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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
386d6ab493360bff8cba38e0b624c70712f03f4f | 11,230 | py | Python | pelita/ui/tk_sprites.py | DanBenHa/pelita | 557c3a757a24e0f1abe25f7edf5c4ffee83a077e | [
"BSD-2-Clause"
] | null | null | null | pelita/ui/tk_sprites.py | DanBenHa/pelita | 557c3a757a24e0f1abe25f7edf5c4ffee83a077e | [
"BSD-2-Clause"
] | null | null | null | pelita/ui/tk_sprites.py | DanBenHa/pelita | 557c3a757a24e0f1abe25f7edf5c4ffee83a077e | [
"BSD-2-Clause"
] | null | null | null | import cmath
import math
def col(red, green, blue):
"""Convert the given colours [0, 255] to HTML hex colours."""
return "#%02x%02x%02x" % (red, green, blue)
RED = col(235, 90, 90)
BLUE = col(94, 158, 217)
YELLOW = col(242, 255, 83)
GREY = col(80, 80, 80)
BROWN = col(48, 26, 22)
def rotate(arc, rotation):
... | 41.592593 | 173 | 0.5813 |
386da634048ab6af7a9d332ab2ea2c432519bfce | 10,384 | py | Python | tf-faster-rcnn/tools/process-widgets-frcnn.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | tf-faster-rcnn/tools/process-widgets-frcnn.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | tf-faster-rcnn/tools/process-widgets-frcnn.py | bernardcwj/FYP_2017 | a9c9f6c6f83de018f63f83d283a75f50742108f0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen, based on code from Ross Girshick
# --------------------------------------------------------
"""
Demo script showing detections... | 33.934641 | 142 | 0.58985 |
386db13696a302fc2728fbd833dfda97337a499b | 800 | py | Python | tests/test_hpoa.py | sgml/dipper | cff0d01299e982183a5345b8a7eb00094ed05257 | [
"BSD-3-Clause"
] | null | null | null | tests/test_hpoa.py | sgml/dipper | cff0d01299e982183a5345b8a7eb00094ed05257 | [
"BSD-3-Clause"
] | null | null | null | tests/test_hpoa.py | sgml/dipper | cff0d01299e982183a5345b8a7eb00094ed05257 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import unittest
import logging
from tests.test_source import SourceTestCase
from dipper.sources.HPOAnnotations import HPOAnnotations
logging.basicConfig(level=logging.WARNING)
logger = logging.getLogger(__name__)
class HPOATestCase(SourceTestCase):
def setUp(self):
self.source = H... | 22.857143 | 59 | 0.69 |
386de79b3332cca55c277c258064245a6736a9da | 3,050 | py | Python | functions/webhookFunc.py | VMAJSTER/openstreamingplatform | f002246db922dab9a3f019f46001f3901326feaf | [
"MIT"
] | 1 | 2021-09-26T05:32:00.000Z | 2021-09-26T05:32:00.000Z | functions/webhookFunc.py | VMAJSTER/openstreamingplatform | f002246db922dab9a3f019f46001f3901326feaf | [
"MIT"
] | null | null | null | functions/webhookFunc.py | VMAJSTER/openstreamingplatform | f002246db922dab9a3f019f46001f3901326feaf | [
"MIT"
] | null | null | null | import json
import requests
from classes.shared import db
from classes import webhook
from functions import system
@system.asynch
def runWebhook(channelID, triggerType, **kwargs):
webhookQueue = []
if channelID != "ZZZ":
webhookQuery = webhook.webhook.query.filter_by(channelID=channelID, requestTrig... | 41.780822 | 113 | 0.610492 |
386e5ef45612a24666bca4999398f2453ca33d7d | 127 | py | Python | django_learning/updates/admin.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | django_learning/updates/admin.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | django_learning/updates/admin.py | angelptli/django-learning | f0d25e4b85526c2c092c4e4d2f108e7602db7f0d | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import OwnerUpdate
# Register your models here.
admin.site.register(OwnerUpdate) | 25.4 | 32 | 0.826772 |
386e6973263d7a81483c527721031feb70e8451b | 18,215 | py | Python | alipay/aop/api/domain/InvoiceSendOpenModel.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/InvoiceSendOpenModel.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/InvoiceSendOpenModel.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.InvoiceItemOpenModel import InvoiceItemOpenModel
from alipay.aop.api.domain.InvoiceTitleOpenModel import InvoiceTitleOpenModel
from alipay.aop.api.domain.EinvTrade import EinvTrade
... | 36.140873 | 101 | 0.615317 |
386e767af1835a8c9a5ce113fdb113485eb13a76 | 5,485 | py | Python | light_field_tools/__init__.py | 1-MillionParanoidTterabytes/blender-addons-master | acc8fc23a38e6e89099c3e5079bea31ce85da06a | [
"Unlicense"
] | 1 | 2018-06-18T09:46:10.000Z | 2018-06-18T09:46:10.000Z | light_field_tools/__init__.py | 1-MillionParanoidTterabytes/blender-addons-master | acc8fc23a38e6e89099c3e5079bea31ce85da06a | [
"Unlicense"
] | null | null | null | light_field_tools/__init__.py | 1-MillionParanoidTterabytes/blender-addons-master | acc8fc23a38e6e89099c3e5079bea31ce85da06a | [
"Unlicense"
] | null | null | null | # ##### BEGIN GPL LICENSE BLOCK #####
#
# 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 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 29.972678 | 102 | 0.611121 |
386e79f36410373bcdb7c508996640b30a051123 | 2,413 | py | Python | det3d/utils/registry.py | anonymous0522/RAAN | 1e9cb9cd50bf99106ae33e10310eafed5b5ffbba | [
"MIT"
] | 33 | 2021-11-19T02:02:41.000Z | 2022-03-15T03:10:28.000Z | det3d/utils/registry.py | anonymous0522/RAAN | 1e9cb9cd50bf99106ae33e10310eafed5b5ffbba | [
"MIT"
] | null | null | null | det3d/utils/registry.py | anonymous0522/RAAN | 1e9cb9cd50bf99106ae33e10310eafed5b5ffbba | [
"MIT"
] | 3 | 2021-12-22T07:35:20.000Z | 2022-03-04T03:17:21.000Z | import inspect
from det3d import torchie
import pdb
class Registry(object):
def __init__(self, name):
self._name = name
self._module_dict = dict()
def __repr__(self):
format_str = self.__class__.__name__ + "(name={}, items={})".format(
self._name, list(self._module_dict.ke... | 30.935897 | 81 | 0.6092 |
386ea3feb21674ab284fb777fd833c77a379d17b | 20,357 | py | Python | mlapp/utils/features/pandas.py | kerenleibovich/mlapp | 0b8dfaba7a7070ab68cb29ff61dd1c7dd8076693 | [
"Apache-2.0"
] | 33 | 2021-02-26T10:41:09.000Z | 2021-11-07T12:35:32.000Z | mlapp/utils/features/pandas.py | kerenleibovich/mlapp | 0b8dfaba7a7070ab68cb29ff61dd1c7dd8076693 | [
"Apache-2.0"
] | 17 | 2021-03-04T15:37:21.000Z | 2021-04-06T12:00:13.000Z | mlapp/utils/features/pandas.py | kerenleibovich/mlapp | 0b8dfaba7a7070ab68cb29ff61dd1c7dd8076693 | [
"Apache-2.0"
] | 9 | 2021-03-03T20:02:41.000Z | 2021-10-05T13:03:56.000Z | import logging
from scipy import stats
import numpy as np
import pandas as pd
from sklearn.preprocessing import PolynomialFeatures
from pandas.core.dtypes.common import ensure_float64
from sklearn.metrics import precision_score, recall_score
logger = logging.getLogger(__name__)
logger.setLevel(logging.CRITICAL)
def ... | 41.629857 | 191 | 0.640762 |
386ebfd534bf97d4991ad484e425436d78cf9350 | 472 | py | Python | test.py | nimishsantosh107/GazeCorrection | 585e359ec9fa71fa799574c10bc61038f5f252c7 | [
"Apache-2.0"
] | 129 | 2019-06-04T13:31:38.000Z | 2022-03-17T03:14:58.000Z | test.py | nimishsantosh107/GazeCorrection | 585e359ec9fa71fa799574c10bc61038f5f252c7 | [
"Apache-2.0"
] | 15 | 2019-07-30T10:10:06.000Z | 2022-02-10T00:44:39.000Z | test.py | nimishsantosh107/GazeCorrection | 585e359ec9fa71fa799574c10bc61038f5f252c7 | [
"Apache-2.0"
] | 24 | 2019-06-20T12:34:05.000Z | 2021-08-16T08:28:54.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from Dataset import Dataset
from GazeGAN import Gaze_GAN
from config.train_options import TrainOptions
opt = TrainOptions().parse()
os.environ['CUDA_VISIBLE_DEVICES'] = str(opt.gpu_id)
... | 23.6 | 53 | 0.747881 |
386eea1bce5970c8b22fbe455fdb72e68250f202 | 13,440 | py | Python | nbs/docs/build_docs.py | yinleon/localnewsdataset | d97f2f86aa7da3813f6e388e637f9e7350e53178 | [
"MIT"
] | 17 | 2018-08-03T19:32:27.000Z | 2022-03-24T03:04:26.000Z | nbs/docs/build_docs.py | yinleon/localnewsdataset | d97f2f86aa7da3813f6e388e637f9e7350e53178 | [
"MIT"
] | 3 | 2018-11-20T20:17:34.000Z | 2021-03-01T18:49:44.000Z | nbs/docs/build_docs.py | yinleon/localnewsdataset | d97f2f86aa7da3813f6e388e637f9e7350e53178 | [
"MIT"
] | 5 | 2018-12-07T18:51:11.000Z | 2021-06-08T16:14:55.000Z | import os
import pandas as pd
import plotly.plotly as py
from IPython.core.display import HTML, display, Markdown, Latex
# common column definitions
website = 'The website of the media outlet exactly as we found it online.'
source = 'Where was this record scraped from?'
collection_date = 'When was this record collecte... | 36.821918 | 317 | 0.609003 |
386f32e6c81e6f98730849b0aefaff218866d7fe | 8,142 | py | Python | rotkehlchen/tests/test_kraken.py | bobkilla/rotkehlchen | f611351e39cb1ebcc16f1344b4f7adaa441cc763 | [
"BSD-3-Clause"
] | 1 | 2019-08-04T08:30:14.000Z | 2019-08-04T08:30:14.000Z | rotkehlchen/tests/test_kraken.py | bobkilla/rotkehlchen | f611351e39cb1ebcc16f1344b4f7adaa441cc763 | [
"BSD-3-Clause"
] | null | null | null | rotkehlchen/tests/test_kraken.py | bobkilla/rotkehlchen | f611351e39cb1ebcc16f1344b4f7adaa441cc763 | [
"BSD-3-Clause"
] | null | null | null | from copy import deepcopy
from unittest.mock import patch
import pytest
from rotkehlchen.assets.asset import Asset
from rotkehlchen.assets.converters import asset_from_kraken
from rotkehlchen.constants.assets import A_BTC, A_ETH
from rotkehlchen.errors import UnprocessableTradePair
from rotkehlchen.fval import FVal
f... | 36.026549 | 98 | 0.692459 |
386f43b28dec16219740529caff3804f58f78e19 | 1,449 | py | Python | usage/api/models/skipgram.py | VTurturika/ua_skipgram_cbow | 7ab198bed3fb72af638acfdee28141879f3cfabb | [
"MIT"
] | null | null | null | usage/api/models/skipgram.py | VTurturika/ua_skipgram_cbow | 7ab198bed3fb72af638acfdee28141879f3cfabb | [
"MIT"
] | null | null | null | usage/api/models/skipgram.py | VTurturika/ua_skipgram_cbow | 7ab198bed3fb72af638acfdee28141879f3cfabb | [
"MIT"
] | null | null | null | import argparse
import sys
import tensorflow as tf
def read_dictionary():
with open('models/skipgram/skipgram.tsv', 'r') as file:
words = file.read().split()
dictionary = {}
for (i, word) in enumerate(words):
dictionary[word] = i
reversed_dictionary = dict(zip(dictionar... | 34.5 | 86 | 0.673568 |
386f51c25143177f616fcc85945157858a269365 | 805 | py | Python | src/pynwb/ndx_nonrigid_motion_correction/test.py | bendichter/ndx-nonrigid-motion-correction | 5e4b6ebf0fdc545cdb92d1209249037fd6ae7bb4 | [
"BSD-3-Clause"
] | null | null | null | src/pynwb/ndx_nonrigid_motion_correction/test.py | bendichter/ndx-nonrigid-motion-correction | 5e4b6ebf0fdc545cdb92d1209249037fd6ae7bb4 | [
"BSD-3-Clause"
] | null | null | null | src/pynwb/ndx_nonrigid_motion_correction/test.py | bendichter/ndx-nonrigid-motion-correction | 5e4b6ebf0fdc545cdb92d1209249037fd6ae7bb4 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from datetime import datetime
from ndx_nonrigid_motion_correction import NonrigidMotionCorrection
from pynwb import NWBHDF5IO, NWBFile
print(NonrigidMotionCorrection.__init__.__doc__)
nmc = NonrigidMotionCorrection(name='demo', data=np.ones((3, 3)), pixel_map=np.ones((3, 3), dtype='int'),
... | 33.541667 | 105 | 0.715528 |
386f7faa88f845eba7d23447ee05e36f4a912b7b | 2,435 | py | Python | tests/batch_fetch/test_one_to_many_composite_keys.py | jd/sqlalchemy-utils | fa78e45f9bd38b46d5aface41914dad022c0099b | [
"BSD-3-Clause"
] | 1 | 2015-07-06T11:19:11.000Z | 2015-07-06T11:19:11.000Z | tests/batch_fetch/test_one_to_many_composite_keys.py | jd/sqlalchemy-utils | fa78e45f9bd38b46d5aface41914dad022c0099b | [
"BSD-3-Clause"
] | null | null | null | tests/batch_fetch/test_one_to_many_composite_keys.py | jd/sqlalchemy-utils | fa78e45f9bd38b46d5aface41914dad022c0099b | [
"BSD-3-Clause"
] | null | null | null | import sqlalchemy as sa
from sqlalchemy_utils import batch_fetch
from tests import TestCase
class TestBatchFetchWithCompositeKeyRelationships(TestCase):
def create_models(self):
class User(self.Base):
__tablename__ = 'user'
first_name = sa.Column(sa.Unicode(255), primary_key=True)
... | 32.905405 | 79 | 0.537166 |
386f8fcbf6ebd08cacb18a7b975e9dc19b1fabd6 | 5,457 | py | Python | autoesk_main/default/interact/__init__.py | SilasPDJ/autoesk_project_v2 | 249730307ad350a1aaacfd5abe08b0781253854e | [
"MIT"
] | 1 | 2021-03-12T00:40:13.000Z | 2021-03-12T00:40:13.000Z | autoesk_main/default/interact/__init__.py | SilasPDJ/autoesk_project_v2 | 249730307ad350a1aaacfd5abe08b0781253854e | [
"MIT"
] | 1 | 2021-04-02T04:40:38.000Z | 2021-04-02T04:42:20.000Z | autoesk_main/default/interact/__init__.py | SilasPDJ/autoesk_project_v2 | 249730307ad350a1aaacfd5abe08b0781253854e | [
"MIT"
] | null | null | null | # SyntaxWarning: import * only allowed at module level
from time import sleep
import threading
def press_key_b4(key: str):
from keyboard import is_pressed
"""
Só dá break quando uma tecla específica é pressionada, e então, continua o código
:param key:
:return:
"""
while True:
#
... | 28.274611 | 125 | 0.568444 |
386fa731bfb6eee6531623b91a994be338fabefe | 11,869 | py | Python | hummingbot/client/command/balance_command.py | RBUB-Yatirim/hummingbot | 6b278932d423110b70d723c2b11c6ddf668cb367 | [
"Apache-2.0"
] | 3 | 2021-04-23T23:29:37.000Z | 2021-07-31T12:44:54.000Z | hummingbot/client/command/balance_command.py | RBUB-Yatirim/hummingbot | 6b278932d423110b70d723c2b11c6ddf668cb367 | [
"Apache-2.0"
] | 3 | 2021-04-13T10:40:05.000Z | 2021-05-09T16:15:42.000Z | hummingbot/client/command/balance_command.py | RBUB-Yatirim/hummingbot | 6b278932d423110b70d723c2b11c6ddf668cb367 | [
"Apache-2.0"
] | 2 | 2021-01-19T09:42:18.000Z | 2021-05-08T08:07:43.000Z | from hummingbot.client.settings import (
GLOBAL_CONFIG_PATH,
ethereum_required_trading_pairs
)
from hummingbot.user.user_balances import UserBalances
from hummingbot.core.utils.async_utils import safe_ensure_future
from hummingbot.client.config.global_config_map import global_config_map
from hummingbot.client.c... | 44.620301 | 117 | 0.571657 |
386fcfe088d4f28fbebd44e296cd9fd5ce2077c1 | 3,095 | py | Python | base.py | blockchainhelppro/CelvinRost | aa2661747d06e4610928466521e4da1db77aeadc | [
"MIT"
] | 2 | 2018-08-15T21:27:59.000Z | 2018-08-21T17:56:12.000Z | base.py | blockchainhelppro/CelvinRost | aa2661747d06e4610928466521e4da1db77aeadc | [
"MIT"
] | null | null | null | base.py | blockchainhelppro/CelvinRost | aa2661747d06e4610928466521e4da1db77aeadc | [
"MIT"
] | 1 | 2018-07-27T07:19:49.000Z | 2018-07-27T07:19:49.000Z | from populus.contracts.exceptions import (
UnknownContract,
)
from populus.contracts.contract import (
construct_contract_factory,
)
class BaseContractBackend(object):
chain = None
def __init__(self, chain, config):
self.chain = chain
self.config = config
self.setup_backend()
... | 29.47619 | 77 | 0.632956 |
386fe125230744991484d1f2e282aa568d84c985 | 4,975 | py | Python | project/apps/main_site/migrations/0012_moving_to_new_sleep.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | null | null | null | project/apps/main_site/migrations/0012_moving_to_new_sleep.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | 4 | 2020-02-12T01:09:50.000Z | 2021-06-10T20:34:59.000Z | project/apps/main_site/migrations/0012_moving_to_new_sleep.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
class Migration(DataMigration):
def forwards(self, orm):
"Write your forwards methods here."
last_sleep = 8
for gb in orm['main_site.GutterBumper'].objects.order_... | 64.61039 | 173 | 0.551558 |
387009c22f1eec9aa0b9d3c0e0c87b39abdabc0c | 4,071 | py | Python | encoder.py | UtkarshMishra04/pixel-representations-RL | 8f457adcf41eb3b8975eaa5a752736c07b908c63 | [
"MIT"
] | 2 | 2021-10-31T05:12:19.000Z | 2021-12-16T11:56:12.000Z | encoder.py | UtkarshMishra04/pixel-representations-RL | 8f457adcf41eb3b8975eaa5a752736c07b908c63 | [
"MIT"
] | null | null | null | encoder.py | UtkarshMishra04/pixel-representations-RL | 8f457adcf41eb3b8975eaa5a752736c07b908c63 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
def tie_weights(src, trg):
assert type(src) == type(trg)
trg.weight = src.weight
trg.bias = src.bias
### Works with Finism SAC
# OUT_DIM = {2: 39, 4: 35, 6: 31}
# OUT_DIM_84 = {2: 39, 4: 35, 6: 31}
# OUT_DIM_100 = {2: 39, 4: 43, 6: 31}
### Works with RAD SAC
OUT_DIM =... | 28.669014 | 134 | 0.596168 |
387016956671cda7b090da2a01c485671d81dbbf | 955 | py | Python | Seeder/blacklists/migrations/0001_initial.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 8 | 2017-08-16T19:18:57.000Z | 2022-01-24T10:08:19.000Z | Seeder/blacklists/migrations/0001_initial.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 242 | 2017-02-03T19:15:52.000Z | 2022-03-25T08:02:52.000Z | Seeder/blacklists/migrations/0001_initial.py | WebarchivCZ/Seeder | 1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8 | [
"MIT"
] | 2 | 2019-03-06T12:36:29.000Z | 2019-07-08T12:52:20.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-06-25 16:47
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Blackl... | 30.806452 | 119 | 0.565445 |
38704ae8730a09b49dd15beacbdbe737b6b3e475 | 357,921 | py | Python | cinder/tests/unit/volume/drivers/hpe/test_hpe3par.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/volume/drivers/hpe/test_hpe3par.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/volume/drivers/hpe/test_hpe3par.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | # (c) Copyright 2013-2015 Hewlett Packard Enterprise Development LP
# 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/lic... | 42.372558 | 79 | 0.548367 |
38705caa8b4ee6f2cb8db228f7768fda99fffafc | 542 | py | Python | intro/ordering.py | RobertoRosa7/python | 449f3908a38814ec7ec3b3ce1051b8abe70069d2 | [
"MIT"
] | null | null | null | intro/ordering.py | RobertoRosa7/python | 449f3908a38814ec7ec3b3ce1051b8abe70069d2 | [
"MIT"
] | 2 | 2020-07-19T15:36:35.000Z | 2022-02-02T20:30:16.000Z | intro/ordering.py | RobertoRosa7/python | 449f3908a38814ec7ec3b3ce1051b8abe70069d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
class Pessoa:
def __init__(self, name, age):
self.name = name
self.age = age
def __repr__(self):
return self.name
# critério de ordenação
def byName(pessoa):
return pessoa.name
def byAge(pessoa):
return pessoa.age
p1 = Pessoa('João', 32)
p2 = Pessoa('Ana', 23)
p3 = Pe... | 19.357143 | 63 | 0.662362 |
3870cd752c564036c2c91d4ab48d7d471285e040 | 1,471 | py | Python | socialregistration/contrib/openid/models.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 63 | 2015-01-27T16:52:03.000Z | 2021-08-29T04:23:51.000Z | socialregistration/contrib/openid/models.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 3 | 2016-05-26T07:46:53.000Z | 2022-02-16T15:25:16.000Z | socialregistration/contrib/openid/models.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 23 | 2015-02-02T13:33:46.000Z | 2020-10-25T20:02:53.000Z | from django.conf import settings
from django.db import models
from django.contrib.sites.models import Site
from django.contrib.auth import authenticate
AUTH_USER_MODEL = getattr(settings, 'AUTH_USER_MODEL', 'auth.User')
class OpenIDProfile(models.Model):
user = models.ForeignKey(AUTH_USER_MODEL)
site = models... | 35.02381 | 88 | 0.721958 |
3870e451d1644a232c9549ab36b9c4744e679041 | 2,116 | py | Python | Image/OpenCV/tattoo/main.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 58 | 2019-03-03T04:42:23.000Z | 2022-01-13T04:36:31.000Z | Image/OpenCV/tattoo/main.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | null | null | null | Image/OpenCV/tattoo/main.py | YangXiaoo/NoteBook | 37056acad7a05b876832f72ac34d3d1a41e0dd22 | [
"CNRI-Python",
"RSA-MD",
"CECILL-B"
] | 28 | 2019-08-11T01:25:00.000Z | 2021-08-22T06:46:06.000Z | # 2018-9-8
# 标签检测主文件
import os
import cv2
import numpy as np
import sys
def main(descriptor_folder, query_image):
"""
主文件
descriptor_folder: 描述符文件目录
query_image: 查询图片路径
"""
descriptors = []
for root, dirs, files in os.walk(descriptor_folder, topdown=False):
for f in files:
... | 30.228571 | 93 | 0.608696 |
387132b7390e57fbb016dc64f127f6e3eceac8f6 | 2,035 | py | Python | src/cfg/test.py | GiovanniBellorio/Offuscatore-python | ab56f7b3efbc0b25dc4cd055cb01ccc8a14b6c3b | [
"MIT"
] | 1 | 2021-12-17T13:58:12.000Z | 2021-12-17T13:58:12.000Z | src/cfg/test.py | GiovanniBellorio/Offuscatore-python | ab56f7b3efbc0b25dc4cd055cb01ccc8a14b6c3b | [
"MIT"
] | null | null | null | src/cfg/test.py | GiovanniBellorio/Offuscatore-python | ab56f7b3efbc0b25dc4cd055cb01ccc8a14b6c3b | [
"MIT"
] | null | null | null | digraph "clustertest.py" {
graph [label="test.py"]
1 [label="if True:
"]
2 [label="pippo = 'pippo'
print(pippo[2])
ciao = pippo[2] + pippo[3]
print(ciao)
tmp = pippo.replace('p', 'a')
print(tmp)
ciao = pippo
prova = [pippo, pippo]
print(prova)
provs = ['a', 'b']
print(provs)
dicto = {'ciao': 'ciao'}
print(dicto)
dic... | 16.41129 | 44 | 0.574939 |
3871491188144855f5378af17dd176d40b30a9e9 | 1,157 | py | Python | tests/data/multipoint_beam/interp_base.py | relf/WhatsOpt-CLI | 85551102c28b2bd404207521fd9020435415d469 | [
"Apache-2.0"
] | 5 | 2019-11-13T08:05:57.000Z | 2022-01-03T14:35:49.000Z | tests/data/multipoint_beam/interp_base.py | relf/WhatsOpt-CLI | 85551102c28b2bd404207521fd9020435415d469 | [
"Apache-2.0"
] | 4 | 2019-12-19T14:43:17.000Z | 2021-06-21T09:28:31.000Z | tests/data/multipoint_beam/interp_base.py | relf/WhatsOpt-CLI | 85551102c28b2bd404207521fd9020435415d469 | [
"Apache-2.0"
] | 5 | 2019-03-29T09:51:25.000Z | 2021-06-08T14:10:52.000Z | # -*- coding: utf-8 -*-
"""
interp_base.py generated by WhatsOpt 1.8.2
"""
# DO NOT EDIT unless you know what you are doing
# whatsopt_url: https://ether.onera.fr/whatsopt
# analysis_id: 4
import numpy as np
from numpy import nan
from os import path
from importlib import import_module
from yaml import load, FullLoa... | 29.666667 | 74 | 0.62057 |
38714e8ac376eafb184aa456a5ad7283e313586b | 2,804 | py | Python | libcloudforensics/errors.py | zkck/cloud-forensics-utils | ac1cdf74b595cf57629c23a52e46da98283e552f | [
"Apache-2.0"
] | 241 | 2020-02-08T20:05:54.000Z | 2022-03-31T23:51:30.000Z | libcloudforensics/errors.py | zkck/cloud-forensics-utils | ac1cdf74b595cf57629c23a52e46da98283e552f | [
"Apache-2.0"
] | 376 | 2020-02-05T10:22:54.000Z | 2022-03-30T00:09:18.000Z | libcloudforensics/errors.py | zkck/cloud-forensics-utils | ac1cdf74b595cf57629c23a52e46da98283e552f | [
"Apache-2.0"
] | 72 | 2020-02-06T07:34:30.000Z | 2022-03-05T18:02:13.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 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 ... | 29.829787 | 78 | 0.735021 |
387159ca75dab14dfd4fc8ceba9cc35652263cc3 | 6,846 | py | Python | multiuser_manual_db.py | TerryCM/migration-annotation | 9bd31ac7e1901dd04ecf793bf73c420f8cfd1812 | [
"MIT"
] | null | null | null | multiuser_manual_db.py | TerryCM/migration-annotation | 9bd31ac7e1901dd04ecf793bf73c420f8cfd1812 | [
"MIT"
] | null | null | null | multiuser_manual_db.py | TerryCM/migration-annotation | 9bd31ac7e1901dd04ecf793bf73c420f8cfd1812 | [
"MIT"
] | null | null | null | import prodigy
from multiprocessing import Process
from time import sleep
import atexit
from pathlib import Path
from prodigy.components import printers
from prodigy.components.loaders import get_stream
from prodigy.core import recipe, recipe_args
from prodigy.util import TASK_HASH_ATTR, log
from prodigy.components.pr... | 34.40201 | 103 | 0.588227 |
38716e5c701dfb6051324ecabe6b0c6788c45093 | 5,875 | py | Python | src/events/inviteEvents.py | ayman2598/GabbyGums | b68ab01610ac399aa2b7daa97d5d71dd0d1b19d6 | [
"Apache-2.0"
] | 2 | 2019-12-13T20:06:14.000Z | 2022-01-23T00:34:29.000Z | src/events/inviteEvents.py | ayman2598/GabbyGums | b68ab01610ac399aa2b7daa97d5d71dd0d1b19d6 | [
"Apache-2.0"
] | 23 | 2019-10-19T16:55:45.000Z | 2020-03-14T16:18:05.000Z | src/events/inviteEvents.py | amadea-system/GabbyGums | b68ab01610ac399aa2b7daa97d5d71dd0d1b19d6 | [
"Apache-2.0"
] | 6 | 2019-12-13T20:06:17.000Z | 2021-02-12T16:21:04.000Z | """
Cog for the on_member_update event.
Logs from this event include:
Nickname changes in a guild (guild_member_nickname)
Part of the Gabby Gums Discord Logger.
"""
import asyncio
import logging
from datetime import datetime
from typing import TYPE_CHECKING, Optional, Dict, List, Union, Tuple, NamedTuple
import ... | 41.666667 | 178 | 0.638979 |
3871841f6a42fe830dbec6a348aea4af8cf206a8 | 16,039 | py | Python | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_database_recommended_actions_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_database_recommended_actions_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_database_recommended_actions_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 42.770667 | 251 | 0.690442 |
3871872b3c31a54c167ab4a4360540e4ada308a7 | 5,768 | py | Python | clif/pybind11/lambdas.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | clif/pybind11/lambdas.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | clif/pybind11/lambdas.py | timgates42/clif | b865c88beff70b31068889926d1184d5ddc0b9eb | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# 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 writing, ... | 35.826087 | 78 | 0.726942 |
38719b3a986dde520160daac46da3f0f66d67bb1 | 2,717 | py | Python | Classifier/SVM.py | ausaafnabi/Machine-Learning-Projects | 3a731cd63e387e1d47070566fba708ad4e1e3729 | [
"MIT"
] | 1 | 2020-01-18T07:47:36.000Z | 2020-01-18T07:47:36.000Z | Classifier/SVM.py | ausaafnabi/Machine-Learning-Projects | 3a731cd63e387e1d47070566fba708ad4e1e3729 | [
"MIT"
] | 1 | 2020-03-15T15:49:09.000Z | 2020-03-15T15:49:09.000Z | Classifier/SVM.py | ausaafnabi/Machine-Learning-Projects | 3a731cd63e387e1d47070566fba708ad4e1e3729 | [
"MIT"
] | null | null | null | import pandas as pd
import pylab as pl
import numpy as np
import os
import scipy.optimize as opt
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
DATASET_PATH = os.path.join("../","datasets")
csv_file_path = os.path.join(DATASET_PATH,"cell_samples.c... | 32.73494 | 122 | 0.746043 |
38719e7517951fec84704b9fc547ab609f2f3d7b | 899 | py | Python | t2t_csaky/scripts/remove.py | ricsinaruto/Chatbots | 898cd7eeb9aa71cf1be0ad434695ca9beb3fd1ec | [
"MIT"
] | 508 | 2017-08-19T21:29:16.000Z | 2022-03-29T19:17:59.000Z | t2t_csaky/scripts/remove.py | jaytsien/Seq2seqChatbots | 3dc6e037672b87183b237fa5c1390c81cfaecf0e | [
"MIT"
] | 17 | 2018-06-26T10:33:05.000Z | 2022-02-09T23:28:02.000Z | t2t_csaky/scripts/remove.py | jaytsien/Seq2seqChatbots | 3dc6e037672b87183b237fa5c1390c81cfaecf0e | [
"MIT"
] | 76 | 2017-11-10T05:53:43.000Z | 2021-07-20T13:30:51.000Z | import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--tokens', type=str,
help='file containing the tokens '
'to be removed from the input file')
parser.add_argument('-o', '--output', type=str,
help='name... | 29 | 79 | 0.581758 |
3871a3c9fa31a7007d593be363fe02c10720faa9 | 233 | py | Python | src/ackermann/__init__.py | baldulin/ackermann | e9cb7648c14610b249256a0531a533e3d2b7c70e | [
"MIT"
] | 2 | 2021-05-17T07:27:02.000Z | 2021-06-24T18:48:43.000Z | src/ackermann/__init__.py | baldulin/ackermann | e9cb7648c14610b249256a0531a533e3d2b7c70e | [
"MIT"
] | null | null | null | src/ackermann/__init__.py | baldulin/ackermann | e9cb7648c14610b249256a0531a533e3d2b7c70e | [
"MIT"
] | null | null | null | """
Ackerman runs commands after executing the right targets.
"""
from .command import Command
from .config import (Config, async_init, async_run, config_unit, get_config,
init, run)
from .vars import ConfigVar
| 25.888889 | 76 | 0.708155 |
3871a6b8fc1e6430d018b12e8f3dc2d1ab8191b0 | 3,779 | py | Python | pyjac/tests/test_chem_model.py | stgeke/pyJac-v2 | c2716a05df432efd8e5f6cc5cc3d46b72c24c019 | [
"MIT"
] | 9 | 2018-10-08T07:49:20.000Z | 2021-06-26T15:28:30.000Z | pyjac/tests/test_chem_model.py | stgeke/pyJac-v2 | c2716a05df432efd8e5f6cc5cc3d46b72c24c019 | [
"MIT"
] | 13 | 2018-09-01T14:17:51.000Z | 2021-07-30T16:19:33.000Z | pyjac/tests/test_chem_model.py | arghdos/spyJac | bdd6940c27681e3b19ee41efb31abd20a89d1be8 | [
"MIT"
] | 7 | 2018-09-08T11:57:34.000Z | 2022-02-14T13:57:20.000Z | from pyjac.core.enum_types import falloff_form, reaction_type, reversible_type, \
thd_body_type
from pyjac.tests import TestClass
class SubTest(TestClass):
def test_finalize(self):
reacs = self.store.reacs
for i, reac in enumerate(reacs):
# for each reaction, test that we have the... | 45.53012 | 81 | 0.525271 |
3871aaa43666c3d4d2140c97b09f9acf13f26b39 | 4,628 | py | Python | qnarre/doc/patcher.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre/doc/patcher.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre/doc/patcher.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | # Copyright 2019 Quantapix 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 applicable l... | 28.219512 | 79 | 0.513397 |
3871b64d062aff19abbb849785a98dfe95ffc4fd | 2,513 | py | Python | luafun/exporter/extract_logs.py | Delaunay/LuaFun | bd0efd8fc2b064d6bf58993e59a6ad4ac6713b39 | [
"BSD-3-Clause"
] | 1 | 2021-02-06T06:42:29.000Z | 2021-02-06T06:42:29.000Z | luafun/exporter/extract_logs.py | Delaunay/LuaFun | bd0efd8fc2b064d6bf58993e59a6ad4ac6713b39 | [
"BSD-3-Clause"
] | 6 | 2021-04-08T21:46:06.000Z | 2021-05-09T01:40:04.000Z | luafun/exporter/extract_logs.py | Delaunay/LuaFun | bd0efd8fc2b064d6bf58993e59a6ad4ac6713b39 | [
"BSD-3-Clause"
] | null | null | null | import json
from luafun.game.ipc_recv import IPC_RECV
import luafun.game.constants as const
from luafun.observation.minimap import new_origin, show_tensor, to_image
import torch
def read_logs(filename, img):
# this tensor is 3.3Go
s = img.shape[1] - 1
scale = s / const.SIZE[0]
origin = const.ORIGIN
... | 25.907216 | 115 | 0.581377 |
3871ca5f362b4aaf87e0f41f3eeef4cac2416193 | 406 | py | Python | testmaster/dummyprograms/parseable_output.py | S-P-A-N-N-E-R-S/Testmaster | e0804b30a6f77c136eca890e692ea54195a31bb9 | [
"BSD-3-Clause"
] | null | null | null | testmaster/dummyprograms/parseable_output.py | S-P-A-N-N-E-R-S/Testmaster | e0804b30a6f77c136eca890e692ea54195a31bb9 | [
"BSD-3-Clause"
] | null | null | null | testmaster/dummyprograms/parseable_output.py | S-P-A-N-N-E-R-S/Testmaster | e0804b30a6f77c136eca890e692ea54195a31bb9 | [
"BSD-3-Clause"
] | null | null | null | import json
output = {
"command": "algoid231223", # optional key
"status": "Success",
"runtime": 1234,
"weight": 342,
"actual_stretch": 1.523,
"graph_information": {
"nodes": 231,
"edges": 1000,
"directed": False,
"weighted": True,
"simple": True
},... | 21.368421 | 56 | 0.541872 |
3871de12602bc960f735283a147ff9bf8d27ca8f | 16,140 | py | Python | salt/cloud/clouds/dimensiondata.py | silviud/salt | 9d35ea66428a030d00ef1a2f3b93ecfe90be023c | [
"Apache-2.0"
] | 1 | 2018-09-19T22:42:54.000Z | 2018-09-19T22:42:54.000Z | salt/cloud/clouds/dimensiondata.py | silviud/salt | 9d35ea66428a030d00ef1a2f3b93ecfe90be023c | [
"Apache-2.0"
] | null | null | null | salt/cloud/clouds/dimensiondata.py | silviud/salt | 9d35ea66428a030d00ef1a2f3b93ecfe90be023c | [
"Apache-2.0"
] | 1 | 2020-02-22T07:11:26.000Z | 2020-02-22T07:11:26.000Z | # -*- coding: utf-8 -*-
'''
Dimension Data Cloud Module
===========================
This is a cloud module for the Dimension Data Cloud,
using the existing Libcloud driver for Dimension Data.
.. code-block:: yaml
# Note: This example is for /etc/salt/cloud.providers
# or any file in the
# /etc/salt/cloud... | 28.976661 | 114 | 0.612639 |
3871f34e1e667113269cd110d805864fdd489d55 | 2,635 | py | Python | moler/observer_thread_wrapper.py | AdamKlekowski/moler | 9d032bad402d9863685b2a8624320566512c14cc | [
"BSD-3-Clause"
] | 2 | 2021-03-14T15:17:10.000Z | 2021-03-15T07:12:12.000Z | moler/observer_thread_wrapper.py | Laymer/moler | 2d7b89efdc2ca5e9975112b97934b396e24b5505 | [
"BSD-3-Clause"
] | null | null | null | moler/observer_thread_wrapper.py | Laymer/moler | 2d7b89efdc2ca5e9975112b97934b396e24b5505 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'Marcin Usielski'
__copyright__ = 'Copyright (C) 2020, Nokia'
__email__ = 'marcin.usielski@nokia.com'
from threading import Thread
from moler.config.loggers import TRACE
try:
import queue
except ImportError:
import Queue as queue # For python 2
class ObserverThreadWrap... | 32.9375 | 116 | 0.588235 |
387230326279b8979675e54dd28ea62563ce5f81 | 10,320 | py | Python | generated/python/gapic-google-cloud-pubsub-v1/docs/conf.py | landrito/api-client-staging | 140c312c9335af160efce5b37842c995308e0148 | [
"BSD-3-Clause"
] | 18 | 2016-12-08T20:47:57.000Z | 2022-01-29T19:36:04.000Z | generated/python/gapic-google-cloud-pubsub-v1/docs/conf.py | landrito/api-client-staging | 140c312c9335af160efce5b37842c995308e0148 | [
"BSD-3-Clause"
] | 252 | 2016-09-21T20:51:36.000Z | 2021-03-25T23:02:36.000Z | generated/python/gapic-google-cloud-pubsub-v1/docs/conf.py | landrito/api-client-staging | 140c312c9335af160efce5b37842c995308e0148 | [
"BSD-3-Clause"
] | 37 | 2016-09-19T21:13:16.000Z | 2022-01-29T19:36:07.000Z | # -*- coding: utf-8 -*-
#
# gapic-google-cloud-pubsub-v1 documentation build configuration file
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; ... | 33.076923 | 79 | 0.721318 |
387240ff3eabb662b149d995c044681aed9d7147 | 1,473 | py | Python | tests/data/expected/main/main_openapi_nullable/output.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 891 | 2019-07-23T04:23:32.000Z | 2022-03-31T13:36:33.000Z | tests/data/expected/main/main_openapi_nullable/output.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 663 | 2019-07-23T09:50:26.000Z | 2022-03-29T01:56:55.000Z | tests/data/expected/main/main_openapi_nullable/output.py | adaamz/datamodel-code-generator | 3b34573f35f8d420e4668a85047c757fd1da7754 | [
"MIT"
] | 108 | 2019-07-23T08:50:37.000Z | 2022-03-09T10:50:22.000Z | # generated by datamodel-codegen:
# filename: nullable.yaml
# timestamp: 2019-07-26T00:00:00+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import AnyUrl, BaseModel, Field
class Cursors(BaseModel):
prev: str
next: Optional[str] = 'last'
index: float
ta... | 19.64 | 67 | 0.679566 |
387259710681d471d72d2832cbe38df691bf2b39 | 2,825 | py | Python | projx/modules/nx_xtrct.py | davebshow/projx | c055c6db87c2b00eb222f984c8688fe4e4644881 | [
"MIT"
] | 8 | 2016-03-30T23:30:34.000Z | 2021-09-21T08:09:51.000Z | projx/modules/nx_xtrct.py | davebshow/projx | c055c6db87c2b00eb222f984c8688fe4e4644881 | [
"MIT"
] | null | null | null | projx/modules/nx_xtrct.py | davebshow/projx | c055c6db87c2b00eb222f984c8688fe4e4644881 | [
"MIT"
] | 1 | 2020-03-20T13:27:04.000Z | 2020-03-20T13:27:04.000Z | # -*- coding: utf-8 -*-
"""
Extractor and stream generator for the NetworkX data source.
"""
from projx import nxprojx
def nx_extractor(extractor_json, graph):
"""
Parses etl extractor JSON and produces all of the data necessary for
transformation.
:param extractor: JSON.
:param graph: networkx.G... | 33.630952 | 80 | 0.622655 |
387266268633e16f66a7cc4fcdfe36b74ba80615 | 7,217 | py | Python | tests/test_python_searcher.py | proggga/hardest | 234cb41115c30a756ee11ed7c5fa41c9979d3303 | [
"MIT"
] | 2 | 2018-02-03T13:43:25.000Z | 2021-12-03T16:13:49.000Z | tests/test_python_searcher.py | proggga/hardest | 234cb41115c30a756ee11ed7c5fa41c9979d3303 | [
"MIT"
] | 8 | 2017-08-16T08:34:59.000Z | 2018-02-05T18:30:44.000Z | tests/test_python_searcher.py | proggga/hardest | 234cb41115c30a756ee11ed7c5fa41c9979d3303 | [
"MIT"
] | 1 | 2018-02-05T18:26:20.000Z | 2018-02-05T18:26:20.000Z | """Test python_searcher class.
Should search next python implementations:
python
anaconda
ironpython
jython
micropython
miniconda
pypy
pyston
stackless
"""
import os
import unittest
# from functools import reduce # pylint: disable=redefined-builtin
from typing import Dict # noqa... | 35.377451 | 79 | 0.59831 |
387271dad04c685437fcf9a897e5ec18de10d822 | 4,816 | py | Python | varecof_io/tests/test__write_input.py | sjklipp/interfaces | 646673ac125c4b48e69a64025a36abd1b2ace696 | [
"Apache-2.0"
] | null | null | null | varecof_io/tests/test__write_input.py | sjklipp/interfaces | 646673ac125c4b48e69a64025a36abd1b2ace696 | [
"Apache-2.0"
] | null | null | null | varecof_io/tests/test__write_input.py | sjklipp/interfaces | 646673ac125c4b48e69a64025a36abd1b2ace696 | [
"Apache-2.0"
] | null | null | null | """
Tests the varecof_io.writer functions
"""
import varecof_io
def test__tst_writer():
""" tests varecof_io.writer.input_file.tst
"""
# Write the tst input string
nsamp_max = 2000
nsamp_min = 500
flux_err = 5
pes_size = 1
ener_grid = [0, 20, 1.05, 179]
amom_grid = [0, 3, 1.10,... | 29.365854 | 68 | 0.613372 |
38727f40851a3bca37c42a62d4a91bd9f5345ef7 | 8,949 | py | Python | Tools/SeeDot/seedot/compiler/converter/bonsai.py | krantikiran/EdgeML | e5c7bd7c56884ca61f6d54cedb0074553cfdc896 | [
"MIT"
] | 1 | 2020-03-26T17:19:54.000Z | 2020-03-26T17:19:54.000Z | Tools/SeeDot/seedot/compiler/converter/bonsai.py | krantikiran/EdgeML | e5c7bd7c56884ca61f6d54cedb0074553cfdc896 | [
"MIT"
] | 2 | 2020-03-26T02:59:12.000Z | 2020-04-23T19:09:00.000Z | Tools/SeeDot/seedot/compiler/converter/bonsai.py | krantikiran/EdgeML | e5c7bd7c56884ca61f6d54cedb0074553cfdc896 | [
"MIT"
] | 3 | 2020-03-25T18:45:39.000Z | 2020-12-17T19:09:54.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
import numpy as np
import math
import os
from seedot.compiler.converter.util import *
# Class to read Bonsai model dumps and generate input files (C header file and the compiler input)
# The two classes BonsaiFixed and Bons... | 39.25 | 124 | 0.55928 |
38728382f2a4a718cca26b25a157c09bc904be86 | 7,070 | py | Python | tests/activations/test_hooks.py | BonnerLab/model-tools | ac90617cd79bb70a308e34a1e834971498329fb0 | [
"MIT"
] | null | null | null | tests/activations/test_hooks.py | BonnerLab/model-tools | ac90617cd79bb70a308e34a1e834971498329fb0 | [
"MIT"
] | null | null | null | tests/activations/test_hooks.py | BonnerLab/model-tools | ac90617cd79bb70a308e34a1e834971498329fb0 | [
"MIT"
] | null | null | null | from pathlib import Path
import os; os.environ['RESULTCACHING_HOME'] = str(Path(__file__).parent / 'result_caching')
import pytest
from result_caching import get_function_identifier
from model_tools.activations.hooks import LayerGlobalMaxPool2d, LayerRandomProjection, LayerPCA
from tests.activations.test___init__ imp... | 48.095238 | 113 | 0.652475 |
3872cc2343e99641e542e4c01ba9eb17df11e540 | 14,375 | py | Python | asv/commands/compare.py | prisae/asv | 57c386d7cc27f91ecd8daf1ad2e0413f2efdd39c | [
"BSD-3-Clause"
] | 2 | 2019-08-18T11:05:25.000Z | 2019-11-17T02:07:18.000Z | asv/commands/compare.py | prisae/asv | 57c386d7cc27f91ecd8daf1ad2e0413f2efdd39c | [
"BSD-3-Clause"
] | 3 | 2018-07-11T12:58:09.000Z | 2018-08-21T19:57:09.000Z | asv/commands/compare.py | prisae/asv | 57c386d7cc27f91ecd8daf1ad2e0413f2efdd39c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import itertools
from . import Command
from ..benchmarks import Benchmarks
from ..machine import iter_machine_files
from... | 34.890777 | 97 | 0.533704 |
38731e8e8e9ca1b6b70cb9b93857148e42e6ffd7 | 1,169 | py | Python | examples/transient_examples/long_transient_search_MCMC.py | pepCV/PyFstat | b30919962e9730e24d514e9e9fe89289a002d428 | [
"MIT"
] | 2 | 2020-01-28T08:29:29.000Z | 2020-01-28T13:29:24.000Z | examples/transient_examples/long_transient_search_MCMC.py | GregoryAshton/PyFstat | 4f7a96d4aeb778b3b322b03897f7d65c0ccf1190 | [
"MIT"
] | null | null | null | examples/transient_examples/long_transient_search_MCMC.py | GregoryAshton/PyFstat | 4f7a96d4aeb778b3b322b03897f7d65c0ccf1190 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pyfstat
F0 = 30.0
F1 = -1e-10
F2 = 0
Alpha = 0.5
Delta = 1
minStartTime = 1000000000
maxStartTime = minStartTime + 200 * 86400
Tspan = maxStartTime - minStartTime
tref = minStartTime
DeltaF0 = 6e-7
DeltaF1 = 1e-13
theta_prior = {
"F0": {"type": "unif", "lower": F0 - DeltaF0 / 2.0, ... | 21.254545 | 85 | 0.643285 |
38733327f1c5fe0b6b021bb44c08877c019645ad | 2,966 | py | Python | nova/api/openstack/compute/admin_password.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/api/openstack/compute/admin_password.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/api/openstack/compute/admin_password.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 IBM Corp.
#
# 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 t... | 37.075 | 79 | 0.71207 |
38733f0d9b09d50e2183816ae4f84e0ef15cf7da | 351 | py | Python | glimix_core/_ep/__init__.py | Horta/limix-inference | 1ba102fc544f8d307412d361b574da9d4c166f8e | [
"MIT"
] | 7 | 2019-06-10T12:27:25.000Z | 2021-07-23T16:36:04.000Z | glimix_core/_ep/__init__.py | Horta/limix-inference | 1ba102fc544f8d307412d361b574da9d4c166f8e | [
"MIT"
] | 12 | 2017-05-28T10:59:31.000Z | 2021-05-17T20:11:00.000Z | glimix_core/_ep/__init__.py | Horta/limix-inference | 1ba102fc544f8d307412d361b574da9d4c166f8e | [
"MIT"
] | 5 | 2017-08-27T20:13:45.000Z | 2022-02-14T06:33:14.000Z | """
Expectation Propagation
=======================
Introduction
------------
This module implements the building-blocks for EP inference: EP parameter
fitting, log of the marginal likelihood, and derivative of the log of the
marginal likelihood.
"""
from .ep import EP
from .linear_kernel import EPLinearKernel
__al... | 20.647059 | 73 | 0.703704 |
38737d0e0b8e643c8332487f876bd658b3ef0686 | 56 | py | Python | drforest/ensemble/__init__.py | joshloyal/drforest | ab1e3f01cab36f15f1c37b82f71421cd025c901e | [
"MIT"
] | 2 | 2021-09-22T12:15:43.000Z | 2022-01-04T12:59:50.000Z | drforest/ensemble/__init__.py | joshloyal/drforest | ab1e3f01cab36f15f1c37b82f71421cd025c901e | [
"MIT"
] | null | null | null | drforest/ensemble/__init__.py | joshloyal/drforest | ab1e3f01cab36f15f1c37b82f71421cd025c901e | [
"MIT"
] | null | null | null | from .forest import *
from .feature_importance import *
| 18.666667 | 33 | 0.785714 |
38739a0232c93523e0617c6132e7112a38b6b038 | 1,766 | py | Python | scripts/artifacts/smanagerCrash.py | JamieSharpe/ALEAPP | acb06736d772d75c9dc0fd58b9f2a1726e795fb4 | [
"MIT"
] | null | null | null | scripts/artifacts/smanagerCrash.py | JamieSharpe/ALEAPP | acb06736d772d75c9dc0fd58b9f2a1726e795fb4 | [
"MIT"
] | null | null | null | scripts/artifacts/smanagerCrash.py | JamieSharpe/ALEAPP | acb06736d772d75c9dc0fd58b9f2a1726e795fb4 | [
"MIT"
] | null | null | null | from scripts.ilapfuncs import timeline, open_sqlite_db_readonly
from scripts.plugin_base import ArtefactPlugin
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, tsv
from scripts import artifact_report
class SManagerCrashPlugin(ArtefactPlugin):
"""
"""
def __init... | 32.109091 | 133 | 0.6359 |
3873c77dc81abec8937b79128cddbd49ef6d961d | 1,455 | py | Python | junseok/code/dkt/features.py | DongjaeJang/Deep-Knowledge-Tracing | aab72939a6cbdfc8b7f11bf074040b48771cbf3f | [
"Unlicense"
] | null | null | null | junseok/code/dkt/features.py | DongjaeJang/Deep-Knowledge-Tracing | aab72939a6cbdfc8b7f11bf074040b48771cbf3f | [
"Unlicense"
] | null | null | null | junseok/code/dkt/features.py | DongjaeJang/Deep-Knowledge-Tracing | aab72939a6cbdfc8b7f11bf074040b48771cbf3f | [
"Unlicense"
] | null | null | null | import os
import pandas as pd
'''
suffix of preprocessing
- a: add row
- c: add colmun
- d: change column
'''
def get_cache(colmun_name:str, data_dir='/opt/ml/input/data/train_dataset/features/', parse_dates=False, dtype=None):
if parse_dates:
return pd.read_csv(data_dir+colmun_name, dtype=dtype, parse... | 30.957447 | 150 | 0.690722 |
3873ef454ae88c3f603b67a72ff8d412a3215a45 | 1,131 | py | Python | cmd.py | wizzat/shell | 059c97fd73bb2327526e6c659a7a4a55f73f16e0 | [
"MIT"
] | null | null | null | cmd.py | wizzat/shell | 059c97fd73bb2327526e6c659a7a4a55f73f16e0 | [
"MIT"
] | null | null | null | cmd.py | wizzat/shell | 059c97fd73bb2327526e6c659a7a4a55f73f16e0 | [
"MIT"
] | null | null | null | from __future__ import (absolute_import, division, print_function, unicode_literals)
import errno
import subprocess
import tempfile
import threading
subprocess_lock = threading.RLock()
def run_cmd(cmdline, env = None, shell = False):
"""
Shamelessly stolen from my own repository (wizzat.py)
Executes a com... | 26.302326 | 86 | 0.572944 |
3873f4fb6d9d675f4cadc27c08f5b07ac33a6dc8 | 2,088 | py | Python | pygenesys/make_config.py | arfc/pygenesys | 2ac0c1fbe7c2dffd0135cf8c52d2c8b31cc31ab4 | [
"BSD-3-Clause"
] | 1 | 2021-05-27T18:28:48.000Z | 2021-05-27T18:28:48.000Z | pygenesys/make_config.py | arfc/pygenesys | 2ac0c1fbe7c2dffd0135cf8c52d2c8b31cc31ab4 | [
"BSD-3-Clause"
] | 34 | 2021-05-31T18:52:46.000Z | 2022-03-07T17:57:13.000Z | pygenesys/make_config.py | arfc/pygenesys | 2ac0c1fbe7c2dffd0135cf8c52d2c8b31cc31ab4 | [
"BSD-3-Clause"
] | 2 | 2021-05-27T18:30:46.000Z | 2021-06-01T14:09:48.000Z | import jinja2
import os
import glob
curr_dir = os.path.dirname(__file__)
default_template = curr_dir+'/config_template.txt'
def load_template(input_path, input_fname):
"""
Returns a jinja2 template from file.
Parameters
---------
input_path : string
Path to input template
input_fname: ... | 28.216216 | 66 | 0.616379 |
3873f9f0201daec22903f56cca696d471d5088fa | 1,802 | py | Python | .leetcode/77.combinations.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | .leetcode/77.combinations.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | .leetcode/77.combinations.py | KuiyuanFu/PythonLeetCode | 8962df2fa838eb7ae48fa59de272ba55a89756d8 | [
"MIT"
] | null | null | null | # @lc app=leetcode id=77 lang=python3
#
# [77] Combinations
#
# https://leetcode.com/problems/combinations/description/
#
# algorithms
# Medium (58.10%)
# Likes: 2202
# Dislikes: 82
# Total Accepted: 360.2K
# Total Submissions: 619.6K
# Testcase Example: '4\n2'
#
# Given two integers n and k, return all possible... | 16.381818 | 79 | 0.536626 |
387400eba5c1a3d41b4740670ba7c340161c4b73 | 3,481 | py | Python | datastructures/dsu/dsu_template.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | 10 | 2020-09-21T22:23:09.000Z | 2022-01-25T16:58:44.000Z | datastructures/dsu/dsu_template.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | null | null | null | datastructures/dsu/dsu_template.py | hariharanragothaman/pymaster | b3d033b4d5c75c69f587c94d9d12cd4a349a6a69 | [
"Apache-2.0"
] | null | null | null | """
This data-structure can help us group nodes into different sets.
Through this, we can eventually
1. Find number of connected components.
2. How many sets of connected components & find the connected components
3. Determine if there is a cycle in the graph
Future applications
1. Path-compression etc. - Makes sense... | 28.300813 | 108 | 0.578282 |
387420b7be7600830c4a395231c34bb561970b53 | 3,543 | py | Python | Tools/Scripts/webkitpy/common/system/path_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 6 | 2021-07-05T16:09:39.000Z | 2022-03-06T22:44:42.000Z | Tools/Scripts/webkitpy/common/system/path_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 7 | 2022-03-15T13:25:39.000Z | 2022-03-15T13:25:44.000Z | Tools/Scripts/webkitpy/common/system/path_unittest.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | null | null | null | # Copyright (C) 2010 Google Inc. 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 conditions and the f... | 43.207317 | 101 | 0.703641 |
3874315fb888703e6ba8ffcd0a771299cdaa1094 | 310 | py | Python | pensamiento-probabilistico/sample.py | cristian-rincon/escuela-datascience | a9c805ccd30d66bfb4d17f652e9ce2f20a8978fb | [
"MIT"
] | null | null | null | pensamiento-probabilistico/sample.py | cristian-rincon/escuela-datascience | a9c805ccd30d66bfb4d17f652e9ce2f20a8978fb | [
"MIT"
] | 32 | 2021-02-12T02:48:30.000Z | 2022-03-13T01:56:19.000Z | pensamiento-probabilistico/sample.py | cristian-rincon/escuela-datascience | a9c805ccd30d66bfb4d17f652e9ce2f20a8978fb | [
"MIT"
] | null | null | null | def find_it(seq):
counter = [{x: seq.count(x)} for x in set(seq)]
for n in counter:
for i, j in n.items():
if j % 2 != 0:
return i
if __name__ == "__main__":
test_list = [20, 1, -1, 2, -2, 3, 3, 5, 5, 1, 2, 4, 20, 4, -1, -2, 5]
# print(find_it(test_list))
| 25.833333 | 73 | 0.474194 |
3874344037730fa336beee56748ec78e01ad3da2 | 6,137 | py | Python | dayliopy/clean_csv.py | anthx/daylio-csv-parser | e0f7e4f489b8b3177990743fade5e1b194dd35a9 | [
"MIT"
] | null | null | null | dayliopy/clean_csv.py | anthx/daylio-csv-parser | e0f7e4f489b8b3177990743fade5e1b194dd35a9 | [
"MIT"
] | null | null | null | dayliopy/clean_csv.py | anthx/daylio-csv-parser | e0f7e4f489b8b3177990743fade5e1b194dd35a9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Clean CSV application file.
Read in input CSV, clean it and write out to a new CSV.
"""
import codecs
import csv
import datetime
from .lib.config import AppConf
conf = AppConf()
DT_12H = r"%Y-%m-%d %I:%M %p"
DT_24H = r"%Y-%m-%d %H:%M"
CSV_OUT_FIELDS = [
"timestamp",
"datetime",
... | 28.281106 | 86 | 0.657813 |
387447ba6519e6bd4366d795910513f8627568f3 | 1,309 | py | Python | paste/renderers.py | setsuna-/pasteque | ca38d1aa17aa768bb8112fe813b231d28a25a166 | [
"MIT"
] | null | null | null | paste/renderers.py | setsuna-/pasteque | ca38d1aa17aa768bb8112fe813b231d28a25a166 | [
"MIT"
] | null | null | null | paste/renderers.py | setsuna-/pasteque | ca38d1aa17aa768bb8112fe813b231d28a25a166 | [
"MIT"
] | 2 | 2018-05-06T22:17:09.000Z | 2019-09-17T15:13:28.000Z | from django.template import RequestContext
from django.template.loader import get_template
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import get_formatter_by_name
from paste.tools import cache_exists, cache_fetch, cache_store
def render_pygments(request, past... | 35.378378 | 72 | 0.734912 |
38747db650c0d76bdb893cd7a11747ff39f28fb5 | 12,055 | py | Python | nautobot_device_onboarding/netdev_keeper.py | jathanism/nautobot-plugin-device-onboarding | 39427f4c0fbdf46cfcbfc853590981287d550e66 | [
"Apache-2.0"
] | null | null | null | nautobot_device_onboarding/netdev_keeper.py | jathanism/nautobot-plugin-device-onboarding | 39427f4c0fbdf46cfcbfc853590981287d550e66 | [
"Apache-2.0"
] | null | null | null | nautobot_device_onboarding/netdev_keeper.py | jathanism/nautobot-plugin-device-onboarding | 39427f4c0fbdf46cfcbfc853590981287d550e66 | [
"Apache-2.0"
] | null | null | null | """NetDev Keeper.
(c) 2020-2021 Network To Code
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 writing... | 39.012945 | 176 | 0.654666 |
3874966628e52d0b653adc556466e05834d6f97e | 1,058 | py | Python | tests/test_preprocessing.py | RUB-SysSec/WaveFake | d52d51b9ccdb0cec3f484e84b228791f06b955be | [
"MIT"
] | 20 | 2021-11-04T04:29:04.000Z | 2022-03-26T11:36:50.000Z | tests/test_preprocessing.py | RUB-SysSec/WaveFake | d52d51b9ccdb0cec3f484e84b228791f06b955be | [
"MIT"
] | null | null | null | tests/test_preprocessing.py | RUB-SysSec/WaveFake | d52d51b9ccdb0cec3f484e84b228791f06b955be | [
"MIT"
] | 3 | 2021-11-06T13:22:40.000Z | 2022-01-30T18:07:20.000Z | import unittest
import torch
from dfadetect.datasets import TransformDataset, double_delta
from dfadetect.lfcc import LFCC
from tests.utils import load_real
class PreprocessingTest(unittest.TestCase):
def test_transformation_dataset(self):
lfcc = TransformDataset(dataset=load_real(),
... | 31.117647 | 76 | 0.647448 |
38749834186758ff12de76aeb8145156a41844b2 | 93 | py | Python | djangopreviewcard/mediasourcetype.py | hnjm/preview-card | 46f5ef7422aac896b3a98e8b07f6eee8a2ba8991 | [
"MIT"
] | 1 | 2019-09-19T03:36:44.000Z | 2019-09-19T03:36:44.000Z | djangopreviewcard/mediasourcetype.py | hnjm/preview-card | 46f5ef7422aac896b3a98e8b07f6eee8a2ba8991 | [
"MIT"
] | null | null | null | djangopreviewcard/mediasourcetype.py | hnjm/preview-card | 46f5ef7422aac896b3a98e8b07f6eee8a2ba8991 | [
"MIT"
] | null | null | null | import enum
class MediaSourceType(enum.Enum):
NONE = 0
ARTICLE = 1
YOUTUBE = 2
| 11.625 | 33 | 0.634409 |
3874deff8d66767b854f359f38169ae8d046d81e | 2,648 | py | Python | ez_trans/compress.py | liuyuns/ezsync | 781b561f4416f64ba34c29b569cd07057fde1eb7 | [
"Apache-2.0"
] | 3 | 2015-12-14T01:38:00.000Z | 2018-10-08T03:54:25.000Z | ez_trans/compress.py | liuyuns/ezsync | 781b561f4416f64ba34c29b569cd07057fde1eb7 | [
"Apache-2.0"
] | null | null | null | ez_trans/compress.py | liuyuns/ezsync | 781b561f4416f64ba34c29b569cd07057fde1eb7 | [
"Apache-2.0"
] | null | null | null | import os, sys, subprocess, traceback, glob
from ez_trans import logger
class compresser(object):
log = logger.SimpleLogger()
from ez_trans.config import config
def __init__(self, config, log=None):
self._config = config
if log:
self.log = log
pass
def compress(se... | 29.098901 | 103 | 0.579305 |
3874fa19d5ab907a95861fea830f3a024cd3d270 | 9,279 | py | Python | ch11/code/web_analysis/api/views.py | MatthiasWunsch/python-geospatial-analysis-cookbook | 88946ca6242283c9110488c64ac44057a53e2831 | [
"MIT"
] | 98 | 2015-06-14T08:42:21.000Z | 2022-03-09T16:48:43.000Z | ch11/code/web_analysis/api/views.py | MatthiasWunsch/python-geospatial-analysis-cookbook | 88946ca6242283c9110488c64ac44057a53e2831 | [
"MIT"
] | 6 | 2015-12-23T09:56:33.000Z | 2022-02-13T20:06:05.000Z | ch11/code/web_analysis/api/views.py | MatthiasWunsch/python-geospatial-analysis-cookbook | 88946ca6242283c9110488c64ac44057a53e2831 | [
"MIT"
] | 43 | 2015-08-24T13:13:32.000Z | 2022-03-14T20:55:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import traceback
from django.http import HttpResponseNotFound
from rest_framework.decorators import api_view
from rest_framework.response import Response
from geojson import loads, Feature, FeatureCollection
import logging
logger = logging.getLogger(__name__)
... | 33.498195 | 109 | 0.63024 |
3875062fb49d94c553ec796bb8e3115e9da3778a | 4,576 | py | Python | superset/views/datasource.py | visshaljagtap/incubator-superset | c9c18011f3cbee144ef8f76568449a4b83325773 | [
"Apache-2.0"
] | 11 | 2018-01-16T16:52:12.000Z | 2020-06-12T12:17:03.000Z | superset/views/datasource.py | visshaljagtap/incubator-superset | c9c18011f3cbee144ef8f76568449a4b83325773 | [
"Apache-2.0"
] | 67 | 2017-11-06T21:31:14.000Z | 2020-11-19T03:52:18.000Z | superset/views/datasource.py | visshaljagtap/incubator-superset | c9c18011f3cbee144ef8f76568449a4b83325773 | [
"Apache-2.0"
] | 4 | 2018-01-31T00:11:50.000Z | 2019-12-26T04:11:52.000Z | # 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... | 38.779661 | 88 | 0.660621 |
38753c3bfc02eb85e386ffd3afb738605556beb0 | 558 | py | Python | natural_selection/__init__.py | Zipfian-Science/natural-selection | 5bf04142a73f39a83e86ad0eb53ba0fecb365864 | [
"Apache-2.0"
] | null | null | null | natural_selection/__init__.py | Zipfian-Science/natural-selection | 5bf04142a73f39a83e86ad0eb53ba0fecb365864 | [
"Apache-2.0"
] | 1 | 2021-02-26T10:10:43.000Z | 2021-02-26T10:10:43.000Z | natural_selection/__init__.py | Zipfian-Science/natural-selection | 5bf04142a73f39a83e86ad0eb53ba0fecb365864 | [
"Apache-2.0"
] | null | null | null | __version__ = '0.2.17'
def get_random_string(length : int = 8, include_numeric=False) -> str:
"""
Generate a random string with a given length. Used mainly for password generation.
Args:
length (int): Length to generate.
include_numeric (bool): Include numbers?
Returns:
str: Ra... | 29.368421 | 86 | 0.66129 |
38754240717d43db19c9416192ef675d5ea6d6ab | 37,456 | py | Python | Helpers/86Scratch/scratch_command_handlers.py | Sayter99/86Scratch | b17bad3a9eccbf5d46e2a90470889c0eb4d5078a | [
"MIT"
] | null | null | null | Helpers/86Scratch/scratch_command_handlers.py | Sayter99/86Scratch | b17bad3a9eccbf5d46e2a90470889c0eb4d5078a | [
"MIT"
] | null | null | null | Helpers/86Scratch/scratch_command_handlers.py | Sayter99/86Scratch | b17bad3a9eccbf5d46e2a90470889c0eb4d5078a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 25 13:17:15 2013
@author: Alan Yorinks
Copyright (c) 2013-14 Alan Yorinks All right reserved.
@co-author: Sjoerd Dirk Meijer, fromScratchEd.nl (language support)
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser ... | 44.274232 | 118 | 0.604816 |
38754cc1058b73c252a6fec7e7853b01a6f39f83 | 4,103 | py | Python | kmip/core/config_helper.py | csapuntz/PyKMIP | 4b1373b5f2e9e37220b9c3bed21d70f300a2860b | [
"Apache-2.0"
] | null | null | null | kmip/core/config_helper.py | csapuntz/PyKMIP | 4b1373b5f2e9e37220b9c3bed21d70f300a2860b | [
"Apache-2.0"
] | null | null | null | kmip/core/config_helper.py | csapuntz/PyKMIP | 4b1373b5f2e9e37220b9c3bed21d70f300a2860b | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2014 The Johns Hopkins University/Applied Physics Laboratory
# 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/LICEN... | 41.03 | 79 | 0.631733 |
3875811d20c1f8256679d34f5d9a4f079dc5dd65 | 3,129 | py | Python | fpl/h2h_league.py | taoprajjwal/fpl | aa3d762429f59543aac36b53723746049dc8b210 | [
"MIT"
] | null | null | null | fpl/h2h_league.py | taoprajjwal/fpl | aa3d762429f59543aac36b53723746049dc8b210 | [
"MIT"
] | null | null | null | fpl/h2h_league.py | taoprajjwal/fpl | aa3d762429f59543aac36b53723746049dc8b210 | [
"MIT"
] | null | null | null | import itertools
import requests
API_BASE_URL = "https://fantasy.premierleague.com/drf/"
class H2HLeague(object):
"""
A class representing a h2h league in the Fantasy Premier League.
"""
def __init__(self, league_id):
self.id = league_id
self._information = self._get_information()
... | 32.59375 | 79 | 0.622563 |
3875909236ca6e945b29b8a76000b9ea7e438c04 | 6,318 | py | Python | python/app/plugins/http/Apache Flink/Upload_Jar.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 351 | 2020-02-26T05:23:26.000Z | 2022-03-26T12:39:19.000Z | python/app/plugins/http/Apache Flink/Upload_Jar.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 15 | 2020-03-26T07:31:49.000Z | 2022-03-09T02:12:17.000Z | python/app/plugins/http/Apache Flink/Upload_Jar.py | taomujian/linbing | fe772a58f41e3b046b51a866bdb7e4655abaf51a | [
"MIT"
] | 99 | 2020-02-28T07:30:46.000Z | 2022-03-16T16:41:09.000Z | #!/usr/bin/env python3
import re
import time
import json
import base64
from app.lib.utils.request import request
from app.lib.utils.common import get_capta, get_useragent
class Upload_Jar_BaseVerify:
def __init__(self, url):
self.info = {
'name': '任意Jar包上传导致远程代码执行漏洞',
'description'... | 39.987342 | 1,915 | 0.66081 |
3875b94ecaebf9d578a20269b1aa5cb4b7189661 | 2,772 | py | Python | platformio/builder/tools/piomaxlen.py | MitchBradley/platformio-core | c94b018afccb1c00f83056bca322f11303a31740 | [
"Apache-2.0"
] | null | null | null | platformio/builder/tools/piomaxlen.py | MitchBradley/platformio-core | c94b018afccb1c00f83056bca322f11303a31740 | [
"Apache-2.0"
] | null | null | null | platformio/builder/tools/piomaxlen.py | MitchBradley/platformio-core | c94b018afccb1c00f83056bca322f11303a31740 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2014-present PlatformIO <contact@platformio.org>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 29.489362 | 76 | 0.650072 |
3875c23b4ce0c5a5c28e0a7bcd21c9a9fc2dc8bf | 3,820 | py | Python | homeassistant/bootstrap.py | loghound/home-assistant | 48089b01ab38848b07517a4d3e847cc0f79cf435 | [
"MIT"
] | 1 | 2017-03-01T10:57:20.000Z | 2017-03-01T10:57:20.000Z | homeassistant/bootstrap.py | loghound/home-assistant | 48089b01ab38848b07517a4d3e847cc0f79cf435 | [
"MIT"
] | null | null | null | homeassistant/bootstrap.py | loghound/home-assistant | 48089b01ab38848b07517a4d3e847cc0f79cf435 | [
"MIT"
] | null | null | null | """
homeassistant.bootstrap
~~~~~~~~~~~~~~~~~~~~~~~
Provides methods to bootstrap a home assistant instance.
Each method will return a tuple (bus, statemachine).
After bootstrapping you can add your own components or
start by calling homeassistant.start_home_assistant(bus)
"""
import os
import configparser
import lo... | 33.217391 | 78 | 0.662827 |
3875ed05e4261b42f24a835aea4e37681fd1bc7e | 3,432 | py | Python | ccoin/exceptions.py | Rustem/toychain | dafc445e66af8a18c4b007b20b15f9612b825529 | [
"MIT"
] | 3 | 2018-05-01T09:13:00.000Z | 2018-06-26T03:01:07.000Z | ccoin/exceptions.py | Rustem/toychain | dafc445e66af8a18c4b007b20b15f9612b825529 | [
"MIT"
] | null | null | null | ccoin/exceptions.py | Rustem/toychain | dafc445e66af8a18c4b007b20b15f9612b825529 | [
"MIT"
] | null | null | null | class BaseException(Exception):
pass
class NodeCannotBeStartedException(Exception):
def __init__(self, nodeid):
self.node_id = nodeid
class AccountDoesNotExist(NodeCannotBeStartedException):
def __str__(self):
return "Account does not exists for the user with id=%s." % self.node_id
c... | 24.869565 | 98 | 0.71824 |
3875eecad6beaecd9644a28d3f51cf56c71d81d0 | 781 | py | Python | python/lib/dp/lis.py | KATO-Hiro/atcoder-1 | c2cbfcfd5c3d46ac9810ba330a37d437aa2839c2 | [
"MIT"
] | null | null | null | python/lib/dp/lis.py | KATO-Hiro/atcoder-1 | c2cbfcfd5c3d46ac9810ba330a37d437aa2839c2 | [
"MIT"
] | null | null | null | python/lib/dp/lis.py | KATO-Hiro/atcoder-1 | c2cbfcfd5c3d46ac9810ba330a37d437aa2839c2 | [
"MIT"
] | null | null | null | import sys
from bisect import bisect_left
input = sys.stdin.readline
def binary_search(L, a, high):
ng = -1
ok = high
while ok - ng > 1:
mid = (ok + ng) // 2
if a <= L[mid]:
ok = mid
else:
ng = mid
return ok
def main():
N = int(input())
A = [0... | 13.946429 | 66 | 0.464789 |
3875fd6f71f70ee5b6ff8ad81b42b5516017ee1e | 229 | py | Python | project/oauth/urls.py | yumike/djangolint | 249271739da6fb630587d83629ced5de10856f42 | [
"0BSD"
] | 4 | 2015-06-22T13:30:00.000Z | 2020-03-19T07:17:12.000Z | project/oauth/urls.py | netoxico/djangolint | 249271739da6fb630587d83629ced5de10856f42 | [
"0BSD"
] | 3 | 2020-02-12T01:17:37.000Z | 2021-06-10T20:37:44.000Z | project/oauth/urls.py | netoxico/djangolint | 249271739da6fb630587d83629ced5de10856f42 | [
"0BSD"
] | 1 | 2015-09-18T10:45:45.000Z | 2015-09-18T10:45:45.000Z | from django.conf.urls.defaults import url, patterns
from .views import callback, logout
urlpatterns = patterns('',
url(r'^callback/$', callback, name='oauth_callback'),
url(r'^logout/$', logout, name='oauth_logout'),
)
| 25.444444 | 57 | 0.703057 |
3875fdd51584d2fa5a8c340762653eefb4d3b400 | 2,886 | py | Python | azkaban_cli/tests/test_azkaban/test_unschedule.py | destag/azkaban-cli | 845e23c2858684024fd0fd47c2201c1ee6f69952 | [
"MIT"
] | null | null | null | azkaban_cli/tests/test_azkaban/test_unschedule.py | destag/azkaban-cli | 845e23c2858684024fd0fd47c2201c1ee6f69952 | [
"MIT"
] | null | null | null | azkaban_cli/tests/test_azkaban/test_unschedule.py | destag/azkaban-cli | 845e23c2858684024fd0fd47c2201c1ee6f69952 | [
"MIT"
] | null | null | null | import os
from unittest import TestCase
from unittest.mock import patch, ANY
import responses
import azkaban_cli.azkaban
from azkaban_cli.exceptions import UnscheduleError, SessionError
class AzkabanUnscheduleTest(TestCase):
def setUp(self):
"""
Creates an Azkaban instance and set a logged sessi... | 30.702128 | 136 | 0.635482 |
38761d532334056a9805f3d3ca70dfdb93a9a034 | 6,587 | py | Python | topo/sheet/slissom.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 40 | 2015-02-05T14:53:10.000Z | 2020-10-12T06:26:23.000Z | topo/sheet/slissom.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 95 | 2015-01-01T16:14:20.000Z | 2022-02-11T22:50:27.000Z | topo/sheet/slissom.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 22 | 2015-05-03T10:24:17.000Z | 2019-11-15T06:34:31.000Z | """
The SLISSOM class.
"""
from math import exp
import numpy as np
import param
from topo.command.pylabplot import vectorplot, matrixplot
from topo.sheet import SettlingCFSheet
from topo.transferfn import PiecewiseLinear
activity_type = np.float32
class SLISSOM(SettlingCFSheet):
"""
A Sheet class imple... | 33.953608 | 113 | 0.635191 |
387628cb55eac483e6e4d4cf6f0bc16db94980a6 | 1,798 | py | Python | esky/tests/eskytester/script3.py | omnivore/esky | 39e77deacf3e48d4d5d7a46701d9ef0f5593820d | [
"BSD-3-Clause"
] | 1 | 2019-07-11T14:50:07.000Z | 2019-07-11T14:50:07.000Z | esky/tests/eskytester/script3.py | omnivore/esky | 39e77deacf3e48d4d5d7a46701d9ef0f5593820d | [
"BSD-3-Clause"
] | null | null | null | esky/tests/eskytester/script3.py | omnivore/esky | 39e77deacf3e48d4d5d7a46701d9ef0f5593820d | [
"BSD-3-Clause"
] | null | null | null |
# Third entry point for testing an esky install.
import os
import sys
import time
import esky
import esky.util
import esky.tests
platform = esky.util.get_platform()
# Test that the frozen app is actually working
import eskytester
eskytester.yes_i_am_working()
eskytester.yes_my_deps_are_working()
eskytester.yes_my... | 32.107143 | 86 | 0.730812 |
38763255db50067a3b32f5686e58e6ad0611b59e | 982 | py | Python | pylot/debug/depth_camera_visualizer.py | victorsun123/pylot | 43df8de4b4ed562370a5512093f6d9b486699567 | [
"Apache-2.0"
] | null | null | null | pylot/debug/depth_camera_visualizer.py | victorsun123/pylot | 43df8de4b4ed562370a5512093f6d9b486699567 | [
"Apache-2.0"
] | null | null | null | pylot/debug/depth_camera_visualizer.py | victorsun123/pylot | 43df8de4b4ed562370a5512093f6d9b486699567 | [
"Apache-2.0"
] | null | null | null | import cv2
from erdos.op import Op
from erdos.utils import setup_logging
from pylot.utils import add_timestamp, is_depth_camera_stream
class DepthCameraVisualizer(Op):
""" Subscribes to depth camera streams, and visualizes frames."""
def __init__(self, name, flags, log_file_name=None):
super(DepthCa... | 30.6875 | 72 | 0.702648 |
3876604fe869fb72f8157794f9d5200c65ced4f5 | 3,980 | py | Python | alipay/aop/api/request/AlipayIserviceCcmSwTreePublishRequest.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/request/AlipayIserviceCcmSwTreePublishRequest.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/request/AlipayIserviceCcmSwTreePublishRequest.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.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayIserviceCcmSwTreePublishModel import AlipayIserviceCcmSwTreePublishModel
class AlipayIserviceCcmSwTreePublishRequest(object):
... | 27.448276 | 148 | 0.645226 |
38766208bae509c71affef5f8f4bde7b15023ec0 | 491 | py | Python | office365/graph/directory/groupProfile.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | office365/graph/directory/groupProfile.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | office365/graph/directory/groupProfile.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | from office365.runtime.client_value_object import ClientValueObject
class GroupProfile(ClientValueObject):
def __init__(self, name):
"""
:param str name: Group name
"""
super(GroupProfile, self).__init__()
self.mailNickname = name
self.displayName = name
se... | 25.842105 | 67 | 0.613035 |
38766583ba93a564a660c74cae87bca34a33a30b | 609 | py | Python | tests/structures/test_keypoints.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | tests/structures/test_keypoints.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | tests/structures/test_keypoints.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron.structures.keypoints import Keypoints
class TestKeypoints(unittest.TestCase):
def test_cat_keypoints(self):
keypoints1 = Keypoints(torch.rand(2, 21, 3))
keypoints2 = Keypoints(torch.rand(4, 21, 3))
... | 30.45 | 88 | 0.70936 |
387671872964bdaa6b9f6659a7b3658040a611c7 | 10,848 | py | Python | app/utils/constants.py | brotskydotcom/public-services.py | 5cb0b57cb8f1c9d5b3e907cf27a6a560cbfe0020 | [
"MIT"
] | null | null | null | app/utils/constants.py | brotskydotcom/public-services.py | 5cb0b57cb8f1c9d5b3e907cf27a6a560cbfe0020 | [
"MIT"
] | 46 | 2020-07-19T05:02:36.000Z | 2020-12-13T18:32:47.000Z | app/utils/constants.py | brotskydotcom/public-services.py | 5cb0b57cb8f1c9d5b3e907cf27a6a560cbfe0020 | [
"MIT"
] | null | null | null | # MIT License
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublice... | 39.162455 | 84 | 0.630254 |
3876730f3c74dbb435ab2e809471ac6e56348d68 | 2,807 | py | Python | aviation_weather/components/weathergroup.py | StephenOrJames/aviation-weather | 35594cc1ba448acdea9123380cc47ac96d2107c8 | [
"MIT"
] | 2 | 2017-03-14T23:28:28.000Z | 2020-01-10T23:04:30.000Z | aviation_weather/components/weathergroup.py | aviationweather/aviation_weather | 35594cc1ba448acdea9123380cc47ac96d2107c8 | [
"MIT"
] | null | null | null | aviation_weather/components/weathergroup.py | aviationweather/aviation_weather | 35594cc1ba448acdea9123380cc47ac96d2107c8 | [
"MIT"
] | null | null | null | import re
from aviation_weather.components import Component
from aviation_weather.exceptions import WeatherGroupDecodeError
class WeatherGroup(Component):
# TODO: see FMH-1 12.6.8 for specific formatting instructions
INTENSITIES = {
"-": "light",
"": "moderate",
"+": "heavy",
... | 29.861702 | 115 | 0.496972 |
38767b1495b488fdc1c982cd537e73d3a7ea7e74 | 348 | py | Python | aurora/bag_transfer/lib/view_helpers.py | DLynch-Technology/aurora | 92f4b61ae0cdaf6f7c5a35bbdfb68e5ee91f8c96 | [
"MIT"
] | 19 | 2018-05-09T21:00:24.000Z | 2021-03-11T23:09:03.000Z | aurora/bag_transfer/lib/view_helpers.py | DLynch-Technology/aurora | 92f4b61ae0cdaf6f7c5a35bbdfb68e5ee91f8c96 | [
"MIT"
] | 339 | 2017-10-12T16:05:22.000Z | 2022-02-23T20:48:41.000Z | aurora/bag_transfer/lib/view_helpers.py | DLynch-Technology/aurora | 92f4b61ae0cdaf6f7c5a35bbdfb68e5ee91f8c96 | [
"MIT"
] | 3 | 2019-11-05T16:30:07.000Z | 2021-08-16T15:50:34.000Z | def file_size(num):
for unit in ["B", "KB", "MB", "GB"]:
if abs(num) < 1024.0:
return "%3.1f %s" % (num, unit)
num /= 1024.0
def label_class(status):
label_class = "green"
if status in [10, 20]:
label_class = "yellow"
elif status in [30, 60]:
label_class = "... | 23.2 | 43 | 0.525862 |
387687dcd0cef5448b9f050dfaca86b4c0abac31 | 4,607 | py | Python | tensorflow_probability/python/distributions/exponential.py | timudk/probability | 8bdbf1c0b0f801edaf342f4ffc9caf1cfd6f1103 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/distributions/exponential.py | timudk/probability | 8bdbf1c0b0f801edaf342f4ffc9caf1cfd6f1103 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/distributions/exponential.py | timudk/probability | 8bdbf1c0b0f801edaf342f4ffc9caf1cfd6f1103 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... | 33.384058 | 79 | 0.67723 |
3876883aec362163c843fceb7cc78bc6173820e2 | 4,765 | py | Python | daoliproxy/openstack/common/loopingcall.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | daoliproxy/openstack/common/loopingcall.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | daoliproxy/openstack/common/loopingcall.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# Copyright 2011 Justin Santa Barbara
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance wi... | 32.195946 | 79 | 0.581742 |
38769db4b813f99b3274af1583e2f8144bfaecef | 2,340 | py | Python | tests/test_il_labor.py | danielahuang/city-scrapers | 711d1995f59100793e771068a6f5d9149e773412 | [
"MIT"
] | null | null | null | tests/test_il_labor.py | danielahuang/city-scrapers | 711d1995f59100793e771068a6f5d9149e773412 | [
"MIT"
] | null | null | null | tests/test_il_labor.py | danielahuang/city-scrapers | 711d1995f59100793e771068a6f5d9149e773412 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import date, time
import pytest
from tests.utils import file_response
from city_scrapers.constants import BOARD, PASSED
from city_scrapers.spiders.il_labor import IlLaborSpider
test_response = file_response(
'files/il_labor.html', url='https://www.illinois.gov/ilrb/meetings/... | 28.536585 | 280 | 0.697009 |
38769de4a6ee6df86d777b96cf4eda8cf6206479 | 4,307 | py | Python | driver_station/src/driver_station/widgets/joystick_indicator.py | uwreact/frc_control | 0efd7f3da8f42c3d8b8e7180631ec4a749b32555 | [
"BSD-3-Clause"
] | 9 | 2018-11-26T20:12:47.000Z | 2020-03-08T03:30:03.000Z | driver_station/src/driver_station/widgets/joystick_indicator.py | uwreact/frc_control | 0efd7f3da8f42c3d8b8e7180631ec4a749b32555 | [
"BSD-3-Clause"
] | 49 | 2018-10-18T13:44:59.000Z | 2019-08-01T15:18:42.000Z | driver_station/src/driver_station/widgets/joystick_indicator.py | uwreact/frc_control | 0efd7f3da8f42c3d8b8e7180631ec4a749b32555 | [
"BSD-3-Clause"
] | 3 | 2018-10-18T17:35:54.000Z | 2019-02-10T19:43:55.000Z | ##############################################################################
# Copyright (C) 2019, UW REACT
#
# 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 co... | 39.513761 | 78 | 0.657534 |
3876a83f7988f0efa4b9332d39d665bc7fdd9a35 | 1,631 | py | Python | python/ray/rllib/setup-rllib-dev.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 2 | 2019-10-08T13:31:08.000Z | 2019-10-22T18:34:52.000Z | python/ray/rllib/setup-rllib-dev.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 1 | 2018-12-26T01:09:50.000Z | 2018-12-26T01:09:50.000Z | python/ray/rllib/setup-rllib-dev.py | cumttang/ray | eb1e5fa2cf26233701ccbda3eb8a301ecd418d8c | [
"Apache-2.0"
] | 6 | 2019-03-12T05:37:35.000Z | 2020-03-09T12:25:17.000Z | #!/usr/bin/env python
"""This script allows you to develop RLlib without needing to compile Ray."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import click
import os
import subprocess
import ray
if __name__ == "__main__":
rllib_home = os.path.abs... | 41.820513 | 78 | 0.665849 |
3876b4eabba6ab24515b748606a6f6e41fb6e937 | 4,626 | py | Python | venv/lib/python3.8/site-packages/dateparser/data/date_translation_data/id.py | yuta-komura/vishnu | 67173b674d5f4f3be189474103612447ef69ab44 | [
"MIT"
] | 1 | 2021-11-17T04:55:14.000Z | 2021-11-17T04:55:14.000Z | dateparser/data/date_translation_data/id.py | cool-RR/dateparser | c38336df521cc57d947dc2c9111539a72f801652 | [
"BSD-3-Clause"
] | null | null | null | dateparser/data/date_translation_data/id.py | cool-RR/dateparser | c38336df521cc57d947dc2c9111539a72f801652 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
info = {
"name": "id",
"date_order": "DMY",
"january": [
"januari",
"jan"
],
"february": [
"februari",
"feb"
],
"march": [
"maret",
"mar"
],
"april": [
"april",
"apr"
],
"may": [
"... | 17.456604 | 38 | 0.266105 |
3876bc964219914796316f7ab1722ec248c2c203 | 1,403 | py | Python | tensorflow/python/ops/sdca_ops.py | gnoses/TensorFlow | 63a21e054007d86269ed1ad0145ebce04ee57a81 | [
"Apache-2.0"
] | 65 | 2016-09-26T01:30:40.000Z | 2021-08-11T17:00:41.000Z | tensorflow/python/ops/sdca_ops.py | gnoses/TensorFlow | 63a21e054007d86269ed1ad0145ebce04ee57a81 | [
"Apache-2.0"
] | 5 | 2017-02-21T08:37:52.000Z | 2017-03-29T05:46:05.000Z | tensorflow/python/ops/sdca_ops.py | gnoses/TensorFlow | 63a21e054007d86269ed1ad0145ebce04ee57a81 | [
"Apache-2.0"
] | 11 | 2017-09-10T16:22:21.000Z | 2021-08-09T09:24:50.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed unde_sdca_opsr 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 b... | 31.177778 | 80 | 0.750535 |
3876f53656f45bd76e5b6678a2374688254a8c4d | 4,672 | py | Python | scripts/mgdb2csv.py | CGATOxford/proj029 | f0a8ea63b4f086e673aa3bf8b7d3b9749261b525 | [
"BSD-3-Clause"
] | 3 | 2016-04-04T22:54:14.000Z | 2017-04-01T09:37:54.000Z | scripts/mgdb2csv.py | CGATOxford/proj029 | f0a8ea63b4f086e673aa3bf8b7d3b9749261b525 | [
"BSD-3-Clause"
] | null | null | null | scripts/mgdb2csv.py | CGATOxford/proj029 | f0a8ea63b4f086e673aa3bf8b7d3b9749261b525 | [
"BSD-3-Clause"
] | null | null | null | '''
mgdb2csv.py
============
:Author: Nick Ilott
:Release: $Id$
:Date: |today|
:Tags: Python
Purpose
-------
mgdg stands for metagenome database. This script therefore outputs
data from a central database created by pipeline_metagenomeassembly.py
of vatious kinds.
Usage
-----
Example::
python mgdb2csv.py -d <d... | 33.371429 | 113 | 0.58369 |
3876fafec5c923825ddcacf5366082a070711b9f | 24,263 | py | Python | grit/format/policy_templates/writers/doc_writer.py | MIPS/external-chromium_org-tools-grit | 646f47f4f3b103f878faabfa7f8a4cd2860822a5 | [
"BSD-2-Clause"
] | 1 | 2017-08-06T01:12:23.000Z | 2017-08-06T01:12:23.000Z | tools/grit/grit/format/policy_templates/writers/doc_writer.py | ufologist/qx | a2d64a337ecb2cd5752bd848afb2315c93e0fabe | [
"MIT"
] | null | null | null | tools/grit/grit/format/policy_templates/writers/doc_writer.py | ufologist/qx | a2d64a337ecb2cd5752bd848afb2315c93e0fabe | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from xml.dom import minidom
from grit import lazy_re
from grit.format.policy_templates.writers import xml_formatted_writer
def G... | 37.042748 | 79 | 0.631909 |
3876fc479af3c3e9684d339194f8042b2a9ffbea | 607 | py | Python | core/migrations/0035_facettype.py | kingsdigitallab/egomedia-django | 7347fc96ca52ac195b388e43204d0a0faab0c88f | [
"MIT"
] | null | null | null | core/migrations/0035_facettype.py | kingsdigitallab/egomedia-django | 7347fc96ca52ac195b388e43204d0a0faab0c88f | [
"MIT"
] | 10 | 2021-04-06T18:17:44.000Z | 2022-03-01T12:21:40.000Z | core/migrations/0035_facettype.py | kingsdigitallab/egomedia-django | 7347fc96ca52ac195b388e43204d0a0faab0c88f | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2019-08-07 10:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0034_projectpage_full_title'),
]
operations = [
migrations.CreateModel(
name='FacetType',
fields=[
... | 25.291667 | 114 | 0.546952 |
387714967ca5b518f1d7b7da887f434a7d3a654c | 1,855 | py | Python | wordlist/tests/test_request.py | robsonpiere/word-list | 4bf5be40042daa5d1b7d59a2c1da67af9349ec9e | [
"MIT"
] | null | null | null | wordlist/tests/test_request.py | robsonpiere/word-list | 4bf5be40042daa5d1b7d59a2c1da67af9349ec9e | [
"MIT"
] | 3 | 2020-10-25T12:26:57.000Z | 2020-10-26T00:04:53.000Z | wordlist/tests/test_request.py | robsonpiere/word-list | 4bf5be40042daa5d1b7d59a2c1da67af9349ec9e | [
"MIT"
] | null | null | null | import unittest
from json import dumps, loads
from wordlist.app import create_app
from flask import Response
class CompleteRequestTestCase(unittest.TestCase):
body_example = {
"textos": [
"Atirei o pau no gato",
"Mas o gato não morreu",
"Dona Chica admirou-se",
... | 37.857143 | 113 | 0.651213 |
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