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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ff7bbecb2a03903320fce42c66b4bfb67a2b9ae5 | 860 | py | Python | experiments/vitchyr/goal_distribution/representation_learning/offline_training/pygame_1obj/generate_trajectory_with_learned_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | experiments/vitchyr/goal_distribution/representation_learning/offline_training/pygame_1obj/generate_trajectory_with_learned_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/vitchyr/goal_distribution/representation_learning/offline_training/pygame_1obj/generate_trajectory_with_learned_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | import numpy as np
from rlkit.misc.asset_loader import get_relative_path
from rlkit.torch.sets.offline_rl_launcher import generate_trajectories
def main():
# snapshot = 'manual-upload/disco-policy/snapshot_for_hand2xy_hand2x_1obj2xy_1obj2x.pkl'
snapshot = 'manual-upload/disco-policy/snapshot_for_hand2xy_hand2... | 34.4 | 111 | 0.75814 |
ff7be56a2339f9b20bb259374d660b3669d37b94 | 2,529 | py | Python | twister2/python-support/src/main/python/twister2/utils.py | pulasthi/twister2 | 40b73bdf7dcb778d957c3f146baf825a97dceae5 | [
"Apache-2.0"
] | 63 | 2017-08-31T10:02:52.000Z | 2021-12-18T21:42:14.000Z | twister2/python-support/src/main/python/twister2/utils.py | pulasthi/twister2 | 40b73bdf7dcb778d957c3f146baf825a97dceae5 | [
"Apache-2.0"
] | 284 | 2017-10-20T15:35:26.000Z | 2020-09-11T15:25:40.000Z | twister2/python-support/src/main/python/twister2/utils.py | pulasthi/twister2 | 40b73bdf7dcb778d957c3f146baf825a97dceae5 | [
"Apache-2.0"
] | 44 | 2017-08-21T19:47:57.000Z | 2020-11-22T22:45:50.000Z | import numpy as np
from twister2.TSetContext import TSetContext
class IteratorWrapper:
def __init__(self, java_ref, numpy_builder = None):
self.__java_ref = java_ref
self.__numpy_builder = numpy_builder
def __iter__(self):
return self
def __next__(self):
if self.__java_r... | 30.107143 | 113 | 0.639383 |
ff7c271d37b123be9569afcf66d04a9350e611a1 | 565 | py | Python | examples/coadd/coadd_2d_pipe/coadd_2d.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 150 | 2015-01-16T12:24:13.000Z | 2022-03-03T18:01:18.000Z | examples/coadd/coadd_2d_pipe/coadd_2d.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 129 | 2015-01-13T04:58:56.000Z | 2022-03-02T13:39:16.000Z | examples/coadd/coadd_2d_pipe/coadd_2d.py | genematx/nmrglue | 8a24cf6cbd18451e552fc0673b84c42d1dcb69a2 | [
"BSD-3-Clause"
] | 88 | 2015-02-16T20:04:12.000Z | 2022-03-10T06:50:30.000Z | #! /usr/bin/env python
import nmrglue as ng
import numpy as np
import glob
# create a list of files to coadd
flist = glob.glob("test*.fid")
flist.sort()
# initilize the new data
dic, data = ng.pipe.read(flist[0])
coadd_data = np.zeros_like(data)
coadd_dic = dict(dic)
# loop over the files, adding them to the coadde... | 22.6 | 67 | 0.709735 |
ff7c3d6a8cece349d02e64e8d9c9e4df2e37253a | 9,391 | py | Python | leetcode_python/Backtracking/restore-ip-addresses.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Backtracking/restore-ip-addresses.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Backtracking/restore-ip-addresses.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | """
93. Restore IP Addresses
Medium
A valid IP address consists of exactly four integers separated by single dots. Each integer is between 0 and 255 (inclusive) and cannot have leading zeros.
For example, "0.1.2.201" and "192.168.1.1" are valid IP addresses, but "0.011.255.245", "192.168.1.312" and "192.168@1.1" are... | 32.051195 | 234 | 0.502396 |
ff7c995308485548873ddfb7fbc431817b829c17 | 4,566 | py | Python | sumo/loss/loss.py | dslaborg/sumo | 1e9bfedaff201d4bd37b4889b6091cc4b9c8ad01 | [
"MIT"
] | 3 | 2022-02-03T22:54:14.000Z | 2022-03-31T09:59:02.000Z | sumo/loss/loss.py | dslaborg/sumo | 1e9bfedaff201d4bd37b4889b6091cc4b9c8ad01 | [
"MIT"
] | null | null | null | sumo/loss/loss.py | dslaborg/sumo | 1e9bfedaff201d4bd37b4889b6091cc4b9c8ad01 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
class GeneralizedDiceLoss(nn.Module):
"""
Compute the generalised Dice loss defined in:
Sudre, C. et al. (2017) Generalised Dice overlap as a deep learning loss function for highly unbalanced
segmentations. DLMIA 2017. https://... | 40.40708 | 120 | 0.608848 |
ff7cfdadf9efe73eda4d3de2a6b5b26b12d75c0d | 323 | py | Python | examples/one/ephys/docs_get_first_pass_map_sessions.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 38 | 2018-08-07T21:55:29.000Z | 2022-03-21T14:49:03.000Z | examples/one/ephys/docs_get_first_pass_map_sessions.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 207 | 2018-07-25T15:10:48.000Z | 2022-03-08T13:23:08.000Z | examples/one/ephys/docs_get_first_pass_map_sessions.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 35 | 2018-09-04T14:49:56.000Z | 2022-01-06T21:17:51.000Z | """
Get first pass map sessions
===========================
Use ONE to get information about sessions included in first pass map
"""
from one.api import ONE
one = ONE(base_url='https://openalyx.internationalbrainlab.org', silent=True)
first_pass_map_sessions = one.search(project='ibl_neuropixel_brainwide_01'... | 29.363636 | 78 | 0.69969 |
ff7d010bda0feccb476c74ed0f706a72839e805d | 1,888 | py | Python | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/termjs/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/termjs/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/termjs/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | """
XStatic resource package
See package 'XStatic' for documentation and basic tools.
"""
DISPLAY_NAME = 'term.js' # official name, upper/lowercase allowed, no spaces
PACKAGE_NAME = 'XStatic-%s' % DISPLAY_NAME # name used for PyPi
NAME = __name__.split('.')[-1] # package name (e.g. 'foo' or 'foo_bar')
... | 34.962963 | 77 | 0.688559 |
ff7d27c4938882eecd8ba30d4969031de5017eb0 | 15,940 | py | Python | custom_components/garbage_collection/sensor.py | aolley/Garbage-Collection | 06c8c48f737339a9350c6c1d2909f95d4248ad26 | [
"MIT"
] | null | null | null | custom_components/garbage_collection/sensor.py | aolley/Garbage-Collection | 06c8c48f737339a9350c6c1d2909f95d4248ad26 | [
"MIT"
] | null | null | null | custom_components/garbage_collection/sensor.py | aolley/Garbage-Collection | 06c8c48f737339a9350c6c1d2909f95d4248ad26 | [
"MIT"
] | null | null | null | """Sensor platform for garbage_collection."""
from homeassistant.helpers.entity import Entity
import logging
from datetime import datetime, date, timedelta
from homeassistant.core import HomeAssistant, State
from typing import List, Any
import homeassistant.util.dt as dt_util
_LOGGER = logging.getLogger(__name__)
SC... | 38.973105 | 88 | 0.563488 |
ff7d29a4c96eda47a40742d9ac24f3fede9bc49a | 629 | py | Python | pccommon/tracing.py | jisantuc/planetary-computer-apis-1 | 81a666e843cd0d8592708b35e1360fb68815816d | [
"MIT"
] | 1 | 2021-11-02T16:13:43.000Z | 2021-11-02T16:13:43.000Z | pccommon/tracing.py | moradology/planetary-computer-apis-1 | 81a666e843cd0d8592708b35e1360fb68815816d | [
"MIT"
] | null | null | null | pccommon/tracing.py | moradology/planetary-computer-apis-1 | 81a666e843cd0d8592708b35e1360fb68815816d | [
"MIT"
] | null | null | null | from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.trace.attributes_helper import COMMON_ATTRIBUTES
from pccommon.config import CommonConfig
config = CommonConfig.from_environment()
HTTP_PATH = COMMON_ATTRIBUTES["HTTP_PATH"]
HTTP_URL = COMMON_ATTRIBUTES["HTTP_URL"]
HTTP_STATUS_CODE = COMM... | 27.347826 | 75 | 0.782194 |
ff7d2d0c3f7aed66a01a8040578500ffc3988a54 | 245 | py | Python | PyChat/info.py | leosartaj/PyChat | 9c22edc6ca89e2ff636b74a9cbd0a31bb44b1667 | [
"MIT"
] | 7 | 2015-02-06T16:53:45.000Z | 2018-09-22T10:11:44.000Z | PyChat/info.py | leosartaj/PyChat | 9c22edc6ca89e2ff636b74a9cbd0a31bb44b1667 | [
"MIT"
] | 3 | 2016-12-03T17:01:21.000Z | 2021-07-08T23:03:08.000Z | PyChat/info.py | leosartaj/PyChat | 9c22edc6ca89e2ff636b74a9cbd0a31bb44b1667 | [
"MIT"
] | 2 | 2016-12-03T17:01:58.000Z | 2016-12-26T10:46:20.000Z | #!/usr/bin/env python2
##
# PyChat
# https://github.com/leosartaj/PyChat.git
#
# Copyright (c) 2014 Sartaj Singh
# Licensed under the MIT license.
##
"""
Information Variables
"""
__version__ = '1.5.0-beta'
__desc__ = 'PyChat ' + __version__
| 14.411765 | 41 | 0.685714 |
ff7d4867731932493f724838abf079cb09254a9a | 893 | py | Python | setup.py | kangfend/py-jne | 622643f0ab0e4c848a2e8578ec9946716984da34 | [
"MIT"
] | 15 | 2015-06-13T22:39:10.000Z | 2016-10-09T05:03:27.000Z | setup.py | kangfend/py-jne | 622643f0ab0e4c848a2e8578ec9946716984da34 | [
"MIT"
] | 2 | 2015-08-28T13:44:18.000Z | 2016-01-23T10:06:31.000Z | setup.py | kangfend/py-jne | 622643f0ab0e4c848a2e8578ec9946716984da34 | [
"MIT"
] | 10 | 2015-03-28T04:34:45.000Z | 2021-09-04T09:12:03.000Z | from setuptools import setup
setup(
name='py-jne',
packages=['jne'],
version='0.1.3',
description='PyJNE is a tool to simplify the user in using the JNE API such as tracking stuff, check tariffs and others.',
license='MIT',
author='Sutrisno Efendi',
author_email='kangfend@gmail.com',
ur... | 35.72 | 126 | 0.629339 |
ff7d6cf682fdfe02624faa808bd4f9c9e8841263 | 17,171 | py | Python | applications/nightly_build/test_nasnet_mobile.py | xadupre/keras-onnx | 17559f987ecce7ec40ab8a36a9596eb950f9b332 | [
"MIT"
] | 1 | 2020-10-26T03:03:02.000Z | 2020-10-26T03:03:02.000Z | applications/nightly_build/test_nasnet_mobile.py | xadupre/keras-onnx | 17559f987ecce7ec40ab8a36a9596eb950f9b332 | [
"MIT"
] | null | null | null | applications/nightly_build/test_nasnet_mobile.py | xadupre/keras-onnx | 17559f987ecce7ec40ab8a36a9596eb950f9b332 | [
"MIT"
] | null | null | null | ###############################################################################
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
###############################################################################
imp... | 45.425926 | 118 | 0.609749 |
ff7da56fb8f27989ce3ba8c4a6e13ec7212a308e | 420 | py | Python | shared_encoder/preprocess.py | shahrukhx01/multitask-learning-transformers | d4a00b57abae0b5c166d066b89614f97502446c7 | [
"Apache-2.0"
] | 29 | 2021-09-27T13:40:07.000Z | 2022-03-25T12:31:27.000Z | shared_encoder/preprocess.py | shahrukhx01/multitask-learning-transformers | d4a00b57abae0b5c166d066b89614f97502446c7 | [
"Apache-2.0"
] | 2 | 2021-10-04T16:25:09.000Z | 2022-02-23T10:27:43.000Z | shared_encoder/preprocess.py | shahrukhx01/multitask-learning-transformers | d4a00b57abae0b5c166d066b89614f97502446c7 | [
"Apache-2.0"
] | 2 | 2021-12-02T01:01:23.000Z | 2021-12-19T09:54:09.000Z | import transformers
def convert_to_features(example_batch, model_name="roberta-base", max_length=512):
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
inputs = list(example_batch["doc"])
features = tokenizer(
inputs,
max_length=max_length,
truncation=True,
... | 26.25 | 82 | 0.697619 |
ff7dca001e9a04cab03f0ce7e9ea80b97174b002 | 1,892 | py | Python | alipay/aop/api/domain/AlipaySocialBaseBcgroupJoinedConsultModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipaySocialBaseBcgroupJoinedConsultModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipaySocialBaseBcgroupJoinedConsultModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipaySocialBaseBcgroupJoinedConsultModel(object):
def __init__(self):
self._business_id = None
self._tenant_id = None
self._user_id = None
@property
def business... | 26.647887 | 73 | 0.588795 |
ff7de0377fadbbffb10312bf81af12face4050cd | 3,143 | py | Python | heat/tests/functional/test_AutoScalingMultiAZSample.py | CiscoSystems/heat | 1b609f3c0621c44e4988a166a38f36c2b57eb4c6 | [
"Apache-2.0"
] | 1 | 2020-08-15T14:29:15.000Z | 2020-08-15T14:29:15.000Z | heat/tests/functional/test_AutoScalingMultiAZSample.py | CiscoSystems/heat | 1b609f3c0621c44e4988a166a38f36c2b57eb4c6 | [
"Apache-2.0"
] | null | null | null | heat/tests/functional/test_AutoScalingMultiAZSample.py | CiscoSystems/heat | 1b609f3c0621c44e4988a166a38f36c2b57eb4c6 | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# 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 applicabl... | 38.802469 | 78 | 0.678015 |
ff7e002d102b2df2e5d0ed3833d315a50657e4de | 989 | py | Python | microfreshener/core/helper/decorator.py | di-unipi-socc/micro-tosca | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | null | null | null | microfreshener/core/helper/decorator.py | di-unipi-socc/micro-tosca | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | 3 | 2019-05-07T07:33:49.000Z | 2019-05-15T14:02:51.000Z | microfreshener/core/helper/decorator.py | di-unipi-socc/microFreshener-core | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | null | null | null | # A couple helper functions first
def _qualname(obj):
"""Get the fully-qualified name of an object (including module)."""
return obj.__module__ + '.' + obj.__qualname__
def _declaring_class(obj):
"""Get the name of the class that declared an object."""
name = _qualname(obj)
return name[:name.rfi... | 29.969697 | 71 | 0.680485 |
ff7e277eb6d548ca679c18ad0c9830feacfaaa04 | 2,706 | py | Python | gquant/dataframe_flow/taskSpecSchema.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | gquant/dataframe_flow/taskSpecSchema.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | gquant/dataframe_flow/taskSpecSchema.py | goosen78/gQuant | cc0bff4ac524ccfbe8097acd647a8b3fad5fe578 | [
"Apache-2.0"
] | null | null | null | from ._node import _Node
__all__ = ['TaskSpecSchema']
class TaskSpecSchema(object):
'''Outline fields expected in a dictionary specifying a task node.
:cvar task_id: unique id or name for the node
:cvar node_type: Plugin class i.e. subclass of Node. Specified as string
or subclass of Node
:cv... | 36.08 | 77 | 0.574649 |
ff7e3795ae8aa2210ac20435408538235fbcc155 | 529 | py | Python | setup.py | Ap0c/simple-sqlite3 | c7eb98d10a4bd64e56861370f04b859d207a576f | [
"MIT"
] | null | null | null | setup.py | Ap0c/simple-sqlite3 | c7eb98d10a4bd64e56861370f04b859d207a576f | [
"MIT"
] | 1 | 2016-06-18T17:22:35.000Z | 2016-06-18T17:22:35.000Z | setup.py | Ap0c/simple-sqlite3 | c7eb98d10a4bd64e56861370f04b859d207a576f | [
"MIT"
] | null | null | null | # ----- Imports ----- #
from setuptools import setup
# ----- Setup ----- #
setup(name='simple_sqlite3',
version='0.1.0',
description='A simple library for interacting with sqlite3 in Python.',
url='https://github.com/Ap0c/simple-sqlite3',
author='Ap0c',
license='MIT',
packages=['simple_sqlite3'],
classifiers... | 24.045455 | 72 | 0.652174 |
ff7e4f8c63800426f29ee021d9718ca9e872ca5d | 1,652 | py | Python | sdk/cognitiveservices/azure-cognitiveservices-vision-computervision/azure/cognitiveservices/vision/computervision/models/word_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/cognitiveservices/azure-cognitiveservices-vision-computervision/azure/cognitiveservices/vision/computervision/models/word_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-cognitiveservices-vision-computervision/azure/cognitiveservices/vision/computervision/models/word_py3.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 35.913043 | 95 | 0.615012 |
ff7e53ce82c4083969429c20e0f3103ed5236a1f | 1,933 | py | Python | rally/plugins/common/sla/max_average_duration.py | DeanHwd/rally | d284aa0746c54f1c375470e76dd206d19877a7fd | [
"Apache-2.0"
] | null | null | null | rally/plugins/common/sla/max_average_duration.py | DeanHwd/rally | d284aa0746c54f1c375470e76dd206d19877a7fd | [
"Apache-2.0"
] | null | null | null | rally/plugins/common/sla/max_average_duration.py | DeanHwd/rally | d284aa0746c54f1c375470e76dd206d19877a7fd | [
"Apache-2.0"
] | 1 | 2015-02-07T09:44:47.000Z | 2015-02-07T09:44:47.000Z | # Copyright 2014: Mirantis 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 b... | 36.471698 | 78 | 0.684428 |
ff7e66557c6879b02ea084602274bc66c765de16 | 3,807 | py | Python | sciwing/modules/lstm2seq_attncontext_encoder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | null | null | null | sciwing/modules/lstm2seq_attncontext_encoder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | null | null | null | sciwing/modules/lstm2seq_attncontext_encoder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | null | null | null | import torch.nn as nn
from sciwing.utils.class_nursery import ClassNursery
from sciwing.data.contextual_lines import LineWithContext
from sciwing.modules.lstm2seqencoder import Lstm2SeqEncoder
from sciwing.modules.embedders.base_embedders import BaseEmbedder
from typing import List, Union
import torch
class Lstm2SeqA... | 38.846939 | 85 | 0.675072 |
ff7ed96b3a3c85e727253bffd70fca1dc0e1b4b4 | 140 | py | Python | algorithms/arrays/remove_duplicates/__init__.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 3 | 2017-05-02T10:28:13.000Z | 2019-02-06T09:10:11.000Z | algorithms/arrays/remove_duplicates/__init__.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2017-06-21T20:39:14.000Z | 2020-02-25T10:28:57.000Z | algorithms/arrays/remove_duplicates/__init__.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2016-07-29T04:35:22.000Z | 2017-01-18T17:05:36.000Z | from typing import List
def remove_duplicates(nums: List[int]) -> int:
nums[:] = list(set(nums))
nums.sort()
return len(nums)
| 17.5 | 46 | 0.642857 |
ff7edf394ea7d1e7d84319cda207d377b005fb5c | 17,526 | py | Python | mitmproxy/options.py | takeratta/mitmproxy | 569d275d763f499cce9673fcf118dcc8d59d2eeb | [
"MIT"
] | null | null | null | mitmproxy/options.py | takeratta/mitmproxy | 569d275d763f499cce9673fcf118dcc8d59d2eeb | [
"MIT"
] | null | null | null | mitmproxy/options.py | takeratta/mitmproxy | 569d275d763f499cce9673fcf118dcc8d59d2eeb | [
"MIT"
] | null | null | null | from typing import Optional, Sequence
from mitmproxy import optmanager
from mitmproxy import contentviews
from mitmproxy.net import tls
log_verbosity = [
"error",
"warn",
"info",
"alert",
"debug",
]
APP_HOST = "mitm.it"
APP_PORT = 80
CA_DIR = "~/.mitmproxy"
LISTEN_PORT = 8080
# Some help text st... | 37.052854 | 102 | 0.557115 |
ff7ef7179caf60cc6f608b60f9a11751c8cd8323 | 272 | py | Python | Python/ex019_import_random.py | maurovasconcelos/Ola-Mundo | 526c6c271fbe916c4f9f22153828e4d8c726a544 | [
"MIT"
] | 1 | 2021-02-16T17:36:53.000Z | 2021-02-16T17:36:53.000Z | Python/ex019_import_random.py | maurovasconcelos/Ola-Mundo | 526c6c271fbe916c4f9f22153828e4d8c726a544 | [
"MIT"
] | null | null | null | Python/ex019_import_random.py | maurovasconcelos/Ola-Mundo | 526c6c271fbe916c4f9f22153828e4d8c726a544 | [
"MIT"
] | null | null | null | from random import choice
n1 = str(input('Primeiro aluno: '))
n2 = str(input('Segundo aluno: '))
n3 = str(input('Terceiro aluno: '))
n4 = str(input('Quarto aluno: '))
lista = [n1, n2, n3, n4]
escolhido = choice(lista)
print('O aluno escolhido foi {} '.format(escolhido))
| 27.2 | 52 | 0.669118 |
ff7f0b93ffb1c6e4f336e06e8804d220ea5eba69 | 6,020 | py | Python | sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_credential_entities.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | null | null | null | sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_credential_entities.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | 1 | 2021-05-31T08:56:01.000Z | 2021-05-31T08:56:01.000Z | sdk/metricsadvisor/azure-ai-metricsadvisor/samples/sample_credential_entities.py | jiriburant/azure-sdk-for-python | a3b20fd3cf30145ee74fa3dfafbdce98ea9f6ef0 | [
"MIT"
] | null | null | null | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------... | 41.232877 | 113 | 0.741196 |
ff7f6d6073517ca900022726beb789f05df0d3d0 | 3,687 | py | Python | benchmarks/CNN/13x10/ab_cnn_13x10.py | Blaok/AutoBridge | e296a6d5ffe96ddf7ee35bd239ce1cd4a41f3670 | [
"MIT"
] | 76 | 2020-12-30T05:47:35.000Z | 2022-02-21T20:05:20.000Z | benchmarks/CNN/13x10/ab_cnn_13x10.py | Blaok/AutoBridge | e296a6d5ffe96ddf7ee35bd239ce1cd4a41f3670 | [
"MIT"
] | 16 | 2021-01-08T23:49:08.000Z | 2022-03-28T22:08:31.000Z | benchmarks/CNN/13x10/ab_cnn_13x10.py | Blaok/AutoBridge | e296a6d5ffe96ddf7ee35bd239ce1cd4a41f3670 | [
"MIT"
] | 15 | 2021-03-02T05:56:58.000Z | 2021-12-23T01:28:25.000Z | #! /usr/bin/python3.6
import sys
sys.path.append('../../../src')
import graph
from formator import FormatHLS
import collections
import os
import subprocess
project_path = './kernel3_u250'
solution_path = f'{project_path}/solution/'
project_name = 'kernel3_u250'
top_name = 'kernel3'
rpt_path = f'{solution_path}/syn/... | 31.784483 | 120 | 0.735829 |
ff7f8712647ece8275b04b059eecbb87bfbc143d | 4,234 | py | Python | oscar/lib/python2.7/site-packages/IPython/external/decorators/_numpy_testing_utils.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/IPython/external/decorators/_numpy_testing_utils.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/IPython/external/decorators/_numpy_testing_utils.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | # IPython: modified copy of numpy.testing.utils, so
# IPython.external._decorators works without numpy being installed.
"""
Utility function to facilitate testing.
"""
import sys
import warnings
# The following two classes are copied from python 2.6 warnings module (context
# manager)
class WarningMessage(... | 37.469027 | 80 | 0.619981 |
ff7faf35e5c418a88246cdeb312eccc29ecd764a | 1,365 | py | Python | Userbot/plugins/hack.py | thecpumaster/Uniborg_repo | d743d544287ba113db1bfc5f463bf55b7923939b | [
"MIT"
] | 5 | 2020-04-19T21:02:49.000Z | 2020-08-02T14:02:53.000Z | Userbot/plugins/hack.py | thecpumaster/Uniborg_repo | d743d544287ba113db1bfc5f463bf55b7923939b | [
"MIT"
] | null | null | null | Userbot/plugins/hack.py | thecpumaster/Uniborg_repo | d743d544287ba113db1bfc5f463bf55b7923939b | [
"MIT"
] | 6 | 2020-06-18T19:37:43.000Z | 2021-12-27T17:12:15.000Z | """Emoji
Available Commands:
.emoji shrug
.emoji apple
.emoji :/
.emoji -_-"""
from telethon import events
import asyncio
@borg.on(events.NewMessage(pattern=r"\.(.*)", outgoing=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 2
animation_... | 25.277778 | 124 | 0.432234 |
ff7fb3086b04baf1428979da2440e3ec98c603bd | 3,613 | py | Python | oculy/plotting/plots/plot_1d.py | MatthieuDartiailh/oculy | 0cdae49aa1b546f26b31d14e944c7d481d368361 | [
"BSD-3-Clause"
] | null | null | null | oculy/plotting/plots/plot_1d.py | MatthieuDartiailh/oculy | 0cdae49aa1b546f26b31d14e944c7d481d368361 | [
"BSD-3-Clause"
] | null | null | null | oculy/plotting/plots/plot_1d.py | MatthieuDartiailh/oculy | 0cdae49aa1b546f26b31d14e944c7d481d368361 | [
"BSD-3-Clause"
] | 1 | 2022-03-21T12:14:19.000Z | 2022-03-21T12:14:19.000Z | # --------------------------------------------------------------------------------------
# Copyright 2020-2021 by Oculy Authors, see git history for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# --------------------------... | 23.309677 | 88 | 0.568226 |
ff7fb76398e710e5010710627a735153e965718a | 8,740 | py | Python | tests/tests.py | ejesse/gobblegobble | 3958f9257a58e15a6c89dd6075739fa7edb150e9 | [
"MIT"
] | 1 | 2016-04-04T23:39:35.000Z | 2016-04-04T23:39:35.000Z | tests/tests.py | ejesse/gobblegobble | 3958f9257a58e15a6c89dd6075739fa7edb150e9 | [
"MIT"
] | null | null | null | tests/tests.py | ejesse/gobblegobble | 3958f9257a58e15a6c89dd6075739fa7edb150e9 | [
"MIT"
] | null | null | null | import json
import time
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase
from django.test.utils import override_settings
from gobblegobble.bot import GobbleBot, Message
from gobblegobble.exceptions import GobbleError
from gobblegobble.mock_slack... | 56.025641 | 182 | 0.672426 |
ff7fc58beaa058f016a093774ed1a810b30def62 | 8,025 | py | Python | ads/dataset/correlation.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | 20 | 2022-02-22T19:07:09.000Z | 2022-03-16T17:21:42.000Z | ads/dataset/correlation.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | null | null | null | ads/dataset/correlation.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8; -*-
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
from __future__ import print_function, absolute_import
import numpy as np
import pandas as pd
from ads.comm... | 35.352423 | 122 | 0.661931 |
ff7fc7f39f7021dc966ee6a147e797c1d0a707fc | 4,847 | py | Python | msicontroller/analogjoystick.py | mrsl/MSI-Exhibit | 78eb413924e2153ec46cc70b1c3495d396522079 | [
"MIT"
] | null | null | null | msicontroller/analogjoystick.py | mrsl/MSI-Exhibit | 78eb413924e2153ec46cc70b1c3495d396522079 | [
"MIT"
] | null | null | null | msicontroller/analogjoystick.py | mrsl/MSI-Exhibit | 78eb413924e2153ec46cc70b1c3495d396522079 | [
"MIT"
] | null | null | null | import threading
import glob
DM = 0.4
class AnalogJoystick:
status = {}
stick = { 'x' : 0, 'y' : 0 }
maxs = { 'x' : DM, 'y' : DM }
mins = { 'x' : -DM, 'y' : -DM }
cens = { 'x' : 0, 'y' : 0 }
active = False
device = None # USB Device
thread = None # Monitor thread.
x = 0
def __init__(self):
for c in ... | 20.280335 | 55 | 0.545492 |
ff7fcbb0bfdbde3d1f79a429a9fe598acfe02aeb | 206 | py | Python | astetik/style/random_colors.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 8 | 2019-05-14T07:26:40.000Z | 2021-12-21T12:05:20.000Z | astetik/style/random_colors.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 33 | 2018-04-04T20:45:59.000Z | 2019-03-07T12:54:37.000Z | astetik/style/random_colors.py | meirm/astetik | ea05ce57a0bf1e8bd7ef18c4d5ca8d7ad3fb4be7 | [
"MIT"
] | 3 | 2020-02-09T14:35:00.000Z | 2020-12-19T13:47:23.000Z | import numpy as np
def randomcolor():
''' PICKS COLORS RANDOMLY
'''
colors = []
for i in range(20):
colors.append(list((np.random.randint(0, 255, 3) / 255)))
return colors
| 13.733333 | 65 | 0.572816 |
ff7ffe706e2750da366b72e287da255c39dbc0f2 | 591 | py | Python | tests/puzzles/test_name_score.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 3 | 2017-05-02T10:28:13.000Z | 2019-02-06T09:10:11.000Z | tests/puzzles/test_name_score.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2017-06-21T20:39:14.000Z | 2020-02-25T10:28:57.000Z | tests/puzzles/test_name_score.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2016-07-29T04:35:22.000Z | 2017-01-18T17:05:36.000Z | import unittest
from puzzles.name_score import name_score
class NameScoreTest(unittest.TestCase):
def test1(self):
self.assertEqual(name_score('Mary Jane'), {"Mary Jane": 20})
def test2(self):
self.assertEqual(name_score('Luke Skywalker'), {"Luke Skywalker": 41})
def test3(self):
... | 28.142857 | 82 | 0.663283 |
ff8014bb6a96eaaa837b6a7976cb1bd9af21e4a0 | 5,648 | py | Python | taf/testlib/TRex/TrexHLT.py | stepanandr/taf | 75cb85861f8e9703bab7dc6195f3926b8394e3d0 | [
"Apache-2.0"
] | 10 | 2016-12-16T00:05:58.000Z | 2018-10-30T17:48:25.000Z | taf/testlib/TRex/TrexHLT.py | stepanandr/taf | 75cb85861f8e9703bab7dc6195f3926b8394e3d0 | [
"Apache-2.0"
] | 40 | 2017-01-04T23:07:05.000Z | 2018-04-16T19:52:02.000Z | taf/testlib/TRex/TrexHLT.py | stepanandr/taf | 75cb85861f8e9703bab7dc6195f3926b8394e3d0 | [
"Apache-2.0"
] | 23 | 2016-12-30T05:03:53.000Z | 2020-04-01T08:40:24.000Z | # Copyright (c) 2011 - 2017, 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 agre... | 26.895238 | 128 | 0.613137 |
ff8033f8f27f43507daff54c8e92dc6270ed8bc2 | 6,512 | py | Python | baselines/common/notebook_utils.py | T3p/baselines | 5623c9160d1e86ebca3e673f142fe6b14a1db06c | [
"MIT"
] | 2 | 2020-08-01T18:19:05.000Z | 2021-06-30T06:37:23.000Z | baselines/common/notebook_utils.py | T3p/baselines | 5623c9160d1e86ebca3e673f142fe6b14a1db06c | [
"MIT"
] | null | null | null | baselines/common/notebook_utils.py | T3p/baselines | 5623c9160d1e86ebca3e673f142fe6b14a1db06c | [
"MIT"
] | 5 | 2018-11-24T16:29:39.000Z | 2021-12-10T03:07:07.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 1 11:57:26 2018
@author: matteo
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.stats as sts
import math
def bootstrap_ci(x, conf=0.95, resamples=10000):
means = [np.mean(x[np.random.choice(x.shape[0], ... | 38.532544 | 186 | 0.607033 |
ff803a08f94e727436932fd1478d38c2cd0b4e2c | 43,483 | py | Python | functions/Plot_2D.py | NCAR/musica-tutorial | 87e8adbfd57cd27f9b31552f480fc251c988fa91 | [
"Apache-2.0"
] | 5 | 2021-11-08T19:19:13.000Z | 2022-03-06T01:02:50.000Z | functions/Plot_2D.py | NCAR/musica-tutorial | 87e8adbfd57cd27f9b31552f480fc251c988fa91 | [
"Apache-2.0"
] | null | null | null | functions/Plot_2D.py | NCAR/musica-tutorial | 87e8adbfd57cd27f9b31552f480fc251c988fa91 | [
"Apache-2.0"
] | null | null | null | '''
Plot_2D.py
this code is designed for plotting CESM output
can be used for either finite volume or spectral element (+ regional refinement)
(1) 2D map plotting (class Plot_2D)
MODIFICATION HISTORY:
Duseong Jo, 19, JAN, 2021: VERSION 1.00
- Initial version
Duseong Jo, 20, JAN, 2021: VERSION 1.10
- A... | 48.314444 | 127 | 0.451096 |
ff80863b8805e4b38233b07a5b854fcecf61ffb9 | 377 | py | Python | tests/testing_resources.py | navikt/dataverk | 7dd803236433048686dd7a58358bc1c09565b14b | [
"MIT"
] | 3 | 2019-09-29T20:48:46.000Z | 2021-03-31T10:16:07.000Z | tests/testing_resources.py | navikt/dataverk | 7dd803236433048686dd7a58358bc1c09565b14b | [
"MIT"
] | 148 | 2019-02-08T12:30:58.000Z | 2021-03-11T15:31:55.000Z | tests/testing_resources.py | navikt/dataverk | 7dd803236433048686dd7a58358bc1c09565b14b | [
"MIT"
] | 1 | 2020-11-18T14:10:05.000Z | 2020-11-18T14:10:05.000Z |
MOCK_SETTINGS = {
"index_connections": {
"elastic_host": "https://es-index.no",
"index": "index-name"
},
"bucket_storage": {
"github": {
"publish": "True",
"host": "https://raw.githubusercontent.com"
}
},
}
MOCK_METADATA = {
"bucket": "my-bucket",
"id": "my-package... | 17.136364 | 49 | 0.525199 |
ff80c021e5888f47abf714fa82320aba29f6bf13 | 1,807 | py | Python | examples/voigt.py | migueldvb/pyspeckit | fa7d875da7c684c8f6aaa3ba206ef3ff2e196652 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | examples/voigt.py | migueldvb/pyspeckit | fa7d875da7c684c8f6aaa3ba206ef3ff2e196652 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | examples/voigt.py | migueldvb/pyspeckit | fa7d875da7c684c8f6aaa3ba206ef3ff2e196652 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | import pyspeckit
import numpy as np
from pyspeckit.spectrum.models import inherited_voigtfitter
# technically, the voigt fitter works as a singlefitter (i.e., you can fit the
# background level and the peak simultaneously)
# in practice, however, you need to fit the background independently except for
# gaussians. I... | 54.757576 | 148 | 0.773658 |
ff80ce46dec5775156b4c03eeadbdbf0679a324f | 1,343 | py | Python | ic-os/guestos/tests/interactive.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | 941 | 2021-05-10T08:14:14.000Z | 2022-03-31T11:40:24.000Z | ic-os/guestos/tests/interactive.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | 4 | 2021-12-22T22:34:51.000Z | 2022-03-31T07:34:19.000Z | ic-os/guestos/tests/interactive.py | 3cL1p5e7/ic | 2b6011291d900454cedcf86ec41c8c1994fdf7d9 | [
"Apache-2.0"
] | 122 | 2021-05-10T08:21:23.000Z | 2022-03-25T20:34:12.000Z | #!/usr/bin/env python3
# This script starts a minimal IC instance consisting of a single VM node
# and makes its serial console accessible interactively. Use it in the
# following way:
#
# interactive --disk_image=<your VM disk image> --version=<version> --ic_prep_bin=<path/to/ic-prep>
#
# The given disk image is first... | 27.979167 | 115 | 0.704393 |
ff811c221fc467aa8ef2780caf82de5a46b1fac4 | 17,636 | py | Python | nova/virt/libvirt/utils.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/virt/libvirt/utils.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/virt/libvirt/utils.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
# Copyright (c) 2010 Citrix Systems, Inc.
# Copyright (c) 2011 Piston Cloud Computing, Inc
# Copyright (c) 2011 OpenStack Foundation
# (c) Cop... | 33.720841 | 79 | 0.640848 |
ff813a05a51a7878268bbc8789223deeb642852d | 600 | py | Python | workflows/consumers.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | 4 | 2017-12-13T10:59:42.000Z | 2019-11-03T17:26:19.000Z | workflows/consumers.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | 21 | 2017-04-05T08:03:54.000Z | 2022-03-11T23:16:03.000Z | workflows/consumers.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | null | null | null | from urllib.parse import parse_qs
from channels import Group
from channels.sessions import channel_session
@channel_session
def ws_add(message):
message.reply_channel.send({"accept": True})
qs = parse_qs(message['query_string'])
workflow_pk = qs[b'workflow_pk'][0].decode('utf-8')
message.channel_sessi... | 31.578947 | 73 | 0.758333 |
ff815e35c0ebb173ae564e584097694b5de6c257 | 893 | py | Python | setup.py | emissible/emissilbe | 5537e787ccb883a101d2d40b38d480e257ac9755 | [
"MIT"
] | 1 | 2019-02-20T05:11:16.000Z | 2019-02-20T05:11:16.000Z | setup.py | emissible/emissilbe | 5537e787ccb883a101d2d40b38d480e257ac9755 | [
"MIT"
] | null | null | null | setup.py | emissible/emissilbe | 5537e787ccb883a101d2d40b38d480e257ac9755 | [
"MIT"
] | null | null | null | #!/bin/python
import os
from setuptools import setup
# Get version and release info, which is all stored in speedcom/version.py
ver_file = os.path.join('speedcom', 'version.py')
with open(ver_file) as f:
exec(f.read())
opts = dict(name=NAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAIN... | 28.806452 | 74 | 0.617021 |
ff8181bef4fa13cd017b1c898c0126484f22b285 | 452 | py | Python | migrations/0003_task_queue.py | audaciouscode/Quicksilver-Django | 81d09b82306171c7d049975c8c6944f56b60eaf0 | [
"Apache-2.0"
] | null | null | null | migrations/0003_task_queue.py | audaciouscode/Quicksilver-Django | 81d09b82306171c7d049975c8c6944f56b60eaf0 | [
"Apache-2.0"
] | 3 | 2021-04-08T21:49:10.000Z | 2021-06-10T20:21:36.000Z | migrations/0003_task_queue.py | audacious-software/Quicksilver-Django | 782be842e0ebec797e4cc74f77f3c1378d98b778 | [
"Apache-2.0"
] | null | null | null | # pylint: skip-file
# -*- coding: utf-8 -*-
# Generated by Django 1.11.28 on 2020-05-15 20:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('quicksilver', '0002_auto_20200514_2210'),
]
operations = [
migrations.AddField(
m... | 20.545455 | 70 | 0.599558 |
ff8182f7a960a5f86c67d9fca95ececa58d54cfa | 1,538 | py | Python | psak_src/psak_src/exploit_modules/internal_utils/__init__.py | Syslog777/psak | da9fd58a2e90adf8882019a04ddbdc2eede872cd | [
"BSD-3-Clause"
] | 28 | 2017-12-12T12:16:13.000Z | 2022-02-23T04:34:35.000Z | psak_src/psak_src/exploit_modules/internal_utils/__init__.py | Syslog777/psak | da9fd58a2e90adf8882019a04ddbdc2eede872cd | [
"BSD-3-Clause"
] | 7 | 2017-12-12T11:53:20.000Z | 2020-01-25T10:13:40.000Z | psak_src/psak_src/exploit_modules/internal_utils/__init__.py | Syslog777/psak | da9fd58a2e90adf8882019a04ddbdc2eede872cd | [
"BSD-3-Clause"
] | 10 | 2018-01-02T20:30:07.000Z | 2020-05-06T20:26:08.000Z | """
Copyright (c) 2017, Syslog777
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and... | 53.034483 | 81 | 0.776983 |
ff81ba6715120448a54444c938cad54c6da60a56 | 2,969 | py | Python | alipay/aop/api/domain/OrderPageQueryDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/OrderPageQueryDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/OrderPageQueryDTO.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.ApplyOrderData import ApplyOrderData
class OrderPageQueryDTO(object):
def __init__(self):
self._page_data = None
self._page_num = None
self._page_size... | 30.295918 | 78 | 0.574267 |
ff81bae523717baf6255e6df8010bcbc23e03dc0 | 731 | py | Python | scenarios/init_notebook.py | adhocmaster/pyns | 607feb56baf0900535130195163eac331e131a2e | [
"MIT"
] | 1 | 2021-06-15T06:21:14.000Z | 2021-06-15T06:21:14.000Z | scenarios/init_notebook.py | adhocmaster/pyns | 607feb56baf0900535130195163eac331e131a2e | [
"MIT"
] | null | null | null | scenarios/init_notebook.py | adhocmaster/pyns | 607feb56baf0900535130195163eac331e131a2e | [
"MIT"
] | 1 | 2021-06-15T06:21:18.000Z | 2021-06-15T06:21:18.000Z | import os, sys
currentFolder = os.path.abspath('')
try:
sys.path.remove(str(currentFolder))
except ValueError: # Already removed
pass
projectFolder = 'C:\\Users\\adhocmaster\\Documents\\GitHub\\pyns'
sys.path.append(str(projectFolder))
os.chdir(projectFolder)
print( f"current working dir{os.getcwd()}")
import... | 29.24 | 65 | 0.815321 |
ff81c04f9ee52b2487c5dc46648dc1512fcbbe49 | 3,099 | py | Python | tests/oauth/test_api_router.py | ethyca/fideslib | 4e302f996707840463afbfecdc4bfcd72624ef62 | [
"Apache-2.0"
] | null | null | null | tests/oauth/test_api_router.py | ethyca/fideslib | 4e302f996707840463afbfecdc4bfcd72624ef62 | [
"Apache-2.0"
] | 1 | 2022-01-27T17:18:39.000Z | 2022-02-15T23:26:24.000Z | tests/oauth/test_api_router.py | ethyca/fideslib | 4e302f996707840463afbfecdc4bfcd72624ef62 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=missing-function-docstring
from fastapi import FastAPI, status
from fastapi.testclient import TestClient
from sqlalchemy.orm import sessionmaker
import fideslib.oauth.api.endpoints as endpoints
from fideslib.oauth.api.router import OAuthRouter
def get_dummy_db():
db = sessionmaker()()
try:... | 34.433333 | 77 | 0.737657 |
ff81c81903498f5d824369f6ec28241e4053a48d | 1,076 | py | Python | bibserver/config.py | jgoldfar/bibserver | ccf0e60f1983bb5db4c2594bbd8187139556be90 | [
"MIT"
] | 47 | 2015-01-07T06:53:22.000Z | 2021-02-27T08:48:43.000Z | bibserver/config.py | dartar/bibserver | 0640592200476bd97dfe9678173d30759bdbce30 | [
"OML"
] | 10 | 2015-02-08T12:48:27.000Z | 2018-11-08T02:47:19.000Z | bibserver/config.py | dartar/bibserver | 0640592200476bd97dfe9678173d30759bdbce30 | [
"OML"
] | 21 | 2015-01-16T06:31:43.000Z | 2021-02-27T08:49:18.000Z | import os
import json
'''read the config.json file and make available as a config dict'''
def load_config(path):
fileobj = open(path)
c = ""
for line in fileobj:
if line.strip().startswith("#"):
continue
else:
c += line
out = json.loads(c)
# add some critic... | 23.391304 | 74 | 0.642193 |
ff81df44fc7915212bfb536d2efdc24a292ce741 | 25,866 | py | Python | packages/galapagos_v2/scripts/processor.py | 100kimch/ros_galapagos | 8f92cb93246c263b61199aef113e43cefc5f3939 | [
"MIT"
] | 2 | 2020-10-26T05:01:35.000Z | 2022-02-14T10:37:17.000Z | packages/galapagos_v2/scripts/processor.py | 100kimch/ros_galapagos | 8f92cb93246c263b61199aef113e43cefc5f3939 | [
"MIT"
] | null | null | null | packages/galapagos_v2/scripts/processor.py | 100kimch/ros_galapagos | 8f92cb93246c263b61199aef113e43cefc5f3939 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# NOTE: should only use "log functions" of rospy in processor.py
import rospy
from lib_eye import EYE
from lib_frontcam import *
from lib_lidar import *
from scheduler import SCHEDULER
from turtlebot import TURTLE
import timeit
import math
import requests
# * Variables
LANE_TO = "left"
STEP = ... | 30.39483 | 112 | 0.537772 |
ff8214ce5dbcca291a9af7e13cf4f395ce25410b | 6,167 | py | Python | api/integrations/hg/zulip-changegroup.py | dehnert/zulip | f5935e81c7cf2f11ff4ccfcd31d2a1061b8d7ff5 | [
"Apache-2.0"
] | 1 | 2017-07-27T19:49:12.000Z | 2017-07-27T19:49:12.000Z | api/integrations/hg/zulip-changegroup.py | dehnert/zulip | f5935e81c7cf2f11ff4ccfcd31d2a1061b8d7ff5 | [
"Apache-2.0"
] | 9 | 2021-02-08T20:22:36.000Z | 2022-03-11T23:22:45.000Z | api/integrations/hg/zulip-changegroup.py | tobby2002/zulip | 66e7c455759f9368bae16b9a604cf63f8e3524cd | [
"Apache-2.0"
] | 1 | 2021-04-09T05:50:23.000Z | 2021-04-09T05:50:23.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Zulip hook for Mercurial changeset pushes.
# Copyright © 2012-2014 Zulip, Inc.
#
# 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 res... | 35.647399 | 87 | 0.660126 |
ff82356d020a2697d2a9a532ab7146a50843702c | 5,815 | py | Python | buildscripts/resmokelib/testing/fixtures/standalone.py | tychoish/mongo | 0c695aa1e879af482dc3aea4768dbda223ff4592 | [
"Apache-2.0"
] | null | null | null | buildscripts/resmokelib/testing/fixtures/standalone.py | tychoish/mongo | 0c695aa1e879af482dc3aea4768dbda223ff4592 | [
"Apache-2.0"
] | 1 | 2015-05-29T16:12:10.000Z | 2015-05-29T16:12:10.000Z | buildscripts/resmokelib/testing/fixtures/standalone.py | tychoish/mongo | 0c695aa1e879af482dc3aea4768dbda223ff4592 | [
"Apache-2.0"
] | 1 | 2015-05-26T20:33:29.000Z | 2015-05-26T20:33:29.000Z | """
Standalone mongod fixture for executing JSTests against.
"""
from __future__ import absolute_import
import os
import os.path
import shutil
import time
import pymongo
from . import interface
from ... import config
from ... import core
from ... import errors
from ... import utils
class MongoDFixture(interface.F... | 38.256579 | 100 | 0.586071 |
ff8243ee01e91dfe8c10e4e2b5a296b9a4e83c15 | 1,401 | py | Python | showroomeventscheduler/google/token_manager.py | road-master/showroom-event-scheduler | 5dd0bfa9ad8529855d3e196a311470fa2025fbc5 | [
"MIT"
] | null | null | null | showroomeventscheduler/google/token_manager.py | road-master/showroom-event-scheduler | 5dd0bfa9ad8529855d3e196a311470fa2025fbc5 | [
"MIT"
] | 2 | 2021-08-02T16:47:05.000Z | 2021-08-02T16:47:22.000Z | showroomeventscheduler/google/token_manager.py | road-master/showroom-event-scheduler | 5dd0bfa9ad8529855d3e196a311470fa2025fbc5 | [
"MIT"
] | null | null | null | """Token manager."""
from pathlib import Path
from typing import List, Optional
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from showroomeventscheduler.google import DIRECTORY_GCP_SECRET
class TokenManager:
"""Token manager."""
PATH_TO_TOKEN = DIRECT... | 34.170732 | 91 | 0.675946 |
ff824c21b15b8c4fc81f6dbe95ee8758eed11b3c | 138 | py | Python | snmp/datadog_checks/snmp/__about__.py | gaffneyd4/integrations-core | 4c7725c9f1be4985381aad9740e7186f16a87976 | [
"BSD-3-Clause"
] | 1 | 2021-06-06T23:49:17.000Z | 2021-06-06T23:49:17.000Z | snmp/datadog_checks/snmp/__about__.py | gaffneyd4/integrations-core | 4c7725c9f1be4985381aad9740e7186f16a87976 | [
"BSD-3-Clause"
] | null | null | null | snmp/datadog_checks/snmp/__about__.py | gaffneyd4/integrations-core | 4c7725c9f1be4985381aad9740e7186f16a87976 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
__version__ = '5.2.0'
| 23 | 59 | 0.717391 |
ff82623bdfc88005b8e2fa25c12016cda0afea9c | 2,743 | py | Python | rlalgos/ppo/run_cartpole.py | Purple-PI/rlstructures | 9b201b083715bbda2f3534b010c84e11dfc0a1c7 | [
"MIT"
] | 281 | 2021-01-13T14:20:23.000Z | 2022-03-23T08:46:56.000Z | rlalgos/ppo/run_cartpole.py | Purple-PI/rlstructures | 9b201b083715bbda2f3534b010c84e11dfc0a1c7 | [
"MIT"
] | 2 | 2021-01-22T23:28:34.000Z | 2021-04-29T22:05:42.000Z | rlalgos/ppo/run_cartpole.py | Purple-PI/rlstructures | 9b201b083715bbda2f3534b010c84e11dfc0a1c7 | [
"MIT"
] | 13 | 2021-01-15T14:53:32.000Z | 2022-03-22T11:12:54.000Z | #
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
from rlstructures import logging
from rlstructures.env_wrappers import GymEnv, GymEnvInf
from rlstructures.tools import weight_init
impor... | 28.278351 | 82 | 0.668246 |
ff828fee0339a8c55551a5966bea83f72b59a756 | 308 | py | Python | django-backend/notifications/api_urls.py | isystematics/SoarCast | 6ba8d7db76e2ba1ad5fd1ab3636dd202b11450b0 | [
"Apache-2.0"
] | 2 | 2021-06-08T16:35:30.000Z | 2022-03-18T16:04:48.000Z | django-backend/notifications/api_urls.py | isystematics/SoarCast | 6ba8d7db76e2ba1ad5fd1ab3636dd202b11450b0 | [
"Apache-2.0"
] | 4 | 2022-02-22T18:43:07.000Z | 2022-02-22T18:45:25.000Z | django-backend/notifications/api_urls.py | isystematics/SoarCast | 6ba8d7db76e2ba1ad5fd1ab3636dd202b11450b0 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from .views import (
NotificationView,
UpdateNotificationReadView
)
urlpatterns = [
path('list/', NotificationView.as_view(), name='api-notifications-list'),
path('mark-as-read/', UpdateNotificationReadView.as_view(), name='api-notifications-mark-as-read'),
]
| 23.692308 | 103 | 0.727273 |
ff82ea744864103afdb53b555821d90656248eb7 | 27,311 | py | Python | bmediacenter/src/MC_PictureViewer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | bmediacenter/src/MC_PictureViewer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | bmediacenter/src/MC_PictureViewer.py | pololoko111/enigma2-plugins | 79b4e5e15663bcda7d1b679769e10942915f5bf5 | [
"OLDAP-2.3"
] | null | null | null | from enigma import ePicLoad, eTimer, getDesktop, iPlayableService, eServiceReference
from Screens.Screen import Screen
from Screens.ServiceInfo import ServiceInfoList, ServiceInfoListEntry
from Components.ActionMap import ActionMap, HelpableActionMap
from Components.Pixmap import Pixmap, MovingPixmap
from Components.La... | 40.946027 | 407 | 0.672147 |
ff82feb4048f99ad21849a0dd2e828acef565ccb | 326 | py | Python | examples/tutorial/Geosoft modules - gxapi and gxpy/grid_dimensions_gxpy.py | fearaschiarrai/gxpy | 4c5e7594b24e530a8cd94df1eef562c5c6ce3e92 | [
"BSD-2-Clause"
] | 25 | 2017-07-14T06:39:37.000Z | 2022-03-09T21:39:51.000Z | examples/tutorial/Geosoft modules - gxapi and gxpy/grid_dimensions_gxpy.py | fearaschiarrai/gxpy | 4c5e7594b24e530a8cd94df1eef562c5c6ce3e92 | [
"BSD-2-Clause"
] | 100 | 2016-12-13T17:30:41.000Z | 2021-08-01T20:21:13.000Z | examples/tutorial/Geosoft modules - gxapi and gxpy/grid_dimensions_gxpy.py | fearaschiarrai/gxpy | 4c5e7594b24e530a8cd94df1eef562c5c6ce3e92 | [
"BSD-2-Clause"
] | 28 | 2016-12-12T17:34:40.000Z | 2022-03-16T15:39:39.000Z | import geosoft.gxpy as gxpy
gxc = gxpy.gx.GXpy()
grid = gxpy.grid.Grid.open('test.grd(GRD)')
print(' dimension (nx, ny): ({}, {})'.format(grid.nx, grid.ny),
'\n separation (x, y): ({}, {})'.format(grid.dx, grid.dy),
'\n origin (x, y): ({}, {})'.format(grid.x0, grid.y0),
'\n rotation: {}'.format(grid.... | 36.222222 | 64 | 0.558282 |
ff82ff6653625ab138ba3abe570b789678844644 | 4,558 | py | Python | xpython/byteop/byteop39.py | rocky/xpython | ce4ed4329cee2af0aab94254276f5a5687dd25f9 | [
"MIT"
] | 1 | 2020-04-28T13:18:13.000Z | 2020-04-28T13:18:13.000Z | xpython/byteop/byteop39.py | rocky/xbyterun | fde8f8a31ffd3e3c4545d76b4b1edf4b7e0191d9 | [
"MIT"
] | null | null | null | xpython/byteop/byteop39.py | rocky/xbyterun | fde8f8a31ffd3e3c4545d76b4b1edf4b7e0191d9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (C) 2021 Rocky Bernstein
# This program comes with ABSOLUTELY NO WARRANTY.
# This is free software, and you are welcome to redistribute it
# under certain conditions.
# See the documentation for the full license.
"""Bytecode Interpreter operations for Python 3.9
"""
from xpython.byt... | 33.514706 | 82 | 0.618473 |
ff83031377ae2b4baef2672e3b01539ce948e492 | 2,738 | py | Python | Evaluation/Reddit/CommunitySizesGenerator.py | lapidshay/GenericAnomalousCommunitiesDetection | eae7b58bb427828abb9baa64d097114089b80af5 | [
"BSD-2-Clause"
] | null | null | null | Evaluation/Reddit/CommunitySizesGenerator.py | lapidshay/GenericAnomalousCommunitiesDetection | eae7b58bb427828abb9baa64d097114089b80af5 | [
"BSD-2-Clause"
] | null | null | null | Evaluation/Reddit/CommunitySizesGenerator.py | lapidshay/GenericAnomalousCommunitiesDetection | eae7b58bb427828abb9baa64d097114089b80af5 | [
"BSD-2-Clause"
] | null | null | null | __author__ = 'Shay Lapid'
__email__ = 'lapidshay@gmail.com'
##################################
# Imports
##################################
import numpy as np
##################################
# CommunitySizesGenerator
##################################
class CommunitySizesGenerator:
def __init__(self, partition... | 29.12766 | 120 | 0.654858 |
ff832ca6640c2880c0f253833e6865afbbc4e7f1 | 613 | py | Python | Layers/CopyCurrentLayerToOthers.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | 2 | 2021-02-12T20:36:29.000Z | 2021-11-03T08:04:01.000Z | Layers/CopyCurrentLayerToOthers.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | null | null | null | Layers/CopyCurrentLayerToOthers.py | protimient/Glyphs-Scripts | 0481ea01153844667cff8cfa3fad97c33af09956 | [
"Apache-2.0"
] | null | null | null | # MenuTitle: Copy Current Layer to Others
# -*- coding: utf-8 -*-
__doc__ = """
Replaces the contents of all other layers in the selected glyphs with the contents of the currently selected layer.
"""
import copy
Glyphs.clearLog()
# Glyphs.showMacroWindow()
Glyphs.font.disableUpdateInterface()
for sl in Glyphs.font.... | 24.52 | 115 | 0.67863 |
ff833ba21936272613b7cf52ad0405a474ff7eaa | 23,907 | py | Python | source/interpreter.py | sogno-platform/proloaf | 2c9350a291056e7a56c115ccbda3aaa019f12bbe | [
"Apache-2.0"
] | 4 | 2021-06-08T20:43:08.000Z | 2021-09-22T00:25:26.000Z | source/interpreter.py | sogno-platform/proloaf | 2c9350a291056e7a56c115ccbda3aaa019f12bbe | [
"Apache-2.0"
] | null | null | null | source/interpreter.py | sogno-platform/proloaf | 2c9350a291056e7a56c115ccbda3aaa019f12bbe | [
"Apache-2.0"
] | 2 | 2021-07-08T17:41:54.000Z | 2021-07-14T09:57:25.000Z | """
evaluates a trained Neural Network on its salient features regarding the time and feature dimension
creates a saliency heatmap
model should be trained beforehand
"""
import pandas
import pandas as pd
import torch
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import step
from statsmodels.... | 40.658163 | 169 | 0.637177 |
ff8351718c4677e4fdff2a23d13a943437a674ca | 873 | py | Python | src/flask_state/conf/config.py | XiaoyueCai/flask-state | babacbe155318c8433fa78077a972684760a7bbb | [
"BSD-3-Clause"
] | 688 | 2020-08-25T02:27:43.000Z | 2022-03-09T13:34:30.000Z | src/flask_state/conf/config.py | XiaoyueCai/flask-state | babacbe155318c8433fa78077a972684760a7bbb | [
"BSD-3-Clause"
] | 33 | 2020-08-29T04:42:31.000Z | 2021-12-15T07:52:45.000Z | src/flask_state/conf/config.py | XiaoyueCai/flask-state | babacbe155318c8433fa78077a972684760a7bbb | [
"BSD-3-Clause"
] | 66 | 2020-09-01T08:40:37.000Z | 2022-02-08T07:21:41.000Z | class Config:
""" Config """
REDIS_CONNECT_TIMEOUT = 3 # Redis socket connection timeout
REDIS_TIMEOUT = 5 # Redis socket timeout
CPU_PERCENT_INTERVAL = (
0 # Time interval to calculate CPU utilization using psutil
)
DEFAULT_BIND_SQLITE = (
"flask_state_sqlite" # Default bin... | 39.681818 | 72 | 0.699885 |
ff8375fcf30cb608578ca421bc3fe734dc09642a | 3,754 | py | Python | invenio_explicit_acls/actors/record_user.py | oarepo/invenio-acls | a649b2e71e729e3bcfa44110afeb73358aa6034a | [
"MIT"
] | null | null | null | invenio_explicit_acls/actors/record_user.py | oarepo/invenio-acls | a649b2e71e729e3bcfa44110afeb73358aa6034a | [
"MIT"
] | 7 | 2019-05-08T08:35:01.000Z | 2021-06-25T15:21:34.000Z | invenio_explicit_acls/actors/record_user.py | oarepo/invenio-explicit-acls | a649b2e71e729e3bcfa44110afeb73358aa6034a | [
"MIT"
] | 2 | 2019-03-31T19:07:30.000Z | 2019-05-06T08:11:45.000Z | #
# Copyright (c) 2019 UCT Prague.
#
# user.py is part of Invenio Explicit ACLs
# (see https://github.com/oarepo/invenio-explicit-acls).
#
# 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 w... | 37.54 | 107 | 0.691795 |
ff8378ccd0c18e9d494d584df08ab042b0f39f96 | 3,393 | py | Python | source/backend/event_completion_handler/runtime/lambda/lambda_function.py | awslabs/aws-media-replay-engine | 2c217eff42f8e2c56b43e2ecf593f5aaa92c5451 | [
"Apache-2.0"
] | 22 | 2021-11-24T01:23:07.000Z | 2022-03-26T23:24:46.000Z | source/backend/event_completion_handler/runtime/lambda/lambda_function.py | awslabs/aws-media-replay-engine | 2c217eff42f8e2c56b43e2ecf593f5aaa92c5451 | [
"Apache-2.0"
] | null | null | null | source/backend/event_completion_handler/runtime/lambda/lambda_function.py | awslabs/aws-media-replay-engine | 2c217eff42f8e2c56b43e2ecf593f5aaa92c5451 | [
"Apache-2.0"
] | 3 | 2021-12-10T09:42:51.000Z | 2022-02-16T02:22:50.000Z | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
##############################################################################
#
# PURPOSE:
# Update the status of an MRE event to Complete based on the
# configured CloudWatch EventBridge triggers. Optio... | 39 | 128 | 0.604775 |
ff83898f83ed3010771e9a4a6761bd15999ad74d | 3,371 | py | Python | beacon/__main__.py | CINECA-project/beacon-2.x | 986214fc910491206cb3b17ad4d14f00890e888d | [
"Apache-2.0"
] | null | null | null | beacon/__main__.py | CINECA-project/beacon-2.x | 986214fc910491206cb3b17ad4d14f00890e888d | [
"Apache-2.0"
] | null | null | null | beacon/__main__.py | CINECA-project/beacon-2.x | 986214fc910491206cb3b17ad4d14f00890e888d | [
"Apache-2.0"
] | null | null | null | """
Beacon API Web Server.
Designed with async/await programming model.
"""
import logging
import os
from pathlib import Path
from time import strftime
import base64
from aiohttp import web
import aiohttp_jinja2
import jinja2
from jinja2_pluralize import pluralize_dj
from . import conf, load_logger, endpoints
from .... | 30.098214 | 118 | 0.675467 |
ff83ad0c2e3242985c1794ab3697fec366500bd8 | 8,037 | py | Python | doc/conf.py | jwerdec/lmfit | ebd687735e5d388f4931d7b74fe28a0964b18144 | [
"MIT"
] | null | null | null | doc/conf.py | jwerdec/lmfit | ebd687735e5d388f4931d7b74fe28a0964b18144 | [
"MIT"
] | null | null | null | doc/conf.py | jwerdec/lmfit | ebd687735e5d388f4931d7b74fe28a0964b18144 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# lmfit documentation build configuration file, created by
# sphinx-quickstart on Fri Sep 27 20:00:56 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All c... | 32.538462 | 204 | 0.714695 |
ff83aeef958f9deb4ea612bfad779cbb247a0a7d | 6,152 | py | Python | my_model_selectors.py | randomprimate/aind-asl-recognizer | 75dab85ea3380b688c0f36b290edc8a191b5ba43 | [
"MIT"
] | null | null | null | my_model_selectors.py | randomprimate/aind-asl-recognizer | 75dab85ea3380b688c0f36b290edc8a191b5ba43 | [
"MIT"
] | null | null | null | my_model_selectors.py | randomprimate/aind-asl-recognizer | 75dab85ea3380b688c0f36b290edc8a191b5ba43 | [
"MIT"
] | null | null | null | import math
import statistics
import warnings
import numpy as np
from hmmlearn.hmm import GaussianHMM
from sklearn.model_selection import KFold
from asl_utils import combine_sequences
class ModelSelector(object):
'''
base class for model selection (strategy design pattern)
'''
def __init__(self, all... | 37.512195 | 108 | 0.619473 |
ff83ee5aaabbd8bbc9e6a97698f49d5b33f6b070 | 5,402 | py | Python | happy_slot_machine.py | breard-r/happy_slot_machine | 2151de36d92671c96805b1babec692de636b946f | [
"0BSD"
] | null | null | null | happy_slot_machine.py | breard-r/happy_slot_machine | 2151de36d92671c96805b1babec692de636b946f | [
"0BSD"
] | null | null | null | happy_slot_machine.py | breard-r/happy_slot_machine | 2151de36d92671c96805b1babec692de636b946f | [
"0BSD"
] | 1 | 2021-06-18T15:18:09.000Z | 2021-06-18T15:18:09.000Z | #!/bin/env python
#
# Copyright (c) 2015 Rodolphe Breard
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE ... | 25.601896 | 76 | 0.642355 |
ff840cdb730f5ae942d21a4d306494cfc33ac406 | 681 | py | Python | tests/grab_sigint.py | dimichxp/grab | 5fedee3009c18c8a1139b0f82736ebe473021b46 | [
"MIT"
] | 2,266 | 2015-01-01T08:47:33.000Z | 2022-03-21T05:02:55.000Z | tests/grab_sigint.py | dimichxp/grab | 5fedee3009c18c8a1139b0f82736ebe473021b46 | [
"MIT"
] | 221 | 2015-01-13T01:55:57.000Z | 2022-02-25T23:23:35.000Z | tests/grab_sigint.py | dimichxp/grab | 5fedee3009c18c8a1139b0f82736ebe473021b46 | [
"MIT"
] | 315 | 2015-01-23T06:38:55.000Z | 2022-03-27T08:33:33.000Z | # coding: utf-8
from tests.util import BaseGrabTestCase
from tests.spider_sigint import BaseKeyboardInterruptTestCase
SCRIPT_TPL = '''
import sys
import logging
try:
from grab import Grab
import os
import grab
#logging.error('PATH: ' + grab.__file__)
#logging.error('PID: ' + str(os.getpid()))
g... | 23.482759 | 66 | 0.659325 |
ff843c5dd739a0b289c9f45832b16c720ab8487c | 2,265 | py | Python | 25dflipper/flipper25d/exp/process/bag2mat.py | STAR-Center/flipperplanning3DTerrain | fcbe076446bbc6cb10da67b81c9a6349b4c51b66 | [
"MIT"
] | null | null | null | 25dflipper/flipper25d/exp/process/bag2mat.py | STAR-Center/flipperplanning3DTerrain | fcbe076446bbc6cb10da67b81c9a6349b4c51b66 | [
"MIT"
] | null | null | null | 25dflipper/flipper25d/exp/process/bag2mat.py | STAR-Center/flipperplanning3DTerrain | fcbe076446bbc6cb10da67b81c9a6349b4c51b66 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python2
'''
actually, when record the bag, I miss recog the node.
the recorded [fl,fr,bl,br] should actually be [bl, fl, br, fr]
'''
import rospy
import numpy as np
from message_filters import Subscriber,ApproximateTimeSynchronizer
from geometry_msgs.msg import PoseStampe... | 31.027397 | 188 | 0.678587 |
ff84430c037f2c19ee944690dc7034a1f6ac6d3c | 1,419 | py | Python | office365/graph/directory/directory.py | domdinicola/Office365-REST-Python-Client | c64adb6c3fdc2786e0c9529e8b0f4c3ee207d2a0 | [
"MIT"
] | null | null | null | office365/graph/directory/directory.py | domdinicola/Office365-REST-Python-Client | c64adb6c3fdc2786e0c9529e8b0f4c3ee207d2a0 | [
"MIT"
] | null | null | null | office365/graph/directory/directory.py | domdinicola/Office365-REST-Python-Client | c64adb6c3fdc2786e0c9529e8b0f4c3ee207d2a0 | [
"MIT"
] | null | null | null | from office365.graph.directory.directoryObjectCollection import DirectoryObjectCollection
from office365.graph.entity import Entity
from office365.runtime.resource_path import ResourcePath
class Directory(Entity):
"""Represents a deleted item in the directory. When an item is deleted, it is added to the deleted i... | 40.542857 | 111 | 0.706131 |
ff845e24f86f2a62244da0dbb2f61cfcc5b78444 | 765 | py | Python | src/data_utils/gtea_writer.py | knmac/LCDC_release | f977ca1cda972983cac7e33b324f07f2e1463a19 | [
"MIT"
] | 24 | 2019-09-18T09:22:08.000Z | 2022-03-08T06:47:33.000Z | src/data_utils/gtea_writer.py | knmac/LCDC_release | f977ca1cda972983cac7e33b324f07f2e1463a19 | [
"MIT"
] | 6 | 2019-09-18T09:21:02.000Z | 2022-02-09T23:31:48.000Z | src/data_utils/gtea_writer.py | knmac/LCDC_release | f977ca1cda972983cac7e33b324f07f2e1463a19 | [
"MIT"
] | 4 | 2020-08-06T02:05:36.000Z | 2021-12-12T07:19:17.000Z | """tfrecord writer for GTEA shopping dataset
"""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import os
import sys
sys.path.insert(
0,
os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'src')))
from data_utils.salads_writer i... | 25.5 | 78 | 0.673203 |
ff847769f0be6f843b3ef4eae6f248885c43564e | 828 | py | Python | scripts/cat_replay_pools.py | simonr98/Reinforcement-Learning-with-Videos | e40cec6b8d817276375e940696b290fc4e1e8bc7 | [
"MIT"
] | 25 | 2020-12-02T23:13:29.000Z | 2022-02-25T07:57:30.000Z | scripts/cat_replay_pools.py | simonr98/Reinforcement-Learning-with-Videos | e40cec6b8d817276375e940696b290fc4e1e8bc7 | [
"MIT"
] | 8 | 2020-12-12T14:11:58.000Z | 2021-12-10T20:06:04.000Z | scripts/cat_replay_pools.py | simonr98/Reinforcement-Learning-with-Videos | e40cec6b8d817276375e940696b290fc4e1e8bc7 | [
"MIT"
] | 8 | 2020-12-25T19:43:15.000Z | 2021-10-13T02:53:58.000Z | import gzip
import pickle
import numpy as np
import argparse
from os.path import join
def combine_replay_pools(args):
with gzip.open(args.path_1, 'rb') as f:
data_1 = pickle.load(f)
with gzip.open(args.path_2, 'rb') as f:
data_2 = pickle.load(f)
combined_data = {}
for k in data_1... | 25.875 | 74 | 0.661836 |
ff8489b56b566ab7a33c6561f539b6a64c9dd075 | 9,304 | py | Python | neuro-cli/tests/e2e/test_e2e_images.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 11 | 2020-10-11T15:38:11.000Z | 2021-11-09T11:29:50.000Z | neuro-cli/tests/e2e/test_e2e_images.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 611 | 2020-09-30T21:27:52.000Z | 2022-01-10T10:44:44.000Z | neuro-cli/tests/e2e/test_e2e_images.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 1 | 2020-10-05T15:10:24.000Z | 2020-10-05T15:10:24.000Z | import asyncio
import re
import subprocess
import time
from dataclasses import replace
from pathlib import Path
from typing import Any, AsyncIterator, Set
from uuid import uuid4 as uuid
import aiodocker
import pytest
from yarl import URL
from neuro_sdk import CONFIG_ENV_NAME, DEFAULT_CONFIG_PATH, JobStatus
from test... | 32.876325 | 88 | 0.677021 |
ff84900e80d46a39a755b95fb841034244542f50 | 411 | py | Python | home/migrations/0003_homepage_body.py | SyahmiAmin/belikilo | 0a26dadb514683456ea0dbdcbcfcbf65e09d5dbb | [
"bzip2-1.0.6"
] | null | null | null | home/migrations/0003_homepage_body.py | SyahmiAmin/belikilo | 0a26dadb514683456ea0dbdcbcfcbf65e09d5dbb | [
"bzip2-1.0.6"
] | null | null | null | home/migrations/0003_homepage_body.py | SyahmiAmin/belikilo | 0a26dadb514683456ea0dbdcbcfcbf65e09d5dbb | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 2.2.9 on 2020-01-19 15:56
from django.db import migrations
import wagtail.core.fields
class Migration(migrations.Migration):
dependencies = [
('home', '0002_create_homepage'),
]
operations = [
migrations.AddField(
model_name='homepage',
name... | 20.55 | 64 | 0.613139 |
ff8490649306cab072b8dceb51662289e2deda8d | 720 | py | Python | indecisive/game/client/scenes/util/elements.py | markjoshua12/game-jam-2020 | 846dd052d649a609ab7a52ac0f4dcbeb71781c3b | [
"MIT"
] | 15 | 2020-04-17T12:02:14.000Z | 2022-03-16T03:01:34.000Z | indecisive/game/client/scenes/util/elements.py | markjoshua12/game-jam-2020 | 846dd052d649a609ab7a52ac0f4dcbeb71781c3b | [
"MIT"
] | 9 | 2020-04-25T01:57:16.000Z | 2020-04-29T11:42:34.000Z | indecisive/game/client/scenes/util/elements.py | markjoshua12/game-jam-2020 | 846dd052d649a609ab7a52ac0f4dcbeb71781c3b | [
"MIT"
] | 55 | 2020-04-17T12:01:11.000Z | 2021-12-28T10:14:02.000Z | import arcade
class SimpleButton(arcade.TextButton):
def __init__(self, action, text="", x=0, y=0, width=100, height=40,
font_size=18, font="Arial", font_color=(255, 255, 255),
face_color=(50, 50, 50), highlight_color=(75, 75, 75), shadow_color=(150, 150, 150),
t... | 30 | 101 | 0.552778 |
ff84ae09b4241f35014fc9f4c06090681d6c81f2 | 55,705 | py | Python | nova/tests/api/openstack/compute/test_server_actions.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/tests/api/openstack/compute/test_server_actions.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/tests/api/openstack/compute/test_server_actions.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | # Copyright 2011 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 38.311554 | 79 | 0.575801 |
ff85277fa20e627690fe5ef099dbca1086ecaade | 1,196 | py | Python | app/modules/logs/model.py | DsCodeStudio98m0f/DTia-Nugrahab | 218ef140727849206fe76f42f43a5a231cfda9d9 | [
"Apache-2.0"
] | 16 | 2020-03-26T13:21:15.000Z | 2021-07-25T18:49:05.000Z | app/modules/logs/model.py | DsCodeStudio98m0f/DTia-Nugrahab | 218ef140727849206fe76f42f43a5a231cfda9d9 | [
"Apache-2.0"
] | 13 | 2020-03-24T18:19:48.000Z | 2022-03-12T00:18:59.000Z | app/modules/logs/model.py | DsCodeStudio98m0f/DTia-Nugrahab | 218ef140727849206fe76f42f43a5a231cfda9d9 | [
"Apache-2.0"
] | 14 | 2020-03-31T01:02:38.000Z | 2021-09-17T01:10:36.000Z | """model
Database Table Model
PROJECT: BaoAI Backend
AUTHOR: henry <703264459@qq.com>
WEBSITE: http://www.baoai.co
COPYRIGHT: Copyright © 2016-2020 广州源宝网络有限公司 Guangzhou Yuanbao Network Co., Ltd. ( http://www.ybao.org )
LICENSE: Apache-2.0
"""
from app import db
from app.common.mixin import *
class Logs(TableMixin,... | 24.916667 | 103 | 0.614548 |
ff858f456610f129a85bf9f01ca80dc7ff5c392b | 75,601 | py | Python | active_projects/eola2/cramer.py | dezren39/manim | 80d7742446c588dc296bd3afb3465a63b63383db | [
"MIT"
] | 1 | 2020-07-05T12:56:31.000Z | 2020-07-05T12:56:31.000Z | active_projects/eola2/cramer.py | smithea3/manim | 1d23a01a3ab8a5aab14163ec5c38e7b30e536e54 | [
"MIT"
] | 3 | 2021-09-08T02:19:38.000Z | 2022-03-12T00:41:00.000Z | active_projects/eola2/cramer.py | dezren39/manim | 80d7742446c588dc296bd3afb3465a63b63383db | [
"MIT"
] | 1 | 2020-07-05T12:56:33.000Z | 2020-07-05T12:56:33.000Z | from big_ol_pile_of_manim_imports import *
X_COLOR = GREEN
Y_COLOR = RED
Z_COLOR = BLUE
OUTPUT_COLOR = YELLOW
INPUT_COLOR = MAROON_B
def get_cramer_matrix(matrix, output_vect, index=0):
"""
The inputs matrix and output_vect should be Matrix mobjects
"""
new_matrix = np.array(matrix.mob_matrix)
ne... | 34.984267 | 98 | 0.594701 |
ff85970d223687aadf8a33f335dc11e7f414cddc | 3,421 | py | Python | models/mnist_lenet5.py | xhchrn/open_lth | 6b3d04a12a2f868ce851bd09b330ea57957c1de6 | [
"MIT"
] | 9 | 2021-03-30T20:43:26.000Z | 2021-12-28T06:25:17.000Z | models/mnist_lenet5.py | xhchrn/open_lth | 6b3d04a12a2f868ce851bd09b330ea57957c1de6 | [
"MIT"
] | null | null | null | models/mnist_lenet5.py | xhchrn/open_lth | 6b3d04a12a2f868ce851bd09b330ea57957c1de6 | [
"MIT"
] | 2 | 2021-03-31T01:19:48.000Z | 2021-08-02T13:41:32.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch.nn.functional as F
from foundations import hparams
from lottery.desc import LotteryDesc
from models import ... | 30.81982 | 97 | 0.62321 |
ff85ce76bd7a8910286eed0c821dfcb43d9220ab | 3,041 | py | Python | tme2/Weighter.py | raoufkeskes/SearchEngine_FromScratch | 3e8d760efa3673b279b7f5cf61957c71a766cdd8 | [
"MIT"
] | 1 | 2021-03-27T14:14:33.000Z | 2021-03-27T14:14:33.000Z | tme2/Weighter.py | raoufkeskes/SearchEngine_FromScratch | 3e8d760efa3673b279b7f5cf61957c71a766cdd8 | [
"MIT"
] | null | null | null | tme2/Weighter.py | raoufkeskes/SearchEngine_FromScratch | 3e8d760efa3673b279b7f5cf61957c71a766cdd8 | [
"MIT"
] | 1 | 2021-05-14T20:30:05.000Z | 2021-05-14T20:30:05.000Z | import numpy as np
from tme1.TextRepresenter import PorterStemmer
from collections import Counter
class Weighter(object):
def __init__( self , indexer ):
'''
Constructor
'''
self.indexer = indexer
# abstract method
def getWeightsForDoc ( self , idDoc ) :
... | 33.788889 | 98 | 0.595528 |
ff85e03b464564b4fe88a044472ff3b9e7276b63 | 3,371 | py | Python | arc/ts/run_autotst.py | amarkpayne/ARC | fcc3bc0050f50a81c02192f72aaa31ea47d29818 | [
"MIT"
] | null | null | null | arc/ts/run_autotst.py | amarkpayne/ARC | fcc3bc0050f50a81c02192f72aaa31ea47d29818 | [
"MIT"
] | null | null | null | arc/ts/run_autotst.py | amarkpayne/ARC | fcc3bc0050f50a81c02192f72aaa31ea47d29818 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
"""
AutoTST could not be run directly from ARC since it cases a `Segmentation Fault (core dump)` error
The error was traced to be related to a compiled C file of RDKit:
in autotst.reaction.py L 356: bm = rdkit.Chem.rdDistGeom.GetMoleculeBoundsMatrix(combined)
This is likel... | 37.455556 | 115 | 0.705725 |
ff85fb670775c6af05bf2c69c749b747e59d9b0e | 6,793 | py | Python | tests/test_model_mode.py | Rodrigo-A-Pereira/pykeen | 76c5acb707faa524b5951b0d1d85ab1afe806462 | [
"MIT"
] | 750 | 2020-06-23T08:36:34.000Z | 2022-03-30T22:53:18.000Z | tests/test_model_mode.py | Rodrigo-A-Pereira/pykeen | 76c5acb707faa524b5951b0d1d85ab1afe806462 | [
"MIT"
] | 691 | 2020-06-22T11:56:28.000Z | 2022-03-31T16:07:32.000Z | tests/test_model_mode.py | Rodrigo-A-Pereira/pykeen | 76c5acb707faa524b5951b0d1d85ab1afe806462 | [
"MIT"
] | 122 | 2020-06-26T14:37:56.000Z | 2022-03-23T08:25:22.000Z | # -*- coding: utf-8 -*-
"""Test that models are set in the right mode when they're training."""
import unittest
from dataclasses import dataclass
import torch
from torch import nn
from pykeen.datasets import Nations
from pykeen.models import EntityRelationEmbeddingModel, Model, TransE
from pykeen.nn.emb import Embe... | 35.015464 | 104 | 0.620786 |
ff8602c0a642594219bb83ee679283d491c8266e | 7,267 | py | Python | pulumi/infra/network.py | grapl-security/grapl | 24caa7fb4424645495d99fb338e2231fc4f66712 | [
"Apache-2.0"
] | 291 | 2020-04-24T03:40:06.000Z | 2022-03-29T02:47:16.000Z | pulumi/infra/network.py | silocityit/grapl | 3ec918cc4c0ce18fafff0a2917c726fa0fd0f1d0 | [
"Apache-2.0"
] | 848 | 2020-04-26T19:23:37.000Z | 2022-03-31T16:57:39.000Z | pulumi/infra/network.py | silocityit/grapl | 3ec918cc4c0ce18fafff0a2917c726fa0fd0f1d0 | [
"Apache-2.0"
] | 43 | 2020-04-27T20:59:18.000Z | 2022-03-29T21:56:09.000Z | import ipaddress
import math
from typing import Optional
import pulumi_aws as aws
from infra.config import DEPLOYMENT_NAME
import pulumi
# TODO: Add policy requiring that each networking-related
# infrastructure component have a "Name" (note capitalization) tag,
# since this is how these objects get their names. Oth... | 37.266667 | 114 | 0.564057 |
ff8610fdbdf8128107ce1cf24f4e14c67238ebd6 | 6,947 | py | Python | src/kmol/data/streamers.py | elix-tech/kmol | f7fb610d0cbe958891ed15032bb301fb664e4e25 | [
"MIT"
] | 27 | 2021-11-18T12:12:38.000Z | 2022-03-15T06:34:55.000Z | src/kmol/data/streamers.py | elix-tech/kmol | f7fb610d0cbe958891ed15032bb301fb664e4e25 | [
"MIT"
] | 3 | 2022-01-25T05:19:54.000Z | 2022-02-03T01:30:29.000Z | src/kmol/data/streamers.py | elix-tech/kmol | f7fb610d0cbe958891ed15032bb301fb664e4e25 | [
"MIT"
] | 3 | 2022-02-08T16:12:14.000Z | 2022-03-31T05:47:57.000Z | import logging
import operator
import os
from abc import ABCMeta, abstractmethod
from copy import copy
from enum import Enum
from functools import reduce
from joblib import Parallel, delayed
from typing import List, Dict, Union
from torch.utils.data import DataLoader, Subset
from tqdm import tqdm
from .featurizers im... | 33.080952 | 86 | 0.626457 |
ff861940d4de8c19ac0bbf0d8d0abe53a264fba8 | 139 | py | Python | py/cidoc_crm_types/properties/p191i_was_duration_of.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/properties/p191i_was_duration_of.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/properties/p191i_was_duration_of.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
@dataclass
class P191iWasDurationOf:
URI = "http://erlangen-crm.org/current/P191i_was_duration_of"
| 19.857143 | 65 | 0.798561 |
ff8625aede60ef3bba778a100675d0b5ce8f847e | 1,656 | py | Python | webservices/spec.py | adborden/openFEC | 53a0a2b1a56292c5ca8e7a3185832baaed4a63d9 | [
"CC0-1.0"
] | null | null | null | webservices/spec.py | adborden/openFEC | 53a0a2b1a56292c5ca8e7a3185832baaed4a63d9 | [
"CC0-1.0"
] | null | null | null | webservices/spec.py | adborden/openFEC | 53a0a2b1a56292c5ca8e7a3185832baaed4a63d9 | [
"CC0-1.0"
] | 1 | 2020-03-04T00:21:16.000Z | 2020-03-04T00:21:16.000Z | from apispec import APISpec
from webservices import docs
from webservices import __API_VERSION__
spec = APISpec(
title='OpenFEC',
version=__API_VERSION__,
info={'description': docs.API_DESCRIPTION},
basePath='/v1',
produces=['application/json'],
plugins=['apispec.ext.marshmallow'],
securi... | 24 | 50 | 0.469203 |
ff864fb58acde420fb4f47854d059ce30d325d4f | 5,078 | py | Python | api/base/urls.py | sergiy-neurohub/osf.io | bd12fdd4efc2eb58c0a3c805c33aaeb8672f0293 | [
"Apache-2.0"
] | null | null | null | api/base/urls.py | sergiy-neurohub/osf.io | bd12fdd4efc2eb58c0a3c805c33aaeb8672f0293 | [
"Apache-2.0"
] | null | null | null | api/base/urls.py | sergiy-neurohub/osf.io | bd12fdd4efc2eb58c0a3c805c33aaeb8672f0293 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import include, url
from django.views.generic.base import RedirectView
from api.base import views
from api.base import settings
from api.base import versioning
default_version = versioning.decimal_version_to_url_path(settings.REST_FRAMEWORK['DEFAULT_VERSION'])
# Please keep URLs alphabetized f... | 55.195652 | 140 | 0.590981 |
ff86603fbcc252d42ee7cd17c8bc02d522bd001b | 868 | py | Python | data/transcoder_evaluation_gfg/python/COUNT_WAYS_DIVIDE_CIRCLE_USING_N_NON_INTERSECTING_CHORDS.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 241 | 2021-07-20T08:35:20.000Z | 2022-03-31T02:39:08.000Z | data/transcoder_evaluation_gfg/python/COUNT_WAYS_DIVIDE_CIRCLE_USING_N_NON_INTERSECTING_CHORDS.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 49 | 2021-07-22T23:18:42.000Z | 2022-03-24T09:15:26.000Z | data/transcoder_evaluation_gfg/python/COUNT_WAYS_DIVIDE_CIRCLE_USING_N_NON_INTERSECTING_CHORDS.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 71 | 2021-07-21T05:17:52.000Z | 2022-03-29T23:49:28.000Z | # Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold ( A ) :
n = 2 * A
dpArray = [ 0 ] * ( n + 1 )
dpArray [ 0 ] = 1
dpArray [ 2 ] = 1
for i in range ... | 23.459459 | 70 | 0.501152 |
ff867914187065b5f5f4e2a5c885ec07728d40cc | 16,935 | py | Python | twilio/rest/taskrouter/v1/workspace/event.py | theDrinkMD/twibbage | c0aba60bd2df50f0a5688db4a01048ea1efd1a45 | [
"MIT"
] | 1 | 2021-02-24T04:59:03.000Z | 2021-02-24T04:59:03.000Z | twilio/rest/taskrouter/v1/workspace/event.py | theDrinkMD/twibbage | c0aba60bd2df50f0a5688db4a01048ea1efd1a45 | [
"MIT"
] | null | null | null | twilio/rest/taskrouter/v1/workspace/event.py | theDrinkMD/twibbage | c0aba60bd2df50f0a5688db4a01048ea1efd1a45 | [
"MIT"
] | 1 | 2018-12-09T00:53:21.000Z | 2018-12-09T00:53:21.000Z | # coding=utf-8
"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import deserialize
from twilio.base import serialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import ... | 32.073864 | 92 | 0.60313 |
ff86b3c7567b8c4a3bb84e03baa2d0a57423cf0e | 9,686 | py | Python | pontoon/lib/Manager.py | duggan/pontoon | 209d72efe28997ea08b16bd3896e49d8600fecc8 | [
"MIT"
] | 24 | 2015-01-02T23:55:09.000Z | 2020-04-06T12:25:37.000Z | pontoon/lib/Manager.py | duggan/pontoon | 209d72efe28997ea08b16bd3896e49d8600fecc8 | [
"MIT"
] | 35 | 2015-09-30T19:44:34.000Z | 2018-12-12T16:08:56.000Z | pontoon/lib/Manager.py | duggan/pontoon | 209d72efe28997ea08b16bd3896e49d8600fecc8 | [
"MIT"
] | 10 | 2015-09-30T15:55:01.000Z | 2020-11-04T05:15:18.000Z | # -*- coding: utf-8 -*-
try:
from urlparse import urlparse, parse_qs
except:
from urllib.parse import urlparse, parse_qs
from .baseapi import BaseAPI
from .Droplet import Droplet
from .Region import Region
from .Size import Size
from .Image import Image
from .Domain import Domain
from .SSHKey import SSHKey
fro... | 32.612795 | 79 | 0.559571 |
ff86bb745e4feb95fc972ca62c13c73644440f59 | 140,603 | py | Python | fugue_sql/_antlr/fugue_sqlLexer.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | fugue_sql/_antlr/fugue_sqlLexer.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | fugue_sql/_antlr/fugue_sqlLexer.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | # Generated from fugue_sql/_antlr/fugue_sql.g4 by ANTLR 4.9
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\u0156")
buf.write("\u0c3c\b\1\4\2\t\2\4\3\t... | 65.335967 | 109 | 0.599852 |
ff86bf26aeefe6033d61e9fe318118ae95c482f4 | 887 | py | Python | models/clone_model.py | Tabrizian/learning-to-quantize | 545ef7075ff01cbb218600878943554954cef53f | [
"Apache-2.0"
] | 16 | 2020-10-16T16:21:50.000Z | 2021-12-15T06:45:12.000Z | models/clone_model.py | Tabrizian/learning-to-quantize | 545ef7075ff01cbb218600878943554954cef53f | [
"Apache-2.0"
] | null | null | null | models/clone_model.py | Tabrizian/learning-to-quantize | 545ef7075ff01cbb218600878943554954cef53f | [
"Apache-2.0"
] | 4 | 2020-10-27T12:32:28.000Z | 2021-04-25T04:43:45.000Z | import torch
import torch.nn as nn
import copy
from torch.nn.parallel.parallel_apply import parallel_apply
class CloneModel(nn.Module):
def __init__(self, module, batch_size):
super(CloneModel, self).__init__()
self.replicas = [module]
self.batch_size = batch_size
for i in range(ba... | 29.566667 | 75 | 0.639233 |
ff86c26fd9ac97dedee2a26695b73fb878afc180 | 1,012 | py | Python | supriya/ugens/DetectSilence.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/DetectSilence.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/DetectSilence.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | import collections
from supriya import CalculationRate
from supriya.ugens.Filter import Filter
class DetectSilence(Filter):
"""
Evaluates `done_action` when input falls below `threshold`.
::
>>> source = supriya.ugens.WhiteNoise.ar()
>>> source *= supriya.ugens.Line.kr(start=1, stop=0)
... | 25.3 | 84 | 0.613636 |
ff86c660f3b4b6ee88020349396611e9d80a7a5c | 5,482 | py | Python | ryu/flags.py | zspcchinu/-Optimal-routing-using-RL-with-SDN | b7993c7f328ab6bafdcb6dab56f4ecd83ef0fe14 | [
"Apache-2.0"
] | 8 | 2020-09-08T01:34:38.000Z | 2022-02-19T07:46:06.000Z | ryu/flags.py | zspcchinu/-Optimal-routing-using-RL-with-SDN | b7993c7f328ab6bafdcb6dab56f4ecd83ef0fe14 | [
"Apache-2.0"
] | null | null | null | ryu/flags.py | zspcchinu/-Optimal-routing-using-RL-with-SDN | b7993c7f328ab6bafdcb6dab56f4ecd83ef0fe14 | [
"Apache-2.0"
] | 3 | 2020-12-02T18:30:54.000Z | 2022-03-21T08:02:50.000Z | # Copyright (C) 2011 Nippon Telegraph and Telephone Corporation.
# Copyright (C) 2011 Isaku Yamahata <yamahata at valinux co jp>
#
# 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://... | 40.014599 | 77 | 0.655783 |
ff86d71d2042145f2e89b69b2fa15f0410898d24 | 9,584 | py | Python | examples/utils.py | JiazhengChai/synergy_DRL | c08e78e5fe39d9d46213e1bf07b8dafc2195b05a | [
"MIT"
] | 2 | 2020-01-07T04:12:42.000Z | 2021-12-21T22:25:31.000Z | examples/utils.py | JiazhengChai/synergy_DRL | c08e78e5fe39d9d46213e1bf07b8dafc2195b05a | [
"MIT"
] | 11 | 2019-11-29T02:59:34.000Z | 2022-03-12T00:07:28.000Z | examples/utils.py | JiazhengChai/synergy_DRL | c08e78e5fe39d9d46213e1bf07b8dafc2195b05a | [
"MIT"
] | 1 | 2020-04-28T12:06:40.000Z | 2020-04-28T12:06:40.000Z | import multiprocessing
import argparse
from distutils.util import strtobool
import json
from ray.tune import sample_from
import softlearning.algorithms.utils as alg_utils
import softlearning.environments.utils as env_utils
from softlearning.misc.utils import datetimestamp
DEFAULT_UNIVERSE = 'gym'
DEFAULT_DOMAIN = '... | 30.329114 | 80 | 0.608827 |
ff87154afeb116a7682b854d0740b7b6979a1dce | 89 | py | Python | app/auth/__init__.py | Monroe100/personalblog | d4fc0cee23adc8927814077f734413efb8dad21d | [
"MIT"
] | null | null | null | app/auth/__init__.py | Monroe100/personalblog | d4fc0cee23adc8927814077f734413efb8dad21d | [
"MIT"
] | null | null | null | app/auth/__init__.py | Monroe100/personalblog | d4fc0cee23adc8927814077f734413efb8dad21d | [
"MIT"
] | null | null | null |
from flask import Blueprint
auth = Blueprint('auth',__name__)
from . import views, forms | 22.25 | 33 | 0.775281 |
ff87237b7908e26f63361b74cea41042642e20b0 | 7,610 | py | Python | apps/blog/migrations/0001_initial.py | Profeel/django_blog | 6c86c0e4c3b3b122317bbb24a43ded4cb32724d9 | [
"Apache-2.0"
] | 1 | 2016-03-07T00:38:52.000Z | 2016-03-07T00:38:52.000Z | apps/blog/migrations/0001_initial.py | Profeel/django_blog | 6c86c0e4c3b3b122317bbb24a43ded4cb32724d9 | [
"Apache-2.0"
] | null | null | null | apps/blog/migrations/0001_initial.py | Profeel/django_blog | 6c86c0e4c3b3b122317bbb24a43ded4cb32724d9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Blog'
db.create_table(u'blog_blog', (
... | 61.869919 | 196 | 0.568988 |
ff875bf2d17a528fe3eaa60727787664d0bf4060 | 2,099 | py | Python | netbox/settings/development.py | moonbirddk/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-09-02T12:45:31.000Z | 2018-02-10T10:18:11.000Z | netbox/settings/development.py | Socialsquare/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 17 | 2020-03-24T15:58:05.000Z | 2022-02-10T08:08:57.000Z | netbox/settings/development.py | moonbirddk/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2018-01-05T08:02:18.000Z | 2018-01-05T08:02:18.000Z |
import os
import sys
from .base import *
SECRET_KEY = 'secret key'
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
INSTALLED_APPS += ('django_nose',)
TEST_RUNNER = 'django_nose.NoseTestSuiteRunner'
NOSE_ARGS = [
'--verbosity=2',
'--with-yanc',
'--cover-branches',
'--with-cove... | 20.182692 | 64 | 0.450214 |
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