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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
aab5dd1420b09051fc9fe578384a7add1adbe417 | 1,932 | py | Python | hoods/models.py | badruu/neighborhood | 85d30f7451f921c533dc4463aad76ed2d39f8023 | [
"MIT"
] | null | null | null | hoods/models.py | badruu/neighborhood | 85d30f7451f921c533dc4463aad76ed2d39f8023 | [
"MIT"
] | 6 | 2021-03-19T01:10:18.000Z | 2022-03-11T23:49:18.000Z | hoods/models.py | badruu/neighborhood | 85d30f7451f921c533dc4463aad76ed2d39f8023 | [
"MIT"
] | null | null | null | from django.db import models
import datetime
from django.utils import timezone
from django.contrib.auth.models import User
from django.urls import reverse
from django.core.validators import MaxValueValidator, MinValueValidator | 31.16129 | 80 | 0.699793 |
aab613077debdcab1c40bda4b0c2298ea8cef417 | 5,710 | py | Python | src/clf_comparison.py | UBC-MDS/DSCI522_group17 | 7be4df0d09258a8b021f61e0d7a35022f49a2fdd | [
"MIT"
] | 1 | 2020-12-07T19:52:28.000Z | 2020-12-07T19:52:28.000Z | src/clf_comparison.py | UBC-MDS/DSCI522_group17 | 7be4df0d09258a8b021f61e0d7a35022f49a2fdd | [
"MIT"
] | 14 | 2020-11-18T10:59:07.000Z | 2020-12-14T23:49:56.000Z | src/clf_comparison.py | UBC-MDS/DSCI522_group17 | 7be4df0d09258a8b021f61e0d7a35022f49a2fdd | [
"MIT"
] | 3 | 2020-11-18T10:04:37.000Z | 2020-11-20T08:31:14.000Z | # Author: Pan Fan, Chun Chieh Chang, Sakshi Jain
# Date: 2020/11/27
"""Compare the performance of different classifier and train the best model given cross_validate results .
Usage: src/clf_comparison.py <input_file> <input_file1> <output_file> <output_file1>
Options:
<input_file> Path (including filename and fil... | 37.565789 | 106 | 0.648511 |
aab7ca71f6747c996ae533f8dc5d23355cbe2498 | 1,294 | py | Python | hebbmodel/fc.py | aimir-lab/hebbian-learning-cnn | ddaf3a66c1c374960dc680f671e64f3f20387590 | [
"MIT"
] | 18 | 2019-09-13T10:19:11.000Z | 2021-11-13T22:05:06.000Z | hebbmodel/fc.py | GabrieleLagani/HebbianLearningThesis | 0f98f7a3e380e55c9fca6340f4fb0cc5f24917d8 | [
"MIT"
] | null | null | null | hebbmodel/fc.py | GabrieleLagani/HebbianLearningThesis | 0f98f7a3e380e55c9fca6340f4fb0cc5f24917d8 | [
"MIT"
] | 5 | 2019-11-24T08:16:14.000Z | 2021-02-15T11:41:18.000Z | import torch.nn as nn
import params as P
import hebbmodel.hebb as H
| 30.093023 | 117 | 0.718702 |
aab8ee0d00657fec39263780f21c6f66db24843f | 275 | py | Python | pure_sklearn/feature_extraction/__init__.py | ashetty1-m/pure-predict | 05a0f105fb43532af1a0713dc34b26574d51b563 | [
"Apache-2.0"
] | 62 | 2020-02-14T15:54:12.000Z | 2021-11-23T14:12:32.000Z | pure_sklearn/feature_extraction/__init__.py | ashetty1-m/pure-predict | 05a0f105fb43532af1a0713dc34b26574d51b563 | [
"Apache-2.0"
] | 9 | 2020-04-05T16:19:33.000Z | 2022-02-08T14:54:56.000Z | pure_sklearn/feature_extraction/__init__.py | ashetty1-m/pure-predict | 05a0f105fb43532af1a0713dc34b26574d51b563 | [
"Apache-2.0"
] | 5 | 2021-02-26T14:04:17.000Z | 2022-02-10T23:06:16.000Z | """
The :mod:`pure_sklearn.feature_extraction` module deals with feature extraction
from raw data. It currently includes methods to extract features from text.
"""
from ._dict_vectorizer import DictVectorizerPure
from . import text
__all__ = ["DictVectorizerPure", "text"]
| 27.5 | 79 | 0.789091 |
aab991f211f7427de19a3a6c9a2b406d03220528 | 3,887 | py | Python | plugin.video.mrstealth.serialu.net/uppod.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | plugin.video.mrstealth.serialu.net/uppod.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | plugin.video.mrstealth.serialu.net/uppod.py | mrstealth/kodi-isengard | 2f37ba5320c1618fbe635f5683e7329a63195c16 | [
"MIT"
] | null | null | null | #-------------------------------------------------------------------------------
# Uppod decoder
#-------------------------------------------------------------------------------
import urllib2
import cookielib
| 44.170455 | 306 | 0.516337 |
aabb5248f82bb100273f378ab5c8a89f7d30d6fb | 11,796 | py | Python | Eir/DTMC/spatialModel/randomMovement/randMoveSIRDV.py | mjacob1002/Eir | ab9cb4e353796ba3ab79b1673adc251d434717cf | [
"MIT"
] | 35 | 2021-06-11T02:33:05.000Z | 2021-12-11T06:24:17.000Z | Eir/DTMC/spatialModel/randomMovement/randMoveSIRDV.py | mjacob1002/Eir | ab9cb4e353796ba3ab79b1673adc251d434717cf | [
"MIT"
] | 2 | 2021-05-18T09:24:37.000Z | 2021-06-02T13:27:41.000Z | Eir/DTMC/spatialModel/randomMovement/randMoveSIRDV.py | mjacob1002/Eir | ab9cb4e353796ba3ab79b1673adc251d434717cf | [
"MIT"
] | 8 | 2021-07-03T12:15:30.000Z | 2021-10-31T20:20:29.000Z | import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
from Eir.DTMC.spatialModel.randomMovement.randMoveSIRD import RandMoveSIRD
from Eir.utility import Person1 as Person
| 44.014925 | 172 | 0.622753 |
aabc2c45a2f070f9b91c1f8410ef7d7691faf98d | 183 | py | Python | localtalk/application.py | mattcollie/LocalTalk | d17765243cd23d09024544a763a18226be16c50c | [
"MIT"
] | null | null | null | localtalk/application.py | mattcollie/LocalTalk | d17765243cd23d09024544a763a18226be16c50c | [
"MIT"
] | null | null | null | localtalk/application.py | mattcollie/LocalTalk | d17765243cd23d09024544a763a18226be16c50c | [
"MIT"
] | null | null | null | from localtalk import create_app, create_server
app = create_app()
server = create_server()
# server.start()
if __name__ == '__main__':
app.run(debug=True, host='localhost')
| 15.25 | 47 | 0.715847 |
aabc5d5e01aac743c814d779d94ae7e8069ace0d | 3,087 | py | Python | generate_numpy_data.py | kamleshpawar17/FeTS2021 | 95035ee500721e1c3f9c4b7aed3c105f0d499274 | [
"MIT"
] | 1 | 2022-02-22T00:38:33.000Z | 2022-02-22T00:38:33.000Z | generate_numpy_data.py | kamleshpawar17/FeTS2021 | 95035ee500721e1c3f9c4b7aed3c105f0d499274 | [
"MIT"
] | null | null | null | generate_numpy_data.py | kamleshpawar17/FeTS2021 | 95035ee500721e1c3f9c4b7aed3c105f0d499274 | [
"MIT"
] | null | null | null | import glob
import os
import numpy as np
import nibabel as nb
import argparse
def ParseData(list_data):
'''
Creates a list of all the slices
'''
data_instance = []
for dir_name in list_data:
fname = glob.glob(os.path.join(dir_name, '*seg.nii.gz'))
f = nb.load(fname[0])
img ... | 34.3 | 103 | 0.597344 |
aabc8bf96be40a3c1147bd07e49acc07038b9620 | 220 | py | Python | podcast/tests/urls.py | richardcornish/django-applepodcast | 50732acfbe1ca258e5afb44c117a6ac5fa0c1219 | [
"BSD-3-Clause"
] | 7 | 2017-11-18T13:02:13.000Z | 2021-07-31T21:55:24.000Z | podcast/tests/urls.py | dmitriydef/django-applepodcast | 50732acfbe1ca258e5afb44c117a6ac5fa0c1219 | [
"BSD-3-Clause"
] | 24 | 2017-07-17T21:53:58.000Z | 2018-02-16T07:13:39.000Z | podcast/tests/urls.py | dmitriydef/django-applepodcast | 50732acfbe1ca258e5afb44c117a6ac5fa0c1219 | [
"BSD-3-Clause"
] | 4 | 2017-09-21T12:43:54.000Z | 2020-07-19T21:56:30.000Z | try:
from django.urls import include, re_path
except ImportError:
from django.conf.urls import include, url as re_path
urlpatterns = [
re_path(r'^podcast/', include('podcast.urls', namespace='podcast')),
]
| 22 | 72 | 0.713636 |
aabcc6bd93dd565fe8912f5540d060fac3483c64 | 2,246 | py | Python | odoo_actions/odoo_client/common.py | catalyst-cloud/adjutant-odoo | 6d1e473710e1757b92b4344d65d5bd106677fe36 | [
"Apache-2.0"
] | 1 | 2020-05-01T18:28:39.000Z | 2020-05-01T18:28:39.000Z | odoo_actions/odoo_client/common.py | catalyst-cloud/adjutant-odoo | 6d1e473710e1757b92b4344d65d5bd106677fe36 | [
"Apache-2.0"
] | null | null | null | odoo_actions/odoo_client/common.py | catalyst-cloud/adjutant-odoo | 6d1e473710e1757b92b4344d65d5bd106677fe36 | [
"Apache-2.0"
] | 2 | 2018-09-20T05:01:34.000Z | 2020-10-17T04:31:47.000Z | from collections import Iterable
| 29.168831 | 66 | 0.580142 |
aabdff6b46e83b814599086ebf3ca4b5caeb3757 | 2,070 | py | Python | biokeypy/moduleForShowingJudges.py | zacandcheese/biokeypy | d421e8be0b407fd1df395c79ffde409ca80066e2 | [
"MIT"
] | null | null | null | biokeypy/moduleForShowingJudges.py | zacandcheese/biokeypy | d421e8be0b407fd1df395c79ffde409ca80066e2 | [
"MIT"
] | null | null | null | biokeypy/moduleForShowingJudges.py | zacandcheese/biokeypy | d421e8be0b407fd1df395c79ffde409ca80066e2 | [
"MIT"
] | null | null | null | #moduleForShowingJudges
#cmd /K "$(FULL_CURRENT_PATH)"
#cd ~/Documents/GitHub/Keyboard-Biometric-Project/Project_Tuples
#sudo python -m pip install statistics
#python analyzeData.py
"""
Author: Zachary Nowak and Matthew Nowak
Date: 3/09/2018
Program Description: This code can record the
Press Time and Flight Time of... | 27.236842 | 114 | 0.746377 |
aabebbb877a1c20f697d7ae81aa297513ca02e1b | 55 | py | Python | dcstats/__init__.py | aplested/DC_Pyps | da33fc7d0e7365044e368488d1c7cbbae7473cc7 | [
"MIT"
] | 1 | 2021-03-25T18:09:25.000Z | 2021-03-25T18:09:25.000Z | dcstats/__init__.py | aplested/DC_Pyps | da33fc7d0e7365044e368488d1c7cbbae7473cc7 | [
"MIT"
] | null | null | null | dcstats/__init__.py | aplested/DC_Pyps | da33fc7d0e7365044e368488d1c7cbbae7473cc7 | [
"MIT"
] | null | null | null | from dcstats import *
from _version import __version__
| 18.333333 | 32 | 0.836364 |
aabf2126b9910565d37c2a5e085fe433495cd4f3 | 1,081 | py | Python | 206_reverse_linked_list.py | wasim92007/leetcode | 6f5add68ec35aec445b32668129990c66549c584 | [
"MIT"
] | null | null | null | 206_reverse_linked_list.py | wasim92007/leetcode | 6f5add68ec35aec445b32668129990c66549c584 | [
"MIT"
] | null | null | null | 206_reverse_linked_list.py | wasim92007/leetcode | 6f5add68ec35aec445b32668129990c66549c584 | [
"MIT"
] | null | null | null | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
| 34.870968 | 74 | 0.513414 |
aabfd5bbe9382d35bafe6c720396d8fc59846fad | 973 | py | Python | python/test_func.py | cuihua-more/code_strudy | fd4e190b7a3640869105db4e09b5d0101bed18e9 | [
"Apache-2.0"
] | null | null | null | python/test_func.py | cuihua-more/code_strudy | fd4e190b7a3640869105db4e09b5d0101bed18e9 | [
"Apache-2.0"
] | null | null | null | python/test_func.py | cuihua-more/code_strudy | fd4e190b7a3640869105db4e09b5d0101bed18e9 | [
"Apache-2.0"
] | null | null | null | import unittest
def get_formatted_name(first, last, middle = ""):
""""""
if middle:
full_name = f"{first} {middle} {last}"
else:
full_name = f"{first} {last}"
return full_name.title()
if __name__ == "__main__": # __name____main__
unittest.main() # | 37.423077 | 84 | 0.700925 |
aac0f353687286013f76de3fe4744864c20ace98 | 2,350 | py | Python | api.py | bart02/RaspTomskBot | 331df3acd0ae1ffaadaa778130733c4749035d2b | [
"MIT"
] | null | null | null | api.py | bart02/RaspTomskBot | 331df3acd0ae1ffaadaa778130733c4749035d2b | [
"MIT"
] | 2 | 2019-04-06T12:00:53.000Z | 2020-07-03T12:49:34.000Z | api.py | bart02/RaspTomskBot | 331df3acd0ae1ffaadaa778130733c4749035d2b | [
"MIT"
] | null | null | null | import requests as r
from collections import defaultdict
| 35.606061 | 139 | 0.488936 |
aac10d4f658b5c83786e200cf1103c6f1cea1eed | 785 | py | Python | donor/models.py | noRubidium/VampirePty | 69d9d42c0c5eddc3b363270287e468064d8b3d6c | [
"MIT"
] | null | null | null | donor/models.py | noRubidium/VampirePty | 69d9d42c0c5eddc3b363270287e468064d8b3d6c | [
"MIT"
] | null | null | null | donor/models.py | noRubidium/VampirePty | 69d9d42c0c5eddc3b363270287e468064d8b3d6c | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from hospital.models import Hospital
# Create your models here.
| 39.25 | 75 | 0.742675 |
aac268001a0c60ebe8f24fe5cd1af73800034677 | 763 | py | Python | tests/e2e/example/flowapi/test_handler.py | rog-works/lambda-fw | 715b36fc2d8d0ea0388aa4ac1336dc8cd5543778 | [
"CNRI-Python"
] | null | null | null | tests/e2e/example/flowapi/test_handler.py | rog-works/lambda-fw | 715b36fc2d8d0ea0388aa4ac1336dc8cd5543778 | [
"CNRI-Python"
] | 15 | 2020-12-05T13:52:13.000Z | 2020-12-19T10:14:40.000Z | tests/e2e/example/flowapi/test_handler.py | rog-works/lambda-fw | 715b36fc2d8d0ea0388aa4ac1336dc8cd5543778 | [
"CNRI-Python"
] | null | null | null | from unittest import TestCase
from lf3py.test.helper import data_provider
from tests.helper.example.flowapi import perform_api
| 25.433333 | 64 | 0.441678 |
aac281ff0acf085ecad07a736ee96b4b5d3fb62e | 7,651 | py | Python | hard-gists/3a2a081e4f3089920fd8aecefecbe280/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/3a2a081e4f3089920fd8aecefecbe280/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/3a2a081e4f3089920fd8aecefecbe280/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | '''Trains a simple convnet on the MNIST dataset.
Does flat increment from T. Xiao "Error-Driven Incremental Learning in Deep Convolutional
Neural Network for Large-Scale Image Classification"
Starts with just 3 classes, trains for 12 epochs then
incrementally trains the rest of the classes by reusing
the trained we... | 40.268421 | 104 | 0.654947 |
aac2c6dc40769fdda9ba80e76f62c737e34017f8 | 717 | py | Python | loss_fn/hybrid_loss.py | alireza-nasiri/SoundCLR | 778a4c24b5f15f5ce563ebe71dd443d3e77eb4ef | [
"MIT"
] | 7 | 2021-03-03T18:53:59.000Z | 2022-03-03T03:15:36.000Z | loss_fn/hybrid_loss.py | alireza-nasiri/SoundCLR | 778a4c24b5f15f5ce563ebe71dd443d3e77eb4ef | [
"MIT"
] | 3 | 2021-04-12T13:05:01.000Z | 2021-06-22T02:23:03.000Z | loss_fn/hybrid_loss.py | alireza-nasiri/SoundCLR | 778a4c24b5f15f5ce563ebe71dd443d3e77eb4ef | [
"MIT"
] | 4 | 2021-03-17T02:23:59.000Z | 2021-11-23T14:08:27.000Z | import torch
import torch.nn as nn
from loss_fn import contrastive_loss
import config
| 29.875 | 80 | 0.739191 |
aac45d3626a2953afb5b3ec68ea68c1867bfdeda | 2,815 | py | Python | keystone_tempest_plugin/services/identity/clients.py | ilay09/keystone | e45049dfd46ab7d3e4c6aa48a3046f622f4a3b1e | [
"Apache-2.0"
] | null | null | null | keystone_tempest_plugin/services/identity/clients.py | ilay09/keystone | e45049dfd46ab7d3e4c6aa48a3046f622f4a3b1e | [
"Apache-2.0"
] | 1 | 2019-08-18T09:25:49.000Z | 2019-08-18T09:25:49.000Z | keystone_tempest_plugin/services/identity/clients.py | ilay09/keystone | e45049dfd46ab7d3e4c6aa48a3046f622f4a3b1e | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Red Hat, 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/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 35.632911 | 75 | 0.690941 |
aac54b5cd7377439826c8dbbf5c7d47f77639abb | 606 | py | Python | history/migrations/0007_auto_20141026_2348.py | atish3/mig-website | 1bcf4c0b93078cccab6b4a25c93c29a2b5efa4be | [
"Apache-2.0"
] | 4 | 2017-10-02T17:44:14.000Z | 2020-02-14T17:13:57.000Z | history/migrations/0007_auto_20141026_2348.py | atish3/mig-website | 1bcf4c0b93078cccab6b4a25c93c29a2b5efa4be | [
"Apache-2.0"
] | 152 | 2015-01-04T00:08:44.000Z | 2022-01-13T00:43:03.000Z | history/migrations/0007_auto_20141026_2348.py | atish3/mig-website | 1bcf4c0b93078cccab6b4a25c93c29a2b5efa4be | [
"Apache-2.0"
] | 4 | 2015-04-16T04:27:05.000Z | 2021-03-21T20:45:24.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| 30.3 | 236 | 0.630363 |
aac5f2fa729ffc2397e788cc09dace7dcaea0b65 | 1,521 | py | Python | utils/web_socket_client.py | deezusdyse/Hand-controlled-breakout | 9dbab2f7edd2d98adf9a2a2e0d910d34a3819fcf | [
"MIT"
] | 78 | 2018-05-08T19:07:31.000Z | 2021-12-30T19:06:12.000Z | utils/web_socket_client.py | deezusdyse/Hand-controlled-breakout | 9dbab2f7edd2d98adf9a2a2e0d910d34a3819fcf | [
"MIT"
] | 5 | 2018-05-05T08:41:22.000Z | 2021-06-28T12:10:20.000Z | utils/web_socket_client.py | deezusdyse/Hand-controlled-breakout | 9dbab2f7edd2d98adf9a2a2e0d910d34a3819fcf | [
"MIT"
] | 29 | 2018-05-18T15:09:15.000Z | 2022-03-13T11:00:35.000Z | ## Author: Victor Dibia
## Web socket client which is used to send socket messages to a connected server.
import websocket
import time
import json
from websocket import WebSocketException, WebSocketConnectionClosedException
import sys
#import _thread as thread
import websocket
ws = websocket.WebSocket()
retry_thresh... | 23.765625 | 92 | 0.684418 |
aac6c00a86537ccce38fe26c02205e248a7305d8 | 8,085 | py | Python | scFates/tools/pseudotime.py | LouisFaure/scFates | e925b5316c77d923514ac14572eeb738d9f5dd2c | [
"BSD-3-Clause"
] | 4 | 2021-04-27T09:17:28.000Z | 2021-12-30T12:31:22.000Z | scFates/tools/pseudotime.py | LouisFaure/scFates | e925b5316c77d923514ac14572eeb738d9f5dd2c | [
"BSD-3-Clause"
] | 4 | 2021-04-27T09:17:26.000Z | 2021-11-26T13:45:18.000Z | scFates/tools/pseudotime.py | LouisFaure/scFates | e925b5316c77d923514ac14572eeb738d9f5dd2c | [
"BSD-3-Clause"
] | null | null | null | from anndata import AnnData
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from joblib import delayed
from tqdm import tqdm
import sys
import igraph
from .utils import ProgressParallel
from .. import logging as logg
from .. import settings
def pseudotime(adata: AnnData, n_jobs: int = 1, ... | 31.830709 | 119 | 0.533952 |
aac7fccb1c9445a4ec71826fa59e6dfe79f78dc7 | 6,786 | py | Python | libai/data/samplers/samplers.py | Oneflow-Inc/libai | e473bd3962f07b1e37232d2be39c8257df0ec0f3 | [
"Apache-2.0"
] | 55 | 2021-12-10T08:47:06.000Z | 2022-03-28T09:02:15.000Z | libai/data/samplers/samplers.py | Oneflow-Inc/libai | e473bd3962f07b1e37232d2be39c8257df0ec0f3 | [
"Apache-2.0"
] | 106 | 2021-11-03T05:16:45.000Z | 2022-03-31T06:16:23.000Z | libai/data/samplers/samplers.py | Oneflow-Inc/libai | e473bd3962f07b1e37232d2be39c8257df0ec0f3 | [
"Apache-2.0"
] | 13 | 2021-12-29T08:12:08.000Z | 2022-03-28T06:59:45.000Z | # coding=utf-8
# Copyright 2021 The OneFlow 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 require... | 36.483871 | 99 | 0.645299 |
aaca2df0baf423c25bdc23220c495efb4199a83e | 1,198 | py | Python | nipype/interfaces/niftyseg/tests/test_lesions.py | mfalkiewicz/nipype | 775e21b78fb1ffa2ff9cb12e6f052868bd44d052 | [
"Apache-2.0"
] | 1 | 2015-01-19T13:12:27.000Z | 2015-01-19T13:12:27.000Z | nipype/interfaces/niftyseg/tests/test_lesions.py | bpinsard/nipype | 373bdddba9f675ef153951afa368729e2d8950d2 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/niftyseg/tests/test_lesions.py | bpinsard/nipype | 373bdddba9f675ef153951afa368729e2d8950d2 | [
"Apache-2.0"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import pytest
from ....testing import example_data
from ...niftyreg import get_custom_path
from ...niftyreg.tests.test_regutils import no_nifty_tool
from .. import FillLesions
| 29.219512 | 78 | 0.687813 |
aaca67fdbf8819510b7cdbb0ad4af6d2dd57073a | 2,358 | py | Python | tests/test_services/test_run_filters/actions.py | Jumpscale/ays_jumpscale8 | 4ff4a2fb3b95de6f46ea494bd5b5a2a0fb9ecdb1 | [
"Apache-2.0"
] | 4 | 2017-06-07T08:10:06.000Z | 2017-11-10T02:20:38.000Z | tests/test_services/test_run_filters/actions.py | Jumpscale/ays9 | 63bd414ff06372ba885c55eec528f427e63bcbe1 | [
"Apache-2.0"
] | 242 | 2017-05-18T10:51:48.000Z | 2019-09-18T15:09:47.000Z | tests/test_services/test_run_filters/actions.py | Jumpscale/ays_jumpscale8 | 4ff4a2fb3b95de6f46ea494bd5b5a2a0fb9ecdb1 | [
"Apache-2.0"
] | 5 | 2017-06-16T15:43:25.000Z | 2017-09-29T12:48:06.000Z | def init_actions_(service, args):
"""
this needs to returns an array of actions representing the depencies between actions.
Looks at ACTION_DEPS in this module for an example of what is expected
"""
# some default logic for simple actions
return {
'test': ['install']
}
de... | 39.966102 | 180 | 0.415606 |
aacab0e2817127cfdd9da58cb922f41c6e1f2756 | 1,297 | py | Python | api/test_processor_api.py | AlexRogalskiy/asma | b028b65e93b0ae4b7540d5ff70e1ff07fd92130f | [
"MIT"
] | 4 | 2020-08-12T04:00:23.000Z | 2022-02-12T13:38:44.000Z | api/test_processor_api.py | nadeembinshajahan/asma | b028b65e93b0ae4b7540d5ff70e1ff07fd92130f | [
"MIT"
] | 2 | 2022-02-12T13:38:50.000Z | 2022-02-12T13:40:09.000Z | api/test_processor_api.py | AlexRogalskiy/asma | b028b65e93b0ae4b7540d5ff70e1ff07fd92130f | [
"MIT"
] | 1 | 2022-02-12T13:38:44.000Z | 2022-02-12T13:38:44.000Z | from fastapi.testclient import TestClient
import os
import sys
sys.path.append("..")
from libs.config_engine import ConfigEngine
from api.config_keys import Config
from api.processor_api import ProcessorAPI
import pytest
config_path='/repo/config-coral.ini'
config = ConfigEngine(config_path)
app_instance = ProcessorA... | 24.471698 | 73 | 0.762529 |
aacdab9b402913a1a133e50f920b43e0617690ff | 1,353 | py | Python | setup.py | kiminh/lambda-learner | f409a2982a1fbb19e6331ced66d7342d113449d1 | [
"BSD-2-Clause"
] | 1 | 2021-01-11T18:38:12.000Z | 2021-01-11T18:38:12.000Z | setup.py | kiminh/lambda-learner | f409a2982a1fbb19e6331ced66d7342d113449d1 | [
"BSD-2-Clause"
] | null | null | null | setup.py | kiminh/lambda-learner | f409a2982a1fbb19e6331ced66d7342d113449d1 | [
"BSD-2-Clause"
] | null | null | null | from os import path
from setuptools import find_namespace_packages, setup
this_directory = path.abspath(path.dirname(__file__))
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
setup(
name='lambda-learner',
namespace_packages=['linkedin'],
version='0.0.1',
long_description... | 34.692308 | 90 | 0.632668 |
aace2561c26b084c7dd7639860b3d85239529375 | 222 | py | Python | graphiql_strawberry_debug_toolbar/serializers.py | przemub/django-graphiql-strawberry-debug-toolbar | 14882b215a63a5b73a26fd9e641ac8fe98f65eaa | [
"MIT"
] | 67 | 2018-03-18T13:06:59.000Z | 2021-12-21T19:07:13.000Z | graphiql_strawberry_debug_toolbar/serializers.py | przemub/django-graphiql-strawberry-debug-toolbar | 14882b215a63a5b73a26fd9e641ac8fe98f65eaa | [
"MIT"
] | 15 | 2018-03-15T13:12:33.000Z | 2022-02-10T14:46:33.000Z | graphiql_strawberry_debug_toolbar/serializers.py | przemub/django-graphiql-strawberry-debug-toolbar | 14882b215a63a5b73a26fd9e641ac8fe98f65eaa | [
"MIT"
] | 15 | 2019-06-19T12:04:53.000Z | 2022-03-16T16:55:09.000Z | from django.core.serializers.json import DjangoJSONEncoder
| 24.666667 | 58 | 0.689189 |
aad00b037048f38be17375ec73355e9d7864cd27 | 9,563 | py | Python | Famcy/_util_/_fsubmission.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | Famcy/_util_/_fsubmission.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | 12 | 2022-02-05T04:56:44.000Z | 2022-03-30T09:59:26.000Z | Famcy/_util_/_fsubmission.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | import abc
import enum
import json
import pickle
import time
import Famcy
import _ctypes
import os
import datetime
from flask import session
from werkzeug.utils import secure_filename
# GLOBAL HELPER
def get_fsubmission_obj(parent, obj_id):
""" Inverse of id() function. But only works if the object is not garbage col... | 33.911348 | 157 | 0.736066 |
aad089a6f4a448fc23d035f432e9858d598d7704 | 1,982 | py | Python | user/forms.py | apuc/django-rest-framework | 863f2dcca5f2a677ac0e477fc704cc54cd9a53f8 | [
"MIT"
] | null | null | null | user/forms.py | apuc/django-rest-framework | 863f2dcca5f2a677ac0e477fc704cc54cd9a53f8 | [
"MIT"
] | 6 | 2021-03-30T14:08:14.000Z | 2021-09-08T02:21:23.000Z | user/forms.py | apuc/django-rest-framework | 863f2dcca5f2a677ac0e477fc704cc54cd9a53f8 | [
"MIT"
] | null | null | null | from crispy_forms import layout
from crispy_forms.helper import FormHelper
from django.conf import settings
from django.contrib.auth.forms import UserCreationForm
from django.urls import reverse_lazy
from django import forms
from .models import UserProfile
| 30.492308 | 75 | 0.592331 |
aad22ce0ae134c7841d5d6eb61bc2075cbcc5f71 | 3,187 | py | Python | wadi.py | sensepost/wadi | 7d29ee53d63425029c653fb7c20b4ff4c15f289b | [
"CC0-1.0"
] | 137 | 2015-10-23T14:58:42.000Z | 2021-11-18T09:59:16.000Z | wadi.py | sensepost/wadi | 7d29ee53d63425029c653fb7c20b4ff4c15f289b | [
"CC0-1.0"
] | 11 | 2015-10-31T06:51:50.000Z | 2022-02-20T20:22:04.000Z | wadi.py | sensepost/wadi | 7d29ee53d63425029c653fb7c20b4ff4c15f289b | [
"CC0-1.0"
] | 62 | 2015-10-23T14:58:49.000Z | 2021-11-18T09:18:13.000Z | import sys
import os
from multiprocessing import Process, Queue, Manager
from threading import Timer
from wadi_harness import Harness
from wadi_debug_win import Debugger
import time
import hashlib
if __name__ == '__main__':
#try:
w = wadi()
w.run()
#except:
# w.close()
| 24.898438 | 81 | 0.612488 |
aad2be6c93fd38e19f49dbbdc525b7e3001efbe1 | 7,720 | py | Python | learnIndependentRegressionModel.py | zawlin/multi-modal-regression | 61aa6c066834ab1373275decc38e361db5c2cf04 | [
"MIT"
] | 29 | 2018-06-21T06:46:17.000Z | 2021-09-02T02:47:30.000Z | learnIndependentRegressionModel.py | zawlin/multi-modal-regression | 61aa6c066834ab1373275decc38e361db5c2cf04 | [
"MIT"
] | 1 | 2018-11-15T01:51:47.000Z | 2018-11-21T10:48:31.000Z | learnIndependentRegressionModel.py | zawlin/multi-modal-regression | 61aa6c066834ab1373275decc38e361db5c2cf04 | [
"MIT"
] | 7 | 2018-06-21T06:46:53.000Z | 2021-10-04T09:32:24.000Z | # -*- coding: utf-8 -*-
"""
Independent model based on Geodesic Regression model R_G
"""
import torch
from torch import nn, optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
import torch.nn.functional as F
from dataGenerators import ImagesAll, TestImages, my_collate
from axisAngle impo... | 33.71179 | 152 | 0.748964 |
aad37494decad9fd0ad1fb72dcfce3587fe45cdf | 1,033 | py | Python | rick_and_morty_app/views.py | esalcedo94/final_project | 7dce4fae8248d820698220d3289bfb49bd96b2cd | [
"MIT"
] | null | null | null | rick_and_morty_app/views.py | esalcedo94/final_project | 7dce4fae8248d820698220d3289bfb49bd96b2cd | [
"MIT"
] | 4 | 2021-03-19T01:50:05.000Z | 2021-09-22T18:52:13.000Z | rick_and_morty_app/views.py | esalcedo94/final_project | 7dce4fae8248d820698220d3289bfb49bd96b2cd | [
"MIT"
] | null | null | null | # from django.shortcuts import render, redirect, get_object_or_404
from .forms import CharacterForm
from rick_and_morty_app.models import Character
from django.views.generic import ListView, CreateView, UpdateView, DetailView, DeleteView
from django.urls import reverse_lazy # new
# Create your views here.
| 31.30303 | 89 | 0.771539 |
aad397b94b0cb0be8ca7c28476744dda7ab4e655 | 339 | py | Python | samples/contacts/pathUtils.py | Trevol/Mask_RCNN | 18308082e2c5fd5b4df5d6e40f009b3ebd66c26d | [
"MIT"
] | null | null | null | samples/contacts/pathUtils.py | Trevol/Mask_RCNN | 18308082e2c5fd5b4df5d6e40f009b3ebd66c26d | [
"MIT"
] | null | null | null | samples/contacts/pathUtils.py | Trevol/Mask_RCNN | 18308082e2c5fd5b4df5d6e40f009b3ebd66c26d | [
"MIT"
] | null | null | null | import os, sys | 28.25 | 72 | 0.719764 |
aad3cf7fbb7dfdec62fdd48f0ef851241425453c | 6,840 | py | Python | event_extractor/train/train.py | chenking2020/event_extract_master | 6b8d470d2caa5ec6785eae07bca04e66fb3734b7 | [
"MIT"
] | 30 | 2021-01-22T08:06:07.000Z | 2022-03-25T14:01:25.000Z | event_extractor/train/train.py | chenking2020/EventTrainServer | 6b8d470d2caa5ec6785eae07bca04e66fb3734b7 | [
"MIT"
] | 4 | 2021-03-29T09:28:12.000Z | 2022-03-25T14:01:14.000Z | event_extractor/train/train.py | chenking2020/EventTrainServer | 6b8d470d2caa5ec6785eae07bca04e66fb3734b7 | [
"MIT"
] | 3 | 2021-01-22T08:06:08.000Z | 2022-02-21T04:04:19.000Z | from __future__ import print_function
import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from event_extractor.dataprocess import data_loader
from event_extractor.train.eval import evaluate
import importlib
import time
if __name__ == '__main__':
# train... | 47.832168 | 117 | 0.550146 |
aad4319f7007dc6fffcb823fea0b0e260ea324c5 | 3,298 | py | Python | src/oci/object_storage/models/commit_multipart_upload_part_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/object_storage/models/commit_multipart_upload_part_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/object_storage/models/commit_multipart_upload_part_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 31.113208 | 245 | 0.654942 |
aad4be15ea0538f236e4812d499d7d48b22d6200 | 3,114 | py | Python | sorter/lib/data_handler.py | 1shooperman/gr-sorter | 6efa1b1fc9c7a5d0c8c77d8018122b3bac5730e6 | [
"MIT"
] | null | null | null | sorter/lib/data_handler.py | 1shooperman/gr-sorter | 6efa1b1fc9c7a5d0c8c77d8018122b3bac5730e6 | [
"MIT"
] | 17 | 2018-09-03T15:48:33.000Z | 2021-05-07T20:14:24.000Z | sorter/lib/data_handler.py | 1shooperman/gr-sorter | 6efa1b1fc9c7a5d0c8c77d8018122b3bac5730e6 | [
"MIT"
] | null | null | null | ''' data_handler.py '''
import os
from sorter.lib.db import DB
from sorter.lib.book_utils import get_by_id, get_by_isbn
from sorter.lib.parse_xml import parse_isbn13_response, parse_id_response
def store_data(books, db_file):
'''
Store the book data in the provided database
'''
database = DB(db_file)
... | 25.95 | 91 | 0.624599 |
aad6602e278463189f96a290a221da480e19eb2d | 3,054 | py | Python | data_conversions/prepare_las_filelists.py | nazarred/PointCNN | 41043270a2ccde4fddf03e7e90e5c3f511c7454c | [
"MIT"
] | null | null | null | data_conversions/prepare_las_filelists.py | nazarred/PointCNN | 41043270a2ccde4fddf03e7e90e5c3f511c7454c | [
"MIT"
] | null | null | null | data_conversions/prepare_las_filelists.py | nazarred/PointCNN | 41043270a2ccde4fddf03e7e90e5c3f511c7454c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
'''Prepare Filelists for Semantic3D Segmentation Task.'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import os
import math
import pathlib
import random
import argparse
from datetime import datetime
from logger import ... | 37.703704 | 119 | 0.614276 |
aad86497556c746db67d036ea08fdadb6f84750c | 7,382 | py | Python | survol/sources_types/CIM_ComputerSystem/__init__.py | AugustinMascarelli/survol | 7a822900e82d1e6f016dba014af5741558b78f15 | [
"BSD-3-Clause"
] | null | null | null | survol/sources_types/CIM_ComputerSystem/__init__.py | AugustinMascarelli/survol | 7a822900e82d1e6f016dba014af5741558b78f15 | [
"BSD-3-Clause"
] | null | null | null | survol/sources_types/CIM_ComputerSystem/__init__.py | AugustinMascarelli/survol | 7a822900e82d1e6f016dba014af5741558b78f15 | [
"BSD-3-Clause"
] | null | null | null | """
Computer system.
Scripts related to the class CIM_ComputerSystem.
"""
import sys
import socket
import lib_util
# This must be defined here, because dockit cannot load modules from here,
# and this ontology would not be defined.
import lib_common
from lib_properties import pc
# This returns a nice name given th... | 38.649215 | 131 | 0.671227 |
aad8819b95f363cf2961e65958f9749138888b61 | 133 | py | Python | Primeiros Passos/1-DAY ONE/Sabendo se o nome da cidade tem santo.py | pedroluceena/TreinosPI | c11a76a1361f61a71e16edb2127eb08c12c090e1 | [
"MIT"
] | null | null | null | Primeiros Passos/1-DAY ONE/Sabendo se o nome da cidade tem santo.py | pedroluceena/TreinosPI | c11a76a1361f61a71e16edb2127eb08c12c090e1 | [
"MIT"
] | null | null | null | Primeiros Passos/1-DAY ONE/Sabendo se o nome da cidade tem santo.py | pedroluceena/TreinosPI | c11a76a1361f61a71e16edb2127eb08c12c090e1 | [
"MIT"
] | null | null | null | cidade = str(input('Qual o Nome da sua Cidade ?: ')).strip()
print('Sua cidade possui o nome Santo?',cidade[:5].upper() == 'SANTO') | 66.5 | 70 | 0.654135 |
aadbf2b63958e62ec45145d598a2e30bf7ec61e8 | 391 | py | Python | carbonplan_forest_risks/setup/loading.py | norlandrhagen/forest-risks | 2cbc87064ac05299dba952c9f0cb8022ffd8909a | [
"MIT"
] | 20 | 2021-05-01T18:08:07.000Z | 2022-03-09T10:24:53.000Z | carbonplan_forest_risks/setup/loading.py | norlandrhagen/forest-risks | 2cbc87064ac05299dba952c9f0cb8022ffd8909a | [
"MIT"
] | 15 | 2021-03-31T05:20:55.000Z | 2022-02-28T13:02:58.000Z | carbonplan_forest_risks/setup/loading.py | norlandrhagen/forest-risks | 2cbc87064ac05299dba952c9f0cb8022ffd8909a | [
"MIT"
] | 4 | 2020-10-26T20:52:30.000Z | 2021-02-19T07:42:52.000Z | import pathlib
import urlpath
| 23 | 70 | 0.608696 |
aadc6caacc7ccc064997d62040d5601470ca380f | 1,656 | py | Python | remove_svn_folder.py | sdenisen/test | 709bcdd16d0f83f03b04e0bc7918bb3785993c59 | [
"Unlicense"
] | null | null | null | remove_svn_folder.py | sdenisen/test | 709bcdd16d0f83f03b04e0bc7918bb3785993c59 | [
"Unlicense"
] | 2 | 2017-08-24T18:55:37.000Z | 2017-08-24T18:59:06.000Z | remove_svn_folder.py | sdenisen/test | 709bcdd16d0f83f03b04e0bc7918bb3785993c59 | [
"Unlicense"
] | null | null | null | __author__ = 'Sergey'
import shutil
import os
import stat
directory_list = []
root = "D:\\_svn_repo\\trunk"
remove_dir = ".svn"
# 1 - read all directories recursively and store to a variable list of directory.
read_all_directory_path(root, directory_list)
# 2 - remove directory from the variable.
for directory i... | 29.571429 | 92 | 0.679348 |
aadcc926ae2bae8f3f547c0e153e1ffc86f3b16e | 65 | py | Python | tackle/__init__.py | robcxyz/tackle-box | a7a1403d4f7549cdacb32e5b11c1f9043bdd5762 | [
"BSD-3-Clause"
] | 5 | 2021-01-05T04:21:37.000Z | 2022-01-01T22:12:32.000Z | tackle/__init__.py | robcxyz/tackle-box | a7a1403d4f7549cdacb32e5b11c1f9043bdd5762 | [
"BSD-3-Clause"
] | 51 | 2021-01-03T00:41:59.000Z | 2022-03-27T00:13:51.000Z | tackle/__init__.py | robcxyz/tackle-box | a7a1403d4f7549cdacb32e5b11c1f9043bdd5762 | [
"BSD-3-Clause"
] | 1 | 2022-01-03T11:46:02.000Z | 2022-01-03T11:46:02.000Z | """Main package for tackle box."""
__version__ = "0.1.0-alpha.4"
| 21.666667 | 34 | 0.661538 |
aaddeb43199a4c0500f1f08b0da1b9779cd9a4f7 | 1,374 | py | Python | app/core/console/base.py | cPoolChia/ChiaAutoplotter-Worker | 7368396bda018a5adedef74173aba7b6f8f0eccc | [
"MIT"
] | 2 | 2021-06-02T08:19:27.000Z | 2021-06-02T09:53:11.000Z | app/core/console/base.py | cPoolChia/ChiaAutoplotter-Worker | 7368396bda018a5adedef74173aba7b6f8f0eccc | [
"MIT"
] | null | null | null | app/core/console/base.py | cPoolChia/ChiaAutoplotter-Worker | 7368396bda018a5adedef74173aba7b6f8f0eccc | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from typing import Any, AsyncIterable, Callable, Awaitable, Optional, Union
import uuid
AsyncStrCallback = Callable[[str], Awaitable[None]]
| 24.105263 | 88 | 0.617904 |
aadfff06b29955168bb01b2fd687e7d85bcf363a | 563 | py | Python | apps/flow/run.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 349 | 2020-08-04T10:21:01.000Z | 2022-03-23T08:31:29.000Z | apps/flow/run.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 2 | 2021-01-07T06:17:05.000Z | 2021-04-01T06:01:30.000Z | apps/flow/run.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 70 | 2020-08-24T06:46:14.000Z | 2022-03-25T13:23:27.000Z | from apps.flow.settings import config
if config.SERVER_ENV != 'dev':
from gevent import monkey
monkey.patch_all()
else:
pass
from apps.flow.views.deploy import deploy
from apps.flow.views.flow import flow
from library.api.tFlask import tflask
if __name__ == '__main__':
create_app().run(port=confi... | 20.107143 | 59 | 0.730018 |
aae039b933dcd56d996e1972cd2fbbaabcc08e08 | 493 | py | Python | villas/controller/components/gateways/villas_relay.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | villas/controller/components/gateways/villas_relay.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | villas/controller/components/gateways/villas_relay.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | from villas.controller.components.gateway import Gateway
| 24.65 | 77 | 0.578093 |
aae1ec807aa6c921790407473d22408db473c3dc | 4,315 | py | Python | itertable/gis/mixins.py | 1Q1-Open-Source/itertable | 73e59be2d1db8433ba954b0242d7964b3da2bf0e | [
"MIT"
] | 16 | 2019-11-11T12:50:32.000Z | 2022-03-25T08:52:07.000Z | itertable/gis/mixins.py | 1Q1-Open-Source/itertable | 73e59be2d1db8433ba954b0242d7964b3da2bf0e | [
"MIT"
] | 3 | 2019-09-24T14:14:04.000Z | 2021-11-22T02:17:54.000Z | itertable/gis/mixins.py | 1Q1-Open-Source/itertable | 73e59be2d1db8433ba954b0242d7964b3da2bf0e | [
"MIT"
] | 2 | 2021-11-08T07:38:31.000Z | 2021-12-01T00:01:41.000Z | import fiona
from shapely import wkt, geometry
from ..loaders import FileLoader
from ..parsers.base import BaseParser
from ..mappers import TupleMapper
def guess_driver(filename):
if filename.endswith(".shp"):
return "ESRI Shapefile"
else:
return "GeoJSON"
| 31.268116 | 74 | 0.575435 |
aae3bc4aae7976bccac4f5b0de858e6206edb768 | 4,331 | py | Python | src/service_framework/connections/out/requester.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | 1 | 2020-03-20T21:33:56.000Z | 2020-03-20T21:33:56.000Z | src/service_framework/connections/out/requester.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | 1 | 2020-03-22T03:48:45.000Z | 2020-03-22T03:48:45.000Z | src/service_framework/connections/out/requester.py | ZacharyATanenbaum/service_framework | b5dde4407998350d1b7ad09284110b986fd4e12a | [
"MIT"
] | null | null | null | """ File to house a requester connection """
from logging import getLogger
import zmq
from service_framework.utils.connection_utils import BaseConnection
from service_framework.utils.msgpack_utils import msg_pack, msg_unpack
from service_framework.utils.socket_utils import get_requester_socket
LOG = getLogger(__name... | 31.845588 | 81 | 0.58647 |
aae3dee92f7ddb11b47b7b8a14769a88c001f66c | 25,675 | py | Python | module/quantization/cluster_q.py | fightingnoble/Robust-ReRAM-NN | 22d14386a5298c7a9dd3dce894363c30896abd19 | [
"MIT"
] | null | null | null | module/quantization/cluster_q.py | fightingnoble/Robust-ReRAM-NN | 22d14386a5298c7a9dd3dce894363c30896abd19 | [
"MIT"
] | null | null | null | module/quantization/cluster_q.py | fightingnoble/Robust-ReRAM-NN | 22d14386a5298c7a9dd3dce894363c30896abd19 | [
"MIT"
] | null | null | null | # from sklearn.cluster._kmeans import *
import copy
from typing import Union
import torch
import torch.nn as nn
from sklearn.cluster._robustq import *
from .quantizer import Quantizer
__all__ = ['MiniBatchRobustqTorch', 'RobustqTorch']
# TODO: Use close package
def insert_robust_quntizer(module:nn.Module, quant... | 41.014377 | 123 | 0.518598 |
aae44756cbe9fb17074f9c08844383373bfa435e | 247 | py | Python | kattis/Shopping List.py | jaredliw/python-question-bank | 9c8c246623d8d171f875700b57772df0afcbdcdf | [
"MIT"
] | 1 | 2021-04-08T07:49:15.000Z | 2021-04-08T07:49:15.000Z | kattis/Shopping List.py | jaredliw/leetcode-solutions | 9c8c246623d8d171f875700b57772df0afcbdcdf | [
"MIT"
] | null | null | null | kattis/Shopping List.py | jaredliw/leetcode-solutions | 9c8c246623d8d171f875700b57772df0afcbdcdf | [
"MIT"
] | 1 | 2022-01-23T02:12:24.000Z | 2022-01-23T02:12:24.000Z | # CPU: 0.18 s
n_rows, _ = map(int, input().split())
common_items = set(input().split())
for _ in range(n_rows - 1):
common_items = common_items.intersection(set(input().split()))
print(len(common_items))
print(*sorted(common_items), sep="\n")
| 30.875 | 66 | 0.684211 |
2a9a4d87b28f9436adbf59fa348294bf68f453a8 | 155 | py | Python | revuo/forms/__init__.py | Lasanha/revuo | 3fb2a06515194416aff3b9a9efac321f1af3209a | [
"BSD-3-Clause"
] | 1 | 2020-03-24T23:33:57.000Z | 2020-03-24T23:33:57.000Z | revuo/forms/__init__.py | Lasanha/revuo | 3fb2a06515194416aff3b9a9efac321f1af3209a | [
"BSD-3-Clause"
] | 26 | 2015-01-20T13:31:57.000Z | 2020-06-05T17:26:18.000Z | revuo/forms/__init__.py | Lasanha/revuo | 3fb2a06515194416aff3b9a9efac321f1af3209a | [
"BSD-3-Clause"
] | null | null | null | from .blog_item import FormBlogItem
from .edit_profile import FormEditProfile
from .news_item import FormNewsItem
from .publication import FormPublication
| 31 | 41 | 0.870968 |
2a9a824358bcc69196e77f5087a8a0a54404562e | 22,333 | py | Python | helperscripts/es2json.py | waehniger/efre-lod-elasticsearch-tools | e5025ac810c369135fab90be88d29ab073ccbebb | [
"Apache-2.0"
] | null | null | null | helperscripts/es2json.py | waehniger/efre-lod-elasticsearch-tools | e5025ac810c369135fab90be88d29ab073ccbebb | [
"Apache-2.0"
] | null | null | null | helperscripts/es2json.py | waehniger/efre-lod-elasticsearch-tools | e5025ac810c369135fab90be88d29ab073ccbebb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from datetime import datetime
import json
import elasticsearch
import argparse
import logging
import sys, os, time, atexit
from signal import SIGTERM #needed for Daemon
from httplib2 import Http #needed for put_dict
def put_dict(url, dictionary):
'''
Pass ... | 42.458175 | 255 | 0.557561 |
2a9ab14e54ff5f86c5d259ed762fb8e2b9216336 | 2,195 | py | Python | 4/1.py | ZYM-PKU/Raspberry-3B | bca939a71575d7298d09a8f56cd697ddf63f34d5 | [
"MIT"
] | null | null | null | 4/1.py | ZYM-PKU/Raspberry-3B | bca939a71575d7298d09a8f56cd697ddf63f34d5 | [
"MIT"
] | null | null | null | 4/1.py | ZYM-PKU/Raspberry-3B | bca939a71575d7298d09a8f56cd697ddf63f34d5 | [
"MIT"
] | null | null | null | import time
import os
import spidev as SPI
import SSD1306
from PIL import Image, ImageDraw, ImageFont #
from datetime import datetime
PATH = os.path.dirname(__file__)
RST = 19
DC = 16
bus = 0
device = 0 #
disp = SSD1306.SSD1306(rst=RST, dc=DC, spi=SPI.SpiDev(bus, device))
disp.begin()
disp.clear()
def disp1()... | 27.098765 | 79 | 0.591344 |
2a9b3f2fbc45cf570c14b8caf9673a079f617761 | 4,008 | py | Python | DjangoDemo/language/chart.py | gaivin/GWeb | f3d39e0dcb1640c3466bcf2aa4ebae65c64d4348 | [
"MIT"
] | 1 | 2019-11-04T01:18:02.000Z | 2019-11-04T01:18:02.000Z | DjangoDemo/language/chart.py | gaivin/GWeb | f3d39e0dcb1640c3466bcf2aa4ebae65c64d4348 | [
"MIT"
] | null | null | null | DjangoDemo/language/chart.py | gaivin/GWeb | f3d39e0dcb1640c3466bcf2aa4ebae65c64d4348 | [
"MIT"
] | 1 | 2019-11-04T01:18:08.000Z | 2019-11-04T01:18:08.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
@version: v1.0
@author: Gaivin Wang
@license: Apache Licence
@contact: gaivin@outlook.com
@site:
@software: PyCharm
@file: chart.py
@time: 10/10/2018 4:14 PM
"""
from pyecharts import Bar, Line, WordCloud
import pandas as pd
import random, os.p... | 39.294118 | 106 | 0.600798 |
2a9b5085bd109f647ca53c8bccc9f5901b048ec5 | 2,773 | py | Python | code/evaluate.py | kajal-puri/point-normals-upsampling | 5248c0d1b2b26ec9e002eb9520a204cdd186ab1d | [
"MIT"
] | 2 | 2021-04-27T15:09:41.000Z | 2021-07-01T00:32:54.000Z | code/evaluate.py | kajal-puri/point-normals-upsampling | 5248c0d1b2b26ec9e002eb9520a204cdd186ab1d | [
"MIT"
] | null | null | null | code/evaluate.py | kajal-puri/point-normals-upsampling | 5248c0d1b2b26ec9e002eb9520a204cdd186ab1d | [
"MIT"
] | 1 | 2021-10-05T14:08:19.000Z | 2021-10-05T14:08:19.000Z | # -*- coding: utf-8 -*-
import torch
import argparse
import numpy as np
from model import PointCloudNet
from code.utils import fp_sampling, knn_patch, helper_function
import os
parser = argparse.ArgumentParser()
parser.add_argument('--num_points', default=1024, type=int,
help='Number of points ... | 39.614286 | 161 | 0.705373 |
2a9c29a9ca43c2e78dfd11fb0c0783a70a2f2e37 | 10,197 | py | Python | xyz2image.py | hentr/xyz2image | bee976e0062ee893594e56ead1e75cb5d7a4e8af | [
"MIT"
] | null | null | null | xyz2image.py | hentr/xyz2image | bee976e0062ee893594e56ead1e75cb5d7a4e8af | [
"MIT"
] | null | null | null | xyz2image.py | hentr/xyz2image | bee976e0062ee893594e56ead1e75cb5d7a4e8af | [
"MIT"
] | null | null | null | '''
Authors: Trond Henninen(trond.henninen@empa.ch) and Feng Wang
This script is for generating normalised Gaussian simulated annular dark-field scanning transmission electron microscopy (ADF-STEM) images from input atomic coordinates.
For rapidly generating a large dataset, it approximates a contrast similar to multi... | 55.721311 | 188 | 0.674806 |
2a9d635771da63e49497a253910a29aded54decf | 906 | py | Python | ex084.py | BrianBeyer/pythonExercicios | 062e2c6a9e6e6f513185f1fb1d4269d8ca1d9e89 | [
"MIT"
] | null | null | null | ex084.py | BrianBeyer/pythonExercicios | 062e2c6a9e6e6f513185f1fb1d4269d8ca1d9e89 | [
"MIT"
] | null | null | null | ex084.py | BrianBeyer/pythonExercicios | 062e2c6a9e6e6f513185f1fb1d4269d8ca1d9e89 | [
"MIT"
] | null | null | null | lista = []
pess = []
men = 0
mai = 0
while True:
pess.append(str(input('Nome:')))
pess.append(float(input('Peso:')))
if len(lista)==0:# se nao cadastrou ninguem ainda
mai = men = pess[1]#o maior o mesmo que o menor e igual pess na posicao 1 que o peso
else:
if pess[1] > mai:
... | 25.885714 | 96 | 0.555188 |
2a9e6aba26f30258549a13ef7697fd4a41b47aac | 563 | py | Python | search_engine/worker.py | Dhruvacube/search-engine | 13ba35d99e1dcb7591975e352d70329d41f868e6 | [
"Apache-2.0"
] | null | null | null | search_engine/worker.py | Dhruvacube/search-engine | 13ba35d99e1dcb7591975e352d70329d41f868e6 | [
"Apache-2.0"
] | null | null | null | search_engine/worker.py | Dhruvacube/search-engine | 13ba35d99e1dcb7591975e352d70329d41f868e6 | [
"Apache-2.0"
] | null | null | null | import importlib
from uvicorn.workers import UvicornWorker
| 29.631579 | 77 | 0.65897 |
2a9f331439bd99a892c7c6363b31983af66fb320 | 3,949 | py | Python | tensorflow/python/debug/lib/debug_events_reader.py | scentini/tensorflow | 204ed332c0886a0e0ab10b22ba8d67b97e1c83c4 | [
"Apache-2.0"
] | 27 | 2020-02-29T04:13:22.000Z | 2022-02-07T21:54:50.000Z | tensorflow/python/debug/lib/debug_events_reader.py | scentini/tensorflow | 204ed332c0886a0e0ab10b22ba8d67b97e1c83c4 | [
"Apache-2.0"
] | 5 | 2020-06-01T18:50:38.000Z | 2021-07-16T07:13:52.000Z | tensorflow/python/debug/lib/debug_events_reader.py | scentini/tensorflow | 204ed332c0886a0e0ab10b22ba8d67b97e1c83c4 | [
"Apache-2.0"
] | 10 | 2020-12-15T03:55:24.000Z | 2021-12-17T23:14:11.000Z | # Copyright 2019 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... | 41.135417 | 80 | 0.719423 |
2aa12187c846911b063045b77f3dd27d4bcbb70f | 24,225 | py | Python | src/amuse/couple/bridge.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | null | null | null | src/amuse/couple/bridge.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | 2 | 2018-06-22T13:02:14.000Z | 2018-09-06T20:08:43.000Z | src/amuse/couple/bridge.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | null | null | null | """
bridge-like integrator for amuse
the bridge class provides a bridge like coupling between different
gravitational integrators. In this way a system composed of multiple
components can be evolved taking account of the self gravity of the whole
system self consistently, while choosing the most appropiate i... | 33.881119 | 164 | 0.637647 |
2aa127aad07445a64e9152911064c6bad0de9f2d | 8,808 | py | Python | active.py | cgretzem/leaguepkg | 8bb298417e948806b1bccd3ffe31ac23ccb62bf3 | [
"MIT"
] | 1 | 2021-09-17T22:42:26.000Z | 2021-09-17T22:42:26.000Z | active.py | cgretzem/leaguepkg | 8bb298417e948806b1bccd3ffe31ac23ccb62bf3 | [
"MIT"
] | null | null | null | active.py | cgretzem/leaguepkg | 8bb298417e948806b1bccd3ffe31ac23ccb62bf3 | [
"MIT"
] | null | null | null | """
Handles classes and methods for an active local Game.
Classes:
`ActiveGame` - Represents an active LOL game
`Player` - represents a player inside the game
`ActivePlayer` - subclass of player, represents host
`Item` - represents an item in game
Methods:
`check_status()` -> bool
Err... | 33.112782 | 183 | 0.602293 |
2aa2c472094d956432f11fdf8f38e4862376bad8 | 6,406 | py | Python | UMLRT2Kiltera_MM/transformation_eq_outside/HExitPoint2BProcDefWhetherOrNotExitPtHasOutgoingTrans.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 3 | 2017-06-02T19:26:27.000Z | 2021-06-14T04:25:45.000Z | UMLRT2Kiltera_MM/transformation_eq_outside/HExitPoint2BProcDefWhetherOrNotExitPtHasOutgoingTrans.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 8 | 2016-08-24T07:04:07.000Z | 2017-05-26T16:22:47.000Z | UMLRT2Kiltera_MM/transformation_eq_outside/HExitPoint2BProcDefWhetherOrNotExitPtHasOutgoingTrans.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 1 | 2019-10-31T06:00:23.000Z | 2019-10-31T06:00:23.000Z | from core.himesis import Himesis
import uuid
| 38.824242 | 318 | 0.530909 |
2aa5453199355e4c36254ebb1452a62267afff50 | 1,553 | py | Python | shellish/command/contrib/ini.py | personnelink/shellish | f130599aabe1ed44323b2374c9e6c3b789f06517 | [
"MIT"
] | 4 | 2015-10-06T23:50:20.000Z | 2021-06-11T19:20:43.000Z | shellish/command/contrib/ini.py | personnelink/shellish | f130599aabe1ed44323b2374c9e6c3b789f06517 | [
"MIT"
] | null | null | null | shellish/command/contrib/ini.py | personnelink/shellish | f130599aabe1ed44323b2374c9e6c3b789f06517 | [
"MIT"
] | null | null | null | """
Show the INI config(s) used by a command tree.
"""
from .. import command
| 31.06 | 77 | 0.568577 |
2aa5942f73cecef566d01cdaae9fb817121f496b | 7,862 | py | Python | Report folder/Total_image_PCA_analysis/PCA_image_all_samples_1_plot.py | xiaoyanLi629/Coffee-ring-effect-image-analysis | 0873f55ae78775835209371845c26cd6ba1a73e0 | [
"MIT"
] | null | null | null | Report folder/Total_image_PCA_analysis/PCA_image_all_samples_1_plot.py | xiaoyanLi629/Coffee-ring-effect-image-analysis | 0873f55ae78775835209371845c26cd6ba1a73e0 | [
"MIT"
] | null | null | null | Report folder/Total_image_PCA_analysis/PCA_image_all_samples_1_plot.py | xiaoyanLi629/Coffee-ring-effect-image-analysis | 0873f55ae78775835209371845c26cd6ba1a73e0 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
from PIL import Image
import pandas as pd
from sklearn.decomposition import PCA
from scipy.spatial.distance import pdist, squareform
from scipy.sparse.linalg import eigs
from numpy import linalg as LA
from mpl_toolkits.mplot3d import Ax... | 55.366197 | 134 | 0.589672 |
2aa65b484384e454a6e81e84c558c2dde1338019 | 3,983 | py | Python | example/example_person.py | Shadow-linux/ex_dataclass | 1fe186ea990f6f2337fb7ee6b6ba54fa7791afa0 | [
"MIT"
] | 18 | 2021-06-29T11:12:42.000Z | 2022-03-31T20:31:10.000Z | example/example_person.py | Shadow-linux/ex_dataclass | 1fe186ea990f6f2337fb7ee6b6ba54fa7791afa0 | [
"MIT"
] | 1 | 2021-06-30T03:12:46.000Z | 2021-06-30T03:12:46.000Z | example/example_person.py | Shadow-linux/ex_dataclass | 1fe186ea990f6f2337fb7ee6b6ba54fa7791afa0 | [
"MIT"
] | 3 | 2021-06-29T11:12:43.000Z | 2021-07-08T08:16:12.000Z | import typing
from ex_dataclass import ex_dataclass, asdict, field, EXpack
# TeamUser
all_team = AllTeam(**{
#
"is_active": True,
"teams": [
{
"team_name": "Team-A",
"users" : [
{
"name": "zhangsan",
"age" : 18... | 25.863636 | 205 | 0.568165 |
2aa980f2e7bb9369dafe24972122e61fe79c1759 | 766 | py | Python | class and objects/Mro.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 6 | 2020-08-13T11:49:29.000Z | 2021-03-07T05:46:17.000Z | class and objects/Mro.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | null | null | null | class and objects/Mro.py | ZephyrAveryl777/Python-Programs | 26de85c31af28382d406d27d54186b966a7b1bfc | [
"MIT"
] | 1 | 2021-04-24T06:12:48.000Z | 2021-04-24T06:12:48.000Z | '''
mro stands for Method Resolution Order.
It returns a list of types the class is
derived from, in the order they are searched
for methods'''
print(__doc__)
print('\n'+'-'*35+ 'Method Resolution Order'+'-'*35)
# Diamond inheritance
d1_instance = D1()
d1_instance.dothis()
print(D1.... | 17.022222 | 53 | 0.591384 |
2aac09b051b13c891b16499f4e8579b8384792aa | 1,507 | py | Python | src/petmail/test/test_eventsource.py | warner/petmail | 2c43f6177e301275e235cc2a155aafba3e66b4c4 | [
"MIT"
] | 25 | 2015-04-14T15:55:46.000Z | 2021-01-23T16:00:55.000Z | src/petmail/test/test_eventsource.py | warner/petmail | 2c43f6177e301275e235cc2a155aafba3e66b4c4 | [
"MIT"
] | null | null | null | src/petmail/test/test_eventsource.py | warner/petmail | 2c43f6177e301275e235cc2a155aafba3e66b4c4 | [
"MIT"
] | 1 | 2018-05-17T08:41:47.000Z | 2018-05-17T08:41:47.000Z | from twisted.trial import unittest
from ..eventsource import EventSourceParser
| 35.880952 | 76 | 0.52223 |
2aacd69a9be78b0b125c9417b7a8c0c44c82bb18 | 116 | py | Python | coffea/nanoevents/methods/systematics/__init__.py | Junaid-muhamad/coffea | b644bcf2b48e272e6c78e4b1ddee3c233a67022d | [
"BSD-3-Clause"
] | null | null | null | coffea/nanoevents/methods/systematics/__init__.py | Junaid-muhamad/coffea | b644bcf2b48e272e6c78e4b1ddee3c233a67022d | [
"BSD-3-Clause"
] | null | null | null | coffea/nanoevents/methods/systematics/__init__.py | Junaid-muhamad/coffea | b644bcf2b48e272e6c78e4b1ddee3c233a67022d | [
"BSD-3-Clause"
] | null | null | null | from coffea.nanoevents.methods.systematics.UpDownSystematic import UpDownSystematic
__all__ = ["UpDownSystematic"]
| 29 | 83 | 0.853448 |
2aacece114f8bb2a0a9d49c428291bf6cbab0533 | 7,121 | py | Python | etl/parsers/etw/Microsoft_Windows_SecurityMitigationsBroker.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 104 | 2020-03-04T14:31:31.000Z | 2022-03-28T02:59:36.000Z | etl/parsers/etw/Microsoft_Windows_SecurityMitigationsBroker.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 7 | 2020-04-20T09:18:39.000Z | 2022-03-19T17:06:19.000Z | etl/parsers/etw/Microsoft_Windows_SecurityMitigationsBroker.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 16 | 2020-03-05T18:55:59.000Z | 2022-03-01T10:19:28.000Z | # -*- coding: utf-8 -*-
"""
Microsoft-Windows-SecurityMitigationsBroker
GUID : ea8cd8a5-78ff-4418-b292-aadc6a7181df
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dtyp impor... | 30.173729 | 123 | 0.696391 |
2aad343bddb6ea115f42e2d6dd3a8e74891cc040 | 592 | py | Python | workbench/speech_text/_deepspeech/segment_audio.py | NAshwinKumar/deep-read | ee13bb0651e9b682c411db073fb52f3136d44ea1 | [
"MIT"
] | 6 | 2020-09-26T08:34:19.000Z | 2021-11-26T12:59:50.000Z | workbench/speech_text/_deepspeech/segment_audio.py | NAshwinKumar/deep-read | ee13bb0651e9b682c411db073fb52f3136d44ea1 | [
"MIT"
] | 26 | 2020-09-26T08:46:40.000Z | 2022-02-10T03:18:55.000Z | workbench/speech_text/_deepspeech/segment_audio.py | Acquil/deep-read | aae93c62a0c85ce31eb0e2d759d4d95d7d076c5d | [
"MIT"
] | 10 | 2020-10-08T09:23:41.000Z | 2020-12-03T14:59:09.000Z | from pydub import AudioSegment
from pydub.silence import split_on_silence
def segment(filename,foldername):
"""
filename : str
foldername: str folder to put all the chunks
"""
sound_file = AudioSegment.from_file(filename)
sound_file = sound_file.set_channels(1)
sound_file = sound_file.set_frame_rate(16000)
... | 32.888889 | 84 | 0.760135 |
2aad36ed8d9e01be2c017eacc17af6c7e6d3a8a0 | 126 | py | Python | 01_Language/01_Functions/python/fread.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 3 | 2020-06-28T07:42:51.000Z | 2021-01-15T10:32:11.000Z | 01_Language/01_Functions/python/fread.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 9 | 2021-03-10T22:45:40.000Z | 2022-02-27T06:53:20.000Z | 01_Language/01_Functions/python/fread.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 1 | 2021-01-15T10:51:24.000Z | 2021-01-15T10:51:24.000Z | # coding: utf-8
import os
size = os.path.getsize("test.txt")
with open("test.txt", mode="r") as f:
print(f.read(size))
| 14 | 37 | 0.626984 |
2aadc4ef847555f615099779462d93a8df39559d | 494 | py | Python | CalculateLodsTool.py | makeling/AGSSmartVectorTileTools | 009d925f883729f98c0d0744e1d466062dc260e6 | [
"Apache-2.0"
] | 3 | 2019-02-19T06:14:03.000Z | 2020-01-06T07:57:12.000Z | CalculateLodsTool.py | makeling/AGSSmartVectorTileTools | 009d925f883729f98c0d0744e1d466062dc260e6 | [
"Apache-2.0"
] | null | null | null | CalculateLodsTool.py | makeling/AGSSmartVectorTileTools | 009d925f883729f98c0d0744e1d466062dc260e6 | [
"Apache-2.0"
] | 2 | 2019-03-25T09:43:30.000Z | 2019-11-28T03:52:56.000Z | # -*- coding: utf-8 -*-
# !/usr/bin/python
__author__ = 'ma_keling'
# Version : 1.0.0
# Start Time : 2018-12-20
# Update Time :
# Change Log :
## 1.
## 2.
## 3.
import arcpy
import CalculateLods
execute()
| 18.296296 | 68 | 0.597166 |
2aadd1bf492d72d9413391d2877375cb66b76d8f | 1,099 | py | Python | neolearnit/src/main/python/get_vocabulary.py | BBN-E/LearnIt | 4f602f113cac9f4a7213b348a42c0fef23e2739c | [
"Apache-2.0"
] | 5 | 2020-08-29T21:23:05.000Z | 2022-03-24T19:57:44.000Z | neolearnit/src/main/python/get_vocabulary.py | BBN-E/LearnIt | 4f602f113cac9f4a7213b348a42c0fef23e2739c | [
"Apache-2.0"
] | 11 | 2020-03-04T23:03:34.000Z | 2022-02-18T04:04:04.000Z | neolearnit/src/main/python/get_vocabulary.py | BBN-E/LearnIt | 4f602f113cac9f4a7213b348a42c0fef23e2739c | [
"Apache-2.0"
] | 1 | 2021-05-19T11:51:51.000Z | 2021-05-19T11:51:51.000Z | import sys, os, re, codecs, json, glob
import random
from random import randint
from collections import defaultdict
from collections import Counter
from sets import Set
words=Set()
if __name__ == "__main__":
input_json = sys.argv[1]
main(input_json)
| 22.895833 | 111 | 0.604186 |
2aae87bca48325631f425f14e5ffd5fc9dbc7e0a | 19,727 | py | Python | openapi_client/api/service_api.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | openapi_client/api/service_api.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | openapi_client/api/service_api.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
MBTA
MBTA service API. https://www.mbta.com Source code: https://github.com/mbta/api # noqa: E501
The version of the OpenAPI document: 3.0
Contact: developer@mbta.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa:... | 70.706093 | 2,464 | 0.65641 |
2ab21d6af7562df91669716faae1d4fb2aeb12d2 | 499 | py | Python | interactive_widgets/backend/contexts/docker_context.py | h3ndrk/interactive-widgets-backend | 926dea44f00aca8b51893dab533c566728d5e65d | [
"MIT"
] | null | null | null | interactive_widgets/backend/contexts/docker_context.py | h3ndrk/interactive-widgets-backend | 926dea44f00aca8b51893dab533c566728d5e65d | [
"MIT"
] | null | null | null | interactive_widgets/backend/contexts/docker_context.py | h3ndrk/interactive-widgets-backend | 926dea44f00aca8b51893dab533c566728d5e65d | [
"MIT"
] | null | null | null | import aiodocker
import interactive_widgets.backend.contexts.context
| 27.722222 | 74 | 0.685371 |
2ab257029d0dbdeb4891ca5f55bd97d468685a9c | 12,524 | py | Python | custom_components/xiaomi_cloud_map_extractor/vacuum_manager.py | elad-bar/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor | b68351b693687033ab6c58a00ce6599c7c4e4e70 | [
"MIT"
] | null | null | null | custom_components/xiaomi_cloud_map_extractor/vacuum_manager.py | elad-bar/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor | b68351b693687033ab6c58a00ce6599c7c4e4e70 | [
"MIT"
] | null | null | null | custom_components/xiaomi_cloud_map_extractor/vacuum_manager.py | elad-bar/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor | b68351b693687033ab6c58a00ce6599c7c4e4e70 | [
"MIT"
] | 1 | 2021-12-25T12:01:27.000Z | 2021-12-25T12:01:27.000Z | import io
import logging
import time
from typing import List, Optional
from custom_components.xiaomi_cloud_map_extractor.common.map_data import MapData
from custom_components.xiaomi_cloud_map_extractor.types import Colors, Drawables, ImageConfig, Sizes, Texts
try:
from miio import RoborockVacuum, DeviceException
... | 36.943953 | 115 | 0.660093 |
2ab6714654a4d72674f09fdaa3a13475da0d16e1 | 974 | py | Python | util.py | yasser888/Semantic-Segmentation-SDC-P12 | 973f6b8574dfa13413558b625f5675a422a5161e | [
"MIT"
] | null | null | null | util.py | yasser888/Semantic-Segmentation-SDC-P12 | 973f6b8574dfa13413558b625f5675a422a5161e | [
"MIT"
] | null | null | null | util.py | yasser888/Semantic-Segmentation-SDC-P12 | 973f6b8574dfa13413558b625f5675a422a5161e | [
"MIT"
] | null | null | null | import os;
import time;
cont_file_path = './cont.txt';
log_file_path = './logs/';
# can_continue();
# log_f = create_log();
# print(log_f)
# log_line(log_f,"1....a");
# log_line(log_f,"2....a");
# log_line(log_f,"3....a");
| 23.190476 | 74 | 0.541068 |
2ab6f2fd95e89231a622465bab0cf4bb48fade28 | 418 | py | Python | vtr_flow/scripts/benchtracker/flask_cors/__init__.py | HackerFoo/vtr-verilog-to-routing | 9bf3c1004e8a7c9f3756167905fd2e71218158d0 | [
"MIT"
] | 1 | 2020-05-07T17:38:58.000Z | 2020-05-07T17:38:58.000Z | vtr_flow/scripts/benchtracker/flask_cors/__init__.py | HackerFoo/vtr-verilog-to-routing | 9bf3c1004e8a7c9f3756167905fd2e71218158d0 | [
"MIT"
] | 12 | 2015-06-26T19:47:14.000Z | 2015-07-06T17:29:29.000Z | vtr_flow/scripts/benchtracker/flask_cors/__init__.py | HackerFoo/vtr-verilog-to-routing | 9bf3c1004e8a7c9f3756167905fd2e71218158d0 | [
"MIT"
] | 1 | 2020-08-15T03:04:34.000Z | 2020-08-15T03:04:34.000Z | # -*- coding: utf-8 -*-
"""
flask_cors
~~~~
Flask-CORS is a simple extension to Flask allowing you to support cross
origin resource sharing (CORS) using a simple decorator.
:copyright: (c) 2014 by Cory Dolphin.
:license: MIT, see LICENSE for more details.
"""
from .decorator import cross_origin... | 26.125 | 75 | 0.696172 |
2ab807f882174850903dfd3ada3ceadfda7a1b90 | 554 | py | Python | ownblock/ownblock/apps/parking/views.py | danjac/ownblock | ac662fb7efb2f04567e2f85638c1250286452611 | [
"MIT"
] | 3 | 2015-06-12T04:42:02.000Z | 2018-10-29T17:09:10.000Z | ownblock/ownblock/apps/parking/views.py | danjac/ownblock | ac662fb7efb2f04567e2f85638c1250286452611 | [
"MIT"
] | null | null | null | ownblock/ownblock/apps/parking/views.py | danjac/ownblock | ac662fb7efb2f04567e2f85638c1250286452611 | [
"MIT"
] | null | null | null | from rest_framework import viewsets
from .models import Vehicle
from .serializers import VehicleSerializer
| 25.181818 | 63 | 0.685921 |
2ab9fbffdfdf51006d95c7a23e622d34842779dc | 1,337 | py | Python | Pages/checkout_overview_page.py | gykudo/sauce_demo | 313b4bd956cad4807d225b0a7ed98ca0be9f3371 | [
"MIT"
] | null | null | null | Pages/checkout_overview_page.py | gykudo/sauce_demo | 313b4bd956cad4807d225b0a7ed98ca0be9f3371 | [
"MIT"
] | null | null | null | Pages/checkout_overview_page.py | gykudo/sauce_demo | 313b4bd956cad4807d225b0a7ed98ca0be9f3371 | [
"MIT"
] | null | null | null | from Locators.checkout_overview_locator import CheckoutOverviewLocator
from Objects.product import Product
from Pages.base_page_object import BasePage
from Utils.utility import Utils
| 37.138889 | 78 | 0.799551 |
2aba7a80b083c387ee2bbc9ad1d0586ac7d2b75c | 6,336 | py | Python | plugin.video.vstream/resources/lib/comaddon.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 2 | 2018-11-02T19:55:30.000Z | 2020-08-14T02:22:20.000Z | plugin.video.vstream/resources/lib/comaddon.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | null | null | null | plugin.video.vstream/resources/lib/comaddon.py | akuala/REPO.KUALA | ea9a157025530d2ce8fa0d88431c46c5352e89d4 | [
"Apache-2.0"
] | 3 | 2019-12-17T20:47:00.000Z | 2021-02-11T19:03:59.000Z | # -*- coding: utf-8 -*-
# https://github.com/Kodi-vStream/venom-xbmc-addons
import xbmcaddon, xbmcgui, xbmc
"""System d'importation
from resources.lib.comaddon import addon, dialog, VSlog, xbmcgui, xbmc
"""
"""
from resources.lib.comaddon import addon
addons = addon() en haut de page.
utiliser une fonction comad... | 25.756098 | 126 | 0.640467 |
2abc2ed03517cdd21bec733eb97787935e4839c0 | 2,457 | py | Python | android/replace_apk_resource_pro/replace_source.py | roceys/tools_python | 9c8d5c1c7c1ae4a4c857a65f5b5f14da1c90e425 | [
"Apache-2.0"
] | 130 | 2019-05-19T16:17:26.000Z | 2022-03-30T11:48:38.000Z | android/replace_apk_resource_pro/replace_source.py | roceys/tools_python | 9c8d5c1c7c1ae4a4c857a65f5b5f14da1c90e425 | [
"Apache-2.0"
] | null | null | null | android/replace_apk_resource_pro/replace_source.py | roceys/tools_python | 9c8d5c1c7c1ae4a4c857a65f5b5f14da1c90e425 | [
"Apache-2.0"
] | 119 | 2019-05-27T09:45:14.000Z | 2022-03-09T03:44:53.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
@version: v1.0
@author: xag
@license: Apache Licence
@contact: xinganguo@gmail.com
@site: http://www.xingag.top
@software: PyCharm
@file: replace_source.py
@time: 4/25/19 10:46
@descriptionapk
"""
from file_utils import *
import os
from subprocess import Popen... | 22.135135 | 135 | 0.582825 |
2abcd921b69ac065ccb1607e10b4019c98f27da0 | 226 | py | Python | catalog/bindings/gmd/circle_by_center_point_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/gmd/circle_by_center_point_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/gmd/circle_by_center_point_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
from bindings.gmd.arc_by_center_point_type import ArcByCenterPointType
__NAMESPACE__ = "http://www.opengis.net/gml"
| 22.6 | 70 | 0.836283 |
2abdc47ec5c26a0913fa66840b8fe8ccfd50d515 | 192 | py | Python | python_modules/dagster/dagster_tests/cli_tests/workspace_tests/multi_file_target_workspace/example_one/pipelines.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster_tests/cli_tests/workspace_tests/multi_file_target_workspace/example_one/pipelines.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster_tests/cli_tests/workspace_tests/multi_file_target_workspace/example_one/pipelines.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | # type: ignore[attr-defined]
from solids import example_one_solid # pylint: disable=import-error
from dagster import pipeline
| 19.2 | 68 | 0.786458 |
2abe21e7674c39c2e36ceacf5a1d3ae67238854a | 1,637 | py | Python | src/rxn_network/firetasks/utils.py | bigboyabhisthi/reaction-network | b84f16b7261ecd62d7aa8e2681907f6ea0c35565 | [
"BSD-3-Clause-LBNL"
] | 1 | 2022-02-22T23:09:47.000Z | 2022-02-22T23:09:47.000Z | src/rxn_network/firetasks/utils.py | bigboyabhisthi/reaction-network | b84f16b7261ecd62d7aa8e2681907f6ea0c35565 | [
"BSD-3-Clause-LBNL"
] | null | null | null | src/rxn_network/firetasks/utils.py | bigboyabhisthi/reaction-network | b84f16b7261ecd62d7aa8e2681907f6ea0c35565 | [
"BSD-3-Clause-LBNL"
] | null | null | null | "Utility Fireworks functions borrowed from the atomate package."
import logging
import os
import sys
from typing import Optional
def env_chk(
val: str,
fw_spec: dict,
strict: Optional[bool] = True,
default: Optional[str] = None,
):
"""
Code borrowed from the atomate package.
env_chk() is ... | 26.836066 | 93 | 0.660965 |
2abe330511d1c30bbc24a2fb6be6e9eb79bc3748 | 1,328 | py | Python | train.py | aryachiranjeev/TIC-TAC-TOE-using-RL- | 129efdac8246e9fd1416bda1ec7e134fb9cf90b1 | [
"MIT"
] | null | null | null | train.py | aryachiranjeev/TIC-TAC-TOE-using-RL- | 129efdac8246e9fd1416bda1ec7e134fb9cf90b1 | [
"MIT"
] | null | null | null | train.py | aryachiranjeev/TIC-TAC-TOE-using-RL- | 129efdac8246e9fd1416bda1ec7e134fb9cf90b1 | [
"MIT"
] | null | null | null | import random
import torch
from game import Game
from agent import RLAgent
from moves import Moves
game=Game()
agent=RLAgent()
moves=Moves()
num_win=0 #initialize no. of win by human
num_lose=0 #initialize no. of win by ai but loss by human
num_tie=0
random.seed(1000)
while True:
print("The number of wins are : ... | 16.810127 | 126 | 0.72741 |
2abef5933d8688995ffca89d43bae2f0783a8e26 | 2,265 | py | Python | iota-clients/python-client/receive_msg.py | fprotopapa/iota-and-iot | b27690132452877822d95a9e379f275a5fd41edd | [
"MIT"
] | 1 | 2021-11-19T10:56:25.000Z | 2021-11-19T10:56:25.000Z | iota-clients/python-client/receive_msg.py | fprotopapa/iota-and-iot | b27690132452877822d95a9e379f275a5fd41edd | [
"MIT"
] | null | null | null | iota-clients/python-client/receive_msg.py | fprotopapa/iota-and-iot | b27690132452877822d95a9e379f275a5fd41edd | [
"MIT"
] | null | null | null | # receive_msg.py
#
# SPDX-FileCopyrightText: Copyright 2021 Fabbio Protopapa
#
# SPDX-License-Identifier: MIT
#
# Receive message from IOTA tangle
#
import iota_client
import os
import pprint
# Config
msg_meta = False
env_node_address = 'HORNET_NODE_ADDRESS'
# Print Message data
# Connect to node and retrieve me... | 23.842105 | 99 | 0.61766 |
2abfb7b11aa2ded198b346e1492890affd3b19aa | 2,601 | py | Python | py3status/modules/systemd_suspend_inhibitor.py | boucman/py3status | 84b57304fbf71a466ccb1ed2f2dd039ece6eefb6 | [
"BSD-3-Clause"
] | 1 | 2020-04-07T19:11:36.000Z | 2020-04-07T19:11:36.000Z | py3status/modules/systemd_suspend_inhibitor.py | boucman/py3status | 84b57304fbf71a466ccb1ed2f2dd039ece6eefb6 | [
"BSD-3-Clause"
] | 2 | 2018-03-15T18:44:42.000Z | 2018-03-15T19:22:04.000Z | py3status/modules/systemd_suspend_inhibitor.py | boucman/py3status | 84b57304fbf71a466ccb1ed2f2dd039ece6eefb6 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Turn on and off systemd suspend inhibitor.
Configuration parameters:
format: display format for this module
(default '[\?color=state SUSPEND [\?if=state OFF|ON]]')
lock_types: specify state to inhibit, comma separated list
https://www.freedesktop.org/wiki/Software/sy... | 28.582418 | 73 | 0.618608 |
2ac03cc53a106bb021d3795e2d6e15a15beade33 | 1,595 | py | Python | maze/maze.py | SteliosKliafas/shortest_path_algorithms | 0f28973bce7d53feeee202424b448b5007b5df68 | [
"MIT"
] | null | null | null | maze/maze.py | SteliosKliafas/shortest_path_algorithms | 0f28973bce7d53feeee202424b448b5007b5df68 | [
"MIT"
] | null | null | null | maze/maze.py | SteliosKliafas/shortest_path_algorithms | 0f28973bce7d53feeee202424b448b5007b5df68 | [
"MIT"
] | null | null | null | import numpy as np
import time
| 35.444444 | 101 | 0.598746 |
2ac0c0b791774e16cf9e50fa05289f36f0254019 | 2,707 | py | Python | lexer.py | standy66/kaleidoscope-python | e0fa536871e63ab8b06a0b6fc04375eca788df06 | [
"Apache-2.0"
] | 1 | 2020-06-09T12:10:49.000Z | 2020-06-09T12:10:49.000Z | lexer.py | standy66/kaleidoscope-python | e0fa536871e63ab8b06a0b6fc04375eca788df06 | [
"Apache-2.0"
] | null | null | null | lexer.py | standy66/kaleidoscope-python | e0fa536871e63ab8b06a0b6fc04375eca788df06 | [
"Apache-2.0"
] | null | null | null | from typing import Callable
from enum import Enum
from io import TextIOBase
import sys
def main():
l = Lexer(sys.stdin)
while True:
tok = l.next_token()
print(tok)
if tok.type == TokenType.EOF:
break
if __name__ == "__main__":
main()
| 27.907216 | 80 | 0.561138 |
2ac2ca8daf085ca9db44042efdfb98a16efe100b | 1,175 | py | Python | astrosql/deprecated/query.py | ketozhang/astroSQL | 390195dc737df7a91b23e22c626f64b20fa04feb | [
"Apache-2.0"
] | null | null | null | astrosql/deprecated/query.py | ketozhang/astroSQL | 390195dc737df7a91b23e22c626f64b20fa04feb | [
"Apache-2.0"
] | 1 | 2020-03-27T20:34:27.000Z | 2020-03-28T01:46:30.000Z | astrosql/deprecated/query.py | ketozhang/astroSQL | 390195dc737df7a91b23e22c626f64b20fa04feb | [
"Apache-2.0"
] | null | null | null | import peeweedb
import astropy.units as u
def get_by_basename(db, table, basename):
"""Get data from SQL database by basename. Returns a list of dict"""
if isinstance(table, str):
assert table in db.get_tables(), "Sanity Check Failed: Table queried does not exist"
table = peeweedb.tabl... | 29.375 | 94 | 0.622979 |
2ac61fcea69ad7476d8abf7af785c80670e0b3ef | 5,878 | py | Python | venv/lib/python3.8/site-packages/ansible_collections/community/general/plugins/modules/remote_management/redfish/ilo_redfish_info.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | 1 | 2022-02-24T18:15:56.000Z | 2022-02-24T18:15:56.000Z | venv/lib/python3.8/site-packages/ansible_collections/community/general/plugins/modules/remote_management/redfish/ilo_redfish_info.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/ansible_collections/community/general/plugins/modules/remote_management/redfish/ilo_redfish_info.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (c) 2021-2022 Hewlett Packard Enterprise, Inc. All rights reserved.
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = ''... | 31.433155 | 104 | 0.586764 |
2ac69b5d4714157fc71eff7a6a23f99b61269132 | 8,407 | py | Python | train/solver.py | nhonth/DeLF-pytorch | 5577a447a0330b9e976cff56a10fc91669216b8c | [
"MIT"
] | 315 | 2019-01-28T05:45:25.000Z | 2022-03-28T07:58:13.000Z | train/solver.py | nhonth/DeLF-pytorch | 5577a447a0330b9e976cff56a10fc91669216b8c | [
"MIT"
] | 38 | 2019-02-21T06:17:00.000Z | 2021-07-05T12:40:00.000Z | train/solver.py | nhonth/DeLF-pytorch | 5577a447a0330b9e976cff56a10fc91669216b8c | [
"MIT"
] | 74 | 2019-01-28T08:08:10.000Z | 2021-12-20T09:27:03.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
PyTorch Implementation of training DeLF feature.
Solver for step 1 (finetune local descriptor)
nashory, 2018.04
'''
import os, sys, time
import shutil
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from utils import... | 36.872807 | 102 | 0.512906 |
2ac6f82afb425514d16cfc4ba1244d63a2476877 | 13,248 | py | Python | models/p2pnet.py | mfatiho/CrowdCounting-P2PNet | b89ecf9b374bee8973c331bb44b99611152cd3ac | [
"BSD-3-Clause"
] | 89 | 2021-08-09T12:51:34.000Z | 2022-03-25T09:06:40.000Z | models/p2pnet.py | FeiGeChuanShu/CrowdCounting-P2PNet | a7c5a9546d0b5be16367db393fbbd81427c11b82 | [
"BSD-3-Clause"
] | 24 | 2021-08-16T09:17:38.000Z | 2022-03-30T08:29:02.000Z | models/p2pnet.py | FeiGeChuanShu/CrowdCounting-P2PNet | a7c5a9546d0b5be16367db393fbbd81427c11b82 | [
"BSD-3-Clause"
] | 25 | 2021-08-12T09:37:30.000Z | 2022-03-18T07:46:17.000Z | import torch
import torch.nn.functional as F
from torch import nn
from util.misc import (NestedTensor, nested_tensor_from_tensor_list,
accuracy, get_world_size, interpolate,
is_dist_avail_and_initialized)
from .backbone import build_backbone
from .matcher import build_mat... | 38.736842 | 113 | 0.648551 |
2ac6fe1fc438d094fff91a6578a469fe05245d15 | 7,110 | py | Python | visualize_fullscene.py | ronhlee/retinanet_ATR | 32b043850abdd19bb142a88e2f2e16179aea4ff7 | [
"Apache-2.0"
] | 1 | 2020-09-20T03:07:02.000Z | 2020-09-20T03:07:02.000Z | visualize_fullscene.py | ronhlee/retinanet_ATR | 32b043850abdd19bb142a88e2f2e16179aea4ff7 | [
"Apache-2.0"
] | null | null | null | visualize_fullscene.py | ronhlee/retinanet_ATR | 32b043850abdd19bb142a88e2f2e16179aea4ff7 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torchvision
import os
import argparse
import warnings
warnings.filterwarnings('ignore')
from PIL import Image, ImageDraw
import torch
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, models, transforms
import torchvision.ops
from retinanet.dataloader import CS... | 47.4 | 115 | 0.598312 |
2ac870289e4a135beaad406a435f626a1f8fb78e | 518 | py | Python | data_sqlalchemy/word.py | natter1/estonian_learner | da7837f0d64f4c1f6a212a9c473252c4b834699a | [
"MIT"
] | null | null | null | data_sqlalchemy/word.py | natter1/estonian_learner | da7837f0d64f4c1f6a212a9c473252c4b834699a | [
"MIT"
] | null | null | null | data_sqlalchemy/word.py | natter1/estonian_learner | da7837f0d64f4c1f6a212a9c473252c4b834699a | [
"MIT"
] | null | null | null | import datetime
from data_sqlalchemy.modelbase import SqlAlchemyBase
import sqlalchemy as sa
| 32.375 | 84 | 0.727799 |
2acb0f83d07a4c5d2b9efe4b3bc5c3cf86acc90c | 9,023 | py | Python | nodes/BASE/socket_type.py | nwtajcky/RenderStackNode | 31516af6fa8572c9d6ee3df017e59cae394047a3 | [
"Apache-2.0"
] | null | null | null | nodes/BASE/socket_type.py | nwtajcky/RenderStackNode | 31516af6fa8572c9d6ee3df017e59cae394047a3 | [
"Apache-2.0"
] | 1 | 2021-12-27T06:39:08.000Z | 2021-12-27T06:39:08.000Z | nodes/BASE/socket_type.py | nwtajcky/RenderStackNode | 31516af6fa8572c9d6ee3df017e59cae394047a3 | [
"Apache-2.0"
] | null | null | null | import bpy
from bpy.props import *
from ...preferences import get_pref
# Vector and Subtype
####################
# Object and subtype
##################
def poll_camera(self, object):
return object.type == 'CAMERA'
# other pointer property
###############
### old types ###
#################
... | 27.259819 | 109 | 0.657653 |
2acb3aee2e0f5e506188c20bf399d1690f3f87a1 | 35 | py | Python | webapp/journal_plugins/example_plugin/models.py | TheCDC/journal_app | 18c84acfc7b996329d34c3bdd54348cdfdd55252 | [
"MIT"
] | 2 | 2018-03-08T16:21:45.000Z | 2018-10-22T02:13:22.000Z | webapp/journal_plugins/example_plugin/models.py | TheCDC/journal_app | 18c84acfc7b996329d34c3bdd54348cdfdd55252 | [
"MIT"
] | 3 | 2018-05-25T04:21:09.000Z | 2020-02-10T00:46:37.000Z | webapp/journal_plugins/example_plugin/models.py | TheCDC/journal_app | 18c84acfc7b996329d34c3bdd54348cdfdd55252 | [
"MIT"
] | null | null | null | from webapp.extensions import db
| 8.75 | 32 | 0.8 |
2acb92b4e54de96f237951644e26af0eb47db325 | 5,823 | py | Python | Unsupervised/autoencoder/evaluate_model.py | darshil0193/CSC-522---Object-Recognition | f357e6fd3cd69e7335bc25d55eb57b9b5b4e5d88 | [
"MIT"
] | null | null | null | Unsupervised/autoencoder/evaluate_model.py | darshil0193/CSC-522---Object-Recognition | f357e6fd3cd69e7335bc25d55eb57b9b5b4e5d88 | [
"MIT"
] | null | null | null | Unsupervised/autoencoder/evaluate_model.py | darshil0193/CSC-522---Object-Recognition | f357e6fd3cd69e7335bc25d55eb57b9b5b4e5d88 | [
"MIT"
] | 1 | 2018-12-27T21:56:13.000Z | 2018-12-27T21:56:13.000Z | from keras.models import load_model
import numpy as np
import pandas as pd
from keras.preprocessing.image import ImageDataGenerator
from sklearn.cluster import KMeans
from time import time
# Takes a pandas dataframe containing the cluster assignment and ground truth for each data point
# and returns the purity of the ... | 35.944444 | 115 | 0.670273 |