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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d9ba685306c9e411a69887a2a301808cbaa104cb | 340 | py | Python | configs/_base_/models/efficientnet_b0.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 1 | 2022-03-22T02:54:57.000Z | 2022-03-22T02:54:57.000Z | configs/_base_/models/efficientnet_b0.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | null | null | null | configs/_base_/models/efficientnet_b0.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 1 | 2022-03-25T08:40:07.000Z | 2022-03-25T08:40:07.000Z | # model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='EfficientNet', arch='b0'),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=1280,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
... | 26.153846 | 60 | 0.614706 |
c957806cafff3e442413bd33645f1403291dee75 | 6,723 | py | Python | pebbleGame.py | CharlesLiu7/Pebble-Game | 1978a6ff1aeedc69af8074992fc9ea29bae5eb44 | [
"MIT"
] | 2 | 2020-04-30T02:59:55.000Z | 2021-06-06T17:57:12.000Z | pebbleGame.py | CharlesLiu7/Pebble-Game | 1978a6ff1aeedc69af8074992fc9ea29bae5eb44 | [
"MIT"
] | null | null | null | pebbleGame.py | CharlesLiu7/Pebble-Game | 1978a6ff1aeedc69af8074992fc9ea29bae5eb44 | [
"MIT"
] | null | null | null | #! /usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'Charles'
import json
import logging
import sys
logging.basicConfig(
level=logging.INFO,
format=''.join(['[%(asctime)s] ',
'%(message)s']),
datefmt='%m-%d %T',
stream=sys.stdout,
)
logger = logging.getLogger(__name__)
def f... | 35.384211 | 109 | 0.493381 |
6bc393f2a2a96d3bd2e341c4d494b53d3b1bdc6e | 4,577 | py | Python | dispersion_curves.py | czdong2001/JointInv | d4327e2cb7332d28f19f06a26662dcbd9215de75 | [
"MIT"
] | 6 | 2017-09-07T04:35:18.000Z | 2022-01-18T13:46:19.000Z | dispersion_curves.py | SeisPider/JointInv | d4327e2cb7332d28f19f06a26662dcbd9215de75 | [
"MIT"
] | null | null | null | dispersion_curves.py | SeisPider/JointInv | d4327e2cb7332d28f19f06a26662dcbd9215de75 | [
"MIT"
] | 7 | 2018-06-23T00:29:09.000Z | 2019-12-24T08:21:16.000Z | #!/usr/bin/python -u
"""
[Advice: run this script using python with unbuffered output:
`python -u dispersion_curves.py`]
This script implements the two-step frequency-time analysis
(FTAN) on a set of cross-correlations, as described by Levshin &
Ritzwoller, "Automated detection, extraction, and measurement
of regional... | 44.436893 | 86 | 0.742189 |
5359ea5acd3b7e2bf04c72ffc3d88f8d1147e5e4 | 11,483 | py | Python | uviewsd/gl/shape.py | DanielSpringall/UViewSD | 9adb24be660496b28382aa4fdd0fbe596e696acc | [
"MIT"
] | null | null | null | uviewsd/gl/shape.py | DanielSpringall/UViewSD | 9adb24be660496b28382aa4fdd0fbe596e696acc | [
"MIT"
] | null | null | null | uviewsd/gl/shape.py | DanielSpringall/UViewSD | 9adb24be660496b28382aa4fdd0fbe596e696acc | [
"MIT"
] | null | null | null | # Copyright 2021 by Daniel Springall.
# This file is part of UViewSD, and is released under the "MIT License Agreement".
# Please see the LICENSE file that should have been included as part of this package.
from uviewsd.gl import utils as ug_utils
from ctypes import c_void_p
from OpenGL import GL
import numpy as np
i... | 33.576023 | 127 | 0.579552 |
25538f43bdc59ae0fd5757b93d0c11eaf16d0079 | 1,084 | py | Python | human_services/services/models.py | DarwishMenna/pathways-backend | e9825e0373c586ce8f07ee8b70aecc7de679fb41 | [
"BSD-3-Clause"
] | null | null | null | human_services/services/models.py | DarwishMenna/pathways-backend | e9825e0373c586ce8f07ee8b70aecc7de679fb41 | [
"BSD-3-Clause"
] | null | null | null | human_services/services/models.py | DarwishMenna/pathways-backend | e9825e0373c586ce8f07ee8b70aecc7de679fb41 | [
"BSD-3-Clause"
] | null | null | null | from common.models import ValidateOnSaveMixin, RequiredCharField
from django.core import validators
from django.db import models
from parler.models import TranslatableModel, TranslatedFields
from human_services.organizations.models import Organization
from taxonomies.models import TaxonomyTerm
class Service(ValidateO... | 41.692308 | 88 | 0.651292 |
1bb219236def2036b4b2c1a764d19f9863791935 | 48,830 | py | Python | env/Lib/site-packages/arrow/arrow.py | assafse/extract-news-api | 9e23333094117655146c0e4c128f19173d0a77a2 | [
"MIT"
] | 1 | 2021-03-28T14:16:03.000Z | 2021-03-28T14:16:03.000Z | env/Lib/site-packages/arrow/arrow.py | assafse/extract-news-api | 9e23333094117655146c0e4c128f19173d0a77a2 | [
"MIT"
] | 6 | 2020-09-05T01:40:23.000Z | 2022-03-12T00:40:58.000Z | env/Lib/site-packages/arrow/arrow.py | assafse/extract-news-api | 9e23333094117655146c0e4c128f19173d0a77a2 | [
"MIT"
] | 1 | 2020-09-05T00:19:03.000Z | 2020-09-05T00:19:03.000Z | # -*- coding: utf-8 -*-
"""
Provides the :class:`Arrow <arrow.arrow.Arrow>` class, an enhanced ``datetime``
replacement.
"""
from __future__ import absolute_import
import calendar
import sys
from datetime import datetime, timedelta
from datetime import tzinfo as dt_tzinfo
from math import trunc
from dateutil import... | 32.705961 | 138 | 0.549293 |
fa362368af5a8f2b7236b4da31abb8f9fce20392 | 1,165 | py | Python | NLP/hyeonSu/hs_test/model.py | defwdahyun0/FindMap | e0fd142e906eb8f58064804e55659fff3fe106fa | [
"Apache-2.0"
] | 3 | 2021-12-23T14:05:19.000Z | 2022-03-25T03:12:34.000Z | NLP/hyeonSu/hs_test/model.py | defwdahyun0/FindMap | e0fd142e906eb8f58064804e55659fff3fe106fa | [
"Apache-2.0"
] | null | null | null | NLP/hyeonSu/hs_test/model.py | defwdahyun0/FindMap | e0fd142e906eb8f58064804e55659fff3fe106fa | [
"Apache-2.0"
] | null | null | null | from pororo import Pororo
class Categorize :
def __init__ (self,search_idx) :
self.search_idx = search_idx
self.db_ctg_list = ['문학/책', '영화', '미술/디자인', '공연/전시', '음악', '드라마', '스타/연예인', '만화/애니',
'방송', '일상/생각', '육아/결혼', '애완/반려동물', '좋은글/이미지', '패션/미용', '인테리어/DIY',
... | 32.361111 | 108 | 0.442918 |
db67d6a64795da1ff592ecd36f35515c35065d7e | 2,381 | py | Python | Bot/Helpers/cache.py | wurgo/Mecha-Karen-Source-Code | 90776bc0e9e259ff62b47f71057d17826056d164 | [
"Apache-2.0"
] | null | null | null | Bot/Helpers/cache.py | wurgo/Mecha-Karen-Source-Code | 90776bc0e9e259ff62b47f71057d17826056d164 | [
"Apache-2.0"
] | null | null | null | Bot/Helpers/cache.py | wurgo/Mecha-Karen-Source-Code | 90776bc0e9e259ff62b47f71057d17826056d164 | [
"Apache-2.0"
] | null | null | null | import json, asyncio
class Cache:
def __init__(self, cache = None):
self.cache = cache or {} ## Load pre-exising cache if you like
async def base_template(self, user_id: int) -> bool:
if user_id in self.cache:
return False
self.cache.update({user_id: {
... | 29.7625 | 89 | 0.539689 |
abcf9517a7c4db3f9181cb9258af606957c5612d | 7,509 | py | Python | dds_web/development/factories.py | talavis/dds_web | 576b5e36e981182cc7f3440c96bf7d1a038dfaef | [
"BSD-3-Clause"
] | 3 | 2021-06-18T09:38:28.000Z | 2022-02-28T19:37:54.000Z | dds_web/development/factories.py | talavis/dds_web | 576b5e36e981182cc7f3440c96bf7d1a038dfaef | [
"BSD-3-Clause"
] | 610 | 2021-05-12T08:33:31.000Z | 2022-03-31T14:55:05.000Z | dds_web/development/factories.py | MatthiasZepper/dds_web | 28c297f15017eaf17328b607ba242c9587c24eb9 | [
"BSD-3-Clause"
] | 12 | 2021-05-19T10:33:45.000Z | 2022-03-16T10:23:27.000Z | import factory
import os
import itertools
import random
import flask
import dds_web.database.models as models
from dds_web import db
from dds_web.crypt import key_gen
STATUSES_PER_PROJECT = 5
FILES_PER_PROJECT = 100
NR_UNITS = 10
USERS_PER_UNIT = 10
PROJECTS_PER_UNIT = 100
EMAILS_PER_USER = 3
class UnitFactory(fact... | 30.52439 | 95 | 0.657611 |
2f4b232313275f3f862b29c188158457bdfbd471 | 5,882 | py | Python | haystack/nodes/reader/base.py | OmniscienceAcademy/haystack | 46fa166c36d4b2fb0f428041fb048e50613553a9 | [
"Apache-2.0"
] | null | null | null | haystack/nodes/reader/base.py | OmniscienceAcademy/haystack | 46fa166c36d4b2fb0f428041fb048e50613553a9 | [
"Apache-2.0"
] | null | null | null | haystack/nodes/reader/base.py | OmniscienceAcademy/haystack | 46fa166c36d4b2fb0f428041fb048e50613553a9 | [
"Apache-2.0"
] | null | null | null | from typing import List, Optional, Sequence, Dict, Tuple
import numpy as np
from scipy.special import expit
from abc import abstractmethod
from copy import deepcopy
from functools import wraps
from time import perf_counter
from haystack.schema import Document, Answer, Span, MultiLabel
from haystack.nodes.base import ... | 40.847222 | 177 | 0.631418 |
8ed659715ea33db745291ae5a5858cb507568e56 | 1,569 | py | Python | vis_data.py | DLR-RM/SyntheticDataLocalization | 68eda127a0ae7d6a2c98e9b6fc8b49d0e761af9c | [
"MIT"
] | 3 | 2021-06-08T14:57:32.000Z | 2021-12-03T17:20:11.000Z | vis_data.py | DLR-RM/SyntheticDataLocalization | 68eda127a0ae7d6a2c98e9b6fc8b49d0e761af9c | [
"MIT"
] | null | null | null | vis_data.py | DLR-RM/SyntheticDataLocalization | 68eda127a0ae7d6a2c98e9b6fc8b49d0e761af9c | [
"MIT"
] | null | null | null | import argparse
import matplotlib.pyplot as plt
import numpy as np
from src.data.Data import Data
from src.utils.Config import Config
parser = argparse.ArgumentParser(description="")
parser.add_argument('config')
args = parser.parse_args()
config = Config.from_file(args.config)
data = Data(config.get_with_prefix("d... | 34.108696 | 131 | 0.643722 |
ec6f82f7f48fccfd3274e9abd35917bddb652b68 | 30 | py | Python | src/primer_tk/constants.py | drkennetz/PrimerTK | 5a511f25bd9898bd37b236f74e5b52df02475226 | [
"Apache-2.0"
] | 9 | 2019-09-27T20:29:39.000Z | 2022-02-18T19:53:13.000Z | src/primer_tk/constants.py | drkennetz/PrimerTK | 5a511f25bd9898bd37b236f74e5b52df02475226 | [
"Apache-2.0"
] | 9 | 2019-11-22T18:16:44.000Z | 2021-08-17T21:17:17.000Z | src/primer_tk/constants.py | drkennetz/PrimerTK | 5a511f25bd9898bd37b236f74e5b52df02475226 | [
"Apache-2.0"
] | 6 | 2020-03-16T07:37:23.000Z | 2021-03-30T18:25:54.000Z | START_POS=10000
END_POS=11000
| 10 | 15 | 0.866667 |
ba8488f3ab7456f31ef8f95fc5843b08dcf4921b | 3,310 | py | Python | readers/labjack.py | dayne/mini-monitor | 7d6cc8af8877152a04a6deeb9940101f9dcade56 | [
"Apache-2.0"
] | null | null | null | readers/labjack.py | dayne/mini-monitor | 7d6cc8af8877152a04a6deeb9940101f9dcade56 | [
"Apache-2.0"
] | null | null | null | readers/labjack.py | dayne/mini-monitor | 7d6cc8af8877152a04a6deeb9940101f9dcade56 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""Module used to read temperature sensors connected to the thermistor board
on a Labjack U3.
"""
import time
import base_reader, myU3, thermistor
def readTemp(dev, th, ch, vref):
"""Returns a temperature value from a thermistor connected to a Labjack U3
device.
'dev' is an open MyU3 Lab... | 37.613636 | 101 | 0.582175 |
61d356c01171972c2b1e5225a5884e336089345a | 873 | py | Python | tools/gen_list.py | guoqingMeng/facedetection-train | b11570fd615556520c83910a698678e4dc3b3aae | [
"MIT"
] | 1 | 2020-07-11T02:47:40.000Z | 2020-07-11T02:47:40.000Z | tools/gen_list.py | guoqingMeng/facedetection-train | b11570fd615556520c83910a698678e4dc3b3aae | [
"MIT"
] | 1 | 2020-07-11T02:47:35.000Z | 2020-07-11T02:47:35.000Z | tools/gen_list.py | guoqingMeng/facedetection-train | b11570fd615556520c83910a698678e4dc3b3aae | [
"MIT"
] | null | null | null | import os
def ReadFileDir(path, pattern = ".json"):
file = []
pfile = []
dirs = os.listdir(path) # 获取指定路径下的文件
for i in dirs: # 循环读取路径下的文件并筛选输出
if os.path.splitext(i)[1] == pattern: # 筛选json文件
file.append(i)
pfile.append(os... | 26.454545 | 64 | 0.526919 |
fd95c7b25da00b6726559e828f93e9e12bbb3129 | 5,615 | py | Python | configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py | AiLvv/mmdetection | 2489aa4fc8df3b4c39c1cc72571a677e4451a44c | [
"Apache-2.0"
] | null | null | null | configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py | AiLvv/mmdetection | 2489aa4fc8df3b4c39c1cc72571a677e4451a44c | [
"Apache-2.0"
] | null | null | null | configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py | AiLvv/mmdetection | 2489aa4fc8df3b4c39c1cc72571a677e4451a44c | [
"Apache-2.0"
] | null | null | null | # model settings
model = dict(
type='FasterRCNN',
pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
style='pytorch'),
... | 31.544944 | 78 | 0.586109 |
c61b1aad1e75b75e5c8957ba392fa990b04241e7 | 208 | py | Python | Nombres/Base10.py | Krolov18/Languages | 549952886f73f0b8e1b9e6393875f5473b591407 | [
"Apache-2.0"
] | 1 | 2019-12-11T14:56:09.000Z | 2019-12-11T14:56:09.000Z | Nombres/Base10.py | Krolov18/Languages | 549952886f73f0b8e1b9e6393875f5473b591407 | [
"Apache-2.0"
] | null | null | null | Nombres/Base10.py | Krolov18/Languages | 549952886f73f0b8e1b9e6393875f5473b591407 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import NumberSyntax10
import NumberLexicon
class Base10(NumberLexicon.NumberLexicon, NumberSyntax10.NumberSyntaxe10):
pass
def main():
pass
if __name__ == '__main__':
main()
| 13 | 74 | 0.730769 |
d45cc48672622c24a1d46a101b348129b6347436 | 4,382 | py | Python | automox_console_sdk/models/user_id_api_keys_body.py | ax-ncolyer/automox-console-sdk-python | 27ba2279e2d59e3f0cbfc00e34eddb51838e402e | [
"MIT"
] | null | null | null | automox_console_sdk/models/user_id_api_keys_body.py | ax-ncolyer/automox-console-sdk-python | 27ba2279e2d59e3f0cbfc00e34eddb51838e402e | [
"MIT"
] | null | null | null | automox_console_sdk/models/user_id_api_keys_body.py | ax-ncolyer/automox-console-sdk-python | 27ba2279e2d59e3f0cbfc00e34eddb51838e402e | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Automox Console API
API for use with the Automox Console # noqa: E501
OpenAPI spec version: 2021-09-01
Contact: support@automox.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class UserIdApiKeysBody... | 30.859155 | 138 | 0.582154 |
8976e6fd6cdc70e1ff96cf743b069d14673e665e | 3,645 | py | Python | Extended_Methods/Downstream_analysis/scripts/2_generate_random_pair_from_bg.py | heyuan7676/ts_eQTLs | 62b04f5477183f5c0cb60f21264b3147fd8bd82a | [
"CC-BY-4.0"
] | 19 | 2019-10-02T20:50:08.000Z | 2021-07-21T16:49:21.000Z | Extended_Methods/Downstream_analysis/scripts/2_generate_random_pair_from_bg.py | heyuan7676/ts_eQTLs | 62b04f5477183f5c0cb60f21264b3147fd8bd82a | [
"CC-BY-4.0"
] | 2 | 2020-04-07T10:53:35.000Z | 2021-05-15T15:35:51.000Z | Extended_Methods/Downstream_analysis/scripts/2_generate_random_pair_from_bg.py | heyuan7676/ts_eQTLs | 62b04f5477183f5c0cb60f21264b3147fd8bd82a | [
"CC-BY-4.0"
] | 1 | 2020-09-14T11:40:55.000Z | 2020-09-14T11:40:55.000Z | from GLOBAL_VAR import *
from METHOD_VAR import *
from collections import Counter
def append_df_change_index(gi_dat, mm, nn, mm_l, nn_l):
try:
df_temp = gi_dat.loc[mm_l, nn_l]
except:
return gi_dat
index_array = [[int(mm)] * len(df_temp), [int(nn)] * len(df_temp)]
df_temp.index = index_array
... | 30.375 | 146 | 0.632099 |
3c719f3a4d79e8519b7ace13a893ee52b8433355 | 2,865 | py | Python | rest-api-example.py | Devops-as-a-Service-Project/python-api | 1a67bb57521915634629932bfc6d3451aed40c31 | [
"Apache-2.0"
] | null | null | null | rest-api-example.py | Devops-as-a-Service-Project/python-api | 1a67bb57521915634629932bfc6d3451aed40c31 | [
"Apache-2.0"
] | null | null | null | rest-api-example.py | Devops-as-a-Service-Project/python-api | 1a67bb57521915634629932bfc6d3451aed40c31 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, jsonify, request
app = Flask(__name__)
stores = [ #list of dictionaries
{
'name': 'amit store',
'items': [
{
'name': 'My item',
'price': 15.99
}
]
},
{
'name': 'itamar store',
... | 33.705882 | 140 | 0.599651 |
67458c2ad45b7bfaef99ffb3e4f71d984acdcc1c | 28,578 | py | Python | Python_OCR_JE/venv/Lib/site-packages/numpy/core/tests/test_array_coercion.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_OCR_JE/venv/Lib/site-packages/numpy/core/tests/test_array_coercion.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_OCR_JE/venv/Lib/site-packages/numpy/core/tests/test_array_coercion.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2021-04-26T22:41:56.000Z | 2021-04-26T22:41:56.000Z | """
Tests for array coercion, mainly through testing `np.array` results directly.
Note that other such tests exist e.g. in `test_api.py` and many corner-cases
are tested (sometimes indirectly) elsewhere.
"""
import pytest
from pytest import param
from itertools import product
import numpy as np
from nump... | 38.934605 | 84 | 0.584611 |
06b8f328257a8c296b30909d5ae051bbd019817b | 4,577 | py | Python | vega/algorithms/nas/auto_lane/utils/resnext_all_variant_codec.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 724 | 2020-06-22T12:05:30.000Z | 2022-03-31T07:10:54.000Z | vega/algorithms/nas/auto_lane/utils/resnext_all_variant_codec.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 147 | 2020-06-30T13:34:46.000Z | 2022-03-29T11:30:17.000Z | vega/algorithms/nas/auto_lane/utils/resnext_all_variant_codec.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 160 | 2020-06-29T18:27:58.000Z | 2022-03-23T08:42:21.000Z | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | 34.413534 | 120 | 0.575923 |
6badaf3c15932ba62a40638121ca0afdd4849e82 | 1,339 | py | Python | Python/find-k-th-smallest-pair-distance.py | ruikunl/LeetCode | dae98754eb02d68139028f72f894411a3ed12305 | [
"MIT"
] | 5 | 2017-11-14T09:32:33.000Z | 2020-05-11T05:15:41.000Z | Python/find-k-th-smallest-pair-distance.py | ruikunl/LeetCode | dae98754eb02d68139028f72f894411a3ed12305 | [
"MIT"
] | null | null | null | Python/find-k-th-smallest-pair-distance.py | ruikunl/LeetCode | dae98754eb02d68139028f72f894411a3ed12305 | [
"MIT"
] | 8 | 2020-02-20T08:21:12.000Z | 2022-02-17T05:53:21.000Z | # Time: O(nlogn + nlogw), n = len(nums), w = max(nums)-min(nums)
# Space: O(1)
# Given an integer array, return the k-th smallest distance among all the pairs.
# The distance of a pair (A, B) is defined as the absolute difference between A and B.
#
# Example 1:
# Input:
# nums = [1,3,1]
# k = 1
# Output: 0
# Explana... | 26.78 | 86 | 0.519791 |
a97e92695eb2430569450ba821cbce38be91d10a | 1,985 | py | Python | tests/importer/tflite/basic/test_batch_to_space.py | louareg/nncase | 0125654eb57b7ff753fe9c396c84b264c01f34d3 | [
"Apache-2.0"
] | null | null | null | tests/importer/tflite/basic/test_batch_to_space.py | louareg/nncase | 0125654eb57b7ff753fe9c396c84b264c01f34d3 | [
"Apache-2.0"
] | null | null | null | tests/importer/tflite/basic/test_batch_to_space.py | louareg/nncase | 0125654eb57b7ff753fe9c396c84b264c01f34d3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019-2021 Canaan 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 writ... | 28.768116 | 111 | 0.70529 |
1142e5a76c6d118c4912e1f0ad1ee395073459c0 | 1,460 | py | Python | db/search_indexes.py | TelferLab/mofdb-web | 91e70ca2e1414e6b830e02b736426636449da772 | [
"MIT"
] | 1 | 2018-02-20T23:50:27.000Z | 2018-02-20T23:50:27.000Z | db/search_indexes.py | TelferLab/mofdb-web | 91e70ca2e1414e6b830e02b736426636449da772 | [
"MIT"
] | null | null | null | db/search_indexes.py | TelferLab/mofdb-web | 91e70ca2e1414e6b830e02b736426636449da772 | [
"MIT"
] | null | null | null | from haystack import indexes
from db.models import Reaction
from db.models import Mof
from db.models import Ligand
from db.models import ChemicalCompound
class MofIndex(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document=True, use_template=True)
date_creation = indexes.DateTimeField(mod... | 34.761905 | 79 | 0.780822 |
253ad4b03b37960acc72de0d1260a13d11cd2227 | 55 | py | Python | utilbox/pdf_utils/__init__.py | jensonjose/utilbox | f47ac1c97fdd3f7caf8ea1c6b693ea115076f0e8 | [
"MIT"
] | 1 | 2017-07-08T17:59:09.000Z | 2017-07-08T17:59:09.000Z | utilbox/pdf_utils/__init__.py | jensonjose/utilbox | f47ac1c97fdd3f7caf8ea1c6b693ea115076f0e8 | [
"MIT"
] | 1 | 2017-08-12T13:51:37.000Z | 2017-08-12T13:51:37.000Z | utilbox/pdf_utils/__init__.py | jensonjose/utilbox | f47ac1c97fdd3f7caf8ea1c6b693ea115076f0e8 | [
"MIT"
] | 1 | 2018-10-27T06:13:22.000Z | 2018-10-27T06:13:22.000Z | from pdf_utils import PdfUtils
__all__ = ["PdfUtils"]
| 13.75 | 30 | 0.763636 |
9142fbf9413ca8a423cc9c96075096989c82c987 | 7,530 | py | Python | bdlb/diabetic_retinopathy_diagnosis/tfds_adapter.py | uai-paper-839/bdlb | 0530f4cd90c868de7edaeb26b34c4f9a64165650 | [
"Apache-2.0"
] | 1 | 2020-07-15T22:21:52.000Z | 2020-07-15T22:21:52.000Z | bdlb/diabetic_retinopathy_diagnosis/tfds_adapter.py | uai-paper-839/bdlb | 0530f4cd90c868de7edaeb26b34c4f9a64165650 | [
"Apache-2.0"
] | 4 | 2020-09-25T19:06:35.000Z | 2021-11-10T19:40:34.000Z | bdlb/diabetic_retinopathy_diagnosis/tfds_adapter.py | icml-paper-2959/bdlb | de746d1911d6f8373435856a551a17773d6f25f7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 BDL Benchmarks 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... | 34.700461 | 91 | 0.599734 |
e455aeb5aab7543b54bdd8f4af3e12a97f080e73 | 4,764 | py | Python | configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py | AgatheMo/DetectoRS | 4ec4b91c2b9b2bba7b6f828d3e49866af31242e8 | [
"Apache-2.0"
] | 1,141 | 2020-06-04T01:11:22.000Z | 2022-03-31T07:12:52.000Z | configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py | drcut/mmdetection | cd4e716b0470bde842c20c00f18cffa20c2673c1 | [
"Apache-2.0"
] | 98 | 2020-01-21T09:41:30.000Z | 2022-03-12T00:53:06.000Z | configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_mstrain_2x.py | drcut/mmdetection | cd4e716b0470bde842c20c00f18cffa20c2673c1 | [
"Apache-2.0"
] | 233 | 2020-01-18T03:46:27.000Z | 2022-03-19T03:17:47.000Z | # model settings
model = dict(
type='RetinaNet',
pretrained='open-mmlab://resnet101_caffe',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=False),
norm_eval=True,... | 29.407407 | 75 | 0.598866 |
49fa0d0e6d53b255326d962be416fc7ad3a0ad1c | 6,552 | py | Python | trainer.py | mathsam/DeepLearningCFD | d2c31223f87745c45c1d91d2d169d95861339337 | [
"MIT"
] | 3 | 2021-09-09T17:07:17.000Z | 2021-10-02T20:51:05.000Z | trainer.py | mathsam/DeepLearningCFD | d2c31223f87745c45c1d91d2d169d95861339337 | [
"MIT"
] | null | null | null | trainer.py | mathsam/DeepLearningCFD | d2c31223f87745c45c1d91d2d169d95861339337 | [
"MIT"
] | null | null | null | import time
import os
import torch
from torch import nn
from ml_models import SuperResolutionNet
from datasets import SRDataset
from utils import *
from torch.utils.tensorboard import SummaryWriter
# Data parameters
exp_name = "GAN_Sep10_exp2"
summary_writer = SummaryWriter(log_dir=exp_name)
data_folder = './exp2' #... | 38.541176 | 140 | 0.608822 |
a609c4c18429f3393a00a4d7cb6bdffa3a033937 | 2,253 | py | Python | tests/basetestcase.py | sioliv/University | 275f3ab7be238c6cbd3a54070172adb3c567c36f | [
"BSD-2-Clause",
"MIT"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | tests/basetestcase.py | sioliv/University | 275f3ab7be238c6cbd3a54070172adb3c567c36f | [
"BSD-2-Clause",
"MIT"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | tests/basetestcase.py | sioliv/University | 275f3ab7be238c6cbd3a54070172adb3c567c36f | [
"BSD-2-Clause",
"MIT"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | from __future__ import print_function
import unittest, pygame, pygame.display, time, os
import logging
logging.basicConfig(level=logging.INFO)
HERE = os.path.dirname( __file__ )
import pickle
try:
import cPickle
except ImportError as err:
cPickle = pickle
try:
from numpy import *
except ImportError as err... | 27.814815 | 65 | 0.676431 |
8d693e0861149c969f26cbab2a03c6fbfb145554 | 51 | py | Python | python/8Kyu/Beginner Series 4 Cockroach.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | python/8Kyu/Beginner Series 4 Cockroach.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | python/8Kyu/Beginner Series 4 Cockroach.py | athasv/Codewars-data | 5e106466e709fd776f23585ad9f652d0d65b48d3 | [
"MIT"
] | null | null | null | def cockroach_speed(s):
return int(s * 27.7778) | 25.5 | 27 | 0.686275 |
45ddb567319f81eacebbd378693f10cc3abf909c | 25,113 | py | Python | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/job/operations/job_operations.py | HydAu/AzureSDKForPython | 5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3 | [
"Apache-2.0"
] | null | null | null | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/job/operations/job_operations.py | HydAu/AzureSDKForPython | 5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3 | [
"Apache-2.0"
] | null | null | null | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/job/operations/job_operations.py | HydAu/AzureSDKForPython | 5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft and contributors. 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 ... | 45.994505 | 243 | 0.644447 |
d572837df894f41d14d1723ab038b13149b385f3 | 2,297 | py | Python | azure-quantum/azure/quantum/target/honeywell.py | jplewa/qdk-python | 0c48b2a2123ca47f004e5a121c050d5908eec4f4 | [
"MIT"
] | 53 | 2021-01-21T23:38:09.000Z | 2022-03-29T16:34:42.000Z | azure-quantum/azure/quantum/target/honeywell.py | jplewa/qdk-python | 0c48b2a2123ca47f004e5a121c050d5908eec4f4 | [
"MIT"
] | 152 | 2021-01-23T07:01:49.000Z | 2022-03-31T19:43:21.000Z | azure-quantum/azure/quantum/target/honeywell.py | slowy07/qdk-python | e4ce0c433cc986bc1c746e9a58f3f05733c657e2 | [
"MIT"
] | 47 | 2021-01-30T20:15:46.000Z | 2022-03-25T23:35:28.000Z | ##
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
##
import io
from typing import Any, Dict
from azure.quantum.target.target import Target
from azure.quantum.job.job import Job
from azure.quantum.workspace import Workspace
class Honeywell(Target):
"""Honeywell target."""
target_name... | 28.012195 | 65 | 0.583805 |
9350b958914889ebd48f583df37c20bfb216c1ad | 12,959 | py | Python | test/unit/test_cache.py | cwkrebs/dbt | 0b135772d2db2549225365eeeb465b5316930145 | [
"Apache-2.0"
] | 1 | 2022-01-09T19:33:25.000Z | 2022-01-09T19:33:25.000Z | test/unit/test_cache.py | cwkrebs/dbt | 0b135772d2db2549225365eeeb465b5316930145 | [
"Apache-2.0"
] | null | null | null | test/unit/test_cache.py | cwkrebs/dbt | 0b135772d2db2549225365eeeb465b5316930145 | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase
from dbt.adapters.cache import RelationsCache
from dbt.adapters.default.relation import DefaultRelation
from multiprocessing.dummy import Pool as ThreadPool
import dbt.exceptions
import random
import time
def make_relation(schema, identifier):
return DefaultRelation.create(schema=sc... | 39.509146 | 79 | 0.591481 |
c0dd026f51251ce00898d87622997423cc56198c | 7,444 | py | Python | src/plasticorigins/tracking/track_video.py | surfriderfoundationeurope/surfnet | ddbfa3e1b4e156febedc71992fe9a049c04504be | [
"MIT"
] | 4 | 2022-01-24T11:19:43.000Z | 2022-01-31T16:24:05.000Z | src/plasticorigins/tracking/track_video.py | surfriderfoundationeurope/surfnet | ddbfa3e1b4e156febedc71992fe9a049c04504be | [
"MIT"
] | 1 | 2022-02-07T08:30:10.000Z | 2022-02-07T08:30:10.000Z | src/plasticorigins/tracking/track_video.py | surfriderfoundationeurope/surfnet | ddbfa3e1b4e156febedc71992fe9a049c04504be | [
"MIT"
] | 2 | 2022-01-28T21:31:59.000Z | 2022-03-22T17:52:57.000Z | import numpy as np
from scipy.optimize import linear_sum_assignment
from scipy.spatial.distance import euclidean
from plasticorigins.tools.optical_flow import compute_flow
from plasticorigins.tracking.utils import in_frame
def init_trackers(
engine,
detections,
confs,
labels,
frame_nb,
state_... | 32.50655 | 101 | 0.562198 |
254b91cac81b43fe8d658b36b382dc3fdb404788 | 155 | py | Python | linkedin_api/utils/helpers.py | xiaoyongzhu/linkedin-api | 5dd1016f455b583ff6710f89db5f1069c219747e | [
"MIT"
] | 5 | 2019-10-14T03:52:53.000Z | 2021-12-25T23:06:16.000Z | linkedin_api/utils/helpers.py | xiaoyongzhu/linkedin-api | 5dd1016f455b583ff6710f89db5f1069c219747e | [
"MIT"
] | 1 | 2020-04-10T15:06:36.000Z | 2020-04-10T15:06:36.000Z | linkedin_api/utils/helpers.py | xiaoyongzhu/linkedin-api | 5dd1016f455b583ff6710f89db5f1069c219747e | [
"MIT"
] | 3 | 2019-11-23T08:19:06.000Z | 2020-03-06T03:54:35.000Z | def get_id_from_urn(urn):
"""
Return the ID of a given Linkedin URN.
Example: urn:li:fs_miniProfile:<id>
"""
return urn.split(":")[3]
| 19.375 | 42 | 0.606452 |
13910e17dc41d923866362a4d413fe1ec41e487c | 801 | py | Python | benchmarks/test.py | AishwaryaSeth/kdg | d3c146919c930f6598408b5518ccd8e1dd771867 | [
"MIT"
] | 2 | 2021-09-05T22:16:35.000Z | 2021-09-28T16:33:46.000Z | benchmarks/test.py | AishwaryaSeth/kdg | d3c146919c930f6598408b5518ccd8e1dd771867 | [
"MIT"
] | null | null | null | benchmarks/test.py | AishwaryaSeth/kdg | d3c146919c930f6598408b5518ccd8e1dd771867 | [
"MIT"
] | 1 | 2021-11-02T23:43:37.000Z | 2021-11-02T23:43:37.000Z | #%%
from kdg import kdf
from kdg.utils import get_ece
import openml
import multiprocessing
from joblib import Parallel, delayed
import numpy as np
import pandas as pd
from sklearn.model_selection import StratifiedKFold
from sklearn.ensemble import RandomForestClassifier as rf
from sklearn.metrics import cohen_kappa_sco... | 26.7 | 67 | 0.766542 |
fea13937911da04ed901115c66c6d5e9d8724cf4 | 4,673 | py | Python | src/updater/Updater.py | chpoit/utsushis-charm | 5c7389543bedbc61ccb938c6879e7155bb2fd3d2 | [
"MIT"
] | 14 | 2021-05-09T06:41:49.000Z | 2021-07-15T02:50:42.000Z | src/updater/Updater.py | chpoit/utsushis-charm | 5c7389543bedbc61ccb938c6879e7155bb2fd3d2 | [
"MIT"
] | 7 | 2021-05-12T13:35:34.000Z | 2022-02-03T18:17:52.000Z | src/updater/Updater.py | chpoit/utsushis-charm | 5c7389543bedbc61ccb938c6879e7155bb2fd3d2 | [
"MIT"
] | 4 | 2021-05-16T05:07:29.000Z | 2021-05-25T02:26:46.000Z | import webbrowser
import json
import os
from ..resources import (
get_latest_url,
get_language_url,
get_corrections_url,
get_corrections_path,
get_translation_location,
get_english_skill_mapping_url,
get_english_skill_mappping_location,
)
from .VersionChecker import VersionChecker
from urlli... | 38.619835 | 88 | 0.636422 |
fd5baf8f301a4912b1bd454e66076c35529db625 | 1,358 | py | Python | shopyo/modules/www/view.py | Bnseamster/shopyo | 945b4cf1ac9b4a4c33f6616c252a9ad22a197246 | [
"MIT"
] | null | null | null | shopyo/modules/www/view.py | Bnseamster/shopyo | 945b4cf1ac9b4a4c33f6616c252a9ad22a197246 | [
"MIT"
] | null | null | null | shopyo/modules/www/view.py | Bnseamster/shopyo | 945b4cf1ac9b4a4c33f6616c252a9ad22a197246 | [
"MIT"
] | null | null | null | import json
import os
# from flask import url_for
# from flask import redirect
# from flask import flash
# from flask import request
from flask import Blueprint
from flask import render_template
#
# from shopyoapi.html import notify_success
# from shopyoapi.forms import flash_errors
# from shopyoapi.enhance import ge... | 26.627451 | 79 | 0.743004 |
70b1eea2df939d4e73cb11bf2b0b2c275363545c | 1,387 | py | Python | nomadgram/notifications/migrations/0001_initial.py | syoung19940/nomadgram | 8556ac51d6ee6c49079086d6785accf440758037 | [
"MIT"
] | null | null | null | nomadgram/notifications/migrations/0001_initial.py | syoung19940/nomadgram | 8556ac51d6ee6c49079086d6785accf440758037 | [
"MIT"
] | 13 | 2020-06-05T18:23:55.000Z | 2022-03-03T22:32:50.000Z | nomadgram/notifications/migrations/0001_initial.py | syoung19940/nomadgram | 8556ac51d6ee6c49079086d6785accf440758037 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.6 on 2018-06-27 07:18
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('imag... | 40.794118 | 145 | 0.627974 |
fd8490cd0736b3be5cef8d4a5c5fa0917c4dc052 | 2,064 | py | Python | azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_my_sql_source.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_my_sql_source.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 54 | 2016-03-25T17:25:01.000Z | 2018-10-22T17:27:54.000Z | azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_my_sql_source.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 40.470588 | 167 | 0.633236 |
870c1b59349c3cbf31d5a5b258418a0dd47dd9e8 | 1,401 | py | Python | molsysmt/tools/file_pdb/__init__.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | null | null | null | molsysmt/tools/file_pdb/__init__.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | null | null | null | molsysmt/tools/file_pdb/__init__.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | null | null | null | from .is_file_pdb import is_file_pdb
from .download import download
from .replace_HETATM_by_ATOM_in_terminal_cappings import replace_HETATM_by_ATOM_in_terminal_cappings
from .has_atoms_with_alternate_locations import has_atoms_with_alternate_locations
from .to_string_pdb_text import to_string_pdb_text
from .to_file_mol... | 53.884615 | 100 | 0.910778 |
63d10d734e5cce3f42c3a80e769716c5b84a244a | 13,054 | py | Python | carsus/io/tests/test_output_tardis.py | parikshit14/carsus | 3f67e8068829829361d7b1da9020e1fde9dcac2e | [
"BSD-3-Clause"
] | 21 | 2016-06-01T16:12:03.000Z | 2022-02-04T09:03:38.000Z | carsus/io/tests/test_output_tardis.py | parikshit14/carsus | 3f67e8068829829361d7b1da9020e1fde9dcac2e | [
"BSD-3-Clause"
] | 149 | 2016-05-03T17:50:42.000Z | 2022-03-25T14:48:51.000Z | carsus/io/tests/test_output_tardis.py | parikshit14/carsus | 3f67e8068829829361d7b1da9020e1fde9dcac2e | [
"BSD-3-Clause"
] | 34 | 2016-05-03T16:39:11.000Z | 2022-02-03T16:39:49.000Z | import pytest
import os
import numpy as np
from numpy.testing import assert_almost_equal
from astropy import units as u
from astropy.tests.helper import assert_quantity_allclose
from sqlalchemy import and_
from carsus.io.output.tardis_ import AtomData
from carsus.model import DataSource, Ion
with_test_db = pytest.mar... | 36.261111 | 121 | 0.676881 |
cd4a2777a2a6e89adfb281f6808a4f2a03c9ab99 | 2,168 | py | Python | doc/conf.py | wrgl/python-sdk | 65ccd2797927fcb27cf32e0b06884046c15d85f5 | [
"Apache-2.0"
] | null | null | null | doc/conf.py | wrgl/python-sdk | 65ccd2797927fcb27cf32e0b06884046c15d85f5 | [
"Apache-2.0"
] | null | null | null | doc/conf.py | wrgl/python-sdk | 65ccd2797927fcb27cf32e0b06884046c15d85f5 | [
"Apache-2.0"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 30.971429 | 79 | 0.667435 |
88999a8708bc94c51132e60e73d8ec01c918a369 | 3,217 | py | Python | gale/databases/populateMongo.py | adamrpah/GALE | 94ab2613c5d53ea471f664a75c7d780a2689302f | [
"WTFPL"
] | null | null | null | gale/databases/populateMongo.py | adamrpah/GALE | 94ab2613c5d53ea471f664a75c7d780a2689302f | [
"WTFPL"
] | null | null | null | gale/databases/populateMongo.py | adamrpah/GALE | 94ab2613c5d53ea471f664a75c7d780a2689302f | [
"WTFPL"
] | null | null | null | '''
File: populateMongo.py
Author: Adam Pah
Description:
Populating mongo collections from standard types
'''
def from_list(settings, data, naming_scheme, exclusions = [], chunk_size = 100000, inclusion = {}):
'''
input:
settings - mongo connection settings (mongoConnect standard)
data - list o... | 32.826531 | 99 | 0.627914 |
a831fb7d8af6065f670728598bfe947fbc24eff7 | 4,694 | py | Python | src/single_image_inference.py | georghess/probdet | d44aa3115cf6c0b31a2570f9593d6fcd1adb09a4 | [
"Apache-2.0"
] | null | null | null | src/single_image_inference.py | georghess/probdet | d44aa3115cf6c0b31a2570f9593d6fcd1adb09a4 | [
"Apache-2.0"
] | null | null | null | src/single_image_inference.py | georghess/probdet | d44aa3115cf6c0b31a2570f9593d6fcd1adb09a4 | [
"Apache-2.0"
] | null | null | null | """
Probabilistic Detectron Single Image Inference Script
"""
import json
import os
import sys
import cv2
import torch
import tqdm
import core
# This is very ugly. Essential for now but should be fixed.
sys.path.append(os.path.join(core.top_dir(), "src", "detr"))
from detectron2.data import MetadataCatalog
from det... | 33.29078 | 94 | 0.622923 |
83e3bcd63ef190a4b256be5f12593a79fc7cecae | 1,990 | py | Python | ez_epub.py | RishabhBhatnagar/wattpad-ebook-scraper | 4b7eb5751e1ded26b696363c67d4da50eeec6842 | [
"MIT"
] | 29 | 2015-02-03T00:28:12.000Z | 2021-11-23T11:10:49.000Z | ez_epub.py | RishabhBhatnagar/wattpad-ebook-scraper | 4b7eb5751e1ded26b696363c67d4da50eeec6842 | [
"MIT"
] | 17 | 2015-06-17T22:17:28.000Z | 2019-01-04T04:08:15.000Z | ez_epub.py | RishabhBhatnagar/wattpad-ebook-scraper | 4b7eb5751e1ded26b696363c67d4da50eeec6842 | [
"MIT"
] | 13 | 2015-07-14T18:18:44.000Z | 2020-04-24T10:32:58.000Z | # Copyright (c) 2012, Bin Tan
# This file is distributed under the BSD Licence.
# See python-epub-builder-license.txt for details.
import epub
from genshi.template import TemplateLoader
class Section:
def __init__(self):
self.title = ''
self.subsections = []
self.css = ''
self.tex... | 33.728814 | 73 | 0.59799 |
f64e31bfd0f6648dd28ee1ba49ec0b4c5d992504 | 9,496 | py | Python | benchmark/mutual_information/classifier_test.py | dizcza/entropy-estimators | a12b9c5a0be5e7314a8392f1eafefd76a78b82f9 | [
"MIT"
] | 1 | 2021-04-13T06:41:14.000Z | 2021-04-13T06:41:14.000Z | benchmark/mutual_information/classifier_test.py | dizcza/entropy-estimators | a12b9c5a0be5e7314a8392f1eafefd76a78b82f9 | [
"MIT"
] | null | null | null | benchmark/mutual_information/classifier_test.py | dizcza/entropy-estimators | a12b9c5a0be5e7314a8392f1eafefd76a78b82f9 | [
"MIT"
] | 2 | 2020-05-13T11:59:49.000Z | 2020-07-30T08:41:36.000Z | from collections import defaultdict
import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.nn as nn
from functools import partial
from torch.utils.data import TensorDataset
from tqdm import tqdm, trange
from benchmark.mutual_information.mutual_information import MutualInfoTest
from estimators im... | 38.759184 | 79 | 0.615206 |
bd7ecdde99447760e2b853b7877be131c0143735 | 490 | py | Python | correct_programs/ethz_eprog_2019/exercise_10/__init__.py | ProLoD/aocdbc | b857e8deff87373039636c12a170c0086b19f04c | [
"MIT"
] | 8 | 2021-05-07T17:37:37.000Z | 2022-02-26T15:08:42.000Z | correct_programs/ethz_eprog_2019/exercise_10/__init__.py | ProLoD/aocdbc | b857e8deff87373039636c12a170c0086b19f04c | [
"MIT"
] | 22 | 2021-04-28T21:55:48.000Z | 2022-03-04T07:41:37.000Z | correct_programs/ethz_eprog_2019/exercise_10/__init__.py | ProLoD/aocdbc | b857e8deff87373039636c12a170c0086b19f04c | [
"MIT"
] | 3 | 2021-03-26T22:29:12.000Z | 2021-04-11T20:45:45.000Z | """
Provide problems and solutions for Exercise 10.
The original exercises can be retrieved from:
https://ethz.ch/content/dam/ethz/special-interest/infk/inst-cs/lst-dam/documents/Education/Classes/Fall2019/0027_Intro/Homework/u10.pdf
We intentionally skipped the problems of this exercise.
Please see the following pag... | 40.833333 | 135 | 0.818367 |
20415df44e64adc9128a3d9a1f4357c6a4d1d296 | 22,956 | py | Python | redactedapi.py | btchmistry/REDbetter3 | 1544f7ed013457568ec536301d8b3e35d2c9b718 | [
"Unlicense"
] | 2 | 2021-12-29T00:43:57.000Z | 2021-12-30T13:59:46.000Z | redactedapi.py | btchmistry/REDbetter3 | 1544f7ed013457568ec536301d8b3e35d2c9b718 | [
"Unlicense"
] | 2 | 2022-01-06T17:56:18.000Z | 2022-01-07T23:59:23.000Z | redactedapi.py | btchmistry/REDbetter3 | 1544f7ed013457568ec536301d8b3e35d2c9b718 | [
"Unlicense"
] | 1 | 2022-02-15T22:32:53.000Z | 2022-02-15T22:32:53.000Z | #!/usr/bin/env python3
import re
import json
import time
import requests
from utils import Utilities
from static import Static
import logging
# for later use: categories = {1: 'Music', 2: 'Applications', 3: 'E-Books',
# 4: 'Audiobooks', 5: 'E-Learning Videos', 6: 'Comedy', 7: 'Comics'}
ut = Utilities()
st = Static()... | 37.571195 | 146 | 0.502352 |
37fec3b4da1762b69c5b0bb0cb54e0ee36cb8be4 | 2,460 | py | Python | myfunds/tgbot/utils.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | myfunds/tgbot/utils.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | myfunds/tgbot/utils.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | import json
import logging
import threading
import time
from datetime import date as dt_date
from typing import List
from typing import Tuple
class InlineKeyboard:
def __init__(self, rows: int):
self._buttons = list([] for i in range(rows))
def add_button(self, row: int, text: str, callback_data: str... | 25.360825 | 88 | 0.627236 |
b7c88ec1fe26267c59a17aef3b50985e8c4e8b9b | 2,801 | py | Python | booktags/crawlers/base.py | MagicSword/Booktags | 44142e19aec5ce75266233964d7ab21503bbe57c | [
"Apache-1.1"
] | null | null | null | booktags/crawlers/base.py | MagicSword/Booktags | 44142e19aec5ce75266233964d7ab21503bbe57c | [
"Apache-1.1"
] | 9 | 2019-12-20T15:24:38.000Z | 2021-12-13T20:28:48.000Z | booktags/crawlers/base.py | MagicSword/BookTags | 44142e19aec5ce75266233964d7ab21503bbe57c | [
"Apache-1.1"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
example.py
~~~~~~~~~
A simple command line application to run flask apps.
:copyright: 2019 Miller
:license: BSD-3-Clause
"""
# Known bugs that can't be fixed here:
# - synopsis() cannot be prevented from clobbering existing
# loaded modules.
... | 28.292929 | 75 | 0.549804 |
c23834055a2794d7ef2571405fb30601b477eee7 | 463 | py | Python | apps/contactmessages/migrations/0004_auto_20180109_1139.py | iamjdcollins/districtwebsite | 89e2aea47ca3d221665bc23586a4374421be5800 | [
"MIT"
] | null | null | null | apps/contactmessages/migrations/0004_auto_20180109_1139.py | iamjdcollins/districtwebsite | 89e2aea47ca3d221665bc23586a4374421be5800 | [
"MIT"
] | null | null | null | apps/contactmessages/migrations/0004_auto_20180109_1139.py | iamjdcollins/districtwebsite | 89e2aea47ca3d221665bc23586a4374421be5800 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-01-09 18:39
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('contactmessages', '0003_contactmessage_confirm_set'),
]
operations = [
migrations.R... | 22.047619 | 63 | 0.634989 |
e2b0953e7e74745ad718c1192c12cbb15c106e84 | 9,383 | py | Python | sklearn/sklearn learning/demonstration/auto_examples_python/manifold/plot_lle_digits.py | wangyendt/deeplearning_models | 47883b6c65b8d05a0d1c5737f1552df6476ded34 | [
"MIT"
] | 1 | 2020-06-04T11:10:27.000Z | 2020-06-04T11:10:27.000Z | sklearn/sklearn learning/demonstration/auto_examples_python/manifold/plot_lle_digits.py | wangyendt/deeplearning_models | 47883b6c65b8d05a0d1c5737f1552df6476ded34 | [
"MIT"
] | null | null | null | sklearn/sklearn learning/demonstration/auto_examples_python/manifold/plot_lle_digits.py | wangyendt/deeplearning_models | 47883b6c65b8d05a0d1c5737f1552df6476ded34 | [
"MIT"
] | null | null | null | """
=============================================================================
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...
=============================================================================
An illustration of various embeddings on the digits dataset.
The RandomTreesEmbed... | 37.834677 | 79 | 0.572631 |
e045cad3b352f58f5314ad95653a929c697580bd | 1,300 | py | Python | easyrequest/commands/start_spider.py | 4379711/easyrequest | ece4020ed11f0c8a8a97f0dcfbb615754ed210f7 | [
"MIT"
] | 1 | 2020-02-18T02:53:54.000Z | 2020-02-18T02:53:54.000Z | easyrequest/commands/start_spider.py | 4379711/easyrequest | ece4020ed11f0c8a8a97f0dcfbb615754ed210f7 | [
"MIT"
] | null | null | null | easyrequest/commands/start_spider.py | 4379711/easyrequest | ece4020ed11f0c8a8a97f0dcfbb615754ed210f7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from easyrequest.engine import SpiderEngine
from easyrequest.engine.load_all_modules import LoadAllModules
from easyrequest.error import LoadError
from easyrequest.utils import *
def start_spider(spider_name):
"""
Run a spider .
"""
if not check_spider_name(spider_... | 29.545455 | 85 | 0.714615 |
d964cad87cab19d77d05e6d69dd66611cd5f9539 | 805 | py | Python | manage.py | gxyp/indabom | 114991be2471eda2cf658c68706ab7bb05b06959 | [
"MIT"
] | 17 | 2017-03-02T04:55:16.000Z | 2022-01-24T02:32:19.000Z | manage.py | gxyp/indabom | 114991be2471eda2cf658c68706ab7bb05b06959 | [
"MIT"
] | 33 | 2018-02-28T06:34:28.000Z | 2022-03-17T22:36:33.000Z | manage.py | gxyp/indabom | 114991be2471eda2cf658c68706ab7bb05b06959 | [
"MIT"
] | 11 | 2017-03-02T04:55:49.000Z | 2022-01-24T02:36:18.000Z | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "indabom.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that the
... | 35 | 77 | 0.642236 |
c3aa1bf2c2969b137dfd51104765901c744cdd56 | 22,288 | py | Python | src/sentry/api/serializers/models/group.py | phillipgraniero/sentry | e0cd92edbd4b65fd83ac5a1ffcb75aa9bb495d50 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/api/serializers/models/group.py | phillipgraniero/sentry | e0cd92edbd4b65fd83ac5a1ffcb75aa9bb495d50 | [
"BSD-3-Clause"
] | 1 | 2020-05-12T05:44:07.000Z | 2020-05-12T05:44:07.000Z | src/sentry/api/serializers/models/group.py | phillipgraniero/sentry | e0cd92edbd4b65fd83ac5a1ffcb75aa9bb495d50 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, print_function
import itertools
from collections import defaultdict
from datetime import timedelta
import six
from django.core.urlresolvers import reverse
from django.db.models import Q
from django.utils import timezone
from sentry import tagstore, tsdb
from sentry.api.seriali... | 38.761739 | 124 | 0.564698 |
d027adb5ca0184ac4ac16608a08197c9d9766958 | 624 | py | Python | tests/test_task_go.py | jduff/devbuddy | 9ae6d66ad79baedbde2fdb70f568b89ddd89d2a4 | [
"MIT"
] | null | null | null | tests/test_task_go.py | jduff/devbuddy | 9ae6d66ad79baedbde2fdb70f568b89ddd89d2a4 | [
"MIT"
] | null | null | null | tests/test_task_go.py | jduff/devbuddy | 9ae6d66ad79baedbde2fdb70f568b89ddd89d2a4 | [
"MIT"
] | null | null | null | import pytest
@pytest.fixture
def gopath(tmpdir_factory):
return tmpdir_factory.mktemp("gopath")
def test_env(cmd, project, gopath):
cmd.run(f"export GOPATH={gopath}")
project.write_devyml("""
up:
- go: '1.5'
""")
cmd.run("bud up")
output = cmd.run("go version")
assert... | 18.909091 | 68 | 0.621795 |
7e5fa08b720d9c0c634f78a0a41dab115606c53a | 133 | py | Python | bindings/python/ensmallen_graph/utils/__init__.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen_graph/utils/__init__.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen_graph/utils/__init__.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """Sub-module with holdouts utilities."""
from .holdouts_generator import holdouts_generator
__all__ = [
"holdouts_generator"
]
| 19 | 50 | 0.759398 |
6f4c8adccf53f2e8083daf1f1aa9ed59b4fb3d85 | 8,990 | py | Python | api/tacticalrmm/software/tests.py | meyerje/tacticalrmm | 40a68bafb6ee85de586c23b9c3f7387553188eed | [
"MIT"
] | null | null | null | api/tacticalrmm/software/tests.py | meyerje/tacticalrmm | 40a68bafb6ee85de586c23b9c3f7387553188eed | [
"MIT"
] | null | null | null | api/tacticalrmm/software/tests.py | meyerje/tacticalrmm | 40a68bafb6ee85de586c23b9c3f7387553188eed | [
"MIT"
] | null | null | null | from tacticalrmm.test import TacticalTestCase
from .serializers import InstalledSoftwareSerializer
from model_bakery import baker
from itertools import cycle
from unittest.mock import patch
from .models import InstalledSoftware, ChocoLog
from agents.models import Agent
class TestSoftwareViews(TacticalTestCase):
d... | 35.393701 | 85 | 0.63604 |
13474edc4bdda6c1ee8a6913b533f452f13e289b | 297 | py | Python | client.py | daxixi/Mentor-Relate | 418820efaad10fb9bda1402ae5b2d0f2370570da | [
"Apache-2.0"
] | null | null | null | client.py | daxixi/Mentor-Relate | 418820efaad10fb9bda1402ae5b2d0f2370570da | [
"Apache-2.0"
] | null | null | null | client.py | daxixi/Mentor-Relate | 418820efaad10fb9bda1402ae5b2d0f2370570da | [
"Apache-2.0"
] | null | null | null | import socket
import pickle
import sys
import os
key_words=sys.argv[1]
client= socket.socket(socket.AF_INET,socket.SOCK_STREAM)
client.connect(('127.0.0.1',1883))
key_words=pickle.dumps(key_words)
client.sendall(key_words)
outputs=client.recv(10240)
outputs=pickle.loads(outputs)
print(outputs)
| 19.8 | 56 | 0.804714 |
a8324541fff45242bd834221c9c58f56eb912875 | 10,920 | py | Python | Util.py | zzs1324/BO-DBA | 6afaa32be2b28a9a411422797809e423d9df7805 | [
"MIT"
] | 2 | 2021-07-13T13:26:33.000Z | 2021-11-18T16:57:07.000Z | Util.py | zzs1324/BO-DBA | 6afaa32be2b28a9a411422797809e423d9df7805 | [
"MIT"
] | 1 | 2021-10-05T02:55:24.000Z | 2021-10-05T02:55:24.000Z | Util.py | zzs1324/BO-DBA | 6afaa32be2b28a9a411422797809e423d9df7805 | [
"MIT"
] | null | null | null | import cv2
import random
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from shared import norm
import os
from scipy import ndimage
import yaml
import time
import keras
def millis():
return int(round(time.time() * 1000))
#Load data and model
with open(f'./Configur... | 33.191489 | 121 | 0.624725 |
81763a439358ef13bc0cb1e6985c0e9cdaf54aed | 4,224 | py | Python | examples/python_naive_matmul/matmul_plot.py | dSandley20/KomputeParticles | 099073c6db4b5345e80eaaebe97d97e0f8256849 | [
"Apache-2.0"
] | 445 | 2020-09-13T14:21:48.000Z | 2021-07-18T13:50:37.000Z | examples/python_naive_matmul/matmul_plot.py | dSandley20/KomputeParticles | 099073c6db4b5345e80eaaebe97d97e0f8256849 | [
"Apache-2.0"
] | 148 | 2020-09-20T09:06:49.000Z | 2021-06-28T11:44:27.000Z | examples/python_naive_matmul/matmul_plot.py | dSandley20/KomputeParticles | 099073c6db4b5345e80eaaebe97d97e0f8256849 | [
"Apache-2.0"
] | 42 | 2020-09-27T15:43:59.000Z | 2021-07-05T11:53:06.000Z | from argparse import ArgumentParser
import cv2
import numpy as np
def plot_tensor(window_name: str, tensor: np.ndarray, coord_highlight: tuple[int, int] = None):
font_size = 48
image = np.zeros((tensor.shape[1] * font_size, tensor.shape[0] * font_size, 3), dtype=np.uint8)
for y in range(tensor.shape[1])... | 43.102041 | 106 | 0.609848 |
d8b490b780d63b503eadfbfe31259a13230da9aa | 7,219 | py | Python | lldb/test/API/python_api/value/change_values/TestChangeValueAPI.py | LaudateCorpus1/llvm-project | ff2e0f0c1112558b3f30d8afec7c9882c33c79e3 | [
"Apache-2.0"
] | null | null | null | lldb/test/API/python_api/value/change_values/TestChangeValueAPI.py | LaudateCorpus1/llvm-project | ff2e0f0c1112558b3f30d8afec7c9882c33c79e3 | [
"Apache-2.0"
] | null | null | null | lldb/test/API/python_api/value/change_values/TestChangeValueAPI.py | LaudateCorpus1/llvm-project | ff2e0f0c1112558b3f30d8afec7c9882c33c79e3 | [
"Apache-2.0"
] | null | null | null | """
Test some SBValue APIs.
"""
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class ChangeValueAPITestCase(TestBase):
mydir = TestBase.compute_mydir(__file__)
def setUp(self):
# Call super's setUp().
TestBase.... | 40.105556 | 92 | 0.652029 |
05faf584c3513a352f4d4988fb7f65024b36fda2 | 5,714 | py | Python | examples/json_producer.py | woodlee/confluent-kafka-python | c8a05dbd73e06ea310de7f28267fd4714f90ef8c | [
"Apache-2.0"
] | 2,838 | 2016-05-24T12:41:06.000Z | 2022-03-31T13:24:16.000Z | examples/json_producer.py | woodlee/confluent-kafka-python | c8a05dbd73e06ea310de7f28267fd4714f90ef8c | [
"Apache-2.0"
] | 1,202 | 2016-05-25T20:52:51.000Z | 2022-03-31T23:59:57.000Z | examples/json_producer.py | woodlee/confluent-kafka-python | c8a05dbd73e06ea310de7f28267fd4714f90ef8c | [
"Apache-2.0"
] | 824 | 2016-05-26T19:59:43.000Z | 2022-03-31T10:14:04.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2020 Confluent 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 requi... | 33.028902 | 86 | 0.641932 |
5d5081d474722c1fed689bc623e84d468d52abd3 | 3,992 | py | Python | mod_marksOnGunExtended/.release.py | spoter/spoter-mods | f76e278429cbfdfe674044556cd1ecb1a77ca4db | [
"WTFPL"
] | 150 | 2015-11-07T12:58:06.000Z | 2022-03-19T17:52:34.000Z | mod_marksOnGunExtended/.release.py | StranikS-Scan/spoter-mods | b2923d95b03751ee09b6cb4ebc5be348d90cfd3c | [
"WTFPL"
] | 62 | 2015-12-17T02:11:18.000Z | 2021-02-07T11:37:22.000Z | mod_marksOnGunExtended/.release.py | spoter/spoter-mods | f76e278429cbfdfe674044556cd1ecb1a77ca4db | [
"WTFPL"
] | 97 | 2015-11-10T18:43:02.000Z | 2022-01-28T20:58:23.000Z | # -*- coding: utf-8 -*-
import glob
import os
import shutil
import subprocess
import _build as build
ZIP = 'mods_marksOnGunExtended.zip'
class Release(object):
def __init__(self, build, zip):
self.data = build
self.zipPath = os.path.join('zip', zip)
self.modsPath = os.path.join(self.data... | 59.58209 | 267 | 0.641533 |
4024595d308ed40c015073348c0d520a8da3d66d | 2,043 | py | Python | drivers/audios_manager.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/audios_manager.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/audios_manager.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | 1 | 2021-09-04T10:27:30.000Z | 2021-09-04T10:27:30.000Z | """
声音播放管理
gps : GPS接收不到信号
network：无法连接服务器
register： 船还没有注册
battery：电池电量过低
"""
import os,sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import config
import enum
import sys
import random
# sys.path.append(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
audios... | 27.986301 | 148 | 0.651982 |
080b5f3ce34e7da3c1929794e8b7f33a148944d7 | 2,253 | py | Python | GUI/PyQt/configGUI/LabelChoose.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 22 | 2018-04-27T21:28:46.000Z | 2021-12-24T06:44:55.000Z | GUI/PyQt/configGUI/LabelChoose.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 81 | 2017-11-09T17:23:15.000Z | 2020-01-28T22:54:13.000Z | GUI/PyQt/configGUI/LabelChoose.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 18 | 2017-11-13T16:12:17.000Z | 2020-08-27T10:17:34.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'LabelChoose.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QDialog
class Ui_Dialog(QDialog):
def setup... | 40.232143 | 106 | 0.702619 |
c5eb8c97d74160e7473b28b47c6fcd3f85bd2581 | 1,497 | py | Python | control_cpu_usage.py | biezhi/runcat_pyside | 14ecfcda1fa25fecc2c636f50190c9d524825f14 | [
"MIT"
] | 6 | 2021-11-19T23:01:07.000Z | 2021-11-22T12:21:19.000Z | control_cpu_usage.py | hellokaton/runcat_pyside | 14ecfcda1fa25fecc2c636f50190c9d524825f14 | [
"MIT"
] | 1 | 2021-11-22T12:12:36.000Z | 2021-11-23T13:26:16.000Z | control_cpu_usage.py | biezhi/runcat_pyside | 14ecfcda1fa25fecc2c636f50190c9d524825f14 | [
"MIT"
] | null | null | null | """
使用方法：命令行模式
python control_cpu_usage.py -c 20 -t 0.1
-c 指定cpu核数：不指定-c参数默认为所有核数。
-t 数值越大，cpu使用率越低。
"""
import argparse
import time
from multiprocessing import Process
from multiprocessing import cpu_count
def exec_func(bt):
while True:
for i in range(0, 9600000):
pass
try:
... | 21.084507 | 91 | 0.557782 |
fc631eff306bae98c00293dd0937004e36ea81f2 | 18,568 | py | Python | tests/test_sphinx_autodoc_typehints.py | ooliver1/sphinx-autodoc-typehints | a7bee398c45d0f8ee541dd8e88e9d2ac7cc3d475 | [
"MIT"
] | 1 | 2021-11-04T13:20:33.000Z | 2021-11-04T13:20:33.000Z | tests/test_sphinx_autodoc_typehints.py | ooliver1/sphinx-autodoc-typehints | a7bee398c45d0f8ee541dd8e88e9d2ac7cc3d475 | [
"MIT"
] | null | null | null | tests/test_sphinx_autodoc_typehints.py | ooliver1/sphinx-autodoc-typehints | a7bee398c45d0f8ee541dd8e88e9d2ac7cc3d475 | [
"MIT"
] | null | null | null | import pathlib
import re
import sys
import textwrap
import typing
from typing import (
IO, Any, AnyStr, Callable, Dict, Generic, Mapping, Match, NewType, Optional, Pattern, Tuple,
Type, TypeVar, Union)
import pytest
import typing_extensions
from sphinx_autodoc_typehints_updated import (
format_annotation,... | 34.069725 | 99 | 0.506355 |
50b40a40f4c9c0d5ced2876309da70560a1e6ef4 | 30,254 | py | Python | sdk/storagepool/azure-mgmt-storagepool/azure/mgmt/storagepool/operations/_iscsi_targets_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 3 | 2020-06-23T02:25:27.000Z | 2021-09-07T18:48:11.000Z | sdk/storagepool/azure-mgmt-storagepool/azure/mgmt/storagepool/operations/_iscsi_targets_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 510 | 2019-07-17T16:11:19.000Z | 2021-08-02T08:38:32.000Z | sdk/storagepool/azure-mgmt-storagepool/azure/mgmt/storagepool/operations/_iscsi_targets_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 5 | 2019-09-04T12:51:37.000Z | 2020-09-16T07:28:40.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 52.072289 | 222 | 0.667912 |
8499c1b3fec0041e9bec9d545e7b062c3e80fdd4 | 23,729 | py | Python | enaml/qt/docking/q_guide_rose.py | timgates42/enaml | 054efe6a4047d84f2fff718d656a64a2363884dc | [
"BSD-3-Clause-Clear"
] | null | null | null | enaml/qt/docking/q_guide_rose.py | timgates42/enaml | 054efe6a4047d84f2fff718d656a64a2363884dc | [
"BSD-3-Clause-Clear"
] | 1 | 2019-08-22T14:38:24.000Z | 2019-08-22T14:38:24.000Z | enaml/qt/docking/q_guide_rose.py | timgates42/enaml | 054efe6a4047d84f2fff718d656a64a2363884dc | [
"BSD-3-Clause-Clear"
] | null | null | null | #------------------------------------------------------------------------------
# Copyright (c) 2013-2017, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#--------------------------------------------... | 30.189567 | 79 | 0.574529 |
d2019cd95601cd6c11188a8e30bb68cd8d06e9d8 | 713 | py | Python | configs/aam_configs.py | rafaat/audiencemanager-api-lab | 5890854cd4a085bbaf9e13f21d7d70cca25254f4 | [
"Apache-2.0"
] | 1 | 2019-02-20T16:44:35.000Z | 2019-02-20T16:44:35.000Z | configs/aam_configs.py | rafaat/audiencemanager-api-lab | 5890854cd4a085bbaf9e13f21d7d70cca25254f4 | [
"Apache-2.0"
] | null | null | null | configs/aam_configs.py | rafaat/audiencemanager-api-lab | 5890854cd4a085bbaf9e13f21d7d70cca25254f4 | [
"Apache-2.0"
] | 4 | 2017-03-22T16:03:30.000Z | 2020-10-03T09:32:22.000Z |
# API Credentials
AAM_API_ACCESS_TOKEN = 'PLACE-YOUR-ACCESS-TOKEN-HERE'
# API Paths
AAM_BASE_API_PATH = 'https://api-sandbox.demdex.com'
AAM_OAUTH_TOKEN_API_PATH = AAM_BASE_API_PATH + '/oauth/token'
AAM_SELF_USER_API_PATH = AAM_BASE_API_PATH + '/v1/users/self'
AAM_DATASOURCE_API_PATH = AAM_BASE_API_PATH + '/v1/dataso... | 39.611111 | 72 | 0.807854 |
895a582304d76d87c6716cc2e970f9361a22d2b2 | 4,772 | py | Python | main.py | AKI-maggie/adapted_deep_embeddings | 7f58900cf31398f7bb23295c1d4854f1ae941bcd | [
"MIT"
] | 24 | 2018-10-19T07:48:16.000Z | 2021-06-29T08:44:16.000Z | main.py | AKI-maggie/adapted_deep_embeddings | 7f58900cf31398f7bb23295c1d4854f1ae941bcd | [
"MIT"
] | 8 | 2019-01-12T02:55:13.000Z | 2022-03-11T23:32:01.000Z | main.py | garyCC227/thesis | a93c5061c09fa1a42d54053cd82e71cef447e4b8 | [
"MIT"
] | 10 | 2018-12-04T11:39:01.000Z | 2020-11-10T06:57:35.000Z | import argparse
import logging
import os
from run_model import run
def get_opts():
class MyArgumentParser(argparse.ArgumentParser):
def convert_arg_line_to_args(self, arg_line):
return arg_line.split()
parser = MyArgumentParser(fromfile_prefix_chars='@')
# Dataset parameters
pars... | 45.447619 | 125 | 0.695935 |
2dcece43f229f40fd6702026006040d5db262bb8 | 2,933 | py | Python | examples/tour_examples/bootstrap_google_tour.py | mdmintz/seleniumbase | 30eafb00d2023e2c4833e34e4636c8147554963e | [
"MIT"
] | null | null | null | examples/tour_examples/bootstrap_google_tour.py | mdmintz/seleniumbase | 30eafb00d2023e2c4833e34e4636c8147554963e | [
"MIT"
] | null | null | null | examples/tour_examples/bootstrap_google_tour.py | mdmintz/seleniumbase | 30eafb00d2023e2c4833e34e4636c8147554963e | [
"MIT"
] | null | null | null | from seleniumbase import BaseCase
class MyTourClass(BaseCase):
def test_google_tour(self):
self.open("https://google.com/ncr")
self.wait_for_element('input[title="Search"]')
self.create_bootstrap_tour() # OR self.create_tour(theme="bootstrap")
self.add_tour_step("Welcome to Googl... | 38.090909 | 79 | 0.599386 |
8178a6c51cb161e157f5927f7a5b68f9d5b2a937 | 17,455 | py | Python | setup.py | lgeiger/numpy | be8ab91f789c3b688d707940016b4c2d262913e9 | [
"BSD-3-Clause"
] | 2 | 2022-02-02T05:40:47.000Z | 2022-03-05T11:04:24.000Z | setup.py | lgeiger/numpy | be8ab91f789c3b688d707940016b4c2d262913e9 | [
"BSD-3-Clause"
] | null | null | null | setup.py | lgeiger/numpy | be8ab91f789c3b688d707940016b4c2d262913e9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
""" NumPy is the fundamental package for array computing with Python.
It provides:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
- and muc... | 35.262626 | 84 | 0.607219 |
197e5834c1b90efd2a731164049ed7b6e004308f | 1,100 | py | Python | sdk/python/pulumi_azure_native/changeanalysis/v20200401preview/__init__.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/changeanalysis/v20200401preview/__init__.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/changeanalysis/v20200401preview/__init__.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
# Export this package's modules as members:
from ._enums import *
from .configuration_profile import *
from .get_configuration_profile import *
from ._... | 32.352941 | 112 | 0.699091 |
588bfbcf07123baee25f674a38b6b2ae369b9347 | 1,322 | py | Python | app/core/tests/test_admin.py | alexander2g3/my-recipe-app | 4587378a65422ed961dc43f20460c2cca2c3ebdc | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | alexander2g3/my-recipe-app | 4587378a65422ed961dc43f20460c2cca2c3ebdc | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | alexander2g3/my-recipe-app | 4587378a65422ed961dc43f20460c2cca2c3ebdc | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
from django.urls import reverse
class AdminSiteTests(TestCase):
def setUp(self):
self.client = Client()
self.admin_user = get_user_model().objects.create_superuser(
email='admin@eyosolutions.com',
... | 31.47619 | 68 | 0.640696 |
f52e44bbab4e437da0daa0ac7ec2d8f9a4044979 | 2,759 | py | Python | Leetcode_Interview100/palindromic_substrings.py | kittenman29/Algo-Problems | b156e6de13467e26b97c5ac95d6b92eda5114399 | [
"MIT"
] | null | null | null | Leetcode_Interview100/palindromic_substrings.py | kittenman29/Algo-Problems | b156e6de13467e26b97c5ac95d6b92eda5114399 | [
"MIT"
] | null | null | null | Leetcode_Interview100/palindromic_substrings.py | kittenman29/Algo-Problems | b156e6de13467e26b97c5ac95d6b92eda5114399 | [
"MIT"
] | null | null | null | # Given a string, your task is to count how many palindromic substrings in this string.
# The substrings with different start indexes or end indexes are counted as different substrings even they consist of same characters.
# Example 1:
# Input: "abc"
# Output: 3
# Explanation: Three palindromic strings: "a", "b", "c... | 29.666667 | 134 | 0.481696 |
e536aa2eee3757cb24c2ef37ceda1ea67ae64f28 | 40 | py | Python | utils/plot.py | magicly/sample-factory | 32cd44a907653fdad40c026ba0a4fa4cca68554b | [
"MIT"
] | 320 | 2020-01-24T17:57:32.000Z | 2022-03-30T08:15:10.000Z | utils/plot.py | magicly/sample-factory | 32cd44a907653fdad40c026ba0a4fa4cca68554b | [
"MIT"
] | 69 | 2020-02-29T19:14:30.000Z | 2022-03-28T17:45:44.000Z | utils/plot.py | magicly/sample-factory | 32cd44a907653fdad40c026ba0a4fa4cca68554b | [
"MIT"
] | 53 | 2020-04-22T01:46:54.000Z | 2022-03-26T03:01:51.000Z | MAP_FIGURE_ID = 2
HEATMAP_FIGURE_ID = 3
| 13.333333 | 21 | 0.8 |
aef420c14980b186a0be4a3479e7bc11bc915aaa | 832 | py | Python | main.py | eye-sigil/embedshell | cafe08a2da4fdb48e6836822830fd3bb6a548dbb | [
"MIT"
] | 2 | 2017-06-14T14:21:54.000Z | 2017-06-19T12:25:01.000Z | main.py | eye-sigil/embedshell | cafe08a2da4fdb48e6836822830fd3bb6a548dbb | [
"MIT"
] | null | null | null | main.py | eye-sigil/embedshell | cafe08a2da4fdb48e6836822830fd3bb6a548dbb | [
"MIT"
] | null | null | null | print("Starting up...\n")
import discord
from discord.ext import commands
print("imports finalized.\n")
bot = commands.Bot(command_prefix='embed!',
description='Wrapped up EmbedShell',
self_bot=True)
print("bot created.\n")
startup_extensions=['embedshell']
print("globals cre... | 24.470588 | 75 | 0.605769 |
625a6f01d8eae8b395d4f1937d857e5422d315d2 | 38,769 | py | Python | Lib/test/test_typing.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/test/test_typing.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_typing.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | z collections zaimportuj namedtuple
zaimportuj re
zaimportuj sys
z unittest zaimportuj TestCase, main
spróbuj:
z unittest zaimportuj mock
wyjąwszy ImportError:
zaimportuj mock # 3rd party install, dla PY3.2.
z typing zaimportuj Any
z typing zaimportuj TypeVar, AnyStr
z typing zaimportuj T, KT, VT # Not w __a... | 30.817965 | 82 | 0.589466 |
29574780d3124b663dbb296d133c33fc9d944b0a | 2,716 | py | Python | azure-mgmt-network/azure/mgmt/network/v2018_06_01/models/azure_firewall_application_rule_collection.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-network/azure/mgmt/network/v2018_06_01/models/azure_firewall_application_rule_collection.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-network/azure/mgmt/network/v2018_06_01/models/azure_firewall_application_rule_collection.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 41.784615 | 87 | 0.638071 |
3e1470d6d025c1949334fde27ac7673b771f5d3d | 1,191 | py | Python | Linux jdt keyboard/add_rule.py | dyelsey/Juhuri-Keyboard | c264a12151d62332584f7235ee174a914e36f382 | [
"MIT"
] | null | null | null | Linux jdt keyboard/add_rule.py | dyelsey/Juhuri-Keyboard | c264a12151d62332584f7235ee174a914e36f382 | [
"MIT"
] | null | null | null | Linux jdt keyboard/add_rule.py | dyelsey/Juhuri-Keyboard | c264a12151d62332584f7235ee174a914e36f382 | [
"MIT"
] | null | null | null | #David Yelsey
#Adds keyboard in evdev.xml right before </layoutList>
l = []
for i in range(16):
l.append('')
l[0] = " <layout>\n"
l[1] = " <configItem>\n"
l[2] = " <name>jdt-cyr</name>\n"
l[3] = " <shortDescription>jdt-cyr</shortDescription>\n"
l[4] = " <description>Judeo-Tat (Cyrillic)<... | 32.189189 | 109 | 0.575147 |
9c25ba40907e589f0b9d2f143b9b0c935606d5a0 | 12,729 | py | Python | fsed/tests/test_ahocorasick.py | pombredanne/fsed | 78f9e5c252a7ac66a7f26f05d37157a491026b7b | [
"MIT"
] | null | null | null | fsed/tests/test_ahocorasick.py | pombredanne/fsed | 78f9e5c252a7ac66a7f26f05d37157a491026b7b | [
"MIT"
] | null | null | null | fsed/tests/test_ahocorasick.py | pombredanne/fsed | 78f9e5c252a7ac66a7f26f05d37157a491026b7b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
test_ahocorasick.py
(c) Will Roberts 12 December, 2015
Unit tests for the ``ahocorasick`` module.
'''
from __future__ import absolute_import, print_function, unicode_literals
from .. import ahocorasick
import unittest
class TestAhocorasick(unittest.TestCase):
'... | 37.548673 | 98 | 0.490533 |
af7ba3bf41dd3d8299f259433d806c68d5fa2665 | 20,695 | py | Python | pysnmp/OMNI-gx2litePS-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/OMNI-gx2litePS-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/OMNI-gx2litePS-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module OMNI-gx2litePS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/OMNI-gx2litePS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:24:42 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, ... | 172.458333 | 2,370 | 0.76144 |
48be970e3d5d1480734f74a7220dccce689d7dd4 | 585 | py | Python | entrymanagementsoftware/app1/migrations/0002_auto_20191126_2311.py | mishraatul549/EntryManagement | b9431761138997fc1679d622d1f405b832180140 | [
"MIT"
] | null | null | null | entrymanagementsoftware/app1/migrations/0002_auto_20191126_2311.py | mishraatul549/EntryManagement | b9431761138997fc1679d622d1f405b832180140 | [
"MIT"
] | null | null | null | entrymanagementsoftware/app1/migrations/0002_auto_20191126_2311.py | mishraatul549/EntryManagement | b9431761138997fc1679d622d1f405b832180140 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-11-26 17:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app1', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='meeting',
name='checkInTime',
... | 23.4 | 61 | 0.576068 |
ee18ce3794378ba30d89538e29fc2a06692dce48 | 1,158 | py | Python | systems/thermal.py | ymiftah/energysys | 99d4be8385f5f500339547386b630b5e7861b400 | [
"MIT"
] | null | null | null | systems/thermal.py | ymiftah/energysys | 99d4be8385f5f500339547386b630b5e7861b400 | [
"MIT"
] | null | null | null | systems/thermal.py | ymiftah/energysys | 99d4be8385f5f500339547386b630b5e7861b400 | [
"MIT"
] | null | null | null | from .core import Unit
import numpy as np
class ThermalUnit(Unit):
def __init__(self, name, input_output, fuel_cost,
min_power=-np.inf, max_power=np.inf,
start_up_cost=0, ramp_up=None, ramp_down=None,
min_uptime = None, min_rest=None):
super().__i... | 34.058824 | 80 | 0.6019 |
3729e54ed0ae80f486287954312ed4d3f0acd122 | 665 | py | Python | network/multigpu/utils.py | zhusiling/AAF-TF | 8488aa6ad16022ab4b89fb8626386997559cb951 | [
"MIT"
] | 261 | 2018-08-14T23:06:58.000Z | 2022-03-06T08:44:52.000Z | network/multigpu/utils.py | zhusiling/AAF-TF | 8488aa6ad16022ab4b89fb8626386997559cb951 | [
"MIT"
] | 15 | 2018-08-27T11:59:33.000Z | 2021-11-01T19:15:41.000Z | network/multigpu/utils.py | zhusiling/AAF-TF | 8488aa6ad16022ab4b89fb8626386997559cb951 | [
"MIT"
] | 63 | 2018-08-23T01:32:20.000Z | 2021-05-10T06:20:27.000Z | import tensorflow as tf
def on_each_gpu(func):
"""A Decorator which perform func independently on each gpu.
This function will call func on each gpu, which is useful for
multi-gpu computations. The decorator takes a list of tensor
as inputs. See examples in network/multigpu/layers.py.
Args:
func: A t... | 25.576923 | 72 | 0.679699 |
3504280e5be76de87a9bed3dbd5cd9ec69ad07af | 1,466 | py | Python | superset/migrations/versions/bf706ae5eb46_cal_heatmap_metric_to_metrics.py | sssswangzi/superset | 3ff53b20bbe8ecc80d7dd3bf91d5d7af7c6c43cb | [
"Apache-2.0"
] | 18 | 2018-11-21T16:38:55.000Z | 2020-11-26T07:38:24.000Z | superset/migrations/versions/bf706ae5eb46_cal_heatmap_metric_to_metrics.py | 7nRyan/incubator-superset | 5616d7bdd72cb6d41caaf8733823d5d7dbe26abb | [
"Apache-2.0"
] | 16 | 2019-12-30T04:58:10.000Z | 2022-03-08T23:41:14.000Z | superset/migrations/versions/bf706ae5eb46_cal_heatmap_metric_to_metrics.py | 7nRyan/incubator-superset | 5616d7bdd72cb6d41caaf8733823d5d7dbe26abb | [
"Apache-2.0"
] | 16 | 2018-09-25T08:16:52.000Z | 2020-11-11T05:12:17.000Z | """cal_heatmap_metric_to_metrics
Revision ID: bf706ae5eb46
Revises: f231d82b9b26
Create Date: 2018-04-10 11:19:47.621878
"""
from alembic import op
import json
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Text
from superset import db
from superset.legacy im... | 25.719298 | 78 | 0.662347 |
21d7cc6a078108fdd87079180daf8f9121b48734 | 1,000 | py | Python | docs/examples/tools/render.py | SamWarden/aiogram_dialog | 76dea8c71f9b75dd0df74b9c1e0913e3d7a9e2dc | [
"Apache-2.0"
] | null | null | null | docs/examples/tools/render.py | SamWarden/aiogram_dialog | 76dea8c71f9b75dd0df74b9c1e0913e3d7a9e2dc | [
"Apache-2.0"
] | null | null | null | docs/examples/tools/render.py | SamWarden/aiogram_dialog | 76dea8c71f9b75dd0df74b9c1e0913e3d7a9e2dc | [
"Apache-2.0"
] | 1 | 2022-02-07T00:09:12.000Z | 2022-02-07T00:09:12.000Z | from aiogram.dispatcher.filters.state import StatesGroup, State
from aiogram.types import Message
from aiogram_dialog import Dialog, Window, DialogManager
from aiogram_dialog.tools import render_transitions
from aiogram_dialog.widgets.input import MessageInput
from aiogram_dialog.widgets.kbd import Next, Back
from aio... | 23.255814 | 71 | 0.679 |
72b9880c5d988a3e79d110e0e810642130e17725 | 14,963 | py | Python | cpselect/cpselect.py | adal02/phg_cpselect | bec400370d15bb06474632aac8d033210dfd3fe1 | [
"MIT"
] | 3 | 2021-03-18T11:55:05.000Z | 2022-03-31T09:26:17.000Z | cpselect/cpselect.py | adal02/phg_cpselect | bec400370d15bb06474632aac8d033210dfd3fe1 | [
"MIT"
] | 1 | 2021-08-08T02:13:05.000Z | 2021-11-14T21:38:20.000Z | cpselect/cpselect.py | adal02/phg_cpselect | bec400370d15bb06474632aac8d033210dfd3fe1 | [
"MIT"
] | 2 | 2019-05-13T06:40:12.000Z | 2020-04-27T12:10:56.000Z | import sys, os
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from matplotlib import pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotli... | 37.595477 | 1,459 | 0.602352 |
7e92ce25221a59b84bb1c4d04286d6a98fbb2c1b | 6,818 | py | Python | behavenet/fitting/hyperparam_utils.py | nihaarshah/behavenet | 35bf5360e136075ca5ec30b3f98a2112a53e992c | [
"MIT"
] | null | null | null | behavenet/fitting/hyperparam_utils.py | nihaarshah/behavenet | 35bf5360e136075ca5ec30b3f98a2112a53e992c | [
"MIT"
] | null | null | null | behavenet/fitting/hyperparam_utils.py | nihaarshah/behavenet | 35bf5360e136075ca5ec30b3f98a2112a53e992c | [
"MIT"
] | null | null | null | import commentjson
import datetime
import sys
import os
from subprocess import call
from test_tube import HyperOptArgumentParser
from test_tube.hpc import SlurmCluster, AbstractCluster
from behavenet import get_user_dir
from behavenet.models.ae_model_architecture_generator import load_handcrafted_arches
def get_all_p... | 40.826347 | 98 | 0.643884 |
163418427222e63f3e012df78735c018fb0e9785 | 570 | py | Python | src/Calculating_PC/build/controller_calc/catkin_generated/pkg.develspace.context.pc.py | anducnguyen/behavior_cloning_pwarx | a1f07dd8ff77ec289bd15a878a949b4c05df0eab | [
"Apache-2.0"
] | null | null | null | src/Calculating_PC/build/controller_calc/catkin_generated/pkg.develspace.context.pc.py | anducnguyen/behavior_cloning_pwarx | a1f07dd8ff77ec289bd15a878a949b4c05df0eab | [
"Apache-2.0"
] | 1 | 2021-07-27T06:40:20.000Z | 2021-07-27T06:40:20.000Z | src/Calculating_PC/build/controller_calc/catkin_generated/pkg.develspace.context.pc.py | anducnguyen/behavior_cloning_pwarx | a1f07dd8ff77ec289bd15a878a949b4c05df0eab | [
"Apache-2.0"
] | null | null | null | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/arun/Desktop/an_ws/test_cacc/src/Calculating_PC/src/controller_calc/include".split(';') if "/home/arun/Desktop/an_ws/test_cacc/src/Calculating_PC/src/controller_calc/include" != "" else []
PROJEC... | 63.333333 | 229 | 0.764912 |
d528a00ccfd025509ef2404f9c5988087f1753e5 | 2,386 | py | Python | SNACC_Mapper/trend_node.py | emariwileslee/SNACC | 02bd1826eb77b6a397446d7db503d449dc2102a7 | [
"MIT"
] | null | null | null | SNACC_Mapper/trend_node.py | emariwileslee/SNACC | 02bd1826eb77b6a397446d7db503d449dc2102a7 | [
"MIT"
] | null | null | null | SNACC_Mapper/trend_node.py | emariwileslee/SNACC | 02bd1826eb77b6a397446d7db503d449dc2102a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 7 09:58:55 2021
@author: emari
"""
import numpy as np
import pandas as pd
class node():
def __init__(self):
self.parent_node = ""
self.child_connections = [np.array([],dtype=object),np.array([],dtype=object),np.array([],dtype=object),np.array([],dty... | 36.707692 | 190 | 0.647946 |
2272c96038f4ab285f4e8eef7613ae92dc493707 | 362 | py | Python | maskrcnn_benchmark/modeling/detector/detectors.py | FanShuixing/maskrcnn-benchmark | 97072a1d3ceda8eacaf922b87eedea11d351ad83 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/modeling/detector/detectors.py | FanShuixing/maskrcnn-benchmark | 97072a1d3ceda8eacaf922b87eedea11d351ad83 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/modeling/detector/detectors.py | FanShuixing/maskrcnn-benchmark | 97072a1d3ceda8eacaf922b87eedea11d351ad83 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .generalized_rcnn import GeneralizedRCNN
# _DETECTION_META_ARCHITECTURES = {"GeneralizedRCNN": GeneralizedRCNN}
def build_detection_model(cfg):
# meta_arch = _DETECTION_META_ARCHITECTURES[cfg.MODEL.META_ARCHITECTURE]
# return meta_... | 30.166667 | 76 | 0.790055 |
890ecc7520fefef5e66a9edced29e28515862210 | 431 | py | Python | incidents/migrations/0023_alert_link.py | SINTEF-Infosec/Incident-Information-Sharing-Tool | 9845ab75839ac49429e936ecc42a8d816a5b4040 | [
"Apache-2.0"
] | null | null | null | incidents/migrations/0023_alert_link.py | SINTEF-Infosec/Incident-Information-Sharing-Tool | 9845ab75839ac49429e936ecc42a8d816a5b4040 | [
"Apache-2.0"
] | null | null | null | incidents/migrations/0023_alert_link.py | SINTEF-Infosec/Incident-Information-Sharing-Tool | 9845ab75839ac49429e936ecc42a8d816a5b4040 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('incidents', '0022_auto_20150421_0847'),
]
operations = [
migrations.AddField(
model_name='alert',
na... | 20.52381 | 49 | 0.591647 |
a4794d1f2f1e4fbcb7df52571cf8454864c8c015 | 588 | py | Python | aprendi com guanabara/Ex 091.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | aprendi com guanabara/Ex 091.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | aprendi com guanabara/Ex 091.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | """
Crie um programa que onde 4 jogadores joguem um dado e tenham resultados aleatorios
guarde os resultados em um dicionario.
no final coloque o dicionario em ordem, sabendo que o vencedos tirou o maior numero do dado
"""
from random import randint
sorteado = {}
a = 1
for c in range(0, 4):
dado = randint(1, 6)
... | 32.666667 | 91 | 0.695578 |
5681eb33d8fbfcf29bcd0ad1ce725fc1ad87f2d0 | 8,957 | py | Python | keras/utils/multi_gpu_utils.py | Halo9Pan/dive-keras | 7d4c5572fa3a9fc2542a1314d06c555f67575cb0 | [
"Apache-2.0"
] | 37,222 | 2017-12-13T00:52:55.000Z | 2022-03-31T22:34:35.000Z | keras/utils/multi_gpu_utils.py | amirsadafi/keras | f1e9c76675981ee6683f54a3ce569212d551d12d | [
"Apache-2.0"
] | 7,624 | 2017-12-13T01:03:40.000Z | 2022-03-31T23:57:24.000Z | keras/utils/multi_gpu_utils.py | amirsadafi/keras | f1e9c76675981ee6683f54a3ce569212d551d12d | [
"Apache-2.0"
] | 14,914 | 2017-12-13T02:30:46.000Z | 2022-03-30T14:49:16.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 34.988281 | 80 | 0.637379 |
a6525093991de4601bf895a119eabb7d0066046f | 1,080 | py | Python | studies/awkward-forth-performance/forth-read-jagged1-root.py | BioGeek/awkward-1.0 | 0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2 | [
"BSD-3-Clause"
] | 519 | 2019-10-17T12:36:22.000Z | 2022-03-26T23:28:19.000Z | studies/awkward-forth-performance/forth-read-jagged1-root.py | BioGeek/awkward-1.0 | 0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2 | [
"BSD-3-Clause"
] | 924 | 2019-11-03T21:05:01.000Z | 2022-03-31T22:44:30.000Z | studies/awkward-forth-performance/forth-read-jagged1-root.py | BioGeek/awkward-1.0 | 0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2 | [
"BSD-3-Clause"
] | 56 | 2019-12-17T15:49:22.000Z | 2022-03-09T20:34:06.000Z | import time
import uproot
import awkward.forth
import awkward as ak
import numpy as np
jagged1 = awkward.forth.ForthMachine32("""
input data
input byte_offsets
output offsets0 int32
output content float32
0 offsets0 <- stack
begin
byte_offsets i-> stack
6 + data seek
data !i-> stack
dup offsets0 +<- stack
... | 22.978723 | 114 | 0.699074 |
830be6c80f9a4d06f0077b25ff9c933a6c76f230 | 1,672 | py | Python | capitulo3_listas/listasDentroDeLista.py | julioccg/exercicios-python-fiap | 73a9f5342b0df198f6ecbe1a2a8af35fe4a45e3a | [
"MIT"
] | null | null | null | capitulo3_listas/listasDentroDeLista.py | julioccg/exercicios-python-fiap | 73a9f5342b0df198f6ecbe1a2a8af35fe4a45e3a | [
"MIT"
] | null | null | null | capitulo3_listas/listasDentroDeLista.py | julioccg/exercicios-python-fiap | 73a9f5342b0df198f6ecbe1a2a8af35fe4a45e3a | [
"MIT"
] | null | null | null | inventario = []
resposta = 'S'
while resposta == 'S':
equipamento = [input("Equipamento: "),
float(input('Valor: ')),
int(input('Numero Serial: ')),
input('Departamento: ')]
inventario.append(equipamento)
resposta = input('Digite \'S\' para continuar: ').upper()
for elemento in inventario:
... | 34.833333 | 76 | 0.604067 |
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