SMDK | eff49bc17a55a83ea968112feb2e2f2ea18c4ff5 | [
"BSD-3-Clause"
] | 1 | 2022-03-29T02:30:28.000Z | 2022-03-30T03:40:46.000Z | src/app/voltdb/voltdb_src/tools/tcpprobe.py | H2O0Lee/SMDK | eff49bc17a55a83ea968112feb2e2f2ea18c4ff5 | [
"BSD-3-Clause"
] | 18 | 2022-03-19T04:41:04.000Z | 2022-03-31T03:32:12.000Z | #!/usr/bin/env python
from __future__ import with_statement
from sys import argv
from socket import socket
from contextlib import closing
def main(args):
host, port = args[1:]
with closing(socket()) as s:
try: s.connect((host,int(port)))
except: return 1
if __name__ == '__main__':
exit(main(argv))
# v... | 18.666667 | 37 | 0.699405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.145833 |
6d5ee2879ab66f8685eefe4e79bc72d5182956c0 | 8,313 | py | Python | pythonFiles/arcgis_Script.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | pythonFiles/arcgis_Script.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | pythonFiles/arcgis_Script.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# **********************************************************************************************************************
# MIT License
# Copyright (c) 2020 School of Environmental Science and Engineering, Shanghai Jiao Tong University
# Permission is hereby granted, free of charge, to any per... | 41.358209 | 120 | 0.634428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,070 | 0.479444 |
6d5f3bebf3edb62a00a49fe6236b8ebde098e6fa | 19,903 | py | Python | examples/example_topop_tb_v4_analysis_roi.py | qiancao/BoneBox | 0d10dac7c93f16f0643bebc62c63be2f4bd099f6 | [
"BSD-3-Clause"
] | 1 | 2022-03-11T20:49:19.000Z | 2022-03-11T20:49:19.000Z | examples/example_topop_tb_v4_analysis_roi.py | qiancao/BoneBox | 0d10dac7c93f16f0643bebc62c63be2f4bd099f6 | [
"BSD-3-Clause"
] | null | null | null | examples/example_topop_tb_v4_analysis_roi.py | qiancao/BoneBox | 0d10dac7c93f16f0643bebc62c63be2f4bd099f6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 20 21:29:32 2021
@author: qcao
Analysis code for example_topop_tb_v3.py
Parses and cleans load-driven phantoms. Computes Radiomic signatures. Compares with BvTv.
Compare with ROIs
"""
# FEA and BoneBox Imports
import os
import sys
sys.path.appe... | 33.848639 | 127 | 0.631061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,061 | 0.455258 |
6d61966b535b9419b168bfc49be236b95f338598 | 1,711 | py | Python | getKeypoints.py | franzqueissner/mimic-detection | 9dc49cf57baaa7da8bb1d8eee0efe00b57384fca | [
"MIT"
] | null | null | null | getKeypoints.py | franzqueissner/mimic-detection | 9dc49cf57baaa7da8bb1d8eee0efe00b57384fca | [
"MIT"
] | null | null | null | getKeypoints.py | franzqueissner/mimic-detection | 9dc49cf57baaa7da8bb1d8eee0efe00b57384fca | [
"MIT"
] | null | null | null | import os
import threading
import json
from classes import Keypoint
def wait_for_frames():
while not os.path.isdir('keypoints/run0'):
print("waiting for frame dir, pls start openpose")
print("dir detected!")
while len(os.listdir("keypoints/run0")) == 0:
print("dir empty, waiting for frames"... | 29 | 104 | 0.675044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 0.25716 |
6d61df73bcd30bdd6c6b9c5e709c560281476999 | 1,820 | py | Python | django/venues/migrations/0001_initial.py | jdrager/mnl-api | be5ce52ed154ec103f9f911da6753d7f2a0fe736 | [
"MIT"
] | 1 | 2018-02-02T18:49:27.000Z | 2018-02-02T18:49:27.000Z | django/venues/migrations/0001_initial.py | monday-night-lights/mnl-api | be5ce52ed154ec103f9f911da6753d7f2a0fe736 | [
"MIT"
] | 26 | 2018-02-01T14:39:40.000Z | 2021-10-13T14:11:29.000Z | django/venues/migrations/0001_initial.py | jdrager/mnl-api | be5ce52ed154ec103f9f911da6753d7f2a0fe736 | [
"MIT"
] | 7 | 2018-02-01T13:33:00.000Z | 2019-03-21T01:39:13.000Z | # Generated by Django 2.1.4 on 2019-01-04 01:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Venue',
fields=[
... | 39.565217 | 188 | 0.569231 | 1,694 | 0.930769 | 0 | 0 | 0 | 0 | 0 | 0 | 279 | 0.153297 |
6d635b80fde3903f9b7a6383d92859ddc318ba94 | 484 | py | Python | test/__init__.py | davidmaignan/test | a2c746bf60ccf96b1d753202fba6725b57527aec | [
"Apache-2.0"
] | null | null | null | test/__init__.py | davidmaignan/test | a2c746bf60ccf96b1d753202fba6725b57527aec | [
"Apache-2.0"
] | null | null | null | test/__init__.py | davidmaignan/test | a2c746bf60ccf96b1d753202fba6725b57527aec | [
"Apache-2.0"
] | null | null | null | # import qgis libs so that ve set the correct sip api version
import qgis # pylint: disable=W0611 # NOQA
import unittest
from test.test_init import TestInit
from test.test_resources import TestResourceTest
def suite_configuration():
suite = unittest.TestSuite()
suite.addTest(TestInit('test_read_init'))
... | 28.470588 | 67 | 0.766529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.274793 |
6d635c6db89e149bfd386a8f61c701f4329339cc | 6,311 | py | Python | locations/spiders/dickeys_barbecue_pit.py | davidchiles/alltheplaces | 6f35f6cd652e7462107ead0a77f322caff198653 | [
"MIT"
] | 297 | 2017-12-07T01:29:14.000Z | 2022-03-29T06:58:01.000Z | locations/spiders/dickeys_barbecue_pit.py | davidchiles/alltheplaces | 6f35f6cd652e7462107ead0a77f322caff198653 | [
"MIT"
] | 2,770 | 2017-11-28T04:20:21.000Z | 2022-03-31T11:29:16.000Z | locations/spiders/dickeys_barbecue_pit.py | davidchiles/alltheplaces | 6f35f6cd652e7462107ead0a77f322caff198653 | [
"MIT"
] | 111 | 2017-11-27T21:40:02.000Z | 2022-01-22T01:21:52.000Z | import scrapy
import re
from urllib.parse import urlparse
from locations.hours import OpeningHours
from locations.items import GeojsonPointItem
ALL_DAYS = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su']
class DickeysBarbecuePitSpider(scrapy.Spider):
name = "dickeys_barbecue_pit"
item_attributes = { '... | 41.519737 | 121 | 0.534464 | 6,097 | 0.966091 | 2,545 | 0.403264 | 0 | 0 | 0 | 0 | 2,065 | 0.327206 |
6d648804452d20f1849971ab4c6c5df716e95168 | 25,970 | py | Python | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | null | null | null | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | 61 | 2020-04-25T20:17:05.000Z | 2020-09-20T20:41:24.000Z | spotifython/session.py | Guptacos/spotifython | 9d42e903f29667906abd959b45b642a9645c60d1 | [
"MIT"
] | null | null | null | """ Session class. """
# Standard library imports
import math
# Local imports
import spotifython.constants as const
from spotifython.endpoints import Endpoints
import spotifython.utils as utils
class Session:
""" Represents an interactive Spotify session, tied to a Spotify API token.
Use methods here to dea... | 35.575342 | 86 | 0.578783 | 25,544 | 0.983596 | 0 | 0 | 0 | 0 | 0 | 0 | 13,556 | 0.521987 |
6d659aab0b30c16249cae3380b770eb52697e6c0 | 2,993 | py | Python | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | paper/plotPreliminary.py | SebastianGer/biases-in-word-embeddings | 001499003caf213acf62dffbe29a54259a60e3e4 | [
"MIT"
] | null | null | null | # Plots results of preliminary experiments to determine parameter settings for all other experiments
import pandas as pd
import matplotlib
matplotlib.use('pgf')
import matplotlib.pyplot as plt
df = pd.read_csv("data/preliminaryWord2vecComplete_clean.csv")
df3 = df.query('(skipgram == 1) & (contextwindow == 3)')
df5... | 39.381579 | 100 | 0.700969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,505 | 0.50284 |
ed8cc5798db544fbe8ee797bd37f85e2f59ad788 | 8,156 | py | Python | facePose.py | cyndi088/head-pose-estimation-face-landmark | f4ef5b977800cc8c0c54dae8b86d21f616ecb38b | [
"MIT"
] | null | null | null | facePose.py | cyndi088/head-pose-estimation-face-landmark | f4ef5b977800cc8c0c54dae8b86d21f616ecb38b | [
"MIT"
] | null | null | null | facePose.py | cyndi088/head-pose-estimation-face-landmark | f4ef5b977800cc8c0c54dae8b86d21f616ecb38b | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# pylint: disable=C0103
# pylint: disable=E1101
import os
import numpy as np
import cv2
import caffe
def retifyxxyy(img, xxyy):
"""
let xxyy within image size
img: image
xxyy: left, right, top, bottom
return modified xxyy
"""
img_height, img_width... | 29.128571 | 161 | 0.608877 | 5,169 | 0.633767 | 0 | 0 | 0 | 0 | 0 | 0 | 1,928 | 0.23639 |
ed9190d07952044973458f3da01194e2467b9134 | 763 | py | Python | setup_extensions.py | pygeo/pycmbs | 0df863e1575ffad21c1ea9790bcbd3a7982d99c6 | [
"MIT"
] | 9 | 2015-04-01T04:22:25.000Z | 2018-08-31T03:51:34.000Z | setup_extensions.py | pygeo/pycmbs | 0df863e1575ffad21c1ea9790bcbd3a7982d99c6 | [
"MIT"
] | 14 | 2015-01-27T20:33:10.000Z | 2016-06-02T07:23:25.000Z | setup_extensions.py | pygeo/pycmbs | 0df863e1575ffad21c1ea9790bcbd3a7982d99c6 | [
"MIT"
] | 8 | 2015-02-07T20:46:42.000Z | 2019-10-25T00:36:32.000Z | # -*- coding: utf-8 -*-
"""
This file is part of pyCMBS.
(c) 2012- Alexander Loew
For COPYING and LICENSE details, please refer to the LICENSE file
"""
"""
module to compile the required python extensions
This is for development purposes only! Later on
it might be integrated into the standard setup.py
"""
# http://d... | 25.433333 | 65 | 0.743119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 577 | 0.756225 |
ed9319b4c643894e862dc180400d3e4c6e873027 | 68 | py | Python | src/models/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | 4 | 2021-12-08T14:27:19.000Z | 2022-01-05T20:19:03.000Z | src/models/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | null | null | null | src/models/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | null | null | null | from src.models.classifiers import *
from src.models.frank import *
| 22.666667 | 36 | 0.794118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ed9343bfb5b3ee8263500da7447ed1563a0c1cf8 | 10,469 | py | Python | tutorials/05-dcr/plot_fwd_2_dcr2d.py | ElliotCheung/simpeg | ce5bde154179ca63798a62a12787a7ec3535472c | [
"MIT"
] | 1 | 2022-02-18T16:31:27.000Z | 2022-02-18T16:31:27.000Z | tutorials/05-dcr/plot_fwd_2_dcr2d.py | ElliotCheung/simpeg | ce5bde154179ca63798a62a12787a7ec3535472c | [
"MIT"
] | null | null | null | tutorials/05-dcr/plot_fwd_2_dcr2d.py | ElliotCheung/simpeg | ce5bde154179ca63798a62a12787a7ec3535472c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
DC Resistivity Forward Simulation in 2.5D
=========================================
Here we use the module *SimPEG.electromagnetics.static.resistivity* to predict
DC resistivity data and plot using a pseudosection. In this tutorial, we focus
on the following:
- How to define the survey... | 31.250746 | 88 | 0.66845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,032 | 0.480657 |
ed936cafecf6046c66b2300745cd962b854537e7 | 23,944 | py | Python | Feature_Selection.py | ksegaba/ML-Pipeline | cd3914563ccd2e2eb863a55e7fe774108280ed47 | [
"MIT"
] | 12 | 2019-09-30T21:17:40.000Z | 2022-02-11T00:22:52.000Z | Feature_Selection.py | DanyelleJhang/ML-Pipeline | 78073fd1004f831c4efdd05e0f1eb78c8bae4fcb | [
"MIT"
] | 6 | 2021-08-03T14:29:16.000Z | 2021-11-17T22:39:13.000Z | Feature_Selection.py | DanyelleJhang/ML-Pipeline | 78073fd1004f831c4efdd05e0f1eb78c8bae4fcb | [
"MIT"
] | 17 | 2017-05-22T21:03:42.000Z | 2022-03-01T15:06:29.000Z | """
PURPOSE:
Run feature selection mettestd available from sci-kit learn on a given dataframe
Must set path to Miniconda in HPC: export PATH=/mnt/testme/azodichr/miniconda3/bin:$PATH
INPUT:
-df Feature file for ML. If class/Y values are in a separate file use -df for features and -df2 for class/Y
-alg ... | 36.169184 | 144 | 0.636527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,688 | 0.446375 |
ed95341fd58164725063ce6ee238cb6800234854 | 6,815 | py | Python | analyses/seasonality_paper_st/comparisons/specific.py | akuhnregnier/wildfire-analysis | a04deada145cec864051d2fb15aec1a53a0246b9 | [
"MIT"
] | null | null | null | analyses/seasonality_paper_st/comparisons/specific.py | akuhnregnier/wildfire-analysis | a04deada145cec864051d2fb15aec1a53a0246b9 | [
"MIT"
] | null | null | null | analyses/seasonality_paper_st/comparisons/specific.py | akuhnregnier/wildfire-analysis | a04deada145cec864051d2fb15aec1a53a0246b9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import warnings
from pathlib import Path
PROJECT_DIR = Path(__file__).resolve().parent
if sys.path[0] != str(PROJECT_DIR.parent):
sys.path.insert(0, str(PROJECT_DIR.parent))
warnings.filterwarnings(
"ignore", category=FutureWarning, module="sklearn.utils.deprecation"
)
from ... | 29.375 | 96 | 0.612619 | 0 | 0 | 0 | 0 | 266 | 0.039032 | 0 | 0 | 936 | 0.137344 |
ed96aca008acbd291e61b7b834d23df210a0de3f | 722 | py | Python | scripts/bbann_script/rewrite.py | PwzXxm/BBAnn | 2dafce027599b3cdf84070248467294dca2a1042 | [
"MIT"
] | 11 | 2021-11-01T06:49:30.000Z | 2022-02-25T08:09:21.000Z | scripts/bbann_script/rewrite.py | PwzXxm/BBAnn | 2dafce027599b3cdf84070248467294dca2a1042 | [
"MIT"
] | null | null | null | scripts/bbann_script/rewrite.py | PwzXxm/BBAnn | 2dafce027599b3cdf84070248467294dca2a1042 | [
"MIT"
] | 5 | 2021-11-04T02:18:41.000Z | 2022-03-17T04:13:07.000Z | #!/usr/bin/python3
import sys
column_num=eval(sys.argv[1])
print("ARGUMENT column_num: ", column_num)
file_name = "tana_res.txt"
records = {}
with open(file_name) as f:
while True:
line = f.readline() # Line 1: log file name
if not line:
break
print(line.strip())
key = f.readline().strip() # Line 2: the k... | 22.5625 | 71 | 0.65097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.227147 |
ed96b143353b2e72a3e901bf774af07ab594b2aa | 2,743 | py | Python | kloppy/tests/test_datafactory.py | ThomasSeidl/kloppy | ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded | [
"BSD-3-Clause"
] | 176 | 2020-04-24T09:12:05.000Z | 2022-03-27T07:03:44.000Z | kloppy/tests/test_datafactory.py | ThomasSeidl/kloppy | ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded | [
"BSD-3-Clause"
] | 95 | 2020-04-24T18:37:36.000Z | 2022-03-23T21:59:10.000Z | kloppy/tests/test_datafactory.py | ThomasSeidl/kloppy | ca59bb2aa3b54b08a50d35e2ed2dd3c2f56cdded | [
"BSD-3-Clause"
] | 39 | 2020-05-08T21:45:26.000Z | 2022-03-19T09:29:41.000Z | import os
from kloppy import DatafactorySerializer
from kloppy.domain import (
AttackingDirection,
Ground,
Orientation,
Period,
Point,
Provider,
SetPieceType,
)
from kloppy.domain.models.common import DatasetType
class TestDatafactory:
def test_correct_deserialization(self):
b... | 33.864198 | 79 | 0.638717 | 2,498 | 0.910682 | 0 | 0 | 0 | 0 | 0 | 0 | 202 | 0.073642 |
ed96c2f783024bd964e139219b7d2d0bf6f1f219 | 2,308 | py | Python | models/BiLSTM_MHATT.py | shiqiuwang/shiqiuwang-N2NCause | a6cdb702b000b62b29ccdbd74bfbb666420124f1 | [
"MIT"
] | null | null | null | models/BiLSTM_MHATT.py | shiqiuwang/shiqiuwang-N2NCause | a6cdb702b000b62b29ccdbd74bfbb666420124f1 | [
"MIT"
] | null | null | null | models/BiLSTM_MHATT.py | shiqiuwang/shiqiuwang-N2NCause | a6cdb702b000b62b29ccdbd74bfbb666420124f1 | [
"MIT"
] | null | null | null | import tensorflow as tf
from layers.attention import stacked_multihead_attention
from layers.recurrent import rnn_layer
from layers.similarity import manhattan_similarity
from models.base_model import BaseSiameseNet
class LSTMATTBasedSiameseNet(BaseSiameseNet):
def __init__(
self,
ma... | 30.368421 | 81 | 0.596187 | 2,088 | 0.904679 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.073657 |
ed974b0d6e70499730b205caa7425ce10c83731b | 2,237 | py | Python | sciquence/sequences/sliding_window.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 8 | 2017-10-23T17:59:35.000Z | 2021-05-10T03:01:30.000Z | sciquence/sequences/sliding_window.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 2 | 2019-08-25T19:24:12.000Z | 2019-09-05T12:16:10.000Z | sciquence/sequences/sliding_window.py | krzjoa/sciquence | 6a5f758c757200fffeb0fdc9206462f1f89e2444 | [
"MIT"
] | 2 | 2018-02-28T09:47:53.000Z | 2019-08-25T19:24:16.000Z | # Krzysztof Joachimiak 2017
# sciquence: Time series & sequences in Python
#
# Sliding window
# Author: Krzysztof Joachimiak
#
# License: MIT
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.preprocessing import Imputer
class SlidingWindow(BaseEstimator, TransformerMixin):
# TODO: check ref... | 21.509615 | 69 | 0.588735 | 1,989 | 0.889137 | 0 | 0 | 0 | 0 | 0 | 0 | 1,620 | 0.724184 |
ed992d81dea8a5144be3f93a447f968a5f7b383d | 2,923 | py | Python | ddesigner/conditional.py | Ball-Man/python-ddesigner | 2e1522e28389fe6e2d7b40f8877732563d3dd368 | [
"MIT"
] | 1 | 2021-08-17T10:40:48.000Z | 2021-08-17T10:40:48.000Z | ddesigner/conditional.py | Ball-Man/python-ddesigner | 2e1522e28389fe6e2d7b40f8877732563d3dd368 | [
"MIT"
] | null | null | null | ddesigner/conditional.py | Ball-Man/python-ddesigner | 2e1522e28389fe6e2d7b40f8877732563d3dd368 | [
"MIT"
] | null | null | null | """Module containing the logic for an arithmetic parser.
Lark is used as a parser generator.
"""
from typing import Mapping
import operator
import lark
# Default syntax for arithmetic expressions
ARITHM_EXPRESSIONS_SYNTAX = """
?start: or
?or: and
| or "||" and -> or_
| or "or" and -> or_
?and: comparison
... | 23.384 | 70 | 0.609648 | 1,137 | 0.388984 | 0 | 0 | 1,163 | 0.397879 | 0 | 0 | 1,685 | 0.576463 |
ed999549258bd692481abf7879dce3a39b46c915 | 5,996 | py | Python | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 217 | 2020-04-10T16:39:36.000Z | 2022-03-30T15:39:04.000Z | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 79 | 2021-06-23T10:40:10.000Z | 2021-12-16T07:59:42.000Z | src/opendr/perception/object_detection_3d/voxel_object_detection_3d/second_detector/pytorch/builder/lr_scheduler_builder.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 29 | 2021-12-16T09:26:13.000Z | 2022-03-29T15:19:18.000Z | # Copyright 2017 The TensorFlow 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 applica... | 35.690476 | 84 | 0.698299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,832 | 0.305537 |
ed9a8d66960ed413540be7e9fc0394c6fc149910 | 1,656 | py | Python | samples/wmi/wmi_request.py | R3dFruitRollUp/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | 1 | 2018-11-15T11:15:56.000Z | 2018-11-15T11:15:56.000Z | samples/wmi/wmi_request.py | killvxk/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | null | null | null | samples/wmi/wmi_request.py | killvxk/PythonForWindows | b253bc5873e7d97087ed22f2753b51fc6880ec18 | [
"BSD-3-Clause"
] | 1 | 2018-12-01T19:11:49.000Z | 2018-12-01T19:11:49.000Z | import sys
import os.path
import pprint
sys.path.append(os.path.abspath(__file__ + "\..\.."))
import windows
print("WMI requester is {0}".format(windows.system.wmi))
print("Selecting * from 'Win32_Process'")
result = windows.system.wmi.select("Win32_Process")
print("They are <{0}> processes".format(len(result)))
pri... | 36.8 | 98 | 0.660628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 792 | 0.478261 |
ed9b02518328f3649735b397457fcd707b2a240e | 92 | py | Python | POP1/worksheets/two/ex15/code.py | silvafj/BBK-MSCCS-2017-18 | d97b0f8e7434d19a1a4006989c32c4c1deb93842 | [
"MIT"
] | 1 | 2021-12-29T19:38:56.000Z | 2021-12-29T19:38:56.000Z | POP1/worksheets/two/ex15/code.py | silvafj/BBK-MSCCS-2017-18 | d97b0f8e7434d19a1a4006989c32c4c1deb93842 | [
"MIT"
] | null | null | null | POP1/worksheets/two/ex15/code.py | silvafj/BBK-MSCCS-2017-18 | d97b0f8e7434d19a1a4006989c32c4c1deb93842 | [
"MIT"
] | 2 | 2021-04-08T22:58:03.000Z | 2021-04-09T01:16:51.000Z | l = [int(e) for e in input().split()]
for n in l:
if l.count(n) == 1:
print(n)
| 15.333333 | 37 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ed9cb27df1647e3b076c465c218bb03a9d9b60ef | 20,065 | py | Python | source.py | Shailendram1990/COVID19_mobility | 70dc3d05313b233229ea5f8d1c4c1b0dffe44e33 | [
"MIT"
] | 1 | 2020-07-21T16:11:51.000Z | 2020-07-21T16:11:51.000Z | source.py | Shailendram1990/COVID19_mobility | 70dc3d05313b233229ea5f8d1c4c1b0dffe44e33 | [
"MIT"
] | null | null | null | source.py | Shailendram1990/COVID19_mobility | 70dc3d05313b233229ea5f8d1c4c1b0dffe44e33 | [
"MIT"
] | null | null | null | """
This script loads Google and Apple Mobility reports, builds cleaned reports in different formats and builds merged files from both sources.
Original data:
- Google Community Mobility reports: https://www.google.com/covid19/mobility/
- Apple Mobility Trends reports: https://www.apple.com/covid19/mobili... | 42.782516 | 140 | 0.579018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,230 | 0.410167 |
ed9e27a1dfc15a74b30acc3524b9b0e30df90f89 | 4,975 | py | Python | racing_data/performance_list.py | predictive-punter/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 15 | 2017-04-08T05:22:49.000Z | 2021-04-20T17:33:22.000Z | racing_data/performance_list.py | phillc73/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 54 | 2016-07-21T10:35:45.000Z | 2016-07-30T23:06:50.000Z | racing_data/performance_list.py | phillc73/racing_data | 0d1b0ad0fe7591ce859d528af719349c0c7534d3 | [
"MIT"
] | 7 | 2016-12-15T06:02:54.000Z | 2020-04-20T15:32:55.000Z | class PerformanceList(list):
"""A performance list provides statistical analysis functionality for a list of performances"""
@property
def earnings(self):
"""Return the total prize money for the performances in this list"""
prize_monies = [performance['prize_money'] for performance in self... | 34.79021 | 156 | 0.665126 | 4,974 | 0.999799 | 0 | 0 | 4,125 | 0.829146 | 0 | 0 | 1,712 | 0.344121 |
ed9eb4ccb84e2b5861f5d2fd5428fb0fde542ab3 | 343 | py | Python | Leetcode/72. Edit Distance/solution2.py | asanoviskhak/Outtalent | c500e8ad498f76d57eb87a9776a04af7bdda913d | [
"MIT"
] | 51 | 2020-07-12T21:27:47.000Z | 2022-02-11T19:25:36.000Z | Leetcode/72. Edit Distance/solution2.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | null | null | null | Leetcode/72. Edit Distance/solution2.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | 32 | 2020-07-27T13:54:24.000Z | 2021-12-25T18:12:50.000Z | class Solution:
def minDistance(self, word1: str, word2: str) -> int:
@lru_cache(None)
def dp(i, j):
if i < 0 or j < 0: return max(i, j) + 1
return dp(i - 1, j - 1) if word1[i] == word2[j] else min(dp(i - 1, j), dp(i - 1, j - 1), dp(i, j - 1)) + 1
return dp(len(word1... | 38.111111 | 118 | 0.483965 | 342 | 0.997085 | 0 | 0 | 209 | 0.609329 | 0 | 0 | 0 | 0 |
eda08d58045fdf93c52e02e54d88ae92b393de36 | 2,130 | py | Python | cogs/lyrics.py | minihut/leafy-bot | b9c12b18f8a6ba8409ced5fe352421623bbffcee | [
"MIT"
] | 12 | 2021-01-19T05:47:03.000Z | 2022-01-14T12:51:33.000Z | cogs/lyrics.py | minihut/leafy-bot | b9c12b18f8a6ba8409ced5fe352421623bbffcee | [
"MIT"
] | 1 | 2021-02-22T12:08:10.000Z | 2021-02-22T12:08:10.000Z | cogs/lyrics.py | minihut/leafy-bot | b9c12b18f8a6ba8409ced5fe352421623bbffcee | [
"MIT"
] | 12 | 2021-01-17T07:31:34.000Z | 2021-05-17T14:01:07.000Z | import discord
import requests
from discord.ext import commands
from discord.ext.commands import BucketType, cooldown
class Lyrics(commands.Cog):
def __init__(self, client):
self.client = client
@commands.Cog.listener()
async def on_ready(self):
print("Lyrics cog loaded successfully")
... | 31.323529 | 88 | 0.528638 | 1,953 | 0.916901 | 0 | 0 | 1,853 | 0.869953 | 1,698 | 0.797183 | 388 | 0.18216 |
eda1be23822efe6556205accc545c9d894a8431d | 2,761 | py | Python | model_train.py | Sanatramesh/PCamNet | 7238a87584ffec26336ae2034ec5723d8a035dca | [
"BSD-3-Clause"
] | null | null | null | model_train.py | Sanatramesh/PCamNet | 7238a87584ffec26336ae2034ec5723d8a035dca | [
"BSD-3-Clause"
] | null | null | null | model_train.py | Sanatramesh/PCamNet | 7238a87584ffec26336ae2034ec5723d8a035dca | [
"BSD-3-Clause"
] | null | null | null | import time
import pickle
import numpy as np
from copy import deepcopy
class ModelTraining:
def __init__(self, model, data_loader, batch_size = 10, epochs = 20, model_ckpt_file = 'model/PCamNet'):
self.model = model
self.data_loader = data_loader # List of tuple: (left_cam, right_cam, disp_map) fi... | 37.821918 | 108 | 0.561391 | 2,688 | 0.97356 | 0 | 0 | 0 | 0 | 0 | 0 | 495 | 0.179283 |
eda283b01e0b59cd7f31f32beaffd18135370de1 | 695 | py | Python | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2022-03-09T20:13:57.000Z | 2022-03-09T20:13:57.000Z | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2021-10-01T16:20:06.000Z | 2021-10-01T17:25:30.000Z | generatemusic/generate_waveforms.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.fft import ifft
def generate_waveforms(data: np.ndarray) -> np.ndarray:
"""
Generate waveforms from frequency domains
:param data: frequency domains (where first n/2 examples consist of real values and the rest consists
of imaginary values)
:return: numpy array conta... | 26.730769 | 105 | 0.722302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.356835 |
eda47ef3a198b2afd2d1ca2fa747773c857b5cf8 | 3,745 | py | Python | aiohttp_pydantic/oas/docstring_parser.py | HerrMuellerluedenscheid/aiohttp-pydantic | 87b4487cc46213a3248807825e2e3e71413fa543 | [
"MIT"
] | 42 | 2020-11-18T16:14:45.000Z | 2022-03-21T09:18:48.000Z | aiohttp_pydantic/oas/docstring_parser.py | HerrMuellerluedenscheid/aiohttp-pydantic | 87b4487cc46213a3248807825e2e3e71413fa543 | [
"MIT"
] | 26 | 2020-11-15T08:27:09.000Z | 2022-03-04T15:26:20.000Z | aiohttp_pydantic/oas/docstring_parser.py | HerrMuellerluedenscheid/aiohttp-pydantic | 87b4487cc46213a3248807825e2e3e71413fa543 | [
"MIT"
] | 11 | 2020-11-24T22:13:35.000Z | 2021-10-02T19:56:26.000Z | """
Utility to extract extra OAS description from docstring.
"""
import re
import textwrap
from typing import Dict, List
class LinesIterator:
def __init__(self, lines: str):
self._lines = lines.splitlines()
self._i = -1
def next_line(self) -> str:
if self._i == len(self._lines) - 1:
... | 27.335766 | 87 | 0.558344 | 551 | 0.14713 | 959 | 0.256075 | 0 | 0 | 0 | 0 | 762 | 0.203471 |
eda6101f4f3ce0ae4b05b44676ba1870709c8953 | 802 | py | Python | ExerciciosPYTHON/PythonCeV/073.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | null | null | null | ExerciciosPYTHON/PythonCeV/073.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | 2 | 2022-03-18T16:06:07.000Z | 2022-03-18T16:55:29.000Z | ExerciciosPYTHON/PythonCeV/073.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | null | null | null | print('='*8,'Tuplas com Times de Futebol','='*8)
cf = ('Palmeiras', 'Santos', 'Vasco da Gama', 'Grêmio', 'Flamengo', 'Corinthians', 'Internacional', 'Cruzeiro', 'São Paulo', 'Atlético Mineiro', 'Botafogo', 'Fluminense', 'Coritiba', 'Bahia', 'Goiás', 'Guarani', 'Sport', 'Portuguesa', 'Atlético Paranaense', 'Vitória')
pr... | 53.466667 | 268 | 0.660848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 629 | 0.771779 |
eda7e04ad9c248cbb73643c80f0b53fa4f66d240 | 527 | py | Python | setup.py | dcrowe/sdk-python | f8f069725a7beda67cb25f94425972913b08373e | [
"Apache-2.0"
] | null | null | null | setup.py | dcrowe/sdk-python | f8f069725a7beda67cb25f94425972913b08373e | [
"Apache-2.0"
] | null | null | null | setup.py | dcrowe/sdk-python | f8f069725a7beda67cb25f94425972913b08373e | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
setup(
name='visual_regression_tracker',
version='4.0.0',
description='Open source, self hosted solution for visual testing '
'and managing results of visual testing.',
long_description=open('README.md').read(),
long_description_content_type='text/markdo... | 31 | 71 | 0.685009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.525617 |
eda7fe44739cb06874629ff7fa3f82ea841088f1 | 423 | py | Python | World 1/Exercise 31.py | NikiReis/Python--Exercises | 2f50a3cd6900cec024edcf1a812d1cd86afcdea1 | [
"MIT"
] | null | null | null | World 1/Exercise 31.py | NikiReis/Python--Exercises | 2f50a3cd6900cec024edcf1a812d1cd86afcdea1 | [
"MIT"
] | null | null | null | World 1/Exercise 31.py | NikiReis/Python--Exercises | 2f50a3cd6900cec024edcf1a812d1cd86afcdea1 | [
"MIT"
] | null | null | null | print("-"*14)
print("Km's Calculation")
print("-"*14)
kms = int(input("How many kilometers did you drive ? "))
if kms<=200:
price = kms*0.50
print("Price to be paied out equivalent\nto quantity of the kilometers that you have driven: R$ {}".format(price))
else:
price = kms*0.45
print("Price... | 35.25 | 119 | 0.661939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 249 | 0.588652 |
eda80428d8aaafe609a0be6935df873454da8b92 | 10,224 | py | Python | tests/test_objects.py | kipyin/phanpy | f66fb1b181aeec6183bb03bd748e6ed535496a54 | [
"MIT"
] | null | null | null | tests/test_objects.py | kipyin/phanpy | f66fb1b181aeec6183bb03bd748e6ed535496a54 | [
"MIT"
] | null | null | null | tests/test_objects.py | kipyin/phanpy | f66fb1b181aeec6183bb03bd748e6ed535496a54 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import pytest
import os, sys
file_path = os.path.dirname(os.path.abspath(__file__))
root_path = file_path.replace('/phanpy/tests', '')
sys.path.append(root_path) if root_path not in sys.path else None
import numpy as np
from phanpy.core.objects import Status, Item, Move... | 33.742574 | 83 | 0.624902 | 9,558 | 0.934859 | 238 | 0.023279 | 306 | 0.02993 | 0 | 0 | 876 | 0.085681 |
eda9ec61c9c268e74679c06d29ce37757b47bb1d | 5,743 | py | Python | Modules/Dependency/Metadata_Interpreter.py | dobedobedo/Parrot_Sequoia_Image_Handler | e8d44d88006cf1f4e597aac1523c6f4458534e5b | [
"MIT"
] | 6 | 2018-06-27T10:13:29.000Z | 2020-05-11T03:00:10.000Z | Modules/Dependency/Metadata_Interpreter.py | dobedobedo/Parrot_Sequoia_Image_Handler | e8d44d88006cf1f4e597aac1523c6f4458534e5b | [
"MIT"
] | null | null | null | Modules/Dependency/Metadata_Interpreter.py | dobedobedo/Parrot_Sequoia_Image_Handler | e8d44d88006cf1f4e597aac1523c6f4458534e5b | [
"MIT"
] | 3 | 2017-09-25T12:46:38.000Z | 2021-06-15T15:57:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 23 16:08:19 2017
@author: uqytu1
"""
import math
import numpy as np
import urllib.request
import json
import base64
import struct
import datetime
import pytz
def GetLonLat(Metadata):
Position = Metadata['GPSPosition'].split(',')
Latitude = ... | 34.596386 | 97 | 0.632596 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 957 | 0.166638 |
edabc77fd3da28138cd10a06ef81ba6b153764ea | 453 | py | Python | lectures/5_Image_Analysis/combine_color_image.py | jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing | e4b831460bddd34e7ad1d8888327c8d85b80e35e | [
"BSD-3-Clause"
] | 1 | 2021-11-10T15:34:37.000Z | 2021-11-10T15:34:37.000Z | lectures/5_Image_Analysis/combine_color_image.py | jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing | e4b831460bddd34e7ad1d8888327c8d85b80e35e | [
"BSD-3-Clause"
] | null | null | null | lectures/5_Image_Analysis/combine_color_image.py | jagar2/Summer_2020_MAT-395-495_Scientific-Data-Analysis-and-Computing | e4b831460bddd34e7ad1d8888327c8d85b80e35e | [
"BSD-3-Clause"
] | 3 | 2020-08-06T15:11:50.000Z | 2022-01-05T20:21:09.000Z |
from skimage import draw
red = np.zeros((300, 300))
green = np.zeros((300, 300))
blue = np.zeros((300, 300))
r, c = draw.circle(100, 100, 100)
red[r, c] = 1
r, c = draw.circle(100, 200, 100)
green[r, c] = 1
r, c = draw.circle(200, 150, 100)
blue[r, c] = 1
f, axes = plt.subplots(1, 3)
for (ax, channel) in zip(axes... | 19.695652 | 51 | 0.600442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.024283 |
edb02ecbb069aa18674ef4e8555933c211f6074c | 1,398 | py | Python | chapters/chapter_3/NN_yelp/main.py | Penguin-Run/PyTorchBook | a310246ffed33d53a70cd7f2fd971f1626dcbebf | [
"Apache-2.0"
] | null | null | null | chapters/chapter_3/NN_yelp/main.py | Penguin-Run/PyTorchBook | a310246ffed33d53a70cd7f2fd971f1626dcbebf | [
"Apache-2.0"
] | null | null | null | chapters/chapter_3/NN_yelp/main.py | Penguin-Run/PyTorchBook | a310246ffed33d53a70cd7f2fd971f1626dcbebf | [
"Apache-2.0"
] | null | null | null | from .training.ReviewClassifier import ReviewClassifier
from .data_managing.Dataset import ReviewDataset
from .training.hyperparameters import args
from .testing import compute_loss_acc as loss_acc
from .testing import predict_rating as predict
from .testing import analizing as analyze
if __name__ == '__main__':
... | 41.117647 | 100 | 0.724607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.194484 |
edb0ab27e8375216bb7fe46df1fbcdeb336314c4 | 6,573 | py | Python | setup.py | hpleva/ai4materials | 5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2 | [
"Apache-2.0"
] | null | null | null | setup.py | hpleva/ai4materials | 5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2 | [
"Apache-2.0"
] | null | null | null | setup.py | hpleva/ai4materials | 5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2 | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages, Extension
# To use a consistent encoding
from codecs import open
# Other stuff
import sys, os, fileinput
import versioneer
here = os.path.dirname(os.path.realpath(__file__))
def main():
# Start package setup
# Get the long description from the README file
wit... | 42.681818 | 126 | 0.597596 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,731 | 0.719763 |
edb1c338921c46604a227fc5ad3a3537657d82d7 | 1,074 | py | Python | zeekofile/_controllers/blog/permapage.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | 1 | 2022-02-20T08:02:00.000Z | 2022-02-20T08:02:00.000Z | zeekofile/_controllers/blog/permapage.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | 1 | 2021-07-23T19:45:58.000Z | 2021-07-23T19:45:58.000Z | zeekofile/_controllers/blog/permapage.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | null | null | null | from zeekofile.cache import zf
import re
blog = zf.config.controllers.blog
def run():
write_permapages()
def write_permapages():
"Write blog posts to their permalink locations"
site_re = re.compile(zf.config.site.url, re.IGNORECASE)
num_posts = len(blog.posts)
for i, post in enumerate(blog.pos... | 28.263158 | 83 | 0.587523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.261639 |
edb1f4bb4d10e992c753da4af6fcdd517e93ba5c | 132 | py | Python | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 2 | 2020-05-14T00:29:38.000Z | 2022-03-08T23:28:02.000Z | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 1 | 2022-03-02T11:26:37.000Z | 2022-03-02T11:26:37.000Z | fundamentos-de-programacao/lista-15-05-19/Q1-RaizQuadrada.py | kbcvcbk/cesar-school | b857ac651175bd08551303a7e82d16c4a9f621d8 | [
"MIT"
] | 2 | 2020-11-03T09:36:27.000Z | 2022-03-08T23:28:14.000Z | n = float(input("Digite o número: "))
b=2
dif=3.14
while dif >= 0.0001:
p=(b+(n/b))/2
print("p é",p)
b=p
pq = p*p
dif=abs(n-pq) | 14.666667 | 37 | 0.55303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.19403 |
edb20a4ffd43e59eea413125e997615b1fde62fd | 2,045 | py | Python | app.py | ZAD4YTV/extract-wifi-passwords-from-windows | 89c8bec9861876e82fb5262540f53434b3f5fe1f | [
"MIT"
] | 2 | 2020-12-22T06:05:06.000Z | 2020-12-22T06:05:09.000Z | app.py | ZAD4YTV/extract-wifi-passwords-from-windows | 89c8bec9861876e82fb5262540f53434b3f5fe1f | [
"MIT"
] | null | null | null | app.py | ZAD4YTV/extract-wifi-passwords-from-windows | 89c8bec9861876e82fb5262540f53434b3f5fe1f | [
"MIT"
] | null | null | null | # Requirements
import subprocess
# Console print initial
print('######################################################################')
print('')
print('######## ## ## ######## ### ######## ## ## ##')
print('## ## ## ## ## ## ## ## ## ## ## ## ##')
print('## ... | 41.734694 | 166 | 0.446944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,441 | 0.704645 |
edb23193c334891acc883361c3d8e788e913535e | 633 | py | Python | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | src/main/resources/opennlp.models/download_models.py | sully90/dp-search-service | efc6a94dad1c5b3fc898da9ced1606aa345c7ecd | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
def download_model(model_name):
'''
Downloads a given model binary
'''
print "Downloading ", model_name
cmd = "wget http://opennlp.sourceforge.net/models-1.5/%s" % model_name
os.system(cmd)
if __name__ == "__main__":
model_names = ["en-ner-dates.bin", "en-ner-l... | 30.142857 | 102 | 0.630332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 314 | 0.496051 |
edb2a9429239ad3822ac8af03b000d236f86beda | 31,643 | py | Python | python/nsc/nsc_instcal_sexdaophot.py | dnidever/noaosourcecatalog | bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb | [
"MIT"
] | 4 | 2017-05-23T20:57:33.000Z | 2018-01-30T22:51:42.000Z | python/nsc/nsc_instcal_sexdaophot.py | dnidever/noaosourcecatalog | bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb | [
"MIT"
] | null | null | null | python/nsc/nsc_instcal_sexdaophot.py | dnidever/noaosourcecatalog | bdd22e53da3ebb6e6c79d8cbe9e375562b09cfeb | [
"MIT"
] | 1 | 2021-07-15T03:06:22.000Z | 2021-07-15T03:06:22.000Z | #!/usr/bin/env python
#
# NSC_INSTCAL_SEXDAOPHOT.PY -- Run SExtractor and DAOPHOT on an exposure
#
from __future__ import print_function
__authors__ = 'David Nidever <dnidever@noao.edu>'
__version__ = '20180819' # yyyymmdd
import os
import sys
import numpy as np
import warnings
from astropy.io import fits
from astr... | 38.078219 | 152 | 0.591821 | 28,667 | 0.905951 | 0 | 0 | 7,058 | 0.223051 | 0 | 0 | 8,702 | 0.275006 |
edb611f60f037176678c93c92c782533ab009fd9 | 165 | py | Python | analysis/const.py | AgenttiX/pap328-project | 0bb2b9dc3a63bcae5d6ae47aa48edb655763157e | [
"MIT"
] | null | null | null | analysis/const.py | AgenttiX/pap328-project | 0bb2b9dc3a63bcae5d6ae47aa48edb655763157e | [
"MIT"
] | null | null | null | analysis/const.py | AgenttiX/pap328-project | 0bb2b9dc3a63bcae5d6ae47aa48edb655763157e | [
"MIT"
] | null | null | null | import math
# Constants
ELEMENTARY_CHARGE = 1.602176634e-19 # Coulombs
# Conversions
ATM_TO_PA = 101325
MBAR_TO_PA = 100
STD_TO_FWHM = 2*math.sqrt(2*math.log(2))
| 16.5 | 47 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.206061 |
edb648c98f0f42744495f4d789c1cca05e6c4704 | 486 | py | Python | dhnx/helpers.py | rbv83/DHNx | e236d720c7ec3c0f400648b96141454557d35476 | [
"MIT"
] | 14 | 2020-06-25T14:03:21.000Z | 2021-11-25T12:53:08.000Z | dhnx/helpers.py | rbv83/DHNx | e236d720c7ec3c0f400648b96141454557d35476 | [
"MIT"
] | 51 | 2020-02-19T14:42:38.000Z | 2022-03-23T08:30:31.000Z | dhnx/helpers.py | oemof-heat/district_heating_simulation | edb5c9be17f74d7f200c1eb6a17000a26633bdc3 | [
"MIT"
] | 3 | 2020-10-23T15:54:11.000Z | 2022-02-28T12:53:09.000Z | import addict
class Dict(addict.Dict):
def __init__(self, *args, **kwargs):
super().__init__(self, *args, **kwargs)
def __repr__(self):
overview = ['* ' + str(key) for key, value in self.items()]
return '\n'.join(overview)
def sum_ignore_none(*items):
not_none = [value for value... | 21.130435 | 67 | 0.62963 | 241 | 0.495885 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.016461 |
edb79f71230ac5a199560bfdb6dae152e1a5031d | 1,007 | py | Python | angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | null | null | null | angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | null | null | null | angr-doc/examples/defcon2017quals_crackme2000/enlightenment/classify.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | null | null | null | import subprocess
from glob import glob
import re
from collections import defaultdict
import shutil
import os
import hashlib
files = glob('enlightenment_dist/*')
libraries = defaultdict(list)
ldds = {}
for f in files:
try:
ldd_out = subprocess.check_output(['ldd', f])
except subprocess.CalledProcessEr... | 24.560976 | 203 | 0.60576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.245283 |
edb8c9e216e31864005a5218bc360deec4e30ce5 | 270 | py | Python | update-readme.py | jutge-org/j3-logos | f47dfc84e8a2a9f987fdb22c432b6a52893fe294 | [
"Apache-2.0"
] | 1 | 2020-12-29T12:19:23.000Z | 2020-12-29T12:19:23.000Z | update-readme.py | jutge-org/j3-logos | f47dfc84e8a2a9f987fdb22c432b6a52893fe294 | [
"Apache-2.0"
] | null | null | null | update-readme.py | jutge-org/j3-logos | f47dfc84e8a2a9f987fdb22c432b6a52893fe294 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import glob
text = '''
# Logos for Jutge.org
'''
for png in sorted(glob.glob('*.png')):
text += '''- %s\n\n <a href='%s'><img src='%s' height='200'></a>\n\n''' % (png, png, png)
with open('README.md', 'w') as file:
file.write(text)
| 16.875 | 94 | 0.548148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.507407 |
edb9060cb2e91122e01e0d89597323dc92dbbaa6 | 14,950 | py | Python | adpkd_segmentation/datasets/datasets.py | kurtteichman/adpkd-segmentation-pytorch | 20faedfd77aaa26cadfbe636092db3da0f257940 | [
"MIT"
] | 5 | 2021-07-09T16:10:56.000Z | 2022-03-23T10:22:16.000Z | adpkd_segmentation/datasets/datasets.py | kurtteichman/adpkd-segmentation-pytorch | 20faedfd77aaa26cadfbe636092db3da0f257940 | [
"MIT"
] | 3 | 2021-06-23T02:47:42.000Z | 2022-02-04T22:43:27.000Z | adpkd_segmentation/datasets/datasets.py | aksg87/adpkd-segmentation-pytorch | 9a22e06ab905bca456c978f3b40ea427499ccf7d | [
"MIT"
] | 2 | 2021-06-05T22:19:29.000Z | 2022-03-13T20:50:13.000Z | import json
import numpy as np
import torch
from pathlib import Path
import pandas as pd
import pydicom
from ast import literal_eval
from adpkd_segmentation.data.data_utils import (
get_labeled,
get_y_Path,
int16_to_uint8,
make_dcmdicts,
path_2dcm_int16,
path_2label,
TKV_update,
)
from adp... | 30.572597 | 79 | 0.596321 | 14,454 | 0.966823 | 0 | 0 | 0 | 0 | 0 | 0 | 1,782 | 0.119197 |
edb92c5fd296cb3e07169dc79510c1f1c49d8cee | 2,286 | py | Python | sktime/utils/validation.py | TonyBagnall/sktime | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | 2 | 2019-08-19T13:59:21.000Z | 2020-03-02T20:32:31.000Z | sktime/utils/validation.py | TonyBagnall/boss_fork | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | null | null | null | sktime/utils/validation.py | TonyBagnall/boss_fork | 837a77026be3e53511c3d6139ddad14a39351bf5 | [
"BSD-3-Clause"
] | 2 | 2019-08-24T12:06:15.000Z | 2020-01-09T07:32:40.000Z | import numpy as np
def check_ts_X_y(X, y):
"""Placeholder function for input validation.
"""
# TODO: add proper checks (e.g. check if input stuff is pandas full of objects)
# currently it checks neither the data nor the datatype
# return check_X_y(X, y, dtype=None, ensure_2d=False)
return X, y
... | 38.1 | 112 | 0.645232 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,484 | 0.649169 |
edb94af127b7b6cb84e9109091abb7f212cbe179 | 947 | py | Python | main.py | Arcxdd/Kali-Docker | a59bfdc24dde3e8105762c6e44bd5a6115afd44d | [
"Unlicense"
] | null | null | null | main.py | Arcxdd/Kali-Docker | a59bfdc24dde3e8105762c6e44bd5a6115afd44d | [
"Unlicense"
] | null | null | null | main.py | Arcxdd/Kali-Docker | a59bfdc24dde3e8105762c6e44bd5a6115afd44d | [
"Unlicense"
] | null | null | null | import os
import sys
from halo import Halo
spinner = Halo(text='Please wait...', spinner='dots')
def main():
"""Main program"""
portsToExpose = str(input('Ports to expose [Default: 22 for SSH]: '))
print("Installing...\n")
spinner.start()
os.system("docker pull kalilinux/kali-ro... | 22.547619 | 107 | 0.549102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.397043 |
edb94d210e20eefd62f4198317637767af846a19 | 324 | py | Python | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | 1 | 2018-11-21T02:14:32.000Z | 2018-11-21T02:14:32.000Z | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | null | null | null | mysite/migrations/0003_remove_blog_image.py | roku104/mysite | 774c55751ac6f29c1fb07c4da72a5894c5cbaf19 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.1 on 2018-09-26 15:25
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('mysite', '0002_auto_20180912_1246'),
]
operations = [
migrations.RemoveField(
model_name='blog',
name='image',
),
... | 18 | 47 | 0.58642 | 239 | 0.737654 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.287037 |
edb9a342dd84b94be341c6a7b6d981951da4877d | 1,098 | py | Python | .vscode/compilers/pycompile.py | croghostrider/Loxone-Recovery | cb47a6fd8a685e5995f11e61f3a6e0126fb19828 | [
"MIT"
] | 1 | 2022-03-20T22:27:45.000Z | 2022-03-20T22:27:45.000Z | .vscode/compilers/pycompile.py | croghostrider/Loxone-Recovery | cb47a6fd8a685e5995f11e61f3a6e0126fb19828 | [
"MIT"
] | null | null | null | .vscode/compilers/pycompile.py | croghostrider/Loxone-Recovery | cb47a6fd8a685e5995f11e61f3a6e0126fb19828 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import shutil
import subprocess
import sys
# ARGS
fileDirname = sys.argv[1]
fileBasename = sys.argv[2]
workspaceFolder = sys.argv[3]
# TRANSFORMATION
relativeFileDirname = fileDirname[len(workspaceFolder)+1:]
fileBasenameNoExtension = "".join(fileBasename.rsplit(".py", 1))
distpath =... | 23.361702 | 71 | 0.652095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.172131 |
edba4dad99f149168f42524be29efbe1763f78a1 | 1,430 | py | Python | white-head-mountain/pcdn/mainpcdn.py | jiangwenfan/pythonScripts | c9004944f162af575e111522f98d4de4f59885e6 | [
"Apache-2.0"
] | null | null | null | white-head-mountain/pcdn/mainpcdn.py | jiangwenfan/pythonScripts | c9004944f162af575e111522f98d4de4f59885e6 | [
"Apache-2.0"
] | null | null | null | white-head-mountain/pcdn/mainpcdn.py | jiangwenfan/pythonScripts | c9004944f162af575e111522f98d4de4f59885e6 | [
"Apache-2.0"
] | null | null | null | from hostNameHandle import hostNameHandle
from gethostList import get_ips
from getwechat import getProxyInfo
from gethostNameIp import getIps
from getFrequency import getFrequency
from getDownloadAccount import getInfo
from sendMessage import sendMessage
hostName=input("主机名:")
type = str(input("1 \"频繁掉线\" or ... | 25.087719 | 53 | 0.723776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.310411 |
edbce3d11b39d90338cc61b5efce850628014657 | 2,041 | py | Python | automol/reac/_instab.py | snelliott/automol | d1f7d51c1bbe06ba7569ea7c75304618cebee198 | [
"Apache-2.0"
] | 2 | 2021-03-01T14:23:25.000Z | 2021-11-28T19:17:08.000Z | automol/reac/_instab.py | snelliott/automol | d1f7d51c1bbe06ba7569ea7c75304618cebee198 | [
"Apache-2.0"
] | 1 | 2021-02-12T21:02:22.000Z | 2021-02-12T21:35:33.000Z | automol/reac/_instab.py | snelliott/automol | d1f7d51c1bbe06ba7569ea7c75304618cebee198 | [
"Apache-2.0"
] | 6 | 2020-12-12T18:41:13.000Z | 2021-11-11T20:12:14.000Z | """
Build unstable products
"""
from phydat import instab_fgrps
import automol.graph
from automol.reac._util import rxn_objs_from_zmatrix
import automol.geom
import automol.inchi
import automol.zmat
from automol.graph import radical_dissociation_prods
from automol.graph import radical_group_dct
def instability_prod... | 30.462687 | 79 | 0.654581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 491 | 0.240568 |
edbd959971b7596053c1f7e7cd04ec63a9bfa159 | 74,910 | py | Python | tests/examples/minlplib/portfol_classical050_1.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/portfol_classical050_1.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/portfol_classical050_1.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # MINLP written by GAMS Convert at 04/21/18 13:53:48
#
# Equation counts
# Total E G L N X C B
# 104 52 0 52 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc ... | 82.409241 | 120 | 0.547764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 699 | 0.009331 |
edbecb45eddc848fe9a6250e6a9425c696aee623 | 32 | py | Python | vgc/DinosaursVsAirplanes/__main__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | vgc/DinosaursVsAirplanes/__main__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | vgc/DinosaursVsAirplanes/__main__.py | reedessick/video-game-camp | 09a324279c5ea9de87080f122fe27e1ef83d5373 | [
"MIT"
] | null | null | null | from . import game
game.main()
| 8 | 18 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
edbecc8726126a9bb26d9234cf7d31303aa4e928 | 6,012 | py | Python | tests/test_select.py | vail130/norm | 01a16d6c73c2c6fff92430ca2ca745b295de9a3a | [
"MIT"
] | null | null | null | tests/test_select.py | vail130/norm | 01a16d6c73c2c6fff92430ca2ca745b295de9a3a | [
"MIT"
] | 1 | 2016-02-10T00:43:15.000Z | 2016-02-10T01:14:37.000Z | tests/test_select.py | vail130/norm | 01a16d6c73c2c6fff92430ca2ca745b295de9a3a | [
"MIT"
] | 1 | 2021-03-12T23:21:02.000Z | 2021-03-12T23:21:02.000Z | from __future__ import absolute_import, unicode_literals
import unittest
from mason import Param, ANY, SELECT, COUNT, SUM, AND, OR, Table, NUMERIC, DATE, COALESCE, CASE
class TheSelectClass(unittest.TestCase):
def test_returns_string_for_select_query(self):
purchases = Table('purchases')
users =... | 39.552632 | 116 | 0.585329 | 5,838 | 0.971058 | 0 | 0 | 0 | 0 | 0 | 0 | 1,752 | 0.291417 |
edbf18d39a72d2ddd9cc6e7041f08d4b4cebe521 | 302 | py | Python | DesignPatterns/05_iterator/1_no_iterator/department_collection.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | DesignPatterns/05_iterator/1_no_iterator/department_collection.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | DesignPatterns/05_iterator/1_no_iterator/department_collection.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | class Departments(object):
_departments = []
def add_department(self, department):
self._departments.append(department)
def get_department(self, i):
return self._departments[i]
@property
def departments_range(self):
return (0, len(self._departments) - 1)
| 23.230769 | 46 | 0.665563 | 301 | 0.996689 | 0 | 0 | 89 | 0.294702 | 0 | 0 | 0 | 0 |
edc2a9f255a5bcdbe6de9a345b01330bea716cf9 | 37,250 | py | Python | gridwxcomp/calc_bias_ratios.py | DRI-WSWUP/grid-et-bias | 91998b5827a8069563394b797b253e33c546765f | [
"Apache-2.0"
] | 13 | 2019-04-02T20:21:34.000Z | 2022-01-26T22:45:04.000Z | gridwxcomp/calc_bias_ratios.py | DRI-WSWUP/grid-et-bias | 91998b5827a8069563394b797b253e33c546765f | [
"Apache-2.0"
] | 20 | 2019-02-27T22:40:13.000Z | 2021-05-28T03:06:48.000Z | gridwxcomp/calc_bias_ratios.py | DRI-WSWUP/gridwxcomp | 91998b5827a8069563394b797b253e33c546765f | [
"Apache-2.0"
] | 6 | 2019-04-02T17:28:31.000Z | 2022-01-29T14:07:25.000Z | # -*- coding: utf-8 -*-
"""
Calculate monthly bias ratios of variables from climate station
to overlapping gridMET (or other gridded dataset) cells.
Input file for this module must first be created by running
:mod:`gridwxcomp.prep_input` followed by :mod:`gridwxcomp.download_gridmet_opendap`.
Attributes:
GRID... | 46.330846 | 96 | 0.61694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20,675 | 0.555034 |
edc2c76812ee6c9585f9c137bdb157a3d16545e9 | 5,073 | py | Python | fhirclient/models/attachment.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | fhirclient/models/attachment.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | fhirclient/models/attachment.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.0-a53ec6ee1b (http://hl7.org/fhir/StructureDefinition/Attachment) on 2019-01-22.
# 2019, SMART Health IT.
from . import element
class Attachment(element.Element):
"""
C
o
n
t
e
n
t
i
n
a
f
... | 12.464373 | 107 | 0.275774 | 4,746 | 0.935541 | 0 | 0 | 0 | 0 | 0 | 0 | 3,858 | 0.760497 |
edc4f04d08129c6528ed7f0c20d812230e0c3895 | 1,843 | py | Python | wiiload/upload.py | fossabot/async-wiiload | a511ffe5646c2bd101a9e0ae064f6b3d35497fd3 | [
"Apache-2.0"
] | null | null | null | wiiload/upload.py | fossabot/async-wiiload | a511ffe5646c2bd101a9e0ae064f6b3d35497fd3 | [
"Apache-2.0"
] | 1 | 2020-11-18T18:38:49.000Z | 2020-11-18T18:38:49.000Z | wiiload/upload.py | fossabot/async-wiiload | a511ffe5646c2bd101a9e0ae064f6b3d35497fd3 | [
"Apache-2.0"
] | 1 | 2020-11-18T18:38:03.000Z | 2020-11-18T18:38:03.000Z | import asyncio
import os
import struct
import zlib
from os import PathLike
from typing import List
WIILOAD_VERSION_MAJOR = 0
WIILOAD_VERSION_MINOR = 5
async def upload_bytes(dol: bytes, argv: List[str], host: str, port: int = 4299):
"""
Uploads a file it to a Wii.
:param dol: The bytes of a file to uploa... | 31.237288 | 91 | 0.669018 | 0 | 0 | 0 | 0 | 0 | 0 | 1,685 | 0.91427 | 791 | 0.429192 |
edc6534f0db68594afcf99358c2a9b3928d7a532 | 1,010 | py | Python | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | 81.py | brianfl/project-euler | 9f83a3c2da04fd0801a4a575081add665edccd5f | [
"MIT"
] | null | null | null | with open('matrix.txt', 'r') as m:
n = m.read().split('\n')
matrix = [i.split(',') for i in n]
del matrix[-1]
for index1, value1 in enumerate(matrix):
for index2, value2 in enumerate(value1):
matrix[index1][index2] = int(value2)
row_pos = len(matrix)-1
ind_pos = len(matrix[row_pos])-1
while r... | 24.047619 | 71 | 0.582178 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.182178 |
edc7c2097af55e9aaf7fe9d4a5593d76f55f2e37 | 899 | py | Python | WDCData/StockPankouDay.py | wangdecheng/QAStrategy | d970242ea61cff2f1a6f69545dc7f65e8efd1672 | [
"MIT"
] | null | null | null | WDCData/StockPankouDay.py | wangdecheng/QAStrategy | d970242ea61cff2f1a6f69545dc7f65e8efd1672 | [
"MIT"
] | null | null | null | WDCData/StockPankouDay.py | wangdecheng/QAStrategy | d970242ea61cff2f1a6f69545dc7f65e8efd1672 | [
"MIT"
] | null | null | null | import pandas as pd
from QUANTAXIS.QAUtil import (
DATABASE
)
_table = DATABASE.stock_pankou_day
date = '2021-11-30' # 选最后一天，因为是批量插入，有值就证明存在
def exists(code, field='turn'):
data = _table.find_one({'code':code,'date':date})
if data is None:
return False
if data.get(field) is None:
retu... | 24.972222 | 70 | 0.648498 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 218 | 0.231668 |
edc8f195103066572e1257568eab242e02e23b02 | 1,472 | py | Python | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | findance/entity/migrations/0001_initial.py | mccartnm/findance | 5d8b980cbe3f0b3dbe5798a75f58b5749088331f | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-04-26 15:52
from django.db import migrations, models
import django.db.models.deletion
import findance.abstract
class Migration(migrations.Migration):
initial = True
dependencies = [
('assets', '0001_initial'),
]
operations = [
migrations.CreateMode... | 35.047619 | 158 | 0.559103 | 1,323 | 0.898777 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.200408 |
edc957ed816ee1c41b0420f5364024791ce07016 | 576 | py | Python | Registradora/Caixa registradora.py | gabrielsoaresg/Projetos-Python | 7f05a000c30a03fb9fbdb0f493e0a996ef7258f1 | [
"MIT"
] | null | null | null | Registradora/Caixa registradora.py | gabrielsoaresg/Projetos-Python | 7f05a000c30a03fb9fbdb0f493e0a996ef7258f1 | [
"MIT"
] | null | null | null | Registradora/Caixa registradora.py | gabrielsoaresg/Projetos-Python | 7f05a000c30a03fb9fbdb0f493e0a996ef7258f1 | [
"MIT"
] | null | null | null | print("\033[1m=-=" * 15)
print("\033[1;32mLojas Tabajara\033[m". center(51))
print("=-=\033[m" * 15)
cont = 1
somaP = 0
while True:
p = float(input(f"Produto {cont}: R$ "))
cont += 1
somaP += p
if p == 0:
break
print(f"\033[1;32mTotal: R${somaP:.2f}\033[m")
pagamento = float(input("\033[1mDinhei... | 27.428571 | 58 | 0.597222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.413495 |
edcad0e725dcaee58a1b72be7bb3b88e8f32af90 | 3,196 | py | Python | webserver.py | Ductapemaster/raspi_datalogger | 7c5b54a6a7617fef816aa1410069fb755f167d13 | [
"MIT"
] | null | null | null | webserver.py | Ductapemaster/raspi_datalogger | 7c5b54a6a7617fef816aa1410069fb755f167d13 | [
"MIT"
] | null | null | null | webserver.py | Ductapemaster/raspi_datalogger | 7c5b54a6a7617fef816aa1410069fb755f167d13 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request
from flask_bootstrap import Bootstrap
import json
from datetime import datetime
from influxdb import InfluxDBClient
import secrets
import settings
influx_client = InfluxDBClient(secrets.influx_database_server,
secrets.influx_database_port... | 31.333333 | 122 | 0.431164 | 0 | 0 | 0 | 0 | 2,562 | 0.801627 | 0 | 0 | 625 | 0.195557 |