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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4a19dc7f71dea3bb0a1c5aed0c7447e12cb612b4 | 1,026 | py | Python | game_scripts/furniture.py | AlexandreUser/Yuusha-no-isekai | 7990ab1f5765f7dae2766fe89dd4a5acfec86f4f | [
"MIT"
] | null | null | null | game_scripts/furniture.py | AlexandreUser/Yuusha-no-isekai | 7990ab1f5765f7dae2766fe89dd4a5acfec86f4f | [
"MIT"
] | null | null | null | game_scripts/furniture.py | AlexandreUser/Yuusha-no-isekai | 7990ab1f5765f7dae2766fe89dd4a5acfec86f4f | [
"MIT"
] | null | null | null | def return_2x(url,times,pygame):
img = pygame.image.load(url)
size = img.get_size()
bigger = pygame.transform.scale(img,(int(size[0]*times),int(size[1]*times)))
return bigger
class furniture:
def __init__(self,x,reduce_x,y,reduce_y,width,height,name,pygame):
self.x = x
self.y = y
self.reduce_x = reduce_x
s... | 39.461538 | 90 | 0.682261 |
4a19dce4731b61ee5a54dd6db9d35de17a530613 | 3,292 | py | Python | tests/unit/trace/propagation/test_text_format.py | Flared/opencensus-python | e2535e688a50c7a06be8af93ca3b987d387da605 | [
"Apache-2.0"
] | 650 | 2017-07-09T02:08:10.000Z | 2022-03-22T20:39:54.000Z | tests/unit/trace/propagation/test_text_format.py | Flared/opencensus-python | e2535e688a50c7a06be8af93ca3b987d387da605 | [
"Apache-2.0"
] | 735 | 2017-07-26T01:15:16.000Z | 2022-03-29T20:17:20.000Z | tests/unit/trace/propagation/test_text_format.py | Flared/opencensus-python | e2535e688a50c7a06be8af93ca3b987d387da605 | [
"Apache-2.0"
] | 256 | 2017-07-24T18:29:15.000Z | 2022-03-15T15:33:03.000Z | # Copyright 2017, OpenCensus 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 w... | 36.988764 | 79 | 0.720838 |
4a19dd02c54b95d109eb5e38dd52e241e83c03ff | 2,207 | py | Python | examples/spacer.py | LukeMS/pyglet-gui | 20ec4b335c9af3698dfa8328894544d4d0417973 | [
"BSD-3-Clause"
] | 52 | 2015-04-18T20:45:52.000Z | 2021-11-21T14:50:10.000Z | examples/spacer.py | LukeMS/pyglet-gui | 20ec4b335c9af3698dfa8328894544d4d0417973 | [
"BSD-3-Clause"
] | 8 | 2015-06-14T19:35:55.000Z | 2018-06-29T13:52:28.000Z | examples/spacer.py | jorgecarleitao/pyglet-gui | 20ec4b335c9af3698dfa8328894544d4d0417973 | [
"BSD-3-Clause"
] | 21 | 2015-07-22T16:21:11.000Z | 2021-09-23T09:37:43.000Z | from setup import *
from pyglet_gui.manager import Manager
from pyglet_gui.buttons import Button
from pyglet_gui.containers import HorizontalContainer, VerticalContainer, Spacer
from pyglet_gui.theme import Theme
theme = Theme({"font": "Lucida Grande",
"font_size": 12,
"text_color": [255... | 36.783333 | 92 | 0.363389 |
4a19ddaa984bcfaa49ff390217dd76eb9c2f3985 | 27,183 | py | Python | skrules/skope_rules.py | TomLaMantia/skope-rules | d9a777f84836905f726cb6221fe335cc1b935ae5 | [
"MIT"
] | 1 | 2021-12-26T06:04:25.000Z | 2021-12-26T06:04:25.000Z | skrules/skope_rules.py | TomLaMantia/skope-rules | d9a777f84836905f726cb6221fe335cc1b935ae5 | [
"MIT"
] | null | null | null | skrules/skope_rules.py | TomLaMantia/skope-rules | d9a777f84836905f726cb6221fe335cc1b935ae5 | [
"MIT"
] | 1 | 2019-07-25T18:38:51.000Z | 2019-07-25T18:38:51.000Z | import numpy as np
from collections import Counter, Iterable
import pandas
import numbers
from warnings import warn
from sklearn.base import BaseEstimator
from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
from sklearn.utils.multiclass import check_classification_targets
from sklearn.tree imp... | 39.168588 | 79 | 0.572968 |
4a19df6d14677bda79a4696a54800494f1c97393 | 4,122 | py | Python | packages/python/plotly/plotly/graph_objs/surface/_stream.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/surface/_stream.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/surface/_stream.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "surface"
_path_str = "surface.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints... | 29.028169 | 82 | 0.540757 |
4a19e204efd52a6054c7c35b965acece36cc51b2 | 1,210 | py | Python | model-optimizer/mo/front/kaldi/extractors/memoryoffset_ext.py | zhoub/dldt | e42c01cf6e1d3aefa55e2c5df91f1054daddc575 | [
"Apache-2.0"
] | 3 | 2020-02-09T23:25:37.000Z | 2021-01-19T09:44:12.000Z | model-optimizer/mo/front/kaldi/extractors/memoryoffset_ext.py | zhoub/dldt | e42c01cf6e1d3aefa55e2c5df91f1054daddc575 | [
"Apache-2.0"
] | null | null | null | model-optimizer/mo/front/kaldi/extractors/memoryoffset_ext.py | zhoub/dldt | e42c01cf6e1d3aefa55e2c5df91f1054daddc575 | [
"Apache-2.0"
] | 2 | 2020-04-18T16:24:39.000Z | 2021-01-19T09:42:19.000Z | """
Copyright (c) 2019 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | 31.025641 | 73 | 0.690909 |
4a19e320c2a4c0b1b0b434d4a749779357179876 | 617 | py | Python | modules/1/scicalc.py | mdazharuddin1011999/IoT_Assignment_3 | 1a627e0c5785b683c5f61fb7b2f7dea1e395e1cc | [
"MIT"
] | null | null | null | modules/1/scicalc.py | mdazharuddin1011999/IoT_Assignment_3 | 1a627e0c5785b683c5f61fb7b2f7dea1e395e1cc | [
"MIT"
] | null | null | null | modules/1/scicalc.py | mdazharuddin1011999/IoT_Assignment_3 | 1a627e0c5785b683c5f61fb7b2f7dea1e395e1cc | [
"MIT"
] | null | null | null | from math import sqrt, sin, cos, tan, log, exp
def addition(a, b):
return a+b
def subtraction(a, b):
return a-b
def division(a, b):
return a/b
def multiplication(a, b):
return a*b
def modulus(a, b):
return a%b
def power(a, b):
return a**b
def square_root(n):
return sqrt(n)
def cubic_... | 13.413043 | 46 | 0.602917 |
4a19e336f3fbc9b5f1be961969a38ea6b55c3df4 | 3,238 | py | Python | apps/odoo/lib/odoo-10.0.post20170615-py2.7.egg/odoo/addons/payment_transfer/models/payment.py | gtfarng/Odoo_migrade | 9cc28fae4c379e407645248a29d22139925eafe7 | [
"Apache-2.0"
] | 1 | 2019-12-19T01:53:13.000Z | 2019-12-19T01:53:13.000Z | apps/odoo/lib/odoo-10.0.post20170615-py2.7.egg/odoo/addons/payment_transfer/models/payment.py | gtfarng/Odoo_migrade | 9cc28fae4c379e407645248a29d22139925eafe7 | [
"Apache-2.0"
] | null | null | null | apps/odoo/lib/odoo-10.0.post20170615-py2.7.egg/odoo/addons/payment_transfer/models/payment.py | gtfarng/Odoo_migrade | 9cc28fae4c379e407645248a29d22139925eafe7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from odoo import api, fields, models, _
from odoo.addons.payment.models.payment_acquirer import ValidationError
from odoo.tools.float_utils import float_compare
import logging
import pprint
_logger = logging.getLogger(__name__)
class TransferPaymentAcquirer(models.Model):
_inherit = 'pa... | 39.487805 | 145 | 0.64824 |
4a19e39a02849231f8e5f69892a2d24692f2d297 | 29,571 | py | Python | src/pystdlib/values/float_value.py | jwcompdev/UltimateLinuxToolkit | 7f03e6bebf2739bdd32e64f18566d68f13687421 | [
"Apache-2.0"
] | null | null | null | src/pystdlib/values/float_value.py | jwcompdev/UltimateLinuxToolkit | 7f03e6bebf2739bdd32e64f18566d68f13687421 | [
"Apache-2.0"
] | null | null | null | src/pystdlib/values/float_value.py | jwcompdev/UltimateLinuxToolkit | 7f03e6bebf2739bdd32e64f18566d68f13687421 | [
"Apache-2.0"
] | null | null | null | # PyLinuxToolkit
# Copyright (C) 2022 JWCompDev
#
# float_value.py
# Copyright (C) 2022 JWCompDev <jwcompdev@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation; either version 2.0 of the License,... | 32.711283 | 88 | 0.623787 |
4a19e3c517e26691e7e7d6ab97b55e53664627bf | 1,195 | py | Python | core/packages/router/route_manager.py | Shardj/py-gangue | d02e4e0b0c85069cb4ca9c507be77ecaac51dd73 | [
"MIT"
] | null | null | null | core/packages/router/route_manager.py | Shardj/py-gangue | d02e4e0b0c85069cb4ca9c507be77ecaac51dd73 | [
"MIT"
] | null | null | null | core/packages/router/route_manager.py | Shardj/py-gangue | d02e4e0b0c85069cb4ca9c507be77ecaac51dd73 | [
"MIT"
] | null | null | null | import sys, os, pickle, core.packages.router.route as RouteImport, core.helpers as Helpers
class RouteManger:
cliRouteImportStrings = [{'path': 'core.routes.cli_routing' , 'initFunction' : 'defineRoutes'}, {'path': 'app.routes.cli_routing' , 'initFunction' : 'defineRoutes'}]
def __init__(self):
self.ro... | 45.961538 | 169 | 0.643515 |
4a19e4b235de1814c948fe27d644fdde5a43ca27 | 3,190 | py | Python | piccolo/apps/schema/commands/graph.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 750 | 2019-01-03T16:02:48.000Z | 2022-03-30T19:53:03.000Z | piccolo/apps/schema/commands/graph.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 311 | 2019-01-14T13:07:13.000Z | 2022-03-31T07:43:08.000Z | piccolo/apps/schema/commands/graph.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 48 | 2020-12-18T08:13:50.000Z | 2022-03-24T03:18:06.000Z | """
Credit to the Django Extensions team for inspiring this tool.
"""
import dataclasses
import os
import sys
import typing as t
import jinja2
from piccolo.conf.apps import Finder
TEMPLATE_DIRECTORY = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "templates"
)
JINJA_ENV = jinja2.Environment(
lo... | 27.982456 | 76 | 0.599687 |
4a19e71af2fb31efbb233e3d1c621faeb35ab03f | 20,855 | py | Python | src/virtual-wan/azext_vwan/vendored_sdks/v2018_08_01/v2018_08_01/aio/operations/_routes_operations.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/virtual-wan/azext_vwan/vendored_sdks/v2018_08_01/v2018_08_01/aio/operations/_routes_operations.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/virtual-wan/azext_vwan/vendored_sdks/v2018_08_01/v2018_08_01/aio/operations/_routes_operations.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.613054 | 210 | 0.664253 |
4a19e86cce7a6e620fb7775ca36a6d0b8afe95bb | 428 | py | Python | examples/usage_example.py | haikusw/jaqalpaq | d507e894cb897756a1e51c99582b736254995b4e | [
"Apache-2.0"
] | 8 | 2021-02-19T23:25:28.000Z | 2021-09-24T20:11:13.000Z | examples/usage_example.py | haikusw/jaqalpaq | d507e894cb897756a1e51c99582b736254995b4e | [
"Apache-2.0"
] | null | null | null | examples/usage_example.py | haikusw/jaqalpaq | d507e894cb897756a1e51c99582b736254995b4e | [
"Apache-2.0"
] | null | null | null | import jaqalpaq
from jaqalpaq.parser import parse_jaqal_file
from jaqalpaq.emulator import run_jaqal_circuit
from jaqalpaq.generator import generate_jaqal_program
JaqalCircuitObject = parse_jaqal_file("jaqal/Sxx_circuit.jaqal")
JaqalCircuitResults = run_jaqal_circuit(JaqalCircuitObject)
print(f"Probabilities: {JaqalCi... | 42.8 | 80 | 0.876168 |
4a19e88308cd188464c5b852b15bb530253b1f1c | 241 | py | Python | output/models/nist_data/list_pkg/g_day/schema_instance/nistschema_sv_iv_list_g_day_max_length_3_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/g_day/schema_instance/nistschema_sv_iv_list_g_day_max_length_3_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/g_day/schema_instance/nistschema_sv_iv_list_g_day_max_length_3_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.list_pkg.g_day.schema_instance.nistschema_sv_iv_list_g_day_max_length_3_xsd.nistschema_sv_iv_list_g_day_max_length_3 import NistschemaSvIvListGDayMaxLength3
__all__ = [
"NistschemaSvIvListGDayMaxLength3",
]
| 40.166667 | 185 | 0.887967 |
4a19ea516c1e8a68ed3f135088e2760f06cda272 | 34,091 | py | Python | src/sentry/conf/server.py | ccdlvc/report.iupdate.io | 0ab451850c34af40b86eb517e39124e5b894b44b | [
"BSD-3-Clause"
] | null | null | null | src/sentry/conf/server.py | ccdlvc/report.iupdate.io | 0ab451850c34af40b86eb517e39124e5b894b44b | [
"BSD-3-Clause"
] | 5 | 2019-12-28T18:13:59.000Z | 2022-03-02T04:32:45.000Z | src/sentry/conf/server.py | ccdlvc/report.iupdate.io | 0ab451850c34af40b86eb517e39124e5b894b44b | [
"BSD-3-Clause"
] | null | null | null | """
sentry.conf.server
~~~~~~~~~~~~~~~~~~
These settings act as the default (base) settings for the Sentry-provided web-server
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
from django.conf.global_se... | 31.362466 | 192 | 0.674489 |
4a19ea547a219cdbf3ffa147ad934318a8992aa2 | 19,487 | py | Python | seisflows3/optimize/base.py | bch0w/seisflows3 | 5158020d4efc06dae65dc472b59f1f958609348a | [
"BSD-2-Clause"
] | null | null | null | seisflows3/optimize/base.py | bch0w/seisflows3 | 5158020d4efc06dae65dc472b59f1f958609348a | [
"BSD-2-Clause"
] | null | null | null | seisflows3/optimize/base.py | bch0w/seisflows3 | 5158020d4efc06dae65dc472b59f1f958609348a | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
The Optimization library contains classes and methods used to solve nonlinear
optimization problems, i.e., misfit minimization. Various subclasses implement
different optimization algorithms.
.. note::
By default the base class implements a steepest descent optimization
"""
import os
imp... | 37.838835 | 80 | 0.613486 |
4a19ec8b846b6602bd7ebfef1903e91c45820b59 | 684 | py | Python | toys/gaussians/roofit_example.py | zfit/benchmarks | 9d76ecce9514438113ebb7a8e487f225e905c0a8 | [
"BSD-3-Clause"
] | null | null | null | toys/gaussians/roofit_example.py | zfit/benchmarks | 9d76ecce9514438113ebb7a8e487f225e905c0a8 | [
"BSD-3-Clause"
] | null | null | null | toys/gaussians/roofit_example.py | zfit/benchmarks | 9d76ecce9514438113ebb7a8e487f225e905c0a8 | [
"BSD-3-Clause"
] | null | null | null | from ROOT import RooRealVar, RooGaussian, RooChebychev, RooAddPdf, RooArgList, RooArgSet, RooFit
x = RooRealVar("x","x",-1,1)
# Use RooGaussian in the generation
mean = RooRealVar("mean","mean of gaussian",0,-1,1)
sigma = RooRealVar("sigma","sigma of gaussian",0.1,-1,1)
sig = RooGaussian("gauss","gaussian PDF",x,mea... | 32.571429 | 96 | 0.701754 |
4a19ec9614eb58502c07ed1039d07389b2feccaa | 5,434 | py | Python | api/views.py | oangervuori/namubufferi | b9353b1d1a32e18e93cb1e9bd2b591950d54269a | [
"MIT"
] | 2 | 2016-12-05T03:31:47.000Z | 2017-02-13T20:10:39.000Z | api/views.py | oangervuori/namubufferi | b9353b1d1a32e18e93cb1e9bd2b591950d54269a | [
"MIT"
] | 1 | 2016-12-14T10:53:15.000Z | 2016-12-17T18:52:25.000Z | api/views.py | oangervuori/namubufferi | b9353b1d1a32e18e93cb1e9bd2b591950d54269a | [
"MIT"
] | 1 | 2017-01-14T10:56:28.000Z | 2017-01-14T10:56:28.000Z | from distutils.util import strtobool
from django.contrib.auth import get_user_model
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exceptions import PermissionDenied
from django.urls import reverse
from django.utils.decorators import method_decorator
from django.views.decorators.cache impor... | 28.15544 | 111 | 0.731321 |
4a19ed5feccf9119e2bd944e2e98a344f8a5cc8f | 7,314 | py | Python | aim/ext/notebook/notebook.py | SGevorg/aim-deploy | 45bc4321a2d0a4d1016f3ea7ee721f982225bd44 | [
"Apache-2.0"
] | null | null | null | aim/ext/notebook/notebook.py | SGevorg/aim-deploy | 45bc4321a2d0a4d1016f3ea7ee721f982225bd44 | [
"Apache-2.0"
] | null | null | null | aim/ext/notebook/notebook.py | SGevorg/aim-deploy | 45bc4321a2d0a4d1016f3ea7ee721f982225bd44 | [
"Apache-2.0"
] | null | null | null | import shlex
from aim.cli.configs import VERSION_NAME, UP_NAME
import aim.cli.manager.manager as manager
# Error message prefix for aim commands
ERROR_MSG_PREFIX = b'Error:'
# returned by get_execution_context
_COLAB_EXEC_CONTEXT = "_COLAB_EXEC_CONTEXT"
_IPYTHON_EXEC_CONTEXT = "_IPYTHON_EXEC_CONTEXT"
_OTHER_EXEC_CON... | 32.651786 | 112 | 0.654908 |
4a19ed92547c6b8f2272fae6749819cf8366e20a | 2,834 | py | Python | baselines/test.py | vykimo/twitter_best_date | 557c3a1e084633760ceda11ae340a3d2871d7926 | [
"Apache-2.0"
] | 1 | 2019-08-22T03:45:47.000Z | 2019-08-22T03:45:47.000Z | baselines/test.py | vykimo/twitter_best_date | 557c3a1e084633760ceda11ae340a3d2871d7926 | [
"Apache-2.0"
] | null | null | null | baselines/test.py | vykimo/twitter_best_date | 557c3a1e084633760ceda11ae340a3d2871d7926 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
import argparse
from sklearn.metrics import mean_squared_error
from baselines import Baselines
import numpy as np
def parse_arguments():
parser = argparse.ArgumentParser(description='Test baselines (MSE).')
parser.add_argument('-f, --file', dest='file', type=open, help='... | 47.233333 | 352 | 0.670783 |
4a19f10b6527ad480f95975efed177238363b8df | 3,490 | py | Python | indico/core/oauth/util.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | null | null | null | indico/core/oauth/util.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | null | null | null | indico/core/oauth/util.py | javfg/indico | 2634756ba1e9caf6dd8fc9afc3f47291fda5816d | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2021 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
import hashlib
from uuid import UUID
from authlib.oauth2.rfc6749 import list_to_scope, scope_to_list
from... | 39.213483 | 108 | 0.726648 |
4a19f18aa4f11320f26dadcb7e55da9bbab7576a | 839 | py | Python | workflows/diagnostics/tests/prognostic/test_generate_movie_stills.py | jacnugent/fv3net | 84958651bdd17784fdab98f87ad0d65414c03368 | [
"MIT"
] | 5 | 2021-03-20T22:42:40.000Z | 2021-06-30T18:39:36.000Z | workflows/diagnostics/tests/prognostic/test_generate_movie_stills.py | jacnugent/fv3net | 84958651bdd17784fdab98f87ad0d65414c03368 | [
"MIT"
] | 154 | 2021-03-17T19:44:29.000Z | 2021-09-15T23:02:12.000Z | workflows/diagnostics/tests/prognostic/test_generate_movie_stills.py | jacnugent/fv3net | 84958651bdd17784fdab98f87ad0d65414c03368 | [
"MIT"
] | 1 | 2021-06-16T22:04:24.000Z | 2021-06-16T22:04:24.000Z | import numpy as np
import xarray as xr
from fv3net.diagnostics.prognostic_run.views.movies import _movie_specs, _non_zero
def test__movie_specs():
movie_specs = _movie_specs()
for name, spec in movie_specs.items():
func = spec["plotting_function"]
variables = spec["required_variables"]
... | 36.478261 | 82 | 0.671037 |
4a19f18bf53434cf3c1ce8923b78a031c7f1d898 | 4,818 | py | Python | build/lib/detect_secrets/core/potential_secret.py | nsonaniya2010/detect-secrets | f599e94128add8995280a373566e9b0974724b36 | [
"Apache-2.0"
] | 1 | 2021-03-15T15:12:42.000Z | 2021-03-15T15:12:42.000Z | build/lib/detect_secrets/core/potential_secret.py | nsonaniya2010/detect-secrets | f599e94128add8995280a373566e9b0974724b36 | [
"Apache-2.0"
] | null | null | null | build/lib/detect_secrets/core/potential_secret.py | nsonaniya2010/detect-secrets | f599e94128add8995280a373566e9b0974724b36 | [
"Apache-2.0"
] | null | null | null | import hashlib
from typing import Any
from typing import Dict
from typing import Optional
from typing import Union
from ..util.color import AnsiColor
from ..util.color import colorize
class PotentialSecret:
"""This custom data type represents a string found, matching the
plugin rules defined in SecretsCollec... | 34.661871 | 99 | 0.611249 |
4a19f228ce6a39b9091b5bd219f2685522cfd3fc | 4,013 | py | Python | ghostvlad/toolkits.py | lylyhan/Speaker-Diarization | 8d4cd899c352c18f85c173315b2eaecd1dcb6cc6 | [
"Apache-2.0"
] | null | null | null | ghostvlad/toolkits.py | lylyhan/Speaker-Diarization | 8d4cd899c352c18f85c173315b2eaecd1dcb6cc6 | [
"Apache-2.0"
] | null | null | null | ghostvlad/toolkits.py | lylyhan/Speaker-Diarization | 8d4cd899c352c18f85c173315b2eaecd1dcb6cc6 | [
"Apache-2.0"
] | 1 | 2022-01-20T12:56:45.000Z | 2022-01-20T12:56:45.000Z | import os
import numpy as np
def initialize_GPU(args):
# Initialize GPUs
import tensorflow as tf
os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu
config = tf.compat.v1.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.compat.v1.Session(config=config)
return session
def get_chu... | 31.108527 | 105 | 0.634936 |
4a19f2439be9a45a54e9cab1b50298271edfab60 | 6,057 | py | Python | pkg/utils/annotation/annotation.py | ispeakc0de/litmus-python | 9e3e49002f25598cecd7828aad604b14a6d5ad40 | [
"Apache-2.0"
] | null | null | null | pkg/utils/annotation/annotation.py | ispeakc0de/litmus-python | 9e3e49002f25598cecd7828aad604b14a6d5ad40 | [
"Apache-2.0"
] | null | null | null | pkg/utils/annotation/annotation.py | ispeakc0de/litmus-python | 9e3e49002f25598cecd7828aad604b14a6d5ad40 | [
"Apache-2.0"
] | null | null | null |
import logging
# getDeploymentName derive the deployment name belongs to the given target pod
# it extract the parent name from the owner references
def getDeploymentName(targetPod,chaosDetails, clients):
rsOwnerRef = targetPod.metadata.owner_references
for own in rsOwnerRef :
if own.kind == "ReplicaSet" :
try... | 40.925676 | 174 | 0.768697 |
4a19f2f37f5f3faee70274b14593e80475d15b02 | 2,481 | py | Python | portfolio/migrations/0015_auto_20170519_1722.py | Arlefreak/api.afk | 7e968f6dc3b593ad8f20a4962cb7e3c91bf3ab79 | [
"MIT"
] | null | null | null | portfolio/migrations/0015_auto_20170519_1722.py | Arlefreak/api.afk | 7e968f6dc3b593ad8f20a4962cb7e3c91bf3ab79 | [
"MIT"
] | 5 | 2016-01-21T20:21:42.000Z | 2016-01-22T23:00:33.000Z | portfolio/migrations/0015_auto_20170519_1722.py | Arlefreak/ApiArlefreak | 7e968f6dc3b593ad8f20a4962cb7e3c91bf3ab79 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2017-05-19 17:22
from __future__ import unicode_literals
import adminsortable.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('portfolio', '0014_auto_20170102_... | 36.485294 | 135 | 0.620717 |
4a19f32d4360d9b3045304f35302bf7d5890da0b | 8,312 | py | Python | server/tests/comparison/leopard/impala_docker_env.py | drankye/recordservice | ced33a1565b7ab3a25f6cb7cdcf623a26e7b3ec0 | [
"Apache-2.0"
] | null | null | null | server/tests/comparison/leopard/impala_docker_env.py | drankye/recordservice | ced33a1565b7ab3a25f6cb7cdcf623a26e7b3ec0 | [
"Apache-2.0"
] | null | null | null | server/tests/comparison/leopard/impala_docker_env.py | drankye/recordservice | ced33a1565b7ab3a25f6cb7cdcf623a26e7b3ec0 | [
"Apache-2.0"
] | 2 | 2019-09-22T07:59:28.000Z | 2021-02-25T21:56:07.000Z | # Copyright (c) 2015 Cloudera, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 39.393365 | 90 | 0.659408 |
4a19f4be3ffae27c69158bf574ac28d7c347091c | 26,515 | py | Python | Data_Clean_Functions.py | Cian-Byrne/ML_Yacht_Performance | 97444b768a5d4335de49ab21890b13412802548e | [
"MIT"
] | null | null | null | Data_Clean_Functions.py | Cian-Byrne/ML_Yacht_Performance | 97444b768a5d4335de49ab21890b13412802548e | [
"MIT"
] | null | null | null | Data_Clean_Functions.py | Cian-Byrne/ML_Yacht_Performance | 97444b768a5d4335de49ab21890b13412802548e | [
"MIT"
] | null | null | null | """
Funtions to extract relevant data from a dataframe.
"""
import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
from scipy import signal
import xlrd as xl
from sklearn.preprocessing import MinMaxScaler, StandardScaler, RobustScaler
from datetime import datetime
from sklearn.metrics impor... | 33.185232 | 149 | 0.524948 |
4a19f4ee5563fb4eb092ca0a934ebba752c3ac6e | 9,318 | py | Python | aruco.py | PavelNajman/ArUcoDetection | e3873ae4ea4fe6e4e62209ae12c75c72848509b7 | [
"MIT"
] | null | null | null | aruco.py | PavelNajman/ArUcoDetection | e3873ae4ea4fe6e4e62209ae12c75c72848509b7 | [
"MIT"
] | null | null | null | aruco.py | PavelNajman/ArUcoDetection | e3873ae4ea4fe6e4e62209ae12c75c72848509b7 | [
"MIT"
] | null | null | null | import io
import os
import cv2
import sys
import time
import pickle
import argparse
import picamera
import threading
import numpy as np
ARUCO_DICT = {
"DICT_4X4_50": cv2.aruco.DICT_4X4_50,
"DICT_4X4_100": cv2.aruco.DICT_4X4_100,
"DICT_4X4_250": cv2.aruco.DICT_4X4_250,
"DICT_4X4_1000": cv2.aruco.DICT_4X... | 40.337662 | 163 | 0.577914 |
4a19f5631639c62d7790c0df4f4b1afda265acf1 | 193 | py | Python | ding/framework/__init__.py | song2181/DI-engine | 0a39b43f6ad9ef9862878de12b50184f4396be42 | [
"Apache-2.0"
] | 1 | 2022-03-21T16:15:39.000Z | 2022-03-21T16:15:39.000Z | ding/framework/__init__.py | jiaruonan/DI-engine | 268d77db3cb54401b2cfc83e2bc3ec87c31e7b83 | [
"Apache-2.0"
] | null | null | null | ding/framework/__init__.py | jiaruonan/DI-engine | 268d77db3cb54401b2cfc83e2bc3ec87c31e7b83 | [
"Apache-2.0"
] | null | null | null | from .context import Context, OnlineRLContext, OfflineRLContext
from .task import Task, task
from .parallel import Parallel
from .event_loop import EventLoop
from .supervisor import Supervisor
| 32.166667 | 63 | 0.839378 |
4a19f629ab402f921e1f117354399920adf70711 | 2,243 | py | Python | python3/koans/about_control_statements.py | BriTFromIT/python_koans | c9269148a55821dbb1541fdd57df8c7a971ee715 | [
"MIT"
] | null | null | null | python3/koans/about_control_statements.py | BriTFromIT/python_koans | c9269148a55821dbb1541fdd57df8c7a971ee715 | [
"MIT"
] | null | null | null | python3/koans/about_control_statements.py | BriTFromIT/python_koans | c9269148a55821dbb1541fdd57df8c7a971ee715 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutControlStatements(Koan):
def test_if_then_else_statements(self):
if True:
result = 'true value'
else:
result = 'false value'
self.assertEqual('true value', result)
def test_if_t... | 27.691358 | 84 | 0.525189 |
4a19f640605b548c5145313529b469e9eb099fda | 39 | py | Python | src/clusto/test/util/__init__.py | thekad/clusto | c141ea3ef4931c6a21fdf42845c6e9de5ee08caa | [
"BSD-3-Clause"
] | 216 | 2015-01-10T17:03:25.000Z | 2022-03-24T07:23:41.000Z | src/clusto/test/util/__init__.py | thekad/clusto | c141ea3ef4931c6a21fdf42845c6e9de5ee08caa | [
"BSD-3-Clause"
] | 23 | 2015-01-08T16:51:22.000Z | 2021-03-13T12:56:04.000Z | src/clusto/test/util/__init__.py | thekad/clusto | c141ea3ef4931c6a21fdf42845c6e9de5ee08caa | [
"BSD-3-Clause"
] | 49 | 2015-01-08T00:13:17.000Z | 2021-09-22T02:01:20.000Z | from utiltests import TestUtil # noqa
| 19.5 | 38 | 0.794872 |
4a19f64514f39fad1c1fb2d6df373960fad811e0 | 4,881 | py | Python | notebooks/dash-app/utils.py | piushvaish/instagram-growth-strategy | c0740094de376e4c2651c95a1182d408f24a941d | [
"Apache-2.0"
] | null | null | null | notebooks/dash-app/utils.py | piushvaish/instagram-growth-strategy | c0740094de376e4c2651c95a1182d408f24a941d | [
"Apache-2.0"
] | null | null | null | notebooks/dash-app/utils.py | piushvaish/instagram-growth-strategy | c0740094de376e4c2651c95a1182d408f24a941d | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import plotly
import plotly.graph_objs as go
import pickle
from sklearn.metrics import roc_auc_score
from tabs.tab_3 import choices
import json
def display_eval_metrics(value):
### Comparison of Possible Models
if value==choices[0]:
compare_models=pd.read_csv('resources/compare_mod... | 32.758389 | 104 | 0.541487 |
4a19f68cec4c682338b36348de47dfdbba452920 | 1,543 | py | Python | 2048/cli.py | S8A/2048 | f0ed44e717369c1e3b89e989075d0d15b7928dc3 | [
"MIT"
] | null | null | null | 2048/cli.py | S8A/2048 | f0ed44e717369c1e3b89e989075d0d15b7928dc3 | [
"MIT"
] | null | null | null | 2048/cli.py | S8A/2048 | f0ed44e717369c1e3b89e989075d0d15b7928dc3 | [
"MIT"
] | null | null | null | import sys
from .board import GameBoard
def main(size, win):
game = GameBoard(size, win)
actions = {'l': game.shift_left,
'r': game.shift_right,
'u': game.shift_up,
'd': game.shift_down,
'undo': game.undo,
'exit': None}
stop = Fals... | 27.070175 | 78 | 0.485418 |
4a19f696db32a9ee0b94900ad3ce8aa92ab383fb | 96 | py | Python | knightian_model/__init__.py | QBatista/KnightianInnovationModel.py | c61fd98c0a8aa6eb2af913f2a7601f734d611076 | [
"BSD-3-Clause"
] | null | null | null | knightian_model/__init__.py | QBatista/KnightianInnovationModel.py | c61fd98c0a8aa6eb2af913f2a7601f734d611076 | [
"BSD-3-Clause"
] | null | null | null | knightian_model/__init__.py | QBatista/KnightianInnovationModel.py | c61fd98c0a8aa6eb2af913f2a7601f734d611076 | [
"BSD-3-Clause"
] | 2 | 2019-11-30T05:35:05.000Z | 2019-12-27T19:50:24.000Z | """
Import the main name to the top level.
"""
from . import discrete
from . import utilities
| 12 | 38 | 0.697917 |
4a19f6b24572ff3615383a52badc892b3bbba67f | 862 | py | Python | SilverEngine/SilverEngine/urls.py | sebroad/silver-engine | 21fbb774a1ab0e4afc8f87dfea3ffd5dc8afd96d | [
"MIT"
] | null | null | null | SilverEngine/SilverEngine/urls.py | sebroad/silver-engine | 21fbb774a1ab0e4afc8f87dfea3ffd5dc8afd96d | [
"MIT"
] | null | null | null | SilverEngine/SilverEngine/urls.py | sebroad/silver-engine | 21fbb774a1ab0e4afc8f87dfea3ffd5dc8afd96d | [
"MIT"
] | null | null | null | """SilverEngine URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Cla... | 35.916667 | 79 | 0.708817 |
4a19f954910b3c8d2f6bc7c09e06914d29f37c2e | 3,712 | py | Python | floodsystem/datafetcher.py | LimaBravoVictor/Part1A-_Flood_Warning_System | 7d6936856cc24d4d02c5e84422914be1b49e5470 | [
"MIT"
] | null | null | null | floodsystem/datafetcher.py | LimaBravoVictor/Part1A-_Flood_Warning_System | 7d6936856cc24d4d02c5e84422914be1b49e5470 | [
"MIT"
] | 2 | 2022-01-24T00:02:43.000Z | 2022-01-24T14:19:51.000Z | floodsystem/datafetcher.py | LimaBravoVictor/Part1A-_Flood_Warning_System | 7d6936856cc24d4d02c5e84422914be1b49e5470 | [
"MIT"
] | null | null | null | # Copyright (C) 2018 Garth N. Wells
#
# SPDX-License-Identifier: MIT
"""This module provides functionality for retrieving real-time and
latest time history level data
"""
import datetime
import json
import os
import dateutil.parser
import requests
def fetch(url):
"""Fetch data from url and return fetched JSON ... | 26.326241 | 136 | 0.646552 |
4a19fa83c5d4b217c38e8405bc2db320fd0524a7 | 12,216 | py | Python | main.py | Ritik721/Lung_Cancer_detection-using-CNN- | 8277a87c86d92b649ffe4987fc12e1e8df19f60f | [
"Unlicense"
] | null | null | null | main.py | Ritik721/Lung_Cancer_detection-using-CNN- | 8277a87c86d92b649ffe4987fc12e1e8df19f60f | [
"Unlicense"
] | null | null | null | main.py | Ritik721/Lung_Cancer_detection-using-CNN- | 8277a87c86d92b649ffe4987fc12e1e8df19f60f | [
"Unlicense"
] | null | null | null | # Handling data
import dicom # for reading dicom files
import os # for doing directory operations
import pandas as pd # for some simple data analysis (right now, just to load in the labels data and quickly reference it)
# Change this to wherever you are storing your data:
data_dir = '../input/scan_data/'
p... | 34.411268 | 129 | 0.613703 |
4a19faa46859274e6b9a0d75524aa24fdcebf20c | 4,005 | py | Python | src/kvt/models/necks/softpool.py | Ynakatsuka/nishika-22 | 72994cab16486b3a26686642ad72a29b6761b46d | [
"BSD-2-Clause"
] | 4 | 2022-02-01T05:04:53.000Z | 2022-02-02T04:16:31.000Z | src/kvt/models/necks/softpool.py | Ynakatsuka/nishika-22 | 72994cab16486b3a26686642ad72a29b6761b46d | [
"BSD-2-Clause"
] | null | null | null | src/kvt/models/necks/softpool.py | Ynakatsuka/nishika-22 | 72994cab16486b3a26686642ad72a29b6761b46d | [
"BSD-2-Clause"
] | null | null | null | """
https://github.com/wangyida/softpool/blob/master/pytorch/softpool.py
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
# Produce a set of pointnet features in several sorted cloud
def train2cabins(windows, num_cabin=8):
size_bth = list(windows.shape)[0]
size_feat = li... | 32.560976 | 77 | 0.573533 |
4a19fadbc54d394e7d0ed47eedbd6258408d1063 | 3,015 | py | Python | jsonit/tests.py | crrobinson14/django-jsonit | 3c4b10c844b4e45759bac28a5a6dd201f60c6c1d | [
"BSD-3-Clause"
] | 3 | 2015-01-22T19:02:55.000Z | 2015-11-08T16:10:08.000Z | jsonit/tests.py | crrobinson14/django-jsonit | 3c4b10c844b4e45759bac28a5a6dd201f60c6c1d | [
"BSD-3-Clause"
] | 1 | 2015-06-06T11:49:32.000Z | 2015-06-06T11:49:32.000Z | jsonit/tests.py | crrobinson14/django-jsonit | 3c4b10c844b4e45759bac28a5a6dd201f60c6c1d | [
"BSD-3-Clause"
] | 1 | 2020-05-12T16:41:54.000Z | 2020-05-12T16:41:54.000Z | import datetime
import json
from unittest import TestCase
from django.contrib import messages
from django.contrib.messages.constants import DEFAULT_TAGS
from django.contrib.messages.storage import base as messages_base
from django.contrib.messages.storage.session import SessionStorage
from django.http import HttpReque... | 31.40625 | 75 | 0.619569 |
4a19fc245c45fec1259814cbd900e85faeb2ea10 | 9,978 | py | Python | code/base/batch.py | KirillDogadin-std/Lab-Semantic | d04e592cd540dd5dcd537cd7df7ee6619af3d67f | [
"MIT"
] | null | null | null | code/base/batch.py | KirillDogadin-std/Lab-Semantic | d04e592cd540dd5dcd537cd7df7ee6619af3d67f | [
"MIT"
] | 11 | 2020-11-30T14:28:20.000Z | 2021-01-13T19:55:44.000Z | code/base/batch.py | KirillDogadin-std/Lab-Semantic | d04e592cd540dd5dcd537cd7df7ee6619af3d67f | [
"MIT"
] | 1 | 2021-03-23T07:22:03.000Z | 2021-03-23T07:22:03.000Z | import gc
import random
import numpy as np
import multiprocessing
from utils import task_divide, merge_dic
def generate_pos_batch_queue(triple_list1, triple_list2, batch_size, steps, out_queue):
for step in steps:
out_queue.put(generate_pos_batch(triple_list1, triple_list2, batch_size, step))
exit(0)... | 46.84507 | 118 | 0.635799 |
4a19fc384cc0b741f7a5d38bd18fc7fee69c9747 | 10,866 | py | Python | uvicorn/protocols/websockets/websockets_impl.py | mkiesel/uvicorn | efdbe7a4a6c94f34c35d751fb63391136b4e90e4 | [
"BSD-3-Clause"
] | 1 | 2022-02-09T19:14:57.000Z | 2022-02-09T19:14:57.000Z | uvicorn/protocols/websockets/websockets_impl.py | mkiesel/uvicorn | efdbe7a4a6c94f34c35d751fb63391136b4e90e4 | [
"BSD-3-Clause"
] | null | null | null | uvicorn/protocols/websockets/websockets_impl.py | mkiesel/uvicorn | efdbe7a4a6c94f34c35d751fb63391136b4e90e4 | [
"BSD-3-Clause"
] | null | null | null | import asyncio
import http
import logging
from typing import Callable
from urllib.parse import unquote
import websockets
from websockets.extensions.permessage_deflate import ServerPerMessageDeflateFactory
from uvicorn.logging import TRACE_LOG_LEVEL
from uvicorn.protocols.utils import get_local_addr, get_remote_addr, ... | 35.743421 | 86 | 0.583655 |
4a19fcdab3c833dedbf14b6a37a96dbeaad0ad52 | 3,462 | py | Python | test_broker.py | Rspangler89/Kwic-Trader | f47ebcd392e9b6cff2db2522508e00e84640a492 | [
"MIT"
] | 1 | 2021-07-15T23:03:37.000Z | 2021-07-15T23:03:37.000Z | test_broker.py | Rspangler89/Kwic-Trader | f47ebcd392e9b6cff2db2522508e00e84640a492 | [
"MIT"
] | null | null | null | test_broker.py | Rspangler89/Kwic-Trader | f47ebcd392e9b6cff2db2522508e00e84640a492 | [
"MIT"
] | 1 | 2021-11-16T15:14:29.000Z | 2021-11-16T15:14:29.000Z | """
Kwic Trader trading system
Created by:
Robert (Alex) Spangler
Plant City, FL, USA
Spring of 2021
"""
"""
TODO: write more unit tests if neccessary
"""
"""
Tests for the portfolioDayChange() method
To set up pytest in pycharm follow the directions below:
1.) Go to File>Settings.
2.) Click on the dropdown menu ... | 27.259843 | 110 | 0.73628 |
4a19fd2b2985d4d9656278c2e7d1ba36e8276eed | 9,621 | py | Python | train_crf.py | bubblemans/Gun-Violence-Information-Retrieval-Using-BERT-as-Sequence-Tagging-Task | a8a199760c531286ae79fd9de541387a6c9fd5a7 | [
"MIT"
] | null | null | null | train_crf.py | bubblemans/Gun-Violence-Information-Retrieval-Using-BERT-as-Sequence-Tagging-Task | a8a199760c531286ae79fd9de541387a6c9fd5a7 | [
"MIT"
] | null | null | null | train_crf.py | bubblemans/Gun-Violence-Information-Retrieval-Using-BERT-as-Sequence-Tagging-Task | a8a199760c531286ae79fd9de541387a6c9fd5a7 | [
"MIT"
] | null | null | null | import argparse
import math
import logging
import pandas as pd
import tqdm
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from models import BERT_CRF_Linear, BERT_CRF_LSTM, BERT_CRF_BiLSTM
from dataset import GunViolenceDataset
from utils import *
logging.basicConfig(format='%(asctime)s... | 35.899254 | 150 | 0.566989 |
4a19fe1ff06dcc6437a03413d480b7f6b1fab9f9 | 3,576 | py | Python | gary/potential/tests/test_composite.py | adrn/gary-old | 065b371534baa03deeb860893640068d90ba5881 | [
"MIT"
] | null | null | null | gary/potential/tests/test_composite.py | adrn/gary-old | 065b371534baa03deeb860893640068d90ba5881 | [
"MIT"
] | null | null | null | gary/potential/tests/test_composite.py | adrn/gary-old | 065b371534baa03deeb860893640068d90ba5881 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import, unicode_literals, division, print_function
__author__ = "adrn <adrn@astro.columbia.edu>"
# Third party
import astropy.units as u
import pytest
import numpy as np
# This project
from ...integrate import LeapfrogIntegrator, DOPRI853Integrator
from ..core import ... | 34.057143 | 93 | 0.622483 |
4a19fe9052a7d8d355965b1e7654a665ae5d2036 | 18,757 | py | Python | django/db/models/fields/files.py | fizista/django | 16f3a6a4c7bab11644d11c2be029374e5095cb56 | [
"BSD-3-Clause"
] | 1 | 2019-02-10T19:33:27.000Z | 2019-02-10T19:33:27.000Z | django/db/models/fields/files.py | fizista/django | 16f3a6a4c7bab11644d11c2be029374e5095cb56 | [
"BSD-3-Clause"
] | null | null | null | django/db/models/fields/files.py | fizista/django | 16f3a6a4c7bab11644d11c2be029374e5095cb56 | [
"BSD-3-Clause"
] | null | null | null | import datetime
import os
from django import forms
from django.db.models.fields import Field
from django.core import checks
from django.core.exceptions import ImproperlyConfigured
from django.core.files.base import File
from django.core.files.storage import default_storage
from django.core.files.images import ImageFil... | 38.914938 | 104 | 0.643493 |
4a19fea2096b17cceccb873570ccb19193a37568 | 57 | py | Python | quickstats/forms.py | kfdm/django-simplestats | f3aa26329af56cbb910d86d450ea129a54b271ef | [
"MIT"
] | 1 | 2019-06-07T04:55:55.000Z | 2019-06-07T04:55:55.000Z | quickstats/forms.py | kfdm/django-simplestats | f3aa26329af56cbb910d86d450ea129a54b271ef | [
"MIT"
] | 31 | 2016-02-02T22:19:09.000Z | 2018-05-08T09:52:54.000Z | quickstats/forms.py | kfdm/django-simplestats | f3aa26329af56cbb910d86d450ea129a54b271ef | [
"MIT"
] | null | null | null | from . import models
from django.forms import ModelForm
| 14.25 | 34 | 0.807018 |
4a19ffa0c992068c6b460091a13358f1b83e072a | 47,339 | py | Python | tests/plugins_test.py | jshwi/pyaud | c3268e56b483661fb8baa6da8c4c96420f0f74b3 | [
"MIT"
] | 2 | 2021-02-03T01:18:17.000Z | 2021-06-28T07:24:29.000Z | tests/plugins_test.py | jshwi/pyaud | c3268e56b483661fb8baa6da8c4c96420f0f74b3 | [
"MIT"
] | 31 | 2021-11-11T15:27:14.000Z | 2022-03-18T14:44:51.000Z | tests/plugins_test.py | jshwi/pyaud | c3268e56b483661fb8baa6da8c4c96420f0f74b3 | [
"MIT"
] | null | null | null | """
tests.plugins_test
==================
"""
# pylint: disable=too-many-lines,too-many-arguments,cell-var-from-loop
# pylint: disable=too-few-public-methods,unused-variable
import datetime
import os
import random
from pathlib import Path
from typing import Any, List, Tuple
import pytest
import pyaud
import pyaud_plu... | 34.081353 | 79 | 0.612286 |
4a19ffab6b4ba2c749beaee3b9fa91f83ca6c0ab | 4,062 | py | Python | webapp/graphite/events/views.py | romanek-adam/graphite-web | f6d7d16551a6953a5d0a1c19978efbf93fd3f869 | [
"Apache-2.0"
] | 4,281 | 2015-01-01T12:35:03.000Z | 2022-03-31T20:06:59.000Z | webapp/graphite/events/views.py | romanek-adam/graphite-web | f6d7d16551a6953a5d0a1c19978efbf93fd3f869 | [
"Apache-2.0"
] | 1,809 | 2015-01-01T21:16:36.000Z | 2022-03-31T21:25:13.000Z | webapp/graphite/events/views.py | romanek-adam/graphite-web | f6d7d16551a6953a5d0a1c19978efbf93fd3f869 | [
"Apache-2.0"
] | 970 | 2015-01-02T19:49:21.000Z | 2022-03-27T09:48:44.000Z | import datetime
import six
try:
from django.contrib.sites.requests import RequestSite
except ImportError: # Django < 1.9
from django.contrib.sites.models import RequestSite
from django.core.exceptions import ObjectDoesNotExist
from django.core.serializers.json import DjangoJSONEncoder
from django.forms.model... | 30.772727 | 95 | 0.630478 |
4a19ffbd4d153f88e549d717fa71cd8634a3e289 | 196,708 | py | Python | scipy/stats/tests/test_distributions.py | alazarchuk/scipy | 7124fc982ea9b0ea961c65db550c0703abcb9bfd | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/tests/test_distributions.py | alazarchuk/scipy | 7124fc982ea9b0ea961c65db550c0703abcb9bfd | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/tests/test_distributions.py | alazarchuk/scipy | 7124fc982ea9b0ea961c65db550c0703abcb9bfd | [
"BSD-3-Clause"
] | null | null | null | """
Test functions for stats module
"""
import warnings
import re
import sys
import pickle
import os
from numpy.testing import (assert_equal, assert_array_equal,
assert_almost_equal, assert_array_almost_equal,
assert_allclose, assert_, assert_warns,
... | 39.357343 | 79 | 0.570109 |
4a1a009e7eb7d13e012fabdb2c91ed36ee9439a4 | 1,896 | py | Python | Assignment 1/grid_search_opencl.py | Panyw97/LargeScaleComputing_S20 | b3da9750d48fe1917f62f99dbbecd31766e89d1a | [
"MIT"
] | null | null | null | Assignment 1/grid_search_opencl.py | Panyw97/LargeScaleComputing_S20 | b3da9750d48fe1917f62f99dbbecd31766e89d1a | [
"MIT"
] | null | null | null | Assignment 1/grid_search_opencl.py | Panyw97/LargeScaleComputing_S20 | b3da9750d48fe1917f62f99dbbecd31766e89d1a | [
"MIT"
] | null | null | null | import numpy as np
import pyopencl as cl
import time
import pyopencl.clrandom as clrand
import pyopencl.array as cl_array
def grid_search(n_runs):
# Set up OpenCL context and command queue
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
t0 = time.time()
T = int(4160) #... | 30.580645 | 111 | 0.547996 |
4a1a010b41acc48d6f633fc193f8bb93526ef561 | 1,117 | py | Python | dongtai/models/project_report.py | Maskhe/dongtai-core | 1521e1377e997b262a7fe678d64e49fd5065110c | [
"Apache-2.0"
] | 5 | 2021-09-06T09:30:38.000Z | 2022-03-22T02:11:49.000Z | dongtai/models/project_report.py | Maskhe/dongtai-core | 1521e1377e997b262a7fe678d64e49fd5065110c | [
"Apache-2.0"
] | 4 | 2021-11-29T08:35:27.000Z | 2021-12-18T06:08:31.000Z | dongtai/models/project_report.py | Maskhe/dongtai-core | 1521e1377e997b262a7fe678d64e49fd5065110c | [
"Apache-2.0"
] | 13 | 2021-09-01T07:24:29.000Z | 2022-03-18T08:12:50.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:luzhongyang
# datetime:2021/10/29 下午5:29
# software: PyCharm
# project: dongtai-models
from django.db import models
from django.utils.translation import gettext_lazy as _
from dongtai.models import User
from dongtai.models.project import IastProject
from dongtai.mo... | 37.233333 | 86 | 0.749329 |
4a1a011aef0e7aa99d8a01a6688c7c20fa7b2ae9 | 5,400 | py | Python | hashkernel/files/ignore_file.py | hashstore/hashkernel | 4a0116b1872047626e87c5c350ffd65e311e618f | [
"Apache-2.0"
] | null | null | null | hashkernel/files/ignore_file.py | hashstore/hashkernel | 4a0116b1872047626e87c5c350ffd65e311e618f | [
"Apache-2.0"
] | null | null | null | hashkernel/files/ignore_file.py | hashstore/hashkernel | 4a0116b1872047626e87c5c350ffd65e311e618f | [
"Apache-2.0"
] | null | null | null | import codecs
import fnmatch
import logging
import os
from collections import defaultdict
from functools import total_ordering
from pathlib import Path
from typing import List, Sequence, Union
from hashkernel import reraise_with_msg
from hashkernel.files import aio_read_text, ensure_path, read_text
log = logging.getL... | 27.135678 | 80 | 0.575926 |
4a1a02c90ee3cd5374fd3272e20d186ae785c618 | 1,844 | py | Python | setup.py | bjmarfito/autoRIFT | 1d54a2cca349a6f2386121a8f5466b5b0eb10e1f | [
"Apache-2.0"
] | 70 | 2021-08-29T17:32:12.000Z | 2022-03-13T02:09:31.000Z | setup.py | bjmarfito/autoRIFT | 1d54a2cca349a6f2386121a8f5466b5b0eb10e1f | [
"Apache-2.0"
] | 19 | 2021-10-04T18:53:03.000Z | 2022-03-29T07:20:46.000Z | setup.py | bjmarfito/autoRIFT | 1d54a2cca349a6f2386121a8f5466b5b0eb10e1f | [
"Apache-2.0"
] | 18 | 2019-09-07T13:13:06.000Z | 2021-08-07T07:46:41.000Z | #!/usr/bin/env python3
import numpy as np
import os
from distutils.core import setup
from distutils.extension import Extension
##Figure out opencv paths
try:
import cv2
except:
raise Exception('OpenCV does not appear to be installed. Install before proceeding ... ')
##Figure out paths for headers and libr... | 31.254237 | 122 | 0.623644 |
4a1a02dc8d855b2e33e30ea744cd92868d9a6ed3 | 1,525 | py | Python | plotly/validators/surface/contours/x/_project.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 12 | 2020-04-18T18:10:22.000Z | 2021-12-06T10:11:15.000Z | plotly/validators/surface/contours/x/_project.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 27 | 2020-04-28T21:23:12.000Z | 2021-06-25T15:36:38.000Z | plotly/validators/surface/contours/x/_project.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 6 | 2020-04-18T23:07:08.000Z | 2021-11-18T07:53:06.000Z | import _plotly_utils.basevalidators
class ProjectValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name='project',
parent_name='surface.contours.x',
**kwargs
):
super(ProjectValidator, self).__init__(
plotly_name=plotly_n... | 38.125 | 71 | 0.56459 |
4a1a0621db3aeafecac8827de08efb34cc3c9de3 | 2,246 | py | Python | src/reqompyler/reqompyler.py | zurutech/reqompyler | 433e92b1771bf049e0ce7d338def83250ed1acf3 | [
"Apache-2.0"
] | 4 | 2020-02-13T12:01:39.000Z | 2020-03-18T16:41:14.000Z | src/reqompyler/reqompyler.py | zurutech/reqompyler | 433e92b1771bf049e0ce7d338def83250ed1acf3 | [
"Apache-2.0"
] | 87 | 2020-02-20T11:19:38.000Z | 2021-07-13T00:47:27.000Z | src/reqompyler/reqompyler.py | zurutech/reqompyler | 433e92b1771bf049e0ce7d338def83250ed1acf3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2020 Zuru Tech HK Limited. 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
#
# Un... | 35.09375 | 97 | 0.640249 |
4a1a06278a6c2a2a0734b4041d818c4492d9f498 | 425 | py | Python | file_clean/file_process/gettop1000.py | majiashu/data-processing | 772dc341657c416cef7046473ed3030efa200e33 | [
"MIT"
] | 1 | 2020-07-31T15:13:02.000Z | 2020-07-31T15:13:02.000Z | file_clean/file_process/gettop1000.py | majiashu/data-processing | 772dc341657c416cef7046473ed3030efa200e33 | [
"MIT"
] | null | null | null | file_clean/file_process/gettop1000.py | majiashu/data-processing | 772dc341657c416cef7046473ed3030efa200e33 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
gettop1000.py
Created on 2018/9/13 16:28
@author: 马家树(majstx@163.com)
"""
import openpyxl
import time
import pandas as pd
start = time.time()
# wb = openpyxl.load_workbook('C:/Users/meridian/Desktop/九江市第一人民医院/九江市第一人民医院_原始.xlsx')
data = pd.read_excel('C:/Users/meridian/Desktop/九江市第一人民医院/... | 21.25 | 91 | 0.72 |
4a1a0664f6ef3849d44a336155fc094ca9f20431 | 5,540 | py | Python | RoboticsLanguage/Base/Tools/ErrorHandling.py | robotcaresystems/roboticslanguage | 3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed | [
"Apache-2.0"
] | 64 | 2018-05-15T14:36:44.000Z | 2022-03-09T05:00:31.000Z | RoboticsLanguage/Base/Tools/ErrorHandling.py | robotcaresystems/roboticslanguage | 3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed | [
"Apache-2.0"
] | 9 | 2018-04-17T21:12:27.000Z | 2019-11-08T20:53:32.000Z | RoboticsLanguage/Base/Tools/ErrorHandling.py | robotcaresystems/roboticslanguage | 3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed | [
"Apache-2.0"
] | 10 | 2018-03-27T12:09:12.000Z | 2021-02-16T08:07:26.000Z | #
# This is the Robotics Language compiler
#
# ErrorHandling.py: Implements Error Handling functions
#
# Created on: June 22, 2017
# Author: Gabriel A. D. Lopes
# Licence: Apache 2.0
# Copyright: 2014-2017 Robot Care Systems BV, The Hague, The Netherlands. All rights reserved.
#
# Licensed under t... | 32.023121 | 118 | 0.695668 |
4a1a067bf63d2e2ffe937c0201866ac723fc10d5 | 334 | py | Python | algorithms/1441. Build an Array With Stack Operations.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | 1 | 2020-12-02T13:54:30.000Z | 2020-12-02T13:54:30.000Z | algorithms/1441. Build an Array With Stack Operations.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | algorithms/1441. Build an Array With Stack Operations.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | class Solution:
def buildArray(self, target: List[int], n: int) -> List[str]:
j, ans = 0, []
for i in range(1, n+1):
if j >= len(target):
break
else:
if target[j] == i:
ans.append('Push')
j += 1
elif target[j] > i:
ans.extend(['Push', 'Pop'])
... | 23.857143 | 63 | 0.467066 |
4a1a086cf15b3615fd9c0a87ec54498096f104a5 | 789 | py | Python | attacks/multi_keys/same_n_huge_e.py | cyborgflashtime/RsaCtfTool | de39fe22d2fc3615a60373d1b9a5b4201ed0452c | [
"Beerware"
] | 2 | 2020-11-22T19:03:01.000Z | 2021-03-17T11:32:06.000Z | attacks/multi_keys/same_n_huge_e.py | OlcaytoKorcan/RsaCtfTool | 13c74d8a8707d76c0dc646b8760619ee8700f7ee | [
"Beerware"
] | null | null | null | attacks/multi_keys/same_n_huge_e.py | OlcaytoKorcan/RsaCtfTool | 13c74d8a8707d76c0dc646b8760619ee8700f7ee | [
"Beerware"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import tempfile
from Crypto.PublicKey import RSA
from lib.keys_wrapper import PublicKey
def attack(attack_rsa_obj, publickey, cipher=[]):
""" Same n huge e attack
"""
if not isinstance(publickey, list):
return (None, None)
if len(... | 29.222222 | 87 | 0.619772 |
4a1a08b8c8fcb7697bb412fec29020f1bb739dc7 | 909 | py | Python | examples/makecircles/make_circles_distmean.py | jaspreet321/kepler-mapper | a145a31665806713819fe08623275b04d973274a | [
"MIT"
] | null | null | null | examples/makecircles/make_circles_distmean.py | jaspreet321/kepler-mapper | a145a31665806713819fe08623275b04d973274a | [
"MIT"
] | null | null | null | examples/makecircles/make_circles_distmean.py | jaspreet321/kepler-mapper | a145a31665806713819fe08623275b04d973274a | [
"MIT"
] | null | null | null | import kmapper as km
# Make very noisy circles
import sklearn
from sklearn import datasets
data, labels = datasets.make_circles(n_samples=5000, noise=0.05, factor=0.3)
# Initialize
mapper = km.KeplerMapper(verbose=2)
# Fit to and transform the data
projected_data = mapper.fit_transform(data, projection="dist_mean")
... | 37.875 | 104 | 0.69637 |
4a1a095c9f74c4ac6d840b887babcacea7ced928 | 1,883 | py | Python | convolutional_attention/visualization/attfeature_viz.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 128 | 2016-05-10T01:38:27.000Z | 2022-02-04T07:14:12.000Z | convolutional_attention/visualization/attfeature_viz.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 6 | 2016-07-19T09:27:47.000Z | 2021-07-08T21:22:32.000Z | convolutional_attention/visualization/attfeature_viz.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 36 | 2016-05-11T08:57:26.000Z | 2021-07-07T02:37:07.000Z | import cPickle
import numpy as np
from scipy.spatial.distance import pdist, squareform
import sys
if __name__ == "__main__":
if len(sys.argv) !=2:
print "Usage <inputPkl>"
sys.exit(-1)
with open(sys.argv[1], 'rb') as f:
code_att_feats = cPickle.load(f)
# Construct matrix
feat_... | 38.428571 | 124 | 0.60223 |
4a1a0967b80365e27ba3f73a403b17358f266ca2 | 9,170 | py | Python | utils.py | abeja-inc/platform-template-image-segmentation | ce04da51931d7a50cf245a5d8ae8bb6dc3f65236 | [
"MIT"
] | null | null | null | utils.py | abeja-inc/platform-template-image-segmentation | ce04da51931d7a50cf245a5d8ae8bb6dc3f65236 | [
"MIT"
] | 14 | 2019-09-09T08:26:31.000Z | 2019-12-09T07:18:26.000Z | utils.py | abeja-inc/platform-template-image-segmentation | ce04da51931d7a50cf245a5d8ae8bb6dc3f65236 | [
"MIT"
] | null | null | null | from __future__ import print_function
from collections import defaultdict, deque
import datetime
import random
import time
import torch
import torch.distributed as dist
from PIL import Image
import numpy as np
import errno
import os
class SmoothedValue(object):
"""Track a series of values and provide access to s... | 29.018987 | 94 | 0.561396 |
4a1a0a785a58fed2e40b031de48c30f551554d7e | 6,073 | py | Python | tests/test_optimization.py | MarcelGM/transformers | aad1d9b6d5c58fd974618ac0aead1c5bd1119467 | [
"Apache-2.0"
] | 309 | 2020-02-07T23:09:27.000Z | 2022-03-31T08:01:53.000Z | tests/test_optimization.py | MarcelGM/transformers | aad1d9b6d5c58fd974618ac0aead1c5bd1119467 | [
"Apache-2.0"
] | 93 | 2020-02-22T05:56:28.000Z | 2022-03-27T08:43:38.000Z | tests/test_optimization.py | MarcelGM/transformers | aad1d9b6d5c58fd974618ac0aead1c5bd1119467 | [
"Apache-2.0"
] | 148 | 2020-02-14T22:16:11.000Z | 2022-03-22T17:08:04.000Z | # coding=utf-8
# Copyright 2020 The HuggingFace Team. 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 requir... | 36.584337 | 101 | 0.602174 |
4a1a0aceaf345d9f91658422f4ce9864fa2bfd70 | 34,812 | py | Python | lithops/executors.py | Cohen-J-Omer/lithops | 12bf3babbce6e9eb70a5e16cdd40093552a2ecfc | [
"Apache-2.0"
] | null | null | null | lithops/executors.py | Cohen-J-Omer/lithops | 12bf3babbce6e9eb70a5e16cdd40093552a2ecfc | [
"Apache-2.0"
] | 1 | 2021-09-21T01:16:43.000Z | 2021-09-21T01:16:43.000Z | lithops/executors.py | LaudateCorpus1/lithops | f03f45eb2795b31c2299b6873797add3e97ddf41 | [
"Apache-2.0"
] | 1 | 2021-05-25T07:28:05.000Z | 2021-05-25T07:28:05.000Z | #
# (C) Copyright IBM Corp. 2020
# (C) Copyright Cloudlab URV 2020
#
# 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 ap... | 46.231076 | 228 | 0.61249 |
4a1a0c06544cb46960ff25a38e02bed778081b1f | 1,923 | py | Python | io_util.py | rneher/nextstain_base | f3c3478cd476a94d656a9bde7a27bfc42884491e | [
"MIT"
] | 2 | 2016-07-15T19:22:08.000Z | 2020-03-25T06:59:54.000Z | io_util.py | rneher/nextstain_base | f3c3478cd476a94d656a9bde7a27bfc42884491e | [
"MIT"
] | null | null | null | io_util.py | rneher/nextstain_base | f3c3478cd476a94d656a9bde7a27bfc42884491e | [
"MIT"
] | 3 | 2016-04-22T20:28:36.000Z | 2020-03-25T06:59:55.000Z | from __future__ import division, print_function
def myopen(fname, mode='r'):
if fname[-2:] == 'gz':
from gzip import open as gopen
return gopen(fname, mode)
else:
return open(fname, mode)
def make_dir(dname):
import os
if not os.path.isdir(dname):
try:
os.ma... | 29.584615 | 85 | 0.582423 |
4a1a0c191158248c4c44739dcbf3769656117742 | 6,485 | py | Python | src/saml2/ecp.py | richtera/pysaml2 | cd446e3d08f8adb0b3541442c3f7a32c16c8385f | [
"BSD-2-Clause"
] | null | null | null | src/saml2/ecp.py | richtera/pysaml2 | cd446e3d08f8adb0b3541442c3f7a32c16c8385f | [
"BSD-2-Clause"
] | null | null | null | src/saml2/ecp.py | richtera/pysaml2 | cd446e3d08f8adb0b3541442c3f7a32c16c8385f | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2010-2011 Umeå University
#
# 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... | 31.328502 | 80 | 0.588435 |
4a1a0d1547f927d206336139f5efc46b3b346359 | 5,184 | py | Python | wx_jump_py3.py | williamfzc/wx_jump | 499800c00ff8fd4dbc02cb0e2948703d03f85d62 | [
"MIT"
] | 70 | 2017-12-30T12:13:18.000Z | 2020-01-16T07:41:33.000Z | wx_jump_py3.py | williamfzc/wx_jump | 499800c00ff8fd4dbc02cb0e2948703d03f85d62 | [
"MIT"
] | 3 | 2017-12-31T02:16:51.000Z | 2018-01-16T08:58:57.000Z | wx_jump_py3.py | williamfzc/wx_jump | 499800c00ff8fd4dbc02cb0e2948703d03f85d62 | [
"MIT"
] | 26 | 2017-12-30T14:45:45.000Z | 2022-03-07T11:21:36.000Z | from PIL import Image, ImageFilter, ImageDraw
import os
import numpy as np
import time
import random
# 该数值为1080x1920上的，可能需要微调
# 调整方法：
# 先把下方的DEVICE_SCREEN参数改成你手机的分辨率
# 用adb命令 ‘adb shell input swipe 580 1600 580 1600 XXX’ 尝试跳第一个点，记录准确的XXX
# DISTANCE_ARG 为 XXX 除以 跳第一个点算出来的距离
# 例如，我运行第一遍算出来的distance为562.5，记录到的XXX为720
# 那... | 29.454545 | 109 | 0.5951 |
4a1a0d33593aaa096566f54f51a4995ff0c2ec70 | 24,182 | py | Python | python/taichi/lang/__init__.py | zhiyaluo/taichi | 3c48f4f3ba43737761a5492c4aba298abff9f0dc | [
"MIT"
] | null | null | null | python/taichi/lang/__init__.py | zhiyaluo/taichi | 3c48f4f3ba43737761a5492c4aba298abff9f0dc | [
"MIT"
] | null | null | null | python/taichi/lang/__init__.py | zhiyaluo/taichi | 3c48f4f3ba43737761a5492c4aba298abff9f0dc | [
"MIT"
] | null | null | null | from .impl import *
from .util import deprecated
from .matrix import Matrix, Vector
from .transformer import TaichiSyntaxError
from .ndrange import ndrange, GroupedNDRange
from copy import deepcopy as _deepcopy
import functools
import os
core = taichi_lang_core
runtime = get_runtime()
i = indices(0)
j = indices(1)
k... | 30.532828 | 124 | 0.592465 |
4a1a0d72d4350b7d5615dd47e5cfb3d8c081b388 | 15,801 | py | Python | tests/storage/test_mongo_adapter.py | macdaliot/ChatterBot | 8eaab0865158aeb81a2deb4ca9d48d4ae8b483a3 | [
"BSD-3-Clause"
] | 1 | 2020-08-13T02:46:51.000Z | 2020-08-13T02:46:51.000Z | tests/storage/test_mongo_adapter.py | macdaliot/ChatterBot | 8eaab0865158aeb81a2deb4ca9d48d4ae8b483a3 | [
"BSD-3-Clause"
] | null | null | null | tests/storage/test_mongo_adapter.py | macdaliot/ChatterBot | 8eaab0865158aeb81a2deb4ca9d48d4ae8b483a3 | [
"BSD-3-Clause"
] | 1 | 2019-04-20T09:54:28.000Z | 2019-04-20T09:54:28.000Z | from unittest import TestCase
from chatterbot.storage import MongoDatabaseAdapter
from chatterbot.conversation import Statement
class MongoAdapterTestCase(TestCase):
@classmethod
def setUpClass(cls):
"""
Instantiate the adapter before any tests in the test case run.
"""
from p... | 32.05071 | 82 | 0.627049 |
4a1a0dcd4c3868560e1f17e6aff49dd21d299386 | 42,290 | py | Python | lib/sqlalchemy/sql/operators.py | edelooff/sqlalchemy | 97d2a2091ed4caee1e19168d0db39e4d94a6d12f | [
"MIT"
] | null | null | null | lib/sqlalchemy/sql/operators.py | edelooff/sqlalchemy | 97d2a2091ed4caee1e19168d0db39e4d94a6d12f | [
"MIT"
] | null | null | null | lib/sqlalchemy/sql/operators.py | edelooff/sqlalchemy | 97d2a2091ed4caee1e19168d0db39e4d94a6d12f | [
"MIT"
] | 1 | 2019-08-27T09:47:08.000Z | 2019-08-27T09:47:08.000Z | # sql/operators.py
# Copyright (C) 2005-2019 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
# This module is part of SQLAlchemy and is released under
# the MIT License: http:/... | 28.137059 | 79 | 0.616458 |
4a1a0ef30a4704b7be77d56ae5580839aa326a59 | 3,467 | py | Python | formee/formTools/deploy.py | Arpan-206/formee | beffdaf9bcac0cde99e627c3602ee9ee4b01e300 | [
"MIT"
] | 2 | 2022-03-28T06:51:28.000Z | 2022-03-30T10:15:51.000Z | formee/formTools/deploy.py | Arpan-206/formee | beffdaf9bcac0cde99e627c3602ee9ee4b01e300 | [
"MIT"
] | 1 | 2022-03-31T04:18:10.000Z | 2022-03-31T04:21:13.000Z | formee/formTools/deploy.py | Arpan-206/formee | beffdaf9bcac0cde99e627c3602ee9ee4b01e300 | [
"MIT"
] | 1 | 2022-03-29T17:01:08.000Z | 2022-03-29T17:01:08.000Z | from typing import Any
from formee.auth.user_jwt import get_user_jwt
from formee.formTools.read import read_form
from gql import Client, gql
from gql.transport.aiohttp import AIOHTTPTransport
from rich import print
transport = AIOHTTPTransport(url="https://hrbt-portal.hasura.app/v1/graphql",
... | 28.652893 | 114 | 0.616095 |
4a1a0efe9e639741906be01ecaeeb0a61ddee500 | 1,727 | py | Python | seqpos/lib/python2.7/site-packages/mercurial/pushkey.py | guanjue/seqpos | ab9308ad128547ca968a1d944490710e583703bc | [
"MIT"
] | 1 | 2019-12-19T01:53:13.000Z | 2019-12-19T01:53:13.000Z | mercurial/pushkey.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | mercurial/pushkey.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # pushkey.py - dispatching for pushing and pulling keys
#
# Copyright 2010 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import
from . import (
bookmarks,
e... | 27.854839 | 79 | 0.649102 |
4a1a0f2d4f7edb467a22d112a1bea3040637e00c | 353 | py | Python | tool_requirements.py | satnam6502/opentitan | 17fa1c5c51fbc554562d5e9db750610dac75909f | [
"Apache-2.0"
] | 1 | 2022-03-17T23:30:49.000Z | 2022-03-17T23:30:49.000Z | tool_requirements.py | mmicko/opentitan | 0394fabc87ae7a9f361c00ce4954c67499d4bf32 | [
"Apache-2.0"
] | null | null | null | tool_requirements.py | mmicko/opentitan | 0394fabc87ae7a9f361c00ce4954c67499d4bf32 | [
"Apache-2.0"
] | 1 | 2021-03-17T04:14:07.000Z | 2021-03-17T04:14:07.000Z | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
# Version requirements for various tools. Checked by tooling (e.g. fusesoc),
# and inserted into the documentation.
__TOOL_REQUIREMENTS__ = {
'verilator': '4.028',
... | 32.090909 | 76 | 0.733711 |
4a1a0faab38dcdbfb49ee7a2fb6d270e6311e08b | 1,801 | py | Python | src/data_preprocess.py | Oviyashri/Mushroom_Classification_pr | bc03cbb0351ef56e8fc903444c263ec248aefb95 | [
"MIT"
] | null | null | null | src/data_preprocess.py | Oviyashri/Mushroom_Classification_pr | bc03cbb0351ef56e8fc903444c263ec248aefb95 | [
"MIT"
] | null | null | null | src/data_preprocess.py | Oviyashri/Mushroom_Classification_pr | bc03cbb0351ef56e8fc903444c263ec248aefb95 | [
"MIT"
] | null | null | null | import pandas as pd
from re import split
import argparse
import yaml
from sklearn.preprocessing import LabelEncoder
from logger import App_Logger
file_object=open("Training_Logs/Loggings.txt", 'a+')
logger_object=App_Logger()
def read_params(config_path):
with open(config_path) as yaml_file:
config = yaml... | 37.520833 | 99 | 0.727929 |
4a1a10a324fd582de4b23efc4934a861877c06ce | 4,194 | py | Python | freelancefinder/jobs/admin.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 2 | 2017-03-18T04:28:58.000Z | 2017-04-25T10:01:28.000Z | freelancefinder/jobs/admin.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 20 | 2017-03-18T04:29:33.000Z | 2017-06-13T22:37:42.000Z | freelancefinder/jobs/admin.py | ScorpionResponse/freelancefinder | 7882aa8ed42afe689e594a3e10c9fc6369f70bf5 | [
"BSD-3-Clause"
] | 1 | 2019-01-14T19:02:06.000Z | 2019-01-14T19:02:06.000Z | """Admin site configuration for the jobs app."""
import logging
from django.contrib import admin
from .models import Post, Job, TagVariant, UserJob
logger = logging.getLogger(__name__)
def remove_tags(modeladmin, request, queryset):
"""Remove tags."""
logger.debug('MA: %s, request: %s', modeladmin, request... | 32.015267 | 146 | 0.668336 |
4a1a111ff0b3b315ecb33db2c135622903bb86e9 | 917 | py | Python | ursina/models/procedural/circle.py | RedHenDev/ursina | 56e66f066171d0e6a0fe4898ce4183f81160181d | [
"MIT"
] | 1,431 | 2019-04-19T07:15:08.000Z | 2022-03-31T15:33:18.000Z | ursina/models/procedural/circle.py | RedHenDev/ursina | 56e66f066171d0e6a0fe4898ce4183f81160181d | [
"MIT"
] | 239 | 2019-07-27T13:51:16.000Z | 2022-03-27T16:44:30.000Z | ursina/models/procedural/circle.py | RedHenDev/ursina | 56e66f066171d0e6a0fe4898ce4183f81160181d | [
"MIT"
] | 297 | 2019-07-27T12:21:49.000Z | 2022-03-30T19:28:37.000Z | from ursina import *
class Circle(Mesh):
def __init__(self, resolution=16, radius=.5, rotate=True, mode='ngon', **kwargs):
origin = Entity()
point = Entity(parent=origin)
point.y = radius
self.vertices = list()
for i in range(resolution):
origin.rotation_z -= 3... | 31.62069 | 88 | 0.621592 |
4a1a1156885f7f284170376761d5f7fd9c1ad692 | 2,015 | py | Python | my_classes.py | onepunchdan/fatigue-api-public | 16ee6b7d7d3208bc046e97329aa4e7986df580a2 | [
"MIT"
] | null | null | null | my_classes.py | onepunchdan/fatigue-api-public | 16ee6b7d7d3208bc046e97329aa4e7986df580a2 | [
"MIT"
] | null | null | null | my_classes.py | onepunchdan/fatigue-api-public | 16ee6b7d7d3208bc046e97329aa4e7986df580a2 | [
"MIT"
] | 1 | 2021-07-03T02:05:47.000Z | 2021-07-03T02:05:47.000Z | import numpy as np
class DataGenerator(object):
'Generates data for Keras'
def __init__(self, seq_dim = 11, seq_len = 200, batch_size = 20, shuffle = False):
'Initialization'
self.seq_dim = seq_dim
self.seq_len = seq_len
self.batch_size = batch_size
self.shuff... | 34.152542 | 104 | 0.575682 |
4a1a1394aec1b2ab8d9a1144470f90cc72f9a02a | 1,879 | py | Python | google finder.py | chaudharypraveen98/python_beginner | fbde604f47bbc64e3e386d8ee758a1c336f8a3d6 | [
"MIT"
] | null | null | null | google finder.py | chaudharypraveen98/python_beginner | fbde604f47bbc64e3e386d8ee758a1c336f8a3d6 | [
"MIT"
] | null | null | null | google finder.py | chaudharypraveen98/python_beginner | fbde604f47bbc64e3e386d8ee758a1c336f8a3d6 | [
"MIT"
] | null | null | null | poss_ways=[]
g_1=["g","G"]
o_1=["O","0","o","()","[]","<>"]
o_2=["O","0","o","()","[]","<>"]
g_2=["g","G"]
l_1=["l","L","I"]
e_1=["e","E","3"]
for i in g_1:
for j in o_1:
for k in o_2:
for x in g_2:
for y in l_1:
for z in e_1:
... | 28.907692 | 213 | 0.439063 |
4a1a14b83bd6750eb4e4ef9781770d6cfe891358 | 84 | py | Python | utils/models/__init__.py | roshanr11/Research-DCST | 225461e6ffd7ca5a48b9688946eb36b2d98f358e | [
"MIT"
] | 5 | 2020-04-29T08:48:53.000Z | 2020-12-23T10:11:39.000Z | utils/models/__init__.py | roshanr11/Research-DCST | 225461e6ffd7ca5a48b9688946eb36b2d98f358e | [
"MIT"
] | 2 | 2020-01-11T08:31:06.000Z | 2021-06-09T12:41:32.000Z | utils/models/__init__.py | roshanr11/Research-DCST | 225461e6ffd7ca5a48b9688946eb36b2d98f358e | [
"MIT"
] | 5 | 2019-11-20T02:49:03.000Z | 2020-09-17T15:27:34.000Z | from .parsing import *
from .parsing_gating import *
from .sequence_tagger import *
| 21 | 30 | 0.785714 |
4a1a14c921cb48cafcede12d5f70947b31793f41 | 2,623 | py | Python | Projects/Online Workouts/w3resource/Collections/program-14.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | 1 | 2019-09-23T15:51:45.000Z | 2019-09-23T15:51:45.000Z | Projects/Online Workouts/w3resource/Collections/program-14.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | 5 | 2021-02-08T20:47:19.000Z | 2022-03-12T00:35:44.000Z | Projects/Online Workouts/w3resource/Collections/program-14.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
############################################################################################
# #
# Program purpose: Rotates (negative direction) a deque object a specified number #
# ... | 37.471429 | 92 | 0.516965 |
4a1a151c952d00049f3a9c356cd8c65d98821169 | 260 | py | Python | backend/ohq/migrations/0011_merge_20210415_2110.py | pennlabs/Office-Hours-Queue | f73ec90223c43595c9a167162d9d74abfb11ca42 | [
"MIT"
] | 8 | 2020-09-05T21:12:25.000Z | 2022-01-30T18:25:12.000Z | backend/ohq/migrations/0011_merge_20210415_2110.py | pennlabs/Office-Hours-Queue | f73ec90223c43595c9a167162d9d74abfb11ca42 | [
"MIT"
] | 161 | 2020-08-05T17:05:56.000Z | 2022-03-27T17:44:51.000Z | backend/ohq/migrations/0011_merge_20210415_2110.py | pennlabs/office-hours-queue | fce98d3a1b83d1459f61e6d9c3347ef619ee384e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-04-15 21:10
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("ohq", "0010_auto_20210407_0145"),
("ohq", "0010_auto_20210405_1720"),
]
operations = []
| 18.571429 | 47 | 0.65 |
4a1a15453e252e713289bb6a73069a5076d7aaec | 2,334 | py | Python | esCUITValida.py | eliluminado/esCUITValida | 5c8c1b74a62d4e822907a7685e050d817d4e610c | [
"W3C"
] | 1 | 2018-08-12T22:48:34.000Z | 2018-08-12T22:48:34.000Z | esCUITValida.py | eliluminado/esCUITValida | 5c8c1b74a62d4e822907a7685e050d817d4e610c | [
"W3C"
] | null | null | null | esCUITValida.py | eliluminado/esCUITValida | 5c8c1b74a62d4e822907a7685e050d817d4e610c | [
"W3C"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# <Aplicacion en Python para verificar la valides de la CUIT.>
# Copyright (C) 2012 Alejandro Alvarez <contacto@codigopython.com.ar>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published... | 34.835821 | 88 | 0.638389 |
4a1a171be03090bc0e5e6b50448cdf26f614857d | 2,520 | py | Python | vendor/pip-1.2.1/tests/local_repos.py | hmoody87/heroku-buildpack-python-ffmpeg-lame | ba7f092f0f341dfb274da311ebc8a1ff43ac2e0a | [
"MIT"
] | 2 | 2017-07-14T06:55:03.000Z | 2021-06-03T19:54:37.000Z | vendor/pip-1.2.1/tests/local_repos.py | hmoody87/heroku-buildpack-python-ffmpeg-lame | ba7f092f0f341dfb274da311ebc8a1ff43ac2e0a | [
"MIT"
] | null | null | null | vendor/pip-1.2.1/tests/local_repos.py | hmoody87/heroku-buildpack-python-ffmpeg-lame | ba7f092f0f341dfb274da311ebc8a1ff43ac2e0a | [
"MIT"
] | 3 | 2015-03-26T17:19:04.000Z | 2020-11-11T13:50:47.000Z | import os
import subprocess
from pip.vcs import subversion, git, bazaar, mercurial
from pip.backwardcompat import urlretrieve
from tests.test_pip import path_to_url
from tests.pypi_server import PyPIProxy
if hasattr(subprocess, "check_call"):
subprocess_call = subprocess.check_call
else:
subprocess_call = sub... | 33.157895 | 118 | 0.712302 |
4a1a1746db7ec18226ad45bf9e98ecdf133faf45 | 49,464 | py | Python | setup.py | kellydunn/MIDItoOBS | 25b61c6777cdcf37cbf9d2516effb8ad9d058c1a | [
"MIT"
] | 1 | 2021-07-16T09:55:30.000Z | 2021-07-16T09:55:30.000Z | setup.py | kellydunn/MIDItoOBS | 25b61c6777cdcf37cbf9d2516effb8ad9d058c1a | [
"MIT"
] | null | null | null | setup.py | kellydunn/MIDItoOBS | 25b61c6777cdcf37cbf9d2516effb8ad9d058c1a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import mido, threading, sys, atexit, json, time, signal, argparse
from tinydb import TinyDB, Query
from websocket import create_connection
parser = argparse.ArgumentParser(description='MIDItoOBS Config Setup')
parser.add_argument('--config',
default='config.json',
... | 51.258031 | 596 | 0.60911 |
4a1a177c88b14b37e2a0507a59274b5dd83b09c3 | 1,337 | py | Python | cartpole/cp_r.py | Luca-Mueller/drl-transfer | 6b6f3c4dc8540e42b42d25523f948ea9de4f4ed1 | [
"MIT"
] | null | null | null | cartpole/cp_r.py | Luca-Mueller/drl-transfer | 6b6f3c4dc8540e42b42d25523f948ea9de4f4ed1 | [
"MIT"
] | null | null | null | cartpole/cp_r.py | Luca-Mueller/drl-transfer | 6b6f3c4dc8540e42b42d25523f948ea9de4f4ed1 | [
"MIT"
] | null | null | null | import pickle
import sys
import numpy as np
from pathlib import Path
HISTORY = Path("history")
KEYS = ["buffer_transfer", "model_transfer", "double_transfer"]
def calc_r(default_score, transfer_score):
mean_default = np.mean(default_score, axis=0)
mean_transfer = np.mean(transfer_score, axis=0)
return (s... | 31.833333 | 90 | 0.521316 |
4a1a17c51a82a81a9a3d0efacc75835d627e37d7 | 2,897 | py | Python | test/orm/test_selectable.py | lambdanis/sqlalchemy | f94648bb922a73423d73f17c2148253fcc5893b9 | [
"MIT"
] | 6 | 2019-02-18T12:42:44.000Z | 2020-11-11T23:10:17.000Z | test/orm/test_selectable.py | KonstantinKlepikov/sqlalchemy-1 | 2c34d2503a17316cae3282192405b9b9d60df6fe | [
"MIT"
] | null | null | null | test/orm/test_selectable.py | KonstantinKlepikov/sqlalchemy-1 | 2c34d2503a17316cae3282192405b9b9d60df6fe | [
"MIT"
] | 2 | 2021-06-12T01:38:00.000Z | 2021-09-05T21:18:29.000Z | """Generic mapping to Select statements"""
import sqlalchemy as sa
from sqlalchemy import column
from sqlalchemy import Integer
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy import testing
from sqlalchemy.orm import mapper
from sqlalchemy.orm import Session
from sqlalchemy.testing import a... | 32.188889 | 78 | 0.646186 |
4a1a17d57daa4fc6f69a812aa82eedd50f320d3d | 1,798 | py | Python | utils/common_info.py | huaweiatlasTest/AtkEval | 9d1f494e59f979c739ef6ec557a053dac44058e4 | [
"BSD-3-Clause"
] | null | null | null | utils/common_info.py | huaweiatlasTest/AtkEval | 9d1f494e59f979c739ef6ec557a053dac44058e4 | [
"BSD-3-Clause"
] | null | null | null | utils/common_info.py | huaweiatlasTest/AtkEval | 9d1f494e59f979c739ef6ec557a053dac44058e4 | [
"BSD-3-Clause"
] | 1 | 2020-01-06T13:51:25.000Z | 2020-01-06T13:51:25.000Z | import os
class CommonInfo(object):
'''class for temporary path info'''
__base = '.tmp'
__sub_model = '.tmp/sub_model'
__golden_data = '.tmp/golden_data'
__davinci_model = '.tmp/davinci_model'
__davinci_data = '.tmp/davinci_data'
__tf_black_list = {'Identity', 'Const', 'Reshape', 'Shape'}
... | 29 | 63 | 0.650167 |
4a1a1823dd18d1a5cd6214e0f267997e74df93ed | 27,204 | py | Python | lib/sqlalchemy/orm/interfaces.py | paylogic/sqlalchemy | 876a487bf06a038efde7d46ce09e253b9247aae5 | [
"MIT"
] | 2 | 2015-11-07T11:55:45.000Z | 2017-09-04T07:56:34.000Z | lib/sqlalchemy/orm/interfaces.py | mitsuhiko/sqlalchemy | 5a6895471fb6bf9afe9bdf017f1fa2c6246ae303 | [
"MIT"
] | null | null | null | lib/sqlalchemy/orm/interfaces.py | mitsuhiko/sqlalchemy | 5a6895471fb6bf9afe9bdf017f1fa2c6246ae303 | [
"MIT"
] | null | null | null | # orm/interfaces.py
# Copyright (C) 2005-2013 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""
Contains various base classes used throughout the ORM.
Defines the now depreca... | 33.751861 | 89 | 0.597192 |
4a1a18620178fca8f329b0dcfaf1eeea87cc5027 | 2,268 | py | Python | 2017/Day1-2.py | josephgruber/AoC | 8b103ab9f4ac396b7a0ccf04667443a43bef704d | [
"MIT"
] | null | null | null | 2017/Day1-2.py | josephgruber/AoC | 8b103ab9f4ac396b7a0ccf04667443a43bef704d | [
"MIT"
] | null | null | null | 2017/Day1-2.py | josephgruber/AoC | 8b103ab9f4ac396b7a0ccf04667443a43bef704d | [
"MIT"
] | null | null | null | inputData = '3294199471327195994824832197564859876682638188889768298894243832665654681412886862234525991553276578641265589959178414218389329361496673991614673626344552179413995562266818138372393213966143124914469397692587251112663217862879233226763533911128893354536353213847122251463857894159819828724827969576432191847... | 151.2 | 2,028 | 0.962963 |
4a1a18bcd9d83d8b6360a5d75f79158fd5411607 | 1,764 | py | Python | src/FFEAT/ffeat/pso/neighborhood/Nearest.py | PatrikValkovic/MasterThesis | 6e9f3b186541db6c8395ebc96ace7289d01c805b | [
"MIT"
] | null | null | null | src/FFEAT/ffeat/pso/neighborhood/Nearest.py | PatrikValkovic/MasterThesis | 6e9f3b186541db6c8395ebc96ace7289d01c805b | [
"MIT"
] | null | null | null | src/FFEAT/ffeat/pso/neighborhood/Nearest.py | PatrikValkovic/MasterThesis | 6e9f3b186541db6c8395ebc96ace7289d01c805b | [
"MIT"
] | null | null | null | ###############################
#
# Created by Patrik Valkovic
# 3/18/2021
#
###############################
from typing import Union, Callable
import torch as t
from .Neighborhood import Neighborhood
_IFU = Union[float, int]
class Nearest(Neighborhood):
"""
Closest neighbors neighborhood. This neighborhood i... | 38.347826 | 119 | 0.62415 |
4a1a19bf6ba34c6cfbcb836d8e4b4aac818c7c3d | 4,153 | py | Python | py3-old/generateData.py | adrianhindes/cavity-sml | ad8905bdecfb9f106f6149da4edf31eb04ac9630 | [
"MIT"
] | 1 | 2017-05-01T10:29:22.000Z | 2017-05-01T10:29:22.000Z | py3-old/generateData.py | adrianhindes/cavity-sml | ad8905bdecfb9f106f6149da4edf31eb04ac9630 | [
"MIT"
] | null | null | null | py3-old/generateData.py | adrianhindes/cavity-sml | ad8905bdecfb9f106f6149da4edf31eb04ac9630 | [
"MIT"
] | null | null | null | # Take raw Finesse data
# Transform through rotations, shears, rescalings and flips to
# generate training and validation data sets
from keras.preprocessing.image import ImageDataGenerator, array_to_img, \
img_to_array, load_img
from skimage import util, io
from PIL import Image
import os
from shutil import copyfi... | 33.764228 | 105 | 0.660005 |
4a1a1a42b0c689f209aae28c3895be22830275f4 | 1,511 | py | Python | em.py | Fatman13/gta_swarm | 1c4603f39cd7831f5907fd619594452b3320f75f | [
"MIT"
] | null | null | null | em.py | Fatman13/gta_swarm | 1c4603f39cd7831f5907fd619594452b3320f75f | [
"MIT"
] | null | null | null | em.py | Fatman13/gta_swarm | 1c4603f39cd7831f5907fd619594452b3320f75f | [
"MIT"
] | null | null | null | # down vote
def send_email(user, pwd, recipient, subject, body):
import smtplib
gmail_user = user
gmail_pwd = pwd
FROM = user
TO = recipient if type(recipient) is list else [recipient]
SUBJECT = subject
TEXT = body
# Prepare actual message
message = """From: %s\nTo: %s\... | 32.847826 | 113 | 0.622105 |
4a1a1ba82cba5b4e37e55fa50cb7dbbf9f7489e4 | 5,631 | py | Python | ambari-agent/src/test/python/resource_management/TestDatanodeHelper.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | null | null | null | ambari-agent/src/test/python/resource_management/TestDatanodeHelper.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | null | null | null | ambari-agent/src/test/python/resource_management/TestDatanodeHelper.py | fangxingli/mambari | 6da9f6090d4d42623529b73413c8feb8b7f6fe45 | [
"Apache-2.0",
"MIT"
] | 3 | 2017-10-31T11:42:31.000Z | 2021-04-26T07:17:53.000Z | '''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | 37.046053 | 152 | 0.731486 |
4a1a1bbb7ccf7af970e07d65191c2502a68fe265 | 2,525 | py | Python | 2019/fourier_xmas/xmas.py | jmenzelupb/MSMP-xmas | 856a914de5699347ba17716edb8c02842651de24 | [
"Unlicense"
] | 1 | 2018-01-09T09:39:20.000Z | 2018-01-09T09:39:20.000Z | 2019/fourier_xmas/xmas.py | jmenzelupb/MSMP-xmas | 856a914de5699347ba17716edb8c02842651de24 | [
"Unlicense"
] | null | null | null | 2019/fourier_xmas/xmas.py | jmenzelupb/MSMP-xmas | 856a914de5699347ba17716edb8c02842651de24 | [
"Unlicense"
] | 8 | 2017-12-20T13:50:49.000Z | 2019-12-16T10:18:36.000Z | #MSMP Christmas Challenge, entry by Johannes Menzel
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation as animation
Box = [0.0, 0.0 + 3.5j, 11.0 + 3.5j, 11.0, 0.0]
X=[0.0, -1.0 + -1.0j, 1.0 + 1.0j, 0.0, -1.0 + 1.0j, 1.0 + -1.0j]
M=[-1.0 + -1.0j, -1.0 + 1.0j, 0.0, 1.0 + 1.0j, 1.0 + -1.0j]... | 27.445652 | 115 | 0.574653 |
4a1a1bc3d3980acdfea619990607b63eec45e291 | 1,845 | py | Python | arakat-backend/validity/PipelineValidityChecker.py | ahmetfyildirim/arakat | 01cfebdb77cdcec5723b0dc9d7d597a3b288f9e1 | [
"Apache-2.0"
] | null | null | null | arakat-backend/validity/PipelineValidityChecker.py | ahmetfyildirim/arakat | 01cfebdb77cdcec5723b0dc9d7d597a3b288f9e1 | [
"Apache-2.0"
] | null | null | null | arakat-backend/validity/PipelineValidityChecker.py | ahmetfyildirim/arakat | 01cfebdb77cdcec5723b0dc9d7d597a3b288f9e1 | [
"Apache-2.0"
] | null | null | null | from domain.ErrorTypes import ErrorTypes
from domain.NodeFamilyTypes import NodeFamilyTypes
def check_validity(pipeline_nodes, pipeline_edges):
for node_id in pipeline_nodes:
if(not pipeline_nodes[node_id]["compatible_with_spark_pipeline"]):
return ErrorTypes.INCOMPATIBLE_PIPELINE_NODE, []
... | 39.255319 | 115 | 0.704607 |
4a1a1c230882a509e671c46975619de635a6a57b | 6,311 | py | Python | src/hdusd/ui/hdrpr_render.py | bnagirniak/BlenderUSDHydraAddon | d71410e6795c749001985d61c104d62ee10d07dd | [
"Apache-2.0"
] | 212 | 2020-12-08T18:54:00.000Z | 2022-03-31T21:52:12.000Z | src/hdusd/ui/hdrpr_render.py | bnagirniak/BlenderUSDHydraAddon | d71410e6795c749001985d61c104d62ee10d07dd | [
"Apache-2.0"
] | 62 | 2020-12-09T21:26:27.000Z | 2022-03-29T12:10:36.000Z | src/hdusd/ui/hdrpr_render.py | bnagirniak/BlenderUSDHydraAddon | d71410e6795c749001985d61c104d62ee10d07dd | [
"Apache-2.0"
] | 23 | 2020-12-09T09:39:17.000Z | 2022-03-21T19:59:54.000Z | #**********************************************************************
# Copyright 2020 Advanced Micro Devices, 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.or... | 32.035533 | 95 | 0.678181 |
4a1a1d1a32152282a5a04148a6c549f1be0ee1d1 | 1,397 | py | Python | connector/facebook/utils.py | Ahmed0Sultan/cipher-chatbot | 3a5613976ea9d88d98eb8cfee46a0472fb24aafd | [
"MIT"
] | 3 | 2021-05-06T15:09:49.000Z | 2022-02-16T16:34:00.000Z | connector/facebook/utils.py | Ahmed0Sultan/cipher-chatbot | 3a5613976ea9d88d98eb8cfee46a0472fb24aafd | [
"MIT"
] | null | null | null | connector/facebook/utils.py | Ahmed0Sultan/cipher-chatbot | 3a5613976ea9d88d98eb8cfee46a0472fb24aafd | [
"MIT"
] | null | null | null | import hashlib
import hmac
import six
def validate_hub_signature(app_secret, request_payload, hub_signature_header):
"""
@inputs:
app_secret: Secret Key for application
request_payload: request body
hub_signature_header: X-Hub-Signature header sent with request
... | 33.261905 | 111 | 0.65927 |
4a1a1d370a5bf8fe2972d44b9b3e0b6cca38ed64 | 29,477 | py | Python | hparams.py | gabrieldi95/Tacotron-2 | 766e3b3f7411f8f779ff60f2b6a0ac3bb55219cb | [
"MIT"
] | null | null | null | hparams.py | gabrieldi95/Tacotron-2 | 766e3b3f7411f8f779ff60f2b6a0ac3bb55219cb | [
"MIT"
] | null | null | null | hparams.py | gabrieldi95/Tacotron-2 | 766e3b3f7411f8f779ff60f2b6a0ac3bb55219cb | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
# Default hyperparameters
hparams = tf.contrib.training.HParams(
# Comma-separated list of cleaners to run on text prior to training and eval. For non-English
# text, you may want to use "basic_cleaners" or "transliteration_cleaners".
cleaners='english_cleaners',
#If yo... | 77.571053 | 190 | 0.751976 |
4a1a1d3f8f98d700f8ab535269c0a56d8c9a9989 | 488 | py | Python | kendama/migrations/0011_ladder_private.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | kendama/migrations/0011_ladder_private.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | 13 | 2021-02-13T20:15:18.000Z | 2022-03-11T23:57:07.000Z | kendama/migrations/0011_ladder_private.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | # Generated by Django 2.2.13 on 2020-08-06 12:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('kendama', '0010_auto_20200806_1259'),
]
operations = [
migrations.AddField(
model_name='ladder',
name='private',
... | 25.684211 | 152 | 0.635246 |
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