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f755ef8efecc43089b5915b9326ba87555971bbe | 414 | py | Python | server/app/wsgi.py | copyit/face-replace | 373d50564b2a870ae002c502db0b276203f296d4 | [
"MIT"
] | 13 | 2020-11-05T20:06:28.000Z | 2020-12-23T02:16:59.000Z | server/app/wsgi.py | copyit/face-replace | 373d50564b2a870ae002c502db0b276203f296d4 | [
"MIT"
] | 1 | 2021-06-08T22:20:59.000Z | 2021-06-08T22:20:59.000Z | server/app/wsgi.py | copyit/face-replace | 373d50564b2a870ae002c502db0b276203f296d4 | [
"MIT"
] | 5 | 2020-11-05T20:06:52.000Z | 2020-12-29T22:51:23.000Z | # wsgi entrypoint for gunicorn
# https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-gunicorn-and-nginx-on-ubuntu-18-04
from app import app
from flask import Flask
if __name__ == "__main__":
# Session(app)
app.debug = True
app.config["SESSION_TYPE"] = "filesystem"
# se... | 29.571429 | 122 | 0.698068 |
from app import app
from flask import Flask
if __name__ == "__main__":
app.debug = True
app.config["SESSION_TYPE"] = "filesystem"
app.run()
| true | true |
f755ef95c8988a4813dbf65b9b1a44f6fd2a1307 | 323 | py | Python | setup.py | pexip/os-pytoml | 9b930248d1f37ee23689e45c9bab6a0d85ae5678 | [
"MIT-0"
] | null | null | null | setup.py | pexip/os-pytoml | 9b930248d1f37ee23689e45c9bab6a0d85ae5678 | [
"MIT-0"
] | null | null | null | setup.py | pexip/os-pytoml | 9b930248d1f37ee23689e45c9bab6a0d85ae5678 | [
"MIT-0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from setuptools import setup
setup(
name='pytoml',
version='0.1.2',
description='A parser for TOML-0.4.0',
author='Martin Vejnár',
author_email='avakar@ratatanek.cz',
url='https://github.com/avakar/pytoml',
license='MIT',
packages=['pytoml'],
... | 17.944444 | 43 | 0.628483 |
from setuptools import setup
setup(
name='pytoml',
version='0.1.2',
description='A parser for TOML-0.4.0',
author='Martin Vejnár',
author_email='avakar@ratatanek.cz',
url='https://github.com/avakar/pytoml',
license='MIT',
packages=['pytoml'],
)
| true | true |
f755f024a50d8a323c1e34e35e2fc527d63451eb | 337 | py | Python | mmdet/models/necks/__init__.py | Qianna00/mmdetection | 31e7dff4c61000002d27117543b85e68d2619b4c | [
"Apache-2.0"
] | 1 | 2021-08-01T08:44:35.000Z | 2021-08-01T08:44:35.000Z | mmdet/models/necks/__init__.py | Qianna00/mmdetection | 31e7dff4c61000002d27117543b85e68d2619b4c | [
"Apache-2.0"
] | null | null | null | mmdet/models/necks/__init__.py | Qianna00/mmdetection | 31e7dff4c61000002d27117543b85e68d2619b4c | [
"Apache-2.0"
] | null | null | null | from .bfp import BFP
from .fpn import FPN
from .fpn_carafe import FPN_CARAFE
from .hrfpn import HRFPN
from .nas_fpn import NASFPN
from .nasfcos_fpn import NASFCOS_FPN
from .pafpn import PAFPN
from .fsr_generator import FSRGenerator
__all__ = [
'FPN', 'BFP', 'HRFPN', 'NASFPN', 'FPN_CARAFE', 'PAFPN', 'NASFCOS_FPN', ... | 25.923077 | 89 | 0.753709 | from .bfp import BFP
from .fpn import FPN
from .fpn_carafe import FPN_CARAFE
from .hrfpn import HRFPN
from .nas_fpn import NASFPN
from .nasfcos_fpn import NASFCOS_FPN
from .pafpn import PAFPN
from .fsr_generator import FSRGenerator
__all__ = [
'FPN', 'BFP', 'HRFPN', 'NASFPN', 'FPN_CARAFE', 'PAFPN', 'NASFCOS_FPN', ... | true | true |
f755f0ec7000ef5c3af9412c9ed292eb3f3344a3 | 3,409 | py | Python | apps/ACL/forms.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | apps/ACL/forms.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | apps/ACL/forms.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.models import Permission, Group
from django.db.models import Q
from django.utils.translation import ugettext as _
from med_social.utils import slugify
from med_social.fields import MultiSelectizeModelField, SelectizeMultiInput
from med_social.forms.base import Deletabl... | 35.510417 | 104 | 0.62951 | from django import forms
from django.contrib.auth.models import Permission, Group
from django.db.models import Q
from django.utils.translation import ugettext as _
from med_social.utils import slugify
from med_social.fields import MultiSelectizeModelField, SelectizeMultiInput
from med_social.forms.base import Deletabl... | true | true |
f755f234a8942f5412b6cb04664319cc30e92454 | 1,326 | py | Python | theoops/rules/brew_install.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | theoops/rules/brew_install.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | theoops/rules/brew_install.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | import os
import re
from theoops.utils import get_closest, replace_argument
from theoops.specific.brew import get_brew_path_prefix, brew_available
enabled_by_default = brew_available
def _get_formulas():
# Formulas are based on each local system's status
try:
brew_path_prefix = get_brew_path_prefix()... | 30.837209 | 79 | 0.677225 | import os
import re
from theoops.utils import get_closest, replace_argument
from theoops.specific.brew import get_brew_path_prefix, brew_available
enabled_by_default = brew_available
def _get_formulas():
try:
brew_path_prefix = get_brew_path_prefix()
brew_formula_path = brew_path_prefix + '/... | true | true |
f755f27395b0d5c2d94fbda186111dfe5b5fd86f | 5,994 | py | Python | DockerENT/docker_plugins/docker_file_info.py | laozhudetui/DockerENT | 8c369e503ca9b48889032d959e5ec7f50da0bb78 | [
"MIT"
] | 125 | 2020-09-03T07:23:08.000Z | 2021-12-06T03:19:35.000Z | DockerENT/docker_plugins/docker_file_info.py | laozhudetui/DockerENT | 8c369e503ca9b48889032d959e5ec7f50da0bb78 | [
"MIT"
] | 14 | 2020-06-26T04:23:04.000Z | 2020-07-04T06:17:13.000Z | DockerENT/docker_plugins/docker_file_info.py | laozhudetui/DockerENT | 8c369e503ca9b48889032d959e5ec7f50da0bb78 | [
"MIT"
] | 18 | 2020-07-05T05:08:58.000Z | 2021-08-15T16:25:18.000Z | """Docker file-system-info scan plugin."""
from DockerENT.utils import utils
import docker
import logging
import json
_log = logging.getLogger(__name__)
_plugin_name_ = 'files-info'
def scan(container, output_queue, audit=False, audit_queue=None):
"""Docker file-system-info plugin scan.
:param container: ... | 33.116022 | 152 | 0.547214 | from DockerENT.utils import utils
import docker
import logging
import json
_log = logging.getLogger(__name__)
_plugin_name_ = 'files-info'
def scan(container, output_queue, audit=False, audit_queue=None):
res = {}
_log.info('Starting {} Plugin ...'.format(_plugin_name_))
api_client = docker.APIClient... | true | true |
f755f2d59ebed1dd329b1d22ce45a5ae2e52e444 | 3,097 | py | Python | test_dlen.py | Endika/dlen | 48e954934c0ec8768bb85a2087c37068c4d70456 | [
"MIT"
] | null | null | null | test_dlen.py | Endika/dlen | 48e954934c0ec8768bb85a2087c37068c4d70456 | [
"MIT"
] | null | null | null | test_dlen.py | Endika/dlen | 48e954934c0ec8768bb85a2087c37068c4d70456 | [
"MIT"
] | null | null | null | import dlen.dlen as dlen
def test_blank_console():
"""Test blank in command line."""
assert dlen.main() is None
def test_blank():
"""Test blank."""
assert dlen.DefLen(files_content=['']).show_console is False
def test_good_def():
"""Test good def."""
test_input = [(
'def demo_good_... | 26.245763 | 68 | 0.549564 | import dlen.dlen as dlen
def test_blank_console():
assert dlen.main() is None
def test_blank():
assert dlen.DefLen(files_content=['']).show_console is False
def test_good_def():
test_input = [(
'def demo_good_test():\n'
' # line1\n'
' # line2\n'
' # line3\n'
... | true | true |
f755f4b87d0f755ce6266eeefd832731ae9932db | 5,257 | py | Python | tests/cmd/subcommands/test_update.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | null | null | null | tests/cmd/subcommands/test_update.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | null | null | null | tests/cmd/subcommands/test_update.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | null | null | null | # Joint copyright:
# - Copyright 2015 Hewlett-Packard Development Company, L.P.
#
# 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... | 41.070313 | 85 | 0.687274 |
# of actions by the JJB library, usually through interaction with the
# python-jenkins library.
import os
import six
from tests.base import mock
from tests.cmd.test_cmd import CmdTestsBase
@mock.patch("jenkins_jobs.builder.JenkinsManager.get_plugins_info", mock.MagicMock)
class UpdateTests(CmdTests... | true | true |
f755f6a744fe58e225f35cad02632d111a30568e | 371 | py | Python | Aula07/chef010.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | Aula07/chef010.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | Aula07/chef010.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | # Crie um programa que leia quanto dinheiro uma pessoa tem na carteira e mostre quantos dólares ela pode comprar.
# Considere US$1.00 = R$3.27.
reais = float(input("Quantos reais você tem na carteira? R$"))
cotdol = float(input("Qual a cotação do dólar hoje? 1$ == R$"))
dolares = reais / cotdol
print("Com R${:.2f} v... | 37.1 | 113 | 0.700809 |
reais = float(input("Quantos reais você tem na carteira? R$"))
cotdol = float(input("Qual a cotação do dólar hoje? 1$ == R$"))
dolares = reais / cotdol
print("Com R${:.2f} você pode comprar ${:.2f}.".format(reais, dolares))
| true | true |
f755f85b0fae902dd9a513b5ac13addf46dd31f9 | 1,199 | py | Python | ilearn/TranSearch/config.py | PTYin/ESRT | 4d3e5c523cef7bd15ea8ce10e5cf8b7e05ad2d5c | [
"BSD-2-Clause"
] | null | null | null | ilearn/TranSearch/config.py | PTYin/ESRT | 4d3e5c523cef7bd15ea8ce10e5cf8b7e05ad2d5c | [
"BSD-2-Clause"
] | null | null | null | ilearn/TranSearch/config.py | PTYin/ESRT | 4d3e5c523cef7bd15ea8ce10e5cf8b7e05ad2d5c | [
"BSD-2-Clause"
] | null | null | null | class Config:
def __init__(self, dataset, main_path, stop_file, processed_path):
# choose dataset name
self.dataset = dataset
# paths
self.main_path = main_path
self.stop_file = stop_file
self.processed_path = processed_path
self.full_path = processed_path ... | 39.966667 | 86 | 0.673895 | class Config:
def __init__(self, dataset, main_path, stop_file, processed_path):
self.dataset = dataset
self.main_path = main_path
self.stop_file = stop_file
self.processed_path = processed_path
self.full_path = processed_path + '{}_full.csv'.format(datas... | true | true |
f755fa22e221d36a1a1f5d1ebea90e8b294bde31 | 1,646 | py | Python | murano/tests/unit/packages/versions/test_hot_v1.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | 1 | 2021-07-28T23:19:49.000Z | 2021-07-28T23:19:49.000Z | murano/tests/unit/packages/versions/test_hot_v1.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | null | null | null | murano/tests/unit/packages/versions/test_hot_v1.py | ISCAS-VDI/murano-base | 34287bd9109b32a2bb0960c0428fe402dee6d9b2 | [
"Apache-2.0"
] | null | null | null | #
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 35.782609 | 78 | 0.659174 |
import imghdr
import os
import murano.packages.load_utils as load_utils
import murano.tests.unit.base as test_base
class TestHotV1(test_base.MuranoTestCase):
def test_supplier_info_load(self):
package_dir = os.path.abspath(
os.path.join(__file__, '../../test_packages/test.hot.v... | true | true |
f755fa5c5120517509b6a8bf180e9e90f869b313 | 7,299 | py | Python | src/apps/proxy/purpleserver/proxy/tests/test_pickup.py | blueprin4/purplship-server | e4817d6f6fb358adb10eab81153cf564fdcbc784 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/apps/proxy/purpleserver/proxy/tests/test_pickup.py | blueprin4/purplship-server | e4817d6f6fb358adb10eab81153cf564fdcbc784 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/apps/proxy/purpleserver/proxy/tests/test_pickup.py | blueprin4/purplship-server | e4817d6f6fb358adb10eab81153cf564fdcbc784 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import json
from unittest.mock import patch, ANY
from django.urls import reverse
from rest_framework import status
from purplship.core.models import PickupDetails, ConfirmationDetails, ChargeDetails
from purpleserver.core.tests import APITestCase
class TesPickup(APITestCase):
def test_schedule_pickup(self):
... | 26.16129 | 83 | 0.564872 | import json
from unittest.mock import patch, ANY
from django.urls import reverse
from rest_framework import status
from purplship.core.models import PickupDetails, ConfirmationDetails, ChargeDetails
from purpleserver.core.tests import APITestCase
class TesPickup(APITestCase):
def test_schedule_pickup(self):
... | true | true |
f755fac5d9aee10579e5afc235c491e99bff0f18 | 17,872 | py | Python | magneticalc/SamplingVolume.py | shredEngineer/MagnetiCalc | bfccb8b6ef9a4642d30b2f0639b0ab41784598ad | [
"0BSD"
] | 25 | 2020-10-24T09:21:25.000Z | 2022-03-22T08:23:44.000Z | magneticalc/SamplingVolume.py | shredEngineer/MagnetiCalc | bfccb8b6ef9a4642d30b2f0639b0ab41784598ad | [
"0BSD"
] | 8 | 2021-02-08T17:49:04.000Z | 2022-01-09T18:19:37.000Z | magneticalc/SamplingVolume.py | shredEngineer/MagnetiCalc | bfccb8b6ef9a4642d30b2f0639b0ab41784598ad | [
"0BSD"
] | 2 | 2020-12-30T11:02:49.000Z | 2021-12-30T12:35:39.000Z | """ Sampling volume module. """
# ISC License
#
# Copyright (c) 2020–2021, Paul Wilhelm, M. Sc. <anfrage@paulwilhelm.de>
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission noti... | 36.698152 | 120 | 0.529376 |
from typing import Tuple, List, Optional
import numpy as np
from PyQt5.QtCore import QThread
from magneticalc.Assert_Dialog import Assert_Dialog
from magneticalc.Debug import Debug
from magneticalc.Theme import Theme
class SamplingVolume:
Debug_Constraints = False
def __init__(self, re... | true | true |
f755fb86e3e9dfadd4caa6c5d4fc67ede5747e5e | 959 | py | Python | ProxyPools/flask_api/flask_api.py | fst034356/crawler | 98f0c1a129b3b5b77fe88971f4f0c6aae5a8964f | [
"MIT"
] | 92 | 2017-03-06T06:32:49.000Z | 2020-04-05T02:14:56.000Z | ProxyPools/flask_api/flask_api.py | GeraldDoubleJ/crawler | ab068b1b4d8d00336bb11cea0860244e0817e472 | [
"MIT"
] | 1 | 2018-06-03T10:38:26.000Z | 2018-09-04T09:17:40.000Z | ProxyPools/flask_api/flask_api.py | GeraldDoubleJ/crawler | ab068b1b4d8d00336bb11cea0860244e0817e472 | [
"MIT"
] | 58 | 2017-04-09T11:18:40.000Z | 2020-03-23T11:20:17.000Z | # coding=utf-8
# !/usr/bin/python3
from flask import Flask, jsonify, request
from manage.manageProxy import Proxymanager
app = Flask(__name__)
api_list = {
'get': u'get an usable proxy',
'refresh': u'refresh proxy pool',
'get_all': u'get all proxy from proxy pool',
'delete?proxy=127.0.0.1:8080': u'd... | 18.803922 | 61 | 0.666319 |
from flask import Flask, jsonify, request
from manage.manageProxy import Proxymanager
app = Flask(__name__)
api_list = {
'get': u'get an usable proxy',
'refresh': u'refresh proxy pool',
'get_all': u'get all proxy from proxy pool',
'delete?proxy=127.0.0.1:8080': u'delete an unable proxy',
}
proxym... | true | true |
f755fc4b063dc1233a6a9c7cb729fcfc17d80772 | 370 | py | Python | farms/migrations/0005_auto_20201002_2314.py | protohaus/django-timescaledb-graphql-composition | 436adee91ff2ca433f63c616bc7fbd566d57498f | [
"MIT"
] | null | null | null | farms/migrations/0005_auto_20201002_2314.py | protohaus/django-timescaledb-graphql-composition | 436adee91ff2ca433f63c616bc7fbd566d57498f | [
"MIT"
] | null | null | null | farms/migrations/0005_auto_20201002_2314.py | protohaus/django-timescaledb-graphql-composition | 436adee91ff2ca433f63c616bc7fbd566d57498f | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-02 23:14
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('farms', '0004_auto_20201002_2301'),
]
operations = [
migrations.RenameField(
model_name='datapoint',
old_name='date_type',
... | 19.473684 | 47 | 0.591892 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('farms', '0004_auto_20201002_2301'),
]
operations = [
migrations.RenameField(
model_name='datapoint',
old_name='date_type',
new_name='data_type',
),
... | true | true |
f755fc4eb8009c1695a6b619f91c0f026f2028c4 | 10,198 | py | Python | contrib/python/pytest/_pytest/skipping.py | HeyLey/catboost | f472aed90604ebe727537d9d4a37147985e10ec2 | [
"Apache-2.0"
] | 6,989 | 2017-07-18T06:23:18.000Z | 2022-03-31T15:58:36.000Z | contrib/python/pytest/_pytest/skipping.py | HeyLey/catboost | f472aed90604ebe727537d9d4a37147985e10ec2 | [
"Apache-2.0"
] | 1,978 | 2017-07-18T09:17:58.000Z | 2022-03-31T14:28:43.000Z | contrib/python/pytest/_pytest/skipping.py | HeyLey/catboost | f472aed90604ebe727537d9d4a37147985e10ec2 | [
"Apache-2.0"
] | 1,228 | 2017-07-18T09:03:13.000Z | 2022-03-29T05:57:40.000Z | """ support for skip/xfail functions and markers. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from _pytest.config import hookimpl
from _pytest.mark.evaluate import MarkEvaluator
from _pytest.outcomes import fail
from _pytest.outcomes import skip
from... | 34.107023 | 91 | 0.618455 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from _pytest.config import hookimpl
from _pytest.mark.evaluate import MarkEvaluator
from _pytest.outcomes import fail
from _pytest.outcomes import skip
from _pytest.outcomes import xfail
def pytest_addoption(... | true | true |
f755fc5b74c608daf39f0686c5a17c7b2531403f | 2,440 | py | Python | tests/test_parametric_components/test_center_column_shield_flat_top_circular.py | zmarkan/paramak | ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba | [
"MIT"
] | 9 | 2019-12-28T16:48:49.000Z | 2020-05-20T13:38:49.000Z | tests/test_parametric_components/test_center_column_shield_flat_top_circular.py | zmarkan/paramak | ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba | [
"MIT"
] | 8 | 2019-08-23T10:17:19.000Z | 2020-05-21T18:47:22.000Z | tests/test_parametric_components/test_center_column_shield_flat_top_circular.py | zmarkan/paramak | ecf9a46394adb4d6bb5744000ec6e2f74c30f2ba | [
"MIT"
] | 1 | 2020-05-07T16:14:26.000Z | 2020-05-07T16:14:26.000Z |
import unittest
import paramak
class TestCenterColumnShieldFlatTopCircular(unittest.TestCase):
def setUp(self):
self.test_shape = paramak.CenterColumnShieldFlatTopCircular(
height=600, arc_height=400, inner_radius=100, mid_radius=150, outer_radius=200)
def test_default_parameters(self)... | 34.857143 | 91 | 0.618033 |
import unittest
import paramak
class TestCenterColumnShieldFlatTopCircular(unittest.TestCase):
def setUp(self):
self.test_shape = paramak.CenterColumnShieldFlatTopCircular(
height=600, arc_height=400, inner_radius=100, mid_radius=150, outer_radius=200)
def test_default_parameters(self)... | true | true |
f755fcaadca5e331b3087fb2453a8aeabb4711ff | 2,319 | py | Python | tests/unit/helpers/test_document_builder.py | BenGardiner/strictdoc | c927872a8f080ca1f86cdb7e99767fb25398dbd5 | [
"Apache-2.0"
] | null | null | null | tests/unit/helpers/test_document_builder.py | BenGardiner/strictdoc | c927872a8f080ca1f86cdb7e99767fb25398dbd5 | [
"Apache-2.0"
] | 3 | 2022-02-21T10:57:01.000Z | 2022-02-21T13:22:23.000Z | tests/unit/helpers/test_document_builder.py | BenGardiner/strictdoc | c927872a8f080ca1f86cdb7e99767fb25398dbd5 | [
"Apache-2.0"
] | null | null | null | from strictdoc.backend.sdoc.document_reference import DocumentReference
from strictdoc.backend.sdoc.models.document import Document
from strictdoc.backend.sdoc.models.document_config import DocumentConfig
from strictdoc.backend.sdoc.models.object_factory import SDocObjectFactory
from strictdoc.backend.sdoc.models.refer... | 34.61194 | 77 | 0.664511 | from strictdoc.backend.sdoc.document_reference import DocumentReference
from strictdoc.backend.sdoc.models.document import Document
from strictdoc.backend.sdoc.models.document_config import DocumentConfig
from strictdoc.backend.sdoc.models.object_factory import SDocObjectFactory
from strictdoc.backend.sdoc.models.refer... | true | true |
f755fcaff4d7f1e8da88b566f47517988593c88b | 3,332 | py | Python | socfaker/useragent.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | socfaker/useragent.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | socfaker/useragent.py | atstpls/soc-faker | 119fcb9c4329a918ef9001ac5eaa36251b862bf0 | [
"MIT"
] | null | null | null | import json, requests, datetime, random, os
from bs4 import BeautifulSoup
__USER_AGENT_URL__ = 'http://www.useragentstring.com/pages/useragentstring.php?name={}'
class UserAgent(object):
__DATA_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), 'data', 'useragent' + '.json'))
BROWSER_LIST = ['... | 35.827957 | 108 | 0.558824 | import json, requests, datetime, random, os
from bs4 import BeautifulSoup
__USER_AGENT_URL__ = 'http://www.useragentstring.com/pages/useragentstring.php?name={}'
class UserAgent(object):
__DATA_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), 'data', 'useragent' + '.json'))
BROWSER_LIST = ['... | true | true |
f755fd6cf44431aa18b5bd57fd06cc23f32cd32c | 253 | py | Python | server/sucursal/urls.py | UM-2021/speect-to-text-app | 76c64cf5adf9a26c1c867de1bb47dbc4ae2c0bc0 | [
"Apache-2.0"
] | null | null | null | server/sucursal/urls.py | UM-2021/speect-to-text-app | 76c64cf5adf9a26c1c867de1bb47dbc4ae2c0bc0 | [
"Apache-2.0"
] | 15 | 2021-04-21T22:51:33.000Z | 2021-06-14T14:21:33.000Z | server/sucursal/urls.py | UM-2021/speect-to-text-app | 76c64cf5adf9a26c1c867de1bb47dbc4ae2c0bc0 | [
"Apache-2.0"
] | null | null | null | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r'', views.SucursalViewSet)
app_name = 'sucursal'
urlpatterns = [
path('', include(router.urls))
]
| 21.083333 | 48 | 0.758893 | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r'', views.SucursalViewSet)
app_name = 'sucursal'
urlpatterns = [
path('', include(router.urls))
]
| true | true |
f755fd8b740f6490143ce2b8737bfadc09d3b3b9 | 182,905 | py | Python | numpy/ma/tests/test_core.py | chunweiyuan/numpy | bfe43b26969231cfe8196868280c07f0c0aa8f50 | [
"BSD-3-Clause"
] | null | null | null | numpy/ma/tests/test_core.py | chunweiyuan/numpy | bfe43b26969231cfe8196868280c07f0c0aa8f50 | [
"BSD-3-Clause"
] | null | null | null | numpy/ma/tests/test_core.py | chunweiyuan/numpy | bfe43b26969231cfe8196868280c07f0c0aa8f50 | [
"BSD-3-Clause"
] | null | null | null | # pylint: disable-msg=W0400,W0511,W0611,W0612,W0614,R0201,E1102
"""Tests suite for MaskedArray & subclassing.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
"""
from __future__ import division, absolute_import, print_function
__author__ = "Pierre GF Gerard-Marchant"
import warnings
import pickle
i... | 38.057636 | 81 | 0.513901 |
from __future__ import division, absolute_import, print_function
__author__ = "Pierre GF Gerard-Marchant"
import warnings
import pickle
import operator
import itertools
from functools import reduce
import numpy as np
import numpy.ma.core
import numpy.core.fromnumeric as fromnumeric
import numpy.core.umath as umath... | true | true |
f755fd9e849d760c9b43ead6bece0013c59161f8 | 3,455 | py | Python | datasets.py | bulletPr/label-efficient-unsupervised-learning | 8e320dd96dab8de97d304e0fb6550cf3ae2aa022 | [
"MIT"
] | null | null | null | datasets.py | bulletPr/label-efficient-unsupervised-learning | 8e320dd96dab8de97d304e0fb6550cf3ae2aa022 | [
"MIT"
] | null | null | null | datasets.py | bulletPr/label-efficient-unsupervised-learning | 8e320dd96dab8de97d304e0fb6550cf3ae2aa022 | [
"MIT"
] | null | null | null | from __future__ import print_function
import torch.utils.data as data
from PIL import Image
import os
import os.path
import errno
import torch
import json
import codecs
import numpy as np
import sys
import torchvision.transforms as transforms
import argparse
import json
#Part Dataset
class PartDataset(data.Dataset):
... | 33.872549 | 120 | 0.588133 | from __future__ import print_function
import torch.utils.data as data
from PIL import Image
import os
import os.path
import errno
import torch
import json
import codecs
import numpy as np
import sys
import torchvision.transforms as transforms
import argparse
import json
class PartDataset(data.Dataset):
def __init... | true | true |
f755fdbc901267d93d60dfa7c77e6844c5dbbf41 | 486 | py | Python | foundation/templatetags/extrafilters.py | tbone255/foundation | ca76fdd9b5345fead2d200f829eb67ba77bc865e | [
"MIT"
] | 1 | 2019-03-14T17:02:46.000Z | 2019-03-14T17:02:46.000Z | foundation/templatetags/extrafilters.py | tbone255/foundation | ca76fdd9b5345fead2d200f829eb67ba77bc865e | [
"MIT"
] | null | null | null | foundation/templatetags/extrafilters.py | tbone255/foundation | ca76fdd9b5345fead2d200f829eb67ba77bc865e | [
"MIT"
] | null | null | null | from django.template.defaultfilters import register
@register.filter
def cell_count(inline_form):
"""Returns the number of cells used in a tabular inline"""
count = 1 # Hidden cell with hidden 'id' field
for fieldset in inline_form:
# Loop through all the fields (one per cell)
for line in... | 28.588235 | 62 | 0.639918 | from django.template.defaultfilters import register
@register.filter
def cell_count(inline_form):
count = 1
for fieldset in inline_form:
for line in fieldset:
for _ in line:
count += 1
if inline_form.formset.can_delete:
count += 1
return ... | true | true |
f755ff7496b7e3a21d9e5090ca91aaaa8788edd4 | 22,330 | py | Python | tests/kernels_test.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 18 | 2017-04-19T09:17:19.000Z | 2021-05-24T08:53:28.000Z | tests/kernels_test.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 8 | 2017-06-11T17:46:35.000Z | 2021-06-07T10:49:10.000Z | tests/kernels_test.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 10 | 2017-07-19T18:29:37.000Z | 2020-11-12T22:06:45.000Z | import numpy as np
import scipy.stats as stats
import scipy.linalg
import pytest
import open_cp.kernels as testmod
import open_cp.data
import unittest.mock as mock
import shapely.geometry
def slow_gaussian_kernel_new(pts, mean, var):
"""Test case where `pts`, `mean`, `var` are all of shape 2."""
assert(len(pts... | 37.154742 | 110 | 0.61142 | import numpy as np
import scipy.stats as stats
import scipy.linalg
import pytest
import open_cp.kernels as testmod
import open_cp.data
import unittest.mock as mock
import shapely.geometry
def slow_gaussian_kernel_new(pts, mean, var):
assert(len(pts.shape) == 2 and len(mean.shape) == 2 and len(var.shape) == 2)
... | true | true |
f755ffb96df6b28f1f1efc92a47997ac8800f5ce | 1,141 | py | Python | backend/research_note/migrations/0001_initial.py | andy23512/research-note-system | 42a9d67de07a0f32615c4b9c6505b46e7c852f79 | [
"MIT"
] | null | null | null | backend/research_note/migrations/0001_initial.py | andy23512/research-note-system | 42a9d67de07a0f32615c4b9c6505b46e7c852f79 | [
"MIT"
] | 6 | 2021-06-04T23:01:14.000Z | 2022-02-26T19:57:11.000Z | backend/research_note/migrations/0001_initial.py | andy23512/research-note-system | 42a9d67de07a0f32615c4b9c6505b46e7c852f79 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.7 on 2019-11-10 08:49
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Issue',
fields=[
... | 32.6 | 116 | 0.56617 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Issue',
fields=[
('id', models.AutoField(auto_created=Tru... | true | true |
f75600a3b5ffa94ff6a4136a0e344746949adbd2 | 1,606 | py | Python | nova/tests/cast_as_call.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 7 | 2015-09-22T11:27:16.000Z | 2015-11-02T12:33:46.000Z | nova/tests/cast_as_call.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 9 | 2015-05-20T11:20:17.000Z | 2017-07-27T08:21:33.000Z | nova/tests/cast_as_call.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 13 | 2015-05-05T09:34:04.000Z | 2017-11-08T02:03:46.000Z | # Copyright 2013 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 32.12 | 78 | 0.67995 |
import fixtures
from oslo import messaging
class CastAsCall(fixtures.Fixture):
def __init__(self, stubs):
super(CastAsCall, self).__init__()
self.stubs = stubs
@staticmethod
def _stub_out(stubs, obj):
orig_prepare = obj.prepare
def prepare(self, *args, **k... | true | true |
f75601b14f116a0908dfdee2768300df6aca648f | 1,040 | py | Python | ml/mxnet/tutorial/02_create_neural_net.py | rrbb014/rrbb-playground | 5487078b882c4f0df3bacc7f55c47216bc201c04 | [
"MIT"
] | null | null | null | ml/mxnet/tutorial/02_create_neural_net.py | rrbb014/rrbb-playground | 5487078b882c4f0df3bacc7f55c47216bc201c04 | [
"MIT"
] | null | null | null | ml/mxnet/tutorial/02_create_neural_net.py | rrbb014/rrbb-playground | 5487078b882c4f0df3bacc7f55c47216bc201c04 | [
"MIT"
] | null | null | null | from mxnet import nd
from mxnet.gluon import nn
net = nn.Sequential()
net.add(
nn.Conv2D(
channels=6,
kernel_size=5,
activation='relu'),
nn.MaxPool2D(pool_size=2, strides=2),
nn.Conv2D(
channels=16,
kernel_size=3,
activation='relu'),
nn.MaxPool2D(pool_siz... | 21.22449 | 47 | 0.577885 | from mxnet import nd
from mxnet.gluon import nn
net = nn.Sequential()
net.add(
nn.Conv2D(
channels=6,
kernel_size=5,
activation='relu'),
nn.MaxPool2D(pool_size=2, strides=2),
nn.Conv2D(
channels=16,
kernel_size=3,
activation='relu'),
nn.MaxPool2D(pool_siz... | true | true |
f756024d4a19be4cb6cfff49ba2b678d72f87799 | 1,202 | py | Python | src/dataset/__init__.py | KimythAnly/PyTorch-Voice-Conversion | a09cb26f3520da7d33595fbf65c3f7020bd49a0b | [
"MIT"
] | null | null | null | src/dataset/__init__.py | KimythAnly/PyTorch-Voice-Conversion | a09cb26f3520da7d33595fbf65c3f7020bd49a0b | [
"MIT"
] | null | null | null | src/dataset/__init__.py | KimythAnly/PyTorch-Voice-Conversion | a09cb26f3520da7d33595fbf65c3f7020bd49a0b | [
"MIT"
] | null | null | null | import os
import importlib
import logging
from glob import glob
root = os.path.dirname(__file__)
logger = logging.getLogger(__name__)
INVALID_MODULES = {}
def _get_valid_datasets():
datasets = glob(os.path.join(root, '*.py'))
valid_datasets = []
for dataset in datasets:
basename = os.path.basen... | 25.041667 | 76 | 0.671381 | import os
import importlib
import logging
from glob import glob
root = os.path.dirname(__file__)
logger = logging.getLogger(__name__)
INVALID_MODULES = {}
def _get_valid_datasets():
datasets = glob(os.path.join(root, '*.py'))
valid_datasets = []
for dataset in datasets:
basename = os.path.basen... | true | true |
f7560358105b9f628a47c96b9fb5d7d95388b5aa | 17,067 | py | Python | python3-alpha/python3-src/Lib/heapq.py | stormtheh4ck3r/python-for-android | b9ea9161392f60566b81482b1e25cd77004d5c45 | [
"Apache-2.0"
] | 4 | 2016-05-04T07:05:22.000Z | 2020-09-24T00:21:05.000Z | python3-alpha/python3-src/Lib/heapq.py | stormtheh4ck3r/python-for-android | b9ea9161392f60566b81482b1e25cd77004d5c45 | [
"Apache-2.0"
] | null | null | null | python3-alpha/python3-src/Lib/heapq.py | stormtheh4ck3r/python-for-android | b9ea9161392f60566b81482b1e25cd77004d5c45 | [
"Apache-2.0"
] | 1 | 2018-12-12T03:06:17.000Z | 2018-12-12T03:06:17.000Z | """Heap queue algorithm (a.k.a. priority queue).
Heaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for
all k, counting elements from 0. For the sake of comparison,
non-existing elements are considered to be infinite. The interesting
property of a heap is that a[0] is always its smallest element.
Usag... | 39.234483 | 81 | 0.653601 |
__about__ = """Heap queues
[explanation by François Pinard]
Heaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for
all k, counting elements from 0. For the sake of comparison,
non-existing elements are considered to be infinite. The interesting
property of a heap is that a[0] is always its smallest... | true | true |
f756039c41aae8336aae2056bcf3f2f1335dbd24 | 16,307 | py | Python | .history/src/Simulador_20200712191028.py | eduardodut/Trabalho_final_estatistica_cd | fbedbbea6bdd7a79e1d62030cde0fab4e93fc338 | [
"MIT"
] | null | null | null | .history/src/Simulador_20200712191028.py | eduardodut/Trabalho_final_estatistica_cd | fbedbbea6bdd7a79e1d62030cde0fab4e93fc338 | [
"MIT"
] | null | null | null | .history/src/Simulador_20200712191028.py | eduardodut/Trabalho_final_estatistica_cd | fbedbbea6bdd7a79e1d62030cde0fab4e93fc338 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from Matriz_esferica import Matriz_esferica
from Individuo import Individuo, Fabrica_individuo
import random
from itertools import permutations
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from scipy.sparse import csr_matrix, lil_matrix
import math... | 42.355844 | 160 | 0.657141 | import pandas as pd
import numpy as np
from Matriz_esferica import Matriz_esferica
from Individuo import Individuo, Fabrica_individuo
import random
from itertools import permutations
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from scipy.sparse import csr_matrix, lil_matrix
import math... | true | true |
f75603f334a453f000de76adfe256c47a88f3386 | 759 | py | Python | packages/3d_plotting/examples/viz_volume_structure.py | jorisvandenbossche/scipy-lecture-notes | 689105f90db641eb1e1f82692f4d8b8492e8245d | [
"CC-BY-3.0"
] | 3 | 2016-06-14T02:37:55.000Z | 2019-08-08T16:52:09.000Z | packages/3d_plotting/examples/viz_volume_structure.py | jorisvandenbossche/scipy-lecture-notes | 689105f90db641eb1e1f82692f4d8b8492e8245d | [
"CC-BY-3.0"
] | null | null | null | packages/3d_plotting/examples/viz_volume_structure.py | jorisvandenbossche/scipy-lecture-notes | 689105f90db641eb1e1f82692f4d8b8492e8245d | [
"CC-BY-3.0"
] | 1 | 2021-05-02T09:15:57.000Z | 2021-05-02T09:15:57.000Z | """
Use Mayavi to visualize the structure of a VolumeImg
"""
from mayavi import mlab
import numpy as np
x, y, z = np.mgrid[-5:5:64j, -5:5:64j, -5:5:64j]
data = x*x*0.5 + y*y + z*z*2.0
mlab.figure(1, fgcolor=(0, 0, 0), bgcolor=(1, 1, 1))
mlab.clf()
src = mlab.pipeline.scalar_field(x, y, z, data)
mlab.pipeline.surf... | 26.172414 | 75 | 0.557312 |
from mayavi import mlab
import numpy as np
x, y, z = np.mgrid[-5:5:64j, -5:5:64j, -5:5:64j]
data = x*x*0.5 + y*y + z*z*2.0
mlab.figure(1, fgcolor=(0, 0, 0), bgcolor=(1, 1, 1))
mlab.clf()
src = mlab.pipeline.scalar_field(x, y, z, data)
mlab.pipeline.surface(src, opacity=0.4)
src2 = mlab.pipeline.scalar_field(x[::... | true | true |
f7560403848ec8a2b99fbbc865c6046b1add35cb | 323 | py | Python | arc079_a.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | arc079_a.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | arc079_a.py | hythof/atc | 12cb94ebe693e1f469ce0d982bc2924b586552cd | [
"CC0-1.0"
] | null | null | null | from collections import defaultdict
N,M,*AB = [int(x) for x in open(0).read().split()]
d = defaultdict(lambda: [])
for i in range(0, len(AB), 2):
a=AB[i]
b=AB[i+1]
d[a].append(b)
d[b].append(a)
for second in d[1]:
if N in d[second]:
print('POSSIBLE')
break
else:
print('IMPOSSIBLE... | 21.533333 | 50 | 0.572755 | from collections import defaultdict
N,M,*AB = [int(x) for x in open(0).read().split()]
d = defaultdict(lambda: [])
for i in range(0, len(AB), 2):
a=AB[i]
b=AB[i+1]
d[a].append(b)
d[b].append(a)
for second in d[1]:
if N in d[second]:
print('POSSIBLE')
break
else:
print('IMPOSSIBLE... | true | true |
f756042cdbb1423a61ad0bf73c1ab34ce4864142 | 6,810 | py | Python | salt-2016.3.3/salt/states/ini_manage.py | stephane-martin/salt-debian-packaging | 4ec73750ba67bfe35a5bc0faa110f2bdec5c6a66 | [
"Apache-2.0"
] | null | null | null | salt-2016.3.3/salt/states/ini_manage.py | stephane-martin/salt-debian-packaging | 4ec73750ba67bfe35a5bc0faa110f2bdec5c6a66 | [
"Apache-2.0"
] | null | null | null | salt-2016.3.3/salt/states/ini_manage.py | stephane-martin/salt-debian-packaging | 4ec73750ba67bfe35a5bc0faa110f2bdec5c6a66 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Manage ini files
================
:maintainer: <akilesh1597@gmail.com>
:maturity: new
:depends: re
:platform: all
'''
__virtualname__ = 'ini'
def __virtual__():
'''
Only load if the ini module is available
'''
return __virtualname__ if 'ini.set_option' in __salt__ else ... | 32.122642 | 94 | 0.536417 |
__virtualname__ = 'ini'
def __virtual__():
return __virtualname__ if 'ini.set_option' in __salt__ else False
def options_present(name, sections=None):
ret = {'name': name,
'changes': {},
'result': True,
'comment': 'No anomaly detected'
}
if __opts__['test']... | true | true |
f75604522b4ddee998356a8ee625c77fe2159071 | 1,493 | py | Python | tools/numpy_numerology.py | HEPonHPC/pandana3-prototype | d7656e93a16a3c992c3d21e65915fed2935dd8fc | [
"Apache-2.0"
] | null | null | null | tools/numpy_numerology.py | HEPonHPC/pandana3-prototype | d7656e93a16a3c992c3d21e65915fed2935dd8fc | [
"Apache-2.0"
] | null | null | null | tools/numpy_numerology.py | HEPonHPC/pandana3-prototype | d7656e93a16a3c992c3d21e65915fed2935dd8fc | [
"Apache-2.0"
] | null | null | null | import itertools
def flattened_ranges(range_lengths):
return list(itertools.chain.from_iterable(range(n) for n in range_lengths))
def take(n, gen):
"""Take the first n items from the generator gen. Return a list of that many items
and the resulting state of the generator."""
lst = list(itertools.isl... | 33.931818 | 93 | 0.689886 | import itertools
def flattened_ranges(range_lengths):
return list(itertools.chain.from_iterable(range(n) for n in range_lengths))
def take(n, gen):
lst = list(itertools.islice(gen, n))
return lst, gen
def flatten_list(seq):
return sum(seq, [])
def repeated_indices(repetition_counts):
return ... | true | true |
f756060a2f54dd0ee4355913d99851904db354f2 | 16,538 | py | Python | Cinder/Rocky/fs_flow.py | Huawei/FusionStorage_OpenStack_Driver | babc45731aee85ed387f0743ae697bce54384e30 | [
"Apache-2.0"
] | 11 | 2019-05-25T02:30:51.000Z | 2021-12-08T06:32:44.000Z | Cinder/Stein/fs_flow.py | Huawei/FusionStorage_OpenStack_Driver | babc45731aee85ed387f0743ae697bce54384e30 | [
"Apache-2.0"
] | 3 | 2019-12-03T04:59:50.000Z | 2021-09-30T09:43:00.000Z | Cinder/Rocky/fs_flow.py | Huawei/FusionStorage_OpenStack_Driver | babc45731aee85ed387f0743ae697bce54384e30 | [
"Apache-2.0"
] | 5 | 2019-09-23T05:49:03.000Z | 2021-12-08T06:32:59.000Z | # Copyright (c) 2019 Huawei Technologies Co., Ltd.
# 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
#
# ... | 40.336585 | 79 | 0.640464 |
from oslo_log import log as logging
import taskflow.engines
from taskflow.patterns import linear_flow
from taskflow import task
from taskflow.types import failure
from cinder import exception
from cinder.i18n import _
from cinder.volume.drivers.fusionstorage import fs_utils
LOG = logging.getLogger(__... | true | true |
f756080dd17b380d004420c045a8744411c0e93d | 6,245 | py | Python | fairseq/fairseq/tasks/hubert_pretraining.py | zhaoguangxiang/OFA | cc1719df2713f0a046f34acb0afd8782e08ea6be | [
"Apache-2.0"
] | 16,259 | 2018-05-02T02:31:30.000Z | 2022-03-31T21:50:23.000Z | fairseq/fairseq/tasks/hubert_pretraining.py | zhaoguangxiang/OFA | cc1719df2713f0a046f34acb0afd8782e08ea6be | [
"Apache-2.0"
] | 3,863 | 2018-05-02T13:42:39.000Z | 2022-03-31T19:03:32.000Z | fairseq/fairseq/tasks/hubert_pretraining.py | zhaoguangxiang/OFA | cc1719df2713f0a046f34acb0afd8782e08ea6be | [
"Apache-2.0"
] | 4,796 | 2018-05-02T07:55:51.000Z | 2022-03-31T14:46:45.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import logging
import os
import sy... | 31.862245 | 102 | 0.631705 |
import logging
import os
import sys
from typing import Dict, List, Optional, Tuple
import numpy as np
from dataclasses import dataclass, field
from fairseq.data import Dictionary, HubertDataset
from fairseq.dataclass.configs import FairseqDataclass
from fairseq.tasks import register_task
from fairseq.tasks.fai... | true | true |
f756096bfb07a0ddfccecf4c5a90a427387a98a5 | 2,250 | py | Python | shopping_ingredient/views.py | leichandra/mealplanshop | a10fb2f2d2967d6a00f27452d180cd1b302bc23a | [
"MIT"
] | null | null | null | shopping_ingredient/views.py | leichandra/mealplanshop | a10fb2f2d2967d6a00f27452d180cd1b302bc23a | [
"MIT"
] | 3 | 2021-02-24T05:18:03.000Z | 2021-03-11T04:07:03.000Z | shopping_ingredient/views.py | leichandra/mealplanshop | a10fb2f2d2967d6a00f27452d180cd1b302bc23a | [
"MIT"
] | null | null | null | from django.core.exceptions import ValidationError
from django.forms import modelformset_factory
from django.http import JsonResponse
from django.shortcuts import render, redirect
from django.views.decorators.csrf import csrf_exempt
from rest_framework.decorators import api_view
from rest_framework.response import Res... | 38.793103 | 107 | 0.751111 | from django.core.exceptions import ValidationError
from django.forms import modelformset_factory
from django.http import JsonResponse
from django.shortcuts import render, redirect
from django.views.decorators.csrf import csrf_exempt
from rest_framework.decorators import api_view
from rest_framework.response import Res... | true | true |
f75609a8cad6af56b5d22f793ba87507ffda5104 | 8,514 | py | Python | DevnagriLipiTrainer/Archive/TensorFlow4_ConvNN - V6.py | arvindershinh/DevnagriLipi | 77539f2ecae68809bea5286a2113f1b723ae0a0f | [
"MIT"
] | null | null | null | DevnagriLipiTrainer/Archive/TensorFlow4_ConvNN - V6.py | arvindershinh/DevnagriLipi | 77539f2ecae68809bea5286a2113f1b723ae0a0f | [
"MIT"
] | null | null | null | DevnagriLipiTrainer/Archive/TensorFlow4_ConvNN - V6.py | arvindershinh/DevnagriLipi | 77539f2ecae68809bea5286a2113f1b723ae0a0f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 28 22:26:40 2018
@author: Arvinder Shinh
"""
import tensorflow as tf
from PIL import Image
import numpy as np
import os
from tensorflow import saved_model as sm
imageFiles=os.listdir('image')
SerializedImgContainer=[]
LabelContainer=[]
for f in imageFiles:
if f.end... | 35.327801 | 148 | 0.672657 |
import tensorflow as tf
from PIL import Image
import numpy as np
import os
from tensorflow import saved_model as sm
imageFiles=os.listdir('image')
SerializedImgContainer=[]
LabelContainer=[]
for f in imageFiles:
if f.endswith('.jpg'):
fname, fext = os.path.splitext(f)
label = 0 if fname == 'ka' else 1
... | true | true |
f7560a8961d3b437ef58d428b156b8312f804971 | 3,090 | py | Python | networks/layers/spectral_norm.py | google-research/ibc | c2f6775418c3d7b1ffd0e822fc0050c834030d15 | [
"Apache-2.0"
] | 180 | 2021-11-05T19:34:29.000Z | 2022-03-30T00:54:43.000Z | networks/layers/spectral_norm.py | google-research/ibc | c2f6775418c3d7b1ffd0e822fc0050c834030d15 | [
"Apache-2.0"
] | 5 | 2021-11-08T21:13:19.000Z | 2022-03-17T08:42:03.000Z | networks/layers/spectral_norm.py | google-research/ibc | c2f6775418c3d7b1ffd0e822fc0050c834030d15 | [
"Apache-2.0"
] | 16 | 2021-11-07T05:43:06.000Z | 2022-02-12T10:30:09.000Z | # coding=utf-8
# Copyright 2022 The Reach ML Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | 35.517241 | 77 | 0.650809 |
import tensorflow.compat.v2 as tf
K = tf.keras.backend
class DenseSN(tf.keras.layers.Dense):
def build(self, input_shape):
assert len(input_shape) >= 2
input_dim = input_shape[-1]
self.kernel = self.add_weight(shape=(input_dim, self.units),
initialize... | true | true |
f7560ac87442f845341be61a4d786505b9cbe7a9 | 4,448 | py | Python | algs/nsga_net/model/micro_encoding.py | Beautyya/BenchENA | 5f5491614fc2f00ca26dc29f35f44c334db4718c | [
"MIT"
] | 1 | 2022-01-21T07:56:13.000Z | 2022-01-21T07:56:13.000Z | algs/nsga_net/model/micro_encoding.py | Beautyya/BenchENA | 5f5491614fc2f00ca26dc29f35f44c334db4718c | [
"MIT"
] | 1 | 2022-02-24T06:07:27.000Z | 2022-02-24T06:07:27.000Z | BenchENAS_python_package/algs/nsga_net/model/micro_encoding.py | benchenas/BenchENAS | 776cd1dd035d73c4af369d0106d010b932f64782 | [
"MIT"
] | 1 | 2022-01-20T07:36:37.000Z | 2022-01-20T07:36:37.000Z | # NASNet Search Space https://arxiv.org/pdf/1707.07012.pdf
# code modified from DARTS https://github.com/quark0/darts
import numpy as np
from collections import namedtuple
import torch
from algs.nsga_net.model.micro_models import NetworkCIFAR as Network
Genotype = namedtuple('Genotype', 'normal normal_concat reduce r... | 30.054054 | 83 | 0.604541 |
import numpy as np
from collections import namedtuple
import torch
from algs.nsga_net.model.micro_models import NetworkCIFAR as Network
Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')
Genotype_norm = namedtuple('Genotype', 'normal normal_concat')
Genotype_redu = namedtuple('Genotype',... | true | true |
f7560b1c778d030b263cc66c094260e60e2ea46a | 45 | py | Python | CADRE/battery_dymos/__init__.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | CADRE/battery_dymos/__init__.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | CADRE/battery_dymos/__init__.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | from .battery_soc_comp import BatterySOCComp
| 22.5 | 44 | 0.888889 | from .battery_soc_comp import BatterySOCComp
| true | true |
f7560c887c895be37435fbb146afac4e56314c70 | 1,219 | py | Python | travitia_talk/enums.py | Fogapod/travitia-talk | bc4dfc8175f63e40a323def1f0d5cca3385dc457 | [
"MIT"
] | null | null | null | travitia_talk/enums.py | Fogapod/travitia-talk | bc4dfc8175f63e40a323def1f0d5cca3385dc457 | [
"MIT"
] | null | null | null | travitia_talk/enums.py | Fogapod/travitia-talk | bc4dfc8175f63e40a323def1f0d5cca3385dc457 | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2021 Eugene
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distri... | 35.852941 | 78 | 0.772765 |
from enum import Enum
class Emotion(Enum):
neutral = "neutral"
sadness = "sadness"
fear = "fear"
joy = "joy"
anger = "anger"
| true | true |
f7560c9f8981a8462afe0070d17a81372212c0dd | 1,416 | py | Python | jobbing/models_remote/working_area.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | null | null | null | jobbing/models_remote/working_area.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | null | null | null | jobbing/models_remote/working_area.py | davidall-amdocs/jobbing | b13311da07606366dfbe2eb737483a5820038557 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from jobbing.models.base_model_ import Model
from jobbing import util
class WorkingArea(Model):
def __init__(self,
working_area_id:int = None,
working_area_mun... | 26.222222 | 102 | 0.762712 |
from __future__ import absolute_import
from datetime import date, datetime
from typing import List, Dict
from jobbing.models.base_model_ import Model
from jobbing import util
class WorkingArea(Model):
def __init__(self,
working_area_id:int = None,
working_area_municipality:int = None):
self.swagger... | true | true |
f7560df8be5ad5184e16224f34c0268b8ef196a4 | 12,738 | py | Python | ue4docker/infrastructure/BuildConfiguration.py | e1d1s1/ue4-docker | 3d19ab811b340b14027723942155ffe076893005 | [
"MIT"
] | null | null | null | ue4docker/infrastructure/BuildConfiguration.py | e1d1s1/ue4-docker | 3d19ab811b340b14027723942155ffe076893005 | [
"MIT"
] | null | null | null | ue4docker/infrastructure/BuildConfiguration.py | e1d1s1/ue4-docker | 3d19ab811b340b14027723942155ffe076893005 | [
"MIT"
] | null | null | null | from .DockerUtils import DockerUtils
from .PackageUtils import PackageUtils
from .WindowsUtils import WindowsUtils
import humanfriendly, os, platform, random
from pkg_resources import parse_version
# Import the `semver` package even when the conflicting `node-semver` package is present
semver = PackageUtils.importFile... | 49.181467 | 232 | 0.740462 | from .DockerUtils import DockerUtils
from .PackageUtils import PackageUtils
from .WindowsUtils import WindowsUtils
import humanfriendly, os, platform, random
from pkg_resources import parse_version
semver = PackageUtils.importFile('semver', os.path.join(PackageUtils.getPackageLocation('semver'), 'semver.py'))
DEFAU... | true | true |
f7560e6c6f2cffef71f837780bc97501e078a478 | 18,559 | py | Python | sync/sync.py | vaikas/website-2 | b57417551e339275d542cd6547daa3f4cae2be30 | [
"Apache-2.0"
] | 51 | 2019-03-13T10:56:02.000Z | 2021-11-07T14:01:08.000Z | sync/sync.py | vaikas/website-2 | b57417551e339275d542cd6547daa3f4cae2be30 | [
"Apache-2.0"
] | 357 | 2019-03-12T09:06:30.000Z | 2022-03-28T13:37:14.000Z | sync/sync.py | vaikas/website-2 | b57417551e339275d542cd6547daa3f4cae2be30 | [
"Apache-2.0"
] | 89 | 2019-03-11T18:02:42.000Z | 2022-03-21T10:29:15.000Z | #!/usr/bin/env python
# Copyright 2020 The Tekton Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 38.030738 | 114 | 0.663775 |
import copy
import fnmatch
import json
import logging
import markdown
from multiprocessing import Pool
import os
import os.path
import re
import sys
from urllib.error import URLError
from urllib.parse import urlparse, urljoin, urlunparse
from bs4 import BeautifulSoup
import click
import git
from ji... | true | true |
f75610577fb6c3b92e8861c4728d28d5d57ca186 | 612 | py | Python | tweet/migrations/0002_tweet_author.py | jkube38/twitterclone | f25f2cdd81dcb0e2f12e8511c31f46cd0f1ea40f | [
"MIT"
] | null | null | null | tweet/migrations/0002_tweet_author.py | jkube38/twitterclone | f25f2cdd81dcb0e2f12e8511c31f46cd0f1ea40f | [
"MIT"
] | null | null | null | tweet/migrations/0002_tweet_author.py | jkube38/twitterclone | f25f2cdd81dcb0e2f12e8511c31f46cd0f1ea40f | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-04 05:27
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('tweet', '0001_initial'),
migrations.swappable_dependency(settin... | 25.5 | 139 | 0.671569 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('tweet', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | true | true |
f756126b7f3881fc91e840846cf286ed830cc573 | 273 | py | Python | tests/artificial/transf_Difference/trend_Lag1Trend/cycle_12/ar_12/test_artificial_1024_Difference_Lag1Trend_12_12_20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/artificial/transf_Difference/trend_Lag1Trend/cycle_12/ar_12/test_artificial_1024_Difference_Lag1Trend_12_12_20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/artificial/transf_Difference/trend_Lag1Trend/cycle_12/ar_12/test_artificial_1024_Difference_Lag1Trend_12_12_20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12); | 39 | 168 | 0.736264 | import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12); | true | true |
f756136ecbcad05f8d54744817d121c613249436 | 1,056 | py | Python | unpack/unpack.py | jakiki6/unpacker | 0704762156b45a8def8a814eb7f7d4eb721ed86b | [
"MIT"
] | 4 | 2021-03-13T15:40:51.000Z | 2021-04-21T17:18:09.000Z | unpack/unpack.py | jakiki6/unpacker | 0704762156b45a8def8a814eb7f7d4eb721ed86b | [
"MIT"
] | null | null | null | unpack/unpack.py | jakiki6/unpacker | 0704762156b45a8def8a814eb7f7d4eb721ed86b | [
"MIT"
] | null | null | null | #!/bin/env python3
import argparse, os
import fileformats, romfs, exefs, slb2, scecaf, self, ncch, ncsd
modes = {
"guess": fileformats.guess,
"romfs": romfs.process,
"exefs": exefs.process,
"slb2": slb2.process,
"scecaf": scecaf.process,
"self": self.process,
"ncch": ncch.process,
"nc... | 27.789474 | 93 | 0.66572 |
import argparse, os
import fileformats, romfs, exefs, slb2, scecaf, self, ncch, ncsd
modes = {
"guess": fileformats.guess,
"romfs": romfs.process,
"exefs": exefs.process,
"slb2": slb2.process,
"scecaf": scecaf.process,
"self": self.process,
"ncch": ncch.process,
"ncsd": ncsd.process
... | true | true |
f75614968b121ca1b4932959783c8ed5c4d54451 | 1,502 | py | Python | wbb/utils/downloader.py | stylishsuryaa/JohnShelby | 714d5f2a3306c9f15fe568e26b7fb63f46682168 | [
"MIT"
] | null | null | null | wbb/utils/downloader.py | stylishsuryaa/JohnShelby | 714d5f2a3306c9f15fe568e26b7fb63f46682168 | [
"MIT"
] | 1 | 2021-08-06T11:28:55.000Z | 2021-08-06T11:28:55.000Z | wbb/utils/downloader.py | stylishsuryaa/JohnShelby | 714d5f2a3306c9f15fe568e26b7fb63f46682168 | [
"MIT"
] | 1 | 2021-10-05T19:47:05.000Z | 2021-10-05T19:47:05.000Z | from os.path import abspath as absolute_path
from time import time
import aiofiles
from wbb import aiohttpsession as session
from wbb.core.tasks import add_task
def ensure_status(status_code: int):
if status_code < 200 or status_code >= 300:
raise Exception(f"HttpProcessingError: {status_code}")
async... | 23.84127 | 62 | 0.635153 | from os.path import abspath as absolute_path
from time import time
import aiofiles
from wbb import aiohttpsession as session
from wbb.core.tasks import add_task
def ensure_status(status_code: int):
if status_code < 200 or status_code >= 300:
raise Exception(f"HttpProcessingError: {status_code}")
async... | true | true |
f7561726394175de1424f96464e3a6eb658f87ac | 12,965 | py | Python | fabfile.py | nathanj/heltour | 14c6e926e02e1c035c9037955af5673c5012d16c | [
"MIT"
] | null | null | null | fabfile.py | nathanj/heltour | 14c6e926e02e1c035c9037955af5673c5012d16c | [
"MIT"
] | null | null | null | fabfile.py | nathanj/heltour | 14c6e926e02e1c035c9037955af5673c5012d16c | [
"MIT"
] | null | null | null | import os
import sys
import datetime
import strabulous
from fabric.api import (
local,
sudo,
lcd,
env,
hosts,
put,
run,
get,
settings,
shell_env,
)
from fabric import colors
from fabric.contrib.console import confirm
from baste import (
DiffCommand,
Git,
OrderedDict... | 39.769939 | 231 | 0.579329 | import os
import sys
import datetime
import strabulous
from fabric.api import (
local,
sudo,
lcd,
env,
hosts,
put,
run,
get,
settings,
shell_env,
)
from fabric import colors
from fabric.contrib.console import confirm
from baste import (
DiffCommand,
Git,
OrderedDict... | true | true |
f7561806d22b174b0586c9dbcfcde61b970f6199 | 928 | py | Python | server/runchecks.py | NiveditJain/CS311-Project | deac88940b913956d03e9c605c0008f996a16ed2 | [
"Apache-2.0"
] | 1 | 2020-10-20T22:31:12.000Z | 2020-10-20T22:31:12.000Z | server/runchecks.py | NiveditJain/CS311-Project | deac88940b913956d03e9c605c0008f996a16ed2 | [
"Apache-2.0"
] | 4 | 2020-10-04T08:28:20.000Z | 2020-10-05T18:01:22.000Z | server/runchecks.py | NiveditJain/muZik | deac88940b913956d03e9c605c0008f996a16ed2 | [
"Apache-2.0"
] | null | null | null | # checking all settings
import settings
import warnings
print('Running SETTING Checks!')
if type(settings.PORT) is not int:
raise Exception('settings.PORT must be an integer')
if settings.PORT < 0:
raise Exception('settings.PORT Value cannot be negative')
if settings.PORT < 1024:
warnings.warn('You are ... | 29.935484 | 88 | 0.755388 |
import settings
import warnings
print('Running SETTING Checks!')
if type(settings.PORT) is not int:
raise Exception('settings.PORT must be an integer')
if settings.PORT < 0:
raise Exception('settings.PORT Value cannot be negative')
if settings.PORT < 1024:
warnings.warn('You are using a "Well Known Por... | true | true |
f75618bf900c6c2d1d02319910edcc36bda5bcf0 | 8,283 | py | Python | Project1/Code/training configs/TTA/final_convnext_l_test_TTA_4.py | AccSrd/NTU_MSAI_AI6126_AdvancedComputerVision | cc7516e903f080cc88180eed29835b611811eb1f | [
"Apache-2.0"
] | 1 | 2022-03-14T14:26:21.000Z | 2022-03-14T14:26:21.000Z | Project1/Code/training configs/TTA/final_convnext_l_test_TTA_4.py | AccSrd/NTU_MSAI_AI6126_AdvancedComputerVision | cc7516e903f080cc88180eed29835b611811eb1f | [
"Apache-2.0"
] | null | null | null | Project1/Code/training configs/TTA/final_convnext_l_test_TTA_4.py | AccSrd/NTU_MSAI_AI6126_AdvancedComputerVision | cc7516e903f080cc88180eed29835b611811eb1f | [
"Apache-2.0"
] | null | null | null | norm_cfg = dict(type='BN', requires_grad=True)
custom_imports = dict(imports='mmcls.models', allow_failed_imports=False)
checkpoint_file = 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-xlarge_3rdparty_in21k_20220301-08aa5ddc.pth'
model = dict(
type='EncoderDecoder',
pretrained... | 36.488987 | 143 | 0.548835 | norm_cfg = dict(type='BN', requires_grad=True)
custom_imports = dict(imports='mmcls.models', allow_failed_imports=False)
checkpoint_file = 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-xlarge_3rdparty_in21k_20220301-08aa5ddc.pth'
model = dict(
type='EncoderDecoder',
pretrained... | true | true |
f7561951403deb5f5fa4d71b9e84b6b7a1761eb6 | 4,577 | py | Python | recipes/squirrel/all/conanfile.py | AntonHorbach/conan-center-index | 5791577e80fa4724abc8deb04fa0cb4376d02ba9 | [
"MIT"
] | 1 | 2021-11-11T03:07:13.000Z | 2021-11-11T03:07:13.000Z | recipes/squirrel/all/conanfile.py | AntonHorbach/conan-center-index | 5791577e80fa4724abc8deb04fa0cb4376d02ba9 | [
"MIT"
] | null | null | null | recipes/squirrel/all/conanfile.py | AntonHorbach/conan-center-index | 5791577e80fa4724abc8deb04fa0cb4376d02ba9 | [
"MIT"
] | null | null | null | from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
import functools
import os
required_conan_version = ">=1.43.0"
class SquirrelConan(ConanFile):
name = "squirrel"
description = "Squirrel is a high level imperative, object-oriented programming " \
... | 41.609091 | 125 | 0.646056 | from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
import functools
import os
required_conan_version = ">=1.43.0"
class SquirrelConan(ConanFile):
name = "squirrel"
description = "Squirrel is a high level imperative, object-oriented programming " \
... | true | true |
f75619962cb4f24a048b39dce88c913d51e38943 | 2,422 | py | Python | tests/test_format/test_fasta.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | null | null | null | tests/test_format/test_fasta.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | null | null | null | tests/test_format/test_fasta.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | 1 | 2020-05-04T02:44:00.000Z | 2020-05-04T02:44:00.000Z | #!/usr/bin/env python
"""Tests for FASTA sequence format writer.
"""
from unittest import TestCase, main
from cogent3.core.alignment import Alignment
from cogent3.core.info import Info
from cogent3.core.sequence import Sequence
from cogent3.format.fasta import alignment_to_fasta
__author__ = "Jeremy Widmann"
__copyr... | 35.101449 | 88 | 0.630471 |
from unittest import TestCase, main
from cogent3.core.alignment import Alignment
from cogent3.core.info import Info
from cogent3.core.sequence import Sequence
from cogent3.format.fasta import alignment_to_fasta
__author__ = "Jeremy Widmann"
__copyright__ = "Copyright 2007-2020, The Cogent Project"
__credits__ = ["J... | true | true |
f7561a19e81f6a1b27caa4944bc2244ecb37703b | 8,866 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_06_01/aio/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 3 | 2020-06-23T02:25:27.000Z | 2021-09-07T18:48:11.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_06_01/aio/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 510 | 2019-07-17T16:11:19.000Z | 2021-08-02T08:38:32.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_06_01/aio/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 5 | 2019-09-04T12:51:37.000Z | 2020-09-16T07:28:40.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 49.530726 | 236 | 0.677871 |
from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pi... | true | true |
f7561a6f079ebbbd7b8730d19724ec63b6ffceb5 | 984 | py | Python | authentication/models/users.py | jrbenriquez/user-authentication-jr | 3ea86724ff9f3a792161fc885b132474af5e1ffc | [
"MIT"
] | 1 | 2020-12-28T08:19:17.000Z | 2020-12-28T08:19:17.000Z | authentication/models/users.py | jrbenriquez/user-authentication-jr | 3ea86724ff9f3a792161fc885b132474af5e1ffc | [
"MIT"
] | null | null | null | authentication/models/users.py | jrbenriquez/user-authentication-jr | 3ea86724ff9f3a792161fc885b132474af5e1ffc | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
from django.db import models
from django.contrib.auth.models import AbstractUser, AbstractBaseUser
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import PermissionsMixin
from .managers import CustomUserManager
class Use... | 30.75 | 71 | 0.76626 | from django.db import models
from django.db import models
from django.contrib.auth.models import AbstractUser, AbstractBaseUser
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import PermissionsMixin
from .managers import CustomUserManager
class User(AbstractBaseUser, Permis... | true | true |
f7561c0b9ccb79c129b8ae75efc011a25257b252 | 26,890 | py | Python | tests/bugs/core_6086_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_6086_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_6086_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | #coding:utf-8
#
# id: bugs.core_6086
# title: Creating of the large procedure crashes the server.
# decription:
# Confirmed bug on: WI-T4.0.0.1534, WI-V3.0.5.33141
# Checked on:
# 4.0.0.1535: OK, 2.051s.
# 3.0.5.33142: ... | 30.315671 | 216 | 0.630346 |
import pytest
from firebird.qa import db_factory, isql_act, Action
substitutions_1 = []
init_script_1 = """"""
db_1 = db_factory(charset='WIN1251', sql_dialect=3, init=init_script_1)
test_script_1 = """
set bail on;
CREATE GLOBAL TEMPORARY TABLE SESSION_EDIT (
ID INTEGER NOT NULL,
... | true | true |
f7561cce9c685852e7f193a2c479a6e25bfd738c | 848 | py | Python | sdcflows/workflows/fit/tests/test_fit.py | oesteban/sdcflows | 17feeb3056448067ff7a1f80a7717f7a5b1194a0 | [
"Apache-2.0"
] | null | null | null | sdcflows/workflows/fit/tests/test_fit.py | oesteban/sdcflows | 17feeb3056448067ff7a1f80a7717f7a5b1194a0 | [
"Apache-2.0"
] | null | null | null | sdcflows/workflows/fit/tests/test_fit.py | oesteban/sdcflows | 17feeb3056448067ff7a1f80a7717f7a5b1194a0 | [
"Apache-2.0"
] | null | null | null | """Test that workflows build."""
import pytest
import sys
from .. import fieldmap # noqa
from .. import pepolar # noqa
from .. import syn # noqa
@pytest.mark.parametrize(
"workflow,kwargs",
(
("sdcflows.workflows.fit.fieldmap.init_fmap_wf", {"mode": "mapped"}),
("sdcflows.workflows.fit.fie... | 32.615385 | 80 | 0.642689 | import pytest
import sys
from .. import fieldmap
from .. import pepolar
from .. import syn
@pytest.mark.parametrize(
"workflow,kwargs",
(
("sdcflows.workflows.fit.fieldmap.init_fmap_wf", {"mode": "mapped"}),
("sdcflows.workflows.fit.fieldmap.init_fmap_wf", {}),
("sdcflows.workfl... | true | true |
f7561d8ce4b6d80daef66e31d59b05a94b5f1d3c | 1,892 | py | Python | patrickstar/utils/__init__.py | zhuzilin/PatrickStar | 72daf8dbded07e03d911db6369b075c9bfcd5245 | [
"BSD-3-Clause"
] | null | null | null | patrickstar/utils/__init__.py | zhuzilin/PatrickStar | 72daf8dbded07e03d911db6369b075c9bfcd5245 | [
"BSD-3-Clause"
] | 2 | 2022-03-15T06:57:11.000Z | 2022-03-15T07:55:31.000Z | patrickstar/utils/__init__.py | zhuzilin/PatrickStar | 72daf8dbded07e03d911db6369b075c9bfcd5245 | [
"BSD-3-Clause"
] | null | null | null | # BSD 3-Clause License
#
# Copyright (C) 2021 THL A29 Limited, a Tencent company. 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 copyrig... | 48.512821 | 82 | 0.786469 |
from .distributed import get_world_size, get_rank
from .helper import getsizeof, get_space_of
from .logging import log_dist, logger, print_rank
from .memory import get_memory_info
from .memory_monitor import (
see_memory_usage,
get_sys_memory_used,
)
from .singleton_meta import Sing... | true | true |
f7561e3a1f48ccf014477e076e725cf675811390 | 11,175 | py | Python | packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py | labaran1/plotly.py | 7ec751e8fed4a570c11ea4bea2231806389d62eb | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py | labaran1/plotly.py | 7ec751e8fed4a570c11ea4bea2231806389d62eb | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/ohlc/hoverlabel/_font.py | labaran1/plotly.py | 7ec751e8fed4a570c11ea4bea2231806389d62eb | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "ohlc.hoverlabel"
_path_str = "ohlc.hoverlabel.font"
_valid_props = {"color", "colorsrc", "fami... | 33.761329 | 82 | 0.55821 | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
_parent_path_str = "ohlc.hoverlabel"
_path_str = "ohlc.hoverlabel.font"
_valid_props = {"color", "colorsrc", "family", "familysrc", "size", "sizesrc"}
... | true | true |
f7561e3f9cf9c27ed3aa0c23b55497645f229851 | 2,754 | py | Python | tests/sensor/test_PixelMask.py | LukasK13/ESBO-ETC | d1db999f1670f2777c5227d79629d421f03e5393 | [
"Apache-2.0"
] | null | null | null | tests/sensor/test_PixelMask.py | LukasK13/ESBO-ETC | d1db999f1670f2777c5227d79629d421f03e5393 | [
"Apache-2.0"
] | null | null | null | tests/sensor/test_PixelMask.py | LukasK13/ESBO-ETC | d1db999f1670f2777c5227d79629d421f03e5393 | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase
from esbo_etc.classes.sensor.PixelMask import PixelMask
import numpy as np
import astropy.units as u
class TestPixelMask(TestCase):
def setUp(self):
self.mask = PixelMask(np.array([10, 8]) << u.pix, 6.5 * u.um, center_offset=np.array([0.2, 0.5]) << u.pix)
def test___new_... | 51 | 114 | 0.368918 | from unittest import TestCase
from esbo_etc.classes.sensor.PixelMask import PixelMask
import numpy as np
import astropy.units as u
class TestPixelMask(TestCase):
def setUp(self):
self.mask = PixelMask(np.array([10, 8]) << u.pix, 6.5 * u.um, center_offset=np.array([0.2, 0.5]) << u.pix)
def test___new_... | true | true |
f7561f9681311341f0ccad12751602e3d85da0ee | 4,575 | py | Python | src/model.py | lori94/DSCI_522_Group_404 | e8177bd7fa388dcada94bcb9c2f6e69dc0227591 | [
"MIT"
] | null | null | null | src/model.py | lori94/DSCI_522_Group_404 | e8177bd7fa388dcada94bcb9c2f6e69dc0227591 | [
"MIT"
] | 22 | 2020-01-17T21:36:34.000Z | 2020-02-09T01:15:50.000Z | src/model.py | lori94/DSCI_522_Group_404 | e8177bd7fa388dcada94bcb9c2f6e69dc0227591 | [
"MIT"
] | 3 | 2020-01-17T23:19:09.000Z | 2020-01-19T13:39:30.000Z | #!/usr/bin/env python
# coding: utf-8
'''This script finds the best parameters for SVC and LGR models and fits the data to these two models and outputs the classification images and the classification reports as the csv documents.
Usage: src/model.py --data_input=<data_input> --result_output=<result_output>
Argument... | 47.164948 | 223 | 0.72918 |
import numpy as np
import pandas as pd
from docopt import docopt
from sklearn.model_selection import RandomizedSearchCV
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report
import lightgbm as lgb
opt = doco... | true | true |
f75620801c5aa4e7be767496ee1ec9518526a876 | 2,052 | py | Python | py/torch_tensorrt/fx/test/converters/acc_op/test_embedding.py | NVIDIA/Torch-TensorRT | 1a22204fecec690bc3c2a318dab4f57b98c57f05 | [
"BSD-3-Clause"
] | 430 | 2021-11-09T08:08:01.000Z | 2022-03-31T10:13:45.000Z | py/torch_tensorrt/fx/test/converters/acc_op/test_embedding.py | NVIDIA/Torch-TensorRT | 1a22204fecec690bc3c2a318dab4f57b98c57f05 | [
"BSD-3-Clause"
] | 257 | 2021-11-09T07:17:03.000Z | 2022-03-31T20:29:31.000Z | py/torch_tensorrt/fx/test/converters/acc_op/test_embedding.py | NVIDIA/Torch-TensorRT | 1a22204fecec690bc3c2a318dab4f57b98c57f05 | [
"BSD-3-Clause"
] | 68 | 2021-11-10T05:03:22.000Z | 2022-03-22T17:07:32.000Z | import unittest
import torch
import torch_tensorrt.fx.tracer.acc_tracer.acc_ops as acc_ops
from parameterized import param, parameterized
from torch.testing._internal.common_utils import run_tests
from torch_tensorrt.fx.tools.common_fx2trt import AccTestCase
@unittest.skip(
"Current implementation is limited. A... | 30.176471 | 88 | 0.554581 | import unittest
import torch
import torch_tensorrt.fx.tracer.acc_tracer.acc_ops as acc_ops
from parameterized import param, parameterized
from torch.testing._internal.common_utils import run_tests
from torch_tensorrt.fx.tools.common_fx2trt import AccTestCase
@unittest.skip(
"Current implementation is limited. A... | true | true |
f75620dcd71ddaff853bd8bb0ba8fc7acd6cf3da | 2,452 | py | Python | app/main/forms.py | nacei/h3blog-master | e433c93f56be63883538b4e03198e6e4e056ecb6 | [
"MulanPSL-1.0"
] | null | null | null | app/main/forms.py | nacei/h3blog-master | e433c93f56be63883538b4e03198e6e4e056ecb6 | [
"MulanPSL-1.0"
] | null | null | null | app/main/forms.py | nacei/h3blog-master | e433c93f56be63883538b4e03198e6e4e056ecb6 | [
"MulanPSL-1.0"
] | null | null | null | # -*- coding:utf-8 -*-
__author__ = '何三'
from flask_wtf import FlaskForm
from flask_login import current_user
from wtforms import StringField,PasswordField, BooleanField, SubmitField, IntegerField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from app.models import User, Invitati... | 40.866667 | 104 | 0.707178 |
__author__ = '何三'
from flask_wtf import FlaskForm
from flask_login import current_user
from wtforms import StringField,PasswordField, BooleanField, SubmitField, IntegerField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from app.models import User, InvitationCode
class LoginFor... | true | true |
f756213157144c3a723641dfc1ff55c9db4af36f | 5,965 | py | Python | settings.py | caizixian/plotty | 114dbe9e2566fffa3427e815cdc8b3ae76866f2b | [
"MIT"
] | 7 | 2015-02-19T14:38:51.000Z | 2019-06-16T17:47:59.000Z | settings.py | caizixian/plotty | 114dbe9e2566fffa3427e815cdc8b3ae76866f2b | [
"MIT"
] | 2 | 2015-01-04T19:59:02.000Z | 2015-02-16T04:13:08.000Z | settings.py | caizixian/plotty | 114dbe9e2566fffa3427e815cdc8b3ae76866f2b | [
"MIT"
] | 2 | 2015-01-04T12:45:40.000Z | 2021-09-09T09:44:50.000Z | # Django settings for django_site project.
import sys, os
# Files created by plotty are globally read/write
os.umask(0)
DEBUG = not False
TEMPLATE_DEBUG = DEBUG
# Two-tailed confidence level (i.e. this value will be halved for calls to
# the inverse t function)
CONFIDENCE_LEVEL = 0.95
if 'PLOTTY_ROOT' in os.environ:... | 32.243243 | 119 | 0.732942 |
import sys, os
os.umask(0)
DEBUG = not False
TEMPLATE_DEBUG = DEBUG
CONFIDENCE_LEVEL = 0.95
if 'PLOTTY_ROOT' in os.environ:
ROOT_DIR = os.environ['PLOTTY_ROOT']
IS_SQUIRREL = True
else:
ROOT_DIR = os.path.dirname(__file__)
IS_SQUIRREL = False
APP_ROOT = os.path.dirname(__file__)
BM_LOG_DIR = os... | true | true |
f7562209d2b95909a797498d52cacee3d7ef223c | 465 | py | Python | setup.py | jefersonjlima/wbident | e3e108f3cb4752a7dc9e51a27aff78330e5ab3d9 | [
"MIT"
] | null | null | null | setup.py | jefersonjlima/wbident | e3e108f3cb4752a7dc9e51a27aff78330e5ab3d9 | [
"MIT"
] | null | null | null | setup.py | jefersonjlima/wbident | e3e108f3cb4752a7dc9e51a27aff78330e5ab3d9 | [
"MIT"
] | null | null | null | from setuptools import setup
with open('requirements.txt', 'rt') as f:
requirements_list = [req[:-1] for req in f.readlines()]
setup(
name='wbident',
version='0.0.1',
packages=['wbident', 'wbident.core'],
url='https://gitlab.com/limajj_articles/core/wbident',
license='',
author='Jeferson ... | 27.352941 | 59 | 0.68172 | from setuptools import setup
with open('requirements.txt', 'rt') as f:
requirements_list = [req[:-1] for req in f.readlines()]
setup(
name='wbident',
version='0.0.1',
packages=['wbident', 'wbident.core'],
url='https://gitlab.com/limajj_articles/core/wbident',
license='',
author='Jeferson ... | true | true |
f7562255dff65d18aecd17dc3f33b108335cb404 | 3,248 | py | Python | djangox/lib/python3.8/site-packages/oauthlib/oauth2/rfc6749/endpoints/resource.py | DemarcusL/django_wiki_lab | 3b7cf18af7e0f89c94d10eb953ca018a150a2f55 | [
"MIT"
] | 954 | 2018-01-27T11:00:51.000Z | 2022-03-31T16:04:42.000Z | djangox/lib/python3.8/site-packages/oauthlib/oauth2/rfc6749/endpoints/resource.py | DemarcusL/django_wiki_lab | 3b7cf18af7e0f89c94d10eb953ca018a150a2f55 | [
"MIT"
] | 274 | 2018-01-27T08:36:01.000Z | 2022-03-22T04:40:40.000Z | djangox/lib/python3.8/site-packages/oauthlib/oauth2/rfc6749/endpoints/resource.py | DemarcusL/django_wiki_lab | 3b7cf18af7e0f89c94d10eb953ca018a150a2f55 | [
"MIT"
] | 191 | 2018-02-15T12:12:45.000Z | 2022-03-31T22:38:13.000Z | """
oauthlib.oauth2.rfc6749
~~~~~~~~~~~~~~~~~~~~~~~
This module is an implementation of various logic needed
for consuming and providing OAuth 2.0 RFC6749.
"""
import logging
from oauthlib.common import Request
from .base import BaseEndpoint, catch_errors_and_unavailability
log = logging.getLogger(__name__)
class... | 38.211765 | 77 | 0.695813 | import logging
from oauthlib.common import Request
from .base import BaseEndpoint, catch_errors_and_unavailability
log = logging.getLogger(__name__)
class ResourceEndpoint(BaseEndpoint):
def __init__(self, default_token, token_types):
BaseEndpoint.__init__(self)
self._tokens = token_types
... | true | true |
f75622d2bdc034b43a8f7e965fa324c38b2de9a5 | 442 | py | Python | tests/test_dist.py | Angeluz-07/python-semantic-release | 39ff283312a0c686bfc5be71e1da9b6456652d95 | [
"MIT"
] | null | null | null | tests/test_dist.py | Angeluz-07/python-semantic-release | 39ff283312a0c686bfc5be71e1da9b6456652d95 | [
"MIT"
] | null | null | null | tests/test_dist.py | Angeluz-07/python-semantic-release | 39ff283312a0c686bfc5be71e1da9b6456652d95 | [
"MIT"
] | null | null | null | from semantic_release.dist import build_dists
from . import pytest
@pytest.mark.parametrize('commands', [
'sdist bdist_wheel',
'sdist',
'bdist_wheel',
'sdist bdist_wheel custom_cmd'
])
def test_build_command(mocker, commands):
mocker.patch('semantic_release.dist.config.get', lambda *a: commands)
... | 26 | 73 | 0.737557 | from semantic_release.dist import build_dists
from . import pytest
@pytest.mark.parametrize('commands', [
'sdist bdist_wheel',
'sdist',
'bdist_wheel',
'sdist bdist_wheel custom_cmd'
])
def test_build_command(mocker, commands):
mocker.patch('semantic_release.dist.config.get', lambda *a: commands)
... | true | true |
f75622e1cb03405a13903b24bc75e8cdcd191d6a | 3,690 | py | Python | audacity.py | naegawa/Aup2wav_dataset | bc22ce50704497f2d496da13b00cebae0083bbef | [
"MIT"
] | null | null | null | audacity.py | naegawa/Aup2wav_dataset | bc22ce50704497f2d496da13b00cebae0083bbef | [
"MIT"
] | null | null | null | audacity.py | naegawa/Aup2wav_dataset | bc22ce50704497f2d496da13b00cebae0083bbef | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# 2017 kojima changed https://github.com/davidavdav/audacity.py (c) 2016 David A. van Leeuwen
#
#
#
import xml.etree.ElementTree as ET
import wave, os, numpy, struct
class Aup:
def __init__(self, aupfile):
fqpath = os.path.join(os.path.curdir, aupfile)
dir = os.path.dirname(fqpath)
xml =... | 30 | 101 | 0.647425 |
import xml.etree.ElementTree as ET
import wave, os, numpy, struct
class Aup:
def __init__(self, aupfile):
fqpath = os.path.join(os.path.curdir, aupfile)
dir = os.path.dirname(fqpath)
xml = open(aupfile)
self.tree = ET.parse(xml)
self.root = self.tree.getroot()
self.rate = float(self.root.attrib["rate... | true | true |
f75623096f26c5c1cd0d1f4f86a90c4d295eb299 | 10,421 | py | Python | src/Python/sirf/contrib/kcl/user_dePierroMap_real_data.py | ClaireDelplancke/SIRF-Contribs | 29ab88bb5a0032daa464c2617a49ba6881813902 | [
"Apache-2.0"
] | 1 | 2019-04-18T08:54:12.000Z | 2019-04-18T08:54:12.000Z | src/Python/sirf/contrib/kcl/user_dePierroMap_real_data.py | ClaireDelplancke/SIRF-Contribs | 29ab88bb5a0032daa464c2617a49ba6881813902 | [
"Apache-2.0"
] | 5 | 2018-12-18T10:13:02.000Z | 2018-12-19T16:49:07.000Z | src/Python/sirf/contrib/kcl/user_dePierroMap_real_data.py | SyneRBI/SIRF-Contribs | 130223d9bc11991eadcd11f9b715aea34c4842fd | [
"Apache-2.0"
] | 1 | 2019-09-26T11:48:39.000Z | 2019-09-26T11:48:39.000Z | '''User implemented De Pierro MAPEM reconstruction
Real data implementation of De Pierro MAPEM, using a Bowsher weighted quadratic
penalty. The guidance image (here a T1-weighted MR image) must be pre-aligned
to the PET image and sampled on the same image grid.
Implemented by Sam Ellis (13th Feb 2019)
Usage:
dePier... | 32.77044 | 98 | 0.695998 |
ahv')
imageReg_array = dePierroReg(current_image.as_array(),weights)
OSEM_reconstructor.update(current_image)
imageEM_array = current_image.as_array()
imageUpdated_array = dePierroUpdate \
(imageEM_array, imageReg_array, ... | true | true |
f756234d8734f7c4eadcbf966415c8e84ac0e207 | 732 | py | Python | math/p100.py | sajjadt/competitive-programming | fb0844afba95383441f0c4c0c3b1a38078d24ec9 | [
"MIT"
] | 10 | 2019-03-29T08:37:10.000Z | 2021-12-29T14:06:57.000Z | math/p100.py | sajjadt/competitive-programming | fb0844afba95383441f0c4c0c3b1a38078d24ec9 | [
"MIT"
] | 1 | 2020-07-03T08:25:38.000Z | 2020-07-03T08:25:38.000Z | math/p100.py | sajjadt/competitive-programming | fb0844afba95383441f0c4c0c3b1a38078d24ec9 | [
"MIT"
] | 4 | 2019-05-30T16:04:48.000Z | 2020-10-22T21:42:25.000Z | #!/usr/bin/python3
# UVA 100: 3n+1 problem
LIMIT = 1000001
solutions = {}
solutions[0] = 0
solutions[1] = 1
def calc_and_get(index):
global solutions
if index <= 0:
return
if index in solutions:
return solutions[index]
else:
if index % 2 == 0:
val = calc_and_get(index / 2) + 1
else:
... | 17.428571 | 53 | 0.577869 |
LIMIT = 1000001
solutions = {}
solutions[0] = 0
solutions[1] = 1
def calc_and_get(index):
global solutions
if index <= 0:
return
if index in solutions:
return solutions[index]
else:
if index % 2 == 0:
val = calc_and_get(index / 2) + 1
else:
val = calc_and_get(3 * index + 1) +... | true | true |
f756237eb648bd55d783f6127c4d2191d51e5e50 | 10,195 | py | Python | lecture/1. policy-iteration/environment.py | hojeong3709/RL | a1c6eab8c3e7f2487e527fe68658d13eea5334af | [
"MIT"
] | null | null | null | lecture/1. policy-iteration/environment.py | hojeong3709/RL | a1c6eab8c3e7f2487e527fe68658d13eea5334af | [
"MIT"
] | null | null | null | lecture/1. policy-iteration/environment.py | hojeong3709/RL | a1c6eab8c3e7f2487e527fe68658d13eea5334af | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import Button
import time
import numpy as np
from PIL import ImageTk, Image
PhotoImage = ImageTk.PhotoImage
UNIT = 100 # 픽셀 수
HEIGHT = 5 # 그리드월드 세로
WIDTH = 5 # 그리드월드 가로
TRANSITION_PROB = 1 #상태 변환 확률 값
POSSIBLE_ACTIONS = [0, 1, 2, 3] # 상, 하, 좌, 우
ACTIONS = [(-1, 0), (1, 0), (0, -1)... | 41.108871 | 90 | 0.552133 | import tkinter as tk
from tkinter import Button
import time
import numpy as np
from PIL import ImageTk, Image
PhotoImage = ImageTk.PhotoImage
UNIT = 100
HEIGHT = 5
WIDTH = 5
TRANSITION_PROB = 1
POSSIBLE_ACTIONS = [0, 1, 2, 3]
ACTIONS = [(-1, 0), (1, 0), (0, -1), (0, 1)]
REWARDS = []
class GraphicDisplay(t... | true | true |
f75624d803ad381cbfbbfe67e691603f6f57449a | 2,864 | py | Python | limb_manipulation/src/camera_info_messages.py | TimAdamson21/access_teleop | 4ca4cc3ebc29cb4942cec5c8e3e60b897b80590c | [
"MIT"
] | null | null | null | limb_manipulation/src/camera_info_messages.py | TimAdamson21/access_teleop | 4ca4cc3ebc29cb4942cec5c8e3e60b897b80590c | [
"MIT"
] | null | null | null | limb_manipulation/src/camera_info_messages.py | TimAdamson21/access_teleop | 4ca4cc3ebc29cb4942cec5c8e3e60b897b80590c | [
"MIT"
] | null | null | null | from sensor_msgs.msg import CameraInfo
import rospy
camera1 = CameraInfo()
camera2 = CameraInfo()
camera3 = CameraInfo()
# Created by Tim
"""
camera1 = {header: {seq: 0, stamp: {secs: 0, nsecs: 0}, frame_id: 'camera1'},
height: 342, width: 342, distortion_model: 'plumb_bob',
D: [0],
K: [500.0, 0.0, ... | 32.91954 | 83 | 0.623254 | from sensor_msgs.msg import CameraInfo
import rospy
camera1 = CameraInfo()
camera2 = CameraInfo()
camera3 = CameraInfo()
camera1.header.seq = 0
camera1.header.stamp.secs = 0
camera1.header.stamp.nsecs = 0
camera1.header.frame_id = 'camera1'
camera1.height = 480
camera1.width = 640
camera1.distortion_model = 'plumb_b... | true | true |
f756266a329e6f238a736fab80bc10f2e122f73e | 5,845 | py | Python | plotly/tests/test_plot_ly/test_grid/test_grid.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 2 | 2020-03-24T11:41:14.000Z | 2021-01-14T07:59:43.000Z | plotly/tests/test_plot_ly/test_grid/test_grid.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 27 | 2020-04-28T21:23:12.000Z | 2021-06-25T15:36:38.000Z | plotly/tests/test_plot_ly/test_grid/test_grid.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 4 | 2019-06-03T14:49:12.000Z | 2022-01-06T01:05:12.000Z | """
test_grid:
==========
A module intended for use with Nose.
"""
from __future__ import absolute_import
import random
import string
from unittest import skip
from nose.plugins.attrib import attr
import plotly.plotly as py
from plotly.exceptions import InputError, PlotlyRequestError, PlotlyError
from plotly.graph... | 31.766304 | 73 | 0.607357 | from __future__ import absolute_import
import random
import string
from unittest import skip
from nose.plugins.attrib import attr
import plotly.plotly as py
from plotly.exceptions import InputError, PlotlyRequestError, PlotlyError
from plotly.graph_objs import Scatter
from plotly.grid_objs import Column, Grid
from p... | true | true |
f75626d8a00e4dc5cf4400c5bb6f101e1edde9ad | 3,744 | py | Python | smoke/layers/utils.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | null | null | null | smoke/layers/utils.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | null | null | null | smoke/layers/utils.py | ZhuokunYao/smoke | d524fbe43b1aba6078c25d9aca7924b71a635e1d | [
"MIT"
] | null | null | null | import torch
from torch.nn import functional as F
def sigmoid_hm(hm_features, training=False):
x = hm_features.sigmoid_()
if training:
x = x.clamp(min=1e-4, max=1 - 1e-4)
return x
def nms_hm(heat_map, kernel=3):
pad = (kernel - 1) // 2
hmax = F.max_pool2d(heat_map,
... | 30.942149 | 107 | 0.612447 | import torch
from torch.nn import functional as F
def sigmoid_hm(hm_features, training=False):
x = hm_features.sigmoid_()
if training:
x = x.clamp(min=1e-4, max=1 - 1e-4)
return x
def nms_hm(heat_map, kernel=3):
pad = (kernel - 1) // 2
hmax = F.max_pool2d(heat_map,
... | true | true |
f75627208774fb440cdef21b3d09d833aa26beb5 | 785 | py | Python | plugins/mxtoolbox_dns/komand_mxtoolbox_dns/actions/dns/action.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/mxtoolbox_dns/komand_mxtoolbox_dns/actions/dns/action.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/mxtoolbox_dns/komand_mxtoolbox_dns/actions/dns/action.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | import komand
from .schema import DnsInput, DnsOutput
# Custom imports below
from komand_mxtoolbox_dns.util import utils
class Dns(komand.Action):
def __init__(self):
super(self.__class__, self).__init__(
name="dns", description="Run a DNS query", input=DnsInput(), output=DnsOutput()
... | 30.192308 | 91 | 0.659873 | import komand
from .schema import DnsInput, DnsOutput
from komand_mxtoolbox_dns.util import utils
class Dns(komand.Action):
def __init__(self):
super(self.__class__, self).__init__(
name="dns", description="Run a DNS query", input=DnsInput(), output=DnsOutput()
)
def run(self, p... | true | true |
f756275786ceeff5ebdc8cd30d844db12c6788be | 254 | py | Python | projectecho/projectecho/users/apps.py | ngonimombeshora/projectecho | 839423738cb63da2e90f7e1d561da5413aca2357 | [
"MIT"
] | null | null | null | projectecho/projectecho/users/apps.py | ngonimombeshora/projectecho | 839423738cb63da2e90f7e1d561da5413aca2357 | [
"MIT"
] | null | null | null | projectecho/projectecho/users/apps.py | ngonimombeshora/projectecho | 839423738cb63da2e90f7e1d561da5413aca2357 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class UsersAppConfig(AppConfig):
name = "projectecho.users"
verbose_name = "Users"
def ready(self):
try:
import users.signals # noqa F401
except ImportError:
pass
| 18.142857 | 45 | 0.614173 | from django.apps import AppConfig
class UsersAppConfig(AppConfig):
name = "projectecho.users"
verbose_name = "Users"
def ready(self):
try:
import users.signals
except ImportError:
pass
| true | true |
f7562aa3b825bf532ab3aa6c7e2447772a5d0bea | 9,165 | py | Python | codes/lib/position.py | aviolinist/EEE | 032e2029815229875048cc92dd7da24ff3f71e93 | [
"MIT"
] | 6 | 2019-09-27T15:38:37.000Z | 2021-02-03T13:58:01.000Z | codes/lib/position.py | aviolinist/EEE | 032e2029815229875048cc92dd7da24ff3f71e93 | [
"MIT"
] | null | null | null | codes/lib/position.py | aviolinist/EEE | 032e2029815229875048cc92dd7da24ff3f71e93 | [
"MIT"
] | 5 | 2019-09-27T15:38:52.000Z | 2022-03-22T17:24:37.000Z | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['position']
def position(row=1, col=1, num=1,
left=0.125, right=0.9, bottom=0.1, top=0.9,
hspace=0.1, vspace=None, wspace=None,
width=None, height=None,
... | 40.733333 | 116 | 0.560611 |
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['position']
def position(row=1, col=1, num=1,
left=0.125, right=0.9, bottom=0.1, top=0.9,
hspace=0.1, vspace=None, wspace=None,
width=None, height=None,
sortcol=False, go... | true | true |
f7562b12d44cd534b340dbf8b45926054f8962ff | 5,008 | py | Python | gluon/_compat.py | dhildebr/portfolio-website | f9d8aceb3a78c19f2b351277d1f1df2c0a55f5fd | [
"BSD-3-Clause"
] | 21 | 2018-02-16T17:43:59.000Z | 2021-12-29T12:08:28.000Z | gluon/_compat.py | dhildebr/portfolio-website | f9d8aceb3a78c19f2b351277d1f1df2c0a55f5fd | [
"BSD-3-Clause"
] | 12 | 2017-11-01T14:54:29.000Z | 2018-02-01T22:02:12.000Z | gluon/_compat.py | dhildebr/portfolio-website | f9d8aceb3a78c19f2b351277d1f1df2c0a55f5fd | [
"BSD-3-Clause"
] | 8 | 2018-10-08T03:48:00.000Z | 2022-03-31T12:13:01.000Z | import sys
import hashlib
import os
PY2 = sys.version_info[0] == 2
_identity = lambda x: x
if PY2:
import cPickle as pickle
from cStringIO import StringIO
import copy_reg as copyreg
from HTMLParser import HTMLParser
import urlparse
from htmlentitydefs import entitydefs, name2codepoint
imp... | 30.91358 | 88 | 0.679113 | import sys
import hashlib
import os
PY2 = sys.version_info[0] == 2
_identity = lambda x: x
if PY2:
import cPickle as pickle
from cStringIO import StringIO
import copy_reg as copyreg
from HTMLParser import HTMLParser
import urlparse
from htmlentitydefs import entitydefs, name2codepoint
imp... | true | true |
f7562b416003b48372a61948cb13d6a8660f32f4 | 835 | py | Python | chapter02/elasticsearch_study.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter02/elasticsearch_study.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter02/elasticsearch_study.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | from elasticsearch import Elasticsearch
client = Elasticsearch("http://username:password@127.0.0.1:9200")
client.indices.create(index="index_name")
client.create(
index="index_name",
id=1,
document={
"sku": 134218478,
"name": "Rb-01 - Robô Aspirador De Pó Fast Clean Bivolt - Mondial",
... | 27.833333 | 166 | 0.681437 | from elasticsearch import Elasticsearch
client = Elasticsearch("http://username:password@127.0.0.1:9200")
client.indices.create(index="index_name")
client.create(
index="index_name",
id=1,
document={
"sku": 134218478,
"name": "Rb-01 - Robô Aspirador De Pó Fast Clean Bivolt - Mondial",
... | true | true |
f7562b536d198e0c54b5920f2bce8f8474f29dd3 | 12,009 | py | Python | python/raydp/spark/torch/dataset.py | ConeyLiu/oap-raydp | 3fe728f01dbb6494d94c4abd65bc9aacff771080 | [
"Apache-2.0"
] | null | null | null | python/raydp/spark/torch/dataset.py | ConeyLiu/oap-raydp | 3fe728f01dbb6494d94c4abd65bc9aacff771080 | [
"Apache-2.0"
] | null | null | null | python/raydp/spark/torch/dataset.py | ConeyLiu/oap-raydp | 3fe728f01dbb6494d94c4abd65bc9aacff771080 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 40.708475 | 96 | 0.626114 |
from collections.abc import Iterable
from typing import Any, List, Optional
import numpy as np
import pandas
import torch
from torch.utils.data import Dataset, DistributedSampler
from raydp.spark.context import save_to_ray
from raydp.spark.resource_manager.exchanger import SharedDataset
from raydp.sp... | true | true |
f7562bf6ef62c5e01fc2df18fe5dab489ce7385a | 1,014 | py | Python | iconQt.py | EGobi/icon-corner | bbd9e45742eb5f225b857b6e3bf28f74b79aa9dc | [
"CC0-1.0"
] | null | null | null | iconQt.py | EGobi/icon-corner | bbd9e45742eb5f225b857b6e3bf28f74b79aa9dc | [
"CC0-1.0"
] | null | null | null | iconQt.py | EGobi/icon-corner | bbd9e45742eb5f225b857b6e3bf28f74b79aa9dc | [
"CC0-1.0"
] | null | null | null | import sys, signal
from PyQt5.QtWidgets import QApplication, QWidget, QLabel
from PyQt5.QtGui import QIcon, QPixmap
from PyQt5.QtCore import Qt
class Application(QWidget):
def __init__(self):
super().__init__()
self.setWindowFlags(Qt.CustomizeWindowHint | Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint | Qt.Tool... | 28.166667 | 106 | 0.710059 | import sys, signal
from PyQt5.QtWidgets import QApplication, QWidget, QLabel
from PyQt5.QtGui import QIcon, QPixmap
from PyQt5.QtCore import Qt
class Application(QWidget):
def __init__(self):
super().__init__()
self.setWindowFlags(Qt.CustomizeWindowHint | Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint | Qt.Tool... | true | true |
f7562c4c91991722ca112cb0267d2b90ea50dddc | 4,998 | py | Python | core/model.py | 2anchao/NTS_NET | 3b0a58616cb4b44699a11541eac2777556169812 | [
"MIT"
] | 1 | 2022-02-25T07:37:24.000Z | 2022-02-25T07:37:24.000Z | core/model.py | yirui-fafa/NTS_NET | 3b0a58616cb4b44699a11541eac2777556169812 | [
"MIT"
] | null | null | null | core/model.py | yirui-fafa/NTS_NET | 3b0a58616cb4b44699a11541eac2777556169812 | [
"MIT"
] | 1 | 2022-02-25T07:54:56.000Z | 2022-02-25T07:54:56.000Z | from torch import nn
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from core import resnet
import numpy as np
from core.anchors import generate_default_anchor_maps, hard_nms
from config import Config as cfg
class ProposalNet(nn.Module):
"""
Navigator Network
... | 46.71028 | 121 | 0.628451 | from torch import nn
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from core import resnet
import numpy as np
from core.anchors import generate_default_anchor_maps, hard_nms
from config import Config as cfg
class ProposalNet(nn.Module):
def __init__(self, in_channel=2... | true | true |
f7562cc02d0d3371653c49379ac8aefc247ea73b | 125,928 | py | Python | catboost/python-package/catboost/core.py | ProskuraPD/catboost | d4593d4fbc8b8da66ff2d8b838578eba819d9d0d | [
"Apache-2.0"
] | null | null | null | catboost/python-package/catboost/core.py | ProskuraPD/catboost | d4593d4fbc8b8da66ff2d8b838578eba819d9d0d | [
"Apache-2.0"
] | null | null | null | catboost/python-package/catboost/core.py | ProskuraPD/catboost | d4593d4fbc8b8da66ff2d8b838578eba819d9d0d | [
"Apache-2.0"
] | null | null | null | import sys
from copy import deepcopy
from six import iteritems, string_types, integer_types
import os
import imp
from collections import Iterable, Sequence, Mapping, MutableMapping
import warnings
import numpy as np
import ctypes
import platform
import tempfile
from enum import Enum
from operator import itemgetter
if ... | 42.4 | 180 | 0.647418 | import sys
from copy import deepcopy
from six import iteritems, string_types, integer_types
import os
import imp
from collections import Iterable, Sequence, Mapping, MutableMapping
import warnings
import numpy as np
import ctypes
import platform
import tempfile
from enum import Enum
from operator import itemgetter
if ... | true | true |
f7562e6282d137e43a57b3bb0fd225b46fb12aa0 | 2,539 | py | Python | Code/Data_Collection/APIs/Itjobs_api/itjobs_api.py | gilnribeiro/Work-Project | 15ad906ef5e757daed1df9c7547e5703ad496930 | [
"MIT"
] | 1 | 2022-01-31T11:31:04.000Z | 2022-01-31T11:31:04.000Z | Code/Data_Collection/APIs/Itjobs_api/itjobs_api.py | gilnribeiro/Work-Project | 15ad906ef5e757daed1df9c7547e5703ad496930 | [
"MIT"
] | null | null | null | Code/Data_Collection/APIs/Itjobs_api/itjobs_api.py | gilnribeiro/Work-Project | 15ad906ef5e757daed1df9c7547e5703ad496930 | [
"MIT"
] | null | null | null | import json
import os
from .config import API_KEY
import requests
from datetime import date
from w3lib.html import remove_tags
def save_data_to_json(file_name, data):
"""Save data to a json file creating it if it does not already exist
:parameter: file_name -> 'example' do not add the '.json'
:parameter:... | 30.590361 | 105 | 0.570303 | import json
import os
from .config import API_KEY
import requests
from datetime import date
from w3lib.html import remove_tags
def save_data_to_json(file_name, data):
if os.path.exists(file_name+'.json') == False:
with open(file_name+'.json', 'w', encoding='utf-8') as json_file:
... | true | true |
f7562f1fcd1e17c71bb61a1ba765f5cffb3a1dbc | 37,171 | py | Python | plantcv/plantcv/spectral_index/spectral_index.py | ygarrot/plantcv | e934a891e0d1bf8987ca6a9f982a4ac1f420bfe7 | [
"MIT"
] | 1 | 2022-03-12T05:46:03.000Z | 2022-03-12T05:46:03.000Z | plantcv/plantcv/spectral_index/spectral_index.py | YuanYu-Double/plantcv | 0e11c7f63d96a52487e01e3b67744aa8697eedb2 | [
"MIT"
] | null | null | null | plantcv/plantcv/spectral_index/spectral_index.py | YuanYu-Double/plantcv | 0e11c7f63d96a52487e01e3b67744aa8697eedb2 | [
"MIT"
] | null | null | null | # Extract one of the predefined indices from a hyperspectral datacube
import os
import numpy as np
import cv2
from plantcv.plantcv import params
from plantcv.plantcv._debug import _debug
from plantcv.plantcv import fatal_error
from plantcv.plantcv import Spectral_data
from plantcv.plantcv.transform import rescale
from... | 41.812148 | 115 | 0.672218 |
import os
import numpy as np
import cv2
from plantcv.plantcv import params
from plantcv.plantcv._debug import _debug
from plantcv.plantcv import fatal_error
from plantcv.plantcv import Spectral_data
from plantcv.plantcv.transform import rescale
from plantcv.plantcv.hyperspectral import _find_closest
def ndvi(hsi, d... | true | true |
f7562f6dc837f9ba6a3ceb3e7c9c6a62076cf323 | 1,031 | py | Python | Django_learning_2/Django_05_Ajax/Django_05_Ajax/urls.py | hgzerowzh/Django | 2be08ad8e44065f3a0a884998d6120a415eddbb3 | [
"Apache-2.0"
] | null | null | null | Django_learning_2/Django_05_Ajax/Django_05_Ajax/urls.py | hgzerowzh/Django | 2be08ad8e44065f3a0a884998d6120a415eddbb3 | [
"Apache-2.0"
] | null | null | null | Django_learning_2/Django_05_Ajax/Django_05_Ajax/urls.py | hgzerowzh/Django | 2be08ad8e44065f3a0a884998d6120a415eddbb3 | [
"Apache-2.0"
] | null | null | null | """Django_05_Ajax URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | 27.131579 | 77 | 0.690592 | from django.contrib import admin
from django.urls import path
from django.conf.urls import url
from app01 import views
urlpatterns = [
url(r'^index.html$', views.index),
url(r'^ajax1.html$', views.ajax1),
url(r'^ajax2.html$', views.ajax2),
url(r'^upload.html$', views.upload),
url(r'^up... | true | true |
f7562fbb0fd40e6f732b13273da04f190ed5f4bf | 626 | py | Python | bin/dynamodb_to_csv.py | istrategylabs/amweekly | befd03cc4ed9ea0dceb0bf24f339016faf6fb10a | [
"MIT"
] | 3 | 2016-09-29T17:14:51.000Z | 2020-05-12T20:38:27.000Z | bin/dynamodb_to_csv.py | istrategylabs/amweekly | befd03cc4ed9ea0dceb0bf24f339016faf6fb10a | [
"MIT"
] | 2 | 2017-08-04T19:53:45.000Z | 2018-03-07T14:10:36.000Z | bin/dynamodb_to_csv.py | istrategylabs/amweekly | befd03cc4ed9ea0dceb0bf24f339016faf6fb10a | [
"MIT"
] | 1 | 2019-12-17T16:11:28.000Z | 2019-12-17T16:11:28.000Z | import csv
import json
from datetime import datetime
"""Useful for converting DynamoDB exports to CSV"""
data = []
with open('data') as f:
for line in f:
data.append(json.loads(line))
with open('data.csv', 'w', encoding='utf8') as csvf:
w = csv.writer(csvf, quoting=csv.QUOTE_MINIMAL)
w.writerow(... | 28.454545 | 56 | 0.623003 | import csv
import json
from datetime import datetime
data = []
with open('data') as f:
for line in f:
data.append(json.loads(line))
with open('data.csv', 'w', encoding='utf8') as csvf:
w = csv.writer(csvf, quoting=csv.QUOTE_MINIMAL)
w.writerow(['id', 'created_at', 'user_name', 'url'])
for id... | true | true |
f75630cbc7b1eef703d5e902537d65487d1b7612 | 4,126 | py | Python | sim/pid.py | jmagine/rf-selection | ba9dcb5ca550916873ce68baa71da983f2dd4be5 | [
"MIT"
] | 1 | 2020-05-06T01:28:06.000Z | 2020-05-06T01:28:06.000Z | sim/pid.py | jmagine/multiuav-rf | ba9dcb5ca550916873ce68baa71da983f2dd4be5 | [
"MIT"
] | null | null | null | sim/pid.py | jmagine/multiuav-rf | ba9dcb5ca550916873ce68baa71da983f2dd4be5 | [
"MIT"
] | null | null | null | '''*-----------------------------------------------------------------------*---
Author: Jason Ma
Date : Oct 18 2018
TODO
File Name : pid.py
Description: TODO
---... | 25.469136 | 127 | 0.537082 |
import time
import matplotlib.animation as anim
import matplotlib.pyplot as plt
import threading
import math
import numpy as np
ORIGIN_X = 0.0
ORIGIN_Y = 0.0
C_R = 10
fig = plt.figure()
ax = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
scat = ax.scatter([], [])
ax.set_xlim([-1 * C_R - 1, C_R + 1])
ax.set_yl... | true | true |
f756319f056e211d5b1fbc459b2a23eb1a227f56 | 6,493 | py | Python | stog/modules/initializers.py | sfillwo/stog | b02e2dbe8989078ccdc3df611d8b08b63d28fcae | [
"MIT"
] | 172 | 2019-11-19T05:52:36.000Z | 2022-03-26T04:58:24.000Z | stog/modules/initializers.py | sfillwo/stog | b02e2dbe8989078ccdc3df611d8b08b63d28fcae | [
"MIT"
] | 22 | 2019-07-13T09:11:57.000Z | 2021-11-17T05:30:36.000Z | stog/modules/initializers.py | banditelol/stog | b965c47c17472eea11ab63aab9aa738af7875f06 | [
"MIT"
] | 39 | 2019-06-26T11:37:51.000Z | 2022-03-07T13:30:26.000Z | """
Adopted from AllenNLP:
https://github.com/allenai/allennlp/blob/v0.6.1/allennlp/nn/initializers.py
An initializer is just a PyTorch function.
Here we implement a proxy class that allows us
to register them and supply any additional function arguments
(for example, the ``mean`` and ``std`` of a normal initializ... | 49.946154 | 152 | 0.708301 | import re
import math
from typing import Callable, List, Tuple, Type, Iterable
import itertools
import torch
import torch.nn.init
from stog.utils import logging
from stog.utils.checks import ConfigurationError
logger = logging.init_logger()
def uniform_unit_scaling(tensor: torch.Tensor, nonlinearity: str = "line... | true | true |
f75632098576858b984cb783ccc623277954277e | 373,414 | py | Python | template_container_ferret/labels/slice_77.py | lkondratova/Brainplot | 3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d | [
"MIT"
] | null | null | null | template_container_ferret/labels/slice_77.py | lkondratova/Brainplot | 3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d | [
"MIT"
] | null | null | null | template_container_ferret/labels/slice_77.py | lkondratova/Brainplot | 3c8a88c1995dedeaa5cbd88ee71499c7cf9c571d | [
"MIT"
] | null | null | null | coordinates_BCBCBC = ((159, 111),
(162, 108), (163, 108), )
coordinates_993300 = ((222, 14),
(222, 16), (222, 17), (222, 18), (222, 19), (222, 20), (222, 21), (222, 22), (222, 23), (222, 24), (222, 25), (222, 26), (222, 27), (222, 28), (222, 29), (222, 30), (222, 31), (222, 32), (222, 34), (222, 42), (222, 44), (2... | 779.569937 | 865 | 0.481669 | coordinates_BCBCBC = ((159, 111),
(162, 108), (163, 108), )
coordinates_993300 = ((222, 14),
(222, 16), (222, 17), (222, 18), (222, 19), (222, 20), (222, 21), (222, 22), (222, 23), (222, 24), (222, 25), (222, 26), (222, 27), (222, 28), (222, 29), (222, 30), (222, 31), (222, 32), (222, 34), (222, 42), (222, 44), (2... | true | true |
f75632666d1fc43d67c7136f5ed03d3cd1a06ef3 | 1,559 | py | Python | example_mask.py | jamal919/pyIntertidalDEM | 1db667a9b52939a52c71d64e20200d66bfb03665 | [
"Apache-2.0"
] | 3 | 2019-12-08T14:41:50.000Z | 2020-06-17T11:04:01.000Z | example_mask.py | jamal919/pyIntertidalDEM | 1db667a9b52939a52c71d64e20200d66bfb03665 | [
"Apache-2.0"
] | 7 | 2021-06-30T13:24:16.000Z | 2022-03-10T11:55:24.000Z | example_mask.py | jamal919/pyIntertidalDEM | 1db667a9b52939a52c71d64e20200d66bfb03665 | [
"Apache-2.0"
] | 1 | 2019-10-10T19:45:26.000Z | 2019-10-10T19:45:26.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import gc
import time
import numpy as np
import matplotlib.pyplot as plt
from pyintdem.core import Band, RGB
from pyintdem.data import Sentinel2
# Directory Settings
input_dir='/run/media/khan/Backup KE Maxelev'
output_dir =... | 31.816327 | 84 | 0.617062 |
from __future__ import print_function
import os
import gc
import time
import numpy as np
import matplotlib.pyplot as plt
from pyintdem.core import Band, RGB
from pyintdem.data import Sentinel2
input_dir='/run/media/khan/Backup KE Maxelev'
output_dir = '/run/media/khan/Backup KE Maxelev/Analysis_v3'
data_dir = o... | true | true |
f756327402bca1a56490b0590a0a33c7e9b31596 | 2,283 | py | Python | tests/tabular_output/test_terminaltables_adapter.py | tirkarthi/cli_helpers | 2ae90b0c579e604d53f6297255491e049d5029f6 | [
"BSD-3-Clause"
] | null | null | null | tests/tabular_output/test_terminaltables_adapter.py | tirkarthi/cli_helpers | 2ae90b0c579e604d53f6297255491e049d5029f6 | [
"BSD-3-Clause"
] | null | null | null | tests/tabular_output/test_terminaltables_adapter.py | tirkarthi/cli_helpers | 2ae90b0c579e604d53f6297255491e049d5029f6 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test the terminaltables output adapter."""
from __future__ import unicode_literals
from textwrap import dedent
import pytest
from cli_helpers.compat import HAS_PYGMENTS
from cli_helpers.tabular_output import terminaltables_adapter
if HAS_PYGMENTS:
from pygments.style import Style
... | 32.614286 | 86 | 0.540955 |
from __future__ import unicode_literals
from textwrap import dedent
import pytest
from cli_helpers.compat import HAS_PYGMENTS
from cli_helpers.tabular_output import terminaltables_adapter
if HAS_PYGMENTS:
from pygments.style import Style
from pygments.token import Token
def test_terminal_tables_adapter()... | true | true |
f75633c5a9b3509ebc088b632551c61995e69559 | 2,818 | py | Python | quantitative_finance/L3/python/dje_test.py | heeran-xilinx/Vitis_Libraries | ab3f6969e397dc44705a7278fb0d480e905e72db | [
"Apache-2.0"
] | 1 | 2021-06-14T17:02:06.000Z | 2021-06-14T17:02:06.000Z | quantitative_finance/L3/python/dje_test.py | heeran-xilinx/Vitis_Libraries | ab3f6969e397dc44705a7278fb0d480e905e72db | [
"Apache-2.0"
] | null | null | null | quantitative_finance/L3/python/dje_test.py | heeran-xilinx/Vitis_Libraries | ab3f6969e397dc44705a7278fb0d480e905e72db | [
"Apache-2.0"
] | 1 | 2021-06-08T06:18:10.000Z | 2021-06-08T06:18:10.000Z | #!/usr/bin/env python3
# Ensure environmental variables i.e. paths are set to used the modules
from xf_fintech_python import DeviceManager, MCEuropeanDJE, OptionType
import array
# State test financial model
print("\nThe Dow Jones MCEuropean financial model\n========================================\n")
# Declaring V... | 44.03125 | 254 | 0.750532 |
from xf_fintech_python import DeviceManager, MCEuropeanDJE, OptionType
import array
print("\nThe Dow Jones MCEuropean financial model\n========================================\n")
deviceList = DeviceManager.getDeviceList("u250")
outputResults = []
lastruntime = 0
stockPriceList = [163.69, 117.38, 182.06, 347.82... | true | true |
f75633d6d15ba85ae7c0cd0865f4bc33f738c7a0 | 481 | py | Python | assets/Poser/Reality/Runtime/Libraries/light/Reality/SingleIBLs/LineSingleV/Large/LineSingleV_Large_70.py | Red54/reality | 510d4f5fde2f4c5535482f1ea199f914102b8a2a | [
"BSD-3-Clause"
] | null | null | null | assets/Poser/Reality/Runtime/Libraries/light/Reality/SingleIBLs/LineSingleV/Large/LineSingleV_Large_70.py | Red54/reality | 510d4f5fde2f4c5535482f1ea199f914102b8a2a | [
"BSD-3-Clause"
] | null | null | null | assets/Poser/Reality/Runtime/Libraries/light/Reality/SingleIBLs/LineSingleV/Large/LineSingleV_Large_70.py | Red54/reality | 510d4f5fde2f4c5535482f1ea199f914102b8a2a | [
"BSD-3-Clause"
] | null | null | null | #
# Copyright (c) Pret-a-3D/Paolo Ciccone. All rights reserved.
# Modified by Fuzzy70/Lee Furssedonn with kind permission from Paolo Ciccone
#
from Reality_services import *
from Reality import *
# To customize this script all you need to do is to
# change the following variable
Re_sIBL_Map = ":Runtime:Text... | 32.066667 | 90 | 0.767152 |
from Reality_services import *
from Reality import *
Re_sIBL_Map = ":Runtime:Textures:Reality:SingleIBLs:LineSingleV:LineSingleV_Large_70.ibl"
Reality.Scene().setIBLImage(ReResolvePoserPath(Re_sIBL_Map).encode("utf8"))
| true | true |
f7563408c01bf0491d2ae9779ba8cbf803ededa9 | 12,691 | py | Python | bin/main.py | bferd/bing-desktop-wallpaper-changer-PepermintOS | 595eeea6ab4ff58ea757956ed642aa88c4b2bb83 | [
"MIT"
] | null | null | null | bin/main.py | bferd/bing-desktop-wallpaper-changer-PepermintOS | 595eeea6ab4ff58ea757956ed642aa88c4b2bb83 | [
"MIT"
] | null | null | null | bin/main.py | bferd/bing-desktop-wallpaper-changer-PepermintOS | 595eeea6ab4ff58ea757956ed642aa88c4b2bb83 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import locale
import os
import re
import sys
import shutil
from PIL import Image
# setup done to /opt/bing-desktop-wallpaper-changer by BDWC Installer v3.3.1-release
path_to_Bing_Wallpapers="/opt/bing-desktop-wallpaper-changer"
# wait computer internet connection
os.system("... | 28.647856 | 112 | 0.589158 |
import locale
import os
import re
import sys
import shutil
from PIL import Image
path_to_Bing_Wallpapers="/opt/bing-desktop-wallpaper-changer"
os.system("sleep 10")
try:
from urllib.request import urlopen
from urllib.request import urlretrieve
from configparser import ConfigParser
except ImportErr... | true | true |
f75634ccc49a830308698fc6bea62d7f191eeab2 | 1,668 | py | Python | xero_python/accounting/models/report_with_rows.py | parasharrk/xero-python | e8416f3bd893520a343af014f5bb65acbf1f4f13 | [
"MIT"
] | null | null | null | xero_python/accounting/models/report_with_rows.py | parasharrk/xero-python | e8416f3bd893520a343af014f5bb65acbf1f4f13 | [
"MIT"
] | null | null | null | xero_python/accounting/models/report_with_rows.py | parasharrk/xero-python | e8416f3bd893520a343af014f5bb65acbf1f4f13 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Accounting API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: 2.4.0
Contact: api@xero.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
from xero_pytho... | 25.272727 | 124 | 0.622902 |
import re
from xero_python.models import BaseModel
class ReportWithRows(BaseModel):
openapi_types = {"reports": "list[ReportWithRow]"}
attribute_map = {"reports": "Reports"}
def __init__(self, reports=None):
self._reports = None
self.discriminator = None
if reports is... | true | true |
f75634d856e8331069faa8f4d348f2ded3823467 | 17,929 | py | Python | tensorflow/python/ops/string_ops.py | datanonymous/TFandroid | 89927e863b1ad96184ab09188f62b7e391c896d9 | [
"Apache-2.0"
] | 6 | 2019-02-05T22:36:51.000Z | 2022-01-14T03:50:57.000Z | tensorflow/python/ops/string_ops.py | shekharpalit/tensorflow | 6aa83398ab03bfae822f36772757097bcb98b6ed | [
"Apache-2.0"
] | 1 | 2019-09-14T04:40:07.000Z | 2020-11-18T18:16:17.000Z | tensorflow/python/ops/string_ops.py | shekharpalit/tensorflow | 6aa83398ab03bfae822f36772757097bcb98b6ed | [
"Apache-2.0"
] | 8 | 2016-01-14T13:12:56.000Z | 2021-04-09T10:20:53.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.430063 | 89 | 0.703609 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.compat import compat
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framewor... | true | true |
f756352060c474d7a123e36d9d7fc377ffb88fbb | 124,150 | py | Python | musicbot/bot.py | javifdeezg/musicdiscordapp | 3f64d7feb470c0d26b154d8a754c57943dc459b7 | [
"MIT"
] | null | null | null | musicbot/bot.py | javifdeezg/musicdiscordapp | 3f64d7feb470c0d26b154d8a754c57943dc459b7 | [
"MIT"
] | null | null | null | musicbot/bot.py | javifdeezg/musicdiscordapp | 3f64d7feb470c0d26b154d8a754c57943dc459b7 | [
"MIT"
] | null | null | null | import os
import sys
import time
import shlex
import shutil
import random
import inspect
import logging
import asyncio
import pathlib
import traceback
import math
import re
import aiohttp
import discord
import colorlog
from io import BytesIO, StringIO
from functools import wraps
from textwrap import dedent
from datet... | 43.018018 | 219 | 0.585832 | import os
import sys
import time
import shlex
import shutil
import random
import inspect
import logging
import asyncio
import pathlib
import traceback
import math
import re
import aiohttp
import discord
import colorlog
from io import BytesIO, StringIO
from functools import wraps
from textwrap import dedent
from datet... | true | true |
f7563656884f83256297a916c01cf434867d4e25 | 508 | py | Python | src/xrd/crypto/Qryptonight7.py | jack3343/xrd-core | 48a6d890d62485c627060b017eadf85602268caf | [
"MIT"
] | null | null | null | src/xrd/crypto/Qryptonight7.py | jack3343/xrd-core | 48a6d890d62485c627060b017eadf85602268caf | [
"MIT"
] | null | null | null | src/xrd/crypto/Qryptonight7.py | jack3343/xrd-core | 48a6d890d62485c627060b017eadf85602268caf | [
"MIT"
] | null | null | null | # coding=utf-8
# Distributed under the MIT software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
import threading
from xrd.core.Singleton import Singleton
from pyqryptonight import pyqryptonight
class Qryptonight7(object, metaclass=Singleton):
def __init__(... | 26.736842 | 69 | 0.720472 |
import threading
from xrd.core.Singleton import Singleton
from pyqryptonight import pyqryptonight
class Qryptonight7(object, metaclass=Singleton):
def __init__(self):
self.lock = threading.Lock()
self._qn = pyqryptonight.Qryptonight()
def hash(self, blob):
with self.lock:
... | true | true |
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