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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7928c5c04fb72d08fb684604cffaa731cc92dd66 | 11,963 | py | Python | freesas/app/extract_ascii.py | maaeli/freesas | 418cdd1b72ab650198453a06defa3a57e5c4daea | [
"MIT"
] | null | null | null | freesas/app/extract_ascii.py | maaeli/freesas | 418cdd1b72ab650198453a06defa3a57e5c4daea | [
"MIT"
] | 5 | 2020-07-04T15:58:16.000Z | 2021-06-17T18:47:10.000Z | freesas/app/extract_ascii.py | maaeli/freesas | 418cdd1b72ab650198453a06defa3a57e5c4daea | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# coding: utf-8
#
# Project: freesas
# https://github.com/kif/freesas
#
# Copyright (C) 2020 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation fi... | 42.272085 | 322 | 0.655438 | #!/usr/bin/python3
# coding: utf-8
#
# Project: freesas
# https://github.com/kif/freesas
#
# Copyright (C) 2020 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation fi... | 4 | 0 | 0 | 0 | 0 | 1,186 | 0 | -16 | 94 |
ac84974f2ca52ac2301d8a81d59e2c86d4cf9645 | 966 | py | Python | config/urls.py | copydataai/clon-trello | f088a6da770d9cc32decad6ae45637207d91a80b | [
"MIT"
] | null | null | null | config/urls.py | copydataai/clon-trello | f088a6da770d9cc32decad6ae45637207d91a80b | [
"MIT"
] | null | null | null | config/urls.py | copydataai/clon-trello | f088a6da770d9cc32decad6ae45637207d91a80b | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path
from drf_spectacular.views import SpectacularAPIView, SpectacularSwaggerView
# API URLS
urlpatterns = [
# API base url
path(settings.ADMIN_URL, admin.site.urls),
... | 35.777778 | 85 | 0.723602 | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path
from drf_spectacular.views import SpectacularAPIView, SpectacularSwaggerView
# API URLS
urlpatterns = [
# API base url
path(settings.ADMIN_URL, admin.site.urls),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2a926b3a01ca9f414016203d9b6e5ec81586ac48 | 1,789 | py | Python | lda_classification/model/tomotopy_lda_vectorizer.py | FeryET/lda_classification | 530f972b8955c9f51668475ef640cb644f9b3ab7 | [
"MIT"
] | 8 | 2020-10-12T07:35:13.000Z | 2022-02-24T21:30:31.000Z | lda_classification/model/tomotopy_lda_vectorizer.py | FeryET/LDAThis | 530f972b8955c9f51668475ef640cb644f9b3ab7 | [
"MIT"
] | null | null | null | lda_classification/model/tomotopy_lda_vectorizer.py | FeryET/LDAThis | 530f972b8955c9f51668475ef640cb644f9b3ab7 | [
"MIT"
] | 3 | 2021-01-12T22:45:15.000Z | 2022-01-15T02:25:04.000Z |
"""
tw=TermWeight.ONE, min_cf=0, min_df=0, rm_top=0, k=1, alpha=0.1, eta=0.01,
seed=None, corpus=None, transform=None
"""
| 37.270833 | 79 | 0.642817 | from sklearn.base import BaseEstimator, TransformerMixin
from tomotopy import LDAModel
import numpy as np
from scipy.sparse import csr_matrix, csc_matrix
"""
tw=TermWeight.ONE, min_cf=0, min_df=0, rm_top=0, k=1, alpha=0.1, eta=0.01,
seed=None, corpus=None, transform=None
"""
class TomotopyLDAVectorizer(BaseEstimato... | 0 | 0 | 0 | 1,487 | 0 | 0 | 0 | 66 | 111 |
583a19b653c9fec90b8b140b1bbb0807eb12ad60 | 36 | py | Python | lists.py | tacowerkz/tutor.py | 90862013f3e4eed5648ced228e674c35217699c1 | [
"MIT"
] | null | null | null | lists.py | tacowerkz/tutor.py | 90862013f3e4eed5648ced228e674c35217699c1 | [
"MIT"
] | null | null | null | lists.py | tacowerkz/tutor.py | 90862013f3e4eed5648ced228e674c35217699c1 | [
"MIT"
] | null | null | null |
content = "my pride was beatufil"
| 9 | 33 | 0.694444 |
content = "my pride was beatufil"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
62a3fa406c46839b1feec67c53ef310f2a088f02 | 110 | py | Python | rllib/agents/__init__.py | carlos-aguayo/ray | fedbdd5dc6a47aa9cba170816f8c0950193b4fd6 | [
"Apache-2.0"
] | null | null | null | rllib/agents/__init__.py | carlos-aguayo/ray | fedbdd5dc6a47aa9cba170816f8c0950193b4fd6 | [
"Apache-2.0"
] | null | null | null | rllib/agents/__init__.py | carlos-aguayo/ray | fedbdd5dc6a47aa9cba170816f8c0950193b4fd6 | [
"Apache-2.0"
] | null | null | null | from ray.rllib.agents.trainer import Trainer, with_common_config
__all__ = ["Trainer", "with_common_config"]
| 27.5 | 64 | 0.8 | from ray.rllib.agents.trainer import Trainer, with_common_config
__all__ = ["Trainer", "with_common_config"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5195691dea0aea3be0af683764406f56bcd8e61c | 2,430 | py | Python | tests/unit/test_utils.py | dataiku-research/mealy | 039978fbb4bbda4e89e55ae05a75bdb3560191e2 | [
"Apache-2.0"
] | 12 | 2021-09-17T19:58:09.000Z | 2022-03-22T16:04:05.000Z | tests/unit/test_utils.py | dataiku-research/mealy | 039978fbb4bbda4e89e55ae05a75bdb3560191e2 | [
"Apache-2.0"
] | 16 | 2021-02-03T16:29:54.000Z | 2021-05-27T14:15:52.000Z | tests/unit/test_utils.py | dataiku/mealy | 52fa90aa2e8dc16cf846d0590fcd7ee710dcd862 | [
"Apache-2.0"
] | null | null | null | from .. import generate_preprocessing_steps
| 39.836066 | 89 | 0.669136 | from unittest import TestCase
from unittest.mock import patch, Mock
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder
from .. import generate_preprocessing_steps
class TestFeatureTransformer(TestCase):
def test_generate_preprocessing_steps_pipeline(self):
ohe = Mock(spe... | 0 | 0 | 0 | 2,208 | 0 | 0 | 0 | 66 | 111 |
aeacda2fef2a86bb7a7109c214fc2efd28560e30 | 826 | py | Python | tests/unit/test_base.py | Paperspace/paperspace-python | 93bdacab520ffc538ecf4d142c5f84c40446d619 | [
"0BSD"
] | 47 | 2017-07-07T11:29:13.000Z | 2021-03-15T21:49:56.000Z | tests/unit/test_base.py | Paperspace/paperspace-python | 93bdacab520ffc538ecf4d142c5f84c40446d619 | [
"0BSD"
] | 14 | 2018-04-11T10:12:54.000Z | 2019-05-31T16:17:28.000Z | tests/unit/test_base.py | Paperspace/paperspace-python | 93bdacab520ffc538ecf4d142c5f84c40446d619 | [
"0BSD"
] | 7 | 2017-08-27T11:21:35.000Z | 2019-06-03T23:52:47.000Z |
output_response = ""
| 21.179487 | 71 | 0.575061 | from collections import OrderedDict
import mock
from paperspace.commands.common import CommandBase
output_response = ""
class TestBaseClass(object):
def test_json_print(self):
global output_response
output_response = ""
def log_to_var(message):
global output_response
... | 0 | 0 | 0 | 679 | 0 | 0 | 0 | 33 | 91 |
fb366580413c75d908917d8f1e7f980034266206 | 2,389 | py | Python | wencai/core/event.py | bruce2792/wencai | 1b4e8bdcb02e594e575601c0893c1b356cc2256b | [
"MIT"
] | null | null | null | wencai/core/event.py | bruce2792/wencai | 1b4e8bdcb02e594e575601c0893c1b356cc2256b | [
"MIT"
] | null | null | null | wencai/core/event.py | bruce2792/wencai | 1b4e8bdcb02e594e575601c0893c1b356cc2256b | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
global_cn_col = False
global_proxies = None
verify = False
| 47.78 | 139 | 0.566764 | # -*- coding:utf-8 -*-
from wencai.core.crawler import Wencai
global_cn_col = False
global_proxies = None
verify = False
def set_variable(cn_col=False, proxies=None, is_verify=False):
global global_cn_col, global_proxies, verify
global_cn_col = cn_col
global_proxies = proxies
verify = is_verify
def... | 0 | 0 | 0 | 0 | 0 | 2,124 | 0 | 17 | 160 |
5f753cee051e2714203f37002751b3e9d750c1f6 | 1,946 | py | Python | sustancia quimica.py | CodeHuntersLab/SustanciaQuimica | 533955438a54fc1a70792ba32399d0c40d356b99 | [
"Apache-2.0"
] | null | null | null | sustancia quimica.py | CodeHuntersLab/SustanciaQuimica | 533955438a54fc1a70792ba32399d0c40d356b99 | [
"Apache-2.0"
] | null | null | null | sustancia quimica.py | CodeHuntersLab/SustanciaQuimica | 533955438a54fc1a70792ba32399d0c40d356b99 | [
"Apache-2.0"
] | null | null | null | import turtle
setup(600,490)
bgcolor("white")
title("Curie")
estructuraquimica(5)
hideturtle()
turtle.exitonclick() | 16.921739 | 47 | 0.644399 | from turtle import*
import turtle
setup(600,490)
bgcolor("white")
title("Curie")
def estructuraquimica(velocidad):
cpq = turtle.Turtle()
cpq.speed(velocidad)
cpq.pencolor("black")
cpq.pensize(3)
cpq.begin_fill()
cpq.penup()
cpq.left(30)
cpq.forward(280)
cpq.pendown()
cpq.right(175)
cpq.fo... | 2 | 0 | 0 | 0 | 0 | 1,774 | 0 | -2 | 48 |
5db2263ca53d29361f1661366eb57fa44663825d | 2,043 | py | Python | application.py | phoughton/ensign | 946b513c0df7ae82da73e9cd3b5fe04471e641de | [
"MIT"
] | null | null | null | application.py | phoughton/ensign | 946b513c0df7ae82da73e9cd3b5fe04471e641de | [
"MIT"
] | null | null | null | application.py | phoughton/ensign | 946b513c0df7ae82da73e9cd3b5fe04471e641de | [
"MIT"
] | null | null | null | from flask import Flask
from fastai.learner import load_learner
import pathlib
import platform
application = Flask(__name__)
application.config['MAX_CONTENT_LENGTH'] = 12 * 1024 * 1024
MIN_STANDARD = 0.9
# Workaround pytorch issue with models developed on linux being used on Windows
if platform.system() == 'Windows'... | 37.145455 | 138 | 0.610866 | from flask import Flask
from flask import request, redirect, render_template
from fastai.learner import load_learner
import pathlib
from fastai.vision.core import PILImage
import platform
application = Flask(__name__)
application.config['MAX_CONTENT_LENGTH'] = 12 * 1024 * 1024
MIN_STANDARD = 0.9
# Workaround pytorch... | 0 | 1,260 | 0 | 0 | 0 | 94 | 0 | 49 | 113 |
b9df7b6e2812f63f6fbc00dc9ee6b84c136862bd | 5,655 | py | Python | tcrdist/automate.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 26 | 2020-12-28T17:37:01.000Z | 2022-01-29T01:31:13.000Z | tcrdist/automate.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 31 | 2020-08-17T22:17:57.000Z | 2022-03-18T23:47:34.000Z | tcrdist/automate.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 7 | 2020-08-18T23:55:40.000Z | 2021-09-22T18:15:54.000Z | """
Functions that automate expressive functions of tcrdist3.
These use sensible defaults but users should consider
flexibile elements of these functions that might better
suit their specific data or research questions.
"""
"""
Test Automatic Pgen Esimator Functions
"""
def auto_pgen(tcrrep):
"""
Automate a pge... | 28.705584 | 101 | 0.770115 | """
Functions that automate expressive functions of tcrdist3.
These use sensible defaults but users should consider
flexibile elements of these functions that might better
suit their specific data or research questions.
"""
import os
import pandas as pd
import numpy as np
import warnings
from progress.bar import I... | 0 | 0 | 0 | 0 | 0 | 435 | 0 | -5 | 133 |
5052b9e7d291434daf0bf2dd403df7740ad1ec46 | 3,465 | py | Python | install/app_store/tk-multi-publish/v0.10.7/python/tk_multi_publish/ui/item_list.py | JoanAzpeitia/lp_sg | e0ee79555e419dd2ae3a5f31e5515b3f40b22a62 | [
"MIT"
] | null | null | null | install/app_store/tk-multi-publish/v0.10.7/python/tk_multi_publish/ui/item_list.py | JoanAzpeitia/lp_sg | e0ee79555e419dd2ae3a5f31e5515b3f40b22a62 | [
"MIT"
] | null | null | null | install/app_store/tk-multi-publish/v0.10.7/python/tk_multi_publish/ui/item_list.py | JoanAzpeitia/lp_sg | e0ee79555e419dd2ae3a5f31e5515b3f40b22a62 | [
"MIT"
] | 1 | 2020-02-15T10:42:56.000Z | 2020-02-15T10:42:56.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'item_list.ui'
#
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
| 45.592105 | 193 | 0.715152 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'item_list.ui'
#
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
from tank.platform.qt import QtCore, QtGui
class Ui_ItemList(object):
def setupUi(self, ItemList):
It... | 0 | 0 | 0 | 3,165 | 0 | 0 | 0 | 26 | 69 |
836ce298a3d47bd247735f251ea9f154e23cbf09 | 1,093 | py | Python | src/fractal/demon/basic/laws.py | jedhsu/fractal | 97833ddc5063fae72352cf590738fef508c02f0c | [
"MIT"
] | null | null | null | src/fractal/demon/basic/laws.py | jedhsu/fractal | 97833ddc5063fae72352cf590738fef508c02f0c | [
"MIT"
] | null | null | null | src/fractal/demon/basic/laws.py | jedhsu/fractal | 97833ddc5063fae72352cf590738fef508c02f0c | [
"MIT"
] | null | null | null | """
*War*
Parameters that govern the evaluation process that compares
the current neural network with the best one seen so far
(which is used to generate data).
"""
"""
# Explanation (two-player games)
* The two competing networks are instantiated into two MCTS players
of parameter `mcts` and then pl... | 26.02381 | 86 | 0.755718 | """
*War*
Parameters that govern the evaluation process that compares
the current neural network with the best one seen so far
(which is used to generate data).
"""
from dataclasses import dataclass
"""
# Explanation (two-player games)
* The two competing networks are instantiated into two MCTS player... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 23 |
e232881fe48e1a81885e2540f860a3181646607e | 1,385 | py | Python | tests/test_types.py | daitakahashi/tinydb-query | 2090bc57eb368bce435a737979c6bb35476807bf | [
"MIT"
] | null | null | null | tests/test_types.py | daitakahashi/tinydb-query | 2090bc57eb368bce435a737979c6bb35476807bf | [
"MIT"
] | null | null | null | tests/test_types.py | daitakahashi/tinydb-query | 2090bc57eb368bce435a737979c6bb35476807bf | [
"MIT"
] | null | null | null | import numbers
TESTSET = [
(
{'blob': {'$types': ['string']}},
lambda x: isinstance(x['blob'], str)
), (
{'blob': {'$types': ['number']}},
lambda x: isinstance(x['blob'], numbers.Number)
), (
{'blob': {'$types': ['boolean']}},
lambda x: isinstance(x['blob'], ... | 24.732143 | 55 | 0.47509 | import numbers
import pytest
TESTSET = [
(
{'blob': {'$types': ['string']}},
lambda x: isinstance(x['blob'], str)
), (
{'blob': {'$types': ['number']}},
lambda x: isinstance(x['blob'], numbers.Number)
), (
{'blob': {'$types': ['boolean']}},
lambda x: isinstan... | 0 | 185 | 0 | 0 | 0 | 0 | 0 | -8 | 68 |
63b3d331ef144c7ad74d79b4c3d07d950d9c17c3 | 358 | py | Python | esque/cli/commands/create/__init__.py | real-digital/esque | 0b779fc308ce8bce45c1903f36c33664b2e832e7 | [
"MIT"
] | 29 | 2019-05-10T21:12:38.000Z | 2021-08-24T08:09:49.000Z | esque/cli/commands/create/__init__.py | real-digital/esque | 0b779fc308ce8bce45c1903f36c33664b2e832e7 | [
"MIT"
] | 103 | 2019-05-17T07:21:41.000Z | 2021-12-02T08:29:00.000Z | esque/cli/commands/create/__init__.py | real-digital/esque | 0b779fc308ce8bce45c1903f36c33664b2e832e7 | [
"MIT"
] | 2 | 2019-05-28T06:45:14.000Z | 2019-11-21T00:33:15.000Z |
from .consumergroup import create_consumergroup
from .topic import create_topic
create.add_command(create_consumergroup)
create.add_command(create_topic)
| 21.058824 | 79 | 0.815642 | import click
from esque.cli.options import State, default_options
from .consumergroup import create_consumergroup
from .topic import create_topic
@click.group(help="Create a new instance of a resource.", no_args_is_help=True)
@default_options
def create(state: State):
pass
create.add_command(create_consumergr... | 0 | 110 | 0 | 0 | 0 | 0 | 0 | 22 | 68 |
143ebc229df4891cea29b076302b9427e714e0b2 | 263 | py | Python | pyvisdk/enums/net_bios_config_info_mode.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/enums/net_bios_config_info_mode.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/enums/net_bios_config_info_mode.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null |
########################################
# Automatically generated, do not edit.
########################################
from pyvisdk.thirdparty import Enum
NetBIOSConfigInfoMode = Enum(
'disabled',
'enabled',
'enabledViaDHCP',
'unknown',
)
| 16.4375 | 40 | 0.467681 |
########################################
# Automatically generated, do not edit.
########################################
from pyvisdk.thirdparty import Enum
NetBIOSConfigInfoMode = Enum(
'disabled',
'enabled',
'enabledViaDHCP',
'unknown',
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0d30b15b243554dab45f11e6eedf8d4242270c45 | 2,949 | py | Python | memobuilder/mtrainer/trainer.py | stbalduin/memobuilder | c99eb8e711d5109c1322f443441b5a07c079e2f0 | [
"MIT"
] | null | null | null | memobuilder/mtrainer/trainer.py | stbalduin/memobuilder | c99eb8e711d5109c1322f443441b5a07c079e2f0 | [
"MIT"
] | null | null | null | memobuilder/mtrainer/trainer.py | stbalduin/memobuilder | c99eb8e711d5109c1322f443441b5a07c079e2f0 | [
"MIT"
] | null | null | null | """ """
| 35.963415 | 79 | 0.672092 | """ """
from sklearn.model_selection import train_test_split
from memobuilder import mtrainer as memotrainer
from memobuilder.mdb import memomodel
class SurrogateModelTrainer(object):
def __init__(self, test_split_ratio=0.2, num_cv_folds=5):
self.name = None
self.metamodel_trainer = Tra... | 0 | 0 | 0 | 2,742 | 0 | 0 | 0 | 73 | 121 |
93fdcad87fe85750724c2d69dc3e999a1759702d | 2,208 | py | Python | examples/hello_procedural.py | isabella232/wamr-python | 44a296304c6649f03a22ff275a812db43efd068b | [
"Apache-2.0"
] | 2 | 2022-03-07T05:04:39.000Z | 2022-03-12T08:07:36.000Z | examples/hello_procedural.py | bytecodealliance/wamr-python | 82e6a5678fb9e838f67ef6ed49a92f69eb85ff2c | [
"Apache-2.0"
] | 2 | 2022-02-28T22:46:50.000Z | 2022-03-04T03:22:39.000Z | examples/hello_procedural.py | isabella232/wamr-python | 44a296304c6649f03a22ff275a812db43efd068b | [
"Apache-2.0"
] | 4 | 2022-01-24T09:09:53.000Z | 2022-03-20T19:06:27.000Z | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
#
# Copyright (C) 2019 Intel Corporation. All rights reserved.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
if __name__ == "__main__":
main()
| 25.976471 | 87 | 0.699728 | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
#
# Copyright (C) 2019 Intel Corporation. All rights reserved.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
import ctypes
from wamr.ffi import *
def hello_callback(args, results):
print("Calling back...")
print("> Hello World!")
return 0
def... | 0 | 0 | 0 | 0 | 0 | 1,888 | 0 | -7 | 113 |
86403c36150e08b964402a883cb2a095cb0c3f46 | 7,001 | py | Python | calm/dsl/cli/app_commands.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | calm/dsl/cli/app_commands.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | calm/dsl/cli/app_commands.py | nutanixdev/calm-dsl | 90e1c583d7b9ac905cdfb3e2ad27f9f930e69831 | [
"Apache-2.0"
] | null | null | null | from calm.dsl.log import get_logging_handle
LOG = get_logging_handle(__name__)
| 26.123134 | 91 | 0.675189 | import click
from calm.dsl.api import get_api_client
from .main import main, get, describe, delete, run, watch, download, create
from .utils import Display, FeatureFlagGroup
from .apps import (
get_apps,
describe_app,
run_actions,
watch_action,
watch_app,
delete_app,
download_runlog,
c... | 0 | 5,880 | 0 | 0 | 0 | 348 | 0 | 221 | 457 |
e64b049eeb4f79a38078cf1765056519e11a4996 | 9,116 | py | Python | soundground/winman.py | bspst/soundground | 28259ed1067e0b038a2bdf4a1902ac825fbaf762 | [
"MIT"
] | 6 | 2017-12-18T10:30:15.000Z | 2021-08-05T14:09:38.000Z | soundground/winman.py | bspst/soundground | 28259ed1067e0b038a2bdf4a1902ac825fbaf762 | [
"MIT"
] | 4 | 2017-12-21T14:19:17.000Z | 2019-05-27T06:58:32.000Z | soundground/winman.py | bspst/soundground | 28259ed1067e0b038a2bdf4a1902ac825fbaf762 | [
"MIT"
] | 4 | 2017-12-18T10:29:59.000Z | 2018-06-03T09:02:04.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Window manager
Coordinates in (y, x) to be consistent with curses
"""
| 26.270893 | 90 | 0.541904 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Window manager
Coordinates in (y, x) to be consistent with curses
"""
from soundground import metadata, utils
import curses
import time
class Value(object):
"""
Defines a number used for relative calculations
"""
def __init__(self, percent_value, absol... | 0 | 0 | 0 | 8,813 | 0 | 0 | 0 | 0 | 182 |
49dad87a72c5c246404626aca65756c9887f9335 | 2,292 | py | Python | setup.py | KuangDD/phkit | de6d12e6718b238714d233607cecd8e7df8436ce | [
"MIT"
] | 113 | 2020-02-17T14:02:26.000Z | 2021-08-06T07:43:10.000Z | setup.py | kuangdd/phkit | b4247416b5f0aa1f1522c6b1cd0e613c476491b2 | [
"MIT"
] | 2 | 2020-04-15T02:00:00.000Z | 2020-06-09T09:14:16.000Z | setup.py | KuangDD/phkit | de6d12e6718b238714d233607cecd8e7df8436ce | [
"MIT"
] | 26 | 2020-04-24T03:34:37.000Z | 2021-08-05T04:47:08.000Z | #!usr/bin/env python
# -*- coding: utf-8 -*-
# author: kuangdd
# date: 2019/12/15
"""
whlpython setup.py bdist_wheel
pypipython setup.py sdist upload
twinepypi
python setup.py bdist_wheel
twine upload dist/phkit-0.3.0-py3-none-any.whl
home.pypirc
[distutils]
index-servers=pypi
[pypi]
repository = https://upload.py... | 26.344828 | 101 | 0.66274 | #!usr/bin/env python
# -*- coding: utf-8 -*-
# author: kuangdd
# date: 2019/12/15
"""
语音处理工具箱。
生成whl格式安装包：python setup.py bdist_wheel
直接上传pypi：python setup.py sdist upload
用twine上传pypi：
生成安装包：python setup.py bdist_wheel
上传安装包：twine upload dist/phkit-0.3.0-py3-none-any.whl
注意：需要在home目录下建立.pypirc配置文件，文件内容格式：
[distutil... | 303 | 0 | 0 | 0 | 0 | 418 | 0 | 0 | 46 |
b15a7575c351597937eb5f79e67946659d2392f1 | 3,229 | py | Python | examples/attacks.py | dli7319/cmsc498v_convex | 5578b8f07575860a93eb4894ce9f7b224c90cba9 | [
"MIT"
] | 349 | 2017-11-03T11:55:27.000Z | 2022-03-24T10:45:21.000Z | examples/attacks.py | dli7319/cmsc498v_convex | 5578b8f07575860a93eb4894ce9f7b224c90cba9 | [
"MIT"
] | 35 | 2018-02-27T21:57:52.000Z | 2022-03-11T14:58:28.000Z | examples/attacks.py | dli7319/cmsc498v_convex | 5578b8f07575860a93eb4894ce9f7b224c90cba9 | [
"MIT"
] | 84 | 2017-12-11T04:52:08.000Z | 2021-11-03T06:27:56.000Z | import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
import torchvision.datasets as datasets
| 33.28866 | 119 | 0.593373 | import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from convex_adversarial import robust_loss
class Flatten(nn.Module):
def forward(self, x):
return x.view(x.size(0), -1)
def... | 0 | 0 | 0 | 67 | 0 | 2,773 | 0 | 26 | 227 |
8d1e337949743c66a06ba7436ef71c6e7a5e537b | 925 | py | Python | built-in/TensorFlow/Research/recommendation/DeepFM_for_TensorFlow/configs/config.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | null | null | null | built-in/TensorFlow/Research/recommendation/DeepFM_for_TensorFlow/configs/config.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/TensorFlow/Research/recommendation/DeepFM_for_TensorFlow/configs/config.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | null | null | null | BASE_DIR = './'
num_gpu = 1
num_inputs = 39
num_features = 200000
batch_size = 16000
multi_hot_flags = [False]
multi_hot_len = 1
n_epoches = 20
iteration_per_loop = 10
#one_step = 60/iteration_per_loop # for one step debug
one_step = 0
line_per_sample = 1000
graph_path = "./"
# n_step_update = 10
#test_record = "... | 26.428571 | 87 | 0.762162 | BASE_DIR = './'
num_gpu = 1
num_inputs = 39
num_features = 200000
batch_size = 16000
multi_hot_flags = [False]
multi_hot_len = 1
n_epoches = 20
iteration_per_loop = 10
#one_step = 60/iteration_per_loop # for one step debug
one_step = 0
line_per_sample = 1000
graph_path = "./"
# n_step_update = 10
#test_record = "... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f9aaa71d7e7327d95e2013a050f319f927640be | 1,803 | py | Python | app.py | stone-payments/athena | 15f548ce569be35e26ea4fd08488e0120da7a25e | [
"Apache-2.0"
] | 2 | 2019-06-04T17:25:24.000Z | 2019-07-10T15:05:10.000Z | app.py | stone-payments/athena | 15f548ce569be35e26ea4fd08488e0120da7a25e | [
"Apache-2.0"
] | 1 | 2021-06-01T21:45:31.000Z | 2021-06-01T21:45:31.000Z | app.py | stone-payments/athena | 15f548ce569be35e26ea4fd08488e0120da7a25e | [
"Apache-2.0"
] | 2 | 2018-06-11T18:48:01.000Z | 2020-06-22T12:40:29.000Z | from collectors_and_savers.saver import SaverThread
db = Mongraph(db_name=db_name, db_url=db_url, username=username, password=password, mongo_port=mongo_port,
hash_indexes=hash_indexes, hash_indexes_unique=hash_indexes_unique,
full_text_indexes=full_text_indexes)
save_queue = Queue(queue_ma... | 40.977273 | 106 | 0.700499 | from collections_edges import *
from collectors_and_savers.saver import SaverThread
from custom_configurations.config import *
from graphql_queries.graphql_queries import *
from mongodb_queries.mongodb_queries import *
from mongodb_connect.mongraph import *
from collection_modules.log_message import *
db = Mongraph(db... | 0 | 0 | 0 | 0 | 0 | 937 | 0 | 119 | 155 |
abb3449a5dfa589d6853531001a544c8fce20201 | 1,472 | py | Python | dragonfire/conversational/corpus/ubuntudata.py | kameranis/Dragonfire | 8ba4e588d3fd40257ed4e7ac9138f88d2bc0b3da | [
"MIT"
] | 1 | 2019-06-12T17:12:29.000Z | 2019-06-12T17:12:29.000Z | dragonfire/conversational/corpus/ubuntudata.py | kameranis/Dragonfire | 8ba4e588d3fd40257ed4e7ac9138f88d2bc0b3da | [
"MIT"
] | 2 | 2022-02-10T06:30:37.000Z | 2022-02-10T06:50:22.000Z | dragonfire/deepconv/corpus/ubuntudata.py | Allyn69/Dragonfire | 4c0e873e0bee3553bf14dfb1dded85e7fa515434 | [
"MIT"
] | 1 | 2019-01-16T05:10:38.000Z | 2019-01-16T05:10:38.000Z |
"""
Ubuntu Dialogue Corpus
http://arxiv.org/abs/1506.08909
"""
| 26.285714 | 110 | 0.543478 | import os
from tqdm import tqdm
"""
Ubuntu Dialogue Corpus
http://arxiv.org/abs/1506.08909
"""
class UbuntuData:
"""
"""
def __init__(self, dirName):
"""
Args:
dirName (string): directory where to load the corpus
"""
self.MAX_NUMBER_SUBDIR = 10
self.... | 0 | 0 | 0 | 1,350 | 0 | 0 | 0 | -12 | 68 |
be2da8598b6eb480599d3a639e5beaceb7a6775a | 3,115 | py | Python | cea/interfaces/arcgis/CityEnergyAnalyst.py | pajotca/CityEnergyAnalyst | f3d0a08f7b5f5967961bf831625544a95c7702f0 | [
"MIT"
] | null | null | null | cea/interfaces/arcgis/CityEnergyAnalyst.py | pajotca/CityEnergyAnalyst | f3d0a08f7b5f5967961bf831625544a95c7702f0 | [
"MIT"
] | null | null | null | cea/interfaces/arcgis/CityEnergyAnalyst.py | pajotca/CityEnergyAnalyst | f3d0a08f7b5f5967961bf831625544a95c7702f0 | [
"MIT"
] | null | null | null | """
ArcGIS Toolbox for integrating the CEA with ArcGIS.
ArcGIS starts by creating an instance of Toolbox, which in turn names the tools to include in the interface.
These tools shell out to ``cli.py`` because the ArcGIS python version is old and can't be updated. Therefore
we would decouple the python version used by... | 37.083333 | 120 | 0.685393 | """
ArcGIS Toolbox for integrating the CEA with ArcGIS.
ArcGIS starts by creating an instance of Toolbox, which in turn names the tools to include in the interface.
These tools shell out to ``cli.py`` because the ArcGIS python version is old and can't be updated. Therefore
we would decouple the python version used by... | 0 | 0 | 0 | 1,385 | 0 | 0 | 0 | 20 | 114 |
4de0c9a0b5e4267fc00eac9b3f4d73d0299cb74d | 3,928 | py | Python | junos_rest/parser.py | checktheroads/junos-rest | df9df95b13ac9d02e67c025a4e43d0ad112b7897 | [
"WTFPL"
] | 2 | 2020-01-24T21:54:50.000Z | 2020-03-07T23:36:53.000Z | junos_rest/parser.py | checktheroads/junos-rest | df9df95b13ac9d02e67c025a4e43d0ad112b7897 | [
"WTFPL"
] | null | null | null | junos_rest/parser.py | checktheroads/junos-rest | df9df95b13ac9d02e67c025a4e43d0ad112b7897 | [
"WTFPL"
] | null | null | null | """Parsing functions for JunOS XML/HTTP responses."""
# Third Party Imports
from boltons.iterutils import remap
# Project Imports
_NAMESPACES = {
"http://xml.juniper.net/xnm/1.1/xnm:error": "error",
"http://xml.juniper.net/xnm/1.1/xnm:token": "token",
"http://xml.juniper.net/xnm/1.1/xnm:message": "messag... | 29.757576 | 87 | 0.613289 | """Parsing functions for JunOS XML/HTTP responses."""
# Third Party Imports
import xmltodict
from boltons.iterutils import remap
# Project Imports
from junos_rest.constants import RESULTS
_NAMESPACES = {
"http://xml.juniper.net/xnm/1.1/xnm:error": "error",
"http://xml.juniper.net/xnm/1.1/xnm:token": "token",... | 0 | 0 | 1,953 | 0 | 0 | 0 | 0 | 14 | 90 |
c2a4ae281d2e676fb1c503292ee3797a034eb4ce | 384 | py | Python | chapter-4/timeoutflow.py | outerbounds/dsbook | 411b55c2057a3ba1e1d893cde03d6ec97d529969 | [
"Apache-2.0"
] | 27 | 2021-05-29T14:36:34.000Z | 2022-03-22T10:12:40.000Z | chapter-4/timeoutflow.py | saibaldas/dsbook | be6b4670ed33a2001de8f28f6fb4151111cb26ca | [
"Apache-2.0"
] | null | null | null | chapter-4/timeoutflow.py | saibaldas/dsbook | be6b4670ed33a2001de8f28f6fb4151111cb26ca | [
"Apache-2.0"
] | 6 | 2021-05-29T14:36:40.000Z | 2022-03-09T14:57:46.000Z |
if __name__ == '__main__':
TimeoutFlow() | 19.2 | 51 | 0.578125 | from metaflow import FlowSpec, timeout, step, retry
import time
class TimeoutFlow(FlowSpec):
@retry
@timeout(seconds=5)
@step
def start(self):
for i in range(int(time.time() % 10)):
print(i)
time.sleep(1)
self.next(self.end)
@step
def end(self):
... | 0 | 191 | 0 | 7 | 0 | 0 | 0 | 20 | 121 |
07a86dd4b6595df924e8f400e51ac15395925039 | 850 | py | Python | ums/userapp/actions/__init__.py | hookehu/web | 637047ff47bf5df6ee3152e6976162bb8e85531c | [
"MIT"
] | null | null | null | ums/userapp/actions/__init__.py | hookehu/web | 637047ff47bf5df6ee3152e6976162bb8e85531c | [
"MIT"
] | null | null | null | ums/userapp/actions/__init__.py | hookehu/web | 637047ff47bf5df6ee3152e6976162bb8e85531c | [
"MIT"
] | null | null | null | #-*- coding:utf-8 -*-
actions = {}
init_pkg()
| 25 | 49 | 0.515294 | #-*- coding:utf-8 -*-
import os
actions = {}
def init_pkg():
#print os.path.dirname(__file__)
files = os.listdir(os.path.dirname(__file__))
for file in files:
fns = file.split('.')
if len(fns) < 2:
continue
if fns[1] != 'py':
continue
if fns[0] == '__... | 0 | 0 | 0 | 0 | 0 | 747 | 0 | -12 | 67 |
56000331a30f5b48371ea12bf125b26ee06aa709 | 1,950 | py | Python | third_party/WebKit/Tools/Scripts/webkitpy/common/html_diff.py | google-ar/chromium | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 777 | 2017-08-29T15:15:32.000Z | 2022-03-21T05:29:41.000Z | third_party/WebKit/Tools/Scripts/webkitpy/common/html_diff.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 66 | 2017-08-30T18:31:18.000Z | 2021-08-02T10:59:35.000Z | third_party/WebKit/Tools/Scripts/webkitpy/common/html_diff.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 123 | 2017-08-30T01:19:34.000Z | 2022-03-17T22:55:31.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Utility for outputting a HTML diff of two multi-line strings.
The main purpose of this utility is to show the difference between
text baselines (-expecte... | 30 | 78 | 0.69641 | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Utility for outputting a HTML diff of two multi-line strings.
The main purpose of this utility is to show the difference between
text baselines (-expecte... | 0 | 0 | 0 | 0 | 0 | 740 | 0 | -7 | 115 |
78d590937fe6d9686ecf625134b085c5f1e14ae5 | 6,373 | py | Python | examples/cifar10/train.py | fidelity/stoke | 7c993c4d1dcdfeae2a838c6396b88452dfa1b7ad | [
"Apache-2.0"
] | 42 | 2021-06-23T19:36:54.000Z | 2022-01-25T08:21:21.000Z | examples/cifar10/train.py | fidelity/stoke | 7c993c4d1dcdfeae2a838c6396b88452dfa1b7ad | [
"Apache-2.0"
] | 22 | 2021-06-23T20:31:49.000Z | 2022-03-28T05:11:48.000Z | examples/cifar10/train.py | fidelity/stoke | 7c993c4d1dcdfeae2a838c6396b88452dfa1b7ad | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright FMR LLC <opensource@fidelity.com>
# SPDX-License-Identifier: Apache-2.0
"""CIFAR10 training script demonstrating a few different stoke options
Based loosely on: https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html
"""
if __name__ == "__main__":
main()
| 34.080214 | 118 | 0.661855 | # -*- coding: utf-8 -*-
# Copyright FMR LLC <opensource@fidelity.com>
# SPDX-License-Identifier: Apache-2.0
"""CIFAR10 training script demonstrating a few different stoke options
Based loosely on: https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html
"""
import torch
import torchvision.datasets as tv_d... | 0 | 0 | 0 | 0 | 0 | 5,588 | 0 | 180 | 290 |
1db5cbca273aa598c3db5c705adde5e13cc1fd2a | 997 | py | Python | module/standard-library/ftplib/app.py | treedbox/python-3-basic-exercises | 631e86f8ad97bca7ab06e1f3ebd9d104fc5c43b8 | [
"MIT"
] | null | null | null | module/standard-library/ftplib/app.py | treedbox/python-3-basic-exercises | 631e86f8ad97bca7ab06e1f3ebd9d104fc5c43b8 | [
"MIT"
] | null | null | null | module/standard-library/ftplib/app.py | treedbox/python-3-basic-exercises | 631e86f8ad97bca7ab06e1f3ebd9d104fc5c43b8 | [
"MIT"
] | null | null | null | from ftplib import FTP
from os.path import abspath, join, dirname
host = 'your.com'
user = 'youlogin'
password = 'yourpass'
remotedir = '/folder/on/server/'
filename = 'file.txt'
localdir = abspath(dirname(__file__))
absFilePathAutoSlash = abspath(join(dirname(__file__), filename))
ftp = FTP(host)
ftp.login(user=use... | 20.770833 | 73 | 0.705115 | from ftplib import FTP
from os.path import abspath, join, dirname
host = 'your.com'
user = 'youlogin'
password = 'yourpass'
remotedir = '/folder/on/server/'
filename = 'file.txt'
localdir = abspath(dirname(__file__))
absFilePathAutoSlash = abspath(join(dirname(__file__), filename))
ftp = FTP(host)
ftp.login(user=use... | 0 | 0 | 0 | 0 | 0 | 218 | 0 | 0 | 44 |
b47d40a7073d5fdf1b8015c7eacb2aaf529a0e2f | 1,649 | py | Python | main.py | agranium/pydl | bdd076f5c21dbabb35b77ef48b68cc1a3fe713f2 | [
"MIT"
] | null | null | null | main.py | agranium/pydl | bdd076f5c21dbabb35b77ef48b68cc1a3fe713f2 | [
"MIT"
] | null | null | null | main.py | agranium/pydl | bdd076f5c21dbabb35b77ef48b68cc1a3fe713f2 | [
"MIT"
] | null | null | null | """
pyDL
Python Selenium CLI
Chrome
"""
if __name__ == "__main__":
cmd(obj={})
| 23.898551 | 105 | 0.606428 | """
pyDL
Python と Selenium を使用したCLIダウンローダー。
Chromeのプロファイルを指定するとキャッシュを流用できる。
"""
import click
import json
import dl
@click.group()
@click.option('--incomplete', '-i', type=str, default='./incomplete', help='Incomplete Files Directory.')
@click.option('--download', '-d', type=str, default='./download', help='Downloa... | 117 | 1,390 | 0 | 0 | 0 | 0 | 0 | -31 | 159 |
46023abe514a170bb1a44fa4af80bd684ee3edc3 | 700 | py | Python | examples/Graph_Neural_Networks/Common/Node2vec.py | EdisonLeeeee/GraphGallery | 4eec9c5136bda14809bd22584b26cc346cdb633b | [
"MIT"
] | 300 | 2020-08-09T04:27:41.000Z | 2022-03-30T07:43:41.000Z | examples/Graph_Neural_Networks/Common/Node2vec.py | EdisonLeeeee/GraphGallery | 4eec9c5136bda14809bd22584b26cc346cdb633b | [
"MIT"
] | 5 | 2020-11-05T06:16:50.000Z | 2021-12-11T05:05:22.000Z | examples/Graph_Neural_Networks/Common/Node2vec.py | EdisonLeeeee/GraphGallery | 4eec9c5136bda14809bd22584b26cc346cdb633b | [
"MIT"
] | 51 | 2020-09-23T15:37:12.000Z | 2022-03-05T01:28:56.000Z | #!/usr/bin/env python
# coding: utf-8
import graphgallery
print("GraphGallery version: ", graphgallery.__version__)
'''
Load Datasets
- cora/citeseer/pubmed
'''
from graphgallery.datasets import Planetoid
data = Planetoid('cora', root="~/GraphData/datasets/", verbose=False)
graph = data.graph
splits = ... | 26.923077 | 70 | 0.665714 | #!/usr/bin/env python
# coding: utf-8
import graphgallery
print("GraphGallery version: ", graphgallery.__version__)
'''
Load Datasets
- cora/citeseer/pubmed
'''
from graphgallery.datasets import Planetoid
data = Planetoid('cora', root="~/GraphData/datasets/", verbose=False)
graph = data.graph
splits = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
64d8298fd402b2365fa4d7ef66a2738ba51bdd1e | 3,080 | py | Python | embedding/tag_generation/gen_phraser_tags.py | akkefa/Islam-360 | 2fa49872f92e1abcb9a31a893b4654f7485711ae | [
"MIT"
] | null | null | null | embedding/tag_generation/gen_phraser_tags.py | akkefa/Islam-360 | 2fa49872f92e1abcb9a31a893b4654f7485711ae | [
"MIT"
] | null | null | null | embedding/tag_generation/gen_phraser_tags.py | akkefa/Islam-360 | 2fa49872f92e1abcb9a31a893b4654f7485711ae | [
"MIT"
] | null | null | null | """gensim phrases tags"""
from urduhack.preprocessing import remove_punctuation, replace_numbers
from urduhack.tokenization.words import fix_join_words
from sklearn.model_selection import ParameterGrid
from urduhack import normalize
from pathlib import Path
import pandas as pd
import json
from gensim.models.phrases ... | 35 | 104 | 0.666883 | """gensim phrases tags"""
from urduhack.preprocessing import remove_punctuation, replace_numbers
from urduhack.tokenization.words import fix_join_words
from urduhack.tokenization import sentence_tokenizer
from sklearn.model_selection import ParameterGrid
from urduhack import normalize
from urduhack.stop_words import S... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 44 |
b09d3db0223f486b3224ce57b43da9812196989d | 1,042 | py | Python | tomef/tokenizer/pt_tokenizer.py | unlikelymaths/tomef | 57b629a3ee932486c55afcf62ef9d8224488ae65 | [
"MIT"
] | null | null | null | tomef/tokenizer/pt_tokenizer.py | unlikelymaths/tomef | 57b629a3ee932486c55afcf62ef9d8224488ae65 | [
"MIT"
] | 14 | 2020-01-28T22:36:41.000Z | 2022-03-11T23:44:22.000Z | tomef/tokenizer/pt_tokenizer.py | unlikelymaths/tomef | 57b629a3ee932486c55afcf62ef9d8224488ae65 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # PT Tokenizer
# <div style="position: absolute; right:0;top:0"><a href="./tokenizer.ipynb" style="text-decoration: none"> <font size="5"></font></a>
# <a href="../evaluation.py.ipynb" style="text-decoration: none"> <font size="5"></font></a></div>
#
# This is a wrapper around ... | 22.652174 | 135 | 0.691939 | #!/usr/bin/env python
# coding: utf-8
# # PT Tokenizer
# <div style="position: absolute; right:0;top:0"><a href="./tokenizer.ipynb" style="text-decoration: none"> <font size="5">←</font></a>
# <a href="../evaluation.py.ipynb" style="text-decoration: none"> <font size="5">↑</font></a></div>
#
# This is a wrapper aroun... | 6 | 0 | 0 | 196 | 0 | 0 | 0 | 45 | 99 |
9e8b67848ea7acba12e81e06298ef6bed073818f | 656 | py | Python | benchmarks/xcrypto-ref/flow/benchmarks/mpn_plot_perf.py | gokhankici/iodine | 7b5d00eb37bf31b9d1c4e69e176271244e86b26f | [
"MIT"
] | 9 | 2019-05-31T08:52:38.000Z | 2021-12-12T15:31:00.000Z | benchmarks/xcrypto-ref/flow/benchmarks/mpn_plot_perf.py | gokhankici/xenon | d749abd865f2017cda323cf63cf38b585de9e7af | [
"MIT"
] | 6 | 2019-02-06T09:43:53.000Z | 2019-06-04T11:10:19.000Z | benchmarks/xcrypto-ref/flow/benchmarks/mpn_plot_perf.py | gokhankici/iodine | 7b5d00eb37bf31b9d1c4e69e176271244e86b26f | [
"MIT"
] | 1 | 2021-01-30T00:03:25.000Z | 2021-01-30T00:03:25.000Z |
print("Running performance analysis...")
print("Out dir : %s" % out_dir)
print("Architecture: %s" % arch)
import os
import csv
csv_records = []
csv_path = os.path.join(out_dir,"mpn-performance-%s.csv" % arch)
for record in performance:
func, lx,ly,instr_s,instr_e,cycle_s,cycle_e = record
cycles = c... | 19.878788 | 67 | 0.644817 |
print("Running performance analysis...")
print("Out dir : %s" % out_dir)
print("Architecture: %s" % arch)
import os
import sys
import csv
csv_records = []
csv_path = os.path.join(out_dir,"mpn-performance-%s.csv" % arch)
for record in performance:
func, lx,ly,instr_s,instr_e,cycle_s,cycle_e = record
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
fe63b72ed28da50f68feedc662b5048cfcfa23e7 | 3,039 | py | Python | test/integration/ggrc/services/test_audits.py | j0gurt/ggrc-core | 84662dc85aa8864c907eabe70b8efccf92298a1f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-01-04T10:55:14.000Z | 2019-01-04T10:55:14.000Z | test/integration/ggrc/services/test_audits.py | farcry4998/ggrc-core | c469039dabb55033c1b379850feb19e8dda2e2a1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | test/integration/ggrc/services/test_audits.py | farcry4998/ggrc-core | c469039dabb55033c1b379850feb19e8dda2e2a1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Tests for actions available on audits handle."""
| 33.395604 | 78 | 0.666667 | # Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Tests for actions available on audits handle."""
from ggrc.models import Audit
from ggrc.models import Program
from ggrc.models import all_models
from integration.ggrc import generator
from integration.... | 0 | 0 | 0 | 2,573 | 0 | 0 | 0 | 121 | 179 |
13944a47e76c26127157df1c29f339f9da38e2a0 | 1,110 | py | Python | old_tests/test_stats_describe.py | acequia-package/Acequia | 330b409cbb8faf8180608814669bf0efe27e5edd | [
"MIT"
] | null | null | null | old_tests/test_stats_describe.py | acequia-package/Acequia | 330b409cbb8faf8180608814669bf0efe27e5edd | [
"MIT"
] | 1 | 2020-02-14T13:57:48.000Z | 2020-03-22T13:38:07.000Z | old_tests/test_stats_describe.py | acequia-package/acequia | 330b409cbb8faf8180608814669bf0efe27e5edd | [
"MIT"
] | null | null | null |
"""
Test stats.Describe object
"""
import acequia as aq
if __name__ == '__main__':
srcdir = r'.\testdata\dinogws_smalltest\\'
outdir = r'.\output\tables\\'
fpath = f'{srcdir}B29A0016001_1.csv'
gw = aq.GwSeries.from_dinogws(fpath)
hdr('test self._create_list()')
ds = aq.GwListStats... | 20.555556 | 59 | 0.631532 |
"""
Test stats.Describe object
"""
import acequia as aq
def hdr(msg):
print()
print('#','-'*50)
print(msg)
print('#','-'*50)
print()
if __name__ == '__main__':
srcdir = r'.\testdata\dinogws_smalltest\\'
outdir = r'.\output\tables\\'
fpath = f'{srcdir}B29A0016001_1.csv'
... | 0 | 0 | 0 | 0 | 0 | 75 | 0 | 0 | 23 |
4d465e72fafc64cbd88dcb0a112954375940cf86 | 1,001 | py | Python | setup.py | bhnwmc/txWS | f531030fc6eb005d6d48b865e490a8361017618d | [
"Apache-2.0"
] | 30 | 2015-03-05T06:41:34.000Z | 2020-07-24T15:52:15.000Z | setup.py | bhnwmc/txWS | f531030fc6eb005d6d48b865e490a8361017618d | [
"Apache-2.0"
] | 7 | 2015-02-05T07:04:52.000Z | 2019-06-14T03:08:58.000Z | setup.py | bhnwmc/txWS | f531030fc6eb005d6d48b865e490a8361017618d | [
"Apache-2.0"
] | 11 | 2015-01-28T17:46:34.000Z | 2021-01-13T14:49:12.000Z | #!/usr/bin/env python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | 33.366667 | 79 | 0.724276 | #!/usr/bin/env python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4ca760ef959bba41593c27920745d0def66d16f | 1,322 | py | Python | Course/Data structures and algorithms/3.Basic algorithm/3.Faster divide and conquer algorithms/1.DivideAndConquer.py | IulianOctavianPreda/Udacity | 4349f4c12c838bcf3e53409f943ca8aacd58c94b | [
"MIT"
] | null | null | null | Course/Data structures and algorithms/3.Basic algorithm/3.Faster divide and conquer algorithms/1.DivideAndConquer.py | IulianOctavianPreda/Udacity | 4349f4c12c838bcf3e53409f943ca8aacd58c94b | [
"MIT"
] | null | null | null | Course/Data structures and algorithms/3.Basic algorithm/3.Faster divide and conquer algorithms/1.DivideAndConquer.py | IulianOctavianPreda/Udacity | 4349f4c12c838bcf3e53409f943ca8aacd58c94b | [
"MIT"
] | null | null | null | '''
Divide and conquer
In this section, we'll discuss algorithms that use a strategy called divide and conquer to solve problems more efficiently.
The name comes from the idea that the algorithm will break (or divide) the problem down into sub-problems that can be more easily solved (or conquered).
Then, the solution... | 57.478261 | 218 | 0.791225 | '''
Divide and conquer
In this section, we'll discuss algorithms that use a strategy called divide and conquer to solve problems more efficiently.
The name comes from the idea that the algorithm will break (or divide) the problem down into sub-problems that can be more easily solved (or conquered).
Then, the solution... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5e8c61986b2ee3ee2113d9b2bcebc7b147650893 | 4,034 | py | Python | surreal/components/distribution_adapters/adapter_utils.py | rosea-tf/surreal | 8abfb18538340d50146c9c44f5ecb8a1e7d89ac3 | [
"Apache-2.0"
] | 6 | 2019-12-17T17:56:26.000Z | 2022-01-13T20:54:06.000Z | surreal/components/distribution_adapters/adapter_utils.py | rosea-tf/surreal | 8abfb18538340d50146c9c44f5ecb8a1e7d89ac3 | [
"Apache-2.0"
] | 4 | 2019-11-04T07:17:27.000Z | 2019-11-04T07:19:25.000Z | surreal/components/distribution_adapters/adapter_utils.py | rosea-tf/surreal | 8abfb18538340d50146c9c44f5ecb8a1e7d89ac3 | [
"Apache-2.0"
] | 2 | 2019-11-29T15:38:54.000Z | 2020-02-24T11:24:04.000Z | # Copyright 2019 ducandu GmbH, All Rights Reserved
# (this is a modified version of the Apache 2.0 licensed RLgraph file of the same name).
#
# 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
#
#... | 49.195122 | 123 | 0.722608 | # Copyright 2019 ducandu GmbH, All Rights Reserved
# (this is a modified version of the Apache 2.0 licensed RLgraph file of the same name).
#
# 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
#
#... | 0 | 0 | 0 | 0 | 0 | 1,385 | 0 | 0 | 23 |
65641f137b8c739a193b1d0ca888e64d71a032f4 | 499 | py | Python | src/dressup/exceptions.py | paw-lu/dressup | d6b7971c1d1dd2e365974dda62e06eb5c65b85d2 | [
"MIT"
] | 15 | 2020-05-23T20:47:47.000Z | 2022-01-02T18:57:47.000Z | src/dressup/exceptions.py | paw-lu/dressup | d6b7971c1d1dd2e365974dda62e06eb5c65b85d2 | [
"MIT"
] | 154 | 2020-05-23T03:19:15.000Z | 2021-09-10T03:21:21.000Z | src/dressup/exceptions.py | pscosta5/dressup | d6b7971c1d1dd2e365974dda62e06eb5c65b85d2 | [
"MIT"
] | 1 | 2021-04-13T16:11:13.000Z | 2021-04-13T16:11:13.000Z | """Exceptions for library."""
| 27.722222 | 66 | 0.687375 | """Exceptions for library."""
class DressUpException(Exception):
"""Base exception for all exceptions raised by the library."""
def __repr__(self) -> str:
"""Representation of DressUpException."""
return "DressUpException()"
class InvalidUnicodeTypeError(DressUpException, ValueError):
"... | 0 | 0 | 0 | 421 | 0 | 0 | 0 | 0 | 46 |
3542a929fefdc83f5ff2de121cb95c8f14d2cd3b | 50 | py | Python | nlptasks/task_classification_tf_serving.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | 4 | 2021-06-16T02:26:18.000Z | 2021-09-24T11:06:51.000Z | nlptasks/task_classification_tf_serving.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | null | null | null | nlptasks/task_classification_tf_serving.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | null | null | null | # https://tf.wiki/zh_hans/deployment/serving.html
| 25 | 49 | 0.78 | # https://tf.wiki/zh_hans/deployment/serving.html
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4d667a256e662f4c1605b4cc20159387ea62d5a2 | 1,891 | py | Python | 00_Code/01_LeetCode/937_ReorderLogFiles.py | KartikKannapur/Data_Structures_and_Algorithms_Python | 66e3c8112826aeffb78bd74d02be1a8d1e478de8 | [
"MIT"
] | 1 | 2017-06-11T04:57:07.000Z | 2017-06-11T04:57:07.000Z | 00_Code/01_LeetCode/937_ReorderLogFiles.py | KartikKannapur/Data_Structures_and_Algorithms_Python | 66e3c8112826aeffb78bd74d02be1a8d1e478de8 | [
"MIT"
] | null | null | null | 00_Code/01_LeetCode/937_ReorderLogFiles.py | KartikKannapur/Data_Structures_and_Algorithms_Python | 66e3c8112826aeffb78bd74d02be1a8d1e478de8 | [
"MIT"
] | null | null | null | """
You have an array of logs. Each log is a space delimited string of words.
For each log, the first word in each log is an alphanumeric identifier. Then, either:
Each word after the identifier will consist only of lowercase letters, or;
Each word after the identifier will consist only of digits.
We will call thes... | 31.516667 | 239 | 0.645161 | """
You have an array of logs. Each log is a space delimited string of words.
For each log, the first word in each log is an alphanumeric identifier. Then, either:
Each word after the identifier will consist only of lowercase letters, or;
Each word after the identifier will consist only of digits.
We will call thes... | 0 | 0 | 0 | 832 | 0 | 0 | 0 | 0 | 23 |
eb2e5538d2cce2417090de871132eac6854e10c8 | 14,637 | py | Python | fluiddb/security/permission.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | 3 | 2021-05-10T14:41:30.000Z | 2021-12-16T05:53:30.000Z | fluiddb/security/permission.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | null | null | null | fluiddb/security/permission.py | fluidinfo/fluiddb | b5a8c8349f3eaf3364cc4efba4736c3e33b30d96 | [
"Apache-2.0"
] | 2 | 2018-01-24T09:03:21.000Z | 2021-06-25T08:34:54.000Z | from fluiddb.cache.permission import (CachingPermissionCheckerAPI)
def checkPermissions(user, values):
"""Check permissions for a list of path-operation pairs.
Note that the special C{fluiddb/id} virtual tag is handled as a
special case. Specifically, the path presence checking logic doesn't
raise ... | 41.939828 | 79 | 0.651295 | from fluiddb.cache.permission import (
CachingPermissionAPI, CachingPermissionCheckerAPI)
from fluiddb.data.path import getParentPath
from fluiddb.data.permission import Operation
from fluiddb.data.user import Role
from fluiddb.model.exceptions import UnknownPathError
from fluiddb.security.exceptions import Permiss... | 0 | 0 | 0 | 12,836 | 0 | 0 | 0 | 158 | 225 |
72aa92c823dc0961a51c54c84e22f66b923f6a2d | 790 | py | Python | legacy/python-har-daemon/harchiverd/settings.py | GilHoggarth/ukwa-manage | 5893e9ea16c02e76eb81b2ccf7e161eeb183db9a | [
"Apache-2.0"
] | 1 | 2021-05-18T21:47:29.000Z | 2021-05-18T21:47:29.000Z | legacy/python-har-daemon/harchiverd/settings.py | GilHoggarth/ukwa-manage | 5893e9ea16c02e76eb81b2ccf7e161eeb183db9a | [
"Apache-2.0"
] | 67 | 2017-11-22T11:13:18.000Z | 2022-03-25T09:48:49.000Z | legacy/python-har-daemon/harchiverd/settings.py | GilHoggarth/ukwa-manage | 5893e9ea16c02e76eb81b2ccf7e161eeb183db9a | [
"Apache-2.0"
] | 4 | 2020-01-17T17:23:54.000Z | 2021-04-11T09:46:09.000Z | import os
# Settings that can be overridden via environment variables.
LOG_FILE = os.getenv("LOG_FILE", "/logs/harchiverd.log")
LOG_LEVEL = os.getenv("LOG_LEVEL", 'DEBUG')
OUTPUT_DIRECTORY = os.getenv("OUTPUT_DIRECTORY", "/images")
WEBSERVICE = os.getenv("WEBSERVICE", "http://webrender:80... | 41.578947 | 87 | 0.675949 | import os
import logging
# Settings that can be overridden via environment variables.
LOG_FILE = os.getenv("LOG_FILE", "/logs/harchiverd.log")
LOG_LEVEL = os.getenv("LOG_LEVEL", 'DEBUG')
OUTPUT_DIRECTORY = os.getenv("OUTPUT_DIRECTORY", "/images")
WEBSERVICE = os.getenv("WEBSERVICE", "http... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 22 |
1810fa978d8c0e2c3c0d8729c38fd7f7e9fe5672 | 890 | py | Python | demo4.py | KomaBeyond/docker-ImageManager | e94db1178ed396c56497ab77921eaf6db497dc67 | [
"Apache-2.0"
] | null | null | null | demo4.py | KomaBeyond/docker-ImageManager | e94db1178ed396c56497ab77921eaf6db497dc67 | [
"Apache-2.0"
] | null | null | null | demo4.py | KomaBeyond/docker-ImageManager | e94db1178ed396c56497ab77921eaf6db497dc67 | [
"Apache-2.0"
] | null | null | null | #-*- coding:utf-8 -*-
if __name__ == '__main__':
app = App(False)
app.MainLoop()
| 24.722222 | 74 | 0.604494 | #-*- coding:utf-8 -*-
import wx
from wx.py.shell import ShellFrame
class Frame(wx.Frame):
def __init__(self, title, size, pos=wx.DefaultPosition):
super(Frame, self).__init__(None, title=title, size=size, pos=pos)
panel = wx.Panel(self, -1)
panel.SetBackgroundColour('#FFF')
menuB... | 0 | 0 | 0 | 708 | 0 | 0 | 0 | 1 | 91 |
162200112afc07095c82d163ecdcb944a828cc3b | 6,617 | py | Python | src/python/grpcio_tests/commands.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 117 | 2017-10-02T21:34:35.000Z | 2022-03-02T01:49:03.000Z | src/python/grpcio_tests/commands.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 4 | 2017-10-03T22:45:30.000Z | 2018-09-27T07:31:00.000Z | src/python/grpcio_tests/commands.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 24 | 2017-10-31T12:14:15.000Z | 2021-12-11T10:07:46.000Z | # Copyright 2015 gRPC 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 or agreed to in writing... | 32.920398 | 82 | 0.646063 | # Copyright 2015 gRPC 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 or agreed to in writing... | 0 | 0 | 0 | 5,150 | 0 | 0 | 0 | 48 | 448 |
37e953ae2d41d39e1d47b0ae463e5e09d78db822 | 1,242 | py | Python | bluebottle/payments/migrations/0007_auto_20210302_1417.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 10 | 2015-05-28T18:26:40.000Z | 2021-09-06T10:07:03.000Z | bluebottle/payments/migrations/0007_auto_20210302_1417.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 762 | 2015-01-15T10:00:59.000Z | 2022-03-31T15:35:14.000Z | bluebottle/payments/migrations/0007_auto_20210302_1417.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 9 | 2015-02-20T13:19:30.000Z | 2022-03-08T14:09:17.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2021-03-02 13:17
from __future__ import unicode_literals
| 24.84 | 49 | 0.544283 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2021-03-02 13:17
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('payments', '0006_auto_20181115_1321'),
]
operations = [
migrations.RemoveField(
... | 0 | 0 | 0 | 1,070 | 0 | 0 | 0 | 11 | 46 |
7cc6ac075442c20c1dc60a1d477e25e3ee36bd5e | 240 | py | Python | poppurri/common/tests.py | ariel17/poppurri | 56c2f7ec96402e96776b928cd8be5454f7c2ab67 | [
"MIT"
] | null | null | null | poppurri/common/tests.py | ariel17/poppurri | 56c2f7ec96402e96776b928cd8be5454f7c2ab67 | [
"MIT"
] | 12 | 2017-06-01T13:15:33.000Z | 2017-06-01T13:15:35.000Z | poppurri/common/tests.py | ariel17/poppurri | 56c2f7ec96402e96776b928cd8be5454f7c2ab67 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Description: TODO
"""
__author__ = "Ariel Gerardo Rios (ariel.gerardo.rios@gmail.com)"
# Create your tests here.
# vim: ai ts=4 sts=4 et sw=4 ft=python
| 16 | 64 | 0.675 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Description: TODO
"""
__author__ = "Ariel Gerardo Rios (ariel.gerardo.rios@gmail.com)"
from django.test import TestCase
# Create your tests here.
# vim: ai ts=4 sts=4 et sw=4 ft=python
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 23 |
985de59aac4786ddd76c2cf63fc1fdf14bcaeafe | 2,290 | py | Python | app.py | joostrijneveld/eetvoorkeur | ca3887b6934992cb94f848f2cd9766d168a27af8 | [
"CC0-1.0"
] | 2 | 2016-04-03T21:53:52.000Z | 2016-04-05T09:39:14.000Z | app.py | joostrijneveld/eetvoorkeur | ca3887b6934992cb94f848f2cd9766d168a27af8 | [
"CC0-1.0"
] | null | null | null | app.py | joostrijneveld/eetvoorkeur | ca3887b6934992cb94f848f2cd9766d168a27af8 | [
"CC0-1.0"
] | null | null | null | from flask import Flask
from flask.ext.socketio import SocketIO
from hashlib import sha256
app = Flask(__name__)
app.config['SECRET_KEY'] = 'replaceme'
app.config['ADMIN_URL'] = '/admin'
app.config['DEBUG'] = True
# Replace the above secrets and specify other overrides here, or alternatively,
# create a config.py fil... | 31.369863 | 79 | 0.649782 | from flask import Flask
from flask import render_template
from flask.ext.socketio import SocketIO, emit
from hashlib import sha256
import sys
app = Flask(__name__)
app.config['SECRET_KEY'] = 'replaceme'
app.config['ADMIN_URL'] = '/admin'
app.config['DEBUG'] = True
# Replace the above secrets and specify other overrid... | 0 | 974 | 0 | 0 | 0 | 0 | 0 | 7 | 159 |
893a15394e6fee261373c36aece687225e36317e | 1,956 | py | Python | src/anyvar/utils/formats.py | theferrit32/anyvar | 44c30a808155d1510590a9d72a1570307cad6a3a | [
"Apache-2.0"
] | 5 | 2020-09-28T14:25:17.000Z | 2022-02-10T21:12:30.000Z | src/anyvar/utils/formats.py | theferrit32/anyvar | 44c30a808155d1510590a9d72a1570307cad6a3a | [
"Apache-2.0"
] | 5 | 2020-09-02T15:31:32.000Z | 2021-12-01T05:30:53.000Z | src/anyvar/utils/formats.py | theferrit32/anyvar | 44c30a808155d1510590a9d72a1570307cad6a3a | [
"Apache-2.0"
] | 3 | 2020-09-02T15:30:04.000Z | 2021-05-20T21:08:55.000Z | import re
format_regexps = {
"hgvs": [
# just the accession and variant type
r"^[^:]+:[cgnopr]",
],
"spdi": [
# SequenceId:Position:DeletionLength:InsertedSequence
r"^[^:]+:\d+:(\d+|\w*):\w*"
],
"gnomad": [
# 1-55516888-G-GA
r"^\d+-\d+-\w*-\w*$",
... | 27.942857 | 77 | 0.598671 | import re
format_regexps = {
"hgvs": [
# just the accession and variant type
r"^[^:]+:[cgnopr]",
],
"spdi": [
# SequenceId:Position:DeletionLength:InsertedSequence
r"^[^:]+:\d+:(\d+|\w*):\w*"
],
"gnomad": [
# 1-55516888-G-GA
r"^\d+-\d+-\w*-\w*$",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f0a58bb0b7b87f01c85d672d7ea6856595df2840 | 1,183 | py | Python | examples/comm-broadcast-gather/gather.py | dapatil211/Jacinle | 7638a46dc06223a1871d88f92aade644883f40a0 | [
"MIT"
] | 114 | 2018-01-25T04:44:07.000Z | 2022-03-09T14:33:42.000Z | third_party/Jacinle/examples/comm-broadcast-gather/gather.py | dair-iitd/1oML_workdir | 37117de4abf1774548786e9534c90977d67091d8 | [
"Apache-2.0"
] | 7 | 2018-05-08T17:02:24.000Z | 2022-02-09T23:44:06.000Z | third_party/Jacinle/examples/comm-broadcast-gather/gather.py | dair-iitd/1oML_workdir | 37117de4abf1774548786e9534c90977d67091d8 | [
"Apache-2.0"
] | 268 | 2018-04-08T10:54:35.000Z | 2022-03-01T07:10:02.000Z | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : gather.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 02/16/2018
#
# This file is part of Jacinle.
# Distributed under terms of the MIT license.
if __name__ == '__main__':
main()
| 26.288889 | 96 | 0.640744 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : gather.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 02/16/2018
#
# This file is part of Jacinle.
# Distributed under terms of the MIT license.
import time
import multiprocessing as mp
from jacinle.comm.gather import make_gather_pair
fr... | 0 | 0 | 0 | 0 | 0 | 706 | 0 | 49 | 159 |
d9e6de0f0279e1d093c59e51ba89d56cb207b7f2 | 12,247 | py | Python | scripts/study_case/ID_4/torch_geometric/nn/models/autoencoder.py | kzbnb/numerical_bugs | bc22e72bcc06df6ce7889a25e0aeed027bde910b | [
"Apache-2.0"
] | 8 | 2021-06-30T06:55:14.000Z | 2022-03-18T01:57:14.000Z | scripts/study_case/ID_4/torch_geometric/nn/models/autoencoder.py | kzbnb/numerical_bugs | bc22e72bcc06df6ce7889a25e0aeed027bde910b | [
"Apache-2.0"
] | 1 | 2021-06-30T03:08:15.000Z | 2021-06-30T03:08:15.000Z | scripts/study_case/ID_4/torch_geometric/nn/models/autoencoder.py | kzbnb/numerical_bugs | bc22e72bcc06df6ce7889a25e0aeed027bde910b | [
"Apache-2.0"
] | 2 | 2021-11-17T11:19:48.000Z | 2021-11-18T03:05:58.000Z |
EPS = 1e-15
MAX_LOGVAR = 10
| 35.914956 | 79 | 0.614191 | import math
import random
import torch
import numpy as np
from sklearn.metrics import roc_auc_score, average_precision_score
from scripts.study_case.ID_4.torch_geometric.utils import to_undirected
from ..inits import reset
EPS = 1e-15
MAX_LOGVAR = 10
def negative_sampling(pos_edge_index, num_nodes):
idx = (pos... | 0 | 92 | 0 | 11,081 | 0 | 676 | 0 | 69 | 294 |
439124cfc7c2672a2b3d34d8a8a39bceb022736b | 2,731 | py | Python | module1-introduction-to-sql/rpg_queries.py | rsskga/DS-Unit-3-Sprint-2-SQL-and-Databases | f4ad78d9bc7ac8296f951959c05b8a963cdc0e3b | [
"MIT"
] | null | null | null | module1-introduction-to-sql/rpg_queries.py | rsskga/DS-Unit-3-Sprint-2-SQL-and-Databases | f4ad78d9bc7ac8296f951959c05b8a963cdc0e3b | [
"MIT"
] | null | null | null | module1-introduction-to-sql/rpg_queries.py | rsskga/DS-Unit-3-Sprint-2-SQL-and-Databases | f4ad78d9bc7ac8296f951959c05b8a963cdc0e3b | [
"MIT"
] | null | null | null | # pylint: disable=invalid-name
"""Lambda module for learning sqlite3"""
import os
import sqlite3
###############################################################################
print(f"\n\n" + "#" * 79)
print(f"Assignment - Part 1, Querying a Database")
print(f"#" * 79 + "\n")
########################################... | 32.903614 | 79 | 0.628341 | # pylint: disable=invalid-name
"""Lambda module for learning sqlite3"""
import os
import sqlite3
###############################################################################
print(f"\n\n" + "#" * 79)
print(f"Assignment - Part 1, Querying a Database")
print(f"#" * 79 + "\n")
########################################... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a8f1c2f92a2a87a59db49f43ef8386117f292c81 | 5,706 | py | Python | line_fit_video.py | WalesPeng/CarND-Advanced-Lane-Lines-P4 | 045caf4f8d47300533861301dd4d168b7d50926c | [
"MIT"
] | null | null | null | line_fit_video.py | WalesPeng/CarND-Advanced-Lane-Lines-P4 | 045caf4f8d47300533861301dd4d168b7d50926c | [
"MIT"
] | null | null | null | line_fit_video.py | WalesPeng/CarND-Advanced-Lane-Lines-P4 | 045caf4f8d47300533861301dd4d168b7d50926c | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import pickle
from combined_thresh import combined_thresh
from perspective_transform import perspective_transform
from Line import Line
from line_fit import line_fit, tune_fit, final_viz, calc_curve, calc_vehicle_offset, viz2... | 29.874346 | 113 | 0.720995 | import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import pickle
from combined_thresh import combined_thresh
from perspective_transform import perspective_transform
from Line import Line
from line_fit import line_fit, tune_fit, final_viz, calc_curve, calc_vehicle_offset, viz2... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ad8de01e77855c8ebc55b3a4f85712d69afc8ece | 1,203 | py | Python | api/medication/migrations/0001_initial.py | SaitoBP/PetCard-API | 48be97d019890f7022b48c4f4b00cec32c83b5ad | [
"MIT"
] | null | null | null | api/medication/migrations/0001_initial.py | SaitoBP/PetCard-API | 48be97d019890f7022b48c4f4b00cec32c83b5ad | [
"MIT"
] | null | null | null | api/medication/migrations/0001_initial.py | SaitoBP/PetCard-API | 48be97d019890f7022b48c4f4b00cec32c83b5ad | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-18 13:27
| 35.382353 | 136 | 0.575229 | # Generated by Django 3.1.2 on 2020-10-18 13:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Medication',
fields=[
... | 0 | 0 | 0 | 1,056 | 0 | 0 | 0 | 30 | 68 |
0d2bc9adb70264bb8fb1a7d109a00bf8f97db3a7 | 177 | py | Python | app/codeprogress/urls.py | xXHachimanXx/fc-observability-elastic | c38b317371e96c118e2f17f99f62af75ac1634d7 | [
"MIT"
] | null | null | null | app/codeprogress/urls.py | xXHachimanXx/fc-observability-elastic | c38b317371e96c118e2f17f99f62af75ac1634d7 | [
"MIT"
] | 3 | 2021-07-07T01:51:58.000Z | 2021-07-13T19:31:57.000Z | app/codeprogress/urls.py | xXHachimanXx/fc-observability-elastic | c38b317371e96c118e2f17f99f62af75ac1634d7 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('exemplo/', include('exemplo.urls')),
] | 25.285714 | 46 | 0.683616 | from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('exemplo/', include('exemplo.urls')),
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
52972f2e0ab5b92482162cce466332e563073968 | 2,046 | py | Python | kyu_8/keep_hydrated/test_keep_hydrated.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 1 | 2022-02-12T05:56:04.000Z | 2022-02-12T05:56:04.000Z | kyu_8/keep_hydrated/test_keep_hydrated.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 182 | 2020-04-30T00:51:36.000Z | 2021-09-07T04:15:05.000Z | kyu_8/keep_hydrated/test_keep_hydrated.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 4 | 2020-04-29T22:04:20.000Z | 2021-07-13T20:04:14.000Z | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
# FUNDAMENTALS ALGORITHMS MATHEMATICS NUMBERS
| 34.677966 | 94 | 0.572825 | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
# FUNDAMENTALS ALGORITHMS MATHEMATICS NUMBERS
import unittest
import allure
from utils.log_func import print_log
from kyu_8.keep_hydrated.keep_hydrated import litres
@allure.epic('8 kyu')
@allure.p... | 0 | 1,735 | 0 | 0 | 0 | 0 | 0 | 32 | 112 |
248d78344810e6b338422210a38378f7689101cf | 6,041 | py | Python | kontrasto/dominantcolors.py | nimasmi/kontrasto | 08fc0279e2b3e1da1a5cec769874572455fd0527 | [
"MIT"
] | 13 | 2021-05-13T14:47:49.000Z | 2022-03-23T08:11:02.000Z | kontrasto/dominantcolors.py | nimasmi/kontrasto | 08fc0279e2b3e1da1a5cec769874572455fd0527 | [
"MIT"
] | 3 | 2021-05-08T21:53:53.000Z | 2022-03-12T03:07:58.000Z | kontrasto/dominantcolors.py | nimasmi/kontrasto | 08fc0279e2b3e1da1a5cec769874572455fd0527 | [
"MIT"
] | 2 | 2021-05-23T10:28:35.000Z | 2021-11-28T18:59:54.000Z | # -*- coding: utf-8 -*-
# https://github.com/wenmin-wu/dominant-colors-py
__author__ = "wuwenmin1991@gmail.com"
import numpy as np # lgtm [py/import-and-import-from]
from numpy import linalg as LA
from collections import deque
def rgba2rgb(rgba):
"""
:param self:
:param rgba:
:return:
"""
... | 28.097674 | 96 | 0.639298 | # -*- coding: utf-8 -*-
# https://github.com/wenmin-wu/dominant-colors-py
__author__ = "wuwenmin1991@gmail.com"
import numpy as np # lgtm [py/import-and-import-from]
from numpy import linalg as LA
from PIL import Image
from collections import deque
class ColorNode(object):
""""""
def __init__(self):
... | 0 | 537 | 0 | 590 | 0 | 1,863 | 0 | 0 | 137 |
98c77a54e9634f86794afb330c103e82685e8c5e | 628 | py | Python | users.py | mattgerstman/DMAssassins-2.0 | 89379274abb8d3084046764f92ae20ab548edc84 | [
"MIT"
] | null | null | null | users.py | mattgerstman/DMAssassins-2.0 | 89379274abb8d3084046764f92ae20ab548edc84 | [
"MIT"
] | null | null | null | users.py | mattgerstman/DMAssassins-2.0 | 89379274abb8d3084046764f92ae20ab548edc84 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import time
import json
outputList = []
if __name__ == "__main__":
filename = sys.argv[1]
namesList = open(filename,'r')
for line in namesList:
processLine(line)
output = open('output.json','w')
print json.dumps(outputList)
output.write(json.dumps(outputList))
# json.du... | 19.030303 | 37 | 0.700637 | #!/usr/bin/env python
import sys
import time
import json
outputList = []
def processLine(line):
line = line.strip()
tokens = line.split(',')
currentName = {}
currentName['name']=tokens[0];
currentName['username']=tokens[1];
currentName['email']=tokens[2];
currentName['team']=tokens[3]
# print currentName;
g... | 0 | 0 | 0 | 0 | 0 | 270 | 0 | 0 | 23 |
f957a9c68089ad99d3c73dc926e3a51f220c190f | 1,473 | py | Python | wordfreq.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | 1 | 2019-12-28T12:31:28.000Z | 2019-12-28T12:31:28.000Z | wordfreq.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | null | null | null | wordfreq.py | mas250/Python3 | 6ac6f0ffe7869cd7520b2ae0debf3650116a97b1 | [
"MIT"
] | null | null | null | # Print the frequencies with which words occur in a file. The results are
# printed with the words in the order that they occur in the file, but a
# dictionary is used to keep a count of the words. Counting does not start
# until a line starting with '***' has been seen and stops when another
# line with '***' is found... | 27.277778 | 74 | 0.573659 | # Print the frequencies with which words occur in a file. The results are
# printed with the words in the order that they occur in the file, but a
# dictionary is used to keep a count of the words. Counting does not start
# until a line starting with '***' has been seen and stops when another
# line with '***' is found... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86a27767ddd3117fb570a0e5fd9ffcf5e7f820ec | 43 | py | Python | workflow/scripts/script1.py | kopardev/CCBR_ATACseq | be3f43213b67199ffd82db20eae3e7254d3d06cd | [
"MIT"
] | 3 | 2021-02-28T23:10:52.000Z | 2021-03-05T14:10:41.000Z | workflow/scripts/script1.py | CCBR/CCBR_cookiecutter | 5bb3d2461fd717193b47f85b62909a9cfae06d24 | [
"MIT"
] | 5 | 2021-07-16T21:18:04.000Z | 2021-11-30T16:22:39.000Z | workflow/scripts/script1.py | kopardev/CCBR_ATACseq | be3f43213b67199ffd82db20eae3e7254d3d06cd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# some python script
| 14.333333 | 21 | 0.72093 | #!/usr/bin/env python
# some python script
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ea4d7044f29cf6da8ac335089ace95bf89a971ae | 2,063 | py | Python | pytest_splunk_addon/helmut/exceptions/command_execution.py | harshshah2-crest/pytest-splunk-addon | fb6ad828edf90f14086380a18711eb831ee47349 | [
"Apache-2.0"
] | 39 | 2020-06-09T17:37:21.000Z | 2022-02-08T01:57:35.000Z | pytest_splunk_addon/helmut/exceptions/command_execution.py | harshshah2-crest/pytest-splunk-addon | fb6ad828edf90f14086380a18711eb831ee47349 | [
"Apache-2.0"
] | 372 | 2020-04-15T13:55:09.000Z | 2022-03-31T17:14:56.000Z | pytest_splunk_addon/helmut/exceptions/command_execution.py | isabella232/pytest-splunk-addon | 5e6ae2b47df7a1feb6f358bbbd1f02197b5024f6 | [
"Apache-2.0"
] | 22 | 2020-05-06T10:43:45.000Z | 2022-03-16T15:50:08.000Z | #
# Copyright 2021 Splunk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 31.738462 | 95 | 0.63936 | #
# Copyright 2021 Splunk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 0 | 470 | 0 | 996 | 0 | 0 | 0 | 0 | 22 |
068ccc95099d081a9bfb7a27667dd7bc23e4e19d | 28,617 | py | Python | models/movies_ae.py | sneakyPad/decoding-latent-space-rs | bc7bfba5d6cf5a9d72f5c5393f394dee1025441a | [
"MIT"
] | null | null | null | models/movies_ae.py | sneakyPad/decoding-latent-space-rs | bc7bfba5d6cf5a9d72f5c5393f394dee1025441a | [
"MIT"
] | 3 | 2021-06-08T22:42:59.000Z | 2022-01-13T03:25:54.000Z | models/movies_ae.py | sneakyPad/decoding-latent-space-rs | bc7bfba5d6cf5a9d72f5c5393f394dee1025441a | [
"MIT"
] | null | null | null | # pip install pytorch-lightning
# pip install neptune-client
# %%
from __future__ import print_function
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.callbacks.progress import ProgressBar
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
import torch
import torch.utils.data... | 46.836334 | 221 | 0.553517 | # pip install pytorch-lightning
# pip install neptune-client
# %%
from __future__ import print_function
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.callbacks.progress import ProgressBar
from sklearn.model_selection import train_test_split
import ast
from pytorch_lightning.callbacks.early_st... | 4 | 0 | 0 | 17,268 | 0 | 218 | 0 | 52 | 244 |
dcd8bc8d995ff6a1bcabbed355c5cd615e0ffd11 | 791 | py | Python | src/guid/settings.py | nwcell/guid_tracker | b8599d53748554870875b9477cd6b229c88915ac | [
"MIT"
] | 3 | 2019-06-04T01:36:17.000Z | 2021-05-16T18:52:21.000Z | src/guid/settings.py | nwcell/guid_tracker | b8599d53748554870875b9477cd6b229c88915ac | [
"MIT"
] | null | null | null | src/guid/settings.py | nwcell/guid_tracker | b8599d53748554870875b9477cd6b229c88915ac | [
"MIT"
] | null | null | null | """Gathers environment settings and loads them into global attributes."""
from starlette.config import Config
from starlette.datastructures import CommaSeparatedStrings, Secret
config = Config('.env')
# Main Configs
DEBUG = config('DEBUG', cast=bool, default=False)
TESTING = config('TESTING', cast=bool, default=Fals... | 31.64 | 73 | 0.77244 | """Gathers environment settings and loads them into global attributes."""
from starlette.config import Config
from starlette.datastructures import CommaSeparatedStrings, Secret
config = Config('.env')
# Main Configs
DEBUG = config('DEBUG', cast=bool, default=False)
TESTING = config('TESTING', cast=bool, default=Fals... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
82fd730d2cc3c81e960e4539984731b1faf8fe70 | 2,492 | py | Python | src/c_dataValidation/dataCrossValid.py | JacobSal/Generalized-Sklearn-ML-Pipeline | fafb9e577445c0b33afe4e4fd69fd60d28fb3eb2 | [
"MIT"
] | null | null | null | src/c_dataValidation/dataCrossValid.py | JacobSal/Generalized-Sklearn-ML-Pipeline | fafb9e577445c0b33afe4e4fd69fd60d28fb3eb2 | [
"MIT"
] | null | null | null | src/c_dataValidation/dataCrossValid.py | JacobSal/Generalized-Sklearn-ML-Pipeline | fafb9e577445c0b33afe4e4fd69fd60d28fb3eb2 | [
"MIT"
] | 1 | 2021-10-11T21:48:45.000Z | 2021-10-11T21:48:45.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 13 19:02:19 2021
@author: Jacob Salminen
@version: 1.0.20
"""
#%% IMPORTS
import os
import sys
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(SCRIPT_DIR))
import multiprocessing as mp
import numpy as np
from os.path import dirname... | 30.024096 | 98 | 0.660514 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 13 19:02:19 2021
@author: Jacob Salminen
@version: 1.0.20
"""
#%% IMPORTS
import os
import sys
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(SCRIPT_DIR))
import time
import multiprocessing as mp
import numpy as np
from os.path i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 23 |
5cd4e25d6dd10ebe3a0b932449919e7e3b4bc73d | 6,571 | py | Python | filters/crop.py | voxie-viewer/voxie | d2b5e6760519782e9ef2e51f5322a3baa0cb1198 | [
"MIT"
] | 4 | 2016-06-03T18:41:43.000Z | 2020-04-17T20:28:58.000Z | filters/crop.py | voxie-viewer/voxie | d2b5e6760519782e9ef2e51f5322a3baa0cb1198 | [
"MIT"
] | null | null | null | filters/crop.py | voxie-viewer/voxie | d2b5e6760519782e9ef2e51f5322a3baa0cb1198 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
#
# Copyright (c) 2014-2022 The Voxie Authors
#
# 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,... | 45.006849 | 177 | 0.66687 | #!/usr/bin/python3
#
# Copyright (c) 2014-2022 The Voxie Authors
#
# 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,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
7e68bfb1f8a41591e36ec42e6b35cd48e95152fc | 15,917 | py | Python | buscador-ui.py | Maes95/BuscadorGitHubRepos | a8e0b7cae3b17d2e56f407c96bc074198f246a73 | [
"Apache-2.0"
] | null | null | null | buscador-ui.py | Maes95/BuscadorGitHubRepos | a8e0b7cae3b17d2e56f407c96bc074198f246a73 | [
"Apache-2.0"
] | null | null | null | buscador-ui.py | Maes95/BuscadorGitHubRepos | a8e0b7cae3b17d2e56f407c96bc074198f246a73 | [
"Apache-2.0"
] | 1 | 2021-05-23T15:24:34.000Z | 2021-05-23T15:24:34.000Z | import configuracion as conf
import filtrosQuery as fq
import tkinter as tk
from tkinter import ttk
from tkinter import font
from PIL import Image
from PIL import ImageTk
import pruebas
app = tk.Tk()
app.title("BuscadorGitHubRepos")
width = '650'
height = '700'
app.geometry(width + 'x' + height)
app.resizable(False, F... | 33.299163 | 133 | 0.767921 | import main
import configuracion as conf
import filtrosQuery as fq
import tkinter as tk
from tkinter import ttk
from tkinter import font
from tkinter import messagebox
from PIL import Image
from PIL import ImageTk
import pruebas
import repoBD
import executeQuery
import datetime
app = tk.Tk()
app.title("BuscadorGitHubR... | 32 | 0 | 0 | 0 | 0 | 2,740 | 0 | -17 | 225 |
2ac3e6f54e137617cc6d1e4f38eab93e0c218952 | 2,440 | py | Python | cave_map.py | dylanmc/DungeonHero | 59bcbd3964c8f46c41f2251e221d1fbee75b0d1d | [
"Unlicense"
] | null | null | null | cave_map.py | dylanmc/DungeonHero | 59bcbd3964c8f46c41f2251e221d1fbee75b0d1d | [
"Unlicense"
] | null | null | null | cave_map.py | dylanmc/DungeonHero | 59bcbd3964c8f46c41f2251e221d1fbee75b0d1d | [
"Unlicense"
] | null | null | null | rooms = { 'entrance_r' : {'desc': 'You are in the entrance to a huge cave system. The way you entered has collapsed behind you.', 'passages': {'north': 'passage_r'}, 'occupants': True, 'hostile': False, 'tag': 'entrance_r'},
'passage_r' : {'desc': 'This is a long low north-south passage', 'passages': {'south': '... | 174.285714 | 423 | 0.685246 | rooms = { 'entrance_r' : {'desc': 'You are in the entrance to a huge cave system. The way you entered has collapsed behind you.', 'passages': {'north': 'passage_r'}, 'occupants': True, 'hostile': False, 'tag': 'entrance_r'},
'passage_r' : {'desc': 'This is a long low north-south passage', 'passages': {'south': '... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6938b1ee2c87f1aa5d1f283c9b826a49ac986b1f | 2,835 | py | Python | hparams_sets.py | Xtuden-com/proteinfer | e2bc5c88eaae2ef3caca06c23592b1f85c82ca2e | [
"Apache-2.0"
] | 40 | 2019-04-25T15:55:41.000Z | 2022-03-31T19:24:29.000Z | hparams_sets.py | Xtuden-com/proteinfer | e2bc5c88eaae2ef3caca06c23592b1f85c82ca2e | [
"Apache-2.0"
] | 20 | 2020-01-28T22:41:10.000Z | 2022-02-24T01:41:14.000Z | hparams_sets.py | Xtuden-com/proteinfer | e2bc5c88eaae2ef3caca06c23592b1f85c82ca2e | [
"Apache-2.0"
] | 14 | 2019-06-20T19:57:08.000Z | 2022-01-29T17:30:07.000Z | # coding=utf-8
# Copyright 2020 The Google Research 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 applicab... | 37.302632 | 74 | 0.762963 | # coding=utf-8
# Copyright 2020 The Google Research 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 applicab... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bb30cf93ee5558a2039fa3fd1d55c73a999f07bd | 3,384 | py | Python | checklist/urls.py | cagandhi/Checklist-Django | c8edf1d8f821900a71f36abd34a76663d8d8f7da | [
"Apache-2.0"
] | 3 | 2021-07-02T07:35:19.000Z | 2022-01-14T11:14:14.000Z | checklist/urls.py | cagandhi/Checklist-Django | c8edf1d8f821900a71f36abd34a76663d8d8f7da | [
"Apache-2.0"
] | 57 | 2021-01-31T23:39:57.000Z | 2022-03-12T00:47:23.000Z | checklist/urls.py | cagandhi/Checklist-Django | c8edf1d8f821900a71f36abd34a76663d8d8f7da | [
"Apache-2.0"
] | 3 | 2021-08-29T21:46:54.000Z | 2022-03-24T13:10:00.000Z | from django.urls import path
from . import views
from .views import (BookmarkChecklistListView, CategoryChecklistListView, ChecklistCreateView, ChecklistDeleteView, ChecklistDetailView, ChecklistListView, ChecklistUpdateView, CommentDeleteView, CommentUpdateView, ItemCreateView, ItemDetailView, ItemUpdateView, SearchC... | 26.645669 | 79 | 0.598109 | from django.urls import path
from . import views
from .views import (
BookmarkChecklistListView,
CategoryChecklistListView,
ChecklistCreateView,
ChecklistDeleteView,
ChecklistDetailView,
ChecklistListView,
ChecklistUpdateView,
CommentDeleteView,
CommentUpdateView,
ItemCreateView... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 |
4cf1d8277af939a99b6ab67241ea44f42da9f0f0 | 2,616 | py | Python | simpleredial/es/bm25_gray.py | gmftbyGMFTBY/SimpleReDial-v1 | f45b8eb23d1499ec617b4cc4f417d83d8f2b6bde | [
"MIT"
] | 36 | 2021-10-13T10:32:08.000Z | 2022-03-20T07:50:05.000Z | simpleredial/es/bm25_gray.py | gmftbyGMFTBY/SimpleReDial-v1 | f45b8eb23d1499ec617b4cc4f417d83d8f2b6bde | [
"MIT"
] | 3 | 2021-11-24T10:57:59.000Z | 2022-03-27T15:37:40.000Z | simpleredial/es/bm25_gray.py | gmftbyGMFTBY/SimpleReDial-v1 | f45b8eb23d1499ec617b4cc4f417d83d8f2b6bde | [
"MIT"
] | 1 | 2022-03-15T07:13:22.000Z | 2022-03-15T07:13:22.000Z | from tqdm import tqdm
import json
'''Generate the BM25 gray candidates:
Make sure the q-q BM25 index has been built
'''
if __name__ == '__main__':
args = vars(parser_args())
bsz = args['batch_size']
args['mode'] = 'test'
args['model'] = 'dual-bert' # useless
config = load_config(args)
arg... | 36.333333 | 93 | 0.620413 | from .es_utils import *
from tqdm import tqdm
from config import *
from dataloader.utils import *
import argparse
import json
import ipdb
'''Generate the BM25 gray candidates:
Make sure the q-q BM25 index has been built
'''
def parser_args():
parser = argparse.ArgumentParser()
parser.add_argument('--dataset... | 0 | 0 | 0 | 0 | 0 | 380 | 0 | -6 | 133 |
6b175bc8f230cd5d4153dd91885f1fb35efcbc2b | 9,665 | py | Python | notifications/models.py | lyoniionly/django-notifications | 36ad8ea4dd26445b5aa81d2c3e3688f9695d25be | [
"BSD-3-Clause"
] | null | null | null | notifications/models.py | lyoniionly/django-notifications | 36ad8ea4dd26445b5aa81d2c3e3688f9695d25be | [
"BSD-3-Clause"
] | null | null | null | notifications/models.py | lyoniionly/django-notifications | 36ad8ea4dd26445b5aa81d2c3e3688f9695d25be | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django import get_version
from distutils.version import StrictVersion
if StrictVersion(get_version()) >= StrictVersion('1.8.0'):
from django.contrib.contenttypes.fields import GenericForeignKey
else:
from six import t... | 34.27305 | 130 | 0.662907 | import datetime
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django import get_version
from distutils.version import StrictVersion
if StrictVersion(get_version()) >= StrictVersion('1.8.0'):
from django.contrib.contenttypes.fields import GenericForeignKey
else:
... | 0 | 40 | 0 | 6,464 | 0 | 861 | 0 | 121 | 274 |
1df86ffb24e207d9ed6e859edcb0221b6c3fcfdd | 987 | py | Python | tests/mdpd/rest.py | LMNS3d/Mirheo | e710291502eb3d1b4001e3811f7b7d105af82c86 | [
"MIT"
] | null | null | null | tests/mdpd/rest.py | LMNS3d/Mirheo | e710291502eb3d1b4001e3811f7b7d105af82c86 | [
"MIT"
] | null | null | null | tests/mdpd/rest.py | LMNS3d/Mirheo | e710291502eb3d1b4001e3811f7b7d105af82c86 | [
"MIT"
] | 1 | 2021-07-14T13:24:05.000Z | 2021-07-14T13:24:05.000Z | #!/usr/bin/env python
import mirheo as mir
dt = 0.001
ranks = (1, 1, 1)
domain = (16, 16, 16)
u = mir.Mirheo(ranks, domain, dt, debug_level=3, log_filename='log')
pv = mir.ParticleVectors.ParticleVector('pv', mass = 1)
ic = mir.InitialConditions.Uniform(number_density=3)
u.registerParticleVector(pv, ic)
rc = 1.0... | 24.675 | 112 | 0.68997 | #!/usr/bin/env python
import mirheo as mir
dt = 0.001
ranks = (1, 1, 1)
domain = (16, 16, 16)
u = mir.Mirheo(ranks, domain, dt, debug_level=3, log_filename='log')
pv = mir.ParticleVectors.ParticleVector('pv', mass = 1)
ic = mir.InitialConditions.Uniform(number_density=3)
u.registerParticleVector(pv, ic)
rc = 1.0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb6c8c56891034281b9e4e6a2fcf44f9933a1416 | 15,814 | py | Python | tests/test_doc_maker.py | farazkhanfk7/hydra-python-core | fe18d88ceb375be4675bb89cddc5096eab27b675 | [
"MIT"
] | 20 | 2019-01-13T23:54:35.000Z | 2021-11-25T09:04:58.000Z | tests/test_doc_maker.py | farazkhanfk7/hydra-python-core | fe18d88ceb375be4675bb89cddc5096eab27b675 | [
"MIT"
] | 63 | 2019-01-13T15:53:06.000Z | 2021-07-23T08:15:09.000Z | tests/test_doc_maker.py | farazkhanfk7/hydra-python-core | fe18d88ceb375be4675bb89cddc5096eab27b675 | [
"MIT"
] | 29 | 2019-01-13T13:46:06.000Z | 2021-12-16T13:01:56.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 36.187643 | 95 | 0.460857 | import unittest
import re
from pyld import jsonld
import requests
from unittest.mock import patch
from hydra_python_core import doc_maker, doc_writer
from samples import doc_writer_sample_output
class TestCreateClass(unittest.TestCase):
"""
Test Class for create_class method
"""
def setUp(self):... | 0 | 13,686 | 0 | 1,739 | 0 | 0 | 0 | 47 | 271 |
145ed4c6d5e66f43b9f096486f8f3ef32e02247f | 2,024 | py | Python | Models/utils/UpConcat2d.py | rinkwitz/Thesis_Semantic_Image_Segmentation_on_Satellite_Imagery_using_UNets | 75d3a4a536f6ef81fe0efd4f5fbba32b627a7472 | [
"MIT"
] | 1 | 2021-05-13T01:41:38.000Z | 2021-05-13T01:41:38.000Z | Models/utils/UpConcat2d.py | rinkwitz/Thesis_Semantic_Image_Segmentation_on_Satellite_Imagery_using_UNets | 75d3a4a536f6ef81fe0efd4f5fbba32b627a7472 | [
"MIT"
] | null | null | null | Models/utils/UpConcat2d.py | rinkwitz/Thesis_Semantic_Image_Segmentation_on_Satellite_Imagery_using_UNets | 75d3a4a536f6ef81fe0efd4f5fbba32b627a7472 | [
"MIT"
] | 1 | 2021-03-13T16:55:06.000Z | 2021-03-13T16:55:06.000Z | import torch
import torch.nn as nn
if __name__ == '__main__':
x_down = torch.randn((1, 128, 56, 56))
x_enc = torch.randn((1, 64, 111, 111))
upconcat = UpConcat2d(in_channels_conv=128, out_channels_conv=64)
y = upconcat(x_down, x_enc)
print(y.shape)
| 43.06383 | 130 | 0.596838 | import torch
import torch.nn as nn
import torch.nn.functional as F
class UpConcat2d(nn.Module):
def __init__(self, in_channels_conv, out_channels_conv, scale_factor=2):
super(UpConcat2d, self).__init__()
self.in_channels_conv = in_channels_conv
self.out_channels_conv = out_channels_conv
... | 0 | 0 | 0 | 1,697 | 0 | 0 | 0 | 10 | 45 |
ad4dfcc231b01d6f7a34b848a1997d16cec5325b | 408 | py | Python | paraVerComoFuncionaAlgumasCoisas/tkinter-coisas/font/2.py | jonasht/pythonEstudos | 5e7d28e7bd82b9d1b08e795867fdbaa743f4b747 | [
"MIT"
] | null | null | null | paraVerComoFuncionaAlgumasCoisas/tkinter-coisas/font/2.py | jonasht/pythonEstudos | 5e7d28e7bd82b9d1b08e795867fdbaa743f4b747 | [
"MIT"
] | null | null | null | paraVerComoFuncionaAlgumasCoisas/tkinter-coisas/font/2.py | jonasht/pythonEstudos | 5e7d28e7bd82b9d1b08e795867fdbaa743f4b747 | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import ttk
from tkinter.font import Font
root = tk.Tk()
# definindo a fonte
grandeFonte = Font(
family='Helvetica',
size=42,
weight='bold',
slant='roman',
underline=0,
overstrike=0
)
bt1 = ttk.Button(root, text='grande botao', font=grandeFonte)
bt1.pack(pady=2... | 19.428571 | 61 | 0.691176 | import tkinter as tk
from tkinter import ttk
from tkinter.font import Font
root = tk.Tk()
# definindo a fonte
grandeFonte = Font(
family='Helvetica',
size=42,
weight='bold',
slant='roman',
underline=0,
overstrike=0
)
bt1 = ttk.Button(root, text='grande botao', font=grandeFonte)
bt1.pack(pady=2... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
52a31f986b71f2a702e0fd6dd7a88bdeba486e9c | 4,448 | py | Python | services/api/tests/integration/keystone_authenticator_tests.py | ohsu-computational-biology/dms-aa | 4aabae8b5ada539fa010a79970093c93fbbddb01 | [
"MIT"
] | null | null | null | services/api/tests/integration/keystone_authenticator_tests.py | ohsu-computational-biology/dms-aa | 4aabae8b5ada539fa010a79970093c93fbbddb01 | [
"MIT"
] | 10 | 2016-12-07T01:37:41.000Z | 2017-01-20T22:20:52.000Z | services/api/tests/integration/keystone_authenticator_tests.py | ohsu-computational-biology/euler | 4aabae8b5ada539fa010a79970093c93fbbddb01 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Test authenticator endpoints, depends on keystone
"""
from json import dumps
def test_login(client, app):
"""
should respond with ok and user
"""
_development_login(client, app)
def test_logout(client):
"""
should respond with ok and user
"""
r = client.po... | 28.33121 | 76 | 0.653103 | #!/usr/bin/env python
"""
Test authenticator endpoints, depends on keystone
"""
from keystone_authenticator import BearerAuth
from json import dumps
import os
def test_encode_decode_token():
profile = {'foo': 'bar'}
auth = BearerAuth()
token = auth.make_token(profile)
parsed = auth.parse_token(token)
... | 0 | 0 | 0 | 73 | 0 | 3,384 | 0 | 12 | 320 |
03759f7ef9485cef2fe1d36eb23d05d79baaf451 | 177 | py | Python | gtfs/apps.py | 559Labs/GTFS-Builder | 48ee90ecaa43eaf6e80a088c6a22153213118f13 | [
"Apache-2.0"
] | 2 | 2017-07-05T06:52:35.000Z | 2021-04-15T08:53:23.000Z | gtfs/apps.py | MarconiMediaGroup/GTFS-Builder | 48ee90ecaa43eaf6e80a088c6a22153213118f13 | [
"Apache-2.0"
] | null | null | null | gtfs/apps.py | MarconiMediaGroup/GTFS-Builder | 48ee90ecaa43eaf6e80a088c6a22153213118f13 | [
"Apache-2.0"
] | 2 | 2017-07-05T06:52:39.000Z | 2018-02-11T01:54:43.000Z | #!/env/bin/python
# -*- coding: utf-8 -*- | 25.285714 | 53 | 0.683616 | #!/env/bin/python
# -*- coding: utf-8 -*-
from django.apps import AppConfig
class GTFSConfig(AppConfig):
name = 'gtfs'
verbose_name = 'General Transit Feed Spec (GTFS)' | 0 | 0 | 0 | 79 | 0 | 0 | 0 | 12 | 45 |
20cdadc43f7f0fbddcc40c1c7b51c46475d844b7 | 2,384 | py | Python | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | 1 | 2019-12-16T16:45:11.000Z | 2019-12-16T16:45:11.000Z | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | 3 | 2021-06-04T22:05:06.000Z | 2021-09-22T18:05:05.000Z | app/ecommerce/admin.py | nguyenanhtuan21/ecommerce-django | df29b31073b8e24ae9fbb294ca0c3ba8c81c09ae | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Brand, Product, Profile, Instagram, OrderItem, Order
# Register your models here.
make_published.short_description = "Mark selected stories as published"
admin.site.register(Brand,BrandAdmin)
admin.site.register(Product, ProductAdmin)
admin.site.register(... | 40.40678 | 149 | 0.707215 | from django.contrib import admin
from .models import Brand, Product, Profile, Instagram, OrderItem,Order
from django.utils.html import format_html
# Register your models here.
def make_published(modeladmin, request, queryset):
queryset.update(name='Váy')
make_published.short_description = "Mark selected stories as... | 2 | 0 | 0 | 1,651 | 0 | 60 | 0 | 19 | 184 |
b9e502d8b076c558257d6bd137f2d54d711a28a6 | 7,084 | py | Python | server/main/components/base_config_components.py | INRIM/forms-theme-italia | 45415a16e32c8c93ee8d234262149ed0635cf212 | [
"MIT"
] | null | null | null | server/main/components/base_config_components.py | INRIM/forms-theme-italia | 45415a16e32c8c93ee8d234262149ed0635cf212 | [
"MIT"
] | null | null | null | server/main/components/base_config_components.py | INRIM/forms-theme-italia | 45415a16e32c8c93ee8d234262149ed0635cf212 | [
"MIT"
] | null | null | null | # 2020 Alessio Gerace @ Inrim
import os
import importlib
import logging
import ipaddress as ipaddr
logger = logging.getLogger()
alert_base = {
"succcess": {
"alert_type": "success",
"message": "Dati aggiornati con successo",
"add_class": " mx-auto col-6 ",
"hide_close_btn": True
... | 24.85614 | 91 | 0.568323 | # 2020 Alessio Gerace @ Inrim
import os
import importlib
import importlib.util
import json
from datetime import datetime
import logging
import base64
from typing import Union
import ipaddress as ipaddr
import requests
import re
logger = logging.getLogger()
alert_base = {
"succcess": {
"alert_type": "succe... | 0 | 0 | 0 | 0 | 0 | 2,402 | 0 | -25 | 407 |
71fd6f825b0e853244a11e601de1ff17cf9411b9 | 304 | py | Python | Python 3.8/1159 - Soma de Pares Consecutivos.py | JhonatanGuilherme/BeeCrowd | e039f8128399697ad9eb75f48047b83eb7b0201e | [
"MIT"
] | null | null | null | Python 3.8/1159 - Soma de Pares Consecutivos.py | JhonatanGuilherme/BeeCrowd | e039f8128399697ad9eb75f48047b83eb7b0201e | [
"MIT"
] | null | null | null | Python 3.8/1159 - Soma de Pares Consecutivos.py | JhonatanGuilherme/BeeCrowd | e039f8128399697ad9eb75f48047b83eb7b0201e | [
"MIT"
] | null | null | null | X = 1
CONTADOR = 0
CONTADOR2 = 0
while True:
X = int(input())
CONTADOR = 0
CONTADOR2 = 0
if X == 0:
break
while CONTADOR2 != 5:
if X % 2 == 0:
CONTADOR += X
CONTADOR2 += 1
X += 1
else:
X += 1
print(CONTADOR)
| 16.888889 | 26 | 0.417763 | X = 1
CONTADOR = 0
CONTADOR2 = 0
while True:
X = int(input())
CONTADOR = 0
CONTADOR2 = 0
if X == 0:
break
while CONTADOR2 != 5:
if X % 2 == 0:
CONTADOR += X
CONTADOR2 += 1
X += 1
else:
X += 1
print(CONTADOR)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d4dd2c22dd4eddd3b4f5117bb1b34652e7415566 | 900 | py | Python | setup.py | Cmiroslaf/protoc-gen-stub | 3e3937ae0420c359437f8afdf0a1a9224a981675 | [
"MIT"
] | 2 | 2019-02-18T00:37:00.000Z | 2019-03-06T13:10:06.000Z | setup.py | Cmiroslaf/protoc-gen-stub | 3e3937ae0420c359437f8afdf0a1a9224a981675 | [
"MIT"
] | null | null | null | setup.py | Cmiroslaf/protoc-gen-stub | 3e3937ae0420c359437f8afdf0a1a9224a981675 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name="ProtoC Python Typing generator plugin",
version="0.2",
install_requires=['protobuf'],
scripts=['protoc-gen-python_grpc_typings', 'protoc-gen-python_typings'],
packages=['stubs_generator'],
# metadata for upload to PyPI
author="Miroslav Cibulka",
... | 33.333333 | 94 | 0.694444 | from setuptools import setup
setup(
name="ProtoC Python Typing generator plugin",
version="0.2",
install_requires=['protobuf'],
scripts=['protoc-gen-python_grpc_typings', 'protoc-gen-python_typings'],
packages=['stubs_generator'],
# metadata for upload to PyPI
author="Miroslav Cibulka",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c74ce96c0653aea7fa697eeba2df372f73853100 | 8,831 | py | Python | applications/incompressible_fluid_application/python_scripts/xivas_solver.py | lcirrott/Kratos | 8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea | [
"BSD-4-Clause"
] | 2 | 2019-10-25T09:28:10.000Z | 2019-11-21T12:51:46.000Z | applications/incompressible_fluid_application/python_scripts/xivas_solver.py | lcirrott/Kratos | 8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea | [
"BSD-4-Clause"
] | 13 | 2019-10-07T12:06:51.000Z | 2020-02-18T08:48:33.000Z | applications/incompressible_fluid_application/python_scripts/xivas_solver.py | lcirrott/Kratos | 8406e73e0ad214c4f89df4e75e9b29d0eb4a47ea | [
"BSD-4-Clause"
] | 1 | 2020-06-12T08:51:24.000Z | 2020-06-12T08:51:24.000Z | from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
# -*- coding: utf-8 -*-
# importing the Kratos Library
| 35.898374 | 179 | 0.672857 | from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
# -*- coding: utf-8 -*-
# importing the Kratos Library
from KratosMultiphysics import *
from KratosMultiphysics.IncompressibleFluidApplication import *
import edgebased_eulerian_solver
... | 0 | 0 | 0 | 7,194 | 0 | 1,208 | 0 | 54 | 181 |
ed8c4eb7ebc03d9f971b6d8c95f021560300ca10 | 1,654 | py | Python | assignments/flask-adopt/forms.py | demohack/nonpub | e53bcec7115bcb2605687bb272d843e1e8d17ae5 | [
"MIT"
] | null | null | null | assignments/flask-adopt/forms.py | demohack/nonpub | e53bcec7115bcb2605687bb272d843e1e8d17ae5 | [
"MIT"
] | 17 | 2021-03-24T14:59:50.000Z | 2022-03-05T23:52:31.000Z | assignments/flask-adopt/forms.py | demohack/nonpub | e53bcec7115bcb2605687bb272d843e1e8d17ae5 | [
"MIT"
] | null | null | null | """Forms for our demo Flask app."""
# https://wtforms.readthedocs.io/en/3.0.x/validators/#built-in-validators
| 33.755102 | 83 | 0.673519 | """Forms for our demo Flask app."""
from flask_wtf import FlaskForm
from wtforms import StringField, FloatField, DateField, IntegerField
from wtforms.validators import InputRequired, Optional, Email, URL, ValidationError
def valid_species():
message = 'Must be a cat, dog, or porcupine.'
def _species(form, f... | 0 | 0 | 0 | 825 | 0 | 437 | 0 | 119 | 159 |
b6967ce933687a0a88fe4170f3865b2a931b9eb9 | 17,196 | py | Python | subt/artf_node.py | robotika/osgar | 6f4f584d5553ab62c08a1c7bb493fefdc9033173 | [
"MIT"
] | 12 | 2017-02-16T10:22:59.000Z | 2022-03-20T05:48:06.000Z | subt/artf_node.py | robotika/osgar | 6f4f584d5553ab62c08a1c7bb493fefdc9033173 | [
"MIT"
] | 618 | 2016-08-30T04:46:12.000Z | 2022-03-25T16:03:10.000Z | subt/artf_node.py | robotika/osgar | 6f4f584d5553ab62c08a1c7bb493fefdc9033173 | [
"MIT"
] | 11 | 2016-08-27T20:02:55.000Z | 2022-03-07T08:53:53.000Z | """
OSGAR ArtifactDetectorDNN wrapper for DNN detector
"""
import numpy as np
try:
except ImportError:
print('\nWarning: missing torch!\n')
from osgar.lib.depth import decompress as decompress_depth
from osgar.lib.quaternion import transform
from subt.artf_utils import NAME2IGN
def result2report(result, dept... | 45.734043 | 202 | 0.598221 | """
OSGAR ArtifactDetectorDNN wrapper for DNN detector
"""
import os.path
from io import StringIO
import cv2
import numpy as np
from subt.tf_detector import CvDetector
try:
import torch
import subt.artf_model
from subt.artf_detector import Detector
except ImportError:
print('\nWarning: missing torch!... | 0 | 0 | 0 | 9,207 | 0 | 2,362 | 0 | 98 | 376 |
84f273e313c7cafb5c945e0360110c5397237ff6 | 2,595 | py | Python | m2g/functional/m2g_func.py | caseypw/m2g | be29587322ab1fafb96f6afb726efbdb39b64b66 | [
"Apache-2.0"
] | null | null | null | m2g/functional/m2g_func.py | caseypw/m2g | be29587322ab1fafb96f6afb726efbdb39b64b66 | [
"Apache-2.0"
] | null | null | null | m2g/functional/m2g_func.py | caseypw/m2g | be29587322ab1fafb96f6afb726efbdb39b64b66 | [
"Apache-2.0"
] | null | null | null | import subprocess
import yaml
def make_dataconfig(input_dir, sub, ses, anat, func, acquisition='alt+z', tr=2.0):
"""Generates the data_config file needed by cpac
Arguments:
input_dir {str} -- Path of directory containing input files
sub {int} -- subject number
ses {int} -- session ... | 33.269231 | 167 | 0.625434 | import subprocess
import yaml
from m2g.utils.gen_utils import run
def make_dataconfig(input_dir, sub, ses, anat, func, acquisition='alt+z', tr=2.0):
"""Generates the data_config file needed by cpac
Arguments:
input_dir {str} -- Path of directory containing input files
sub {int} -- subject ... | 0 | 0 | 0 | 0 | 0 | 499 | 0 | 14 | 45 |
7aca254d3351af954dc659bc9bef1a61dfdb5e5e | 1,234 | py | Python | ga/chromosome.py | dollking/optimize | 4918c059d1db44f17520c8edca82071665fc459f | [
"MIT"
] | null | null | null | ga/chromosome.py | dollking/optimize | 4918c059d1db44f17520c8edca82071665fc459f | [
"MIT"
] | null | null | null | ga/chromosome.py | dollking/optimize | 4918c059d1db44f17520c8edca82071665fc459f | [
"MIT"
] | 1 | 2018-10-17T10:59:48.000Z | 2018-10-17T10:59:48.000Z | """
optimize.ga.chromosome
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Implements class for manage chromosome.
:copyright: Hwang.S.J.
:license: MIT LICENSE 1.0 .
"""
| 29.380952 | 130 | 0.584279 | """
optimize.ga.chromosome
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Implements class for manage chromosome.
:copyright: Hwang.S.J.
:license: MIT LICENSE 1.0 .
"""
from .gene import Gene
class Chromosome(object):
def __init__(self):
self.chromosome = []
def add_gene(self, dtype, value_range, is... | 0 | 543 | 0 | 474 | 0 | 0 | 0 | 1 | 46 |
7ae4a4250856757b73353ecdc3375b349f34ea42 | 257 | py | Python | fourthcol_irisdata.py | karolinaszafranbelzowska/Fisher-s-Iris-Data-Set-2019 | 5ad7fb98ab65d268dd7a9ebebd13eb00970ddc4b | [
"Apache-2.0"
] | null | null | null | fourthcol_irisdata.py | karolinaszafranbelzowska/Fisher-s-Iris-Data-Set-2019 | 5ad7fb98ab65d268dd7a9ebebd13eb00970ddc4b | [
"Apache-2.0"
] | null | null | null | fourthcol_irisdata.py | karolinaszafranbelzowska/Fisher-s-Iris-Data-Set-2019 | 5ad7fb98ab65d268dd7a9ebebd13eb00970ddc4b | [
"Apache-2.0"
] | null | null | null | # Karolina Szafran-Belzowska, 2019/04/25
# Iris flower data analysis
# fourth column (petal width)
import csv
with open('irisdata_project_2019.csv') as data:
readCSV = csv.reader(data, delimiter=',')
for row in readCSV:
print(row[3])
| 21.416667 | 47 | 0.684825 | # Karolina Szafran-Belzowska, 2019/04/25
# Iris flower data analysis
# fourth column (petal width)
import csv
with open('irisdata_project_2019.csv') as data:
readCSV = csv.reader(data, delimiter=',')
for row in readCSV:
print(row[3])
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06052d8a020642bc0f3198dc472d5dedaee5f8ae | 752 | py | Python | units/data_transfer_rate/giga_bytes_per_second.py | putridparrot/PyUnits | 4f1095c6fc0bee6ba936921c391913dbefd9307c | [
"MIT"
] | null | null | null | units/data_transfer_rate/giga_bytes_per_second.py | putridparrot/PyUnits | 4f1095c6fc0bee6ba936921c391913dbefd9307c | [
"MIT"
] | null | null | null | units/data_transfer_rate/giga_bytes_per_second.py | putridparrot/PyUnits | 4f1095c6fc0bee6ba936921c391913dbefd9307c | [
"MIT"
] | null | null | null | # <auto-generated>
# This code was generated by the UnitCodeGenerator tool
#
# Changes to this file will be lost if the code is regenerated
# </auto-generated>
| 26.857143 | 62 | 0.772606 | # <auto-generated>
# This code was generated by the UnitCodeGenerator tool
#
# Changes to this file will be lost if the code is regenerated
# </auto-generated>
def to_bits_per_second(value):
return value * 8e+9
def to_kilo_bits_per_second(value):
return value * 8e+6
def to_mega_bits_per_second(value):
return val... | 0 | 0 | 0 | 0 | 0 | 370 | 0 | 0 | 221 |
8cebba237c8e389f277f2889ff4f34d7ad956646 | 1,635 | py | Python | Chat Project/gui.py | kitusmark/bash-python | 2b6eea9ed20879a7c74342c926f831d25667fe2b | [
"MIT"
] | 1 | 2016-07-30T07:23:47.000Z | 2016-07-30T07:23:47.000Z | Chat Project/gui.py | kitusmark/bash-python | 2b6eea9ed20879a7c74342c926f831d25667fe2b | [
"MIT"
] | null | null | null | Chat Project/gui.py | kitusmark/bash-python | 2b6eea9ed20879a7c74342c926f831d25667fe2b | [
"MIT"
] | null | null | null | #!/usr/local/bin/python2.7
#GUI for the Chat Project program
#We're using Tkinter module
#Our App will be class based so:
root = Tk()
c= Chat(root)
#Size and Name of the main window
nomFinestra = 'EiFC Xat'
root.title(nomFinestra)
root.geometry('400x500')
root.resizable(width=FALSE, height=FALSE)
root.mainloop()... | 24.772727 | 110 | 0.682569 | #!/usr/local/bin/python2.7
#GUI for the Chat Project program
#We're using Tkinter module
from Tkinter import *
import tkMessageBox #Module used for system info boxes
#Our App will be class based so:
class Chat:
def __init__(self, master):
# ************* Menu **************
menubar = Menu(master)
menubar.ad... | 0 | 0 | 0 | 1,213 | 0 | 0 | 0 | -2 | 103 |
d2b2219ce4263d3cd8e7b7e0b1889793b68e5312 | 948 | py | Python | ciphers/rail-fence-cipher.py | CipherVision/Traditional-Ciphers | dbf8ca376fa3883f63469327362b61ca4b468ecd | [
"MIT"
] | null | null | null | ciphers/rail-fence-cipher.py | CipherVision/Traditional-Ciphers | dbf8ca376fa3883f63469327362b61ca4b468ecd | [
"MIT"
] | null | null | null | ciphers/rail-fence-cipher.py | CipherVision/Traditional-Ciphers | dbf8ca376fa3883f63469327362b61ca4b468ecd | [
"MIT"
] | null | null | null | #END FUNCTIONS
m = "CHECKUNDERTHEFLOORBOARD"
c = railFenceCipher(m, 2) #Choose a key
print("--Begin Encryption--")
for k in range(2, 11):
print("Key %s: %s" % (k, railFenceCipher(m, k)))
print("--End Encryption--\n")
print("--Begin Decryption--")
for k in range(2, 11):
print("Key %s: %s" % (k, railFenceCipher(... | 20.608696 | 56 | 0.472574 | def railFenceCipher(c, k, d=False):
g = [[] for i in range(k)]
c = list(c.upper().replace(" ", ""))
x = 0
l = 1
if(d):
m = ""
l = k+1
for r in range(l):
cr = 0
dn = True
for i in range(len(c)):
if(not d):
g[cr].append(c[i])
else:
if(r < k):
if(cr == ... | 0 | 0 | 0 | 0 | 0 | 564 | 0 | 0 | 22 |
cc34751535f1ec9fc1a3695926c040f47233da5a | 3,386 | py | Python | rapt/events.py | yougov/rapt | 927332b2893522e20fa6041077de498ec8e275ae | [
"BSD-3-Clause"
] | 1 | 2015-03-24T20:01:34.000Z | 2015-03-24T20:01:34.000Z | rapt/events.py | yougov/rapt | 927332b2893522e20fa6041077de498ec8e275ae | [
"BSD-3-Clause"
] | null | null | null | rapt/events.py | yougov/rapt | 927332b2893522e20fa6041077de498ec8e275ae | [
"BSD-3-Clause"
] | 1 | 2022-03-26T10:08:33.000Z | 2022-03-26T10:08:33.000Z |
FORMAT_TMPL = '{time} {title} {tags}'
| 29.189655 | 75 | 0.544891 | class SwarmEventProps(object):
@property
def deploy_title(self):
if not hasattr(self, '_deploy_title'):
self._deploy_title = '%s-%s-%s' % (self.app_name,
self.version,
self.proc_name)
retur... | 0 | 492 | 0 | 1,757 | 474 | 451 | 0 | 0 | 168 |
ac96ef5486bcf3bff0f0f8a68f711530b47e5db9 | 563 | py | Python | module/mail/mail.py | yangwenke2010/template_crawler | b95e626184cda21d2abe01fd1f2b399e4946e782 | [
"Apache-2.0"
] | 4 | 2018-12-16T15:06:20.000Z | 2022-03-09T11:18:11.000Z | module/mail/mail.py | yangwenke2010/template_crawler | b95e626184cda21d2abe01fd1f2b399e4946e782 | [
"Apache-2.0"
] | 1 | 2018-10-12T07:32:13.000Z | 2018-10-12T07:32:13.000Z | module/mail/mail.py | yangwenke2010/template_crawler | b95e626184cda21d2abe01fd1f2b399e4946e782 | [
"Apache-2.0"
] | 2 | 2018-10-12T06:58:08.000Z | 2020-03-19T10:44:34.000Z | # -*- coding: utf-8 -*- | 28.15 | 88 | 0.586146 | # -*- coding: utf-8 -*-
from util.mail.sender import Sender
from os.path import getsize
class Mail(object):
@staticmethod
def send(msg, sub, attachments={}):
sender = Sender(msg, sub)
checked_attach = dict()
for kv in attachments.items():
if getsize(kv[1]) <= 50 ... | 0 | 427 | 0 | -2 | 0 | 0 | 0 | 20 | 95 |
9bd8e4260b70c201caf0c0f1b89f936935ba424d | 2,128 | py | Python | perma_web/perma/settings/settings.example.py | leppert/perma | adb0cec29679c3d161d72330e19114f89f8c42ac | [
"MIT",
"Unlicense"
] | null | null | null | perma_web/perma/settings/settings.example.py | leppert/perma | adb0cec29679c3d161d72330e19114f89f8c42ac | [
"MIT",
"Unlicense"
] | null | null | null | perma_web/perma/settings/settings.example.py | leppert/perma | adb0cec29679c3d161d72330e19114f89f8c42ac | [
"MIT",
"Unlicense"
] | null | null | null | # NOTE: If you are running a local test environment, settings_dev will already have sensible defaults for many of these.
# Only override the ones you need to, so you're less likely to have to make manual settings updates after pulling in changes.
# Choose one of these:
# from .deployments.settings_dev import *
# from ... | 34.885246 | 125 | 0.745301 | # NOTE: If you are running a local test environment, settings_dev will already have sensible defaults for many of these.
# Only override the ones you need to, so you're less likely to have to make manual settings updates after pulling in changes.
# Choose one of these:
# from .deployments.settings_dev import *
# from ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7f50e7055d5b6f3f0c8269186a5c673279e5136 | 11,839 | py | Python | custom_components/deepstack_face/image_processing.py | Hoellenwesen/HASS-Deepstack-face | 5ca4a75ec7aab092124edf77aa692c78bedb2a96 | [
"MIT"
] | null | null | null | custom_components/deepstack_face/image_processing.py | Hoellenwesen/HASS-Deepstack-face | 5ca4a75ec7aab092124edf77aa692c78bedb2a96 | [
"MIT"
] | null | null | null | custom_components/deepstack_face/image_processing.py | Hoellenwesen/HASS-Deepstack-face | 5ca4a75ec7aab092124edf77aa692c78bedb2a96 | [
"MIT"
] | null | null | null | """
Component that will perform facial recognition via deepstack.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/image_processing.deepstack_face
"""
import logging
from pathlib import Path
import homeassistant.helpers.config_validation as cv
import volup... | 32.70442 | 104 | 0.62235 | """
Component that will perform facial recognition via deepstack.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/image_processing.deepstack_face
"""
import io
import logging
import re
import time
from pathlib import Path
import requests
from PIL import ... | 0 | 889 | 0 | 5,459 | 0 | 95 | 0 | 132 | 246 |
1b921c3ff17a4cdbe911e15e801fa86ade4e10f0 | 4,574 | py | Python | RJ's Toolbox/Custom_Transformers.py | rayjustinhuang/Data-Analysis-and-Machine-Learning | 469a6e96566b935dc71f6589d8f070fcc12e76ec | [
"MIT"
] | null | null | null | RJ's Toolbox/Custom_Transformers.py | rayjustinhuang/Data-Analysis-and-Machine-Learning | 469a6e96566b935dc71f6589d8f070fcc12e76ec | [
"MIT"
] | null | null | null | RJ's Toolbox/Custom_Transformers.py | rayjustinhuang/Data-Analysis-and-Machine-Learning | 469a6e96566b935dc71f6589d8f070fcc12e76ec | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 5 07:35:15 2018
@author: Ray Justin O. Huang
"""
# PerColumnAttributesAdder
# Used to quickly add columns that are fractions of other columns
# StringCaseChanger
# Used to change the case of a column that contains strings
# Randomizer
# Used to randomize t... | 33.881481 | 104 | 0.594884 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 5 07:35:15 2018
@author: Ray Justin O. Huang
"""
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
import string
# PerColumnAttributesAdder
# Used to quickly add columns that are fractions of other columns
class PerColumnA... | 0 | 0 | 0 | 3,792 | 0 | 0 | 0 | 22 | 198 |
aa4a25de89605ee49512c8c34c6d4af4a44dfe52 | 153 | py | Python | abc/160/b/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | abc/160/b/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | abc/160/b/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | X = int(input())
five_hundread_yen_coin_num = X // 500
five_yen_coin_num = X % 500 // 5
print(five_hundread_yen_coin_num * 1000 + five_yen_coin_num * 5) | 30.6 | 64 | 0.745098 | X = int(input())
five_hundread_yen_coin_num = X // 500
five_yen_coin_num = X % 500 // 5
print(five_hundread_yen_coin_num * 1000 + five_yen_coin_num * 5) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |