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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2bfc4f790355a7817532bd5b978db33d27b1e506 | 2,269 | py | Python | grapaold/layerfiles/gcomgraphcutter.py | psorus/grapa | 6af343bb35c466c971ded1876e7a9d00e77cef00 | [
"MIT"
] | null | null | null | grapaold/layerfiles/gcomgraphcutter.py | psorus/grapa | 6af343bb35c466c971ded1876e7a9d00e77cef00 | [
"MIT"
] | null | null | null | grapaold/layerfiles/gcomgraphcutter.py | psorus/grapa | 6af343bb35c466c971ded1876e7a9d00e77cef00 | [
"MIT"
] | null | null | null | import numpy as np
import math
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer,Dense, Activation
import tensorflow.keras as keras# as k
import tensorflow as t
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam,SGD
from tensorflow.linalg impor... | 21.205607 | 185 | 0.633759 | 1,922 | 0.847069 | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 0.273248 |
2bfd2325a2d75def166622b037138785dc2ae620 | 1,778 | py | Python | extract_feature.py | Doarakko/baseball-and-football-face-classification | 53e1ff21918aab1b9b881c2dae4473e6bb1194a8 | [
"MIT"
] | null | null | null | extract_feature.py | Doarakko/baseball-and-football-face-classification | 53e1ff21918aab1b9b881c2dae4473e6bb1194a8 | [
"MIT"
] | null | null | null | extract_feature.py | Doarakko/baseball-and-football-face-classification | 53e1ff21918aab1b9b881c2dae4473e6bb1194a8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import glob
import re
import os
import numpy as np
from keras.engine import Model
from keras.preprocessing.image import img_to_array, load_img
from keras.utils import plot_model
from keras_vggface.vggface import VGGFace
from keras_vggface import utils
layer_list = ['flatten', 'fc6', 'fc6/relu',... | 35.56 | 125 | 0.662542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 0.22043 |
9201694101813be0a08afb3b5067429915a5f7d8 | 9,662 | py | Python | PyRNN/rnn-train.py | theThing92/rub-met21 | 9d3d2e128a458aeb682548f1f207ee7491ca83a3 | [
"MIT"
] | null | null | null | PyRNN/rnn-train.py | theThing92/rub-met21 | 9d3d2e128a458aeb682548f1f207ee7491ca83a3 | [
"MIT"
] | null | null | null | PyRNN/rnn-train.py | theThing92/rub-met21 | 9d3d2e128a458aeb682548f1f207ee7491ca83a3 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
import argparse
import random
import operator
import pickle
import torch
from torch.optim.lr_scheduler import StepLR
sys.path.insert(0,'.')
from PyRNN.Data import Data
from PyRNN.RNNTagger import RNNTagger
from PyRNN.CRFTagger import CRFTagger
def build_optimizer(optim, model, learning... | 39.92562 | 95 | 0.608466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,482 | 0.256883 |
92021bdc8a0aac4c752b56a0953aac9dec06b2cf | 4,281 | py | Python | tests/integrated/test_advertising_duration.py | teeheee/blatann | f8a75e68cd9d46b83d10482c5349842433dfa490 | [
"BSD-3-Clause"
] | 40 | 2018-03-01T19:49:20.000Z | 2022-03-31T11:35:06.000Z | tests/integrated/test_advertising_duration.py | teeheee/blatann | f8a75e68cd9d46b83d10482c5349842433dfa490 | [
"BSD-3-Clause"
] | 29 | 2019-03-12T18:29:57.000Z | 2022-03-30T04:21:22.000Z | tests/integrated/test_advertising_duration.py | teeheee/blatann | f8a75e68cd9d46b83d10482c5349842433dfa490 | [
"BSD-3-Clause"
] | 17 | 2019-03-27T19:11:12.000Z | 2022-03-16T06:00:08.000Z | import threading
import unittest
from blatann.gap.advertise_data import AdvertisingData, AdvertisingFlags
from blatann.gap.advertising import AdvertisingMode
from blatann.gap.scanning import ScanReport, Scanner
from blatann.utils import Stopwatch
from tests.integrated.base import BlatannTestCase, TestParams, ... | 40.386792 | 114 | 0.677412 | 3,685 | 0.86078 | 0 | 0 | 2,080 | 0.485868 | 0 | 0 | 341 | 0.079654 |
9202c623dbd158b2b50431053b72ebb94e3aa74e | 1,892 | py | Python | src/ngsildclient/__init__.py | Orange-OpenSource/python-ngsild-client | 23ff31506aabd23c75befece1fb3d4536903cb2a | [
"Apache-2.0"
] | 7 | 2022-02-25T09:55:28.000Z | 2022-03-25T20:48:01.000Z | src/ngsildclient/__init__.py | Orange-OpenSource/python-ngsild-client | 23ff31506aabd23c75befece1fb3d4536903cb2a | [
"Apache-2.0"
] | null | null | null | src/ngsildclient/__init__.py | Orange-OpenSource/python-ngsild-client | 23ff31506aabd23c75befece1fb3d4536903cb2a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Software Name: ngsildclient
# SPDX-FileCopyrightText: Copyright (c) 2021 Orange
# SPDX-License-Identifier: Apache 2.0
#
# This software is distributed under the Apache 2.0;
# see the NOTICE file for more details.
#
# Author: Fabien BATTELLO <fabien.battello@orange.com> et al.
import http.clie... | 22.258824 | 88 | 0.717759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 0.364693 |
9205e60845af979d57cfab6fce5c83182fed94a4 | 3,513 | py | Python | tests/test_gosubdag_children.py | flying-sheep/goatools | 1e3a74faa17cbdeef02550c7ddf17b65cf47d34a | [
"BSD-2-Clause"
] | 477 | 2015-02-10T06:54:42.000Z | 2022-03-15T12:36:11.000Z | tests/test_gosubdag_children.py | flying-sheep/goatools | 1e3a74faa17cbdeef02550c7ddf17b65cf47d34a | [
"BSD-2-Clause"
] | 174 | 2015-02-05T18:11:14.000Z | 2022-03-29T10:24:19.000Z | tests/test_gosubdag_children.py | flying-sheep/goatools | 1e3a74faa17cbdeef02550c7ddf17b65cf47d34a | [
"BSD-2-Clause"
] | 202 | 2015-01-21T12:29:23.000Z | 2022-03-01T13:26:05.000Z | #!/usr/bin/env python
"""Test creation of GoSubDag's rcntobj data member."""
from __future__ import print_function
__copyright__ = "Copyright (C) 2016-2018, DV Klopfenstein, H Tang. All rights reserved."
__author__ = "DV Klopfenstein"
import os
from goatools.base import get_godag
from goatools.gosubdag.gosubdag impo... | 43.37037 | 97 | 0.565329 | 1,228 | 0.349559 | 0 | 0 | 0 | 0 | 0 | 0 | 1,375 | 0.391403 |
9206913a1d8d9352764326bb25d5c5ac08420277 | 86 | py | Python | pyrosetta_help/chain_ops/__init__.py | matteoferla/pyrosetta_help | 6ef96455dfd389b2a8bbccfc81159737430878b9 | [
"MIT"
] | 7 | 2021-04-28T14:09:30.000Z | 2022-02-14T04:41:49.000Z | pyrosetta_help/chain_ops/__init__.py | matteoferla/pyrosetta_help | 6ef96455dfd389b2a8bbccfc81159737430878b9 | [
"MIT"
] | null | null | null | pyrosetta_help/chain_ops/__init__.py | matteoferla/pyrosetta_help | 6ef96455dfd389b2a8bbccfc81159737430878b9 | [
"MIT"
] | 3 | 2021-09-14T14:05:47.000Z | 2022-01-25T22:50:19.000Z | from .chain_ops import ChainOps
from .transmogrifier import Transmogrifier, Murinizer
| 28.666667 | 53 | 0.860465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
92071f8e67600ce7e492cbb22dfc9e21581246f3 | 5,078 | py | Python | lib_ddos_simulator/old/api/api.py | jfuruness/lib_ddos_simulator | 2d860fd3f35f4c25262f5269251eed89975f95e8 | [
"BSD-4-Clause"
] | 1 | 2020-04-01T22:42:36.000Z | 2020-04-01T22:42:36.000Z | lib_ddos_simulator/old/api/api.py | jfuruness/lib_ddos_simulator | 2d860fd3f35f4c25262f5269251eed89975f95e8 | [
"BSD-4-Clause"
] | null | null | null | lib_ddos_simulator/old/api/api.py | jfuruness/lib_ddos_simulator | 2d860fd3f35f4c25262f5269251eed89975f95e8 | [
"BSD-4-Clause"
] | 1 | 2020-02-16T17:55:46.000Z | 2020-02-16T17:55:46.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""This module creates the flask app to shuffle users
App must be here because flask explodes if you move to subdir"""
__Lisence__ = "BSD"
__maintainer__ = "Justin Furuness"
__email__ = "jfuruness@gmail.com"
__status__ = "Development"
import pkg_resources
from flasgge... | 32.551282 | 97 | 0.60575 | 0 | 0 | 0 | 0 | 3,307 | 0.651241 | 0 | 0 | 1,956 | 0.385191 |
9207e392d5244627558a7eff04b6d9be4add7394 | 2,882 | py | Python | src/controllers/MPCController.py | MatthiasDR96/inverted_pendulum_simulator | c13314b625445c13a4225b88480e2bed772fe466 | [
"MIT"
] | null | null | null | src/controllers/MPCController.py | MatthiasDR96/inverted_pendulum_simulator | c13314b625445c13a4225b88480e2bed772fe466 | [
"MIT"
] | null | null | null | src/controllers/MPCController.py | MatthiasDR96/inverted_pendulum_simulator | c13314b625445c13a4225b88480e2bed772fe466 | [
"MIT"
] | null | null | null | import cvxpy
import numpy as np
class Control:
def __init__(self, model):
# Bind model
self.model = model
# Desired x_pos
self.xd = 0.0
# Control parameters
self.N = 100
# Control limits
self.umax = np.reshape... | 32.382022 | 118 | 0.497224 | 2,847 | 0.987856 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.133241 |
920816e07c5759417fa72229f7b01ce5c519d585 | 1,466 | py | Python | setup.py | koning/maestrowf | 290b6780ab0c95c2b0927663551f1f91e879f8d4 | [
"MIT"
] | null | null | null | setup.py | koning/maestrowf | 290b6780ab0c95c2b0927663551f1f91e879f8d4 | [
"MIT"
] | null | null | null | setup.py | koning/maestrowf | 290b6780ab0c95c2b0927663551f1f91e879f8d4 | [
"MIT"
] | null | null | null | from maestrowf import __version__
from setuptools import setup, find_packages
setup(
name='maestrowf',
description='A tool to easily orchestrate general computational workflows '
'both locally and on supercomputers.',
version=__version__,
author='Francesco Di Natale',
maintainer='Francesco Di Natale',
au... | 30.541667 | 77 | 0.653479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 933 | 0.636426 |
9208f7346cadc419a62a686dd5dba387c6a93c38 | 8,531 | py | Python | examples/seq2seq/penman_denoising.py | ahoho/transformers | 366c305e5d4d122b47dd7a0a5e5e481e18e0a6ff | [
"Apache-2.0"
] | null | null | null | examples/seq2seq/penman_denoising.py | ahoho/transformers | 366c305e5d4d122b47dd7a0a5e5e481e18e0a6ff | [
"Apache-2.0"
] | null | null | null | examples/seq2seq/penman_denoising.py | ahoho/transformers | 366c305e5d4d122b47dd7a0a5e5e481e18e0a6ff | [
"Apache-2.0"
] | null | null | null | AMR_SOURCES = [
"(w / want-01 :ARG0 (b / boy) :ARG1 (g / go-01 :ARG0 b))"
]
AMR_TARGETS = [
"The boy wants to go."
]
AMR_NOISED = {
"convert-to-triples": {
"src": "order Graph: ( want :ARG0 ( boy ) :ARG1 ( go :ARG0 boy ) )",
"tgt": "<t> want :ARG0 boy <t> want :ARG1 go <t> go :ARG0 boy"
},
"generate-fr... | 39.133028 | 94 | 0.563006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,424 | 0.870238 |
9209ca7291bc3b16a02b7dd17d6abd0239412d5d | 674 | py | Python | meiduo_mall/apps/meiduo_admin/views/group.py | Vent-Any/meiduo_mall_cangku | 5b3b7f029be267cb5d2d3666f99be166d27213f1 | [
"MIT"
] | null | null | null | meiduo_mall/apps/meiduo_admin/views/group.py | Vent-Any/meiduo_mall_cangku | 5b3b7f029be267cb5d2d3666f99be166d27213f1 | [
"MIT"
] | null | null | null | meiduo_mall/apps/meiduo_admin/views/group.py | Vent-Any/meiduo_mall_cangku | 5b3b7f029be267cb5d2d3666f99be166d27213f1 | [
"MIT"
] | null | null | null |
######################################用户组######################################
from rest_framework.generics import ListAPIView
from rest_framework.viewsets import ModelViewSet
from django.contrib.auth.models import Group, Permission
from apps.meiduo_admin.utils import PageNumber
from apps.meiduo_admin.serializer.gro... | 33.7 | 99 | 0.746291 | 285 | 0.419118 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.125 |
920a0f56b7d98522ca08ddd15424f5561358eed0 | 5,211 | py | Python | aclpwn/pathfinding.py | aas-n/aclpwn.py | b447f20b2b2ea0905e6430f6e6bb85237f13e23f | [
"MIT"
] | 5 | 2021-05-18T21:25:46.000Z | 2022-03-09T05:09:32.000Z | aclpwn/pathfinding.py | aas-n/aclpwn.py | b447f20b2b2ea0905e6430f6e6bb85237f13e23f | [
"MIT"
] | null | null | null | aclpwn/pathfinding.py | aas-n/aclpwn.py | b447f20b2b2ea0905e6430f6e6bb85237f13e23f | [
"MIT"
] | null | null | null | from aclpwn import utils, database
# Cost map for relationships
costmap = {
'MemberOf': 0,
'AddMember': 1,
'GenericAll': 1,
'GenericWrite': 1,
'WriteOwner': 3,
'WriteDacl': 2,
'DCSync': 0,
'Owns': 2,
'GetChangesAll': 0,
'GetChanges': 0,
'AllExtendedRights': 2
}
def dijkst... | 39.778626 | 133 | 0.573211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,083 | 0.399731 |
920a9793f168d206e013f7bbb71c589069f6db3f | 6,343 | py | Python | src/data/load_data_from_text.py | dsridhar91/hstm | af943b3f34e443f6fda8115b300fc828ba2ff6ba | [
"MIT"
] | null | null | null | src/data/load_data_from_text.py | dsridhar91/hstm | af943b3f34e443f6fda8115b300fc828ba2ff6ba | [
"MIT"
] | null | null | null | src/data/load_data_from_text.py | dsridhar91/hstm | af943b3f34e443f6fda8115b300fc828ba2ff6ba | [
"MIT"
] | null | null | null | import os
import json
import numpy as np
import pandas as pd
import gzip
import argparse
from collections import Counter
def load_mixed_corpus():
grocery_file = '../dat/reviews_Grocery_and_Gourmet_Food_5.json'
office_file = '../dat/reviews_Office_Products_5.json'
doc_groc, _ = load_amazon(grocery_file, 5000, 'revi... | 29.640187 | 88 | 0.702034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,082 | 0.170582 |
920dc979bbbe3c3f4d049b066bb2c9d6cdf12abd | 2,396 | py | Python | app/crud/address.py | oscarine/oscarine-api | ed4760724e42ac13aeaa3a566d19bf31113c9b8f | [
"MIT"
] | 7 | 2019-09-18T19:45:46.000Z | 2020-05-18T20:07:07.000Z | app/crud/address.py | oscarine/oscarine-api | ed4760724e42ac13aeaa3a566d19bf31113c9b8f | [
"MIT"
] | 252 | 2019-09-18T20:25:03.000Z | 2022-03-25T11:23:50.000Z | app/crud/address.py | oscarine/oscarine-api | ed4760724e42ac13aeaa3a566d19bf31113c9b8f | [
"MIT"
] | 8 | 2019-09-18T11:02:45.000Z | 2021-05-18T17:08:51.000Z | from datetime import datetime
from typing import List
from fastapi.encoders import jsonable_encoder
from sqlalchemy.orm import Session
from app.api.utils.db import clone_db_model
from app.db_models.address import Address
from app.models.address import EditAddress, UserAddress
def add_user_address(
db_session: S... | 32.378378 | 88 | 0.707429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 0.09015 |
920dd0484a64f720a0513aad802820f70a897dcc | 2,493 | py | Python | Python/examples/AdvancedSpecificMultipleInstruments.py | william-richards-idexx/fgt-SDK | 674b572c714302be561b08ba63ff3358dfa13cea | [
"Apache-2.0"
] | 20 | 2019-05-21T17:43:07.000Z | 2022-03-22T16:38:59.000Z | Python/examples/AdvancedSpecificMultipleInstruments.py | william-richards-idexx/fgt-SDK | 674b572c714302be561b08ba63ff3358dfa13cea | [
"Apache-2.0"
] | 28 | 2019-05-21T17:36:24.000Z | 2022-03-21T07:21:51.000Z | Python/examples/AdvancedSpecificMultipleInstruments.py | william-richards-idexx/fgt-SDK | 674b572c714302be561b08ba63ff3358dfa13cea | [
"Apache-2.0"
] | 7 | 2020-09-18T23:47:25.000Z | 2022-03-03T09:36:48.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Advanced Specific Multiple Instruments
This example shows how to use specific channels ID and multiple connected
instruments
Requires at least two Fluigent pressure channels
Copyright (c) Fluigent 2019. All Rights Reserved.
"""
# Print function for Python 2 compatibi... | 35.112676 | 96 | 0.765744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,320 | 0.529483 |
9213947a6c459942a56f0c3d98a57e842bc0d8f6 | 875 | py | Python | _scripts/one-time/makeDecosNonCampaign.py | Son-Guhun/Titan-Land-Lands-of-Plenty | edeca1d5437a7397195799ebf4b9585ee4609fed | [
"MIT"
] | 12 | 2019-05-27T16:02:28.000Z | 2021-01-08T09:32:08.000Z | _scripts/one-time/makeDecosNonCampaign.py | Son-Guhun/Titan-Land-Lands-of-Plenty | edeca1d5437a7397195799ebf4b9585ee4609fed | [
"MIT"
] | 209 | 2019-04-06T15:16:52.000Z | 2021-07-03T02:11:53.000Z | _scripts/one-time/makeDecosNonCampaign.py | Son-Guhun/Titan-Land-Lands-of-Plenty | edeca1d5437a7397195799ebf4b9585ee4609fed | [
"MIT"
] | 1 | 2021-05-26T12:13:35.000Z | 2021-05-26T12:13:35.000Z | """This script iterates over all decorations in a .ini database and set their Specialart field
to the format expected by the SpecialEffect system.
"""
from myconfigparser import MyConfigParser, load_unit_data, get_decorations, Section
dataBase = '../development/table/unit.ini'
def configure_decorations(unit_data, dec... | 33.653846 | 95 | 0.668571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.293714 |
9215145b51d72c2317cfa268d80567e333b4f845 | 7,906 | py | Python | forml/testing/_spec.py | formlio/forml | fd070da74a0107e37c0c643dd8df8680618fef74 | [
"Apache-2.0"
] | 78 | 2020-11-04T18:27:20.000Z | 2022-02-07T03:32:53.000Z | forml/testing/_spec.py | formlio/forml | fd070da74a0107e37c0c643dd8df8680618fef74 | [
"Apache-2.0"
] | 3 | 2020-11-05T20:42:15.000Z | 2021-01-13T19:57:01.000Z | forml/testing/_spec.py | formlio/forml | fd070da74a0107e37c0c643dd8df8680618fef74 | [
"Apache-2.0"
] | 7 | 2020-11-18T17:18:15.000Z | 2021-03-24T05:14:29.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.612613 | 114 | 0.634834 | 6,976 | 0.882368 | 0 | 0 | 1,866 | 0.236023 | 0 | 0 | 2,551 | 0.322666 |
92162c36211ae5a295d2c5d9300ea4a55a55b0d5 | 4,135 | py | Python | gradient/cli/tensorboards.py | vishalbelsare/gradient-cli | c0e06252925cad3ad73d47ded1100f6b0cb0989a | [
"0BSD"
] | 52 | 2019-06-10T04:20:00.000Z | 2021-12-06T01:13:26.000Z | gradient/cli/tensorboards.py | vishalbelsare/gradient-cli | c0e06252925cad3ad73d47ded1100f6b0cb0989a | [
"0BSD"
] | 125 | 2019-06-05T16:34:19.000Z | 2022-03-30T18:46:06.000Z | gradient/cli/tensorboards.py | vishalbelsare/gradient-cli | c0e06252925cad3ad73d47ded1100f6b0cb0989a | [
"0BSD"
] | 11 | 2019-07-16T06:48:55.000Z | 2021-12-15T12:41:51.000Z | import click
from gradient.cli import common
from gradient.cli.cli import cli
from gradient.commands import tensorboards as tensorboards_commands
@cli.group("tensorboards", help="Manage tensorboards", cls=common.ClickGroup)
def tensorboards_group():
pass
@tensorboards_group.command("create", help="Create new t... | 26.677419 | 91 | 0.712696 | 0 | 0 | 0 | 0 | 3,967 | 0.959371 | 0 | 0 | 1,372 | 0.331802 |
921710fe148b77c5af4c4630e1aea73b68d40f82 | 5,430 | py | Python | src/selena/services/sla.py | deejay1/selena | 16189ee57c8197ab4375727ef8a905d4f4561eb7 | [
"Apache-2.0"
] | 23 | 2015-01-10T18:17:58.000Z | 2021-12-21T03:01:38.000Z | src/selena/services/sla.py | deejay1/selena | 16189ee57c8197ab4375727ef8a905d4f4561eb7 | [
"Apache-2.0"
] | 20 | 2015-01-10T14:05:42.000Z | 2016-08-09T07:48:50.000Z | src/selena/services/sla.py | deejay1/selena | 16189ee57c8197ab4375727ef8a905d4f4561eb7 | [
"Apache-2.0"
] | 3 | 2015-01-10T18:27:30.000Z | 2020-04-07T16:17:43.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from django.db.models.aggregates import Min
from services.models import (Service, SlaDaily, SlaCache, ServiceHistory)
from ... | 37.448276 | 123 | 0.688029 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,127 | 0.207551 |
921773c4798d3591783c0a5548229dc9969cad46 | 521 | py | Python | flask_resources/deserializers/json.py | fenekku/flask-resources | 47a6672a771b7c209199a2613ae6da9d96a70a5b | [
"MIT"
] | null | null | null | flask_resources/deserializers/json.py | fenekku/flask-resources | 47a6672a771b7c209199a2613ae6da9d96a70a5b | [
"MIT"
] | null | null | null | flask_resources/deserializers/json.py | fenekku/flask-resources | 47a6672a771b7c209199a2613ae6da9d96a70a5b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# Flask-Resources is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""JSON Deserializer."""
import json
from .deserializers import DeserializerMixin
class JSONDeserializer(Deser... | 24.809524 | 76 | 0.696737 | 228 | 0.43762 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.558541 |
921793e6129c6314d6f7c5cb0bd9274856e44cb1 | 2,960 | py | Python | examples/fashion_mnist_example.py | saugatkandel/cvnn | f6d7b5c17fd064a7eaa60e7af922914a974eb69a | [
"MIT"
] | 38 | 2020-09-16T14:47:36.000Z | 2022-03-30T13:35:05.000Z | examples/fashion_mnist_example.py | saugatkandel/cvnn | f6d7b5c17fd064a7eaa60e7af922914a974eb69a | [
"MIT"
] | 25 | 2020-10-03T19:30:16.000Z | 2022-03-29T15:24:44.000Z | examples/fashion_mnist_example.py | saugatkandel/cvnn | f6d7b5c17fd064a7eaa60e7af922914a974eb69a | [
"MIT"
] | 9 | 2021-01-18T10:48:57.000Z | 2022-02-11T10:34:52.000Z | # TensorFlow and tf.keras
import tensorflow as tf
# Helper libraries
import numpy as np
import matplotlib.pyplot as plt
from cvnn import layers
print(tf.__version__)
def get_fashion_mnist_dataset():
fashion_mnist = tf.keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = fas... | 43.529412 | 119 | 0.714865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.143581 |
9217f064843ea0309f5a6b856cd5967dad7c5477 | 47 | py | Python | tensorkit/backend/pytorch_/__init__.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | null | null | null | tensorkit/backend/pytorch_/__init__.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | null | null | null | tensorkit/backend/pytorch_/__init__.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | 2 | 2020-10-15T06:41:32.000Z | 2021-01-27T12:55:11.000Z | from . import _version_check
name = 'PyTorch'
| 11.75 | 28 | 0.744681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.191489 |
9218ab83d1d2ee572df4715f9f7a93fe6c1991f0 | 1,905 | py | Python | ms2ldaviz/migrate_decomp_db.py | sdrogers/ms2ldaviz | ba311bc80891da595d2d6cef4abda95ab583c201 | [
"MIT"
] | 6 | 2017-10-27T02:37:55.000Z | 2020-11-07T15:43:57.000Z | ms2ldaviz/migrate_decomp_db.py | sdrogers/ms2ldaviz | ba311bc80891da595d2d6cef4abda95ab583c201 | [
"MIT"
] | 134 | 2016-07-20T08:35:34.000Z | 2020-07-22T13:51:49.000Z | ms2ldaviz/migrate_decomp_db.py | sdrogers/ms2ldaviz | ba311bc80891da595d2d6cef4abda95ab583c201 | [
"MIT"
] | 9 | 2016-07-19T15:39:27.000Z | 2020-02-11T16:13:14.000Z | import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "ms2ldaviz.settings_simon")
import django
django.setup()
from basicviz.models import Experiment,Document
from decomposition.models import FeatureSet,MotifSet,GlobalMotif,GlobalMotifsToSets,Decomposition,DocumentGlobalMass2Motif
if __name__ == '__main__':
# f... | 30.238095 | 122 | 0.746457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 0.249344 |
9219011cb4da371cd24e2b86c75ee95c35d59f2f | 1,133 | py | Python | strings.py | frizensami/sg-blood-stocks-bot | 7783399330dcdf04870be85d004323a5c516a29a | [
"MIT"
] | 1 | 2022-01-25T02:54:31.000Z | 2022-01-25T02:54:31.000Z | strings.py | frizensami/sg-blood-stocks-bot | 7783399330dcdf04870be85d004323a5c516a29a | [
"MIT"
] | 4 | 2021-06-07T12:19:32.000Z | 2021-06-09T05:02:36.000Z | strings.py | frizensami/sgbloodstocksbot | 7783399330dcdf04870be85d004323a5c516a29a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
HELLO_MSG = """Welcome to the SG Blood Stocks Bot!
We update you on the blood stock levels of the Singapore Red Cross.
You can subscribe (/subscribe) to updates for specific blood types so you know when to donate.
You can check for the latest change (/changes) in blood stock levels over the p... | 29.815789 | 118 | 0.739629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,049 | 0.920175 |
921ae232934b3615fdba27bd605f3a627db67ede | 1,064 | py | Python | challenges/2021/06-lanternfish/py/__init__.py | codemicro/adventOfCode | 53574532ece1d19e5f5ba2f39e8e183c4c6225a1 | [
"MIT"
] | 9 | 2020-12-06T23:18:30.000Z | 2021-12-19T22:31:26.000Z | challenges/2021/06-lanternfish/py/__init__.py | codemicro/adventOfCode | 53574532ece1d19e5f5ba2f39e8e183c4c6225a1 | [
"MIT"
] | null | null | null | challenges/2021/06-lanternfish/py/__init__.py | codemicro/adventOfCode | 53574532ece1d19e5f5ba2f39e8e183c4c6225a1 | [
"MIT"
] | 3 | 2020-12-08T09:45:44.000Z | 2020-12-15T19:20:20.000Z | from typing import List, Dict
from aocpy import BaseChallenge
def parse(instr: str) -> List[int]:
return list(map(int, instr.strip().split(",")))
def count_fish_by_timer(all_fish: List[int]) -> Dict[int, int]:
m = {}
for fish in all_fish:
m[fish] = m.get(fish, 0) + 1
return m
def iterate_f... | 23.644444 | 63 | 0.608083 | 279 | 0.262218 | 0 | 0 | 237 | 0.222744 | 0 | 0 | 31 | 0.029135 |
921b26719ef6dd1872a88554745a7cfee94c9fe4 | 633 | py | Python | qmspy/__init__.py | Cavenfish/qmspy | 4ac6191b22d606ce007b5fb7b75a3c0734b41a70 | [
"MIT"
] | null | null | null | qmspy/__init__.py | Cavenfish/qmspy | 4ac6191b22d606ce007b5fb7b75a3c0734b41a70 | [
"MIT"
] | null | null | null | qmspy/__init__.py | Cavenfish/qmspy | 4ac6191b22d606ce007b5fb7b75a3c0734b41a70 | [
"MIT"
] | null | null | null | """
This is the qmspy module, a python module designed to automate graphing data
collected from a QMS.
Contains the following functions:
init_data
add_style
fit_gaussians
appearance_energy
Contains the following submodules:
graph_data
A... | 24.346154 | 76 | 0.657188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 347 | 0.548183 |
ecf5d119b411d7111d5a7caa7e25f9e59783661e | 284 | py | Python | pymagicc/errors.py | gabriel-abrahao/pymagicc | c9bdd610f97aa832dd879796aa6b9bfe11fa0f07 | [
"BSD-3-Clause"
] | 25 | 2017-02-03T10:47:13.000Z | 2020-01-21T21:58:22.000Z | pymagicc/errors.py | gabriel-abrahao/pymagicc | c9bdd610f97aa832dd879796aa6b9bfe11fa0f07 | [
"BSD-3-Clause"
] | 248 | 2017-02-15T19:47:31.000Z | 2020-03-05T04:15:05.000Z | pymagicc/errors.py | gabriel-abrahao/pymagicc | c9bdd610f97aa832dd879796aa6b9bfe11fa0f07 | [
"BSD-3-Clause"
] | 8 | 2020-05-08T04:02:04.000Z | 2021-12-06T16:10:51.000Z | class NoReaderWriterError(ValueError):
"""Exception raised when a valid Reader or Writer could not be found for the file"""
pass
class InvalidTemporalResError(ValueError):
"""Exception raised when a file has a temporal resolution which cannot be processed"""
pass
| 25.818182 | 90 | 0.746479 | 280 | 0.985915 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.598592 |
ecf5d69ffbb4ac849872de070db13227e5f7d278 | 1,569 | py | Python | django_dhcp/urls.py | weijia/django-dhcp | 625c031f5b969d48e7ad15bca75c460ddad20a00 | [
"BSD-3-Clause"
] | 1 | 2016-12-24T21:00:03.000Z | 2016-12-24T21:00:03.000Z | django_dhcp/urls.py | weijia/django-dhcp | 625c031f5b969d48e7ad15bca75c460ddad20a00 | [
"BSD-3-Clause"
] | null | null | null | django_dhcp/urls.py | weijia/django-dhcp | 625c031f5b969d48e7ad15bca75c460ddad20a00 | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls import patterns, include, url
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse, reverse_lazy
from django.views.generic import ListView, DetailView, UpdateView, CreateView
from django_dhcp.models import NetworkNode
urlpatterns = patterns('',
... | 43.583333 | 87 | 0.511791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 0.149777 |
ecf61980cc4a49f01a13cbe72aad03439a423e46 | 2,073 | py | Python | backend/api/decapod_api/views/v1/__init__.py | angry-tony/ceph-lcm-decapod | 535944d3ee384c3a7c4af82f74041b0a7792433f | [
"Apache-2.0"
] | 41 | 2016-11-03T16:40:17.000Z | 2019-05-23T08:39:17.000Z | backend/api/decapod_api/views/v1/__init__.py | Mirantis/ceph-lcm | fad9bad0b94f2ef608362953583b10a54a841d24 | [
"Apache-2.0"
] | 30 | 2016-10-14T10:54:46.000Z | 2017-10-20T15:58:01.000Z | backend/api/decapod_api/views/v1/__init__.py | angry-tony/ceph-lcm-decapod | 535944d3ee384c3a7c4af82f74041b0a7792433f | [
"Apache-2.0"
] | 28 | 2016-09-17T01:17:36.000Z | 2019-07-05T03:32:54.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2016 Mirantis 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 ... | 35.741379 | 71 | 0.822962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 698 | 0.33671 |
ecf6c36593681a36f3dd9d09dc12399f3a5c1c70 | 8,604 | py | Python | alipay/aop/api/domain/SearchBrandBoxInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/SearchBrandBoxInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/SearchBrandBoxInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.BoxExclusiveBase import BoxExclusiveBase
from alipay.aop.api.domain.BoxOrderStatusInfo import BoxOrderStatusInfo
from alipay.aop.api.domain.BoxExclusiveKeyword import BoxExclusiveKe... | 35.553719 | 91 | 0.607508 | 8,125 | 0.944328 | 0 | 0 | 3,955 | 0.45967 | 0 | 0 | 904 | 0.105067 |
ecf7e96aed7bb38c108c65e6a088553ea5f5fcea | 4,921 | py | Python | dependencyinjection/internal/descriptors.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | dependencyinjection/internal/descriptors.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | dependencyinjection/internal/descriptors.py | Cologler/dependencyinjection-python | dc05c61571f10652d82929ebec4b255f109b840b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017~2999 - cologler <skyoflw@gmail.com>
# ----------
#
# ----------
from abc import abstractmethod
import inspect
from .common import LifeTime, IServiceProvider, IDescriptor, ICallSiteMaker
from .param_type_resolver import ParameterTypeResolver
from .err... | 36.183824 | 106 | 0.655151 | 4,428 | 0.899817 | 0 | 0 | 427 | 0.086771 | 0 | 0 | 378 | 0.076814 |
ecf8a661406818a230a4076d57178a508b0bd6f5 | 2,666 | py | Python | ilurl/core/ql/define.py | guilhermevarela/ilu | e4db9744c28f9e04ae82c884f131ee8cd9601cc8 | [
"MIT"
] | 2 | 2019-10-18T17:04:50.000Z | 2019-10-18T17:05:04.000Z | ilurl/core/ql/define.py | guilhermevarela/ilurl | e4db9744c28f9e04ae82c884f131ee8cd9601cc8 | [
"MIT"
] | 17 | 2019-11-20T09:33:50.000Z | 2020-01-30T14:57:40.000Z | ilurl/core/ql/define.py | gsavarela/ilurl | e4db9744c28f9e04ae82c884f131ee8cd9601cc8 | [
"MIT"
] | null | null | null | """The module helps define the q learning dictionary"""
__author__ = "Guilherme Varela"
__date__ = "2019-07-25"
from itertools import product as prod
def dpq_tls(state_rank, state_dim,
action_rank, action_dim, initial_value=0):
"""Prepares a dynamic programming Q-learning table
for a traffic ligh... | 24.685185 | 59 | 0.620405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,010 | 0.753938 |
ecf92f0deadf2f7bda487207ea9032532498f896 | 296 | py | Python | Company_Based_Questions/Geometry/Count_number_of_rectangles_in_a_circle.py | Satyam-Bhalla/Competitive-Coding | 5814f5f60572f1e76495efe751b94bf4d2845198 | [
"MIT"
] | 1 | 2021-12-09T10:36:48.000Z | 2021-12-09T10:36:48.000Z | Company_Based_Questions/Geometry/Count_number_of_rectangles_in_a_circle.py | Satyam-Bhalla/Competitive-Coding | 5814f5f60572f1e76495efe751b94bf4d2845198 | [
"MIT"
] | null | null | null | Company_Based_Questions/Geometry/Count_number_of_rectangles_in_a_circle.py | Satyam-Bhalla/Competitive-Coding | 5814f5f60572f1e76495efe751b94bf4d2845198 | [
"MIT"
] | null | null | null | def countRectangles(r):
d = 2*r
dSq = d*d
rectangles = 0
for i in range(1,d):
for j in range(1,d):
if i**2+j**2 <= dSq:
rectangles += 1
return rectangles
t = int(input())
for _ in range(t):
r = int(input())
print(countRectangles(r)) | 22.769231 | 32 | 0.510135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ecf99972906a2664b8eb3161b627de2250acc67f | 546 | py | Python | siteapp/models.py | cbidici/cbsite | 594e327ad0c0bfa5015461eb243176c3aec7b68d | [
"MIT"
] | null | null | null | siteapp/models.py | cbidici/cbsite | 594e327ad0c0bfa5015461eb243176c3aec7b68d | [
"MIT"
] | 1 | 2020-05-10T14:45:22.000Z | 2020-05-10T15:06:50.000Z | siteapp/models.py | cbidici/cbsite | 594e327ad0c0bfa5015461eb243176c3aec7b68d | [
"MIT"
] | null | null | null | from django.db import models
from slugify import slugify
class Tag(models.Model):
id = models.AutoField(primary_key=True)
slug = models.CharField(max_length=128, unique=True)
tag = models.CharField(max_length=128)
def save(self, force_insert=False, force_update=False):
self.slug = slugify(sel... | 23.73913 | 59 | 0.695971 | 483 | 0.884615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ecfb22412fbdd1ca40827fb6bcc73e85e6d1f7d3 | 392 | py | Python | file_rename_voc.py | GitEasonXu/Python_wheel | 52a495b4b90132d6980aeded099ff575f2ed58e4 | [
"MIT"
] | null | null | null | file_rename_voc.py | GitEasonXu/Python_wheel | 52a495b4b90132d6980aeded099ff575f2ed58e4 | [
"MIT"
] | null | null | null | file_rename_voc.py | GitEasonXu/Python_wheel | 52a495b4b90132d6980aeded099ff575f2ed58e4 | [
"MIT"
] | null | null | null | ##遍历指定path下所有文件，并将文件名d重命名为name
import os
path = './Image'
for (root,dirs,files) in os.walk(path) :
for item in files :
Olddir = os.path.join(root, item)
filename=os.path.split(Olddir)[0] #文件名
filetype=os.path.split(Olddir)[1][-4:] #文件扩展名
Newdir=os.path.join(path,str(coun... | 32.666667 | 62 | 0.609694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.230942 |
ecfe6cf1d1e3eb686af5893cb455fa42f77691d4 | 6,833 | py | Python | src/protocol_analysis/protocol_analysis.py | shelleyshuzhang/mon-iot-traffic-analysis | fb4cead55fed8163af5975ccf2ccea3c63b8c97a | [
"Apache-2.0"
] | 1 | 2020-10-18T07:56:47.000Z | 2020-10-18T07:56:47.000Z | src/protocol_analysis/protocol_analysis.py | shelleyshuzhang/mon-iot-traffic-analysis | fb4cead55fed8163af5975ccf2ccea3c63b8c97a | [
"Apache-2.0"
] | null | null | null | src/protocol_analysis/protocol_analysis.py | shelleyshuzhang/mon-iot-traffic-analysis | fb4cead55fed8163af5975ccf2ccea3c63b8c97a | [
"Apache-2.0"
] | null | null | null | import csv
import os
from multiprocessing import Manager
from multiprocessing import Process
####### must import the packet in scapy in order to see the results #######
from scapy import *
from scapy.layers import *
from scapy.layers.dns import *
from scapy.layers.inet import *
from scapy.utils import PcapReader
from... | 35.221649 | 103 | 0.536075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,181 | 0.172838 |
ecff03b69669e40823b94d33d2618c575448cad8 | 3,988 | py | Python | BayOptPy/tpot/notebooks/evaluate_results.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | 3 | 2020-04-09T16:53:54.000Z | 2020-04-21T16:49:52.000Z | BayOptPy/tpot/notebooks/evaluate_results.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | null | null | null | BayOptPy/tpot/notebooks/evaluate_results.py | Mind-the-Pineapple/tpot-age | 2969bfa6dc5c652d5b4f00f59e9b0b23869f6bef | [
"MIT"
] | null | null | null | '''
This scripts define functions that will be used by the different notebooks to
analyse the results
'''
import pandas as pd
from plotly import tools
import plotly.graph_objs as go
def predecessor_generation(results, curr_generation, verbose):
'''
Print the predecessor's generation for all the models in a spe... | 45.318182 | 121 | 0.614092 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,317 | 0.330158 |
a6018f719d55a7b7e6894dc15be94c1e0f710808 | 817 | py | Python | h/migrations/versions/77c2af032aca_add_document_uri_and_meta_docid_ix.py | y3g0r/h | a057144956fe25e669aeba5d0f0eb38f9dc09566 | [
"BSD-2-Clause"
] | 2 | 2019-08-04T07:22:11.000Z | 2020-07-17T05:01:41.000Z | h/migrations/versions/77c2af032aca_add_document_uri_and_meta_docid_ix.py | fuelpress/i.fuel.press | af7b25895d813af0fef656dcf483afe852a99d76 | [
"BSD-2-Clause"
] | 4 | 2020-03-24T17:38:24.000Z | 2022-03-02T05:45:01.000Z | h/migrations/versions/77c2af032aca_add_document_uri_and_meta_docid_ix.py | fuelpress/i.fuel.press | af7b25895d813af0fef656dcf483afe852a99d76 | [
"BSD-2-Clause"
] | null | null | null | """Add Document URI and Meta document_id index
Revision ID: 77c2af032aca
Revises: f3b8e76ae9f5
Create Date: 2016-05-13 15:06:55.496502
"""
# revision identifiers, used by Alembic.
revision = "77c2af032aca"
down_revision = "f3b8e76ae9f5"
from alembic import op
import sqlalchemy as sa
def upgrade():
op.execute(... | 22.694444 | 73 | 0.691554 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 422 | 0.516524 |
a6022344a3d4840a64b5a3612dfb2d5eecb6808c | 19,526 | py | Python | ooni/runner.py | meejah/ooni-probe | f46dc5879da409763718cfa5aa2635ddf5332a54 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | ooni/runner.py | meejah/ooni-probe | f46dc5879da409763718cfa5aa2635ddf5332a54 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | ooni/runner.py | meejah/ooni-probe | f46dc5879da409763718cfa5aa2635ddf5332a54 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import os
import sys
import time
import inspect
import traceback
import itertools
import random
import yaml
from twisted.python import reflect, usage
from twisted.internet import defer
from twisted.trial.runner import filenameToModule
from twisted.internet import reactor, threads
from txtorcon import TorProtocolFact... | 32.816807 | 93 | 0.678019 | 172 | 0.008809 | 5,972 | 0.305849 | 4,509 | 0.230923 | 0 | 0 | 5,819 | 0.298013 |
a60228f4b0493e204cf39ee8d4a76aafe56f57f7 | 4,410 | py | Python | performance.py | PudPawat/protest-detection-violence-estimation | 6469c3ae47a7d99308458174fe16bd2c5c7821aa | [
"MIT"
] | 2 | 2020-12-10T01:22:13.000Z | 2021-03-11T08:05:16.000Z | performance.py | PudPawat/protest-detection-violence-estimation | 6469c3ae47a7d99308458174fe16bd2c5c7821aa | [
"MIT"
] | null | null | null | performance.py | PudPawat/protest-detection-violence-estimation | 6469c3ae47a7d99308458174fe16bd2c5c7821aa | [
"MIT"
] | null | null | null | import os
import subprocess
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import argparse
import seaborn as sns # I love this package!
sns.set_style('white')
import torch
from sklearn.metrics import accuracy_score, roc_auc_score, roc_curve
import scipy.stats as stats
def plot_roc(attr, target... | 36.446281 | 80 | 0.594558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,080 | 0.244898 |
a60260497b4fa5807ca2464a85c90d77b9b013da | 6,071 | py | Python | tangent/anf.py | aayushi94/tangent | 4a8c5f1f0c69adc574a2643a6bc02521c5bdaa2a | [
"Apache-2.0"
] | null | null | null | tangent/anf.py | aayushi94/tangent | 4a8c5f1f0c69adc574a2643a6bc02521c5bdaa2a | [
"Apache-2.0"
] | null | null | null | tangent/anf.py | aayushi94/tangent | 4a8c5f1f0c69adc574a2643a6bc02521c5bdaa2a | [
"Apache-2.0"
] | 1 | 2019-12-06T11:51:41.000Z | 2019-12-06T11:51:41.000Z | # Copyright 2017 Google 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 wri... | 32.994565 | 79 | 0.654423 | 4,499 | 0.741064 | 0 | 0 | 0 | 0 | 0 | 0 | 1,503 | 0.24757 |
a6027a3ebc5d97cf960018115a8dd70040b07344 | 121 | py | Python | virtual/lib/python3.6/site-packages/url_or_relative_url_field/apps.py | sharonmaswai/awards | 9556d6c559fdd12a860b6e3509b2482b260a63c0 | [
"Unlicense"
] | 6 | 2018-03-14T16:01:56.000Z | 2021-12-05T06:11:07.000Z | virtual/lib/python3.6/site-packages/url_or_relative_url_field/apps.py | sharonmaswai/awards | 9556d6c559fdd12a860b6e3509b2482b260a63c0 | [
"Unlicense"
] | 7 | 2020-02-12T03:20:53.000Z | 2022-03-12T00:06:11.000Z | virtual/lib/python3.6/site-packages/url_or_relative_url_field/apps.py | sharonmaswai/awards | 9556d6c559fdd12a860b6e3509b2482b260a63c0 | [
"Unlicense"
] | 4 | 2018-03-23T12:08:40.000Z | 2021-12-13T00:58:08.000Z | from django.apps import AppConfig
class UrlOrRelativeUrlFieldConfig(AppConfig):
name = 'url_or_relative_url_field'
| 20.166667 | 45 | 0.818182 | 84 | 0.694215 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.22314 |
a6027e7c6c9accbef3a1e0fb42f95f71fdcfc5a3 | 4,877 | py | Python | tests/test_graph_iden.py | Erotemic/graphid | 5d04c2eec609f135464a921ba03d9578fa6e22fd | [
"Apache-2.0"
] | 4 | 2019-03-04T02:49:26.000Z | 2021-10-06T00:51:13.000Z | tests/test_graph_iden.py | Erotemic/graphid | 5d04c2eec609f135464a921ba03d9578fa6e22fd | [
"Apache-2.0"
] | 1 | 2019-02-15T23:42:26.000Z | 2019-02-15T23:42:26.000Z | tests/test_graph_iden.py | Erotemic/graphid | 5d04c2eec609f135464a921ba03d9578fa6e22fd | [
"Apache-2.0"
] | null | null | null | import ubelt as ub
from graphid import demo
from graphid.core.state import (POSTV, NEGTV, INCMP, UNREV)
def test_incomp_inference():
infr = demo.demodata_infr(num_pccs=0)
# Make 2 consistent and 2 inconsistent CCs
infr.add_feedback(( 1, 2), POSTV)
infr.add_feedback(( 2, 3), POSTV)
infr... | 34.104895 | 64 | 0.599754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.148657 |
a602c20e6c62e465410e523f5014d66e68793385 | 1,565 | py | Python | tests/tagger_test.py | slouvan/anago | 99a8be0ba2ea42c9c686ff9697ea9e6ef60ca028 | [
"MIT"
] | null | null | null | tests/tagger_test.py | slouvan/anago | 99a8be0ba2ea42c9c686ff9697ea9e6ef60ca028 | [
"MIT"
] | 9 | 2020-01-28T22:26:05.000Z | 2022-02-09T23:47:51.000Z | tests/tagger_test.py | tungnt244/ie_tourism_model | f9d6a234af4ddeb632b63e6dcd05eea23a48b2a7 | [
"MIT"
] | 1 | 2021-06-23T13:35:51.000Z | 2021-06-23T13:35:51.000Z | import os
import unittest
from pprint import pprint
import anago
from anago.config import ModelConfig
from anago.models import SeqLabeling
from anago.preprocess import WordPreprocessor
SAVE_ROOT = os.path.join(os.path.dirname(__file__), 'models')
class TaggerTest(unittest.TestCase):
def setUp(self):
p ... | 30.686275 | 78 | 0.656869 | 1,313 | 0.838978 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.07476 |
a6033320b86e6ca0f7d5044e4b6dd458c4e4c840 | 1,858 | py | Python | unittest/base/JobControllerTest.py | hamatoma/snakeboxx | de4609e0d980c7ce775060e3813e71752e8670aa | [
"CC0-1.0"
] | null | null | null | unittest/base/JobControllerTest.py | hamatoma/snakeboxx | de4609e0d980c7ce775060e3813e71752e8670aa | [
"CC0-1.0"
] | null | null | null | unittest/base/JobControllerTest.py | hamatoma/snakeboxx | de4609e0d980c7ce775060e3813e71752e8670aa | [
"CC0-1.0"
] | null | null | null | '''
Created on 12.04.2018
@author: hm
'''
import os
import time
from unittest.UnitTestCase import UnitTestCase
import base.MemoryLogger
import base.JobController
import base.StringUtils
DEBUG = False
class TestJobController (base.JobController.JobController):
def __init__(self, logger):
base.JobControll... | 32.034483 | 123 | 0.682454 | 1,524 | 0.820237 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.113563 |
a6037f9a95ecfd02fa62dc87371fde25d3dc01c6 | 3,308 | py | Python | scripts/sdk_xml/xml_stub.py | vzaccaria/most | 2b3b8768a960245e433a5a733cba6f08451e3fec | [
"Unlicense"
] | null | null | null | scripts/sdk_xml/xml_stub.py | vzaccaria/most | 2b3b8768a960245e433a5a733cba6f08451e3fec | [
"Unlicense"
] | null | null | null | scripts/sdk_xml/xml_stub.py | vzaccaria/most | 2b3b8768a960245e433a5a733cba6f08451e3fec | [
"Unlicense"
] | null | null | null | # Stub script for converting XML input values into command line parameters and writing out
# and XML file.
#
# This script expects two parameters, as a specific:
# --xml_system_configuration=input_filename.xml
# --xml_system_metrics=output_filename.xml
#
# @author Sivieri Alessandro, Vittorio Zaccaria (2010/20... | 26.253968 | 150 | 0.680169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,327 | 0.401149 |
a6038b3f8e171ab48ac06bd1a445cb35301ad809 | 1,059 | py | Python | api/http/auth.py | dominicplouffe/connexionme | 85d10905b8e4dd535320cc314a7340e5d28f6e9e | [
"MIT"
] | null | null | null | api/http/auth.py | dominicplouffe/connexionme | 85d10905b8e4dd535320cc314a7340e5d28f6e9e | [
"MIT"
] | null | null | null | api/http/auth.py | dominicplouffe/connexionme | 85d10905b8e4dd535320cc314a7340e5d28f6e9e | [
"MIT"
] | null | null | null | from flask import Blueprint, request
from services import account
from functools import wraps
from status import finish
auth = Blueprint('auth', __name__, url_prefix='/auth')
def requires_auth(f):
@wraps(f)
def decorated(*args, **kwargs):
token = request.form.get('token', request.args.get('token', N... | 25.829268 | 74 | 0.599622 | 0 | 0 | 0 | 0 | 831 | 0.784703 | 0 | 0 | 168 | 0.15864 |
a60492a029f93b9e4059d6e51e8cafafd4226486 | 768 | py | Python | rptools/rpthermo/Args.py | niraito/rptools | 5c631c6cc4cd8cb497ccf573891235b36dfde65f | [
"MIT"
] | null | null | null | rptools/rpthermo/Args.py | niraito/rptools | 5c631c6cc4cd8cb497ccf573891235b36dfde65f | [
"MIT"
] | null | null | null | rptools/rpthermo/Args.py | niraito/rptools | 5c631c6cc4cd8cb497ccf573891235b36dfde65f | [
"MIT"
] | null | null | null | from argparse import ArgumentParser
DEFAULT_pH = 7.5
DEFAULT_pMg = 3.0
DEFAULT_ionic_strength = 0.25
def add_arguments(parser: ArgumentParser) -> ArgumentParser:
# positional arguments
parser.add_argument('infile', type=str, help='pathway as rpSBML file')
parser.add_argument('outfile', type=str, hel... | 24 | 85 | 0.641927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0.260417 |
a605d79f8499b6ae4b9712a96390545d3da40661 | 7,829 | py | Python | online_recommend/first-release-version/online_recommend/movie_recall/cal_movie_sim.py | hfhfn/db_recommend | 3a9f03157bb81e295f8cff30fbc7ad2a8cfdf963 | [
"MIT"
] | null | null | null | online_recommend/first-release-version/online_recommend/movie_recall/cal_movie_sim.py | hfhfn/db_recommend | 3a9f03157bb81e295f8cff30fbc7ad2a8cfdf963 | [
"MIT"
] | null | null | null | online_recommend/first-release-version/online_recommend/movie_recall/cal_movie_sim.py | hfhfn/db_recommend | 3a9f03157bb81e295f8cff30fbc7ad2a8cfdf963 | [
"MIT"
] | null | null | null | from pyspark.ml.clustering import BisectingKMeans, BisectingKMeansModel
from utils import channelInfo
from utils import MovieDataApp
class BkmeansCossim(object):
def __init__(self, spark, database, group=0, recall_topK=50, k=100, minDCS=200, seed=10, channel='电影'):
"""
:param group: int 计算第几组聚类... | 40.989529 | 131 | 0.62013 | 5,953 | 0.723945 | 0 | 0 | 0 | 0 | 0 | 0 | 4,317 | 0.524991 |
a605fb5e525f35f836c02ffad077a242234f3c4a | 32,138 | py | Python | src/gui/scroll.py | Epihaius/panda3dstudio | f5c62ca49617cae1aa5aa5b695200027da99e242 | [
"BSD-3-Clause"
] | 63 | 2016-01-02T16:28:47.000Z | 2022-01-19T11:29:51.000Z | src/gui/scroll.py | Epihaius/panda3dstudio | f5c62ca49617cae1aa5aa5b695200027da99e242 | [
"BSD-3-Clause"
] | 12 | 2016-06-12T14:14:15.000Z | 2020-12-18T16:11:45.000Z | src/gui/scroll.py | Epihaius/panda3dstudio | f5c62ca49617cae1aa5aa5b695200027da99e242 | [
"BSD-3-Clause"
] | 17 | 2016-05-23T00:02:27.000Z | 2021-04-25T17:48:27.000Z | from .base import *
MAX_TEX_SIZE = 4000 # TODO: make user-configurable
class ScrollThumb(Widget):
def __init__(self, parent, pane, gfx_ids, cull_bin, scroll_dir, inner_border_id):
Widget.__init__(self, "scrollthumb", parent, gfx_ids, "normal")
self._pane = pane
self.direction = scroll... | 33.166151 | 105 | 0.609434 | 32,053 | 0.997355 | 0 | 0 | 734 | 0.022839 | 0 | 0 | 3,062 | 0.095277 |
a6089b93cf4c6a825b8066cca145aee395091e54 | 4,561 | py | Python | extraction_tool/extract_token.py | ohadlevy/homebridge-palgate-opener | 1dc2c4e00a7dc969221db6f571a75d2d4088a7a0 | [
"MIT"
] | 13 | 2020-10-24T22:17:31.000Z | 2022-03-04T22:31:23.000Z | extraction_tool/extract_token.py | ohadlevy/homebridge-palgate-opener | 1dc2c4e00a7dc969221db6f571a75d2d4088a7a0 | [
"MIT"
] | 7 | 2021-01-24T11:23:24.000Z | 2022-02-27T13:19:28.000Z | extraction_tool/extract_token.py | ohadlevy/homebridge-palgate-opener | 1dc2c4e00a7dc969221db6f571a75d2d4088a7a0 | [
"MIT"
] | 4 | 2020-10-24T22:17:42.000Z | 2022-01-20T08:01:31.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
########################################################
# PalGate Token Extraction Tool #
########################################################
# #
# Like my work? please consider buying me a ... | 42.626168 | 101 | 0.534093 | 1,927 | 0.422495 | 0 | 0 | 474 | 0.103925 | 0 | 0 | 2,267 | 0.49704 |
a608ef057ab4973763dbb8b9d94aa73dd295ec64 | 3,335 | py | Python | main.py | Mnkai/GoogleTakeoutPhotosMigrationPrepare | d43c15dce87c937b2696dde16f62461ab504fdef | [
"WTFPL"
] | 1 | 2020-04-19T06:43:30.000Z | 2020-04-19T06:43:30.000Z | main.py | Mnkai/GoogleTakeoutPhotosMigrationPrepare | d43c15dce87c937b2696dde16f62461ab504fdef | [
"WTFPL"
] | null | null | null | main.py | Mnkai/GoogleTakeoutPhotosMigrationPrepare | d43c15dce87c937b2696dde16f62461ab504fdef | [
"WTFPL"
] | null | null | null | import os
import ArrayUtils
import GoogleMetadataUtils
from objects.ExportedObject import ExportedObject
from objects.Image import Image
counter = 0
def directory_walk(start_path, extension):
to_return = []
for (dirpath, dirnames, filenames) in os.walk(start_path):
for filename in filenames:
... | 37.055556 | 113 | 0.689055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 307 | 0.092054 |
a60930ad0dd78d95d72937ed81ded6b37a3f470b | 501 | py | Python | foodcartapp/serializers.py | savilard/delivery-drf-api | e9d7c17120f37b591bb1e305a8516115f5f92a75 | [
"MIT"
] | null | null | null | foodcartapp/serializers.py | savilard/delivery-drf-api | e9d7c17120f37b591bb1e305a8516115f5f92a75 | [
"MIT"
] | 1 | 2022-02-10T14:02:58.000Z | 2022-02-10T14:02:58.000Z | foodcartapp/serializers.py | savilard/delivery-drf-api | e9d7c17120f37b591bb1e305a8516115f5f92a75 | [
"MIT"
] | null | null | null | from rest_framework.serializers import ModelSerializer
from foodcartapp.models import Order, OrderProduct
class OrderProductSerializer(ModelSerializer):
class Meta:
model = OrderProduct
fields = ['id', 'product', 'quantity']
class OrderSerializer(ModelSerializer):
products = OrderProductSer... | 27.833333 | 86 | 0.714571 | 388 | 0.774451 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.159681 |
a60a5e2c81cee18f19368d6d10d396d0396c103a | 71 | py | Python | 1002_AreaCircle.py | DiegoC386/EJERCICIOS-URI | b2e12b6420ea16a9060726b988ea1b35cbf312c2 | [
"MIT"
] | null | null | null | 1002_AreaCircle.py | DiegoC386/EJERCICIOS-URI | b2e12b6420ea16a9060726b988ea1b35cbf312c2 | [
"MIT"
] | null | null | null | 1002_AreaCircle.py | DiegoC386/EJERCICIOS-URI | b2e12b6420ea16a9060726b988ea1b35cbf312c2 | [
"MIT"
] | null | null | null | R=float(input())
PI=3.14159
A=(PI)*(R**2)
print("A = {:.4f}".format(A)) | 17.75 | 29 | 0.549296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.169014 |
a60a74a8bdf1655be820f9cfcac1059f5d4956f4 | 882 | py | Python | funcionario/views.py | Moisestuli/karrata | 962ce0c573214bfc83720727c9cacae823a8c372 | [
"MIT"
] | null | null | null | funcionario/views.py | Moisestuli/karrata | 962ce0c573214bfc83720727c9cacae823a8c372 | [
"MIT"
] | null | null | null | funcionario/views.py | Moisestuli/karrata | 962ce0c573214bfc83720727c9cacae823a8c372 | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.models import User
from funcionario.forms import FuncionarioForm
from configuracao.models import Configuracao
def funcionario_eliminar(request, username = None):
user = User.... | 26.727273 | 60 | 0.717687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 218 | 0.247166 |
a60b9d285aa7339e1763df0a9faec446ada591b3 | 2,658 | py | Python | src/models/gan_bert.py | gchhablani/financial-sentiment-analysis | b18e9072f8edb9f09d0fef697892f2462d6d44e9 | [
"MIT"
] | 2 | 2021-10-03T14:24:52.000Z | 2021-11-17T14:55:53.000Z | src/models/gan_bert.py | gchhablani/financial-sentiment-analysis | b18e9072f8edb9f09d0fef697892f2462d6d44e9 | [
"MIT"
] | null | null | null | src/models/gan_bert.py | gchhablani/financial-sentiment-analysis | b18e9072f8edb9f09d0fef697892f2462d6d44e9 | [
"MIT"
] | 1 | 2021-10-03T14:25:36.000Z | 2021-10-03T14:25:36.000Z | # https://raw.githubusercontent.com/crux82/ganbert-pytorch/main/GANBERT_pytorch.ipynb
# [WIP], not finished
import torch
from torch.nn import Dropout, LeakyReLU, Linear, Module, Sequential
from transformers import AutoModel
class Generator(Module):
def __init__(
self, noise_size=100, output_size=768, hidd... | 34.519481 | 85 | 0.598194 | 2,243 | 0.843868 | 0 | 0 | 0 | 0 | 0 | 0 | 367 | 0.138074 |
a60d2023dee851677b4f026e9f20232d3cae3173 | 2,571 | py | Python | ec2stack/secretkey_manager.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 13 | 2015-05-06T13:38:13.000Z | 2021-11-09T21:39:01.000Z | ec2stack/secretkey_manager.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 3 | 2015-08-21T17:31:20.000Z | 2021-07-07T08:39:11.000Z | ec2stack/secretkey_manager.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 17 | 2015-07-24T06:00:59.000Z | 2021-11-09T21:38:52.000Z | #!/usr/bin/env python
# encoding: utf-8
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licens... | 26.505155 | 80 | 0.698172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,689 | 0.656943 |
a60d82cbe53076fcdd04723f529bca35a26a771d | 2,270 | py | Python | mapas/mapas.py | DeadZombie14/chillMagicCarPygame | 756bb6d27939bed3c2834222d03096e90f05a788 | [
"MIT"
] | null | null | null | mapas/mapas.py | DeadZombie14/chillMagicCarPygame | 756bb6d27939bed3c2834222d03096e90f05a788 | [
"MIT"
] | null | null | null | mapas/mapas.py | DeadZombie14/chillMagicCarPygame | 756bb6d27939bed3c2834222d03096e90f05a788 | [
"MIT"
] | null | null | null | levels = [
[ # W = Muro, E = Meta, P = Jugador 1, J = Jugador 2, H = Jugador 3, I = Jugador 4,
"WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW",
"W W",
"W J W",
"W P W",
"W W",
"W W",
"W ... | 32.898551 | 84 | 0.234802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,122 | 0.934802 |
a60f47844b4e66c2b41b6d88b7e848c7e6e83731 | 1,761 | py | Python | reddit_client.py | spotify-companion/CLI | 29934cc715922263652235d0a9a4f0d8f57ecec5 | [
"MIT"
] | null | null | null | reddit_client.py | spotify-companion/CLI | 29934cc715922263652235d0a9a4f0d8f57ecec5 | [
"MIT"
] | null | null | null | reddit_client.py | spotify-companion/CLI | 29934cc715922263652235d0a9a4f0d8f57ecec5 | [
"MIT"
] | null | null | null | import praw
import pandas as pd
import reddit_constants
class RedditClient(object):
__shared_instance = "RedditClient"
@staticmethod
def get_instance():
""" To implement singleton pattern """
if RedditClient.__shared_instance == "RedditClient":
RedditClient()
... | 33.226415 | 193 | 0.570131 | 1,691 | 0.958074 | 0 | 0 | 228 | 0.129178 | 0 | 0 | 303 | 0.171671 |
a60fb9d495770e6c4eafb910265165abbcd032b4 | 272 | py | Python | AutotestWebD/apps/config/views/service.py | yangjourney/sosotest | 2e88099a829749910ca325253c9b1a2e368d21a0 | [
"MIT"
] | 422 | 2019-08-18T05:04:20.000Z | 2022-03-31T06:49:19.000Z | AutotestWebD/apps/config/views/service.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 10 | 2019-10-24T09:55:38.000Z | 2021-09-29T17:28:43.000Z | AutotestWebD/apps/config/views/service.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 202 | 2019-08-18T05:04:27.000Z | 2022-03-30T05:57:18.000Z | from apps.config.services.serviceConfService import ServiceConfService
from django.shortcuts import HttpResponse
import json
def getServiceConf(request):
serviceConf = ServiceConfService.queryServiceConfSort(request)
return HttpResponse(json.dumps(serviceConf))
| 30.222222 | 70 | 0.841912 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6105ef939a3d47b3dd6af778e4ee27a4e38dd46 | 2,436 | py | Python | src/keywords.py | sandialabs/nnsd-common | c106799d06276b5a980b790b5249e66e459ce682 | [
"MIT"
] | 3 | 2019-07-16T21:10:18.000Z | 2021-09-01T03:01:23.000Z | src/keywords.py | sandialabs/nnsd-common | c106799d06276b5a980b790b5249e66e459ce682 | [
"MIT"
] | 9 | 2019-04-15T21:46:21.000Z | 2021-02-09T16:17:24.000Z | src/keywords.py | sandialabs/nnsd-common | c106799d06276b5a980b790b5249e66e459ce682 | [
"MIT"
] | 1 | 2020-03-03T14:41:25.000Z | 2020-03-03T14:41:25.000Z | #!/usr/bin/python3
# Gets all files below where this script is run, and checks to see if any contain
# the specified keywords. A report is generated at the end.
#
# Files with certain extensions are excluded, and directories with certain names are excluded.
#
# The actual keywords are kept in a separate file so... | 36.358209 | 193 | 0.619458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 859 | 0.352627 |
a610ecc05f6f6e302f862afbc071148996b7ed46 | 19,020 | py | Python | ii_irods/ii_command.py | UtrechtUniversity/ii | 7d3899b4d6bbbf5a14be1d85296b3ea99ffe135b | [
"MIT"
] | null | null | null | ii_irods/ii_command.py | UtrechtUniversity/ii | 7d3899b4d6bbbf5a14be1d85296b3ea99ffe135b | [
"MIT"
] | null | null | null | ii_irods/ii_command.py | UtrechtUniversity/ii | 7d3899b4d6bbbf5a14be1d85296b3ea99ffe135b | [
"MIT"
] | null | null | null | import argparse
from fnmatch import fnmatch
import os.path
import re
import sys
from ii_irods.coll_utils import resolve_base_path, convert_to_absolute_path, get_dataobjects_in_collection
from ii_irods.coll_utils import get_direct_subcollections, get_subcollections, collection_exists
from ii_irods.do_utils import get_d... | 39.055441 | 114 | 0.601472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,120 | 0.321767 |
a6117f3294c81246ee664c4b1aa72e59144f4cc8 | 6,998 | py | Python | tests/pyarxaas/models/test_Dataset.py | vinayranjan/pyarxaas | f304d360adf1a647d9daff0afda5290ca0fd7ec8 | [
"MIT"
] | 4 | 2020-07-14T16:36:09.000Z | 2020-11-24T14:28:02.000Z | tests/pyarxaas/models/test_Dataset.py | vinayranjan/pyarxaas | f304d360adf1a647d9daff0afda5290ca0fd7ec8 | [
"MIT"
] | 20 | 2020-06-19T04:37:33.000Z | 2021-07-26T04:27:46.000Z | tests/pyarxaas/models/test_Dataset.py | vinayranjan/pyarxaas | f304d360adf1a647d9daff0afda5290ca0fd7ec8 | [
"MIT"
] | 2 | 2020-11-11T11:52:06.000Z | 2020-12-03T10:22:47.000Z | import unittest
import pandas
from pyarxaas.models.attribute_type import AttributeType
from pyarxaas.models.dataset import Dataset
from tests.pyarxaas import data_generator
class DatasetTest(unittest.TestCase):
def setUp(self):
self.test_data = [['id', 'name'],
['0', 'Viktor']... | 43.7375 | 110 | 0.69577 | 6,818 | 0.974278 | 0 | 0 | 0 | 0 | 0 | 0 | 457 | 0.065304 |
a612ee91d33761ed97242b786506ebee4d8f2061 | 6,955 | py | Python | perception/utils/visualization.py | jostl/masters-thesis | 211e1f12a07428d37507e2bddc808f6da1149efb | [
"MIT"
] | 3 | 2021-06-19T10:49:26.000Z | 2022-03-26T11:31:28.000Z | perception/utils/visualization.py | jostl/masters-thesis | 211e1f12a07428d37507e2bddc808f6da1149efb | [
"MIT"
] | 1 | 2021-10-12T15:40:55.000Z | 2021-10-12T15:40:55.000Z | perception/utils/visualization.py | jostl/masters-thesis | 211e1f12a07428d37507e2bddc808f6da1149efb | [
"MIT"
] | null | null | null | import random
import matplotlib.pyplot as plt
import numpy as np
import torch
from perception.utils.segmentation_labels import CARLA_CLASSES, DEFAULT_CLASSES
def get_segmentation_colors(n_classes, only_random=False, class_indxs=None, color_seed=73):
assert only_random or class_indxs
random.seed(color_seed)
... | 41.646707 | 137 | 0.68555 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,435 | 0.206326 |
a613b9a8c301525a013a5679b0f23d6447d8344b | 7,214 | py | Python | nova3/engines/nyaapantsu.py | chr0nu5/qBittorrent-Plugins-Easy-Install | 2b905523671f3d75977d1dc399cf6a8c723f463e | [
"MIT"
] | null | null | null | nova3/engines/nyaapantsu.py | chr0nu5/qBittorrent-Plugins-Easy-Install | 2b905523671f3d75977d1dc399cf6a8c723f463e | [
"MIT"
] | null | null | null | nova3/engines/nyaapantsu.py | chr0nu5/qBittorrent-Plugins-Easy-Install | 2b905523671f3d75977d1dc399cf6a8c723f463e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#VERSION: 1.2
#AUTHORS: Joost Bremmer (toost.b@gmail.com)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any... | 35.712871 | 83 | 0.530358 | 6,232 | 0.863876 | 0 | 0 | 0 | 0 | 0 | 0 | 2,847 | 0.394649 |
a615cb65339565e253a5ef2e1e9fe7fc3d78dd10 | 806 | py | Python | python-leetcode/it_03.03.py | MDGSF/interviews | 9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76 | [
"MIT"
] | 12 | 2020-01-16T08:55:27.000Z | 2021-12-02T14:52:39.000Z | python-leetcode/it_03.03.py | MDGSF/interviews | 9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76 | [
"MIT"
] | null | null | null | python-leetcode/it_03.03.py | MDGSF/interviews | 9faa9aacdb0cfbb777d4d3d4d1b14b55ca2c9f76 | [
"MIT"
] | 1 | 2019-12-11T12:00:38.000Z | 2019-12-11T12:00:38.000Z | class StackOfPlates:
def __init__(self, cap: int):
self.stack = []
self.cap = cap
def push(self, val: int) -> None:
if len(self.stack) == 0 or len(self.stack[-1]) >= self.cap:
self.stack.append([])
last = self.stack[-1]
last.append(val)
def pop(self) -> int:
while len(self.stack) ... | 25.1875 | 68 | 0.600496 | 641 | 0.795285 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0.19603 |
a615cdf949b68109cdb350bb44c0f837323c64f3 | 3,580 | py | Python | siebenapp/ui/goalwidget.py | ahitrin/SiebenApp | 1e3c8b9d90b6bed4efa28a9a9fa65ed37525c4ae | [
"MIT"
] | 14 | 2016-11-26T08:35:19.000Z | 2022-03-01T05:20:11.000Z | siebenapp/ui/goalwidget.py | ahitrin/SiebenApp | 1e3c8b9d90b6bed4efa28a9a9fa65ed37525c4ae | [
"MIT"
] | 98 | 2016-11-28T08:58:48.000Z | 2022-03-18T17:59:04.000Z | siebenapp/ui/goalwidget.py | ahitrin/SiebenApp | 1e3c8b9d90b6bed4efa28a9a9fa65ed37525c4ae | [
"MIT"
] | 1 | 2017-12-20T12:42:18.000Z | 2017-12-20T12:42:18.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui/goal.ui'
#
# Created by: PyQt5 UI code generator 5.8.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_GoalBody(object):
def setupUi(self, GoalBody):
GoalBody.set... | 43.13253 | 88 | 0.708101 | 3,339 | 0.932682 | 0 | 0 | 0 | 0 | 0 | 0 | 327 | 0.091341 |
a619383cde46a46920c9996c56eea79c404d6a6c | 8,342 | py | Python | trainer/audio_trainer.py | ryanwongsa/DeepFakeDetectionChallenge | b9902b88e89d5165190ad673d5dfb10cc821d5a1 | [
"Apache-2.0"
] | 5 | 2020-05-07T18:14:17.000Z | 2021-11-18T02:44:55.000Z | trainer/audio_trainer.py | ryanwongsa/DeepFakeDetectionChallenge | b9902b88e89d5165190ad673d5dfb10cc821d5a1 | [
"Apache-2.0"
] | 1 | 2021-08-17T09:40:28.000Z | 2021-09-20T16:57:29.000Z | trainer/audio_trainer.py | ryanwongsa/DeepFakeDetectionChallenge | b9902b88e89d5165190ad673d5dfb10cc821d5a1 | [
"Apache-2.0"
] | 1 | 2020-12-21T08:31:18.000Z | 2020-12-21T08:31:18.000Z | import torch
torch.backends.cudnn.benchmark = True
from trainer.base_audio_trainer import BaseAudioTrainer
from logger.new_callbacks import Callbacks
from torch.utils.data import DataLoader
from dataloader.audio_dataset import AudioDataset
from torch.optim.lr_scheduler import CosineAnnealingLR
from models.audio_mode... | 42.131313 | 296 | 0.649245 | 7,709 | 0.924119 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.046032 |
a61d2ff865e88390f5a4f3b8c8da817f93d2e1a6 | 355 | py | Python | Calculator/operations/__init__.py | Shakil-1501/Session12 | 0ae424a6ac8949b21b89aa1548b6e997a2e4c133 | [
"MIT"
] | null | null | null | Calculator/operations/__init__.py | Shakil-1501/Session12 | 0ae424a6ac8949b21b89aa1548b6e997a2e4c133 | [
"MIT"
] | null | null | null | Calculator/operations/__init__.py | Shakil-1501/Session12 | 0ae424a6ac8949b21b89aa1548b6e997a2e4c133 | [
"MIT"
] | null | null | null | from .sine import *
from .cose import *
from .tane import *
from .tanhe import *
from .ee import *
from .loge import *
from .sigmoide import *
from .relue import *
from .softmaxe import *
__all__= (sine.__all__+ cose.__all__ + tane.__all__ + tanhe.__all__ + ee.__all__ + loge.__all__ + sigmoide.__all__ + relu... | 25.357143 | 151 | 0.698592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a61da44df1b4b01ba75ab9949fbc2b4e355911f3 | 121 | py | Python | Basico/ex002.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | Basico/ex002.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | Basico/ex002.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | nome = str(input('Qual é seu nome?')).upper().capitalize()
print('prazer em conhecelo, \033[1;34m{}\033[m!'.format(nome)) | 60.5 | 62 | 0.677686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.5 |
a61e50a3bc6d9d83dac4e1176ba6bdfe1909c870 | 1,881 | py | Python | bin/taxid2lineage.py | twylie/viromatch | 44edca07c44308b17b9f19174c08175736fff53f | [
"MIT"
] | 5 | 2021-02-13T09:02:21.000Z | 2021-10-06T19:20:41.000Z | bin/taxid2lineage.py | twylie/viromatch | 44edca07c44308b17b9f19174c08175736fff53f | [
"MIT"
] | 4 | 2021-05-14T09:02:32.000Z | 2022-03-25T05:06:40.000Z | bin/taxid2lineage.py | twylie/viromatch | 44edca07c44308b17b9f19174c08175736fff53f | [
"MIT"
] | 1 | 2021-04-05T22:30:44.000Z | 2021-04-05T22:30:44.000Z | #! /usr/bin/python3.7
import argparse
from viromatch.lib.taxonomy import Taxonomy
import os
version = '1.0'
def eval_cli_arguments():
parser = argparse.ArgumentParser(
description='Resolve lineage given taxid.',
prog='taxid2lineage.py',
add_help=False
)
# Optional arguments.
... | 21.62069 | 70 | 0.600744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.322701 |
a61f07aff13fd36fc9ecc85e1e4a70ff58848de8 | 2,779 | py | Python | database.py | Konako1/osu-tg-bot | fc569b0a0fe2bc25947eb2fca443f809c84ef980 | [
"MIT"
] | 1 | 2022-03-26T16:55:33.000Z | 2022-03-26T16:55:33.000Z | database.py | Konako1/osu-tg-bot | fc569b0a0fe2bc25947eb2fca443f809c84ef980 | [
"MIT"
] | null | null | null | database.py | Konako1/osu-tg-bot | fc569b0a0fe2bc25947eb2fca443f809c84ef980 | [
"MIT"
] | null | null | null | from typing import Optional
import aiosqlite
from aiogram.dispatcher.middlewares import BaseMiddleware
import config
class OsuDb:
def __init__(self, path: str = config.ASSET_PATH / 'osu.db'):
self._conn = aiosqlite.connect(path)
async def connect(self):
self._conn = await self._conn
... | 38.068493 | 100 | 0.582944 | 2,655 | 0.95538 | 0 | 0 | 295 | 0.106153 | 2,411 | 0.867578 | 503 | 0.181 |
a6238a7cdde1b28e0b8b179e20a5211a8bc243b8 | 8,423 | py | Python | module_utils/rsd_common.py | intel/ansible-rsd-provisioning | 757f4d5ca9447a22efdf56fda337dc19579c6380 | [
"Apache-2.0"
] | 2 | 2019-07-17T09:56:41.000Z | 2020-03-14T21:32:32.000Z | module_utils/rsd_common.py | intel/ansible-rsd-provisioning | 757f4d5ca9447a22efdf56fda337dc19579c6380 | [
"Apache-2.0"
] | null | null | null | module_utils/rsd_common.py | intel/ansible-rsd-provisioning | 757f4d5ca9447a22efdf56fda337dc19579c6380 | [
"Apache-2.0"
] | 4 | 2019-11-02T00:31:07.000Z | 2021-02-17T11:11:46.000Z | # Copyright (c) 2019 Intel Corporation. All rights reserved.
#
# GNU General Public License v3.0+
# (see LICENSE.GPL or https://www.gnu.org/licenses/gpl-3.0.txt)
#
# Authors:
# - Igor D.C. - <igor.duarte.cardoso@intel.com>
# - Marco Chiappero - <marco.chiappero@intel.com>
###########################################... | 31.429104 | 78 | 0.515256 | 7,786 | 0.924374 | 0 | 0 | 983 | 0.116704 | 0 | 0 | 1,214 | 0.144129 |
a62415e6af752f35b91e91cf93818faa54736ef9 | 5,309 | py | Python | src/dockerblade/daemon.py | ChrisTimperley/dockerblade | 2be99bb9b2919ac87831879e04d6739d6967a8f3 | [
"Apache-2.0"
] | 1 | 2020-06-27T23:21:00.000Z | 2020-06-27T23:21:00.000Z | src/dockerblade/daemon.py | ChrisTimperley/dockerblade | 2be99bb9b2919ac87831879e04d6739d6967a8f3 | [
"Apache-2.0"
] | 66 | 2019-10-12T22:20:49.000Z | 2021-12-08T20:15:28.000Z | src/dockerblade/daemon.py | ChrisTimperley/dockerblade | 2be99bb9b2919ac87831879e04d6739d6967a8f3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = ('DockerDaemon',)
from types import TracebackType
from typing import Any, Mapping, Optional, Type
from loguru import logger
import attr
import docker
from .container import Container
@attr.s(frozen=True)
class DockerDaemon:
"""Maintains a connection to a Docker daemon."""
... | 42.134921 | 78 | 0.569787 | 5,065 | 0.95404 | 0 | 0 | 5,086 | 0.957996 | 0 | 0 | 2,617 | 0.492937 |
a6241a7c60cc25d87aeba3bf7a47f6e1a3cb5132 | 1,606 | py | Python | AreaFinder.py | karmatek/MinnoProto | cb231b44c055b910ce0e890f48fff0e0c7525c6e | [
"MIT"
] | null | null | null | AreaFinder.py | karmatek/MinnoProto | cb231b44c055b910ce0e890f48fff0e0c7525c6e | [
"MIT"
] | null | null | null | AreaFinder.py | karmatek/MinnoProto | cb231b44c055b910ce0e890f48fff0e0c7525c6e | [
"MIT"
] | null | null | null | """this module finds areas of image, it first finds edges in picture's pixel area.
then it makes contours of those edges, and draws biggest contours"""
import cv2
import numpy as np
from matplotlib import pyplot as plt
def smartSelectFunc(filepath):
#load image to analyze
img = cv2.imread(filepath,0)
#fin... | 37.348837 | 107 | 0.702366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.451432 |
a627af630e9c7ea0f65acfa02285e5da65872a94 | 2,465 | py | Python | scripts/detection_configs.py | www516717402/edgeai-mmdetection | c5563434728da227678ba3588621b4b426cda43d | [
"BSD-3-Clause"
] | null | null | null | scripts/detection_configs.py | www516717402/edgeai-mmdetection | c5563434728da227678ba3588621b4b426cda43d | [
"BSD-3-Clause"
] | null | null | null | scripts/detection_configs.py | www516717402/edgeai-mmdetection | c5563434728da227678ba3588621b4b426cda43d | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2018-2020, Texas Instruments
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of condition... | 48.333333 | 103 | 0.78499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,427 | 0.984584 |
a6282b4f65c892360e83ec0d77ab379ee0c3ed7f | 93 | py | Python | hello_world.py | economicactivist/profiles-rest-api | 298dfc81eea353c3db9c43b3514fd95b5e557e0c | [
"MIT"
] | null | null | null | hello_world.py | economicactivist/profiles-rest-api | 298dfc81eea353c3db9c43b3514fd95b5e557e0c | [
"MIT"
] | 5 | 2021-04-08T21:53:59.000Z | 2022-02-10T15:12:26.000Z | hello_world.py | economicactivist/profiles-rest-api | 298dfc81eea353c3db9c43b3514fd95b5e557e0c | [
"MIT"
] | null | null | null | print('hello world!')
a = "cat dog fish monkey".split()
for animal in a:
print(animal)
| 13.285714 | 33 | 0.645161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.376344 |
a628a61d4eade64beae8f07a2d6973ce8921c088 | 1,391 | py | Python | users/models.py | faisoabdirisak/NextDoor | 57eb963ea8e68cc1b3516ec1005418b3fdc6283a | [
"Unlicense",
"MIT"
] | null | null | null | users/models.py | faisoabdirisak/NextDoor | 57eb963ea8e68cc1b3516ec1005418b3fdc6283a | [
"Unlicense",
"MIT"
] | null | null | null | users/models.py | faisoabdirisak/NextDoor | 57eb963ea8e68cc1b3516ec1005418b3fdc6283a | [
"Unlicense",
"MIT"
] | null | null | null | # from distutils.command.upload import upload
# import email
# from email.policy import default
# from unicodedata import name
import email
import uuid
from django.db import models
from django.contrib.auth.models import User
# from django.db.models.signals import post_save,post_delete
# from django.dispatch import rec... | 32.348837 | 102 | 0.717469 | 542 | 0.389648 | 0 | 0 | 0 | 0 | 0 | 0 | 732 | 0.52624 |
a62b1c307fdb97895ca854309c5d81de1710a8df | 1,438 | py | Python | back/babar_twitter/serializers.py | dryvenn/babar3 | 6f193ddbc1170739d8b1bf39033ad64d9bc85747 | [
"MIT"
] | null | null | null | back/babar_twitter/serializers.py | dryvenn/babar3 | 6f193ddbc1170739d8b1bf39033ad64d9bc85747 | [
"MIT"
] | null | null | null | back/babar_twitter/serializers.py | dryvenn/babar3 | 6f193ddbc1170739d8b1bf39033ad64d9bc85747 | [
"MIT"
] | null | null | null | import json
from datetime import timedelta
from django.utils import timezone
from rest_framework import serializers
import tweepy
from .models import *
# Get secrets and create the API instance
secrets = open("./babar_twitter/SECRETS.json", 'r')
keychain = json.load(secrets)
secrets.close()
twitter_auth = tweepy.OAut... | 29.958333 | 95 | 0.656467 | 906 | 0.630042 | 0 | 0 | 0 | 0 | 0 | 0 | 403 | 0.28025 |
a62b50d2b959f583c0aa23c6919ec3d633f00676 | 1,579 | py | Python | tools/software-tool-chain/instruction_coding.py | jufo-ufo/Breadboard-Computer | f19089f88adaa13c53dfe79571ff90b0de9a34a3 | [
"Apache-2.0"
] | null | null | null | tools/software-tool-chain/instruction_coding.py | jufo-ufo/Breadboard-Computer | f19089f88adaa13c53dfe79571ff90b0de9a34a3 | [
"Apache-2.0"
] | null | null | null | tools/software-tool-chain/instruction_coding.py | jufo-ufo/Breadboard-Computer | f19089f88adaa13c53dfe79571ff90b0de9a34a3 | [
"Apache-2.0"
] | null | null | null | from typing import Dict, Tuple
INSTRUCTIONS: Dict[str, Tuple[str, str, str, int]] = {
"nop": ("", "", "", 0x00),
"mov": ("r", "", "rc", 0x01),
"add": ("r", "r", "rc", 0x02),
"sub": ("r", "r", "rc", 0x03),
"mul": ("r", "r", "rc", 0x04),
"div": ("r", "r", "rc", 0x05),
"xor": ("r", "r", "rc", ... | 29.240741 | 60 | 0.329322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.384421 |
a62c74b285e912ac651e99cb611624923fcd7697 | 1,105 | py | Python | examples/canopen/canopen_example.py | RobertoRoos/ingenialink-python | c5e82dfbff17898bb316f5dc3f91a7f3c049ba20 | [
"MIT"
] | null | null | null | examples/canopen/canopen_example.py | RobertoRoos/ingenialink-python | c5e82dfbff17898bb316f5dc3f91a7f3c049ba20 | [
"MIT"
] | null | null | null | examples/canopen/canopen_example.py | RobertoRoos/ingenialink-python | c5e82dfbff17898bb316f5dc3f91a7f3c049ba20 | [
"MIT"
] | null | null | null | import sys
from ingenialink.canopen.net import Network, CAN_DEVICE
def run_example():
net = None
try:
net = Network(device=CAN_DEVICE.PCAN)
nodes = net.detect_nodes()
net.scan('canopen_0.2.1.eds', 'registers_dictionary_canopen.xdf')
drives_connected = net.servos
if len(... | 30.694444 | 81 | 0.514932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.175566 |
a62e5d77c05596c38b887d3ac6ee4a9230f19780 | 5,051 | py | Python | rnmu/test/test_acontrario_point.py | marianotepper/nmu_rfit | c726be892b928b884f81452697b9211cf273e03c | [
"BSD-3-Clause"
] | 8 | 2017-06-13T13:07:34.000Z | 2020-02-13T06:30:42.000Z | rnmu/test/test_acontrario_point.py | marianotepper/nmu_rfit | c726be892b928b884f81452697b9211cf273e03c | [
"BSD-3-Clause"
] | null | null | null | rnmu/test/test_acontrario_point.py | marianotepper/nmu_rfit | c726be892b928b884f81452697b9211cf273e03c | [
"BSD-3-Clause"
] | 3 | 2017-06-10T18:30:57.000Z | 2019-03-19T07:28:25.000Z | from __future__ import print_function
import matplotlib.pyplot as plt
import matplotlib.colors as plt_colors
import numpy as np
import scipy.io
import scipy.stats
from rnmu.pme.point import Point
from rnmu.pme.line import Line
import rnmu.pme.stats as stats
def plot_soft_point(ax, point, sigma, box, n_levels=64, colo... | 31.372671 | 82 | 0.567808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.057612 |
a62ea8307891d611a45992bc024911fc8e8e0da9 | 17,456 | py | Python | oldbabylonian/cookbook/poslib.py | sethbam9/tutorials | c259636682304cb516e9048ca8df5a3ab92c62cc | [
"MIT"
] | 2 | 2019-07-17T18:51:26.000Z | 2019-07-24T19:45:23.000Z | oldbabylonian/cookbook/poslib.py | sethbam9/tutorials | c259636682304cb516e9048ca8df5a3ab92c62cc | [
"MIT"
] | 3 | 2019-01-16T10:56:50.000Z | 2020-11-16T16:30:48.000Z | oldbabylonian/cookbook/poslib.py | sethbam9/tutorials | c259636682304cb516e9048ca8df5a3ab92c62cc | [
"MIT"
] | 2 | 2020-12-17T15:41:33.000Z | 2021-11-03T18:23:07.000Z | import os
import collections
from functools import reduce
import yaml
from tf.lib import writeSets
HERE_BASE = "."
DROPBOX_BASE = "~/Dropbox/obb"
SET_NAME = "sets.tfx"
MODULE = "pos"
TF_LOC = f"{MODULE}/tf"
def getCases(caseStr):
caseLines = caseStr.strip().split("\n")
result = {}
for caseLine in case... | 29.737649 | 103 | 0.507734 | 16,573 | 0.949416 | 0 | 0 | 0 | 0 | 0 | 0 | 3,082 | 0.176558 |
a630e19b17abd22ec5eb9f8bfa6cd41dd44b3348 | 1,613 | py | Python | tcfcli/cmds/native/startapi/cli.py | tencentyun/scfcli | ef15508ad34a851cf0d2750dfaa5202f6a600887 | [
"Apache-2.0"
] | 103 | 2019-06-11T06:09:56.000Z | 2021-12-18T22:48:59.000Z | tcfcli/cmds/native/startapi/cli.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 8 | 2019-07-12T12:08:40.000Z | 2020-10-20T07:18:17.000Z | tcfcli/cmds/native/startapi/cli.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 49 | 2019-06-11T06:26:05.000Z | 2020-02-19T08:13:36.000Z | # -*- coding: utf-8 -*-
import click
from tcfcli.cmds.native.common.start_api_context import StartApiContext
from tcfcli.help.message import NativeHelp as help
DEF_TMP_FILENAME = "template.yaml"
@click.command(name='start-api', short_help=help.START_API_SHORT_HElP)
@click.option('--env-vars', '-n', help='JSON file ... | 36.659091 | 100 | 0.681959 | 0 | 0 | 0 | 0 | 978 | 0.606324 | 0 | 0 | 379 | 0.234966 |
a63284b08e3b3a719f709e9f2059ec76a6420514 | 1,905 | py | Python | testing/dummy_usb.py | dominikandreas/modtpy | 90616cee4e7ae34ecc56c24faa003e1ffd0210de | [
"MIT"
] | 3 | 2019-01-24T16:40:22.000Z | 2020-11-09T22:24:12.000Z | testing/dummy_usb.py | dominikandreas/modtpy | 90616cee4e7ae34ecc56c24faa003e1ffd0210de | [
"MIT"
] | null | null | null | testing/dummy_usb.py | dominikandreas/modtpy | 90616cee4e7ae34ecc56c24faa003e1ffd0210de | [
"MIT"
] | null | null | null | from modtpy.api.modt import ModT, Mode
from modtpy.api.errors import PrinterError
import logging
from contextlib import contextmanager
def dummy_device_function(f):
def __inner__(self, *args, **kwargs):
logging.info("Device.%s called with args: %s, kwargs: %s", f.__name__, str(args), str(kwargs))
... | 24.74026 | 102 | 0.622572 | 1,475 | 0.774278 | 628 | 0.329659 | 1,175 | 0.616798 | 0 | 0 | 106 | 0.055643 |
a6329ec460cd0fd9eb39a536eca18ce065e12138 | 712 | py | Python | core/models/bert/classifier.py | readerbench/PASTEL | bef88d05c37b68f62a76983e4c31d9591b9a679a | [
"Apache-2.0"
] | null | null | null | core/models/bert/classifier.py | readerbench/PASTEL | bef88d05c37b68f62a76983e4c31d9591b9a679a | [
"Apache-2.0"
] | null | null | null | core/models/bert/classifier.py | readerbench/PASTEL | bef88d05c37b68f62a76983e4c31d9591b9a679a | [
"Apache-2.0"
] | null | null | null | from torch.nn.functional import relu, softmax, sigmoid
from transformers import BertModel
import torch.nn as nn
class BERTClassifier(nn.Module):
def __init__(self, n_classes, pretrained_bert_model):
super(BERTClassifier, self).__init__()
self.bert = BertModel.from_pretrained(pretrained_bert_model)
self.... | 37.473684 | 84 | 0.75 | 598 | 0.839888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6333b4280980727cc41b230009b8b7911647e4a | 3,095 | py | Python | django/apps/audit/operations.py | wykys/project-thesaurus | f700396b30ed44e6b001c15397a25450ac068af4 | [
"MIT"
] | null | null | null | django/apps/audit/operations.py | wykys/project-thesaurus | f700396b30ed44e6b001c15397a25450ac068af4 | [
"MIT"
] | 93 | 2020-05-19T18:14:12.000Z | 2022-03-29T00:26:39.000Z | django/apps/audit/operations.py | wykys/project-thesaurus | f700396b30ed44e6b001c15397a25450ac068af4 | [
"MIT"
] | 1 | 2020-11-21T20:24:35.000Z | 2020-11-21T20:24:35.000Z | from typing import Type
from django.db.migrations.operations.base import Operation
from django.db.models import Model
class AddAuditOperation(Operation):
reduces_to_sql = True
reversible = True
enabled = True
def __init__(self, model_name, audit_rows=True, audit_text=False, excluded=('created', 'mod... | 34.388889 | 104 | 0.57189 | 2,882 | 0.931179 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.145396 |
a63517af775b6810696eee33fd69c06e61c4d35a | 484 | py | Python | DP&Memorization/272.py | wilbertgeng/LintCode_exercise | e7a343b746e98ca3b4bc7b36655af7291f3150db | [
"MIT"
] | null | null | null | DP&Memorization/272.py | wilbertgeng/LintCode_exercise | e7a343b746e98ca3b4bc7b36655af7291f3150db | [
"MIT"
] | null | null | null | DP&Memorization/272.py | wilbertgeng/LintCode_exercise | e7a343b746e98ca3b4bc7b36655af7291f3150db | [
"MIT"
] | null | null | null | """272. Climbing Stairs II
"""
class Solution:
"""
@param n: An integer
@return: An Integer
"""
def climbStairs2(self, n):
# write your code here
if n == 0: ## 0 is 1 step
return 1
if n <= 2:
return n
last_two_step = 1
last_step = 1
... | 21.043478 | 94 | 0.508264 | 452 | 0.933884 | 0 | 0 | 0 | 0 | 0 | 0 | 127 | 0.262397 |
a635f25e0d832aa8c213627d281f0fbe8a76415f | 9,791 | py | Python | train_due.py | BlackHC/DUE | e6370a89f9aab8bfbbafe0d9a544dd637867751d | [
"MIT"
] | 49 | 2021-02-23T14:34:04.000Z | 2022-03-24T22:50:02.000Z | train_due.py | BlackHC/DUE | e6370a89f9aab8bfbbafe0d9a544dd637867751d | [
"MIT"
] | 2 | 2021-12-06T22:25:41.000Z | 2022-02-02T12:38:08.000Z | train_due.py | BlackHC/DUE | e6370a89f9aab8bfbbafe0d9a544dd637867751d | [
"MIT"
] | 13 | 2021-03-05T01:35:12.000Z | 2022-02-22T11:24:14.000Z | import argparse
import json
import torch
import torch.nn.functional as F
from torch.utils.tensorboard.writer import SummaryWriter
from ignite.engine import Events, Engine
from ignite.metrics import Accuracy, Average, Loss
from ignite.contrib.handlers import ProgressBar
from gpytorch.mlls import VariationalELBO
from ... | 28.297688 | 88 | 0.629456 | 0 | 0 | 0 | 0 | 1,840 | 0.187928 | 0 | 0 | 1,631 | 0.166582 |
a637253ad3b575ae1f1d91f3dfdeda8b63c8e5e1 | 14,583 | py | Python | gui.py | tea321000/image_semantic_segmentation | 80409858e8d44c1b24695035abf3a68fd83e9574 | [
"MIT"
] | 14 | 2020-06-20T01:52:56.000Z | 2021-12-11T01:13:23.000Z | gui.py | tea321000/image_semantic_segmentation | 80409858e8d44c1b24695035abf3a68fd83e9574 | [
"MIT"
] | 1 | 2020-12-28T13:32:19.000Z | 2020-12-28T13:32:19.000Z | gui.py | tea321000/image_semantic_segmentation | 80409858e8d44c1b24695035abf3a68fd83e9574 | [
"MIT"
] | 1 | 2020-10-15T11:57:45.000Z | 2020-10-15T11:57:45.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'gui4.ui'
#
# Created by: PyQt5 UI code generator 5.15.0
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, ... | 55.873563 | 149 | 0.696907 | 14,692 | 0.977837 | 0 | 0 | 0 | 0 | 0 | 0 | 2,355 | 0.156739 |
a6377793c412ebc024d19ecb586fc91e462e185d | 2,032 | py | Python | dataset/cifar10_c.py | xuanqing94/NeuralSDE | f3511799cfc9c3d6b95ff9bcb07563df88715e0c | [
"MIT"
] | 5 | 2020-06-28T07:15:35.000Z | 2022-01-20T01:52:31.000Z | dataset/cifar10_c.py | xuanqing94/NeuralSDE | f3511799cfc9c3d6b95ff9bcb07563df88715e0c | [
"MIT"
] | null | null | null | dataset/cifar10_c.py | xuanqing94/NeuralSDE | f3511799cfc9c3d6b95ff9bcb07563df88715e0c | [
"MIT"
] | null | null | null | from PIL import Image
import os
import numpy as np
import torch
import torch.utils.data as data
class CIFAR10_C(object):
def __init__(self, path, levels=[1,2,3,4,5]):
path = os.path.expanduser(path)
self.path = path
self.levels = levels
files = os.listdir(path)
datasets = [... | 30.328358 | 88 | 0.596457 | 1,809 | 0.890256 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.026083 |
a637a96d54f58cda8435da2b415a24a67ca1842e | 3,544 | py | Python | models/word2vec/cbow_model.py | ktodorov/eval-historical-texts | e2994d594525d1d92056a6398935376a96659abb | [
"MIT"
] | 9 | 2020-08-27T15:03:46.000Z | 2022-01-02T10:48:35.000Z | models/word2vec/cbow_model.py | ktodorov/eval-historical-texts | e2994d594525d1d92056a6398935376a96659abb | [
"MIT"
] | 16 | 2020-09-12T17:37:59.000Z | 2020-11-18T10:36:32.000Z | models/word2vec/cbow_model.py | ktodorov/eval-historical-texts | e2994d594525d1d92056a6398935376a96659abb | [
"MIT"
] | 1 | 2022-03-08T16:16:52.000Z | 2022-03-08T16:16:52.000Z | import os
from typing import Callable
import torch
from torch import nn
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
from overrides import overrides
from entities.metric import Metric
from entities.batch_representation import BatchRepresentation
from entities.options.embedding_layer_optio... | 38.945055 | 126 | 0.752822 | 2,641 | 0.745203 | 0 | 0 | 700 | 0.197517 | 0 | 0 | 0 | 0 |
a637ff1c369797ef1abc4107c3a9bce38ee9b23d | 990 | py | Python | mri_works/NodeEditor/modules/File_IO/Deleting_files_folders.py | montigno/mri_works | 8ec6ff1500aa34d3540e44e4b0148023cf821f61 | [
"CECILL-B"
] | 2 | 2020-08-20T21:00:53.000Z | 2021-08-16T15:28:51.000Z | mri_works/NodeEditor/modules/File_IO/Deleting_files_folders.py | montigno/mri_works | 8ec6ff1500aa34d3540e44e4b0148023cf821f61 | [
"CECILL-B"
] | 3 | 2020-09-24T06:50:43.000Z | 2020-12-15T11:02:04.000Z | mri_works/NodeEditor/modules/File_IO/Deleting_files_folders.py | montigno/mri_works | 8ec6ff1500aa34d3540e44e4b0148023cf821f61 | [
"CECILL-B"
] | 1 | 2020-08-20T21:00:59.000Z | 2020-08-20T21:00:59.000Z | class deleting_folder:
def __init__(self, input_folder='path', ignore_errors=False):
import shutil
shutil.rmtree(input_folder, ignore_errors=ignore_errors)
##############################################################################
class deleting_file:
def __init__(self, input_file='path... | 26.756757 | 78 | 0.435354 | 743 | 0.750505 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.29596 |
a63828f981b1214d9b5676be8d17b2e2e623a148 | 834 | py | Python | scripts/opts.py | RipZ/beerbox | b396c5f14ed088ac82c2ebcea9746456748d763d | [
"Apache-2.0"
] | null | null | null | scripts/opts.py | RipZ/beerbox | b396c5f14ed088ac82c2ebcea9746456748d763d | [
"Apache-2.0"
] | null | null | null | scripts/opts.py | RipZ/beerbox | b396c5f14ed088ac82c2ebcea9746456748d763d | [
"Apache-2.0"
] | null | null | null | import argparse
parser = argparse.ArgumentParser(description='oled arguments')
parser.add_argument(
'--port', '-p',
type=int,
default=0,
help='i2c bus number',
)
parser.add_argument(
'--parameter', '-t',
type=str,
default='',
help='parameter to display',
)
parser.add_argument(
'--va... | 20.341463 | 62 | 0.642686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.284173 |
a63954e3462fad8db808fe79ee0028680cc60ef9 | 12,864 | py | Python | alphacsc/tests/test_d_solver.py | dinalzein/alphacsc | dab672c4da54ed1b89f2364f552cf9b0707fcaeb | [
"BSD-3-Clause"
] | null | null | null | alphacsc/tests/test_d_solver.py | dinalzein/alphacsc | dab672c4da54ed1b89f2364f552cf9b0707fcaeb | [
"BSD-3-Clause"
] | null | null | null | alphacsc/tests/test_d_solver.py | dinalzein/alphacsc | dab672c4da54ed1b89f2364f552cf9b0707fcaeb | [
"BSD-3-Clause"
] | null | null | null | import pytest
from numpy.testing import assert_allclose
import numpy as np
from alphacsc.tests.conftest import N_CHANNELS, N_TIMES_ATOM, N_ATOMS
from alphacsc.update_d_multi import prox_d, prox_uv
from alphacsc._d_solver import get_solver_d, check_solver_and_constraints
from alphacsc._z_encoder import get_z_encoder_... | 36.134831 | 89 | 0.576803 | 0 | 0 | 0 | 0 | 12,495 | 0.971315 | 0 | 0 | 2,612 | 0.203047 |
a639c17d6fd2fadfce0ccee6caacea6630ec1b9f | 1,931 | py | Python | deploy/app/pipeline.py | PBenavides/credit-fraud-API | 154b7ab2247f89649f8244b35d115cf352be23a5 | [
"MIT"
] | null | null | null | deploy/app/pipeline.py | PBenavides/credit-fraud-API | 154b7ab2247f89649f8244b35d115cf352be23a5 | [
"MIT"
] | null | null | null | deploy/app/pipeline.py | PBenavides/credit-fraud-API | 154b7ab2247f89649f8244b35d115cf352be23a5 | [
"MIT"
] | null | null | null | import pandas as pd
import datetime
import numpy as np
import json
from app import artifacts_dict as artifacts
from app.utils import get_time_now, get_time_sin_cos
class InferencePipeline():
"""Pipeline to receive data_dict and transform for inference.
---------
Parameters:
data_dict: from the reque... | 25.407895 | 102 | 0.616261 | 1,763 | 0.912998 | 0 | 0 | 0 | 0 | 0 | 0 | 614 | 0.31797 |
a639e39129cf3e132136165ec24e35e67033099f | 1,054 | py | Python | setup.py | bfontaine/wpydumps | f01ff6fc7dfae75a5b1526d26e33d92410898971 | [
"MIT"
] | 1 | 2021-01-06T17:49:01.000Z | 2021-01-06T17:49:01.000Z | setup.py | bfontaine/wpydumps | f01ff6fc7dfae75a5b1526d26e33d92410898971 | [
"MIT"
] | null | null | null | setup.py | bfontaine/wpydumps | f01ff6fc7dfae75a5b1526d26e33d92410898971 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
from setuptools import setup
# http://stackoverflow.com/a/7071358/735926
import re
VERSIONFILE = 'wpydumps/__init__.py'
verstrline = open(VERSIONFILE, 'rt').read()
VSRE = r'^__version__\s+=\s+[\'"]([^\'"]+)[\'"]'
mo = re.search(VSRE, verstrline, re.M)
if mo:
verstr = mo.group(1)
else:
... | 28.486486 | 76 | 0.634725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.483871 |
a63b3f2f9f2a7bfd879e5b06a05f0c6a64277b8f | 1,343 | py | Python | ambiente_virtual/Lib/site-packages/alembic/testing/suite/test_op.py | PI-UNIVESP-Penapolis/PRODEA | 1ced58f52bace8b6de0de3c6516b9fb7231da09c | [
"MIT"
] | 1,324 | 2018-11-27T05:44:41.000Z | 2022-03-30T19:49:20.000Z | ambiente_virtual/Lib/site-packages/alembic/testing/suite/test_op.py | PI-UNIVESP-Penapolis/PRODEA | 1ced58f52bace8b6de0de3c6516b9fb7231da09c | [
"MIT"
] | 452 | 2018-11-27T22:43:38.000Z | 2022-03-28T04:33:43.000Z | ambiente_virtual/Lib/site-packages/alembic/testing/suite/test_op.py | PI-UNIVESP-Penapolis/PRODEA | 1ced58f52bace8b6de0de3c6516b9fb7231da09c | [
"MIT"
] | 159 | 2018-11-29T18:46:15.000Z | 2022-03-28T16:34:19.000Z | """Test against the builders in the op.* module."""
from sqlalchemy import Column
from sqlalchemy import event
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy.sql import text
from ...testing.fixtures import AlterColRoundTripFixture
from ...testing.fixtures imp... | 31.232558 | 77 | 0.706627 | 818 | 0.609084 | 0 | 0 | 186 | 0.138496 | 0 | 0 | 234 | 0.174237 |
a63bcfa9188011d5f54844e668d23332501081e1 | 36,617 | py | Python | xData/multiD_XYs.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 14 | 2019-08-29T23:46:24.000Z | 2022-03-21T10:16:25.000Z | xData/multiD_XYs.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 1 | 2020-08-04T16:14:45.000Z | 2021-12-01T01:54:34.000Z | xData/multiD_XYs.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 2 | 2022-03-03T22:41:41.000Z | 2022-03-03T22:54:43.000Z | # <<BEGIN-copyright>>
# Copyright 2021, Lawrence Livermore National Security, LLC.
# See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
# <<END-copyright>>
"""
This module contains the XYsnd classes for n > 1.
"""
__metaclass__ = type
"""
Missing methods
copyDataToGridWsAn... | 49.482432 | 198 | 0.598984 | 35,316 | 0.96447 | 0 | 0 | 4,454 | 0.121637 | 0 | 0 | 7,168 | 0.195756 |