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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c3eea8396057943c4ed0c68011b18c7115b86f1 | 8,057 | py | Python | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | import cv2
import numpy as np
import os
from skimage import io
import requests
import random
import numpy as np # linear algebra
import pandas as pd # data processing
from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt
import urllib3
import json
import cv2
import matplotlib.pyplot as plt
import ... | 42.856383 | 185 | 0.616358 | import cv2
import numpy as np
import os
from skimage import io
import requests
import random
import numpy as np
import pandas as pd
from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt
import urllib3
import json
import cv2
import matplotlib.pyplot as plt
import matplotlib.patches as patches
fro... | true | true |
1c3eeb41decde1233b668ef798b96a68f902c70a | 74 | py | Python | pyjsviz/lib/python3.4/weakref.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | null | null | null | pyjsviz/lib/python3.4/weakref.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | 15 | 2017-03-21T00:46:04.000Z | 2017-03-21T00:53:13.000Z | pyjsviz/lib/python3.4/weakref.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | null | null | null | /Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/weakref.py | 74 | 74 | 0.837838 | /Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/weakref.py | false | true |
1c3eec849a00dba654771c573292ef1c74284641 | 796 | py | Python | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 3 | 2021-05-06T18:29:09.000Z | 2022-01-13T03:23:25.000Z | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 1 | 2022-02-02T07:49:59.000Z | 2022-02-16T08:16:20.000Z | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 2 | 2021-05-13T02:20:42.000Z | 2022-03-30T04:05:43.000Z | import torch
import torch.nn as nn
from celeba.networks.FeatureExtractorImg import FeatureExtractorImg
class ClfImg(nn.Module):
def __init__(self, flags):
super(ClfImg, self).__init__();
self.feature_extractor = FeatureExtractorImg(flags, a=2.0, b=0.3);
self.dropout = nn.Dropout(p=0.5, in... | 30.615385 | 108 | 0.639447 | import torch
import torch.nn as nn
from celeba.networks.FeatureExtractorImg import FeatureExtractorImg
class ClfImg(nn.Module):
def __init__(self, flags):
super(ClfImg, self).__init__();
self.feature_extractor = FeatureExtractorImg(flags, a=2.0, b=0.3);
self.dropout = nn.Dropout(p=0.5, in... | true | true |
1c3eef416f2f4b2e50f755eea0af040fb2ac3e74 | 305 | py | Python | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
import base_filters
COPY_GOOGLE_DOC_KEY = '1s9AJPa3Tyim5sl5xA1U0Rn3imyJ8Ycy0pjM9zNYje2A'
USE_ASSETS = False
# Use these variables to override the default cache timeouts for this graphic
# DEFAULT_MAX_AGE = 20
# ASSETS_MAX_AGE = 300
JINJA_FILTER_FUNCTIONS = base_filters.FILTERS
| 21.785714 | 77 | 0.819672 |
import base_filters
COPY_GOOGLE_DOC_KEY = '1s9AJPa3Tyim5sl5xA1U0Rn3imyJ8Ycy0pjM9zNYje2A'
USE_ASSETS = False
JINJA_FILTER_FUNCTIONS = base_filters.FILTERS
| true | true |
1c3eef61636dfc6d89773110c3f2c0042d21da47 | 5,720 | py | Python | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 5 | 2016-01-07T15:15:48.000Z | 2018-04-04T11:32:06.000Z | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 21 | 2015-05-20T11:30:43.000Z | 2020-08-01T14:09:19.000Z | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 1 | 2021-12-18T13:25:25.000Z | 2021-12-18T13:25:25.000Z | #!/usr/bin/env python
# vim:set softtabstop=4 shiftwidth=4 tabstop=4 expandtab:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
ABC = abc.ABCMeta(str('ABC'), (object,), {'__slots__': ()}) # noqa, compatible... | 29.637306 | 101 | 0.589685 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
ABC = abc.ABCMeta(str('ABC'), (object,), {'__slots__': ()})
from builtins import str
import subprocess
from prompty import functionBase
class VCS(objec... | true | true |
1c3eef73558629c63b8748c6c61ec75dac6338d5 | 338 | py | Python | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"questions", views.QuestionViewSet)
urlpatterns = [
path("", include(router.urls)),
path("reply/", views.ReplyView.as_view()),
path("totals/", views.TotalsV... | 24.142857 | 52 | 0.730769 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"questions", views.QuestionViewSet)
urlpatterns = [
path("", include(router.urls)),
path("reply/", views.ReplyView.as_view()),
path("totals/", views.TotalsV... | true | true |
1c3eef7ba4a7c4fdc2c91473e4bd1ee6d01d74ee | 672 | py | Python | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | # Copyright (c) 2010 Doug Hellmann. All rights reserved.
#
"""Simplistic sed implementation
"""
# end_pymotw_header
import fileinput
import glob
import sys
from_base = sys.argv[1]
to_base = sys.argv[2]
files = sys.argv[3:]
for line in fileinput.input(files, inplace=True):
if fileinput.isfirstline():
sys... | 28 | 88 | 0.709821 |
import fileinput
import glob
import sys
from_base = sys.argv[1]
to_base = sys.argv[2]
files = sys.argv[3:]
for line in fileinput.input(files, inplace=True):
if fileinput.isfirstline():
sys.stderr.write("Started processing {}\n".format(fileinput.filename()))
sys.stderr.write("Directory contains... | true | true |
1c3eefbea593be09972f9ea725f0661fe763ffae | 723 | py | Python | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 2 | 2019-07-24T16:00:51.000Z | 2019-10-03T18:36:20.000Z | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 19 | 2019-06-20T21:58:44.000Z | 2020-11-05T13:48:42.000Z | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 1 | 2019-06-22T17:30:42.000Z | 2019-06-22T17:30:42.000Z | import os
import json
import tempfile
import zlib
import base64
import urllib.request
def zlib_compress_str(content):
outdata = zlib.compress(content, zlib.Z_BEST_COMPRESSION)
encodedData = base64.encodebytes(outdata)
#print('zlib compressed >>> {}'.format(encodedData))
return encodedData
... | 27.807692 | 149 | 0.672199 | import os
import json
import tempfile
import zlib
import base64
import urllib.request
def zlib_compress_str(content):
outdata = zlib.compress(content, zlib.Z_BEST_COMPRESSION)
encodedData = base64.encodebytes(outdata)
return encodedData
def get_html_content(url):
hdr = {'User-Agent... | true | true |
1c3ef042bcfda68952527fd044dab09d320c8203 | 13,289 | py | Python | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 765 | 2015-01-14T16:17:04.000Z | 2022-03-28T07:46:28.000Z | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 30 | 2015-01-01T21:49:38.000Z | 2021-04-20T19:01:54.000Z | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 807 | 2015-01-06T09:55:38.000Z | 2022-03-30T10:23:36.000Z | # Copyright (c) 2015, 2018 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the function... | 41.270186 | 79 | 0.662503 |
import argparse
import random
import sys
import m5
from m5.objects import *
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("-a", "--atomic", action="store_true",
help="Use atomic (non-... | true | true |
1c3ef05626d3001d6615345a37559166642dbf90 | 2,329 | py | Python | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 85 | 2017-11-21T12:22:02.000Z | 2022-03-27T23:07:17.000Z | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 545 | 2017-11-04T14:15:04.000Z | 2022-03-27T14:19:27.000Z | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 45 | 2017-11-11T12:36:30.000Z | 2022-02-25T06:10:44.000Z |
import logging
import asyncio
from aiohttp import web
from tt_web import log
from tt_web import postgresql
from tt_web.common import event
from . import conf
from . import logic
PAYMENT_PROCESSING_TASK = None
async def start_payment_processing(config):
global PAYMENT_PROCESSING_TASK
async def process_p... | 22.833333 | 95 | 0.738085 |
import logging
import asyncio
from aiohttp import web
from tt_web import log
from tt_web import postgresql
from tt_web.common import event
from . import conf
from . import logic
PAYMENT_PROCESSING_TASK = None
async def start_payment_processing(config):
global PAYMENT_PROCESSING_TASK
async def process_p... | true | true |
1c3ef07816a957f2cca01e78a60ccc6f7ff6c908 | 3,936 | py | Python | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 40.163265 | 88 | 0.689278 |
import pytest
from rbac.common import addresser
from rbac.common.logs import get_default_logger
from tests.rbac.common.assertions import TestAssertions
LOGGER = get_default_logger(__name__)
@pytest.mark.addressing
@pytest.mark.library
class TestTaskAdminAddresser(TestAssertions):
def test_address... | true | true |
1c3ef0d84790c32f8626dfe621ea95c9af18d260 | 1,646 | py | Python | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 6 | 2017-12-31T16:19:16.000Z | 2021-04-26T02:03:30.000Z | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 1 | 2020-06-24T02:37:58.000Z | 2020-06-24T02:37:58.000Z | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 3 | 2019-07-01T18:29:54.000Z | 2020-06-24T20:15:10.000Z | import sys
CRITICAL = 50
ERROR = 40
WARNING = 30
INFO = 20
DEBUG = 10
NOTSET = 0
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_stream = sys.stderr
class Logger:
def __init__(self, name):
self.level = NOTSET
s... | 21.657895 | 96 | 0.595383 | import sys
CRITICAL = 50
ERROR = 40
WARNING = 30
INFO = 20
DEBUG = 10
NOTSET = 0
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_stream = sys.stderr
class Logger:
def __init__(self, name):
self.level = NOTSET
s... | true | true |
1c3ef0d87119236f2d3e758926f3d1b3c3e375d9 | 625 | py | Python | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | # By Kami Bigdely
# Decompose conditional: You have a complicated conditional(if-then-else) statement. Extract
# methods from the condition, then part, and else part(s).
def make_alert_sound():
print('made alert sound.')
def make_accept_sound():
print('made acceptance sound')
ingredients = [
'sodium benzo... | 21.551724 | 92 | 0.6432 |
def make_alert_sound():
print('made alert sound.')
def make_accept_sound():
print('made acceptance sound')
ingredients = [
'sodium benzoate'
]
toxins = [
'sodium nitrate',
'sodium benzoate',
'sodium oxide'
]
if toxins in ingredients:
print('!!!')
print('there is a toxin in the fo... | true | true |
1c3ef25388e77a1795dd23955ad7fc87a0bb0ddd | 12,693 | py | Python | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | import torch
from . import _tensor_str
from ._utils import _type, _cuda, _range, _rebuild_tensor
import sys
class _TensorBase(object):
#: bool: True if this is a CUDA tensor
is_cuda = False
is_sparse = False
def new(self, *args, **kwargs):
"""Constructs a new tensor of the same data type."""
... | 32.134177 | 105 | 0.573308 | import torch
from . import _tensor_str
from ._utils import _type, _cuda, _range, _rebuild_tensor
import sys
class _TensorBase(object):
is_cuda = False
is_sparse = False
def new(self, *args, **kwargs):
return self.__class__(*args, **kwargs)
def type_as(self, tensor):
return self.... | true | true |
1c3ef48bc5e3786c556eee182690af45b40856ac | 1,854 | py | Python | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
# Abstract factory
class PizzaFactory(ABC):
@abstractmethod
def criar_pizza(self):
pass
@abstractmethod
def criar_pizza_vegana(self):
pass
# Concrect Factory
class PizzaBrasileiraFactory(PizzaFactory):
def criar_pizza(self):
return Pi... | 22.888889 | 106 | 0.686084 | from abc import ABC, abstractmethod
class PizzaFactory(ABC):
@abstractmethod
def criar_pizza(self):
pass
@abstractmethod
def criar_pizza_vegana(self):
pass
class PizzaBrasileiraFactory(PizzaFactory):
def criar_pizza(self):
return PizzaCamarao()
def criar_pizza_ve... | true | true |
1c3ef51e2c749fd5a1651a2c69a1893b34771000 | 3,136 | py | Python | examples/item.py | djeebus/couchbase-python-client | fee7a4ea368d4d606601821973e5675b90ff0f7c | [
"Apache-2.0"
] | null | null | null | examples/item.py | djeebus/couchbase-python-client | fee7a4ea368d4d606601821973e5675b90ff0f7c | [
"Apache-2.0"
] | null | null | null | examples/item.py | djeebus/couchbase-python-client | fee7a4ea368d4d606601821973e5675b90ff0f7c | [
"Apache-2.0"
] | null | null | null | # Copyright 2013, Couchbase, Inc.
# 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 law... | 27.508772 | 74 | 0.644452 |
from couchbase.items import Item, ItemSequence
from couchbase.bucket import Bucket
from pprint import pprint
from random import randint
class Player(Item):
def __init__(self, name, create_structure=False):
super(Player, self).__init__(name)
if create_structure:
self.value... | false | true |
1c3ef5954090ff2844946ed9928596b498fc65ba | 3,200 | py | Python | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | import unittest
import mock
from sqlalchemy.engine import url as sqla_url
from .. import plugin
class PluginTest(unittest.TestCase):
def test_start_no_args(self):
with mock.patch.object(plugin, "start_plugin") as start_plugin:
url = sqla_url.URL("mysql+pymysql://scott:tiger@localhost/")
... | 36.781609 | 79 | 0.584688 | import unittest
import mock
from sqlalchemy.engine import url as sqla_url
from .. import plugin
class PluginTest(unittest.TestCase):
def test_start_no_args(self):
with mock.patch.object(plugin, "start_plugin") as start_plugin:
url = sqla_url.URL("mysql+pymysql://scott:tiger@localhost/")
... | true | true |
1c3ef6016330ed5b1789e5f911abf858f0b1bf46 | 8,016 | py | Python | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 2 | 2020-06-17T01:23:01.000Z | 2020-06-18T22:17:14.000Z | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 1 | 2019-02-09T15:44:11.000Z | 2019-02-09T15:44:11.000Z | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 1 | 2019-08-13T11:54:30.000Z | 2019-08-13T11:54:30.000Z | """
Support for Tibber.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.tibber/
"""
import asyncio
import logging
from datetime import timedelta
import aiohttp
from homeassistant.components.tibber import DOMAIN as TIBBER_DOMAIN
from homeassistan... | 33.261411 | 78 | 0.631362 | import asyncio
import logging
from datetime import timedelta
import aiohttp
from homeassistant.components.tibber import DOMAIN as TIBBER_DOMAIN
from homeassistant.exceptions import PlatformNotReady
from homeassistant.helpers.entity import Entity
from homeassistant.util import dt as dt_util
from homeassistant.util im... | true | true |
1c3ef6e63a51101f65832c61279954bc32fb9cee | 432 | py | Python | src/0973_K_closest_points_to_origin.py | hariharanragothaman/leetcode-solutions | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | 2 | 2021-04-21T07:59:42.000Z | 2021-06-17T17:14:26.000Z | src/0973_K_closest_points_to_origin.py | hariharanragothaman/pyrevise-leetcode | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | null | null | null | src/0973_K_closest_points_to_origin.py | hariharanragothaman/pyrevise-leetcode | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | null | null | null | """
Given an array of points, find the number of closest points to origin
"""
from typing import List
import heapq
def KClosest_using_sort(points: List[List[int]], k: int) -> List[List[int]]:
points = sorted(points, lambda P: P[0] ** 2 + P[1] ** 2)
return points[:k]
def KClosest_using_heap(points: List[Lis... | 27 | 76 | 0.652778 |
from typing import List
import heapq
def KClosest_using_sort(points: List[List[int]], k: int) -> List[List[int]]:
points = sorted(points, lambda P: P[0] ** 2 + P[1] ** 2)
return points[:k]
def KClosest_using_heap(points: List[List[int]], k: int) -> List[List[int]]:
return heapq.nsmallest(k, points, key... | true | true |
1c3ef75effc0c8895dcb921e1215e239572fd9cc | 4,592 | py | Python | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | 1 | 2022-01-19T07:50:28.000Z | 2022-01-19T07:50:28.000Z | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | null | null | null | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 37.639344 | 135 | 0.564895 | import collections
from typing import Callable, Dict, Iterator, List, Union
from oneflow.compatible import single_client as flow
from oneflow.compatible.single_client.nn.parameter import Parameter
from .optimizer import Optimizer, ParamGroup
class SGD(Optimizer):
def __init__(
self,
parameters:... | true | true |
1c3ef780c4c334aeb6fe7c61688c81c9940bc419 | 14,109 | py | Python | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | import pytest
from datagateway_api.src.common.date_handler import DateHandler
from datagateway_api.src.common.filter_order_handler import FilterOrderHandler
from datagateway_api.src.search_api.filters import SearchAPIWhereFilter
from datagateway_api.src.search_api.nested_where_filters import NestedWhereFilters
from da... | 44.507886 | 88 | 0.495995 | import pytest
from datagateway_api.src.common.date_handler import DateHandler
from datagateway_api.src.common.filter_order_handler import FilterOrderHandler
from datagateway_api.src.search_api.filters import SearchAPIWhereFilter
from datagateway_api.src.search_api.nested_where_filters import NestedWhereFilters
from da... | true | true |
1c3ef815b3a802937a031342ebb24aaf30ca0421 | 406,377 | py | Python | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | from numpy import array
def scigrid_2011_01_06_19():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[586, 3, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[589, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[590, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1,... | 70.933322 | 137 | 0.463252 | from numpy import array
def scigrid_2011_01_06_19():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[586, 3, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[589, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[590, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1,... | true | true |
1c3ef8d5d2ecd45e965099d0b652f213cd2a3600 | 1,333 | py | Python | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2018-11-27T03:39:44.000Z | 2021-09-06T15:50:35.000Z | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2019-01-11T20:11:52.000Z | 2019-01-11T20:11:52.000Z | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-10-14T14:20:17.000Z | 2020-10-14T14:20:17.000Z | # Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Gnat(MakefilePackage):
"""The GNAT Ada compiler. Ada is a modern programming language desi... | 40.393939 | 79 | 0.71943 |
from spack import *
class Gnat(MakefilePackage):
homepage = "https://libre.adacore.com/tools/gnat-gpl-edition/"
# There may actually be a way to install GNAT from source. If you go to
# the GNAT Download page: https://libre.adacore.com/download/
# select "Free Software or Academic Develop... | true | true |
1c3ef8da034054faf6b90a5fb4f4bab244f16ddb | 8,709 | py | Python | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2022 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writin... | 43.328358 | 104 | 0.722701 |
from typing import Union, List, Deque
import torch
from nncf.common.tensor import NNCFTensor
from nncf.common.tensor import TensorElementsType
from nncf.common.tensor_statistics.collectors import MinMaxStatisticCollector
from nncf.common.tensor_statistics.collectors import NNCFCollectorTensorProcessor
from nncf.comm... | true | true |
1c3efa4ec23c095d461e41407238996c900843aa | 548 | py | Python | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | 3 | 2021-12-07T22:24:09.000Z | 2022-02-25T01:11:40.000Z | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | null | null | null | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | null | null | null | """
Complete Programming Review Questions 1-10 page 464 Programming Exercises 1 on page 467.
1. B
2. C
3. D
4. A
5. B
6. C
7. A
8. B
9. A
10. B
"""
# Design a program that asks the user to enter 10 golf scores. The scores should be stored in an Integer array. Sort the array in ascending order and display its content... | 18.896552 | 171 | 0.638686 |
def main():
scores = []
for i in range(10):
print('Enter golf score ',i)
score = int(input(" "))
scores.append(score)
scores.sort()
print(scores)
if __name__ == "__main__":
main()
| true | true |
1c3efabc4da2175b4ec67c8a48bd257fa8e46bd9 | 5,107 | py | Python | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 26 | 2020-02-24T01:35:32.000Z | 2022-02-17T03:57:06.000Z | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 21 | 2020-03-11T20:07:01.000Z | 2021-11-14T03:12:17.000Z | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 12 | 2020-03-02T22:50:35.000Z | 2022-03-08T19:10:51.000Z | import os
import json
from os.path import join as pjoin
from tqdm import tqdm
import numpy as np
import gym
from graph_dataset import GraphDataset
class APData(gym.Env):
FILENAMES_MAP = {
"full": {
"train": "train.full.json",
"valid": "valid.full.json",
"test": "tes... | 37.277372 | 108 | 0.60329 | import os
import json
from os.path import join as pjoin
from tqdm import tqdm
import numpy as np
import gym
from graph_dataset import GraphDataset
class APData(gym.Env):
FILENAMES_MAP = {
"full": {
"train": "train.full.json",
"valid": "valid.full.json",
"test": "tes... | true | true |
1c3efb94a5faeb625776595e939cf45335985bee | 161 | py | Python | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Integration'] , ['LinearTrend'] , ['BestCycle'] , ['MLP'] ); | 40.25 | 83 | 0.751553 | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Integration'] , ['LinearTrend'] , ['BestCycle'] , ['MLP'] ); | true | true |
1c3efbd6ca771f960b74e6c39b6eb04038e73e32 | 2,519 | py | Python | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | 7 | 2021-11-02T11:23:49.000Z | 2022-02-16T13:25:47.000Z | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | null | null | null | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | 2 | 2021-11-02T11:23:54.000Z | 2022-02-02T15:56:03.000Z | """Plot the histograms for different pre-processing strategies."""
import os
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import run_histograms_cifar10
import run_histograms_imagenet
import seaborn as sns
from cockpit import CockpitPlotter
from cockpit.instruments.histogram_2d_gauge import _get... | 27.681319 | 79 | 0.709408 |
import os
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import run_histograms_cifar10
import run_histograms_imagenet
import seaborn as sns
from cockpit import CockpitPlotter
from cockpit.instruments.histogram_2d_gauge import _get_xmargin_histogram_data
sys.path.append(os.getcwd())
from experime... | true | true |
1c3efc920c9907cf51d01d38531a5b3c94401441 | 1,139 | py | Python | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | 2 | 2021-08-16T07:07:43.000Z | 2022-01-24T16:05:35.000Z | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | null | null | null | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | 1 | 2021-07-19T02:28:10.000Z | 2021-07-19T02:28:10.000Z | # Copyright (c) 2019 Sagar Gubbi. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import numpy as np
import matplotlib
import json
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def main():
rows = []
with open('log.txt') as f:
... | 30.783784 | 118 | 0.565408 |
import numpy as np
import matplotlib
import json
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def main():
rows = []
with open('log.txt') as f:
for line in f:
if line.startswith(':u_fx:'):
txt = '{"' + line[1:].strip().replace(': ', '": ').replace(', ', ', "') + ... | true | true |
1c3efd1348ec046804b606eac521ae4e8ed3cb77 | 7,645 | py | Python | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | null | null | null | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | 4 | 2021-01-12T18:24:20.000Z | 2021-01-20T16:03:07.000Z | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | null | null | null | # functions to manipulate the datas
import json
import io
import os
from pathlib import Path
import json
# Parameter: json_path: path to json file
#
# Output: a string representing the data
def extract_text_from_json(json_path):
with open(json_path) as json_file:
data = json.load(json_file)... | 31.590909 | 87 | 0.398169 |
import json
import io
import os
from pathlib import Path
import json
def extract_text_from_json(json_path):
with open(json_path) as json_file:
data = json.load(json_file)
result = ""
print("Nombre d'arrété dans ", json_path, ": ", len(data["arretes"]))
for arrete in dat... | true | true |
1c3efe1206769bebd4f2f227ff1d560751c18fc7 | 3,245 | py | Python | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | 2 | 2018-03-14T08:49:07.000Z | 2019-05-20T02:31:38.000Z | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | null | null | null | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | 1 | 2020-11-06T06:02:20.000Z | 2020-11-06T06:02:20.000Z | #!/usr/bin/env python
from __future__ import print_function, unicode_literals, division
import io
import bz2
import logging
from os import path
import os
import random
from collections import defaultdict
import plac
try:
import ujson as json
except ImportError:
import json
from gensim.models import Word2Vec
fr... | 31.504854 | 102 | 0.639137 |
from __future__ import print_function, unicode_literals, division
import io
import bz2
import logging
from os import path
import os
import random
from collections import defaultdict
import plac
try:
import ujson as json
except ImportError:
import json
from gensim.models import Word2Vec
from preshed.counter im... | true | true |
1c3efe168a0e06acb0d1c01f34daba0d3e09ab59 | 3,817 | py | Python | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | # encoding: utf-8
"""
@author: l1aoxingyu
@contact: sherlockliao01@gmail.com
"""
import os
import torch
from torch._six import container_abcs, string_classes, int_classes
from torch.utils.data import DataLoader
from fastreid.utils import comm
from . import samplers
from .common import CommDataset
from .datasets impo... | 33.482456 | 124 | 0.698192 |
import os
import torch
from torch._six import container_abcs, string_classes, int_classes
from torch.utils.data import DataLoader
from fastreid.utils import comm
from . import samplers
from .common import CommDataset
from .datasets import DATASET_REGISTRY
from .transforms import build_transforms
_root = os.getenv("... | true | true |
1c3efe56717d90a8d09328f57a5bc578273d39ac | 9,089 | py | Python | vpc-flow-logs/enable-vpc-flowlogs.py | adamgilman/aws-fast-fixes | ace2ee78f19ea9555d4e2314c049a0df741b406a | [
"Apache-2.0"
] | null | null | null | vpc-flow-logs/enable-vpc-flowlogs.py | adamgilman/aws-fast-fixes | ace2ee78f19ea9555d4e2314c049a0df741b406a | [
"Apache-2.0"
] | null | null | null | vpc-flow-logs/enable-vpc-flowlogs.py | adamgilman/aws-fast-fixes | ace2ee78f19ea9555d4e2314c049a0df741b406a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import boto3
from botocore.exceptions import ClientError
import logging
def main(args, logger):
'''Executes the Primary Logic'''
# If they specify a profile use it. Otherwise do the normal thing
if args.profile:
session = boto3.Session(profile_name=args.profile)
else:
... | 40.395556 | 154 | 0.601276 |
import boto3
from botocore.exceptions import ClientError
import logging
def main(args, logger):
if args.profile:
session = boto3.Session(profile_name=args.profile)
else:
session = boto3.Session()
all_regions = get_regions(session, args)
for region in all_regions:
... | true | true |
1c3efe5ec2a1831555eaf795850e6be08dadf58f | 844 | bzl | Python | build/go_binary.bzl | xybots/cert-manager | cdccb752ff98219a1995fce2c6f797c450437805 | [
"Apache-2.0"
] | 1 | 2021-04-01T04:14:36.000Z | 2021-04-01T04:14:36.000Z | build/go_binary.bzl | xybots/cert-manager | cdccb752ff98219a1995fce2c6f797c450437805 | [
"Apache-2.0"
] | 1 | 2021-02-24T00:42:10.000Z | 2021-02-24T00:42:10.000Z | build/go_binary.bzl | xybots/cert-manager | cdccb752ff98219a1995fce2c6f797c450437805 | [
"Apache-2.0"
] | 3 | 2020-06-17T19:04:26.000Z | 2021-02-11T14:29:09.000Z | # Copyright 2020 The Jetstack cert-manager contributors.
#
# 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... | 35.166667 | 74 | 0.726303 |
load(":version.bzl", "version_x_defs")
load("@io_bazel_rules_go//go:def.bzl", real_go_binary = "go_binary")
def go_binary(name, **kwargs):
real_go_binary(
name = name,
x_defs = version_x_defs(),
**kwargs,
)
| true | true |
1c3efe89d4fd8bd65e289ed402cd959cacff3f4c | 58,338 | py | Python | salt/modules/dockerio.py | bruce-one/salt | 0715f6c29a8e19c3cf7a67ad41aff84801c9f5ae | [
"Apache-2.0"
] | 1 | 2016-04-20T08:18:07.000Z | 2016-04-20T08:18:07.000Z | salt/modules/dockerio.py | quantonganh/salt | 8f1df678573153970c08b33978fe185d9ed1b71c | [
"Apache-2.0"
] | null | null | null | salt/modules/dockerio.py | quantonganh/salt | 8f1df678573153970c08b33978fe185d9ed1b71c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Management of dockers
=====================
.. versionadded:: 2014.1.0 (Hydrogen)
.. note::
The DockerIO integration is still in beta; the API is subject to change
General notes
-------------
- As we use states, we don't want to pop continuously dockers, we will map each
container... | 26.945958 | 81 | 0.536957 |
'''
Management of dockers
=====================
.. versionadded:: 2014.1.0 (Hydrogen)
.. note::
The DockerIO integration is still in beta; the API is subject to change
General notes
-------------
- As we use states, we don't want to pop continuously dockers, we will map each
container id (or image) with a ... | false | true |
1c3efe945ce0be96d2fe3fb29a37f0bac9cd0d9d | 6,302 | py | Python | idm_lp/database/database.py | hfek/hfek | ecafcd177bf5a4af1f499180a2230985bd953863 | [
"MIT"
] | null | null | null | idm_lp/database/database.py | hfek/hfek | ecafcd177bf5a4af1f499180a2230985bd953863 | [
"MIT"
] | null | null | null | idm_lp/database/database.py | hfek/hfek | ecafcd177bf5a4af1f499180a2230985bd953863 | [
"MIT"
] | null | null | null | import asyncio
import json
import os
import typing
from typing import List
from pydantic import BaseModel, validator, Field
from idm_lp import const
from . import (
Alias,
ChatEnterModel,
IgnoredMembers,
IgnoredGlobalMembers,
MutedMembers,
ContextInstanceMixin,
RegexDeleter,
RolePlayCo... | 39.142857 | 110 | 0.643923 | import asyncio
import json
import os
import typing
from typing import List
from pydantic import BaseModel, validator, Field
from idm_lp import const
from . import (
Alias,
ChatEnterModel,
IgnoredMembers,
IgnoredGlobalMembers,
MutedMembers,
ContextInstanceMixin,
RegexDeleter,
RolePlayCo... | true | true |
1c3efe98da4095058df9a4d3135d99eecccd4a74 | 575 | py | Python | config/celery_app.py | Dm1tryD/estore_api | 1b944d2c3c47303e312581c3fc1a8af658eb3d06 | [
"MIT"
] | null | null | null | config/celery_app.py | Dm1tryD/estore_api | 1b944d2c3c47303e312581c3fc1a8af658eb3d06 | [
"MIT"
] | null | null | null | config/celery_app.py | Dm1tryD/estore_api | 1b944d2c3c47303e312581c3fc1a8af658eb3d06 | [
"MIT"
] | null | null | null | import os
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.local")
app = Celery("estore_api")
# Using a string here means the worker doesn't have to serialize
# the configuration object to child processes.
#... | 31.944444 | 72 | 0.782609 | import os
from celery import Celery
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.local")
app = Celery("estore_api")
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
# should have a `CELERY_` prefix.
app.config_from_object("djan... | true | true |
1c3efea36189ce256d13e4e745168bf3a12a3f29 | 779 | py | Python | Validation/CTPPS/python/simu_config/year_2018_postTS2_cff.py | rishabhCMS/cmssw | 77d83fe564dd8f598d0bb09da8388445d6f4126e | [
"Apache-2.0"
] | 1 | 2020-10-08T06:48:26.000Z | 2020-10-08T06:48:26.000Z | Validation/CTPPS/python/simu_config/year_2018_postTS2_cff.py | rishabhCMS/cmssw | 77d83fe564dd8f598d0bb09da8388445d6f4126e | [
"Apache-2.0"
] | null | null | null | Validation/CTPPS/python/simu_config/year_2018_postTS2_cff.py | rishabhCMS/cmssw | 77d83fe564dd8f598d0bb09da8388445d6f4126e | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
from Validation.CTPPS.simu_config.year_2018_cff import *
# alignment
from CalibPPS.ESProducers.ctppsRPAlignmentCorrectionsDataESSourceXML_cfi import *
alignmentFile = "Validation/CTPPS/alignment/2018_postTS2.xml"
ctppsRPAlignmentCorrectionsDataESSourceXML.MisalignedFiles = [al... | 43.277778 | 131 | 0.802311 | import FWCore.ParameterSet.Config as cms
from Validation.CTPPS.simu_config.year_2018_cff import *
from CalibPPS.ESProducers.ctppsRPAlignmentCorrectionsDataESSourceXML_cfi import *
alignmentFile = "Validation/CTPPS/alignment/2018_postTS2.xml"
ctppsRPAlignmentCorrectionsDataESSourceXML.MisalignedFiles = [alignmentFile... | true | true |
1c3f000beb71bb40696ed111f073504de119b2eb | 12,313 | py | Python | assignment3/cs231n/classifiers/rnn.py | kandluis/cs231n | 88afdbc37189f54803f361b9812f48843357349e | [
"MIT"
] | null | null | null | assignment3/cs231n/classifiers/rnn.py | kandluis/cs231n | 88afdbc37189f54803f361b9812f48843357349e | [
"MIT"
] | null | null | null | assignment3/cs231n/classifiers/rnn.py | kandluis/cs231n | 88afdbc37189f54803f361b9812f48843357349e | [
"MIT"
] | null | null | null | from builtins import range
from builtins import object
import numpy as np
from cs231n.layers import *
from cs231n.rnn_layers import *
class CaptioningRNN(object):
"""
A CaptioningRNN produces captions from image features using a recurrent
neural network.
The RNN receives input vectors of size D, has... | 51.304167 | 84 | 0.56282 | from builtins import range
from builtins import object
import numpy as np
from cs231n.layers import *
from cs231n.rnn_layers import *
class CaptioningRNN(object):
def __init__(self, word_to_idx, input_dim=512, wordvec_dim=128,
hidden_dim=128, cell_type='rnn', dtype=np.float32):
if cell_... | true | true |
1c3f01950869cfecf6380046a2eb24ec7d0d2cea | 6,929 | py | Python | research/delf/delf/python/feature_io.py | hamediramin/ObjectDetectionAPI | 38638ce126ab708b1eb22a3cf40d4c7713cc535f | [
"Apache-2.0"
] | 3,326 | 2018-01-26T22:42:25.000Z | 2022-02-16T13:16:39.000Z | research/delf/delf/python/feature_io.py | lianlengyunyu/models | 984fbc754943c849c55a57923f4223099a1ff88c | [
"Apache-2.0"
] | 150 | 2017-08-28T14:59:36.000Z | 2022-03-11T23:21:35.000Z | research/delf/delf/python/feature_io.py | lianlengyunyu/models | 984fbc754943c849c55a57923f4223099a1ff88c | [
"Apache-2.0"
] | 1,474 | 2018-02-01T04:33:18.000Z | 2022-03-08T07:02:20.000Z | # 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 applicab... | 34.994949 | 80 | 0.693895 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from delf import feature_pb2
from delf import datum_io
import numpy as np
from six.moves import xrange
import tensorflow as tf
def ArraysToDelfFeatures(locations,
scal... | true | true |
1c3f0197b9aad6e08ff29278749e9495d7b8f1f4 | 846 | py | Python | apis/alembic/versions/d10a9ad9f863_add_restart_number_for_deploy_.py | iii-org/devops-system | 71f938c9e225ac24ab9102a8221dc5341a01889c | [
"Apache-2.0"
] | 4 | 2021-07-15T15:59:01.000Z | 2022-02-24T02:58:52.000Z | apis/alembic/versions/d10a9ad9f863_add_restart_number_for_deploy_.py | iii-org/devops-system | 71f938c9e225ac24ab9102a8221dc5341a01889c | [
"Apache-2.0"
] | 4 | 2020-06-12T04:05:46.000Z | 2021-11-09T03:53:13.000Z | apis/alembic/versions/d10a9ad9f863_add_restart_number_for_deploy_.py | iii-org/devops-system | 71f938c9e225ac24ab9102a8221dc5341a01889c | [
"Apache-2.0"
] | 2 | 2020-09-29T05:39:28.000Z | 2021-11-26T09:52:17.000Z | """add restart number for deploy application
Revision ID: d10a9ad9f863
Revises: 90a8f40d4f2c
Create Date: 2021-09-06 10:33:18.670376
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd10a9ad9f863'
down_revision = '90a8f40d4f2c'
branch_labels = None
depends_on = ... | 27.290323 | 90 | 0.710402 | from alembic import op
import sqlalchemy as sa
revision = 'd10a9ad9f863'
down_revision = '90a8f40d4f2c'
branch_labels = None
depends_on = None
def upgrade():
)
| true | true |
1c3f024bb5c2bb49fd2bbfa7cfe9f781f205d339 | 47,928 | py | Python | Algorithm.Python/PL_Stat6_fx/hp3.py | pasztorlacos/Lean | ca204c07d9bb390f853eb2f3da0ebc08150fef36 | [
"Apache-2.0"
] | null | null | null | Algorithm.Python/PL_Stat6_fx/hp3.py | pasztorlacos/Lean | ca204c07d9bb390f853eb2f3da0ebc08150fef36 | [
"Apache-2.0"
] | null | null | null | Algorithm.Python/PL_Stat6_fx/hp3.py | pasztorlacos/Lean | ca204c07d9bb390f853eb2f3da0ebc08150fef36 | [
"Apache-2.0"
] | null | null | null | ### <summary>
### Helpers
###
### </summary>
from QuantConnect.Orders import *
from QuantConnect.Orders.Fills import *
from QuantConnect.Orders.Fees import *
import tensorflow as tf
from QuantConnect.Orders import OrderStatus
from QuantConnect import Resolution, SecurityType
#import math
from math import log
#import ... | 60.899619 | 2,637 | 0.571378 | ort *
from QuantConnect.Orders.Fees import *
import tensorflow as tf
from QuantConnect.Orders import OrderStatus
from QuantConnect import Resolution, SecurityType
from math import log
import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import tensorflow
import json
import pickle
import co... | true | true |
1c3f02f8e5985d6b7670531f93bdfb106a93f89f | 2,070 | py | Python | dataloader.py | JayD1912/image_outpaint | 0b47d94c6cbd10f749ed717d7d5f76bba03c0d9d | [
"MIT"
] | null | null | null | dataloader.py | JayD1912/image_outpaint | 0b47d94c6cbd10f749ed717d7d5f76bba03c0d9d | [
"MIT"
] | null | null | null | dataloader.py | JayD1912/image_outpaint | 0b47d94c6cbd10f749ed717d7d5f76bba03c0d9d | [
"MIT"
] | null | null | null | import numpy as np
import os
from random import shuffle
DATA_PATH = "train"
TEST_PATH = "test"
class Data():
def __init__(self):
self.X_counter = 0
self.file_counter = 0
self.files = os.listdir(DATA_PATH)
self.files = [file for file in self.files if '.npy' in file]
shuffle(self.files)
s... | 24.069767 | 74 | 0.644928 | import numpy as np
import os
from random import shuffle
DATA_PATH = "train"
TEST_PATH = "test"
class Data():
def __init__(self):
self.X_counter = 0
self.file_counter = 0
self.files = os.listdir(DATA_PATH)
self.files = [file for file in self.files if '.npy' in file]
shuffle(self.files)
s... | true | true |
1c3f04dfed6c101a659c0d01e90716a188f78071 | 4,533 | py | Python | sourcecode/usb-example/python/face_detect.py | HeavenFish/Face-Recognition-Check-in-with-Line-API | 06f5fb635ce606f225ef24aac8270d689dd68cbc | [
"MIT"
] | null | null | null | sourcecode/usb-example/python/face_detect.py | HeavenFish/Face-Recognition-Check-in-with-Line-API | 06f5fb635ce606f225ef24aac8270d689dd68cbc | [
"MIT"
] | null | null | null | sourcecode/usb-example/python/face_detect.py | HeavenFish/Face-Recognition-Check-in-with-Line-API | 06f5fb635ce606f225ef24aac8270d689dd68cbc | [
"MIT"
] | null | null | null | import time
import cv2 as cv
import smtplib as sm
import os
from practicum import find_mcu_boards, McuBoard, PeriBoard
from requests import get, post
from line_notify import LineNotify
def notifymessage(message):
payload = {"message": message}
sendnotify(payload)
def notifypic(message, url):
... | 35.414063 | 116 | 0.554379 | import time
import cv2 as cv
import smtplib as sm
import os
from practicum import find_mcu_boards, McuBoard, PeriBoard
from requests import get, post
from line_notify import LineNotify
def notifymessage(message):
payload = {"message": message}
sendnotify(payload)
def notifypic(message, url):
... | true | true |
1c3f056eef1798da8fcdf25ae23b87f8e864b8e9 | 2,616 | py | Python | src/scheduler/domain/operation/commands/SendSchedulerErrorMailCommand.py | jedicontributors/pythondataintegrator | 3e877b367ab9b20185476128ec053db41087879f | [
"MIT"
] | null | null | null | src/scheduler/domain/operation/commands/SendSchedulerErrorMailCommand.py | jedicontributors/pythondataintegrator | 3e877b367ab9b20185476128ec053db41087879f | [
"MIT"
] | null | null | null | src/scheduler/domain/operation/commands/SendSchedulerErrorMailCommand.py | jedicontributors/pythondataintegrator | 3e877b367ab9b20185476128ec053db41087879f | [
"MIT"
] | null | null | null | from injector import inject
from IocManager import IocManager
from infrastructor.configuration.ConfigService import ConfigService
from infrastructor.data.RepositoryProvider import RepositoryProvider
from infrastructor.delivery.EmailProvider import EmailProvider
from infrastructor.exceptions.OperationalException import... | 51.294118 | 116 | 0.713303 | from injector import inject
from IocManager import IocManager
from infrastructor.configuration.ConfigService import ConfigService
from infrastructor.data.RepositoryProvider import RepositoryProvider
from infrastructor.delivery.EmailProvider import EmailProvider
from infrastructor.exceptions.OperationalException import... | true | true |
1c3f05ecf7911afc61827af6e5458a756c303ca1 | 9,582 | py | Python | Parsers.py | rambasnet/EVENT | dd3a6507112e4adc054481608d8968706f80d23f | [
"MIT"
] | null | null | null | Parsers.py | rambasnet/EVENT | dd3a6507112e4adc054481608d8968706f80d23f | [
"MIT"
] | null | null | null | Parsers.py | rambasnet/EVENT | dd3a6507112e4adc054481608d8968706f80d23f | [
"MIT"
] | null | null | null | #-----------------------------------------------------------------------------
# Name: Parsers.py
# Purpose:
#
# Author: Ram Basnet
#
# Created: 2008/01/17
# Modified: 10/1/2009
# RCS-ID: $Id: Parsers.py $
# Copyright: (c) 2008
# Licence: All Rights Reserved.
#-------------... | 34.221429 | 134 | 0.531831 |
import string, re, shutil, os
import xml.sax.handler
import time
import pylab
from SqliteDatabase import *
import xml.sax
import os.path
from NessusXML import *
from LanguardXML import *
from RetinaHTML import *
from NmapXML import *
from Config import *
import Global
def InitTables(db, sca... | false | true |
1c3f06668e685207312debef13aeb5f3ad782b94 | 437 | py | Python | rubicon_ml/ui/__init__.py | capitalone/rubicon | b784cd2e28c68bc44d04317b7acc1eaadda7e4eb | [
"Apache-2.0"
] | 42 | 2021-02-23T23:30:49.000Z | 2021-05-01T02:54:03.000Z | rubicon_ml/ui/__init__.py | capitalone/rubicon-ml | b784cd2e28c68bc44d04317b7acc1eaadda7e4eb | [
"Apache-2.0"
] | 56 | 2021-05-13T13:47:50.000Z | 2022-03-24T13:46:49.000Z | rubicon_ml/ui/__init__.py | capitalone/rubicon | b784cd2e28c68bc44d04317b7acc1eaadda7e4eb | [
"Apache-2.0"
] | 9 | 2021-02-23T23:30:51.000Z | 2021-04-24T16:42:28.000Z | def _check_for_ui_extras():
try:
import dash # noqa F401
import dash_html_components as html # noqa F401
except ImportError:
install_command = "pip install rubicon[ui]"
message = f"Install the packages required for the UI with `{install_command}`."
raise ImportError(me... | 25.705882 | 87 | 0.693364 | def _check_for_ui_extras():
try:
import dash
import dash_html_components as html
except ImportError:
install_command = "pip install rubicon[ui]"
message = f"Install the packages required for the UI with `{install_command}`."
raise ImportError(message)
_check_for_ui... | true | true |
1c3f08346d19b97e95a22306a1f67375c392273a | 227 | py | Python | sequential/audioset/__init__.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | 26 | 2020-06-17T08:44:15.000Z | 2022-03-20T04:21:13.000Z | sequential/audioset/__init__.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | null | null | null | sequential/audioset/__init__.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | 4 | 2020-10-26T02:19:38.000Z | 2021-12-26T02:26:05.000Z | import os
import sys
curr_dir = os.path.basename(os.path.abspath(os.curdir))
# See __init__.py in folder "toy_example" for an explanation.
if curr_dir == 'audioset' and '../..' not in sys.path:
sys.path.insert(0, '../..')
| 28.375 | 61 | 0.682819 | import os
import sys
curr_dir = os.path.basename(os.path.abspath(os.curdir))
if curr_dir == 'audioset' and '../..' not in sys.path:
sys.path.insert(0, '../..')
| true | true |
1c3f0914bb047b56ded0096975ff401e24cd96e5 | 7,279 | py | Python | lte/gateway/python/magma/pipelined/rule_mappers.py | saurabhsoni88/magma | 4236c9d8edb7bd203707ff7e861b1f7c12fb84c7 | [
"BSD-3-Clause"
] | null | null | null | lte/gateway/python/magma/pipelined/rule_mappers.py | saurabhsoni88/magma | 4236c9d8edb7bd203707ff7e861b1f7c12fb84c7 | [
"BSD-3-Clause"
] | 72 | 2021-03-08T09:37:52.000Z | 2022-03-29T23:20:10.000Z | lte/gateway/python/magma/pipelined/rule_mappers.py | kkahrs/magma | 73e666627dc28e0c492feab7321bb7d6dd433b09 | [
"BSD-3-Clause"
] | 1 | 2021-07-07T14:26:13.000Z | 2021-07-07T14:26:13.000Z | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | 34.334906 | 84 | 0.660393 | import json
import threading
from collections import namedtuple
from typing import Optional
from lte.protos.mobilityd_pb2 import IPAddress
from magma.pipelined.imsi import encode_imsi
from magma.common.redis.client import get_default_client
from magma.common.redis.containers import RedisHashDict
from magma.common.redi... | true | true |
1c3f0a0c86d47e00c83a25b03533a6f7098b15d8 | 927 | py | Python | etc/v3/lib.py | timm/au | 14b6ae77cf12c746c1dbad3d35a3dca874fc8d41 | [
"MIT"
] | null | null | null | etc/v3/lib.py | timm/au | 14b6ae77cf12c746c1dbad3d35a3dca874fc8d41 | [
"MIT"
] | 14 | 2020-05-24T19:22:20.000Z | 2021-01-01T03:50:26.000Z | etc/v3/lib.py | timm/gold | 14b6ae77cf12c746c1dbad3d35a3dca874fc8d41 | [
"MIT"
] | null | null | null | import pprint
import re
import random
import sys
class Thing:
"Classes that can pretty print themselves."
def __repr__(i):
return re.sub(r"'", ' ',
pprint.pformat(dicts(i.__dict__), compact=True))
def dicts(i, seen=None):
" Converts `i` into a nested dictionary, then pretty-prints that."... | 22.609756 | 68 | 0.606257 | import pprint
import re
import random
import sys
class Thing:
def __repr__(i):
return re.sub(r"'", ' ',
pprint.pformat(dicts(i.__dict__), compact=True))
def dicts(i, seen=None):
if isinstance(i, (tuple, list)):
return [dicts(v, seen) for v in i]
elif isinstance(i, dict):
return {... | true | true |
1c3f0a791361f1bf2f0d720fe7fdd421e3085d21 | 283 | py | Python | compiler_gym/util/flags/episode_length.py | thecoblack/CompilerGym | ade54e2f1829cf41722decb0942a4d6fd3102c2c | [
"MIT"
] | 562 | 2020-12-21T14:10:20.000Z | 2022-03-31T21:23:55.000Z | compiler_gym/util/flags/episode_length.py | thecoblack/CompilerGym | ade54e2f1829cf41722decb0942a4d6fd3102c2c | [
"MIT"
] | 433 | 2020-12-22T03:40:41.000Z | 2022-03-31T18:16:17.000Z | compiler_gym/util/flags/episode_length.py | thecoblack/CompilerGym | ade54e2f1829cf41722decb0942a4d6fd3102c2c | [
"MIT"
] | 88 | 2020-12-22T08:22:00.000Z | 2022-03-20T19:00:40.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from absl import flags
flags.DEFINE_integer("episode_length", 5, "The number of steps in each episode.")
| 35.375 | 81 | 0.763251 |
from absl import flags
flags.DEFINE_integer("episode_length", 5, "The number of steps in each episode.")
| true | true |
1c3f0a9ccd8484cdf510ff5f2a5708936bfbae13 | 139 | py | Python | tinychronicler/__init__.py | adzialocha/tinychronicler | 0a3fb213536dd7fc2af490c027a189fb2810903f | [
"MIT"
] | 4 | 2021-08-16T17:22:25.000Z | 2022-02-21T14:38:17.000Z | tinychronicler/__init__.py | adzialocha/tinychronicler | 0a3fb213536dd7fc2af490c027a189fb2810903f | [
"MIT"
] | null | null | null | tinychronicler/__init__.py | adzialocha/tinychronicler | 0a3fb213536dd7fc2af490c027a189fb2810903f | [
"MIT"
] | null | null | null | from .main import main
from .server import server
from .version import version as __version__
__all__ = ["__version__", "main", "server"]
| 23.166667 | 43 | 0.755396 | from .main import main
from .server import server
from .version import version as __version__
__all__ = ["__version__", "main", "server"]
| true | true |
1c3f0b2a01834fec9d729e03253215c8a0748774 | 500 | py | Python | migrations/versions/26e69577923_.py | Summerotter/furryyellowpages | 7e10786a39ddae9de5dad0236191a6258b527be8 | [
"MIT"
] | null | null | null | migrations/versions/26e69577923_.py | Summerotter/furryyellowpages | 7e10786a39ddae9de5dad0236191a6258b527be8 | [
"MIT"
] | 1 | 2021-02-02T21:46:02.000Z | 2021-02-02T21:46:02.000Z | migrations/versions/26e69577923_.py | Summerotter/furryyellowpages | 7e10786a39ddae9de5dad0236191a6258b527be8 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 26e69577923
Revises: cd1d14e435
Create Date: 2017-03-08 18:18:30.706551
"""
# revision identifiers, used by Alembic.
revision = '26e69577923'
down_revision = 'cd1d14e435'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please... | 18.518519 | 63 | 0.686 |
revision = '26e69577923'
down_revision = 'cd1d14e435'
from alembic import op
import sqlalchemy as sa
def upgrade():
| true | true |
1c3f0b739199b034e4405680127f28833ab4e5ff | 3,077 | py | Python | flask_admin/helpers.py | pashcovich/flask-admin | f5748f25b91392012be536a81dc23fd92e5e791d | [
"BSD-3-Clause"
] | 2 | 2015-01-04T15:56:55.000Z | 2015-06-23T19:55:07.000Z | flask_admin/helpers.py | pawl/flask-admin | 700b8f4313b12d46d79d55f434db44d794fffb7d | [
"BSD-3-Clause"
] | null | null | null | flask_admin/helpers.py | pawl/flask-admin | 700b8f4313b12d46d79d55f434db44d794fffb7d | [
"BSD-3-Clause"
] | null | null | null | from re import sub
from jinja2 import contextfunction
from flask import g, request, url_for
from wtforms.validators import DataRequired, InputRequired
from flask.ext.admin._compat import urljoin, urlparse
from ._compat import string_types
def set_current_view(view):
g._admin_view = view
def get_current_view(... | 22.792593 | 95 | 0.637634 | from re import sub
from jinja2 import contextfunction
from flask import g, request, url_for
from wtforms.validators import DataRequired, InputRequired
from flask.ext.admin._compat import urljoin, urlparse
from ._compat import string_types
def set_current_view(view):
g._admin_view = view
def get_current_view(... | true | true |
1c3f0b974b912a60861d9ae2ced14645b28dda03 | 100 | py | Python | tracker/app/models/__init__.py | skielred/FairyJokeAPI | 71228e477bc6dd259e6f5f7e09b30c1e23ab96a3 | [
"MIT"
] | 3 | 2021-12-18T11:09:08.000Z | 2022-03-31T22:42:19.000Z | tracker/app/models/__init__.py | skielred/FairyJokeAPI | 71228e477bc6dd259e6f5f7e09b30c1e23ab96a3 | [
"MIT"
] | null | null | null | tracker/app/models/__init__.py | skielred/FairyJokeAPI | 71228e477bc6dd259e6f5f7e09b30c1e23ab96a3 | [
"MIT"
] | null | null | null | from .user import User
from .game import Game
from .ddr import DDRLocalChart, DDRScore, DDRScoreMod
| 25 | 53 | 0.81 | from .user import User
from .game import Game
from .ddr import DDRLocalChart, DDRScore, DDRScoreMod
| true | true |
1c3f0bfc5a08d4f9a4674c31951e141174c4e72b | 7,890 | py | Python | examples/lstm_stateful.py | asanoboy/keras | e467ee5a1a00afdfa1cb7f5508fdbfd2c5eab1e5 | [
"MIT"
] | 1 | 2017-11-01T19:10:35.000Z | 2017-11-01T19:10:35.000Z | examples/lstm_stateful.py | dmaniry/keras | 32aa192548b6b59bf407e583fbd246ba9f5f5676 | [
"MIT"
] | null | null | null | examples/lstm_stateful.py | dmaniry/keras | 32aa192548b6b59bf407e583fbd246ba9f5f5676 | [
"MIT"
] | 1 | 2019-11-19T12:13:27.000Z | 2019-11-19T12:13:27.000Z | '''Example script showing how to use a stateful LSTM model
and how its stateless counterpart performs.
More documentation about the Keras LSTM model can be found at
https://keras.io/layers/recurrent/#lstm
The models are trained on an input/output pair, where
the input is a generated uniformly distributed
random seque... | 32.603306 | 79 | 0.685805 | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, LSTM
input_len = 1000
tsteps = 2
lahead = 1
batch_size = 1
epochs = 10
print("*" * 33)
if lahead >= tsteps:
print("ST... | true | true |
1c3f0d1dcf080b615a73e5f6e831b8581fc6ca4a | 597 | py | Python | tadataka/decorator.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 54 | 2019-11-15T16:30:34.000Z | 2022-01-13T15:18:54.000Z | tadataka/decorator.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 11 | 2019-02-28T08:28:24.000Z | 2020-04-07T04:47:12.000Z | tadataka/decorator.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 1 | 2020-02-26T13:59:40.000Z | 2020-02-26T13:59:40.000Z | import numpy as np
def allow_1d(which_argument):
def allow_1d_(function):
def decorated(*args, **kwargs):
args = list(args)
ndim = np.ndim(args[which_argument])
if ndim == 1:
args[which_argument] = np.atleast_2d(args[which_argument])
ret... | 27.136364 | 76 | 0.544389 | import numpy as np
def allow_1d(which_argument):
def allow_1d_(function):
def decorated(*args, **kwargs):
args = list(args)
ndim = np.ndim(args[which_argument])
if ndim == 1:
args[which_argument] = np.atleast_2d(args[which_argument])
ret... | true | true |
1c3f0d534ffb999c7a8ad354a71e615c40bb1fb1 | 6,166 | py | Python | test/countries/test_singapore.py | hugovk/python-holidays | e22c667a159c959d81b512cc354910fc5c6653a9 | [
"MIT"
] | 48 | 2016-11-22T09:18:50.000Z | 2018-01-14T14:06:49.000Z | test/countries/test_singapore.py | hugovk/python-holidays | e22c667a159c959d81b512cc354910fc5c6653a9 | [
"MIT"
] | 59 | 2016-12-03T15:52:36.000Z | 2018-01-16T09:37:15.000Z | test/countries/test_singapore.py | hugovk/python-holidays | e22c667a159c959d81b512cc354910fc5c6653a9 | [
"MIT"
] | 51 | 2016-11-25T14:53:55.000Z | 2018-01-16T09:58:56.000Z | # -*- coding: utf-8 -*-
# python-holidays
# ---------------
# A fast, efficient Python library for generating country, province and state
# specific sets of holidays on the fly. It aims to make determining whether a
# specific date is a holiday as fast and flexible as possible.
#
# Authors: dr-prodigy <maurizio.... | 45.007299 | 78 | 0.614175 |
import sys
import unittest
from datetime import date
import holidays
class TestSingapore(unittest.TestCase):
def setUp(self):
self.holidays = holidays.Singapore()
def test_Singapore(self):
self.assertIn(date(1968, 4, 13), self.holidays)
self.assertIn(date(1968,... | true | true |
1c3f0d91ed6ea18b6fa39386621d4fef7c35b322 | 10,747 | py | Python | graph_updater.py | xingdi-eric-yuan/gata | 059cd2e486adfdb5edc3e2df628d573ee9a3796b | [
"MIT"
] | 1 | 2021-04-28T03:31:07.000Z | 2021-04-28T03:31:07.000Z | graph_updater.py | xingdi-eric-yuan/gata | 059cd2e486adfdb5edc3e2df628d573ee9a3796b | [
"MIT"
] | null | null | null | graph_updater.py | xingdi-eric-yuan/gata | 059cd2e486adfdb5edc3e2df628d573ee9a3796b | [
"MIT"
] | 1 | 2021-04-28T03:32:57.000Z | 2021-04-28T03:32:57.000Z | import torch
import torch.nn as nn
from typing import Optional, Dict
from layers import GraphEncoder, TextEncoder, ReprAggregator, EncoderMixin
from utils import masked_mean
class GraphUpdater(EncoderMixin, nn.Module):
def __init__(
self,
hidden_dim: int,
word_emb_dim: int,
num_n... | 38.658273 | 87 | 0.626966 | import torch
import torch.nn as nn
from typing import Optional, Dict
from layers import GraphEncoder, TextEncoder, ReprAggregator, EncoderMixin
from utils import masked_mean
class GraphUpdater(EncoderMixin, nn.Module):
def __init__(
self,
hidden_dim: int,
word_emb_dim: int,
num_n... | true | true |
1c3f0f516f199958c86634276a1edb4466568970 | 1,189 | py | Python | test.py | nathan-gilbert/graphworks-test | 46840288bf58f726cca1f0756fa7e86457dd6768 | [
"Unlicense"
] | null | null | null | test.py | nathan-gilbert/graphworks-test | 46840288bf58f726cca1f0756fa7e86457dd6768 | [
"Unlicense"
] | null | null | null | test.py | nathan-gilbert/graphworks-test | 46840288bf58f726cca1f0756fa7e86457dd6768 | [
"Unlicense"
] | null | null | null | import json
from graphworks.algorithms.basic import find_isolated_vertices
from graphworks.algorithms.basic import generate_edges
from graphworks.export.graphviz_utils import save_to_dot
from graphworks.export.json_utils import save_to_json
from graphworks.graph import Graph
if __name__ == "__main__":
json_graph ... | 23.78 | 70 | 0.668629 | import json
from graphworks.algorithms.basic import find_isolated_vertices
from graphworks.algorithms.basic import generate_edges
from graphworks.export.graphviz_utils import save_to_dot
from graphworks.export.json_utils import save_to_json
from graphworks.graph import Graph
if __name__ == "__main__":
json_graph ... | true | true |
1c3f0f5c4ee5b5fd5a03fa9630986bf135acaa7c | 21,599 | py | Python | py/nightwatch/script.py | sbailey/nightwatch | 09c2218afd529384866e103b96aa6ed555aef85e | [
"BSD-3-Clause"
] | null | null | null | py/nightwatch/script.py | sbailey/nightwatch | 09c2218afd529384866e103b96aa6ed555aef85e | [
"BSD-3-Clause"
] | null | null | null | py/nightwatch/script.py | sbailey/nightwatch | 09c2218afd529384866e103b96aa6ed555aef85e | [
"BSD-3-Clause"
] | null | null | null | """
nightwatch command line script
"""
import os, sys, time, glob
import argparse
import traceback
import subprocess
from desimodel.io import load_tiles
import desispec.io
from . import run, plots, io
from .run import timestamp, get_ncpu
from .qa.runner import QARunner
from desiutil.log import get_logger
import temp... | 40.829868 | 240 | 0.6304 |
import os, sys, time, glob
import argparse
import traceback
import subprocess
from desimodel.io import load_tiles
import desispec.io
from . import run, plots, io
from .run import timestamp, get_ncpu
from .qa.runner import QARunner
from desiutil.log import get_logger
import tempfile
import shutil
import contextlib
i... | true | true |
1c3f0f72545da6d3e28a8e03cb7dc5cd6805e0ef | 16,612 | py | Python | monitor.py | Eternity-luo/JDC | 5356f2ea27490364342dc7a0118455bb6dfab485 | [
"MIT"
] | 8 | 2021-03-12T23:03:42.000Z | 2021-05-06T22:43:49.000Z | monitor.py | Eternity-luo/JDC | 5356f2ea27490364342dc7a0118455bb6dfab485 | [
"MIT"
] | 1 | 2021-07-03T19:07:47.000Z | 2021-07-17T05:27:33.000Z | monitor.py | Eternity-luo/JDC | 5356f2ea27490364342dc7a0118455bb6dfab485 | [
"MIT"
] | 6 | 2021-03-15T12:43:20.000Z | 2021-05-07T02:23:41.000Z | from telethon import TelegramClient, events
import time, os, sys, datetime, requests, random, string, re, json, httpx, asyncio
from jsonpath import jsonpath
import importlib
importlib.reload(sys)
requests.packages.urllib3.disable_warnings()
ckss = 'pt_key=AAJhVrPQADBghACD7FWhN04rKpDsLjchHHP8cUUCfaHBAtYDmzvaFzievcdaI3L... | 40.517073 | 492 | 0.561642 | from telethon import TelegramClient, events
import time, os, sys, datetime, requests, random, string, re, json, httpx, asyncio
from jsonpath import jsonpath
import importlib
importlib.reload(sys)
requests.packages.urllib3.disable_warnings()
ckss = 'pt_key=AAJhVrPQADBghACD7FWhN04rKpDsLjchHHP8cUUCfaHBAtYDmzvaFzievcdaI3L... | true | true |
1c3f10bc81bda7a0b5af1626ea1a5161acb6d1d9 | 537 | py | Python | adv_train/model/mnist_net.py | busycalibrating/Adversarial-Training | e1fe4061f72e1379d9920b02c1cc281e1be2606f | [
"MIT"
] | null | null | null | adv_train/model/mnist_net.py | busycalibrating/Adversarial-Training | e1fe4061f72e1379d9920b02c1cc281e1be2606f | [
"MIT"
] | null | null | null | adv_train/model/mnist_net.py | busycalibrating/Adversarial-Training | e1fe4061f72e1379d9920b02c1cc281e1be2606f | [
"MIT"
] | 1 | 2022-01-31T06:14:41.000Z | 2022-01-31T06:14:41.000Z | import torch.nn as nn
from adv_train.utils import Flatten
def build_model_mnist(device=None):
model = nn.Sequential(
nn.Conv2d(1, 32, 3, padding=1),
nn.ReLU(),
nn.Conv2d(32, 32, 3, padding=1, stride=2),
nn.ReLU(),
nn.Conv2d(32, 64, 3, padding=1),
nn.ReLU(),
... | 23.347826 | 50 | 0.532588 | import torch.nn as nn
from adv_train.utils import Flatten
def build_model_mnist(device=None):
model = nn.Sequential(
nn.Conv2d(1, 32, 3, padding=1),
nn.ReLU(),
nn.Conv2d(32, 32, 3, padding=1, stride=2),
nn.ReLU(),
nn.Conv2d(32, 64, 3, padding=1),
nn.ReLU(),
... | true | true |
1c3f112efb580d4f1117769784b589751471e3b0 | 16,989 | py | Python | mujoco/setup4/main_gailfo.py | EvieQ01/Learning-Feasibility-Different-Dynamics | 73786b11137b8ba9840d00ec4d258c1296b0a595 | [
"MIT"
] | null | null | null | mujoco/setup4/main_gailfo.py | EvieQ01/Learning-Feasibility-Different-Dynamics | 73786b11137b8ba9840d00ec4d258c1296b0a595 | [
"MIT"
] | null | null | null | mujoco/setup4/main_gailfo.py | EvieQ01/Learning-Feasibility-Different-Dynamics | 73786b11137b8ba9840d00ec4d258c1296b0a595 | [
"MIT"
] | null | null | null | import argparse
from itertools import count
import gym
import gym.spaces
import scipy.optimize
import numpy as np
import math
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from models.old_models import *
from replay_memory import Memory
from running_state import ZFilte... | 42.901515 | 206 | 0.660663 | import argparse
from itertools import count
import gym
import gym.spaces
import scipy.optimize
import numpy as np
import math
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from models.old_models import *
from replay_memory import Memory
from running_state import ZFilte... | true | true |
1c3f115aa78e8cbc7c892e6d2132d4943dd4af80 | 1,527 | py | Python | projekt/backend/biljnevrste/biljnevrsteapp/views.py | toni4848/biljnevrste_repo | 8d48a75c67a0208ddad1be78284d653fb2303c94 | [
"MIT"
] | null | null | null | projekt/backend/biljnevrste/biljnevrsteapp/views.py | toni4848/biljnevrste_repo | 8d48a75c67a0208ddad1be78284d653fb2303c94 | [
"MIT"
] | 51 | 2019-04-01T14:56:31.000Z | 2022-03-21T00:35:42.000Z | projekt/backend/biljnevrste/biljnevrsteapp/views.py | toni4848/biljnevrste_repo | 8d48a75c67a0208ddad1be78284d653fb2303c94 | [
"MIT"
] | 14 | 2019-04-02T15:22:06.000Z | 2019-06-09T13:09:40.000Z | from rest_framework import viewsets
from .serializers import *
'''
API endpoint za unos, uredjivanje uporabnih dijelova
'''
class UporabniDioViewSet(viewsets.ModelViewSet):
queryset = UporabniDio.objects.all()
serializer_class = UporabniDioSerializer
'''
API endpint za unos, uredjivanje slika
'''
class ... | 18.39759 | 52 | 0.756385 | from rest_framework import viewsets
from .serializers import *
class UporabniDioViewSet(viewsets.ModelViewSet):
queryset = UporabniDio.objects.all()
serializer_class = UporabniDioSerializer
class SlikaViewSet(viewsets.ModelViewSet):
queryset = Slika.objects.all()
serializer_class = SlikaSerializ... | true | true |
1c3f115fb666122c3ba070c75129db276760345b | 4,123 | py | Python | app/update_scheduler/views.py | AndrewLester/schedule-updates | 37ea9df14f01f7b8e7850a883760d4a692724c83 | [
"MIT"
] | 6 | 2021-02-17T03:23:18.000Z | 2021-04-09T14:35:42.000Z | app/update_scheduler/views.py | AndrewLester/schedule-updates | 37ea9df14f01f7b8e7850a883760d4a692724c83 | [
"MIT"
] | 6 | 2021-03-10T04:04:40.000Z | 2021-12-17T08:13:45.000Z | app/update_scheduler/views.py | AndrewLester/update-scheduler | 37ea9df14f01f7b8e7850a883760d4a692724c83 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
from flask.globals import current_app
from flask_login.utils import login_required
from isodate.duration import Duration
import pytz
from rq.job import Job
from rq.exceptions import NoSuchJobError
from app.update_scheduler.scheduler import schedule_update
from typing impor... | 30.094891 | 92 | 0.634732 | from datetime import date, datetime, timedelta
from flask.globals import current_app
from flask_login.utils import login_required
from isodate.duration import Duration
import pytz
from rq.job import Job
from rq.exceptions import NoSuchJobError
from app.update_scheduler.scheduler import schedule_update
from typing impor... | true | true |
1c3f117b7554b5c24faba0e6bbfc5cd2f0e1466d | 720 | py | Python | mysite/polls/models.py | yangyi-d/django_base | b59543143156c1a011d31026af6de05e79aa0ce3 | [
"MIT"
] | null | null | null | mysite/polls/models.py | yangyi-d/django_base | b59543143156c1a011d31026af6de05e79aa0ce3 | [
"MIT"
] | null | null | null | mysite/polls/models.py | yangyi-d/django_base | b59543143156c1a011d31026af6de05e79aa0ce3 | [
"MIT"
] | null | null | null | from django.db import models
import datetime
# Create your models here.
from django.utils import timezone
class Question(models.Model):
"""问题模型类"""
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('datepublished')
def was_published_recently(self):
now = timez... | 23.225806 | 68 | 0.706944 | from django.db import models
import datetime
from django.utils import timezone
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('datepublished')
def was_published_recently(self):
now = timezone.now()
return now-datetime.tim... | true | true |
1c3f11e69fe04bfb2afc4ce32bfeb9113d316cc8 | 3,109 | py | Python | classes_base/Peca.py | lffloyd/TrabalhoIA1_Domino | b78a9cbc3ff043cedda8118741bc5fbc42ee7010 | [
"MIT"
] | null | null | null | classes_base/Peca.py | lffloyd/TrabalhoIA1_Domino | b78a9cbc3ff043cedda8118741bc5fbc42ee7010 | [
"MIT"
] | null | null | null | classes_base/Peca.py | lffloyd/TrabalhoIA1_Domino | b78a9cbc3ff043cedda8118741bc5fbc42ee7010 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2018 Luiz Felipe de Melo (lffloyd), Vítor Costa (vitorhardoim), Renato Bastos (RenatoBastos33)
#
# 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 restri... | 43.788732 | 120 | 0.685751 | true | true | |
1c3f12aef0a7e4cc86449e49fc4fb21fe710fa91 | 1,579 | py | Python | get_largest_cc.py | uniooo/graph_tools | 5cbd5f69d2a7304225b1126bbf25431cdd5bf5bf | [
"MIT"
] | null | null | null | get_largest_cc.py | uniooo/graph_tools | 5cbd5f69d2a7304225b1126bbf25431cdd5bf5bf | [
"MIT"
] | null | null | null | get_largest_cc.py | uniooo/graph_tools | 5cbd5f69d2a7304225b1126bbf25431cdd5bf5bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
'''
Author: uniooo
Date: 2021-06-01 11:28:56
LastEditors: uniooo
LastEditTime: 2021-06-03 10:15:06
FilePath: /graph_tools/get_largest_cc.py
Description:
'''
import sys
from count_ccs import get_ccs
from collections import Counter
from check_edge_consecutive import GraphChecker
d... | 31.58 | 108 | 0.632046 |
import sys
from count_ccs import get_ccs
from collections import Counter
from check_edge_consecutive import GraphChecker
def get_largest_cc(filename):
cnt, n, cc_id = get_ccs(filename)
if cnt == 1:
print("Only 1 connected components\n")
return
result = Counter(cc_id[1:])
largest_id ... | true | true |
1c3f139daa73f91c5326ea382d5f0a2c6f80ede0 | 11,332 | py | Python | src/relstorage/adapters/mysql/locker.py | mamico/relstorage | 2df5fb721d75efad3395f34f4d6c7c34826bc56c | [
"ZPL-2.1"
] | null | null | null | src/relstorage/adapters/mysql/locker.py | mamico/relstorage | 2df5fb721d75efad3395f34f4d6c7c34826bc56c | [
"ZPL-2.1"
] | null | null | null | src/relstorage/adapters/mysql/locker.py | mamico/relstorage | 2df5fb721d75efad3395f34f4d6c7c34826bc56c | [
"ZPL-2.1"
] | null | null | null | ##############################################################################
#
# Copyright (c) 2009 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | 43.752896 | 103 | 0.677639 | true | true | |
1c3f150a285c70c43f3e81dc32a10b36249db1d5 | 1,442 | py | Python | ftrace/parsers/binder_transaction_buffer_release.py | bagobor/ftrace | a41bfff97447ff6503b80ffc60111cd7e53fed86 | [
"Apache-2.0"
] | 62 | 2016-05-29T15:20:15.000Z | 2022-03-11T11:40:48.000Z | ftrace/parsers/binder_transaction_buffer_release.py | bagobor/ftrace | a41bfff97447ff6503b80ffc60111cd7e53fed86 | [
"Apache-2.0"
] | 2 | 2017-12-12T09:37:40.000Z | 2018-05-09T10:29:05.000Z | ftrace/parsers/binder_transaction_buffer_release.py | bagobor/ftrace | a41bfff97447ff6503b80ffc60111cd7e53fed86 | [
"Apache-2.0"
] | 32 | 2016-08-01T08:33:22.000Z | 2021-11-03T02:18:38.000Z | import re
from ftrace.common import ParserError
from .register import register_parser
from .binder import parse_binder_cmd
from collections import namedtuple
TRACEPOINT = 'binder_transaction_buffer_release'
__all__ = [TRACEPOINT]
#binder_transaction_buffer_release: transaction=135918 data_size=28 offsets_size=0
Bin... | 28.27451 | 112 | 0.701803 | import re
from ftrace.common import ParserError
from .register import register_parser
from .binder import parse_binder_cmd
from collections import namedtuple
TRACEPOINT = 'binder_transaction_buffer_release'
__all__ = [TRACEPOINT]
BinderTransactionBufferReleaseBase = namedtuple(TRACEPOINT,
[
'transaction',
... | true | true |
1c3f16320503ca99d928935dbc29cde267f411f5 | 3,030 | py | Python | Library/Utilities/fftw++-2.05/mpi/testfft2.py | stevend12/SolutioCpp | 6fa8a12207cd1e7e806a8ef5de93dc137c33856e | [
"Apache-2.0"
] | 9 | 2017-06-27T14:04:46.000Z | 2022-02-17T17:38:03.000Z | Library/Utilities/fftw++-2.05/mpi/testfft2.py | stevend12/SolutioCpp | 6fa8a12207cd1e7e806a8ef5de93dc137c33856e | [
"Apache-2.0"
] | null | null | null | Library/Utilities/fftw++-2.05/mpi/testfft2.py | stevend12/SolutioCpp | 6fa8a12207cd1e7e806a8ef5de93dc137c33856e | [
"Apache-2.0"
] | 3 | 2017-06-23T20:10:44.000Z | 2021-01-13T10:09:46.000Z | #!/usr/bin/python -u
import sys # so that we can return a value at the end.
import random # for randum number generators
import time
import getopt
import os.path
from testutils import *
pname = "fft2"
timeout = 300 # cutoff time in seconds
def main(argv):
print "MPI fft2 unit test"
retval = 0
usage = "Us... | 28.584906 | 70 | 0.445875 |
import sys
import random
import time
import getopt
import os.path
from testutils import *
pname = "fft2"
timeout = 300
def main(argv):
print "MPI fft2 unit test"
retval = 0
usage = "Usage:\n"\
"./testfft2.py\n"\
"\t-s\t\tSpecify a short run\n"\
"\t-h\t\tShow usage"... | false | true |
1c3f1699444b065053d57adfdbab207347f98fb0 | 6,786 | py | Python | models/run_gecsmt.py | SnakeA/baselines-emnlp2016 | 59562391e5b2978fce4bd76d9d230847db45d99e | [
"MIT"
] | 76 | 2016-10-15T10:53:13.000Z | 2021-12-28T22:14:56.000Z | models/run_gecsmt.py | SnakeA/baselines-emnlp2016 | 59562391e5b2978fce4bd76d9d230847db45d99e | [
"MIT"
] | 9 | 2016-12-03T16:20:14.000Z | 2019-07-24T12:11:31.000Z | models/run_gecsmt.py | SnakeA/baselines-emnlp2016 | 59562391e5b2978fce4bd76d9d230847db45d99e | [
"MIT"
] | 23 | 2016-11-20T00:15:05.000Z | 2021-09-15T04:23:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import argparse
import yaml
import re
MOSES = "/data/smt/mosesdecoder"
LAZY = "/data/smt/lazy"
SCRIPTS = "/work/gec/repos/baselines-emnlp2016/train/scripts"
THREADS = 16
def main():
args = parse_user_args()
LM, WC, use_sparse = parse_config... | 35.160622 | 84 | 0.574565 |
import os
import sys
import argparse
import yaml
import re
MOSES = "/data/smt/mosesdecoder"
LAZY = "/data/smt/lazy"
SCRIPTS = "/work/gec/repos/baselines-emnlp2016/train/scripts"
THREADS = 16
def main():
args = parse_user_args()
LM, WC, use_sparse = parse_config_ini(args.config)
TOK = "{}/scripts/tok... | false | true |
1c3f19073431df2b28400012e478f30fb7f8f0de | 406 | py | Python | testjtyon.py | SupakornYu/ImageProcessingHW1 | 39e9931b49372a3295513f553a04f7ea717dc9cf | [
"MIT"
] | null | null | null | testjtyon.py | SupakornYu/ImageProcessingHW1 | 39e9931b49372a3295513f553a04f7ea717dc9cf | [
"MIT"
] | null | null | null | testjtyon.py | SupakornYu/ImageProcessingHW1 | 39e9931b49372a3295513f553a04f7ea717dc9cf | [
"MIT"
] | null | null | null |
j = 2.0
for i in range(100):
j*=i+1
j/=32323
print j
print "dfdfdfdfgdfdfdfgdf"
from javax.swing import JButton, JFrame
frame = JFrame('Hello, Jython!',
defaultCloseOperation = JFrame.EXIT_ON_CLOSE,
size = (300, 300)
)
def change_text(event):
print 'Clicked!'
button = JBu... | 16.24 | 58 | 0.657635 |
j = 2.0
for i in range(100):
j*=i+1
j/=32323
print j
print "dfdfdfdfgdfdfdfgdf"
from javax.swing import JButton, JFrame
frame = JFrame('Hello, Jython!',
defaultCloseOperation = JFrame.EXIT_ON_CLOSE,
size = (300, 300)
)
def change_text(event):
print 'Clicked!'
button = JBu... | false | true |
1c3f1a2fe6124f3558400ab87736acd636988b9e | 7,649 | py | Python | simtools/simtel/simtel_runner_array.py | gammasim/gammasim-tools | 0b746254916f4c2e2a3fbd1854c565c3bc90d493 | [
"BSD-3-Clause"
] | 5 | 2020-06-02T09:46:38.000Z | 2022-03-26T16:42:26.000Z | simtools/simtel/simtel_runner_array.py | gammasim/gammasim-tools | 0b746254916f4c2e2a3fbd1854c565c3bc90d493 | [
"BSD-3-Clause"
] | 166 | 2020-04-24T10:22:16.000Z | 2022-03-31T12:51:02.000Z | simtools/simtel/simtel_runner_array.py | gammasim/gammasim-tools | 0b746254916f4c2e2a3fbd1854c565c3bc90d493 | [
"BSD-3-Clause"
] | null | null | null | import logging
import os
from pathlib import Path
import simtools.io_handler as io
import simtools.util.general as gen
from simtools.util import names
from simtools.simtel.simtel_runner import SimtelRunner, InvalidOutputFile
__all__ = ['SimtelRunnerArray']
class SimtelRunnerArray(SimtelRunner):
'''
SimtelRu... | 36.251185 | 97 | 0.6359 | import logging
import os
from pathlib import Path
import simtools.io_handler as io
import simtools.util.general as gen
from simtools.util import names
from simtools.simtel.simtel_runner import SimtelRunner, InvalidOutputFile
__all__ = ['SimtelRunnerArray']
class SimtelRunnerArray(SimtelRunner):
def __init__(
... | true | true |
1c3f1a31f04942811db0866efc38f49a7509460b | 13,577 | py | Python | optibot/casadi.py | AunSiro/optibot | 186c9556473071b583f1ed677e2e1a647aeb0513 | [
"MIT"
] | 1 | 2021-06-01T15:58:45.000Z | 2021-06-01T15:58:45.000Z | optibot/casadi.py | AunSiro/optibot | 186c9556473071b583f1ed677e2e1a647aeb0513 | [
"MIT"
] | null | null | null | optibot/casadi.py | AunSiro/optibot | 186c9556473071b583f1ed677e2e1a647aeb0513 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon May 31 12:52:24 2021
@author: Siro Moreno
sympy2casadi function original author: Joris Gillis
https://gist.github.com/jgillis/80bb594a6c8fcf55891d1d88b12b68b8
"""
import casadi as cas
from casadi import sin, cos
def get_str(x):
return x.__str__()
def list2casadi(va... | 31.945882 | 126 | 0.592399 |
import casadi as cas
from casadi import sin, cos
def get_str(x):
return x.__str__()
def list2casadi(vallist):
return cas.horzcat(*vallist).T
def sympy2casadi(sympy_expr, sympy_var, casadi_var):
from sympy.utilities.lambdify import lambdify
mapping = {
"ImmutableDense... | true | true |
1c3f1ac5e6b0cb7fbf8d419b4d3a085f34c38922 | 6,867 | py | Python | pokecord/dev.py | qenu/pokecord-red | 35007e83297e1bf7430aa318a7d58745e2c1943c | [
"MIT"
] | 9 | 2020-06-06T20:17:01.000Z | 2021-10-10T18:28:54.000Z | pokecord/dev.py | flaree/pokecord-red | 6810b45f3a2608c2726664b5d3d96b90c401e7b1 | [
"MIT"
] | 12 | 2020-07-09T00:32:49.000Z | 2021-11-09T20:21:02.000Z | pokecord/dev.py | qenu/pokecord-red | 35007e83297e1bf7430aa318a7d58745e2c1943c | [
"MIT"
] | 12 | 2020-07-24T15:44:15.000Z | 2022-03-14T10:14:19.000Z | import json
import pprint
from typing import Optional
import discord
import tabulate
from redbot.core import commands
from redbot.core.i18n import Translator
from redbot.core.utils.chat_formatting import *
from .abc import MixinMeta
from .pokemixin import poke
from .statements import *
_ = Translator("Pokecord", __f... | 33.661765 | 121 | 0.541139 | import json
import pprint
from typing import Optional
import discord
import tabulate
from redbot.core import commands
from redbot.core.i18n import Translator
from redbot.core.utils.chat_formatting import *
from .abc import MixinMeta
from .pokemixin import poke
from .statements import *
_ = Translator("Pokecord", __f... | true | true |
1c3f1c778320fa7c201b58bb02189d6858253a62 | 609 | py | Python | spacy_ann/types.py | StanciuMarius/spacy-ann-linker | d889a15b877c153269bc3068c8c4ed32773b182a | [
"MIT"
] | null | null | null | spacy_ann/types.py | StanciuMarius/spacy-ann-linker | d889a15b877c153269bc3068c8c4ed32773b182a | [
"MIT"
] | null | null | null | spacy_ann/types.py | StanciuMarius/spacy-ann-linker | d889a15b877c153269bc3068c8c4ed32773b182a | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from pydantic import BaseModel
class AliasCandidate(BaseModel):
"""A data class representing a candidate alias
that a NER mention may be linked to.
"""
alias: str
similarity: float
class KnowledgeBase... | 21 | 74 | 0.686371 |
from pydantic import BaseModel
class AliasCandidate(BaseModel):
alias: str
similarity: float
class KnowledgeBaseCandidate(BaseModel):
entity: str
context_similarity: float
prior_probability: float
type_label: str
index_vs_kb_type = {
0: 'UNK',
1: 'ORG',
2: 'GPE',
3: 'PER... | true | true |
1c3f1c80099f18839d7e33b327db7ad92b8d4137 | 3,908 | py | Python | tests/bugs/core_1512_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_1512_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_1512_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | #coding:utf-8
#
# id: bugs.core_1512
# title: Connection lost running script
# decription:
# tracker_id: CORE-1512
# min_versions: ['2.5.0']
# versions: 2.5
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 2.5
# resources: None
substitutions... | 30.771654 | 185 | 0.487462 |
import pytest
from firebird.qa import db_factory, isql_act, Action
substitutions_1 = []
init_script_1 = """"""
db_1 = db_factory(page_size=4096, charset='ISO8859_1', sql_dialect=3, init=init_script_1)
test_script_1 = """
-- Confirmed crash on WI-V2.1.7.18553 for: CREATE TABLE FHO_OS(...)
CREAT... | true | true |
1c3f1fed977056deaa2fd347e047dfdb1294474b | 901 | py | Python | language/mentionmemory/utils/custom_types.py | greck2908/language | 61fa7260ac7d690d11ef72ca863e45a37c0bdc80 | [
"Apache-2.0"
] | 1,199 | 2018-10-16T01:30:18.000Z | 2022-03-31T21:05:24.000Z | language/mentionmemory/utils/custom_types.py | greck2908/language | 61fa7260ac7d690d11ef72ca863e45a37c0bdc80 | [
"Apache-2.0"
] | 116 | 2018-10-18T03:31:46.000Z | 2022-03-24T13:40:50.000Z | language/mentionmemory/utils/custom_types.py | greck2908/language | 61fa7260ac7d690d11ef72ca863e45a37c0bdc80 | [
"Apache-2.0"
] | 303 | 2018-10-22T12:35:12.000Z | 2022-03-27T17:38:17.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team 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 ... | 34.653846 | 74 | 0.755827 |
from typing import Any, Callable, Dict, Iterable
import jax.numpy as jnp
Array = jnp.ndarray
PRNGKey = jnp.ndarray
Dtype = Any
Shape = Iterable[int]
InitType = Callable[[PRNGKey, Shape, Dtype], Array]
MetricGroups = Dict[str, Dict[str, Array]]
| true | true |
1c3f2005445b5e5e44f4e6b24656f8c6abadab1b | 2,913 | py | Python | elo_system/elo_recolection_scripts/getTemporalelo.py | rafaOrtega14/tennisStats | 4f4f92532f6437a24e6c51b8aa5ac106b5d25102 | [
"MIT"
] | null | null | null | elo_system/elo_recolection_scripts/getTemporalelo.py | rafaOrtega14/tennisStats | 4f4f92532f6437a24e6c51b8aa5ac106b5d25102 | [
"MIT"
] | null | null | null | elo_system/elo_recolection_scripts/getTemporalelo.py | rafaOrtega14/tennisStats | 4f4f92532f6437a24e6c51b8aa5ac106b5d25102 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import multiprocessing
pd.options.mode.chained_assignment = None
games=pd.read_csv("TrainsetGrass.csv",low_memory=False)
players=pd.read_csv("eloCourt.csv",low_memory=False)
def find_eloplayer(ID):
hard=[]
clay=[]
grass=[]
pos=934959345
for j in range(len(pl... | 37.831169 | 136 | 0.604188 | import pandas as pd
import numpy as np
import multiprocessing
pd.options.mode.chained_assignment = None
games=pd.read_csv("TrainsetGrass.csv",low_memory=False)
players=pd.read_csv("eloCourt.csv",low_memory=False)
def find_eloplayer(ID):
hard=[]
clay=[]
grass=[]
pos=934959345
for j in range(len(pl... | true | true |
1c3f2068c085fd74540f04a5223b2307409fabb5 | 2,835 | py | Python | setup-release.py | namuyan/electrum-fjc | 1a5c4a582f0fcdbaeca2b721ee729f43cd7915a2 | [
"MIT"
] | 1 | 2017-07-06T03:03:25.000Z | 2017-07-06T03:03:25.000Z | setup-release.py | namuyan/electrum-fjc | 1a5c4a582f0fcdbaeca2b721ee729f43cd7915a2 | [
"MIT"
] | null | null | null | setup-release.py | namuyan/electrum-fjc | 1a5c4a582f0fcdbaeca2b721ee729f43cd7915a2 | [
"MIT"
] | null | null | null | """
py2app/py2exe build script for Electrum
Usage (Mac OS X):
python setup.py py2app
Usage (Windows):
python setup.py py2exe
"""
from setuptools import setup
import os
import re
import shutil
import sys
from lib.util import print_error
from lib.version import ELECTRUM_VERSION as version
name = "Electrum... | 30.483871 | 118 | 0.611287 | """
py2app/py2exe build script for Electrum
Usage (Mac OS X):
python setup.py py2app
Usage (Windows):
python setup.py py2exe
"""
from setuptools import setup
import os
import re
import shutil
import sys
from lib.util import print_error
from lib.version import ELECTRUM_VERSION as version
name = "Electrum... | false | true |
1c3f21c6980082d2b5b98180066cf9ba8b94eb50 | 156 | py | Python | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | null | null | null | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | null | null | null | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | 1 | 2021-06-05T10:05:44.000Z | 2021-06-05T10:05:44.000Z | # Copyright (c) 2021, Omid Erfanmanesh, All rights reserved.
class RuntimeMode:
TRAIN = 0
TUNING = 1
CROSS_VAL = 2
FEATURE_IMPORTANCE = 3
| 19.5 | 61 | 0.666667 |
class RuntimeMode:
TRAIN = 0
TUNING = 1
CROSS_VAL = 2
FEATURE_IMPORTANCE = 3
| true | true |
1c3f21e25d49d260b961e83632b06c4e38d57eec | 42,191 | py | Python | pykotor/common/stream.py | NickHugi/PyKotor | cab1089f8a8a135861bef45340203718d39f5e1f | [
"MIT"
] | 1 | 2022-02-21T15:17:28.000Z | 2022-02-21T15:17:28.000Z | pykotor/common/stream.py | NickHugi/PyKotor | cab1089f8a8a135861bef45340203718d39f5e1f | [
"MIT"
] | 1 | 2022-03-12T16:06:23.000Z | 2022-03-12T16:06:23.000Z | pykotor/common/stream.py | NickHugi/PyKotor | cab1089f8a8a135861bef45340203718d39f5e1f | [
"MIT"
] | null | null | null | """
This module holds classes relating to read and write operations.
"""
from __future__ import annotations
import io
import struct
from abc import ABC, abstractmethod
from typing import BinaryIO, Union, TextIO, List, overload, Optional
from pykotor.common.geometry import Vector3, Vector4, Vector2
from pykotor.common.l... | 31.770331 | 120 | 0.572492 | from __future__ import annotations
import io
import struct
from abc import ABC, abstractmethod
from typing import BinaryIO, Union, TextIO, List, overload, Optional
from pykotor.common.geometry import Vector3, Vector4, Vector2
from pykotor.common.language import LocalizedString
def _endian_char(big) -> str:
return... | true | true |
1c3f2211b675a7a05e8ac50df4265131fc2f31c0 | 127 | py | Python | install.py | dmdhrumilmistry/Termux-SSH | 65ba7868a0e8961f9a262a85e79b56f8b8a65b9e | [
"MIT"
] | 5 | 2021-07-17T20:40:42.000Z | 2022-02-27T09:41:19.000Z | install.py | dmdhrumilmistry/Termux-SSH | 65ba7868a0e8961f9a262a85e79b56f8b8a65b9e | [
"MIT"
] | null | null | null | install.py | dmdhrumilmistry/Termux-SSH | 65ba7868a0e8961f9a262a85e79b56f8b8a65b9e | [
"MIT"
] | 1 | 2021-07-17T22:36:39.000Z | 2021-07-17T22:36:39.000Z | #!usr/bin/env python3
from termux import get_user, generate_passwd, install_termux_req
install_termux_req()
generate_passwd()
| 21.166667 | 64 | 0.834646 |
from termux import get_user, generate_passwd, install_termux_req
install_termux_req()
generate_passwd()
| true | true |
1c3f23d96ace4872083b8af2bc17ca07cccb8d00 | 3,082 | py | Python | socialite/jython/Lib/test/test_pkg_jy.py | Wangqge/PowerLog_ae | 8546afbcb9a77d516e8c3f0dfbaf2041a4b888f9 | [
"Apache-2.0"
] | 49 | 2015-03-10T17:34:19.000Z | 2021-11-10T22:23:18.000Z | socialite/jython/Lib/test/test_pkg_jy.py | Wangqge/PowerLog_ae | 8546afbcb9a77d516e8c3f0dfbaf2041a4b888f9 | [
"Apache-2.0"
] | null | null | null | socialite/jython/Lib/test/test_pkg_jy.py | Wangqge/PowerLog_ae | 8546afbcb9a77d516e8c3f0dfbaf2041a4b888f9 | [
"Apache-2.0"
] | 32 | 2015-02-06T12:10:32.000Z | 2019-06-18T03:21:36.000Z | # Test packages (dotted-name import)
# XXX: This test is borrowed from CPython 2.7 as it tickles
# http://bugs.jython.org/issue1871 so it should be removed in Jython 2.7
import sys
import os
import tempfile
import textwrap
import unittest
from test import test_support
# Helpers to create and destroy hierarchies.
de... | 29.352381 | 72 | 0.524984 |
import sys
import os
import tempfile
import textwrap
import unittest
from test import test_support
def cleanout(root):
names = os.listdir(root)
for name in names:
fullname = os.path.join(root, name)
if os.path.isdir(fullname) and not os.path.islink(fullname):
cleanout(fullnam... | true | true |
1c3f2546f93edc21097975e658b41e2c47bd89f7 | 4,392 | py | Python | BackpackTF/currency.py | Epicalert/BackpackTf-API | dca4b3e1e6b2ada5f7357c929bd729d673310b57 | [
"MIT"
] | null | null | null | BackpackTF/currency.py | Epicalert/BackpackTf-API | dca4b3e1e6b2ada5f7357c929bd729d673310b57 | [
"MIT"
] | null | null | null | BackpackTF/currency.py | Epicalert/BackpackTf-API | dca4b3e1e6b2ada5f7357c929bd729d673310b57 | [
"MIT"
] | 1 | 2020-03-15T21:11:33.000Z | 2020-03-15T21:11:33.000Z | class Currency:
#
# Documentation for the backpack.tf API https://backpack.tf/api/index.html#/
#
def __init__(self, apikey=""):
import requests
import json
if apikey == "":
print("Error, you need to specify an API key")
else:
self.api_key = apike... | 32.776119 | 110 | 0.574454 | class Currency:
def __init__(self, apikey=""):
import requests
import json
if apikey == "":
print("Error, you need to specify an API key")
else:
self.api_key = apikey
def getCurrencies(self):
import requests
... | true | true |
1c3f25eeb542dd19eee2427b9f519e968190dd43 | 1,401 | py | Python | tkinter/terminal_like.py | terasakisatoshi/pythonCodes | baee095ecee96f6b5ec6431267cdc6c40512a542 | [
"MIT"
] | null | null | null | tkinter/terminal_like.py | terasakisatoshi/pythonCodes | baee095ecee96f6b5ec6431267cdc6c40512a542 | [
"MIT"
] | null | null | null | tkinter/terminal_like.py | terasakisatoshi/pythonCodes | baee095ecee96f6b5ec6431267cdc6c40512a542 | [
"MIT"
] | null | null | null | import tkinter
from tkinter import *
import subprocess
import os
from os import system as cmd
WINDOW_SIZE = "600x400"
top = tkinter.Tk()
top.geometry(WINDOW_SIZE)
def helloCallBack():
print ("Below is the output from the shell script in terminal")
subprocess.call('perl /projects/tfs/users/$USER/scripts_coverage... | 31.840909 | 98 | 0.745896 | import tkinter
from tkinter import *
import subprocess
import os
from os import system as cmd
WINDOW_SIZE = "600x400"
top = tkinter.Tk()
top.geometry(WINDOW_SIZE)
def helloCallBack():
print ("Below is the output from the shell script in terminal")
subprocess.call('perl /projects/tfs/users/$USER/scripts_coverage... | true | true |
1c3f26c3a61647c9d8ad935235cfb46395852a3b | 3,674 | py | Python | Gse/src/models/serialize/serializable_type.py | lydiaxing/fprime | f6b3e03f89e9aca1614243c9896d4a72aa0cc726 | [
"Apache-2.0"
] | 2 | 2020-09-08T05:39:05.000Z | 2021-05-04T14:58:51.000Z | Gse/src/models/serialize/serializable_type.py | JPLOpenSource/fprime-sw-Rel1.0 | 18364596c24fa369c938ef8758e5aa945ecc6a9b | [
"Apache-2.0"
] | 2 | 2019-02-27T03:17:15.000Z | 2019-03-01T22:34:30.000Z | Gse/src/models/serialize/serializable_type.py | JPLOpenSource/fprime-sw-Rel1.0 | 18364596c24fa369c938ef8758e5aa945ecc6a9b | [
"Apache-2.0"
] | 3 | 2019-02-17T20:41:15.000Z | 2019-02-26T21:06:50.000Z | '''
Created on Dec 18, 2014
@author: tcanham
'''
import struct
from type_exceptions import *
import type_base
import u32_type
import string_type
import enum_type
@type_base.serialize
@type_base.deserialize
class SerializableType(type_base.BaseType):
"""
Representation of the Serializable type (comparable to ... | 30.616667 | 87 | 0.622482 | '''
Created on Dec 18, 2014
@author: tcanham
'''
import struct
from type_exceptions import *
import type_base
import u32_type
import string_type
import enum_type
@type_base.serialize
@type_base.deserialize
class SerializableType(type_base.BaseType):
"""
Representation of the Serializable type (comparable to ... | false | true |
1c3f28246dcadec804bcbfc32bf5b0c6e925821b | 1,238 | py | Python | Python/standardDeviation.py | giandrea77/RExercises | d435e303775b154d4cbbc25f990eb4b23272039d | [
"MIT"
] | null | null | null | Python/standardDeviation.py | giandrea77/RExercises | d435e303775b154d4cbbc25f990eb4b23272039d | [
"MIT"
] | null | null | null | Python/standardDeviation.py | giandrea77/RExercises | d435e303775b154d4cbbc25f990eb4b23272039d | [
"MIT"
] | null | null | null | #
# Exerciese from book Data Science - Sinan Ozdemir
#
# @since : Fri Apr 9 14:41:38 CEST 2021
#
### Calculate standard deviance
#
# Distanza di un punto dei dati rispetto alla media
#
import numpy
temps = [32, 32, 31, 28, 29, 31, 39, 32, 32, 35, 26, 29]
# Calculate mean of values
mean = numpy.mean(temps)
square... | 24.76 | 60 | 0.703554 |
, 35, 26, 29]
mean = numpy.mean(temps)
squared_differences = []
num_items = len(temps)
products = 1
for temperature in temps:
products *= temperature
geometric_mean = products ** (1./num_items)
difference = temperature - mean
squared_difference = difference ** 2
squared... | true | true |
1c3f283673b6f1a01e98e29d842f6d08e7c0768c | 880 | py | Python | common/ciphers/block/counter.py | lukius/mts | 96d3d8b28742a474aca67bfcb079577c878bbb4c | [
"MIT"
] | 2 | 2015-04-04T01:44:11.000Z | 2017-11-04T11:59:27.000Z | common/ciphers/block/counter.py | lukius/mts | 96d3d8b28742a474aca67bfcb079577c878bbb4c | [
"MIT"
] | null | null | null | common/ciphers/block/counter.py | lukius/mts | 96d3d8b28742a474aca67bfcb079577c878bbb4c | [
"MIT"
] | null | null | null | from modes import CTR
from common.tools.endianness import LittleEndian
class CTRModeCounter(object):
def __init__(self, block_size):
self.block_size = block_size if block_size is not None\
else CTR.DEFAULT_BLOCK_SIZE
def count(self, index):
raise NotImpleme... | 27.5 | 73 | 0.663636 | from modes import CTR
from common.tools.endianness import LittleEndian
class CTRModeCounter(object):
def __init__(self, block_size):
self.block_size = block_size if block_size is not None\
else CTR.DEFAULT_BLOCK_SIZE
def count(self, index):
raise NotImpleme... | true | true |
1c3f2a0faae6c5df9633a8467f5fe3dafec0dc15 | 1,911 | py | Python | murano/cmd/engine.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | 1 | 2021-07-28T23:19:49.000Z | 2021-07-28T23:19:49.000Z | murano/cmd/engine.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | null | null | null | murano/cmd/engine.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 28.954545 | 79 | 0.685505 |
import os
import eventlet
if os.name == 'nt':
eventlet.monkey_patch(os=False)
else:
eventlet.monkey_patch()
import sys
from oslo_concurrency import processutils
from oslo_log import log as logging
from oslo_service import service
from murano.common import config
from murano.commo... | true | true |
1c3f2a49078e66fc5cfdd4857b54f8ca97fad00f | 1,788 | py | Python | jdcloud_sdk/services/instancevoucher/apis/ModifyInstanceVoucherAttributeRequest.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | jdcloud_sdk/services/instancevoucher/apis/ModifyInstanceVoucherAttributeRequest.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | jdcloud_sdk/services/instancevoucher/apis/ModifyInstanceVoucherAttributeRequest.py | Tanc009/jdcloud-sdk-python | 8b045c99bc5b73ca7348e950b6f01e03a27982f5 | [
"Apache-2.0"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 ... | 29.8 | 128 | 0.69519 |
from jdcloud_sdk.core.jdcloudrequest import JDCloudRequest
class ModifyInstanceVoucherAttributeRequest(JDCloudRequest):
def __init__(self, parameters, header=None, version="v1"):
super(ModifyInstanceVoucherAttributeRequest, self).__init__(
'/regions/{regionId}/instanceVouche... | true | true |
1c3f2d68127480af3fb83070c185d89fb58175a4 | 6,917 | py | Python | test/test_commands.py | MicrohexHQ/supybot_fixes | f14e51f0379eee641c8b9c80a9259628f509f832 | [
"BSD-3-Clause"
] | 5 | 2016-06-26T01:25:21.000Z | 2021-10-31T06:10:01.000Z | test/test_commands.py | prashantpawar/supybot-rothbot | dc04c133bec01574057a37d105c93c6076daccfc | [
"BSD-3-Clause"
] | 1 | 2015-02-16T16:56:10.000Z | 2015-02-16T16:56:10.000Z | test/test_commands.py | prashantpawar/supybot-rothbot | dc04c133bec01574057a37d105c93c6076daccfc | [
"BSD-3-Clause"
] | 5 | 2015-08-23T22:59:26.000Z | 2021-10-31T06:10:18.000Z | ###
# Copyright (c) 2002-2005, Jeremiah Fincher
# 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 co... | 39.752874 | 79 | 0.590863 |
rom supybot.test import *
from supybot.commands import *
import supybot.irclib as irclib
import supybot.ircmsgs as ircmsgs
import supybot.callbacks as callbacks
class CommandsTestCase(SupyTestCase):
def assertState(self, spec, given, expected, target='test', **kwargs):
msg = ircms... | false | true |
1c3f2d7330211692e7ce6d41afd076ec8b682f77 | 16,747 | py | Python | GUI/PyQt/utils/CNN_main.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 22 | 2018-04-27T21:28:46.000Z | 2021-12-24T06:44:55.000Z | GUI/PyQt/utils/CNN_main.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 81 | 2017-11-09T17:23:15.000Z | 2020-01-28T22:54:13.000Z | GUI/PyQt/utils/CNN_main.py | thomaskuestner/CNNArt | c2fc639dd2ce035f6ca90113290682a0ccd26fb8 | [
"Apache-2.0"
] | 18 | 2017-11-13T16:12:17.000Z | 2020-08-27T10:17:34.000Z | # -*- coding: utf-8 -*-
"""
----------------------------------
Main function for calling the CNNs
----------------------------------
Created on Wed Jan 27 16:57:10 2016
Copyright: 2016, 2017 Thomas Kuestner (thomas.kuestner@med.uni-tuebingen.de) under Apache2 license
@author: Thomas Kuestner
"""
from tensorflow.python.... | 46.519444 | 153 | 0.526482 |
from tensorflow.python.keras.models import load_model
from config.PATH import CNN_PATH
import sys
import numpy as np
import h5py
import scipy.io as sio
import os.path
import argparse
import keras.backend as K
from networks.motion.CNN2D import *
from networks.motion.CNN3D import *
from networks.motion.MNetAr... | true | true |
1c3f2f8cea0a7ff37db06a263707542c416d7769 | 1,614 | py | Python | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/15_features/numtrees_30/rule_22.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/15_features/numtrees_30/rule_22.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/15_features/numtrees_30/rule_22.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | def findDecision(obj): #obj[0]: Passanger, obj[1]: Time, obj[2]: Coupon, obj[3]: Coupon_validity, obj[4]: Gender, obj[5]: Age, obj[6]: Children, obj[7]: Education, obj[8]: Occupation, obj[9]: Income, obj[10]: Bar, obj[11]: Coffeehouse, obj[12]: Restaurant20to50, obj[13]: Direction_same, obj[14]: Distance
# {"feature":... | 37.534884 | 305 | 0.581784 | def findDecision(obj):
if obj[9]<=6:
if obj[0]>1:
if obj[4]>0:
return 'True'
elif obj[4]<=0:
if obj[7]>0:
if obj[5]<=3:
return 'False'
elif obj[5]>3:
return 'True'
else: return 'True'
elif obj[7]<=0:
return 'True'
else: return 'True'
else:... | true | true |
1c3f3071b3c658bb957cf41a58de0fac4bd47b97 | 2,081 | py | Python | tests/python/gaia-ui-tests/gaiatest/tests/functional/ftu/test_ftu_with_tour.py | woslinux/gaia | eb6766d52c64a906101e548550cf09c23dad15e8 | [
"Apache-2.0"
] | 1 | 2019-04-26T21:30:24.000Z | 2019-04-26T21:30:24.000Z | tests/python/gaia-ui-tests/gaiatest/tests/functional/ftu/test_ftu_with_tour.py | woslinux/gaia | eb6766d52c64a906101e548550cf09c23dad15e8 | [
"Apache-2.0"
] | null | null | null | tests/python/gaia-ui-tests/gaiatest/tests/functional/ftu/test_ftu_with_tour.py | woslinux/gaia | eb6766d52c64a906101e548550cf09c23dad15e8 | [
"Apache-2.0"
] | 1 | 2021-09-03T10:18:22.000Z | 2021-09-03T10:18:22.000Z | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from gaiatest import GaiaTestCase
from gaiatest.apps.ftu.app import Ftu
from gaiatest.apps.homescreen.app import Homescr... | 43.354167 | 158 | 0.697261 |
from gaiatest import GaiaTestCase
from gaiatest.apps.ftu.app import Ftu
from gaiatest.apps.homescreen.app import Homescreen
class TestFtu(GaiaTestCase):
def setUp(self):
GaiaTestCase.setUp(self)
self.ftu = Ftu(self.marionette)
self.ftu.launch()
def test_ftu_with_tour(self):
... | true | true |
1c3f308f7b065668e6fc003f90ec9a6cac71a721 | 1,611 | py | Python | Detectors/analyzer.py | marcusbotacin/Anti.Analysis | a92d5850a921b9d76f546af6a1d52e9cf9f658f7 | [
"MIT"
] | 37 | 2017-09-08T18:59:47.000Z | 2022-01-01T07:55:38.000Z | Detectors/analyzer.py | marcusbotacin/Anti.Analysis | a92d5850a921b9d76f546af6a1d52e9cf9f658f7 | [
"MIT"
] | null | null | null | Detectors/analyzer.py | marcusbotacin/Anti.Analysis | a92d5850a921b9d76f546af6a1d52e9cf9f658f7 | [
"MIT"
] | 15 | 2018-02-02T10:45:06.000Z | 2021-03-11T23:54:36.000Z | #!/usr/bin/env python
# Implemented by Vitor Falcão da Rocha
from sys import argv, path
from os import listdir, getcwd
from os.path import isfile, join
from disassembler import Disassembler
class Analyzer:
def __init__(self, n): # n -> Max number of instructions
self.detectors = []
self.impo... | 27.305085 | 93 | 0.633768 |
from sys import argv, path
from os import listdir, getcwd
from os.path import isfile, join
from disassembler import Disassembler
class Analyzer:
def __init__(self, n):
self.detectors = []
self.import_detectors()
self.max_number_of_instructions = n
self.number_of_instructio... | false | true |
1c3f30fcc910ed268fb074d46de85f5729d9d8ae | 859 | py | Python | utils/vocab_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 35 | 2019-07-04T10:13:29.000Z | 2022-02-22T03:41:39.000Z | utils/vocab_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 7 | 2019-11-04T15:34:03.000Z | 2020-06-21T04:30:22.000Z | utils/vocab_utils.py | sciforce/phones-las | f95523fbbdf1dd7f1acce5b25c37b620f3eb8e9b | [
"Apache-2.0"
] | 5 | 2019-07-15T20:09:46.000Z | 2021-08-05T09:55:29.000Z | import tensorflow as tf
import pickle
__all__ = [
'create_vocab_table',
'load_vocab',
'UNK',
'SOS',
'EOS',
'UNK_ID',
'SOS_ID',
'EOS_ID',
]
UNK = '<unk>'
SOS = '<s>'
EOS = '</s>'
UNK_ID = 0
SOS_ID = 1
EOS_ID = 2
def load_vocab(filename):
if not '.pickle' in filename:
with... | 20.452381 | 73 | 0.605355 | import tensorflow as tf
import pickle
__all__ = [
'create_vocab_table',
'load_vocab',
'UNK',
'SOS',
'EOS',
'UNK_ID',
'SOS_ID',
'EOS_ID',
]
UNK = '<unk>'
SOS = '<s>'
EOS = '</s>'
UNK_ID = 0
SOS_ID = 1
EOS_ID = 2
def load_vocab(filename):
if not '.pickle' in filename:
with... | true | true |
1c3f334e33497dd3183a46e03be879ae0cc7ebf6 | 5,664 | py | Python | tf_slim/nets/overfeat.py | adrianc-a/tf-slim | 4d4496e5ad26747f0d9f7b8af754ed73d56cede5 | [
"Apache-2.0"
] | 4 | 2019-11-07T09:20:52.000Z | 2022-01-04T22:38:22.000Z | tf_slim/nets/overfeat.py | adrianc-a/tf-slim | 4d4496e5ad26747f0d9f7b8af754ed73d56cede5 | [
"Apache-2.0"
] | 1 | 2019-12-02T10:10:58.000Z | 2019-12-02T10:10:58.000Z | tf_slim/nets/overfeat.py | adrianc-a/tf-slim | 4d4496e5ad26747f0d9f7b8af754ed73d56cede5 | [
"Apache-2.0"
] | 6 | 2019-11-27T19:25:58.000Z | 2022-01-26T07:54:22.000Z | # coding=utf-8
# Copyright 2016 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 requ... | 42.268657 | 80 | 0.707627 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib import layers
from tensorflow.contrib.framework.python.ops import arg_scope
from tensorflow.contrib.layers.python.layers import layers as layers_lib
from tensorflow.contr... | true | true |
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